Summary Statistics for different categories using hive - sql

Question

I have below two hive tables called a and b. I need to create descriptive summary stats for it.
Now I want to calculate the summary statistics like below:
Expected output
Sum of Amount Count Sum of Fraud Amount Count of Fraud
0-100 120 2 70 1
100-500 610 3 410 2
>500 1300 2 700 1
Where I need Sum of Amount and count by categories mentioned like 0-100, 100-500 and >500.
Second i also need Sum of fraud amount (Where Fraud = 1) and count of frauds.I need to left join to get fraud column to calculate it.
e.g Category 0-100, The sum of amount is 120 (50+70) and count is 2. And Sum of fraud amount is 70 where fraud is 1. Similarly for others i need to calculate.
Table a
ID Amount Date
1 110 01-01-2020
2 200 02-01-2020
3 50 03-01-2020
4 600 04-01-2020
5 700 05-01-2020
6 70 06-01-2020
7 300 07-01-2020
Table b
ID Fraud
1 1
2 0
3 0
4 0
5 1
6 1
7 0
My Approach where i got overall count and Amount sum but i need category wise like, 0-100, 100-500, and >500
select sum(a.Amount), Count(*), count(b.Fraud)
from sample.data a
left join (select id, fraud from sample.label) b
on a.id = b.id
where date between "2020-01-01" and "2020-01-07"
group by fraud;

Answer 1

If I understand correctly, you just need to aggregate by a case expression:
select (case when d.amount <= 100 then '0-100'
when d.amount <= 500 then '101-500'
else '> 500'
end) as grp,
sum(d.Amount), Count(*), sum(l.Fraud)
from sample.data d left join
sample.label l
on a.id = l.id
where d.date between '2020-01-01' and '2020-01-07'
group by (case when d.amount <= 100 then '0-100'
when d.amount <= 500 then '101-500'
else '> 500'
end);