Another exquisit release
Lynda.Cleaning.Bad.Data.in.R-XQZT
Title: Cleaning Bad Data in R
Publisher: Lynda
Size: 266M (278550410 B)
Files: 6F
Date: 08/23/2018
Course #: 711824
Type: Big Data
Published: 8/22/2018
Modified: N/A
URL: www.lynda.com/course-tutorials/Cleaning-Bad-Data-R/711824-2.html
Author: Mike Chapple
Duration: 1h 54m
Skill: Beginner
Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Notes:
Data integrity is the new focal point of the data science
revolution. Now that everybody is onboard with the role of data in
people's lives and business, it's not an unfair question to ask,
"Can you prove that your data is accurate?" In this course, you can
learn how to identify and address many of the data integrity
issues facing modern data scientists, using R and the
tidyverse. Discover how to handle missing values and
duplicated data. Find out how to convert data between
different units and tackle poorly formatted text. Plus, learn how to
detect outliers, address structural issues, and identify red
flags that indicate potential data quality
issues.eeWhere possible, instructor Mike Chapple shows how to
correct the issues using R, but the same principles can be
applied to any statistical programing language.