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Category: Power BI

Word Cloud Visual

Published 2016-10-11 by Kevin Feasel

Devin Knight shows off the word cloud custom visual in Power BI:

Key Takeaways

  • Great for parsing unstructured data

  • Utilize stop words to remove commonly used filler words like a, the, an, etc…

    • You can use the default stop word that are provided and add your own that you would like to remove from the visual.

  • The size of the words in the visual tell you how frequently the word is used.

Cf. yesterday’s word cloud example.  I’m not sure how truly valuable word clouds are for visualization purposes, but at least they’re fun to peruse.

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Auditing In Power BI

Published 2016-10-11 by Kevin Feasel

Ginger Grant shows off some of the auditing capabilities within Power BI:

As you can see by looking at the available Power BI options, there are a number of options to choose from. If you select the top item PowerBI activities, then everything gets selected. After doing that click outside of the menu for the menu to go away. Select a date and time range of your choosing, select specific users if you wish, then click on the Search button. Depending on how big your date range is, this may take some time to load. Once you see the results, you have the ability to filter as well.

Another day, another two dozen new Power BI features…  This one’s a good one.

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Generating JSON In Power BI

Published 2016-10-10 by Kevin Feasel

Chris Webb shows how to generate JSON in M:

Often, when calling web services from Power BI or Power Query, you’ll need to generate some JSON inside your query to send to these web services. The M language makes this relatively easy to do with the Json.FromValue() function but there’s only one example of how to use it in the help so I though it might be useful to provide some worked examples of M data types and how Json.FromValue() turns them into JSON.

First, here’s a function – that I’ve called GetJson() for the examples here – that takes a parameter of any data type, passes it to Json.FromValue() and returns the JSON representation of the input as text:

Read on for the code sample.

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Power BI Row-Level Security With External Users

Published 2016-10-07 by Kevin Feasel

Patrick LeBlanc shows how to implement row-level security within Power BI for people without direct access to an underlying Analysis Services cube:

Before I explain how to fix this, let’s take a look at what’s happening behind the scenes.

  1. When jdoe@adventureworks.com opens the dashboard a connection string is created including the effectiveusername property, which is expected behavior.

  2. The value specified for this property is jdoe@adventureworks.com.

  3. The connections string including the queries are sent via the On-Premises gateway to the SSAS server that hosts the data needed to view the report.

  4. Once the connection is established, using the username and password specified in the Data Source settings, all queries are executed usingjdoe@adventureworks.com.

Read on for the solution.

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Hurricane Matthew Tracking With Power BI

Published 2016-10-07 by Kevin Feasel

Chris Albrektson has a Power BI report tracking Hurricane Matthew:

We’ve got company and it’s not the type of company that you want! As most Floridians are preparing for Hurricane Matthew I thought it might be neat to track the storm using PowerBi. So I went out and found some public data online and brought that into PowerBi, created a couple calculations and some visualizations.

My goal for this was to create a report where I could track the storm no matter where I was. I also needed the ability to see the latest data without any manual intervention. PowerBi can handle all of this for me utilizing the PowerBi Mobile app and a few other cool features.

Good use of Power BI here.

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Documenting Tabular Models

Published 2016-10-06 by Kevin Feasel

Meagan Longoria shows how to document a tabular model using Excel and Power BI:

The Database Info tab uses cube functions to display the values shown. The rest of the tabs use pivot tables and slicers.

You can download and use this model if you have Excel 2016 or 2013 with Power Query. Just download the file, change the values in the TabularInstanceName and TabularDBName queries, and refresh. I was able to open the file and update the queries with no issues and no changes in Excel 2013.

This is great if you just need documentation or a quick way to look up specific information. But we could really analyze this using visualizations other than tables in Power BI Desktop.

That’s pretty fancy.  Check it out.

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Stream Graphs

Published 2016-09-28 by Kevin Feasel

Devin Knight continues his visualization series with the Stream Graph:

Key Takeaways

  • Works and looks similar to a Stacked Area Chart but with a wiggle feature that gives it a more fluid look and feel

  • Great for displaying data that changes over time

At first, I read this as “Steam Graph,” which made it sound like a steampunk visualization with unnecessary pipes and mechanical accouterments, but alas, it was not meant to be.  I do like the stream graph visual, though.

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SSAS And Power BI Performance Issue

Published 2016-09-27 by Kevin Feasel

Chris Webb describes an issue with SSAS Multidimensional and Power BI-generated DAX causing a performance problem:

This query has something in it – I don’t know what – that means that it cannot make use of the Analysis Services Storage Engine cache. Every time you run it SSAS will go to disk, read the data that it needs and then aggregate it, which means you’ll get cold-cache performance all the time. On a big cube this can be a big problem. This is very similar to problems I’ve seen with MDX queries on Multidimensional and which I blogged about here; it’s the first time I’ve seen this happen with a DAX query though. I suspect a lot of people using Power BI on SSAS Multidimensional will have this problem without realising it.

This problem does not occur for all tables – as far as I can see it only happens with tables that have a large number of rows and two or more hierarchies in. The easy way to check whether you have this problem is to refresh your report, run a Profiler trace that includes the Progress Report Begin/End and Query Subcube Verbose events (and any others you find useful) and then refresh the report again by pressing the Refresh button in Power BI Desktop without changing it at all. In your trace, if you see any of the Progress Report events appear when that second refresh happens, as well as Query Subcube Verbose events with an Event Subclass of Non-cache data, then you know that the Storage Engine cache is not being used.

This doesn’t look to be a quick fix, so do read the whole thing to help figure out how to avoid this issue.

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Slicer Filter Workaround

Published 2016-09-27 by Kevin Feasel

Reza Rad has a workaround for cases in which you want to filter a Power BI slicer:

The idea of this blog post came from a question that one of students in my Power BI course asked to me, and I’ve found this as a high demand in internet as well. So I’ve decided to write about it.

You might have too many items to show in a slicer. a slicer for customer name when you have 10,000 customers isn’t meaningful! You might be only interested in top 20 customers. Or you might want to pick few items to show in the slicer. With all other visual types (Such as Bar chart, Column chart, line chart….) you can simply define a visual level filter on the chart itself. Unfortunately this feature isn’t supported at the time of writing this post for Slicers. However the demand for this feature is already high! you can see the idea published here in Power BI user voice, so feel free to vote for such feature :)

As Reza notes, this might get resolved fairly soon.  Until then, check out his solution.

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