Data Sources (Weeks 1–4)
This module provides a consolidated list of recommended data sources from Weeks 1–4. Students are encouraged to explore these datasets for hands-on exercises, projects, and further exploration in data visualization.
Week 1 – Introduction to Data Visualization
- Gapminder Data: Global socio-economic and health indicators over time.
- Our World in Data: Extensive datasets on global development, environment, health, and society.
Week 2 – Visual Encodings and Principles
- FiveThirtyEight Datasets: Curated datasets behind FiveThirtyEight’s data journalism articles.
- UN Data: Official UN datasets on demographics, economics, and development.
Week 3 – Distributions and Comparisons
- Iris Dataset (UCI ML Repository): Classic dataset of flower measurements, widely used for visualization demos.
- Airline Flight Delay Data (Synthetic Example): U.S. Bureau of Transportation Statistics flight data, often used for delay analysis.
Week 4 – Data Wrangling and Joins
- TidyTuesday Datasets: Weekly datasets for data wrangling and visualization practice.
- U.S. Census Data: Demographic, housing, and economic data from the U.S. Census Bureau.
Additional References
- ColorBrewer 2.0: Color palette selection tool, including colorblind-friendly options.
- Real Python: ggplot in Python: Tutorial on the grammar of graphics approach in Python.