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StevenTapscott/BI-GDP-Global-Development-Analysis

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Global Development Analysis (Gapminder Dataset)

Overview

This project analyses global development trends using the Gapminder dataset, focusing on the relationship between GDP per capita and life expectancy across countries and regions. The dashboard enables interactive exploration of socio-economic patterns over time.


Dashboard Preview

GDP & Global Development Dashboard

Interactive Power BI dashboard analysing global GDP, life expectancy, population, and regional development trends using interactive visualisations to compare countries, identify patterns, and support data-driven insights into global economic and social development.

GDP & Global Development Dashboard

Objectives

  • Analyse the relationship between wealth and health outcomes
  • Compare trends across countries and regions
  • Build an interactive Power BI report for exploratory analysis

Tools & Technologies

  • Power BI
  • Power Query (Data Transformation)
  • Data Visualisation
  • Basic DAX Measures

Dataset

Gapminder Dataset

Includes:

  • GDP per capita
  • Life expectancy
  • Population
  • Country and region classifications
  • Yearly data

DAX used

Includes:

  • Total Population = SUM(gapminder[population])
  • Avg Life Expectancy = AVERAGE(gapminder[life])
  • Avg GDP = AVERAGE(gapminder[GDP])

Key Steps

1. Data Preparation

  • Imported dataset into Power BI
  • Cleaned and transformed data using Power Query
  • Ensured correct data types, particularly for time-based fields

2. Data Modelling

  • Structured dataset for time-series analysis
  • Created calculated measures where required

3. Visualisation Development

Scatter Plot:

  • GDP per capita vs Life Expectancy
  • Bubble size represents population

Line Charts:

  • Trends over time

Slicers:

  • Region
  • Year

4. Dashboard Design

  • Built an interactive and user-friendly layout
  • Enabled filtering and drill-down capabilities

Key Insights

  • Strong positive correlation between GDP per capita and life expectancy
  • Significant disparities in development across regions
  • Emerging economies show rapid improvement over time

Business Value

  • Demonstrates ability to analyse multi-dimensional datasets
  • Highlights strong data storytelling and visualisation skills
  • Supports understanding of global economic and health trends

Challenges Faced

  • Handling skewed GDP data (log scale considerations)
  • Designing clear and readable scatter plots
  • Balancing multiple variables within a single visual

Outcome

Delivered an interactive Power BI dashboard that effectively communicates global development patterns, showcasing analytical thinking and strong visualisation capabilities.

About

Power BI dashboard analysing global GDP and life expectancy trends using the Gapminder dataset, interactive visualisations, scatter plots, time-series analysis, and regional comparisons to explore long-term socioeconomic development patterns.

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