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Histogram histogram

Last update: Thu Jan 30 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

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This article documents the Histogram visualization in CustomerJourneyAnalytics Customer Journey Analytics.
See Histogram for the ۶ƵAnalytics ۶Ƶ Analytics version of this article.

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The Histogram Histogram visualization is similar to a Bar visualization, but it groups numbers into ranges (buckets). Analytics automates the “bucketing” of numbers into ranges, but you can change the settings in Advanced Settings.

Use

To create a histogram:

  1. Add a Histogram Histogram visualization. See Add a visualization to a panel.
  2. Drag a metric from the Metrics component list, or select a metric from the Add a metric dropdown menu.
  3. (optional) Select Show advanced settings. See Advanced settings.
  4. Select Build.
NOTE
Histograms support only standard metrics, not calculated metrics.

In the example below, a histogram is used to bucket sessions for the number of persons. The histogram shows that most persons do have between 16-21 sessions for the selected date range.

Histogram

Advanced settings

As part of the visualization, specific histogram settings are available.

Histogram settings
Description
Starting bucket
Determines which bucket the histogram starts with. “1” is the default. You can set starting numbers from 0 to infinity (no negative numbers).
Metric buckets
Lets you increase/decrease the number of data ranges (buckets.) The maximum number of buckets is 50.
Metric bucket size
Lets you set the size of each bucket. For example, you can change the bucket size from 1 page view to 2 page views.
Counting method
Select from Person, Session, or Event. For example, page views per session, or page views per person, or page views per event.

Examples:

Starting bucket
Metric buckets
Metric bucket size
Result
1
5
2
Histogram, starting bucket 1, metric buckets 5, metric bucket size 2
0
3
5
Histogram, starting bucket 0, metric buckets 3, metric bucket size 5
Related Articles
Add a visualization to a panel
Visualization settings
Visualization context menu
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