- Spark
- Scala
1- Which zones have the most pickup/drop-offs overall [.scala] 2- What are the peak hours for taxi [.scala] 3- How are the trips distributed by length? Why are people taking the cab? [.scala] 4- What are the peak hours for long/short trips? [.scala] 5- What are the top 3 pick up and drop off zones for long/short trips? [.scala] 6- How are people paying for the rides, on long / short trips [.scala] 7- How is the payment type evolving with time? [.scala] 8- Can we explore a ride-sharing opportunity by grouping close short trips? [.scala]
- ~ 1.4 billion taxi rides between 2009 and 2016
- ~ 400 GB uncompressed CSV
- ~ 35 GB snappy parquet
This project is build as part of rockthejvm.com Spark Essentials with Scala course.