Skip to main content

 

 

YOURPEOPLE, INC.

People Analytics Analysis Editor

Learn about the Analysis Editor and how to configure your analysis for viewers.

The Analysis Editor is what you will use to create and edit your analyses, as shown in the following illustration. The Analysis Editor allows you to enter or change the title of your analysis and insert content including text, charts, links to other analyses, and images.

Analysis Editor Overview

1. Autosave timestamp: This timestamp reflects the last time at which your analysis changes were automatically saved.

2. Undo button: Undo your last action.

3. Redo button: Redo your last action.

4. More options:

  • Update time period: Have the analysis show data for the latest time period or a specific time period.
  • Make analysis dynamic: Remove the local context (filters that were applied at the time of creation) from the charts in the analysis.
  • Edit preview appearance: Change how links to this analysis appear.
  • Delete: Remove your analysis that is no longer needed.

5. Done editing: Close the Analysis Editor.

6. Title box: Add a title for the analysis. This title appears in search results and is used in analysis links.

7. Description box: Add a subtitle or description for the analysis.

8. Driving Subject: Set a Driving Subject to allow viewers to change the analysis context by applying filters to all the charts in the analysis at once.

9. Divider: A horizontal line that separates content into different rows.

10. Insert button: Insert content such as headings, text, charts, and analysis links.

Note: These settings determine how users can interact with your analysis.

The Driving Subject

It can be difficult for viewers to determine how filters will be applied to charts in an analysis when the analysis contains charts that look at different subjects. To simplify the viewing experience, viewers will not be able to add filters on the analysis level (change the analysis context) by default.

However, you can allow viewers to change the analysis context for all charts in an analysis at once by setting a Driving Subject. We recommend that you do this when the majority of the charts in your analysis look at a single subject such as Employees. When you set a Driving Subject for your analysis, viewers will only be able to add filters for the subject. After a Driving Subject is selected, you can also add a set of default filters to your analysis. Viewers will not be able to remove the default filters and any filters that they add will be applied on top of the default filters.

Example: Adding filters at the analysis level

You're viewing an analysis that contains the following charts:

  • Breakdown of Headcount by Organization
  • Breakdown of Average Performance Rating by Organization
  • Breakdown of Open Positions by Organization

The Driving Subject for the analysis is the Employee subject.

You want to look at data for first year employees in Marketing and Sales, so you change the analysis context by adding the following filters:

  • Tenure: 0-1yr
  • Organization: Marketing, Sales

If applicable, filters will be applied to all charts in the analysis at once. The following table describes how the filters are applied.

Chart Applied filters

Breakdown of Headcount

  • Tenure: 0-1 year
  • Organization: Marketing, Sales

Breakdown of Average performance Rating

  • Tenure: 0-1 year
  • Organization: Marketing, Sales

Breakdown of Open Positions

  • Organization: Marketing, Sales

In this example, the analysis contains charts that look at multiple subjects. The Headcount and Average Performance metrics are based on the Employee subject while the Open Positions metric is based on the Requisition subject. The Tenure filter can only be applied to metrics that are based on the Employee subject, so the filter is dropped from the chart Breakdown of Open Positions. The Organization filter can be applied to metrics that are based on the Employee or Requisition subject, so the filter is applied to all charts in the analysis.

To set a Driving Subject for your analysis:

In the Analysis Editor, click the drop-down arrow on the right side of Filter analysis by and select the subject that viewers can apply filters for.

Note: The available subjects are determined by the charts you have in your analysis. You can only set one subject as the Driving Subject.

Remove filters from charts in the analysis

When you add a chart to an analysis, the chart will retain its local context (filters that were applied at the time of creation). If you're sharing your analysis with users who have different levels of data security access, you should remove the local context from all the charts in your analysis. If you don't, viewers may not be able to see some of the charts in your analysis because they do not have sufficient data security access to the population that is specified by the applied filters. Once the local context is removed, the charts will reflect the security access of the viewer.

To remove filters from the charts:

Note: You cannot undo this action.

1. In the Analysis Editor, click the More button … > Make analysis dynamic.

2. In the Make Analysis Dynamic dialog, select the applied filters you want to remove.

Note: Only filters applied to charts during their creation (as opposed to filters applied on the analysis level) will appear.

3. Click Apply.

Result: The filters are removed from all charts in the analysis.

Refresh analysis data

By default, analyses are static and show data at a fixed point in time. When you add a chart to an analysis, the chart will retain its local time context (the time period and granularity that was set when the chart was created) and the data will not change over time. However, you can automatically update your analysis so that the charts show data for the latest time period, or you can manually update your analysis so that the charts show data for a specific time period.

Note: If you set your analysis to update automatically, you'll be making your analysis dynamic. Viewers will be able to apply their own time context (change the time period) on the analysis level, which will override the local time context of all the charts in the analysis.

To set up your data refresh settings:

1. Do one of the following:

o In the Analysis Editor, click the Time period label.

o In the Analysis Editor, click the More… button > Update time period.

2. In the Update Time Period dialog, choose one of the following settings:

o Time period as captured: charts will retain their local context and display data for the selected time period and granularity at which the chart was initially created.

Note: Charts that contain a cohort definition that uses a dynamic time context will not work correctly with this option.

o Update automatically: charts will continuously update to display data for the latest time period (even if that week, month, or year has not yet completed).

Note:  

• You can select the time granularity to update to automatically. The data in your analysis will update depending on the granularity selected. The default granularity is months.

• To avoid displaying partial period data, select the Update to latest complete time period box.

• To allow viewers to change the granularity for all charts in the analysis, select the Synchronize chart/time picker granularity box. 

o Set a specific time period: charts will display data for the selected time period.

Note: To apply the granularity that you selected to all charts in the analysis, select the Synchronize chart/time picker granularity box.

3. Click Apply.

Result: The settings will be applied to all charts in the analysis and the label under the description of your analysis changes to indicate the data refresh settings that have been applied.

Example: Applying auto refresh data settings to your analysis

Let's say:

o You have a chart in your analysis that shows the Breakdown of Turnover Count by Organization for July 2018 at a monthly granularity.

o The latest data that is loaded to the solution is for March 8, 2019.

The following table describes the data that is displayed in the chart based on the auto refresh data settings that have been applied to the analysis.

Auto refresh setting Data displayed

Update automatically Turnover Count for March, as of March 8, 2019.

Update to latest complete time period Turnover Count for February 2019.

  • Was this article helpful?