I have a "Master data" list like this :
Description
Snapchot - Date
Value
XXX
2023-01-05
150
XXX
2023-01-05
100
XXX
2023-01-06
350
XXX
2023-01-07
200
My goal is to create a Pivot table that calculates difference with day before :
| 2023-01-05 | 2023-01-06 | 2023-01-07 |
| Value | Diff. | Value | Diff. | Value | Diff. |
------------------------------------------------------
XXX | 250 | 0 | 350 | 100 | 200 | -150 |
My problem is that I don't know how to make my calculation between two time periods :
(Value of [Snapchot - Date]) - (Value of ([Snapchot - Date] - 1 day)
What I tried is to make a second query where I use this expression :
add_days_ ([Snapchot - Date] ; -1)
This works but there's a mismatch in my values. I don't have the correct values for every dates as I have in my master list.
How can I create a query that gives me the value of the day before ? So that I can do :
[ValueCurrentDay] - [ValueDayBefore]
Based on the requirement you maybe looking for a running-difference. Have a look at the summary folder for the syntax of that summary function to see if it applies to your requirement.
Related
I am working in Cognos version 11.2.4 and working to attain row totals on a Crosstab report. The table I'm working with has several Locations listed as rows, Hour as columns (24 'Hours'), and count and average time measures. Using the default options to Summarize the columnar data is not an issue - I am able to get a Total for the count column and an overall average for each Average Time column. When attempting to retrieve row summarizations however, I receive an error message:
Error Message
I don't understand the verbiage stating the object selected represents a single value as it should be performing the aggregation on each column for the given row.
My expected results are outlined below:
**Hour 1** **Hour 2**
| Count | Average Time | Count | Average Time | Total | Average |
| -------- | ------------ | -------- | ------------ | ------- | --------- |
Location A| 20 | .5 | 15 | .75 | 35 | .625 |
Location B| 15 | .25 | 25 | .5 | 40 | .375 |
My question is: are the default summary options within Cognos Crosstabs not suitable for row level aggregations?
I am new to Solr and encountered a weird behavior as I update a field and perform search.
Here's the scenario :
I have a 300records in my core, I have a search query wherein I filtered the results with this
fq=IsSoldHidden:false AND IsDeleted:false AND StoreId:60
and I sort it by DateInStock asc
Everything is perfectly returning my expected results,
Here is the sample top 3 results of my query :
--------------------------------------------------------------------------------------
id | Price | IsSoldHidden | IsDeleted | StoreId | StockNo | DateInStock
--------------------------------------------------------------------------------------
27236 | 15000.0 | false | false | 60 | A00059 | 2021-06-07T00:00:00Z
--------------------------------------------------------------------------------------
37580 | 0.0 | false | false | 60 | M9202 | 2021-06-08T00:00:00Z
--------------------------------------------------------------------------------------
37581 | 12000 | false | false | 60 | M9173 | 2021-06-08T00:00:00Z
but when I tried to update(AtomicUpdate to be specific) the Price field in 2nd row , and trigger a search again with the same filters requirements, the results changes to this :
--------------------------------------------------------------------------------------
id | Price | IsSoldHidden | IsDeleted | StoreId | StockNo | DateInStock
--------------------------------------------------------------------------------------
27236 | 15000.0 | false | false | 60 | A00059 | 2021-06-07T00:00:00Z
--------------------------------------------------------------------------------------
37581 | 0.0 | false | false | 60 | M9173 | 2021-06-08T00:00:00
--------------------------------------------------------------------------------------
37582 | 0.0 | false | false | 60 | M1236 | 2021-06-08T00:00:00Z
and the 2nd row(37580) of the 1st results was placed at the last row(document#300).
I have researched online , and Here's what I've found
Solr changes document's score when its random field value altered
but I think the situation is different to mine, since I did not add the score as a Sort.
I am not sure why does it behave like this,
Am I missing something ?
Or is there anyone can explain it ?
Thanks in advance.
Since the dates are identical, their internal sort order depends on their position in the index.
Updating the document marks the original document as deleted and adds a new document at the end of the index, so its position in the index changes.
If you want to have it stable, sort by date and id instead - that way the lower id will always be first when the dates are identical, and the sort will be stable.
I've got a table that contains sales information for several companies. Each sales transaction the company makes is stored in the table, and the week of the year (1-52) that the sale took place within is stored also. Here's a small example of the database table that I'm querying to produce the SSRS report.
|---------------------|------------------|------------------|
| Company | Week |Sales_Transaction |
|---------------------|------------------|------------------|
| Alpha | 20 | 1.00 |
|---------------------|------------------|------------------|
| Alpha | 20 | 2.00 |
|---------------------|------------------|------------------|
| Beta | 20 | 9.00 |
|---------------------|------------------|------------------|
| Alpha | 21 | 5.00 |
|---------------------|------------------|------------------|
| Coolbeans | 21 | 5.50 |
|---------------------|------------------|------------------|
| Alpha | 22 | 2.00 |
|---------------------|------------------|------------------|
| Alpha | 22 | 2.00 |
|---------------------|------------------|------------------|
| Coolbeans | 22 | 3.00 |
|---------------------|------------------|------------------|
I have a matrix with a row group which produces a line in the matrix for each company. The matrix has 52 additional columns for each week of the year. Here's a condensed version of the matrix and data I want to see.
