Which graphical techniques are examinable in Advanced Higher Geography data handling?
Graphical presentation of data: bipolar analysis, dispersion diagram, kite diagram, logarithmic graph, polar graph, systems diagrams, scattergraph and triangular graph, and choosing the right graph for the data.
The examinable graphical techniques in SQA Advanced Higher Geography: bipolar analysis, dispersion diagram, kite diagram, logarithmic graph, polar graph, systems diagrams, scattergraph and triangular graph. Covers what each shows and how to choose the right graph for the data.
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What this key area is asking
Data handling tests whether you can present data in the right graph. The spec names eight techniques: bipolar analysis, dispersion diagram, kite diagram, logarithmic graph, polar graph, systems diagrams, scattergraph and triangular graph. For each you should know what it shows and the data it suits, and be able to select the appropriate graph for a given data set and justify the choice.
The eight graphical techniques
Each graph answers a different question about the data. Knowing what each reveals lets you choose well and read others' graphs critically.
- Bipolar analysis. Scores between two extremes (quality), as a divergent bar.
- Dispersion diagram. Individual values on one axis; shows spread and median.
- Kite diagram. Abundance along a transect as a symmetrical band.
- Logarithmic graph. Log scale for a very wide range or a power relationship.
- Polar graph. Data against compass direction (wind, orientation).
- Systems diagram. Inputs, stores, flows and outputs of a process.
- Scattergraph. Two interval variables; shows correlation with a best-fit line.
- Triangular graph. Three components summing to 100%; shows their balance.
Choosing the right graph
Selection follows the data's shape. Two interval variables call for a scattergraph; a single set of values to show spread calls for a dispersion diagram; three proportions call for a triangular graph; directional data calls for a polar graph; a very wide value range calls for a logarithmic scale.
A routine for selecting a graph
- Read the data structure. Is it one set, two variables, three proportions, directional, or very wide-ranging?
- Match a graph. Choose the technique whose structure fits the data.
- State what it shows. Say what pattern the graph will reveal.
- Reject alternatives. Explain briefly why an unsuitable graph would hide the pattern.
Examples in context
Try this
Q1. Which graph best shows the relationship between two interval variables such as velocity and distance? [1 mark]
- Cue. A scattergraph (with a best-fit line).
Q2. What kind of data does a triangular graph require? [1 mark]
- Cue. Three components that sum to 100% (for example soil texture or employment sectors).
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 AH data4 marksFor a given data set, select an appropriate graphical technique and justify your choice.Show worked answer →
The right graph depends on the data. For data split into three proportions that sum to 100% (for example sand, silt and clay in soil), a triangular graph is ideal. For the relationship between two interval variables (velocity and distance), a scattergraph shows correlation. For data spread to show its range and concentration, a dispersion diagram is used. For data that changes with compass direction, a polar graph suits.
A full answer names a suitable graph, states what it shows, and justifies the choice by the data's structure (three parts summing to 100, two variables, a spread, a directional pattern). The strongest answers reject unsuitable graphs with a reason, showing genuine understanding of when each technique applies.
SQA AH data4 marksExplain what a triangular graph and a kite diagram each show and the kind of data each suits.Show worked answer →
A triangular graph plots data with three components that sum to 100% on a triangle, so a single point shows the proportion of each (soil texture, employment in three sectors). A kite diagram shows the abundance of species or features along a transect, with a symmetrical band whose width represents the value at each point.
Strong answers explain the structure of each graph, state what it reveals (a triangular graph: the balance of three proportions and clustering of points; a kite diagram: how abundance changes along a transect), and match each to suitable data. They note that the wrong graph for the data obscures the pattern, which is why selection is examined.
Related dot points
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Sources & how we know this
- Advanced Higher Geography Course Specification — SQA (2019)
- Advanced Higher Geography Specimen Question Paper — SQA (2019)