1667. Fix Names in a Table | sql |#leetcodechallenge #coding

Welcome to another exciting SQL tutorial! 🚀 In this video, we’ll be solving LeetCode problem 1667: Fix Names in a Table, where we need to standardize the names in a database so that only the first character is uppercase and the rest are lowercase. This is a great opportunity to learn how to manipulate strings in SQL using functions like LEFT, SUBSTRING, UPPER, and LOWER!

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💡 What You’ll Learn in This Video:
How to extract and manipulate parts of a string using SQL functions.
How to format names (or any string) in SQL by ensuring the first letter is capitalized and the remaining letters are lowercase.
Efficient SQL techniques for data cleaning and transformation.
We’ll break down this seemingly simple problem into a step-by-step approach to help you understand how string functions work together to give us the desired result.

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📋 Problem Overview:
The problem gives us a table called Users with two columns: user_id (which is unique for each user) and name (which contains names with mixed case letters). The task is to clean up the names so that they follow a standard format:

The first letter should be uppercase.
All remaining letters should be lowercase.
After fixing the names, the result needs to be displayed in ascending order of user_id.

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🛠️ Solution Breakdown:
We’ll be using the following key SQL functions to solve this problem:

UPPER(): Converts a string to uppercase. We'll use this to make the first letter of the name uppercase.
LEFT(): Extracts a specified number of characters from the left side of the string. We'll use this to grab the first letter of the name.
LOWER(): Converts a string to lowercase. This will help us make sure the rest of the name (after the first letter) is lowercase.
SUBSTRING(): Extracts a part of the string from a specific position. We'll use this to grab the part of the name starting from the second character onward.
In this tutorial, we’ll show you how to combine these functions using the CONCAT() function to create a well-formatted name.

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🚀 Bonus Tips:
Why use SUBSTRING(name, 2)? We use 2 as the starting position because we want to skip the first letter (which we’ve already handled with LEFT(name, 1)).
Data cleaning: This is a real-world skill! You can apply this technique to clean up inconsistent data in any database, especially when working with large datasets in fields like customer management or sales.

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🔥 Who Is This Video For?
This video is perfect for:

Beginners looking to understand SQL string manipulation functions.
Intermediate developers who want to sharpen their SQL skills and practice real-world problems.
LeetCode enthusiasts preparing for coding interviews or challenges.
Make sure to watch the full video to see the solution in action and improve your SQL skills with every step! Don’t forget to like, subscribe, and hit the bell icon to stay updated with more SQL tutorials and coding tips!

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