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# Constructing Hexagon Maps with H3 and Plotly: A Comprehensive Tutorial

**[Towards Data Science](https://daily.dev/sources/tds)** · 6 min read · 0 upvotes · 0 comments

## Summary

This article provides a step-by-step explanation of how to create hexagonal maps in Python using the H3 and Plotly libraries. It discusses the advantages of using hexagons for data visualization across a territory and uses a dataset of hotels in Barcelona to demonstrate the process. The article covers data cleaning, hexagon grid generation, hotel assignment to hexagons, data grouping, and the final visualization using Plotly.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/constructing-hexagon-maps-with-h3-and-plotly-a-comprehensive-tutorial-8f37a91573bb?source=rss----7f60cf5620c9---4>

---

Tags: [#python](https://daily.dev/tags/python), [#data-science](https://daily.dev/tags/data-science), [#data-analysis](https://daily.dev/tags/data-analysis), [#data-visualization](https://daily.dev/tags/data-visualization), [#plotly](https://daily.dev/tags/plotly)

[View this post on daily.dev](https://daily.dev/posts/constructing-hexagon-maps-with-h3-and-plotly-a-comprehensive-tutorial-zy7ikyyyy)

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