Pie chart
A pie chart is a circular visualization divided into sectors whose sizes represent parts or proportions of a whole.
Pandas Workout: 200 exercises to make you a stronger data analyst
A pie chart displays parts of a whole as sectors whose angular sizes represent category proportions.
- How it is used
- Visualizes category contributions to a defined total during exploratory analysis of filtered and grouped pandas data.
- How deep it goes
- Explains proportions and demonstrates filtering, indexing, grouping, counting, and plotting, but does not develop chart-design theory.
- Examples
- Uses Massachusetts city populations and institutional control categories for computer-science programs.
- What you can do after
- Apply it via pandas to convert filtered or grouped Series into proportional sector charts.
Read how Pandas Workout: 200 exercises to make you a stronger data analyst explains pie chart →
Everyday Data Visualization
A circular chart divided into segments whose angles or areas represent quantities or proportions.
- How it is used
- Shows a simple parts-of-a-whole message, especially a two-way split.
- How deep it goes
- Explains angle-estimation limits and practical segment and comparison constraints, without prescribing a specific tool.
- Examples
- Uses a bagged-versus-others avocado-sales donut and passed-versus-did-not-pass style splits.
- What you can do after
- Apply it by choosing compact two- or three-segment part-to-whole displays and avoiding cross-chart slice comparisons.
Build Python Web Apps with Streamlit
A pie chart is a circular visualization that represents a whole as slices whose sizes correspond to component values or percentages.
- How it is used
- Uses pie charts in dashboards to show how filtered totals break down across a chosen dimension.
- How deep it goes
- Builds the chart through filtering, grouping, aggregation, metric validation, Plotly construction, and Streamlit display.
- Examples
- Demonstrates sales by product, brand, gender, age group, state, category, or segment after dashboard filtering.
- What you can do after
- Apply it via Plotly and Streamlit after preparing grouped dimension values with pandas.
Read how Build Python Web Apps with Streamlit explains pie chart →
Related concepts
- channeluses · A channel is an independent component or dimension of image or tensor data carrying a distinct color, feature, activation, or value stream.
- visualizationkind of · Visualization is the representation of data, information, or concepts in visual form to support inspection, interpretation, analysis, or communication.
- bar chartcontrasts with · A bar chart is a visualization that compares quantitative values for discrete categories using rectangular bars whose lengths or heights encode magnitude.
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