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Visuals, visuals, visuals. It is (almost) all about visuals this month with loads of new visuals and updates to existing visuals. Also, we are helping users getting started with the introduction of canvas watermarks. Power BI is getting a shiny new icon and we are adding a dismiss option to the Power BI Desktop splash screen. The personalization of visuals is now generally available and we are introducing dynamic M query parameters in preview. On the mobile side, we are (amongst others) adding support for notch displays and on the Service, we have some updates about the 'new look' experience.
After 10 years, support for Windows 7 ended on January 14, 2020. In line with this, we will be stopping support for Power BI Desktop on Windows 7 on Jan 31st 2021. After that, Power BI Desktop will only be supported on Windows 8 and newer. The January 2021 release of Power BI Desktop Optimized for Report Server will be supported as per the Modern Lifecycle Policy i.e. supported until the next release (currently scheduled for May 2021), after which it will only receive security updates until January 2022, after which support will stop.
We are also making a change to the version of .NET that is required to run Power BI Desktop. Starting from this release you will need to have .NET 4.6.2 or greater installed. This is installed by default with Windows 10 and for older versions of Windows the Power BI Desktop installer will launch the .NET installer for you.
Here is the full list of October Power BI updates:
https://www.youtube.com/watch?v=LveNuQqV5xk
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Canvas_watermark_showing_how_to_build_visuals_with_your_data
We have also added our very first sample dataset loaded directly into the Power BI Desktop! Now new users do not have to fish around to find a sample dataset to get started. By simply clicking on “try a sample dataset” from the canvas watermark new users can choose to follow along with our sample dataset tutorial or load the sample dataset directly to begin building visuals.
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Canvas_watermark_showing_two_ways_to_use_sample_data_take_a_tutorial_online_or_e
Watch the following video to see this in action:
Now this month, we are excited to announce that the feature is now generally available!
This general availability release includes:
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Drag and drop support
We now support drag and drop fields within the same visual property and across different visual properties. For example, this can be used to quickly move field in the legend to the axis of a visual:
Drag_and_drop_is_now_supported_for_personalize_visuals
This can also be used to quickly reorder the columns of a table or matrix:
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First-time coachmarks
We’ve also included contextual coachmarks to help first-time users of this feature.
When a user first lands on a report page with a visual that can be personalized, they will see the following coachmark on the Personalize this visual icon:
Coachmarks_for_personalize_this_visual
Additionally, once a user makes their first personalization, they will see the following coachmark on the Bookmarks button, letting them know how they can save their personalized view:
Coachmark_explaining_how_to_use_bookmarks_to_store_personalized_visuals
“Don’t summarize” option
We have also added the ability for end-users to change the default aggregation to Don’t summarize. For example, in this table visual you do not want to aggregate a column but instead see the raw values for that column:
Don_t_summarize_option_showing_in_personalize_visuals
Enable/disable setting at page-level
Previously, report authors could turn this feature on or off either at a report or visual level. Now we’ve added the ability to turn on or off this capability for all the visuals on a given page. You’ll find this new option in the page settings:
Personalize_visual_toggle_at_the_page_level
Here is an example of a report that can be explored without ever leaving Microsoft Teams:
Personalize_visuals_showing_in_Microsoft_Teams
Coming soon this month, we will also add a configuration option for users that want to enable the ability to save the personalized view using bookmarks. Here is a sneak peak of the capability:
Personalize_views_can_be_saved_as_a_bookmark
Note that organizational embed support does not currently include Publish to Web (Public).
For more details check the embedded section of this blog or watch the video below:
You’ll find this option in the context menu ( . . . ) of the visual header, just like a standard visual:
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How to get started
To get started you will need to first turn on the preview switch: Dynamic M Query Parameters.
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As a prerequisite for this feature, you will need to have a valid M Query Parameter created and referred in one or more Direct Query tables.
