Inspecting A Pandas DataFrame

In this tutorial, we will learn how to inspect a Pandas dataframe effectively. Once we have loaded our data into a Pandas dataframe object the 1st thing we should do is to inspect the data before the analysis. This will give us ideas on where we should focus on the next steps of data wrangling tasks. Pandas provide efficient ways for inspecting a Pandas dataframe. We will discuss some of the important pandas dataframe method such as head method, tail method, shape attribute, dtypes attribute, info method and much more.

Chapters:

00:00 - Introduction
01:43 - Head & Tail Method
03:45 - Retrieve Shape Of The Pandas DataFrame
05:40 - Check The Data Types Of Variables
09:22 - Identifying Variables With Missing Data
12:43 - Getting Columns & Index Details
13:35 - Describe Method
16:13 - Unique, NUnique, Value_Counts Methods

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