Displayr

I am facing limitations with the current options for modifying the y-axis in visualizations. The only available options are to hardcode the min or max values or let the visualization auto-scale the axis. It would be beneficial to have more flexible options for scaling the y-axis to better represent data changes, such as wave-over-wave changes, without over-emphasizing them.

I want to create a line chart with a secondary Y-axis in Displayr. Currently, the platform only supports adding a line to a column chart with a secondary Y-axis. It would be beneficial to have the ability to create a line chart with a secondary Y-axis directly, allowing for better visualization of two line charts with different scales.

We allow for Min and Max Axis value to be set but not a specific unit Add an option (like in PPT) to specify the Unit (e.g. unit 10 would add a line on a chart every 10 points apart: 10, 20,30…)

The user would like to be able to wrap the labels in a heat map but this is currently not possible.

When I export a column visualization to PowerPoint, and the orientation of the labels is vertical, the exported chart in PPT has the labels orientated horizontally. They should have the same orientation as they do in Displayr.

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}

Currently, this is not possible to do and has been confirmed by Carmen, however, it would be a good feature to have. For this particular example it meant that the user would have been able to easily distinguish the client brand.

The user would like to be able to customize the labels on the X-AXIS of a Time Series.

More customization on heatmaps. In this case, the user wanted to set the angle of the row label text.

As a legacy chart type, the Snake chart has only a limited set of formatting options available for things like the Category axis labels. Adding the options available to the R-based line visualization (or creating an R-based version of the snake chart) would give users a greater depth of control over the look and feel of their snake charts.