Books & Writing
Books and writing: reading lists, essays, authors, the craft of writing, and literature.
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Modern Statistics with R modernstatisticswithr.com
From wrangling and exploring data to inference and predictive modelling. The book includes plenty of examples and more than 200 exercises with worked solutions. Author: Måns Thulin.
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Statistical Inference via Data Science moderndive.com
This is intended to be a gentle introduction to the practice of analyzing data and answering questions using data the way data scientists, statisticians, data journalists, and other researchers would. Authors: Chester Ismay and Albert Y. Kim.
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Essential Math for Data Science medium.com
An article discussing the key mathematical topics to master to become a better data scientist. Author: Tirthajyoti Sarkar.
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Mastering Shiny mastering-shiny.org
This is the online version of Mastering Shiny, a book currently under early development and intended for a late 2020 release. This book complements the Shiny online documentation and is intended to help app authors develop a deeper understanding of Shiny. Author: Hadley…
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Practical Data Science with R manning.com
The intent of this book is to present data science from a pragmatic, practice-oriented viewpoint. The book concentrates on the process of data science, from the planning stages of a project, through the data collection and exploration, to the modeling, and finally to deployment…
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Map Plots Created With R And Ggmap littlemissdata.com
Author: Laura Ellis.
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Time Based Heatmaps in R littlemissdata.com
Author: Laura Ellis.
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Learning Statistics with R learningstatisticswithr.com
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. Author: Danielle Navarro.
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Gallery of Statistical Distributions itl.nist.gov
Author: NIST/SEMATECH.
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An Introduction to R intro2r.com
The aim of this book is to introduce you to using R, a powerful and flexible interactive environment for statistical computing and research. Authors: Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto & David Lusseau
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The ultimate R data.table cheat sheet infoworld.com
Find code for dozens of data tasks in this searchable cheat sheet of R data.table and Tidyverse code. Author: Sharon Machlis.
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The Graphic Continuum informationisbeautifulawards.com
The Graphic Continuum shows the many different types of visualizations available to us when we encode and present data. Authors: Jonathan Schwabish, and Severino Ribecca.
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ggplot2 - Modify components of a theme ggplot2.tidyverse.org
How to modify components of a theme in ggplot2. Author: the developers of Tidyverse.
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ggplot2: Elegant Graphics for Data Analysis ggplot2-book.org
This book provides a hands-on introduction to ggplot2 with lots of example code and graphics. It also explains the grammar on which ggplot2 is based. Author: Hadley Wickham.
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Geocomputation with R geocompr.robinlovelace.net
This book is about using the power of computers to do things with geographic data. It teaches a range of spatial skills, including reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and…
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An Introduction to Statistical Learning faculty.marshall.usc.edu
This book provides an introduction to statistical learning methods. Authors: Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
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Chart Suggestions — A thought-starter on choosing the way to show your data extremepresentation.typepad.com
Author: Andrew Abela, Ph.D.
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Engineering Production-Grade Shiny Apps engineering-shiny.org
This book covers the process of building a Shiny application that will later be sent to production. Authors: Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard.
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The Art of R Programming diytranscriptomics.com
This book is for those who wish to learn about developing software in R. Author: Norman Matloff.
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Getting latitude & longitude for any address discourse.looker.com
Author: Brecht Vermeire.
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A Sufficient Introduction to R dereksonderegger.github.io
This book is intended to guide people that are completely new to programming along a path towards a useful skill level using R. Author: Derek L. Sonderegger.
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Building Shiny apps - an interactive tutorial deanattali.com
This tutorial is a hands-on activity complement to a set of presentation slides for learning how to build Shiny apps. Author: Dean Attali.
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Data Science in Education Using R datascienceineducation.com
This book is primarily about learning to use R as a tool for data science in education. Authors: Ryan A. Estrellado, Emily A. Bovee, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez.
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Combine Multiple GGPlots into a Figure datanovia.com
Author: Alboukadel Kassambara.
