The project consists in two parts: scaping a website and cluster its informations in different ways and use hash functions to find duplicates in a big set of passwords.

The scraping part of the project was based on this link in the Immobiliare.it site.

This data will be the corpus for our analysis.

1. Homework_4.ipynb:

   This script provides the code of our analisys. It is possible that some plots are not clearly viewed, so to visualize them correctly the notebook is also shown here.

2. data.csv:

   This file contains all the informations of the annoucements taken from Immobiliare.it.

3. Files containing all the functions of the different parts of the homework:

   1. first_part_functions.py:

      This file contains all the functions used during the part 1 of the HW.

   2. scraping.py:

      This file contains all the functions used for the scaping part.

   3. Hash_functions.py:

      This file contains all the functions used in the 2nd part of the HW.

4. KMeans.py and KMeans_map_reduce.py:

   These files contain the Classes of the KMeans algorithm implemented with and without map-reduce.