Author: Stephen

RT @deapoirierbooks: Voldemort didn’t try to kill Harry Potter until he was 55 Darth Vader was nearly 40 when he built the Death Star Hannibal was 52 when he escaped from captivity Thanos was over 65 when he collected the infinity gems Annie Wilkes was 44 when she found Paul It’s never too late ❤️



from Twitter https://twitter.com/stephen_hucker

RT @ByPaulJ: @sportschord @tableaupublic I built something similar — a bit more on the #NLP side — a little while ago. I used some #rstats to synthesize over a year’s worth of conversations between myself and my S/O. Link to the full notebook with all the #code is below; wordmap as a teaser: https://t.co/392yeCCdUZ https://t.co/xXV0mNAVme



from Twitter https://twitter.com/stephen_hucker

RT @theotheredgar: Just published a review of @thomasp85 ‘s super cool #ggplot2 extension : https://t.co/F3yOrkZnEl . It is amazing how easy is to improve upon existing plot with a single additional line of code! #rstats #tidyverse https://t.co/n1nIqsXxtt



from Twitter https://twitter.com/stephen_hucker

RT @ClausWilke: I’ve set up a website with annotated examples of how to make publication-quality figures with ggplot2. #rstats #ggplot https://t.co/yfBOCsr69e https://t.co/yOhoqYQ34W



from Twitter https://twitter.com/stephen_hucker

RT @allison_horst: I’ve been asked a few times recently if I have a favorite #rstats monsters illustration. Yes! It’s the dplyr::mutate() mutants, using their powers to add variables. https://t.co/B4mAJdfNYs https://t.co/F0mbj2un1G



from Twitter https://twitter.com/stephen_hucker

Web Excursions for June 2019

Statistical Rethinking Winter 2019

GitHub – clauswilke/practical_ggplot2: Step-by-step examples of building publication-quality figures in ggplot2

GitHub – Quartz/bad-data-guide: An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

Chromebook Data Science Chromebook Data Science (CBDS) is a free online educational to help anyone who can read, write, and use a computer to move into data science,

Started studying a book I purchased in February Data Visualization: A Practical Introduction

The book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.

 Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.

Melbourne by Bike Path

Melbourne by Bike Path – by David Blom
This trail shows the fantastic network of bike trails Melbourne has to offer. What David has worked out is a 600km loop path with no crossovers or up and backs and minimal on-road riding. Its pretty much all bike paths.

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