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Analyzing US domestic flights from 1987 to 2020 using PySpark and React

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InFlight: Visualizing & Analyzing Air Traffic Data

Prerequisites

  • Python >= 3.6
  • Miniconda or Anaconda
  • Node.js >= 12.0.0

Setup Instructions

  1. Clone the repository
  2. Create the Conda environment: conda env create -f environment.yml -n inflight
  3. Navigate to the frontend directory: cd frontend
  4. Install the frontend dependencies: npm install
  5. Navigate to the scripts directory in the backend folder: cd backend/scripts
  6. Activate the Conda environment: conda activate inflight
  7. Run the script to convert the CSV data to parquet files: python convert.py

Running the Application

  1. Navigate to the backend directory: cd backend and run the backend server: python app.py
  2. Navigate to the frontend directory: cd frontend and run the frontend server: npm start

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Analyzing US domestic flights from 1987 to 2020 using PySpark and React

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