I've been struggling with this for a while and I am posting my first question to this forum hoping for brains trust assistance.
I've been trying to replicate a "Up/Down" bar chart in Power BI showing the difference of a ratio from parity or 1. Essentially it is used to track ratios of two metrics ( A and B or A/B) to each other. If the ratio is 1, then A = B , if it is less than 1 ( say 0.8) then there could be say an overestimation of B the demoninator and if it is greater than 1, then A could be overestimated.
An example of data could be as such.
Store | A | B | Ratio A : B |
Alice Springs | 3041 | 2533.95 | 1.20 |
Brisbane | 8742 | 6723.95 | 1.30 |
Cairns | 1031 | 1085.01 | 0.95 |
Darwin | 8269 | 10208.09 | 0.81 |
This type of chart is relatively easy to plot in Excel by plotting two lines - one series is the ratio of A:B and the other is parity (1) , and then selecting Up/Down bars in the Design Menu, and then setting the two lines to "no line". The key point is that the values "hang off" y=1.
I know enough in Power BI to be dangerous but I can't seem to replicate this visualisation. I am quite happy to do normal variance plots, but certain people HAVE to see the graph as in my screen shot ( labelled 3)
I have begun delving into using ggplot and custom R visuals and lots to pick up.
My question is has anyone tried this before in Power BI? Any pointers at all would be so very appreciated.
Solved! Go to Solution.
Hi @mwimberger
Here is a suggestion that I hope is close to what you want.
It is a similar approach to the "old-fashioned" way of creating waterfall or Gantt charts in Excel and produces a visual like this:
Average Ratio = AVERAGE ( Data[Ratio A : B] ) //Arbitrary aggregation if each row is a data point Difference from 1 = [Average Ratio] - 1 Blank space = MIN ( 1, [Average Ratio] ) Difference from 1 Absolute (Pos) = MAX ( [Difference from 1], 0 ) Difference from 1 Absolute (Neg) = - MIN ( [Difference from 1], 0 )
One drawback is that the Blank space column values can't be transparent (at the moment anyway) so they have to be white (or a background colour), which means gridlines don't display nicely.
There could well be another custom visual out there that would b more suitable but I couldn't get any to work suitably (played with some of the Gantt & bullet visuals).
Regards,
Owen
Proud to be a Datanaut!
Hi there community!
Been struggling with this for a whiile and I am posting my first question to this forum hoping for Brains Trust assistance
I've been trying to replicate a "Up/Down" bar chart in Power BI showing the difference of a ratio from parity or 1 (example below)
Essentially it is used to track ratios of two metrics ( A and B or A/B) to each other. If the ratio is 1, then A = B , if it is less than 1 ( say 0.8) then there could be say an overestimation of B the demoninator and if it is greater than 1, then A could be overestimated.
An example of data could be as such.
Store | A | B | Ratio A : B |
Alice Springs | 3041 | 2533.95 | 1.20 |
Brisbane | 8742 | 6723.95 | 1.30 |
Cairns | 1031 | 1085.01 | 0.95 |
Darwin | 8269 | 10208.09 | 0.81 |
This type of chart is relatively easy to plot in Excel by plotting two lines - one series is the ratio of A:B and the other is parity (1) , and then selecting Up/Down bars in the Design Menu, and then setting the two lines to "No Line". The key point is that the values "hang off" y=1.
I know enough in Power BI to be dangerous but I can't seem to replicate this visualisation. I am quite happy to do normal variance plots, but certain people HAVE to see the graph as in my screen shot ( labelled 3)
I have begun delving into using ggplot and custom R visuals and still lots to pick up!
My question is has anyone tried making this visualisation before in Power BI? Any pointers at all would be hugely appreciated.
Thanks in advance from sunny (weirdly) Melbourne
Hi there community!
Been struggling with this for a whiile and I am posting my first question to this forum hoping for Brains Trust assistance
I've been trying to replicate a "Up/Down" bar chart in Power BI showing the difference of a ratio from parity or 1 (example below)
Essentially it is used to track ratios of two metrics ( A and B or A/B) to each other. If the ratio is 1, then A = B , if it is less than 1 ( say 0.8) then there could be say an overestimation of B the demoninator and if it is greater than 1, then A could be overestimated.
