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Chapter2-Quiz.txt

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+1. Try pulling all the data from the accounts table, and all the data from the orders table.
+
+Sol: select accounts.* , orders.* from accounts join orders on accounts.id = orders.account_id
+
+2. Try pulling standard_qty, gloss_qty, and poster_qty from the orders table, and the website and the primary_poc from the accounts table.
+
+Sol: select a.website,a.primary_poc,o.gloss_qty,o.standard_qty,o.poster_qty from accounts a join orders o on a.id = o.account_id
+
+3. Provide a table for all web_events associated with account name of Walmart. There should be three columns. Be sure to include the primary_poc, time of the event, and the channel for each event. Additionally, you might choose to add a fourth column to assure only Walmart events were chosen.
+
+Sol: select a.primary_poc,w.channel,w.occurred_at,a.name from accounts a join web_events w on a.id = w.account_id where a.name= 'Walmart'
+
+4. Provide a table that provides the region for each sales_rep along with their associated accounts. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.
+
+Sol: select a.name, s.name , r.name from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id order by a.name 
+
+5. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. Your final table should have 3 columns: region name, account name, and unit price. A few accounts have 0 for total, so I divided by (total + 0.01) to assure not dividing by zero.
+
+Sol: select a.name, r.name , ((o.total_amt_usd)/(o.total)) as per_unit_cost from region r join sales_reps on r.id = sales_reps.region_id 
+join accounts a on a.sales_rep_id = sales_reps.id join orders o on o.account_id = a.id
+
+6. Provide a table that provides the region for each sales_rep along with their associated accounts. This time only for the Midwest region. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.
+
+Sol: select r.name,s.name,a.name from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id where r.name = 'Midwest' 
+order by a.name
+
+7. Provide a table that provides the region for each sales_rep along with their associated accounts. This time only for accounts where the sales rep has a first name starting with S and in the Midwest region. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.
+
+Sol: select r.name,s.name,a.name from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id where r.name = 'Midwest' 
+and s.name like 'S%' 
+order by a.name 
+
+8. Provide a table that provides the region for each sales_rep along with their associated accounts. This time only for accounts where the sales rep has a last name starting with K and in the Midwest region. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.
+
+Sol: select r.name,s.name,a.name from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id where r.name = 'Midwest' 
+and s.name like '% K%' 
+order by a.name 
+
+9. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. However, you should only provide the results if the standard order quantity exceeds 100. Your final table should have 3 columns: region name, account name, and unit price. In order to avoid a division by zero error, adding .01 to the denominator here is helpful total_amt_usd/(total+0.01).
+
+Sol: select r.name,a.name,((o.total_amt_usd)/(o.total + 0.01)) as unit_price  from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id join orders o
+on a.id = o.account_id where o.standard_qty > 100 
+order by a.name
+
+10. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. However, you should only provide the results if the standard order quantity exceeds 100 and the poster order quantity exceeds 50. Your final table should have 3 columns: region name, account name, and unit price. Sort for the smallest unit price first. In order to avoid a division by zero error, adding .01 to the denominator here is helpful (total_amt_usd/(total+0.01).
+
+Sol: select r.name,a.name,((o.total_amt_usd)/(o.total + 0.01)) as unit_price  from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id join orders o
+on a.id = o.account_id where o.standard_qty > 100 and poster_qty > 50
+order by unit_price
+
+11. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. However, you should only provide the results if the standard order quantity exceeds 100 and the poster order quantity exceeds 50. Your final table should have 3 columns: region name, account name, and unit price. Sort for the largest unit price first. In order to avoid a division by zero error, adding .01 to the denominator here is helpful (total_amt_usd/(total+0.01).
+
+Sol: select r.name,a.name,((o.total_amt_usd)/(o.total + 0.01)) as unit_price  from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id join orders o
+on a.id = o.account_id where o.standard_qty > 100 and poster_qty > 50
+order by unit_price
+
+12. What are the different channels used by account id 1001? Your final table should have only 2 columns: account name and the different channels. You can try SELECT DISTINCT to narrow down the results to only the unique values.
+
+Sol: select distinct a.name , w.channel from accounts a join web_events w on a.id = w.account_id where a.id = 1001
+
+13. Find all the orders that occurred in 2015. Your final table should have 4 columns: occurred_at, account name, order total, and order total_amt_usd.
+
+Sol : select o.occurred_at, a.name, o.total,o.total_amt_usd from accounts a join orders o on a.id = o.account_id where date_part('year' , occurred_at) = 2015

