Graphing Data with R
|Price||$26.32 - $33.99
|Author||John Jay Hilfiger|
|Format||Paper book / ebook (PDF)|
It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.
Anyone who wants to analyze data will find something useful here - even if you don't have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start.
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by Jaynal Abedin
One of the most important aspects of computing with data is the ability to manipulate it to enable subsequent analysis and visualization. R offers a wide range of tools for this purpose. Data from any source, be it flat files or databases, can be loaded into R and this will allow you to manipulate data format into structures that support ...
Price: $17.99 | Publisher: Packt Publishing | Release: 2014
by Michael Freeman, Joel Ross
Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience.Leading instructors Michael Fr...
Price: $40.99 | Publisher: Addison-Wesley | Release: 2018
by Brett Lantz
Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms an...
Price: $24.95 | Publisher: Packt Publishing | Release: 2015
by John M. Quick
R is a data analysis tool, graphical environment, and programming language. Without any prior experience in programming or statistical software, this book will help you quickly become a knowledgeable user of R. Now is the time to take control of your data and start producing superior statistical analysis with R.This book will take you on ...
Price: $26.99 | Publisher: Packt Publishing | Release: 2010
by Paurush Praveen Sinha
Bioinformatics is an interdisciplinary field that develops and improves upon the methods for storing, retrieving, organizing, and analyzing biological data. R is the primary language used for handling most of the data analysis work done in the domain of bioinformatics.Bioinformatics with R Cookbook is a hands-on guide that provides you wi...
Price: $32.99 | Publisher: Packt Publishing | Release: 2014
by Gergely Daroczi
R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently.This book will ...
Price: $43.99 | Publisher: Packt Publishing | Release: 2015
by Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident eno...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
by Rafael A Irizarry
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop ski...
Publisher: Leanpub | Release: 2019