Among hundreds of visuals in Power BI library it’s not an easy job to come up with just 10 visuals. If the selection has to be done then it should be comprehensive and should also reflect the broad analytics part.
The selected visuals below is good enough to develop an effective analysis in Power BI report of any kind.
Complexity level of 10 requires more workaround on the visual setup and its features and below is just the opposite.
10. Funnel
Funnel chart is simple and clear representation of the values under multiple categories. One great benefit is user would be able to visualize the percentage level of the data.
Complexity level: 3
9. Sparkline by OKViz
It’s a PBI Certified free custom visual available in Microsoft appsource. You can access this visual by using school or work account. Mostly used for the analytics purpose Sparkline comes handy in many ways. Sparkline is mostly used to visualize trend data and easily gets fit almost anywhere on the report.
Complexity level: 3
8. Chart
Tables are often used as an alternative to the other visuals in Power BI. Users can include as many number of columns to avoid the complexity on the report. For the paginated report table is almost unavoidable. Data in the tables can have dynamic features such as conditional formatting which makes table the visual of its own.
Complexity level: 3
7. Key influencers
For in-depth analysis of the data this could be useful. Key influencers analyze the data under the category it’s been provided for and presents the users with some interesting results.
Complexity level: 7
6. Decomposition Tree
It is new yet very powerful visual in Power BI. Decomposition Tree visual is also known as AI Visual in Power BI. This visual breaks the data into multiple dimensions and lets the user drill down the data under the multiple categories. People also relate this visual as a hierarchy visual.
Complexity level: 5
5. Donut Chart
Donut chart is popular because of its wide use among the corporate world. Also, varieties of Label style makes it more defining. The Pre-defined calculations on the label makes it easy to drag the data and do the analysis based on different criteria.
Complexity level: 4
4. Map
It is one of the very strong visual to represent the location based data. Map visual by default comes with Power BI. Depending on the broad data category it’s obvious for map to get confused on showing the data in right place. More chances are there could be the place/city name in same/different countries. So, if your data is not pinning at the right place in your map visual then you need to do some extra workout on your data.
Complexity level: 7
3. 100% Stacked Bar Chart & 100% Stacked Column Chart
These are highly preferred charts in Power BI for analytics. Users won’t have to go through the hassle of creating the DAX for calculating the percentage(%) of total on row basis for various categories. They can simply drag the value they want to analyze in the value field and category in the legend.
Complexity level: 5
2. Line & Clustered Column Chart
Line & Clustered Column Chart is the prime visual in Power BI. It is user friendly and simple to use. The combination of Line and column chart makes it more dynamic and more defining. This chart can take multiple line values. Overall chart is defined by the column series which also acts as the legend. Flexibility to control and manage secondary axis and alignment is another good feature of this chart. If the user can manage to parse the data in right way, this chart can also do the job of 100% stacked bar and column chart.
Complexity level: 5
1. Card & Slicer
Slicer and Card are imperative visuals on Power BI. They are simple, easy to use, and defining. These visuals can be spotted on almost any Power BI report or dashboard. They also play important role in verifying the data during the report creating process. Slicer and Card made it to number 1 visual because it’s simple, powerful, and prompt in nature.
Complexity level: 2
Useful Links
Visualization types in Power BI
Power BI Desktop July 2020 features
