I'm currently preparing a report in PowerBI where I need to list out missing items from a list of potential options. The values are categorical variables that are used to classify each entry into a log. I have a reference table and a list of manually entered values which I can get to show missing rows in a table that looks like this example.
My report has a pie chart showing the spread of the entered values, so the list is to show the complementary missing values. I am trying to work out a measure or calculated column that will show true/false for the blank cells in entered vals so I can use the reference list to filter only those values that are false.
you can use DAX measure to check if a cell is blank or not
Measure= IF(ISBLANK(Table1[reference]),"False","True")
Related
I am loading an Excel file, in which it has 43 rows, all the rows are identical. This is the only file I'm loading and there are no connections relationships in the model whatsoever.
When I plot my data into a table visual, and choose not to summarize any of my fields, Power BI still shows me one row. While if I change any of the field to do a count of it, it shows me correctly that I have 43 rows. I need to be able to see all the 43 rows in my table.
Why is Power BI summarizing my data even if I command it not to do so?
Am I missing something simple?
Input table as seen in Power BI data tab:
The visual I'm trying to create:
The table visual in Power BI behaves similar to a Pivot Table in Excel.
W/o an aggregation defined, the "Values" fields behave like "Rows" in a Pivot Table and you will only see distinct items or distinct item combinations. You have 43 identical records, hence it is represented as one row in the visual.
With an aggregation defined (Sum, Count, ...) the field behaves like "Values" in a Pivot Table, and you get the result of that aggregation, filtered by the distinct items/combinations to the left, which is again one row in your case.
If you just want to show all the records in a table visual, you'll have to make them unique. The easiest way to achieve that is by adding an index column in PowerQuery and then also showing that index in the table visual.
However, this is not exactly what Power BI is made for and you are probably better off by switching to something like PowerPoint instead.
And btw., newer show sceenshots in stackoverflow, always provide sample data instead.
I got a bar chart and I need to re-order the bars show in it. The bars show at which speed a person was driving and are currently sorted by the one that appears most often.
The data is imported in the structure:
The fields named *_id are used for filtering. What is shown in the bars is the count of the gemeten_snelheid column.
As shown in the bar chart the speeds are not sorted by "speed" but by count. Is it possible to re-order the bars so they are arranged by speed, and how would this be done?
I don't really know how to create a working example of this as the data is imported from a database connection, so if any more information is required feel free to ask.
You could create a new column and order by it, you could do it in sql, for example:
case when column1<30 then 1
when column1<40 then 2
when column1<50 then 3
column1_sort
Or you can do it in PowerBI, you could Add Column -> Conditional Column and write your Ifs. Or you can when in PowerBI desktop right click table, select New column and write something like:
Column_sort = if([Column1]="<30",1,if([Column1]="<40",2,if([Column1]="<50",3,4)))
Then select your not sorted column (Column1) and under Column tools there is Sort by column, and from there select column1_sort
Did you tried this below option? Here I am getting your expected output-
I need to add calculated column that would ignore values selected in a slicer:
I tried:
all users = ALL(Sheet1[UserName])
But it gives me an error: A table of multiple values was supplied where a single value was expected.
A calculated column cannot be affected by a slicer but that's not what you seem to be referring to.
It appears you are trying to create a visual that lists all the users. For this, you can put Username on a table visual and disable the filtering from the slicer by going to the Format tab and clicking Edit interactions.
If I understand you correctly, You have to use ALL() Function by
creating new table Under the modelling tab
I wrote a query in Power BI which returns results like this
Is it possible: For the first column Service Name if value is same in cells than to show value in the first cell and than leaves all the other cells blank until the value is changed, If the new value is repeating than again leave all the cells blank until a new value found
All you need to do is to change the table visualization to matrix visualization.
Just keep the column under the Rows section.
The matrix visualization will then group and hide the repeating values automatically.
For me, when I switched to a Matrix visualization, it displayed all fields in a single column with plus signs to view detail. To show each field in a separate column, go to "Column Headers" and turn off "Stepped layout".
Use Matrix visualization
Add Service Name and Ticket Type into the Rows
Drill down the visule
go to setting, and under Row Header, remove Stepped
MWE set up:
1) From the Power Bi visual website: https://app.powerbi.com/visuals/ there is a custom download "Box and Whisker (Jan Pieter)"
2) Download sample.
