Displayr

Customer would like to export data tables or visualizations to Google Slides or Google sheets. If the data tables goes into google sheets the slides part could be linked to google sheets. Their customers demand the presentations be in Google Slides.

I am trying to format specific columns in a table using R code using formattable or other tools (which may create HTML based outputs). However, when I export the table to Excel, the formatting is lost, and the file is blank. It would be beneficial to have a feature that allows exporting R-based formatted tables directly to Excel without losing the formatting.

A user is asking about running Plackett-Luce mode in Displayr.

Have a more dialogic, conversational AI inquiry system, similar to a co-pilot, to explore data and surface "aha moments.

Linked to: [ https://numbers.atlassian.net/browse/RS-11728|https://numbers.atlassian.net/browse/RS-11728|smart-link ] The user would like to add a + sign in front of positive NPS scores.

There is no current way in the interface to set distance between the markers to anything other than automatic. This can only be done with code: {noformat}values.tick.distance = 0.1,{noformat}

The user would like to be able to set the axis tick distance as 10 but it automatically sets this as 20 with no option to change this.

Add a supported QScript/flipAPI method to programmatically generate and/or retrieve a shareable direct-download URL (or file GUID) immediately after QSaveData() runs. Currently, when exporting data via QScript using QSaveData(), there is no supported way to automatically obtain the resulting file’s shareable direct-download URL (or the underlying file GUID/identifier) for downstream automation. Introduce a supported API method, for example: GetShareLink(GUID)

Sometimes I can't remember the name of a document or folder but I know roughly when I created it. It would be great to be able to search the Document's page by date to help find things.

Currently, if I create a report as a template of a typical survey, when I update the data, only variables/questions are matched/updated that EXACTLY match the previous data file structure in terms of variable name, label, and value attributes. I would like a smarter way to update a standard survey data file/report template that recognizes that there can be small differences in variable names if the label and value attributes are the same, for example, or that small variations in the label and value attributes are OK - like a sort of fuzzy match. Whenever there's not an exact match, though, it should be possible for me to revert/NOT match the variables to create a new one.