ExcelR Assignment Solution for BA and Data Analytics. SQL Assignment 10)a. Rank, Dense_Rank

ExcelR Assignment Solution for BA and Data Analytics. SQL Assignment 10)a. Rank, Dense_Rank

ExcelR Assignment Solution for BA and Data Analytics. SQL Assignment 10 Window functions - Rank, dense_rank, lead and lag


a) Using customers and orders tables, rank the customers based on their order frequency

b) Calculate year wise, month name wise count of orders and year over year (YoY) percentage change. Format the YoY values in no decimals and show in % sign.

Table: Orders

Expected output:

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Master SQL Window Functions with this practical and easy explanation!
In this video, we solve a real-time SQL question:

Q10. Using Customers and Orders tables, rank the customers based on their order frequency.
We also learn the difference between RANK, DENSE_RANK, LEAD, and LAG using a step-by-step demo.

🔍 Topics Covered:

What are SQL Window Functions?

How RANK() works in SQL

How DENSE_RANK() is different from RANK()

Using LEAD and LAG for comparing previous and next values

Customer order frequency calculation

Real-time business use case: Ranking customers by number of orders

Complete SQL query explanation

📌 Sample Query Covered:
select
c.customerNumber,
c.customerName,
count(o.orderNumber) as total_orders,
rank() over (order by count(o.orderNumber) desc) as rn
from customers c
left join orders o on c.customerNumber = o.customerNumber
group by c.customerNumber, c.customerName;

💡 Perfect for:

SQL beginners to advanced learners

Data analysts preparing for interviews

Students learning Window Functions

Anyone working with relational databases


Whether you’re learning MySQL, SQL Server, or PostgreSQL, this video will help you understand how SQL queries actually work — step-by-step!

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