This Jupyter notebook is designed to consolidate and process fantasy baseball data from Yahoo. It helps analyze and track the performance of players and teams over the course of a fantasy baseball season. This project can be helpful for both beginners and advanced users interested in fantasy sports data analysis.
- Data Consolidation: Collects and merges data from Yahoo Fantasy Baseball into a usable format for analysis.
- Player Statistics: Tracks key statistics such as runs, home runs, RBIs, stolen bases, and batting averages.
- Team Rankings: Analyzes the performance of different teams and ranks them based on their players' performance.
- Visualization: Includes charts and visual representations of players' performance over time.
- Custom Metrics: Allows users to define custom metrics to better understand player and team performance.
Before running this notebook, make sure you have the following installed:
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Python 3.x
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Jupyter Notebook or Jupyter Lab
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Required Python libraries:
- pandas
- numpy
- matplotlib
- seaborn
- requests (or any specific libraries used to pull Yahoo data)
ChatGPT was used to write and edit this code