To visualise aspects of the chess variation chess960/Fischer Random, primarily: move tendencies varying by initial piece placement and where takes occur by piece. The finished product for games played in March 2021 is shown below. To take things further, it would be a good idea to analyse a larger number of games over a longer period of time. 336,189 games were played in March 2021, and therefore also analysed. This large sample size is most likely sufficient, but further testing is needed to confirm this.
From the Jupyter notebook "Chess-Visulization-And-Analysis": Creating a heatmap visualising the move tendencies requires us to, for every move in every game, count its' occurence. Generally, Python Pandas was used to handle the data, and the games were parsed and interpreted using the python-chess library.
The function outputting the image was written by Evan Zhang, and is here used in the final step of the project.
.