From 1c7d7ff2166220320239ac5f31d85556dcb6dd01 Mon Sep 17 00:00:00 2001
From: Ben Anderson <dataknut@icloud.com>
Date: Tue, 10 Nov 2020 12:31:58 +0000
Subject: [PATCH] added EPC data checks as seperate file

---
 EPCsAndCarbon/epcChecks.Rmd |  603 ++++
 EPCsAndCarbon/makeFile.R    |    6 +-
 docs/epcChecks.docx         |  Bin 0 -> 303914 bytes
 docs/epcChecks.html         | 6809 +++++++++++++++++++++++++++++++++++
 4 files changed, 7415 insertions(+), 3 deletions(-)
 create mode 100644 EPCsAndCarbon/epcChecks.Rmd
 create mode 100644 docs/epcChecks.docx
 create mode 100644 docs/epcChecks.html

diff --git a/EPCsAndCarbon/epcChecks.Rmd b/EPCsAndCarbon/epcChecks.Rmd
new file mode 100644
index 0000000..0b2c8f8
--- /dev/null
+++ b/EPCsAndCarbon/epcChecks.Rmd
@@ -0,0 +1,603 @@
+---
+params:
+  subtitle: ""
+  title: ""
+  authors: ""
+title: '`r params$title`'
+subtitle: '`r params$subtitle`'
+author: '`r params$authors`'
+date: 'Last run at: `r Sys.time()`'
+output:
+  bookdown::html_document2:
+    self_contained: true
+    fig_caption: yes
+    code_folding: hide
+    number_sections: yes
+    toc: yes
+    toc_depth: 2
+    toc_float: TRUE
+  bookdown::pdf_document2:
+    fig_caption: yes
+    number_sections: yes
+  bookdown::word_document2:
+    fig_caption: yes
+    number_sections: yes
+    toc: yes
+    toc_depth: 2
+    fig_width: 5
+bibliography: '`r path.expand("~/github/dataknut/refs/refs.bib")`'
+always_allow_html: true
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = TRUE)
+
+library(data.table)
+library(ggplot2)
+library(kableExtra)
+library(readxl)
+```
+
+# Energy Performance Certificates (EPCs)
+
+Apart from a few exempted buildings, a dwelling must have an EPC when constructed, sold or let. This means that over time we will have an EPC for an increasing number of properties and we should _already_ have EPCs for all rented properties.
+
+EPCs are not necessarily up to date. For example if a property has not been sold or let since a major upgrade, the effects of that upgrade may not be visible in the data.
+
+Further reading: 
+
+ * https://epc.opendatacommunities.org/docs/guidance#technical_notes
+ * https://en.wikipedia.org/wiki/Energy_Performance_Certificate_(United_Kingdom)#Procedure
+
+> check what feeds in automatically e.f. RHI installs etc
+
+We have to assume the data we have is the _current state of play_ for these dwellings.
+
+# Data loading
+
+Load the data for the area of interest - in this case the City of Southampton.
+
+```{r, loadSoton}
+df <- path.expand("~/data/EW_epc/domestic-E06000045-Southampton/certificates.csv")
+allEPCs_DT <- data.table::fread(df)
+```
+
+The EPC data file has `r nrow(allEPCs_DT)` records for Southampton and `r ncol(allEPCs_DT)` variables. We're not interested in all of these, we want:
+
+ * PROPERTY_TYPE: Describes the type of property such as House, Flat, Maisonette etc. This is the type differentiator for dwellings;
+ * BUILT_FORM: The building type of the Property e.g. Detached, Semi-Detached, Terrace etc. Together with the Property Type, the Build Form produces a structured description of the property;
+ * ENVIRONMENT_IMPACT_CURRENT: A measure of the property's current impact on the environment in terms of carbon dioxide (COâ‚‚) emissions. The higher the rating the lower the COâ‚‚ emissions. (COâ‚‚ emissions in tonnes / year) **NB this is a categorised scale calculated from CO2_EMISSIONS_CURRENT**;
+ * ENERGY_CONSUMPTION_CURRENT: Current estimated total energy consumption for the property in a 12 month period (**kWh/m2**). Displayed on EPC as the current primary energy use per square metre of floor area. **Nb: this covers heat and hot water (and lightng?)**
+ * CO2_EMISSIONS_CURRENT: COâ‚‚ emissions per year in tonnes/year **NB: this is calculated from the modelled kWh energy input using (possibly) outdated carbon intensity values**;
+ * TENURE: Describes the tenure type of the property. One of: Owner-occupied; Rented (social); Rented (private).
+ 
+ We're also going to keep:
+ 
+  * WIND_TURBINE_COUNT: Number of wind turbines; 0 if none;
+  * PHOTO_SUPPLY: Percentage of photovoltaic area as a percentage of total roof area. 0% indicates that a Photovoltaic Supply is not present in the property;
+  * TOTAL_FLOOR_AREA: The total useful floor area is the total of all enclosed spaces measured to the internal face of the external walls, i.e. the gross floor area as measured in accordance with the guidance issued from time to time by the Royal Institute of Chartered Surveyors or by a body replacing that institution. (m²) - to allow for the calculation of total energy demand;
+  * POSTCODE - to allow linkage to other datasets
+  * LOCAL_AUTHORITY_LABEL - for checking
+  * INSPECTION_DATE - so we can select the most receitn
+  
+These may indicate 'non-grid' energy inputs.
+
+## Select most recent records
+
+If an EPC has been updated or refreshed, the EPC dataset will hold multiple EPC records for that property (see Table \@ref(tab:plotAllRecords)).
+
+```{r, plotAllRecords, fig.cap="All records: Inspection date"}
+ggplot2::ggplot(allEPCs_DT, aes(x = INSPECTION_DATE)) +
+  geom_histogram()
+
+t <- allEPCs_DT[, .(nRecords = .N,
+                    firstDate = min(INSPECTION_DATE),
+                    lastDate = max(INSPECTION_DATE)), keyby = .(BUILDING_REFERENCE_NUMBER)]
+
+kableExtra::kable(head(t[nRecords > 1]), cap = "Examples of multiple records")
+```
+\@ref(fig:plotAllRecords) shows the inspection date of all EPC records. We want to just select the most recent as we are not currently interested in change over time.
+
+```{r, checkData}
+# select just these vars
+dt <- allEPCs_DT[, .(BUILDING_REFERENCE_NUMBER, LMK_KEY, LODGEMENT_DATE,INSPECTION_DATE, PROPERTY_TYPE, BUILT_FORM,
+                ENVIRONMENT_IMPACT_CURRENT, ENERGY_CONSUMPTION_CURRENT, CO2_EMISSIONS_CURRENT, TENURE,
+                PHOTO_SUPPLY, WIND_TURBINE_COUNT, TOTAL_FLOOR_AREA, 
+                POSTCODE, LOCAL_AUTHORITY_LABEL)]
+
+# select most recent record within BUILDING_REFERENCE_NUMBER - how?
+# better check this is doing so
+setkey(dt,BUILDING_REFERENCE_NUMBER, INSPECTION_DATE) # sort by date within reference number
+sotonUniqueEPCsDT <- unique(dt, by = "BUILDING_REFERENCE_NUMBER",
+                   fromLast = TRUE) # which one does it take?
+
+t <- sotonUniqueEPCsDT[, .(nRecords = .N,
+                    firstDate = min(INSPECTION_DATE),
+                    lastDate = max(INSPECTION_DATE)), keyby = .(BUILDING_REFERENCE_NUMBER)]
+
+t[, diff := firstDate - lastDate] # should be 0
+
+message("Check difference between min & max dates per record - should be 0")
+summary(t$diff)
+uniqueN(sotonUniqueEPCsDT$BUILDING_REFERENCE_NUMBER)
+```
+
+This leaves us with `r prettyNum(uniqueN(sotonUniqueEPCsDT$BUILDING_REFERENCE_NUMBER), big.mark = ",")` cases and \@ref(fig:plotLatestRecords) shows the inspection date of the most recent records once we have selected them.
+
+```{r, plotLatestRecords, fig.cap="Latest records: Inspection date"}
+ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = INSPECTION_DATE)) +
+  geom_histogram()
+```
+
+## Descriptives
+
+Now check the distributions of the retained variables.
+
+```{r, testUniqueLatest}
+skimr::skim(sotonUniqueEPCsDT)
+```
+
+As we can see that we have `r uniqueN(dt$BUILDING_REFERENCE_NUMBER)` unique property reference numbers. We can also see some strangeness. In some cases we seem to have:
+ 
+ * negative energy consumption;
+ * negative emissions;
+ * 0 floor area
+
+This is not surprising since the kWh/y and TCO2/y values are estimated using a model but before we go any further we'd better check if these are significant in number.
+
+# Data checks
+
+## Check 'missing' EPC rates
+
+We will do this mostly at MSOA level as it allows us to link to other MSOA level datasets. Arguably it would be better to do this at LSOA level but...
+
+First we'll use the BEIS 2018 MSOA level annual electricity data to estimate the number of meters (not properties) - some addresses can have 2 meters (e.g. standard & economy 7). This is more useful than the number of gas meters since not all dwellings have mains gas but all have an electricity meter.
+
+```{r, checkBEIS}
+beisElecDT <- data.table::fread("~/data/beis/MSOA_DOM_ELEC_csv/MSOA_ELEC_2018.csv")
+sotonElecDT <- beisElecDT[LAName %like% "Southampton", .(nElecMeters = METERS,  
+                                                         beisElecMWh = KWH/1000, 
+                                                         MSOACode, LAName)
+                          ]
+
+
+beisGasDT <- data.table::fread("~/data/beis/MSOA_DOM_GAS_csv/MSOA_GAS_2018.csv")
+sotonGasDT <- beisGasDT[LAName %like% "Southampton", .(nGasMeters = METERS,  
+                                                         beisGasMWh = KWH/1000, 
+                                                         MSOACode)]
+
+setkey(sotonElecDT, MSOACode)
+setkey(sotonGasDT, MSOACode)
+sotonEnergyDT <- sotonGasDT[sotonElecDT]
+sotonEnergyDT[, beisEnergyMWh := beisElecMWh + beisGasMWh]
+#head(sotonEnergyDT)
+```
+
+Next we'll check for the number of households reported by the 2011 Census.
+
+> would be better to use dwellings but this gives us tenure
+
+```{r, checkCensus}
+#censusDT <- data.table::fread(path.expand("~/data/"))
+# IMD ----
+deprivationDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_deprivation.csv"))
+deprivationDT[, totalHouseholds := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
+deprivationDT[, MSOACode := `geography code`]
+setkey(deprivationDT, MSOACode)
+setkey(sotonElecDT, MSOACode)
+# link LA name from Soton elec for now
+sotonDep_DT <- deprivationDT[sotonElecDT[, .(MSOACode, LAName)]]
+sotonDep_DT[, nHHs_deprivation := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
+
+#sotonDep_DT[, .(nHouseholds = sum(totalHouseholds)), keyby = .(LAName)]
+
+# census tenure ----
+sotonTenureDT <- data.table::fread(path.expand("~/data/census2011/2011_MSOA_householdTenure_Soton.csv"))
+
+sotonTenureDT[, census2011_socialRent := `Tenure: Social rented; measures: Value`]
+sotonTenureDT[, census2011_privateRent := `Tenure: Private rented; measures: Value`]
+sotonTenureDT[, census2011_ownerOccupy := `Tenure: Owned; measures: Value`]
+sotonTenureDT[, census2011_other := `Tenure: Living rent free; measures: Value`]
+sotonTenureDT[, MSOACode := `geography code`]
+
+sotonTenureDT[, hhCheck := census2011_socialRent + census2011_privateRent + census2011_ownerOccupy + census2011_other]
+sotonTenureDT[, nHHs_tenure := `Tenure: All households; measures: Value`]
+
+# summary(sotonTenureDT[, .(hhCheck, nHHs_tenure)])
+# might not quite match due to cell perturbation etc?
+
+# join em ----
+setkey(sotonDep_DT, MSOACode)
+setkey(sotonTenureDT, MSOACode)
+
+sotonCensus2011_DT <- sotonTenureDT[sotonDep_DT]
+
+t <- sotonCensus2011_DT[, .(sum_Deprivation = sum(nHHs_deprivation),
+                            sum_Tenure = sum(nHHs_tenure)), keyby = .(LAName)]
+kableExtra::kable(t, caption = "Census derived household counts")
+```
+
+That's lower (as expected) but doesn't allow for dwellings that were empty on census night.
+
+```{r, checkPostcodes}
+# Postcodes don't help - no count of addresses in the data (there used to be??)
+# but we can use it to check which Soton postcodes are missing from the EPC file
+soPostcodesDT <- data.table::fread(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Data/multi_csv/NSPL_AUG_2020_UK_SO.csv"))
+
+soPostcodesDT <- soPostcodesDT[is.na(doterm)] # keep current
+
+sotonPostcodesDT <- soPostcodesDT[laua == "E06000045"] # keep Southampton City
+
+sotonPostcodesReducedDT <- sotonPostcodesDT[, .(pcd, pcd2, pcds, laua, msoa11, lsoa11)]
+
+sotonPostcodesReducedDT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(pcds, 
+                                                                   split = " "
+                                                                   )
+                        ]
+sotonPostcodesReducedDT[, .(nEPCs = .N), keyby = .(pc_chunk1)]
+```
+We should not have single digit postcodes in the postcode data - i.e. S01 should not be there (since 1993). Southampton City is unusual in only having [double digit postcodes](https://en.wikipedia.org/wiki/SO_postcode_area).
+
+```{r, aggregateEPCsToPostcodes}
+# EPC
+# set up counters
+sotonUniqueEPCsDT[, epcIsSocialRent := ifelse(TENURE == "rental (social)", 1, 0)]
+sotonUniqueEPCsDT[, epcIsPrivateRent := ifelse(TENURE == "rental (private)", 1, 0)]
+sotonUniqueEPCsDT[, epcIsOwnerOcc := ifelse(TENURE == "owner-occupied", 1, 0)]
+sotonUniqueEPCsDT[, epcIsUnknownTenure := ifelse(TENURE == "NO DATA!" |
+                                          TENURE == "" , 1, 0)]
+# aggregate EPCs to postcodes
+sotonEpcPostcodes_DT <- sotonUniqueEPCsDT[, .(nEPCs = .N,
+                                              sumEPC_tCO2 = sum(CO2_EMISSIONS_CURRENT, na.rm = TRUE),
+                                     n_epcIsSocialRent = sum(epcIsSocialRent, na.rm = TRUE),
+                                     n_epcIsPrivateRent = sum(epcIsPrivateRent, na.rm = TRUE),
+                                     n_epcIsOwnerOcc = sum(epcIsOwnerOcc, na.rm = TRUE),
+                                     n_epcIsUnknownTenure = sum(epcIsUnknownTenure, na.rm = TRUE),
+                               sumEpcMWh = sum(ENERGY_CONSUMPTION_CURRENT* TOTAL_FLOOR_AREA)/1000), # crucial as ENERGY_CONSUMPTION_CURRENT = kWh/m2
+                           keyby = .(POSTCODE, LOCAL_AUTHORITY_LABEL)]
+
+sotonEpcPostcodes_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE, 
+                                                                   split = " "
+                                                                   )
+                        ]
+sotonEpcPostcodes_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]
+
+# check original EPC data for Soton - which postcodes are covered?
+allEPCs_DT[, c("pc_chunk1","pc_chunk2" ) := tstrsplit(POSTCODE, 
+                                                                   split = " "
+                                                                   )
+                        ]
+allEPCs_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]
+```
+It looks like we have EPCs for each postcode sector which is good.
+
+
+```{r, matchPostcodesToEPCPostcodes}
+# match the EPC postcode summaries to the postcode extract
+sotonPostcodesReducedDT[, POSTCODE_s := stringr::str_remove(pcds, " ")]
+setkey(sotonPostcodesReducedDT, POSTCODE_s)
+sotonPostcodesReducedDT[, MSOACode := msoa11]
+message("Number of postcodes: ",uniqueN(sotonPostcodesReducedDT$POSTCODE_s))
+
+sotonEpcPostcodes_DT[, POSTCODE_s := stringr::str_remove(POSTCODE, " ")]
+setkey(sotonEpcPostcodes_DT, POSTCODE_s)
+message("Number of postcodes with EPCs: ",uniqueN(sotonEpcPostcodes_DT$POSTCODE_s))
+
+dt <- sotonEpcPostcodes_DT[sotonPostcodesReducedDT]
+
+# aggregate to MSOA - watch for NAs where no EPCs in a given postcode
+sotonEpcMSOA_DT <- dt[, .(nEPCs = sum(nEPCs, na.rm = TRUE), 
+                          sumEPC_tCO2 = sum(sumEPC_tCO2, na.rm = TRUE),
+                                        n_epcIsSocialRent = sum(n_epcIsSocialRent, na.rm = TRUE),
+                                        n_epcIsPrivateRent = sum(n_epcIsPrivateRent, na.rm = TRUE),
+                                        n_epcIsOwnerOcc = sum(n_epcIsOwnerOcc, na.rm = TRUE),
+                                        n_epcIsUnknownTenure = sum(n_epcIsUnknownTenure, na.rm = TRUE),
+                                        sumEpcMWh = sum(sumEpcMWh, na.rm = TRUE)
+                                        ),
+                                    keyby = .(MSOACode) # change name on the fly for easier matching
+                                    ] 
+
+#summary(sotonEpcMSOA_DT)
+```
+
+So we have some postcodes with no EPCs.
+
+Join the estimates together at MSOA level for comparison. There are `r uniqueN(sotonElecDT$MSOACode)` MSOAs in Southampton.
+
+
+```{r, joinMSOA}
+# 32 LSOAs in Soton
+# add deprivation
+setkey(sotonEnergyDT, MSOACode)
+setkey(sotonCensus2011_DT, MSOACode)
+setkey(sotonEpcMSOA_DT, MSOACode)
+
+sotonMSOA_DT <- sotonCensus2011_DT[sotonEnergyDT]
+#names(sotonMSOA_DT)
+sotonMSOA_DT <- sotonEpcMSOA_DT[sotonMSOA_DT]
+#names(sotonMSOA_DT)
+
+# add MSOA names from the postcode LUT
+
+msoaNamesDT <- data.table::as.data.table(readxl::read_xlsx(path.expand("~/data/UK_postcodes/NSPL_AUG_2020_UK/Documents/MSOA (2011) names and codes UK as at 12_12.xlsx")))
+msoaNamesDT[, MSOACode := MSOA11CD]
+msoaNamesDT[, MSOAName := MSOA11NM]
+setkey(msoaNamesDT, MSOACode)
+
+sotonMSOA_DT <- msoaNamesDT[sotonMSOA_DT]
+
+#names(sotonMSOA_DT)
+```
+
+```{r, compareEpcEstimates}
+t <- sotonMSOA_DT[, .(nHouseholds_2011 = sum(nHHs_tenure),
+                      nElecMeters_2018 = sum(nElecMeters),
+                      nEPCs_2020 = sum(nEPCs),
+                      sumEPCMWh = sum(sumEpcMWh),
+                  sumBEISMWh = sum(beisEnergyMWh),
+                  sumEPC_tCO2 = sum(sumEPC_tCO2)
+                  )]
+
+kableExtra::kable(t, caption = "Comparison of different estimates of the number of dwellings and energy demand") %>%
+  kable_styling()
+
+nHouseholds_2011f <- sum(sotonMSOA_DT$nHHs_tenure)
+nElecMeters_2018f <- sum(sotonMSOA_DT$elecMeters)
+nEPCs_2020f <- sum(sotonMSOA_DT$nEPCs)
+
+makePC <- function(x,y,r){
+  # make a percent of x/y and round it to r decimal places
+  pc <- round(100*(x/y),r)
+  return(pc)
+}
+
+```
+
+We can see that the number of EPCs we have is:
+
+  * `r makePC(nEPCs_2020f,nHouseholds_2011f,1)`% of Census 2011 households
+  * `r makePC(nEPCs_2020f,nElecMeters_2018f,1)`% of the recorded 2018 electricity meters
+
+We can also see that despite having 'missing' EPCs, the estimated total EPC-derived energy demand is marginally higher than the BEIS-derived weather corrected energy demand data. Given that the BEIS data accounts for all heating, cooking, hot water, lighting and appliance use we would expect the EPC data to be lower _even if no EPCs were missing..._
+
+```{r, missingEPCbyMSOA, fig.cap="% 'missing' rates comparison"}
+
+sotonMSOA_DT[, dep0_pc := 100*(`Household Deprivation: Household is not deprived in any dimension; measures: Value`/nHHs_deprivation)]
+sotonMSOA_DT[, socRent_pc := 100*(census2011_socialRent/nHHs_tenure)]
+sotonMSOA_DT[, privRent_pc := 100*(census2011_privateRent/nHHs_tenure)]
+sotonMSOA_DT[, ownerOcc_pc := 100*(census2011_ownerOccupy/nHHs_tenure)]
+
+t <- sotonMSOA_DT[, .(MSOAName, MSOACode, nHHs_tenure,nElecMeters,nEPCs,
+                      dep0_pc, socRent_pc, privRent_pc, ownerOcc_pc,sumEpcMWh, beisEnergyMWh )]
+
+t[, pc_missingHH := makePC(nEPCs,nHHs_tenure,1)]
+t[, pc_missingMeters := makePC(nEPCs,nElecMeters,1)]
+t[, pc_energyBEIS := makePC(sumEpcMWh,beisEnergyMWh,1)]
+
+kableExtra::kable(t[order(-pc_missingHH)], digits = 2, caption = "EPC records as a % of n census households and n meters per MSOA") %>%
+  kable_styling()
+
+ggplot2::ggplot(t, aes(x = pc_missingHH, 
+                       y = pc_missingMeters,
+                       colour = round(ownerOcc_pc))) +
+  geom_abline(alpha = 0.2, slope=1, intercept=0) +
+  geom_point() +
+  scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
+  #theme(legend.position = "bottom") +
+  labs(x = "EPCs 2020 as % of Census 2011 households",
+       y = "EPCs 2020 as % of electricity meters 2018",
+       caption = "x = y line included for clarity")
+
+outlierMSOA <- t[pc_missingHH > 100]
+```
+Figure \@ref(tab:missingEPCbyMSOA) suggests that rates vary considerably by MSOA but are relatively consistent across the two baseline 'truth' estimates with the exception of `r outlierMSOA$MSOACode` which appears to have many more EPCs than Census 2011 households. It is worth noting that [this MSOA](https://www.localhealth.org.uk/#c=report&chapter=c01&report=r01&selgeo1=msoa_2011.E02003577&selgeo2=eng.E92000001) covers the city centre and dock areas which have had substantial new build since 2011 and so may have households inhabiting dwellings that did not exist at Census 2011. This is also supported by the considerably higher EPC derived energy demand data compared to BEIS's 2018 data - although it suggests the dwellings are either very new (since 2018) or are yet to be occupied.
+
+As we would expect those MSOAs with the lowest EPC coverage on both baseline measures tend to have higher proportions of owner occupiers. 
+
+We can use the same approach to compare estimates of total energy demand at the MSOA level. To do this we compare:
+
+ * estimated total energy demand in MWh/year derived from the EPC estimates. This energy only relates to `current primary energy` (space heating, hot water and lighting) and of course also suffers from missing EPCs (see above)
+ * observed electricity and gas demand collated by BEIS for their sub-national statistical series. This applies to all domestic energy demand but the most recent data is for 2018 so will suffer from the absence of dwellings that are present in the most recent EPC data (see above).
+
+We should therefore not expect the values to match but we might reasonably expect a correlation.
+ 
+```{r, energyMSOAPlot, fig.cap="Energy demand comparison"}
+ggplot2::ggplot(t, aes(x = sumEpcMWh, 
+                       y = beisEnergyMWh,
+                       colour = round(ownerOcc_pc))) +
+  geom_abline(alpha = 0.2, slope=1, intercept=0) +
+  geom_point() +
+  scale_color_continuous(name = "% owner occupiers \n(Census 2011)", high = "red", low = "green") +
+  #theme(legend.position = "bottom") +
+  labs(x = "EPC 2020 derived total MWh/year",
+       y = "BEIS 2018 derived total MWh/year",
+       caption = "x = y line included for clarity")
+
+outlier <- t[sumEpcMWh > 70000]
+```
+
+\@ref(fig:energyMSOAPlot) shows that both of these are true. MSOAs with a high proportion of owner occupiers (and therefore more likely to have missing EPCs) tend to have higher observed energy demand than the EOC data suggests - they are above the reference line. MSOAs with a lower proportion of owner occupiers (and therefore more likely to have more complete EPC coverage) tend to be on or below the line. As before we have the same notable outlier (`r outlier$MSOACode`) and for the same reasons... In this case this produces a much higher energy demand estimate than the BEIS 2018 data records
+
+## Check ENERGY_CONSUMPTION_CURRENT
+
+We recode the current energy consumption into categories for comparison with other low values and the presence of wind turbines/PV. We use -ve, 0 and 1 kWh as the thresholds of interest.
+
+
+```{r, checkEnergy, fig.cap="Histogram of ENERGY_CONSUMPTION_CURRENT"}
+
+ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = ENERGY_CONSUMPTION_CURRENT)) +
+  geom_histogram(binwidth = 5) + 
+  facet_wrap(~TENURE) +
+  geom_vline(xintercept = 0)
+
+underZero <- nrow(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0])
+
+t <- with(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT < 0],
+     table(BUILT_FORM,TENURE))
+
+
+kableExtra::kable(t, caption = "Properties with ENERGY_CONSUMPTION_CURRENT < 0")
+
+# do we think this is caused by solar/wind?
+sotonUniqueEPCsDT[, hasWind := ifelse(WIND_TURBINE_COUNT > 0, "Yes", "No")]
+#table(sotonUniqueEPCsDT$hasWind)
+sotonUniqueEPCsDT[, hasPV := ifelse(PHOTO_SUPPLY >0, "Yes", "No")]
+#table(sotonUniqueEPCsDT$hasPV)
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT < 0, "-ve kWh/y", NA)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT == 0, "0 kWh/y", consFlag)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 0 & 
+                                     ENERGY_CONSUMPTION_CURRENT <= 1, "0-1 kWh/y", consFlag)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT > 1, "1+ kWh/y", consFlag)]
+
+t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(consFlag, hasWind, hasPV)]
+
+kableExtra::kable(t, caption = "Properties in ENERGY_CONSUMPTION_CURRENT category by presence of microgeneration")
+
+```
+
+There are only `r underZero` dwellings where ENERGY_CONSUMPTION_CURRENT < 0 and none of them seem to have PV or a wind turbine so we can probably ignore them.
+
+```{r, energyTenure, fig.cap="Comparing distributions of ENERGY_CONSUMPTION_CURRENT by tenure and built form"}
+# repeat with a density plot to allow easy overlap 
+# exclude those with no data
+ggplot2::ggplot(sotonUniqueEPCsDT[TENURE != "NO DATA!" &
+                           TENURE != "unknown" &
+                           TENURE != ""], aes(x = ENERGY_CONSUMPTION_CURRENT, 
+                                              fill = TENURE, alpha = 0.2)) +
+  geom_density() +
+  facet_wrap(~BUILT_FORM) +
+  guides(alpha = FALSE) +
+  theme(legend.position = "bottom")
+```
+
+## Check CO2_EMISSIONS_CURRENT
+
+Next we do the same for current emissions. Repeat the coding for total floor area using 0 and 1 TCO2/y as the threshold of interest.
+
+
+```{r, checkEmissions, fig.cap="Histogram of CO2_EMISSIONS_CURRENT"}
+ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = CO2_EMISSIONS_CURRENT)) +
+  geom_histogram(binwidth = 1)
+
+nZeroEmissions <- nrow(sotonUniqueEPCsDT[CO2_EMISSIONS_CURRENT < 0])
+
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT < 0, "-ve CO2/y", NA)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT == 0, "0 CO2/y", emissionsFlag)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 0 & 
+                                     CO2_EMISSIONS_CURRENT <= 1, "0-1 TCO2/y", emissionsFlag)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT > 1, "1+ TCO2/y", emissionsFlag)]
+
+t <- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(emissionsFlag, hasWind, hasPV)]
+
+kableExtra::kable(t, caption = "Properties with CO2_EMISSIONS_CURRENT < 0 by presence of microgeneration")
+
+kableExtra::kable(round(100*(prop.table(table(sotonUniqueEPCsDT$emissionsFlag, 
+                                              sotonUniqueEPCsDT$consFlag, 
+                                              useNA = "always")
+                                        )
+                             )
+                        ,2)
+                  , caption = "% properties in CO2_EMISSIONS_CURRENT categories by ENERGY_CONSUMPTION_CURRENT categories")
+
+```
+
+There are `r nZeroEmissions` properties with 0 or negative emissions. It looks like they are also the properties with -ve kWh as we might expect. So we can safely ignore them.
+
+## Check ENVIRONMENT_IMPACT_CURRENT
+
+`Environmental impact` should decrease as emissions increase.
+
+```{r, checkImpact, fig.cap="Histogram of ENVIRONMENT_IMPACT_CURRENT"}
+ggplot2::ggplot(allEPCs_DT, aes(x = ENVIRONMENT_IMPACT_CURRENT)) +
+  geom_histogram()
+```
+
+So what is the relationship between ENVIRONMENT_IMPACT_CURRENT and CO2_EMISSIONS_CURRENT? It is not linear... (Figure \@ref(fig:checkEmissionsImpact)) and there are some interesting outliers.
+
+```{r, checkEmissionsImpact, fig.cap="PLot of ENVIRONMENT_IMPACT_CURRENT vs CO2_EMISSIONS_CURRENT"}
+
+ggplot2::ggplot(allEPCs_DT, aes(x = CO2_EMISSIONS_CURRENT, 
+                           y = ENVIRONMENT_IMPACT_CURRENT,
+                           colour = TENURE)) +
+  geom_point() +
+  facet_wrap(TENURE~.) +
+  theme(legend.position = "bottom")
+```
+
+## Check TOTAL_FLOOR_AREA
+
+Repeat the coding for total floor area using 5 m2 as the threshold of interest.
+
+```{r, checkFloorArea, fig.cap="Histogram of TOTAL_FLOOR_AREA"}
+ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = TOTAL_FLOOR_AREA)) +
+  geom_histogram(binwidth = 1)
+
+nZeroFloorArea <- nrow(sotonUniqueEPCsDT[TOTAL_FLOOR_AREA < 0])
+
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA == 0, "0 m2", NA)]
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 0 & 
+                                     TOTAL_FLOOR_AREA <= 10, "0-5 m2", floorFlag)]
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA > 10, "5+ m2", floorFlag)]
+
+t <- with(sotonUniqueEPCsDT, table(floorFlag, consFlag))
+
+kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")
+
+kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA, 
+                                    ENERGY_CONSUMPTION_CURRENT)][order(-TOTAL_FLOOR_AREA)], 10), 
+                  caption = "Top 10 by floor area (largest)")
+
+kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
+                                    ENERGY_CONSUMPTION_CURRENT)][order(TOTAL_FLOOR_AREA)], 10), 
+                  caption = "Bottom 10 by floor area (smallest)")
+
+kableExtra::kable(round(100*prop.table(t),2), caption = "% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category")
+
+```
+
+\@ref(tab:checkEmissions) shows that the properties with floor area of < 10m2 are not necessarily the ones with 0 or negative kWh values. Nevertheless they represent a small proportion of all properties.
+
+The scale of the x axis also suggests a few very large properties.
+
+## Data summary
+
+We have identified some issues with a small number of the properties in the EPC dataset. These are not unexpected given that much of the estimates rely on partial or presumed data. Data entry errors are also quite likely. As a result we exclude:
+
+ * any property where ENERGY_CONSUMPTION_CURRENT <= 0
+ * any property where TOTAL_FLOOR_AREA <= 5
+ * any property where CO2_EMISSIONS_CURRENT <= 0
+
+```{r, finalData}
+finalDT <- sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT > 0 &
+                      TOTAL_FLOOR_AREA > 5 &
+                      CO2_EMISSIONS_CURRENT > 0]
+
+skimr::skim(finalDT)
+```
+
+This leaves us with a total of `r prettyNum(nrow(finalDT), big.mark = ",")` properties.
