Data Wrangling with R
Data Wrangling with R begins by showing you how to perform descriptive statistics by exploring and characterizing a dataset using different R functions. You will work through different ways in which you can gather and store data, and then study how to interpret it with different plots generated using ggplot2.
With knowledge of how to clean up data and solve issues while importing and exporting different data types, you will study regular expressions, a powerful tool for matching and replacing complex string patterns. You will be able to transform your data with different data transformation techniques, such as data tidiness, merging and joining, and the split-apply-combine paradigm. Then, you'll learn how to use these techniques in training your machine learning models.
By the end of the book, you will have a portfolio of mini projects that will prove very useful not only as a reference but also as evidence of performing data wrangling tasks.
|Date Of Publication||11 Jun 2019|