Book Image

Hands-On Exploratory Data Analysis with R

By : Radhika Datar, Harish Garg
Book Image

Hands-On Exploratory Data Analysis with R

By: Radhika Datar, Harish Garg

Overview of this book

Hands-On Exploratory Data Analysis with R will help you build a strong foundation in data analysis and get well-versed with elementary ways to analyze data. You will learn how to understand your data and summarize its characteristics. You'll also study the structure of your data, and you'll explore graphical and numerical techniques using the R language. This book covers the entire exploratory data analysis (EDA) process—data collection, generating statistics, distribution, and invalidating the hypothesis. As you progress through the book, you will set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using DOE Scatter Plot and SML2010 for multifactor, optimization, and regression data problems. By the end of this book, you will be able to successfully carry out a preliminary investigation on any dataset, uncover hidden insights, and present your results in a business context.
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Setting Up Data Analysis Environment
7
Section 2: Univariate, Time Series, and Multivariate Data
11
Section 3: Multifactor, Optimization, and Regression Data Problems
14
Section 4: Conclusions

Converting rectangular data into R with the readr R package

Tabular data, or flat rectangular data, comes in many different formats, including CSV and TSV. R's readr package provides an easy and flexible way to import all kinds of data into R. It also fails gracefully if there are issues with the data you are trying to import. You can load the readr package with the following command:

library(readr)

The simplest way to import data with readr package is to call the specific read data function for different file types, depending on the data you are reading. For example, in the following screenshot, we have a CSV file containing data about automobiles. This data is also bundled as an example dataset with the readr package, as shown in the following screenshot:

Use the following command to read a particular CSV file in each column:

read_csv("mtcars.csv")#> Parsed...