+
+```{r, saveFinalData}
+of <- path.expand("~/data/EW_epc/domestic-E06000045-Southampton/finalClean.csv")
+data.table::fwrite(finalDT, file = of)
+
+message("Gziping ", of)
+# Gzip it
+# in case it fails (it will on windows - you will be left with a .csv file)
+try(system( paste0("gzip -f '", of,"'"))) # include ' or it breaks on spaces
+message("Gzipped ", of)
+
+```
+
+ 
+# R packages used
+
+ * rmarkdown [@rmarkdown]
+ * bookdown [@bookdown]
+ * knitr [@knitr]
+ * data.table [@data.table]
+ * ggplot2 [@ggplot2]
+ * kableExtra [@kableExtra]
+ * readxl [@readxl]
+ 
+# References
diff --git a/EPCsAndCarbon/makeFile.R b/EPCsAndCarbon/makeFile.R
index 697f9e3..64f3bb1 100644
--- a/EPCsAndCarbon/makeFile.R
+++ b/EPCsAndCarbon/makeFile.R
@@ -17,9 +17,9 @@ makeReport <- function(f){
 }
 
 # >> run report ----
-rmdFile <- "carbonCosts" # not the full path
-title = "What can EPC data tell us about the domestic cost of carbon?"
-subtitle = ""
+rmdFile <- "epcChecks" # not the full path
+title = "Checking EPC datasets for Southampton"
+subtitle = "Data cleaning, outlier checks and coverage analysis"
 authors = "Ben Anderson"
 
 makeReport(rmdFile)
\ No newline at end of file
diff --git a/docs/epcChecks.docx b/docs/epcChecks.docx
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diff --git a/docs/epcChecks.html b/docs/epcChecks.html
new file mode 100644
index 0000000..d8adad1
--- /dev/null
+++ b/docs/epcChecks.html
@@ -0,0 +1,6809 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+
+<meta name="author" content="Ben Anderson" />
+
+
+<title>Checking EPC datasets for Southampton</title>
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) 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e("body").append(s),t=a.offsetWidth,s.css("overflow","scroll"),i=a.offsetWidth,t===i&&(i=s[0].clientWidth),s.remove(),n=t-i},getScrollInfo:function(t){var i=t.isWindow||t.isDocument?"":t.element.css("overflow-x"),s=t.isWindow||t.isDocument?"":t.element.css("overflow-y"),n="scroll"===i||"auto"===i&&t.width<t.element[0].scrollWidth,a="scroll"===s||"auto"===s&&t.height<t.element[0].scrollHeight;return{width:a?e.position.scrollbarWidth():0,height:n?e.position.scrollbarWidth():0}},getWithinInfo:function(t){var i=e(t||window),s=e.isWindow(i[0]),n=!!i[0]&&9===i[0].nodeType;return{element:i,isWindow:s,isDocument:n,offset:i.offset()||{left:0,top:0},scrollLeft:i.scrollLeft(),scrollTop:i.scrollTop(),width:s||n?i.width():i.outerWidth(),height:s||n?i.height():i.outerHeight()}}},e.fn.position=function(n){if(!n||!n.of)return f.apply(this,arguments);n=e.extend({},n);var p,m,g,v,y,b,_=e(n.of),x=e.position.getWithinInfo(n.within),w=e.position.getScrollInfo(x),k=(n.collision||"flip").split(" "),T={};return b=s(_),_[0].preventDefault&&(n.at="left top"),m=b.width,g=b.height,v=b.offset,y=e.extend({},v),e.each(["my","at"],function(){var e,t,i=(n[this]||"").split(" ");1===i.length&&(i=l.test(i[0])?i.concat(["center"]):u.test(i[0])?["center"].concat(i):["center","center"]),i[0]=l.test(i[0])?i[0]:"center",i[1]=u.test(i[1])?i[1]:"center",e=d.exec(i[0]),t=d.exec(i[1]),T[this]=[e?e[0]:0,t?t[0]:0],n[this]=[c.exec(i[0])[0],c.exec(i[1])[0]]}),1===k.length&&(k[1]=k[0]),"right"===n.at[0]?y.left+=m:"center"===n.at[0]&&(y.left+=m/2),"bottom"===n.at[1]?y.top+=g:"center"===n.at[1]&&(y.top+=g/2),p=t(T.at,m,g),y.left+=p[0],y.top+=p[1],this.each(function(){var s,l,u=e(this),d=u.outerWidth(),c=u.outerHeight(),f=i(this,"marginLeft"),b=i(this,"marginTop"),D=d+f+i(this,"marginRight")+w.width,S=c+b+i(this,"marginBottom")+w.height,N=e.extend({},y),M=t(T.my,u.outerWidth(),u.outerHeight());"right"===n.my[0]?N.left-=d:"center"===n.my[0]&&(N.left-=d/2),"bottom"===n.my[1]?N.top-=c:"center"===n.my[1]&&(N.top-=c/2),N.left+=M[0],N.top+=M[1],a||(N.left=h(N.left),N.top=h(N.top)),s={marginLeft:f,marginTop:b},e.each(["left","top"],function(t,i){e.ui.position[k[t]]&&e.ui.position[k[t]][i](N,{targetWidth:m,targetHeight:g,elemWidth:d,elemHeight:c,collisionPosition:s,collisionWidth:D,collisionHeight:S,offset:[p[0]+M[0],p[1]+M[1]],my:n.my,at:n.at,within:x,elem:u})}),n.using&&(l=function(e){var t=v.left-N.left,i=t+m-d,s=v.top-N.top,a=s+g-c,h={target:{element:_,left:v.left,top:v.top,width:m,height:g},element:{element:u,left:N.left,top:N.top,width:d,height:c},horizontal:0>i?"left":t>0?"right":"center",vertical:0>a?"top":s>0?"bottom":"middle"};d>m&&m>r(t+i)&&(h.horizontal="center"),c>g&&g>r(s+a)&&(h.vertical="middle"),h.important=o(r(t),r(i))>o(r(s),r(a))?"horizontal":"vertical",n.using.call(this,e,h)}),u.offset(e.extend(N,{using:l}))})},e.ui.position={fit:{left:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollLeft:s.offset.left,a=s.width,r=e.left-t.collisionPosition.marginLeft,h=n-r,l=r+t.collisionWidth-a-n;t.collisionWidth>a?h>0&&0>=l?(i=e.left+h+t.collisionWidth-a-n,e.left+=h-i):e.left=l>0&&0>=h?n:h>l?n+a-t.collisionWidth:n:h>0?e.left+=h:l>0?e.left-=l:e.left=o(e.left-r,e.left)},top:function(e,t){var i,s=t.within,n=s.isWindow?s.scrollTop:s.offset.top,a=t.within.height,r=e.top-t.collisionPosition.marginTop,h=n-r,l=r+t.collisionHeight-a-n;t.collisionHeight>a?h>0&&0>=l?(i=e.top+h+t.collisionHeight-a-n,e.top+=h-i):e.top=l>0&&0>=h?n:h>l?n+a-t.collisionHeight:n:h>0?e.top+=h:l>0?e.top-=l:e.top=o(e.top-r,e.top)}},flip:{left:function(e,t){var i,s,n=t.within,a=n.offset.left+n.scrollLeft,o=n.width,h=n.isWindow?n.scrollLeft:n.offset.left,l=e.left-t.collisionPosition.marginLeft,u=l-h,d=l+t.collisionWidth-o-h,c="left"===t.my[0]?-t.elemWidth:"right"===t.my[0]?t.elemWidth:0,p="left"===t.at[0]?t.targetWidth:"right"===t.at[0]?-t.targetWidth:0,f=-2*t.offset[0];0>u?(i=e.left+c+p+f+t.collisionWidth-o-a,(0>i||r(u)>i)&&(e.left+=c+p+f)):d>0&&(s=e.left-t.collisionPosition.marginLeft+c+p+f-h,(s>0||d>r(s))&&(e.left+=c+p+f))},top:function(e,t){var i,s,n=t.within,a=n.offset.top+n.scrollTop,o=n.height,h=n.isWindow?n.scrollTop:n.offset.top,l=e.top-t.collisionPosition.marginTop,u=l-h,d=l+t.collisionHeight-o-h,c="top"===t.my[1],p=c?-t.elemHeight:"bottom"===t.my[1]?t.elemHeight:0,f="top"===t.at[1]?t.targetHeight:"bottom"===t.at[1]?-t.targetHeight:0,m=-2*t.offset[1];0>u?(s=e.top+p+f+m+t.collisionHeight-o-a,(0>s||r(u)>s)&&(e.top+=p+f+m)):d>0&&(i=e.top-t.collisionPosition.marginTop+p+f+m-h,(i>0||d>r(i))&&(e.top+=p+f+m))}},flipfit:{left:function(){e.ui.position.flip.left.apply(this,arguments),e.ui.position.fit.left.apply(this,arguments)},top:function(){e.ui.position.flip.top.apply(this,arguments),e.ui.position.fit.top.apply(this,arguments)}}},function(){var t,i,s,n,o,r=document.getElementsByTagName("body")[0],h=document.createElement("div");t=document.createElement(r?"div":"body"),s={visibility:"hidden",width:0,height:0,border:0,margin:0,background:"none"},r&&e.extend(s,{position:"absolute",left:"-1000px",top:"-1000px"});for(o in s)t.style[o]=s[o];t.appendChild(h),i=r||document.documentElement,i.insertBefore(t,i.firstChild),h.style.cssText="position: absolute; left: 10.7432222px;",n=e(h).offset().left,a=n>10&&11>n,t.innerHTML="",i.removeChild(t)}()}(),e.ui.position,e.widget("ui.draggable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"drag",options:{addClasses:!0,appendTo:"parent",axis:!1,connectToSortable:!1,containment:!1,cursor:"auto",cursorAt:!1,grid:!1,handle:!1,helper:"original",iframeFix:!1,opacity:!1,refreshPositions:!1,revert:!1,revertDuration:500,scope:"default",scroll:!0,scrollSensitivity:20,scrollSpeed:20,snap:!1,snapMode:"both",snapTolerance:20,stack:!1,zIndex:!1,drag:null,start:null,stop:null},_create:function(){"original"===this.options.helper&&this._setPositionRelative(),this.options.addClasses&&this.element.addClass("ui-draggable"),this.options.disabled&&this.element.addClass("ui-draggable-disabled"),this._setHandleClassName(),this._mouseInit()},_setOption:function(e,t){this._super(e,t),"handle"===e&&(this._removeHandleClassName(),this._setHandleClassName())},_destroy:function(){return(this.helper||this.element).is(".ui-draggable-dragging")?(this.destroyOnClear=!0,void 0):(this.element.removeClass("ui-draggable ui-draggable-dragging ui-draggable-disabled"),this._removeHandleClassName(),this._mouseDestroy(),void 0)},_mouseCapture:function(t){var i=this.options;return this._blurActiveElement(t),this.helper||i.disabled||e(t.target).closest(".ui-resizable-handle").length>0?!1:(this.handle=this._getHandle(t),this.handle?(this._blockFrames(i.iframeFix===!0?"iframe":i.iframeFix),!0):!1)},_blockFrames:function(t){this.iframeBlocks=this.document.find(t).map(function(){var t=e(this);return e("<div>").css("position","absolute").appendTo(t.parent()).outerWidth(t.outerWidth()).outerHeight(t.outerHeight()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_blurActiveElement:function(t){var i=this.document[0];if(this.handleElement.is(t.target))try{i.activeElement&&"body"!==i.activeElement.nodeName.toLowerCase()&&e(i.activeElement).blur()}catch(s){}},_mouseStart:function(t){var i=this.options;return this.helper=this._createHelper(t),this.helper.addClass("ui-draggable-dragging"),this._cacheHelperProportions(),e.ui.ddmanager&&(e.ui.ddmanager.current=this),this._cacheMargins(),this.cssPosition=this.helper.css("position"),this.scrollParent=this.helper.scrollParent(!0),this.offsetParent=this.helper.offsetParent(),this.hasFixedAncestor=this.helper.parents().filter(function(){return"fixed"===e(this).css("position")}).length>0,this.positionAbs=this.element.offset(),this._refreshOffsets(t),this.originalPosition=this.position=this._generatePosition(t,!1),this.originalPageX=t.pageX,this.originalPageY=t.pageY,i.cursorAt&&this._adjustOffsetFromHelper(i.cursorAt),this._setContainment(),this._trigger("start",t)===!1?(this._clear(),!1):(this._cacheHelperProportions(),e.ui.ddmanager&&!i.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this._normalizeRightBottom(),this._mouseDrag(t,!0),e.ui.ddmanager&&e.ui.ddmanager.dragStart(this,t),!0)},_refreshOffsets:function(e){this.offset={top:this.positionAbs.top-this.margins.top,left:this.positionAbs.left-this.margins.left,scroll:!1,parent:this._getParentOffset(),relative:this._getRelativeOffset()},this.offset.click={left:e.pageX-this.offset.left,top:e.pageY-this.offset.top}},_mouseDrag:function(t,i){if(this.hasFixedAncestor&&(this.offset.parent=this._getParentOffset()),this.position=this._generatePosition(t,!0),this.positionAbs=this._convertPositionTo("absolute"),!i){var s=this._uiHash();if(this._trigger("drag",t,s)===!1)return this._mouseUp({}),!1;this.position=s.position}return this.helper[0].style.left=this.position.left+"px",this.helper[0].style.top=this.position.top+"px",e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),!1},_mouseStop:function(t){var i=this,s=!1;return e.ui.ddmanager&&!this.options.dropBehaviour&&(s=e.ui.ddmanager.drop(this,t)),this.dropped&&(s=this.dropped,this.dropped=!1),"invalid"===this.options.revert&&!s||"valid"===this.options.revert&&s||this.options.revert===!0||e.isFunction(this.options.revert)&&this.options.revert.call(this.element,s)?e(this.helper).animate(this.originalPosition,parseInt(this.options.revertDuration,10),function(){i._trigger("stop",t)!==!1&&i._clear()}):this._trigger("stop",t)!==!1&&this._clear(),!1},_mouseUp:function(t){return this._unblockFrames(),e.ui.ddmanager&&e.ui.ddmanager.dragStop(this,t),this.handleElement.is(t.target)&&this.element.focus(),e.ui.mouse.prototype._mouseUp.call(this,t)},cancel:function(){return this.helper.is(".ui-draggable-dragging")?this._mouseUp({}):this._clear(),this},_getHandle:function(t){return this.options.handle?!!e(t.target).closest(this.element.find(this.options.handle)).length:!0},_setHandleClassName:function(){this.handleElement=this.options.handle?this.element.find(this.options.handle):this.element,this.handleElement.addClass("ui-draggable-handle")},_removeHandleClassName:function(){this.handleElement.removeClass("ui-draggable-handle")},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper),n=s?e(i.helper.apply(this.element[0],[t])):"clone"===i.helper?this.element.clone().removeAttr("id"):this.element;return n.parents("body").length||n.appendTo("parent"===i.appendTo?this.element[0].parentNode:i.appendTo),s&&n[0]===this.element[0]&&this._setPositionRelative(),n[0]===this.element[0]||/(fixed|absolute)/.test(n.css("position"))||n.css("position","absolute"),n},_setPositionRelative:function(){/^(?:r|a|f)/.test(this.element.css("position"))||(this.element[0].style.position="relative")},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_isRootNode:function(e){return/(html|body)/i.test(e.tagName)||e===this.document[0]},_getParentOffset:function(){var t=this.offsetParent.offset(),i=this.document[0];return"absolute"===this.cssPosition&&this.scrollParent[0]!==i&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),this._isRootNode(this.offsetParent[0])&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var e=this.element.position(),t=this._isRootNode(this.scrollParent[0]);return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+(t?0:this.scrollParent.scrollTop()),left:e.left-(parseInt(this.helper.css("left"),10)||0)+(t?0:this.scrollParent.scrollLeft())}},_cacheMargins:function(){this.margins={left:parseInt(this.element.css("marginLeft"),10)||0,top:parseInt(this.element.css("marginTop"),10)||0,right:parseInt(this.element.css("marginRight"),10)||0,bottom:parseInt(this.element.css("marginBottom"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options,a=this.document[0];return this.relativeContainer=null,n.containment?"window"===n.containment?(this.containment=[e(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,e(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,e(window).scrollLeft()+e(window).width()-this.helperProportions.width-this.margins.left,e(window).scrollTop()+(e(window).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):"document"===n.containment?(this.containment=[0,0,e(a).width()-this.helperProportions.width-this.margins.left,(e(a).height()||a.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top],void 0):n.containment.constructor===Array?(this.containment=n.containment,void 0):("parent"===n.containment&&(n.containment=this.helper[0].parentNode),i=e(n.containment),s=i[0],s&&(t=/(scroll|auto)/.test(i.css("overflow")),this.containment=[(parseInt(i.css("borderLeftWidth"),10)||0)+(parseInt(i.css("paddingLeft"),10)||0),(parseInt(i.css("borderTopWidth"),10)||0)+(parseInt(i.css("paddingTop"),10)||0),(t?Math.max(s.scrollWidth,s.offsetWidth):s.offsetWidth)-(parseInt(i.css("borderRightWidth"),10)||0)-(parseInt(i.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(s.scrollHeight,s.offsetHeight):s.offsetHeight)-(parseInt(i.css("borderBottomWidth"),10)||0)-(parseInt(i.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=i),void 0):(this.containment=null,void 0)},_convertPositionTo:function(e,t){t||(t=this.position);var i="absolute"===e?1:-1,s=this._isRootNode(this.scrollParent[0]);return{top:t.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:s?0:this.offset.scroll.top)*i,left:t.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:s?0:this.offset.scroll.left)*i}},_generatePosition:function(e,t){var i,s,n,a,o=this.options,r=this._isRootNode(this.scrollParent[0]),h=e.pageX,l=e.pageY;return r&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),t&&(this.containment&&(this.relativeContainer?(s=this.relativeContainer.offset(),i=[this.containment[0]+s.left,this.containment[1]+s.top,this.containment[2]+s.left,this.containment[3]+s.top]):i=this.containment,e.pageX-this.offset.click.left<i[0]&&(h=i[0]+this.offset.click.left),e.pageY-this.offset.click.top<i[1]&&(l=i[1]+this.offset.click.top),e.pageX-this.offset.click.left>i[2]&&(h=i[2]+this.offset.click.left),e.pageY-this.offset.click.top>i[3]&&(l=i[3]+this.offset.click.top)),o.grid&&(n=o.grid[1]?this.originalPageY+Math.round((l-this.originalPageY)/o.grid[1])*o.grid[1]:this.originalPageY,l=i?n-this.offset.click.top>=i[1]||n-this.offset.click.top>i[3]?n:n-this.offset.click.top>=i[1]?n-o.grid[1]:n+o.grid[1]:n,a=o.grid[0]?this.originalPageX+Math.round((h-this.originalPageX)/o.grid[0])*o.grid[0]:this.originalPageX,h=i?a-this.offset.click.left>=i[0]||a-this.offset.click.left>i[2]?a:a-this.offset.click.left>=i[0]?a-o.grid[0]:a+o.grid[0]:a),"y"===o.axis&&(h=this.originalPageX),"x"===o.axis&&(l=this.originalPageY)),{top:l-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:r?0:this.offset.scroll.top),left:h-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:r?0:this.offset.scroll.left)}},_clear:function(){this.helper.removeClass("ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_normalizeRightBottom:function(){"y"!==this.options.axis&&"auto"!==this.helper.css("right")&&(this.helper.width(this.helper.width()),this.helper.css("right","auto")),"x"!==this.options.axis&&"auto"!==this.helper.css("bottom")&&(this.helper.height(this.helper.height()),this.helper.css("bottom","auto"))},_trigger:function(t,i,s){return s=s||this._uiHash(),e.ui.plugin.call(this,t,[i,s,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),s.offset=this.positionAbs),e.Widget.prototype._trigger.call(this,t,i,s)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),e.ui.plugin.add("draggable","connectToSortable",{start:function(t,i,s){var n=e.extend({},i,{item:s.element});s.sortables=[],e(s.options.connectToSortable).each(function(){var i=e(this).sortable("instance");i&&!i.options.disabled&&(s.sortables.push(i),i.refreshPositions(),i._trigger("activate",t,n))})},stop:function(t,i,s){var n=e.extend({},i,{item:s.element});s.cancelHelperRemoval=!1,e.each(s.sortables,function(){var e=this;e.isOver?(e.isOver=0,s.cancelHelperRemoval=!0,e.cancelHelperRemoval=!1,e._storedCSS={position:e.placeholder.css("position"),top:e.placeholder.css("top"),left:e.placeholder.css("left")},e._mouseStop(t),e.options.helper=e.options._helper):(e.cancelHelperRemoval=!0,e._trigger("deactivate",t,n))})},drag:function(t,i,s){e.each(s.sortables,function(){var n=!1,a=this;a.positionAbs=s.positionAbs,a.helperProportions=s.helperProportions,a.offset.click=s.offset.click,a._intersectsWith(a.containerCache)&&(n=!0,e.each(s.sortables,function(){return this.positionAbs=s.positionAbs,this.helperProportions=s.helperProportions,this.offset.click=s.offset.click,this!==a&&this._intersectsWith(this.containerCache)&&e.contains(a.element[0],this.element[0])&&(n=!1),n
+})),n?(a.isOver||(a.isOver=1,s._parent=i.helper.parent(),a.currentItem=i.helper.appendTo(a.element).data("ui-sortable-item",!0),a.options._helper=a.options.helper,a.options.helper=function(){return i.helper[0]},t.target=a.currentItem[0],a._mouseCapture(t,!0),a._mouseStart(t,!0,!0),a.offset.click.top=s.offset.click.top,a.offset.click.left=s.offset.click.left,a.offset.parent.left-=s.offset.parent.left-a.offset.parent.left,a.offset.parent.top-=s.offset.parent.top-a.offset.parent.top,s._trigger("toSortable",t),s.dropped=a.element,e.each(s.sortables,function(){this.refreshPositions()}),s.currentItem=s.element,a.fromOutside=s),a.currentItem&&(a._mouseDrag(t),i.position=a.position)):a.isOver&&(a.isOver=0,a.cancelHelperRemoval=!0,a.options._revert=a.options.revert,a.options.revert=!1,a._trigger("out",t,a._uiHash(a)),a._mouseStop(t,!0),a.options.revert=a.options._revert,a.options.helper=a.options._helper,a.placeholder&&a.placeholder.remove(),i.helper.appendTo(s._parent),s._refreshOffsets(t),i.position=s._generatePosition(t,!0),s._trigger("fromSortable",t),s.dropped=!1,e.each(s.sortables,function(){this.refreshPositions()}))})}}),e.ui.plugin.add("draggable","cursor",{start:function(t,i,s){var n=e("body"),a=s.options;n.css("cursor")&&(a._cursor=n.css("cursor")),n.css("cursor",a.cursor)},stop:function(t,i,s){var n=s.options;n._cursor&&e("body").css("cursor",n._cursor)}}),e.ui.plugin.add("draggable","opacity",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("opacity")&&(a._opacity=n.css("opacity")),n.css("opacity",a.opacity)},stop:function(t,i,s){var n=s.options;n._opacity&&e(i.helper).css("opacity",n._opacity)}}),e.ui.plugin.add("draggable","scroll",{start:function(e,t,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,i,s){var n=s.options,a=!1,o=s.scrollParentNotHidden[0],r=s.document[0];o!==r&&"HTML"!==o.tagName?(n.axis&&"x"===n.axis||(s.overflowOffset.top+o.offsetHeight-t.pageY<n.scrollSensitivity?o.scrollTop=a=o.scrollTop+n.scrollSpeed:t.pageY-s.overflowOffset.top<n.scrollSensitivity&&(o.scrollTop=a=o.scrollTop-n.scrollSpeed)),n.axis&&"y"===n.axis||(s.overflowOffset.left+o.offsetWidth-t.pageX<n.scrollSensitivity?o.scrollLeft=a=o.scrollLeft+n.scrollSpeed:t.pageX-s.overflowOffset.left<n.scrollSensitivity&&(o.scrollLeft=a=o.scrollLeft-n.scrollSpeed))):(n.axis&&"x"===n.axis||(t.pageY-e(r).scrollTop()<n.scrollSensitivity?a=e(r).scrollTop(e(r).scrollTop()-n.scrollSpeed):e(window).height()-(t.pageY-e(r).scrollTop())<n.scrollSensitivity&&(a=e(r).scrollTop(e(r).scrollTop()+n.scrollSpeed))),n.axis&&"y"===n.axis||(t.pageX-e(r).scrollLeft()<n.scrollSensitivity?a=e(r).scrollLeft(e(r).scrollLeft()-n.scrollSpeed):e(window).width()-(t.pageX-e(r).scrollLeft())<n.scrollSensitivity&&(a=e(r).scrollLeft(e(r).scrollLeft()+n.scrollSpeed)))),a!==!1&&e.ui.ddmanager&&!n.dropBehaviour&&e.ui.ddmanager.prepareOffsets(s,t)}}),e.ui.plugin.add("draggable","snap",{start:function(t,i,s){var n=s.options;s.snapElements=[],e(n.snap.constructor!==String?n.snap.items||":data(ui-draggable)":n.snap).each(function(){var t=e(this),i=t.offset();this!==s.element[0]&&s.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:i.top,left:i.left})})},drag:function(t,i,s){var n,a,o,r,h,l,u,d,c,p,f=s.options,m=f.snapTolerance,g=i.offset.left,v=g+s.helperProportions.width,y=i.offset.top,b=y+s.helperProportions.height;for(c=s.snapElements.length-1;c>=0;c--)h=s.snapElements[c].left-s.margins.left,l=h+s.snapElements[c].width,u=s.snapElements[c].top-s.margins.top,d=u+s.snapElements[c].height,h-m>v||g>l+m||u-m>b||y>d+m||!e.contains(s.snapElements[c].item.ownerDocument,s.snapElements[c].item)?(s.snapElements[c].snapping&&s.options.snap.release&&s.options.snap.release.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=!1):("inner"!==f.snapMode&&(n=m>=Math.abs(u-b),a=m>=Math.abs(d-y),o=m>=Math.abs(h-v),r=m>=Math.abs(l-g),n&&(i.position.top=s._convertPositionTo("relative",{top:u-s.helperProportions.height,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h-s.helperProportions.width}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l}).left)),p=n||a||o||r,"outer"!==f.snapMode&&(n=m>=Math.abs(u-y),a=m>=Math.abs(d-b),o=m>=Math.abs(h-g),r=m>=Math.abs(l-v),n&&(i.position.top=s._convertPositionTo("relative",{top:u,left:0}).top),a&&(i.position.top=s._convertPositionTo("relative",{top:d-s.helperProportions.height,left:0}).top),o&&(i.position.left=s._convertPositionTo("relative",{top:0,left:h}).left),r&&(i.position.left=s._convertPositionTo("relative",{top:0,left:l-s.helperProportions.width}).left)),!s.snapElements[c].snapping&&(n||a||o||r||p)&&s.options.snap.snap&&s.options.snap.snap.call(s.element,t,e.extend(s._uiHash(),{snapItem:s.snapElements[c].item})),s.snapElements[c].snapping=n||a||o||r||p)}}),e.ui.plugin.add("draggable","stack",{start:function(t,i,s){var n,a=s.options,o=e.makeArray(e(a.stack)).sort(function(t,i){return(parseInt(e(t).css("zIndex"),10)||0)-(parseInt(e(i).css("zIndex"),10)||0)});o.length&&(n=parseInt(e(o[0]).css("zIndex"),10)||0,e(o).each(function(t){e(this).css("zIndex",n+t)}),this.css("zIndex",n+o.length))}}),e.ui.plugin.add("draggable","zIndex",{start:function(t,i,s){var n=e(i.helper),a=s.options;n.css("zIndex")&&(a._zIndex=n.css("zIndex")),n.css("zIndex",a.zIndex)},stop:function(t,i,s){var n=s.options;n._zIndex&&e(i.helper).css("zIndex",n._zIndex)}}),e.ui.draggable,e.widget("ui.droppable",{version:"1.11.4",widgetEventPrefix:"drop",options:{accept:"*",activeClass:!1,addClasses:!0,greedy:!1,hoverClass:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,i=this.options,s=i.accept;this.isover=!1,this.isout=!0,this.accept=e.isFunction(s)?s:function(e){return e.is(s)},this.proportions=function(){return arguments.length?(t=arguments[0],void 0):t?t:t={width:this.element[0].offsetWidth,height:this.element[0].offsetHeight}},this._addToManager(i.scope),i.addClasses&&this.element.addClass("ui-droppable")},_addToManager:function(t){e.ui.ddmanager.droppables[t]=e.ui.ddmanager.droppables[t]||[],e.ui.ddmanager.droppables[t].push(this)},_splice:function(e){for(var t=0;e.length>t;t++)e[t]===this&&e.splice(t,1)},_destroy:function(){var t=e.ui.ddmanager.droppables[this.options.scope];this._splice(t),this.element.removeClass("ui-droppable ui-droppable-disabled")},_setOption:function(t,i){if("accept"===t)this.accept=e.isFunction(i)?i:function(e){return e.is(i)};else if("scope"===t){var s=e.ui.ddmanager.droppables[this.options.scope];this._splice(s),this._addToManager(i)}this._super(t,i)},_activate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.addClass(this.options.activeClass),i&&this._trigger("activate",t,this.ui(i))},_deactivate:function(t){var i=e.ui.ddmanager.current;this.options.activeClass&&this.element.removeClass(this.options.activeClass),i&&this._trigger("deactivate",t,this.ui(i))},_over:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.addClass(this.options.hoverClass),this._trigger("over",t,this.ui(i)))},_out:function(t){var i=e.ui.ddmanager.current;i&&(i.currentItem||i.element)[0]!==this.element[0]&&this.accept.call(this.element[0],i.currentItem||i.element)&&(this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("out",t,this.ui(i)))},_drop:function(t,i){var s=i||e.ui.ddmanager.current,n=!1;return s&&(s.currentItem||s.element)[0]!==this.element[0]?(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var i=e(this).droppable("instance");return i.options.greedy&&!i.options.disabled&&i.options.scope===s.options.scope&&i.accept.call(i.element[0],s.currentItem||s.element)&&e.ui.intersect(s,e.extend(i,{offset:i.element.offset()}),i.options.tolerance,t)?(n=!0,!1):void 0}),n?!1:this.accept.call(this.element[0],s.currentItem||s.element)?(this.options.activeClass&&this.element.removeClass(this.options.activeClass),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass),this._trigger("drop",t,this.ui(s)),this.element):!1):!1},ui:function(e){return{draggable:e.currentItem||e.element,helper:e.helper,position:e.position,offset:e.positionAbs}}}),e.ui.intersect=function(){function e(e,t,i){return e>=t&&t+i>e}return function(t,i,s,n){if(!i.offset)return!1;var a=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,r=a+t.helperProportions.width,h=o+t.helperProportions.height,l=i.offset.left,u=i.offset.top,d=l+i.proportions().width,c=u+i.proportions().height;switch(s){case"fit":return a>=l&&d>=r&&o>=u&&c>=h;case"intersect":return a+t.helperProportions.width/2>l&&d>r-t.helperProportions.width/2&&o+t.helperProportions.height/2>u&&c>h-t.helperProportions.height/2;case"pointer":return e(n.pageY,u,i.proportions().height)&&e(n.pageX,l,i.proportions().width);case"touch":return(o>=u&&c>=o||h>=u&&c>=h||u>o&&h>c)&&(a>=l&&d>=a||r>=l&&d>=r||l>a&&r>d);default:return!1}}}(),e.ui.ddmanager={current:null,droppables:{"default":[]},prepareOffsets:function(t,i){var s,n,a=e.ui.ddmanager.droppables[t.options.scope]||[],o=i?i.type:null,r=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();e:for(s=0;a.length>s;s++)if(!(a[s].options.disabled||t&&!a[s].accept.call(a[s].element[0],t.currentItem||t.element))){for(n=0;r.length>n;n++)if(r[n]===a[s].element[0]){a[s].proportions().height=0;continue e}a[s].visible="none"!==a[s].element.css("display"),a[s].visible&&("mousedown"===o&&a[s]._activate.call(a[s],i),a[s].offset=a[s].element.offset(),a[s].proportions({width:a[s].element[0].offsetWidth,height:a[s].element[0].offsetHeight}))}},drop:function(t,i){var s=!1;return e.each((e.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&e.ui.intersect(t,this,this.options.tolerance,i)&&(s=this._drop.call(this,i)||s),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,i)))}),s},dragStart:function(t,i){t.element.parentsUntil("body").bind("scroll.droppable",function(){t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)})},drag:function(t,i){t.options.refreshPositions&&e.ui.ddmanager.prepareOffsets(t,i),e.each(e.ui.ddmanager.droppables[t.options.scope]||[],function(){if(!this.options.disabled&&!this.greedyChild&&this.visible){var s,n,a,o=e.ui.intersect(t,this,this.options.tolerance,i),r=!o&&this.isover?"isout":o&&!this.isover?"isover":null;r&&(this.options.greedy&&(n=this.options.scope,a=this.element.parents(":data(ui-droppable)").filter(function(){return e(this).droppable("instance").options.scope===n}),a.length&&(s=e(a[0]).droppable("instance"),s.greedyChild="isover"===r)),s&&"isover"===r&&(s.isover=!1,s.isout=!0,s._out.call(s,i)),this[r]=!0,this["isout"===r?"isover":"isout"]=!1,this["isover"===r?"_over":"_out"].call(this,i),s&&"isout"===r&&(s.isout=!1,s.isover=!0,s._over.call(s,i)))}})},dragStop:function(t,i){t.element.parentsUntil("body").unbind("scroll.droppable"),t.options.refreshPositions||e.ui.ddmanager.prepareOffsets(t,i)}},e.ui.droppable,e.widget("ui.resizable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(e){return parseInt(e,10)||0},_isNumber:function(e){return!isNaN(parseInt(e,10))},_hasScroll:function(t,i){if("hidden"===e(t).css("overflow"))return!1;var s=i&&"left"===i?"scrollLeft":"scrollTop",n=!1;return t[s]>0?!0:(t[s]=1,n=t[s]>0,t[s]=0,n)},_create:function(){var t,i,s,n,a,o=this,r=this.options;if(this.element.addClass("ui-resizable"),e.extend(this,{_aspectRatio:!!r.aspectRatio,aspectRatio:r.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:r.helper||r.ghost||r.animate?r.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(e("<div class='ui-wrapper' style='overflow: hidden;'></div>").css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")}),this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0}),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css({margin:this.originalElement.css("margin")}),this._proportionallyResize()),this.handles=r.handles||(e(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=e(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),t=this.handles.split(","),this.handles={},i=0;t.length>i;i++)s=e.trim(t[i]),a="ui-resizable-"+s,n=e("<div class='ui-resizable-handle "+a+"'></div>"),n.css({zIndex:r.zIndex}),"se"===s&&n.addClass("ui-icon ui-icon-gripsmall-diagonal-se"),this.handles[s]=".ui-resizable-"+s,this.element.append(n);this._renderAxis=function(t){var i,s,n,a;t=t||this.element;for(i in this.handles)this.handles[i].constructor===String?this.handles[i]=this.element.children(this.handles[i]).first().show():(this.handles[i].jquery||this.handles[i].nodeType)&&(this.handles[i]=e(this.handles[i]),this._on(this.handles[i],{mousedown:o._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(s=e(this.handles[i],this.element),a=/sw|ne|nw|se|n|s/.test(i)?s.outerHeight():s.outerWidth(),n=["padding",/ne|nw|n/.test(i)?"Top":/se|sw|s/.test(i)?"Bottom":/^e$/.test(i)?"Right":"Left"].join(""),t.css(n,a),this._proportionallyResize()),this._handles=this._handles.add(this.handles[i])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.mouseover(function(){o.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),o.axis=n&&n[1]?n[1]:"se")}),r.autoHide&&(this._handles.hide(),e(this.element).addClass("ui-resizable-autohide").mouseenter(function(){r.disabled||(e(this).removeClass("ui-resizable-autohide"),o._handles.show())}).mouseleave(function(){r.disabled||o.resizing||(e(this).addClass("ui-resizable-autohide"),o._handles.hide())})),this._mouseInit()},_destroy:function(){this._mouseDestroy();var t,i=function(t){e(t).