Value Counts in Pandas: Exploring Frequency and Distribution

Published: 01 January 1970
on channel: Decoding Data Science
90
7

In this video, I will explain the concept of value counts in pandas and how it can be used to analyze the frequency and distribution of character variables. I will demonstrate the code and options available, such as sorting and normalization. Additionally, I will provide insights on the importance of using the "drop na" parameter and how it affects the results. By the end of this video, you will have a clear understanding of value counts and its significance in data analysis.

Chapters

0:00 Introduction
1:19 Preparing the Dataframe
1:58 Exploring Value Counts
4:25 Understanding Options
5:36 Normalization and Percentage
6:04 Sorting and Ascending


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