Topic: random topic (Read 1325 Times)
Recursos Curso Postgresql – Análisis de Datos y Business Intelligence en Udemy
Ejercicios Análisis de Datos
Actualizamos el Curso y recursos mientras tengamos mas estudiantes, pueden dejar sus dudas por acá, para estudiantes inscritos nada mas
select id, sum(id) as total_categorys
from maincategorys
group by id;
select count(id) as total_categorys
from maincategorys;
select * from maincategorys;
select * from subcategorys;
select subcategory_name
from maincategorys
inner join subcategorys
on maincategorys.subcategory_id = subcategorys.id;
select subcategory_name
from maincategorys as a
inner join subcategorys as b
on a.subcategory_id = b.id;
select b.subcategory_name, count(a.id)
from maincategorys as a
inner join subcategorys as b
on a.subcategory_id = b.id
group by b.subcategory_name;
select b.id ,b.subcategory_name, count(a.id)
from maincategorys as a
inner join subcategorys as b
on a.subcategory_id = b.id
where b.id = 2
group by b.subcategory_name,b.id
order by b.id asc;
\d+ posts;
select * from posts;
select count(posts.views) as total_posts from posts;
select posts.post_name,posts.views, count(posts.views) as total_posts
from posts
where posts.views
between 10 and 2000
group by posts.post_name,posts.views
order by posts.views asc;
select posts.post_name,posts.views, count(posts.views) as total_posts
from posts
where posts.views
between 2023-01-19 and 2023-01-19
group by posts.post_name,posts.views
order by posts.views asc;
24-01-2025