How do I read, process and present geographical data correctly?
The processing of geographical data, choosing and interpreting graphs and diagrams, simple statistics such as averages and percentages, and drawing conclusions from data.
An SQA Higher Geography answer on processing and presenting data, covering simple statistics such as the mean, median, mode, range and percentage, the selection and interpretation of graphs and diagrams, and how to draw valid conclusions from geographical data.
Reviewed by: AI editorial process; not yet individually human-reviewed
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What this key area is asking
The SQA wants you to process data with simple statistics, choose and read the right graph or diagram for a set of data, and draw valid conclusions, using the figures as evidence in the skills paper and the Assignment.
Simple statistics
Choosing the right graph
Match the graph to the data:
- Line graph: continuous change over time (for example temperature through the year).
- Bar graph: comparing separate categories (for example energy use by source).
- Pie chart: the proportions that make up a whole (for example land-use percentages).
- Scatter graph: the relationship between two variables (for example rainfall and crop yield), where a line of best fit shows the correlation.
- Proportional symbols and choropleth maps: data shown by place, with symbol size or shading representing the value.
Interpreting and concluding
To read a graph, describe the overall trend (rising, falling, steady), quote figures to support it, and note any anomalies that break the pattern. A valid conclusion answers the question using the data as evidence; never state a conclusion the figures do not support. Watch for misleading presentation, such as a graph with a truncated axis that exaggerates a change.
Examples in context
Example 1. A population pyramid in the skills paper. A skills question may give a population pyramid and ask you to process and interpret it. You would read off the percentage in each age band, calculate a dependency ratio to summarise the structure, describe the shape (wide base meaning high birth rates, or narrow base and bulging top meaning an ageing population), quote the figures, then conclude on the development stage. This shows statistics and graph interpretation linked to population geography.
Example 2. A scatter graph of development data. Plotting gross national income per head against life expectancy for a set of countries produces a scatter graph with a positive correlation: richer countries tend to have longer life expectancy. You would describe the relationship, quote paired figures, draw a line of best fit, and identify anomalies (an oil-rich state with high income but lower life expectancy) that warn against relying on one indicator. This links data presentation to the development-and-health topic and to the validity of indicators.
Try this
Q1. A value rises from 200 to 250. Calculate the percentage change. [2 marks]
- Cue. The change is 50; divide by the original 200 and multiply by 100, giving a increase.
Q2. Explain why a line graph is more suitable than a bar graph for showing temperature change through the year. [3 marks]
- Cue. Temperature is continuous data changing over time; a line graph shows the trend and the smooth rise and fall, while a bar graph treats each month as a separate category and hides the flow.
Exam-style practice questions
Practice questions written in the style of SQA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
SQA Higher 20184 marksA town's population rises from 8000 to 10000 over ten years. Calculate the percentage change, and explain which graph would best show the trend over the ten years.Show worked answer →
Worth 4 marks. A calculation plus a justified graph choice.
The calculation (about 2 marks). Percentage change is the change divided by the original, multiplied by 100. The change is . So increase. Show the working to secure both marks.
The graph choice (about 2 marks). A line graph is best because population over time is continuous data, and a line shows the smooth rising trend between the recorded years and lets you read off intermediate values. A bar graph would treat each year as a separate category and hide the continuous flow.
SQA Higher 20216 marksReferring to data provided, explain how you would process and present it to draw a valid conclusion, and identify any limitations of the data.Show worked answer →
Worth 6 marks. Cover processing, presentation, conclusion and limitations.
Processing and presentation (about 3 marks). Work out simple statistics such as the mean and range to summarise the figures, and percentages to compare unequal totals fairly. Choose the right graph: line for change over time, bar to compare categories, pie for proportions of a whole, scatter for a relationship between two variables, and a choropleth or proportional-symbol map for spatial data.
Conclusion and limitations (about 3 marks). Describe the trend, quote actual figures and note anomalies, then draw a conclusion the data support, never one they do not. Note limitations: a small sample is less reliable, averages can be skewed by extreme values, and old or secondary data may be out of date. A full answer covering all four parts reaches the top band.
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Sources & how we know this
- SQA Higher Geography Course Specification — SQA (2018)