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DECC-git NEED
============

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Extract & analyse data from the anonymised & released versions of DECC's  NEED dataset.
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Original 'End User License' version of the data:
* available from: UK DATA ARCHIVE: Study Number 7518 - National Energy Efficiency Data-Framework, 2014
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http://discover.ukdataservice.ac.uk/catalogue/?sn=7518
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* Detailed documentation: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/332169/need_anonymised_dataset_accompanying_documentation.pdf
* Full coding details of variables at: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/315189/need_dataset_look_ups.xlsx
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Notes (mostly to self):
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* gas kwh are weather corrected within the 10 DNO distribution zones before delivery to DECC
* The End User License file (EULF) dataset is a sample of just over 4 million households 
* EULF is a semi-random sample of the 8m records which have an Energy Performance Certificate. 
 * It includes only those with valid values on key variables (Property Age, Property Type, Floor Area Band and Energy Efficiency Band) and (especially) valid observations for electricity in 2012. 
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 * Records were selected based on the frequency of household type in the dataset relative to the total dwelling stock so that uncommon property types (e.g. older detached properties) are over-represented and common types (e.g. flats where turnover is high) are under-represented. The supplied weight corrects for this for descriptive analysis. 
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 * Implications for sample bias unclear - there may be other systematic biases not captured by the weight?
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* UPRN = unique property reference = linkage mechanism across EPCs, gas/electricity data and EST data on energy efficiency installations (uses AddressBase)
 * hoping to add PV etc installations soon
* Bias caused by linkage failure is unknown although the DECC NEED Data Framework report from 2013 suggest match rates of 94%-100% (https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/209264/Annex_B_-_Quality_Assurance.pdf)
* Both gas and electricity consumption are rounded and the rounding range ('to nearest n') increases through the distributions (see https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/315189/need_dataset_look_ups.xlsx)
* the E/Gcons*valid variable codes:
 * 0 = off gas/elec
 * V = valid reading (gas range 100 - 50,000; electricity range = 100 - 25,000)
 * L = Gas consumption invalid, less than 100
 * M = Gas consumption data is missing in source data
 * G = Gas consumption invalid, greater than 50,000
 * NB - there are valid gas readings of '0' which presumably were > 100 by < 249 (first gas 'heap' = 'nearest 500')
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Notes to DECC (!)
* ideally could set missing to -99 to aid re-coding and avoid unpleasant surprises in naive analysis?
* can the consumption rounding be constant through the distributions?
* check coding of Gcons ref 0 values for 'valid' cases?
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YMMV