Visualization of Life Expectancy and GDP Variation Over Time
- Guided Project
- 0.3 hours
- Beginner
- Power BI
Practice building visuals in Power BI to analyze life expectancy and GDP data, creating interactive dashboards.
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.
What You'll Learn
- ✓ Build Power BI visuals using real data
- ✓ Create a data-driven story of your own
- ✓ Design a report layout
- ✓ Build and publish a new dashboard
Before You Start
- ✓ Creating basic Power BI visuals
- ✓ Designing accessible report layouts
- ✓ Customizing report themes and visual markers
- ✓ Publishing Power BI reports and dashboards
Project Steps
8 steps
- 1 Introduction to the Project
- 2 Fix Data Import Issues
- 3 Clean, Transform, and Load the Data
- 4 Relationship Between Years and Life Expectancies
- 5 GDP Per Capita Variation Over Time
- 6 Design a Dashboard
- 7 Share Your Hard Work
- 8 Next Steps
Join 1M+ data learners on Dataquest.
- 1
Create a free account
- 2
Choose a learning path
- 3
Complete exercises and projects
- 4
Advance your career