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Make beautiful data visualizations with our free pie chart maker tool. It’s the perfect tool for creating a quick graph right before a meeting.
A pie chart demonstrates the distribution of a total quantity between levels of a categorical variable as a circle with radial slices. A single slice of the circle represents each categorical value. The size of each slice (both in terms of area and arc length) reveals how much of the total each category level occupies.
A pie chart is a circular statistical graphic that is divided into sectors or "slices," representing proportional parts of a whole. It effectively displays data and shows the relationship between different categories or components within a dataset.
In a pie chart, each sector corresponds to a specific category or variable, and its size is proportional to the value or percentage it represents. The entire pie represents 100% of the total amount being measured. The individual slices of the pie chart represent the relative proportion or percentage of each category compared to the whole.
Pie charts are commonly used to present data with discrete categories or to show the composition of a whole. They are useful for conveying information at a glance and are often used in business, statistics, market research, and other fields where data visualization is important.
In addition to the sectors, pie charts usually include labels or legends that provide additional information about each category or slice, such as the category name and its corresponding value or percentage. This helps the viewer understand the presented data and compare different categories.
Despite their restricted application, pie charts can be produced using most visualization tools. Pie charts are still typical charts that most people can understand, even though they are no longer the preferred choice for most visualization purposes. Pie charts are still excellent for the following tasks: selling a part-to-whole comparison right away.
A pie chart is appropriate in the following situations:
Remember that choosing the appropriate chart type is important based on your data and the message you want to convey. Other chart types, such as bar charts, line charts, or stacked bar charts, may be more suitable for certain scenarios.
Low-level programming is good for the programmer’s soul.
John Carmack
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