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

Опубликовано: 21 Март 2021
на канале: Spencer Pao
20,977
523

===== 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/packag...

Additional instructional material
https://datascienceplus.com/imputing-...

Forgot what KNN's are?
   • Applying and Understanding K-Nearest ...  

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   • Understanding and Applying Neural Net...  

Github:
https://github.com/SpencerPao/Data_Sc...

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


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