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R 4 Data Science Quick Reference

, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data;

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R 4 Data Science Quick Reference

, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights;

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R Data Science Quick Reference

. After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R;

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R 4 Quick Syntax Reference

of the R 4 Quick Syntax Reference in hand, you will find that you are able to use the multitude of functions available in R and are even able to;

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Beginning Data Science in R 4

developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics;

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R Quick Syntax Reference

syntax, working with character strings, and an example using the Twitter API. With a copy of the R Quick Syntax Reference in hand, you will find;

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Beginning Data Science in R 4

developing new software packages for R. Beginning Data Science in R 4, Second Edition details how data science is a combination of statistics;

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R Quick Syntax Reference: A Pocket Guide to the Language, APIs and Library

syntax, working with character strings, and an example using the Twitter API. With a copy of the R Quick Syntax Reference in hand, you will find;

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Haskell Quick Syntax Reference

accessible. The Haskell Quick Syntax Reference is packed with useful information and is a must-have for any Haskell programmer working in big data;

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Data Analytics for the Social Sciences

allow quick immersion in chapter topics, followed by In Depth coverage. Data are available for all examples and runnable R code is provided;

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Data Analytics for the Social Sciences

allow quick immersion in chapter topics, followed by In Depth coverage. Data are available for all examples and runnable R code is provided;

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Univariate Bivariate & Multivariate Stat

A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate;

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Practical Statistics for Data Scientists

familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible;

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Data Science in Education Using R

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like;

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Data Science in Education Using R

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like;

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R In A Nutshell

Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical;

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R and Data Mining

in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical;

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Beginning R 4

Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical;

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The Physics Quick Reference Guide

a self-contained, quick reference guide to the most commonly used mathematical formulas, tables of data, symbols, units, standard;

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R In A Nutshell

comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it;

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R in a Nutshell

comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it;

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Data Science with SQL Server Quick Start Guide

Get unique insights from your data by combining the power of SQL Server, R and Python Key Features Use the features of SQL Server 2017 to;

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Data Science Using Python and R

Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world's two most widespread;

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Advanced R 4 Data Programming and the Cloud

formally inherit from the array class, eliminating inconsistencies. Advanced R 4 Data Programming and the Cloud is not designed to teach advanced;

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The Optical Communications Reference

Extracting key information from Academic Press's range of prestigious titles in optical communications, this reference gives the R&D;

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Communications Engineering Desk Reference

A one-stop desk reference for R&D engineers involved in communications engineering, this book will not gather dust on the shelf. It brings;

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R For Dummies 2Nd Edition

Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition;

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