Key Points in Power BI Custom Visual Capabilities
Microsoft Power BI offers a good set of in-built visuals such as line chart, bar chart, funnel chart, KPI, map, pie chart, donut chart, etc. You can access and use these pre-packaged visuals from the Visualization pane in Power BI Desktop. These pre-packaged visuals might prove to be enough in most cases and fulfil your requirements in creating a report in Power BI. However, there will be times when you’ll have a hard time finding the right fit to graphically represent your data. In this case, Addend Analytics can help you select from rich library of custom visuals, import to Power BI Desktop, and use as per your industry requirement.
Top 3 Types of Power BI Custom Visuals
The custom visual files (.pbiviz) contain the code to run custom visuals in your Power BI app. Custom visual codes are created by developers and packaged in custom visual files with .pbiviz extension. Customers or report creators save these files to their computers and use them in Best Power BI reports. However, one crucial point to remember is that the custom visual you’re importing must come from a reliable source. There should be no security or privacy risks in the custom visual.
Microsoft and its community members have tested and approved creative images for the Marketplace. AppSource is where power bi custom visualization is created and uploaded. This is done as a community service to help Power BI customers, who can utilize these custom visuals to explore new areas of their data. Connect with us to learn how to import custom visuals from Marketplace and AppSource. Some Microsoft images are subjected to considerably more stringent quality and risk testing. Certified Visuals are those that have passed such examination. These visualisations also have some extra features, such as email subscriptions, PowerPoint export, and so on.
Overview of Custom Power BI Visuals
A scatter chart always has two value axes to show: one set of numerical data along a horizontal axis and another set of numerical values along a vertical axis. The chart displays points at the intersection of an x and y numerical value, combining these values into single data points. Power BI may distribute these data points evenly or unevenly across the horizontal axis. It depends on the data the chart represents.
Pie charts show the relationship of parts to a whole. It’s utilized to present the whole data composition in parts. Every pie chart component is represented in percentages, and the sum of all parts must equal 100%.
Addend Analytics’ Report designers can create a Power App and embed it into a Power BI report as a visual. Consumers can interact with that visual within the Power BI report. You just show your raw data, and we will recommend you the designs.
Ribbon charts show which data category has the highest rank (largest value). Ribbon charts are effective at showing rank change, with the highest range (value) always displayed on top for each time period.
The decomposition tree visual lets you visualize data across multiple dimensions. It automatically aggregates data and enables drilling down into your dimensions in any order. It is also an artificial intelligence (AI) visualization, so you can ask it to find the next dimension to drill down into based on certain criteria. This makes it a valuable tool for ad hoc exploration and conducting root cause analysis.
Doughnut charts are similar to pie charts. They show the relationship of parts to a whole. The only difference is that the center is blank and allows space for a label or icon. It can be utilized to present the whole data’s composition in proportions. It’s practical when needed to show the different proportions making up the final value.
These are utilized to present the process which results in a conversion. These are excellent alternatives when the data is sequential. For example, a sales funnel that tracks customers through stages: Lead > Qualified Lead > Prospect > Contract > Close. At a glance, the shape of the funnel conveys the health of the process you’re tracking. Each funnel stage represents a percentage of the total. So, in most cases, a funnel chart is shaped like a funnel — with the first stage being the largest, and each subsequent stage smaller than its predecessor. A pear-shaped funnel is also useful — it can identify a problem in the process. But typically, the first stage, the “intake” stage, is the largest.
Addend Analytics’ favorite radial gauge chart has a circular arc and displays a single value that measures progress toward a goal/KPI. In the example above, we are a car retailer, tracking our Sales team’s average sales per month. Our goal is 140 and represented by the black needle. The minimum possible average sales is 0 and we’ve set the maximum as 200. The blue shading shows that we’re currently averaging approximately 120 sales this month. Luckily, we still have another week to reach our goal.
Line charts emphasize the overall shape of an entire series of values, usually over time.
Enterprise can use a basic map to associate both categorical and quantitative information with spatial locations. The combination of ArcGIS maps and Power BI takes mapping beyond the presentation of points on a map to a whole new level. The available options for base maps, location types, themes, symbol styles, and reference layers creates gorgeous informative map visuals. The combination of authoritative data layers (such as census data) on a map with spatial analysis conveys a deeper understanding of the data in your visual.
The Smart narrative adds text to reports to point out trends, key takeaways, and add explanations and context. The text helps users to understand the data and identify the important findings quickly.
A table is a grid that contains related data in a logical series of rows and columns. It may also contain headers and a row for totals. Tables work well with quantitative comparisons where you are looking at many values for a single category. For example, this table displays five different measures for Category.
Treemaps are charts of colored rectangles, with size representing value. They can be hierarchical, with rectangles nested within the main rectangles. The space inside each rectangle is allocated based on the value being measured. And the rectangles are arranged in size from top left (largest) to bottom right (smallest).
Treemaps are a great choice:
- To display large amounts of hierarchical data.
- When a bar chart can’t effectively handle the large number of values.
- To show the proportions between each part and the whole.
- To show the pattern of the distribution of the measure across each level of categories in the hierarchy.
- To show attributes using size and color coding.
- To spot patterns, outliers, most-important contributors, and exceptions.
A combo chart combines a column chart and a line chart. Combining the two charts into one lets you make a quicker comparison of the data. Combo charts can have one or two Y axes, so be sure to look closely.
Combo charts are a great choice:
- When you have a line chart and a column chart with the same X axis.
- To compare multiple measures with different value ranges.
- To illustrate the correlation between two measures in one visual.
- To check whether one measure meets the target which is defined by another measure.
- To conserve canvas space.
The basic area chart is based on the line chart with the area between the axis and line filled in. Area charts emphasize the magnitude of change over time, and can be used to draw attention to the total value across a trend. For example, data that represents profit over time can be plotted in an area chart to emphasize the total profit.
Bar charts are the standard for looking at a specific value across different categories.
Why partner with Addend Analytics for Power BI Custom Visuals?
We have made analytical Dashboards and Power BI Custom visual reports for 100+ customers across the US, Canada, UK, and Western Europe.
We provide a milestone-based, low-risk, fixed-fee solution. So, if we don’t deliver as per the agreed project milestones, we don’t get paid. Let’s get it straight! It’s NOT our model to provide a $30k project budget – that eventually gets delayed by months; has bugs during production use, is costly to add new features, has architecture scalability challenges later, and whose ongoing support is even expensive than the original implementation. This is the exact reason why we encourage you to do a free POC with us!
We provide Managed Services Agreement (MSA) contract to our clients where they can leverage our resources for further continuing months for any small upgrades, customization, etc.
This is our strongest point, and we boast about it. While sharing the proposal, we will submit you the list of folks working on the project and we encourage all our clients to explore our members’ Linkedin profiles and see the kind of work they have done and the experience they have! Please feel free to explore their blogs too! They all are Microsoft certified and some of them are even on their way to becoming MVP!
We, therefore, recommend doing a free POC so you get a taste of our working style. Secondly, please take a look at our customer base, testimonials, and references. We can even call them on a call with you if you need. You can have a background check and that will speak all.
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