Turn your data into a pie chart.

Create a pie chart that explains a whole

A pie chart shows how non-negative categories combine into one total. This tool keeps the source table and chart connected, so edits, imported rows, added data rings, colors, labels, and display settings update immediately without sending the dataset to a server.

Prepare category and value columns

Use one row per slice: a category name in the first column and its amount in the value column. Import CSV, TSV, TXT, JSON, XLSX, or XLS files, paste comma-separated data, or type directly in the editable table. The importer lets you choose a worksheet, label column, value column, additional rings, and included rows before applying anything.

Pie charts require values at or above zero. Empty, negative, and non-numeric entries are excluded from the rendered total until corrected. Percentages are calculated from the currently visible values, so you can enter counts, currency amounts, durations, or already-normalized shares.

Choose pie or doughnut form

Keep the inner radius at zero for a traditional pie. Increase it to create a doughnut chart with more visual breathing room or to display multiple data rings. Slice spacing and rounded corners can separate neighboring categories, while the start-angle control lets you place the most important segment deliberately.

Make labels readable

Show names, raw values, percentages, or names with percentages directly on slices. Labels automatically use a contrasting color against each segment and very small slices omit internal text rather than overlap. The legend adapts to the chart background and can be placed above, below, left, or right.

Use multiple rings carefully

An additional ring can compare the same categories across another period or scenario. Keep category order consistent and rename each ring clearly. If readers need precise cross-period comparisons, a grouped bar chart may communicate differences more accurately than concentric arcs.

When a pie chart is the right choice

Use a pie chart for a small set of mutually exclusive categories that form a meaningful total, such as traffic sources, budget allocation, survey responses, or inventory composition. Five to seven slices are usually easier to scan than a crowded circle of many similar segments.

Avoid misleading proportions

Do not use negative values, unrelated totals, or three-dimensional effects. Keep every slice in the same unit and verify that omitted categories are intentional. When values are close together or exact ranking matters, switch to a bar chart.

Export for reports and presentations

Download the finished chart as PNG or SVG. The export window includes preset dimensions, custom width and height, aspect ratio, render scale, transparent background, and a preview so labels and legends can be checked at the final size.

Practical example: show the source of website visits

Group visits into mutually exclusive channels such as search, direct, referral, email, and social. Use one consistent reporting period and verify that the values add to the intended total. A labeled slice then answers a simple composition question without requiring the reader to calculate each share.

Preserve the whole

A pie chart is meaningful only when every slice belongs to one complete quantity. Do not combine a percentage with a count, compare categories from different populations, or omit a large “other” group without explanation. If the source values do not form a meaningful whole, use a vertical bar chart or horizontal bar chart.

Make the chart accessible away from color

Choose distinguishable colors, but also provide category names and values through labels or a legend. Keep the reading order consistent, avoid placing text inside very small slices, and use surrounding prose or a table when exact values matter. The exported image should still make sense when printed small or viewed by someone with reduced color discrimination.