Step-by-Step Tutorial

How to Make a Pie Chart from CSV

Turn your CSV files into pie charts in seconds — no manual re-typing required.

Follow These Steps

1

Format your CSV file correctly

Your CSV needs at least two columns: one for category labels and one for numeric values. The first row should be headers, such as 'Category,Value'. Save the file with a .csv extension using any text editor or spreadsheet app.

2

Open the pie chart maker and locate the import option

Navigate to the chart generator and look for the CSV upload or import button. This lets you load data directly from a file instead of typing each value by hand.

3

Upload your CSV file

Click the upload button and select your CSV file. The tool will parse the file automatically, mapping the first column to slice labels and the second column to values.

4

Review the parsed data

After upload, check that every category and value was imported correctly. Look for any parsing errors caused by extra commas, missing values, or encoding issues and fix them before proceeding.

5

Customize and export the chart

Adjust colors, labels, and the title to suit your needs. Once the chart looks right, download it as PNG or SVG for use in reports, dashboards, or presentations.

Try It Yourself

Practice what you learned with our interactive pie chart editor below. The chart is pre-filled with sample data to get you started.

Enter Your Data

Edit the sample data or add your own

Label
Value
%
30.0%
25.0%
20.0%
15.0%
10.0%
Live preview active
Total: 100
Data Summary
5 items

Total Value

100

Categories

Manual: Add categories one by one with custom colors

Paste: Copy from Excel or Google Sheets (Label, Value format)

CSV: Upload any CSV file with your data

Chart Preview

Export to PNG, SVG, PDF

Live Preview
My Pie Chart Data
CategoryValuePercentage
Category A3030.0%
Category B2525.0%
Category C2020.0%
Category D1515.0%
Category E1010.0%

Categories

5

Total Value

100

Chart Type

pie

Chart Settings

0°

Export Chart

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Tips & Best Practices
  • Use UTF-8 encoding for your CSV to avoid character display issues.
  • Keep category names short so labels fit neatly around the chart.
  • Remove any blank rows or extra columns before uploading.
  • If your CSV has multiple value columns, decide which one to chart before importing.
  • Save a backup of the original CSV in case you need to regenerate the chart.

Frequently Asked Questions