Afonso_DiazGrouping users
    Updated 7 days ago
    with

    main as (
    select
    tx_hash,
    block_timestamp,
    sender as user
    from
    aptos.core.fact_transactions
    where
    payload_function ilike '0xccd1a84ccea93531d7f165b90134aa0415feb30e8757ab1632dac68c0055f5c2%'
    ),

    users as (
    select
    user,
    count(distinct tx_hash) as transactions
    from
    main
    group by 1
    )

    select
    case
    when transactions = 1 then 'a. 1 Transaction'
    when transactions <= 5 then 'b. 2 - 5 Transactions'
    when transactions <= 10 then 'c. 6 - 10 Transactions'
    when transactions <= 25 then 'd. 11 - 25 Transactions'
    when transactions <= 50 then 'e. 26 - 50 Transactions'
    else 'f. > 50 Transactions'
    end as user_type,
    count(distinct user) as users
    from
    users
    group by 1

    Last run: 7 days ago
    USER_TYPE
    USERS
    1
    d. 11 - 25 Transactions801
    2
    b. 2 - 5 Transactions5046
    3
    e. 26 - 50 Transactions331
    4
    f. > 50 Transactions577
    5
    c. 6 - 10 Transactions996
    6
    a. 1 Transaction1019
    6
    182B
    110s