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Calculate and display moving 12 month Injury Frequency Rates on a dashboard
I need to show the 12-month moving LTIFR and TRIFR rates in a dashboard
I already have the values calculated and the targets, but I don't know how to show that in a kpi or gauge visual
Being able to display a slicer to select the month you want to view (if you're in November 23, you're looking at Dec 23 - Nov 23, if you've selected Aug 23, you're looking at Sep 22 - Aug 23 etc)
Data I use to calculate the LTIFR & TRIFR rate
Month | Hours | Lost Time Injuries | Restricted Duties Injuries | Medical Treatment Injuries | First Aid Treatment Injuries | Non-Treatment Injuries |
Jan-20 | 0 | 0 | 0 | 0 | 0 | |
Feb-20 | 0 | 0 | 0 | 0 | 0 | |
Mar-20 | 0 | 0 | 0 | 0 | 0 | |
Apr-20 | 0 | 0 | 0 | 0 | 0 | |
May-20 | 0 | 0 | 0 | 0 | 0 | |
Jun-20 | 0 | 0 | 0 | 0 | 0 | |
Jul-20 | 9,280 | 0 | 0 | 0 | 1 | 0 |
Aug-20 | 14,240 | 0 | 0 | 0 | 0 | 0 |
Sep-20 | 25,749 | 0 | 0 | 1 | 2 | 0 |
Oct-20 | 30,793 | 0 | 0 | 0 | 0 | 0 |
Nov-20 | 36,380 | 0 | 0 | 0 | 1 | 0 |
Dec-20 | 33,448 | 0 | 1 | 1 | 0 | 0 |
Jan-21 | 38,608 | 0 | 0 | 0 | 0 | 0 |
Feb-21 | 36,687 | 0 | 0 | 0 | 0 | 0 |
Mar-21 | 37,836 | 0 | 0 | 0 | 0 | 0 |
Apr-21 | 51,804 | 0 | 0 | 0 | 0 | 0 |
May-21 | 37,323 | 0 | 0 | 0 | 0 | 0 |
Jun-21 | 42,364 | 0 | 0 | 0 | 0 | 0 |
Jul-21 | 41,452 | 0 | 0 | 0 | 0 | 0 |
Aug-21 | 41,828 | 0 | 0 | 0 | 0 | 0 |
Sep-21 | 46,423 | 0 | 0 | 0 | 0 | 0 |
Oct-21 | 44,039 | 0 | 0 | 0 | 1 | 0 |
Nov-21 | 58,937 | 0 | 0 | 0 | 2 | 0 |
Dec-21 | 44,597 | 0 | 0 | 0 | 2 | 2 |
Jan-22 | 49,038 | 0 | 0 | 0 | 1 | 0 |
Feb-22 | 38,767 | 0 | 0 | 0 | 0 | 1 |
Mar-22 | 60,834 | 0 | 0 | 0 | 1 | 0 |
Apr-22 | 49,467 | 0 | 0 | 0 | 2 | 0 |
May-22 | 58,677 | 0 | 0 | 1 | 1 | 2 |
Jun-22 | 58,861 | 0 | 0 | 0 | 1 | 0 |
Jul-22 | 55,735 | 0 | 0 | 0 | 1 | 0 |
Aug-22 | 60,586 | 1 | 0 | 0 | 1 | 0 |
Sep-22 | 60,979 | 0 | 0 | 0 | 1 | 0 |
Oct-22 | 63,521 | 0 | 0 | 1 | 3 | 0 |
Nov-22 | 76,629 | 0 | 0 | 1 | 3 | 0 |
Dec-22 | 66,260 | 0 | 0 | 1 | 1 | 0 |
Jan-23 | 67,275 | 0 | 0 | 0 | 1 | 0 |
Feb-23 | 77,883 | 0 | 0 | 0 | 0 | 0 |
Mar-23 | 74,049 | 0 | 0 | 0 | 0 | 0 |
Apr-23 | 72,468 | 0 | 0 | 1 | 0 | 0 |
May-23 | 77,282 | 0 | 0 | 1 | 3 | 0 |
Jun-23 | 70,063 | 0 | 0 | 0 | 0 | 0 |
Jul-23 | 62,458 | 0 | 0 | 0 | 0 | 0 |
Aug-23 | 58,044 | 1 | 0 | 0 | 0 | 0 |
Sep-23 | 57,885 | 1 | 0 | 0 | 0 | 0 |
Oct-23 | 67,037 | 0 | 0 | 0 | 0 | 0 |
Nov-23 | 68,944 | 0 | 0 | 0 | 0 | 0 |
Dec-23 | 68,304 | 0 | 0 | 0 | 0 | 0 |
Jan-24 | 68,474 | 0 | 0 | 0 | 0 | 0 |
