A Power BI data storytelling project that analyzes and visualizes data from Lahman's Baseball Database. The project creates an emotional connection with users through various custom visuals, KPIs, and comprehensive data exploration.
This Power BI project dives into the rich world of baseball using Lahman's Baseball Database. Leveraging the power of data storytelling, this project creates an emotional connection with the audience through various custom visuals, key performance indicators (KPIs), and in-depth data exploration.
- Storytelling: The project centers around storytelling, aiming to build an emotional connection with the audience through the visuals and analysis.
- Custom Visuals: Utilizes custom visuals like tables, scatter plots, bubble charts, and bar charts to effectively display data.
- Reduced Cognitive Load: Careful design and formatting of visuals to reduce cognitive load and enhance user experience.
- KPIs: Displays KPIs such as Team OBP versus Target by Year and Team Errors versus Target Errors by Year.
- Batting Trends and Player Comparisons: Analyzes and displays batting trends over time, including comparisons between leading players' batting averages.
This project extensively uses Power BI for data loading, transformation, visualization, and storytelling.
- Power BI: Used for data loading, transformation, visualization, and storytelling.
The dataset used in this project is Lahman's Baseball Database, a comprehensive database of baseball statistics.
- Introduce additional metrics and KPIs for more comprehensive analysis.
- Extend the project to cover other aspects of baseball data like pitching, fielding, and more.
This project welcomes contributions and suggestions. Feel free to fork the project and submit a pull request with your ideas and changes.