This video talks about how to create custom links that apply report level filters. This is super cool and provides a ton of wide flexibility when building drill down reports. In this example Patrick talks to filtering a report based on a Sales Person (Lilly Code). Great technique for drilling down into subsets of data within a report. If implemented in correctly this will enhance the user experience.
Dynamic filtering with PowerBI:
In the above video Patrick has referred to a previous video done by Adam talking about report filters within the URL query string. For convience I have linked the referred video below, so you can watch it all in one place.
If you haven’t already make sure you go check out Adam’s site and YouTube Blog for more great information.
For more great videos about Power BI click the image below:
With another month comes another exciting release of PowerBI desktop. This month we have a number of really interesting features releases. One of the more interesting feature releases you should definitely check out is the Add Column by Example. I have seen a demo of this feature and can definitely see the potential for speeding up the data cleansing process in the query editor. I’ve also included the YouTube video below for this feature.
To read about the full release from Microsoft hit the link here.
The April 2017 Update:
Check out the Add Column by Example demo:
For other great Power BI videos click the image below:
Here is a super helpful video from Guy in a Cube about how to have multiple logins using Google Chrome. Often I find my self juggling between a work account and my PowerBI.Tips accounts to test out various Power BI features. This little trick definitely saves you time and headache when jumping between accounts.
Side note: I also found this great technique works on Azure (portal.azure.com) if you frequent this site for work and for your other adventures.
This week I had a number of team members tell me how difficult it was to share a PBIX file and the corresponding data between team members. The department hasn’t committed 100% to the idea of using PowerBI.com, and thus wanted to share the actual report. I pointed my team mates to my earlier tutorial about using variables for file locations. After reading the tutorial the team came back with a bunch of griping about how they didn’t want to go into the query editor, people name variables different things, and thus it’s hard to understand what another team member was doing, blah, blah, blah…
So, in order to make peace I took another look at trying to make the sharing of a PBIX file easier. This time I decided to use the Parameters feature within PowerBI. This feature within the Query Editor was released all the way back in April of 2016. I read about it, thought it was interesting but couldn’t find a really good use case. In my current predicament, the parameters feature is the perfect solution.
By using a parameter to store a folder and or file location you enhance the user experience by making it easier for a user to change the Query.
To modify a parameter after it has already been built click on the bottom half of the Edit Queries button, found on the Home ribbon. A menu will pop up and you can select Edit Parameters.
The Enter Parameters screen will pop up. This is where you would change the parameters for a query. In our example this is where we will enter a new folder location for our data.
Let’s begin the tutorial. To start we will need to work with some data. In my earlier tutorial, I used the Olympic Medals Count. We will reuse this dataset. Start by downloading the zipped folder Olympic Metal Count files from the following location. Once you have downloaded the sample data, extract the folder and subsequent files from the zipped file. In windows 10, which I am using, you can right click on the downloaded file and select Extract All..
A pop-up window will appear to complete the extraction process. By leaving the default settings the folder will be extracted into the same location as the downloaded file. Click Extract to complete the extraction.
We now have a folder with all our data.
With the data prepared we can now make the parameters within PowerBI. Open PowerBI and click the top half of the Edit Queries button. The Query Editor will open. Click the Mange Parameters found on the Home ribbon. The Parameters screen will open. Click the blue New button at the top left. Enter the name Folder, and include a brief description of this parameter. Since the folder parameter is essential to the query we must leave the Required box checked. Change the Type to Text, and leave the Suggested Values to Any value. Finally enter the Folder Location where our Medal-Count file is located into the Current Value. Click OK to complete the parameter.
Next, we will create the actual query to load the folder containing our Metal Counts. Click on the New Source button. This will open the Get Data window. Select the Folder option located in the list on the right. Click Connect to complete the Get Data.
The Get Data window will close, then a new window asking for the folder location will open. This is where the parameter implementation is slick. Click the ABC button to the far right of the Folder Path bar. Change the selection to Parameter and select our newly created parameter labeled Folder. Click OK to load the Folder.
Next the folder prompt opens allowing us to accept or edit the query. Click Combine & Edit to proceed. The Combine Files window will open. Here we can interrogate each file to inspect what is in each file. Clicking the drop-down menu next to Example File: allows us to see the list of all files. Select the 2004 Medals.xlsx file.
Click the Sheet1 item on the left side of the window. This exposes the data that is contained within this 2004 particular file. Click OK to proceed.
Note: For users that have been working with PowerBI for a while, this Combine Files screen flow is a newer feature. I feel that this greatly simplifies the process and makes it easier to detect issues when loading data.
PowerBI now loads the files into the Query Editor. The Query that we want to use is labeled Query2, change the Query2 name to Metal Count.
