You can use different types of charts to add a visual element to documents, but how do you know which types of chart will be the best option for your information?
This below guide provides an overview of the different chart types and how to pick the right one.
There are 4 different groups of chart:
Comparison charts are used to compare one or more datasets. They can compare items or show differences over time.
Relationship charts are used to show a connection/correlation between two or more variables.
Composition charts are used to display parts of a whole and change over time.
Distribution charts are used to show how variables are distributed over time, helping to identify trends.
Choosing the right chart type for your data
Ask yourself how many variables your data will show. Your data might work with multiple chart types, however, it’s important to select the one that ensures your message is clear.
You can find a snapshot of picking the right chart below, or for more in-depth information take a look at the following articles on each chart type:
- Line Charts
For a sample/more than one sample that changes over time
- Area Charts
Demonstrate how values rise and fall over time
- Pie and Doughnut Charts
Show percentages or parts of a whole
- Bar Charts, Horizontal and Stacked
Compare/point out which have the highest or lowest values
Other articles in the ‘Module Types: Charting’ series
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