Pandas Data Cleaning Tutorial (Step-by-Step) | Python for Data Analysis 2 | Python Pandas Tutorial
In this video, we're cleaning a real-world dataset using pandas in Python!
We’ll go step-by-step through the most common data cleaning tasks you’ll need for any data analysis project, including: copying a dataframe, renaming columns, dropping columns, filling in missing values, and dealing with duplicated rows.
You can find part one of the pandas for data analysis series here: • Master Python Pandas: Install & Load Your...
CHAPTERS:
00:00 Intro
00:36 Dataframe Copy
01:37 Cleaning Up Column Names and Types
07:14 Dropping Columns
08:51 String Cleaning
11:27 Dealing with Missing Values
17:19 Dealing with Duplicate Values
Link to dataset: https://www.kaggle.com/datasets/arshk...
Arsh Koneru. (2024). LinkedIn Job Postings (2023 - 2024) [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/9...
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