“Visualization gives you answers to questions you didn’t know you had.”
– Ben Schneiderman
Microsoft Power BI is a world-class data visualization tool to help you map your data points in different ways. Power BI visuals can uncover hidden patterns, compare trends, communicate sense out of the trillions of rows of data generated daily, and assist you in tactful decision-making.
This ultimate guide brings you the best Power BI visuals to better your reports. Using Power BI visualization tools, you make data understandable for all – Finance, Marketing, Sales, Support, and so on. Remember, the better you convey your data, the easier it will be for people to follow, and they’ll thank you for that. This also contains Power BI visuals examples to illustrate how it can be used effectively.
What is Power BI Visual?
Companies today receive tons of data, and data analysis is a common regular-day challenge. Power BI visuals act as translators of your regular data. They convert your information and data beyond organized rows and columns into appealing and easy-to-understand charts. Power BI visuals are effective tools for decision-making since they present information that is quick to understand and infer from.
Using Power BI visuals, decision-makers can, for example:
- Identify areas that need attention or improvement.
- Direct resources and time for low-performance areas before they enlarge.
- Understand customer preferences and product demands.
- Forecast sales columns or purchase rates for the upcoming years.
In this guide, we’ve amassed a chunk of Power BI visuals that can transform your data from not-so-friendly spreadsheets or database tables to interactive reports and dashboards that are easy to comprehend and discuss in meetings.
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What are the Types of Power BI Visualizations?
Here’s our curated list of Power BI Data Visuals that can be used for your data analytics reports and workflow. It also includes the Power BI Data Visualization examples to substantiate the information for you.
1. Charts
A chart is a simple graphical representation of your data. It can be made in profound ways like bars, lines, scattered data points, circular plots, doughnut forms, areas on a plane, etc. Charts make vast information easy to understand and infer from. They compile all your data points into a simple two-dimensional figure that is concise, plain, lucid, and sharable.
Power BI charts come in different shapes and sizes, like:
A. Area Chart
Image Source: EnjoySharePoint
Area charts are modifications of line graphs with colored regions between your lines and axes. They represent a subset of a plane that illustrates changes in your variables over time. The lines using which area charts are made are a collection of your data points.
Area charts are precious for drawing and observing trends over time. They present current trends along with better clarity on previously observed trends. Taking our above example, May saw Sales at $307k, but profits were seen at a record high at $67k. This information can be easily compared with previous years’ by simply importing previous years’ data points, and comparing them.
B. Bar and Column Chart
A bar chart or column chart is a routinely used chart that features rectangular bars or columns to represent numerical data. The length of bars is made in proportion to the values they represent, with the width remaining constant.
These charts help compare different sets of data among different groups, like the number of products manufactured (with multiple subcategories) in different months of the year or profits and discounts offered on your products across different regions.
Power BI offers many customization options that can conceptualize your data in the best bar graphs and column charts possible, as shown in the images below.
Image Source: EnjoySharePoint
Image Source: EnjoySharePoint
C. Line Chart
A line chart or line graph represents a collection of data points as one continuous line. These are useful for tracking variations or trends over time, like monthly sales in a year, gross profit margin over a course of five years, or the number of units delivered with their profit and discount spread across a year.
Image Source: EnjoySharePoint
D. Pie Chart
Pie charts are pictorial representations of data in circular charts or pies. These are usually employed when you want to represent the relationship of parts to a whole.
Pie charts, for example, can represent the distribution of your monthly expenditure across Sales, Marketing, Support, and other departments, or total revenue and average sales total for different products.
Image Source: GoSkills
E. Doughnut Chart
Doughnut charts are similar to pie charts, but with a center cut-out. Just like pie charts, they also represent the relationship of parts to a whole. The empty space at their center allows for better labeling and visualization, and they are better to use than pie charts if you have a large group of items to display.
Image Source: EnjoySharePoint
F. Scatter Plot
A scatter plot or scattergram is a collection of discrete data points on a Cartesian plane. When you have an exhaustive relationship between two variables, scatter plots are the best way to represent your data. Examples of scatter plots include plotting the average profit vs the average of purchases for different regions.
Image Source: Microsoft Power BI
G. Funnel Chart
Funnel charts help outline a process that has multiple connected stages. As an example, here’s a depiction of a business recruitment process in three cities-Chicago, Los Angeles, and New York City, along with the number of applicants shortlisted at each stage of the process.
Image Source: Towards Data Science
Using these Power BI custom visuals, you can streamline your Sales and Marketing processes, like campaign drives, customer reach-out, promotional sales, and many more.
H. Waterfall Chart
Waterfall charts are fantastic Power BI visuals to display running totals. The representation of waterfall charts changes as values gets added or subtracted. Bars in waterfall charts are color-coded to highlight increments or decrements in values across time.
In waterfall charts, the start and end value columns often start on the horizontal axis, while the intermediate values are shown as floating columns. Because of this look, waterfall charts are also known as bridge charts.
Image Source: Excelerator BI
I. Combo Chart
Power BI charts aren’t just limited to single predetermined views of bars and circles, rather you can intermix different charts to combine and display more information from your Power BI visuals.
