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We have an exciting release this month. On top of incremental improvements for several of our recent released features, such as the key influencers visual and our new filter pane, we also have a new performance analyzer pane. This new pane lets you get a behind the scenes view of what's happening when your report is loading, which can help you optimize your report and improve your end user's experience.
Here's the complete list of May updates:
You can open this pane through the View tab in the ribbon.
When you first open the pane, you'll see an empty pane, and all you need to do is select Start Recording to see what queries are being run.
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Once you start recording, any action that runs a query, such as changing a page, refreshing the visuals, or cross-highlighting, will populate the pane with information. You'll see each visual logged in load order with its corresponding load duration.

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You can expand a specific visual's log to see how the time was spent divided out in three different sections:
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You can also select copy query to add the specific DAX query we ran for that visual to your clipboard.
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You can also export all the query information to a JSON file to analyze in other tools.
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Lastly, if you want to dig into one slow loading visual specifically, while the performance analyzer is running, there will be an icon in the visual header that will let you refresh just that specific visual to see the stats in the pane.
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The Performance analyzer is currently available in Power BI Desktop only and doesn't show all the time spent for R, Python, or Key Influencers visuals.
Watch the following video to learn more about the performance analyzer pane:
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You can also change the sort direction from the "…" menu next to the header of a given section of the filter pane.
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{"name": "FilterPaneTheme","visualStyles": {"*": {"*": {"outspacePane": [{"backgroundColor": {"solid": {"color": "#999999"}},"foregroundColor": {"solid": {"color": "#374649"}},"transparency": 50,"titleSize": 35,"headerSize": 8,"fontFamily": "Arial","border": true,"borderColor": {"solid": {"color": "#374649"}}}],"filterCard": [{"$id": "Applied","transparency": 0,"backgroundColor": {"solid": {"color": "#AFB5B6"}},"foregroundColor": {"solid": {"color": "#374649"}},"textSize": 15,"fontFamily": "Arial","border": true,"borderColor": {"solid": {"color": "#ffffff"}},"inputBoxColor": {"solid": {"color": "#C8C8C8"}}},{"$id": "Available","transparency": 40,"backgroundColor": {"solid": {"color": "#CCCCCC"}},"foregroundColor": {"solid": {"color": "#ffffff"}},"textSize": 10,"fontFamily": "Arial","border": true,"borderColor": {"solid": {"color": "#123456"}},"inputBoxColor": {"solid": {"color": "#777777"}}}]}},"page": {"*": {"outspace": [{"color": { "solid": { "color": "#000000" }}}]}}}}
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While your focus is on a cell, the screen reader will read off the relevant information, and you can use the follow keyboard shortcuts to navigate:
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To help differentiate between the two, you can now customize the position so the labels for the PurchAgain line show below it and the labels for the NSAT show above it.
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Once you do that, it's a lot clearer which label goes with which line.
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Watch the following video to learn more about the line data label updates:
Watch the following video to learn more about the KPI visual update:
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The visual's ML model will decide how to bin the data to find the most influential segments of your data. It will also decide to not bin a numeric column if it detects a strong linear relationship between the column and the target of the analysis. In this case the visual will instead show a scatter chart demonstrating the correlation.
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You can also control the drill visual's secondary color and reference line color.
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Watch the following video to learn more about the updates to the Key Influencers visual:
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Watch the following video to learn more about turning off auto-date tables:
This month, the visual has a major update that allows you to geocode with more accuracy! The first and most important step when you are analyzing data spatially is geocoding. It converts your addresses and place names into coordinates on a map. Esri's geocoding engine provides precise, accurate and reliable results for over 135 countries in key markets of the world including North America, Europe, Australia, Israel, India, Brazil and Japan. To achieve this, Esri works with international distributors and partners in countries with complex addressing systems including Japan, Thailand, India, and Israel to provide the most up-to-date data.
However, geocoding can fail if addresses in your data are misspelt. For example, if your data has "Los Angleles" instead of "Los Angeles", you will not get any results. To help you deal with such situations, the visual now has the added ability to easily spot addresses that fail to geocode for any reason as "errors". You can then simply copy these errors out of the visual and return to your data source to find and fix these errors.
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In addition, the Esri team has also added a much faster map loading experience when you add a map visual to the report.
