NYC Taxi — Tip Analysis

NYC Taxi benchmark · all NYC Taxi queries

Tip patterns by time and location

Representative SQL

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

SELECT
  EXTRACT(HOUR FROM pickup_datetime) AS hour,
  COUNT(*) AS trip_count,
  AVG(tip_amount) AS avg_tip,
  AVG(CASE WHEN fare_amount > 0 THEN tip_amount / fare_amount * 100 END) AS avg_tip_pct
FROM trips
WHERE
  pickup_datetime >= '2019-07-07'
  AND pickup_datetime < '2019-08-06'
  AND payment_type = 1
GROUP BY
  EXTRACT(HOUR FROM pickup_datetime)
ORDER BY
  hour

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['tip-analysis'])

Source

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