The pie chart is one of the most common ways to represent data, for example to graph qualitative data, where the information describes a trait or attribute and is not numerical in itself.

This is one of the most used types of graphs in research, as it is used to summarize the results of a poll or survey, for example.

Let’s learn more about its characteristics and most common uses.

What is a pie chart?

A pie chart or pie chart is a type of representation for statistical data analysis . It has the shape of a disk divided into sectors, whose areas are proportional to the percentages of the different components of the statistical population.

Each value of the character studied corresponds to a sector. The measurements of the angles of the sectors are proportional to the numbers represented (or the associated frequencies). The representation of negative numbers is impossible with this type of diagram.

Example of a pie chart

This graph gets its name from its appearance: A circular cake that has been cut into several slices. 

Each trait corresponds to a different piece of the pie . By looking at all the pieces of the pie, you can compare how much of the data fits into each category. The bigger a category, the bigger your piece of the pie. This is another example of how a pie chart can be displayed:

When to use a pie chart?

Pie charts are a good way to graphically display a frequency distribution . In a pie chart, frequency or percentage is represented both visually and numerically, so it is usually quick for readers to understand.

Use a pie or pie chart if your audience has a general idea of ​​the relationship between the parts and the whole of the data and it is not as important to compare the sizes of the slices.

You can also use a pie chart to convey that a segment of the total is relatively small or large. 

Advantages of pie chart

The advantages of the pie chart are not numerous but they are real. The pie chart is a good way to represent data graphically and easily .

This type of graphical representation of data gives the reader a quick idea of ​​the proportional distribution of the data. But above all, the greatest advantage of the pie chart is the ease of adding two sectors.

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