Radar chart

[neeraj_george]

We have been trying to create a radar chart on Qlik.. 

But we are unable to get a clear representation of what we want to show.

The dimension labels are hidden behind the y axis labels and the chart area (as shown in the image below).. What can we do to improve visibility of the dimension labels? (I don't see an option to change the font of the axis labels or the dimension labels)

[neeraj_george · Accepted solution]

We found a solution to edit the chart. We used css script to get the formatting we needed. 

FYI, You can add a multi-kpi box and use "Styles (CSS)" section under Appearance to enter a css script to change the font of the containers added into a sheet.

This is the script we used..
/* to edit the axis labels */
#container_56a5e19b-c9ad-447f-8bd6-65c1627d096a.axisLabel {
fill: #B2BEB5!important;
font-size: 10px !important;
font-weight: bold !important;
}
/* to edit the Dimension labels */
#container_56a5e19b-c9ad-447f-8bd6-65c1627d096a .legend {
fill: black !important;
font-size: 11px !important;
font-weight: bold !important;
}

Note: The container name would have to be changed for each chart you create. This is a limitation we face at the moment..

[jalanhart]

What is your second dimension in this example? I'm curious because really what I need to look like this is two measures and one dimension. 

Your Sales # would be a location for me, and then a measure of an actual result and then another on that is a goal value all the way around the radar. 

[neeraj_george]

My requirement was similar to yours. The graph in my screenshot was capturing the ratings against sales paramters of one city vs the national average.

My data was structured into: 2 dimensions (city and  sales parameter) and 1 measure (rating). I calculated the national average for each sales parameter (in the data load editor) and added it as a new record with city labelled as 'national average'.

In the radar chart, I plotted both dimensions and the sum(rating).. (sum/avg/min/max would've all worked considering my data was unique at a city & sales-parameter level). I then filtered the city dimension for the city of choice and the 'national average'.