IMDb datasets: 3 centuries of movie rankings visualized
The Question I am a sucker for IMDb ratings so don’t judge me. They are my priors before watching almost anything on a screen (home screen that is). But between...continue reading.
The Question I am a sucker for IMDb ratings so don’t judge me. They are my priors before watching almost anything on a screen (home screen that is). But between...continue reading.
On candy stripe legs the Spiderman comes, softly through the shadow of the evening sun (Lullaby, The Cure) Cellular automata are an inmense source of artistical images. Today, I experimented...continue reading.
Geo maps with R and Leaflet Data visualization can be tough to get right, and geospatial data is not an exception. Today you’ll learn how to build aesthetically pleasing interactive...continue reading.
Scatter Plots with R Do you want to make stunning visualizations, but they always end up looking like a potato? It’s a tough place to be. Luckily, R makes it...continue reading.
Line Charts with R Are your visualizations an eyesore? The 1990s are over, pal. Terrible-looking visualizations are no longer acceptable, no matter how useful they might otherwise be. Luckily, there’s...continue reading.
Python and Dash vs. R and Shiny Developing dashboards is no small task. You have to think about a vast amount of technical details and at the same time build...continue reading.
Bar Charts with R The language of data visualization is universal. Not everyone will recognize a great visualization, but everyone will remember a terrible one. If you use tools and...continue reading.
Introducing semantic.dashboard Dashboards allow you to structure reports intuitively and break them down into easy-to-read chunks. As a result, end-users can navigate and explore data much easier than with traditional...continue reading.
This blog is about getting corporate identity graphics ready in R using ggplot. Many corporates have decent identity Powerpoint decks and Excel templates available to work with, they might even...continue reading.
This blog is about getting corporate identity graphics ready in R using ggplot. Many corporates have decent identity Powerpoint decks and Excel templates available to work with, they might even...continue reading.
This is very useful esp. when you want to use a high-resolution screenshot for a poster/printout. I currently don’t find a way in Safari to save the screenshot in Responsive...continue reading.
Taking a jpg image and converting it to raster, getting pixelized data manipulation of the image and plot a scatter image. Sound like another useless R function, that can produce...continue reading.
Introduction Sleeping, and python. Two of my favourite things, when combined with the the Python Fitbit library, Matplotlib, and Pandas, can generate informative plots of your sleeping habits! This post...continue reading.
Yes, the name of today’s function is wacky, because it gives you the flickering feeling when running it with x11() function. In addition is uses simple square root and cosine...continue reading.
I just released my first open-source package: pelotonR! The package was created to provide users with sample access to Peloton data through R. Learn more at the website: https://lgellis.github.io/pelotonR/continue reading.
Do you want to visualize beautiful graphs in R but are shy to leave the tidyverse? Tidygraph and Ggraph ‘got you covered! See how their main functionalities are applied in...continue reading.
One of the game-changing features of ggplot2 was the ease with which one can explore the dimensions of the data using small multiples.1 There is a small trick that I...continue reading.
The French Ministry for the Ecological and Inclusive Transition (for which I’m currently working) is ongoing a process of opening data related to energy consumption. Each year, we publish data...continue reading.
Last week in Mapping Texas Ports with R [part 1], we created a simple map of Texas ports with R, ggplot2, and geom_sf. That map was really just a “rough...continue reading.