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Visualization of Life Expectancy and GDP Variation Over Time

For this project, you’ll assume the role of a data analyst tasked with visualizing life expectancy and GDP data over time to uncover trends and regional differences.

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4.8 (359 reviews)
366,013 learners enrolled in this project
  • Beginner
  • Guided project
  • 8 steps
  • Power BI
Alla Bannikova

“Each step prepares you for the next one. The projects helped me to gain confidence and the community is very beneficial.”

Alla Bannikova

Data Analyst

Visualization of Life Expectancy and GDP Variation Over Time

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Project overview

In this project, you’ll step into the role of a data analyst and use Power BI to visualize life expectancy and GDP data from the Gapminder Semantic Model. You’ll apply data cleaning, transformation, and visualization skills to create interactive scatter plots and stacked column charts that reveal trends over time and differences between regions.

This hands-on project allows you to practice the full life-cycle of report and dashboard development in Power BI. You’ll load and clean data, create and configure visualizations, and publish your work to showcase your skills. By the end, you’ll have an engaging, interactive dashboard to add to your portfolio.

Objective: Use Power BI to analyze and visualize life expectancy and GDP data, creating interactive dashboards that provide insights into global trends and regional differences over time.

Key skill required

To complete this project, it's recommended to build these foundational skills in Power BI

  • Creating basic Power BI visuals
  • Designing accessible report layouts
  • Customizing report themes and visual markers
  • Publishing Power BI reports and dashboards

Projects steps

Step 1: Introduction to the Project

Step 2: Fix Data Import Issues

Step 3: Clean, Transform, and Load the Data

Step 4: Relationship Between Years and Life Expectancies

Step 5: GDP Per Capita Variation Over Time

Step 6: Design a Dashboard

Step 7: Share Your Hard Work

Step 8: Next Steps

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