You can use this Splitfile to rebuild the image. Read about inspecting provenance in the documentation.
SQL {CREATE TABLE county_votes
AS WITH votes_by_county AS (SELECT state_postal
, pg_catalog.substring(lpad(county_fips::text
, 5
, '0')
, 3
, 6) AS county_fips_short
, sum(CASE
WHEN (candidate_normalized = 'trump')
THEN votes
ELSE 0
END) AS trump_votes
, sum(CASE
WHEN (candidate_normalized = 'clinton')
THEN votes
ELSE 0
END) AS clinton_votes
, sum(votes) AS total_votes
FROM "splitgraph/2016_election:3835145ada3f07cad99087d1b1071122d58c48783cbfe4694c101d35651fba90".precinct_results
GROUP BY state_postal, county_fips_short)
, us_counties AS (SELECT c.admin1_code AS state
, c.admin2_code AS county_fips
, c.name AS county_name
, c.population
FROM "splitgraph/geonames:0b77a102cbabe2de8597dcab71f1c333f16f9e1963c9c8982988e10e65989c62".all_countries AS c
WHERE (c.feature_class = 'A')
AND (c.feature_code = 'ADM2')
AND (c.country_code = 'US'))
SELECT v.state_postal
, county_name
, v.county_fips_short
, trump_votes
, clinton_votes
, total_votes
, population
FROM us_counties AS c
INNER JOIN votes_by_county AS v ON (v.state_postal = c.state)
AND (v.county_fips_short = c.county_fips)}