Popular Methods to Cleaning Data in Python | Pandas
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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 with Pandas to make your data the best ! I go through advanced techniques that you should be aware of when working with data in the Data world! This will provide you the foundational knowledge to have superior datasets than before!
Any questions? Let me know in the comments down below!
Libraries: Pandas
Abalone Data: https://archive.ics.uci.edu/ml/datase...
Data Wrangling & Munging in R: • Data Wrangling and Munging in R
Github: https://github.com/SpencerPao/Wrangling
0:00 - Data Wrangling & Munging
0:35 - Function(s) overview & Dataset
1:45 - Null Value Checks
2:03 - One Hot Encoding
3:53 - Summary Statistics (R Equivalent)
4:58 - Python Apply functions
6:25 - Filtering & Subsets
8:45 - Extracting Specific Values from List
10:00 - Aggregate
11:00 - Column Selection and Mutation
12:30 - Duplicate & Unique extraction
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