Tableau Visualization Projects

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.

---

📊 Projects Overview

1. Olympic Performance & Global Well-Being

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

---

2. Global Development Analysis

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

---

3. NBA Scoring Evolution & Player Similarity Analysis

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

---

📁 Repository Structure

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

📁 Project Files

• 📊 Tableau Workbooks (.twbx)
• 📄 Analysis Report (PDF)

Sample Visualizations

100m winning time trend

GDP per capita vs happiness

All-time scoring leaders

NBA historical shot selection

🛠 Tools & Skills Demonstrated

• 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)

---

🚀 Future Additions

• Sports analytics projects (NBA, player performance analysis)
• Machine learning–assisted exploratory analysis
• Additional interactive dashboards and case studies