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Interpreting Heatmaps in Reputation Datasets

How to read and interpret the data from Heatmaps in the Reputation datasets

Updated this week

This guide explains how to understand and use the Heatmap reports available in the QS Reputation Datasets.

The Heatmap tool provides a visual summary of performance across multiple dimensions, using colours to indicate areas of high and low achievement.

The Heatmap report is available in the Analytics section of your report bar.


1. Understanding the Heatmap Colours

  • Colour Gradient:

    • Bright yellow: Indicates higher performance.

    • Dark brown: Indicates lower performance.


2. Exporting and Copying Data

  • Copy to Clipboard:

    • You can copy data directly from the Heatmap for use in your analyses.

  • Download as CSV:

    • The option to download data relevant from the Heatmap report as a CSV file is available to all users.


3. Customising What You See

There are four dropdown menus you can use to tailor the data displayed in your Heatmap:

Dropdown

Options/Function

Values

- Number of nominations

- Percentages: share of total, column, or row totals

Columns

- Nomination year

Rows

- Nomination item

- Nomination territory

- Respondent territory

- Subject area

- Subject


4. Interpretation of Data Display

  • When you select Nomination item in the Rows Dropdown, you are viewing statistics for each university in the Benchmark Peer list (set in the Dropdown on the top right) plus the Focus Institution (set in the Dropdown on the top left) .

  • When you select the other options, the report displays the aggregate data for all members of the Benchmark list you select (not only for your Focus institution).


5. Common Use Cases

  • Assess Change Over Time: Monitor year-over-year performance for your institution or competitors.

  • Peer Comparison: Identify strengths and weaknesses by comparing multiple peers in one view.

  • Aggregate List Analysis: Examine the trends for pre-defined peer groups.

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