A Simple Trick That Will Make Heatmaps More Elegant

Embedding the size component to a heatmap.

Heatmaps often make data analysis much easier. Yet, they can be further enriched with a simple modification.

A traditional heatmap represents the values using a color scale. Yet, mapping the cell color to numbers is still challenging.

Embedding a size component can be extremely helpful in such cases. In essence, the bigger the size, the higher the absolute value.

This is especially useful to make heatmaps cleaner, as many values nearer to zero will immediately shrink.

In fact, you can represent the size with any other shape. Below, I created the same heatmap using a circle instead:

Find the code for this post here: GitHub.

👉 If you liked this post, don’t forget to leave a like ❤️. It helps more people discover this newsletter on Substack and tells me that you appreciate reading these daily insights.

Thanks so much for appreciating the effort :)

The button is located towards the bottom of this email.

Thanks for reading!

---

Latest full articles

If you’re not a full subscriber, here’s what you missed last month:

• Federated Learning: A Critical Step Towards Privacy-Preserving Machine Learning

• You Cannot Build Large Data Projects Until You Learn Data Version Control!

• Why Bagging is So Ridiculously Effective At Variance Reduction?

• Sklearn Models are Not Deployment Friendly! Supercharge Them With Tensor Computations.

• Deploy, Version Control, and Manage ML Models Right From Your Jupyter Notebook with Modelbit

• Gaussian Mixture Models (GMMs): The Flexible Twin of KMeans.

• Bayesian Optimization for Hyperparameter Tuning.

To receive all full articles and support the Daily Dose of Data Science, consider subscribing:

---

👉 Tell the world what makes this newsletter special for you by leaving a review here :)

👉 If you love reading this newsletter, feel free to share it with friends!