The nyc-taxi-data repository is a rich dataset and exploratory project around New York City taxi trip records. It collects and preprocesses large-scale trip datasets (fares, pickup/dropoff, timestamps, locations, passenger counts) to enable data analysis, modeling, and visualization efforts. The project includes scripts and notebooks for cleaning and filtering the raw data, memory-efficient processing for large CSV/Parquet files, and aggregation workflows (e.g. trips per hour, heatmaps of pickups/dropoffs). It also contains example analyses—spatial and temporal visualizations like maps, time-series plots, and hotspot detection—highlighting insights such as patterns of demand, peak times, and geospatial distributions. The repository is often used as a benchmark dataset and example for teaching, benchmarking, and demonstration purposes in the data science and urban analytics communities.

Features

  • Large-scale NYC taxi trip dataset with structured schemas
  • Data-cleaning and preprocessing scripts for handling raw trip data
  • Aggregation and summarization pipelines (hourly, daily, spatial bins)
  • Example notebooks/analyses for visualization, heatmaps, and demand patterns
  • Support for efficient I/O (Parquet/CSV handling, chunked reading)
  • Educational benchmark for urban analytics, modeling, and demonstration use

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License

MIT License

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Additional Project Details

Programming Language

R

Related Categories

R Libraries

Registered

2025-10-01