-
Notifications
You must be signed in to change notification settings - Fork 0
/
uk-local-authority-carbon-emissions.Rmd
67 lines (51 loc) · 1.76 KB
/
uk-local-authority-carbon-emissions.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
---
title: "Analysing local authority carbon emissions"
output: html_notebook
---
# Task
Understanding how carbon emissions in local authorities has changed since 2005.
# Data sources
https://www.gov.uk/government/statistics/uk-local-authority-and-regional-carbon-dioxide-emissions-national-statistics-2005-to-2019
# Data preparation and processing
# Analysis
```{r}
library(tidyverse) #helps wrangle data
library(ggplot2) #helps visualize data
```
Load data:
```{r}
rawcarbon <- read_csv("csv/2005-19_Local_Authority_CO2_emissions.csv")
```
```{r}
# Let's start by picking out a single region, York
singleregion <- filter(rawcarbon, `Local Authority Code` == 'E06000014')
# Then let's check what years are in our dataset
unique(singleregion$`Calendar Year`)
# Visual check that summary total matches original dataset
test <- singleregion %>%
filter(`Calendar Year` == '2005')
sum(test$`Territorial emissions (kt CO2)`)
```
```{r}
# Let's summarise by total emmission per year across all categories for one LA
singleregionsummary <- singleregion %>%
group_by(`Calendar Year`) %>%
summarise(Total = sum(`Territorial emissions (kt CO2)`, na.rm = TRUE))
ggplot(singleregionsummary, aes(x = `Calendar Year`, y = Total)) +
geom_line(aes(), size = 1) +
theme_minimal() +
xlab("Year") + ylab("Territorial emissions (kt CO2)")
```
# TODO - all councils summary
```{r}
tmpcarbon <- rawcarbon %>%
group_by(`Local Authority Code`, `Calendar Year`) %>%
summarise(Total = sum(`Territorial emissions (kt CO2)`, na.rm = TRUE))
```
```{r}
library("reshape2")
carbonWide <- dcast(tmpcarbon, `Local Authority Code` ~ `Calendar Year`, value.var="Total")
```
# IDEAS
* A line graph for a single region but show the change per territorial emissions group
* Plot trend graph for all