"Test case is wrong. It expects to sort in asc order of month_year. -- Write your query here SELECT strftime('%Y-%m', createdat) AS monthyear, COUNT(DISTINCT userid) AS numcustomers, COUNT(t.id) AS num_orders, SUM(price * quantity) AS order_amt FROM transactions t INNER JOIN products p ON t.product_id = p.id GROUP BY month_year ORDER BY month_year ; "
Aneesha K. - "Test case is wrong. It expects to sort in asc order of month_year. -- Write your query here SELECT strftime('%Y-%m', createdat) AS monthyear, COUNT(DISTINCT userid) AS numcustomers, COUNT(t.id) AS num_orders, SUM(price * quantity) AS order_amt FROM transactions t INNER JOIN products p ON t.product_id = p.id GROUP BY month_year ORDER BY month_year ; "See full answer
"Order the result in descending month is not applied in the solution"
Alina G. - "Order the result in descending month is not applied in the solution"See full answer
" select user_id, b.marketing_channel from user_sessions a Left join attribution b on b.sessionid = a.sessionid group by 1,2 HAVING sum(purchasevalue)>100 and min(adclick_timestamp) `"
G B. - " select user_id, b.marketing_channel from user_sessions a Left join attribution b on b.sessionid = a.sessionid group by 1,2 HAVING sum(purchasevalue)>100 and min(adclick_timestamp) `"See full answer
"SELECT a.marketing_channel, AVG(a.purchasevalue) AS avgpurchase_value, SUM(CASE WHEN a.purchasevalue > 0 THEN 1 ELSE 0 END) * 100 / COUNT(a.sessionid) AS conversion_rate FROM attribution a LEFT JOIN user_sessions u ON a.sessionid = u.sessionid GROUP BY a.marketing_channel ORDER BY conversion_rate DESC; "
Soma R. - "SELECT a.marketing_channel, AVG(a.purchasevalue) AS avgpurchase_value, SUM(CASE WHEN a.purchasevalue > 0 THEN 1 ELSE 0 END) * 100 / COUNT(a.sessionid) AS conversion_rate FROM attribution a LEFT JOIN user_sessions u ON a.sessionid = u.sessionid GROUP BY a.marketing_channel ORDER BY conversion_rate DESC; "See full answer
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"SELECT o.order_amount FROM orders o JOIN departments d ON d.departmentid = o.departmentid WHERE d.department_name = 'Fashion' ORDER BY order_amount DESC LIMIT 1 OFFSET 1; `"
Derrick M. - "SELECT o.order_amount FROM orders o JOIN departments d ON d.departmentid = o.departmentid WHERE d.department_name = 'Fashion' ORDER BY order_amount DESC LIMIT 1 OFFSET 1; `"See full answer
"-- Write your query here select count(distinct o.customer_id) as customers, d.department_name from orders o join departments d using (department_id) where extract(year from o.order_date) = 2022 and d.department_name in ('Electronics', 'Fashion') group by 2; `"
Anonymous Roadrunner - "-- Write your query here select count(distinct o.customer_id) as customers, d.department_name from orders o join departments d using (department_id) where extract(year from o.order_date) = 2022 and d.department_name in ('Electronics', 'Fashion') group by 2; `"See full answer
"SELECT d.department_name, SUM(o.orderamount) AS totalrevenue FROM orders o JOIN departments d ON o.departmentid = d.departmentid WHERE o.order_date >= DATE('now', '-12 months') GROUP BY d.department_name ORDER BY total_revenue DESC; "
Jayveer S. - "SELECT d.department_name, SUM(o.orderamount) AS totalrevenue FROM orders o JOIN departments d ON o.departmentid = d.departmentid WHERE o.order_date >= DATE('now', '-12 months') GROUP BY d.department_name ORDER BY total_revenue DESC; "See full answer
"Table user is empy....... Problem with this problem "
Gabriella F. - "Table user is empy....... Problem with this problem "See full answer
"SELECT upsellcampaignid, COUNT(DISTINCT trans.userid) AS eligibleusers FROM campaign JOIN "transaction" AS trans ON transactiondate BETWEEN datestart AND date_end JOIN user ON trans.userid = user.userid WHERE iseligibleforupsellcampaign = 1 GROUP BY upsellcampaignid `"
Alina G. - "SELECT upsellcampaignid, COUNT(DISTINCT trans.userid) AS eligibleusers FROM campaign JOIN "transaction" AS trans ON transactiondate BETWEEN datestart AND date_end JOIN user ON trans.userid = user.userid WHERE iseligibleforupsellcampaign = 1 GROUP BY upsellcampaignid `"See full answer
" with youngsuccrate as( select strftime('%m', postdate) AS postmonth, round(sum(issuccessfulpost)*1.0/count(issuccessfulpost),2)as yascrate from post where userid in (select userid from post_user where age between 0 and 18) group by post_month ), nonyoungsucc_rate as( select strftime('%m', postdate) AS postmonth, round(sum(issuccessfulpost)*1.0/count(issuccessfulpost),2)as nonyasc_rate from post where user_id in (select"
Bhavna S. - " with youngsuccrate as( select strftime('%m', postdate) AS postmonth, round(sum(issuccessfulpost)*1.0/count(issuccessfulpost),2)as yascrate from post where userid in (select userid from post_user where age between 0 and 18) group by post_month ), nonyoungsucc_rate as( select strftime('%m', postdate) AS postmonth, round(sum(issuccessfulpost)*1.0/count(issuccessfulpost),2)as nonyasc_rate from post where user_id in (select"See full answer
"Select interface, Count(case when issuccessfulpost then 1 end) as post_success, Count() as postattempt, ROUND((COUNT(CASE WHEN issuccessfulpost THEN 1 END) * 100 / COUNT()), 2) AS postsuccess_rate from post where interface like 'Iphone%' group by 1 order by postsuccessrate desc `"
Richard B. - "Select interface, Count(case when issuccessfulpost then 1 end) as post_success, Count() as postattempt, ROUND((COUNT(CASE WHEN issuccessfulpost THEN 1 END) * 100 / COUNT()), 2) AS postsuccess_rate from post where interface like 'Iphone%' group by 1 order by postsuccessrate desc `"See full answer
"select e.firstname as firstname, m.salary as manager_salary from employees e join employees m on e.manager_id = m.id where e.salary > m.salary; `"
Ravi K. - "select e.firstname as firstname, m.salary as manager_salary from employees e join employees m on e.manager_id = m.id where e.salary > m.salary; `"See full answer
"Here is my implementation: select marketing_channel, AVG(purchasevalue) as avgpurchase_value from attribution group by marketing_channel order by avgpurchasevalue DESC ; There is no need to copy and past the line of code for calculating the average into order by, just Alias is enough because going by the order of execution in sql, Always, order by is executed after executing select clause."
