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| # first, we will create a CTE to filter our NYC Taxi Data | |
| WITH | |
| nyc AS ( | |
| SELECT | |
| *, | |
| # creating a geometry from our latitude and longitude columns | |
| st_geogpoint(pickup_longitude, |
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| SELECT | |
| COUNT(b.full_name) AS interstates, | |
| a.state_name, | |
| ARRAY_AGG(b.full_name) AS roads | |
| FROM | |
| `bigquery-public-data.geo_us_boundaries.states` a | |
| JOIN | |
| `bigquery-public-data.geo_us_roads.us_national_roads` b | |
| ON | |
| st_contains(a.state_geom, |
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| WITH | |
| b AS ( | |
| SELECT | |
| st_union_agg(road_geom) AS road_geom, | |
| full_name | |
| FROM | |
| `bigquery-public-data.geo_us_roads.us_national_roads` | |
| GROUP BY | |
| full_name ) | |
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| SELECT | |
| state_name, | |
| CASE | |
| WHEN state_name IN ('Minnesota', 'Wisconsin', 'Iowa', 'Illinois', 'Indiana', 'Ohio', 'Michigan', 'Missouri', 'Kansas', 'Nebraska', 'North Dakota', 'South Dakota') THEN 'Midwest' | |
| ELSE | |
| 'Not Midwest' | |
| END | |
| AS midwest | |
| FROM | |
| `bigquery-public-data.geo_us_boundaries.states` |
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| WITH | |
| counties AS ( | |
| SELECT | |
| a.total_pop, | |
| b.* | |
| FROM | |
| `bigquery-public-data.census_bureau_acs.county_2018_1yr` a | |
| JOIN | |
| `bigquery-public-data.geo_us_boundaries.counties` b | |
| USING |
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| # create a bounding area from the New York CBSA geometry | |
| WITH | |
| bounding_area AS ( | |
| SELECT | |
| geom | |
| FROM | |
| `carto-do-public-data.carto.geography_usa_cbsa_2019` | |
| WHERE | |
| do_label LIKE "%New York%"), |
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| # create a CTE with our county data | |
| WITH | |
| counties AS ( | |
| SELECT | |
| a.median_income, | |
| b.* | |
| FROM | |
| `bigquery-public-data.census_bureau_acs.county_2018_5yr` a | |
| JOIN |
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| # create an aggregated CTE first | |
| WITH | |
| zips_311 AS ( | |
| SELECT | |
| incident_zip, | |
| COUNT(unique_key) AS count | |
| FROM | |
| `bigquery-public-data.new_york_311.311_service_requests` | |
| GROUP BY |
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| SELECT | |
| start_station_id, | |
| start_station_name, | |
| start_station_latitude, | |
| start_station_longitude, | |
| # calculate the average distance for all trips from each start station | |
| AVG(st_distance(st_geogpoint(start_station_latitude, | |
| start_station_longitude), |
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| WITH | |
| counties AS ( | |
| SELECT | |
| a.total_pop, | |
| b.* | |
| FROM | |
| `bigquery-public-data.census_bureau_acs.county_2018_1yr` a | |
| JOIN | |
| `bigquery-public-data.geo_us_boundaries.counties` b | |
| USING |