What is a pie chart with Example?

Pie charts are used in data handling and are circular charts divided up into segments which each represent a value. Pie charts are divided into sections (or ‘slices’) to represent values of different sizes. For example, in this pie chart, the circle represents a whole class.

What is pie chart and its uses?

A pie chart is a circle that is divided into areas, or slices. Each slice represents the count or percentage of the observations of a level for the variable. Pie charts are often used in business. Pie charts can be helpful for showing the relationship of parts to the whole when there are a small number of levels.

How do you interpret pie chart data?

To interpret a pie chart, compare groups.

1. When you interpret one pie chart, look for differences in the size of the slices.
2. When you compare multiple pie charts, look for differences in the size of slices for the same categories in all the pie charts.

What makes a good pie chart?

Pie charts work best if you only have a few values – four max. If you have more than four shares, consider a stacked column or stacked bar chart. Not only will it look less cluttered, but also the labelling will be tidier. Pie charts might be unnecessary if you only want to show two values.

When should I use a pie chart?

When should I use a pie chart?

1. If you want your audience to have a general sense of the part-to-whole relationship in your data and comparing the precise sizes of the slices is less important.
2. To convey that one segment of the total is relatively small or large.

Where do we use pie chart?

A pie chart is best used when trying to work out the composition of something. If you have categorical data then using a pie chart would work really well as each slice can represent a different category. A good example of a pie chart can be seen below.

What is the importance of pie graph?

A pie chart is a type of graph in which a circle is divided into sectors that each represents a proportion of the whole. Pie charts are a useful way to organize data in order to see the size of components relative to the whole, and are particularly good at showing percentage or proportional data.