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

Reading in Excel data with the readxl R package

The readxl R package makes it very easy and straightforward to read data from Excel files into R:

We start by loading the module into R:

library(readxl)

Reading Excel data with readxl is simple; we just need to call the read_excel function and pass in the file path, as follows:

read_excel("data.xls")

readxl supports both the old XLS and the new XLSX format. It guesses the format from the extension of the file being read:

read_excel("data.xlsx")

Excel files sometimes have multiple sheets. For example, the following Excel file has multiple sheets:

You can easily handle them with the readxl package. To see the number of sheets in the Excel document, use the excel_sheets command:

excel_sheets("data.xlsx")
#1> [i] "sheet1" "sheet2"

We can also specify which sheet should be accessed...