Transcript Slides

-Your Local Past, Present and Futu
Team Members:
Brian Leung
Glenn Musa
Min Sock Park
Jihyeon Seo
Introduction
RegionTrend is a web-based service that provides microeconomic
data analysis within a region (Arizona)
Objective:
To provide visual data representation of various correlations between
cities and states through web mining techniques that help users gain
better understanding of local commercial activities
Features include:
•Job growth
•Housing analysis
•Service related activities within cities
•Sales activities within cities
Business Model
• Freemium Model
– Free users have access to limited datasets (3 months historical
data)
– Paid users have full access to all historical data and predictive
analysis for $3.99/month
• Display Ads
– As the website expands, display ads will be an alternative
approach to generate revenue
Functionalities
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Visualizations
Regression Analysis
Top 10 Jobs per city or Arizona
Top 10 Services
Jobs trend and analytics
Housing value data and forecast
Apartment Rental value trends
Local Commerce expected average values
Temporal Motion Chart for local Economic activities
Competitors
City-Data.com
•No Intuitive UI
•No Region by Region analysis
•Lack analytics
•No links to Social Media
CNN Moneys
•Not at a micro-economic scope
•No city ranking
•Does not reflect micro activities
System Architecture
APIs
1. Facebook login
2. Facebook comment
3. Facebook like
4. Facebook connect
5. Twitter Tweet
6. Google Maps
7. Google Visualization
8. Google Fonts (web fonts)
9. Google Translate
10. Paypal
11. Indeed Jobsearch
12. Nivo Slider
13. J-Pop up
14. Flickr
15. Apache Common Math
Collected Data (Demo 1) :
Collected Data (Demo 2) :
Phoenix: 242,760
Tucson: 112,282
Yuma: 12,555
Mohave: 17,603
Sierra Vista: 8,900
Flagstaff: 17,282
Prescott: 20,178
Show Low: 3,957
Total: 435,517
Phoenix: 552,754
Tucson: 254,790
Yuma: 23,511
Mohave: 30,499
Sierra Vista: 14,405
Flagstaff: 36,452
Prescott: 33,969
Show Low: 6,880
Total: 953,260
Screen Shots: Home Page
Screen Shots: Analytics
Screen Shots: Analytics Cont.
Group Contribution
Front End Design, API implementation,
Data Mining
Web Mining, DM Algorithm, Data
Visualization, Predictive Analysis
Glenn Musa
Brian Leung
Database Development, API
implementation, Back End Design
Min Sock Park
Web Mining, API Implementation, Data
Visualization, Middleware Implementation
Jihyeon Seo
Future
• Better Accuracy
– Collecting more data will increase the accuracy on our regression analysis
• Additional Features:
– More in-depth data analytics
– Auto Spidering by using script and scheduler
• Expand Data Sources:
– Collect data from other data source such as City-Data, IRS data
• Expandability:
– Expand this service nation wide for every cities minable on Craigslist
– Expand internationally
The More Data We Have, The More Powerful We Get!
“Our goal is to provide analytics to the cities
and regions around our users, so that they
could understand them better and make
better decisions”
- AZRegionTrend