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Advanced-Reports Visualizations

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About Advanced-Reports Visualizations

Visualizations are the charts and tables you use to represent your data in the Reports section. While each visualization has its own special features, there are certain edits you can make to just about any visualization.

Insert Button

The Insert buttons allow you to insert a new visualization. The top Insert button adds visualizations above the existing one, and the bottom Insert button adds visualizations below them.
Insert buttons above and below each visualization
See the page on Adding and Removing Visualizations for more details on inserting visualizations.

You can also use this option to add a Page Break when you click Insert and select Page Break.
Page break option under the Insert button

Options Button

When you click on a visualization, you will see the Options button.
Options button on a visualization expanded

  • Copy: Copy the visualization. Use Edit > Paste to paste.
  • Remove/Insert Title: Remove or add the visualization’s title. This option is only available for charts and the Word Cloud.
  • Export to: Save the visualization as a JPEG image or as a DOCX file.
  • Remove: Delete the visualization.

Editing Titles

Chart visualizations and the Word Cloud allow you to edit their titles if you double-click on them.

Rich Content Editor above a visualization title in the process of being edited

You can erase and retype the text of the title, adjust the font style, and change the format of the text with the Rich Content Editor, highlighted at the top.

Data Source

When you set a data source for a visualization, you are telling it where its data is supposed to come from.

When you click on a visualization’s Metrics and look under Data Source, you will usually see the following fields:

Data Source on the visualization editing pane on the right

  1. The survey the data is coming from.
  2. The question, Embedded Data, or metadata being pulled from that survey into the visualization.
  3. You will also see a Metric dropdown, wherein you select the format of the data.

The questions, Embedded Data, and metadata available to you will depend on the kind of visualization you want to create. For example, bar graphs are great for displaying the results of a Multiple Choice question, but not so great for displaying the results to a Text Entry question. Visit a visualization’s support page to learn more about what it is compatible with.

Qtip: Usually, Step 1 of your Data Source is the same survey you created the report in. But let’s say you want to include last year’s data on this year’s report. You can add a visualization that uses data from an older survey by clicking the dropdown with the name of your survey and selecting another one from your list of surveys.
Qtip: Learn more about adding additional data sources to a visualization on the Multiple Data Sources in Advanced-Reports page.


Visualization-Level Filters

Visualization-level filters have the same conditions and functions as global report filters, except that they apply to the individual visualization instead of the whole report.

Visualization-level and global filters are always added on top of each other. For example, if you global filter isolates male data, and the visualization is filtered to only display data from respondents who indicated high dissatisfaction, the visualization will display only data from men who rated high levels of dissatisfaction.

Adding Visualization Filters

  1. Click on a visualization to open the visualization editing pane to the right.
    Filters option in the visualization editing pane
  2. Click the Filters dropdown.
  3. Follow the directions for building filters described on the global report filters page.
    Select a field in Filters window expanded to show a list of questions and Survey Metadata
  4. When finished, click Save.

Visualization Type

You can change an existing visualization’s type. Click on an icon under the Visualization section to change the type.

The visualization type you are currently using will be listed first and highlighted in blue. When you hover over this icon, it will tell you the name.

Bar Chart with the corresponding icon highlighted on the visualization editing pane

If you don’t see the visualization you want, click the last icon on the right to view more visualization options.

Three parallel dots expands a menu of additional visualizations that couldn't fit


The Metric dropdown determines what format of data you want to include in your visualization. These options can vary based on the type of visualization you’ve chosen.

Metric dropdown in the visualization editing pane

Types of Metrics

  • Mean: Display the average, or mean, of the collected responses.
  • Median: The median of your data set is the exact midpoint. When all of your collected values as organized from smallest to largest, this value is right in the middle.
    Qtip: Qualtrics calculates the median using a non-deterministic percentiles aggregation to approximate the desired percentage counts at scale. The median, or 50th percentile, is accurate at about 99.9% on average.
  • 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.
  • NPS: 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.
  • Responses: 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.
  • Percentage: The percentage of respondents who chose each choice.
  • Sum: The total sum of all the respondents’ answers to the questions added together.
Qtip: Learn more about adding additional metrics to a visualization on the Multiple Data Sources in Advanced-Reports page.


