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WAS Data Mining

Install

  1. Install Python: https://www.python.org/downloads/

  2. Use the Python Package Manager (pip) – which should have been installed as part of installing Python – to install required dependencies:

     pip3 install numpy pandas matplotlib pytz xlsxwriter

  3. Clone this repository somewhere:

     git clone https://github.com/kgibm/was_data_mining/

Run

  1. Run python3 and pass a path to was.py. For example:

     python3 ~/git/was_data_mining/was.py

  2. Pass the -h option to show help documentation.

  3. Pass a set of files or directories to parse.

    If no files or directories are specified, all files and directories in the current working directory are parsed.

Analyze

  1. The output will be in the was_data_mining sub-directory in your current working directory.