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").removeData("ui-resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};return this.elementIsWrapper&&(i(this.element),t=this.element,this.originalElement.css({position:t.css("position"),width:t.outerWidth(),height:t.outerHeight(),top:t.css("top"),left:t.css("left")}).insertAfter(t),t.remove()),this.originalElement.css("resize",this.originalResizeStyle),i(this.originalElement),this},_mouseCapture:function(t){var i,s,n=!1;for(i in this.handles)s=e(this.handles[i])[0],(s===t.target||e.contains(s,t.target))&&(n=!0);return!this.options.disabled&&n},_mouseStart:function(t){var i,s,n,a=this.options,o=this.element;return this.resizing=!0,this._renderProxy(),i=this._num(this.helper.css("left")),s=this._num(this.helper.css("top")),a.containment&&(i+=e(a.containment).scrollLeft()||0,s+=e(a.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:i,top:s},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:o.width(),height:o.height()},this.originalSize=this._helper?{width:o.outerWidth(),height:o.outerHeight()}:{width:o.width(),height:o.height()},this.sizeDiff={width:o.outerWidth()-o.width(),height:o.outerHeight()-o.height()},this.originalPosition={left:i,top:s},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof a.aspectRatio?a.aspectRatio:this.originalSize.width/this.originalSize.height||1,n=e(".ui-resizable-"+this.axis).css("cursor"),e("body").css("cursor","auto"===n?this.axis+"-resize":n),o.addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var i,s,n=this.originalMousePosition,a=this.axis,o=t.pageX-n.left||0,r=t.pageY-n.top||0,h=this._change[a];return this._updatePrevProperties(),h?(i=h.apply(this,[t,o,r]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(i=this._updateRatio(i,t)),i=this._respectSize(i,t),this._updateCache(i),this._propagate("resize",t),s=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),e.isEmptyObject(s)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges()),!1):!1},_mouseStop:function(t){this.resizing=!1;var i,s,n,a,o,r,h,l=this.options,u=this;return this._helper&&(i=this._proportionallyResizeElements,s=i.length&&/textarea/i.test(i[0].nodeName),n=s&&this._hasScroll(i[0],"left")?0:u.sizeDiff.height,a=s?0:u.sizeDiff.width,o={width:u.helper.width()-a,height:u.helper.height()-n},r=parseInt(u.element.css("left"),10)+(u.position.left-u.originalPosition.left)||null,h=parseInt(u.element.css("top"),10)+(u.position.top-u.originalPosition.top)||null,l.animate||this.element.css(e.extend(o,{top:h,left:r})),u.helper.height(u.size.height),u.helper.width(u.size.width),this._helper&&!l.animate&&this._proportionallyResize()),e("body").css("cursor","auto"),this.element.removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var e={};return this.position.top!==this.prevPosition.top&&(e.top=this.position.top+"px"),this.position.left!==this.prevPosition.left&&(e.left=this.position.left+"px"),this.size.width!==this.prevSize.width&&(e.width=this.size.width+"px"),this.size.height!==this.prevSize.height&&(e.height=this.size.height+"px"),this.helper.css(e),e},_updateVirtualBoundaries:function(e){var t,i,s,n,a,o=this.options;a={minWidth:this._isNumber(o.minWidth)?o.minWidth:0,maxWidth:this._isNumber(o.maxWidth)?o.maxWidth:1/0,minHeight:this._isNumber(o.minHeight)?o.minHeight:0,maxHeight:this._isNumber(o.maxHeight)?o.maxHeight:1/0},(this._aspectRatio||e)&&(t=a.minHeight*this.aspectRatio,s=a.minWidth/this.aspectRatio,i=a.maxHeight*this.aspectRatio,n=a.maxWidth/this.aspectRatio,t>a.minWidth&&(a.minWidth=t),s>a.minHeight&&(a.minHeight=s),a.maxWidth>i&&(a.maxWidth=i),a.maxHeight>n&&(a.maxHeight=n)),this._vBoundaries=a},_updateCache:function(e){this.offset=this.helper.offset(),this._isNumber(e.left)&&(this.position.left=e.left),this._isNumber(e.top)&&(this.position.top=e.top),this._isNumber(e.height)&&(this.size.height=e.height),this._isNumber(e.width)&&(this.size.width=e.width)},_updateRatio:function(e){var t=this.position,i=this.size,s=this.axis;return this._isNumber(e.height)?e.width=e.height*this.aspectRatio:this._isNumber(e.width)&&(e.height=e.width/this.aspectRatio),"sw"===s&&(e.left=t.left+(i.width-e.width),e.top=null),"nw"===s&&(e.top=t.top+(i.height-e.height),e.left=t.left+(i.width-e.width)),e},_respectSize:function(e){var t=this._vBoundaries,i=this.axis,s=this._isNumber(e.width)&&t.maxWidth&&t.maxWidth<e.width,n=this._isNumber(e.height)&&t.maxHeight&&t.maxHeight<e.height,a=this._isNumber(e.width)&&t.minWidth&&t.minWidth>e.width,o=this._isNumber(e.height)&&t.minHeight&&t.minHeight>e.height,r=this.originalPosition.left+this.originalSize.width,h=this.position.top+this.size.height,l=/sw|nw|w/.test(i),u=/nw|ne|n/.test(i);return a&&(e.width=t.minWidth),o&&(e.height=t.minHeight),s&&(e.width=t.maxWidth),n&&(e.height=t.maxHeight),a&&l&&(e.left=r-t.minWidth),s&&l&&(e.left=r-t.maxWidth),o&&u&&(e.top=h-t.minHeight),n&&u&&(e.top=h-t.maxHeight),e.width||e.height||e.left||!e.top?e.width||e.height||e.top||!e.left||(e.left=null):e.top=null,e},_getPaddingPlusBorderDimensions:function(e){for(var t=0,i=[],s=[e.css("borderTopWidth"),e.css("borderRightWidth"),e.css("borderBottomWidth"),e.css("borderLeftWidth")],n=[e.css("paddingTop"),e.css("paddingRight"),e.css("paddingBottom"),e.css("paddingLeft")];4>t;t++)i[t]=parseInt(s[t],10)||0,i[t]+=parseInt(n[t],10)||0;return{height:i[0]+i[2],width:i[1]+i[3]}},_proportionallyResize:function(){if(this._proportionallyResizeElements.length)for(var e,t=0,i=this.helper||this.element;this._proportionallyResizeElements.length>t;t++)e=this._proportionallyResizeElements[t],this.outerDimensions||(this.outerDimensions=this._getPaddingPlusBorderDimensions(e)),e.css({height:i.height()-this.outerDimensions.height||0,width:i.width()-this.outerDimensions.width||0})},_renderProxy:function(){var t=this.element,i=this.options;this.elementOffset=t.offset(),this._helper?(this.helper=this.helper||e("<div style='overflow:hidden;'></div>"),this.helper.addClass(this._helper).css({width:this.element.outerWidth()-1,height:this.element.outerHeight()-1,position:"absolute",left:this.elementOffset.left+"px",top:this.elementOffset.top+"px",zIndex:++i.zIndex}),this.helper.appendTo("body").disableSelection()):this.helper=this.element},_change:{e:function(e,t){return{width:this.originalSize.width+t}},w:function(e,t){var i=this.originalSize,s=this.originalPosition;return{left:s.left+t,width:i.width-t}},n:function(e,t,i){var s=this.originalSize,n=this.originalPosition;return{top:n.top+i,height:s.height-i}},s:function(e,t,i){return{height:this.originalSize.height+i}},se:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},sw:function(t,i,s){return e.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[t,i,s]))},ne:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[t,i,s]))},nw:function(t,i,s){return e.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[t,i,s]))}},_propagate:function(t,i){e.ui.plugin.call(this,t,[i,this.ui()]),"resize"!==t&&this._trigger(t,i,this.ui())},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}}),e.ui.plugin.add("resizable","animate",{stop:function(t){var i=e(this).resizable("instance"),s=i.options,n=i._proportionallyResizeElements,a=n.length&&/textarea/i.test(n[0].nodeName),o=a&&i._hasScroll(n[0],"left")?0:i.sizeDiff.height,r=a?0:i.sizeDiff.width,h={width:i.size.width-r,height:i.size.height-o},l=parseInt(i.element.css("left"),10)+(i.position.left-i.originalPosition.left)||null,u=parseInt(i.element.css("top"),10)+(i.position.top-i.originalPosition.top)||null;i.element.animate(e.extend(h,u&&l?{top:u,left:l}:{}),{duration:s.animateDuration,easing:s.animateEasing,step:function(){var s={width:parseInt(i.element.css("width"),10),height:parseInt(i.element.css("height"),10),top:parseInt(i.element.css("top"),10),left:parseInt(i.element.css("left"),10)};n&&n.length&&e(n[0]).css({width:s.width,height:s.height}),i._updateCache(s),i._propagate("resize",t)}})}}),e.ui.plugin.add("resizable","containment",{start:function(){var t,i,s,n,a,o,r,h=e(this).resizable("instance"),l=h.options,u=h.element,d=l.containment,c=d instanceof e?d.get(0):/parent/.test(d)?u.parent().get(0):d;c&&(h.containerElement=e(c),/document/.test(d)||d===document?(h.containerOffset={left:0,top:0},h.containerPosition={left:0,top:0},h.parentData={element:e(document),left:0,top:0,width:e(document).width(),height:e(document).height()||document.body.parentNode.scrollHeight}):(t=e(c),i=[],e(["Top","Right","Left","Bottom"]).each(function(e,s){i[e]=h._num(t.css("padding"+s))}),h.containerOffset=t.offset(),h.containerPosition=t.position(),h.containerSize={height:t.innerHeight()-i[3],width:t.innerWidth()-i[1]},s=h.containerOffset,n=h.containerSize.height,a=h.containerSize.width,o=h._hasScroll(c,"left")?c.scrollWidth:a,r=h._hasScroll(c)?c.scrollHeight:n,h.parentData={element:c,left:s.left,top:s.top,width:o,height:r}))},resize:function(t){var i,s,n,a,o=e(this).resizable("instance"),r=o.options,h=o.containerOffset,l=o.position,u=o._aspectRatio||t.shiftKey,d={top:0,left:0},c=o.containerElement,p=!0;c[0]!==document&&/static/.test(c.css("position"))&&(d=h),l.left<(o._helper?h.left:0)&&(o.size.width=o.size.width+(o._helper?o.position.left-h.left:o.position.left-d.left),u&&(o.size.height=o.size.width/o.aspectRatio,p=!1),o.position.left=r.helper?h.left:0),l.top<(o._helper?h.top:0)&&(o.size.height=o.size.height+(o._helper?o.position.top-h.top:o.position.top),u&&(o.size.width=o.size.height*o.aspectRatio,p=!1),o.position.top=o._helper?h.top:0),n=o.containerElement.get(0)===o.element.parent().get(0),a=/relative|absolute/.test(o.containerElement.css("position")),n&&a?(o.offset.left=o.parentData.left+o.position.left,o.offset.top=o.parentData.top+o.position.top):(o.offset.left=o.element.offset().left,o.offset.top=o.element.offset().top),i=Math.abs(o.sizeDiff.width+(o._helper?o.offset.left-d.left:o.offset.left-h.left)),s=Math.abs(o.sizeDiff.height+(o._helper?o.offset.top-d.top:o.offset.top-h.top)),i+o.size.width>=o.parentData.width&&(o.size.width=o.parentData.width-i,u&&(o.size.height=o.size.width/o.aspectRatio,p=!1)),s+o.size.height>=o.parentData.height&&(o.size.height=o.parentData.height-s,u&&(o.size.width=o.size.height*o.aspectRatio,p=!1)),p||(o.position.left=o.prevPosition.left,o.position.top=o.prevPosition.top,o.size.width=o.prevSize.width,o.size.height=o.prevSize.height)},stop:function(){var t=e(this).resizable("instance"),i=t.options,s=t.containerOffset,n=t.containerPosition,a=t.containerElement,o=e(t.helper),r=o.offset(),h=o.outerWidth()-t.sizeDiff.width,l=o.outerHeight()-t.sizeDiff.height;t._helper&&!i.animate&&/relative/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l}),t._helper&&!i.animate&&/static/.test(a.css("position"))&&e(this).css({left:r.left-n.left-s.left,width:h,height:l})}}),e.ui.plugin.add("resizable","alsoResize",{start:function(){var t=e(this).resizable("instance"),i=t.options;e(i.alsoResize).each(function(){var t=e(this);t.data("ui-resizable-alsoresize",{width:parseInt(t.width(),10),height:parseInt(t.height(),10),left:parseInt(t.css("left"),10),top:parseInt(t.css("top"),10)})})},resize:function(t,i){var s=e(this).resizable("instance"),n=s.options,a=s.originalSize,o=s.originalPosition,r={height:s.size.height-a.height||0,width:s.size.width-a.width||0,top:s.position.top-o.top||0,left:s.position.left-o.left||0};e(n.alsoResize).each(function(){var t=e(this),s=e(this).data("ui-resizable-alsoresize"),n={},a=t.parents(i.originalElement[0]).length?["width","height"]:["width","height","top","left"];e.each(a,function(e,t){var i=(s[t]||0)+(r[t]||0);i&&i>=0&&(n[t]=i||null)}),t.css(n)})},stop:function(){e(this).removeData("resizable-alsoresize")}}),e.ui.plugin.add("resizable","ghost",{start:function(){var t=e(this).resizable("instance"),i=t.options,s=t.size;t.ghost=t.originalElement.clone(),t.ghost.css({opacity:.25,display:"block",position:"relative",height:s.height,width:s.width,margin:0,left:0,top:0}).addClass("ui-resizable-ghost").addClass("string"==typeof i.ghost?i.ghost:""),t.ghost.appendTo(t.helper)},resize:function(){var t=e(this).resizable("instance");t.ghost&&t.ghost.css({position:"relative",height:t.size.height,width:t.size.width})},stop:function(){var t=e(this).resizable("instance");t.ghost&&t.helper&&t.helper.get(0).removeChild(t.ghost.get(0))}}),e.ui.plugin.add("resizable","grid",{resize:function(){var t,i=e(this).resizable("instance"),s=i.options,n=i.size,a=i.originalSize,o=i.originalPosition,r=i.axis,h="number"==typeof s.grid?[s.grid,s.grid]:s.grid,l=h[0]||1,u=h[1]||1,d=Math.round((n.width-a.width)/l)*l,c=Math.round((n.height-a.height)/u)*u,p=a.width+d,f=a.height+c,m=s.maxWidth&&p>s.maxWidth,g=s.maxHeight&&f>s.maxHeight,v=s.minWidth&&s.minWidth>p,y=s.minHeight&&s.minHeight>f;s.grid=h,v&&(p+=l),y&&(f+=u),m&&(p-=l),g&&(f-=u),/^(se|s|e)$/.test(r)?(i.size.width=p,i.size.height=f):/^(ne)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.top=o.top-c):/^(sw)$/.test(r)?(i.size.width=p,i.size.height=f,i.position.left=o.left-d):((0>=f-u||0>=p-l)&&(t=i._getPaddingPlusBorderDimensions(this)),f-u>0?(i.size.height=f,i.position.top=o.top-c):(f=u-t.height,i.size.height=f,i.position.top=o.top+a.height-f),p-l>0?(i.size.width=p,i.position.left=o.left-d):(p=l-t.width,i.size.width=p,i.position.left=o.left+a.width-p))}}),e.ui.resizable,e.widget("ui.selectable",e.ui.mouse,{version:"1.11.4",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var t,i=this;this.element.addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){t=e(i.options.filter,i.element[0]),t.addClass("ui-selectee"),t.each(function(){var t=e(this),i=t.offset();e.data(this,"selectable-item",{element:this,$element:t,left:i.left,top:i.top,right:i.left+t.outerWidth(),bottom:i.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this.selectees=t.addClass("ui-selectee"),this._mouseInit(),this.helper=e("<div class='ui-selectable-helper'></div>")},_destroy:function(){this.selectees.removeClass("ui-selectee").removeData("selectable-item"),this.element.removeClass("ui-selectable ui-selectable-disabled"),this._mouseDestroy()},_mouseStart:function(t){var i=this,s=this.options;this.opos=[t.pageX,t.pageY],this.options.disabled||(this.selectees=e(s.filter,this.element[0]),this._trigger("start",t),e(s.appendTo).append(this.helper),this.helper.css({left:t.pageX,top:t.pageY,width:0,height:0}),s.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var s=e.data(this,"selectable-item");s.startselected=!0,t.metaKey||t.ctrlKey||(s.$element.removeClass("ui-selected"),s.selected=!1,s.$element.addClass("ui-unselecting"),s.unselecting=!0,i._trigger("unselecting",t,{unselecting:s.element}))}),e(t.target).parents().addBack().each(function(){var s,n=e.data(this,"selectable-item");return n?(s=!t.metaKey&&!t.ctrlKey||!n.$element.hasClass("ui-selected"),n.$element.removeClass(s?"ui-unselecting":"ui-selected").addClass(s?"ui-selecting":"ui-unselecting"),n.unselecting=!s,n.selecting=s,n.selected=s,s?i._trigger("selecting",t,{selecting:n.element}):i._trigger("unselecting",t,{unselecting:n.element}),!1):void 0}))},_mouseDrag:function(t){if(this.dragged=!0,!this.options.disabled){var i,s=this,n=this.options,a=this.opos[0],o=this.opos[1],r=t.pageX,h=t.pageY;return a>r&&(i=r,r=a,a=i),o>h&&(i=h,h=o,o=i),this.helper.css({left:a,top:o,width:r-a,height:h-o}),this.selectees.each(function(){var i=e.data(this,"selectable-item"),l=!1;
+i&&i.element!==s.element[0]&&("touch"===n.tolerance?l=!(i.left>r||a>i.right||i.top>h||o>i.bottom):"fit"===n.tolerance&&(l=i.left>a&&r>i.right&&i.top>o&&h>i.bottom),l?(i.selected&&(i.$element.removeClass("ui-selected"),i.selected=!1),i.unselecting&&(i.$element.removeClass("ui-unselecting"),i.unselecting=!1),i.selecting||(i.$element.addClass("ui-selecting"),i.selecting=!0,s._trigger("selecting",t,{selecting:i.element}))):(i.selecting&&((t.metaKey||t.ctrlKey)&&i.startselected?(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.$element.addClass("ui-selected"),i.selected=!0):(i.$element.removeClass("ui-selecting"),i.selecting=!1,i.startselected&&(i.$element.addClass("ui-unselecting"),i.unselecting=!0),s._trigger("unselecting",t,{unselecting:i.element}))),i.selected&&(t.metaKey||t.ctrlKey||i.startselected||(i.$element.removeClass("ui-selected"),i.selected=!1,i.$element.addClass("ui-unselecting"),i.unselecting=!0,s._trigger("unselecting",t,{unselecting:i.element})))))}),!1}},_mouseStop:function(t){var i=this;return this.dragged=!1,e(".ui-unselecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-unselecting"),s.unselecting=!1,s.startselected=!1,i._trigger("unselected",t,{unselected:s.element})}),e(".ui-selecting",this.element[0]).each(function(){var s=e.data(this,"selectable-item");s.$element.removeClass("ui-selecting").addClass("ui-selected"),s.selecting=!1,s.selected=!0,s.startselected=!0,i._trigger("selected",t,{selected:s.element})}),this._trigger("stop",t),this.helper.remove(),!1}}),e.widget("ui.sortable",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(e,t,i){return e>=t&&t+i>e},_isFloating:function(e){return/left|right/.test(e.css("float"))||/inline|table-cell/.test(e.css("display"))},_create:function(){this.containerCache={},this.element.addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(e,t){this._super(e,t),"handle"===e&&this._setHandleClassName()},_setHandleClassName:function(){this.element.find(".ui-sortable-handle").removeClass("ui-sortable-handle"),e.each(this.items,function(){(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item).addClass("ui-sortable-handle")})},_destroy:function(){this.element.removeClass("ui-sortable ui-sortable-disabled").find(".ui-sortable-handle").removeClass("ui-sortable-handle"),this._mouseDestroy();for(var e=this.items.length-1;e>=0;e--)this.items[e].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,i){var s=null,n=!1,a=this;return this.reverting?!1:this.options.disabled||"static"===this.options.type?!1:(this._refreshItems(t),e(t.target).parents().each(function(){return e.data(this,a.widgetName+"-item")===a?(s=e(this),!1):void 0}),e.data(t.target,a.widgetName+"-item")===a&&(s=e(t.target)),s?!this.options.handle||i||(e(this.options.handle,s).find("*").addBack().each(function(){this===t.target&&(n=!0)}),n)?(this.currentItem=s,this._removeCurrentsFromItems(),!0):!1:!1)},_mouseStart:function(t,i,s){var n,a,o=this.options;if(this.currentContainer=this,this.refreshPositions(),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.scrollParent=this.helper.scrollParent(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},e.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},parent:this._getParentOffset(),relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(a=this.document.find("body"),this.storedCursor=a.css("cursor"),a.css("cursor",o.cursor),this.storedStylesheet=e("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(a)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!s)for(n=this.containers.length-1;n>=0;n--)this.containers[n]._trigger("activate",t,this._uiHash(this));return e.ui.ddmanager&&(e.ui.ddmanager.current=this),e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this.helper.addClass("ui-sortable-helper"),this._mouseDrag(t),!0},_mouseDrag:function(t){var i,s,n,a,o=this.options,r=!1;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.lastPositionAbs||(this.lastPositionAbs=this.positionAbs),this.options.scroll&&(this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<o.scrollSensitivity?this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop+o.scrollSpeed:t.pageY-this.overflowOffset.top<o.scrollSensitivity&&(this.scrollParent[0].scrollTop=r=this.scrollParent[0].scrollTop-o.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<o.scrollSensitivity?this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft+o.scrollSpeed:t.pageX-this.overflowOffset.left<o.scrollSensitivity&&(this.scrollParent[0].scrollLeft=r=this.scrollParent[0].scrollLeft-o.scrollSpeed)):(t.pageY-this.document.scrollTop()<o.scrollSensitivity?r=this.document.scrollTop(this.document.scrollTop()-o.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<o.scrollSensitivity&&(r=this.document.scrollTop(this.document.scrollTop()+o.scrollSpeed)),t.pageX-this.document.scrollLeft()<o.scrollSensitivity?r=this.document.scrollLeft(this.document.scrollLeft()-o.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<o.scrollSensitivity&&(r=this.document.scrollLeft(this.document.scrollLeft()+o.scrollSpeed))),r!==!1&&e.ui.ddmanager&&!o.dropBehaviour&&e.ui.ddmanager.prepareOffsets(this,t)),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),i=this.items.length-1;i>=0;i--)if(s=this.items[i],n=s.item[0],a=this._intersectsWithPointer(s),a&&s.instance===this.currentContainer&&n!==this.currentItem[0]&&this.placeholder[1===a?"next":"prev"]()[0]!==n&&!e.contains(this.placeholder[0],n)&&("semi-dynamic"===this.options.type?!e.contains(this.element[0],n):!0)){if(this.direction=1===a?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(s))break;this._rearrange(t,s),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),e.ui.ddmanager&&e.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,i){if(t){if(e.ui.ddmanager&&!this.options.dropBehaviour&&e.ui.ddmanager.drop(this,t),this.options.revert){var s=this,n=this.placeholder.offset(),a=this.options.axis,o={};a&&"x"!==a||(o.left=n.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),a&&"y"!==a||(o.top=n.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,e(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){s._clear(t)})}else this._clear(t,i);return!1}},cancel:function(){if(this.dragging){this._mouseUp({target:null}),"original"===this.options.helper?this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper"):this.currentItem.show();for(var t=this.containers.length-1;t>=0;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),e.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?e(this.domPosition.prev).after(this.currentItem):e(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},e(i).each(function(){var i=(e(t.item||this).attr(t.attribute||"id")||"").match(t.expression||/(.+)[\-=_](.+)/);i&&s.push((t.key||i[1]+"[]")+"="+(t.key&&t.expression?i[1]:i[2]))}),!s.length&&t.key&&s.push(t.key+"="),s.join("&")},toArray:function(t){var i=this._getItemsAsjQuery(t&&t.connected),s=[];return t=t||{},i.each(function(){s.push(e(t.item||this).attr(t.attribute||"id")||"")}),s},_intersectsWith:function(e){var t=this.positionAbs.left,i=t+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,a=e.left,o=a+e.width,r=e.top,h=r+e.height,l=this.offset.click.top,u=this.offset.click.left,d="x"===this.options.axis||s+l>r&&h>s+l,c="y"===this.options.axis||t+u>a&&o>t+u,p=d&&c;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>e[this.floating?"width":"height"]?p:t+this.helperProportions.width/2>a&&o>i-this.helperProportions.width/2&&s+this.helperProportions.height/2>r&&h>n-this.helperProportions.height/2},_intersectsWithPointer:function(e){var t="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top,e.height),i="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left,e.width),s=t&&i,n=this._getDragVerticalDirection(),a=this._getDragHorizontalDirection();return s?this.floating?a&&"right"===a||"down"===n?2:1:n&&("down"===n?2:1):!1},_intersectsWithSides:function(e){var t=this._isOverAxis(this.positionAbs.top+this.offset.click.top,e.top+e.height/2,e.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,e.left+e.width/2,e.width),s=this._getDragVerticalDirection(),n=this._getDragHorizontalDirection();return this.floating&&n?"right"===n&&i||"left"===n&&!i:s&&("down"===s&&t||"up"===s&&!t)},_getDragVerticalDirection:function(){var e=this.positionAbs.top-this.lastPositionAbs.top;return 0!==e&&(e>0?"down":"up")},_getDragHorizontalDirection:function(){var e=this.positionAbs.left-this.lastPositionAbs.left;return 0!==e&&(e>0?"right":"left")},refresh:function(e){return this._refreshItems(e),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var e=this.options;return e.connectWith.constructor===String?[e.connectWith]:e.connectWith},_getItemsAsjQuery:function(t){function i(){r.push(this)}var s,n,a,o,r=[],h=[],l=this._connectWith();if(l&&t)for(s=l.length-1;s>=0;s--)for(a=e(l[s],this.document[0]),n=a.length-1;n>=0;n--)o=e.data(a[n],this.widgetFullName),o&&o!==this&&!o.options.disabled&&h.push([e.isFunction(o.options.items)?o.options.items.call(o.element):e(o.options.items,o.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),o]);for(h.push([e.isFunction(this.options.items)?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):e(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),s=h.length-1;s>=0;s--)h[s][0].each(i);return e(r)},_removeCurrentsFromItems:function(){var t=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=e.grep(this.items,function(e){for(var i=0;t.length>i;i++)if(t[i]===e.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var i,s,n,a,o,r,h,l,u=this.items,d=[[e.isFunction(this.options.items)?this.options.items.call(this.element[0],t,{item:this.currentItem}):e(this.options.items,this.element),this]],c=this._connectWith();if(c&&this.ready)for(i=c.length-1;i>=0;i--)for(n=e(c[i],this.document[0]),s=n.length-1;s>=0;s--)a=e.data(n[s],this.widgetFullName),a&&a!==this&&!a.options.disabled&&(d.push([e.isFunction(a.options.items)?a.options.items.call(a.element[0],t,{item:this.currentItem}):e(a.options.items,a.element),a]),this.containers.push(a));for(i=d.length-1;i>=0;i--)for(o=d[i][1],r=d[i][0],s=0,l=r.length;l>s;s++)h=e(r[s]),h.data(this.widgetName+"-item",o),u.push({item:h,instance:o,width:0,height:0,left:0,top:0})},refreshPositions:function(t){this.floating=this.items.length?"x"===this.options.axis||this._isFloating(this.items[0].item):!1,this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset());var i,s,n,a;for(i=this.items.length-1;i>=0;i--)s=this.items[i],s.instance!==this.currentContainer&&this.currentContainer&&s.item[0]!==this.currentItem[0]||(n=this.options.toleranceElement?e(this.options.toleranceElement,s.item):s.item,t||(s.width=n.outerWidth(),s.height=n.outerHeight()),a=n.offset(),s.left=a.left,s.top=a.top);if(this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(i=this.containers.length-1;i>=0;i--)a=this.containers[i].element.offset(),this.containers[i].containerCache.left=a.left,this.containers[i].containerCache.top=a.top,this.containers[i].containerCache.width=this.containers[i].element.outerWidth(),this.containers[i].containerCache.height=this.containers[i].element.outerHeight();return this},_createPlaceholder:function(t){t=t||this;var i,s=t.options;s.placeholder&&s.placeholder.constructor!==String||(i=s.placeholder,s.placeholder={element:function(){var s=t.currentItem[0].nodeName.toLowerCase(),n=e("<"+s+">",t.document[0]).addClass(i||t.currentItem[0].className+" ui-sortable-placeholder").removeClass("ui-sortable-helper");return"tbody"===s?t._createTrPlaceholder(t.currentItem.find("tr").eq(0),e("<tr>",t.document[0]).appendTo(n)):"tr"===s?t._createTrPlaceholder(t.currentItem,n):"img"===s&&n.attr("src",t.currentItem.attr("src")),i||n.css("visibility","hidden"),n},update:function(e,n){(!i||s.forcePlaceholderSize)&&(n.height()||n.height(t.currentItem.innerHeight()-parseInt(t.currentItem.css("paddingTop")||0,10)-parseInt(t.currentItem.css("paddingBottom")||0,10)),n.width()||n.width(t.currentItem.innerWidth()-parseInt(t.currentItem.css("paddingLeft")||0,10)-parseInt(t.currentItem.css("paddingRight")||0,10)))}}),t.placeholder=e(s.placeholder.element.call(t.element,t.currentItem)),t.currentItem.after(t.placeholder),s.placeholder.update(t,t.placeholder)},_createTrPlaceholder:function(t,i){var s=this;t.children().each(function(){e("<td>&#160;</td>",s.document[0]).attr("colspan",e(this).attr("colspan")||1).appendTo(i)})},_contactContainers:function(t){var i,s,n,a,o,r,h,l,u,d,c=null,p=null;for(i=this.containers.length-1;i>=0;i--)if(!e.contains(this.currentItem[0],this.containers[i].element[0]))if(this._intersectsWith(this.containers[i].containerCache)){if(c&&e.contains(this.containers[i].element[0],c.element[0]))continue;c=this.containers[i],p=i}else this.containers[i].containerCache.over&&(this.containers[i]._trigger("out",t,this._uiHash(this)),this.containers[i].containerCache.over=0);if(c)if(1===this.containers.length)this.containers[p].containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1);else{for(n=1e4,a=null,u=c.floating||this._isFloating(this.currentItem),o=u?"left":"top",r=u?"width":"height",d=u?"clientX":"clientY",s=this.items.length-1;s>=0;s--)e.contains(this.containers[p].element[0],this.items[s].item[0])&&this.items[s].item[0]!==this.currentItem[0]&&(h=this.items[s].item.offset()[o],l=!1,t[d]-h>this.items[s][r]/2&&(l=!0),n>Math.abs(t[d]-h)&&(n=Math.abs(t[d]-h),a=this.items[s],this.direction=l?"up":"down"));if(!a&&!this.options.dropOnEmpty)return;if(this.currentContainer===this.containers[p])return this.currentContainer.containerCache.over||(this.containers[p]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1),void 0;a?this._rearrange(t,a,null,!0):this._rearrange(t,null,this.containers[p].element,!0),this._trigger("change",t,this._uiHash()),this.containers[p]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[p],this.options.placeholder.update(this.currentContainer,this.placeholder),this.containers[p]._trigger("over",t,this._uiHash(this)),this.containers[p].containerCache.over=1}},_createHelper:function(t){var i=this.options,s=e.isFunction(i.helper)?e(i.helper.apply(this.element[0],[t,this.currentItem])):"clone"===i.helper?this.currentItem.clone():this.currentItem;return s.parents("body").length||e("parent"!==i.appendTo?i.appendTo:this.currentItem[0].parentNode)[0].appendChild(s[0]),s[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),(!s[0].style.width||i.forceHelperSize)&&s.width(this.currentItem.width()),(!s[0].style.height||i.forceHelperSize)&&s.height(this.currentItem.height()),s},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),e.isArray(t)&&(t={left:+t[0],top:+t[1]||0}),"left"in t&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),(this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&e.ui.ie)&&(t={top:0,left:0}),{top:t.top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"===this.cssPosition){var e=this.currentItem.position();return{top:e.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:e.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}}return{top:0,left:0}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,i,s,n=this.options;"parent"===n.containment&&(n.containment=this.helper[0].parentNode),("document"===n.containment||"window"===n.containment)&&(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===n.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===n.containment?this.document.width():this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(n.containment)||(t=e(n.containment)[0],i=e(n.containment).offset(),s="hidden"!==e(t).css("overflow"),this.containment=[i.left+(parseInt(e(t).css("borderLeftWidth"),10)||0)+(parseInt(e(t).css("paddingLeft"),10)||0)-this.margins.left,i.top+(parseInt(e(t).css("borderTopWidth"),10)||0)+(parseInt(e(t).css("paddingTop"),10)||0)-this.margins.top,i.left+(s?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(e(t).css("borderLeftWidth"),10)||0)-(parseInt(e(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,i.top+(s?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(e(t).css("borderTopWidth"),10)||0)-(parseInt(e(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,i){i||(i=this.position);var s="absolute"===t?1:-1,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,a=/(html|body)/i.test(n[0].tagName);return{top:i.top+this.offset.relative.top*s+this.offset.parent.top*s-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():a?0:n.scrollTop())*s,left:i.left+this.offset.relative.left*s+this.offset.parent.left*s-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():a?0:n.scrollLeft())*s}},_generatePosition:function(t){var i,s,n=this.options,a=t.pageX,o=t.pageY,r="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&e.