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First teaching 2025

First exams 2027

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Graphs (Cambridge (CIE) IGCSE Geography): Revision Note

Exam code: 0460 & 0976

Bridgette Barrett

Written by: Bridgette Barrett

Reviewed by: Jacque Cartwright

Updated on

Key terminology

Types of data

  • Continuous data is numerical data that can take any value within a given range, e.g. heights and weights

  • Discrete data is numerical data that can only take certain values, e.g. shoe size

  • Quantitative data is where the results can be expressed using numerical values

  • Qualitative data is where the results can’t be expressed as numbers, e.g. opinions

Line graphs

  • One of the simplest ways to display continuous data

  • Both axes are numerical and continuous 

  • Used to show changes over time or space

Strengths

  • Shows trends and patterns clearly

  • Quicker and easier to construct than a bar graph

  • Easy to interpret

  • Requires little written explanation

Limitations

  • Does not show causes or effects

  • Can be misleading if the scales on the axis are altered

  • If there are multiple lines on a graph it can be confusing

Example

  • A river cross-section is a particular form of line graph because it is not continuous data, but the plots can be joined to show the shape of the river channel

Graph showing a river channel cross-section, with width in metres at top and depth in metres on the side, forming a V shape lower in the centre.
Line graph showing a river cross-section

Radial graphs

  • Use multidirectional axes to plot data with bars or lines

Strengths

  • Clearly show patterns

  • Multiple sets of data can be compared

Limitations

  • Can be difficult to plot

  • Can only be used for certain types of data

  • Hard to identify anomalies

Climate graphs

  • A climate graph shows mean monthly temperatures and precipitation rates over 30 years

  • They can be local, national, or global  

  • Precipitation is always shown as a bar graph and temperature as a line graph

Strengths

  • Clearly show trends and patterns

  • Allow for easy comparison of climates between places

  • Easy to understand and interpret

Limitations

  • Don't show variations of precipitation and temperature within the month

  • Does not show extreme weather events within the month

  • Use of averages means that identifying anomalies

Climate graph for Miami with temperature line and rainfall bars. Warm season: May-Oct. August high: 29°C. January low: 21°C. Rainfall: 135-260 mm.
Climate graph

Dispersion graphs

  • Dispersion graphs are used to compare sets of data 

  • They also illustrate whether the data forms groups or is dispersed (spread)

  • Values are shown on the vertical axis

  • Can also be used to present the upper and lower values along with the mean, median, mode and extreme values

Strengths

  • Clearly show the range of values and potential anomalies

  • Useful for comparison of the spread and central tendencies of multiple sets of data

  • The spread gives an indication of reliability

Limitations

  • Don't show variations of precipitation and temperature within the month

  • Does not show extreme weather events within the month

  • Use of averages means that identifying anomalies

Dispersion graph showing annual rainfall in millimetres at three sites over 13 years, with vertical data points for each site from 0 to 60 mm.
Illustration of a dispersion graph

Doughnut graphs

  • Doughnut graphs visually represent proportions as part of a whole

  • They are similar to a pie chart but with no centre

Strengths

  • Clear and easy to interpret

  • Allows comparison between the proportions for different categories

  • Well suited to presenting percentages

Limitations

  • Not suitable to display many categories

  • Cannot show changes over time

  • Small sections can be hard to interpret

Kite graphs

  • Kite diagrams can show both distribution and amounts

    • The distribution along a transect is shown by its position along a line in each section of a kite diagram

      • Each section represents a different species 

      • The distance along the transect is given on the x-axis

    • The numbers are shown by the width of the 'kite' around the central horizontal line

      • The shape is referred to as a kite because it extends an equal distance on each side of the central horizontal line

Strengths

  • Useful for displaying changes over distance

  • Clear and easy to interpret

  • Easy to use to compare one set of data to another

Limitations

  • Time consuming to draw

  • Can only be used with specific types of data

Triangular graphs

  • Triangular graphs have axes on three sides, all of which go from 0 to 100

  • Used to display data which can be divided into three

  • The data must be in percentages 

  • Can be used to plot data such as soil content, employment in economic activities

Strengths

  • Clearly shows relationships between data

  • Makes it easy to identify anomalies

Limitations

  • Too many data points can make it difficult to read

  • Can only display three sets of data

Triangular graph showing soil composition of clay, silt, and sand at sites 1-3, with data points marked within the triangle.
Example of a triangular graph showing soil samples

Scatter graphs

  • Used to show the relationship between two variables

    • In a river study, they are used to show the relationship between different river characteristics such as the relationship between the width and depth of the river channel

  • The points on a scatter graph should not be connected

  • The best-fit line can be added to show the relationship

Strengths

  • Clearly shows data correlation

  • Shows the spread of data

  • Makes it easy to identify anomalies and outliers

Limitations

  • Data points cannot be labelled

  • Too many data points can make it difficult to read

  • Can only show the relationship between two sets of data

Graph showing cost in pounds against distance travelled in kilometres, with five plotted points indicating a positive correlation.
Example of a scatter graph showing the relationship between cost and distance

Examiner Tips and Tricks

Many graphs and diagrams are available for data presentation. It is important for the exam that you are able to:

  • Extract information from graphs

  • Analyse and evaluate the information on a graph

  • Identify and evaluate variations, trends and patterns from the data

Make sure you are familiar with the different types of graphs and that you are confident with using them.

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Bridgette Barrett

Author: Bridgette Barrett

Expertise: Geography, History, Religious Studies & Environmental Studies Subject Lead

After graduating with a degree in Geography, Bridgette completed a PGCE over 25 years ago. She later gained an MA Learning, Technology and Education from the University of Nottingham focussing on online learning. At a time when the study of geography has never been more important, Bridgette is passionate about creating content which supports students in achieving their potential in geography and builds their confidence.

Jacque Cartwright

Reviewer: Jacque Cartwright

Expertise: Geography Content Creator

Jacque graduated from the Open University with a BSc in Environmental Science and Geography before doing her PGCE with the University of St David’s, Swansea. Teaching is her passion and has taught across a wide range of specifications – GCSE/IGCSE and IB but particularly loves teaching the A-level Geography. For the past 5 years Jacque has been teaching online for international schools, and she knows what is needed to get the top scores on those pesky geography exams.