diff --git a/myFirstRMarkdown.html b/myFirstRMarkdown.html
index ed9c759eee0f788a1d7511380fc873fff5ff276f..cc5a83fde23f93d222951430de66dc12fa913f3d 100644
--- a/myFirstRMarkdown.html
+++ b/myFirstRMarkdown.html
@@ -218,7 +218,7 @@ div.tocify {
<h1 class="title toc-ignore">myFirstRMarkdown</h1>
<h4 class="author"><em>Ben Anderson (<a href="mailto:b.anderson@soton.ac.uk">b.anderson@soton.ac.uk</a> <code>@dataknut</code>)</em></h4>
-<h4 class="date"><em>Last run at: 2018-03-28 23:00:54</em></h4>
+<h4 class="date"><em>Last run at: 2018-03-29 14:44:06</em></h4>
</div>
@@ -231,7 +231,7 @@ div.tocify {
<div id="load-data" class="section level1">
<h1><span class="header-section-number">2</span> Â Load data</h1>
<p>You can embed an R code chunk like this:</p>
-<pre class="r"><code>generationDTorig <- fread("https://www.emi.ea.govt.nz/Wholesale/Datasets/Generation/Generation_MD/201801_Generation_MD.csv")
+<pre class="r"><code>generationDTorig <- fread("https://www.emi.ea.govt.nz/Wholesale/Datasets/Generation/Generation_MD/201712_Generation_MD.csv")
# reshape the data as it comes in a rather unhelpful form
generationDT <- melt(generationDTorig,
@@ -251,7 +251,7 @@ generationDT <- melt(generationDTorig,
<p>You can also embed tables, for example:</p>
<pre class="r"><code>summary(generationDT)</code></pre>
<pre><code>## Site_Code POC_Code Nwk_Code
-## Length:108500 Length:108500 Length:108500
+## Length:108400 Length:108400 Length:108400
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
@@ -259,7 +259,7 @@ generationDT <- melt(generationDTorig,
##
##
## Gen_Code Fuel_Code Tech_Code
-## Length:108500 Length:108500 Length:108500
+## Length:108400 Length:108400 Length:108400
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
@@ -267,13 +267,13 @@ generationDT <- melt(generationDTorig,
##
##
## Trading_date Time_Period MW rDate
-## Length:108500 TP1 : 2170 Min. : 0 Min. :2018-01-01
-## Class :character TP2 : 2170 1st Qu.: 3956 1st Qu.:2018-01-08
-## Mode :character TP3 : 2170 Median : 15763 Median :2018-01-16
-## TP4 : 2170 Mean : 31579 Mean :2018-01-16
-## TP5 : 2170 3rd Qu.: 38806 3rd Qu.:2018-01-24
-## TP6 : 2170 Max. :277913 Max. :2018-01-31
-## (Other):95480 NA's :4340</code></pre>
+## Length:108400 TP1 : 2168 Min. : 0 Min. :2017-12-01
+## Class :character TP2 : 2168 1st Qu.: 5731 1st Qu.:2017-12-08
+## Mode :character TP3 : 2168 Median : 17396 Median :2017-12-16
+## TP4 : 2168 Mean : 31915 Mean :2017-12-15
+## TP5 : 2168 3rd Qu.: 39572 3rd Qu.:2017-12-24
+## TP6 : 2168 Max. :278538 Max. :2017-12-31
+## (Other):95392 NA's :4336</code></pre>
<p>Or you can format the table nicely using the kable function from the knitr package:</p>
<pre class="r"><code>#Â note the chunk names needs to be unique
t <- summary(generationDT)
@@ -299,16 +299,16 @@ kable(t, caption = "Summary table")</code></pre>
<tbody>
<tr class="odd">
<td></td>
-<td align="center">Length:108500</td>
-<td align="center">Length:108500</td>
-<td align="center">Length:108500</td>
-<td align="center">Length:108500</td>
-<td align="center">Length:108500</td>
-<td align="center">Length:108500</td>
-<td align="left">Length:108500</td>
-<td align="center">TP1 : 2170</td>
+<td align="center">Length:108400</td>
+<td align="center">Length:108400</td>
+<td align="center">Length:108400</td>
+<td align="center">Length:108400</td>
