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Results-Reports Visualizations

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About Results-Reports Visualizations

Visualizations are tables or graphs that display your data. When you generate a report in the Results section, visualizations are created for you automatically, but you can always add more. Each visualization varies in its options and settings, however, there are some basic principles that apply to all or most visualization types, which we will detail on this page.

Qtip: This support page covers visualizations on Results.

Results tab in upper-left highlighted

If you are instead looking for information on visualizations in the Reports section, see Advanced-Reports Visualizations.

Visualization Types

You can change the visualization by selecting the corresponding icon under the Visualization section. Hovering over the icon will tell you the name. For existing visualizations, the current type will be highlighted in blue.

visualization selection menu on the editing pane

Each visualization varies in its options and settings, which you can find detailed on the linked pages.

Attention: Not every question type is compatible with every visualization. For example, it doesn’t make sense to have a Bar Chart option for Text Entry questions. For more specific details, see each visualization’s support page for a list of compatible or incompatible features.




Data Sources

A data source is the source of the data you want your visualization to display. These sources can include questions you asked in the survey, or additional fields, such as survey metadata and embedded data.

To set or change a visualization’s data source, click on the visualization, then click the dropdown under Data Source.

on the visualization editing pane, the data source dropdown at the top
Some pages of your report are specific to a question. In this case, you cannot change the data source, and this section will be grayed out. However, some question types, such as NPS and matrix questions, will have multiple options. More is detailed in the Survey Questions section below.

In contrast, you can always change the data source on a visualization on a custom page.

Warning: You can only load one field into the data source at a time! You cannot put two different questions into the same visualization. If you want to split results by other fields, such as by showing how men vs. women responded to a question, see the Breakouts section below.

There are three main types of data sources you can represent in a visualization: survey metadata, question answers, and Embedded Data. Depending on the particular type of information you select, you’ll have different visualizations available to use.

Survey Questions

There are many different question types in Qualtrics, and each question type has different visualizations it’s compatible with. Some question types have only one data source option (i.e., only one way to represent the data), but for other question types, you will have additional options. Possible options include the following:

  • Text Entry: For form field questions, you can choose which field you want to display.
    data source for a form text entry shows you can individually choose each option separately (eg, name, email, phone)
  • Choices: For questions with multiple statements and choices (matrix, rank order, slider, etc.), you can choose to display either all the possible choices together or just one particular choice alone.
    on a multi-statement question, you can choose all or one statement at a time for data source
  • NPS®: For NPS® questions, you can view the NPS® groups (Detractor, Passive, and Promoter, all calculated for you) or you can view the actual numeric values (0–10) the question displays to respondents.
    for nps question's data source, you can select nps group or numeric value

Embedded Data

Embedded data is any extra information you’ve recorded in addition to your question responses. These include embedded data fields set in the survey flow and custom columns added in the Data & Analysis tab.

Embedded data fields don’t have multiple data source options, but the type of data captured in the field can affect what types of visualizations are available.

Qtip: Some visualizations won’t be available for your embedded data until you save it in a way that specifies what type of variable it is. For example, you have to specify that embedded data is numeric before it can be loaded into a statistics table. See the page on Embedded Data Options for more assistance. Similar rules also apply to manual variables.

Survey Metadata

Survey metadata is information automatically collected when a respondent takes a survey. Survey metadata fields include the following:

  • Start Date: The date and time the survey was started.
  • End Date: The date and time the survey was completed.
  • Response Type: The type of response collected (survey preview, IP address, offline app, etc.).
    Qtip: A response type of IP Address means the response was collected via the anonymous link, individual links, or personal links.
  • IP Address: The IP address collected from the respondent’s browser.
  • Progress: The percent to which the survey was completed. For most respondents this will be 100.
    Qtip: If a response was incomplete and only recorded after the session expired, the progress will contain a lower number.
  • Duration: The number of seconds it took the respondent to complete the survey.
  • Finished: The status of the respondent’s survey (true = completed, false = incomplete).
  • Recorded Date: The date and time the survey was recorded in the dataset.


For some visualizations, you can select the metric (count, percentage, mean, etc.) being displayed. The exact options available will depend on both the particular data source and the visualization type selected.

metric dropdown in the visualization editing pane

Types of Metrics

  • Mean: Display the average, or mean, of the collected responses.
  • Min: Display the minimum value response. This will always be the lowest point on your scale if you have a multiple choice question, whereas a question where respondents can enter values in will be less predictable.
  • Max: Display the maximum value response. This will always be the highest point on your scale if you have a multiple choice question, whereas a question where respondents can enter values in will be less predictable.
  • Net Promoter® Score: This is a calculation of the Net Promoter® Score. Although you can technically select this metric for other question types, this metric is best for when your survey actually contains an NPS® question.
  • Response Count: The number of people who responded to a question.
    Qtip: If your questions don’t have validation on them forcing respondents to answer, then this number can be lower than your number of total survey respondents.
  • Choice Count: The number of times each choice was selected by respondents.
    Qtip: If you have questions where respondents can provide multiple answers, this number may be much larger than your respondent count.
  • Sum: The total sum of all the respondents’ answers to the questions added together.
  • Percentage: The percentage of respondents who chose each choice.

Decimal Places

You can determine how many decimal places display in your visualization.

on the right side editing pane, adjust decimal places for the rest of the table or graph

To adjust this globally, for all visualizations in your report, open your global options.


Have you ever wanted to display data from different samples side by side? Maybe you want your satisfaction bar graph to show how women responded and how men responded right next to each other. Maybe you want to show each store location’s data in the same graph. In that case, you may want to use a visualization breakout.

breakout by has split the table into male and female respondents' results for the question

For additional information, visit the Results-Reports Breakouts support page.


Every visualization allows you to set a custom title for your table or graph.

Select the box next to the Title field to make the default title automatically appear. Type into the field to create your own custom title.

the title checkbox is selected, and even though the corresponding field is empty, the visualization now has a title over it

To return to the default title, just erase what you wrote.

Qtip: If your visualization is for one statement of a matrix table, you’ll want to check the title box so you know which statement the visualization is referring to.

Color Palette

You can adjust the colors used in your chart type visualizations. Click the dropdown under Color Palette to select from a list of premade palettes.

color palette on the visualization editing pane corresponds to the colors of the chart's bars

To reverse the order of the palette, select Reverse Colors.

Add your own custom palettes by clicking the dropdown and selecting Add Custom Palette. See Adding Custom Palettes page for more information.

Qtip: Change the default palette for all the visualizations in your report under global options!