What you’ll also notice is there is a lot more queries on the left side of the screen under Queries. These queries were auto generated when we navigated through the menu screens. Click Close & Apply to complete the data load.
Build the following Stacked Column Chart:
Click the Ellipsis on the upper right hand corner of the chart and select Sort By Total to sort all the items in the bar chart according to how many metals each country won.
Great we have made a parameter, loaded multiple excel files, and then made a visual of our data. Let’s test it out. Save your work and close the PowerBI desktop. (don’t forget to save your PBIX)
Next we rename the folder where all the excel files are contained. Change the name to Olympic Medals.
Reopen your PBIX file, on the Home ribbon click the Refresh button. Ooops, since we renamed the folder we now have an error.
To fix this click the bottom half of the Edit Queries button on the home ribbon, and select Edit Parameters. Then modify the Folder field to include the new name of the other folder Olympic Medals. Click OK to proceed.
A message bar will appear under the Home ribbon. Click Apply Changes to complete the data load. PowerBI will reload all your data using the context of the new folder.
Now this is an elegant solution for sharing PBIX files and their corresponding data files with coworkers. This is just a simple example of how you would use parameters. There are a multitude of other really good use cases for using parameters within your queries. Thanks for reading along, be sure to share if you like this tutorial.
March is an exciting month, and with this release of Power BI we have been given some long asked for features. One such feature is the ability to import a color theme. The color theme defines the starting colors for your visuals. Before the ability to import a theme one would have to first define each color that they want to use in a Power BI report by changing each visual to have the correct color scheme. Color themes are useful when trying to make a dashboard and you want to use colors that resemble a company’s product or logo. Alright, let’s get started and make and add our own color theme to a report.
Begin by opening up Power BI Desktop. Make sure you have the latest version of Power BI Desktop, you can download the latest version here. The import color theme feature is available in the March 2017 release.
On the Home ribbon click the Enter Data button. Enter the following table of data and name the table Data.
Product
Value
Item1
20
Item2
25
Item3
15
Item4
40
The Create Table should look similar to the following. Click the Load button to proceed.
Power BI will load the data to memory and the Fields pane will reveal our newly created columns. Add the Stacked Column Chart on the report page and appropriate fields shown in the image below. You will notice that the default colors are automatically overlaid onto our visual when we add the Product to the Legend visual field.
Next, let’s take a peek at the standard colors that are offered by default from Power BI. Click on the Paint Roller found in the Visualizations pane. Then expand the data field labeled Data colors. Under Item1 click the little triangle. This will expose the current color scheme that is loaded.
Now we will load the new color theme. But before we can load the color theme we have to generate the color theme first. The color theme has some requirements. First the color theme must be written as a JSON file and must adhere to the JSON format. For developers this will be a very simple google search to accomplish this. However, I know there are some out there that do not enjoy doing development work. So, in a PowerBI.Tips first, I have developed a custom tool to make the color theme generation super simple.
Introducing the PowerBI.Tips Color Theme Generator (CTG) to help Power BI users create quick and easy JSON code files to input into Power BI for the color themes. Not everyone has a coding background, and though there will be tutorials and examples of how to set up the JSON, if you aren’t familiar with the language a small typo could have you spending precious time troubleshooting the issue.
update 3/15/17: The Advanced Theme Generator has been released. Find the tool here.
Click the following link to open up the PowerBI.Tips Color Theme Generator in a different Browser window. Once the browser loads the Color Theme Generator follow the instructions listed at the top of the page to select your colors. The only required fields are the Name, and at least one color. For this tutorial I selected a number of nice pastel colors. Click the Download Color Theme button to download the JSON file that we will use in Power BI.
Note: The Generator was tested on Google Chrome. Also, clicking the Download button will download the JSON file to your browser’s default location. You will need to know this file location to load the file into Power BI Desktop.
Head back over to Power BI Desktop. On the Home ribbon click the button labeled Switch Theme. Then click Import Theme.
Note: If you want to remove your custom theme you will click on the Switch Theme, then click on the Default Theme. The normal power BI colors will be restored.
Navigate to where your browser downloaded the file. Select the file labeled PowerBI-Tips Color Theme. Click Open to load the theme.
PowerBI will prompt a message letting you know everything loaded correctly. Click Close to see the new theme applied to our visual.
We can now see our custom theme by clicking on the Paint Roller found in the Visualizations pane. Then expand the data field labeled Data colors. Under Item1 click the little triangle.
Tada, now we have a custom color scheme that we create and loaded. Also, now that we the JSON file you can modify the file and keep it for future projects.
Thanks for following along. If you liked this tutorial please be sure to share. Also if you want to know more about me you can visit my About page and follow me on twitter or Linkedin for updates.
