Create 4_measures_exploration.sql

Author: DataWithBaraa

scripts/4_measures_exploration.sql

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+/*
+===============================================================================
+Measures Exploration (Key Metrics)
+===============================================================================
+Purpose:
+ - To calculate aggregated metrics (e.g., totals, averages) for quick insights.
+ - To identify overall trends or spot anomalies.
+
+SQL Functions Used:
+ - COUNT(), SUM(), AVG()
+===============================================================================
+*/
+
+-- Find the Total Sales
+SELECT SUM(sales_amount) AS total_sales FROM gold.fact_sales
+
+-- Find how many items are sold
+SELECT SUM(quantity) AS total_quantity FROM gold.fact_sales
+
+-- Find the average selling price
+SELECT AVG(price) AS avg_price FROM gold.fact_sales
+
+-- Find the Total number of Orders
+SELECT COUNT(order_number) AS total_orders FROM gold.fact_sales
+SELECT COUNT(DISTINCT order_number) AS total_orders FROM gold.fact_sales
+
+-- Find the total number of products
+SELECT COUNT(product_name) AS total_products FROM gold.dim_products
+
+-- Find the total number of customers
+SELECT COUNT(customer_key) AS total_customers FROM gold.dim_customers;
+
+-- Find the total number of customers that has placed an order
+SELECT COUNT(DISTINCT customer_key) AS total_customers FROM gold.fact_sales;
+
+-- Generate a Report that shows all key metrics of the business
+SELECT 'Total Sales' AS measure_name, SUM(sales_amount) AS measure_value FROM gold.fact_sales
+UNION ALL
+SELECT 'Total Quantity', SUM(quantity) FROM gold.fact_sales
+UNION ALL
+SELECT 'Average Price', AVG(price) FROM gold.fact_sales
+UNION ALL
+SELECT 'Total Orders', COUNT(DISTINCT order_number) FROM gold.fact_sales
+UNION ALL
+SELECT 'Total Products', COUNT(DISTINCT product_name) FROM gold.dim_products
+UNION ALL
+SELECT 'Total Customers', COUNT(customer_key) FROM gold.dim_customers;