|Bivariate histogram plot|
|Increase number of histogram bins|
|Decrease number of histogram bins|
|Histogram bin counts|
|Bivariate histogram bin counts|
|Binned scatter plot|
|Angle histogram plot|
This example shows how to modify properties of the baseline of a bar graph.
This example shows how to overlay two bar graphs and specify the bar colors and widths.
Bar graphs are useful for viewing results over a period of time, comparing results from different data sets, and showing how individual elements contribute to an aggregate amount.
This example shows how to combine a line chart and a bar chart using two different y-axes.
This example shows how to modify a 3-D bar plot by coloring each bar according to its height.
This example shows how to compare two data sets by overlaying their area graphs.
This example shows how to create a pie graph and automatically offset the pie slice with the greatest contribution.
This example shows how to add a legend to a pie chart that displays a description for each slice.
This example shows how to label slices on a pie chart so that the labels contain custom text and the precalculated percent values for each slice.
This example shows how to adjust the color scale of a bivariate histogram plot to reveal additional details about the bins.
When you use the Data Cursor tool on a histogram plot, it customizes the data tips it displays in an appropriate way.
This example shows how to use
histogram to effectively view categorical data.
discretize are the recommended histogram
creation and computation functions for new code.