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Hi,
I have a table with medians for the given hour per day (see image below). I am looking to give the top 5 times (hours and day) where the median is the highest number for that week . So basically, looking at the image below you can see that Monday 2pm, 3pm and 5pm are the highest numbers. So the results should be as per below:
Resulting Table Should be:
Day | Time | Top |
Monday | 2pm | 3 |
Monday | 3pm | 3 |
Monday | 5pm | 3 |
Thursday | 2pm | 3 |
Friday | 4pm | 2.83 |
Any assistance?
EDIT:
This is the data from the tables:
storeid | eventdate | EventfromTime | dayname | staff | type | Customer Volume | Customer to Staff Ratio | EventfromTime (bins) | Hour of Day |
2466 | 17 Dec 2017 | 4:00:00 PM | Sun | 1 | staff | 2 | 2 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:05:00 PM | Sun | 1 | staff | 2 | 2 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:10:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:15:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:20:00 PM | Sun | 1 | staff | 2 | 2 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:25:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:30:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:35:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:40:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:45:00 PM | Sun | 1 | staff | 0 | 0 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:50:00 PM | Sun | 1 | staff | 0 | 0 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:55:00 PM | Sun | 1 | staff | 0 | 0 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 5:00:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:05:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:10:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:15:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:20:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:25:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:30:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:35:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:40:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:45:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:50:00 PM | Sun | 1 | staff | 4 | 4 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:55:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
Solved! Go to Solution.
Hi @duggy ,
Use a Table visual to display data and add below [Rank] measure into visual level filter.
rank = VAR Curr_dayname = MAX ( Dataset3[dayname] ) VAR Curr_Event = SELECTEDVALUE ( Dataset3[EventfromTime (bins)] ) VAR Temp_Tab = ALLSELECTED ( Dataset3 ) VAR Temp_Tab1 = SUMMARIZE ( Temp_Tab, Dataset3[dayname], Dataset3[EventfromTime (bins)], "_median", MEDIAN ( Dataset3[Hour of Day] ) ) VAR Temp_Tab2 = ADDCOLUMNS ( Temp_Tab1, "ARANK", RANKX ( Temp_Tab1, [_median] ) ) RETURN MAXX ( FILTER ( Temp_Tab2, Dataset3[dayname] = Curr_dayname && Dataset3[EventfromTime (bins)] = Curr_Event ), [ARANK] )
Best regards,
Yuliana Gu
Hi @duggy ,
Use a Table visual to display data and add below [Rank] measure into visual level filter.
rank = VAR Curr_dayname = MAX ( Dataset3[dayname] ) VAR Curr_Event = SELECTEDVALUE ( Dataset3[EventfromTime (bins)] ) VAR Temp_Tab = ALLSELECTED ( Dataset3 ) VAR Temp_Tab1 = SUMMARIZE ( Temp_Tab, Dataset3[dayname], Dataset3[EventfromTime (bins)], "_median", MEDIAN ( Dataset3[Hour of Day] ) ) VAR Temp_Tab2 = ADDCOLUMNS ( Temp_Tab1, "ARANK", RANKX ( Temp_Tab1, [_median] ) ) RETURN MAXX ( FILTER ( Temp_Tab2, Dataset3[dayname] = Curr_dayname && Dataset3[EventfromTime (bins)] = Curr_Event ), [ARANK] )
Best regards,
Yuliana Gu
absolutely bloody brilliant!!!!
Just one change:
"_median", MEDIAN ( Dataset3[Hour of Day] )
to:
"_median", MEDIAN ( Customer to Staff Ratio] )
Many many thanks, would never have gotten there without the support!
Hi @duggy,
Is the source table formatted as above image? That is to say, there existing columns [EventfromTime], [Sun], [Mon], etc. If not, please show us the source table structure, including column headers and record rows.
Regards,
Yuliana Gu
hi,
Did you see the data tables?
Hi,
Here it is below:
storeid | eventdate | EventfromTime | dayname | staff | type | Customer Volume | Customer to Staff Ratio | EventfromTime (bins) | Hour of Day |
2466 | 17 Dec 2017 | 4:00:00 PM | Sun | 1 | staff | 2 | 2 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:05:00 PM | Sun | 1 | staff | 2 | 2 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:10:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:15:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:20:00 PM | Sun | 1 | staff | 2 | 2 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:25:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:30:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:35:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:40:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:45:00 PM | Sun | 1 | staff | 0 | 0 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:50:00 PM | Sun | 1 | staff | 0 | 0 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:55:00 PM | Sun | 1 | staff | 0 | 0 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 5:00:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:05:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:10:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:15:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:20:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:25:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:30:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:35:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:40:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:45:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:50:00 PM | Sun | 1 | staff | 4 | 4 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:55:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
Hi,
Here is the table broken down:
storeid | eventdate | EventfromTime | dayname | staff | type | Customer Volume | Customer to Staff Ratio | EventfromTime (bins) | Hour of Day |
2466 | 17 Dec 2017 | 4:00:00 PM | Sun | 1 | staff | 2 | 2 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:05:00 PM | Sun | 1 | staff | 2 | 2 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:10:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:15:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:20:00 PM | Sun | 1 | staff | 2 | 2 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:25:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:30:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:35:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:40:00 PM | Sun | 1 | staff | 1 | 1 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:45:00 PM | Sun | 1 | staff | 0 | 0 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:50:00 PM | Sun | 1 | staff | 0 | 0 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 4:55:00 PM | Sun | 1 | staff | 0 | 0 | 4:00:00 PM | 16 |
2466 | 17 Dec 2017 | 5:00:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:05:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:10:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:15:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:20:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:25:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:30:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:35:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:40:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:45:00 PM | Sun | 1 | staff | 2 | 2 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:50:00 PM | Sun | 1 | staff | 4 | 4 | 5:00:00 PM | 17 |
2466 | 17 Dec 2017 | 5:55:00 PM | Sun | 1 | staff | 1 | 1 | 5:00:00 PM | 17 |
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