🧹 Data Cleaning with Regex: Master Text Normalization for Beginners

🧼 Transform messy text data into clean, structured formats using the power of regular expressions! This tutorial is designed for beginners and covers the fundamentals of data cleaning with Regex, making it easy to standardize text, validate data, and extract specific information.

✨ Learn why Regex is essential for data preprocessing and how it can save you valuable time and effort. We'll explore basic Regex patterns, demonstrate practical examples for cleaning phone numbers and normalizing emails, and provide essential best practices to ensure your data cleaning processes are efficient and accurate.

🔑 Whether you're working with customer data, analyzing survey responses, or managing any type of text-based information, this video will equip you with the skills you need to handle inconsistencies and create reliable datasets. Say goodbye to data chaos and hello to streamlined, standardized information! 📊

#DataCleaning #Regex #TextNormalization #DataPreprocessing #BeginnerTutorial #DataAnalysis #DataScience #Programming #Coding #codelucky
Chapters:
00:00 - Data Cleaning with Regex
00:15 - What is Data Cleaning?
00:56 - Why Regex for Data Cleaning?
01:38 - Basic Regex Patterns
02:43 - Cleaning Phone Numbers
03:49 - Email Normalization
04:33 - Text Standardization
05:36 - Best Practices & Summary
06:11 - Outro

🔗 Stay Connected:
▶️ YouTube:    / @thecodelucky  
📱 Instagram:   / thecodelucky  
📘 Facebook:   / codeluckyfb  
🌐 Website: https://codelucky.com

⭐ Support us by Liking, Subscribing, and Sharing!
💬 Drop your questions in the comments below
🔔 Hit the notification bell to never miss an update

#CodeLucky #WebDevelopment #Programming