• Census: https://www2.census.gov/programs-surveys/popest/datasets/2010/modified-race-data-2010/stco-mr2010_mt_wy.csv
• New York crimes: https://data.cityofnewyork.us/api/views/qgea-i56i/rows.csv?accessType=DOWNLOAD
• Washington Post shootings: https://github.com/domk11/BigDataProjectCrimes/blob/master/shootings_wash_post.csv
• Police Deaths: https://github.com/domk11/BigDataProjectCrimes/blob/master/police_killings.csv
• Presidential Elections (2016): https://github.com/domk11/BigDataProjectCrimes/blob/master/presidential_polls_2016.csv

1. Load the datasets inside a database named 'datascience' respecting the collection names described as depicted in contracts. Create an output folder as described into settings file.

2. Run dataset filtering and cleaning

    python filter_original_dataset.py

3. Run New York crime analysis

    python crimes_type.py

4. Run Washington post killings analysis

    python shoots.py

5. Run Presidential elections analysis

    python polls.py

6. Run Police Deaths analysis

    python police_deaths.py

7. Run Districts Census

    python pop_distribution.py

8. Census analysis with mapreduce

Into src/mapreduce

    python run.py