iff(year(block_timestamp) = 2022, 'Before Christmas', 'After Christmas') as timespan,

count(distinct tx_hash) as swaps_count,

count(distinct sender) as senders_count,

sum(amount_in_usd) as total_volume_usd,

avg(amount_in_usd) as average_swap_amount

from polygon.sushi.ez_swaps

where block_timestamp between date('2023-01-01') - interval '1 weeks' and date('2023-01-01') + interval '1 weeks'

group by timespan

order by timespan