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.

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