Jay Khoury, Author at yourdataIQ

Protected: JOB OPPS

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In the early 2010’s, the government released data rating most hospitals based on their mortality rates for numerous conditions, along with ratings given by patients. The business proposition was for me to find a way for my employer to capitalize on the data.

Debugging

R provides a number of tools to help you with debugging your code. The primary tools for debugging functions in R are traceback(): prints out the function call stack after an error occurs; does nothing if there’s no error debug(): flags a function for “debug” mode which allows you to step through execution of a […]

How To

A collection of code showing examples of how to do some common tasks in R.

Protected: NFL

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DA CASE STUDIES – 11

What follows are some case studies that include “Documentation of any cleaning or manipulation of data” as part of the deliverables so I’ve included all my step-by-step details. I’ll start off with R then I’ll duplicate the process using SQL, and finally Tableau. Other analyses done in Python is not included and covered in other […]

Protected: DA – R – EXAMPLES – 9

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Protected: DA – R – VISUALIZATION – 8

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Protected: SQL – Examples

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Protected: SQL How To

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Protected: SQL Definitions

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Protected: Spreadsheet

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Protected: Datasets Reference Data

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Protected: PYTHON – INTRO

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Protected: PI – SENSORS 5

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Protected: PI MOTORS 4

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Protected: PI – LED 3

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Protected: PI HARDWARE 2

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Protected: PI – Beginning – Setup 1

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Protected: PI – JUPYTER

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Protected: PI – reference

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BikeShare

Case study of a bike sharing startup. I’ve provided a detailed step by step analysis of the case using R, SQL, and Tableau detailing the thought process behind the results.

Mental Health App

Case study of a startup that launched a mental health fitness app for women. I’ve provided a detailed step by step analysis of the case using R, SQL, and Tableau detailing the thought process behind the results.

Outliers

This post is just a quick thought on how I look for outliers in a data set. Outliers are extremely important in analyzing data and should be addressed as early in the process as possible. I used Tableau for the charts.

Bad Charts

There are times when you’re stepping into a situation where you inherit analyses done by others. In many cases you have to edit, revise, reconstruct, or completely abandon an analysis and create a more insightful one. Here is one of many cases that I went through that exact scenario.

Medication Injection

This was a fun, fairly simple, and straight forward project for me since I have an engineering background and formulas are my bread and butter. Easiest way to describe the results: a fancy calculator with a large display screen that spits out charts instead of numbers.

Discount or Not

This post is about a project I did to answer the age-old question about discounts. Should I discount or not? How much money do I lose if I discount and how much should I discount? Well, I can only address some of the questions in this post, the remaining questions would be best discussed in the presence of marketing, production, development and the executive committee, as they relate to the mission, goals, and character of the company.

Homelessness

This project is a long, detailed, and very informative analysis for me, it took me years to research, create and launch the product. I summarized most of the information or I’d still be writing.

Protected: UX Resources

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Protected: UX PROJECTS

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Protected: UX HIGH FIDELITY DESIGNS – 8

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Protected: UX RESEARCH & TEST – 7

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Protected: UX BUILD WIREFRAMES – 6

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Protected: UX DESIGN IDEATION – 5

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Protected: UX USER PROBLEMS DEFINE- 4

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Protected: UX USER STORIES EMPATHIZE- 3

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Protected: UX DESIGN PROCESS EMPATHIZE – 2

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Protected: UX Fundamentals – 1

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Protected: FS Closing – Problems & Closing-16

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Protected: FS Execution – Quality Management-15

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Protected: PROJECT ARTIFACTS-14

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Protected: FOOD SERVICE PROJECT – PLANNING-13

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Protected: FOOD SERVICE PROJECT- INITIATION-12

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Protected: Value Driven Product-14

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Protected: SCRUM TOOLS-10

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Protected: SCRUM EVENTS-9

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Protected: AGILE PM GOOGLE-8

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Protected: PROJECT EXECUTION-7

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Protected: PROJECT PLANNING-6

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Protected: PROJECT INITIATION-5

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Protected: STRUCTURE & CHANGE MANAGEMENT-4

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Protected: Methodologies-3

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Protected: Project Life Cycle-2

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Protected: PM-SKILLS & DUTIES-1

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Protected: AZ IoT HUB – 2

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Protected: INTRODUCTION TO AZ IoT – 1

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Protected: AZ IOT BACKGROUND

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Protected: AZ IoT Ref ARCHITECT

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Protected: AWS – Developing and Deploying IoT

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Protected: C#

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Protected: States of Homelessness

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Protected: Pricing Optimization

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Protected: Marketing Analytics

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Protected: Predictive Analytics

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Protected: Prescriptive Analytics

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Protected: Descriptive Analytics

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Protected: Marketing Metrics

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Protected: Digital Marketing

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Protected: CANVAS APP

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Protected: COMMON DATA SERVICE

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Protected: POWER APPS – INTRO – 2

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Protected: POWER PLATFORM INTRO – 1

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Protected: LAB – SETUP PC PARAMETERS

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Protected: PRODUCTION CONTROL – INTRO

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Protected: SUPPLY CHAIN MGMT – INTRO

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Protected: FINANCE – INTRO

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Protected: LEARN D 365

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Protected: CODE

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Protected: SENTIMENT – TEXT ANALYTICS API – FUNCTIONS – QUEUE STORAGE

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Protected: EVENT GRID-HUB-BUS

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Protected: STREAM ANALYTICS

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Protected: POLICY FOR IT COMPLIANCE – 18

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Protected: CONTENT MODERATOR EVALUATE TEXT -17

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Protected: COMPUTE INFRASTRUCTURE & COST – 16

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Protected: AZ MONITOR – APPLICATION INSIGHTS – 15

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Protected: APP SERVICE – CREATE WP SITE – 14

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Protected: LUIS BOT – 13

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Protected: BOT CHANNELS – 12

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Protected: BOT FRAMEWORK – 11

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Protected: INGEST & EGRESS DATA – 10

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Protected: AI PIPELINES & WORKFLOWS – 9

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Protected: TOOLS-INTEGRATION-OUTPUT STORAGE – 8

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Protected: COGNITIVE SERVICES – 7

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Protected: PRIVACY & SECURITY – 6

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Protected: NETWORK LOAD BALANCER – 5

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Protected: ENDPOINTS & AUTOMATION – 4

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Protected: AI MODELS & SERVICES – 3

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Protected: DATA PROCESSING-STORES – 2

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Protected: AI-PROCESSING-ARCHITECTURE – 1

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