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Copy pathextract_insights_2_ur.sql
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extract_insights_2_ur.sql
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use ub_skincare;
/* select the most occurred skin type for different age groups */
select ur.age_range
from
(select age, skin_type,
case when age>=12 and age<=18 then '12-18'
when age>=19 and age<=25 then '19-25'
when age>=26 and age<=34 then '26-34'
when age>=35 and age<=345 then '35-45'
when age>=46 and age<55 then '46-55'
else '55+' end as `age_range`
from user_recommendations) ur
group by ur.`age_range`
order by ur.`age_range`;
/* select number of people in age_range with particular skin_type */
select age_range,
MAX(CASE WHEN skin_type = 'Dry' THEN people_count_by_skin_type ELSE NULL END) AS 'Dry',
MAX(CASE WHEN skin_type = 'Oily' THEN people_count_by_skin_type ELSE NULL END) AS 'Oily',
MAX(CASE WHEN skin_type = 'Sensitive' THEN people_count_by_skin_type ELSE NULL END) AS 'Sensitive',
MAX(CASE WHEN skin_type = 'Combination' THEN people_count_by_skin_type ELSE NULL END) AS 'Combination'
from(
select ur.age_range,ur.skin_type,count(skin_type) as 'people_count_by_skin_type'
from
(select age, skin_type,
case when age>=12 and age<=18 then '12-18'
when age>=19 and age<=25 then '19-25'
when age>=26 and age<=34 then '26-34'
when age>=35 and age<=45 then '35-45'
when age>=46 and age<55 then '46-55'
else '55+' end as 'age_range'
from user_recommendations) ur
group by ur.age_range,skin_type
) temp
group by temp.age_range
order by temp.age_range;
/* select number of people in age_range with particular favourite_cleanser */
with temp_table as
(
select ur.age_range, ur.favorite_cleanser, count(favorite_cleanser) as 'number_of_cleansers'
from
(select age,favorite_cleanser,
case when age>=12 and age<=18 then '12-18'
when age>=19 and age<=25 then '19-25'
when age>=26 and age<=34 then '26-34'
when age>=35 and age<=45 then '35-45'
when age>=46 and age<55 then '46-55'
else '55+' end as 'age_range'
from user_recommendations
) ur
group by ur.age_range,ur.favorite_cleanser
)
select * from temp_table where (temp_table.age_range,temp_table.number_of_cleansers)
IN (select age_range, max(number_of_cleansers)
from temp_table
group by age_range
);
/* select number of people in age_range with particular favorite_moisturiser */
with temp_table as
(
select ur.age_range, ur.favorite_moisturiser, count(favorite_moisturiser) as 'number_of_moisturiser'
from
(select age,favorite_moisturiser,
case when age>=12 and age<=18 then '12-18'
when age>=19 and age<=25 then '19-25'
when age>=26 and age<=34 then '26-34'
when age>=35 and age<=45 then '35-45'
when age>=46 and age<55 then '46-55'
else '55+' end as 'age_range'
from user_recommendations
) ur
group by ur.age_range,ur.favorite_moisturiser
)
select * from temp_table where (temp_table.age_range,temp_table.number_of_moisturiser)
IN (select age_range, max(number_of_moisturiser)
from temp_table
group by age_range
);
/* select number of people in age_range with particular favorite_sunscreen */
with temp_table as
(
select ur.age_range, ur.favorite_sunscreen, count(favorite_sunscreen) as 'number_of_sunscreen'
from
(select age,favorite_sunscreen,
case when age>=12 and age<=18 then '12-18'
when age>=19 and age<=25 then '19-25'
when age>=26 and age<=34 then '26-34'
when age>=35 and age<=45 then '35-45'
when age>=46 and age<55 then '46-55'
else '55+' end as 'age_range'
from user_recommendations
) ur
group by ur.age_range,ur.favorite_sunscreen
)
select * from temp_table where (age_range,number_of_sunscreen)
IN (select age_range, max(number_of_sunscreen)
from temp_table
group by age_range
);