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Post By Admin Last Updated At 2023-03-22
What is a Power BI Heat map? How it is useful?

If you are a data scientist, you can help organizations to make rapid and effective decisions by giving them a clear and simple picture of their data.

To convey various messages, various forms of visualizations are available. For instance, using programs like Power BI, Tableau, etc., histograms can be used to determine how numerical data is distributed, scatterplots can be used to examine the correlations between variables, and pivot tables can be used to summarize important statistics in a single table.

This Power BI training on data visualization will improve your ability to create perceptive representations using pre-built and customized charts as well as conditional formatting.

This theoretical blog attempts to discuss heatmaps, a different kind of data visualization. Before emphasizing the advantages of heatmaps, let's first clarify what they are. Then, using Power BI, we will discuss practical applications. We will look at several issues to be mindful of while utilizing Power BI heatmaps before we conclude.

Why are Heatmaps Useful?

A significant amount of logical visual representation of data at several levels can be provided by using heatmaps. It is one of the best techniques for obtaining business intelligence. Also, a lot of companies use it for the reasons listed below:

  • Have a global overview of customers' behavior

We anticipate the final application while creating a tool, such as a website. However, the end users could not fully comprehend the design concept, which could cause them to interact with the product differently.

  • Improve business performance

Businesses may build and set up their products so that individuals can discover the relevant information at the right location after they have a better understanding of user behavior. By doing this, you might increase traffic and, as a result, business worth.

  • A good alternative for visual analytics

Heatmap visualisations may offer a thorough visual knowledge of how users interact with your company website, and they can be a fantastic substitute for technologies like Google Analytics that are occasionally confusing and even overwhelming.

  • A good way for Data Scientists to visualize features' relationship

My preferred method for conducting correlation analysis is using heat maps. Heatmaps can be used to quickly visualize the association between several variables for your Machine Learning models during training instead of dealing with numerical values in the correlation matrix.

Power BI Heat Map:

One of the most popular business intelligence tools, Power BI, enables organizations to undertake in-depth customer analytics to generate insightful data. It provides a wide range of data analytics and visualization capabilities that let users create useful dashboards or reports for making data-driven decisions. The most popular visualization for showing distributed networks, consumer behavior, etc. is the Power BI Heatmap.

What is Power BI Heatmap?

A heatmap, as the name suggests, is a sort of visualization that shows the density of data at each particular location on a map. A visualization that shows the density of data on a map is a Power BI Heatmap. Each matrix value is depicted as colors in this style of data display.

Numerical data requires a color scale that switches from one color to the next to discern between high and low values, but categorical data is already color-coded. A Heatmap is a useful tool for cross-examining multivariate data because most businesses operate with structured data, where variables are organized in rows and columns so that you may Color-Highlight table cells that contain important data. 

Power BI Heatmaps may show how different variables vary from one another, highlight patterns, see if two variables are comparable, and reveal linkages between them. Moreover, Power BI Heatmaps offer crucial details about a data point or entity based on particular variables in the dataset.

Dark colors are used to show sections of a heatmap with the highest data density, followed by light colors that are directly proportionate to density. Histograms, tables, and maps of specific locations can all be used to display this color pattern.


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How to create a Heatmap in Power BI?

A heat map isn't included in Power BI Visualization by default. A heat map can also be created in different ways.

• Log in using the official domain-specific email address to view market-specific heat maps for tables and maps.

• Make use of the external files you've downloaded to the system.

• By using conditional formatting of the backdrop colors, a heat map can be produced from a table or matrix.

1. Power BI Heatmap Visual

In the stages that follow, we'll make a Power BI heatmap for earthquakes for instance that occur over a specific period. Yet the procedure is much the same for creating new categories.

  • Use the Power BI Desktop interface and load the example data sets in Excel or CSV format.
  • Pick Data extracted additional visuals from the More menu or click the Heatmap icon in the Visualization panel to add the heatmap visualization.
  • Add the required fields and data variables now to produce a heat map.
  • Add the data variables to the necessary fields
  • A straightforward heatmap visualization will be shown on the Interface.
  •  Even though we can distinguish between places that experience varied earthquake frequencies, it still needs to be more obvious.
  • To enhance the heatmap, use the Format option under the Visualization tab and change the renderer type to Heat.
  • At this point, apply various colors at various degrees.
  • Lastly, dashboards or reports can use your Power BI heatmap graphic.

2. Power BI Heatmap Table

The steps to generate a Heatmap table in Power BI are listed below.

• Load the data sets into the Power BI Desktop interface, then select Table visual from the visualization panel.

•Add the DayofWeekName and MonthName to the corresponding rows and columns. Add SalesAmount to the Values section as well.

• A common table will be built and displayed on the Power BI interface.

•Set the background and font colors to on and change the table's style to minimal.

•Lastly, customize the table's colors to suit your needs, and your Power BI heatmap table will be ready.

Key things to remember when using Power BI Heatmaps

While using Power BI to create Heatmaps, there are a few important things to keep in mind.

  • Heatmaps are specialized visualizations in Power BI that are exclusively available through the Power BI Marketplace.
  •  Despite being infrequently utilized, the Power BI Marketplace offers a large range of visualization charts. Only the visualization section has common charts.
  •  Always pick a color that represents heat or density when making a heatmap.
  • Heat maps can only be created with numerical data.
  •  After conversion, some of the cells in your data matrix can be empty. PowerBI provides you with the ability to set those numbers to zero in this situation, which is advantageous.
  • You can utilize predefined colors or make your own custom colors for your Power BI heatmap.
  • Heat maps are made based on density and intensity. Colors that faithfully convey that information must be used.

Heatmap Examples

Heatmaps can produce a straightforward visual representation of the data, which opens up a wide range of possibilities in several fields. Five different varieties and their applications are listed below.

  • Website heatmaps

Organizations that conduct their business online, such as media services, SaaS providers, eCommerce businesses, etc., use these types of heatmaps. They track and analyze user behavior on their platforms using heatmap visualizations to gain insights for smarter decision-making. A few examples of web heatmaps are:

clickmap showing which parts of a web application have had the most click. 

  • A scrollmap shows how far users have scrolled before continuing their journey.
  •  Because eye tracking is sometimes sophisticated, it is not always obvious. The main objective is to identify the areas that consumers pay the most attention to.
  •  Some study suggests that mouse tracking can replace eye tracking.

Geographical heatmaps

A geographical heatmap, which is mostly used by earth scientists, plots data on a real map and designates some geographic locations as having a high and low density.

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AI-Generated heatmaps

The success of these heatmap visualizations is a result of the development of artificial intelligence. To promote road safety by attempting to reduce cognitive distractions, they can be utilized, for example, in modern automobiles to monitor the visual actions of the drivers.

Heatmaps in Finance

Financial market experts can use heatmaps to quickly evaluate company performance and the ongoing volatility of market values of assets, products, etc.

Heatmaps in sports

Many sports coaches and managers use heatmaps today not just to track the performance of their players but also to research the players on the other team to develop winning plans.


Likewise, we may use this power BI heat map for both past data analytics as well as for future prediction. Get all those analytics from real-time experts through Power BI Online Course. Enroll today for the free demo session offered by OnlineITGuru and become a certified professional.