Basic_SQL.sql

/* 1. ORDER BY & LIMIT */

/* Write a query to return the 10 earliest orders in the orders table. 
Include the id, occurred_at, and total_amt_usd.*/

SELECT id, occurred_at, total_amt_usd
FROM orders
ORDER BY occurred_at
LIMIT 10;


/*Write a query to return the top 5 orders in terms of largest total_amt_usd. 
Include the id, account_id, and total_amt_usd.*/

SELECT id, occurred_at, total_amt_usd
FROM orders
ORDER BY total_amt_usd DESC
LIMIT 5;


/*Write a query to return the lowest 20 orders in terms of smallest total_amt_usd. 
Include the id, account_id, and total_amt_usd.*/

SELECT id, occurred_at, total_amt_usd
FROM orders
ORDER BY total_amt_usd
LIMIT 20;


/* Write a query that displays the order ID, account ID, and total dollar amount for all the orders, 
sorted first by the account ID (in ascending order), and then by the total dollar amount (in descending order). */

SELECT id, account_id, total_amt_usd
FROM orders
ORDER BY account_id, total_amt_usd DESC;


/*Now write a query that again displays order ID, account ID, and total dollar amount for each order, 
but this time sorted first by total dollar amount (in descending order), and then by account ID (in ascending order).*/

SELECT id, account_id, total_amt_usd
FROM orders
ORDER BY total_amt_usd DESC, account_id;


/* 2. WHERE */

/* Pulls the first 5 rows and all columns from the orders table that have 
a dollar amount of gloss_amt_usd greater than or equal to 1000.*/

SELECT *
FROM orders
WHERE gloss_amt_usd >= 1000
LIMIT 5;


/*Pulls the first 10 rows and all columns from the orders table that 
have a total_amt_usd less than 500.*/

SELECT *
FROM orders
WHERE total_amt_usd < 500
LIMIT 10;


/*Filter the accounts table to include the company name, website, and
 the primary point of contact (primary_poc) just for the Exxon Mobil
 company in the accounts table.*/

SELECT name, website, primary_poc
FROM accounts
WHERE name = 'Exxon Mobil';


/*Arithmetic Operations */

/* Create a column that divides the standard_amt_usd by the standard_qty to
find the unit price for standard paper for each order. Limit the
results to the first 10 orders, and include the id and account_id fields. */

SELECT id, account_id, standard_amt_usd/standard_qty AS unit_price
FROM orders
LIMIT 10;
 

/* Write a query that finds the percentage of revenue that comes from
poster paper for each order. You will need to use only the columns that
end with _usd. (Try to do this without using the total column.) Display
the id and account_id fields also. limit your calculations to the first 10 
orders. */

SELECT id, account_id, 
(poster_amt_usd/(standard_amt_usd+gloss_amt_usd+poster_amt_usd))*100 AS perc_poster_amt
From orders
LIMIT 10;


/* Logical Operators */

/* LIKE */

/* All the companies whose names start with 'C'. */

SELECT name
FROM Accounts
WHERE name LIKE 'C%';


/* All companies whose names contain the string 'one' somewhere in the name. */

SELECT name
FROM Accounts
WHERE name LIKE '%one%';


/* All companies whose names end with 's'. */

SELECT name
FROM Accounts
WHERE name LIKE '%s';


/* IN */

/* Use the accounts table to find the account name, primary_poc, and sales_rep_id for 
Walmart, Target, and Nordstrom. */

SELECT name, primary_poc, sales_rep_id
FROM accounts
WHERE name IN ('Walmart', 'Target', 'Nordstrom');


/* Use the web_events table to find all information regarding individuals who were contacted 
via the channel of organic or adwords. */

SELECT *
FROM web_events
WHERE channel IN ('organic', 'adwords');


/* NOT */

/* Use the accounts table to find the account name, primary poc, and sales rep id for 
all stores except Walmart, Target, and Nordstrom. */

SELECT name, primary_poc, sales_rep_id
FROM accounts
WHERE name NOT IN ('Walmart', 'Target', 'Nordstrom');


/* Use the web_events table to find all information regarding individuals who were contacted 
via any method except using organic or adwords methods. */

SELECT *
FROM web_events
WHERE channel NOT IN ('organic', 'adwords');


/* All the companies whose names do not start with 'C'. */

SELECT name
FROM accounts
WHERE name NOT LIKE 'C%';


/* All companies whose names do not contain the string 'one' somewhere in the name. */

SELECT name
FROM accounts
WHERE name NOT LIKE '%one%';


/* All companies whose names do not end with 's'.*/

SELECT name
FROM accounts
WHERE name NOT LIKE '%s';


/* AND and BETWEEN */

/* Write a query that returns all the orders where the standard_qty is over 1000, 
the poster_qty is 0, and the gloss_qty is 0. */

SELECT *
FROM orders
WHERE standard_qty > 1000 and poster_qty = 0 and gloss_qty = 0;


/* Using the accounts table, find all the companies whose names do not start with 'C' and 
end with 's'. */

SELECT name
FROM accounts
WHERE name NOT LIKE 'C%' and name LIKE '%S';


/* When you use the BETWEEN operator in SQL, do the results include the values of 
your endpoints, or not? Figure out the answer to this important question by writing 
a query that displays the order date and gloss_qty data for all orders 
where gloss_qty is between 24 and 29. Then look at your output to see 
if the BETWEEN operator included the begin and end values or not. */

SELECT occurred_at, gloss_qty
FROM orders
WHERE gloss_qty BETWEEN 24 and 29;

/*Answer: The endpoint values are included. 
The output is the same as "WHERE gloss_qty >= 24 AND gloss_qty <= 29." */


/* Use the web_events table to find all information regarding individuals who were contacted 
via the organic or adwords channels, and started their account at any point in 2016, 
sorted from newest to oldest. */

SELECT *
FROM web_events
WHERE channel IN ('organic', 'adwords') and occurred_at BETWEEN '2016-01-01' and '2017-01-01'
ORDER BY occurred_at DESC;

/* NOTE: While BETWEEN is generally inclusive of endpoints, it assumes the time is at 00:00:00 
(i.e. midnight) for dates. 
This is the reason why we set the right-side endpoint of the period at '2017-01-01'. 
e.g) 2016-01-01 00:00:00 ~ 2017-01-01 00:00:00
*/


/* OR */

/* Find list of orders ids where either gloss_qty or poster_qty is greater than 4000. 
Only include the id field in the resulting table. */

SELECT id
FROM orders
WHERE gloss_qty > 4000 or poster_qty > 4000;


/* Write a query that returns a list of orders where the standard_qty is zero 
and either the gloss_qty or poster_qty is over 1000. */

SELECT *
FROM orders
WHERE standard_qty = 0 AND (gloss_qty > 1000 OR poster_qty > 1000);


/* Find all the company names that start with a 'C' or 'W', and the primary contact 
contains 'ana' or 'Ana', but it doesn't contain 'eana'. */

SELECT *
FROM accounts
WHERE (name LIKE 'C%' OR name LIKE 'W%') 
	AND ((primary_poc LIKE '%ana%' or primary_poc LIKE '%Ana%') 
	AND primary_poc NOT LIKE '%eana');