What patterns emerge when millions of customers search for their perfect trip on the world's leading travel platform?
This project aimed to answer specific questions relating to search patterns that emerged in datasets obtained from Expedia. The analyses were performed using the programming language R and presented in a non-technical friendly manner through a presentation created in R Markdown.
| Question | Statistical Method |
|---|---|
| Is the proportion of mobile searches performed on Expedia’s mobile platform 45% of the total searches? | Group Hypothesis Testing |
| What is the association between the number of reviews and the mean customer review score? | Simple Linear Regression |
| What is the range of plausible values for the average number of reviews for Expedia property listings that are travel advertisements (labeled as “Ad”)? | Bootstrapping |
Intro to Statistical Reasoning and Data Science (STA130 Final Project)
Mark: 10.55/11.05 (~95%)
Malaikah Hussain, Hannah Pan, Julie Tang