May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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Examining, Cleaning, and Filtering
This chapter will introduce you to techniques to identify and clean missing and erroneous data formats. Concepts such as data manipulation, wrangling, and reshaping will be covered in this chapter. We will also learn how to select and filter data along with handling time series and textual data. These methods will be demonstrated using R packages such as dplyr, tidyr, stringr, forcats, lubridate, hms, and blob.
In this chapter, we will be covering the following topics:
- Reshaping and tidying up missing and erroneous data
- Manipulating and mutating data
- Selecting and filtering data
- Cleaning and manipulating time series data
- Handling complex textual data
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