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What Is a Heatmap?


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    Highlights

  • Heatmaps use color-coding to represent data values in a two-dimensional format, making trends and patterns easily identifiable
  • They provide efficient overviews of complex data, more accessible than traditional charts or tables, especially for non-experts
  • Commonly used in industries like real estate, marketing, and web analysis, heatmaps gained popularity during the 2008 recession for visualizing foreclosure rates
  • While helpful for preliminary insights, heatmaps can be misleading by omitting full context or causal explanations
Table of Contents

What Is a Heatmap?

Let me explain what a heatmap is: it's a two-dimensional visual representation of data where colors indicate different values, helping you spot trends or patterns at a glance.

You can apply heatmaps to all kinds of data, whether it's showing foreclosure numbers in the real estate market, spreads of credit default swaps in finance, or the number of hits on a website for webpage analysis.

Key Takeaways

  • A heatmap is a graphical representation of data in two dimensions, using colors to demonstrate different factors.
  • Heatmaps are a helpful visual aid for viewers, enabling the quick dissemination of statistical or data-driven information.
  • On the downside, heatmaps provide only selective information, therefore clouding the big picture on an issue; they are also often prepared when only preliminary information is available.
  • While heatmaps are used in various industries and circumstances, they are commonly employed to show user participation on a website.
  • Heatmaps became trendy after the recession that began in 2008.

Understanding a Heatmap

Heatmaps have been around since the 19th century for statistical analysis, and they've become a useful tool in almost every industry and field, including medicine, marketing, engineering, and research.

As a practical example, they became trendy during the recession that began in 2008, when many people used them to quickly see foreclosure rates in various states and compare them to previous months to determine if foreclosures were rising, falling, or staying the same.

I find heatmaps helpful because they provide an efficient and comprehensive overview of a topic at a glance. Unlike charts or tables that you have to interpret or study, heatmaps are direct data visualization tools that are more self-explanatory and easy to read.

Heatmaps can also be more user-friendly for consumers, especially those not accustomed to reading large amounts of data, because they are more visually accessible than traditional data formats.

Heatmap Example

You can employ heatmaps in a variety of situations and industries. For instance, a heatmap of foreclosure data could show parts of the U.S. experiencing high foreclosure rates in a dark color and states with low rates in lighter colors, which is useful for real estate professionals looking to understand the market and identify trends.

A color-gradient legend typically accompanies a heatmap to specify the data and help you understand it. Heatmaps are also widely used in the webpage industry to show where users are clicking.

Special Considerations

However, heatmaps can also be misleading because they often involve large amounts of data and may not include all the necessary information needed to make an accurate assumption about the trend. They can show that certain situations happened but do not provide insight into why the situation occurred, what factors were involved, or what the forecast for the future will be.

Heatmaps are often made before all the data on a topic is released to provide some preliminary analytics for viewers, so you have to read them with that caveat in mind.

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