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