Pie Chart Calculator
Create pie charts with percentages, angles, and probabilities from your data
Data Input
| Label | Value | Percentage | Angle | Probability |
|---|---|---|---|---|
Group A | 20 | 10.0% | 36.0° | 0.1000 |
Group B | 80 | 40.0% | 144.0° | 0.4000 |
Group C | 20 | 10.0% | 36.0° | 0.1000 |
Group D | 50 | 25.0% | 90.0° | 0.2500 |
Group E | 30 | 15.0% | 54.0° | 0.1500 |
| Total | 200 | 100.0% | 360.0° | 1.0000 |
Sample Data Distribution
Legend
Example: Survey Results
Data Setup
Question: "What's your favorite season?"
Responses: Spring (45), Summer (120), Fall (75), Winter (60)
Total Responses: 300
Calculations
• Spring: 45/300 = 15.0% → 54.0°
• Summer: 120/300 = 40.0% → 144.0°
• Fall: 75/300 = 25.0% → 90.0°
• Winter: 60/300 = 20.0% → 72.0°
Total: 360.0° (100%)
Key Formulas
Percentage
Angle (Degrees)
Probability
Pie Chart Tips
Use pie charts for parts of a whole
Limit to 5-7 segments for clarity
Start largest segment at 12 o'clock
Use distinct colors for each segment
Label percentages directly on segments
Consider bar charts for comparisons
Understanding Pie Charts
What is a Pie Chart?
A pie chart is a circular statistical graphic that shows the proportion of different categories in a dataset. Each slice of the pie represents a category's contribution to the total, making it easy to visualize parts of a whole.
When to Use Pie Charts
- •Showing proportional relationships
- •Displaying categorical data
- •Emphasizing parts of a whole
- •Simple data with few categories
Step-by-Step Process
1. Calculate Total
Sum all values in your dataset
2. Find Percentages
Divide each value by total × 100
3. Calculate Angles
Multiply percentage by 3.6° (360°/100)
4. Draw Sectors
Create pie slices with calculated angles
Best Practices
- • Order segments by size (largest first)
- • Use no more than 7 categories
- • Ensure labels are clearly readable
- • Use contrasting colors
- • Include a legend when needed