Chapter2_Solutions.sql

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+1. Try pulling all the data from the accounts table, and all the data from the orders table.
+
+Sol: select accounts.* , orders.* from accounts join orders on accounts.id = orders.account_id
+
+2. Try pulling standard_qty, gloss_qty, and poster_qty from the orders table, and the website and the primary_poc from the accounts table.
+
+Sol: select a.website,a.primary_poc,o.gloss_qty,o.standard_qty,o.poster_qty from accounts a join orders o on a.id = o.account_id
+
+3. Provide a table for all web_events associated with account name of Walmart. There should be three columns. Be sure to include the primary_poc, time of the event, and the channel for each event. Additionally, you might choose to add a fourth column to assure only Walmart events were chosen.
+
+Sol: select a.primary_poc,w.channel,w.occurred_at,a.name from accounts a join web_events w on a.id = w.account_id where a.name= 'Walmart'
+
+4. Provide a table that provides the region for each sales_rep along with their associated accounts. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.
+
+Sol: select a.name, s.name , r.name from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id order by a.name 
+
+5. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. Your final table should have 3 columns: region name, account name, and unit price. A few accounts have 0 for total, so I divided by (total + 0.01) to assure not dividing by zero.
+
+Sol: select a.name, r.name , ((o.total_amt_usd)/(o.total)) as per_unit_cost from region r join sales_reps on r.id = sales_reps.region_id 
+join accounts a on a.sales_rep_id = sales_reps.id join orders o on o.account_id = a.id
+
+6. Provide a table that provides the region for each sales_rep along with their associated accounts. This time only for the Midwest region. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.
+
+Sol: select r.name,s.name,a.name from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id where r.name = 'Midwest' 
+order by a.name
+
+7. Provide a table that provides the region for each sales_rep along with their associated accounts. This time only for accounts where the sales rep has a first name starting with S and in the Midwest region. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.
+
+Sol: select r.name,s.name,a.name from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id where r.name = 'Midwest' 
+and s.name like 'S%' 
+order by a.name 
+
+8. Provide a table that provides the region for each sales_rep along with their associated accounts. This time only for accounts where the sales rep has a last name starting with K and in the Midwest region. Your final table should include three columns: the region name, the sales rep name, and the account name. Sort the accounts alphabetically (A-Z) according to account name.
+
+Sol: select r.name,s.name,a.name from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id where r.name = 'Midwest' 
+and s.name like '% K%' 
+order by a.name 
+
+9. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. However, you should only provide the results if the standard order quantity exceeds 100. Your final table should have 3 columns: region name, account name, and unit price. In order to avoid a division by zero error, adding .01 to the denominator here is helpful total_amt_usd/(total+0.01).
+
+Sol: select r.name,a.name,((o.total_amt_usd)/(o.total + 0.01)) as unit_price  from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id join orders o
+on a.id = o.account_id where o.standard_qty > 100 
+order by a.name
+
+10. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. However, you should only provide the results if the standard order quantity exceeds 100 and the poster order quantity exceeds 50. Your final table should have 3 columns: region name, account name, and unit price. Sort for the smallest unit price first. In order to avoid a division by zero error, adding .01 to the denominator here is helpful (total_amt_usd/(total+0.01).
+
+Sol: select r.name,a.name,((o.total_amt_usd)/(o.total + 0.01)) as unit_price  from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id join orders o
+on a.id = o.account_id where o.standard_qty > 100 and poster_qty > 50
+order by unit_price
+
+11. Provide the name for each region for every order, as well as the account name and the unit price they paid (total_amt_usd/total) for the order. However, you should only provide the results if the standard order quantity exceeds 100 and the poster order quantity exceeds 50. Your final table should have 3 columns: region name, account name, and unit price. Sort for the largest unit price first. In order to avoid a division by zero error, adding .01 to the denominator here is helpful (total_amt_usd/(total+0.01).
+
+Sol: select r.name,a.name,((o.total_amt_usd)/(o.total + 0.01)) as unit_price  from region r join sales_reps s on r.id = s.region_id join accounts a on a.sales_rep_id = s.id join orders o
+on a.id = o.account_id where o.standard_qty > 100 and poster_qty > 50
+order by unit_price
+
+12. What are the different channels used by account id 1001? Your final table should have only 2 columns: account name and the different channels. You can try SELECT DISTINCT to narrow down the results to only the unique values.
+
+Sol: select distinct a.name , w.channel from accounts a join web_events w on a.id = w.account_id where a.id = 1001
+
+13. Find all the orders that occurred in 2015. Your final table should have 4 columns: occurred_at, account name, order total, and order total_amt_usd.
+
+Sol : select o.occurred_at, a.name, o.total,o.total_amt_usd from accounts a join orders o on a.id = o.account_id where date_part('year' , occurred_at) = 2015