Data Wrangling and Munging in R
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Looking for easier ways to cleanse data? How but more efficient, effective, and readable code? Look no further! I go into depth on what libraries and functions you can use in Rstudio to clean and transform data! I go through advanced techniques that you should be aware of when working with data in the Data world! I go through the apply functions and dpylr functions in depth.
Github: https://github.com/SpencerPao/Data_Sc...
Any questions? Let me know in the comments down below!
0:00 - What is Data Wrangling and Munging?
2:30 - One Hot Encoding
3:21 - The "Apply Family"
9:10 - Dplyr Select, Filters and Pipes
14:47 - Dplyr Mutate and Ifelse conditions
17:24 - Dplyr Aggregate and Summary
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