I have data like this
EmployeeID Value
1 7
2 6
3 5
4 3
I would like to create a DAX calculated column (or do I need a measure?) that gives me for each row, Value - AVG() of selected rows.
So if the AVG() of the above 4 rows is 5.25, I would get results like this
EmployeeID Value Diff
1 7 1.75
2 6 0.75
3 5 -0.25
4 3 -1.75
Still learning DAX, I cannot figure out how to implement this?
Thanks
I figured this out with the help of some folks on MSDN forums.
This will only work as a measure because measures are selection aware while calculated columns are not.
The Average stored in a variable is critical. ALLSELECTED() gives you the current selection in a pivot table.
AVERAGEX does the row value - avg of selection.
Diff:=
Var ptAVG = CALCULATE(AVERAGE[Value],ALLSELECTED())
RETURN AVERAGEX(Employee, Value - ptAVG)
You can certainly do this with a calculated column. It's simply
Diff = TableName[Value] - AVERAGE(TableName[Value])
Note that this averages over all employees. If you want to average over only specific groups, then more work needs to be done.
Related
I have a dataframe with 4 variables DIVISION, QTR, MODEL_SCORE, MONTH with the sum of variable X aggregated by those 4.
I would like to effective partition the data by DIVISION,QTR, and MODEL SCORE and keep a running total order the MONTH FIELD order smallest to largest. The idea being it would reset if it got to a new permutation of the other 3 columns
df = df.groupby(['DIVISION','MODEL','QTR','MONTHS'])['X'].sum()
I'm trying
df['cumsum'] = df.groupby(level=3)['X'].cumsum()
having tried all numbers I can think in the level argument. It seems be able to work any way other than what I want.
EDIT: I know the below isn't formatted ideally, but basically as long as the only variable changing was MONTH the cumulative sum would continue but any other variable would cause it to reset.
DIVSION QTR MODEL MONTHS X CUMSUM
A 1 1 1 10 10
A 1 1 2 20 30
A 1 2 1 5 5
I'm sorry for all the trouble I believe the answer was way simpler than I was making it to be.
After
df = df.groupby(['DIVISION','MODEL','QTR','MONTHS'])['X'].sum()
I was supposed to reset the index I did not want a multi-index and this appears to have worked.
df = df.reset_index()
df['cumsum'] = df.groupby(['DIVISION','MODEL','QTR'])['X'].cumsum()
I have this CSV file
http://www.sharecsv.com/s/2503dd7fb735a773b8edfc968c6ae906/whatt2.csv
I want to create three columns, 'MT_Value','M_Value', and 'T_Data', one who has the mean of the data grouped by year and month, which I accomplished by doing this.
data.groupby(['Year','Month']).mean()
But for M_value I need to do the mean of only the values different from zero, and for T_Data I need the count of the values that are zero divided by the total of values, I guess that for the last one I need to divide the amount of values that are zero by the amount of total data grouped, but honestly I am a bit lost. I looked on google and they say something about transform but I didn't understood very well
Thank you.
You could do something like this:
(data.assign(M_Value=data.Valor.where(data.Valor!=0),
T_Data=data.Valor.eq(0))
.groupby(['Year','Month'])
[['Valor','M_Value','T_Data']]
.mean()
)
Explanation: assign will create new columns with respective names. Now
data.Valor.where(data.Valor!=0) will replace 0 values with nan, which will be ignored when we call mean().
data.Valor.eq(0) will replace 0 with 1 and other values with 0. So when you do mean(), you compute count(Valor==0)/total_count().
Output:
Valor M_Value T_Data
Year Month
1970 1 2.306452 6.500000 0.645161
2 1.507143 4.688889 0.678571
3 2.064516 7.111111 0.709677
4 11.816667 13.634615 0.133333
5 7.974194 11.236364 0.290323
... ... ... ...
1997 10 3.745161 7.740000 0.516129
11 11.626667 21.800000 0.466667
12 0.564516 4.375000 0.870968
1998 1 2.000000 15.500000 0.870968
2 1.545455 5.666667 0.727273
[331 rows x 3 columns]
I have the following Expression in a field in SSRS:
=iif(Fields!Score.Value > Previous(Fields!Score.Value),"Greater","Less Than")
I have the following Scores in my scenario across 4 rows:
3
3
4
5
It results in:
3 - Greater
3 - Less Than
4 - Greater
5 - Greater
The issue is with the first row always being Greater. It should be blank because there isn't a previous row to compare against. I would expect the results to be as follows:
3 -
3 - Same
4 - Greater
5 - Greater
How could I change the above formula to produce the above result?
The above is an example of only one row group. There are then further row groups with different Scores, so the different results of Same/Greater/Less Than need to work across the different row groups.
Try following:
=IIF(RowNumber(NOTHING)=1,"",IIF(Fields!Score.Value = Previous(Fields!Score.Value),"Same",IIF(Fields!Score.Value > Previous(Fields!Score.Value),"Greater","Less Than")))
modified. try now.
So I have a column with this data
1
1
1
2
3
4
5
5
5
how can I do a count if where the value at any given location in the above table is equal to a cell i select? i.e. doing Count([NUMBER]) Where([NUMBER] = Coordinates(0,0)) would return 3, because there are 3 rows where the value is one in the 0 position.
it's basically like in excel where you can do COUNTIF(A:A, 1) and it would give you the total number of rows where the value in A:A is 1. is this possible to do in business objects web intelligence?
Functions in WebI operate on rows, so you have to think about it a little differently.
If your intent is to create a cell outside of the report block and display the count of specific values, you can use Count() with Where():
=Count([NUMBER];All) Where ([NUMBER] = "1")
In a freestanding cell, the above will produce a value of "3" for your sample data.
If you want to put the result in the same block and have it count up the occurrences of values on that row, for example:
NUMBER NUMBER Total
1 3
1 3
1 3
2 1
3 1
4 1
5 3
5 3
5 3
it gets a little more complicated. You have to have at least one other dimension in the query to reference. It can be anything, but you have to be counting something in conjunction with the NUMBER dimension. So, the following would work, assuming there's another dimension in the query named [Duh]:
=Count([NUMBER];All) ForAll([Duh])
Below is some data:
Test Day1 Day2 Score
A 1 2 100
B 1 3 62
C 3 4 90
D 2 4 20
E 4 5 80
I am trying to take the values from column 'day' and 'day2' and use them to select the row number for the column score. For example for Test A I would like to find the sum of 100 and 62 because that is the values of the first and second rows of score. Test B I would like to find the sum of 100, 62 and 90.
Is their anyway to do this in the Compute Variable window? Found in the menu Transform-Compute Variable?
I tried the following:
Score(MEAN(VALUE(Day1), VALUE(DAY2)))
This is not the proper way to call the cell location of Score and I received an error.
Can anyone help?
Thank you!
You really have two different datasets here. One is a dataset of scores numbered 1 through 5.
The other is a dataset that includes indexes into the score dataset. So the steps would be something like this.
First take the scores dataset and transpose it so that it has one row and 5 columns (Data>Transpose)
Then match that dataset to each case in the main dataset (Data>Merge Files>Add Variables).
Next you have to resort to using syntax directly.
You would declare a vector for the scores (VECTOR)
Finally, you use COMPUTE to index into the scores.
For your real problem, I suppose that you might have batches of scores and maybe there are some gaps. The Restructure Data Wizard can help you generalize this - convert cases into variables, but let's not go there yet.
HTH,
Jon Peck