Log Analysis - FullStack Web Developer NanoDegree

Project #1 of Udacity's FullStack WebDeveloper Nanodegree.

Objective

Objective of project is to apply SQL knowldege and improve skills. Project creates a reporting tool that answers the next questions:

1. What are the most popular three articles of all time? Which articles have been accessed the most?

2. Who are the most popular article authors of all time? That is, when you sum up all of the articles each author has written, which authors get the most page views?

3. On which days did more than 1% of requests lead to errors? The log table includes a column status that indicates the HTTP status code that the news site sent to the user's browser.

Requirements

Minimum requirements correspond to:

• Python 2.7.12
• psycopg2 2.7.7
• PostgreSQL 9.5.14

This can also be achieved via a Virtual Machine and Vagrant.

Instructions using VM and VirtualBox

• Install Vagrant and VirtualBox.

• Clone the repository to your local machine

• Start the virtual machine: in project directory run vagrant up and then vagrant ssh

• Download and unzip the data. This file should be place into your vagrant directory.

• Load the database psql -d news -f newsdata.sql;

• Run Project python newsdata.py

Results