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);
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 a working on a database that is going to have a product with multiple expiration date, multiple cost prices and therefore there will multiple stock entries for the same product, I have made an initial database design for this and I wanted to ask you guys if this is a good practice or not. If not please advise me on how to do it the right way.
This is what I have thought about so far.
Creating 3 tables (1. Product_info - 2.Product_Stock - 3.units)
and below is the detailed structure:
Units Table
--------------------------
id Name
|------|
1 |Piece |
2 |Pack |
3 |Kilos |
Here I will list all the units that I will use as the base product unit.
Product Information Table
-----------------------------------------------------------------------------------------------------------------------
id Name AvgCostPrice AvgPrice AvgPackCostPrice AvgPackPrice totalQuantity BaseUnitID multiplier PackBarcode Barcode
|------|------------|--------|----------------|------------|-------------|----------|----------|------------|--------|
1 |Soda | | | | | 108 | 1 | 12 | 111111 | 111222 |
2 |Water | | | | | 50 | 1 | 6 | 222222 | 222111 |
in the above table the average cost price and selling price for the packs and piece will be calculated from the different stocks I have for the said product.
The multiplier column will be for how much pieces does a product pack hold.
The Total Quantity will hold the sum of different stock quantities I have in the (Product Stock Table) ,Also it will only sum the quantity for base unit of the product.
for example: if the base unit of soda is pack, then it will sum the (PackQTY) Column in (Product Stock Table). and if else it will sum (Quantity) in that table.
Product Stock Table
---------------------------------------------------------------------------------------------------------------------------
id ProdID UnitID CustomBarcode Quantity PackQTY CostPrice Price PackCostPrice PackPrice expDate Enabled
|------|-------|--------------|-------------|-------|----------|-------|--------------|---------|--------------|---------
1 |1 | 1 | | 84 | 7 | 2.0 | 2.4 | 24.0 | 29 | 20/may/2019 | 1
2 |1 | 1 | | 24 | 2 | 1.5 | 1.9 | 18.0 | 23 | 10/aug/2019 | 1
2 |2 | 3 | | 50 | 0 | 3.0 | 5.0 | 0.0 | 0 | 10/Feb/2019 | 1
1.The enabled column will work as a (Boolean) to determine whether to use this stock while selling.
for example: if I wanted to sell a soda Can and I have two Stocks for it. if stock number one is 0 then enable column will be false and therefore it will only subtract the quantity sold from stock number two and use its price and cost price in the (SalesDetails Table)
Custom Barcode Column will be used to separate stocks when having a discount on almost expired stock.
And I also thought of separating the different units for each product stock in (Stock Table)
So, when I want to sell 24 pieces of soda and 3 packs of soda it will choose the oldest stock depending on its (Enabled Column Value = True)and subtract that quantity from it and if it reaches zero then (Enabled column) Value will change to false.
after that it will go again and do the same but this time it will change the value of PackQtY from 7 to 4 and the Quantity Column Value will be calculated through this [ Product_Stock.Quantity= Product_Stock.Quantity - (QtySold * Prodcut_info.Multiplier Column Value) ] which will be 84-(3*12)= 48
And the sales details structure output will be like this:
Sale Details Table
----------------------------------------------------------
id ProdID UnitID Quantity CostPrice Price total CostTotal
|------|-------|-----------|-------------|-------|------|---------|
1 |1 | 1 | 24 | 2.0 | 2.4 | 57.6 | 48.0 |
2 |1 | 2 | 3 | 18.0 | 23.0 | 69.0 | 54.0 |
Product Stock Table (After Selling 24 pieces of Soda and 3 packs of Soda)
---------------------------------------------------------------------------------------------------------------------------
id ProdID UnitID CustomBarcode Quantity PackQTY CostPrice Price PackCostPrice PackPrice expDate Enabled
|------|-------|--------------|-------------|-------|----------|-------|--------------|---------|--------------|---------
1 |1 | 1 | | 48 | 4 | 2.0 | 2.4 | 24.0 | 29 | 20/may/2019 | 1
2 |1 | 1 | | 0 | 0 | 1.5 | 1.9 | 18.0 | 23 | 10/aug/2019 | 0
Sorry if I didn't explain it very well.
Thank you very much in advance.
Firstly, you need to be careful about how you use nouns.
For example: "Price" does not mean the same as "Cost" and "CostPrice" sounds like an oxymoron. I suggest that you restrict your yourself to using either Cost or Price.
Van Ng asks if you have done an Entity Relationship diagram. Well, at the stage that you seem to be at, it is probably unwise to start with an ER diagram because an ER diagram is helpful as a summary of a model that you have already defined - and you are not yet at that stage.
Averages: If you design your database schema correctly then you can calculate data such as averages. You don't need averages as base tables.
I recommend that you consider using the fact-based modeling method called "object-role modeling"(ORM) because you can start with "the facts" before thinking about drawing ER diagrams.
Example:
I used the NORMA ORM tool to create the following example:
First, I read your text, extracted facts and then used the facts to design an object-role model.
