IPL Player Analytics Dashboard
Budget: ₹100 – ₹400 INR
I already hold ball-by-ball data for every IPL season from 2008 through 2024 and I want it turned into an interactive Power BI experience, with Python (Pandas / Matplotlib) handling the heavy data prep and any custom visuals.
The first release will focus exclusively on player-centric insights. In particular I need a clean, visually engaging page that showcases the Orange Cap and Purple Cap leaders for each season. A comparative bar-chart layout works best here, paired with tooltips that surface supporting numbers (runs, wickets, matches played). Core report-level slicers—Season, Team, Player and Venue—must stay in sync so users can explore any perspective without losing context.
Please connect the model to my existing CSV files, write the necessary Python scripts to reshape and aggregate the data, and deliver the final PBIX plus the annotated code. A short read-me that explains refresh steps and how to extend the report to other sections (team win/loss, venue trends, etc.) will close the loop.
The first release will focus exclusively on player-centric insights. In particular I need a clean, visually engaging page that showcases the Orange Cap and Purple Cap leaders for each season. A comparative bar-chart layout works best here, paired with tooltips that surface supporting numbers (runs, wickets, matches played). Core report-level slicers—Season, Team, Player and Venue—must stay in sync so users can explore any perspective without losing context.
Please connect the model to my existing CSV files, write the necessary Python scripts to reshape and aggregate the data, and deliver the final PBIX plus the annotated code. A short read-me that explains refresh steps and how to extend the report to other sections (team win/loss, venue trends, etc.) will close the loop.
Related categories:
Python
Software Architecture
Database Development
Data Visualization
Data Analysis
Power BI
Pandas