dc27/uk_ghg_emissions_dashboard

Interactive shiny dashboard exploring uk greenhouse-gas emissions using data from UK ONS.

Interactive Dashboard: UK Emissions by Industry

Introduction

This repository contains an interactive dashboard which allows users to explore the greenhouses gases emitted in the UK. The source of the data is: ONS 1990 - 2018 UK emissions. The interactive dashboard is live and hosted at: shinyapps.io.

Project and Aims

Data regarding the greenhouse gas emissions of various UK industries was made public by the Office for National Statistics. The aim of this project was to examine the dataset and create an interactive dashboard to display:

• the trend over time for a given emission type (GHG) and industry
• a breakdown of industries for a given year

Cleaning Process

For each GHG

1. The data is read from the atmoshpericemissionsghg.xls spreadsheet, which contains separate sheets relating to each GHG and a totals page.
2. The data is passed through a function that converts it to a tidier form by:
   • renaming columns to appropriate names
   • taking a subset of only the desired data
   • pivoting the data to long form
3. The clean and tidy data is written to a csv in the clean data directory

A new file was made to contain the total emissions across all industries for each GHG. These values were included in the raw data. Each GHG and the total of all GHGs is extracted from the raw data, cleaned and tidied as above, and then combined into one dataset containing all of the totals.

How to Run the Project

The dashboard is live and can be explored at shinyapps.io .

To run the project locally:

1. clone this repository
2. open the R project file: uk_emissions_dashboard.Rproj in RStudio.
3. Open either
   • ui.R
   • server.R
   • global.R
4. Click "Run App" or enter the command:

shiny::runApp()

Exploring the dashboard

The initial view of the dashboard:

There is additional information at the bottom of the dashboard. The decision was made to keep all of the information on one tab for ease of use.

At the top of the dashboard:

The user can select a particular greenhouse gas and the plots will update automatically:

On the left-hand side:

The user can select a particular industry and then the plot showing the emissions over time would be displayed.

On the right-hand side:

The user can also enter a year and then a plot showing a breakdown of all the industries and the emissions for each industry.

On the Industry Constituents tab:

The user selects a greenhouse gas, a year, and a degree of resolution. An adaptive sankey network illustrates the constituent elements of each industry. The user can hover over links or nodes on the network for more information.

Packages Used

The cleaning script and dashboard elements were written in R using RStudio, making use of the following packages.

Library	Version
tidyverse	1.3.0
assertthat	0.2.1
assertr	2.7
shiny	1.5.0
shinydashboard	0.7.1
RColorBrewer	1.1.2
networkD3	0.4