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R Data Visualization Cookbook

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RStudio for R Statistical Computing Cookbook

Is For This book is targeted at R statisticians, data scientists, and R programmers. Readers with R experience who are looking to take the;

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Practical Data Science Cookbook -

understand the installation procedure and environment required for R and Python on various platforms * Prepare data for analysis by implement;

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Jupyter Cookbook

tasks associated with it. What you will learn Install Jupyter and configure engines for Python, R, Scala and more Access and retrieve data on;

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R for Data Science Cookbook

to apply useful data analysis techniques in R for real-world applications * An easy-to-follow guide to make the life of data scientist;

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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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Data Science Using Python and R

open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist the hottest job in America;

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Hands-On Data Science with R

A hands-on guide for professionals to perform various data science tasks in R Key Features Explore the popular R packages for data science;

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R

of experience. What You Will Learn * Get data into your R environment and prepare it for analysis * Perform exploratory data analyses and;

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Data Science for Business With R

Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course;

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R Graphs Cookbook

in learning effective data visualization techniques with R and a wide-range of its associated libraries.;

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R 4 Data Science Quick Reference

data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications Visualize data with;

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R for Data Science

of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics.;

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R Cookbook Proven Recipes for Data Analysis, Statistics, and Graphics

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language;

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R 4 Data Science Quick Reference

then transform that data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications;

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Programming Skills for Data Science

, you'll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman;

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25 Recipes For Getting Started With R

R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book;

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Learn R for Applied Statistics

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;

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R Data Science Quick Reference

Write functions with R for data science, data mining, and analytics-based applications Visualize data with ggplot2 and fit data to models using;

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R Graphics Cookbook 2e

reference. Use R's default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize;

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R Data Science Essentials

basic hands-on experience in R or any other analytics tool, then R Data Science Essentials is the book for you. What You Will Learn;

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Doing Data Science in R

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;

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Machine Learning with R Cookbook

If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless;

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Data Science with Julia

base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;

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Data Science with Julia

base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods;

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Applied Statistics for Environmental Science with R

> Shows how to analyze data using R software and provides R scripts for all examples and figures;

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