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Analysis and prediction of luxury and non-luxury car make using compositional data analysis

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gregpawin/car-make-composite

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Luxury Car Make Prediction Project

Prototype car make prediction project as offshoot of Hack for LA's Lucky Parking Project, based on parking citation data collected by the City of Los Angeles.

Instructions on setting up the project enviornment and how to download the original dataset

  • Run make create_environment
  • Make sure that your new car-make-composite environment is activated
  • If you're using a Mac, you might have to install some certificates first: https://stackoverflow.com/questions/52805115/certificate-verify-failed-unable-to-get-local-issuer-certificate
  • Run make data to download raw citation data
    • Raw data will be in data/raw
    • Sampled data will be in data/interim (default 10% sampling from full dataset)
    • Cleaned data will be in data/processed
  • To create a smaller or larger sample from full dataset use: make sample frac={your fraction here} clean=False
    • Use make sample frac={your fraction here} clean=True, for cleaned dataset that ends up in processed
    • For 15% sample that is cleaned: make sample frac=0.15 clean=True

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Analysis and prediction of luxury and non-luxury car make using compositional data analysis

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