Blog Archives

The tweenr is all grown up

October 21, 2018
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The tweenr is all grown up

NOTE: tweenr was released some time ago but a theft of my computer while writing the release post meant that I only just finished writing about it now. I’m very happy to once again announce a package update, as a new major version of tweenr is now on CRAN. This release, while significant in itself, is also an important part of getting gganimate...

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What Are We Plotting, What Are We Animating

September 23, 2018
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What Are We Plotting, What Are We Animating

This is my first blog post about gganimate — a package I’ve been working on since mid-spring this year. I have many thoughts and lots to say about animation and gganimate, so much in fact that it has seemed too big a task to begin writing about. Further, I felt like I had to spend my time developing the...

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Scico and the Colour Conundrum

May 29, 2018
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Scico and the Colour Conundrum

I’m happy to once again announce the release of a package. This time it happens to be a rather unplanned and quick new package, which is fun for a change. The package in question is scico which provides access to the colour palettes developed by Fabio Crameri as well as scale functions for ggplot2 so they can be used...

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lime v0.4: The kitten picture edition

March 5, 2018
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lime v0.4: The kitten picture edition

I’m happy to report a new major release of lime has landed on CRAN. lime is an R port of the Python library of the same name by Marco Ribeiro that allows the user to pry open black box machine learning models and explain their outcomes on a per-observation basis. It works by modelling the outcome of the black...

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Let it flow, let it flow, let it flow

February 21, 2018
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Let it flow, let it flow, let it flow

I got a new package on CRAN! It’s called particles and it sits right in the perfect intersection of fun, cool, and useful. If you don’t believe me, have a look at the Venn diagram below — charts don’t lie! So what is this all about? particles is an R implementation of The d3-force algorithm developed by Mike Bostock and can...

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tidygraph 1.1 – A tidy hope

February 11, 2018
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tidygraph 1.1 – A tidy hope

I am very pleased to tell you that the next version of tidygraph (1.1) is now available on CRAN. This is not a bug-fix release, nor a change-it-all release, but rather a more-of-it-all release, and in this post I’m going to tell you all about it. The idea of tidygraph Before we enter the goldmine of new features that makes this...

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Looking Back on 2017

December 21, 2017
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Looking Back on 2017

Say what you will about 2017 - it sure made an impact. In the broader view I’m pretty sure all sensible people can agree that that impact was predominantly negative, but even so, small pockets of good can happen. So, here’s a short post about all (...

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Setting fire to deployment: Heroku

November 5, 2017
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Setting fire to deployment: Heroku

There are many ways to utilize fiery: It can be the engine behind a local running web-app, it can serve a dynamic site running on your own server, or it can serve a more demanding service by running in the cloud. In this post I’m going to focus on one way of achieving the latter, namely by deploying a...

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Moving to Blogdown

October 28, 2017
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Moving to Blogdown

As I announced last friday on Twitter I have moved Data Imaginist to Blogdown from Jekyll. This is going to be a short post about why I did it. There’s not going to be much tutorial about this; the migration is as painless as can be expected and besides, other more qualified people have already made great tutorials about...

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Announcing lime – Explaining the predictions of black-box models

September 13, 2017
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Announcing lime – Explaining the predictions of black-box models

I’m very pleased to announce that lime has been released on CRAN. lime is an implementation of the model prediction explanation framework described in “Why Should I Trust You?”: Explaining the Predictions of Any Classifier paper. The authors of the paper have developed a Python implementation and while the two implementations share many overlaps, the R package is not...

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