I have a set of data ~36 000 rows from which in one column there are numbers and numbers with text (100567563; WT1632366; 3275-2422 etc.) I need it to show the data as it is. It's not an error and I have tried changing what the data is (text numbers general in excel and in Power bi with no success. Any tips?
In power bi ensure that you have the datatype of that column as text, It works absolutely fine for me.
Power Query previews the dataset, and determines the datatype from the first 1000 rows. From your question I'm going to assume that the first lot of previewed rows are numerical.
You can order your Excel file to have the first rows as 'WT1632366' then when it loads the data it will convert it to the text/string type, and load the numerical columns as text.
If you look in the query editor, you will see a 'changed type', you can see the column name and the format. In the below image I have a column called 'Data' you can change it from:
"Data", Int64.Type
to
"Data", type text
And it should load.
Note: If you insert a step after it that does this, it may still not load and error
In the image, the first 1200 rows are the number 1, the 1201 row is the text 'ABC' this will fail on load unless you change formating to text. You can do this by clicking on the column and clicking on the '123' and change it from the selection to text. If it asked to replace current step use that option.
Once the datatypes are set it will not reavelate them on later loads, so you don't have to worry about data type changes
Related
I am trying to display the outcome scores on one Excel sheet into another Excel sheet based on the outcome name and course.
If the text in Sheet1!C2=communication and Sheet1!E2=Comm 2010, then display Sheet1!D2 on Sheet2!B3.
If the text in Sheet1!C4=information* and Sheet1!E4=Commm 3000, then display Sheet1!1D4 on Sheet2!C5.
Need to be able to use Wildcard when checking the text.
If the text in Sheet1!C6=communication and Sheet1!E6=Comm2010, but there is no number in Sheet1!D6, leave Sheet2!B5 blank
I have played around with a few different IF AND formulas, but I can't get the data displayed correctly.
Right now, I am building a pivot table from the data in Sheet1, then taking the table and formatting it to match the table on Sheet1 then using =IF(Pivot!C7="","",Pivot!C7). This works, but building a pivot table for each student and then formatting it to match Sheet1 is a time drain.
I'm really hoping there is a better way to do this.
Thank you!
Since you are compiling outcomes on a per-student basis and not in total it is safe to use the SUMPRODUCT() function:
The formula below is used in B3
=SUMPRODUCT((Sheet1!$E$2:$E$6=Sheet2!B$1)*(Sheet1!$C$2:$C$6=Sheet2!$A3)*(Sheet1!$D$2:$D$6))
and can be copied across and down throughout B3:C4
The formula used in B5 is different, because of the 'wildcard criterion'
=SUMPRODUCT((Sheet1!$E$2:$E$6=Sheet2!B$1)*(LEFT(Sheet1!$C$2:$C$6,11)="Information")*(Sheet1!$D$2:$D$6))
(unless you are using Microsoft 365, having the formula directly suppress 0 values essentially entails doubling it in length so, as an alternative, given the small output range, a custom-number format has been implemented, which effectively doesn't display 0 in a cell where that is the formula result)
I am using a power BI matrix report and I want to fill the blank values to 0 in the matrix tables. The data source would be a table from SQL server.
I am looking for options to fill the blank values with 0 using power BI? Any help would be greatly appreciated.
In a given table, (Blank) often comes from "null" in a column. Under Transform data, you can select the column you want to edit, then select "Replace Values" in the Home ribbon. Then it just works like a find and replace in any editor.
As mentioned in the comments, Blank is there for a reason and replacing to 0 may be a bad idea, depending on the data. In general, I try not to destroy any data unless entirely unavoidable.
Consider other solutions:
Like if you just don't want your calculated visualizations to show "(Blank)", do something like Measure = CALCULATE(<something>)+0 and it'll show a calculation of 0 if theres nothing in the column.
If you have a slicer showing a "(Blank)" category, just filter it out in the filters sidebar.
so, I got 3 xlsx full of data already treated, so I pretty much just got to display the data using the graphs. The problem seems to be, that Powerbi aggregates all numeric data (using: count, sum, etc.) In their community they suggest to create new measures, the thing is, in that case I HAVE TO CREATE A LOT OF MEASURES...Also, I tried to convert the data to text and even so, Powerbi counts it!!!
any help, pls?
There are several ways to tackle this:
When you pull a field into the field well for a visualisation, you can click the drop down in the field well and select "Don't summarize"
in the data model, select the column and on the ribbon select "don't summarize" as the summarization option in the Properties group.
The screenshot shows the field well option on the left and the data model options on the right, one for a numeric and one for a text field.
And, yes, you never want to use the implicit measures, i.e. the automatic calculations that Power BI creates. If you want to keep on top of what is being calculated, create your own measures, and yes, there will be many.
Edit: If by "aggregating" you are referring to the fact that text values will be grouped in a table (you don't see any duplicates), then you need to add a column with unique values to the table so all the duplicates of the text values show up. This can be done in the data source by adding an Index column, then using that Index column in the table and setting it to a very narrow with to make it invisible.
I have a PowerBI Report showing columns of figures representing hours of support we've sold by customer. Those figures are calculated in PowerBI by men.
But some customers haven't bought any support - so I want to show those columns for those customers as blank, not zero.
I can do this easily by turning the whole column to text, rather than numeric, and the blank fields can just be "". But users want to be able to export the visual and have the numbers be numbers (not text) when it gets to Excel.
Is there any way I can have 0 values show as blank in this case?
I'm not sure how you've set up your data and what you'd really like to do with it. But until we get some clarifications here's is my take on it:
Some sample data:
Hours,Customer
1,AA
2,BB
2,CC
0,DD
4,EE
If you import that data using Get Data and activate the Power Query Editor, you can right-click Hours, select Replace Values and replace 0 with null to get this:
Click Close&Apply to get back to the desktop and select a Clustered Column Chart. Assign Customer to Axis and Hours to Values so that you get this:
As you can see, DD is not there, which I believe is how you'd like to illustrate your data. But now you can also click Customer under VISUALIZATIONS > Axis and select
Show items with no data:
And you'll get this:
If you now select Export Data you'll get a txt file with all the customers, but with no data for customer DD that originally had the value 0:
Please let me know if this is not what you were looking for.
I've imported data (approximately 200 columns) into Power BI desktop (latest version as of 2017-08-02) and have explicitly told the app to treat a number of columns as being percentages. Within the query editor, I can verify that my values are treated as such:
When I put my data into a table, they show up as normal floats, not percentages. When I click on the exact same column as in the above picture and view it in the Modeling tab, Power BI shows it as being "General" format:
While I can go through and change the formatting here to have them all be percentages, I have already done so in the query editor! Is there a way to make PBI recognize my already specified format?
Short answer: No.
Explanation:
In the query editor, you didn't actually specify any format. What you specified is the data type, so that the source data can be read correctly. Say you have a column with data like 001, you can specify it as text type so you can retain the leading zero.
However, the actual formatting (i.e. data presentation) is done in your second step, because even if it's a (decimal) number, you can still format it as a percentage, with different decimal places, etc. (vice versa)