I have a data set that contains ~4 million rows. The visual component I am using is a Matrix visual. After selecting the data I need, the Matrix visual is 150 rows and 25 columns. I would like to export this into a csv in the exact way it is shown in the Matrix. When I try exporting the data set via the export data option in the menu, I get a message indicating that my data set is too big.
Is there a way of exporting the data in this format, or perhaps a python / R script that can gain access to the data the visual is using?
Any help appreciated, Thanks in advance
Exporting data as is from a matrix, is not supported. However, it is planned and you can vote for it, if you want to. You can only export the underlying data, but you obviously reached it's limits.
What you can do, is to connect from Excel to your data source and create a pivot there, the same way as your matrix in Power BI.
Related
I'm using a calculated column that is an average. The problem is, the average is above the range of possible values, which should be impossible. I made a calculated column that calculates the average star rating (out of a range of 1-5) and the value on a visual is coming up as 6, which shouldn't be possible, even if all the values were 5 stars, which it isn't. So there must be an outlier causing the average to be above the range of possible values, but it isn't in the original data source which Power BI pulls from. The original data source shows me a value of 4.1 as an average, which is within the expected range. But Power BI's dataset has introduced an outlier or (data is missing) that caused the average to become a 6.
I can elaborate on the dax below, but what I want to try to do is pull the dataset down from power bi to figure out why it's calculating its average that way. Looking at the source data, the average is 4.1 and there are no outliers in the source data. So, it's not the source data that's the problem. Basically, I want to find the outlier that's causing the average rating to differ in Power BI.
Avg Rating = IF(SUM(data[Total Reviews]) = 0, BLANK(), SUM(data[Monthly Stars])/SUM(data[Total Reviews]))
Here's a screencap that shows the two
relevant columns
Notice that I had to manually calculate (aka eyeball the columns and type into a calculator then calculate manually) these two columns, which came out to ~4.6. I'm trying to download this dataset to explore it in further detail without having to eyeball the dataset, as the source doesn't show this discrepancy.
To get to the data you have a number of options.
Create a new report in Power BI Desktop, and then use the connect to PBI Dataset option to access that data, in for example, a table. You can create your own report based on the dataset in the service as well.
Access that data via Analyze in Excel, which should allow you to access the data in a pivot table using Excel
Use the Export data from the visual option, using this you can download 30,000 rows into a csv, or 150,000 in to xlsx formats
Please note, that these options may not be available to you if you do not have the right permissions in the workspace, or options have been turned off in the Power BI Admin tenancy settings.
I have a PowerBI that pulls from an excel spreadsheet a current inventory of statuses of a system, lets make it easy and say I have a single measure that reads "40% complete".
If I refresh the PowerBI dataset and it now says "60%", is there any way to have a KPI automatically show +20%? Every example I've found requires you to have another dataset that keeps the historical data, and that's not really an option in this situation. Is there any way to calculate it or store it within the PowerBI query itself?
Power BI is not designed to store historical data. This is what a database is for.
In order to calculate that 20% difference, you need to store historical data somewhere but Power BI's purpose is to connect to sources and load data and then visualize it, not to act as a data repository.
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.
I have an excel file which has 3 tabs.
2 of the tabs are loaded with revenue data correctly, however there is one tab which is getting partially loaded.
Count of rows in the excel is 96,652 whereas after uploading in power BI it is 49,999.
Not sure why there is data loss?
As a workaround, I copied and pasted excel data as values in another excel file to test it. And, it is working fine and there is no data loss.
Not sure, why Power BI is reading partial data through excel for that particular tab.
Any ideas and suggestions are welcome.
Looks like issue is due to maximum allowed data. Can you try to change below option and reload same file?
Open your report in Power BI Desktop editor and go to Menu File -> Options and Settings -> Options
Under Global section, increase Maximum allowed (MB) size to some higher number and try to load your file again.
After converting shapefile from mapshaper.org and importing it to Power BI I'm getting the below data structure in power query. I have seen countless custom map tutorials where the data is loaded straightaway to power query but I cannot seem to understand how to make this structure work. Can anyone please help me with this?
Data can be found here: data link: radacad.com
If you want to use the imported topoJSON file in the Power BI Shape map visual, you do not import it via Power Query. It is imported via the option in the visual in the Shape '+Add Map' option.
You then need another dataset that you can drag into the location field of the Shape map to map the data.
Hope that helps