Recently Published
Understanding Wine Quality through the Lens of Data Analysis Using R
We have always relied on wine experts who use their esoteric jargons to rate wine qualities for us. But what exactly is wine quality based on? What are the criteria? In this project, we look at the Wine Quality dataset and use data analysis methods with R to explore the relationship between wine quality and various attributes such as acidity, sugar and alcohol.
Mining Customer Reviews for Business Opportunities
Yelp is an online service that allows users to review various businesses. Users can write detailed reviews and also rate the businesses using a 5-star scale. Yelp.com is available in 15 languages and has 142 million unique visitors per month. As a result, a huge amount of customer review data is generated on a regular basis. Customer feedback is one of the most important and informative data sources for business decision making. How can we turn the huge amount data generated by Yelp into business insights that are beneficial for the business community? In this project, we try to answer this question by examining data provided by the Yelp Dataset Challenge to garner business insights.
A Brief Study about Relationship between Attitude Towards Abortion and Education Level
Deliverable for the Duke Data Analysis and Statistical Inference Course Project on Coursera
Udacity Nanodegree Project 1_Test a Perceptual Phenomenon
Using statistical inference to test Stroop Effect.
Storm Data Analysis
In this report, we look at the national storm data produced by the National Weather Service to draw conclusions about different event' impacts. The data covered period from 1950 to 2011.