Feb-24 | 68,574 | 0 | 0 | 0 | 0 | 0 |
Mar-24 | 67,799 | 0 | 0 | 0 | 0 | 0 |
Apr-24 | 67,278 | 0 | 0 | 0 | 0 | 0 |
May-24 | 66,845 | 0 | 0 | 0 | 0 | 0 |
Jun-24 | 65,976 | 0 | 0 | 0 | 0 | 0 |
Jul-24 | 65,635 | 0 | 0 | 0 | 0 | 0 |
Aug-24 | 65,900 | 0 | 0 | 0 | 0 | 0 |
Sep-24 | 66,554 | 0 | 0 | 0 | 0 | 0 |
Oct-24 | 67,277 | 0 | 0 | 0 | 0 | 0 |
Nov-24 | 67,297 | 0 | 0 | 0 | 0 | 0 |
Dec-24 | 67,159 | 0 | 0 | 0 | 0 | 0 |
Calculated values
Rolling Averages Month | Rolling LTIFR | LTIFR Target | Rolling RDIFR | Rolling MTIFR | Rolling TRIFR | TRIFR Target | Rolling AIFR |
Jan-21 | - | 5.31 | 10.61 | 15.92 | 37.14 | ||
Feb-21 | - | 4.44 | 8.88 | 13.32 | 31.09 | ||
Mar-21 | - | 3.80 | 7.60 | 11.41 | 26.61 | ||
Apr-21 | - | 3.18 | 6.35 | 9.53 | 22.23 | ||
May-21 | - | 2.84 | 5.68 | 8.52 | 19.88 | ||
Jun-21 | - | 2.53 | 5.07 | 7.60 | 17.74 | ||
Jul-21 | - | 2.34 | 4.69 | 7.03 | 14.06 | ||
Aug-21 | - | 2.20 | 4.40 | 6.60 | 13.21 | ||
Sep-21 | - | 2.11 | 2.11 | 4.21 | 6.32 | ||
Oct-21 | - | 2.05 | 2.05 | 4.10 | 8.19 | ||
Nov-21 | - | 1.96 | 1.96 | 3.92 | 9.79 | ||
Dec-21 | 0.00 | 0.00 | 0.00 | 0.00 | 13.41 | ||
Jan-22 | 0.00 | 0.00 | 0.00 | 0.00 | 15.03 | ||
Feb-22 | 0.00 | 0.00 | 0.00 | 0.00 | 16.84 | ||
Mar-22 | 0.00 | 0.00 | 0.00 | 0.00 | 17.94 | ||
Apr-22 | 0.00 | 0.00 | 0.00 | 0.00 | 21.62 | ||
May-22 | 0.00 | 0.00 | 1.73 | 1.73 | 27.76 | ||
Jun-22 | 0.00 | 0.00 | 1.69 | 1.69 | 28.67 | ||
Jul-22 | 0.00 | 0.00 | 1.65 | 1.65 | 29.64 | ||
Aug-22 | 1.60 | 0.00 | 1.60 | 3.20 | 31.95 | ||
Sep-22 | 1.56 | 0.00 | 1.56 | 3.12 | 32.79 | ||
Oct-22 | 1.52 | 0.00 | 3.03 | 4.55 | 36.36 | ||
Nov-22 | 1.48 | 0.00 | 4.43 | 5.90 | 38.37 | ||
Dec-22 | 1.43 | 0.00 | 5.72 | 7.15 | 34.32 | ||
Jan-23 | 1.39 | 5.98 | 0.00 | 5.57 | 6.97 | 7.69 | 33.45 |
Feb-23 | 1.32 | 5.98 | 0.00 | 5.29 | 6.61 | 7.69 | 30.39 |
Mar-23 | 1.30 | 5.98 | 0.00 | 5.20 | 6.49 | 7.69 | 28.57 |
Apr-23 | 1.26 | 5.98 | 0.00 | 6.31 | 7.57 | 7.69 | 26.48 |
May-23 | 1.23 | 5.98 | 0.00 | 6.16 | 7.39 | 7.69 | 25.88 |
Jun-23 | 1.22 | 5.98 | 0.00 | 6.08 | 7.29 | 7.69 | 24.31 |
Jul-23 | 1.21 | 5.98 | 0.00 | 6.03 | 7.23 | 7.69 | 22.91 |
Aug-23 | 1.21 | 5.98 | 0.00 | 6.05 | 7.26 | 7.69 | 21.77 |
Sep-23 | 2.43 | 5.98 | 0.00 | 6.07 | 8.50 | 7.69 | 21.85 |
Oct-23 | 2.42 | 5.98 | 0.00 | 4.83 | 7.25 | 7.69 | 16.92 |
Nov-23 | 2.44 | 5.98 | 0.00 | 3.66 | 6.10 | 7.69 | 12.20 |
Dec-23 | 2.43 | 5.98 | 0.00 | 2.43 | 4.87 | 7.69 | 9.74 |
Jan-24 | 2.43 | 5.98 | 0.00 | 2.43 | 4.86 | 7.69 | 8.51 |
Feb-24 | 2.46 | 5.98 | 0.00 | 2.46 | 4.92 | 7.69 | 8.60 |
