TEMPLE ANALYTICS MERCK CHALLENGE

By Team Jeffrey Diana

CONTENTS

Introduction

Roles and Technologies

Data Acquisition & Analysis

Visualization

Organization Strategy

INTRODUCTION

Merck is moving How will this move affect the employees? How will commute times change? Which location would be the best?

Approach Organize data by zip code and organization Weight each zip code based off of employee numbers Acquire data using APIs and research Use visualization libraries in JavaScript to create a compelling narrative

ROLES & TECHNOLOGIES

TEAM ROLES

Zack Smith Backend Development

Steve Bergey Data Acquisition

Jeff Diana Data Analysis

Jihun Song Imagineer

TECHNOLOGIES

Backend Python, Javascript, Bash, Nginx, NodeJS, Flask

Frontend HTML, CSS, Javascript, Bootstrap

Acquisition and Analysis Python, Bokeh, Javascript, GMapsJS, Excel

Management Github

Everything Else Emacs

DATA ACQUISITION & ANALYSIS

THE BING API

How can we get useful, pertinent data on commute times and locations?

Bing API! Application programming interface Web-based interface which allows you to work directly with all of Bing’s data Super simple

COMMUTE TIME ACQUISITION

Primary Objective: Get a good data set for average commute times based off of zip codes

Solution: Use python! Break data in to different zip codes Query Bing API for commute times per zip code Do the same for organization

WHAT ELSE CAN BING GET US?

Commute times are fantastic!

How about we get some graphical data?

Methodology: Let’s break down the data the same way as before Instead of querying the API for time, let’s query it for the route a commuter takes A ton of points!

A TON OF POINTS ANALYSIS

We’ve acquired our data, now what do we do with it?

Gmaps Javascript Library Map Generation Draw polylines

VISUALIZATION

JAVASCRIPT IS NIFTY! JavaScript is a scripting language similar to Python which is designed to be used with websites

Executes client-side

Allows neat user interactions

On every website, ever

THE DREAM

LET’S MAKE A WEBSERVER JavaScript has server-side applications too NodeJS

Python is easier Flask

We can host our website on a Virtual Private Server (VPS), and anyone in the world can access it Access to all that beautiful JavaScript Custom UI Unique Experience

PORTRAIT OF A SIMPLE WEBSITE

Python-BasedWeb Server

Client (Web Browser)

Request (HTTP)

Response (HTML, CSS, JS)

SERVER-SIDE REQUEST HANDLING

HTML: THE IMPORTANT PARTS

JAVASCRIPT: THE IMPORTANT PARTS

END RESULTS

MORE RESULTS

SCROLLING!

ORGANIZATION

GITHUB REPOSITORIES

We used GitHub to manage all our code Easy collaboration Revision Control Independent branches Commit Messages

CONCLUSION Project Management is hard Bring together a lot of conflicting ideas from a lot of different people Split up tasks effectively Using time effectively

We suck at JavaScript It’s hard to learn a new technology

Expectation Vs. Reality

Cleanairfor.me

QUESTIONS?

Go ahead, ask me anything.