Note: The following DirectQuery sources are not supported:
Then you will need to fill out the following information about the Parameter:
Power_BI_October_2020_Feature_Summary
Once you have created the parameters, you can now reference them in M query. To modify the M Query you will need to open the Advanced editor while you have the Query (that you want to modify) selected:
Power_BI_October_2020_Feature_Summary
Then, you will need to reference the parameters in the M Query:
let
selectedRepoNames = if Type.Is(Value.Type(RepoNameParameter), List.Type) then
Text.Combine({"'", Text.Combine(RepoNameParameter, "','") , "'"})
else
Text.Combine({"'" , RepoNameParameter , "'"}),
KustoParametersDeclareQuery = Text.Combine({"declare query_parameters(", "startTime:datetime = datetime(", DateTime.ToText(StartTimeParameter, "yyyy-MM-dd hh:mm"), "), " , "endTimep:datetime = datetime(", DateTime.ToText(EndTimeParameter, "yyyy-MM-dd hh:mm:ss"), "), ", "repoNames: dynamic = dynamic([", selectedRepoNames, "]));" }),
ActualQueryWithKustoParameters = "GithubEvent | extend RepoName = tostring(Repo.name) | where RepoName in(repoNames)| make-series count() on CreatedAt from startTime to endTimep step 12h by RepoName | evaluate python(typeof(*), 'result = df') | mv-expand count_ to typeof(long), CreatedAt to typeof(datetime)",
finalQuery = Text.Combine({KustoParametersDeclareQuery, ActualQueryWithKustoParameters}),
Source = AzureDataExplorer.Contents("demo11.westus", "GitHub", finalQuery, [MaxRows=null, MaxSize=null, NoTruncate=null, AdditionalSetStatements=null])
in
Source
Now that you have created the parameters and referenced them in the M Query, next, you will need to create a table with a column that provides the possible values available for that parameter. This will allow it such that the parameters are dynamically set based on filter selection. In this example, we want our StartTime Parameter and EndTime Parameter to be dynamic. Since these parameters are requiring a Date/Time parameter, I want to generate date inputs that can be used to set the date for the parameter. To start I will create a new table:
Power_BI_October_2020_Feature_Summary
Here is the first table I created for the values for StartTime Parameter:
StartDateTable = CALENDAR (DATE(2016,1,1), DATE(2016,12,31))
Here’s the second table I created for the values for EndTime Parameter:
EndDateTable = CALENDAR (DATE(2016,1,1), DATE(2016,12,31))
Now that the tables with the Date field has be created, we can bind each field to a parameter. Binding the field to a parameter means that as the selected value for the field changes, this value will get passed to the parameter and update the query where the parameter is referenced. So, to bind field, go to the Modeling tab, select the newly created field, and go to the advanced properties:
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Select the dropdown under bind to parameter and set the Parameter which you want to bind the field to:
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This example parameter is for a single-select value (setting the parameter to a single value), so we will want to keep Multi-select set to No, which is the default:
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If your use cases require multi-selection (passing multi-values to a single parameter), you will toggle this above switch to Yes, and you will need to ensure that your M Query is setup properly to accept multiple values in the M query.
And finally, you can now reference this field in a slicer or as a filter:
Note that if the mapped column is set to No for Multi-select, you will need to use either a single select mode in the slicer or require single select in the filter card. For more details on this new feature, check out our documentation or watch the video below:
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With this connector, we are making available two different views for the same data:
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The all view includes all user created and system defined columns.
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You can opt in to the new connector by selecting "2.0 (Beta)" under Implementation when connecting to SharePoint Online List.
We look forward to your feedback.
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We’ve made navigation updates to give you more space to work with your content, provided options for report authors to configure their page navigation, updated the action bar for quicker access to common actions, and more.
The ‘new look’ is close to being the default experience for all users at the end of October, but we’d like to hear more feedback before then and are inviting tenant admins to switch your users to the ‘new look’ exclusively. Starting late September, look for an admin setting to appear in your Admin portal where you can enable the ‘new look’ for all your users and remove the old and new look toggle from the header.
More information on ‘new look’ updates and release plan in this blog post.
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Personal bookmarks now available for embed for your organization
Personal bookmarks allow report consumers to create their own set of bookmarks for each report by capturing various states of a report page.
Now, report consumers can use the same personal bookmarks they are using on Power BI Service when consuming embedded analytics.
Read more about personal bookmarks for embed for your organization scenario in the upcoming developer blog.
Personalize visual on embedded scenarios
Personalize visual empower your end-users to explore and personalize visuals all within the consumption view of a report. When you turn on personalize visual for a report, the option to personalize a visual will also be available when consuming embedded analytics.
Read more about personalize visual and how to save different views for your users in the upcoming developer blog.
Report action bar and Persistent filters are coming to embed for your organization
Coming up in the month of October, when embedding for your organization, consumers will be able to use the Power BI report action bar. In addition, persistent filters which allow your users to retain their report state will also be available as part of it. The same state will be shared both for consuming the report on embedded analytics and on Power BI Service.
Power_BI_October_2020_Feature_Summary
Read more about Persistent filters on embed for your organization.
Read more about report action bar for embed for your organization scenario in the upcoming developer blog.
To learn more, check out our documentation.
Clustered Stacked Bar Chart by DEFTeam Solutions Pvt Ltd
Hierarchical Bar Chart by Excelnaccess.com
HTML Content by Daniel Marsh-Patrick
process.science Process Mining by process.science GmbH & Co. KG
Overview by CloudScope
Image by CloudScope
Timeline by CloudScope
User List by CloudScope
https://youtu.be/ARYY6M16NRA?t=4
Since reporting space is always very precious, we used a scientific method to find a way to save it. The Zebra BI team developed an extremely powerful new algorithm to optimize the layout of charts in small multiples - all within one single visual.
