Gapminder Global Trends

Exploratory analytics project using regression, clustering, and visual storytelling on global development data.

Analyzed 50+ years of global development data using visual analytics, linear regression, and clustering. Uncovered patterns across GDP, life expectancy, and population trends with animated storytelling.

Key Outcomes

50+ years of development data analyzed

Regression and clustering on macro indicators

Animated storytelling for pattern exploration

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Context

Problem and Context

Approach

Approach and Architecture

Visual analytics of 50+ years of GDP, life expectancy, and population trends.

Implementation

Implementation Details

Pandas

Seaborn

plotly

Regression

Clustering

Visual storytelling

K-Means

Results

Results and Tradeoffs

This project is presented as a concise technical overview rather than a full-length narrative case study.

50+ years of development data analyzed

Regression and clustering on macro indicators

Animated storytelling for pattern exploration

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