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update sql assessment
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‎sql-assesment/SQL_Assessment.md‎ renamed to ‎sql-assesment/README.md‎

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The database contains two tables, store_revenue and marketing_data. Refer to the two CSV
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files, store_revenue and marketing_data to understand how these tables have been created.
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​
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store_revenue contains revenue by date, brand ID, and location.
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​
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create table store_revenue (
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id int not null primary key auto_increment,
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date datetime,
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brand_id int,
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store_location varchar(250),
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revenue float
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);
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​
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marketing_data contains ad impression and click data by date and location.
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​
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create table marketing_data (
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id int not null primary key auto_increment,
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date datetime,
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geo varchar(2),
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impressions float,
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clicks float
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);
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​
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### Please provide a SQL statement between the comments under each question.
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​
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Question #0 (Already done for you as an example)
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store_revenue contains revenue by date, brand ID, and location:
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> create table store_revenue (
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> id int not null primary key auto_increment,
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> date datetime,
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> brand_id int,
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> store_location varchar(250),
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> revenue float
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> );
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marketing_data contains ad impression and click data by date and location:
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> create table marketing_data (
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> id int not null primary key auto_increment,
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> date datetime,
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> geo varchar(2),
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> impressions float,
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> clicks float
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> );
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### Please provide a SQL statement under each question.
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* Question #0 (Already done for you as an example)
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Select the first 2 rows from the marketing data
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*/
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​
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select *
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from marketing_data
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limit 2;
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> select *
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> from marketing_data
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> limit 2;
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​
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/*
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Question #1
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* Question #1
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Generate a query to get the sum of the clicks of the marketing data
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*/
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/*
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Question #2
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​
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* Question #2
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Generate a query to gather the sum of revenue by geo from the store_revenue table
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*/
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/*
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Question #3
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​
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* Question #3
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Merge these two datasets so we can see impressions, clicks, and revenue together by date
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and geo.
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Please ensure all records from each table are accounted for.
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*/
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/*
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Question #4
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​
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* Question #4
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In your opinion, what is the most efficient store and why?
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*/
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/*
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Question #5 (Challenge)
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Generate a query to rank in order the top 10 revenue producing states
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*/
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/*
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​
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End Assignment
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*/
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* Question #5 (Challenge)
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Generate a query to rank in order the top 10 revenue producing states
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​

‎sql-assesment/marketing_data.csv‎

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"2016-01-01","TX","2532","45"
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"2016-01-01","CA","3425","63"
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"2016-01-01","NY","3532","25"
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"2016-01-01","MN","1342","784"
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"2016-01-02","TX","3643","23"
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"2016-01-02","CA","1354","53"
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"2016-01-02","NY","4643","85"
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"2016-01-02","MN","2366","85"
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"2016-01-03","TX","2353","57"
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"2016-01-03","CA","5258","36"
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"2016-01-03","NY","4735","63"
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"2016-01-03","MN","5783","87"
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"2016-01-04","TX","5783","47"
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"2016-01-04","CA","7854","85"
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"2016-01-04","NY","4754","36"
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"2016-01-04","MN","9345","24"
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"2016-01-05","TX","2535","63"
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"2016-01-05","CA","4678","73"
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"2016-01-05","NY","2364","33"
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"2016-01-05","MN","3452","25"

‎sql-assesment/store_revenue.csv‎

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"2016-01-01","1","United States-CA","100"
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"2016-01-01","1","United States-TX","420"
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"2016-01-01","1","United States-NY","142"
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"2016-01-02","1","United States-CA","231"
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"2016-01-02","1","United States-TX","2342"
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"2016-01-02","1","United States-NY","232"
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"2016-01-03","1","United States-CA","100"
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"2016-01-03","1","United States-TX","420"
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"2016-01-03","1","United States-NY","3245"
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"2016-01-04","1","United States-CA","34"
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"2016-01-04","1","United States-TX","3"
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"2016-01-04","1","United States-NY","54"
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"2016-01-05","1","United States-CA","45"
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"2016-01-05","1","United States-TX","423"
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"2016-01-05","1","United States-NY","234"
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"2016-01-01","2","United States-CA","234"
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"2016-01-01","2","United States-TX","234"
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"2016-01-01","2","United States-NY","142"
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"2016-01-02","2","United States-CA","234"
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"2016-01-02","2","United States-TX","3423"
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"2016-01-02","2","United States-NY","2342"
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"2016-01-03","2","United States-CA","234234"
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"2016-01-06","3","United States-TX","3"
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"2016-01-03","2","United States-TX","3"
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"2016-01-03","2","United States-NY","234"
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"2016-01-04","2","United States-CA","2"
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"2016-01-04","2","United States-TX","2354"
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"2016-01-04","2","United States-NY","45235"
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"2016-01-05","2","United States-CA","23"
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"2016-01-05","2","United States-TX","4"
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"2016-01-05","2","United States-NY","124"

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