Inspecting Data with Pandas in Python
TIMESTAMPS
00:00 Importance of data-preprocessing
00:35 What is a clean dataset?
02:16 Pandas installation
02:42 Pandas dataframe
03:10 Downloading the Dataset from Kaggle
03:47 Kaggle dataset vs real-world dataset
04:30 Reading dataset description
05:40 Setting up work directory
06:02 Running Jupyter Lab
07:10 Importing Pandas
07:44 Importing dataset (read_csv)
08:35 df displaying dataset
08:56 Viewing first n lines (head)
09:12 Viewing last n lines (tail)
09:29 Dataset rows x columns (shape)
09:43 Difference between iloc & loc
11:24 iloc & loc examples
13:30 Print selected cell
14:29 Print all rows of a selected column
15:35 Drop a selected column
17:55 Sort values of a selected column
20:15 Conditional statements in Pandas
21:46 Find column fulfilling condition
22:23 Multiple conditional statements (using &)
24:30 Find column fulfilling multiple conditions
28:33 Selecting multiple columns
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