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 data
Data cleaning, or rather tidying up the data, is the process of transforming raw data into specific consistent data that 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 be focusing here on cleaning the dataset in a specific way:
- Include the libraries that are needed for cleaning and tidying up the dataset:
> library(dplyr)> library(tidyr)
- Analyze the summary of our dataset, which will help us to focus on which attributes to use:
>summary(longley) GNP Deflator GNP Unemployed Armed Forces Population Year Employed Min. : 83.00 Min. :234.3 Min. :187.0 Min. :145.6 Min. :107.6 Min. :1947 ...
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