<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
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
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. Youβll 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 hereβeven if you donβt 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
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
Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. Using graphs as the underlying glue, you can readily join data together and create navigation paths across diverse sets of data. Add Elixir, with its awesome power of concurrency, and you'