May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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Cleaning the dataset
Data cleaning, or rather, tidying up the data is the process of transforming raw data into specific consistent data, which includes analysis in a simpler manner. The R programming language includes a set of comprehensive tools that are specifically designed to clean the data in an effective manner. We will focus on cleaning the dataset over here in a specific way.
The following steps are carried out to perform cleaning attributes of datasets or data frames:
- Include the libraries that are required to clean and tidy up the dataset as follows:
> library(dplyr)> library(tidyr)
- Analyze the summary of our dataset as shown here, which will help us to focus on which attributes we need to work on:
> summary(GlassDataset)Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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