From 81b38f3c8a212b0428e094febf4140e2a86fc0e5 Mon Sep 17 00:00:00 2001
From: Harshal Narkhede <112054214+Harshal-Narkhede@users.noreply.github.com>
Date: Sun, 2 Nov 2025 11:35:01 +0530
Subject: [PATCH] Add files via upload

---
 magnitude_analysis.sql | 81 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 81 insertions(+)
 create mode 100644 magnitude_analysis.sql

diff --git a/magnitude_analysis.sql b/magnitude_analysis.sql
new file mode 100644
index 0000000..3c22ccd
--- /dev/null
+++ b/magnitude_analysis.sql
@@ -0,0 +1,81 @@
+/*
+===============================================================================
+Magnitude Analysis
+===============================================================================
+Purpose:
+    - To quantify data and group results by specific dimensions.
+    - For understanding data distribution across categories.
+
+SQL Functions Used:
+    - Aggregate Functions: SUM(), COUNT(), AVG()
+    - GROUP BY, ORDER BY
+===============================================================================
+*/
+
+-- Find total customers by countries
+SELECT
+    country,
+    COUNT(customer_key) AS total_customers
+FROM gold.dim_customers
+GROUP BY country
+ORDER BY total_customers DESC;
+
+-- Find total customers by gender
+SELECT
+    gender,
+    COUNT(customer_key) AS total_customers
+FROM gold.dim_customers
+GROUP BY gender
+ORDER BY total_customers DESC;
+
+-- Find total products by category
+SELECT
+    category,
+    COUNT(product_key) AS total_products
+FROM gold.dim_products
+GROUP BY category
+ORDER BY total_products DESC;
+
+-- What is the average costs in each category?
+SELECT
+    category,
+    AVG(cost) AS avg_cost
+FROM gold.dim_products
+GROUP BY category
+ORDER BY avg_cost DESC;
+
+-- What is the total revenue generated for each category?
+SELECT
+    p.category,
+    SUM(f.sales_amount) AS total_revenue
+FROM gold.fact_sales f
+LEFT JOIN gold.dim_products p
+    ON p.product_key = f.product_key
+GROUP BY p.category
+ORDER BY total_revenue DESC;
+
+
+-- What is the total revenue generated by each customer?
+SELECT
+    c.customer_key,
+    c.first_name,
+    c.last_name,
+    SUM(f.sales_amount) AS total_revenue
+FROM gold.fact_sales f
+LEFT JOIN gold.dim_customers c
+    ON c.customer_key = f.customer_key
+GROUP BY 
+    c.customer_key,
+    c.first_name,
+    c.last_name
+ORDER BY total_revenue DESC;
+
+-- What is the distribution of sold items across countries?
+SELECT
+    c.country,
+    SUM(f.quantity) AS total_sold_items
+FROM gold.fact_sales f
+LEFT JOIN gold.dim_customers c
+    ON c.customer_key = f.customer_key
+GROUP BY c.country
+ORDER BY total_sold_items DESC;