Project 3 for Udacity FSND - Log Analysis
About
This is the third project for the Udacity Full Stack Nanodegree. In this project, a large database with over a million rows is explored by building complex SQL queries to draw business conclusions for the data. The project mimics building an internal reporting tool for a newpaper site to discover what kind of articles the site's readers like. The database contains newspaper articles, as well as the web server log for the site.
How to run
Requirements:
- Python 2
- Vagrant
- VirtualBox
Setup
- Install Vagrant and VirtualBox
- Clone the following repo: https://github.com/udacity/fullstack-nanodegree-vm
Running
Launch Vagrant VM by running vagrant up, you can then log in with vagrant ssh
To load the data, use the command psql -d news -f newsdata.sql to connect a database and run the necessary SQL statements.
The database includes three tables:
- Authors table
- Articles table
- Log table
Copy the fsnd-p3.py file to the same folder you cloned (it should be next to the 'catalog', 'forum' and 'tournament' folders and the 'Vagrantfile'). Once copied, run python fsnd-p3.py from the command line to see the results.