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Explore data like a pro using R! R is a powerful, open source programming language built specifically for data analysis. It includes a huge array of standard functions for common data science tasks, along with an incredible ecosystem of free tools and packages for organizing, interpreting, and presenting your data. Exploring Data with R is an easy to use book that teaches you how to explore business and research data using R without unnecessarily complicated programming or specialized mathematics. Filled with clear explanations of key data analysis tasks, reusable code snippets, and hands-on exercises, it’s the perfect way to upgrade your data wrangling skills with R!
about the technology
R is a data analysis platform designed to make statistical computing more practical and accessible. The R language and its extensive ecosystem includes a massive toolbox of libraries and packages for almost any challenge you’ll need to crack! While it’s powerful enough to do complex, large-scale data science projects, you can get excellent results with minimal programming through experience you already have from working with tools like Excel. R scripts are easy to reuse by yourself and others, and nearly every component of R is free and open source.about the book
In Exploring Data with R, veteran data enthusiast Richard Iannone teaches you to explore the most common types of data using the powerful combination of R and the RStudio IDE. Focusing on the skills you’ll need for data analysis, you’ll start by using the RStudio environment to write your first R scripts. From there, you’ll learn how to load and use R Tidyverse packages such as dplyr, ggplot, and tidyr to transform and clean up messy data, create beautiful charts, generate reports, and develop components you can reuse in later projects. You’ll even get to grips with some advanced topics such as automation of reporting, data validation, and creating your own R packages! Filled with fun exercises to test your knowledge and hands-on projects to work through each chapter, this book is the perfect place to start your journey into data science!what's inside
- Navigating the RStudio interface like a pro
- Loading and using R Tidyverse packages to do useful data analysis work
- Communicating and visualizing data using R Markdown and presentation software
- Full examples using custom datasets and functions
- Reference materials you can use again and again
- Recommendations on where to go next
An excellent and imminently workable introduction to R that rivals the best books out there.
You don't need to have a degree in Statistics to use R for getting immediate insights about your data. This book explains how, with examples and exercises.
Provides an engaging and practical entry point to a powerful environment for working with data.
A very practical and pragmatic manual full of useful and relevant hands on labs.
An excellent book for what it says, in terms of exploring data.
Reads like a story and feels like an incredible adventure on your journey of learning the R language!
An excellent introduction to data science, to R, and particularly to the tidyverse.
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team
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$49.99
$499.99
only $41.67 per month
- five seats for your team
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