Using the Chess.com API to collect all my chess games and analyze the data using Tableau(Python-Jupiter Notebook) EDA + cleaning datas (Python) Exporting datas in csv (Python) Visualization with Tableau
Improve my chess skills through data-driven insights with Tableau visualization.
- Which openings give me the best results?
- Which openings should i train?
- Do my results depend on the date(month)?
- Do my results depend on the time of day?
- How does my rating evolve over time in classical, rapid, and blitz formats?
- What is the ELO distribution of my opponents?
- Python(numpy,pandas,chess.com API)
- Tableau
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Which opening should i train ? B01(scandinavian defence) type opening is the most played opening it should be train but let's focus into details

D00(Queen's pawn opening) should be train because it's often played and my results aren't so good
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Do my results depend on the time? Seems that playing at 6AM gives me the best results but playing at 10PM is not a good idea (i'm kinda surprised)
Every month using python script which uses chess.com API