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Lynda - Cleaning Bad Data in R
magnet:?xt=urn:btih:2b33e09dbc6a68ff1f484e22660f018a60fee8ca&dn=Lynda - Cleaning Bad Data in R
磁力链接详情
Hash值:
2b33e09dbc6a68ff1f484e22660f018a60fee8ca
点击数:
53
文件大小:
225.68 MB
文件数量:
27
创建日期:
2019-2-21 08:00
最后访问:
2024-5-17 05:03
访问标签:
Lynda
-
Cleaning
Bad
Data
in
R
文件列表详情
1.Introduction/01.Data is messy.mp4 5.84 MB
1.Introduction/02.What you need to know.mp4 1.63 MB
2.1. Missing Data/03.Types of missing data.mp4 5.48 MB
2.1. Missing Data/04.Missing values.mp4 21.55 MB
2.1. Missing Data/05.Missing rows.mp4 14.53 MB
2.1. Missing Data/06.Aggregations and missing values.mp4 8.9 MB
3.2. Duplicated Data/07.Duplicated rows and values.mp4 8.33 MB
3.2. Duplicated Data/08.Aggregations in the data set.mp4 9.03 MB
4.3. Formatting Data/09.Converting dates.mp4 10.16 MB
4.3. Formatting Data/10.Unit conversions.mp4 7.49 MB
4.3. Formatting Data/11.Numbers stored as text.mp4 8.3 MB
4.3. Formatting Data/12.Text improperly converted to numbers.mp4 6.11 MB
4.3. Formatting Data/13.Inconsistent spellings.mp4 15.58 MB
5.4. Outliers/14.Screening for outliers.mp4 6.41 MB
5.4. Outliers/15.Handling outliers.mp4 2.83 MB
5.4. Outliers/16.Outliers use case.mp4 7.96 MB
5.4. Outliers/17.Outliers in subgroups.mp4 7.24 MB
5.4. Outliers/18.Detecting illogical values.mp4 6.01 MB
6.5. Tidy Data/19.What is tidy data.mp4 10.51 MB
6.5. Tidy Data/20.Variables, observations, and values.mp4 7.94 MB
6.5. Tidy Data/21.Common data problems.mp4 13.86 MB
6.5. Tidy Data/22.Wide vs. long data sets.mp4 5.51 MB
6.5. Tidy Data/23.Making wide data sets long.mp4 10.62 MB
6.5. Tidy Data/24.Making long data sets wide.mp4 7.59 MB
7.6. Red Flags/25.Suspicious values.mp4 8.85 MB
7.6. Red Flags/26.Suspicious multiples.mp4 4.84 MB
8.Conclusion/27.What's next.mp4 2.57 MB
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