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Answering Questions with Data crumplab.github.io
This is a free textbook teaching introductory statistics for undergraduates in Psychology. The textbook was written with math-phobia in mind and attempts to reduce the phobia associated with arithmetic computations. Author: Matthew J. C. Crump.
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Practical Regression and Anova using R cran.r-project.org
The emphasis of this text is on the practice of regression and analysis of variance. The objective is to learn what methods are available and more importantly, when they should be applied. Author: Julian Faraway.
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Plotting distributions (ggplot2) cookbook-r.com
A tutorial for plotting a distribution of data. Author: Winston Chang.
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Practicals and Exercises columbia.edu
This series of exercises reviews some of the content discussed during the author's lectures, and introduces some other basic concepts about working with data in R. Author: Charles DiMaggio, PhD.
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Color Hex Color Codes color-hex.com
Author: Color-Hex.
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A ggplot2 Tutorial for Beautiful Plotting in R cedricscherer.netlify.app
A comprehensive and easy to follow tutorial that covers working with axes, titles, legends, backgrounds, grid lines, margins, multi-panel plots, colors, themes, lines, text, coordinates, chart types, ribbons, smoothings, and interactive plots. Author: Cédric Scherer.
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Comments on Let Over Lambda reddit.com
Several people recommend that you be comfortable with On Lisp before reading this book, and that the start is slow.
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Lisp Subreddit reddit.com
An active community, and has loads of useful links and reference documents in the sidebar.
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Common Lisp: An interactive approach by Stuart C. Shapiro cse.buffalo.edu
A textbook that teaches mainly through the use of exercises.
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Cliki cliki.net
The Common Lisp Wiki. A great resource for all things CL. Has a great Getting Started page and an extensive list of Lisp books.
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State of the Common Lisp Ecosystem, 2015 borretti.me
Article about what libraries you should use, and why.
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Articulate Common Lisp articulate-lisp.com
Lists some useful libraries.
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Exploratory Data Analysis with R bookdown.org
This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Author: Roger D. Peng.
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JavaScript for R book.javascript-for-r.com
The ultimate aim of this work is to demonstrate to the reader the many great benefits one can reap by inviting JavaScript into their data science workflow. Author: John Coene.
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Modern R with the tidyverse b-rodrigues.github.io
The idea of Chapters 1 to 7 is to make you efficient with R as quickly as possible, especially if you already have prior programming knowledge. Starting with Chapter 8 you will learn more advanced topics, especially programming with R. Author: Bruno Rodrigues.
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data.table: A gentle introduction atrebas.github.io
A quick introduction to data.table. The main objective is to present the data.table syntax, showing how to perform basic, but essential, data wrangling tasks. Author: Atrebas.
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Data.Table and Dplyr Tour atrebas.github.io
A detailed comparison of R packages data.table and dplyr. Author: Atrebas.
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Introduction to Probability and Statistics Using R atmos.albany.edu
The book can be subdivided into three basic parts. The first part includes the introductions and elementary descriptive statistics; I want the students to be knee-deep in data right out of the gate. The second part is the study of probability, which begins at the basics of sets…
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Alex Cookson alexcookson.com
Alex Cookson loves making beautiful visualizations and easy-to-read walkthroughs of R concepts. He's particularly interested in data about media, like books, movies, and musicals.
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AISEKA aiseka.com
Discover the best Color Palette & Color Tools. Author: meetqy.
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Advanced R adv-r.hadley.nz
This book is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. Exercise Solutions Author: Hadley Wickham.
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SimpleXlsxWriter sourceforge.net
XLSX files writer for Microsoft Excel 2007 and above. [zlib]
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Master C Programming with Open Source Books ossblog.org
A curated list of open source books for learning C programming.
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Google Mock github.com
A library for writing and using C++ mock classes. [BSD]
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List of Free C or C++ Books github.com
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