anirudhagar13 / chicago-crime-analysis-bigdata

Version controlling for Big Data

bigdata

Version controlling for Big Data

AWS instance

34.229.250.146:8091

Installation of virtual environment:

• Install virtual environment: python3 -m pip install --user virtualenv
• Creation of virtual environment: python3 -m venv env
• Activating virtual environment: source env/bin/activate
• Installing all dependencies: pip install -r requirements.txt

Instructions to run (Assuming above environment is setup) [All credentials in writeup]:

• To run data pipeline:

• python run.py 'path_to_data_file' 'username' 'password' 'hostname' 'bucket_name'

• To answer business analytics questions:

• python run.py 'path_to_data_file' 'username' 'password' 'hostname' 'bucket_name' bq_id

• (analytics functional with csv data dump)

Buiness questions visualization:

• (1) Time series data analysis
• (2) Arrest analysis
• (3) Crimes reported per year
• (4) Crime with maximum arrests
• (5) Crime distribution by year
• (6) Finding Unsafe neighborhood
• (7) Crime type prediction