taxi_data_2019 <- as_duckplyr_df(data.frame(
vendor_name = character(0),
pickup_datetime = as.POSIXct(character(0), tz = "UTC"),
dropoff_datetime = as.POSIXct(character(0), tz = "UTC"),
passenger_count = numeric(0),
trip_distance = numeric(0),
pickup_longitude = numeric(0),
pickup_latitude = numeric(0),
rate_code = character(0),
store_and_fwd = character(0),
dropoff_longitude = numeric(0),
dropoff_latitude = numeric(0),
payment_type = character(0),
fare_amount = numeric(0),
extra = numeric(0),
mta_tax = numeric(0),
tip_amount = numeric(0),
tolls_amount = numeric(0),
total_amount = numeric(0),
improvement_surcharge = numeric(0),
congestion_surcharge = numeric(0),
pickup_location_id = numeric(0),
dropoff_location_id = numeric(0),
year = character(0),
month = character(0)
))
zone_map <- as_duckplyr_df(data.frame(
LocationID = numeric(0),
Borough = character(0),
Zone = character(0),
service_zone = character(0)
))
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