When I use
PY Apps = CALCULATE([CY Apps],DATEADD('Transaction Date'[Date],-365,DAY))
I get the Total $4,704 (which is what I was expecting)
When I use
PY Apps = CALCULATE([CY Apps],DATEADD('Transaction Date'[Date],-1,YEAR))
I get $13,926
why such a massive difference? how can it work correctly when i'm lowering it by days and completely fly off the handle when its Years
My Date Table is just a Calendar
Transaction Date = CALENDAR(MIN(Query1[received_date]),max(Query1[received_date]))
my model is just 2 tables, one table that has a list of dates with their respective sales, and then the other table is my date table
Related
Please help. I don't understand why I have 2 similar data models and one works but the other does not.
I have a fact table with a Calendar Key and data as granular by day by location. I have a calendar dimension table with a Calendar key, each individual date, and month/fiscal year definitions.
Measures are Rev = SUM(FactTable[RevColumn]) then Rev PY = CALCULATE([Rev], DATEADD(CalendarTable[Day_Date], -1, YEAR))
Model 1 in Power BI, when I apply date filters, Rev calculates the total revenue & Rev PY calculates last year's rev for same range. Even if I select all dates that are YTD (which is tedious)
Model 2 in Excel 2016 Power Query, when I apply a year filter, Rev calculates total revenue for YTD in Fiscal Year & Rev PY is blank.
I don't understand what is different and why it would even fail in the first place. Calculate is supposed to override the filter context of the current filters right?
Also: the only "Date" type columns are located in the calendar table so it's not possible for me to select the wrong table.
I ultimately had to ask a professor on Udemy.com. The solution is to mark you calendar dimension table as a "Date Table." Since I'm combining the 2 tables on a whole number field, the time intelligence functions only work when filtering with date columns.
By marking the Calendar table as the Date table, the time intelligence functions know to use any attributes from that table to filter down the date ranges and get and display the appropriate answer.
In Power Pivot view, click the "Design" ribbon, then click the "Date Table" button and the "Set Default" button after that.
This resolved all issues I had.
"In a crosstab, latest month where Actuals has any data, show Actuals data for that and all previous months. Future months, show Forecast data."
.
I have two tables- Forecasts and Actuals- and the common columns between them are Team, Month, Value.
I'd like to show the data in a crosstab with Month as columns and Team as rows. I'm trying to write an expression to do this in the crosstab: The most recent month where Actuals has any data, I'd like to show Actuals data for that and all previous months, for all teams. For following months, I'd like to show Forecast data.
Any suggestions about how to go about this would be appreciated. I'm still piecing together my knowledge :)
Create a third table from a transformations:
Create Third table from - Pivot date on Team & Month (to ensure every possible combination) from first table
Add Rows from transforming the second table (pivot on Team & Month)
Join the two original tables to your newly created table (has every possible combination of Team & Month) so that both your data sets are now in one table.
Now use the third table in your cross table.
If you try using column matching instead of the above method only dates from the main table will show as the dates are matched and ones missing from the other will not display.
Hi Guys I am trying to create a table in Qlikview that shows me sales starting from current week (Week 11) and works back Week 10 Week 9 etc to week 52 previous year. I can do this by creating individual expressions but this would be extremely time consuming. I have been trying to write an expression but having no joy. Is there a way i can create these columns within the table using calculated dimension where i can write a formula, something like:
= sum({=$(=Week(today()-52))<=$(=Week(today()))"}>} QTY)
That would create each week and show the qty of sales.
I would use a numeric representation in the script:
create a field in your calendar: year(date)+Num(Week(MyDate), '00') as yearweek
then you can create a variable vStartWeek: =(max(Year)-1)&52
then your expression will be = sum({<yearweek={">=$(vStartWeek)"}>} QTY)
no need for <=Week(today()) unless you already sold something in the future ;D
Crosstab report works 99%.
About 20 rows, all but one are ok.
5 columns - Company Division.
The rows are things like cost, revenue, revenue 2, etc.
