Google Sheets Heatmap: Create Informative Visualizations Effortlessly

Published: December 16, 2023 - 2 min read

Krishna Bheda

Understanding Heatmaps in Google Sheets

Concept and Purpose

Heatmaps in Google Sheets use color gradients to represent data values visually. They are essential for businesses to quickly highlight key data points in large datasets, such as customer engagement levels or sales performance across different regions.

In Google Sheets, heatmaps can be created using the conditional formatting feature, which alters the color of cells based on their values. This helps users to identify high and low values as well as outliers in their data that might require attention.

There are two common types of heatmaps in Google Sheets: single color and multi-color heatmaps.

Single-color heatmaps use a single color gradient that becomes darker or lighter based on data values, while multi-color heatmaps utilize a range of colors to emphasize variations within the dataset.

Diverging heatmaps, a subtype of multi-color heatmaps, generally have a midpoint or central value, with lower values represented by one color and higher values represented by another.

Creating a Heatmap in Google Sheets

To create a heatmap in Google Sheets, follow these steps:

Select the cells where you want to apply the heatmap. This can include the entire data range or specific clusters of cells.

Here, our dataset represents quarterly sales data across different regions.

Highlighting the sales data cells in Google Sheets for heatmap creation.

Navigate to Format > Conditional formatting in the menu bar. This will open the Conditional Formatting sidebar.

Alt Text: Navigating to the Conditional Formatting option in Google Sheets.

Choose between Single color or Color scale depending on whether you want to create a single color heatmap or a multi-color heatmap. In this example, we chose Color scale.

Selecting between Single color and Color scale options in Google Sheets.

Google Sheets will automatically generate a default color gradient for your heatmap.

Note: You can also choose a custom color scale by clicking the Minpoint, Midpoint, and Maxpoint color selectors. These colors represent the lowest, middle, and highest values in your selected data range, respectively

Conclusion

Understand trends in customer behavior, sales performance, or product popularity. Use these insights to drive targeted marketing campaigns, product development strategies, or resource allocation.

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Krishna Bheda Growth Marketer
Krishna Bheda is a growth marketer passionate about B2B SaaS and PLG. Specifically, Coefficient's ability to automate data and empower individuals to accelerate analyses and strategy, hits close to home. With a background in Economics and Statistics, working in the data space is a dream.
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