Forum Discussion
Percentile Charting
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 |