+<td align="center">Length:108400</td>
+<td align="center">Length:108400</td>
+<td align="left">Length:108400</td>
+<td align="center">TP1 : 2168</td>
<td align="center">Min. : 0</td>
-<td align="center">Min. :2018-01-01</td>
+<td align="center">Min. :2017-12-01</td>
</tr>
<tr class="even">
<td></td>
@@ -319,9 +319,9 @@ kable(t, caption = "Summary table")</code></pre>
<td align="center">Class :character</td>
<td align="center">Class :character</td>
<td align="left">Class :character</td>
-<td align="center">TP2 : 2170</td>
-<td align="center">1st Qu.: 3956</td>
-<td align="center">1st Qu.:2018-01-08</td>
+<td align="center">TP2 : 2168</td>
+<td align="center">1st Qu.: 5731</td>
+<td align="center">1st Qu.:2017-12-08</td>
</tr>
<tr class="odd">
<td></td>
@@ -332,9 +332,9 @@ kable(t, caption = "Summary table")</code></pre>
<td align="center">Mode :character</td>
<td align="center">Mode :character</td>
<td align="left">Mode :character</td>
-<td align="center">TP3 : 2170</td>
-<td align="center">Median : 15763</td>
-<td align="center">Median :2018-01-16</td>
+<td align="center">TP3 : 2168</td>
+<td align="center">Median : 17396</td>
+<td align="center">Median :2017-12-16</td>
</tr>
<tr class="even">
<td></td>
@@ -345,9 +345,9 @@ kable(t, caption = "Summary table")</code></pre>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="left">NA</td>
-<td align="center">TP4 : 2170</td>
-<td align="center">Mean : 31579</td>
-<td align="center">Mean :2018-01-16</td>
+<td align="center">TP4 : 2168</td>
+<td align="center">Mean : 31915</td>
+<td align="center">Mean :2017-12-15</td>
</tr>
<tr class="odd">
<td></td>
@@ -358,9 +358,9 @@ kable(t, caption = "Summary table")</code></pre>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="left">NA</td>
-<td align="center">TP5 : 2170</td>
-<td align="center">3rd Qu.: 38806</td>
-<td align="center">3rd Qu.:2018-01-24</td>
+<td align="center">TP5 : 2168</td>
+<td align="center">3rd Qu.: 39572</td>
+<td align="center">3rd Qu.:2017-12-24</td>
</tr>
<tr class="even">
<td></td>
@@ -371,9 +371,9 @@ kable(t, caption = "Summary table")</code></pre>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="left">NA</td>
-<td align="center">TP6 : 2170</td>
-<td align="center">Max. :277913</td>
-<td align="center">Max. :2018-01-31</td>
+<td align="center">TP6 : 2168</td>
+<td align="center">Max. :278538</td>
+<td align="center">Max. :2017-12-31</td>
</tr>
<tr class="odd">
<td></td>
@@ -384,8 +384,8 @@ kable(t, caption = "Summary table")</code></pre>
<td align="center">NA</td>
<td align="center">NA</td>
<td align="left">NA</td>
-<td align="center">(Other):95480</td>
-<td align="center">NA’s :4340</td>
+<td align="center">(Other):95392</td>
+<td align="center">NA’s :4336</td>
<td align="center">NA</td>
</tr>
</tbody>
diff --git a/myFirstRMarkdown.md b/myFirstRMarkdown.md
index 48ec0870fd533207c1117c002b8c56f04fc53cc9..e2b7e722edd8179fb1f596f4cfc4107fcd6bbccb 100644
--- a/myFirstRMarkdown.md
+++ b/myFirstRMarkdown.md
@@ -1,8 +1,8 @@
---
title: "myFirstRMarkdown"
author: "Ben Anderson (b.anderson@soton.ac.uk `@dataknut`)"
-date: 'Last run at: 2018-03-28 23:00:54'
-output:
+date: 'Last run at: 2018-03-29 14:44:06'
+output:
html_document:
fig_caption: yes
keep_md: yes
@@ -26,7 +26,7 @@ You can embed an R code chunk like this:
```r
