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dataacqmgmt's Introduction

Data Acquisition & Management

This repository contains code I developed as part of my work in the CUNY Master of Science, Data Analytics program's Data Acquisition and Management course (IS607) under Professor Michael Schulte.

Highlights

Data Analysis with R

During week 4, I analyzed IMDB movie data transformed and shared by Hadley Wickham. Some of the charts resulting from my analysis follow.

Movies Per Decade

Average Movie Rating By Genre per Decade

User Votes by Movie Rating

Data Persistence with PostgreSQL

During week 7, I imported a limited set of Wikipedia WikiStats data into PostgreSQL and analyzed hourly trends. The entity-relationship diagram for the resulting database structure is shown below along with a chart showing topic page view changes across 2 hours.

Wikipedia data table ER diagram

Top 5 Pages with increasing page views

Data Relationships with Graph Databases

Weeks 11 and 12 centered around graph databases. We used Neo4j to get a hands on understanding of how to model data and use graph query languages like Cypher to extract information from the graph structures.

The following illustration shows hypothetical in-flight entertainment & connectivity data modeled, loaded and queried in Neo4j.

In-flight Entertainment & Connectivity

Data Performance

As part of an analysis of performance in various data technologies, I studied how R's sum function performed under different data scenarios. The resulting article is available though my RPubs.com profile.

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