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What’s New

Qrvey 8.5
Version 8.5 (LTS) of the Qrvey platform is now available to customers. This version includes several new features and performance improvements.
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End-of-life Schedule
We've added a new article that lists the features and endpoints that have been scheduled for deprecation. All features and endpoints will be supported for (1) year after the release date of the LTS version that contains the alternative.
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NodeJS Deprecation
AWS has announced that it is deprecating NodeJS 12, 14, and 16. To avoid any issues as a result of this deprecation, upgrade your instances of the Qrvey platform as described in this announcement.
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Version: 8.5

Bucketing Data

Bucketing is a powerful feature that allows for the grouping of multiple data points into a single item, called a bucket, to make analysis easier.

Note: Bucketing is not available for all question or data types.

Creating Buckets

To create a bucket, navigate to the Analyze tab of your web form or dataset, and look for the bucket icon in the upper-right toolbar.


Next, click the orange Add Bucketed Column button.


Once inside the bucket editor, select the column of data you’d like to group into buckets and enter a label for your new (bucketed) column.

If you choose a numeric column to bucket, you can allow Qrvey to manage the buckets by selecting the Basic option. Within the Basic option, you can have either a variable or fixed number of buckets by using the Dynamic or Fixed options respectively. When you choose Dynamic, the current set of buckets will be shown on the right; however, as your data changes, the buckets will be adjusted by Qrvey. If you choose Fixed buckets, you can then specify the number of buckets, the minimum range value, and the maximum range value. If you select Custom buckets, then the current set of Qrvey generated buckets will be shown and you can label, adjust, remove or add buckets as you desire.

If you select a text column to bucket, then you can enter a comma delimited list of bucket names and click the Add Bucket button to create the buckets. Each bucket name has an associated radio button - use this to select a bucket, and then use the checkbox next to each distinct text value in the values list on the right panel, to add or remove values from the bucket. There is a search field at the top of the values list to help you find values easily. You can create an Other bucket using the Unassigned Values As "Other" option. Use the button for a bucket value to remove it, or use the button for a bucket name to delete that bucket.

If you select a date column to bucket, then you can begin creating your buckets by clicking + Add Custom Bucket.


For each custom date or numeric bucket you create, you will first give it a label, which will appear on all of your analytics going forward, and then set the condition and values that will place data points into your bucket. Use the Remove button on a custom bucket to remove it and use the drag handle to reorder custom buckets.

In the screenshot below, we’ve created buckets for the years 1999, 2000-2010, and 2011-2019. All data points will be grouped into these three buckets if conditions are met, and all outliers will be omitted unless catchall buckets are created. (i.e. year < 1999)


Once you’re satisfied with your buckets, click Create to create them. Once created, your new bucketed data column will be available for analysis throughout the application.

Managing Bucketed Columns

Once you have added bucketed columns, then they will be listed in the Buckets modal window.

Each bucketed column has 3 associated icons which allow you to duplicate, edit or delete the column.

Note that when you remove a bucketed column by clicking the button, the bucketed column is removed immediately.