Data Analysis covers quantitative visual sources: maps with data layers, tables, bar and line graphs, scatter plots, population pyramids, and infographics. You identify what type of data is shown, describe the spatial or temporal patterns and trends, draw conclusions from those patterns, and explain what the data implies and where it falls short. Every unit of the course uses this skill because geographers rely on data to study population, culture, agriculture, cities, and development.
- Identify: Name the type of data source and what geographic variable it displays.
- Describe trends: State the direction, magnitude, or distribution of data without inferring cause.
- Draw conclusions: Make an inference about what the data pattern means for a geographic phenomenon.
- Explain limitations: State what the data cannot show, such as missing variables, scale issues, or outdated information.
Looking at a population pyramid for Japan, can you describe the shape, draw a conclusion about population growth, and explain one thing the pyramid cannot tell you?
| Data source type | What you describe | Limitation to note |
|---|
| Population pyramid | Age-sex structure, dependency ratio shape | Does not show migration motivation |
| Choropleth map | Regional variation in a variable by shading intensity | Hides variation within each mapped unit |
| Scatter plot | Correlation direction and strength between two variables | Correlation does not establish causation |