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Copy pathCustomer & Order Analytics
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Customer & Order Analytics
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#In this SQL, I'm querying a database with multiple tables in it to quantify statistics about customer and order data.
This 1 database contains 6 tables of information and was queried using SQLlite.
#1. How many orders were placed in January?
SELECT COUNT(orderid)
FROM BIT_DB.JanSales
WHERE length(orderid)=6
AND orderID <> 'ORDER ID';
#2. How many of those orders were for an iPhone?
SELECT COUNT(orderid)
FROM BIT_DB.JanSales
WHERE Product='iPhone'
AND length(orderid)=6
AND orderid<>'Order ID';
#3. Select the customer account numbers for all the orders that were placed in February.
SELECT distinct acctnum
FROM BIT_DB.customers AS cust
INNER JOIN BIT_DB.FebSales AS feb
ON cust.order_id=feb.orderid
WHERE length(orderid)=6
AND orderid<>'Order ID';
#4. Which product was the cheapest one sold in January, and what was the price?
SELECT Product, min(price)
FROM BIT_DB.JanSales
GROUP BY Product,price
ORDER BY price ASC
LIMIT 1;
#5. What is the total revenue for each product sold in January?
SELECT sum(quantity)*price AS revenue
,product
FROM BIT_DB.JanSales
GROUP BY product;
#6. Which products were sold in February at 548 Lincoln St, Seattle, WA 98101, how many of each were sold, and what was the total revenue?
SELECT
sum(quantity),
product,
sum(quantity)*price AS revenue
FROM BIT_DB.FebSales
WHERE location='548 Lincoln St, Seattle, WA 98101'
GROUP BY product;
#7. How many customers ordered more than 2 products at a time, and what was the average amount spent for those customers?
SELECT
count(distinct cust.acctnum),
AVG(quantity*price)
FROM BIT_DB.FebSales AS Feb
LEFT JOIN BIT_DB.customers AS cust
ON FEB.orderid=cust.order_id
WHERE Feb.Quantity>2
AND length(orderid)=6
AND orderid<>'Order ID';
#8. List all the products sold in Los Angeles in February, and include how many of each were sold.
SELECT Product, SUM(quantity)
FROM BIT_DB.FebSales
WHERE location like '%Los Angeles%'
Group by Product;
#9. Which locations in New York received at least 3 orders in January, and how many orders did they each receive?
SELECT DISTINCT location, count(orderID)
FROM BIT_DB.JanSales
WHERE location like '%NY%'
AND length(orderid) = 6
AND orderid <> 'Order ID'
GROUP BY location
HAVING count(orderID)>2;
#10. How many of each type of headphones were sold in February?
SELECT SUM(Quantity) AS Quantity,
Product
FROM BIT_DB.FebSales
WHERE Product LIKE '%headphones%'
Group By Product;
#11. What was the average amount spent per account in February?
SELECT sum(quantity*price)/count(cust.acctnum)
FROM BIT_DB.FebSales Feb
LEFT JOIN BIT_DB.customers cust
ON FEB.orderid=cust.order_id
WHERE length(orderid) = 6
AND orderid <> 'Order ID';
#12. What was the average quantity of products purchased per account in February?
SELECT sum(quantity)/count(cust.acctnum)
FROM BIT_DB.FebSales Feb
LEFT JOIN BIT_DB.customers cust
ON FEB.orderid=cust.order_id
WHERE length(orderid) = 6
AND orderid <> 'Order ID';
#13. Which product brought in the most revenue in January and how much revenue did it bring in total?
SELECT product,
sum(quantity*price)
FROM BIT_DB.JanSales
GROUP BY product
ORDER BY sum(quantity*price) desc
LIMIT 1;