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

===== Likes: 307 👍: Dislikes: 2 👎: 99.353% : Updated on 01-21-2023 11:57:17 EST ===== 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 https://cran.r-project.org/web/packages/mice/mice.pdf Additional instructional material https://datascienceplus.com/imputing-missing-data-with-r-mice-package/ Forgot what KNN's are? https://youtu.be/htnZp__02qw What are Neural Networks again? https://youtu.be/8M1EqpVhkmI Github: https://github.com/SpencerPao/Data_Science/tree/main/Data%20Imputations 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 Steps