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,h=/(html|body)/i.test(r[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(a=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(o=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(a=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(o=this.containment[3]+this.offset.click.top)),n.grid&&(i=this.originalPageY+Math.round((o-this.originalPageY)/n.grid[1])*n.grid[1],o=this.containment?i-this.offset.click.top>=this.containment[1]&&i-this.offset.click.top<=this.containment[3]?i:i-this.offset.click.top>=this.containment[1]?i-n.grid[1]:i+n.grid[1]:i,s=this.originalPageX+Math.round((a-this.originalPageX)/n.grid[0])*n.grid[0],a=this.containment?s-this.offset.click.left>=this.containment[0]&&s-this.offset.click.left<=this.containment[2]?s:s-this.offset.click.left>=this.containment[0]?s-n.grid[0]:s+n.grid[0]:s)),{top:o-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():h?0:r.scrollTop()),left:a-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():h?0:r.scrollLeft())}},_rearrange:function(e,t,i,s){i?i[0].appendChild(this.placeholder[0]):t.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?t.item[0]:t.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(e,t){function i(e,t,i){return function(s){i._trigger(e,s,t._uiHash(t))}}this.reverting=!1;var s,n=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(s in this._storedCSS)("auto"===this._storedCSS[s]||"static"===this._storedCSS[s])&&(this._storedCSS[s]="");this.currentItem.css(this._storedCSS).removeClass("ui-sortable-helper")}else this.currentItem.show();for(this.fromOutside&&!t&&n.push(function(e){this._trigger("receive",e,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||t||n.push(function(e){this._trigger("update",e,this._uiHash())}),this!==this.currentContainer&&(t||(n.push(function(e){this._trigger("remove",e,this._uiHash())}),n.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),n.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),s=this.containers.length-1;s>=0;s--)t||n.push(i("deactivate",this,this.containers[s])),this.containers[s].containerCache.over&&(n.push(i("out",this,this.containers[s])),this.containers[s].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,t||this._trigger("beforeStop",e,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!t){for(s=0;n.length>s;s++)n[s].call(this,e);this._trigger("stop",e,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){e.Widget.prototype._trigger.apply(this,arguments)===!1&&this.cancel()},_uiHash:function(t){var i=t||this;return{helper:i.helper,placeholder:i.placeholder||e([]),position:i.position,originalPosition:i.originalPosition,offset:i.positionAbs,item:i.currentItem,sender:t?t.element:null}}}),e.widget("ui.accordion",{version:"1.11.4",options:{active:0,animate:{},collapsible:!1,event:"click",header:"> li > :first-child,> :not(li):even",heightStyle:"auto",icons:{activeHeader:"ui-icon-triangle-1-s",header:"ui-icon-triangle-1-e"},activate:null,beforeActivate:null},hideProps:{borderTopWidth:"hide",borderBottomWidth:"hide",paddingTop:"hide",paddingBottom:"hide",height:"hide"},showProps:{borderTopWidth:"show",borderBottomWidth:"show",paddingTop:"show",paddingBottom:"show",height:"show"},_create:function(){var t=this.options;this.prevShow=this.prevHide=e(),this.element.addClass("ui-accordion ui-widget ui-helper-reset").attr("role","tablist"),t.collapsible||t.active!==!1&&null!=t.active||(t.active=0),this._processPanels(),0>t.active&&(t.active+=this.headers.length),this._refresh()},_getCreateEventData:function(){return{header:this.active,panel:this.active.length?this.active.next():e()}},_createIcons:function(){var t=this.options.icons;t&&(e("<span>").addClass("ui-accordion-header-icon ui-icon "+t.header).prependTo(this.headers),this.active.children(".ui-accordion-header-icon").removeClass(t.header).addClass(t.activeHeader),this.headers.addClass("ui-accordion-icons"))},_destroyIcons:function(){this.headers.removeClass("ui-accordion-icons").children(".ui-accordion-header-icon").remove()},_destroy:function(){var e;this.element.removeClass("ui-accordion ui-widget ui-helper-reset").removeAttr("role"),this.headers.removeClass("ui-accordion-header ui-accordion-header-active ui-state-default ui-corner-all ui-state-active ui-state-disabled ui-corner-top").removeAttr("role").removeAttr("aria-expanded").removeAttr("aria-selected").removeAttr("aria-controls").removeAttr("tabIndex").removeUniqueId(),this._destroyIcons(),e=this.headers.next().removeClass("ui-helper-reset ui-widget-content ui-corner-bottom ui-accordion-content ui-accordion-content-active ui-state-disabled").css("display","").removeAttr("role").removeAttr("aria-hidden").removeAttr("aria-labelledby").removeUniqueId(),"content"!==this.options.heightStyle&&e.css("height","")},_setOption:function(e,t){return"active"===e?(this._activate(t),void 0):("event"===e&&(this.options.event&&this._off(this.headers,this.options.event),this._setupEvents(t)),this._super(e,t),"collapsible"!==e||t||this.options.active!==!1||this._activate(0),"icons"===e&&(this._destroyIcons(),t&&this._createIcons()),"disabled"===e&&(this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this.headers.add(this.headers.next()).toggleClass("ui-state-disabled",!!t)),void 0)},_keydown:function(t){if(!t.altKey&&!t.ctrlKey){var i=e.ui.keyCode,s=this.headers.length,n=this.headers.index(t.target),a=!1;switch(t.keyCode){case i.RIGHT:case i.DOWN:a=this.headers[(n+1)%s];break;case i.LEFT:case i.UP:a=this.headers[(n-1+s)%s];break;case i.SPACE:case i.ENTER:this._eventHandler(t);break;case i.HOME:a=this.headers[0];break;case i.END:a=this.headers[s-1]}a&&(e(t.target).attr("tabIndex",-1),e(a).attr("tabIndex",0),a.focus(),t.preventDefault())}},_panelKeyDown:function(t){t.keyCode===e.ui.keyCode.UP&&t.ctrlKey&&e(t.currentTarget).prev().focus()},refresh:function(){var t=this.options;this._processPanels(),t.active===!1&&t.collapsible===!0||!this.headers.length?(t.active=!1,this.active=e()):t.active===!1?this._activate(0):this.active.length&&!e.contains(this.element[0],this.active[0])?this.headers.length===this.headers.find(".ui-state-disabled").length?(t.active=!1,this.active=e()):this._activate(Math.max(0,t.active-1)):t.active=this.headers.index(this.active),this._destroyIcons(),this._refresh()},_processPanels:function(){var e=this.headers,t=this.panels;this.headers=this.element.find(this.options.header).addClass("ui-accordion-header ui-state-default ui-corner-all"),this.panels=this.headers.next().addClass("ui-accordion-content ui-helper-reset ui-widget-content ui-corner-bottom").filter(":not(.ui-accordion-content-active)").hide(),t&&(this._off(e.not(this.headers)),this._off(t.not(this.panels)))},_refresh:function(){var t,i=this.options,s=i.heightStyle,n=this.element.parent();this.active=this._findActive(i.active).addClass("ui-accordion-header-active ui-state-active ui-corner-top").removeClass("ui-corner-all"),this.active.next().addClass("ui-accordion-content-active").show(),this.headers.attr("role","tab").each(function(){var t=e(this),i=t.uniqueId().attr("id"),s=t.next(),n=s.uniqueId().attr("id");t.attr("aria-controls",n),s.attr("aria-labelledby",i)}).next().attr("role","tabpanel"),this.headers.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}).next().attr({"aria-hidden":"true"}).hide(),this.active.length?this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}).next().attr({"aria-hidden":"false"}):this.headers.eq(0).attr("tabIndex",0),this._createIcons(),this._setupEvents(i.event),"fill"===s?(t=n.height(),this.element.siblings(":visible").each(function(){var i=e(this),s=i.css("position");"absolute"!==s&&"fixed"!==s&&(t-=i.outerHeight(!0))}),this.headers.each(function(){t-=e(this).outerHeight(!0)}),this.headers.next().each(function(){e(this).height(Math.max(0,t-e(this).innerHeight()+e(this).height()))}).css("overflow","auto")):"auto"===s&&(t=0,this.headers.next().each(function(){t=Math.max(t,e(this).css("height","").height())}).height(t))},_activate:function(t){var i=this._findActive(t)[0];i!==this.active[0]&&(i=i||this.active[0],this._eventHandler({target:i,currentTarget:i,preventDefault:e.noop}))},_findActive:function(t){return"number"==typeof t?this.headers.eq(t):e()},_setupEvents:function(t){var i={keydown:"_keydown"};t&&e.each(t.split(" "),function(e,t){i[t]="_eventHandler"}),this._off(this.headers.add(this.headers.next())),this._on(this.headers,i),this._on(this.headers.next(),{keydown:"_panelKeyDown"}),this._hoverable(this.headers),this._focusable(this.headers)},_eventHandler:function(t){var i=this.options,s=this.active,n=e(t.currentTarget),a=n[0]===s[0],o=a&&i.collapsible,r=o?e():n.next(),h=s.next(),l={oldHeader:s,oldPanel:h,newHeader:o?e():n,newPanel:r};
+t.preventDefault(),a&&!i.collapsible||this._trigger("beforeActivate",t,l)===!1||(i.active=o?!1:this.headers.index(n),this.active=a?e():n,this._toggle(l),s.removeClass("ui-accordion-header-active ui-state-active"),i.icons&&s.children(".ui-accordion-header-icon").removeClass(i.icons.activeHeader).addClass(i.icons.header),a||(n.removeClass("ui-corner-all").addClass("ui-accordion-header-active ui-state-active ui-corner-top"),i.icons&&n.children(".ui-accordion-header-icon").removeClass(i.icons.header).addClass(i.icons.activeHeader),n.next().addClass("ui-accordion-content-active")))},_toggle:function(t){var i=t.newPanel,s=this.prevShow.length?this.prevShow:t.oldPanel;this.prevShow.add(this.prevHide).stop(!0,!0),this.prevShow=i,this.prevHide=s,this.options.animate?this._animate(i,s,t):(s.hide(),i.show(),this._toggleComplete(t)),s.attr({"aria-hidden":"true"}),s.prev().attr({"aria-selected":"false","aria-expanded":"false"}),i.length&&s.length?s.prev().attr({tabIndex:-1,"aria-expanded":"false"}):i.length&&this.headers.filter(function(){return 0===parseInt(e(this).attr("tabIndex"),10)}).attr("tabIndex",-1),i.attr("aria-hidden","false").prev().attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_animate:function(e,t,i){var s,n,a,o=this,r=0,h=e.css("box-sizing"),l=e.length&&(!t.length||e.index()<t.index()),u=this.options.animate||{},d=l&&u.down||u,c=function(){o._toggleComplete(i)};return"number"==typeof d&&(a=d),"string"==typeof d&&(n=d),n=n||d.easing||u.easing,a=a||d.duration||u.duration,t.length?e.length?(s=e.show().outerHeight(),t.animate(this.hideProps,{duration:a,easing:n,step:function(e,t){t.now=Math.round(e)}}),e.hide().animate(this.showProps,{duration:a,easing:n,complete:c,step:function(e,i){i.now=Math.round(e),"height"!==i.prop?"content-box"===h&&(r+=i.now):"content"!==o.options.heightStyle&&(i.now=Math.round(s-t.outerHeight()-r),r=0)}}),void 0):t.animate(this.hideProps,a,n,c):e.animate(this.showProps,a,n,c)},_toggleComplete:function(e){var t=e.oldPanel;t.removeClass("ui-accordion-content-active").prev().removeClass("ui-corner-top").addClass("ui-corner-all"),t.length&&(t.parent()[0].className=t.parent()[0].className),this._trigger("activate",null,e)}}),e.widget("ui.menu",{version:"1.11.4",defaultElement:"<ul>",delay:300,options:{icons:{submenu:"ui-icon-carat-1-e"},items:"> *",menus:"ul",position:{my:"left-1 top",at:"right top"},role:"menu",blur:null,focus:null,select:null},_create:function(){this.activeMenu=this.element,this.mouseHandled=!1,this.element.uniqueId().addClass("ui-menu ui-widget ui-widget-content").toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length).attr({role:this.options.role,tabIndex:0}),this.options.disabled&&this.element.addClass("ui-state-disabled").attr("aria-disabled","true"),this._on({"mousedown .ui-menu-item":function(e){e.preventDefault()},"click .ui-menu-item":function(t){var i=e(t.target);!this.mouseHandled&&i.not(".ui-state-disabled").length&&(this.select(t),t.isPropagationStopped()||(this.mouseHandled=!0),i.has(".ui-menu").length?this.expand(t):!this.element.is(":focus")&&e(this.document[0].activeElement).closest(".ui-menu").length&&(this.element.trigger("focus",[!0]),this.active&&1===this.active.parents(".ui-menu").length&&clearTimeout(this.timer)))},"mouseenter .ui-menu-item":function(t){if(!this.previousFilter){var i=e(t.currentTarget);i.siblings(".ui-state-active").removeClass("ui-state-active"),this.focus(t,i)}},mouseleave:"collapseAll","mouseleave .ui-menu":"collapseAll",focus:function(e,t){var i=this.active||this.element.find(this.options.items).eq(0);t||this.focus(e,i)},blur:function(t){this._delay(function(){e.contains(this.element[0],this.document[0].activeElement)||this.collapseAll(t)})},keydown:"_keydown"}),this.refresh(),this._on(this.document,{click:function(e){this._closeOnDocumentClick(e)&&this.collapseAll(e),this.mouseHandled=!1}})},_destroy:function(){this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeClass("ui-menu ui-widget ui-widget-content ui-menu-icons ui-front").removeAttr("role").removeAttr("tabIndex").removeAttr("aria-labelledby").removeAttr("aria-expanded").removeAttr("aria-hidden").removeAttr("aria-disabled").removeUniqueId().show(),this.element.find(".ui-menu-item").removeClass("ui-menu-item").removeAttr("role").removeAttr("aria-disabled").removeUniqueId().removeClass("ui-state-hover").removeAttr("tabIndex").removeAttr("role").removeAttr("aria-haspopup").children().each(function(){var t=e(this);t.data("ui-menu-submenu-carat")&&t.remove()}),this.element.find(".ui-menu-divider").removeClass("ui-menu-divider ui-widget-content")},_keydown:function(t){var i,s,n,a,o=!0;switch(t.keyCode){case e.ui.keyCode.PAGE_UP:this.previousPage(t);break;case e.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case e.ui.keyCode.HOME:this._move("first","first",t);break;case e.ui.keyCode.END:this._move("last","last",t);break;case e.ui.keyCode.UP:this.previous(t);break;case e.ui.keyCode.DOWN:this.next(t);break;case e.ui.keyCode.LEFT:this.collapse(t);break;case e.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case e.ui.keyCode.ENTER:case e.ui.keyCode.SPACE:this._activate(t);break;case e.ui.keyCode.ESCAPE:this.collapse(t);break;default:o=!1,s=this.previousFilter||"",n=String.fromCharCode(t.keyCode),a=!1,clearTimeout(this.filterTimer),n===s?a=!0:n=s+n,i=this._filterMenuItems(n),i=a&&-1!==i.index(this.active.next())?this.active.nextAll(".ui-menu-item"):i,i.length||(n=String.fromCharCode(t.keyCode),i=this._filterMenuItems(n)),i.length?(this.focus(t,i),this.previousFilter=n,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}o&&t.preventDefault()},_activate:function(e){this.active.is(".ui-state-disabled")||(this.active.is("[aria-haspopup='true']")?this.expand(e):this.select(e))},refresh:function(){var t,i,s=this,n=this.options.icons.submenu,a=this.element.find(this.options.menus);this.element.toggleClass("ui-menu-icons",!!this.element.find(".ui-icon").length),a.filter(":not(.ui-menu)").addClass("ui-menu ui-widget ui-widget-content ui-front").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=e(this),i=t.parent(),s=e("<span>").addClass("ui-menu-icon ui-icon "+n).data("ui-menu-submenu-carat",!0);i.attr("aria-haspopup","true").prepend(s),t.attr("aria-labelledby",i.attr("id"))}),t=a.add(this.element),i=t.find(this.options.items),i.not(".ui-menu-item").each(function(){var t=e(this);s._isDivider(t)&&t.addClass("ui-widget-content ui-menu-divider")}),i.not(".ui-menu-item, .ui-menu-divider").addClass("ui-menu-item").uniqueId().attr({tabIndex:-1,role:this._itemRole()}),i.filter(".ui-state-disabled").attr("aria-disabled","true"),this.active&&!e.contains(this.element[0],this.active[0])&&this.blur()},_itemRole:function(){return{menu:"menuitem",listbox:"option"}[this.options.role]},_setOption:function(e,t){"icons"===e&&this.element.find(".ui-menu-icon").removeClass(this.options.icons.submenu).addClass(t.submenu),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},focus:function(e,t){var i,s;this.blur(e,e&&"focus"===e.type),this._scrollIntoView(t),this.active=t.first(),s=this.active.addClass("ui-state-focus").removeClass("ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",s.attr("id")),this.active.parent().closest(".ui-menu-item").addClass("ui-state-active"),e&&"keydown"===e.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),i=t.children(".ui-menu"),i.length&&e&&/^mouse/.test(e.type)&&this._startOpening(i),this.activeMenu=t.parent(),this._trigger("focus",e,{item:t})},_scrollIntoView:function(t){var i,s,n,a,o,r;this._hasScroll()&&(i=parseFloat(e.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(e.css(this.activeMenu[0],"paddingTop"))||0,n=t.offset().top-this.activeMenu.offset().top-i-s,a=this.activeMenu.scrollTop(),o=this.activeMenu.height(),r=t.outerHeight(),0>n?this.activeMenu.scrollTop(a+n):n+r>o&&this.activeMenu.scrollTop(a+n-o+r))},blur:function(e,t){t||clearTimeout(this.timer),this.active&&(this.active.removeClass("ui-state-focus"),this.active=null,this._trigger("blur",e,{item:this.active}))},_startOpening:function(e){clearTimeout(this.timer),"true"===e.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(e)},this.delay))},_open:function(t){var i=e.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(i)},collapseAll:function(t,i){clearTimeout(this.timer),this.timer=this._delay(function(){var s=i?this.element:e(t&&t.target).closest(this.element.find(".ui-menu"));s.length||(s=this.element),this._close(s),this.blur(t),this.activeMenu=s},this.delay)},_close:function(e){e||(e=this.active?this.active.parent():this.element),e.find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false").end().find(".ui-state-active").not(".ui-state-focus").removeClass("ui-state-active")},_closeOnDocumentClick:function(t){return!e(t.target).closest(".ui-menu").length},_isDivider:function(e){return!/[^\-\u2014\u2013\s]/.test(e.text())},collapse:function(e){var t=this.active&&this.active.parent().closest(".ui-menu-item",this.element);t&&t.length&&(this._close(),this.focus(e,t))},expand:function(e){var t=this.active&&this.active.children(".ui-menu ").find(this.options.items).first();t&&t.length&&(this._open(t.parent()),this._delay(function(){this.focus(e,t)}))},next:function(e){this._move("next","first",e)},previous:function(e){this._move("prev","last",e)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_move:function(e,t,i){var s;this.active&&(s="first"===e||"last"===e?this.active["first"===e?"prevAll":"nextAll"](".ui-menu-item").eq(-1):this.active[e+"All"](".ui-menu-item").eq(0)),s&&s.length&&this.active||(s=this.activeMenu.find(this.options.items)[t]()),this.focus(i,s)},nextPage:function(t){var i,s,n;return this.active?(this.isLastItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.nextAll(".ui-menu-item").each(function(){return i=e(this),0>i.offset().top-s-n}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items)[this.active?"last":"first"]())),void 0):(this.next(t),void 0)},previousPage:function(t){var i,s,n;return this.active?(this.isFirstItem()||(this._hasScroll()?(s=this.active.offset().top,n=this.element.height(),this.active.prevAll(".ui-menu-item").each(function(){return i=e(this),i.offset().top-s+n>0}),this.focus(t,i)):this.focus(t,this.activeMenu.find(this.options.items).first())),void 0):(this.next(t),void 0)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||e(t.target).closest(".ui-menu-item");var i={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,i)},_filterMenuItems:function(t){var i=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),s=RegExp("^"+i,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return s.test(e.trim(e(this).text()))})}}),e.widget("ui.autocomplete",{version:"1.11.4",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,_create:function(){var t,i,s,n=this.element[0].nodeName.toLowerCase(),a="textarea"===n,o="input"===n;this.isMultiLine=a?!0:o?!1:this.element.prop("isContentEditable"),this.valueMethod=this.element[a||o?"val":"text"],this.isNewMenu=!0,this.element.addClass("ui-autocomplete-input").attr("autocomplete","off"),this._on(this.element,{keydown:function(n){if(this.element.prop("readOnly"))return t=!0,s=!0,i=!0,void 0;t=!1,s=!1,i=!1;var a=e.ui.keyCode;switch(n.keyCode){case a.PAGE_UP:t=!0,this._move("previousPage",n);break;case a.PAGE_DOWN:t=!0,this._move("nextPage",n);break;case a.UP:t=!0,this._keyEvent("previous",n);break;case a.DOWN:t=!0,this._keyEvent("next",n);break;case a.ENTER:this.menu.active&&(t=!0,n.preventDefault(),this.menu.select(n));break;case a.TAB:this.menu.active&&this.menu.select(n);break;case a.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(n),n.preventDefault());break;default:i=!0,this._searchTimeout(n)}},keypress:function(s){if(t)return t=!1,(!this.isMultiLine||this.menu.element.is(":visible"))&&s.preventDefault(),void 0;if(!i){var n=e.ui.keyCode;switch(s.keyCode){case n.PAGE_UP:this._move("previousPage",s);break;case n.PAGE_DOWN:this._move("nextPage",s);break;case n.UP:this._keyEvent("previous",s);break;case n.DOWN:this._keyEvent("next",s)}}},input:function(e){return s?(s=!1,e.preventDefault(),void 0):(this._searchTimeout(e),void 0)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(e){return this.cancelBlur?(delete this.cancelBlur,void 0):(clearTimeout(this.searching),this.close(e),this._change(e),void 0)}}),this._initSource(),this.menu=e("<ul>").addClass("ui-autocomplete ui-front").appendTo(this._appendTo()).menu({role:null}).hide().menu("instance"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault(),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur});var i=this.menu.element[0];e(t.target).closest(".ui-menu-item").length||this._delay(function(){var t=this;this.document.one("mousedown",function(s){s.target===t.element[0]||s.target===i||e.contains(i,s.target)||t.close()})})},menufocus:function(t,i){var s,n;return this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type))?(this.menu.blur(),this.document.one("mousemove",function(){e(t.target).trigger(t.originalEvent)}),void 0):(n=i.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:n})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(n.value),s=i.item.attr("aria-label")||n.value,s&&e.trim(s).length&&(this.liveRegion.children().hide(),e("<div>").text(s).appendTo(this.liveRegion)),void 0)},menuselect:function(e,t){var i=t.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==this.document[0].activeElement&&(this.element.focus(),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",e,{item:i})&&this._value(i.value),this.term=this._value(),this.close(e),this.selectedItem=i}}),this.liveRegion=e("<span>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).addClass("ui-helper-hidden-accessible").appendTo(this.document[0].body),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeClass("ui-autocomplete-input").removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(e,t){this._super(e,t),"source"===e&&this._initSource(),"appendTo"===e&&this.menu.element.appendTo(this._appendTo()),"disabled"===e&&t&&this.xhr&&this.xhr.abort()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_initSource:function(){var t,i,s=this;e.isArray(this.options.source)?(t=this.options.source,this.source=function(i,s){s(e.ui.autocomplete.filter(t,i.term))}):"string"==typeof this.options.source?(i=this.options.source,this.source=function(t,n){s.xhr&&s.xhr.abort(),s.xhr=e.ajax({url:i,data:t,dataType:"json",success:function(e){n(e)},error:function(){n([])}})}):this.source=this.options.source},_searchTimeout:function(e){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),i=this.menu.element.is(":visible"),s=e.altKey||e.ctrlKey||e.metaKey||e.shiftKey;(!t||t&&!i&&!s)&&(this.selectedItem=null,this.search(null,e))},this.options.delay)},search:function(e,t){return e=null!=e?e:this._value(),this.term=this._value(),e.length<this.options.minLength?this.close(t):this._trigger("search",t)!==!1?this._search(e):void 0},_search:function(e){this.pending++,this.element.addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:e},this._response())},_response:function(){var t=++this.requestIndex;return e.proxy(function(e){t===this.requestIndex&&this.__response(e),this.pending--,this.pending||this.element.removeClass("ui-autocomplete-loading")},this)},__response:function(e){e&&(e=this._normalize(e)),this._trigger("response",null,{content:e}),!this.options.disabled&&e&&e.length&&!this.cancelSearch?(this._suggest(e),this._trigger("open")):this._close()},close:function(e){this.cancelSearch=!0,this._close(e)},_close:function(e){this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",e))},_change:function(e){this.previous!==this._value()&&this._trigger("change",e,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:e.map(t,function(t){return"string"==typeof t?{label:t,value:t}:e.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var i=this.menu.element.empty();this._renderMenu(i,t),this.isNewMenu=!0,this.menu.refresh(),i.show(),this._resizeMenu(),i.position(e.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next()},_resizeMenu:function(){var e=this.menu.element;e.outerWidth(Math.max(e.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(t,i){var s=this;e.each(i,function(e,i){s._renderItemData(t,i)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-autocomplete-item",t)},_renderItem:function(t,i){return e("<li>").text(i.label).appendTo(t)},_move:function(e,t){return this.menu.element.is(":visible")?this.menu.isFirstItem()&&/^previous/.test(e)||this.menu.isLastItem()&&/^next/.test(e)?(this.isMultiLine||this._value(this.term),this.menu.blur(),void 0):(this.menu[e](t),void 0):(this.search(null,t),void 0)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(e,t){(!this.isMultiLine||this.menu.element.is(":visible"))&&(this._move(e,t),t.preventDefault())}}),e.extend(e.ui.autocomplete,{escapeRegex:function(e){return e.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,i){var s=RegExp(e.ui.autocomplete.escapeRegex(i),"i");return e.grep(t,function(e){return s.test(e.label||e.value||e)})}}),e.widget("ui.autocomplete",e.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(e){return e+(e>1?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var i;this._superApply(arguments),this.options.disabled||this.cancelSearch||(i=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,this.liveRegion.children().hide(),e("<div>").text(i).appendTo(this.liveRegion))}}),e.ui.autocomplete;var r,h="ui-button ui-widget ui-state-default ui-corner-all",l="ui-button-icons-only ui-button-icon-only ui-button-text-icons ui-button-text-icon-primary ui-button-text-icon-secondary ui-button-text-only",u=function(){var t=e(this);setTimeout(function(){t.find(":ui-button").button("refresh")},1)},d=function(t){var i=t.name,s=t.form,n=e([]);return i&&(i=i.replace(/'/g,"\\'"),n=s?e(s).find("[name='"+i+"'][type=radio]"):e("[name='"+i+"'][type=radio]",t.ownerDocument).filter(function(){return!this.form})),n};e.widget("ui.button",{version:"1.11.4",defaultElement:"<button>",options:{disabled:null,text:!0,label:null,icons:{primary:null,secondary:null}},_create:function(){this.element.closest("form").unbind("reset"+this.eventNamespace).bind("reset"+this.eventNamespace,u),"boolean"!=typeof this.options.disabled?this.options.disabled=!!this.element.prop("disabled"):this.element.prop("disabled",this.options.disabled),this._determineButtonType(),this.hasTitle=!!this.buttonElement.attr("title");var t=this,i=this.options,s="checkbox"===this.type||"radio"===this.type,n=s?"":"ui-state-active";null===i.label&&(i.label="input"===this.type?this.buttonElement.val():this.buttonElement.html()),this._hoverable(this.buttonElement),this.buttonElement.addClass(h).attr("role","button").bind("mouseenter"+this.eventNamespace,function(){i.disabled||this===r&&e(this).addClass("ui-state-active")}).bind("mouseleave"+this.eventNamespace,function(){i.disabled||e(this).removeClass(n)}).bind("click"+this.eventNamespace,function(e){i.disabled&&(e.preventDefault(),e.stopImmediatePropagation())}),this._on({focus:function(){this.buttonElement.addClass("ui-state-focus")},blur:function(){this.buttonElement.removeClass("ui-state-focus")}}),s&&this.element.bind("change"+this.eventNamespace,function(){t.refresh()}),"checkbox"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){return i.disabled?!1:void 0}):"radio"===this.type?this.buttonElement.bind("click"+this.eventNamespace,function(){if(i.disabled)return!1;e(this).addClass("ui-state-active"),t.buttonElement.attr("aria-pressed","true");var s=t.element[0];d(s).not(s).map(function(){return e(this).button("widget")[0]}).removeClass("ui-state-active").attr("aria-pressed","false")}):(this.buttonElement.bind("mousedown"+this.eventNamespace,function(){return i.disabled?!1:(e(this).addClass("ui-state-active"),r=this,t.document.one("mouseup",function(){r=null}),void 0)}).bind("mouseup"+this.eventNamespace,function(){return i.disabled?!1:(e(this).removeClass("ui-state-active"),void 0)}).bind("keydown"+this.eventNamespace,function(t){return i.disabled?!1:((t.keyCode===e.ui.keyCode.SPACE||t.keyCode===e.ui.keyCode.ENTER)&&e(this).addClass("ui-state-active"),void 0)}).bind("keyup"+this.eventNamespace+" blur"+this.eventNamespace,function(){e(this).removeClass("ui-state-active")}),this.buttonElement.is("a")&&this.buttonElement.keyup(function(t){t.keyCode===e.ui.keyCode.SPACE&&e(this).click()})),this._setOption("disabled",i.disabled),this._resetButton()},_determineButtonType:function(){var e,t,i;this.type=this.element.is("[type=checkbox]")?"checkbox":this.element.is("[type=radio]")?"radio":this.element.is("input")?"input":"button","checkbox"===this.type||"radio"===this.type?(e=this.element.parents().last(),t="label[for='"+this.element.attr("id")+"']",this.buttonElement=e.find(t),this.buttonElement.length||(e=e.length?e.siblings():this.element.siblings(),this.buttonElement=e.filter(t),this.buttonElement.length||(this.buttonElement=e.find(t))),this.element.addClass("ui-helper-hidden-accessible"),i=this.element.is(":checked"),i&&this.buttonElement.addClass("ui-state-active"),this.buttonElement.prop("aria-pressed",i)):this.buttonElement=this.element},widget:function(){return this.buttonElement},_destroy:function(){this.element.removeClass("ui-helper-hidden-accessible"),this.buttonElement.removeClass(h+" ui-state-active "+l).removeAttr("role").removeAttr("aria-pressed").html(this.buttonElement.find(".ui-button-text").html()),this.hasTitle||this.buttonElement.removeAttr("title")},_setOption:function(e,t){return this._super(e,t),"disabled"===e?(this.widget().toggleClass("ui-state-disabled",!!t),this.element.prop("disabled",!!t),t&&("checkbox"===this.type||"radio"===this.type?this.buttonElement.removeClass("ui-state-focus"):this.buttonElement.removeClass("ui-state-focus ui-state-active")),void 0):(this._resetButton(),void 0)},refresh:function(){var t=this.element.is("input, button")?this.element.is(":disabled"):this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOption("disabled",t),"radio"===this.type?d(this.element[0]).each(function(){e(this).is(":checked")?e(this).button("widget").addClass("ui-state-active").attr("aria-pressed","true"):e(this).button("widget").removeClass("ui-state-active").attr("aria-pressed","false")}):"checkbox"===this.type&&(this.element.is(":checked")?this.buttonElement.addClass("ui-state-active").attr("aria-pressed","true"):this.buttonElement.removeClass("ui-state-active").attr("aria-pressed","false"))},_resetButton:function(){if("input"===this.type)return this.options.label&&this.element.val(this.options.label),void 0;var t=this.buttonElement.removeClass(l),i=e("<span></span>",this.document[0]).addClass("ui-button-text").html(this.options.label).appendTo(t.empty()).text(),s=this.options.icons,n=s.primary&&s.secondary,a=[];s.primary||s.secondary?