An example of data could be as such.
Store | A | B | Ratio A : B |
Alice Springs | 3041 | 2533.95 | 1.20 |
Brisbane | 8742 | 6723.95 | 1.30 |
Cairns | 1031 | 1085.01 | 0.95 |
Darwin | 8269 | 10208.09 | 0.81 |
This type of chart is relatively easy to plot in Excel by plotting two lines - one series is the ratio of A:B and the other is parity (1) , and then selecting Up/Down bars in the Design Menu, and then setting the two lines to "No Line". The key point is that the values "hang off" y=1.
I know enough in Power BI to be dangerous but I can't seem to replicate this visualisation. I am quite happy to do normal variance plots, but certain people HAVE to see the graph as in my screen shot ( labelled 3)
I have begun delving into using ggplot and custom R visuals and still lots to pick up!
My question is has anyone tried making this visualisation before in Power BI? Any pointers at all would be hugely appreciated.
Thanks in advance from sunny (weirdly) Melbourne
You may try adding the following calculated columns, then drag to Value and Color saturation.
Column = Table1[Ratio A : B] - 1
Column 2 = SIGN ( Table1[Column] )
Hi @mwimberger
Here is a suggestion that I hope is close to what you want.
It is a similar approach to the "old-fashioned" way of creating waterfall or Gantt charts in Excel and produces a visual like this:
Average Ratio = AVERAGE ( Data[Ratio A : B] ) //Arbitrary aggregation if each row is a data point Difference from 1 = [Average Ratio] - 1 Blank space = MIN ( 1, [Average Ratio] ) Difference from 1 Absolute (Pos) = MAX ( [Difference from 1], 0 ) Difference from 1 Absolute (Neg) = - MIN ( [Difference from 1], 0 )
One drawback is that the Blank space column values can't be transparent (at the moment anyway) so they have to be white (or a background colour), which means gridlines don't display nicely.
There could well be another custom visual out there that would b more suitable but I couldn't get any to work suitably (played with some of the Gantt & bullet visuals).
Regards,
Owen
Proud to be a Datanaut!
Owen, this is awesome. I have a question in terms of the X Axis and this is my bad . I tried to give a simple explanation and used arbitary categories on the axis (Alice Springs etc) and assumed I could modify it from there.
If the axis was a date , or a date hierachy, would this still work? I tried to modify the measures and created another visualisation , but it falls over.
Here is a variation of the table , with dates
Date | A | B | Ratio A : B |
1/01/2018 | 117 | 142 | 0.82 |
1/02/2018 | 108 | 113 | 0.96 |
1/03/2018 | 152 | 114 | 1.33 |
1/04/2018 | 137 | 109 | 1.26 |
1/05/2018 | 110 | 123 | 0.89 |
1/06/2018 | 139 | 121 | 1.15 |
1/07/2018 | 197 | 133 | 1.48 |
1/08/2018 | 115 | 150 | 0.77 |
1/09/2018 | 176 | 108 | 1.63 |
1/10/2018 | 132 | 195 | 0.68 |
1/11/2018 | 131 | 117 | 1.12 |
1/12/2018 | 182 | 195 | 0.93 |
1/01/2019 | 147 | 185 | 0.79 |
1/02/2019 | 160 | 107 | 1.50 |
1/03/2019 | 196 | 151 | 1.30 |
1/04/2019 | 139 | 121 | 1.15 |
Thank you so much for your help so far!
Cheers
Manfred
Hi Owen
Your help has been instrumental in solving this issue for me. Thank you!!
I managed to successfully adjust the visualization to deal with dates.
Here is a link for anyone that would like to use this as another example.
Cheers
Manfred
Hi Manfred - looks like you solved the date version before I saw your reply - good work
Glad I could help
Cheers
Owen
Proud to be a Datanaut!
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