Basic charts offer a way to visualize data sets in an intuitive, easy to understand way. Every chart should tell a story and should reflect the content on the page where it is found.
Area charts are similar to line charts, but the areas below the lines are filled with colors or patterns. Stacked charts are useful for comparing proportional contributions within a category. They plot the relative value that each data series contributes to the total.
A grouped bar chart, also known as a clustered bar graph, multi-set bar chart, or grouped column chart, is a type of bar graph that is used to compare values across multiple categories.
Stacked bar charts are useful for comparing proportional contributions within a category. They plot the relative value that each data series contributes to the total.
Bubble charts use data points and bubbles to plot measures anywhere along a scale. One measure is plotted along each axis. The size of the bubble represents the third measure. You can use bubble charts to represent financial data or any data where measured values are related.
Scatter plot visualizations use data points to plot two measures anywhere along a scale, not only at regular tick marks. You can use scatter plots to explore correlations between different measures.
Stepped line charts plot data at regular intervals, forming a series of steps between data points. You can use line visualizations to show trends over time and compare several data sets.
Note: These charts are currently a work-in-progress. To see our roadmap, request missing guidance, or contribute content, please go to the carbon-charts GitHub repository.
Stacked area chart
Stacked area charts are useful for comparing proportional contributions within a category. They plot the relative value that each data series contributes to the total.
Meter and gauge
Note: Meter and gauge charts are not yet available in Carbon Charts. These explorations are subject to change.
Meter and gauge charts are useful for showing values between a small number of variables either by using multiple markers on the same meter or gauge or by using multiples of the chart.
Meter charts can represent data with current value, minimum and maximum, and peaks or averages.
Gauge animates to the current value when dashboard loads to create emphasis.
