Learn Data Cleaning, Missing Data in Pandas - EDA 3

Dr. Zohair – AI & NLP Insights · Beginner ·📊 Data Analytics & Business Intelligence ·1y ago

About this lesson

In this video, dive deep into handling missing data as part of the exploratory data analysis (EDA) process. You’ll learn how to manage missing values effectively using various Pandas functions and methods, including: Setting an index with set_index() Using fillna() to replace missing data Filling NA values with dictionaries Applying forward and backward fill methods Understanding how to use the axis parameter in fillna() Interpolating data, especially when working with time series Dropping missing data with dropna() Replacing data with the replace() function Using regular expressions with replace() This tutorial will help you learn missing data handling techniques to ensure your dataset is clean and ready for analysis! About Creator: I am a Ph.D. Computer Science researcher and aim to explore creative content about science, technology, and computer areas. The emphasis is on relevant, relatable, and useful content from around the globe that has a passion for science and technology. Linkedin: https://www.linkedin.com/in/zohairahmed007 Magazine/Blog: https://begindiscovery.com/ Author/Creator: https://begindiscovery.com/zohair/ Facebook: https://fb.com/OfficialZohair/

Original Description

In this video, dive deep into handling missing data as part of the exploratory data analysis (EDA) process. You’ll learn how to manage missing values effectively using various Pandas functions and methods, including: Setting an index with set_index() Using fillna() to replace missing data Filling NA values with dictionaries Applying forward and backward fill methods Understanding how to use the axis parameter in fillna() Interpolating data, especially when working with time series Dropping missing data with dropna() Replacing data with the replace() function Using regular expressions with replace() This tutorial will help you learn missing data handling techniques to ensure your dataset is clean and ready for analysis! About Creator: I am a Ph.D. Computer Science researcher and aim to explore creative content about science, technology, and computer areas. The emphasis is on relevant, relatable, and useful content from around the globe that has a passion for science and technology. Linkedin: https://www.linkedin.com/in/zohairahmed007 Magazine/Blog: https://begindiscovery.com/ Author/Creator: https://begindiscovery.com/zohair/ Facebook: https://fb.com/OfficialZohair/
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