I need to compare two columns from two queries and put the result into a 3rd column.
Column 1 is the master sheet (Query 1) where the main ID number list is.
Column 2 on another Query (Query 2) are the ID numbers I want to compare to column 1 and return a "Yes" result in column 3 if the same ID is present on Column 2 (Query 2) without removing the rows where there are no results.
I can manage to get the report to filter column one to match the list on column 2 using the following simple formula.
=if[dimension1]=[dimesnion2]Then "Yes" else " "
I need all the data to remain unfiltered on Query 1 and just a Yes or a blank in column 3.
Thanks
Related
ROW column 1 column 2
1 A 1
2 A 1
3 A 3
4 A 1
5 A 2
6 B 1
7 B 3
8 B 1
Pic of table
Lets say I have this table as shown above. I want to be able to average SELECTED values from column 2. Am I able to use any function in SSRS that allows me to select which value to use to average? The end goal is to allow the user to interactively choose which value to average.
For example if I would want to use ("Row 1 + Row 2 + Row 4")/3, or (Row 6 + Row 8)/2, how can I go about letting the end user to choose those values to average?
Is there something that I need to do in SQL first to make it easier in SSRS?
The idea is by using report parameter and dataset filter
Add parameter in SSRS to allow user input of multiple values, set the available values for row-1, row-2, and so on
here for your reference how to add the parameter in SSRS
https://learn.microsoft.com/en-us/sql/reporting-services/report-design/add-change-or-delete-a-report-parameter-report-builder-and-ssrs?view=sql-server-ver15#:~:text=To%20add%20or%20edit%20a,or%20accept%20the%20default%20name.
after you add the parameter, let's say you already have a dataset which is SQL query such as:
SELECT *
FROM the_table
Right click on your dataset, on properties, in the filter tab, add a filter for the column ROW IN parameter that you have made earlier
after you add filter on your dataset, on your report, simply use that dataset and put expression AVG(Column 2)
Please assist if possible, I have used Stuff to combine rows into a single row based on other columns. However I want to turn each of the unique items into it's own column with a number showing if it exists, e.g. 1 or 0 and then doing the same for all subsequent rows?
I have been able to create the columns but I can't get them to update per whats in the one column.
But I want it to be dynamic so matter how many different names appear in categories it creates a new column and adds 1 or 0 if it appears or not
How about something like this for SQL Server?
strSQL = "SELECT Category, CASE WHEN Category IS NOT NULL THEN 1 ELSE 0 END AS IsCategoryExist FROM MyTable"
Sample data (the 2nd column shows as 1 if the first column is non-blank):
Cars, 1
[Blank], 0
Airplanes, 1
Radios, 1
I have a database where all of the input from the user (through a userform) gets stored. In the database, each column is a different category for the type of data (ex. date, shift, quantity, etc) and the data from the userform input gets put into its corresponding category. For some of the data, all the data is the same except for the quantity. I was wondering how I could combine these rows into one and add the quantities to each other for the whole database (ex. combining the first and third data entries). I have tried playing around with a couple different loops but can't seem to figure anything out.
Period Date Line Shift Type Quantity
4 x 2 4/3/18 A 3 14 18
4 x 2 4/3/18 A 3 13 12
4 x 2 4/3/18 A 3 14 15
Thank you!
If you're looking to modify the underlying database, you might be able to query the data into the format you want by including all the other columns in a GROUP BY statement, save the result to another table, then replace the original table with the properly formatted one.
If you have the data in Excel and you just want to view it with the duplicate rows summed, a Pivot Table would be a good choice. You can select all the other columns as rows for the Pivot Table and sum of Quantity as the values.
I have a powerpivot table that contains 2 columns:
Column 1 contains strings.
Column 2 contains comma delimited strings.
I would like to be able to display all the rows from column 1 when rows from column 2 contains the selection from a filter or slicer. For example:
String Values
ABCD A,A,B
EFGH A,C
if A is selected I would display both rows, if B is selected I would display only row 1...etc.
I know I can split the records - but this is not practical for me - the above is only the top of the iceberg. VBA is out of the question since this will published in SharePoint. Anybody has an idea on how I could do that ? Thanks.
I found the solution in a blog from Javier Guillem:
http://javierguillen.wordpress.com/2012/02/10/simulating-an-approximate-match-vlookup-in-powerpivot/
If in my example the name of the table is "facts", I create a second unlinked table called dimRef that I populate with all possible values that I am interested to match: A,B,C,D...etc.
Then I define the measure M as:
M:=If ( Hasonevalue(facts[Values] ),
Calculate (
LASTNONBLANK (dimRef[String], 1 ),
Filter ( dimRef, SEARCH(dimRef[String],Values(facts[String]),1,0) > 0 )
)
)
I can then use the string column of the facts table and the measure in a pivot table and use dimRef as a selector. If filters the row as per the selection.
One small detail: the measure is not available in PowerView...Anybody knows why ?
How to add two cloumns with the same name from different tables. It needs to be dymanic, because i have columns based on months. Below is the sample data. which i would use to calculate the moving 12 month average for attrition.
Transferout Oct'11 Nov'11
3310ED
3310FL
3310HD 1
3310PZ
3310RC
3310SH
3310SM 1
Terinations Oct'11 Nov'11
3310ED
3310FL
3310HD 1
3310PZ 1
3310RC
So according to the column name and dept id in the row filed the above two tables needs to be added and later divided by the head count of the respective dept ids using the same column headings in a diff table
Looks like you can use the LOOKUPVALUE function or the RELATED function (if the tables are related).