Analyze the local business data and reviews to get insights on the popularity of a business and factors responsible for it. We have also analyzed the sentiments of the customer review for better understanding. The total size of the dataset is 180 MB and we have adopted cloud computing service and used Big Data Hadoop using HiveQL and Pig for query. Our preferred choice of framework for this project was Big Data Hadoop primarily because it is an open source software and its scalability and flexibility best suited our requirements. This project has helped us in understanding various aspects of the Local Businesses; factors driving their popularity, customer review patterns, regions that favor certain businesses the most are a few of the many aspects to name. Analyzing the customer sentiments based on their reviews has helped us in realizing the importance of customer satisfaction, also it is possible to derive action plans to improve business performance to keep up with the competition.

1. LOCAL BUSINESS DATA
ANALYSIS
Yashaswi Ananth
Ruchi Singh
Mahsa Tayer Farahani
Under the guidance of:
Dr. Jongwook Woo

2. INTRODUCTION
Wide variety of information
available about local business
Helps in understanding the
performance of the Local Business
Derive insights from the customer
reviews for the Local Business
Factors Responsible for the
popularity of Local Business

3. TECHNICAL SPECIFICATIONS
DATA SOURCE FILE SIZE
Yelp 90MB
Google Local 85MB
• Hadoop Big Data
• Hive and Pig
• Tableau
• Excel Power View
Technology Used

4. VISUALIZATIONS

5. REVIEW COUNT
FOR BUSINESS
TYPES
• Education
• Entertainment
• Food
• Medical
• Services
• Shopping

6. TOP BUSINESS IN THE SIX
CATEGORIES

7. REVIEW COUNT OF POPULAR SUB-
CATEGORIES OF BUSINESS

8. MAXIMUM REVIEWS
Maximum number of reviews made
by unique user IDs over 10 years
Further text analysis of the reviews
confirmed all reviews for user to be
genuine.

9. SENTIMENT ANALYSIS OF SERVICE

10. FOOD
BUSINESS
ATTRIBUTE
ANALYSIS
Reservati
on
Ambianc
e
Wheelcha
ir
TV Wi-fi
Top
Botto
m
Top
Bott
om
Top
Botto
m
Top
Bott
om
Top
Bott
om
80% 20% 70% 40% 70% 10% 60% 30% 80% 30%
Key Attributes

11. TOP BUSINESSES
Top 5 most popular local business on Yelp between 2006-2016 in the select

12. GEOSPATIAL REPRESENTATION

13. INSIGHTS

14. INSIGHTS
1. Food is the most popular category of Local Business based on the reviews
2. Las Vegas is the most popular city based on review count for Local Business in
every category
3. Reservation, Ambience, Wi-Fi are some of the main factors responsible for the
popularity of food business
4. More than 60% of people in a city write positive reviews for Local Business
5. Around 250 reviews(maximum) were written by one reviewer in a span of 10
years

15. REFERENCES
1. http://www.tableau.com
2. https://hortonworks.com/tutorials
3. Dr. Woo's High Performance Information Computing Center
http://www.calstatela.edu/centers/hipic
4. Github: https://github.com/shamaahsaa/Local_Business_DataAnalysis

16. THANK YOU
QUESTIONS…