|--------------|---------------|----------------|----------------|
| Company | # Sales Wk 20 | # Sales Wk 21 | # Sales Wk 22 |
|--------------|---------------|----------------|----------------|
| Alpha | 2 | 1 | 2 |
|--------------|---------------|----------------|----------------|
| Beta | 1 | 0 | 0 |
|--------------|---------------|----------------|----------------|
| Coolbeans | 0 | 1 | 1 |
|--------------|---------------|----------------|----------------|
To count the number of sales transactions for each week for each company, I'm using this expression like this for each column:
=Count(IIF(Fields!Sales_Week_Number.Value = "20", Fields!Sales.Value, 0))
Using the example expression above which I'm placing in the # Sales Wk 20 matrix column, the problem is that instead of counting ONLY the transactions that occurred in week 20, it counts transactions for all weeks for the company. The result is that in column # Sales Wk 20, it shows a 5 for Alpha, a 1 for Beta, and a 2 for Coolbeans.
What do I need to do to make it only count the sales transaction from the specific week?
Side Note: Regarding the 52 columns for each week of the year, I intentionally did not use a column group for this b/c I need to do some other calculations/comparisons with another matrix which doesn't play nice when column groups are used. I did, however, use a row group for the companies.
Your expression should use SUM instead of count
=SUM(IIF(Fields!Sales_Transaction.Value=0,0,1))
I think you may be going down the wrong path here. Since your using a matrix in SSRS, then the easiest way is to make SSRS handle the separation for you rather than building a WHERE.
Try just adding =CountRows() as part of your formula, and ssrs handles the grouping for you. I'll check the format of the command when I'm on-line properly not on my phone.
Use this expression in your matrix's value column -
=IIf((Fields!Sales_Transaction.Value)>0,Count(Fields!Sales_Transaction.Value),0);
I have a table in excel like the one below
Date | Type | Value
----------------------------------
21/01/2012 | Other | 1000
22/02/2012 | Existing | 1000
23/01/2012 | Existing | 1000
24/01/2012 | Other | 1000
12/02/2012 | Other | 1000
13/02/2012 | Existing | 1000
16/02/2012 | Other | 1000
19/01/2012 | Other | 1000
I want a formula that will add up all values of existing client for each month so for example it would say 1000 for January existing and 300 for January other.
I have tried everything i know how but i can't seem to make it work.
=SUMIFS(P2:P74,N2:N74,">="&N13,N2:N74,"<="&N43,O2:O74,"other")
where N13 is first and N43 is last day of the month, P is your value range and o Is column witho other /existing.
Try sumifs after extracting the month from the date column
I have a table that I'm trying to populate based on the values of two reference tables.
I have various different projects 'Type 1', 'Type 2' etc. that each run for 4 months and cost different amounts depending on when in their life cycle they are. These costings are shown in Ref Table 1.
Ref Table 1
Month | a | b | c | d
---------------------------------
Type 1 | 1 | 2 | 3 | 4
Type 2 | 10 | 20 | 30 | 40
Type 3 | 100 | 200 | 300 | 400
Ref Table 2 shows my schedule of projects for the next 3 months. With 2 new ones starting in Jan, one being a Type 1 and the other being a Type 2. In Feb, I'll have 4 projects, the first two entering their second month and two new ones start, but this time a Type 1 and a Type 3.
Ref table 2
Date | Jan | Feb | Mar
--------------------------
Type 1 | a | b | c
Type 1 | | a | b
Type 2 | a | b | c
Type 2 | | | a
Type 3 | | a | b
I'd like to create a table which calculates the total costs spent per project type each month. Example results are shown below in Results table.
Results
Date | Jan | Feb | Mar
-------------------------------
Type 1 | 1 | 3 | 5
Type 2 | 10 | 20 | 40
Type 3 | 0 | 100 | 200
I tried doing it with an array formula:
Res!b2 = {sum(if((Res!A2 = Ref2!A2:A6) * (Res!A2 = Ref1!A2:A4) * (Ref2!B2:D6 = Ref1!B1:D1), Ref!B2:E4))}
However it doesn't work and I believe that it's because of the third condition trying to compare a vector with another vector rather than a single value.
Does anyone have any idea how I can do this? Happy to use arrays, index, match, vector, lookups but NOT VBA.
Thanks
Assuming that months in results table headers are in the same order as Ref table 2 (as per your example) then try this formula in Res!B2
=SUM(SUMIF(Ref1!$B$1:$E$1,IF(Ref2!$A$2:$A$6=Res!$A2,Ref2!B$2:B$6),INDEX(Ref1!$B$2:$E$4,MATCH(Res!$A2,Ref1!$A$2:$A$4,0),0)))
confirm with CTRL+SHIFT+ENTER and copy down and across
That gives me the same results as you get in your results table
If the months might be in different orders then you can add something to check that too - I assumed that the types in results table row labels might be in a different order to Ref table 1, but if they are always in the same order too (as per your example) then the INDEX/MATCH part at the end can be simplified to a single range