(this.options.text&&a.push("ui-button-text-icon"+(n?"s":s.primary?"-primary":"-secondary")),s.primary&&t.prepend("<span class='ui-button-icon-primary ui-icon "+s.primary+"'></span>"),s.secondary&&t.append("<span class='ui-button-icon-secondary ui-icon "+s.secondary+"'></span>"),this.options.text||(a.push(n?"ui-button-icons-only":"ui-button-icon-only"),this.hasTitle||t.attr("title",e.trim(i)))):a.push("ui-button-text-only"),t.addClass(a.join(" "))}}),e.widget("ui.buttonset",{version:"1.11.4",options:{items:"button, input[type=button], input[type=submit], input[type=reset], input[type=checkbox], input[type=radio], a, :data(ui-button)"},_create:function(){this.element.addClass("ui-buttonset")},_init:function(){this.refresh()},_setOption:function(e,t){"disabled"===e&&this.buttons.button("option",e,t),this._super(e,t)},refresh:function(){var t="rtl"===this.element.css("direction"),i=this.element.find(this.options.items),s=i.filter(":ui-button");i.not(":ui-button").button(),s.button("refresh"),this.buttons=i.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-all ui-corner-left ui-corner-right").filter(":first").addClass(t?"ui-corner-right":"ui-corner-left").end().filter(":last").addClass(t?"ui-corner-left":"ui-corner-right").end().end()},_destroy:function(){this.element.removeClass("ui-buttonset"),this.buttons.map(function(){return e(this).button("widget")[0]}).removeClass("ui-corner-left ui-corner-right").end().button("destroy")}}),e.ui.button,e.widget("ui.dialog",{version:"1.11.4",options:{appendTo:"body",autoOpen:!0,buttons:[],closeOnEscape:!0,closeText:"Close",dialogClass:"",draggable:!0,hide:null,height:"auto",maxHeight:null,maxWidth:null,minHeight:150,minWidth:150,modal:!1,position:{my:"center",at:"center",of:window,collision:"fit",using:function(t){var i=e(this).css(t).offset().top;0>i&&e(this).css("top",t.top-i)}},resizable:!0,show:null,title:null,width:300,beforeClose:null,close:null,drag:null,dragStart:null,dragStop:null,focus:null,open:null,resize:null,resizeStart:null,resizeStop:null},sizeRelatedOptions:{buttons:!0,height:!0,maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0,width:!0},resizableRelatedOptions:{maxHeight:!0,maxWidth:!0,minHeight:!0,minWidth:!0},_create:function(){this.originalCss={display:this.element[0].style.display,width:this.element[0].style.width,minHeight:this.element[0].style.minHeight,maxHeight:this.element[0].style.maxHeight,height:this.element[0].style.height},this.originalPosition={parent:this.element.parent(),index:this.element.parent().children().index(this.element)},this.originalTitle=this.element.attr("title"),this.options.title=this.options.title||this.originalTitle,this._createWrapper(),this.element.show().removeAttr("title").addClass("ui-dialog-content ui-widget-content").appendTo(this.uiDialog),this._createTitlebar(),this._createButtonPane(),this.options.draggable&&e.fn.draggable&&this._makeDraggable(),this.options.resizable&&e.fn.resizable&&this._makeResizable(),this._isOpen=!1,this._trackFocus()},_init:function(){this.options.autoOpen&&this.open()},_appendTo:function(){var t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?e(t):this.document.find(t||"body").eq(0)},_destroy:function(){var e,t=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().removeClass("ui-dialog-content ui-widget-content").css(this.originalCss).detach(),this.uiDialog.stop(!0,!0).remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),e=t.parent.children().eq(t.index),e.length&&e[0]!==this.element[0]?e.before(this.element):t.parent.append(this.element)},widget:function(){return this.uiDialog},disable:e.noop,enable:e.noop,close:function(t){var i,s=this;if(this._isOpen&&this._trigger("beforeClose",t)!==!1){if(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),!this.opener.filter(":focusable").focus().length)try{i=this.document[0].activeElement,i&&"body"!==i.nodeName.toLowerCase()&&e(i).blur()}catch(n){}this._hide(this.uiDialog,this.options.hide,function(){s._trigger("close",t)})}},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,i){var s=!1,n=this.uiDialog.siblings(".ui-front:visible").map(function(){return+e(this).css("z-index")}).get(),a=Math.max.apply(null,n);return a>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",a+1),s=!0),s&&!i&&this._trigger("focus",t),s},open:function(){var t=this;return this._isOpen?(this._moveToTop()&&this._focusTabbable(),void 0):(this._isOpen=!0,this.opener=e(this.document[0].activeElement),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"),void 0)},_focusTabbable:function(){var e=this._focusedElement;e||(e=this.element.find("[autofocus]")),e.length||(e=this.element.find(":tabbable")),e.length||(e=this.uiDialogButtonPane.find(":tabbable")),e.length||(e=this.uiDialogTitlebarClose.filter(":tabbable")),e.length||(e=this.uiDialog),e.eq(0).focus()},_keepFocus:function(t){function i(){var t=this.document[0].activeElement,i=this.uiDialog[0]===t||e.contains(this.uiDialog[0],t);i||this._focusTabbable()}t.preventDefault(),i.call(this),this._delay(i)},_createWrapper:function(){this.uiDialog=e("<div>").addClass("ui-dialog ui-widget ui-widget-content ui-corner-all ui-front "+this.options.dialogClass).hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===e.ui.keyCode.ESCAPE)return t.preventDefault(),this.close(t),void 0;if(t.keyCode===e.ui.keyCode.TAB&&!t.isDefaultPrevented()){var i=this.uiDialog.find(":tabbable"),s=i.filter(":first"),n=i.filter(":last");t.target!==n[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==s[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){n.focus()}),t.preventDefault()):(this._delay(function(){s.focus()}),t.preventDefault())}},mousedown:function(e){this._moveToTop(e)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=e("<div>").addClass("ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix").prependTo(this.uiDialog),this._on(this.uiDialogTitlebar,{mousedown:function(t){e(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.focus()}}),this.uiDialogTitlebarClose=e("<button type='button'></button>").button({label:this.options.closeText,icons:{primary:"ui-icon-closethick"},text:!1}).addClass("ui-dialog-titlebar-close").appendTo(this.uiDialogTitlebar),this._on(this.uiDialogTitlebarClose,{click:function(e){e.preventDefault(),this.close(e)}}),t=e("<span>").uniqueId().addClass("ui-dialog-title").prependTo(this.uiDialogTitlebar),this._title(t),this.uiDialog.attr({"aria-labelledby":t.attr("id")})},_title:function(e){this.options.title||e.html("&#160;"),e.text(this.options.title)
+},_createButtonPane:function(){this.uiDialogButtonPane=e("<div>").addClass("ui-dialog-buttonpane ui-widget-content ui-helper-clearfix"),this.uiButtonSet=e("<div>").addClass("ui-dialog-buttonset").appendTo(this.uiDialogButtonPane),this._createButtons()},_createButtons:function(){var t=this,i=this.options.buttons;return this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),e.isEmptyObject(i)||e.isArray(i)&&!i.length?(this.uiDialog.removeClass("ui-dialog-buttons"),void 0):(e.each(i,function(i,s){var n,a;s=e.isFunction(s)?{click:s,text:i}:s,s=e.extend({type:"button"},s),n=s.click,s.click=function(){n.apply(t.element[0],arguments)},a={icons:s.icons,text:s.showText},delete s.icons,delete s.showText,e("<button></button>",s).button(a).appendTo(t.uiButtonSet)}),this.uiDialog.addClass("ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog),void 0)},_makeDraggable:function(){function t(e){return{position:e.position,offset:e.offset}}var i=this,s=this.options;this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(s,n){e(this).addClass("ui-dialog-dragging"),i._blockFrames(),i._trigger("dragStart",s,t(n))},drag:function(e,s){i._trigger("drag",e,t(s))},stop:function(n,a){var o=a.offset.left-i.document.scrollLeft(),r=a.offset.top-i.document.scrollTop();s.position={my:"left top",at:"left"+(o>=0?"+":"")+o+" "+"top"+(r>=0?"+":"")+r,of:i.window},e(this).removeClass("ui-dialog-dragging"),i._unblockFrames(),i._trigger("dragStop",n,t(a))}})},_makeResizable:function(){function t(e){return{originalPosition:e.originalPosition,originalSize:e.originalSize,position:e.position,size:e.size}}var i=this,s=this.options,n=s.resizable,a=this.uiDialog.css("position"),o="string"==typeof n?n:"n,e,s,w,se,sw,ne,nw";this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:s.maxWidth,maxHeight:s.maxHeight,minWidth:s.minWidth,minHeight:this._minHeight(),handles:o,start:function(s,n){e(this).addClass("ui-dialog-resizing"),i._blockFrames(),i._trigger("resizeStart",s,t(n))},resize:function(e,s){i._trigger("resize",e,t(s))},stop:function(n,a){var o=i.uiDialog.offset(),r=o.left-i.document.scrollLeft(),h=o.top-i.document.scrollTop();s.height=i.uiDialog.height(),s.width=i.uiDialog.width(),s.position={my:"left top",at:"left"+(r>=0?"+":"")+r+" "+"top"+(h>=0?"+":"")+h,of:i.window},e(this).removeClass("ui-dialog-resizing"),i._unblockFrames(),i._trigger("resizeStop",n,t(a))}}).css("position",a)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=e(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),i=e.inArray(this,t);-1!==i&&t.splice(i,1)},_trackingInstances:function(){var e=this.document.data("ui-dialog-instances");return e||(e=[],this.document.data("ui-dialog-instances",e)),e},_minHeight:function(){var e=this.options;return"auto"===e.height?e.minHeight:Math.min(e.minHeight,e.height)},_position:function(){var e=this.uiDialog.is(":visible");e||this.uiDialog.show(),this.uiDialog.position(this.options.position),e||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};e.each(t,function(e,t){i._setOption(e,t),e in i.sizeRelatedOptions&&(s=!0),e in i.resizableRelatedOptions&&(n[e]=t)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(e,t){var i,s,n=this.uiDialog;"dialogClass"===e&&n.removeClass(this.options.dialogClass).addClass(t),"disabled"!==e&&(this._super(e,t),"appendTo"===e&&this.uiDialog.appendTo(this._appendTo()),"buttons"===e&&this._createButtons(),"closeText"===e&&this.uiDialogTitlebarClose.button({label:""+t}),"draggable"===e&&(i=n.is(":data(ui-draggable)"),i&&!t&&n.draggable("destroy"),!i&&t&&this._makeDraggable()),"position"===e&&this._position(),"resizable"===e&&(s=n.is(":data(ui-resizable)"),s&&!t&&n.resizable("destroy"),s&&"string"==typeof t&&n.resizable("option","handles",t),s||t===!1||this._makeResizable()),"title"===e&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var e,t,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),e=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),t=Math.max(0,s.minHeight-e),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-e):"none","auto"===s.height?this.element.css({minHeight:t,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-e)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=e(this);return e("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return e(t.target).closest(".ui-dialog").length?!0:!!e(t.target).closest(".ui-datepicker").length},_createOverlay:function(){if(this.options.modal){var t=!0;this._delay(function(){t=!1}),this.document.data("ui-dialog-overlays")||this._on(this.document,{focusin:function(e){t||this._allowInteraction(e)||(e.preventDefault(),this._trackingInstances()[0]._focusTabbable())}}),this.overlay=e("<div>").addClass("ui-widget-overlay ui-front").appendTo(this._appendTo()),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1)}},_destroyOverlay:function(){if(this.options.modal&&this.overlay){var e=this.document.data("ui-dialog-overlays")-1;e?this.document.data("ui-dialog-overlays",e):this.document.unbind("focusin").removeData("ui-dialog-overlays"),this.overlay.remove(),this.overlay=null}}}),e.widget("ui.progressbar",{version:"1.11.4",options:{max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.addClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").attr({role:"progressbar","aria-valuemin":this.min}),this.valueDiv=e("<div class='ui-progressbar-value ui-widget-header ui-corner-left'></div>").appendTo(this.element),this._refreshValue()},_destroy:function(){this.element.removeClass("ui-progressbar ui-widget ui-widget-content ui-corner-all").removeAttr("role").removeAttr("aria-valuemin").removeAttr("aria-valuemax").removeAttr("aria-valuenow"),this.valueDiv.remove()},value:function(e){return void 0===e?this.options.value:(this.options.value=this._constrainedValue(e),this._refreshValue(),void 0)},_constrainedValue:function(e){return void 0===e&&(e=this.options.value),this.indeterminate=e===!1,"number"!=typeof e&&(e=0),this.indeterminate?!1:Math.min(this.options.max,Math.max(this.min,e))},_setOptions:function(e){var t=e.value;delete e.value,this._super(e),this.options.value=this._constrainedValue(t),this._refreshValue()},_setOption:function(e,t){"max"===e&&(t=Math.max(this.min,t)),"disabled"===e&&this.element.toggleClass("ui-state-disabled",!!t).attr("aria-disabled",t),this._super(e,t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,i=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).toggleClass("ui-corner-right",t===this.options.max).width(i.toFixed(0)+"%"),this.element.toggleClass("ui-progressbar-indeterminate",this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=e("<div class='ui-progressbar-overlay'></div>").appendTo(this.valueDiv))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),e.widget("ui.selectmenu",{version:"1.11.4",defaultElement:"<select>",options:{appendTo:null,disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:null,change:null,close:null,focus:null,open:null,select:null},_create:function(){var e=this.element.uniqueId().attr("id");this.ids={element:e,button:e+"-button",menu:e+"-menu"},this._drawButton(),this._drawMenu(),this.options.disabled&&this.disable()},_drawButton:function(){var t=this;this.label=e("label[for='"+this.ids.element+"']").attr("for",this.ids.button),this._on(this.label,{click:function(e){this.button.focus(),e.preventDefault()}}),this.element.hide(),this.button=e("<span>",{"class":"ui-selectmenu-button ui-widget ui-state-default ui-corner-all",tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true"}).insertAfter(this.element),e("<span>",{"class":"ui-icon "+this.options.icons.button}).prependTo(this.button),this.buttonText=e("<span>",{"class":"ui-selectmenu-text"}).appendTo(this.button),this._setText(this.buttonText,this.element.find("option:selected").text()),this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){t.menuItems||t._refreshMenu()}),this._hoverable(this.button),this._focusable(this.button)},_drawMenu:function(){var t=this;this.menu=e("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=e("<div>",{"class":"ui-selectmenu-menu ui-front"}).append(this.menu).appendTo(this._appendTo()),this.menuInstance=this.menu.menu({role:"listbox",select:function(e,i){e.preventDefault(),t._setSelection(),t._select(i.item.data("ui-selectmenu-item"),e)},focus:function(e,i){var s=i.item.data("ui-selectmenu-item");null!=t.focusIndex&&s.index!==t.focusIndex&&(t._trigger("focus",e,{item:s}),t.isOpen||t._select(s,e)),t.focusIndex=s.index,t.button.attr("aria-activedescendant",t.menuItems.eq(s.index).attr("id"))}}).menu("instance"),this.menu.addClass("ui-corner-bottom").removeClass("ui-corner-all"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this._setText(this.buttonText,this._getSelectedItem().text()),this.options.width||this._resizeButton()},_refreshMenu:function(){this.menu.empty();var e,t=this.element.find("option");t.length&&(this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup"),e=this._getSelectedItem(),this.menuInstance.focus(null,e),this._setAria(e.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(e){this.options.disabled||(this.menuItems?(this.menu.find(".ui-state-focus").removeClass("ui-state-focus"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",e))},_position:function(){this.menuWrap.position(e.extend({of:this.button},this.options.position))},close:function(e){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",e))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderMenu:function(t,i){var s=this,n="";e.each(i,function(i,a){a.optgroup!==n&&(e("<li>",{"class":"ui-selectmenu-optgroup ui-menu-divider"+(a.element.parent("optgroup").prop("disabled")?" ui-state-disabled":""),text:a.optgroup}).appendTo(t),n=a.optgroup),s._renderItemData(t,a)})},_renderItemData:function(e,t){return this._renderItem(e,t).data("ui-selectmenu-item",t)},_renderItem:function(t,i){var s=e("<li>");return i.disabled&&s.addClass("ui-state-disabled"),this._setText(s,i.label),s.appendTo(t)},_setText:function(e,t){t?e.text(t):e.html("&#160;")},_move:function(e,t){var i,s,n=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex):(i=this.menuItems.eq(this.element[0].selectedIndex),n+=":not(.ui-state-disabled)"),s="first"===e||"last"===e?i["first"===e?"prevAll":"nextAll"](n).eq(-1):i[e+"All"](n).eq(0),s.length&&this.menuInstance.focus(t,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex)},_toggle:function(e){this[this.isOpen?"close":"open"](e)},_setSelection:function(){var e;this.range&&(window.getSelection?(e=window.getSelection(),e.removeAllRanges(),e.addRange(this.range)):this.range.select(),this.button.focus())},_documentClick:{mousedown:function(t){this.isOpen&&(e(t.target).closest(".ui-selectmenu-menu, #"+this.ids.button).length||this.close(t))}},_buttonEvents:{mousedown:function(){var e;window.getSelection?(e=window.getSelection(),e.rangeCount&&(this.range=e.getRangeAt(0))):this.range=document.selection.createRange()},click:function(e){this._setSelection(),this._toggle(e)},keydown:function(t){var i=!0;switch(t.keyCode){case e.ui.keyCode.TAB:case e.ui.keyCode.ESCAPE:this.close(t),i=!1;break;case e.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case e.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case e.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case e.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case e.ui.keyCode.LEFT:this._move("prev",t);break;case e.ui.keyCode.RIGHT:this._move("next",t);break;case e.ui.keyCode.HOME:case e.ui.keyCode.PAGE_UP:this._move("first",t);break;case e.ui.keyCode.END:case e.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),i=!1}i&&t.preventDefault()}},_selectFocusedItem:function(e){var t=this.menuItems.eq(this.focusIndex);t.hasClass("ui-state-disabled")||this._select(t.data("ui-selectmenu-item"),e)},_select:function(e,t){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=e.index,this._setText(this.buttonText,e.label),this._setAria(e),this._trigger("select",t,{item:e}),e.index!==i&&this._trigger("change",t,{item:e}),this.close(t)},_setAria:function(e){var t=this.menuItems.eq(e.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(e,t){"icons"===e&&this.button.find("span.ui-icon").removeClass(this.options.icons.button).addClass(t.button),this._super(e,t),"appendTo"===e&&this.menuWrap.appendTo(this._appendTo()),"disabled"===e&&(this.menuInstance.option("disabled",t),this.button.toggleClass("ui-state-disabled",t).attr("aria-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)),"width"===e&&this._resizeButton()},_appendTo:function(){var t=this.options.appendTo;return t&&(t=t.jquery||t.nodeType?e(t):this.document.find(t).eq(0)),t&&t[0]||(t=this.element.closest(".ui-front")),t.length||(t=this.document[0].body),t},_toggleAttr:function(){this.button.toggleClass("ui-corner-top",this.isOpen).toggleClass("ui-corner-all",!this.isOpen).attr("aria-expanded",this.isOpen),this.menuWrap.toggleClass("ui-selectmenu-open",this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var e=this.options.width;e||(e=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(e)},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){return{disabled:this.element.prop("disabled")}},_parseOptions:function(t){var i=[];t.each(function(t,s){var n=e(s),a=n.parent("optgroup");i.push({element:n,index:t,value:n.val(),label:n.text(),optgroup:a.attr("label")||"",disabled:a.prop("disabled")||n.prop("disabled")})}),this.items=i},_destroy:function(){this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.label.attr("for",this.ids.element)}}),e.widget("ui.slider",e.ui.mouse,{version:"1.11.4",widgetEventPrefix:"slide",options:{animate:!1,distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this.element.addClass("ui-slider ui-slider-"+this.orientation+" ui-widget"+" ui-widget-content"+" ui-corner-all"),this._refresh(),this._setOption("disabled",this.options.disabled),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,i,s=this.options,n=this.element.find(".ui-slider-handle").addClass("ui-state-default ui-corner-all"),a="<span class='ui-slider-handle ui-state-default ui-corner-all' tabindex='0'></span>",o=[];for(i=s.values&&s.values.length||1,n.length>i&&(n.slice(i).remove(),n=n.slice(0,i)),t=n.length;i>t;t++)o.push(a);this.handles=n.add(e(o.join("")).appendTo(this.element)),this.handle=this.handles.eq(0),this.handles.each(function(t){e(this).data("ui-slider-handle-index",t)})},_createRange:function(){var t=this.options,i="";t.range?(t.range===!0&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:e.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?this.range.removeClass("ui-slider-range-min ui-slider-range-max").css({left:"",bottom:""}):(this.range=e("<div></div>").appendTo(this.element),i="ui-slider-range ui-widget-header ui-corner-all"),this.range.addClass(i+("min"===t.range||"max"===t.range?" ui-slider-range-"+t.range:""))):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this.element.removeClass("ui-slider ui-slider-horizontal ui-slider-vertical ui-widget ui-widget-content ui-corner-all"),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,a,o,r,h,l,u=this,d=this.options;return d.disabled?!1:(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),i={x:t.pageX,y:t.pageY},s=this._normValueFromMouse(i),n=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var i=Math.abs(s-u.values(t));(n>i||n===i&&(t===u._lastChangedValue||u.values(t)===d.min))&&(n=i,a=e(this),o=t)}),r=this._start(t,o),r===!1?!1:(this._mouseSliding=!0,this._handleIndex=o,a.addClass("ui-state-active").focus(),h=a.offset(),l=!e(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=l?{left:0,top:0}:{left:t.pageX-h.left-a.width()/2,top:t.pageY-h.top-a.height()/2-(parseInt(a.css("borderTopWidth"),10)||0)-(parseInt(a.css("borderBottomWidth"),10)||0)+(parseInt(a.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,s),this._animateOff=!0,!0))},_mouseStart:function(){return!0},_mouseDrag:function(e){var t={x:e.pageX,y:e.pageY},i=this._normValueFromMouse(t);return this._slide(e,this._handleIndex,i),!1},_mouseStop:function(e){return this.handles.removeClass("ui-state-active"),this._mouseSliding=!1,this._stop(e,this._handleIndex),this._change(e,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1,!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(e){var t,i,s,n,a;return"horizontal"===this.orientation?(t=this.elementSize.width,i=e.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(t=this.elementSize.height,i=e.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),s=i/t,s>1&&(s=1),0>s&&(s=0),"vertical"===this.orientation&&(s=1-s),n=this._valueMax()-this._valueMin(),a=this._valueMin()+s*n,this._trimAlignValue(a)},_start:function(e,t){var i={handle:this.handles[t],value:this.value()};return this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("start",e,i)},_slide:function(e,t,i){var s,n,a;this.options.values&&this.options.values.length?(s=this.values(t?0:1),2===this.options.values.length&&this.options.range===!0&&(0===t&&i>s||1===t&&s>i)&&(i=s),i!==this.values(t)&&(n=this.values(),n[t]=i,a=this._trigger("slide",e,{handle:this.handles[t],value:i,values:n}),s=this.values(t?0:1),a!==!1&&this.values(t,i))):i!==this.value()&&(a=this._trigger("slide",e,{handle:this.handles[t],value:i}),a!==!1&&this.value(i))},_stop:function(e,t){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._trigger("stop",e,i)},_change:function(e,t){if(!this._keySliding&&!this._mouseSliding){var i={handle:this.handles[t],value:this.value()};this.options.values&&this.options.values.length&&(i.value=this.values(t),i.values=this.values()),this._lastChangedValue=t,this._trigger("change",e,i)}},value:function(e){return arguments.length?(this.options.value=this._trimAlignValue(e),this._refreshValue(),this._change(null,0),void 0):this._value()},values:function(t,i){var s,n,a;if(arguments.length>1)return this.options.values[t]=this._trimAlignValue(i),this._refreshValue(),this._change(null,t),void 0;if(!arguments.length)return this._values();if(!e.isArray(arguments[0]))return this.options.values&&this.options.values.length?this._values(t):this.value();for(s=this.options.values,n=arguments[0],a=0;s.length>a;a+=1)s[a]=this._trimAlignValue(n[a]),this._change(null,a);this._refreshValue()},_setOption:function(t,i){var s,n=0;switch("range"===t&&this.options.range===!0&&("min"===i?(this.options.value=this._values(0),this.options.values=null):"max"===i&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),e.isArray(this.options.values)&&(n=this.options.values.length),"disabled"===t&&this.element.toggleClass("ui-state-disabled",!!i),this._super(t,i),t){case"orientation":this._detectOrientation(),this.element.removeClass("ui-slider-horizontal 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class='ui-effects-transfer'></div>").appendTo(document.body).addClass(t.className).css({top:d.top-r,left:d.left-h,height:s.innerHeight(),width:s.innerWidth(),position:a?"fixed":"absolute"}).animate(u,t.duration,t.easing,function(){c.remove(),i()})}});</script>
+<style type="text/css">
+
+.tocify {
+width: 20%;
+max-height: 90%;
+overflow: auto;
+margin-left: 2%;
+position: fixed;
+border: 1px solid #ccc;
+border-radius: 6px;
+}
+
+.tocify ul, .tocify li {
+list-style: none;
+margin: 0;
+padding: 0;
+border: none;
+line-height: 30px;
+}
+
+.tocify-header {
+text-indent: 10px;
+}
+
+.tocify-subheader {
+text-indent: 20px;
+display: none;
+}
+
+.tocify-subheader li {
+font-size: 12px;
+}
+
+.tocify-subheader .tocify-subheader {
+text-indent: 30px;
+}
+.tocify-subheader .tocify-subheader .tocify-subheader {
+text-indent: 40px;
+}
+.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
+text-indent: 50px;
+}
+.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
+text-indent: 60px;
+}
+
+.tocify .tocify-item > a, .tocify .nav-list .nav-header {
+margin: 0px;
+}
+
+.tocify .tocify-item a, .tocify .list-group-item {
+padding: 5px;
+}
+.tocify .nav-pills > li {
+float: none;
+}
+
+
+</style>
+<script>/* jquery Tocify - v1.9.1 - 2013-10-22
+ * http://www.gregfranko.com/jquery.tocify.js/
+ * Copyright (c) 2013 Greg Franko; Licensed MIT */
+
+// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic.  I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
+(function(tocify) {
+
+    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
+    "use strict";
+
+    // Calls the second IIFE and locally passes in the global jQuery, window, and document objects
+    tocify(window.jQuery, window, document);
+
+  }
+
+  // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable.  The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set.  All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
+  (function($, window, document, undefined) {
+
+    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
+    "use strict";
+
+    var tocClassName = "tocify",
+      tocClass = "." + tocClassName,
+      tocFocusClassName = "tocify-focus",
+      tocHoverClassName = "tocify-hover",
+      hideTocClassName = "tocify-hide",
+      hideTocClass = "." + hideTocClassName,
+      headerClassName = "tocify-header",
+      headerClass = "." + headerClassName,
+      subheaderClassName = "tocify-subheader",
+      subheaderClass = "." + subheaderClassName,
+      itemClassName = "tocify-item",
+      itemClass = "." + itemClassName,
+      extendPageClassName = "tocify-extend-page",
+      extendPageClass = "." + extendPageClassName;
+
+    // Calling the jQueryUI Widget Factory Method
+    $.widget("toc.tocify", {
+
+      //Plugin version
+      version: "1.9.1",
+
+      // These options will be used as defaults
+      options: {
+
+        // **context**: Accepts String: Any jQuery selector
+        // The container element that holds all of the elements used to generate the table of contents
+        context: "body",
+
+        // **ignoreSelector**: Accepts String: Any jQuery selector
+        // A selector to any element that would be matched by selectors that you wish to be ignored
+        ignoreSelector: null,
+
+        // **selectors**: Accepts an Array of Strings: Any jQuery selectors
+        // The element's used to generate the table of contents.  The order is very important since it will determine the table of content's nesting structure
+        selectors: "h1, h2, h3",
+
+        // **showAndHide**: Accepts a boolean: true or false
+        // Used to determine if elements should be shown and hidden
+        showAndHide: true,
+
+        // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
+        // Used to display any of the table of contents nested items
+        showEffect: "slideDown",
+
+        // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
+        // The time duration of the show animation
+        showEffectSpeed: "medium",
+
+        // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
+        // Used to hide any of the table of contents nested items
+        hideEffect: "slideUp",
+
+        // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
+        // The time duration of the hide animation
+        hideEffectSpeed: "medium",
+
+        // **smoothScroll**: Accepts a boolean: true or false
+        // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
+        smoothScroll: true,
+
+        // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
+        // The time duration of the smoothScroll animation
+        smoothScrollSpeed: "medium",
+
+        // **scrollTo**: Accepts Number (pixels)
+        // The amount of space between the top of page and the selected table of contents item after the page has been scrolled
+        scrollTo: 0,
+
+        // **showAndHideOnScroll**: Accepts a boolean: true or false
+        // Determines if table of contents nested items should be shown and hidden while scrolling
+        showAndHideOnScroll: true,
+
+        // **highlightOnScroll**: Accepts a boolean: true or false
+        // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
+        highlightOnScroll: true,
+
+        // **highlightOffset**: Accepts a number
+        // The offset distance in pixels to trigger the next active table of contents item
+        highlightOffset: 40,
+
+        // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
+        // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
+        theme: "bootstrap",
+
+        // **extendPage**: Accepts a boolean: true or false
+        // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
+        extendPage: true,
+
+        // **extendPageOffset**: Accepts a number: pixels
+        // How close to the bottom of the page a user must scroll before the page is extended
+        extendPageOffset: 100,
+
+        // **history**: Accepts a boolean: true or false
+        // Adds a hash to the page url to maintain history
+        history: true,
+
+        // **scrollHistory**: Accepts a boolean: true or false
+        // Adds a hash to the page url, to maintain history, when scrolling to a TOC item
+        scrollHistory: false,
+
+        // **hashGenerator**: How the hash value (the anchor segment of the URL, following the
+        // # character) will be generated.
