Explore a century of Olympic performance with confidence.
Upload curated datasets, run medal and participation analyses, build Matplotlib visualizations, and export branded PDF reports — all in one academic-grade workspace.
Everything you need for coursework & research
Modular analyses, governed datasets, and export tools designed for teaching and academic projects.
Medal intelligence
Totals by NOC, Top-N leaderboards, filters for year range, sport, and medal type with sortable tables.
Participation insights
Unique athletes vs entries, gender mix, and participation trends over time.
Athlete discovery
Partial-name search, medal summaries, and optional age distribution bins.
Visual analytics
Bar, line, and pie charts rendered locally with Matplotlib — save as PNG anytime.
Report builder
Compose sections from analyses and download PDF reports with your institution branding.
Governed platform
Admins upload datasets, enable modules, manage users, and review audit logs.
How it works
From signup to published report in four steps.
Create account
Register with email, set a security question, and access active datasets.
Select data
Preview schema quality, then open the analysis workspace for your dataset.
Run analyses
Apply filters, export CSV, generate charts, and add sections to reports.
Share results
Download PDF reports for submissions, presentations, or portfolio work.
Ready to analyze Olympic history?
Join researchers and students using structured, repeatable Python workflows.
Create account Admin sign inAbout this project
Olympic Games Data Analysis is built for University of Sports Science — Data Analytics Department. Stack: Flask, SQLAlchemy, Pandas, Matplotlib, ReportLab.