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

Selecting and filtering data

The dplyr package includes special features with regard to selecting and filtering data from the dataset mentioned. We will focus on two functions that will help us to achieve this functionality:

  • select()
  • filter()

The select() function

This function is used to choose the required display variables based on specific criteria.

The syntax for calling this function is as follows:

select(dataset, column1, column2, ...)  

The implementation of the select() function with respect to our mpg dataset is as follows:

> mpgSubset <- select(mpg, manufacturer, model) > View(mpgSubset)   

This subset will only include information relating to the manufacturer and model. We can remove and add our selection...