To learn more about ArcGIS Maps for Power BI, you can visit their Get Started page for step-by-step instructions. For quick demos, check out their YouTube page. You can also join the ArcGIS Maps for Power BI community to find answers to all your questions, share ideas, and get the latest updates.
Watch the following video to learn more about the ArcGIS maps for Power BI improvements:
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This adds more control and flexibility into the map and allows you to decide whether you want to give more emphasis to your own data or to the native mapping data.
You can control this option through the Label position dropdown in the Viz Settings card of the formatting pane.
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The option can be found under each layer card in the formatting pane.
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Adding a legend to your map makes it easier for your end users to understand the scale and distribution of the data you're mapping.
Watch the following video to learn more about the Mapbox visual improvements:
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With this visual, you can show the relationships between your KPIs and drivers in a decision tree format and then simulate any drivers in parallel to see the impact immediately. ValQ supports 3 different modes to build out your tree. The first mode, geared towards beginners, is called a dynamic tree and is entirely built on the data coming from your model. You can start building a tree in this mode by selecting "Create a Simple Dynamic Tree" from the left pane once you've added data to the visual.
When building out the visual this way, the first fields you need to add to the visual are your measures, which will go in the Value bucket. The first field in the value bucket will be what you are measuring and simulating changes on, and the second is the benchmark you are comparing against. The Category bucket are the different categories you want this data broken out by and will be the nodes of the tree. Lastly, you'll add a time dimension to the Time Period bucket, which will allow you to see the trends for your two measures over time.
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Now you can expand and collapse the nodes of your tree by clicking on the carets on the right edge of each node. As the tree grows you can zoom and pane to get the best view of the data.
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You can also simulate what-if scenarios by dragging the slider you get when hovering over a node.
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When you do this, all the nodes higher in the tree will update to reflect your change.
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As you change more and more leaf nodes you can see all the applied changes on the top of the visual You can also remove them easily here as well using the trash can icon.
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When you click on nodes of the tree, you get a detailed pop-up giving you more information about that node. It includes information since as the trend, a waterfall chart showing on the simulated changes impact the results, and a comparison of the measures you are comparing in the visual.
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You can also click on a button for any node and see the data for that node across the time period and how those numbers are impacted by the simulation.
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You can also click the pencil icon from that dialog to edit the simulation manually as well.
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The pane on the left allows you to save multiple different simulations and compare them. You can also set the simulation period, change how the values are displayed and change the visual's layout.
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When you compare multiple scenarios, you can see the differences between each scenario and quick jump to that scenario from this view.
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You can also visualize the same data as a table well with sparklines if that's easier for you navigate.
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You can also use the yellow pencil icon to open and close more editing options, which include things like changing the status bar colors and adjusting the colors of the tree itself.
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There are two other modes to build out your tree as well.
The second mode allows you to build out a tree from scratch, which allows you to build the tree node by node, configuring each one, either based on the data from your model or any custom calculation you want.
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Alternatively, in this mode you can use the "Quick Edit" option that allows you to edit all the nodes in one view.
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The third mode, Import an Advanced Model, allows you to either import a tree that you exported from a previous tree visual or import data from an Excel template (which you can get by emailing support@valq.com). The template is similar to the "Quick Edit" experience you can get through the second mode and is an easy way to build out the constraints and guidelines for the tree. It's ideal for an analyst who can sit with a business user, write up the requirements in the Excel template, and just import it to automatically get a tree that meets your needs.
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The visual comes with sample trees you can test out, and Visual BI, who made the visual, is adding more getting started content to their website as well.
Ready to try ValQ out? Download the visual from AppSource.
Watch the following video to learn more about the ValQ visual:
Some of the core features of this visual include:
Watch the following video to learn more about the Advanced Graph visual:
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Find this visual on AppSource.
Watch the following video to learn more about the Craydec Control visual:
Try out this visual on AppSource.
Watch the following video to learn more about the Walker Animated Pictogram visual:
Some key features of this visual include:
Watch the following video to learn more about the Treemap Bar Chart visual:
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That’s all for this month! We hope that you enjoy these updates and all the updates of the past year. Please continue sending us your feedback and don’t forget to vote for other features that you’d like to see in the Power BI Desktop. For any preview features, you can always give us your feedback in our active community. You can also download the .pbix file I used, and if you’re looking for a similar design for your reports, I was using the Microsoft layout from PowerBI.Tips.
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