3) create new measure with dax formula:
Distinct count score = if(distinctCOUNT(Courses[Score]) > 4, average(Courses[Score]), Blank())
4) Add a Stacked column chart with Course as the axis and the newly created 'Distinct count score' as the Value and get the following:
5) compare this graph to the Box and Whisker provided by Power BI:
Here is my problem. I only want to show values in the Box and Whisker where the Distinct Count of Scores is greater than 4 -- So I only want Physics to show up (like the stacked column chart above).
So if I try the solution working with the stacked bar chart using the Dax formula. I get the following--nothing shows up:
And this is what I want to happen:
Question:
Is there a way in Power BI run and distinct count statement within a Box and Whisker chart to only show data with > 4 distinct values (or any if statement)?
I want it to be formula based, I cannot just 'visual filter' items I do not want.
Possible answer:
I thought about going to the source code to try and 'throw in' a if statement. But I went to the developers git hub: https://github.com/liprec -- I couldn't find the repo for this visual.
Basically this is due to the way the box and whisker chart is working. The visuals needs a dataset to calculate the values (mean, median, etc.) and use those values to show the box and whisker.
So in your case you need to create a measure that is on the same level as the scores (because those values are needed) and is only available. See the screenshot for a visual explanation of the needed measure.
I created the measure with the follow DAX measure:
Filter Score = IF(CALCULATE(DISTINCTCOUNT(Courses[Score]), ALLEXCEPT(Courses, Courses[Course]))>4, MIN(Courses[Score]), BLANK())
The Boolean expression of the IF statement calculates the distinct scores per course via a CALCULATE expression and the ALLEXCEPT filter option to ignore everything but the course value. And the TRUE part returns the score which needs to be aggregated, so the MIN and the FALSE part return a BLANK() value so is can be ignored.
When you add the new measure and create a BW chart it will only show 'Physics' course results.
If you need more help, please let me know here or via email.
-JP
BTW: I just updated my PowerBI visual GitHub repository (https://github.com/liprec/PowerBI-custom-visuals) and added my box and whisker chart and my hierarchy slicer to it in the folder oldAPI.
The crux of your problem, as far as I can tell, is that you want to filter visuals to courses that have a particular number of distinct values. Which visual you want to use is almost irrelevant (though it was helpful to have a sample Power BI workbook to follow along with).
The way I'd approach this (and not saying this is the best or only way)
Step 1
Create a new Course dimension table, with one row for each unique course. In the sample workbook, you can click 'Enter Data' and manually type in the data.
Course
------
English
Math
Physics
Step 2
Next, create a calculated column in the new table and calculate the distinct count for each course. This isn't a measure - it's a column in your table, that uses the Distinct Count calculation from your question.
Distinct Count = CALCULATE(DISTINCTCOUNT(Courses[Score]), SUMMARIZE('Courses','Courses'[Course]))
The SUMMARIZE works like a GROUP BY. In essence, creating one row per course with a distinct count of scores.
Step 3
Use this new attribute as a filter on your visual. You can then dynamically alter the number of distinct values as you feel like (4, 3, 2).
I know this isn't quite as good as typing a formula into the visual filter field, though in practice it's still formula driven. The formula is just on an underlying table.
Why so complex?
The reason you have to do this for the Box & Whiskers visual, whereas your 'Distinct Count score' measure works so well, is that on the column chart, you are displaying a single value (the average score). The Box & Whiskers chart, by contrast, is plotting every individual score.
In fact, if you removed the 'Course' from the axis of your column chart, the value changes as it adds back in the courses you filtered out. (The reason for this is that, if no course is on your axis, your formula calculates the distinct count of all the courses, which is 7). Likewise, if you were to filter your column chart to a particular session, your column chart would go blank (since in any given session, no course has more than 4 distinct values).
The technique I've described above fixes those problems, because it filters out the courses Math & English from the get-go. It doesn't matter if you've filtered to a single session, or not filtered by course at all. English & Math will always be excluded as long as their distinct count is below the value you specify.
Hope this helps.