Dataviz Universe

👋 Hi there! It’s July 5th, and it’s officially time for me… to take a break! 🎉 I started writing this newsletter last September, and wrote 45 issues since then. It does not sound much, but that's actually a big amount of my Saturday time invested to write those little dataviz tips and tricks. ☺️If you liked them, why not sharing them with a friend? Or even better, write me a little testimonial in 10 seconds. See all past issues What a Year! Alongside my consulting work, I built a few tools...

👋 Hey there! I've been writing this newsletter solo for almost a year now, mostly sharing thoughts on dataviz. 😳 Along the way, people often ask me how I got into this field, and if I have any advice for a career in data. So today’s issue is a bit different. I’m sharing 10 career tips, and telling you my story along the way. It’s more personal than usual. A little cliché, a little cheesy… but hey 🤷♂️ 1️⃣ Time adds up (quickly) Twelve years ago, I started working in academia as a...

👋 Hi! This week, a student of my ggplot2 course asked how I go from a dataset to a polished graph. It's a common (and important!) question. So here’s a quick overview of my process: 1️⃣ Explore first I start by making lots of quick, messy plots. No styling, just raw exploration to understand what’s in the data and what story might be hiding. I love using ggplot2 here: easy to filter, tweak, and switch chart types just by changing the geom. Pro tip: The gt_plt_summary() function from gtExtras...

👋 Hi! I’m currently teaching data visualization with R and Python to over 1,000 people, and I absolutely love it! ❤️ Each course includes a Discord channel where students share their charts and get constructive feedback. A common struggle Here’s something I’ve noticed: most students are great at coding, creative, and know the dataviz best practices.But many still struggle with design. They produce charts that are technically correct but not very pleasant to look at.So what really makes the...

👋 Hi! While working on my ggplot2 uncharted project this week, I revisited many old posts from the R Graph Gallery. It reminded me of a classic issue in data visualization, and how to fix it. It probably happened to you already. It can lead to misleading conclusions. In the worst cases, it can make a chart completely unreadable. The good news is: the fix is easy once you know it. So you won't need to worry about the FBI knocking on your door for producing a bad chart next time you face the...

👋 Hi! First, a quick apology for missing last week's email. 😔 It’s the first time this year I’ve skipped one, but with over 450 people joining the launch of ggplot2 uncharted, things got a little intense on my end. Anyway, let's go back to our usual, short & actionnable dataviz tip with a few words about bubble size. 🫧 Why bubbles? Circles are everywhere in dataviz. In scatterplots, their position usually encodes two variables (x and y). But sometimes, we also use their size to encode a...

👋 Hi! I hope you’re doing well on your side of the planet. Here, spring is finally peeking through. I’m writing this from a hammock, with a lazy cat napping beside me and my kid playing with flowers. Love it! ❤️ Anyway, you’re not here for daydreaming but to sharpen your dataviz skills, so let's get into it. Good chart !== bad chart I’ve been building charts and teaching dataviz for a while now, and one thing always strikes me: the same common mistakes pop up over and over. Some of them are...

👋 Hi! I know, it’s not Saturday today 🙈.But this week is special to me because I’m launching my latest project!! Can I tell you the story? I love R About 13 years ago, I finished my master's degree in genetics and started working as a bioinformatician. I discovered the joy of data analysis and fell in love with the final step: building great charts. To document what I learned, I created the R Graph Gallery, a collection of chart examples with code and explanations. Examples are sorted by...

👋 Hi! As you might know I try to share a little dataviz tips & inspiration on LinkedIn every day.And this week, one post really struck a chord: The Graph This map is a choropleth map. It shows the unemployment rate in Belgium. Originally created by Koen Van den Eeckhout in Tableau, my associate Joseph (co-teacher for our Matplotlib Journey course) recreated it in Python.Here is a glimpse of his iterative process. We like calling this an "Evolution of a Matplotlib". 🔗 Check out the code here!...

👋 Hi there! As a software engineer and educator, I spend a lot of time watching beginners write code. And one thing always stands out: how slow it can be. Not because of logic or bugs, but because of typing & formatting! So today I suggest we talk about formatters.Before we start, can you answer this tiny poll? You already use a formatter when you code: TRUE FALSE If you're not using one yet, it’s an easy win that will instantly boost your productivity. And if you already are, read on:...