INF80031 Project: Crowdfunding & Airbnb Data Analysis

This project undertakes a comprehensive data analysis of crowdfunding projects and the Airbnb market in Melbourne. Part 1 focuses on a crowdfunding scenario, utilizing data from Kickstarter.com. It involves data exploration using BigML and SPSS, identifying the most important attributes for project success through linear regression and ensemble techniques, and justifying these attributes. Part 2 shifts to the Airbnb market, assessing the investment potential in the Greater Melbourne area. It involves answering key investment questions, analyzing Airbnb property data using SPSS, and providing a detailed report on market feasibility and optimal investment strategies. The project utilizes descriptive statistics to understand the data and provides insights into the most suitable property types and locations for maximizing returns on investment. The project aims to assist Penny Robinson with her crowdfunding project and Rachel Clare with her Airbnb investment decision.