What I’m reading
Designing Data Visualizations
Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually…
Practical Vim
Edit Text at the Speed of Thought
Statistical Mandala
An Introduction to Data Analysis and Aductive Inference
エンジニアの知的生産術
仕事をするうえで、どのように学び、整理し、アウトプットするのか。 ソフトウェアエンジニア向けに、プログラミングと執筆を具体例として、知的生産の方法を解説した書籍です…
Advanced R
Advanced R helps you master R as a programming language, teaching you what makes R tick.
An Introduction to Statistical Learning
This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences. The book also contains a number of R labs with detailed explanations on how to implement the various methods in real life settings, and should be a valuable resource for a practicing data scientist…
blogdown
Creating Websites with R Markdown
Evidence and Evolution: The Logic Behind the Science
How should the concept of evidence be understood? And how does the concept of evidence apply to the controversy about creationism as well as to work in evolutionary biology about natural selection and common ancestry? In this rich and wide-ranging book, Elliott Sober investigates general questions about probability and evidence and shows how the answers he develops to those questions apply to the specifics of evolutionary biology…
ggplot2
ggplot2: elegant graphics for data analysis shows you how to use ggplot2 to create graphics that help you understand your data.
Introduction to Machine Learning with Python
A Guide for Data Scientists
Introduction to Probability
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. …
Python for Data Analysise
Data Wrangling with Pandas, NumPy, and IPython 2nd Edition
R for Data Science
R for Data Science, with Garrett Grolemund, introduces the key tools for doing data science with R.
R Markdown
The Definitive Guide
R Markdown Cookbook
Cookbook
Statistical Rethinking
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data…
Statistics (the Easier Way) with R, 3rd Ed
an informal text on statistics and data science
Tidy evaluation
The primary goal of this book is to get you up to speed with tidy evaluation by showing you how to write functions using tidyverse pipelines and grammars…