+        //
+        // "compact" (default) - #CompressesEverythingTogether
+        // "pretty" - #looks-like-a-nice-url-and-is-easily-readable
+        // function(text, element){} - Your own hash generation function that accepts the text as an
+        // argument, and returns the hash value.
+        hashGenerator: "compact",
+
+        // **highlightDefault**: Accepts a boolean: true or false
+        // Set's the first TOC item as active if no other TOC item is active.
+        highlightDefault: true
+
+      },
+
+      // _Create
+      // -------
+      //      Constructs the plugin.  Only called once.
+      _create: function() {
+
+        var self = this;
+
+        self.extendPageScroll = true;
+
+        // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
+        self.items = [];
+
+        // Generates the HTML for the dynamic table of contents
+        self._generateToc();
+
+        // Adds CSS classes to the newly generated table of contents HTML
+        self._addCSSClasses();
+
+        self.webkit = (function() {
+
+          for (var prop in window) {
+
+            if (prop) {
+
+              if (prop.toLowerCase().indexOf("webkit") !== -1) {
+
+                return true;
+
+              }
+
+            }
+
+          }
+
+          return false;
+
+        }());
+
+        // Adds jQuery event handlers to the newly generated table of contents
+        self._setEventHandlers();
+
+        // Binding to the Window load event to make sure the correct scrollTop is calculated
+        $(window).load(function() {
+
+          // Sets the active TOC item
+          self._setActiveElement(true);
+
+          // Once all animations on the page are complete, this callback function will be called
+          $("html, body").promise().done(function() {
+
+            setTimeout(function() {
+
+              self.extendPageScroll = false;
+
+            }, 0);
+
+          });
+
+        });
+
+      },
+
+      // _generateToc
+      // ------------
+      //      Generates the HTML for the dynamic table of contents
+      _generateToc: function() {
+
+        // _Local variables_
+
+        // Stores the plugin context in the self variable
+        var self = this,
+
+          // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
+          firstElem,
+
+          // Instantiated variable that will store the top level newly created unordered list DOM element
+          ul,
+          ignoreSelector = self.options.ignoreSelector;
+
+
+        // Determine the element to start the toc with
+        // get all the top level selectors
+        firstElem = [];
+        var selectors = this.options.selectors.replace(/ /g, "").split(",");
+        // find the first set that have at least one non-ignored element
+        for(var i = 0; i < selectors.length; i++) {
+          var foundSelectors = $(this.options.context).find(selectors[i]);
+          for (var s = 0; s < foundSelectors.length; s++) {
+            if (!$(foundSelectors[s]).is(ignoreSelector)) {
+              firstElem = foundSelectors;
+              break;
+            }
+          }
+          if (firstElem.length> 0)
+            break;
+        }
+
+        if (!firstElem.length) {
+
+          self.element.addClass(hideTocClassName);
+
+          return;
+
+        }
+
+        self.element.addClass(tocClassName);
+
+        // Loops through each top level selector
+        firstElem.each(function(index) {
+
+          //If the element matches the ignoreSelector then we skip it
+          if ($(this).is(ignoreSelector)) {
+            return;
+          }
+
+          // Creates an unordered list HTML element and adds a dynamic ID and standard class name
+          ul = $("<ul/>", {
+            "id": headerClassName + index,
+            "class": headerClassName
+          }).
+
+          // Appends a top level list item HTML element to the previously created HTML header
+          append(self._nestElements($(this), index));
+
+          // Add the created unordered list element to the HTML element calling the plugin
+          self.element.append(ul);
+
+          // Finds all of the HTML tags between the header and subheader elements
+          $(this).nextUntil(this.nodeName.toLowerCase()).each(function() {
+
+            // If there are no nested subheader elemements
+            if ($(this).find(self.options.selectors).length === 0) {
+
+              // Loops through all of the subheader elements
+              $(this).filter(self.options.selectors).each(function() {
+
+                //If the element matches the ignoreSelector then we skip it
+                if ($(this).is(ignoreSelector)) {
+                  return;
+                }
+
+                self._appendSubheaders.call(this, self, ul);
+
+              });
+
+            }
+
+            // If there are nested subheader elements
+            else {
+
+              // Loops through all of the subheader elements
+              $(this).find(self.options.selectors).each(function() {
+
+                //If the element matches the ignoreSelector then we skip it
+                if ($(this).is(ignoreSelector)) {
+                  return;
+                }
+
+                self._appendSubheaders.call(this, self, ul);
+
+              });
+
+            }
+
+          });
+
+        });
+
+      },
+
+      _setActiveElement: function(pageload) {
+
+        var self = this,
+
+          hash = window.location.hash.substring(1),
+
+          elem = self.element.find('li[data-unique="' + hash + '"]');
+
+        if (hash.length) {
+
+          // Removes highlighting from all of the list item's
+          self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+          // Highlights the current list item that was clicked
+          elem.addClass(self.focusClass);
+
+          // Triggers the click event on the currently focused TOC item
+          elem.click();
+
+        } else {
+
+          // Removes highlighting from all of the list item's
+          self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+          if (!hash.length && pageload && self.options.highlightDefault) {
+
+            // Highlights the first TOC item if no other items are highlighted
+            self.element.find(itemClass).first().addClass(self.focusClass);
+
+          }
+
+        }
+
+        return self;
+
+      },
+
+      // _nestElements
+      // -------------
+      //      Helps create the table of contents list by appending nested list items
+      _nestElements: function(self, index) {
+
+        var arr, item, hashValue;
+
+        arr = $.grep(this.items, function(item) {
+
+          return item === self.text();
+
+        });
+
+        // If there is already a duplicate TOC item
+        if (arr.length) {
+
+          // Adds the current TOC item text and index (for slight randomization) to the internal array
+          this.items.push(self.text() + index);
+
+        }
+
+        // If there not a duplicate TOC item
+        else {
+
+          // Adds the current TOC item text to the internal array
+          this.items.push(self.text());
+
+        }
+
+        hashValue = this._generateHashValue(arr, self, index);
+
+        // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
+        item = $("<li/>", {
+
+          // Sets a common class name to the list item
+          "class": itemClassName,
+
+          "data-unique": hashValue
+
+        });
+
+        if (this.options.theme !== "bootstrap3") {
+
+          item.append($("<a/>", {
+
+            "html": self.html()
+
+          }));
+
+        } else {
+
+          item.html(self.html());
+
+        }
+
+        // Adds an HTML anchor tag before the currently traversed HTML element
+        self.before($("<div/>", {
+
+          // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
+          "name": hashValue,
+
+          "data-unique": hashValue
+
+        }));
+
+        return item;
+
+      },
+
+      // _generateHashValue
+      // ------------------
+      //      Generates the hash value that will be used to refer to each item.
+      _generateHashValue: function(arr, self, index) {
+
+        var hashValue = "",
+          hashGeneratorOption = this.options.hashGenerator;
+
+        if (hashGeneratorOption === "pretty") {
+
+          // prettify the text
+          hashValue = self.text().toLowerCase().replace(/\s/g, "-");
+
+          // fix double hyphens
+          while (hashValue.indexOf("--") > -1) {
+            hashValue = hashValue.replace(/--/g, "-");
+          }
+
+          // fix colon-space instances
+          while (hashValue.indexOf(":-") > -1) {
+            hashValue = hashValue.replace(/:-/g, "-");
+          }
+
+        } else if (typeof hashGeneratorOption === "function") {
+
+          // call the function
+          hashValue = hashGeneratorOption(self.text(), self);
+
+        } else {
+
+          // compact - the default
+          hashValue = self.text().replace(/\s/g, "");
+
+        }
+
+        // add the index if we need to
+        if (arr.length) {
+          hashValue += "" + index;
+        }
+
+        // return the value
+        return hashValue;
+
+      },
+
+      // _appendElements
+      // ---------------
+      //      Helps create the table of contents list by appending subheader elements
+
+      _appendSubheaders: function(self, ul) {
+
+        // The current element index
+        var index = $(this).index(self.options.selectors),
+
+          // Finds the previous header DOM element
+          previousHeader = $(self.options.selectors).eq(index - 1),
+
+          currentTagName = +$(this).prop("tagName").charAt(1),
+
+          previousTagName = +previousHeader.prop("tagName").charAt(1),
+
+          lastSubheader;
+
+        // If the current header DOM element is smaller than the previous header DOM element or the first subheader
+        if (currentTagName < previousTagName) {
+
+          // Selects the last unordered list HTML found within the HTML element calling the plugin
+          self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));
+
+        }
+
+        // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
+        else if (currentTagName === previousTagName) {
+
+          ul.find(itemClass).last().after(self._nestElements($(this), index));
+
+        } else {
+
+          // Selects the last unordered list HTML found within the HTML element calling the plugin
+          ul.find(itemClass).last().
+
+          // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
+          after($("<ul/>", {
+
+            "class": subheaderClassName,
+
+            "data-tag": currentTagName
+
+          })).next(subheaderClass).
+
+          // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
+          append(self._nestElements($(this), index));
+        }
+
+      },
+
+      // _setEventHandlers
+      // ----------------
+      //      Adds jQuery event handlers to the newly generated table of contents
+      _setEventHandlers: function() {
+
+        // _Local variables_
+
+        // Stores the plugin context in the self variable
+        var self = this,
+
+          // Instantiates a new variable that will be used to hold a specific element's context
+          $self,
+
+          // Instantiates a new variable that will be used to determine the smoothScroll animation time duration
+          duration;
+
+        // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
+        this.element.on("click.tocify", "li", function(event) {
+
+          if (self.options.history) {
+
+            window.location.hash = $(this).attr("data-unique");
+
+          }
+
+          // Removes highlighting from all of the list item's
+          self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+          // Highlights the current list item that was clicked
+          $(this).addClass(self.focusClass);
+
+          // If the showAndHide option is true
+          if (self.options.showAndHide) {
+
+            var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');
+
+            self._triggerShow(elem);
+
+          }
+
+          self._scrollTo($(this));
+
+        });
+
+        // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
+        this.element.find("li").on({
+
+          // Mouseenter event handler
+          "mouseenter.tocify": function() {
+
+            // Adds a hover CSS class to the current list item
+            $(this).addClass(self.hoverClass);
+
+            // Makes sure the cursor is set to the pointer icon
+            $(this).css("cursor", "pointer");
+
+          },
+
+          // Mouseleave event handler
+          "mouseleave.tocify": function() {
+
+            if (self.options.theme !== "bootstrap") {
+
+              // Removes the hover CSS class from the current list item
+              $(this).removeClass(self.hoverClass);
+
+            }
+
+          }
+        });
+
+        // only attach handler if needed (expensive in IE)
+        if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
+          // Window scroll event handler
+          $(window).on("scroll.tocify", function() {
+
+            // Once all animations on the page are complete, this callback function will be called
+            $("html, body").promise().done(function() {
+
+              // Local variables
+
+              // Stores how far the user has scrolled
+              var winScrollTop = $(window).scrollTop(),
+
+                // Stores the height of the window
+                winHeight = $(window).height(),
+
+                // Stores the height of the document
+                docHeight = $(document).height(),
+
+                scrollHeight = $("body")[0].scrollHeight,
+
+                // Instantiates a variable that will be used to hold a selected HTML element
+                elem,
+
+                lastElem,
+
+                lastElemOffset,
+
+                currentElem;
+
+              if (self.options.extendPage) {
+
+                // If the user has scrolled to the bottom of the page and the last toc item is not focused
+                if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {
+
+                  if (!$(extendPageClass).length) {
+
+                    lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');
+
+                    if (!lastElem.length) return;
+
+                    // Gets the top offset of the page header that is linked to the last toc item
+                    lastElemOffset = lastElem.offset().top;
+
+                    // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
+                    $(self.options.context).append($("<div/>", {
+
+                      "class": extendPageClassName,
+
+                      "height": Math.abs(lastElemOffset - winScrollTop) + "px",
+
+                      "data-unique": extendPageClassName
+
+                    }));
+
+                    if (self.extendPageScroll) {
+
+                      currentElem = self.element.find('li.' + self.focusClass);
+
+                      self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));
+
+                    }
+
+                  }
+
+                }
+
+              }
+
+              // The zero timeout ensures the following code is run after the scroll events
+              setTimeout(function() {
+
+                // _Local variables_
+
+                // Stores the distance to the closest anchor
+                var closestAnchorDistance = null,
+
+                  // Stores the index of the closest anchor
+                  closestAnchorIdx = null,
+
+                  // Keeps a reference to all anchors
+                  anchors = $(self.options.context).find("div[data-unique]"),
+
+                  anchorText;
+
+                // Determines the index of the closest anchor
+                anchors.each(function(idx) {
+                  var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
+                  if (closestAnchorDistance == null || distance < closestAnchorDistance) {
+                    closestAnchorDistance = distance;
+                    closestAnchorIdx = idx;
+                  } else {
+                    return false;
+                  }
+                });
+
+                anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");
+
+                // Stores the list item HTML element that corresponds to the currently traversed anchor tag
+                elem = $('li[data-unique="' + anchorText + '"]');
+
+                // If the `highlightOnScroll` option is true and a next element is found
+                if (self.options.highlightOnScroll && elem.length) {
+
+                  // Removes highlighting from all of the list item's
+                  self.element.find("." + self.focusClass).removeClass(self.focusClass);
+
+                  // Highlights the corresponding list item
+                  elem.addClass(self.focusClass);
+
+                }
+
+                if (self.options.scrollHistory) {
+
+                  if (window.location.hash !== "#" + anchorText) {
+
+                    window.location.replace("#" + anchorText);
+
+                  }
+                }
+
+                // If the `showAndHideOnScroll` option is true
+                if (self.options.showAndHideOnScroll && self.options.showAndHide) {
+
+                  self._triggerShow(elem, true);
+
+                }
+
+              }, 0);
+
+            });
+
+          });
+        }
+
+      },
+
+      // Show
+      // ----
+      //      Opens the current sub-header
+      show: function(elem, scroll) {
+
+        // Stores the plugin context in the `self` variable
+        var self = this,
+          element = elem;
+
+        // If the sub-header is not already visible
+        if (!elem.is(":visible")) {
+
+          // If the current element does not have any nested subheaders, is not a header, and its parent is not visible
+          if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {
+
+            // Sets the current element to all of the subheaders within the current header
+            elem = elem.parents(subheaderClass).add(elem);
+
+          }
+
+          // If the current element does not have any nested subheaders and is not a header
+          else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {
+
+            // Sets the current element to the closest subheader
+            elem = elem.closest(subheaderClass);
+
+          }
+
+          //Determines what jQuery effect to use
+          switch (self.options.showEffect) {
+
+            //Uses `no effect`
+            case "none":
+
+              elem.show();
+
+              break;
+
+              //Uses the jQuery `show` special effect
+            case "show":
+
+              elem.show(self.options.showEffectSpeed);
+
+              break;
+
+              //Uses the jQuery `slideDown` special effect
+            case "slideDown":
+
+              elem.slideDown(self.options.showEffectSpeed);
+
+              break;
+
+              //Uses the jQuery `fadeIn` special effect
+            case "fadeIn":
+
+              elem.fadeIn(self.options.showEffectSpeed);
+
+              break;
+
+              //If none of the above options were passed, then a `jQueryUI show effect` is expected
+            default:
+
+              elem.show();
+
+              break;
+
+          }
+
+        }
+
+        // If the current subheader parent element is a header
+        if (elem.parent().is(headerClass)) {
+
+          // Hides all non-active sub-headers
+          self.hide($(subheaderClass).not(elem));
+
+        }
+
+        // If the current subheader parent element is not a header
+        else {
+
+          // Hides all non-active sub-headers
+          self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));
+
+        }
+
+        // Maintains chainablity
+        return self;
+
+      },
+
+      // Hide
+      // ----
+      //      Closes the current sub-header
+      hide: function(elem) {
+
+        // Stores the plugin context in the `self` variable
+        var self = this;
+
+        //Determines what jQuery effect to use
+        switch (self.options.hideEffect) {
+
+          // Uses `no effect`
+          case "none":
+
+            elem.hide();
+
+            break;
+
+            // Uses the jQuery `hide` special effect
+          case "hide":
+
+            elem.hide(self.options.hideEffectSpeed);
+
+            break;
+
+            // Uses the jQuery `slideUp` special effect
+          case "slideUp":
+
+            elem.slideUp(self.options.hideEffectSpeed);
+
+            break;
+
+            // Uses the jQuery `fadeOut` special effect
+          case "fadeOut":
+
+            elem.fadeOut(self.options.hideEffectSpeed);
+
+            break;
+
+            // If none of the above options were passed, then a `jqueryUI hide effect` is expected
+          default:
+
+            elem.hide();
+
+            break;
+
+        }
+
+        // Maintains chainablity
+        return self;
+      },
+
+      // _triggerShow
+      // ------------
+      //      Determines what elements get shown on scroll and click
+      _triggerShow: function(elem, scroll) {
+
+        var self = this;
+
+        // If the current element's parent is a header element or the next element is a nested subheader element
+        if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) {
+
+          // Shows the next sub-header element
+          self.show(elem.next(subheaderClass), scroll);
+
+        }
+
+        // If the current element's parent is a subheader element
+        else if (elem.parent().is(subheaderClass)) {
+
+          // Shows the parent sub-header element
+          self.show(elem.parent(), scroll);
+
+        }
+
+        // Maintains chainability
+        return self;
+
+      },
+
+      // _addCSSClasses
+      // --------------
+      //      Adds CSS classes to the newly generated table of contents HTML
+      _addCSSClasses: function() {
+
+        // If the user wants a jqueryUI theme
+        if (this.options.theme === "jqueryui") {
+
+          this.focusClass = "ui-state-default";
+
+          this.hoverClass = "ui-state-hover";
+
+          //Adds the default styling to the dropdown list
+          this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content");
+
+        }
+
+        // If the user wants a twitterBootstrap theme
+        else if (this.options.theme === "bootstrap") {
+
+          this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list");
+
+          this.focusClass = "active";
+
+        }
+
+        // If the user wants a twitterBootstrap theme
+        else if (this.options.theme === "bootstrap3") {
+
+          this.element.find(headerClass + "," + subheaderClass).addClass("list-group");
+
+          this.element.find(itemClass).addClass("list-group-item");
+
+          this.focusClass = "active";
+
+        }
+
+        // If a user does not want a prebuilt theme
+        else {
+
+          // Adds more neutral classes (instead of jqueryui)
+
+          this.focusClass = tocFocusClassName;
+
+          this.hoverClass = tocHoverClassName;
+
+        }
+
+        //Maintains chainability
+        return this;
+
+      },
+
+      // setOption
+      // ---------
+      //      Sets a single Tocify option after the plugin is invoked
+      setOption: function() {
+
+        // Calls the jQueryUI Widget Factory setOption method
+        $.Widget.prototype._setOption.apply(this, arguments);
+
+      },
+
+      // setOptions
+      // ----------
+      //      Sets a single or multiple Tocify options after the plugin is invoked
+      setOptions: function() {
+
+        // Calls the jQueryUI Widget Factory setOptions method
+        $.Widget.prototype._setOptions.apply(this, arguments);
+
+      },
+
+      // _scrollTo
+      // ---------
+      //      Scrolls to a specific element
+      _scrollTo: function(elem) {
+
+        var self = this,
+          duration = self.options.smoothScroll || 0,
+          scrollTo = self.options.scrollTo,
+          currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]');
+
+        if (!currentDiv.length) {
+
+          return self;
+
+        }
+
+        // Once all animations on the page are complete, this callback function will be called
+        $("html, body").promise().done(function() {
+
+          // Animates the html and body element scrolltops
+          $("html, body").animate({
+
+            // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag
+            "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px"
+
+          }, {
+
+            // Sets the smoothScroll animation time duration to the smoothScrollSpeed option
+            "duration": duration
+
+          });
+
+        });
+
+        // Maintains chainability
+        return self;
+
+      }
+
+    });
+
+  })); //end of plugin
+</script>
+<script>
+
+/**
+ * jQuery Plugin: Sticky Tabs
+ *
+ * @author Aidan Lister <aidan@php.net>
+ * adapted by Ruben Arslan to activate parent tabs too
+ * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
+ */
+(function($) {
+  "use strict";
+  $.fn.rmarkdownStickyTabs = function() {
+    var context = this;
+    // Show the tab corresponding with the hash in the URL, or the first tab
+    var showStuffFromHash = function() {
+      var hash = window.location.hash;
+      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
+      var $selector = $(selector, context);
+      if($selector.data('toggle') === "tab") {
+        $selector.tab('show');
+        // walk up the ancestors of this element, show any hidden tabs
+        $selector.parents('.section.tabset').each(function(i, elm) {
+          var link = $('a[href="#' + $(elm).attr('id') + '"]');
+          if(link.data('toggle') === "tab") {
+            link.tab("show");
+          }
+        });
+      }
+    };
+
+
+    // Set the correct tab when the page loads
+    showStuffFromHash(context);
+
+    // Set the correct tab when a user uses their back/forward button
+    $(window).on('hashchange', function() {
+      showStuffFromHash(context);
+    });
+
+    // Change the URL when tabs are clicked
+    $('a', context).on('click', function(e) {
+      history.pushState(null, null, this.href);
+      showStuffFromHash(context);
+    });
+
+    return this;
+  };
+}(jQuery));
+
+window.buildTabsets = function(tocID) {
+
+  // build a tabset from a section div with the .tabset class
+  function buildTabset(tabset) {
+
+    // check for fade and pills options
+    var fade = tabset.hasClass("tabset-fade");
+    var pills = tabset.hasClass("tabset-pills");
+    var navClass = pills ? "nav-pills" : "nav-tabs";
+
+    // determine the heading level of the tabset and tabs
+    var match = tabset.attr('class').match(/level(\d) /);
+    if (match === null)
+      return;
+    var tabsetLevel = Number(match[1]);
+    var tabLevel = tabsetLevel + 1;
+
+    // find all subheadings immediately below
+    var tabs = tabset.find("div.section.level" + tabLevel);
+    if (!tabs.length)
+      return;
+
+    // create tablist and tab-content elements
+    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
+    $(tabs[0]).before(tabList);
+    var tabContent = $('<div class="tab-content"></div>');
+    $(tabs[0]).before(tabContent);
+
+    // build the tabset
+    var activeTab = 0;
+    tabs.each(function(i) {
+
+      // get the tab div
+      var tab = $(tabs[i]);
+
+      // get the id then sanitize it for use with bootstrap tabs
+      var id = tab.attr('id');
+
+      // see if this is marked as the active tab
+      if (tab.hasClass('active'))
+        activeTab = i;
+
+      // remove any table of contents entries associated with
+      // this ID (since we'll be removing the heading element)
+      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
+
+      // sanitize the id for use with bootstrap tabs
+      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
+      tab.attr('id', id);
+
+      // get the heading element within it, grab it's text, then remove it
+      var heading = tab.find('h' + tabLevel + ':first');
+      var headingText = heading.html();
+      heading.remove();
+
+      // build and append the tab list item
+      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
+      a.attr('href', '#' + id);
+      a.attr('aria-controls', id);
+      var li = $('<li role="presentation"></li>');
+      li.append(a);
+      tabList.append(li);
+
+      // set it's attributes
+      tab.attr('role', 'tabpanel');
+      tab.addClass('tab-pane');
+      tab.addClass('tabbed-pane');
+      if (fade)
+        tab.addClass('fade');
+
+      // move it into the tab content div
+      tab.detach().appendTo(tabContent);
+    });
+
+    // set active tab
+    $(tabList.children('li')[activeTab]).addClass('active');
+    var active = $(tabContent.children('div.section')[activeTab]);
+    active.addClass('active');
+    if (fade)
+      active.addClass('in');
+
+    if (tabset.hasClass("tabset-sticky"))
+      tabset.rmarkdownStickyTabs();
+  }
+
+  // convert section divs with the .tabset class to tabsets
+  var tabsets = $("div.section.tabset");
+  tabsets.each(function(i) {
+    buildTabset($(tabsets[i]));
+  });
+};
+
+</script>
+<script>
+window.initializeCodeFolding = function(show) {
+
+  // handlers for show-all and hide all
+  $("#rmd-show-all-code").click(function() {
+    $('div.r-code-collapse').each(function() {
+      $(this).collapse('show');
+    });
+  });
+  $("#rmd-hide-all-code").click(function() {
+    $('div.r-code-collapse').each(function() {
+      $(this).collapse('hide');
+    });
+  });
+
+  // index for unique code element ids
+  var currentIndex = 1;
+
+  // select all R code blocks
+  var rCodeBlocks = $('pre.r, pre.python, pre.bash, pre.sql, pre.cpp, pre.stan, pre.julia, pre.foldable');
+  rCodeBlocks.each(function() {
+
+    // create a collapsable div to wrap the code in
+    var div = $('<div class="collapse r-code-collapse"></div>');
+    var showThis = (show || $(this).hasClass('fold-show')) && !$(this).hasClass('fold-hide');
+    if (showThis) div.addClass('in');
+    var id = 'rcode-643E0F36' + currentIndex++;
+    div.attr('id', id);
+    $(this).before(div);
+    $(this).detach().appendTo(div);
+
+    // add a show code button right above
+    var showCodeText = $('<span>' + (showThis ? 'Hide' : 'Code') + '</span>');
+    var showCodeButton = $('<button type="button" class="btn btn-default btn-xs code-folding-btn pull-right"></button>');
+    showCodeButton.append(showCodeText);
+    showCodeButton
+        .attr('data-toggle', 'collapse')
+        .attr('data-target', '#' + id)
+        .attr('aria-expanded', showThis)
+        .attr('aria-controls', id);
+
+    var buttonRow = $('<div class="row"></div>');
+    var buttonCol = $('<div class="col-md-12"></div>');
+
+    buttonCol.append(showCodeButton);
+    buttonRow.append(buttonCol);
+
+    div.before(buttonRow);
+
+    // update state of button on show/hide
+    div.on('hidden.bs.collapse', function () {
+      showCodeText.text('Code');
+    });
+    div.on('show.bs.collapse', function () {
+      showCodeText.text('Hide');
+    });
+  });
+
+}
+</script>
+<style type="text/css">.hljs-literal {
+color: #990073;
+}
+.hljs-number {
+color: #099;
+}
+.hljs-comment {
+color: #998;
+font-style: italic;
+}
+.hljs-keyword {
+color: #900;
+font-weight: bold;
+}
+.hljs-string {
+color: #d14;
+}
+</style>
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+<h1 class="title toc-ignore">Checking EPC datasets for Southampton</h1>
+<h3 class="subtitle">Data cleaning, outlier checks and coverage analysis</h3>
+<h4 class="author">Ben Anderson</h4>
+<h4 class="date">Last run at: 2020-11-10 12:05:23</h4>
+
+</div>
+
+
+<div id="energy-performance-certificates-epcs" class="section level1">
+<h1><span class="header-section-number">1</span> Energy Performance Certificates (EPCs)</h1>
+<p>Apart from a few exempted buildings, a dwelling must have an EPC when constructed, sold or let. This means that over time we will have an EPC for an increasing number of properties and we should <em>already</em> have EPCs for all rented properties.</p>
+<p>EPCs are not necessarily up to date. For example if a property has not been sold or let since a major upgrade, the effects of that upgrade may not be visible in the data.</p>
+<p>Further reading:</p>
+<ul>
+<li><a href="https://epc.opendatacommunities.org/docs/guidance#technical_notes" class="uri">https://epc.opendatacommunities.org/docs/guidance#technical_notes</a></li>
+<li><a href="https://en.wikipedia.org/wiki/Energy_Performance_Certificate_(United_Kingdom)#Procedure" class="uri">https://en.wikipedia.org/wiki/Energy_Performance_Certificate_(United_Kingdom)#Procedure</a></li>
+</ul>
+<blockquote>
+<p>check what feeds in automatically e.f. RHI installs etc</p>
+</blockquote>
+<p>We have to assume the data we have is the <em>current state of play</em> for these dwellings.</p>
+</div>
+<div id="data-loading" class="section level1">
+<h1><span class="header-section-number">2</span> Data loading</h1>
+<p>Load the data for the area of interest - in this case the City of Southampton.</p>
+<pre class="r"><code>df &lt;- path.expand(&quot;~/data/EW_epc/domestic-E06000045-Southampton/certificates.csv&quot;)
+allEPCs_DT &lt;- data.table::fread(df)</code></pre>
+<pre><code>## Warning in require_bit64_if_needed(ans): Some columns are type &#39;integer64&#39; but package bit64 is not
+## installed. Those columns will print as strange looking floating point data. There is no need to reload
+## the data. Simply install.packages(&#39;bit64&#39;) to obtain the integer64 print method and print the data
+## again.</code></pre>
+<p>The EPC data file has 91833 records for Southampton and 90 variables. We’re not interested in all of these, we want:</p>
+<ul>
+<li>PROPERTY_TYPE: Describes the type of property such as House, Flat, Maisonette etc. This is the type differentiator for dwellings;</li>
+<li>BUILT_FORM: The building type of the Property e.g. Detached, Semi-Detached, Terrace etc. Together with the Property Type, the Build Form produces a structured description of the property;</li>
+<li>ENVIRONMENT_IMPACT_CURRENT: A measure of the property’s current impact on the environment in terms of carbon dioxide (CO₂) emissions. The higher the rating the lower the CO₂ emissions. (CO₂ emissions in tonnes / year) <strong>NB this is a categorised scale calculated from CO2_EMISSIONS_CURRENT</strong>;</li>
+<li>ENERGY_CONSUMPTION_CURRENT: Current estimated total energy consumption for the property in a 12 month period (<strong>kWh/m2</strong>). Displayed on EPC as the current primary energy use per square metre of floor area. <strong>Nb: this covers heat and hot water (and lightng?)</strong></li>
+<li>CO2_EMISSIONS_CURRENT: COâ‚‚ emissions per year in tonnes/year <strong>NB: this is calculated from the modelled kWh energy input using (possibly) outdated carbon intensity values</strong>;</li>
+<li>TENURE: Describes the tenure type of the property. One of: Owner-occupied; Rented (social); Rented (private).</li>
+</ul>
+<p>We’re also going to keep:</p>
+<ul>
+<li>WIND_TURBINE_COUNT: Number of wind turbines; 0 if none;</li>
+<li>PHOTO_SUPPLY: Percentage of photovoltaic area as a percentage of total roof area. 0% indicates that a Photovoltaic Supply is not present in the property;</li>
+<li>TOTAL_FLOOR_AREA: The total useful floor area is the total of all enclosed spaces measured to the internal face of the external walls, i.e. the gross floor area as measured in accordance with the guidance issued from time to time by the Royal Institute of Chartered Surveyors or by a body replacing that institution. (m²) - to allow for the calculation of total energy demand;</li>
+<li>POSTCODE - to allow linkage to other datasets</li>
+<li>LOCAL_AUTHORITY_LABEL - for checking</li>
+<li>INSPECTION_DATE - so we can select the most receitn</li>
+</ul>
+<p>These may indicate ‘non-grid’ energy inputs.</p>
+<div id="select-most-recent-records" class="section level2">
+<h2><span class="header-section-number">2.1</span> Select most recent records</h2>
+<p>If an EPC has been updated or refreshed, the EPC dataset will hold multiple EPC records for that property (see Table <a href="#tab:plotAllRecords">2.1</a>).</p>
+<pre class="r"><code>ggplot2::ggplot(allEPCs_DT, aes(x = INSPECTION_DATE)) +
+  geom_histogram()</code></pre>
+<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
+<div class="figure"><span id="fig:plotAllRecords"></span>
+<img 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" alt="All records: Inspection date" width="672" />
+<p class="caption">
+Figure 2.1: All records: Inspection date
+</p>
+</div>
+<pre class="r"><code>t &lt;- allEPCs_DT[, .(nRecords = .N,
+                    firstDate = min(INSPECTION_DATE),
+                    lastDate = max(INSPECTION_DATE)), keyby = .(BUILDING_REFERENCE_NUMBER)]
+
+kableExtra::kable(head(t[nRecords &gt; 1]), cap = &quot;Examples of multiple records&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:plotAllRecords">Table 2.1: </span>Examples of multiple records
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+BUILDING_REFERENCE_NUMBER
+</th>
+<th style="text-align:right;">
+nRecords
+</th>
+<th style="text-align:left;">
+firstDate
+</th>
+<th style="text-align:left;">
+lastDate
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:left;">
+2012-10-09
+</td>
+<td style="text-align:left;">
+2014-03-13
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2009-05-19
+</td>
+<td style="text-align:left;">
+2018-02-16
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2013-02-14
+</td>
+<td style="text-align:left;">
+2013-11-25
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2009-01-28
+</td>
+<td style="text-align:left;">
+2019-01-08
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2009-03-06
+</td>
+<td style="text-align:left;">
+2019-05-08
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:left;">
+2009-06-12
+</td>
+<td style="text-align:left;">
+2015-12-09
+</td>
+</tr>
+</tbody>
+</table>
+<p><a href="#fig:plotAllRecords">2.1</a> shows the inspection date of all EPC records. We want to just select the most recent as we are not currently interested in change over time.</p>
+<pre class="r"><code># select just these vars
+dt &lt;- allEPCs_DT[, .(BUILDING_REFERENCE_NUMBER, LMK_KEY, LODGEMENT_DATE,INSPECTION_DATE, PROPERTY_TYPE, BUILT_FORM,
+                ENVIRONMENT_IMPACT_CURRENT, ENERGY_CONSUMPTION_CURRENT, CO2_EMISSIONS_CURRENT, TENURE,
+                PHOTO_SUPPLY, WIND_TURBINE_COUNT, TOTAL_FLOOR_AREA, 
+                POSTCODE, LOCAL_AUTHORITY_LABEL)]
+
+# select most recent record within BUILDING_REFERENCE_NUMBER - how?
