potmoOptimism USD price distribution
    Updated 2022-10-16
    select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd) as "1st",
    PERCENTILE_CONT( 0.05 ) WITHIN GROUP (order by price_usd) as "5th",
    PERCENTILE_CONT( 0.1 ) WITHIN GROUP (order by price_usd) as "10th",
    PERCENTILE_CONT( 0.25 ) WITHIN GROUP (order by price_usd) as "25th",
    PERCENTILE_CONT( 0.5 ) WITHIN GROUP (order by price_usd) as "50th",
    PERCENTILE_CONT( 0.75 ) WITHIN GROUP (order by price_usd) as "75th",
    PERCENTILE_CONT( 0.9 ) WITHIN GROUP (order by price_usd) as "90th",
    PERCENTILE_CONT( 0.95 ) WITHIN GROUP (order by price_usd) as "95th",
    PERCENTILE_CONT( 0.99 ) WITHIN GROUP (order by price_usd) as "99th",
    PERCENTILE_CONT( 0.999 ) WITHIN GROUP (order by price_usd) as "99.9"
    from optimism.core.ez_nft_sales


    select '1st' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd)from optimism.core.ez_nft_sales) as price_usd
    union all
    select '10th' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd)from optimism.core.ez_nft_sale) as price_usd
    union all
    select '25th' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd) as price_usd from optimism.core.ez_nft_sales)
    select 'median' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd)) as price_usd
    select '75th' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd)) as price_usd
    select '90th' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd)) as price_usd
    select '95th' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd)) as price_usd
    select '99th' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd)) as price_usd
    select '99.9' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd)) as price_usd
    select '99.99' as percentile, (select PERCENTILE_CONT( 0.01 ) WITHIN GROUP (order by price_usd)) as price_usd
    select 'max' as percentile





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