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#d3

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Catching up on Day 24 of the where the prompt is using data from the World Health Organization 🧑‍⚕️

📊 Tried an experimental way to visualise two variables, where lower values are better for both
✅ Area shrinking towards zero indicates improvement
🤔 Think this would work better if there's a more natural scaling between two variables

I've been learning more D3 recently, and I figured the best (or at least most fun) way to learn it, was to make some generative art! 🎨

This was one of the ways that helped me to understand better because using functions for things they weren't designed for helps you learn how they break 🛠️

So here's my first attempt!

Announcing the Jumping Rivers Data Science Gallery!

We are thrilled to release a new Data Science Gallery to showcase our expertise with data dashboards using Shiny, D3 and other web technologies.

Read the full details in out latest blog post!


jumpingrivers.com/data-science

jumpingrivers.comGalleryExamples of dashboard and data-based web applications made at Jumping Rivers using Shiny and other web technologies.

Thinking about taking part in this year's ? I've pulled together all of my previous contributions into a browsable gallery!

📊 Browse charts by year and prompt
🛠️ See what tools were used to build them
💻 View the source code

Link to app: nrennie.rbind.io/30DayChartCha (App is built with Shinylive so may take 5-10 seconds to load)

GitHub repository for chart and app source code: github.com/nrennie/30DayChartC

#RStats#Python#D3