Visual Types

Explore the different visual types available in the solution and select the right visualization for the right situation.

Overview

To change the visual type:

  • Click the Visual picker in the visual title.

Note:  

  • The visual types that are available depend on the metric that you have selected.
  • The selected metric changes if you select an incompatible chart type.

You can choose from a large selection of visual types. If you aren't sure where to begin with picking a visual type, this article provides guidance based on your analysis goals.

Specialized visuals

Some visual types are highly specialized for specific analytic areas, such as organization hierarchies or text data. Start here to determine if a specialized visual answers your analytic question.

General metric visuals

If none of the specialized visuals match the analytic question, there are more generic visuals you can use based on what you want to analyze. Consider the following criteria to choose a visual type:

  • Are you analyzing the composition of a metric? The composition is the groups that contribute to a metric value, such as the organizations that contribute to Headcount.
  • If not metric composition, are you analyzing metrics over time? Without composition, you're looking at how a metric's value changes from period to period, not how each part of the metric changes.
  • If not metrics over time, are you analyzing the correlation between two or more metrics? Correlation is how two or more metrics relate to each other, such as their relationship or common attributes.
  • If not correlation between metrics, are you analyzing how a population is distributed over an attribute? Distribution shows the range of attribute values for a group, including the mean and median.
  • If not distribution, are you comparing groups? Comparison shows the differences in metrics values for the attributes you're interested in.

Individual member or event visuals

Some visuals analyze individual subject members or events. Rather than looking at aggregated metric values, you can analyze individuals in your data. For individuals, consider whether you're interested in that individual's history over time and the volume of members to analyze to pick the best visual type.

Breakdown
Compare the number, frequency, or any measure of two or more related groups.
Trend
Identify patterns in your data over time.
Trend Breakdown
Compare groups and emphasize the magnitude of change over time.
Table
Visualize, summarize, and analyze metric data across different groups and time periods.
Detailed Table
View records of subject members or event occurrences that make up a metric.
Bubble Grid
Explore the intersection of two attributes.
Movement Breakdown
See how different components contribute to the total movement into and out of a specific population.
Movement Summary
Identify the subject members who are moving in and out of an analysis population.
Quadrant
Explore the relationship between metrics and conduct four quadrant analysis.
Relationship
Explore the relationship between metrics.
Distribution
Identify whether a data set is symmetric or skewed.
Sourcing Paths
Explore the potential jobs that can be used to fill the target job.
Career Paths
Explore the career opportunities associated with a role.
Organization
Explore the hierarchical structure of an organization.
Collaboration Circle
Find out how people are working together across the organization.
Drivers
Discover the groups that have the greatest impact on a specific metric.
Pipeline Funnel
View the volume of subject members that are at or past different stages of a process.
Pipeline Trend
View the movement of subjects through multiple stages of a process over time.
Pipeline Forecast
Generate a forecast to predict when subjects will successfully complete a process.
Pipeline Diversity
Compare the diversity of applicants before and after the interview stage.
Pipeline Flow
Identify potential bottlenecks in a process.
Contribution
Compare the contribution of different members to a metric value.
History
Explore the historical attribute values for employees, candidates, requisitions, and more.
Detailed View
View a list of subject members or event occurrences that make up a given population.
Text
Review long text data to uncover patterns, sentiments, and context.