Mar-24 | 2.48 | 5.98 | 0.00 | 2.48 | 4.95 | 7.69 | 8.67 |
Apr-24 | 2.49 | 5.98 | 0.00 | 1.25 | 3.74 | 7.69 | 7.48 |
May-24 | 2.53 | 5.98 | 0.00 | 0.00 | 2.53 | 7.69 | 2.53 |
Jun-24 | 2.54 | 5.98 | 0.00 | 0.00 | 2.54 | 7.69 | 2.54 |
Jul-24 | 2.53 | 5.98 | 0.00 | 0.00 | 2.53 | 7.69 | 2.53 |
Aug-24 | 1.25 | 5.98 | 0.00 | 0.00 | 1.25 | 7.69 | 1.25 |
Sep-24 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Oct-24 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Nov-24 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Dec-24 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Jan-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Feb-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Mar-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Apr-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
May-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Jun-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Jul-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Aug-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Sep-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Oct-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Nov-25 | 0.00 | 5.98 | 0.00 | 0.00 | 0.00 | 7.69 | 0.00 |
Dec-25 | #DIV/0! | 5.98 | #DIV/0! | #DIV/0! | #DIV/0! | 7.69 | #DIV/0! |
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HI @narragirl85,
It seems like you want to use slicer to achieve selector effect instead of filter effects.
For this scenario, you can create an unconnected table with date values and use this as source of filter.
Then you can write a measure formula to check the current table records and selection values to return tag and use this on 'visual level filter' to filter records within specific date ranges.
Regards,
Xiaoxin Sheng
If this post helps, please consider accept as solution to help other members find it more quickly.
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I've used a work around for the meantime - I've just filtered the month column for the visual, but because powerbi is averaging the values I can't figure out another way to do it
I do have a separate date table that I can use - I just don't know what that formula would look like
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Please explain what LTIFR and TRIFR rates mean and how they are computed.
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LTIFR - Lost Time Injury Frequency Rate
TRIFR - Total Recordable Injury Frequency Rate

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