New Year, new learning. I finally took the time to learn closeread! Here my first scrollytelling talking about chronic pain using illustrations, R and Quarto. #dataviz #ggplot2 #rstats #scrollytelling. rigior.quarto.pub/the-invisibl...

Are you curious to know how to create a donut chart with
#ggplot2 in R #rstat?
Below few steps I used to create a donut chart in R.

To change the default colours, I used this time {MetBrewer} lnkd.in/dp7MzAKa, selecting a colour-blind friendly palette.

#dataviz #accessibility

It is 7 months that I don't post here. I focused on learning about entrepreneurship in these months. Now it's time to come back to the #Rstat #dataviz projects again, and what better time to start with the #30DaysMapChallenge? Here I incorporated day 5 a journey, and day 15 my data. A map of my CV.

Here, I show the data from the greenhouse gas emission from fuel. I aim to show the reader which countries did not reduce their emissions after the 2015 year of the Paris Agreement. I coloured in orange the countries that are the focus for my readers. #rstats #ggplot2 📊 #dataviz

It is still British Science Week. I talked to some kids in year 4 about how the synchrotron works. I talked about chocolates, dinosaur eggs and many other applications. We had fun creating a kaleidoscope. 🧪It was a pleasure to speak about my experience working at ESRF and SLS.

{viridis} is an R package with colour-blind friendly palettes. It improves the graph readability. The advantage is that the palettes are perceptually uniform, easy to print in greyscale. To use the {viridis} palettes in ggplot2 add:
📊 scale_colour_d()
#rstats #accessibility #ggplot2 #dataviz

How to choose a colour-blind friendly colour palette in R? One option is the package {RColorBrewer}, which helps you find the right colour for your audience. Using ‘colorblindFriendly = TRUE’ inside the function 'display.brewer.all', you can visualise all the colour-blind friendly palettes. 📊

Day 2 of @higsch.com Svelte + D3 tutorial. I tried several times to learn Svelte, but these tutorials are outstanding! Below, a GIF of my animated circles.

In collaboration with @datavizsociety.bsky.social, I started a spreadsheet of data visualization style guides. If you know of any that aren't on the list (docs.google.com/spreadsheets...) already, please add them and fill out this quick form: docs.google.com/forms/d/e/1F...

Thanks to all the useful resources and people to follow, yesterday I created my first circles in Svelte + D3. I used the tutorial from @higsch.com on YouTube. I amused myself by also adding a title and a footnote. Also, I changed the colours using a colour-blind friendly palette from {RColorBrewer}.

I'm so pleased to announce that for the next meetup of R-Ladies Cambridge #dataviz lunch, I will host @fgazzelloni.bsky.social. She will talk about the Du Bois challenge. Here is the link to the meetup: www.meetup.com/rladies-camb...

I am on the lookout for potential assignments/clients: if anyone knows of possibilities or can introduce me somewhere that would be super.
My expertise: static artful datavisualization (but I also like to create basic graphs), preferably on a social or scientific subject. 📊

Time to introduce myself, after being here for a while. I'm a data visualisation designer and a scientific illustrator. I work mainly in R to make data visualisations. I want to strengthen my skills in D3 with Svelte to create interactive data viz, any ideas or person to follow to learn about it?