I have several measures computed and I am placing them on the Line and Clustered column chart to display them side by side. The challenge I am having right now is i can not group them for displaying on the Chart. Please see the attached screenshot.
As you see all the measures are appearing one next to the other, total of 10. I want to separate them and show them as a group of two. Is this possible to do, may be by using other type of chart? I have to use the measures coz they contain computed values from the dataset imported.
If any one has an idea over this, please help. Thanks in advance.
Create a new table with one column containing all of the groups that you want. For example: Gross, Net, and Total and put that Group column on the clustered bar chart axis.
Create a measure for the first bar of each group and a measure for the second bar each group. For example:
Actual = SWITCH(SELECTEDVALUE(Groups[Group]),
"Net", [NetActual],
"Gross", [GrossActual],
"Total", [TotalActual])
Budget = SWITCH(SELECTEDVALUE(Groups[Group]),
"Net", [NetBudget],
"Gross", [GrossBudget],
"Total", [TotalBudget])
Now put the Actual and Budget measure on in the bar chart Value field and you should get something like this:
Related
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 have got a column chart with 79 geographies and a slicer with the 79 geographies. The column chart is NOT dependent on the slicer however there are other visualisations in the page that are dependent on the slicer.
What I would to achieve is when I select a specific geography in the slicer the bar that corresponds to that selected geography should be highlighted (i.e. a different colour fill). Can someone please let me know if it is possible to achieve.
I was able to achieve this partly by creating an independent slicer. Not coming from the table or joined to the table. I created 2 new measures, one that shows the selected value in the slicer and the second measure to give it a colour. I used this to change the data colour by using "fx" to determine the colour of the column. I am attaching the Power BI file that shows this solution for your reference.
But by doing an independent slicer my other visualisations don't update. I am wondering if it is possible to achieve this without creating an independent slicer so that my other visualisations are not affected.
Any help is greatly appreciated. Thank you.
Measure 1: Measure = SELECTEDVALUE(Locality[Locality])
Measure 2: Colour = IF(MAX(Sheet1[Locality]) = selectedvalue(Locality[Locality]),"red","blue")
Please see below the screenshot and also link to the sample .pbix file for your reference.
Sample Power BI file - https://1drv.ms/u/s!AubIV2PXG9p4gqhykbbmeMfFYlChCw?e=w6UABf
Disconnected table solution file - https://1drv.ms/u/s!AubIV2PXG9p4gql1_KvyEK82cZZDMw?e=7TAR6i
You did a great trick as I checked your solution file. But slicer not working as expected which is your issue as per your explanation. To make it work, you can just think reverse of what you have done now.
You have separated slicer value from other data, so that selecting a value in the slicer still keep all Locality in the Bar chart. But problem is, its also keeping all localities in other charts where you wants to take effect of slicer selection. Right?
If the above explanation and assumption is correct, just separate your Locality and Population column to a different island (no relation) table. And create your BAR chart from the new table. Now, if you select a value in the slicer, all charts will be filtered accordingly but the BAR chart.
Finally, apply the Color measure to FX as you implemented currently. This will work as I tried it here and got success. Following is the sample output-
Sample Data.
CompanyA,2019-01-01,29000
CompanyA,2019-02-01,35000
CompanyA,2019-03-01,43000
CompanyA,2019-04-01,27000
CompanyA,2019-05-01,45000
CompanyA,2019-06-01,21000
CompanyA,2019-07-01,26000
CompanyA,2019-08-01,27285
CompanyA,2019-09-01,26035
CompanyA,2019-10-01,24785
Expected Output.
My Boss has asked me to show sale trend by companies and month. but he wants it to be shown like below.
X axis should have Month Names
Bar lines should tell overall sales amount by month.
multiple lines should represent company sales amount.
i have achived this output by replacing 2 charts on each other (hidden one background).
First i have taken a CLUSTERED COLUMN CHART and place a Line chart on it with hidden background.
Sample File
But for me this is just an adhoc solution and One more problem is that both chart's y axis doesn't match.
seeking for a good solution on this. either another good chart to represent this kind of data or how to achive it any other way?
Thanks in advance.
You can create measures for individual company, if number of companies is not a big number, and then put them in "Line values" to achieve the same result as above.
So For ex, if you have 5 companies in the data then create 5 different measures like below
CompanyA = calculate(sum(sales), filter(tbl, [company] = "CompanyA"))
like the above ex create measures for other 4 companies also
Here, I have a dataset in which there is an eventid (ID) captured for each event generating in each department(DEPT), with its timestamp(event-time).
Each event captured is categorized as OPEN/ CLOSE(event status).
I want to show the efficiency of each department, which is defined as-
Total cases closed Divided by Total no. of cases registered in that Department.
I tried using 100% stacked bar chart, but the result in it changes every time a different slicer is selected.
Please Help.
You'll need to use a combination of CALCULATE and ALLEXCEPT. THe resulting measure will look something like this:
NewMeasure := CALCULATE([OriginalMeasure], ALLEXCEPT('MyTable'[Field To Keep Filters ON]))
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.