Hunter Owens hunterowens

Portillos - Classic Chicago - Italian Beef, Hot Dogs - Farther Walk- 100 W Ontario St
Food Trucks - Right outside. Take a Look.
Food For Thought - Food Court/Salad Bar - 401 North Michigan Ave - walk towards Michigan.
Billy Goat Tavern - 430 N. Michigan Ave - LOWER LEVEL- The Classic Chicago Burger Place. Under Tribune Tower.
Water Tower Place Food Court - It's a Mall with a food court. Walk up Michigan.
Epic Burger - New Burger place - 227 E Ontario St
Sayat Nova - Sit down Armenian food. 157 E. Ohio St.
Chipotle - 291 E Ontario St
Potbelly - Local sandwich chain- 277 E Ontario St
Naf Naf Grill - Middle Eastern Chipotle - 326 N Michigan Ave

type_of_connection	ping	download	upload
CMCC Paid China Moible	0	26.35	32.36
Renmin WIFI	16	6.24	1.59
Personal WIFI	2	42.96	49.02
Personal WIFI+cVPN	453	1.01	0.007
Personal WIFI+OpenVPN/Digital Ocean	443	0.05	0.33
Personal WIFI+IP VanishVPN	437	0.59	0.08

REQUIRED WIKI SECTIONS

Homepage

Intro: have a sentence or two about the project: the problems its solving, the partner, and how you're solving it. Also say that "this wiki is the central place to learn about the social problem we worked on, the data we used, the methods we used to solve it, and our findings" so people know what they're looking at. List of pages in the wiki
Problem

An in-depth description of the problem your organization, the problem you're trying to solve, and any relevant domain knowledge. Feel free to copy from blog posts and posters, if relevant.
Data

###Directory Structure

Clean, Well named set of directories. Examples include webapp, database, and models.
No random files in the root.
Explanation of each directory in README.
Sub-README's in appropriate folders
No directories named after DSSG specific info (ie, person names)
Should your team have more than one project, each should have it its own repo.
In your data or database folder, provide a way to re-create your database from scratch. .sql files are often appropriate for this.

	import pymssql
	import pandas as pd

	## instance a python db connection object- same form as psycopg2/python-mysql drivers also
	conn = pymssql.connect(server="172.0.0.1", user="howens",password="some_fake_password", port=63642) # You can lookup the port number inside SQL server.

	## Hey Look, college data
	stmt = "SELECT * FROM AlumniMirror..someTable"
	# Excute Query here
	df = pd.read_sql(stmt,conn)

	import timeit
	import pandas as pd
	import requests

	S3_URL = "https://s3-us-west-2.amazonaws.com/dssgtest01/crimedata.csv"
	S3_PATH = "s3://dssgtest01/crimedata.csv"
	LOCAL_EBS_PATH = "/mnt/vol-2a96ab12/crimedata.csv"
	NFS_PATH = "/mnt/data1/SpeedTest/crimedata.csv"

	#S3 Testing. using HTML

	# PostgreSQL Client Authentication Configuration File
	# ===================================================
	#
	# Refer to the "Client Authentication" section in the PostgreSQL
	# documentation for a complete description of this file. A short
	# synopsis follows.
	#
	# This file controls: which hosts are allowed to connect, how clients
	# are authenticated, which PostgreSQL user names they can use, which
	# databases they can access. Records take one of these forms:

	# -----------------------------
	# PostgreSQL configuration file
	# -----------------------------
	#
	# This file consists of lines of the form:
	#
	# name = value
	#
	# (The "=" is optional.) Whitespace may be used. Comments are introduced with
	# "#" anywhere on a line. The complete list of parameter names and allowed