![]() ![]() The minimum possible average sales is $100,000 and we've set the maximum as $250,000. ![]() Our goal is $200,000 and represented by the location of the needle. In the example above, we are a car retailer, tracking our Sales team's average sales per month. All possible values are spread evenly along the arc, from the minimum (left-most value) to the maximum (right-most value). And the value that represents that progress is shown in bold inside the arc. Progress toward that goal is represented by the shading. The goal, or target value, is represented by the line (needle). Gauge chartsĪ radial gauge chart has a circular arc and displays a single value that measures progress toward a goal. But typically, the first stage, the "intake" stage, is the largest.įor more information, see Funnel Charts in Power BI. A pear-shaped funnel is also useful - it can identify a problem in the process. 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. At a glance, the shape of the funnel conveys the health of the process you're tracking.Įach funnel stage represents a percentage of the total. One example is a sales process that starts with leads and ends with purchase fulfillment.įor example, a sales funnel that tracks customers through stages: Lead > Qualified Lead > Prospect > Contract > Close. Funnel chartsįunnels help visualize a process that has stages, and items flow sequentially from one stage to the next. The only difference is that the center is blank and allows space for a label or icon.įor more information, see Doughnut charts in Power BI. They show the relationship of parts to a whole. Doughnut chartsĭoughnut charts are similar to pie charts. ![]() This makes it a valuable tool for ad hoc exploration and conducting root cause analysis. 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. It automatically aggregates data and enables drilling down into your dimensions in any order. The decomposition tree visual lets you visualize data across multiple dimensions. To check whether one measure meets the target which is defined by another measure.įor more information, see Combo charts in Power BI.To illustrate the correlation between two measures in one visual.To compare multiple measures with different value ranges.When you have a line chart and a column chart with the same X axis.Combo charts can have one or two Y axes, so be sure to look closely. Combining the two charts into one lets you make a quicker comparison of the data. Combo chartsĪ combo chart combines a column chart and a line chart. Sometimes a single number is the most important thing you want to track in your Power BI dashboard or report, such as total sales, market share year over year, or total opportunities.įor more information, see Create a Card (big number tile). Single number cards display a single fact, a single data point. Multi row cards display one or more data points, one per row. Bar and column chartsīar charts are the standard for looking at a specific value across different categories. For example, data that represents profit over time can be plotted in an area chart to emphasize the total profit.įor more information, see Basic Area chart. Area charts emphasize the magnitude of change over time, and can be used to draw attention to the total value across a trend. The basic area chart is based on the line chart with the area between the axis and line filled in. Visualizations in Power BIĪll of these visualizations can be added to Power BI reports, specified in Q&A, and pinned to dashboards. ![]() Feeling creative? Learn how to create and add your own visuals to this community site. We'll be adding new visualizations, stay tuned!Īnd check out the Microsoft AppSource, where you'll find a growing list of Power BI visuals you can download and use in your own dashboards and reports. This article lists visualizations available in Power BI. ![]()
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