Charts (Legacy)
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An introduction to data visualization
To get started using charts to visualize data, see the data visualization foundation article and data visualization color guidance.
Chart types
When using data visualization patterns to present data, choose the chart type that best shows the relationship between the data series. There are two chart components:
Cartesian charts
These use two axes to show data and help users see patterns or compare values.
Line chart: Visualizes one or many series of data, with an emphasis on how the data changes over time.
Bar chart: Visualizes one or many series of data, with an emphasis on the total amount of each data point.
Mixed chart: Visualizes different, but related, series of data on a single chart.
Scatter chart: Visualizes the relationships between data in two dimensions.
Area chart: The area chart visualizes two or more series of data. Through stacked data series, it emphasizes the part-to-whole relationship of data over a period of time.
Pie and donut charts
Pie and donut charts display portions of a whole unit so users can compare data points from a total set. A donut chart also includes a summary metric in the center of the chart.
Pie chart: A pie chart helps users see the relationship between different data metrics in a data set.
Donut chart: A donut chart is a variant of a pie chart with its center removed.