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Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

By : Radhika Datar, Harish Garg
2.3 (3)
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Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

2.3 (3)
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)
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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

Density plots

The major shortcoming of histograms (which we discussed in an earlier section) is that they are quite sensitive to the choice of bin margins and the number of bins. The best alternative to this is to use density plots, which are regarded as a smoothed version of a histogram. We will implement the following steps to create density plots for an iris dataset:

  1. Include the library within the R workspace. This is considered a mandatory step:
> library(ggplot2)
Attaching package: 'ggplot2'
The following object is masked _by_ '.GlobalEnv':
mpg
Warning message:
package 'ggplot2' was built under R version 3.5.3
Ignore the warning messages if there are any. The warning messages are usually determined with respect to system configuration.
  1. Have a look at the parameters to determine which plot should be used for density plot creation:

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