PythonStreamlitPlotlyPandas
FIFA World Cup Analysis (1930 - 2018)
By Sudarshan Awasthi • December 14, 2022
A historical data analysis project built with Python, Streamlit, and Plotly to visualize insights across World Cup events, years, and countries.
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Project Overview
The goal of this project was to analyze the FIFA World Cup data from 1930–2018 using public sources and generate insights in three layers:
- ▸Overall trends (events, wins, goals, scorers)
- ▸Year-wise statistics (host, winner, scoring)
- ▸Country-wise breakdown (performance & players)
Overall Analysis
Year-Wise Analysis
Sample analysis for the year 1930:
Country-Wise Analysis
Example: Germany's participation and stats over the years.
Hosting & Source Code
The project is deployed using Streamlit and hosted at:Streamlit Live App
GitHub Repository:View on GitHub