This month it is a major game changer. PowerBI has introduced the ability to change the color theme of your Power BI reports. What does this mean for you? Well, this means hours of time saved. Previously when you needed to style a report you would need to click on every visual and change the colors. This is useful when you have a specific theme or product you want to match colors with. Now all this can be done with a couple clicks for all visuals across the entire report. Wow!!!
Additionally, the ability to generate a theme is awesome but you also will need a tool to help you create a color theme. In response for this need I have created a Color Theme Generator that will aid you in the creation of making color themes. To read the tutorial on color themes visit this link.
For a while now I have been longing to spend more time learning all the ins and out of Power BI embedded. From the line of work that I do, I can see a number of different development applications where an embedded solution would be perfect. Microsoft has been spending more time developing and feature enhancing the embedded experience. The Guy in a Cube (Adam Saxton) has another great video walking through how to embed a dashboard. Great video, and a really good walk through. Thanks Adam.
Power BI Embedded Dashboards:
If you haven’t already make sure you go check out Adam’s site and YouTube Blog for more great information.
For more great videos about Power BI click the image below:
For those of you who are following my tutorials, you are most likely to understand that each tutorial comes with it’s own data source. This has been intentional so we can both walk through the example and learn by doing. Whenever, I am learning new things I find it’s helpful to do two things. First, make examples and demos of what I am trying to learn. Simply reading about a tool such as PowerBI, while engaging, it isn’t how I learn. I learn by getting my hands dirty, opening up PowerBI and creating something. You have to get utterly frustrated and stumped before that light bulb pops on and things become clear. Secondly, after I’ve taken the time to learn a new feature or method I find it extremely helpful to teach someone else what I’ve learned. By doing so, I am able share in the enthusiasm of others who also are learning. Teaching others also makes you remove all the cluttered ideas away from the essential lesson.
This being said, I consume a lot of data. Always finding data sources is difficult. Often I find myself making up my own data sets which takes additional time. At least, it used to take me forever to find data. This past week I was digging around for more data sources and I stumbled upon this gem. It is the data source has been used by many a bloggers for examples. It is Adventure Works sample business database. For this tutorial we will walk through how to load the Adventure Works dataset directly in to PowerBI.
Lets begin by opening Power BI desktop. Once Power BI desktop is open on the Home ribbon click the Get Data button. The Get Data window will open and under the Other section we find an OData Feed. Select the OData Feed and then click Connect to proceed.
The OData Feed window will open. Enter in the following HTML address into the URL field.
Note: In this example we are only using the basic OData Feed connection. Power BI does allow users to build more complex OData feeds which may require multiple parameters. This functionality is included by toggling the OData Feed screen from Basic to Advanced. This would be ideal if you had an OData Feed such as http://myOdataFeed.com/{custom parameter}/OData.
Click OK to proceed
Power Bi will now go to the web address and read the OData Feed. What is returned is a list of tables. The Navigator window shows us previews of each table. Select the CompanySales and TerritorySalesDrillDown by checking the boxes next to each table. Click Load to proceed.
Ta Da!! that was easy. We were able to quickly load the two tables from the Adventure Works database. We can confirm this by looking at all the loaded fields contained in the Fields pane.
Add a couple of visuals with the following fields to pretty up our page.
Pro Tip:notice how the two charts we added have the same color scheme but are different dimensions. The Clustered Column Chart has Years for the Colors, but the Stacked Bar Chart is using product categories. Change the colors on the Stacked Bar Chart by clicking on the Paint Roller on the Visualizations pane. Select the section called Data Colors and modify the colors for each product category.
Note: In order to sort from the largest sales amount to the smallest. Click the Ellipsis (small three dots) on the corner of the visual and select Sort by Sales. This will make the visual sort in order of sales from the highest amount to the smallest amount.
Similarly you can change the colors for the Clustered Column Chart to make the visual more appealing.
Again using the Ellipsis of the visual select Sort by Total to sort the number of sales by each employee from the largest sales amount, Linda to the smallest sales amount Lynn. Also, note that this chart is being built off the second table that we loaded from the OData Feed labeled TerritorySalesDrilldown.
Now, I believe we can say we are officially done. We have loaded data from our OData Feed and created three visuals upon that data. Thanks again for following along.
If you liked this tutorial please be sure to share. Also if you want to know more about me you can visit my About page and follow me on twitter or Linkedin for updates.
Power BI has been an continually evolving tool over the last year. The Matrix visual is powerful and mimics much of the functionality of a Pivot Table within Excel. I will admit, the Matrix visual has some features that are left to be desired. One such feature, the ability to word wrap row headers, has been resolved in the February 2017 update of PowerBI. See the official release notes for details. In my company we have traditionally been an excel driven business. All you other heavy analytics people you know what I’m talking about. Emails upon emails about an excel analysis, then power point presentations of those excel documents. Inevitably a pivot table or table will end up on a power point slide. Icky, if you ask me, especially when you have to “refresh” the data… I digress, Power BI fills a great gap in this area where the Analytics leaders within your company can make reports that easily refresh, and look dang sexy.
