Forum Discussion
PKGARG
9 years agoHelper I
Compare SamePeriod Sale
I have two table with Sale 2015-2016 and 2016-2017. In these table i have data of sale locationWise with datewise. Suppose Loc XJ Open 12-06-2015 now i need 1. Compare Sameperiod Sale, for exampl...
- 9 years ago
Hi,
In your situation, we aggregate data with two aspects: Date and Location and the data are separate in two tables. So we need two new tables if you didn’t have them.
DateTable = CALENDAR ( DATE ( 2015, 1, 1 ), DATE ( 2017, 12, 31 ) )
Locations = DISTINCT ( UNION ( SUMMARIZE ( '2015-2016', '2015-2016'[Loc_id], '2015-2016'[Loc_State], '2015-2016'[Loc_City] ), SUMMARIZE ( '2016-2017', '2016-2017'[Loc_id], '2016-2017'[Loc_State], '2016-2017'[Loc_City] ) ) )
Then create relationship with the new table. The details are in the picture (upper).
Create three measures with these formula.
Sales2015-2016 = CALCULATE ( SUM ( '2015-2016'[Sale] ), SAMEPERIODLASTYEAR ( 'DateTable'[Date] ) )
Sales2016-2017 = SUM ( '2016-2017'[Sale] )
Sales Compare = ( [Sales2016-2017] - [Sales2015-2016] ) / [Sales2015-2016]
Create report. Actually, your two reports are one due to we can control the period with the date slicer. Please have a try.
Best Regards!
Dale
PKGARG
9 years agoHelper I
PKGARG
9 years agoHelper I
I Need 2 Report Like This.
| Report 1 | According to Financial Year | ||||
| Sum of Sale | Fin_Year | ||||
| Loc_id | Loc_State | Loc_City | 2015-2016 | 2016-2017 | Sale Compare |
| 11 | HARYANA | SONIPAT | 2850553 | -100.00% | |
| 20 | DELHI | NEW DELHI | 23584820 | 25089441 | 6.38% |
| 26 | DELHI | NEW DELHI | 4459689 | 3613806 | -18.97% |
| 37 | DELHI | NEW DELHI | 4786056 | 4512578 | -5.71% |
| 46 | PUNJAB | AMRITSAR | 5359835 | 4969098 | -7.29% |
| 48 | RAJASTHAN | JAIPUR | 12329267 | 12246815 | -0.67% |
| 51 | UP | MEERUT | 11795879 | 10915441 | -7.46% |
| 56 | DELHI | NEW DELHI | 27982833 | 25676666 | -8.24% |
| 84 | DELHI | NEW DELHI | 20050062 | 7717901 | -61.51% |
| 86 | PUNJAB | JALANDHAR | 6102958 | 6145344 | 0.69% |
| AC | PUNJAB | AMRITSAR | 4121047 | 2879442 | -30.13% |
| AL | JAMMU & KASHMIR | JAMMU | 9480714 | 10413620 | 9.84% |
| AQ | WEST BENGAL | KOLKATTA | 17794293 | 18481258 | 3.86% |
| AV | UNION TERR | CHANDIGHAR (UT) | 5223224 | -100.00% | |
| Grand Total | 155921231 | 132661410 | -14.92% |
- PKGARG9 years agoHelper I
Report 2 According To Same Period In Financial Year Sum of Sale Fin_Year Loc_id Loc_State Loc_City 2015-2016 2016-2017 Sale Compare 11 HARYANA SONIPAT #DIV/0! 20 DELHI NEW DELHI 23584820 25089441 6.38% 26 DELHI NEW DELHI 4459689 3613806 -18.97% 37 DELHI NEW DELHI 4786056 4512578 -5.71% 46 PUNJAB AMRITSAR 5359835 4969098 -7.29% 48 RAJASTHAN JAIPUR 12329267 12246815 -0.67% 51 UP MEERUT 11795879 10915441 -7.46% 56 DELHI NEW DELHI 27982833 25676666 -8.24% 84 DELHI NEW DELHI 20050062 7717901 -61.51% 86 PUNJAB JALANDHAR 6102958 6145344 0.69% AC PUNJAB AMRITSAR 4121047 2879442 -30.13% AL JAMMU & KASHMIR JAMMU 9480714 10413620 9.84% AQ WEST BENGAL KOLKATTA 17794293 18481258 3.86% AV UNION TERR CHANDIGHAR (UT) #DIV/0! Grand Total 147847454 132661410 -10.27%