I would like to combine some rows in my PowerBI Query that have all the same members (e.g. 2022 / 2022/Q1 / 2022/1 / xx but a different number for each line. The different value for each line is a result of excluding some columns that originally have been in the Query. How can I avoid having these many lines?
Edit: The Delivery Plant Column has the same value for each row (e.g. 8720), I just had to blur it.
Query
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I'm using the below array formula to count the unique occurrences of text in column C using the agent name in column G as the reference. This is giving me multiple issues.
=SUM( --(FREQUENCY(IF(G3:G100000 = J5,MATCH(C3:C100000,C3:C100000,0)),ROW(C3:C100000) - ROW(C3) + 1) > 0))
Depending on the data set I'm using multiple agents will return a #N/A result and I can't figure out why.
Each dataset I'm using is 20k to 30k lines, so the formulas take a long time to process.
Any ideas how I could do this faster or better? Also any ideas why some agents get bad returns?
I am assuming that you are looking for the number of unique combinations of columns C and G.
Create a pivot table and check the box to add this data to the data model.
Drag both column headers to the Rows section, also drag one (of those same two) into the the values section.
click on the the field in the values section > value field settings > summarize values by > choose Distinct Count. This removes all duplicates.
Click the Row Labels filter and uncheck the blanks.
You can drop in new data then right-click on the pivot and refresh to see the new results. See the image.
I have some summary data, by year, that I am displaying in a tablix, in a pivot table fashion. The first column is the year, each row is a single year, and each column contains counts and dollar amounts from a query.
By default all of the value columns are formatted the same way. However, I need the first 4 columns formatted as a whole number (total counts) and the last 2 columns formatted as currency or 2 decimal places with commas. As shown here, my counts have .00 that I don't want shown.
Here is something that will get you going in the right direction:
=IIf(Fields!Type.Value = "Claims Filed" OR Fields!Type.Value = "Claims Approved", FormatNumber(Fields!Value.Value, 0), FormatCurrency(Fields!Value.Value, 2))
You will have to fill in for the other options, or switch these around to use the money values in the first part of the IIf since it is the shorter list. But, this should give you a good idea of how this can be done.
It is just a simple matter of conditional formatting, SSRS style.
I have a SSRS report I'm working on. What I would like to do is get the value of one field from its own dataset and subtract the value of another field from a different dataset. I can do this; however, the values are grouped so rather than giving me an individual value it gives me: (sum of all completed) - (sum of all completed the previous year).
Here is my expression I am using for the column "Compared to last year"
=SUM(Fields!Completed.Value, "MTDSales") - SUM(Fields!Completed.Value, "MTDminus1")
"MTDSales" and "MTDMinus1" are 2 seperate datasets. MTDSales Dataset is the current months sales outcomes grouped by company MTDMinus1 dataset is last years figure for this current month as i am comparing the 2 months separately.
I had to do this in a report where I was pulling current data from one database and older data from a data warehouse and combining. You will need to do a few things:
1. Establish a match field
This can be as simple as a single column. If you need to match on multiple fields you will need to add a calculated field to each dataset that you can match on. Assuming you need to match on company and financial year and each dataset returns one year of data, this might look something like match_id (assuming numeric values - otherwise you might need to use | or something as a separator):
`="A" & Fields!fin_year.Value & "B" & Fields!cust_id.Value`
2. Retrieve the data to the source field.
In your tablix add a column as you have to hold the looked up value:
=Lookup(Fields!matchId.Value, Fields!matchId.Value, Fields!Completed.Value, "MTDminus1")
3. Use the data
Now you can aggregate the data or do whatever further calculations you wish as if the field was part of your original dataset.
I have a SSRS report which calls a stored procedure to return a two columns dataset - one column is a Date and the other is a calculated column I created to show the month in the format MMM-YYYY.
Using this dataset I have created an aggregated bar chart report which shows the number of records per month for each month value which has at least one record in the dataset, however I would like to be able to include on the chart any months within the range of the dataset even if they do not contain any records.
So for example, where at the moment I see the following data points on my chart:
Month Count
----- -----
Oct-2015 2
Nov-2015 5
Jan-2016 3
Feb-2016 6
Dec-2015 is missing because my Dataset didn't return any records for it, so I would like to be able to plot a zero Count value on the chart for this month.
Now I know how I would normally do this in SQL, with some kind of calendar table LEFT JOINed in so that I can return the months with zero counts, but can I achieve the same in SSRS with a stored procedure as the target of the main dataset?
If your grouping is on a date/time (or a number), you can make the axis type for it Scalar.
Create your chart, with Count as the value and Month as the Category Group
Right-click the grouped axis (horizontal in my example below) and go to the Axis Properties
Change the Axis type to Scalar, and change the Interval type to Months
Still in the axis properties, change the Number Category to Date, and the Type to Jan 2000 (or use a custom format)
My first instinct was to aggregate by an actual date, converted to the first of the month, instead of your MMM-yyyy string. However, it appears that SSRS (2008 R2 in my case) recognises text in the format MMM-yyyy as a valid date, so your existing procedure shouldn't need changing.
I have this data and I need to generate a query that will give the output below
You can do this kind of groupings of rows with 2 separate row_number()s. Have 1 for all the data, ordered by date and second one ordered by code and date. To get the groups separated from the data, use the difference between these 2 row_number()s. When it changes, then it's a new block of data. You can then use that number in group by and take the minimum / maximum dates for each of them.
For the final layout you can use pivot or sum + case, most likely you want to have a new row_number for getting the rows aligned properly. Depending if you can have data missing / not matching you'll need probably additional checks.