You can use this Splitfile to rebuild the image. Read about inspecting provenance in the documentation.
FROM splitgraph/domestic_us_flights:fc17993fcd2090481ad8cafb651f9e2f61f12f6a533b8523d88600847a48e9dc IMPORT {SELECT fly_month
, passengers
, seats
, flights
FROM flights
WHERE origin_airport = 'JFK'} AS jfk_flights, {SELECT fly_month
, passengers
, seats
, flights
FROM flights
WHERE origin_airport = 'LAX'} AS lax_flights
FROM mildbyte/qoz_vote_fraction:63a21276dc4d3a237bfc67afc1ad85a3dadc9391a53a7290d610249c9957ce04 IMPORT vote_fraction AS votes_by_county, qoz_vote_fraction AS qoz_vote_fraction
FROM splitgraph/2016_election:3835145ada3f07cad99087d1b1071122d58c48783cbfe4694c101d35651fba90 IMPORT {SELECT candidate_normalized
, state_postal
, sum(votes)
FROM precinct_results
GROUP BY candidate_normalized, state_postal} AS votes_by_state
SQL {CREATE TABLE total_flights
AS WITH jfk_flights_monthly AS (SELECT fly_month
, sum(passengers) AS p
, sum(seats) AS s
, sum(flights) AS f
FROM jfk_flights
GROUP BY fly_month)
, lax_flights_monthly AS (SELECT fly_month
, sum(passengers) AS p
, sum(seats) AS s
, sum(flights) AS f
FROM lax_flights
GROUP BY fly_month)
SELECT j.fly_month
, j.p AS jfk_passengers
, j.s AS jfk_seats
, j.f AS jfk_flights
, l.p AS lax_passengers
, l.s AS lax_seats
, l.f AS lax_flights
FROM jfk_flights_monthly AS j
INNER JOIN lax_flights_monthly AS l ON j.fly_month = l.fly_month;
ALTER TABLE total_flights ADD PRIMARY KEY (fly_month)}