All the rows that work have three attributes I'm using to select them:
Fiscal Year
Period
Solution.
The problem is there is table that lists an YTD rate for each period. This table is not Division Specific; it's company wide.
All the tables are linked to the accounting period table that has fiscal year and period. So the overall query limits data to fiscal year (?pFiscalYear?) and period <= ?pPeriod?, based on prompt page results.
The source table has this:
FY_CD PD_NO ACT_CURR_RT ACT_YTD_RT
2018 1 0.36121715 0.36121715
2018 2 0.32471476 0.34255512
2018 3 0.25240906 0.31210183
2018 4 0.33154745 0.31925874
Note the YTD rate is not an average of any of the other numbers.
When I select the ACT_YTD_RT, as a row, I want the ACT_YTD_RT that matches the selected period.
What I get is the average if I set the aggregation to average or the lowest if I set it to other aggregations. So sometimes, it looks right (if I run for period 1,2,3, as the rate kept falling), and sometimes it's wrong (period 4
returns .3121 instead of .3192).
I've tried a number of different methods and can generate garbage data (totals, min, max, average) and crossjoins but can't figure out how to get the value I'm looking for.
I want YTD_RT where fiscal year =?pFiscal? and period = ?pPeriod?.
I tried a straight if then clause:
if (sourcetable.fiscalYear = ?pFiscalYear?) and (sourcetable.Period = ?pPeriod?) then (ACT_YTD_RT)
but I get an error like this:
'ACT_YTD_RT' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause. (SQLSTATE=42000, SQLERRORCODE=8120)
If I create another query that generates the right response and try to include it, I get a crossjoin error that the query I'm referencing is trying to crossjoin several other items in the crosstab query.
A union doesn't work (different number of columns).
Not sure how a join would work since the division doesn't exist in the rate table.
I maybe could create a view in the database that did a crossjoin of the division table and the rate table, add that to the framework and then I wouldn't have a crossjoin since the solution would be in the rate "table" (really view), but that seems wrong somehow.
If I could just write a freaking parameterized query direct to the database I'd be done. But in Cognos 11 crosstabs I can't find a place for a SQL query object. And that shouldn't be necessary.
I've spent hours and hours chasing this in circles.
Anybody have any ideas?
Thanks
Paul
So the earlier problem was that this:
if (sourcetable.fiscalYear = ?pFiscalYear?) and (sourcetable.Period = ?pPeriod?) then (ACT_YTD_RT)
Generated an error like this:
'ACT_YTD_RT' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause. (SQLSTATE=42000, SQLERRORCODE=8120)
To fix the above, I had to add a cross join of the division table and the rate table as a view in the database. Then add that to the framework. Then build the data item this way:
total (
if (sourcetable.fiscalYear = ?pFiscalYear?) and (sourcetable.Period = ?pPeriod?) then (ACT_YTD_RT)
)
And now the "total" provides the missing group by. And the crossjoin in the database provides the division information so the crosstab is happy.
I still think there should have been an easier way to do this, but I have a functioning hammer at the moment.
I have to create a matrix in SSRS to detail the number uses leaving an organisation.
The columns will all represent spaces of time spanning 1 week and the rows will all represent departements in the organisation. The detail portion will be a count of people who have left that area in that week.
I have a leaving date field in the DB but nothing that flags the specific intevals I have been told to use. That means that as the matrix is, it counts each of users that have left a specific department however the date range columns is 1 day, not 1 week. Is there a way to force the column headers to respect the week intervals I want given that they are currently coming from the dataset and are not hard coded?
Firstly try to manage your data in sql itself by using Group By with date and making each group as one week period. That way you can manage to get all data in your required format
I don't know what is your columns so I am just showing a way to get the week groups from table and get the count of the people
SELECT DATEPART(wk, datevaluecolumn) weekno
, SUM(peopleleavingcolumn) totalvalue
FROM yourTable
GROUP BY DATEPART(wk, datevalue)