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Climate Data Application using R Shiny

Introduction

The purpose of this climate data application is to display historical data on CO2 emissions and temperature anomaly side by side in a cohesive way. The application contains three displays; a line graph, spiralized graph and world map.

Data

This application uses two datasets. The first is a dataset from the National Oceanic and Atmospheric Administration’s (NOAA) Global Historical Climatology Network. It contains global average temperature anomalies in degrees Celsius for every month from January 1880 to 2017. The data can be found at https://www.ncdc.noaa.gov/cag/data-info/global.

Displays

Line

The line graph plots two linear regressions, one for world average CO2 emissions over year and one for world average temperature anomaly over year. On the x-axis is year. The y-axis is a dual axis with tonnes per person on one side and temperature anomaly on the other. Using the side panel, the user will be able to select the year range to display.

  • Interactive Features: hovering the mouse over any point on the regression line will display the year and temperature anomaly or CO2 emission.

Spiralized Graph

The spiralized graph plots average CO2 emissions and average temperature anomaly. The color of the spiral represents the level of CO2 emission, and the distance from the center represents temperature anomaly. The graph is animated by year.

  • Interactive Features: hovering the mouse over any point on the spiralized graph will display the year, temperature anomaly and CO2 emission.

World Map

The world map plots CO2 emissions by country, with the fill being animated by year. Using the side panel, the user will be able to select the year range to animate.

  • Interactive Features: clicking on any colored area of the map will display the country name and CO2 emission level for that year.

About

An interactive R Shiny app for visualizing historical CO2 emissions and temperature anomaly

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