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AVERAGE SELLING PRICE | SQL | Leetcode

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🚀 Mastering SQL: Calculating Average Selling Price | LeetCode Problem 1251 Solved! 🚀
Hey there, code queens and data divas! 👑 Welcome back to SheCodes, where we turn complex coding challenges into bite-sized, delicious morsels of knowledge. Today, we're diving deep into the world of SQL with a juicy problem straight from LeetCode: Calculating the Average Selling Price (Problem 1251).
💼 Real-World Relevance Alert! 💼
Before we jump in, let's talk about why this problem matters. Imagine you're working for an e-commerce giant or a trendy startup. Understanding product pricing and sales trends is CRUCIAL. This SQL challenge mirrors real-world scenarios where you'd need to analyze pricing data to make informed business decisions. Master this, and you're one step closer to being the data wizard every tech company dreams of hiring!
🎯 Problem Breakdown:
We're dealing with two tables:
1️⃣ Prices: Holds product IDs, price periods, and... you guessed it, prices!
2️⃣ UnitsSold: Tracks product sales with dates and quantities.
Our mission? Calculate the average selling price for each product, rounded to two decimal places. Sounds simple, right? But wait, there's a twist!
🌪️ The Twist:
- Price changes over time? Check.
- Multiple sales on different dates? Double-check.
- Potential for zero sales or missing data? Triple-check!
This isn't your grandma's SQL query (although, if your grandma's writing complex SQL, major props to her! 👵💻).
🧠 Why This Problem Will Make You a Better Coder:
1. Date Range Handling: Learn to match sales with the correct prices based on date ranges.
2. Aggregation Mastery: Flex those SUM and AVG muscles!
3. Error Handling: Tackle division by zero like a pro.
4. Real-world Data Challenges: Deal with messy, imperfect data scenarios.
🛠️ Tools We'll Use:
- SQL (of course!)
- JOIN operations (because data loves to mingle)
- Aggregation functions (SUM, we're looking at you)
- COALESCE and NULLIF (our secret weapons against NULL values)
- ROUND function (because who doesn't love precision?)
Intrigued? You should be! This query is packed with SQL goodness, and we'll unpack every juicy bit of it in the video.
🎓 What You'll Learn:
Advanced JOIN techniques
Handling date ranges in SQL
Aggregation with a twist
Dealing with NULL and zero values
Rounding and formatting results
How to approach complex, multi-table problems
🚀 Level-Up Your SQL Game:
Whether you're a SQL newbie or a seasoned pro, this video has something for everyone. We'll start with the basics and ramp up to advanced concepts, ensuring you're not just copying code, but understanding every line.
🗣️ Community Corner:
Learning is better together! After watching:
Drop your questions in the comments
Share your own solutions or optimization ideas
Tell us about a real-world problem you've solved with similar SQL techniques.
We read and respond to every comment, so don't be shy!
🔥 Hot Topics We'll Cover:
-The art of the LEFT JOIN
-COALESCE vs. IFNULL: What's the difference and when to use each
-The power of NULLIF in preventing division by zero
-Why rounding matters in financial calculations
-How to handle edge cases like products with no sales
🌟 Spread the Love:
If you find this video helpful, give it a thumbs up and share it with your coding buddies. Let's grow this community of awesome women in tech together!
🚀 Ready to level up your SQL skills and tackle real-world data challenges? Hit that play button now! Your future data analyst/engineer/scientist self will thank you.
Remember, at SheCodes, we don't just write queries – we craft data stories. Let's write yours together! 💖💻✨
#SQL #DataScience #WomenInTech #CodingTutorial #LeetCode #TechEducation #DataAnalysis #SheCodes #WomenWhoCode #techcareer
Remember, every great data story starts with a single query. Let's write some amazing ones together! See you in the video! 🚀👩💻✨
Hey there, code queens and data divas! 👑 Welcome back to SheCodes, where we turn complex coding challenges into bite-sized, delicious morsels of knowledge. Today, we're diving deep into the world of SQL with a juicy problem straight from LeetCode: Calculating the Average Selling Price (Problem 1251).
💼 Real-World Relevance Alert! 💼
Before we jump in, let's talk about why this problem matters. Imagine you're working for an e-commerce giant or a trendy startup. Understanding product pricing and sales trends is CRUCIAL. This SQL challenge mirrors real-world scenarios where you'd need to analyze pricing data to make informed business decisions. Master this, and you're one step closer to being the data wizard every tech company dreams of hiring!
🎯 Problem Breakdown:
We're dealing with two tables:
1️⃣ Prices: Holds product IDs, price periods, and... you guessed it, prices!
2️⃣ UnitsSold: Tracks product sales with dates and quantities.
Our mission? Calculate the average selling price for each product, rounded to two decimal places. Sounds simple, right? But wait, there's a twist!
🌪️ The Twist:
- Price changes over time? Check.
- Multiple sales on different dates? Double-check.
- Potential for zero sales or missing data? Triple-check!
This isn't your grandma's SQL query (although, if your grandma's writing complex SQL, major props to her! 👵💻).
🧠 Why This Problem Will Make You a Better Coder:
1. Date Range Handling: Learn to match sales with the correct prices based on date ranges.
2. Aggregation Mastery: Flex those SUM and AVG muscles!
3. Error Handling: Tackle division by zero like a pro.
4. Real-world Data Challenges: Deal with messy, imperfect data scenarios.
🛠️ Tools We'll Use:
- SQL (of course!)
- JOIN operations (because data loves to mingle)
- Aggregation functions (SUM, we're looking at you)
- COALESCE and NULLIF (our secret weapons against NULL values)
- ROUND function (because who doesn't love precision?)
Intrigued? You should be! This query is packed with SQL goodness, and we'll unpack every juicy bit of it in the video.
🎓 What You'll Learn:
Advanced JOIN techniques
Handling date ranges in SQL
Aggregation with a twist
Dealing with NULL and zero values
Rounding and formatting results
How to approach complex, multi-table problems
🚀 Level-Up Your SQL Game:
Whether you're a SQL newbie or a seasoned pro, this video has something for everyone. We'll start with the basics and ramp up to advanced concepts, ensuring you're not just copying code, but understanding every line.
🗣️ Community Corner:
Learning is better together! After watching:
Drop your questions in the comments
Share your own solutions or optimization ideas
Tell us about a real-world problem you've solved with similar SQL techniques.
We read and respond to every comment, so don't be shy!
🔥 Hot Topics We'll Cover:
-The art of the LEFT JOIN
-COALESCE vs. IFNULL: What's the difference and when to use each
-The power of NULLIF in preventing division by zero
-Why rounding matters in financial calculations
-How to handle edge cases like products with no sales
🌟 Spread the Love:
If you find this video helpful, give it a thumbs up and share it with your coding buddies. Let's grow this community of awesome women in tech together!
🚀 Ready to level up your SQL skills and tackle real-world data challenges? Hit that play button now! Your future data analyst/engineer/scientist self will thank you.
Remember, at SheCodes, we don't just write queries – we craft data stories. Let's write yours together! 💖💻✨
#SQL #DataScience #WomenInTech #CodingTutorial #LeetCode #TechEducation #DataAnalysis #SheCodes #WomenWhoCode #techcareer
Remember, every great data story starts with a single query. Let's write some amazing ones together! See you in the video! 🚀👩💻✨