# Dispersion Graphs in Geography

## What is a dispersion graph?

A dispersion graph shows the range of a set of data and illustrates whether data groups or is dispersed. It is a useful way of comparing sets of data. Values are plotted on the vertical axis.

## When is using a dispersion graph appropriate?

Dispersion graphs are ideal when you want to compare sets of data and can be used to present where the UQ and LQ are, as well as the mean, median, mode and extreme values and interquartile range.

## Creating a dispersion graph

In this example, we will create a dispersion graph to show the size of pebbles at three sites along a river. The data below will be plotted on a dispersion graph. The pebbles have been measured in mm.

Step 1 – Vertical axis

Review the data and decide upon a scale. In this case, the highest value is 40 mm so the vertical scale will run from 0 to 45 at 5 mm intervals. Plot the scale for the vertical axis.

Step 2 – Horizontal axis

The horizontal axis has three entries, one for each site. Add this to your graph. Remember to label your axis.

Step 3 – Plot

Plot the data on your graph. Below is an example of how your dispersion graph might look.

Read the title to see what the graph is showing. Ensure you understand what each axis represents. Identify outliers (anomalies in the data). Investigate the patterns show on the graph. Complete statistical analysis e.g. what is the mean (you could then plot this in a different colour), what is the range?, What is the media? What is the interquartile range? etc.

## Create your own dispersion graph

The data below shows pebble sizes (cm) recorded at 3 locations along the beach at Flamborough. Using the data, create a dispersion graph.

Of course, dispersion graphs are much easier to create using spreadsheet software such as Excel and Google Sheets. Download an example using the data shown above.   If you've found the resources on this page useful please consider making a secure donation via PayPal to support the development of the site. The site is self-funded and your support is really appreciated. ## Data Presentation Techniques in Geography

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