In PowerBI I'd like to build Non-standard matrix very similar to the report in Google Analytics.
What do I have now:
I want to change my subtotal to measure, which is calculated as the difference in percentage of the two values
What I want to get:
In Power BI, there is no way to override the subtotals of a matrix with a calculation. Part of the challenge is that you know there are only two date ranges, but as far as Power BI is concerned, there could be any number of date ranges.
It's difficult to tell from your question exactly what input you have and what output you're looking for. Further, the numbers in your screenshots are obscured. However, one consideration would be to solve the problem using measures (i.e. a measure representing the first date range, a measure representing the 2nd date range, and then a measure calculating the difference between them). You may need to change the layout of your visual a little to make this work and the specific design would depend on how static your date ranges are.
Related
I am trying to create a forecast but this is the error that I get:
I am working with about 300,000 rows of data. Most of the report has already been built. My data just doesn't cotain certain dates. How can I solve this issue?
So the issue boils down to the problem of "How to create an evenly spaced timeline". You can easily achieve this in PowerQuery
Create a separate daily date table.
Outer join your observations onto the dates, which will give you "null" for the unobserved days
Apply the "fill down" operation on your values column, which basically means that the last value will be repeated until a new observation appears.
These evenly distributed time series is suitable for ML forecasting, at least when it comes to predicting trends. But the real power of this feature in Power BI is in predicting seasonality, and you most likely won't get that right with the above interpolation.
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.
I have the following Power BI table example for an operating expense report that uses a slicer to filter the first column named "Actual". This is to see the operating expenses for one month compared to the budget figures for the year. It also compares the year-to-date and annual figures. How can I create dynamic columns that change based on the slicer selection? These additional columns are not shown in the pic below but included in the last pic. The Budget column below was just created as an example to show what it should look like.
I set up a star schema with several tables shown below. There's only one expense fact table used and the slicer only works for the first column as previously stated but I need all the other columns to use different parameters and adjust based off what's selected in the slicer. The last image is an overview of the info and the parameters for each column. I tried creating new columns with measures for the budget to see if I can get that going but can't figure out how to make it adjust with the slicer selection.
I'm not sure if I should be using separate queries for each column or can this be done using the one expense table. Hope this isn't too confusing. Please let me know if more info is needed.
If I understood what you wanted correctly I think I solved your problem.
I was able to create the following:
I did not use all values since I did not want to type everything, if you provide some test data it is easier to replicate you dashboard.
This matrix (so not table) allows you to filter for Date (if you so desire, you can always show all date's in the matrix) Book and AccountTree.
The way this is done is by putting the address column in the ROWS for the matrix, Putting the Date column in the COLUMNS of the matrix and putting your values (actual, budget, variance) in the values of the matrix.
For the date is used days, since it was easier to type. You can always use weeks, months, quarters or years.
For this to work you have to create the following relationships:
Hope this helps.
If not, please provide test data so it is easier to try and solve your problem.
I am new to Power BI and with the limited time given, I am stuck at how to come up with:
Below Table B-Row1 ("1/20" and "M"-Monday cell) - how to
specifically place the date measures in their specific cell and put
it in one column?
How can I merge the cells under the Total column?
How to add all the numbers from the Type1 and Type2 columns and place it in the merged cell in #2?
Any clues/direction/links on how to achieve the Target Table B below will be much appreciated.
PS. Below Table A. Current is just using Matrix Visualization in Power BI.
You can't exactly do what you are after. PowerBI allows you to rapidly put amazing visuals together however that comes at the price of lack of (easy) flexibility. You could build your own custom visual or look in App Source for a visual that does this, or build the Visual in some other tool (via custom code).
However, I'd recommend sticking with the PowerBI matrix, which will give you a cascading drill down and work out how best to align your data to it and other out of the box visuals. Once you start to delve in to convoluted work-arounds to give users data in exactly the format they request you start to burn a lot of time. Look for alternatives to tell the data's story and work with your end-user to buy in to it.
Just wanna share that I have resolved my problem not using one type of visualization, but through using 3 different visualizations in Power BI. I used:
1 Table visual for Date column
1 Table visual for Total column
1 Matrix visual for the Code+Type mapping and counts
I also used DAX function to get the Date format and another DAX function used for both Total and Code+Type counts(to filter data according to the specified date).
Thanks for the response, #Murray and #RADO.