+# better check this is doing so
+setkey(dt,BUILDING_REFERENCE_NUMBER, INSPECTION_DATE) # sort by date within reference number
+sotonUniqueEPCsDT &lt;- unique(dt, by = &quot;BUILDING_REFERENCE_NUMBER&quot;,
+                   fromLast = TRUE) # which one does it take?
+
+t &lt;- sotonUniqueEPCsDT[, .(nRecords = .N,
+                    firstDate = min(INSPECTION_DATE),
+                    lastDate = max(INSPECTION_DATE)), keyby = .(BUILDING_REFERENCE_NUMBER)]
+
+t[, diff := firstDate - lastDate] # should be 0
+
+message(&quot;Check difference between min &amp; max dates per record - should be 0&quot;)</code></pre>
+<pre><code>## Check difference between min &amp; max dates per record - should be 0</code></pre>
+<pre class="r"><code>summary(t$diff)</code></pre>
+<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
+##       0       0       0       0       0       0</code></pre>
+<pre class="r"><code>uniqueN(sotonUniqueEPCsDT$BUILDING_REFERENCE_NUMBER)</code></pre>
+<pre><code>## [1] 71600</code></pre>
+<p>This leaves us with 71,600 cases and <a href="#fig:plotLatestRecords">2.2</a> shows the inspection date of the most recent records once we have selected them.</p>
+<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = INSPECTION_DATE)) +
+  geom_histogram()</code></pre>
+<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
+<div class="figure"><span id="fig:plotLatestRecords"></span>
+<img src="data:image/png;base64,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" alt="Latest records: Inspection date" width="672" />
+<p class="caption">
+Figure 2.2: Latest records: Inspection date
+</p>
+</div>
+</div>
+<div id="descriptives" class="section level2">
+<h2><span class="header-section-number">2.2</span> Descriptives</h2>
+<p>Now check the distributions of the retained variables.</p>
+<pre class="r"><code>skimr::skim(sotonUniqueEPCsDT)</code></pre>
+<pre><code>## Warning: Couldn&#39;t find skimmers for class: integer64; No user-defined `sfl` provided. Falling back to
+## `character`.</code></pre>
+<table style="width: auto;" class="table table-condensed">
+<caption>
+<span id="tab:testUniqueLatest">Table 2.2: </span>Data summary
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:left;">
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Name
+</td>
+<td style="text-align:left;">
+sotonUniqueEPCsDT
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Number of rows
+</td>
+<td style="text-align:left;">
+71600
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Number of columns
+</td>
+<td style="text-align:left;">
+15
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+_______________________
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Column type frequency:
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+character
+</td>
+<td style="text-align:left;">
+7
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Date
+</td>
+<td style="text-align:left;">
+2
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+numeric
+</td>
+<td style="text-align:left;">
+6
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+________________________
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Group variables
+</td>
+<td style="text-align:left;">
+None
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: character</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:right;">
+min
+</th>
+<th style="text-align:right;">
+max
+</th>
+<th style="text-align:right;">
+empty
+</th>
+<th style="text-align:right;">
+n_unique
+</th>
+<th style="text-align:right;">
+whitespace
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+BUILDING_REFERENCE_NUMBER
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+17
+</td>
+<td style="text-align:right;">
+21
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71600
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+LMK_KEY
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+29
+</td>
+<td style="text-align:right;">
+34
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71600
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+PROPERTY_TYPE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+4
+</td>
+<td style="text-align:right;">
+10
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+5
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+BUILT_FORM
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+20
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+7
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+TENURE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+16
+</td>
+<td style="text-align:right;">
+1986
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+POSTCODE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+5107
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+LOCAL_AUTHORITY_LABEL
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+11
+</td>
+<td style="text-align:right;">
+11
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: Date</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:left;">
+min
+</th>
+<th style="text-align:left;">
+max
+</th>
+<th style="text-align:left;">
+median
+</th>
+<th style="text-align:right;">
+n_unique
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+LODGEMENT_DATE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+2008-10-01
+</td>
+<td style="text-align:left;">
+2020-06-30
+</td>
+<td style="text-align:left;">
+2014-10-20
+</td>
+<td style="text-align:right;">
+4132
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+INSPECTION_DATE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+2007-03-02
+</td>
+<td style="text-align:left;">
+2020-06-30
+</td>
+<td style="text-align:left;">
+2014-10-10
+</td>
+<td style="text-align:right;">
+3907
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: numeric</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:right;">
+mean
+</th>
+<th style="text-align:right;">
+sd
+</th>
+<th style="text-align:right;">
+p0
+</th>
+<th style="text-align:right;">
+p25
+</th>
+<th style="text-align:right;">
+p50
+</th>
+<th style="text-align:right;">
+p75
+</th>
+<th style="text-align:right;">
+p100
+</th>
+<th style="text-align:left;">
+hist
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+ENVIRONMENT_IMPACT_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+62.55
+</td>
+<td style="text-align:right;">
+15.75
+</td>
+<td style="text-align:right;">
+1.0
+</td>
+<td style="text-align:right;">
+52.0
+</td>
+<td style="text-align:right;">
+63.0
+</td>
+<td style="text-align:right;">
+73
+</td>
+<td style="text-align:right;">
+115.00
+</td>
+<td style="text-align:left;">
+▁▂▇▅▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+ENERGY_CONSUMPTION_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+262.97
+</td>
+<td style="text-align:right;">
+140.59
+</td>
+<td style="text-align:right;">
+-184.0
+</td>
+<td style="text-align:right;">
+173.0
+</td>
+<td style="text-align:right;">
+233.0
+</td>
+<td style="text-align:right;">
+327
+</td>
+<td style="text-align:right;">
+1597.00
+</td>
+<td style="text-align:left;">
+▃▇▁▁▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+CO2_EMISSIONS_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+3.16
+</td>
+<td style="text-align:right;">
+1.94
+</td>
+<td style="text-align:right;">
+-1.8
+</td>
+<td style="text-align:right;">
+1.8
+</td>
+<td style="text-align:right;">
+2.8
+</td>
+<td style="text-align:right;">
+4
+</td>
+<td style="text-align:right;">
+77.00
+</td>
+<td style="text-align:left;">
+▇▁▁▁▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+PHOTO_SUPPLY
+</td>
+<td style="text-align:right;">
+38590
+</td>
+<td style="text-align:right;">
+0.46
+</td>
+<td style="text-align:right;">
+0.59
+</td>
+<td style="text-align:right;">
+5.11
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+100.00
+</td>
+<td style="text-align:left;">
+▇▁▁▁▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+WIND_TURBINE_COUNT
+</td>
+<td style="text-align:right;">
+5555
+</td>
+<td style="text-align:right;">
+0.92
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.03
+</td>
+<td style="text-align:right;">
+-1.0
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:left;">
+▁▁▇▁▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+TOTAL_FLOOR_AREA
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+72.98
+</td>
+<td style="text-align:right;">
+34.91
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+49.0
+</td>
+<td style="text-align:right;">
+69.0
+</td>
+<td style="text-align:right;">
+87
+</td>
+<td style="text-align:right;">
+1353.68
+</td>
+<td style="text-align:left;">
+▇▁▁▁▁
+</td>
+</tr>
+</tbody>
+</table>
+<p>As we can see that we have 71600 unique property reference numbers. We can also see some strangeness. In some cases we seem to have:</p>
+<ul>
+<li>negative energy consumption;</li>
+<li>negative emissions;</li>
+<li>0 floor area</li>
+</ul>
+<p>This is not surprising since the kWh/y and TCO2/y values are estimated using a model but before we go any further we’d better check if these are significant in number.</p>
+</div>
+</div>
+<div id="data-checks" class="section level1">
+<h1><span class="header-section-number">3</span> Data checks</h1>
+<div id="check-missing-epc-rates" class="section level2">
+<h2><span class="header-section-number">3.1</span> Check ‘missing’ EPC rates</h2>
+<p>We will do this mostly at MSOA level as it allows us to link to other MSOA level datasets. Arguably it would be better to do this at LSOA level but…</p>
+<p>First we’ll use the BEIS 2018 MSOA level annual electricity data to estimate the number of meters (not properties) - some addresses can have 2 meters (e.g. standard &amp; economy 7). This is more useful than the number of gas meters since not all dwellings have mains gas but all have an electricity meter.</p>
+<pre class="r"><code>beisElecDT &lt;- data.table::fread(&quot;~/data/beis/MSOA_DOM_ELEC_csv/MSOA_ELEC_2018.csv&quot;)
+sotonElecDT &lt;- beisElecDT[LAName %like% &quot;Southampton&quot;, .(nElecMeters = METERS,  
+                                                         beisElecMWh = KWH/1000, 
+                                                         MSOACode, LAName)
+                          ]
+
+
+beisGasDT &lt;- data.table::fread(&quot;~/data/beis/MSOA_DOM_GAS_csv/MSOA_GAS_2018.csv&quot;)
+sotonGasDT &lt;- beisGasDT[LAName %like% &quot;Southampton&quot;, .(nGasMeters = METERS,  
+                                                         beisGasMWh = KWH/1000, 
+                                                         MSOACode)]
+
+setkey(sotonElecDT, MSOACode)
+setkey(sotonGasDT, MSOACode)
+sotonEnergyDT &lt;- sotonGasDT[sotonElecDT]
+sotonEnergyDT[, beisEnergyMWh := beisElecMWh + beisGasMWh]
+#head(sotonEnergyDT)</code></pre>
+<p>Next we’ll check for the number of households reported by the 2011 Census.</p>
+<blockquote>
+<p>would be better to use dwellings but this gives us tenure</p>
+</blockquote>
+<pre class="r"><code>#censusDT &lt;- data.table::fread(path.expand(&quot;~/data/&quot;))
+# IMD ----
+deprivationDT &lt;- data.table::fread(path.expand(&quot;~/data/census2011/2011_MSOA_deprivation.csv&quot;))
+deprivationDT[, totalHouseholds := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
+deprivationDT[, MSOACode := `geography code`]
+setkey(deprivationDT, MSOACode)
+setkey(sotonElecDT, MSOACode)
+# link LA name from Soton elec for now
+sotonDep_DT &lt;- deprivationDT[sotonElecDT[, .(MSOACode, LAName)]]
+sotonDep_DT[, nHHs_deprivation := `Household Deprivation: All categories: Classification of household deprivation; measures: Value`]
+
+#sotonDep_DT[, .(nHouseholds = sum(totalHouseholds)), keyby = .(LAName)]
+
+# census tenure ----
+sotonTenureDT &lt;- data.table::fread(path.expand(&quot;~/data/census2011/2011_MSOA_householdTenure_Soton.csv&quot;))
+
+sotonTenureDT[, census2011_socialRent := `Tenure: Social rented; measures: Value`]
+sotonTenureDT[, census2011_privateRent := `Tenure: Private rented; measures: Value`]
+sotonTenureDT[, census2011_ownerOccupy := `Tenure: Owned; measures: Value`]
+sotonTenureDT[, census2011_other := `Tenure: Living rent free; measures: Value`]
+sotonTenureDT[, MSOACode := `geography code`]
+
+sotonTenureDT[, hhCheck := census2011_socialRent + census2011_privateRent + census2011_ownerOccupy + census2011_other]
+sotonTenureDT[, nHHs_tenure := `Tenure: All households; measures: Value`]
+
+# summary(sotonTenureDT[, .(hhCheck, nHHs_tenure)])
+# might not quite match due to cell perturbation etc?
+
+# join em ----
+setkey(sotonDep_DT, MSOACode)
+setkey(sotonTenureDT, MSOACode)
+
+sotonCensus2011_DT &lt;- sotonTenureDT[sotonDep_DT]
+
+t &lt;- sotonCensus2011_DT[, .(sum_Deprivation = sum(nHHs_deprivation),
+                            sum_Tenure = sum(nHHs_tenure)), keyby = .(LAName)]
+kableExtra::kable(t, caption = &quot;Census derived household counts&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:checkCensus">Table 3.1: </span>Census derived household counts
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+LAName
+</th>
+<th style="text-align:right;">
+sum_Deprivation
+</th>
+<th style="text-align:right;">
+sum_Tenure
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Southampton
+</td>
+<td style="text-align:right;">
+98254
+</td>
+<td style="text-align:right;">
+98254
+</td>
+</tr>
+</tbody>
+</table>
+<p>That’s lower (as expected) but doesn’t allow for dwellings that were empty on census night.</p>
+<pre class="r"><code># Postcodes don&#39;t help - no count of addresses in the data (there used to be??)
+# but we can use it to check which Soton postcodes are missing from the EPC file
+soPostcodesDT &lt;- data.table::fread(path.expand(&quot;~/data/UK_postcodes/NSPL_AUG_2020_UK/Data/multi_csv/NSPL_AUG_2020_UK_SO.csv&quot;))
+
+soPostcodesDT &lt;- soPostcodesDT[is.na(doterm)] # keep current
+
+sotonPostcodesDT &lt;- soPostcodesDT[laua == &quot;E06000045&quot;] # keep Southampton City
+
+sotonPostcodesReducedDT &lt;- sotonPostcodesDT[, .(pcd, pcd2, pcds, laua, msoa11, lsoa11)]
+
+sotonPostcodesReducedDT[, c(&quot;pc_chunk1&quot;,&quot;pc_chunk2&quot; ) := tstrsplit(pcds, 
+                                                                   split = &quot; &quot;
+                                                                   )
+                        ]
+sotonPostcodesReducedDT[, .(nEPCs = .N), keyby = .(pc_chunk1)]</code></pre>
+<pre><code>##    pc_chunk1 nEPCs
+## 1:      SO14   849
+## 2:      SO15  1176
+## 3:      SO16  1328
+## 4:      SO17   443
+## 5:      SO18   859
+## 6:      SO19  1164</code></pre>
+<p>We should not have single digit postcodes in the postcode data - i.e. S01 should not be there (since 1993). Southampton City is unusual in only having <a href="https://en.wikipedia.org/wiki/SO_postcode_area">double digit postcodes</a>.</p>
+<pre class="r"><code># EPC
+# set up counters
+sotonUniqueEPCsDT[, epcIsSocialRent := ifelse(TENURE == &quot;rental (social)&quot;, 1, 0)]
+sotonUniqueEPCsDT[, epcIsPrivateRent := ifelse(TENURE == &quot;rental (private)&quot;, 1, 0)]
+sotonUniqueEPCsDT[, epcIsOwnerOcc := ifelse(TENURE == &quot;owner-occupied&quot;, 1, 0)]
+sotonUniqueEPCsDT[, epcIsUnknownTenure := ifelse(TENURE == &quot;NO DATA!&quot; |
+                                          TENURE == &quot;&quot; , 1, 0)]
+# aggregate EPCs to postcodes
+sotonEpcPostcodes_DT &lt;- sotonUniqueEPCsDT[, .(nEPCs = .N,
+                                              sumEPC_tCO2 = sum(CO2_EMISSIONS_CURRENT, na.rm = TRUE),
+                                     n_epcIsSocialRent = sum(epcIsSocialRent, na.rm = TRUE),
+                                     n_epcIsPrivateRent = sum(epcIsPrivateRent, na.rm = TRUE),
+                                     n_epcIsOwnerOcc = sum(epcIsOwnerOcc, na.rm = TRUE),
+                                     n_epcIsUnknownTenure = sum(epcIsUnknownTenure, na.rm = TRUE),
+                               sumEpcMWh = sum(ENERGY_CONSUMPTION_CURRENT* TOTAL_FLOOR_AREA)/1000), # crucial as ENERGY_CONSUMPTION_CURRENT = kWh/m2
+                           keyby = .(POSTCODE, LOCAL_AUTHORITY_LABEL)]
+
+sotonEpcPostcodes_DT[, c(&quot;pc_chunk1&quot;,&quot;pc_chunk2&quot; ) := tstrsplit(POSTCODE, 
+                                                                   split = &quot; &quot;
+                                                                   )
+                        ]
+sotonEpcPostcodes_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]</code></pre>
+<pre><code>##    pc_chunk1 nEPCs
+## 1:      SO14   601
+## 2:      SO15   960
+## 3:      SO16  1245
+## 4:      SO17   403
+## 5:      SO18   776
+## 6:      SO19  1122</code></pre>
+<pre class="r"><code># check original EPC data for Soton - which postcodes are covered?
+allEPCs_DT[, c(&quot;pc_chunk1&quot;,&quot;pc_chunk2&quot; ) := tstrsplit(POSTCODE, 
+                                                                   split = &quot; &quot;
+                                                                   )
+                        ]
+allEPCs_DT[, .(nEPCs = .N), keyby = .(pc_chunk1)]</code></pre>
+<pre><code>##    pc_chunk1 nEPCs
+## 1:      SO14 14213
+## 2:      SO15 17855
+## 3:      SO16 20270
+## 4:      SO17  8446
+## 5:      SO18 10661
+## 6:      SO19 20388</code></pre>
+<p>It looks like we have EPCs for each postcode sector which is good.</p>
+<pre class="r"><code># match the EPC postcode summaries to the postcode extract
+sotonPostcodesReducedDT[, POSTCODE_s := stringr::str_remove(pcds, &quot; &quot;)]
+setkey(sotonPostcodesReducedDT, POSTCODE_s)
+sotonPostcodesReducedDT[, MSOACode := msoa11]
+message(&quot;Number of postcodes: &quot;,uniqueN(sotonPostcodesReducedDT$POSTCODE_s))</code></pre>
+<pre><code>## Number of postcodes: 5819</code></pre>
+<pre class="r"><code>sotonEpcPostcodes_DT[, POSTCODE_s := stringr::str_remove(POSTCODE, &quot; &quot;)]
+setkey(sotonEpcPostcodes_DT, POSTCODE_s)
+message(&quot;Number of postcodes with EPCs: &quot;,uniqueN(sotonEpcPostcodes_DT$POSTCODE_s))</code></pre>
+<pre><code>## Number of postcodes with EPCs: 5107</code></pre>
+<pre class="r"><code>dt &lt;- sotonEpcPostcodes_DT[sotonPostcodesReducedDT]
+
+# aggregate to MSOA - watch for NAs where no EPCs in a given postcode
+sotonEpcMSOA_DT &lt;- dt[, .(nEPCs = sum(nEPCs, na.rm = TRUE), 
+                          sumEPC_tCO2 = sum(sumEPC_tCO2, na.rm = TRUE),
+                                        n_epcIsSocialRent = sum(n_epcIsSocialRent, na.rm = TRUE),
+                                        n_epcIsPrivateRent = sum(n_epcIsPrivateRent, na.rm = TRUE),
+                                        n_epcIsOwnerOcc = sum(n_epcIsOwnerOcc, na.rm = TRUE),
+                                        n_epcIsUnknownTenure = sum(n_epcIsUnknownTenure, na.rm = TRUE),
+                                        sumEpcMWh = sum(sumEpcMWh, na.rm = TRUE)
+                                        ),
+                                    keyby = .(MSOACode) # change name on the fly for easier matching
+                                    ] 
+
+#summary(sotonEpcMSOA_DT)</code></pre>
+<p>So we have some postcodes with no EPCs.</p>
+<p>Join the estimates together at MSOA level for comparison. There are 32 MSOAs in Southampton.</p>
+<pre class="r"><code># 32 LSOAs in Soton
+# add deprivation
+setkey(sotonEnergyDT, MSOACode)
+setkey(sotonCensus2011_DT, MSOACode)
+setkey(sotonEpcMSOA_DT, MSOACode)
+
+sotonMSOA_DT &lt;- sotonCensus2011_DT[sotonEnergyDT]
+#names(sotonMSOA_DT)
+sotonMSOA_DT &lt;- sotonEpcMSOA_DT[sotonMSOA_DT]
+#names(sotonMSOA_DT)
+
+# add MSOA names from the postcode LUT
+
+msoaNamesDT &lt;- data.table::as.data.table(readxl::read_xlsx(path.expand(&quot;~/data/UK_postcodes/NSPL_AUG_2020_UK/Documents/MSOA (2011) names and codes UK as at 12_12.xlsx&quot;)))
+msoaNamesDT[, MSOACode := MSOA11CD]
+msoaNamesDT[, MSOAName := MSOA11NM]
+setkey(msoaNamesDT, MSOACode)
+
+sotonMSOA_DT &lt;- msoaNamesDT[sotonMSOA_DT]
+
+#names(sotonMSOA_DT)</code></pre>
+<pre class="r"><code>t &lt;- sotonMSOA_DT[, .(nHouseholds_2011 = sum(nHHs_tenure),
+                      nElecMeters_2018 = sum(nElecMeters),
+                      nEPCs_2020 = sum(nEPCs),
+                      sumEPCMWh = sum(sumEpcMWh),
+                  sumBEISMWh = sum(beisEnergyMWh),
+                  sumEPC_tCO2 = sum(sumEPC_tCO2)
+                  )]
+
+kableExtra::kable(t, caption = &quot;Comparison of different estimates of the number of dwellings and energy demand&quot;) %&gt;%
+  kable_styling()</code></pre>
+<table class="table" style="margin-left: auto; margin-right: auto;">
+<caption>
+<span id="tab:compareEpcEstimates">Table 3.2: </span>Comparison of different estimates of the number of dwellings and energy demand
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+nHouseholds_2011
+</th>
+<th style="text-align:right;">
+nElecMeters_2018
+</th>
+<th style="text-align:right;">
+nEPCs_2020
+</th>
+<th style="text-align:right;">
+sumEPCMWh
+</th>
+<th style="text-align:right;">
+sumBEISMWh
+</th>
+<th style="text-align:right;">
+sumEPC_tCO2
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+98254
+</td>
+<td style="text-align:right;">
+108333
+</td>
+<td style="text-align:right;">
+71276
+</td>
+<td style="text-align:right;">
+1287005
+</td>
+<td style="text-align:right;">
+1276983
+</td>
+<td style="text-align:right;">
+225628.3
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>nHouseholds_2011f &lt;- sum(sotonMSOA_DT$nHHs_tenure)
+nElecMeters_2018f &lt;- sum(sotonMSOA_DT$elecMeters)
+nEPCs_2020f &lt;- sum(sotonMSOA_DT$nEPCs)
+
+makePC &lt;- function(x,y,r){
+  # make a percent of x/y and round it to r decimal places
+  pc &lt;- round(100*(x/y),r)
+  return(pc)
+}</code></pre>
+<p>We can see that the number of EPCs we have is:</p>
+<ul>
+<li>72.5% of Census 2011 households
+<ul>
+<li>% of the recorded 2018 electricity meters</li>
+</ul></li>
+</ul>
+<p>We can also see that despite having ‘missing’ EPCs, the estimated total EPC-derived energy demand is marginally higher than the BEIS-derived weather corrected energy demand data. Given that the BEIS data accounts for all heating, cooking, hot water, lighting and appliance use we would expect the EPC data to be lower <em>even if no EPCs were missing…</em></p>
+<pre class="r"><code>sotonMSOA_DT[, dep0_pc := 100*(`Household Deprivation: Household is not deprived in any dimension; measures: Value`/nHHs_deprivation)]
+sotonMSOA_DT[, socRent_pc := 100*(census2011_socialRent/nHHs_tenure)]
+sotonMSOA_DT[, privRent_pc := 100*(census2011_privateRent/nHHs_tenure)]
+sotonMSOA_DT[, ownerOcc_pc := 100*(census2011_ownerOccupy/nHHs_tenure)]
+
+t &lt;- sotonMSOA_DT[, .(MSOAName, MSOACode, nHHs_tenure,nElecMeters,nEPCs,
+                      dep0_pc, socRent_pc, privRent_pc, ownerOcc_pc,sumEpcMWh, beisEnergyMWh )]
+
+t[, pc_missingHH := makePC(nEPCs,nHHs_tenure,1)]
+t[, pc_missingMeters := makePC(nEPCs,nElecMeters,1)]
+t[, pc_energyBEIS := makePC(sumEpcMWh,beisEnergyMWh,1)]
+
+kableExtra::kable(t[order(-pc_missingHH)], digits = 2, caption = &quot;EPC records as a % of n census households and n meters per MSOA&quot;) %&gt;%
+  kable_styling()</code></pre>
+<table class="table" style="margin-left: auto; margin-right: auto;">
+<caption>
+<span id="tab:missingEPCbyMSOA">Table 3.3: </span>EPC records as a % of n census households and n meters per MSOA
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+MSOAName
+</th>
+<th style="text-align:left;">
+MSOACode
+</th>
+<th style="text-align:right;">
+nHHs_tenure
+</th>
+<th style="text-align:right;">
+nElecMeters
+</th>
+<th style="text-align:right;">
+nEPCs
+</th>
+<th style="text-align:right;">
+dep0_pc
+</th>
+<th style="text-align:right;">
+socRent_pc
+</th>
+<th style="text-align:right;">
+privRent_pc
+</th>
+<th style="text-align:right;">
+ownerOcc_pc
+</th>
+<th style="text-align:right;">
+sumEpcMWh
+</th>
+<th style="text-align:right;">
+beisEnergyMWh
+</th>
+<th style="text-align:right;">
+pc_missingHH
+</th>
+<th style="text-align:right;">
+pc_missingMeters
+</th>
+<th style="text-align:right;">
+pc_energyBEIS
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Southampton 029
+</td>
+<td style="text-align:left;">
+E02003577
+</td>
+<td style="text-align:right;">
+4908
+</td>
+<td style="text-align:right;">
+6734
+</td>
+<td style="text-align:right;">
+5902
+</td>
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+37.92
+</td>
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+27.61
+</td>
+<td style="text-align:right;">
+43.09
+</td>
+<td style="text-align:right;">
+24.67
+</td>
+<td style="text-align:right;">
+77245.58
+</td>
+<td style="text-align:right;">
+47461.33
+</td>
+<td style="text-align:right;">
+120.3
+</td>
+<td style="text-align:right;">
+87.6
+</td>
+<td style="text-align:right;">
+162.8
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 023
+</td>
+<td style="text-align:left;">
+E02003571
+</td>
+<td style="text-align:right;">
+3040
+</td>
+<td style="text-align:right;">
+3530
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
+142.8
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 022
+</td>
+<td style="text-align:left;">
+E02003570
+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
+117.9
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 017
+</td>
+<td style="text-align:left;">
+E02003565
+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+120.9
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 031
+</td>
+<td style="text-align:left;">
+E02003579
+</td>
+<td style="text-align:right;">
+3357
+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
+46140.81
+</td>
+<td style="text-align:right;">
+47913.06
+</td>
+<td style="text-align:right;">
+92.7
+</td>
+<td style="text-align:right;">
+69.8
+</td>
+<td style="text-align:right;">
+96.3
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 013
+</td>
+<td style="text-align:left;">
+E02003561
+</td>
+<td style="text-align:right;">
+3181
+</td>
+<td style="text-align:right;">
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+</td>
+<td style="text-align:right;">
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
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+</td>
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+83.7
+</td>
+<td style="text-align:right;">
+76.3
+</td>
+<td style="text-align:right;">
+128.1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 009
+</td>
+<td style="text-align:left;">
+E02003557
+</td>
+<td style="text-align:right;">
+2753
+</td>
+<td style="text-align:right;">
+3103
+</td>
+<td style="text-align:right;">
+2137
+</td>
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+50.78
+</td>
+<td style="text-align:right;">
+7.37
+</td>
+<td style="text-align:right;">
+38.98
+</td>
+<td style="text-align:right;">
+52.49
+</td>
+<td style="text-align:right;">
+47067.97
+</td>
+<td style="text-align:right;">
+42842.23
+</td>
+<td style="text-align:right;">
+77.6
+</td>
+<td style="text-align:right;">
+68.9
+</td>
+<td style="text-align:right;">
+109.9
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 020
+</td>
+<td style="text-align:left;">
+E02003568
+</td>
+<td style="text-align:right;">
+3820
+</td>
+<td style="text-align:right;">
+3900
+</td>
+<td style="text-align:right;">
+2959
+</td>
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+50.08
+</td>
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+4.53
+</td>
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+50.92
+</td>
+<td style="text-align:right;">
+42.93
+</td>
+<td style="text-align:right;">
+53468.76
+</td>
+<td style="text-align:right;">
+47024.09
+</td>
+<td style="text-align:right;">
+77.5
+</td>
+<td style="text-align:right;">
+75.9
+</td>
+<td style="text-align:right;">
+113.7
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 010
+</td>
+<td style="text-align:left;">
+E02003558
+</td>
+<td style="text-align:right;">
+2924
+</td>
+<td style="text-align:right;">
+3222
+</td>
+<td style="text-align:right;">
+2223
+</td>
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+33.96
+</td>
+<td style="text-align:right;">
+32.32
+</td>
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+25.82
+</td>
+<td style="text-align:right;">
+39.81
+</td>
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+38565.55
+</td>
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+34421.99
+</td>
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+76.0
+</td>
+<td style="text-align:right;">
+69.0
+</td>
+<td style="text-align:right;">
+112.0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 021
+</td>
+<td style="text-align:left;">
+E02003569
+</td>
+<td style="text-align:right;">
+3527
+</td>
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+3999
+</td>
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+40.71
+</td>
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+15.00
+</td>
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+38.28
+</td>
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+44.32
+</td>
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+46831.10
+</td>
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+41380.67
+</td>
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+75.7
+</td>
+<td style="text-align:right;">
+66.8
+</td>
+<td style="text-align:right;">
+113.2
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 015
+</td>
+<td style="text-align:left;">
+E02003563
+</td>
+<td style="text-align:right;">
+3483
+</td>
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+3818
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+2551
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+37.81
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+21.79
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+24.17
+</td>
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+51.79
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+46491.11
+</td>
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+39920.85
+</td>
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+73.2
+</td>
+<td style="text-align:right;">
+66.8
+</td>
+<td style="text-align:right;">
+116.5
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 027
+</td>
+<td style="text-align:left;">
+E02003575
+</td>
+<td style="text-align:right;">
+2808
+</td>
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+2987
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+</td>
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+</td>
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+126.3
+</td>
+</tr>
+<tr>
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+Southampton 007
+</td>
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+E02003555
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+87.0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 005
+</td>
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+E02003553
+</td>
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+2394
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+</td>
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+95.4
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 014
+</td>
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+E02003562
+</td>
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+3636
+</td>
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+3921
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+</td>
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+91.9
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 032
+</td>
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+E02003580
+</td>
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+2617
+</td>
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+</td>
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+</td>
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+</td>
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+</td>
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+68.2
+</td>
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+</td>
+<td style="text-align:right;">
+125.4
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Southampton 025
+</td>
+<td style="text-align:left;">
+E02003573
+</td>
+<td style="text-align:right;">
+3236
+</td>
+<td style="text-align:right;">
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+<pre class="r"><code>ggplot2::ggplot(t, aes(x = pc_missingHH, 
+                       y = pc_missingMeters,
+                       colour = round(ownerOcc_pc))) +
+  geom_abline(alpha = 0.2, slope=1, intercept=0) +
+  geom_point() +
+  scale_color_continuous(name = &quot;% owner occupiers \n(Census 2011)&quot;, high = &quot;red&quot;, low = &quot;green&quot;) +
+  #theme(legend.position = &quot;bottom&quot;) +
+  labs(x = &quot;EPCs 2020 as % of Census 2011 households&quot;,
+       y = &quot;EPCs 2020 as % of electricity meters 2018&quot;,
+       caption = &quot;x = y line included for clarity&quot;)</code></pre>
+<div class="figure"><span id="fig:missingEPCbyMSOA"></span>
+<img 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" alt="% &#39;missing&#39; rates comparison" width="672" />
+<p class="caption">
+Figure 3.1: % ‘missing’ rates comparison
+</p>
+</div>
+<pre class="r"><code>outlierMSOA &lt;- t[pc_missingHH &gt; 100]</code></pre>
+<p>Figure <a href="#tab:missingEPCbyMSOA">3.3</a> suggests that rates vary considerably by MSOA but are relatively consistent across the two baseline ‘truth’ estimates with the exception of E02003577 which appears to have many more EPCs than Census 2011 households. It is worth noting that <a href="https://www.localhealth.org.uk/#c=report&amp;chapter=c01&amp;report=r01&amp;selgeo1=msoa_2011.E02003577&amp;selgeo2=eng.E92000001">this MSOA</a> covers the city centre and dock areas which have had substantial new build since 2011 and so may have households inhabiting dwellings that did not exist at Census 2011. This is also supported by the considerably higher EPC derived energy demand data compared to BEIS’s 2018 data - although it suggests the dwellings are either very new (since 2018) or are yet to be occupied.</p>
+<p>As we would expect those MSOAs with the lowest EPC coverage on both baseline measures tend to have higher proportions of owner occupiers.</p>
+<p>We can use the same approach to compare estimates of total energy demand at the MSOA level. To do this we compare:</p>
+<ul>
+<li>estimated total energy demand in MWh/year derived from the EPC estimates. This energy only relates to <code>current primary energy</code> (space heating, hot water and lighting) and of course also suffers from missing EPCs (see above)</li>
+<li>observed electricity and gas demand collated by BEIS for their sub-national statistical series. This applies to all domestic energy demand but the most recent data is for 2018 so will suffer from the absence of dwellings that are present in the most recent EPC data (see above).</li>
+</ul>
+<p>We should therefore not expect the values to match but we might reasonably expect a correlation.</p>
+<pre class="r"><code>ggplot2::ggplot(t, aes(x = sumEpcMWh, 
+                       y = beisEnergyMWh,
+                       colour = round(ownerOcc_pc))) +
+  geom_abline(alpha = 0.2, slope=1, intercept=0) +
+  geom_point() +
+  scale_color_continuous(name = &quot;% owner occupiers \n(Census 2011)&quot;, high = &quot;red&quot;, low = &quot;green&quot;) +
+  #theme(legend.position = &quot;bottom&quot;) +
+  labs(x = &quot;EPC 2020 derived total MWh/year&quot;,
+       y = &quot;BEIS 2018 derived total MWh/year&quot;,
+       caption = &quot;x = y line included for clarity&quot;)</code></pre>
+<div class="figure"><span id="fig:energyMSOAPlot"></span>
+<img src="data:image/png;base64,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" alt="Energy demand comparison" width="672" />
+<p class="caption">
+Figure 3.2: Energy demand comparison
+</p>
+</div>
+<pre class="r"><code>outlier &lt;- t[sumEpcMWh &gt; 70000]</code></pre>
+<p><a href="#fig:energyMSOAPlot">3.2</a> shows that both of these are true. MSOAs with a high proportion of owner occupiers (and therefore more likely to have missing EPCs) tend to have higher observed energy demand than the EOC data suggests - they are above the reference line. MSOAs with a lower proportion of owner occupiers (and therefore more likely to have more complete EPC coverage) tend to be on or below the line. As before we have the same notable outlier (E02003577) and for the same reasons… In this case this produces a much higher energy demand estimate than the BEIS 2018 data records</p>
+</div>
+<div id="check-energy_consumption_current" class="section level2">
+<h2><span class="header-section-number">3.2</span> Check ENERGY_CONSUMPTION_CURRENT</h2>
+<p>We recode the current energy consumption into categories for comparison with other low values and the presence of wind turbines/PV. We use -ve, 0 and 1 kWh as the thresholds of interest.</p>
+<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = ENERGY_CONSUMPTION_CURRENT)) +
+  geom_histogram(binwidth = 5) + 
+  facet_wrap(~TENURE) +
+  geom_vline(xintercept = 0)</code></pre>
+<div class="figure"><span id="fig:checkEnergy"></span>
+<img 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" alt="Histogram of ENERGY_CONSUMPTION_CURRENT" width="672" />
+<p class="caption">
+Figure 3.3: Histogram of ENERGY_CONSUMPTION_CURRENT
+</p>
+</div>
+<pre class="r"><code>underZero &lt;- nrow(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT &lt; 0])
+
+t &lt;- with(sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT &lt; 0],
+     table(BUILT_FORM,TENURE))
+
+
+kableExtra::kable(t, caption = &quot;Properties with ENERGY_CONSUMPTION_CURRENT &lt; 0&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:checkEnergy">Table 3.4: </span>Properties with ENERGY_CONSUMPTION_CURRENT &lt; 0
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:right;">
+</th>
+<th style="text-align:right;">
+owner-occupied
+</th>
+<th style="text-align:right;">
+rental (social)
+</th>
+<th style="text-align:right;">
+unknown
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Detached
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+End-Terrace
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Mid-Terrace
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+NO DATA!
