Visualizations of CO2 emissions

The project's objectives

• Visualizations of a dataset on climate change.

We chose to work on CO2 emissions, and thus to respond to several issues:

• See that CO2 emissions have been constantly increasing since the industrial period.
• See the most polluting countries by year
• Correlation between CO2 emissions and the increase in temperature.

Skills

• D3.js for the visualizations on the web page.
• Data clean using Pandas
• sci-kit learn to calculate the correlations or to make the predictions

Dataset

• https://datahub.io/collections/climate-change

Reference Code sources

• circle packing (bubble chart) for D3.js: https://d3-wiki.readthedocs.io/zh_CN/master/Pack-Layout/
• Linear regression in JS: https://stackoverflow.com/questions/17407100/how-do-you-draw-linear-line-in-scatter-plot-with-d3-js
• Mouse circle detail: http://next.plnkr.co/edit/819nUOzwnR3nTEd6uSUK?p=preview&utm_source=legacy&utm_medium=worker&utm_campaign=next&preview

Project objectives

• See that CO2 emissions have been constantly increasing since the industrial period
• See the most polluting countries by year / since a given year
• Verification of the correlation between CO2 emissions and temperature increase.
• To see if there is a link between CO2 emissions and sea level rise