Animated pie race data visualization

The code in this repository allows you to visualize data in an animated pie race, using the sjvisualizer python library.

sjvisualizer is a data visualization and animation library for Python. Library: https://github.com/SjoerdTilmans/sjvisualizer

Author of the library https://github.com/SjoerdTilmans

Technical details

• The library only works with .png images.

• The images of the flags are added to the "assets" folder, so that the library can use them automatically.

• Colors for the chart can be defined in code or via a json file. In case the colors are not defined by any means, the library will assign them.

• Image positions and coordinates should be adapted to the size of the screen.

Prerequisites

This is the basic information to be able to execute the code.

You first need to have Python 3 and Pip 3 installed in your computer. Check here for the proper instructions and code:

https://www.python.org/downloads/

$ sudo apt install python3
$ sudo apt install python3-pip

Working on Windows:

• Installing the python library sjvisualizer.

pip install sjvisualizer

Working on Ubuntu:

• Installing the python library sjvisualizer.

$ sudo pip install sjvisualizer

• Installing Tkinter.

$ sudo apt install python3-tk

• Installing ImageTk.

$ sudo apt-get install python3-pil python3-pil.imagetk

Files

The code in this repository was written and tested in Python 3.

Files contained:

• The assets folder is used by the library to store the images of the country flags.

• The file co2_continent.xlsx and co2_country.xlsx inside the data folder contains all the data used for each graph.

• The Continent.py and Country.py files contain the Python code with the comments that will help you modify the graph.

Graph's

• CO₂ emissions per Continent.

• CO₂ emissions per Country.

License

sjvisualizer is released under the MIT License - see the LICENSE file for details.