You can change the metric on the following visualizations.


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 breakout on your visualization.

Breakout dropdown on the visualization editing pane

Click the Breakout dropdown and select the field you want to break out the data by.
A frequency question broken out by the gender of the respondent
If you decide you no longer want a breakout on your graph, you can click the Breakout dropdown again and select None.
Breakout Dropdown with None highlighted

Qtip: Only one breakout can be added to a visualization at a time. For more detailed results, combine your breakouts with visualization filters!


The following visualizations are compatible with breakouts:

Qtip: For visualizations that don’t allow breakouts, try copying the visualization and adding visualization filters.

Color Palette

Color Palette in the visualization editing pane

The colors used in your visualization. You can select a premade color palette or create one yourself.

Qtip: You can change the color palette for all the unedited visualizations in the report by going to the global visualization settings.

Legend Values & Position

On charts that display many different data points displayed in an array of colors, a legend can help us understand what the chart means.

By editing the Legend, you can also edit how your chart looks, and make the data even clearer.

Legend Values in visualization editing pane

  1. Click and drag to change the order in which values appear.
  2. Deselect the box to hide the value from the visualization. Select the box to include it.
  3. Click the color and drag your cursor over the color picker to change the color for just one value.
  4. Type in the field to change how the value is labeled on the visualization.
    Qtip: This will not affect how the answer is labeled in the survey itself.
  5. Adjust the position of the legend relative to the rest of the graph. Or select None to hide the legend entirely.


You can add a legend to the following visualizations. Those that have additional features available for their legends will have more information on their respective support pages.

Display Logic

Qtip: This is not the same as Display Logic in the survey editor.

Report display logic options

When set, Display Logic allows you to determine the anonymity threshold of your visualization. Determine how many people must answer a question before the visualization appears in the public link to the report. (This data will remain in PDF exports.)

You can decide if everyone sees the visualization, the default rule is followed, or to set a custom minimum number of responses. Hovering over the eye on a widget will tell you if it will be displayed or not.

Tooltip from eye icon

This feature is important in making sure no one knows who answered what. If there’s no display logic set and Barnaby is the only person to answer the survey, everyone who looks at the report will know what answers Barnaby gave to the survey.

Qtip: If your visualization shows multiple metrics, then display logic is evaluated for each metric and applied to the widget overall. For example, let’s say your widget shows Q1 and Q2 which have one and six responses, respectively. If you set your display logic to five responses, then the widget will not be displayed since Q1 only has one response.

Advanced Display Logic

Advanced options allow you to add conditions and limit when the widget is displayed based off of answers provided to other questions.

  1. Select the visualization.
    Pie Chart is selected and in the editing pane to the right are the options described
  2. Select Custom Rule.
  3. Click Advanced.
  4. Choose a metric. This can be Mean, Min, Max, number of responses, or Sum.
    Setting a condition
  5. Select the question you’d like to create a condition based on.
  6. Set the value.
  7. Add more conditions using the plus sign ( + ).
    Qtip: For more about how conditions are combined, see the Filtering Responses page on New Conditions and Condition Sets and All vs. Any.
  8. Click Save and Apply.

Any display logic you create, you can reuse in reports for the same survey later.

Example: Your survey has a question asking customers if they’ve ever tried the food at your theme park (Question A). Customers are also asked to rate their satisfaction with the food (Question B).

Your report has a Pie Chart showing food satisfaction (Question B). You can add Advanced Display Logic to determine this Pie Chart can only be displayed if more than 5 people say they’ve eaten food at the park (Question A) to determine you’re getting a big enough sample of the target population’s data.


You can set the margins around your visualization. This helps you determine the amount of space between it and the visualizations around it.

Margin in visualization editing pane adjusting the blue outlines around the visualization

By clicking Advanced, you can individually adjust the margin on each side of the visualization.
Remove button at bottom of visualization editing pane

Qtip: You can change the margins for all unedited visualizations at a time with the global visualization settings.

Visualization Categories

Below are the different categories of visualizations and links to their individual support pages.