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.
Charts index
These charts are developed and maintained by members of the IBM Carbon community. Some may only be accessible to IBMers. They may change over time, and they may be incomplete or experimental. For support, please contact the contributors listed on each page.
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.
Bar charts use horizontal rectangular bars to answer the question of "how many?" in each category.
Bar charts use vertical or horizontal data markers to compare individual values. You can use them to compare discrete data or show trends over time.
Bar charts use vertical or horizontal data markers to compare individual values. You can use them to compare discrete data or show trends over time.
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.
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Donut chart
Gauge chart
A histogram visualizes the distribution of data over a continuous interval or certain time period.
Line charts plot data at regular intervals connected by lines. You can use line visualizations to show trends over time and compare several data sets.
Use a line graph to reveal trends or progress over time with a continuous data set. A line graph is created by connecting a series of data points together with a line.
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.
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.
Use pie charts and donut charts very sparingly, and only to show a part-to-a-whole relationship. Pie charts and donut charts show how categories represent part of a whole – the composition of something.
Pie chart
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.
A scatter plot, or scattergram chart, will show the relationship between two different variables or it can reveal the distribution trends.