In older versions of Zebra BI, a big chart could already span over two smaller charts. Now, however, it can span over multiple charts, as many as can fit! The spanning of bigger charts can now happen in multiple columns, while before it could only happen once. The exact allocation of space has also been improved, resulting in an extremely optimized display of small multiples where practically no space is wasted.
This feature is especially useful in situations where you have big differences in values between data categories.
It gets better. The new ‘Automatic’ layout works with all Zebra BI charts and all their settings.
You can change the chart type and set the display of charts to Top N with all other charts automatically aggregated to "Others" category.
Download this visual from AppSource or, for the full list of new features, please visit Zebra BI for Power BI – 4.3 Update.
https://youtu.be/ARYY6M16NRA?t=210
There are many new functionalities in Zebra BI Tables visuals, from the ability to visualize additional up to 20 columns to the whole new concept of Scaled groups within your tables and much more! Keep scrolling to see all of them, along with practical examples.
https://youtu.be/ARYY6M16NRA?t=1062
There are many other important new features and improvements in the Zebra BI Tables visual that will improve the design and usability of your Power BI reports and dashboards, so make sure you read the full product update and check out the video here: Zebra BI for Power BI – 4.3 Update. You can also download this visual from AppSource.
Power_BI_October_2020_Feature_Summary
A lot of improvements have been made and new functionality has been added:
https://www.youtube.com/watch?v=bI7R__RmLmQ&feature=youtu.be
Download this visual from AppSource, or visit www.adwise.cz/adwise-roadmap
New key features for every report creator to check out are:
Power_BI_October_2020_Feature_Summary
We also suggest checking out this Drill Down Graph PRO use case, where the new hierarchical layout of the graph is used to visualize the structure of an international company. Read more about this use case on ZoomChart’s blog or view the PBIX.
https://www.youtube.com/watch?v=XC_qnrSYg8o
xViz has released a new PBI Certified version (1.1.6) of the Bullet Chart which supports several new use cases such as single KPI as well as the IBCS improvements to the bullet chart. The bullet chart as proposed by Stephen Few is ideal for visualizing KPIs and track metrics. For effective visualization and practical applications the IBCS institute recommends improvements to the standard bullet chart such as highlighting the variances between actual and target with the help of variance bar and normalizing target values to facilitate visual evaluation.
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Seven prebuilt templates have been added where users can select the desired templates and quickly get started without spending time navigating through the property sheet. Improved UX with data label and comparison band enhancements for better positioning and formatting capabilities for newly added Single KPI use case. Other notable features include Target section enhancements, sorting based on variances and the Analytics section.
HTML Content by Daniel Marsh-Patrick
Funnel / Pyramid Chart by xViz
Individual Control Chart by PQ Systems
Column Chart With Upper and Lower Bounds by 3AG Systems
Radar Chart by MAQ Software
Drill Down Pie PRO by ZoomCharts
The Editor’s picks can be found in the in-product AppSource in Power BI Desktop and service under Editor’s picks category.
To experience the simplified installation go to COVID-19 US tracking template app check out the new simplified installation experience.
Power_BI_October_2020_Feature_Summary
We also updated the configuration stage: we have added a link to app’s documentation so it is easy to learn how to configure the app. Next to that, we improved the behavior for required parameters and introduced example text to make sure it is clear which parameters require user attention. Finally, we extended the support for list parameters allowing builders and installer to use list parameters.
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Power_BI_October_2020_Feature_Summary
To find template apps from Power BI Desktop, head to Get Data and notice the new link to discover Template Apps.
Once you finish installing and connecting the data to the template you can build your own report by connecting to the dataset just like any other dataset in Power BI.
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Being able to build template apps using supported DQ data sources opens up a host of possibilities for offering BIG data analytics from sources such as Azure Data Explorer, Dynamics 365, SQL, and many others (see the complete list here).
If you want to contribute to the Data Stories gallery, for October and November, it’s not too late! The theme for October is Power BI and Excel, better together! And the theme for November is Accessibility. We will be looking out for those reports that include Accessibility features, and who knows, you could win some cool Power BI swag!
You can find this setting by going to File > Options and settings > Data source settings:
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Then you select the data source that you want to export as a PBIDS:
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When you select Export PBIDS, we will automatically generate the PBIDS file which you can rename and save in your directory and share with others. Optionally, if you open the file in a text editor, you can modify the file further, including specifying the mode of connection in the file itself.
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Before we jump to the next feature, we also want to recognize and thank Caroline Anderson for working on this feature in the summer as an intern!
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That is all for this month! Please continue sending us your feedback and do not forget to vote for other features that you would like to see in Power BI! We hope that you enjoy the update!
If you installed Power BI Desktop from the Microsoft Store, please leave us a review: https://aka.ms/pbidesktop-review.
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