part of the Udacity Full Stack Web Developer Nanodegree.

To write SQL queries to answer the following questions about a PostgreSQL database containing the logs of a fictional newspaper website.

1. What are the most popular three articles of all time?
2. Who are the most popular article authors of all time?
3. On which days did more than 1% of requests lead to errors?

The project code requires the following software:

• Python 3
• psycopg2
• PostgreSQL

You can run the project in a Vagrant managed virtual machine (VM) which includes all the required dependencies (see below for how to run the VM). For this you will need Vagrant and VirtualBox software installed on your system.

This project consists of the following files:

• analysis_reporting_tool.py - The Python program that connects to the PostgreSQL database, executes the SQL queries and displays the results.
• newsdata.zip - SQL News data that you'll be connecting to.
• Analysis tool output.txt- Plain text file that is a copy of what your program printed out.
• README.md - Read me file.

Download the project zip file to your computer and unzip the file. Or clone this repository to your desktop.

You will need to unzip this file after downloading it. The file inside is called newsdata.sql. Put this file into the vagrant directory, which is shared with your virtual machine.

You will need to unzip newsdata.zip file after downloading it. The file inside is called newsdata.sql. Put this file into the vagrant directory, which is shared with your virtual machine.

To load the data, cd into the vagrant directory and use the command psql -d news -f newsdata.sql. Here's what this command does:

• psql — the PostgreSQL command line program
• -d news — connect to the database named news which has been set up for you
• -f newsdata.sql — run the SQL statements in the file newsdata.sql

Running this command will connect to your installed database server and execute the SQL commands in the downloaded file, creating tables and populating them with data.

Open the text-based interface for your operating system (e.g. the terminal window in Linux, the command prompt in Windows) and navigate to the project directory. Bring up the VM with the following command:

vagrant up

The first time you run this command, it will take awhile, as Vagrant needs to download the VM image.

You can then log into the VM with the following command:

vagrant ssh

More detailed instructions for installing the Vagrant VM can be found here.

Once inside the VM, navigate to the tournament directory with this command:

cd /vagrant

The logs reporting tool is executed with the following command:

python analysis_reporting_tool.py

The answers to the three questions should now be displayed.