Maliki U. - "Here is my implementation: select marketing_channel, AVG(purchasevalue) as avgpurchase_value from attribution group by marketing_channel order by avgpurchasevalue DESC ; There is no need to copy and past the line of code for calculating the average into order by, just Alias is enough because going by the order of execution in sql, Always, order by is executed after executing select clause."See full answer
"-- Write your query here select avg(julianday(dateend) - julianday(datestart)) as average_duration from campaign; `"
Anonymous Roadrunner - "-- Write your query here select avg(julianday(dateend) - julianday(datestart)) as average_duration from campaign; `"See full answer
"-- Write your query here select id, (case when p_id is null then 'Root' when pid in (select id from treenode_table) and id in (select pid from treenode_table) then 'Inner' else 'Leaf' end) as node_types from treenodetable order by 1; `"
Anonymous Roadrunner - "-- Write your query here select id, (case when p_id is null then 'Root' when pid in (select id from treenode_table) and id in (select pid from treenode_table) then 'Inner' else 'Leaf' end) as node_types from treenodetable order by 1; `"See full answer
"In the question it says: "above the overall average total posts", which to me implying a >, yet in the solution it uses >= Caused me 1 hr to find out. plz fix"
Peter W. - "In the question it says: "above the overall average total posts", which to me implying a >, yet in the solution it uses >= Caused me 1 hr to find out. plz fix"See full answer
"WITH filtered_posts AS ( SELECT p.user_id, p.issuccessfulpost FROM post p WHERE p.postdate >= '2023-11-01' AND p.postdate < '2023-12-01' ), post_summary AS ( SELECT pu.user_type, COUNT(*) AS post_attempt, SUM(CASE WHEN fp.issuccessfulpost = 1 THEN 1 ELSE 0 END) AS post_success FROM filtered_posts fp JOIN postuser pu ON fp.userid = pu.user_id GROUP BY pu.user_type ) SELECT user_type, post_success, post_attempt, CAST(postsuccess AS FLOAT) / postattempt AS postsuccessrate FROM po"
David I. - "WITH filtered_posts AS ( SELECT p.user_id, p.issuccessfulpost FROM post p WHERE p.postdate >= '2023-11-01' AND p.postdate < '2023-12-01' ), post_summary AS ( SELECT pu.user_type, COUNT(*) AS post_attempt, SUM(CASE WHEN fp.issuccessfulpost = 1 THEN 1 ELSE 0 END) AS post_success FROM filtered_posts fp JOIN postuser pu ON fp.userid = pu.user_id GROUP BY pu.user_type ) SELECT user_type, post_success, post_attempt, CAST(postsuccess AS FLOAT) / postattempt AS postsuccessrate FROM po"See full answer
Asked at Amazon • "Functional Requirement Ingest Book Reviews in real time User in the website needs specify title tho search books, return response is the list of reviews on the books. Non Functional Requirement: User get real-time book reviews> It nees to handle the search among 1 million of active users daily"
Simon O. - "Functional Requirement Ingest Book Reviews in real time User in the website needs specify title tho search books, return response is the list of reviews on the books. Non Functional Requirement: User get real-time book reviews> It nees to handle the search among 1 million of active users daily"See full answer
Asked at Google • "I am going to assume, the person is 50 years old and uses a basic feature phone. Here is how it goes Local Context: When you come back from morning walk, you are your friends stop at a chai point to rest and have tea, what do you talk about ? (Assume he says everything and anything). Imagine there are no friends but you still want to talk and you want your friends and everyone to listen to your thoughts / rant. Imagine you don’t want to talk but you want only listen to what your frien"
Shahnawaz K. - "I am going to assume, the person is 50 years old and uses a basic feature phone. Here is how it goes Local Context: When you come back from morning walk, you are your friends stop at a chai point to rest and have tea, what do you talk about ? (Assume he says everything and anything). Imagine there are no friends but you still want to talk and you want your friends and everyone to listen to your thoughts / rant. Imagine you don’t want to talk but you want only listen to what your frien"See full answer
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