Then I used the NORMA tool to generate a "logical view" of the object-role model. (happens in milliseconds)
I did not add everything that you mention but I hope that this will be enough to help you to make progress.
The example contains two artefacts:
1: The logical model that was generated by the NORMA tool.
2: The facts from which the logical model was generated.
[
I am looking for suggestions to design a database schema based on following requirements.
Product can have variant
each variant can have different price
Price can be different for specific day of a week
Price can be different for a specific time of the day
all prices will have validity for specific dates only
Prices can be defined for peak, high or medium seasons
Suppliers offering any product can define their own prices and above rules still applies
what could be best possible schema where data is easy to retrieve without impacting performance?
Thanks in advance for your suggestions.
Regards
Harmeet
SO isn't really a forum for suggestions as much as answers. No answer anyone gives can be definitively correct. With that said, I would keep the tables as granular as possible to allow for easy changes across products.
In regards to #5, I would place start and end dates on products. If the price is no-longer valid, the product should no longer be available.
This includes relations for different seasonal prices, however you would either need to hardcode the seasons or create another table to define those.
For prices, if this is more than 1 region you may want a regions table in which case a currency column would be appropriate.
This is operational data, not temporal data. If you want it available for historical analysis of pricing you would need to create temporal tables as well.
Product Table
+-------------+-----------+------------------+----------------+
| ProductName | ProductID | ProductStartDate | ProductEndDate |
+-------------+-----------+------------------+----------------+
| Product1 | 1 | 01/01/2017 | 01/01/2018 |
| Product2 | 2 | 01/01/2017 | 01/01/2018 |
+-------------+-----------+------------------+----------------+
Variant Table
+-----------+-----------+-------------+---------------+-------------+-------------+
| ProductID | VariantID | VariantName | NormalPriceID | HighPriceID | PeakPriceID |
+-----------+-----------+-------------+---------------+-------------+-------------+
| 1 | 1 | Blue | 1 | 3 | 5 |
| 1 | 2 | Black | 2 | 4 | 5 |
+-----------+-----------+-------------+---------------+-------------+-------------+
Price Table
+---------+-----+-----+-----+-----+-----+-----+-----+
| PriceID | Mon | Tue | Wed | Thu | Fri | Sat | Sun |
+---------+-----+-----+-----+-----+-----+-----+-----+
| 1 | 30 | 30 | 30 | 30 | 35 | 35 | 35 |
| 2 | 35 | 35 | 35 | 35 | 40 | 40 | 40 |
| 3 | 33 | 33 | 33 | 33 | 39 | 39 | 39 |
| 4 | 38 | 38 | 38 | 38 | 44 | 44 | 44 |
| 5 | 40 | 40 | 40 | 40 | 50 | 50 | 50 |
+---------+-----+-----+-----+-----+-----+-----+-----+
I have a table where I am using SSRS matrix to display the information in row groups and column groups. For simplicity, I use the following table as an example.
+-----------+------+-------+-------+
| Date | Name | Test | Score |
+-----------+------+-------+-------+
| 9/11/2016 | John | Test1 | 91 |
| 9/11/2016 | John | Test2 | 78 |
| 9/11/2016 | John | Test3 | 84 |
| 9/11/2016 | John | Test4 | 62 |
| 9/11/2016 | Adam | Test1 | 88 |
| 9/11/2016 | Adam | Test2 | 74 |
| 9/11/2016 | Adam | Test3 | 92 |
+-----------+------+-------+-------+
I created a SSRS report of matrix using Name as column group and Test as row group and I get the following using the sample data above.
+-------+------+------+
| | John | Adam |
+-------+------+------+
| Test1 | 91 | 88 |
| Test2 | 78 | 74 |
| Test3 | 84 | 92 |
| Test4 | 62 | 88 |
+-------+------+------+
Because Adam did not take Test 4, I wanted to show it as a blank or - to indicate no such value. However, what I end up having is that the row for Test4 for Adam is a repeat of the value of Test1 for Adam, which is 88.
If Adam missed multiple tests, then the same value will be repeated for Adam. I've searched online and inside SSRS but I could not find an option to specify show null if a column group doesn't have any value for some row group.
I created this report by using the Wizard where when asked to choose between Table and Matrix, I chose Matrix. After that, I selected Name to be the column group and Test to be the row group and the Score to be the Detail group.
Your help is greatly appreciated!
I tried to create the matrix again after Hannover Fist mentioned it worked with the report wizard. It turned out that the problem was with the Expression for the Value in the Text Box Properties of the cell.
By default the Expression is something like [SUM(Score)] but after I created my report, I thought I should not need the summation because the value is distinct, which resulted in having [Score] instead.
Once I added the SUM back to my report, it started working as expected.
I've had this issue before a couple of years ago.
I think I searched for a solution but never found one. IIRC, I just created a new matrix which worked correctly. The wizard might have set some property that
Usually these kind of undiscoverable issues are in charts not tables.
I made a matrix with the report wizard using your data and it worked correctly.
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