A combo chart combines two graphs like a bar graph and a line graph to help make:
- Quick comparison.
- Illustrate correlation.
- Compare and check different value ranges.
- Save space.
Power BI comes with two combo charts for users: Line and stacked column and Line and clustered column. Both of these options can be accessed from the Visualizations pane.
Image Source: Microsoft Docs
J. Key Influencers Chart
The key influencers chart displays parameters and their percentage contribution to a cause. As an example, if you would like to chart out what affects a customer review, there will be multiple factors to consider like support quality, service quality, response rate, etc. Key influencers chart finds all associated factors and lists them in the form of a coherent single view Power BI visual.
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K. Ribbon Chart
Ribbon charts are wavy representations similar to stacked bar charts. They order elements and data groups based on which element has the majority of that measure in that particular axis value. These are generally used for quick identification of the highest rank (large values) variables.
Image Source: Microsoft Docs
L. Gauge charts
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A radial gauge chart has a circular arc with a single value being displayed that measures progress toward a goal. The line (needle) represents the goal or target value. The shading represents progress toward that goal. The value in bold inside the arc represents the progress. All possible values are spread evenly along the arc, from the minimum (left-most value) to the maximum (right-most value).
In the given example, you are a car retailer tracking your Sales team’s monthly average sales. Your goal is 200,000, which is represented by the location of the needle. The minimum possible average sales is 100,000 and the maximum is set as 250,000 by you. The blue shading shows that you are averaging approximately $180,000 this month. You still have another week to reach our goal.
Radial gauges are a great choice to:
- Track progress toward a goal.
- Represent a percentile measure, like a KPI.
- Detects the health of a single measure.
- Shows information that can be quickly scanned and understood.
M. Bubble and Dot Plot Charts
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Bubble charts represent data points with bubbles. The bubble size shows the dimension of the extra variable in the data. It can represent data three-dimensionally.
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A dot plot chart differs from a bubble chart in only one way. Here, you can plot numerical and categorical data along the X-axis which you cannot in a bubble chart. It is useful to spot data points that deviate from the norm.
N. Scatter High Density
Scatter high-density charts are free Power BI Visuals that are used to create interactive visuals for high-density data. It uses an algorithm that can eliminate overlapping points. This chart type ensures that all data points are represented in the visuals with clarity.
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2. Maps
Power BI maps are geographical maps that represent continents, countries, states, or cities where your business operates. Using this Power BI visualization, you can track your business performance across demographics, check for any bottlenecks and identify high-yielding areas that your business is missing out on.
You can for instance use Power BI maps to determine how much sales income is generated by each state in the United States, use filters to pore over important details and make apt decisions on time.
Image Source: Microsoft Docs
This is one of the many Power BI visual examples for Maps. In Power BI, you can further explore more options like
A. Filled Map
Filled maps are choropleth maps that use colors to indicate areas in geographical space. The map shades areas in proportion to the values of displayed measurements.
Filled maps make distinctions between your low-performance and high-performance locations, providing you with a quick view using light shades for less-frequent/lower values to dark shades for more-frequent/more values. They can also be used for comparing multiple groups, like knowing the flagship product of the many categories in a certain area.
Image Source: Microsoft Docs
B. Shape Map
When you want relative comparisons without the distractions of text or labels, shape maps should be your preference. Being one of the Power BI visual examples in the map category, shape maps show relative comparisons of states, provinces, and regions on a map using different colors.
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C. Heatmaps & Visual 3D Maps
You can model 3D graphs for your sales or marketing metrics using Mapbox visual. The Mapbox visual can be imported and accessed as a visualization plugin inside Power BI, using which you can create customizable heatmaps, point cluster maps, and graduated circle maps.
There’s another way to make heatmaps in Power BI, using ArcGIS. ArcGIS maps are highly useful for spatial analytics and they provide a much better understanding of your data.
Image Source: Mapbox
D. ArcGIS map
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The combination of ArcGIS maps and Power BI takes mapping beyond the presentation of points on a map to a whole new level. Informative visuals can be created by using available options from base maps, location types, themes, symbol styles, and reference layers. The authoritative data layers (such as census data) on a map along with spatial analysis delivers a deeper understanding of the data in your visual.
3. Cards
Obtaining information on a single data point might sometimes take precedence over what is required of others. Using cards Power BI visual, you can surface only the necessary and important information, without the blend of associated information.
Cards in Tableau can be used to display your key KPIs—total sales, market share over the year, gross profit margin per quarter, total opportunities gathered in the previous month, and so on.
Power BI offers two types of cards: Single numbers and Multi-row. Single number cards display a single data point or metric, like your sales in the previous quarter, leads acquired this week, and revenue generated in the last month. Multi-row cards display one or more data points in separate rows.
Image Source: eduCBA
To set up and create your own card Power BI visualizations, you can simply visit the Visualizations pane > Cards from your Power BI dashboard. You can then select the desired field(s) that need to be displayed in cards from the Fields pane (rightmost pane).
