mariyaSellers Breakdown based on total transactions
    Updated 2022-11-11
    with top_10 as ( select nft_address , sum(price_usd) as volume
    from ethereum.core.ez_nft_sales
    where price_usd is not null and block_timestamp::date >= CURRENT_DATE - 180
    group by 1
    order by 2 desc
    limit 10)
    ,
    final as ( select seller_address,project_name, count(DISTINCT(tx_hash)) as total_sales, count(DISTINCT(buyer_address)) total_buyer,
    count(DISTINCT(seller_address)) as total_seller, sum(price_usd) as total_volume, avg(price_usd) as avg_price,
    count(DISTINCT(tokenid)) as total_nfts
    from ethereum.core.ez_nft_sales a join ethereum.core.dim_labels b on a.nft_address = b.address
    where nft_address in ( select nft_address from top_10)
    and block_timestamp::date >= CURRENT_DATE - 180
    group by 1,2)

    select project_name , count(DISTINCT(seller_address)) as seller,
    case when total_nfts = 1 then '1 NFT'
    when total_nfts = 2 then '2 NFTs'
    when total_nfts = 3 then '3 NFTs'
    when total_nfts = 4 then '4 NFTs'
    when total_nfts >= 5 then '=+ 5 NFTs' end as type
    from final
    where project_name is not null
    group by 1,3
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