The Matrix is one of those visuals that I would say is a comfortable way for non-analytical people to review data. The Pivot Table aka Matrix in Power BI, is how people have been used to looking at data for years. This has been quite a sticking point for many business leaders when reviewing Power BI dashboards. I’ll present some data using a map or bar chart and I’ll usually get the, “Where’s the table of data?” This will prompt an additional tab inside the Power BI document with a large data table. Presenting headers in that large table or matrix has always been a challenge because the headers don’t word wrap. Seeing Microsoft listening to people’s feedback and implementing header word wrap and other features is refreshing.
For this tutorial we will be working with a dataset that I found from the FBI titled Crime in the United States. I chose this data set based on the flurry of media talking about the current President’s comments about crime. Before we move on, let me assure you this will not have any politics in this tutorial. Therefore, it will be safe to read on.
Open up PowerBI Desktop, Click the Get Data button on the Home ribbon and select Blank Query. Click Connect to open the Query Editor. On the View ribbon clickthe AdvancedEditor button. While in the Advanced Editor paste the following code into the editor window, click Done to complete the data load.
Note: If you need some more help loading the data follow this tutorial about loading data using the Advanced Query Editor. This tutorial teaches you how to copy and paste M code into the Advanced Editor.
let
Source = Excel.Workbook(Web.Contents("https://powerbitips03.blob.core.windows.net/blobpowerbitips03/wp-content/uploads/2017/02/US-Crime-Data.xlsx"), null, true),
#"US Crime Data_Sheet" = Source{[Item="US Crime Data",Kind="Sheet"]}[Data],
#"Promoted Headers" = Table.PromoteHeaders(#"US Crime Data_Sheet", [PromoteAllScalars=true]),
#"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"State", type text}, {"Area", type text}, {"Violent Crime", Int64.Type}, {"Murder and Non-negligent Manslaughter", Int64.Type}, {"Robbery", Int64.Type}, {"Aggravated Assault", Int64.Type}, {"Property Crime", Int64.Type}, {"Burglary", Int64.Type}, {"Larceny Theft", Int64.Type}, {"Motor Vehicle Theft", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"State", "Area"}, "Attribute", "Value")
in
#"Unpivoted Other Columns"
Before you exit the query editor Rename the query to US Crime. It should look similar to the following:
On the Home ribbon click Close & Apply to load the data into the data model.
Lets add a little color to the Page in the form of a map. Inside the Visualizations pane click on the Shape Map visual. Add the appropriate fields as shown in the image below.
We added this map as to make our page look pretty as well as, we can now click on each state and use this as a filtering mechanism.
Next, add the Matrix visualization which is found on the Visualizations pane. Add the fields shown in the image below.
To illustrate the wrapped row headers as described in the Power BI blog simply hover your mouse over the header until a double arrow appears. Then left click on the mouse to select the edge of the Area column.
Drag the edge of the Area column left until it covers some of the text of the row labels, see below for example.
Next, in the Visualizations pane click on the Paint Roller and expand the section labeled Row headers. In the Row headers section toggle the Word wrap switch to On.
After turning the Word wrap on you’ll notice that row headers did not word wrap. This is because the row headers have a caveat. The word wrap in rows will only work if row grouping is long enough to accommodate the word wrap. To illustrate this, add the State field underneath the Area field in the Rows section in the Visualizations pane.
We can now see by adding the States after the Area field that the Area Cities Outside Metropolitan Areas now has enough room to word wrap. An important observation with the row headers word wrap is that the word wrap will be affected by other filtering selections on the visual page. For example if I only select the state of Texas the row header for Area does not have enough room and therefore it is shortened and the “…” appears.
When I was first exploring the Matrix row Headers Wrap I was quite confused on how I was able to actually make the headers wrap. After playing around with the feature a while I was able to figure out the functionality. Thanks for following along, see that wasn’t so political. Now you can take this wonderful knowledge back to your workplace and make promises you can keep (OK, there it was, insert political jab).
If you liked this tutorial please be sure to share. Also if you want to know more about me you can visit my About page and follow me on twitter or Linkedin for updates.
The long awaited PowerBI Desktop release is here. I’d like to point out a couple of key features that will help you improve your reports. First, the addition of word wrap on row headers. The tutorial for working with row headers is found here. A second feature that will help beginner users is the addition of two new Quick Calcs. The Quick Calcs allow you run calculations within a visual without the need to write a DAX measure. It’s nice to see some of the more common calculations being added as standard features.
For the full release notes from Microsoft follow this link.
Quick Calculations:
For other great Power BI videos click the image below: