<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
- 335
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
π SIMILAR VOLUMES
<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
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 highligh
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