Dealing with MISSING Data! Data Imputation in R (Mean, Median, MICE!)

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Annoyed with empty, NULL, or NA values? Confused as to what imputations are? Look no further! This is a comprehensive guide in understanding what imputations are and how to apply them!

Questions? Let me know down in the comments below!

R "mice" package documentation
cran.r-project.org/web/packages/mice/mice.pdf

Additional instructional material
datascienceplus.com/imputing-missing-data-with-r-m…

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Github:
github.com/SpencerPao/Data_Science/tree/main/Data%…

0:00 - What is Imputation?
0:29 - Mean Median Imputation Pro's and Con's
2:02 - Additional imputation methods
3:13 - Steps for MICE
5:05 - Code setup, understanding data
7:05 - Mean and median imputation
7:42 - MICE Implementation
13:40 - Extracting Imputated data (by specific feature)
15:32 - Using ALL Imputed data + Interpretation
17:37 - Additional Ste