Cleaning and Preparing Data - Data Analysis with Python - Part 7
📚 Get the book "Python for Data Analysis": https://amzn.to/3Kq9W3k
📖 Read online: https://wesmckinney.com/book
🔨 FREE Skillshare 30-day trial: https://skillshare.eqcm.net/5b4ddL
🎬 Playlist Python for Data Analysis: • Best way to Learn Data Analysis with ...
Link to book resources (GitHub): https://github.com/wesm/pydata-book
⏱ Timestamps
0:00 - Introduction
0:47 - Handling Missing Data
2:42 - Filtering Out Missing Data
5:28 - Filling In Missing Data
6:58 - Data Transformation
7:08 - Removing Duplicates
10:05 - Transforming Data Using a Function or Mapping
11:39 - Replacing Values
13:44 - Renaming Axis Indexes
16:35 - Discretization and Binning
24:40 - Detecting and Filtering Outliers
26:09 - Permutation and Random Sampling
27:43 - Computing Indicator/Dummy Variables
29:38 - Extension Data Types
31:08 - String Manipulation
31:19 - Python Built-In String Object Methods
34:04 - Regular Expressions
35:19 - String Functions in pandas
37:06 - Categorical Data
39:02 - Categorical Extension Type in pandas
40:40 - Categorical Methods
42:04 - Summary