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Per block configuration

All blocks of your reporting have a dedicated configuration that let you have exactly what you expect as information.

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If you have multiple blocks that require to have the same configuration, you can click on the button:

  • APPLY TO ALL BLOCKS

General options​

Standard display​

The standard display mode shows the basic visualization of your data results. This is the default view that presents your question results in their most common format, typically showing response frequencies and percentages without any cross-tabulation or additional variables.

Show the values graph​

This option controls whether a graphical representation of the values is displayed alongside the numerical data. When enabled, it creates a visual chart (such as a bar chart or pie chart) that makes it easier to understand the distribution of responses at a glance. This is particularly useful for quickly identifying trends and patterns in the data.

Graph type of the values graph​

This setting allows you to choose the type of chart used to display your values. Common options include:

  • Bar chart: Displays data as horizontal or vertical bars
  • Pie chart: Shows data as proportional slices of a circle

The choice of graph type depends on your data type and the story you want to tell with your visualization.

Display with a cross variable​

Show distribution chart​

When working with a cross variable, this option displays a graphical representation showing how responses are distributed across different segments of your cross variable. This helps visualize differences between groups and makes patterns more apparent than numbers alone.

Show distribution table​

This option shows a tabular view of the cross-tabulated data, presenting the exact counts or percentages for each combination of the main question and cross variable. Tables are useful when you need precise values or want to reference specific numbers in your analysis.

Global options​

Show counts​

This setting controls whether absolute counts (number of responses) are displayed in addition to or instead of percentages. Showing counts is important when you need to know the actual sample size for each response option or when reporting data that requires transparency about the number of respondents.

Invert chart colors​

This option reverses the color scheme used in your charts. This can be useful for:

  • Creating visual contrast between different reports
  • Improving readability based on different backgrounds
  • Accommodating accessibility needs
  • Matching specific branding or presentation requirements

Advanced options​

Hide Total column​

This option allows you to remove the total column from cross-tabulated data tables. The total column typically shows the overall distribution across all segments. Hiding it can be useful when you want to focus exclusively on comparisons between specific groups without showing the aggregate data, or when space is limited in your report.

Show TopBox​

TopBox analysis displays the percentage of respondents who selected the most positive responses. This is commonly used for rating scales (e.g., satisfaction scales) to quickly identify the proportion of highly satisfied or strongly agreeing respondents. It simplifies complex rating data into a single, easily understandable metric.

TopBox size​

This setting determines how many of the highest rating options are included in the TopBox calculation. For example:

  • Top 1 Box: Only the highest rating (e.g., "Extremely satisfied")
  • Top 2 Box: The two highest ratings (e.g., "Extremely satisfied" + "Very satisfied")
  • Top 3 Box: The three highest ratings

The appropriate size depends on your scale and analysis needs.

Label for the TopBox​

This allows you to customize the label displayed for the TopBox metric in your report. You can use custom labels like "Satisfied", "Positive", "Favorable", or any term that makes sense for your specific question and audience. Clear labeling ensures your audience understands what the TopBox represents.

Show LowBox​

LowBox analysis displays the percentage of respondents who selected the most negative responses. This is the opposite of TopBox and helps identify the proportion of dissatisfied or strongly disagreeing respondents. LowBox is crucial for understanding potential problems or areas of concern in your data.

LowBox size​

This setting determines how many of the lowest rating options are included in the LowBox calculation. For example:

  • Low 1 Box: Only the lowest rating (e.g., "Not at all satisfied")
  • Low 2 Box: The two lowest ratings (e.g., "Not at all satisfied" + "Not very satisfied")
  • Low 3 Box: The three lowest ratings

Choose the size that best captures negative sentiment for your specific scale.

Label for the LowBox​

This allows you to customize the label displayed for the LowBox metric in your report. You can use custom labels like "Dissatisfied", "Negative", "Unfavorable", or any term appropriate for your analysis. Consistent and clear labeling helps communicate negative sentiment effectively.

Show Mean​

This option displays the average (mean) value for numeric rating scales. The mean provides a single summary statistic that represents the central tendency of responses. It's particularly useful for:

  • Tracking changes over time
  • Comparing different questions or segments
  • Statistical analysis and significance testing

Note that means are most meaningful for interval scales where the distance between points is consistent.