NYC Taxi — Passenger Count Analysis

NYC Taxi benchmark · all NYC Taxi queries

Trip patterns by passenger count

Representative SQL

Rendered in the benchmark’s native SQL with default parameters (no dialect translation available).

SELECT
  passenger_count,
  COUNT(*) AS trip_count,
  AVG(trip_distance) AS avg_distance,
  AVG(total_amount) AS avg_fare,
  AVG(total_amount / NULLIF(trip_distance, 0)) AS avg_fare_per_mile
FROM trips
WHERE
  pickup_datetime >= '2019-01-01'
  AND pickup_datetime < '2019-01-31'
  AND passenger_count BETWEEN 1 AND 6
GROUP BY
  passenger_count
ORDER BY
  passenger_count

Representative DataFrame

No DataFrame implementation is registered for this query.

Get the exact query for your run

The blocks above are representative. To get the precise statement a specific platform runs at a specific scale, substitute your own values:

from benchbox import NYCTaxi

bench = NYCTaxi(scale_factor=1.0)            # your scale factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['passenger-count-analysis'])

Source

Query text: benchbox/core/nyctaxi/queries.py