1.	Python to connect to a database and display results.

2.	SQL (in this project, particularly with Postgre) to access and extract data 
	from the database .  In my queries, I have utilized several different SQL
	methods to...
	
	i.	Display results
	
	ii.	Join two tables
	
	iii.	Convert different data types such as converting from string to integer.
	
	iv.	Subqueries
	
	v.	And other SQL methods such as grouping data together, performing arithmetics,
		displaying results in a certain order, limiting the number of results to
		display, and etc.

1. 	My project will be ran in a virtual machine.  So if you have not already,
	download VirtualBox (https://www.virtualbox.org/wiki/Downloads)
	
	VirtualBox is the software that actually runs the virtual machine (VirtualBox in 
	this instance)
	
2.	Next you would download Vagrant (https://www.vagrantup.com/downloads.html).
	Vagrant is the software that configures the Virtual Machine to let you share 
	files between your host computer and VirtualBox.
	
	Clone the Vagrant files (https://github.com/udacity/fullstack-nanodegree-vm).
	You would clone to a spot on your computer where you would want to my project 
	files to be in.
	
3.	Download the database where we would access and extract data to answer some
	questions from: 
	
	https://d17h27t6h515a5.cloudfront.net/topher/2016/August/57b5f748_newsdata/newsdata.zip
	
	Place the 'newsdata.sql' file in the 'Vagrant' folder
	
4. 	Clone/download my 'index.py' file into the 'Vagrant' folder.

5.	Go to your terminal and perform the following...

	i.	cd to the 'Vagrant' folder
		
	ii.	run 'Vagrant up'
	
	iii.	run 'Vagrant ssh'
	
	iv.	run 'cd /Vagrant'
	
	v.	run 'ls' to ensure you see my project files.
	
	vi.	run 'psql -d news -f newsdata.sql' to execute the SQL commands that are
	already in the 'newsdata.sql' file to create and populate the tables.
	
	vii.	run 'python index.py'
	
6.	And you're done!  If you have come to an error somewhere along following the
	instructions, then please skip on down this README file to see what the output
	would look like.

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?

3.	On which days (time) did more than 1% of requests lead to errors?

1.	What are the most popular three articles of all time?  
	Which articles have been accessed the most?
	
	Answer:
		
		Candidate is jerk, alleges rival - 338647 views
		Bears love berries, alleges bear - 253801 views
		Bad things gone, say good people - 170098 views
		

2.	Who are the most popular article authors of all time?

	Answer:
		
		Markoff Chaney - 84557 views
		Ursula La Multa - 507594 views
		Rudolf von Treppenwitz - 423457 views
		Anonymous Contributor - 170098 views
		
3.	On which days (time) did more than 1% of requests lead to errors?
	
	Answer:
		
		July, 17 2016 - 2.3% errors