Excel RegEx Support For Pattern Matching - Episode 2642

Microsoft Excel Tutorial: Excel Adds RegEx Support for Pattern Matching in Excel.

🎥 Unlocking the Power of RegEx in Excel: New Features Explained! 📊

Hey Excel enthusiasts! 🌟 In today's video, we're diving into an exciting new feature: RegEx support in Excel for pattern matching. If you enjoy exploring new Excel functionalities, this is a must-watch! Don't forget to Like this video to help it reach more people. 👍

🔥 What's New? 🔥
Excel has introduced three powerful RegEx functions: RegExTest, RegExReplace, and RegExExtract. These functions are set to revolutionize how we handle data patterns. Plus, there are updates to XLOOKUP and XMATCH functions that now include RegEx capabilities! Let's explore how these tools can make your data tasks easier and more efficient.

🔍 Understanding RegEx Functions 🔍

RegExTest: Quickly determine if a pattern exists within your text.
RegExExtract: Extract specific patterns from your data.
RegExReplace: Replace patterns with desired characters or symbols. Perfect for anonymizing sensitive information like account numbers or patient IDs.
📈 Practical Applications 📈
We'll walk through real-world examples, like filtering data with digits, extracting specific formats, and masking sensitive data. These demos will help you see the immense potential RegEx brings to your Excel toolkit.

📝 Bonus Tips & Tricks 📝
Discover how to use these functions with the FILTER function and how to handle multi-part patterns. Plus, learn some insider tips on using RegEx efficiently in Excel. Whether you're new to RegEx or looking to refine your skills, this video has something for everyone.

💬 Join the Conversation! 💬
If you have questions or insights, drop them in the comments below. Let’s learn together! And don’t forget to visit MrX.CL/gpt to explore over 2,500 Excel tutorials and find answers to your specific questions.

Thanks for watching! Remember to Like, Subscribe, and Ring the Bell for more Excel tips from MrExcel. See you next time! 🎉

#Excel #RegEx #PatternMatching #ExcelTips #MrExcel #DataAnalysis #ExcelFunctions #Tutorial #LearnExcel

Table of Contents
(0:00) Intro to RegEx in Excel
(0:10) MrExcel GPT to answer your Excel questions
(0:26) What is RegEx?
(0:57) REGEXTEST function in Excel
(1:21) Using REGEXTEST inside of FILTER in Excel
(1:34) REGEXEXTRACT function in Excel
(2:28) REGEXREPLACE function in Excel
(2:50) REGEX in Excel lookup
(3:00) Excel RegEx returning multiple groups of data
(3:56) Extracting City and State for each Stuckey's Restaurant
(5:13) Hiding all but last 4 digits of Social Security Number
(6:02) Wrap-up

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[mangezable]

Fascinating! I held a lecture on regex to my colleagues two days ago, so this upload was a nice coincidence. Will be interesting to see this in Excel! 😊

[roywilson]

Thanks for the video, I can't wait to get my hands on the Regex functions, having already used them in python and can see very many use cases with Excel in data cleansing and so on.

[daXcel]

Thanks for the video. Flash Fill too does a pretty good job in these situations.

[vinamrachandra]

Grep, short for “global regular expression print”, was a command, I first encountered in Unix, used for searching and matching text patterns in files contained in the regular expressions.

[subjectline]

Regular Expressions in Excel, woohoo!

[Excelambda]

Great Video!!
Do not have the update yet to check.
2:25 the difference could be :
one way : all the digits should have at least one occurrence...and since there are digits with no occurrence...no match ; the other way zero or more occurrences

[Corey_Bee]

I think validating a list of email addresses would be a great use case. The precise requirements can be a bit confusing if you go for perfection, but once you settle on the requirements, regex is a great way to validate against them.

[vinamrachandra]

I tried with B 90210 and used =REGEXEXTRACT(H13, "\d*", 1)

RESULT spilled over 4 rows with first, second, and fourth returning blank and third returning 90210. Looks like REGEXTRACT is returning blank if pattern is not matched. That is why =REGEXEXTRACT(H13, "\d*") works only when number is at the start of the string.

=CONCAT(REGEXEXTRACT(H13, "\d*", 1)) is working. Either a bug or poor design.

[DM-pypj]

will it have same limitations as _VBScript_RegExp_55_ ? E.g., no LookBehinds, Named Capturing Groups etc

[Graham-uces]

Regular expressions that potentially have an infinite number of matches should be avoided. \d* can potentially match an infinite number of empty strings. I suspect the way Microsoft have implemented means it stops at so many matches, so if number first it matches and then breaks after the infinite matches. When there is something before the number, the infinite matches come first. \d+ is a lot safer.