<div><p>Complex relationships are often more easily grasped by looking at a picture, or a graph, than they might be if one tried to absorb the nuances in a verbal description or discern the relationships in columns of numbers. This book is about using graphical methods to understand complex data by
Graphing Data with R: An Introduction
β Scribed by John Jay Hilfiger
- Publisher
- O'Reilly Media
- Year
- 2015
- Tongue
- English
- Leaves
- 125
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Complex relationships are often more easily grasped by looking at a picture, or a graph, than they might be if one tried to absorb the nuances in a verbal description or discern the relationships in columns of numbers. This book is about using graphical methods to understand complex data by highlighting important relationships and trends, reducing the data to simpler forms, and making it possible to take in a lot of numbers at a glance. The tool set used to accomplish the task is the free programming language and library of programs called "R." The book explains, in plain language, how to download R to a Windows, Mac, or Linux computer, how to enter your own data or to copy publicly available data from many web sites, and how to understand, use, and produce effective graphs.
β¦ Subjects
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<div><p>Complex relationships are often more easily grasped by looking at a picture, or a graph, than they might be if one tried to absorb the nuances in a verbal description or discern the relationships in columns of numbers. This book is about using graphical methods to understand complex data by
<div><p>Complex relationships are often more easily grasped by looking at a picture, or a graph, than they might be if one tried to absorb the nuances in a verbal description or discern the relationships in columns of numbers. This book is about using graphical methods to understand complex data by
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
Itβs 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
<p>"<span>One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on β²real worldβ² examples which help students to understand why they are learning these methods." <br><strong>- Dr Roxanne Connelly, University o