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Semi-Detached
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code># do we think this is caused by solar/wind?
+sotonUniqueEPCsDT[, hasWind := ifelse(WIND_TURBINE_COUNT &gt; 0, &quot;Yes&quot;, &quot;No&quot;)]
+#table(sotonUniqueEPCsDT$hasWind)
+sotonUniqueEPCsDT[, hasPV := ifelse(PHOTO_SUPPLY &gt;0, &quot;Yes&quot;, &quot;No&quot;)]
+#table(sotonUniqueEPCsDT$hasPV)
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT &lt; 0, &quot;-ve kWh/y&quot;, NA)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT == 0, &quot;0 kWh/y&quot;, consFlag)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT &gt; 0 &amp; 
+                                     ENERGY_CONSUMPTION_CURRENT &lt;= 1, &quot;0-1 kWh/y&quot;, consFlag)]
+sotonUniqueEPCsDT[, consFlag := ifelse(ENERGY_CONSUMPTION_CURRENT &gt; 1, &quot;1+ kWh/y&quot;, consFlag)]
+
+t &lt;- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(consFlag, hasWind, hasPV)]
+
+kableExtra::kable(t, caption = &quot;Properties in ENERGY_CONSUMPTION_CURRENT category by presence of microgeneration&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:checkEnergy">Table 3.4: </span>Properties in ENERGY_CONSUMPTION_CURRENT category by presence of microgeneration
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+consFlag
+</th>
+<th style="text-align:left;">
+hasWind
+</th>
+<th style="text-align:left;">
+hasPV
+</th>
+<th style="text-align:right;">
+nObs
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+-ve kWh/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+5
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+-ve kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+15
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 kWh/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+5549
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+33014
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+32534
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:right;">
+447
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+6
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ kWh/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+28
+</td>
+</tr>
+</tbody>
+</table>
+<p>There are only 20 dwellings where ENERGY_CONSUMPTION_CURRENT &lt; 0 and none of them seem to have PV or a wind turbine so we can probably ignore them.</p>
+<pre class="r"><code># repeat with a density plot to allow easy overlap 
+# exclude those with no data
+ggplot2::ggplot(sotonUniqueEPCsDT[TENURE != &quot;NO DATA!&quot; &amp;
+                           TENURE != &quot;unknown&quot; &amp;
+                           TENURE != &quot;&quot;], aes(x = ENERGY_CONSUMPTION_CURRENT, 
+                                              fill = TENURE, alpha = 0.2)) +
+  geom_density() +
+  facet_wrap(~BUILT_FORM) +
+  guides(alpha = FALSE) +
+  theme(legend.position = &quot;bottom&quot;)</code></pre>
+<div class="figure"><span id="fig:energyTenure"></span>
+<img src="data:image/png;base64,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" alt="Comparing distributions of ENERGY_CONSUMPTION_CURRENT by tenure and built form" width="672" />
+<p class="caption">
+Figure 3.4: Comparing distributions of ENERGY_CONSUMPTION_CURRENT by tenure and built form
+</p>
+</div>
+</div>
+<div id="check-co2_emissions_current" class="section level2">
+<h2><span class="header-section-number">3.3</span> Check CO2_EMISSIONS_CURRENT</h2>
+<p>Next we do the same for current emissions. Repeat the coding for total floor area using 0 and 1 TCO2/y as the threshold of interest.</p>
+<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = CO2_EMISSIONS_CURRENT)) +
+  geom_histogram(binwidth = 1)</code></pre>
+<div class="figure"><span id="fig:checkEmissions"></span>
+<img 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" alt="Histogram of CO2_EMISSIONS_CURRENT" width="672" />
+<p class="caption">
+Figure 3.5: Histogram of CO2_EMISSIONS_CURRENT
+</p>
+</div>
+<pre class="r"><code>nZeroEmissions &lt;- nrow(sotonUniqueEPCsDT[CO2_EMISSIONS_CURRENT &lt; 0])
+
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT &lt; 0, &quot;-ve CO2/y&quot;, NA)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT == 0, &quot;0 CO2/y&quot;, emissionsFlag)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT &gt; 0 &amp; 
+                                     CO2_EMISSIONS_CURRENT &lt;= 1, &quot;0-1 TCO2/y&quot;, emissionsFlag)]
+sotonUniqueEPCsDT[, emissionsFlag := ifelse(CO2_EMISSIONS_CURRENT &gt; 1, &quot;1+ TCO2/y&quot;, emissionsFlag)]
+
+t &lt;- sotonUniqueEPCsDT[, .(nObs = .N), keyby = .(emissionsFlag, hasWind, hasPV)]
+
+kableExtra::kable(t, caption = &quot;Properties with CO2_EMISSIONS_CURRENT &lt; 0 by presence of microgeneration&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:checkEmissions">Table 3.5: </span>Properties with CO2_EMISSIONS_CURRENT &lt; 0 by presence of microgeneration
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+emissionsFlag
+</th>
+<th style="text-align:left;">
+hasWind
+</th>
+<th style="text-align:left;">
+hasPV
+</th>
+<th style="text-align:right;">
+nObs
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+-ve CO2/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+4
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+-ve CO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+16
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+-ve CO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+2
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 CO2/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+5
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 CO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+3445
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+1941
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+532
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:right;">
+19
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+1
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+2101
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+31072
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+32000
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:right;">
+428
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+5
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:left;">
+Yes
+</td>
+<td style="text-align:left;">
+No
+</td>
+<td style="text-align:right;">
+27
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>kableExtra::kable(round(100*(prop.table(table(sotonUniqueEPCsDT$emissionsFlag, 
+                                              sotonUniqueEPCsDT$consFlag, 
+                                              useNA = &quot;always&quot;)
+                                        )
+                             )
+                        ,2)
+                  , caption = &quot;% properties in CO2_EMISSIONS_CURRENT categories by ENERGY_CONSUMPTION_CURRENT categories&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:checkEmissions">Table 3.5: </span>% properties in CO2_EMISSIONS_CURRENT categories by ENERGY_CONSUMPTION_CURRENT categories
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:right;">
+-ve kWh/y
+</th>
+<th style="text-align:right;">
+0 kWh/y
+</th>
+<th style="text-align:right;">
+1+ kWh/y
+</th>
+<th style="text-align:right;">
+NA
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+-ve CO2/y
+</td>
+<td style="text-align:right;">
+0.03
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0 CO2/y
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-1 TCO2/y
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+8.29
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+1+ TCO2/y
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+91.67
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+NA
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+</tbody>
+</table>
+<p>There are 22 properties with 0 or negative emissions. It looks like they are also the properties with -ve kWh as we might expect. So we can safely ignore them.</p>
+</div>
+<div id="check-environment_impact_current" class="section level2">
+<h2><span class="header-section-number">3.4</span> Check ENVIRONMENT_IMPACT_CURRENT</h2>
+<p><code>Environmental impact</code> should decrease as emissions increase.</p>
+<pre class="r"><code>ggplot2::ggplot(allEPCs_DT, aes(x = ENVIRONMENT_IMPACT_CURRENT)) +
+  geom_histogram()</code></pre>
+<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
+<div class="figure"><span id="fig:checkImpact"></span>
+<img src="data:image/png;base64,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" alt="Histogram of ENVIRONMENT_IMPACT_CURRENT" width="672" />
+<p class="caption">
+Figure 3.6: Histogram of ENVIRONMENT_IMPACT_CURRENT
+</p>
+</div>
+<p>So what is the relationship between ENVIRONMENT_IMPACT_CURRENT and CO2_EMISSIONS_CURRENT? It is not linear… (Figure <a href="#fig:checkEmissionsImpact">3.7</a>) and there are some interesting outliers.</p>
+<pre class="r"><code>ggplot2::ggplot(allEPCs_DT, aes(x = CO2_EMISSIONS_CURRENT, 
+                           y = ENVIRONMENT_IMPACT_CURRENT,
+                           colour = TENURE)) +
+  geom_point() +
+  facet_wrap(TENURE~.) +
+  theme(legend.position = &quot;bottom&quot;)</code></pre>
+<div class="figure"><span id="fig:checkEmissionsImpact"></span>
+<img 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" alt="PLot of ENVIRONMENT_IMPACT_CURRENT vs CO2_EMISSIONS_CURRENT" width="672" />
+<p class="caption">
+Figure 3.7: PLot of ENVIRONMENT_IMPACT_CURRENT vs CO2_EMISSIONS_CURRENT
+</p>
+</div>
+</div>
+<div id="check-total_floor_area" class="section level2">
+<h2><span class="header-section-number">3.5</span> Check TOTAL_FLOOR_AREA</h2>
+<p>Repeat the coding for total floor area using 5 m2 as the threshold of interest.</p>
+<pre class="r"><code>ggplot2::ggplot(sotonUniqueEPCsDT, aes(x = TOTAL_FLOOR_AREA)) +
+  geom_histogram(binwidth = 1)</code></pre>
+<div class="figure"><span id="fig:checkFloorArea"></span>
+<img 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" alt="Histogram of TOTAL_FLOOR_AREA" width="672" />
+<p class="caption">
+Figure 3.8: Histogram of TOTAL_FLOOR_AREA
+</p>
+</div>
+<pre class="r"><code>nZeroFloorArea &lt;- nrow(sotonUniqueEPCsDT[TOTAL_FLOOR_AREA &lt; 0])
+
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA == 0, &quot;0 m2&quot;, NA)]
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA &gt; 0 &amp; 
+                                     TOTAL_FLOOR_AREA &lt;= 10, &quot;0-5 m2&quot;, floorFlag)]
+sotonUniqueEPCsDT[, floorFlag := ifelse(TOTAL_FLOOR_AREA &gt; 10, &quot;5+ m2&quot;, floorFlag)]
+
+t &lt;- with(sotonUniqueEPCsDT, table(floorFlag, consFlag))
+
+kableExtra::kable(round(100*prop.table(t),2), caption = &quot;% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:checkFloorArea">Table 3.6: </span>% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:right;">
+-ve kWh/y
+</th>
+<th style="text-align:right;">
+0 kWh/y
+</th>
+<th style="text-align:right;">
+1+ kWh/y
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+0 m2
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.10
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-5 m2
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.02
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+5+ m2
+</td>
+<td style="text-align:right;">
+0.03
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+99.86
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA, 
+                                    ENERGY_CONSUMPTION_CURRENT)][order(-TOTAL_FLOOR_AREA)], 10), 
+                  caption = &quot;Top 10 by floor area (largest)&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:checkFloorArea">Table 3.6: </span>Top 10 by floor area (largest)
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+BUILDING_REFERENCE_NUMBER
+</th>
+<th style="text-align:left;">
+PROPERTY_TYPE
+</th>
+<th style="text-align:right;">
+TOTAL_FLOOR_AREA
+</th>
+<th style="text-align:right;">
+ENERGY_CONSUMPTION_CURRENT
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+4.697565e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+1353.680
+</td>
+<td style="text-align:right;">
+140
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1.894551e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+1123.000
+</td>
+<td style="text-align:right;">
+120
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.846111e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+973.210
+</td>
+<td style="text-align:right;">
+522
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+2.559778e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+861.360
+</td>
+<td style="text-align:right;">
+279
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+8.172097e-315
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+855.000
+</td>
+<td style="text-align:right;">
+170
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.440838e-315
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+846.421
+</td>
+<td style="text-align:right;">
+161
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.076249e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+800.000
+</td>
+<td style="text-align:right;">
+185
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1.933817e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+796.000
+</td>
+<td style="text-align:right;">
+216
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1.280057e-314
+</td>
+<td style="text-align:left;">
+House
+</td>
+<td style="text-align:right;">
+714.000
+</td>
+<td style="text-align:right;">
+224
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+2.444460e-314
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+694.000
+</td>
+<td style="text-align:right;">
+88
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>kableExtra::kable(head(sotonUniqueEPCsDT[, .(BUILDING_REFERENCE_NUMBER, PROPERTY_TYPE, TOTAL_FLOOR_AREA,
+                                    ENERGY_CONSUMPTION_CURRENT)][order(TOTAL_FLOOR_AREA)], 10), 
+                  caption = &quot;Bottom 10 by floor area (smallest)&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:checkFloorArea">Table 3.6: </span>Bottom 10 by floor area (smallest)
+</caption>
+<thead>
+<tr>
+<th style="text-align:right;">
+BUILDING_REFERENCE_NUMBER
+</th>
+<th style="text-align:left;">
+PROPERTY_TYPE
+</th>
+<th style="text-align:right;">
+TOTAL_FLOOR_AREA
+</th>
+<th style="text-align:right;">
+ENERGY_CONSUMPTION_CURRENT
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:right;">
+9.111592e-316
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+104
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+3.102124e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+58
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+3.294384e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+110
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+3.695003e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+70
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.369619e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+119
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+4.371685e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+7.302298e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+115
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+9.515727e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+144
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+9.562249e-315
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+103
+</td>
+</tr>
+<tr>
+<td style="text-align:right;">
+1.059979e-314
+</td>
+<td style="text-align:left;">
+Flat
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+117
+</td>
+</tr>
+</tbody>
+</table>
+<pre class="r"><code>kableExtra::kable(round(100*prop.table(t),2), caption = &quot;% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category&quot;)</code></pre>
+<table>
+<caption>
+<span id="tab:checkFloorArea">Table 3.6: </span>% properties with TOTAL_FLOOR_AREA category by ENERGY_CONSUMPTION_CURRENT category
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:right;">
+-ve kWh/y
+</th>
+<th style="text-align:right;">
+0 kWh/y
+</th>
+<th style="text-align:right;">
+1+ kWh/y
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+0 m2
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.10
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+0-5 m2
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+0.02
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+5+ m2
+</td>
+<td style="text-align:right;">
+0.03
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+99.86
+</td>
+</tr>
+</tbody>
+</table>
+<p><a href="#tab:checkEmissions">3.5</a> shows that the properties with floor area of &lt; 10m2 are not necessarily the ones with 0 or negative kWh values. Nevertheless they represent a small proportion of all properties.</p>
+<p>The scale of the x axis also suggests a few very large properties.</p>
+</div>
+<div id="data-summary" class="section level2">
+<h2><span class="header-section-number">3.6</span> Data summary</h2>
+<p>We have identified some issues with a small number of the properties in the EPC dataset. These are not unexpected given that much of the estimates rely on partial or presumed data. Data entry errors are also quite likely. As a result we exclude:</p>
+<ul>
+<li>any property where ENERGY_CONSUMPTION_CURRENT &lt;= 0</li>
+<li>any property where TOTAL_FLOOR_AREA &lt;= 5</li>
+<li>any property where CO2_EMISSIONS_CURRENT &lt;= 0</li>
+</ul>
+<pre class="r"><code>finalDT &lt;- sotonUniqueEPCsDT[ENERGY_CONSUMPTION_CURRENT &gt; 0 &amp;
+                      TOTAL_FLOOR_AREA &gt; 5 &amp;
+                      CO2_EMISSIONS_CURRENT &gt; 0]
+
+skimr::skim(finalDT)</code></pre>
+<pre><code>## Warning: Couldn&#39;t find skimmers for class: integer64; No user-defined `sfl` provided. Falling back to
+## `character`.</code></pre>
+<table style="width: auto;" class="table table-condensed">
+<caption>
+<span id="tab:finalData">Table 3.7: </span>Data summary
+</caption>
+<thead>
+<tr>
+<th style="text-align:left;">
+</th>
+<th style="text-align:left;">
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+Name
+</td>
+<td style="text-align:left;">
+finalDT
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Number of rows
+</td>
+<td style="text-align:left;">
+71502
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Number of columns
+</td>
+<td style="text-align:left;">
+24
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+_______________________
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Column type frequency:
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+character
+</td>
+<td style="text-align:left;">
+12
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Date
+</td>
+<td style="text-align:left;">
+2
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+numeric
+</td>
+<td style="text-align:left;">
+10
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+________________________
+</td>
+<td style="text-align:left;">
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+Group variables
+</td>
+<td style="text-align:left;">
+None
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: character</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:right;">
+min
+</th>
+<th style="text-align:right;">
+max
+</th>
+<th style="text-align:right;">
+empty
+</th>
+<th style="text-align:right;">
+n_unique
+</th>
+<th style="text-align:right;">
+whitespace
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+BUILDING_REFERENCE_NUMBER
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+17
+</td>
+<td style="text-align:right;">
+21
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71502
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+LMK_KEY
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+29
+</td>
+<td style="text-align:right;">
+34
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+71502
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+PROPERTY_TYPE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+4
+</td>
+<td style="text-align:right;">
+10
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+5
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+BUILT_FORM
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+20
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+7
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+TENURE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+16
+</td>
+<td style="text-align:right;">
+1905
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+POSTCODE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+5105
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+LOCAL_AUTHORITY_LABEL
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+11
+</td>
+<td style="text-align:right;">
+11
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+hasWind
+</td>
+<td style="text-align:right;">
+5546
+</td>
+<td style="text-align:right;">
+0.92
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+hasPV
+</td>
+<td style="text-align:right;">
+38495
+</td>
+<td style="text-align:right;">
+0.46
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+3
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+consFlag
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+8
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+emissionsFlag
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+9
+</td>
+<td style="text-align:right;">
+10
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+floorFlag
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+5
+</td>
+<td style="text-align:right;">
+6
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+2
+</td>
+<td style="text-align:right;">
+0
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: Date</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:left;">
+min
+</th>
+<th style="text-align:left;">
+max
+</th>
+<th style="text-align:left;">
+median
+</th>
+<th style="text-align:right;">
+n_unique
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+LODGEMENT_DATE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+2008-10-01
+</td>
+<td style="text-align:left;">
+2020-06-30
+</td>
+<td style="text-align:left;">
+2014-10-22
+</td>
+<td style="text-align:right;">
+4132
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+INSPECTION_DATE
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:left;">
+2007-03-02
+</td>
+<td style="text-align:left;">
+2020-06-30
+</td>
+<td style="text-align:left;">
+2014-10-14
+</td>
+<td style="text-align:right;">
+3906
+</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Variable type: numeric</strong></p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left;">
+skim_variable
+</th>
+<th style="text-align:right;">
+n_missing
+</th>
+<th style="text-align:right;">
+complete_rate
+</th>
+<th style="text-align:right;">
+mean
+</th>
+<th style="text-align:right;">
+sd
+</th>
+<th style="text-align:right;">
+p0
+</th>
+<th style="text-align:right;">
+p25
+</th>
+<th style="text-align:right;">
+p50
+</th>
+<th style="text-align:right;">
+p75
+</th>
+<th style="text-align:right;">
+p100
+</th>
+<th style="text-align:left;">
+hist
+</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left;">
+ENVIRONMENT_IMPACT_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+62.51
+</td>
+<td style="text-align:right;">
+15.72
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+52.0
+</td>
+<td style="text-align:right;">
+63.00
+</td>
+<td style="text-align:right;">
+73
+</td>
+<td style="text-align:right;">
+100.00
+</td>
+<td style="text-align:left;">
+▁▂▆▇▂
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+ENERGY_CONSUMPTION_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+263.23
+</td>
+<td style="text-align:right;">
+140.47
+</td>
+<td style="text-align:right;">
+4.00
+</td>
+<td style="text-align:right;">
+174.0
+</td>
+<td style="text-align:right;">
+233.00
+</td>
+<td style="text-align:right;">
+327
+</td>
+<td style="text-align:right;">
+1597.00
+</td>
+<td style="text-align:left;">
+▇▂▁▁▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+CO2_EMISSIONS_CURRENT
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+3.17
+</td>
+<td style="text-align:right;">
+1.94
+</td>
+<td style="text-align:right;">
+0.10
+</td>
+<td style="text-align:right;">
+1.8
+</td>
+<td style="text-align:right;">
+2.85
+</td>
+<td style="text-align:right;">
+4
+</td>
+<td style="text-align:right;">
+77.00
+</td>
+<td style="text-align:left;">
+▇▁▁▁▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+PHOTO_SUPPLY
+</td>
+<td style="text-align:right;">
+38495
+</td>
+<td style="text-align:right;">
+0.46
+</td>
+<td style="text-align:right;">
+0.59
+</td>
+<td style="text-align:right;">
+5.11
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+100.00
+</td>
+<td style="text-align:left;">
+▇▁▁▁▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+WIND_TURBINE_COUNT
+</td>
+<td style="text-align:right;">
+5546
+</td>
+<td style="text-align:right;">
+0.92
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.02
+</td>
+<td style="text-align:right;">
+-1.00
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:left;">
+▁▁▇▁▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+TOTAL_FLOOR_AREA
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+73.05
+</td>
+<td style="text-align:right;">
+34.86
+</td>
+<td style="text-align:right;">
+5.85
+</td>
+<td style="text-align:right;">
+49.0
+</td>
+<td style="text-align:right;">
+69.00
+</td>
+<td style="text-align:right;">
+87
+</td>
+<td style="text-align:right;">
+1353.68
+</td>
+<td style="text-align:left;">
+▇▁▁▁▁
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+epcIsSocialRent
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+0.21
+</td>
+<td style="text-align:right;">
+0.40
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:left;">
+▇▁▁▁▂
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+epcIsPrivateRent
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+0.27
+</td>
+<td style="text-align:right;">
+0.44
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:left;">
+▇▁▁▁▃
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+epcIsOwnerOcc
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+0.41
+</td>
+<td style="text-align:right;">
+0.49
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+1
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:left;">
+▇▁▁▁▆
+</td>
+</tr>
+<tr>
+<td style="text-align:left;">
+epcIsUnknownTenure
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:right;">
+0.04
+</td>
+<td style="text-align:right;">
+0.19
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0.0
+</td>
+<td style="text-align:right;">
+0.00
+</td>
+<td style="text-align:right;">
+0
+</td>
+<td style="text-align:right;">
+1.00
+</td>
+<td style="text-align:left;">
+▇▁▁▁▁
+</td>
+</tr>
+</tbody>
+</table>
+<p>This leaves us with a total of 71,502 properties.</p>
+<pre class="r"><code>of &lt;- path.expand(&quot;~/data/EW_epc/domestic-E06000045-Southampton/finalClean.csv&quot;)
+data.table::fwrite(finalDT, file = of)
+
+message(&quot;Gziping &quot;, of)</code></pre>
+<pre><code>## Gziping /Users/ben/data/EW_epc/domestic-E06000045-Southampton/finalClean.csv</code></pre>
+<pre class="r"><code># Gzip it
+# in case it fails (it will on windows - you will be left with a .csv file)
+try(system( paste0(&quot;gzip -f &#39;&quot;, of,&quot;&#39;&quot;))) # include &#39; or it breaks on spaces
+message(&quot;Gzipped &quot;, of)</code></pre>
+<pre><code>## Gzipped /Users/ben/data/EW_epc/domestic-E06000045-Southampton/finalClean.csv</code></pre>
+</div>
+</div>
+<div id="r-packages-used" class="section level1">
+<h1><span class="header-section-number">4</span> R packages used</h1>
+<ul>
+<li>rmarkdown <span class="citation">(Allaire et al. 2018)</span></li>
+<li>bookdown <span class="citation">(Xie 2016a)</span></li>
+<li>knitr <span class="citation">(Xie 2016b)</span></li>
+<li>data.table <span class="citation">(Dowle et al. 2015)</span></li>
+<li>ggplot2 <span class="citation">(Wickham 2009)</span></li>
+<li>kableExtra <span class="citation">(Zhu 2018)</span></li>
+<li>readxl <span class="citation">(Wickham and Bryan 2017)</span></li>
+</ul>
+</div>
+<div id="references" class="section level1 unnumbered">
+<h1>References</h1>
+<div id="refs" class="references">
+<div id="ref-rmarkdown">
+<p>Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, and Winston Chang. 2018. <em>Rmarkdown: Dynamic Documents for R</em>. <a href="https://CRAN.R-project.org/package=rmarkdown">https://CRAN.R-project.org/package=rmarkdown</a>.</p>
+</div>
+<div id="ref-data.table">
+<p>Dowle, M, A Srinivasan, T Short, S Lianoglou with contributions from R Saporta, and E Antonyan. 2015. <em>Data.table: Extension of Data.frame</em>. <a href="https://CRAN.R-project.org/package=data.table">https://CRAN.R-project.org/package=data.table</a>.</p>
+</div>
+<div id="ref-ggplot2">
+<p>Wickham, Hadley. 2009. <em>Ggplot2: Elegant Graphics for Data Analysis</em>. Springer-Verlag New York. <a href="http://ggplot2.org">http://ggplot2.org</a>.</p>
+</div>
+<div id="ref-readxl">
+<p>Wickham, Hadley, and Jennifer Bryan. 2017. <em>Readxl: Read Excel Files</em>. <a href="https://CRAN.R-project.org/package=readxl">https://CRAN.R-project.org/package=readxl</a>.</p>
+</div>
+<div id="ref-bookdown">
+<p>Xie, Yihui. 2016a. <em>Bookdown: Authoring Books and Technical Documents with R Markdown</em>. Boca Raton, Florida: Chapman; Hall/CRC. <a href="https://github.com/rstudio/bookdown">https://github.com/rstudio/bookdown</a>.</p>
+</div>
+<div id="ref-knitr">
+<p>———. 2016b. <em>Knitr: A General-Purpose Package for Dynamic Report Generation in R</em>. <a href="https://CRAN.R-project.org/package=knitr">https://CRAN.R-project.org/package=knitr</a>.</p>
+</div>
+<div id="ref-kableExtra">
+<p>Zhu, Hao. 2018. <em>KableExtra: Construct Complex Table with ’Kable’ and Pipe Syntax</em>. <a href="https://CRAN.R-project.org/package=kableExtra">https://CRAN.R-project.org/package=kableExtra</a>.</p>
+</div>
+</div>
+</div>
+
+
+
+</div>
+</div>
+
+</div>
+
+<script>
+
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