Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
HI all
I have a question regarding comparing 2 tables. (same columns. The only difference is that in the Baseline we have the expected CUIDS x month and in the "Slipp Country " table we have the CUIDs that slipped)
When crating the table, I show the correct #CUID Baseline x Month but the #CUID slippage is only correct for July
For example, Australia in August should show:
CUID BASeline= 16
CUID Slippage: 7 (but table is showing 11)
For example, Australia in september should show:
CUID Baseline= 14
CUID Slippage: 3 (but table is showing 😎
the idea is to get both numbers in the table and then create the measure to show %slippage x month x country.
Thanks
HI
Saw this solution from @selimovd but not really working for me. Do I miss something?
The idea is to check in the baseline against the CUIDS that slipped x month.
Hi Selimovd.
I was trying to use your formula but I get all YES. with the filter.
What am I trying to create like a double VLOOKUP with a formula that says.
IF the CUID and Month of table 1 (Baseline) EQUALS CUID and Month of table 2 (Slipapge), Yes, otherwise No.
Hi Selimovd,
I have one table with 1534 CUIDs (Baseline table)
& I have another table with 478 CUIDs (Cuid that slipped the Go Live Date)
I am trying to create a table that shows x month and Country the Baseline...how many CUIDs slipped and the % x country x month.
Real numbers should be:
July – 302 Baseline vs 90 slipped (30%)
Aug – 229 Baseline vs 78 slipped (34%)
Sep – 269 Baseline vs 83 slipped (31%)
Oct – 330 baseline vs 89 slipped (27%)
Nov – 277 Baseline vs 103 slipped (37%)
Dec – 127 baseline vs 35 slipped (28%)
Total – 1534 Baseline vs 478 slipped (31.16%)
When I try to build the table I show correctly yhe CUID baseline but CUID slipped are wrong. It's showing wrong numbers.
Baseline Excel file looks like:
| Client Name | Country | CUID Baseline Country | Project Health | SL_CUID | Month |
| Czech Republic | 1000886CZ01 | Green | - | 2022-07 | |
| United Kingdom | 1000886GB01 | Green | - | 2022-07 | |
| France | ALLVFR01 | Green | - | 2022-07 | |
| Netherlands | ALLVNL01 | Green | - | 2022-07 | |
| Singapore | ALLVSG01 | Green | - | 2022-07 | |
| Canada | ANYSCA01 | Green | - | 2022-07 | |
| Australia | ASHDAU01 | Green | - | 2022-07 | |
| Lebanon | 380227LB01 | Green | - | 2022-07 | |
| Lebanon | 380227LB02 | Green | - | 2022-07 | |
| Canada | CSAUCA01 | Green | - | 2022-07 | |
| Czech Republic | DELLCZ01 | Green | - | 2022-07 | |
| United States | 1000204US01 | Green | - | 2022-07 | |
| United States | 1000204US02 | Green | - | 2022-07 | |
| Mexico | 1000220MX01 | Green | - | 2022-07 | |
| United Kingdom | 1000220GB01 | Green | - | 2022-07 | |
| United States | 1000220US01 | Green | - | 2022-07 | |
| France | 1000542FR01 | Green | - | 2022-07 | |
| France | 1000542FR02 | Green | - | 2022-07 | |
| France | 1000542FR03 | Green | - | 2022-07 | |
| France | 1000542FR04 | Green | - | 2022-07 |
And Slippage Excel file
| Client Name | Country | CUID Slippage Country | Project Health | SL_CUID | Month |
| Singapore | 380305SG01 | Green | - | 2022-07 | |
| Singapore | 380305SG02 | Green | - | 2022-07 | |
| France | ALLVFR01 | Green | - | 2022-07 | |
| Netherlands | ALLVNL01 | Green | - | 2022-07 | |
| Singapore | ALLVSG01 | Green | - | 2022-07 | |
| Australia | 1000061AU02 | Green | - | 2022-07 | |
| Australia | 380227AU01 | Green | - | 2022-07 | |
| France | 380221FR02 | Green | - | 2022-07 | |
| Netherlands | 380291NL01 | Green | - | 2022-07 | |
| chile | EIDUCL01 | Green | - | 2022-07 | |
| chile | EIDUCL02 | Green | - | 2022-07 | |
| chile | EIDUCL03 | Green | - | 2022-07 | |
| India | 1000322IN01 | Green | - | 2022-07 | |
| Hong Kong | EDGCHK01 | Green | - | 2022-07 | |
| Panama | 1000501PA01 | Green | - | 2022-07 | |
| Venezuela | 1000501VE01 | Green | - | 2022-07 | |
| Bulgaria | HAPABG01 | Green | - | 2022-07 | |
| New Zealand | ICESNZ02 | Green | - | 2022-07 | |
| United States | 380306US01 | Green | - | 2022-07 | |
| France | 380263FR01 | Green | - | 2022-07 | |
| United kingdom | 1000464GB01 | Green | - | 2022-07 | |
| United Arab Emirates | 1000301AE01 | Green | - | 2022-07 | |
| United kingdom | 380245GB01 | Green | - | 2022-07 | |
| United kingdom | 380245GB02 | Green | - | 2022-07 | |
| Mexico | 1000267MX01 | Green | - | 2022-07 | |
| Mexico | 1000267MX02 | Green | - | 2022-07 |
What I was trying with your formula is to match the slipped CUIDs using CUID and Month from the Baseline table vs CUID and month from the SLippage Table.
But everything is showing "yes" .
Tried different formulas to add the slipped CUIDs in the table but not showing the good numbers.
If I don't mix the tables....i get the correct "slippage" numbers (Blue square)...but when combined with the other table, numbers are different
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 45 | |
| 35 | |
| 30 | |
| 15 | |
| 15 |
| User | Count |
|---|---|
| 58 | |
| 56 | |
| 38 | |
| 21 | |
| 21 |