-generationDTorig <- fread("https://www.emi.ea.govt.nz/Wholesale/Datasets/Generation/Generation_MD/201801_Generation_MD.csv")
+generationDTorig <- fread("https://www.emi.ea.govt.nz/Wholesale/Datasets/Generation/Generation_MD/201712_Generation_MD.csv")
# reshape the data as it comes in a rather unhelpful form
generationDT <- melt(generationDTorig,
@@ -59,7 +59,7 @@ summary(generationDT)
```
## Site_Code POC_Code Nwk_Code
-## Length:108500 Length:108500 Length:108500
+## Length:108400 Length:108400 Length:108400
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
@@ -67,7 +67,7 @@ summary(generationDT)
##
##
## Gen_Code Fuel_Code Tech_Code
-## Length:108500 Length:108500 Length:108500
+## Length:108400 Length:108400 Length:108400
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character
##
@@ -75,13 +75,13 @@ summary(generationDT)
##
##
## Trading_date Time_Period MW rDate
-## Length:108500 TP1 : 2170 Min. : 0 Min. :2018-01-01
-## Class :character TP2 : 2170 1st Qu.: 3956 1st Qu.:2018-01-08
-## Mode :character TP3 : 2170 Median : 15763 Median :2018-01-16
-## TP4 : 2170 Mean : 31579 Mean :2018-01-16
-## TP5 : 2170 3rd Qu.: 38806 3rd Qu.:2018-01-24
-## TP6 : 2170 Max. :277913 Max. :2018-01-31
-## (Other):95480 NA's :4340
+## Length:108400 TP1 : 2168 Min. : 0 Min. :2017-12-01
+## Class :character TP2 : 2168 1st Qu.: 5731 1st Qu.:2017-12-08
+## Mode :character TP3 : 2168 Median : 17396 Median :2017-12-16
+## TP4 : 2168 Mean : 31915 Mean :2017-12-15
+## TP5 : 2168 3rd Qu.: 39572 3rd Qu.:2017-12-24
+## TP6 : 2168 Max. :278538 Max. :2017-12-31
+## (Other):95392 NA's :4336
```
Or you can format the table nicely using the kable function from the knitr package:
@@ -100,13 +100,13 @@ Table: Summary table
Site_Code POC_Code Nwk_Code Gen_Code Fuel_Code Tech_Code Trading_date Time_Period MW rDate
--- ----------------- ----------------- ----------------- ----------------- ----------------- ----------------- ----------------- -------------- --------------- -------------------
- Length:108500 Length:108500 Length:108500 Length:108500 Length:108500 Length:108500 Length:108500 TP1 : 2170 Min. : 0 Min. :2018-01-01
- Class :character Class :character Class :character Class :character Class :character Class :character Class :character TP2 : 2170 1st Qu.: 3956 1st Qu.:2018-01-08
- Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character TP3 : 2170 Median : 15763 Median :2018-01-16
- NA NA NA NA NA NA NA TP4 : 2170 Mean : 31579 Mean :2018-01-16
- NA NA NA NA NA NA NA TP5 : 2170 3rd Qu.: 38806 3rd Qu.:2018-01-24
- NA NA NA NA NA NA NA TP6 : 2170 Max. :277913 Max. :2018-01-31
- NA NA NA NA NA NA NA (Other):95480 NA's :4340 NA
+ Length:108400 Length:108400 Length:108400 Length:108400 Length:108400 Length:108400 Length:108400 TP1 : 2168 Min. : 0 Min. :2017-12-01
+ Class :character Class :character Class :character Class :character Class :character Class :character Class :character TP2 : 2168 1st Qu.: 5731 1st Qu.:2017-12-08
+ Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character TP3 : 2168 Median : 17396 Median :2017-12-16
+ NA NA NA NA NA NA NA TP4 : 2168 Mean : 31915 Mean :2017-12-15
+ NA NA NA NA NA NA NA TP5 : 2168 3rd Qu.: 39572 3rd Qu.:2017-12-24
+ NA NA NA NA NA NA NA TP6 : 2168 Max. :278538 Max. :2017-12-31
+ NA NA NA NA NA NA NA (Other):95392 NA's :4336 NA
# Plot the data
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