4. KPIs
Key Performance Indicators (KPIs) provide a quantitative measure of your business performance. Using KPI Power BI visuals, your teams can get a quick overview of your progress, with precise information about lagging factors and leading factors.
Using these Power BI custom visuals, you can improve operational efficiency, quality, timeliness, governance, compliance, project performance, personnel performance, resource utilization, and much more with ease.
5. Matrix
The matrix Power BI visual is similar to a table, but with deeper visualization options. Compared to tables, matrix visualization allows you to declare multiple variables in rows and columns. It also allows you to make use of Power BI’s drill-down features.
The matrix in Power BI offers the cross-highlighting of elements with other visuals on that report page. This aids in a better understanding of your data and quick operations like copy-paste of data to other applications.
Image Source: Microsoft Docs
6. Power Apps Visual
With Power Apps, anyone can create and use apps that connect to your business data. Power Apps visuals allow you to pass context-sensitive data to a canvas app that updates in real time as you make changes to your report.
You can connect to external data stored in services such as SharePoint, Dropbox, and Mailchimp, and either do Power BI visuals download or bring in forms and data in Power BI to visualize your data.
7. Q&A Visual
Q&A visual is an indispensable tool for quick search. Using a Q&A visual, you can type in questions and get answers in the form of a visual.
Q&A visuals use natural language processing capabilities to return answers in a jiffy. Your employees can use Q&A visuals to seek answers without having to sift through reports. Your report designers can leverage Q&A visuals to create appealing reports quickly.
8. R Script Visuals
R script visuals are data visualizations created using R in Power BI. Employing R script visuals requires you to download R on your local machine and enable R scripting options from the Options and Settings menu. You can then select R visual icon from the Visualization pane to add your R visual.
Image Source: Microsoft Docs
9. Slicers
Power BI slicers are simple filters that work on your visuals. They help you sort information and design customized charts on the go. Slicers enable data analysts to compare comparable reports quickly and easily by displaying commonly used filters on the report canvas.
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Slicers work on an object level. They allow for customization and can be programmed to create different filters for different objects. Moreover, by using slicers, you
- Create more focused reports with slicers next to important visuals.
- Filter information without having to open a drop-down list.
- Access frequently used or significant filters on the report canvas.
Once you’ve configured the Power BI slicer, you can quickly access your visual-level filters by using a checkbox list or a dropdown list beside your visual.
For more information on Power BI slicers and filters, do check out the following guide – A 101 Guide to Understand Power BI Filters.
10. Smart Narrative
Smart Narrative, a custom Power BI visual, brings a brief summary to your Power BI visuals and reports. When presenting additional details about an image, the smart narrative can be used to provide additional clues and insightful details.
Image Source: Microsoft Docs
The smart narrative feature is of great value to readers and those who need to interpret the data but don’t have a helping hand. You can provide them with key takeaways and highlights of trends, and help save them time.
This brings us to the end of this blog. With this, we hope now you are more confident in creating and using your own Power BI visuals. Eventually, you can use the Power BI visuals download to save graphs on your local system.
11. Decomposition tree
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The decomposition tree visual helps you visualize data across multiple dimensions. It aggregates data automatically and allows you to drill down into your dimensions in any order. Also, it is an artificial intelligence (AI) visualization, so you can ask it to find the next dimension to drill down into based on certain criteria. It is a valuable tool for ad hoc exploration and conducting root cause analysis.
12. Tables
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A table is a grid consisting of related data in a logical series of rows and columns. It might also contain headers and a row for totals. Use of tables is good for quantitative comparisons where you are looking at many values for a single category. For example, this table displays five different measures for Category.
Tables are a great choice:
- For comparison of detailed data and exact values (instead of visual representations).
- To display data in a tabular format.
- To display numerical data by categories.
13. Treemaps
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Treemaps are charts consisting of colored rectangles, with size representing value. With rectangles nested within the main rectangles, they can be hierarchical. The allocation of space inside each rectangle is on the basis of the value being measured. And the rectangles are arranged in size from top left (largest) to bottom right (smallest).
Treemaps are a great choice:
- For representing 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.
14. Standalone Images
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It is a graphic added to the report or dashboard. In Power BI, you can add a standalone image by using a custom image or by adding a hyperlink. You can use the Power BI service platform and add an image there separately.
Discover more information about Microsoft Power BI and its features in some of our other helpful blogs:
Conclusion
Power BI visualizations are valuable tools to interpret data, visualize and compare your data trends. They help prepare meaningful reports that are as straight as an arrow. Using meaningful Power BI custom visuals and Power BI visual examples of various categories- Charts, Maps, Scripts, you are all set to capture everyone’s attention, head straight on what’s supposed to be done, and make decisions fast. This article gives you a comprehensive list of Power BI visualization examples that you can use effectively to make your reports interactive.
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Have more ideas or Power BI features you would like us to cover? Drop a comment below to let us know.
With a background in marketing research and campaign management at Hevo Data and myHQ Workspaces, Divyansh specializes in data analysis for optimizing marketing strategies. He has experience writing articles on diverse topics such as data integration and infrastructure by collaborating with thought leaders in the industry.