Visualization, Data Science, and Biology
Scico and the Colour Conundrum
scico is now available on CRAN, ready to spread sensible colours to the world. In this post I’ll show the few functions that it brings and talk a bit more in general why colour is something to think about when plotting data
lime v0.4: The kitten picture edition
The new version of lime adds support for image models as well as build-in support for keras models and range of other tweaks
Let it flow, let it flow, let it flow
particles, my R port of the d3-force algorithm, is now on CRAN — read on to find out why you should care!
tidygraph 1.1 – A tidy hope
I’m very happy to present the next version of tidygraph to the world, a release which is more than anything else a feature release bringing many new possibilities for your network analysis workflow.
Looking Back on 2017
Everything that ever happened in 2017 - Eyes of the beholder may apply
Setting fire to deployment: Heroku
In this blog post I’ll show one way of deploying fiery web services: As a Heroku app.
Moving to Blogdown
A short post about my descision to move from Jekyll to Blogdown/Hugo
Announcing lime - Explaining the predictions of black-box models
Have you been looking at the Python world with jealousy over their ability to explain machine learning predictions? Look no more! lime is now available for R
Introducing routr - Routing of HTTP and WebSocket in R
I’m happy to finally be able to announce that routr is on CRAN, thus completing the standard fiery stack trifecta
I made a 3D movie with ggplot2 once - here's how I did it
A showcase of facet_stereo() in ggforce. A largely useless, but fun, feature