# When would we use a pie chart?

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.

## 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.

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.