DATE | NEW_DAUS | Total new DAUs | |
|---|---|---|---|
1 | 2023-05-22 00:00:00.000 | 10 | 10 |
2 | 2023-05-29 00:00:00.000 | 2 | 12 |
3 | 2023-06-05 00:00:00.000 | 5 | 17 |
4 | 2023-06-12 00:00:00.000 | 2 | 19 |
5 | 2023-06-26 00:00:00.000 | 1 | 20 |
6 | 2023-07-10 00:00:00.000 | 3 | 23 |
7 | 2023-07-24 00:00:00.000 | 2 | 25 |
8 | 2023-07-31 00:00:00.000 | 2 | 27 |
9 | 2023-08-07 00:00:00.000 | 29 | 56 |
10 | 2023-08-14 00:00:00.000 | 1796 | 1852 |
11 | 2023-08-21 00:00:00.000 | 305 | 2157 |
12 | 2023-08-28 00:00:00.000 | 87 | 2244 |
13 | 2023-09-04 00:00:00.000 | 99 | 2343 |
14 | 2023-09-11 00:00:00.000 | 40 | 2383 |
15 | 2023-09-18 00:00:00.000 | 151 | 2534 |
16 | 2023-09-25 00:00:00.000 | 22 | 2556 |
17 | 2023-10-02 00:00:00.000 | 46 | 2602 |
18 | 2023-10-09 00:00:00.000 | 14 | 2616 |
19 | 2023-10-16 00:00:00.000 | 12 | 2628 |
20 | 2023-10-23 00:00:00.000 | 24 | 2652 |
adriaparcerisasdau base 2 copy copy
Updated 2024-02-20
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›
⌄
WITH
daus as (
SELECT
distinct sender as users,
trunc(block_timestamp,'week') as weeks,
count(distinct trunc(block_timestamp,'day')) as active_days
from sei.core.fact_transfers
group by 1,2
having active_days>=4
),
active_users as (
SELECT
distinct sender as user,
min(block_timestamp) as debut
from sei.core.fact_transfers
where sender in (select users from daus)
group by 1
)
select
trunc(debut,'week') as date,
count(distinct user) as new_DAUs,
sum(new_DAUs) over (order by date) as "Total new DAUs"
from active_users
group by 1
order by 1 asc
Last run: about 1 year ago
36
1KB
5s