The following database project will create an educational attainment demand forecast for the state of California for years greater than 2010. The demand forecast is the expected number of population who have obtained a certain level of education. The population is divided into age groups and education attainment is divided into different levels. The population of each group is estimated for each year up to year 2050. Implement the following steps to obtain and educational demand forecast for the state of California. The files can be downloaded below.

1. Create a ca_pop schema in your MySQL database.
2. Using your ca_pop schema, create an educational_attainment table which columns match the columns in the Excel spreadsheet ca_pop_educational_attainment.csv.
3. Using your ca_pop schema, create a pop_proj table which columns match the columns in the Excel spreadsheet pop_proj_1970_2050.csv.
4. Using the data loading technique for a csv file you learned in Module 1, load the data in ca_pop_educational_attainment.csv into the table educational_attainment.
5. Using the data loading technique for a csv file you learned in Module 1, load the data in pop_proj_1970_2050.csv into the table pop_proj.
6. Write a query to select the total population in each age group.
7. Use the query from Step 6 as a subquery to find each type of education attained by the population in that age group and the fraction of the population of that age group that has that educational attainment. Label the fraction column output as coefficient.For instance, the fraction of the population in age group 00 - 17 who has an education attainment of Bachelor's degree or higher is 0.0015, which is the coefficient.
8. Create a demographics table from the SQL query from Step 7.
9. Create a query on the pop_proj table which shows the population count by date_year and age.
10. Use that query from Step 9 as a subquery and join it to the demographics table using the following case statement:

11. demographics.age = case when temp_pop.age < 18 then '00 to 17' when temp_pop.age > 64 then '65 to 80+' else '18 to 64' end

    temp_pop is an alias for the subquery. Use the following calculation for the demand output:

    round(sum(temp_pop.total_pop * demographics.coefficient)) as demand

    Output the demand grouped by year and education level

THE BELOW TABLES ARE PORTIONS OF THE CSV FILE FOR QUESTION 3 AND 4. UNABLE TO UPLOAD THE ENTIRE FILES

ca pop educational attainment table

Year	Age	Gender	Educational Attainment	Personal Income	Population Count
1/1/2008 0:00	00 to 17	Male	Children under 15	No Income
1/1/2008 0:00	00 to 17	Male	No high school diploma	No Income	650889
1/1/2008 0:00	00 to 17	Male	No high school diploma	$5,000 to $9,999	30152
1/1/2008 0:00	00 to 17	Male	No high school diploma	$10,000 to $14,999	7092
1/1/2008 0:00	00 to 17	Male	No high school diploma	$15,000 to $24,999	3974
1/1/2008 0:00	00 to 17	Male	No high school diploma	$25,000 to $34,999	2606
1/1/2008 0:00	00 to 17	Male	No high school diploma	$35,000 to $49,999	2227
1/1/2008 0:00	00 to 17	Male	High school or equivalent	No Income

pop_proj table

fips	county	year	age	pop_female	pop_male	pop_total
6001	ALAMEDA	1970	0	8533	8671	17204
6001	ALAMEDA	1970	1	8151	8252	16403
6001	ALAMEDA	1970	2	7753	8015	15768
6001	ALAMEDA	1970	3	8018	8412	16430
6001	ALAMEDA	1970	4	8551	8648	17199
6001	ALAMEDA	1970	5	9012	9208	18220
6001	ALAMEDA	1970	6	9637	9636	19273
6001	ALAMEDA	1970	7	9561	9713	19274
6001	ALAMEDA	1970	8	9648	10008	19656