Forum Discussion
Percentile Charting
I have a challenge to represent where a selected contact centre agent 'sits' within the quintile distribution of am metric with respect to the whole population (ie within their team or department) for a given date range as selected by the dashboard users with slicers to filter what dept,team and date range is being analysed.
Then to be able to select an agent and it 'pinpoints' where they are relative to the overall quintile value distribution.
This can then be used to look at staff performance of a selected individual versus the rest of the field.
I cannot find any custom visuals that come anywhere near close and looking for assistance on how I can find a solution for this
in this case the example metric is an average income (Income per policy) so I would like a stacked bar or line chart for example that depicts the values of the 5 quintile bands which need to be calculated dynamically on the population based on visual slicers selected
So in the example, of the whole population of a given team over a selected time period, Joe Bloggs shows in the 3rd quintile (boundary ceiling of £77) .
Appreciate this is a little vague, however jsut looking for concepts and pointers to do this.
2 Replies
Hi Melliott23 ,
Looks like Line and stacked column chart.
Values of the 5 quintile bands as Column values and value of slicer as Line values.
Best Regards,
Jay
Thanks Jay, yes we had a contractor come up with that type of design, with a simple prototype bar/line combi and fixed, hard coded data sets and pre-calculated quintile bands for that data set which was for illustration only for the sort of functionality we may be able to leverage in the tool.
So as a Power BI novice it was tricky to envisage how we dynamically model the Quintile bands based on sliced selections of the main data set, so I was taking a punt to see if anyone had done similar or come across any custom visuals that may help our cause. I do appreciate your response.
My company does not allow sharing via drop box or one drive etc, so I screen shot the dashboard page, data and model for context and copied the values in the 2 tables.
The MAIN data set would be the type of data we would retrieve from our back end warehouse i.e. agent level metrics - albeit simplified, the Quintile linked table is the pre-calculated values the contractor set up for the illustration.
Btw I am not convinced the chart function and representation at the right quintile is working quite right tbh but hopefully this gives a gist.
FYI there are 2 metrics in the example a user would want to review: IPP and DISCOUNT hence why 2 charts but we would probably need to analyse any given metric in its own merit so this may be muddying the current waters a little, so if we can get it working on a single chart for one we should be able to apply to other metrics in similar fashion once we figured it out.
Agent
IPP
Discount
IPPCalc
1
85
936
85
2
92
383
92
3
31
438
31
4
52
901
52
5
9
956
9
6
70
927
70
7
55
374
55
8
34
536
34
9
16
978
16
10
59
308
59
11
32
970
32
12
47
803
47
13
52
443
52
14
34
380
34
15
63
428
63
16
50
338
50
17
36
649
36
18
77
774
77
19
76
99
76
Quintiles
IPP
Discount
Q1
33
378
Q2
48
439
Q3
54
749
Q4
73
931
Q5
92
978
