Lynda - Cleaning Bad Data in R

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Lynda - Cleaning Bad Data in R 1.Introduction
  • 01.Data is messy.en.srt (1.9 KB)
  • 01.Data is messy.mp4 (5.8 MB)
  • 02.What you need to know.en.srt (2.1 KB)
  • 02.What you need to know.mp4 (1.6 MB)
2.1. Missing Data
  • 03.Types of missing data.en.srt (5.9 KB)
  • 03.Types of missing data.mp4 (5.5 MB)
  • 04.Missing values.en.srt (20.0 KB)
  • 04.Missing values.mp4 (21.6 MB)
  • 05.Missing rows.en.srt (9.6 KB)
  • 05.Missing rows.mp4 (14.5 MB)
  • 06.Aggregations and missing values.en.srt (7.9 KB)
  • 06.Aggregations and missing values.mp4 (8.9 MB)
3.2. Duplicated Data
  • 07.Duplicated rows and values.en.srt (8.2 KB)
  • 07.Duplicated rows and values.mp4 (8.3 MB)
  • 08.Aggregations in the data set.en.srt (6.1 KB)
  • 08.Aggregations in the data set.mp4 (9.0 MB)
4.3. Formatting Data
  • 09.Converting dates.en.srt (9.3 KB)
  • 09.Converting dates.mp4 (10.2 MB)
  • 10.Unit conversions.en.srt (6.5 KB)
  • 10.Unit conversions.mp4 (7.5 MB)
  • 11.Numbers stored as text.en.srt (5.7 KB)
  • 11.Numbers stored as text.mp4 (8.3 MB)
  • 12.Text improperly converted to numbers.en.srt (5.2 KB)
  • 12.Text improperly converted to numbers.mp4 (6.1 MB)
  • 13.Inconsistent spellings.en.srt (12.4 KB)
  • 13.Inconsistent spellings.mp4 (15.6 MB)
5.4. Outliers
  • 14.Screening for outliers.en.srt (8.1 KB)
  • 14.Screening for outliers.mp4 (6.4 MB)
  • 15.Handling outliers.en.srt (3.5 KB)
  • 15.Handling outliers.mp4 (2.8 MB)
  • 16.Outliers use case.en.srt (5.8 KB)
  • 16.Outliers use case.mp4 (8.0 MB)
  • 17.Outliers in subgroups.en.srt (6.5 KB)
  • 17.Outliers in subgroups.mp4 (7.2 MB)
  • 18.Detecting illogical values.en.srt (5.8 KB)
  • 18.Detecting illogical values.mp4 (6.0 MB)
6.5. Tidy Data
  • 19.What is tidy data.en.srt (6.4 KB)
  • 19.What is tidy data.mp4 (10.5 MB)
  • 20.Variables, observations, and values.en.srt (8.3 KB)
  • 20.Variables, observations, and values.mp4 (7.9 MB)
  • 21.Common data problems.en.srt (13.4 KB)
  • 21.Common data problems.mp4 (13.9 MB)
  • 22.Wide vs. long data sets.en.srt (5.9 KB)
  • 22.Wide vs. long data sets.mp4 (5.5 MB)
  • 23.Making wide data sets long.en.srt (8.3 KB)
  • 23.Making wide data sets long.mp4 (10.6 MB)
  • 24.Making long data sets wide.en.srt (6.6 KB)
  • 24.Making long data sets wide.mp4 (7.6 MB)
7.6. Red Flags
  • 25.Suspicious values.en.srt (8.2 KB)
  • 25.Suspicious values.mp4 (8.8 MB)
  • 26.Suspicious multiples.en.srt (4.0 KB)
  • 26.Suspicious multiples.mp4 (4.8 MB)
8.Conclusion
  • 27.What's next.en.srt (2.1 KB)
  • 27.What's next.mp4 (2.6 MB)
Exercise Files
  • Ex_Files_Cleaning_Bad_Data_R.zip (39.8 MB)

Description

Code:

Title: Cleaning Bad Data in R
Publisher: Lynda
Type: Big Data
URL: https://www.lynda.com/course-tutorials/Cleaning-Bad-Data-R/711824-2.html
Author: Mike Chapple
Duration: 1h 54m
Skill: Beginner



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265.6 MB
seeders:16
leechers:8
Lynda - Cleaning Bad Data in R

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Download torrent
265.6 MB
seeders:16
leechers:8
Lynda - Cleaning Bad Data in R

Torrent hash: 2B33E09DBC6A68FF1F484E22660F018A60FEE8CA