superstore-answer.sql

-- Which are the top 5 products by sales?
SELECT 
    `Product Name`, 
    SUM(`Sales`) AS `Total Sales` 
FROM 
    Superstore 
GROUP BY 
    `Product Name` 
ORDER BY 
    `Total Sales` DESC 
LIMIT 5;

-- Which are the top 5 products by profit?
SELECT 
    `Product Name`, 
    SUM(`Profit`) AS `Total Profit` 
FROM 
    Superstore 
GROUP BY 
    `Product Name` 
ORDER BY 
    `Total Profit` DESC 
LIMIT 5;

-- What is the distribution of sales across different regions?
SELECT 
    `Region`, 
    SUM(`Sales`) AS `Total Sales` 
FROM 
    Superstore 
GROUP BY 
    `Region`;

-- What is the distribution of profit across different regions?
SELECT 
    `Region`, 
    SUM(`Profit`) AS `Total Profit` 
FROM 
    Superstore 
GROUP BY 
    `Region`;

-- What is the trend of sales and profit over time?
-- Note: This requires a date field and SQLite does not directly support extracting YEAR and MONTH from a date. 
-- However, you can create a new column in Excel with YEAR and MONTH before uploading to SQLite and use that column here.

-- Who are the top 5 customers by sales?
SELECT 
    `Customer ID`, 
    SUM(`Sales`) AS `Total Sales` 
FROM 
    Superstore 
GROUP BY 
    `Customer ID` 
ORDER BY 
    `Total Sales` DESC 
LIMIT 5;

-- Who are the top 5 customers by profit?
SELECT 
    `Customer ID`, 
    SUM(`Profit`) AS `Total Profit` 
FROM 
    Superstore 
GROUP BY 
    `Customer ID` 
ORDER BY 
    `Total Profit` DESC 
LIMIT 5;

-- How do sales and profit vary by sub-category?
SELECT 
    `Sub-Category`, 
    SUM(`Sales`) AS `Total Sales`, 
    SUM(`Profit`) AS `Total Profit` 
FROM 
    Superstore 
GROUP BY 
    `Sub-Category`;

-- Are there any particular months where sales and profit spike?
-- Note: This requires a date field and SQLite does not directly support extracting YEAR and MONTH from a date.
-- However, you can create a new column in Excel with YEAR and MONTH before uploading to SQLite and use that column here.

-- What are the top 5 states in terms of sales and profit?
SELECT 
    `State`, 
    SUM(`Sales`) AS `Total Sales`, 
    SUM(`Profit`) AS `Total Profit` 
FROM 
    Superstore 
GROUP BY 
    `State` 
ORDER BY 
    `Total Sales` DESC, 
    `Total Profit` DESC 
LIMIT 5;

-- How are sales and profit distributed among different segments?
SELECT 
    `Segment`, 
    SUM(`Sales`) AS `Total Sales`, 
    SUM(`Profit`) AS `Total Profit` 
FROM 
    Superstore 
GROUP BY 
    `Segment`;

-- How does the profit ratio vary by category and sub-category?
SELECT 
    `Category`, 
    `Sub-Category`, 
    SUM(`Profit`) / SUM(`Sales`) AS `Profit Ratio` 
FROM 
    Superstore 
GROUP BY 
    `Category`, 
    `Sub-Category`;

-- Are there certain times of the year when discounts are more prevalent?
-- Note: This requires a date field and SQLite does not directly support extracting YEAR and MONTH from a date.
-- However, you can create a new column in Excel with YEAR and MONTH before uploading to SQLite and use that column here.

-- What is the average quantity sold by category?
SELECT 
    `Category`, 
    AVG(`Quantity`) AS `Average Quantity` 
FROM 
    Superstore 
GROUP BY 
    `Category`;

-- What are the top 5 most sold products in each category?
-- Note: This is more complex and might be better handled with multiple queries or by using a tool that supports window functions.

-- What is the sales and profit distribution across different product IDs?
SELECT 
    `Product ID`, 
    SUM(`Sales`) AS `Total Sales`, 
    SUM(`Profit`) AS `Total Profit` 
FROM 
    Superstore 
GROUP BY 
    `Product ID`;

-- How do discounts impact sales and profit?
-- Note: This requires case statements or subqueries and might be better handled in a tool that supports these features.

-- Who are the most profitable customers in each segment?
-- Note: This is more complex and might be better handled with multiple queries or by using a tool that supports window functions.