DATE | TYPE | N_USERS | TXS | |
|---|---|---|---|---|
1 | 2023-05-22 00:00:00.000 | DAU | 10 | 102 |
2 | 2023-05-22 00:00:00.000 | No DAU | 38 | 90 |
3 | 2023-05-29 00:00:00.000 | DAU | 8 | 47 |
4 | 2023-05-29 00:00:00.000 | No DAU | 27 | 154 |
5 | 2023-06-05 00:00:00.000 | DAU | 8 | 40 |
6 | 2023-06-05 00:00:00.000 | No DAU | 6 | 19 |
7 | 2023-06-12 00:00:00.000 | DAU | 8 | 22 |
8 | 2023-06-12 00:00:00.000 | No DAU | 5 | 23 |
9 | 2023-06-19 00:00:00.000 | No DAU | 3 | 6 |
10 | 2023-06-19 00:00:00.000 | DAU | 5 | 13 |
11 | 2023-06-26 00:00:00.000 | No DAU | 8 | 14 |
12 | 2023-06-26 00:00:00.000 | DAU | 3 | 18 |
13 | 2023-07-03 00:00:00.000 | DAU | 3 | 12 |
14 | 2023-07-03 00:00:00.000 | No DAU | 2 | 3 |
15 | 2023-07-10 00:00:00.000 | No DAU | 3 | 6 |
16 | 2023-07-10 00:00:00.000 | DAU | 5 | 20 |
17 | 2023-07-17 00:00:00.000 | DAU | 6 | 23 |
18 | 2023-07-17 00:00:00.000 | No DAU | 1 | 2 |
19 | 2023-07-24 00:00:00.000 | DAU | 5 | 18 |
20 | 2023-07-31 00:00:00.000 | DAU | 14 | 133 |
adriaparcerisasdau sei transfers
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
trunc(block_timestamp,'week') as date,
case when sender in (select users from daus) then 'DAU'
else 'No DAU' end as type,
count(distinct sender) as n_users,
count(distinct tx_id) as txs
from sei.core.fact_transfers
where tx_succeeded=TRUE
group by 1,2
)
select * from active_users
where date<current_date
order by 1 asc
Last run: about 1 year ago
79
3KB
29s