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Quiz yourself on Fieldwork Process and EnquiryGet your flashcardsBuild my revision planTrack my progress📈 Choosing the Right Data Presentation Method
Data presentation is not decoration — it is analysis. Choosing the right type of graph or map for your data type is itself a tested exam skill. The wrong presentation obscures patterns; the right one reveals them immediately.
| Your Data Type | Best Presentation Method | Why | Geography Example |
|---|---|---|---|
| Change over continuous time or distance | Line graph | Continuous line shows the trend clearly; gaps in data visible as breaks | River velocity plotted against distance downstream along a 1 km transect |
| Comparing discrete categories | Bar chart | Each bar represents a distinct category; easy to compare heights | Environmental quality scores at 5 different zones along an urban transect |
| Parts of a whole (proportions) | Pie chart | Shows proportional composition; most useful with 3–6 categories | Land use composition of a city centre study area (retail, residential, commercial, open space) |
| Relationship between two variables | Scatter graph | Plots two variables simultaneously; line of best fit shows strength and direction of correlation | Pebble roundness (y-axis) vs distance from river source (x-axis) |
| Spatial distribution across an area | Choropleth map | Shading intensity shows variation across space; immediately spatial | Deprivation index scores across different wards in Birmingham |
| Volume or movement between places | Flow line map | Line thickness represents quantity of movement or flow | Traffic volumes on different routes into a city centre at peak hours |
| Channel or land profile measurements | Cross-section / long profile | Shows the shape of the feature accurately at a point in time | River channel cross-section at three sites: upper, middle, and lower course |
| Qualitative observations across space | Annotated photograph or field sketch | Captures detail, context, and explanation that numbers cannot | Annotated photograph of river bank erosion at Site 3 highlighting undercutting and slumping |
Presentation Pitfalls — What Not to Do
- Unlabelled axes: Examiners cannot award marks for graphs with no units or axis labels
- Inconsistent scales: A scale that does not start at zero on a bar chart exaggerates differences
- Pie chart with 10+ categories: Too many slices become unreadable; group small categories into "other"
- Line graph for discrete categories: Connecting bars with a line implies a continuous relationship that does not exist
- Missing title: Every graph must state what it shows, where, and when
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