akusok / report_code

Moviewatchers data analysis

Summary

We load and analyse the provided dataset in regards with it's potential for creating some data-backed services. Explanations and data analysis are given in the Jupyter notebook file. Adjust path to the data files in the first cell of Jupyter notebook, then run all cells.

Usage

1. Create a virtualenv with all dependencies with

conda env create --file environment.yml

This submission is prepared and tested with Anaconda package manager which is standard for Python develooment. Alternatively install packages from requirements.txt file - however zipcodes package is available from pip and basemap needs Anaconda's installation.

2. Activate virtual environment

conda activate submission-akusok

3. Open Jupyter notebook file

jupyter notebook report.ipynb

4. Adjust path to data files in the first cell, default paths are:

movies_file = "../data/ml-1m/movies.dat"
ratings_file = "../data/ml-1m/ratings.dat"
users_file = "../data/ml-1m/users.dat"

5. Generate the analysis/report by clicking "Cell" -> "Run all"