Visualizing performance, development, and well-being through data.
This repository showcases a collection of Tableau visualization projects
focused on long-term trends in athletic performance, national competition,
and global development using real-world datasets.
Each project emphasizes data storytelling, comparative analysis, and visual clarity.
An analytical exploration of Olympic athletic performance and its relationship with economic indicators and national well-being.
Key Visualizations
-
🏃♂️ Men’s 100m Olympic Winning Time Trends
Time-series analysis highlighting performance evolution over decades -
🥇 Medal Rankings & Country Comparisons
Line and bump charts comparing medal counts and rank changes across countries -
🌍 GDP vs Happiness Analysis
Connected scatterplots examining the relationship between GDP per capita and national happiness scores
An exploration of long-term global development patterns using animated and multivariate visualization techniques.
Key Visualizations
-
🌐 GDP per Capita vs Life Expectancy
Gapminder-style animated bubble charts -
🔁 Country Development Trajectories
Connected scatterplots showing development paths over time -
🧠 Clustering & MDS Projection
K-Means clustering and Multidimensional Scaling (MDS) to compare development patterns
NYT-inspired visualizations and multivariate analysis of NBA player performance using Tableau and Python.
Key analyses include:
-
🏀 Top 250 NBA Scorers (Career Points)
Bar chart highlighting all-time scoring leaders with emphasis on LeBron James and Kareem Abdul-Jabbar -
📈 History of NBA Shot Selection
Line charts showing league-wide shifts in free throws, two-pointers, and three-pointers over time -
⏱ LeBron vs Kareem: Career Points by Age
Cumulative career scoring comparison using running totals -
🧠 Player Similarity & Outlier Detection
PCA and MDS projections of per-36 statistics, with LOF used to identify unusual player profiles
100m winning time trend
GDP per capita vs happiness
All-time scoring leaders
NBA historical shot selection
- Tableau (advanced dashboards & animations)
- Data visualization & storytelling
- Trend and comparative analysis
- Multivariate techniques (clustering, MDS)
- Visual design for explanatory analytics
- Basic data preparation and transformation in Tableau
- Dimensionality reduction (PCA, MDS) and outlier detection (LOF)
- Sports analytics projects (NBA, player performance analysis)
- Machine learning–assisted exploratory analysis
- Additional interactive dashboards and case studies
Projects are organized by topic. Each folder contains Tableau workbooks, supporting assets, and written analysis.
tableau-visualization-projects
├── olympic-performance
│ ├── tableau
│ └── report
├── global-development-analysis
│ ├── tableau
│ │ ├── .twbx
│ │ └── .twb
│ └── report
│ ├── partA.pdf
│ └── partB.pdf
├── nba-analytics
│ ├── tableau
│ ├── python
│ └── report
│ └── Report.pdf
└── README.md