I am working in a data analysis project using MS Power BI, thankfully I'm doing good work to start. However, I'm facing a little problem with DAX syntax. I come from a web development background. Anyways, my current problem is that I have rental vehicles, which can be rented from one branch and handed in at another.
I would like to compare two columns values in the same table. 'owner_branch' and 'current_branch'. Is it a good choice to create a filter with DAX? Or should I move to R Language?
If I understood your problem correct you need Calculated Column like this:
CompCol = IF ( Owner_Branch = Current_Branch, TRUE, FALSE )
as a temporary solution which I think that is not an efficient solution for a larger records in future. Anyways, my solution was creating a new column type of boolean.
Related
I need some help creating a measure to change the name of "FROM_USER" in the slicer here.
I think I need to use the function SELECTEDVALUE, but I have not managed to get it working.
So, the column has only two values, CRAWLER and FROM_USER.
Any suggestions would be helpful!
See picture
Measures can't be used as slicer values. If you want the column values to be changed and yet to be used in a slicer, you need to create a calculate column to change that.
Column = IF('Table'[Column1]="FROM_USER","desiredValue","CRAWLER")
If you are really keen on using a measure to slice, you need to build a disconnected table and follow the method described here. But the performance will take a hit depending on how complex your data model and calculations are.
I'm working on a project where we are converting a client from Tableau to PBI. One of the Tableau reports I'm converting looks like this:
Each row is a different calculation (measure). I can achieve a similar look, with regards to the column headers, in PBI by using a matrix. However, there isn't a way, that I know of, to apply a different measure for each row. The only way I can think of to do this is to create three matrix tables and stack them on top of each other. It won't look nearly as good but I can generate the same results. Does anyone have a better solution?
Put the Measure Names pill on Rows, Measure Values on Text and your date fields on Columns. That should give you when you want.
So, I'm in PowerBI Desktop. I have a table that pulls in data for various properties (website A, website B, website C) and creates a row for each property, for each day. So, for example, it'd look like this over the course of three days.
A snapshot of the data:
I need to create a single measure, showing the total number of returning users (for all properties) month-to-date.
My original plan was to do Quick Measures > Time Intelligence > Month-to-date Total.
The "Quick Measure" form I'm using:
This creates this measure:
usersReturning MTD =
IF(
ISFILTERED('dailyLog'[date]),
TOTALMTD(SUM('dailyLog'[usersReturning]), 'dailyLog'[date].[Date])
)
However, when I try to make this value shown in a card tile, it just shows (blank). And in the past, I know at some point it creates another kind of error. (I'm having difficulty replicating the value.) I'm wondering if this is because I don't have unique dates, but repeating dates? But I'm not getting any feedback on why.
I'm relatively new to PowerBI, and particularly to the quick measures and DAX scripting. So open to help or suggestions, and wondering if there is a way to make this work with the data schema that I'm showing here.
Based on this data...
You can use a TABLE visualization. Don't check date, & use sum on the returning users to get this report:
Your "single measure" is 7565, but you can also see a summary of A, B, & C to understand how that measure came to be. But if you really just want the 7565 all by itself, then select Card as the visual:
I'm playing around with some datasets on Kaggle.com, trying to learn better practices for ETL, as I tend to get stuck with specific things with the transform part. For this question, I am dealing with the survey results from Stack Overflow 2018: https://www.kaggle.com/stackoverflow/stack-overflow-2018-developer-survey - specifically the LanguageWorkedWith column.
Currently I am using a combination of RapidMiner/Excel to attempt to change the data. I am not well versed in R and Python code enough to solve this problem with coding methods.
The problem with the current column, is it lists all the languages that a user has chosen separated by a semi-colon. I can easily split a column on a semi-colon, but what occurs is either 2 things:
I have 31 columns of LanguageWorkedWith1 - LanguageWorkedWith31. This makes gathering a count of languages by salary to not work.
A cartesian effect where each row would be duplicated to accommodate only the choice of language. So you'll have a lot of duplicate rows, which definitely affects the integrity of the data. I have also tried using Power BI ( the Load location) to remove duplicates on the responder ID and language, but that didnt work.
Ideally I'd like to do a language by salary visual in Power BI, similar to how many kernals have it, but cant figure out the process for making this happen outside of code. Not sure how this would look exactly, but if i can split all the languages and count them, I can at least do something like this:
But I'm not sure if i can relate this back to salary with how the data is.
I just want to understand some transforming processes better! Appreciate any help!
The key here is to split into rows instead of columns.
So that you end up with a table like this:
You can keep that row expansion in its own related table in your data model so you aren't creating a giant table.
From there it's pretty easy to make visuals provided you know a little bit of DAX. For example, I created an AvgSalary measure (after converting that column to a numeric type) like this:
AvgSalary =
CALCULATE (
AVERAGE ( survey_results_public[ConvertedSalary] ),
FILTER (
survey_results_public,
survey_results_public[Respondent] IN VALUES ( 'Language'[Respondent] )
)
)
and was then able to create interesting charts like the following:
I am trying to get the first 4 digits from a string from a table in Power BI. The connection is a live connection / Direct which does not allow me to edit the query. Also, I am unable to create a new column. So I have to stick with creating a new Measure.
Now, I am using the following formula to get what I need.
LocationCd = mid(vw_DW_Contracts[ContractNumber],1,5)
but, this is not working a the vw_DW_Contracts table cannot be used in a measure. Is there a workaround to such problem?
I do not have access to the analysis service so cannot make any modifications in the source.
Please help.
Thanks
but, this is not working a the vw_DW_Contracts table cannot be used in a measure.
I'm not sure what you mean by this, but I'm guessing the message you see is telling you that measures expect an aggregation. The formula you posted would be great as a calculated column where it can be evaluated row by row. Measures are aggregations over multiple rows.
If you are trying to make a new field that is the location code that can be used in visuals on a categorical axis, this should be a column rather than a measure. You could write a measure to show a location cd using something like LASTNONBLANK (mid(vw_DW_Contracts[ContractNumber],1,5), 1) but I doubt that is what you want.