In this project I analyzed the role player age plays in esports. I pulled data from the LiquipediaDB API, processed it and analyzed with python and documented my process and findings. I cover 4 key areas:
- Data and Process
- Age distributions across games and time
- Career length
- The relationship between age and skill
As this is a data science project, the format is different from most software or hardware hacks. The work of the project was the collection, processing, and analysis of data, and the deliverable is a report with the description of process, analytical findings and story the data tells. I humbly ask the judges to read the report as my main submission.
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