Solving Amazon SQL Problem 3

Описание: DB, Problem, Solution Link:
https://docs.google.com/spreadsheets/...

🕒 In today's SQL tutorial, we're tackling a common workplace challenge: identifying employees with the most frequent late arrivals and early departures. This video is perfect for HR professionals, team leaders, and anyone interested in data-driven employee management.

🔍 What You'll Learn:

Writing an SQL query to analyze employee attendance patterns.
Techniques for counting late arrivals and early departures.
Using conditional aggregation to derive meaningful insights from attendance data.

📊 About the Dataset:
We use a detailed attendance dataset that includes employee IDs, names, attendance dates, clock-in, and clock-out times. This real-world example helps us understand how to apply SQL in monitoring and managing workplace attendance.

👩‍💻 In This Video:

Database Setup: We start by creating an attendance table and inserting sample data.
Crafting the Query: Follow along as I break down the SQL query, explaining each component and its purpose.
Results Analysis: We'll interpret the results to identify the top 3 employees with frequent late arrivals and early departures.

📝 SQL Concepts Covered:

-Table creation and data insertion
-Conditional COUNT in SQL
-Grouping and ordering results
-Limiting query results

🚀 This tutorial is designed for SQL enthusiasts at all levels, offering practical skills for real-world data analysis scenarios.

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