Data Wrangling with R

More Information
  • Gather and store data from different sources and various file formats
  • Apply basic statistic concepts to better describe data
  • Use ggplot to create scatter plots, histograms, and box plots
  • Employ regular expressions to detect, extract, fix, and replace data patterns
  • Apply shuffling, sampling, and partitioning techniques to transform data
  • Explore packages like plyr, dplyr, map, and mutate for transforming data

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.

  • Gather an impressive portfolio of data wrangling mini projects with multiple activities
  • Gain hands-on experience of the full cycle of data wrangling
  • Get easy explanation for advanced topics like vectorization and ggplot
Page Count 345
Course Length tbc
ISBN 97818385597939781838554712
Date Of Publication 11 Jun 2019