CIS8008 - Business Intelligence: Data Analysis with RapidMiner

This report provides a comprehensive analysis of a house price dataset using RapidMiner and Tableau. In RapidMiner, exploratory data analysis is performed to understand the factors influencing house prices, followed by linear regression to model the relationship between various attributes and the price. The analysis identifies key attributes such as bedrooms, condition, floors, grade, view, and year built. Tableau is then used for data visualization, exploring the relationship between house prices and attributes like floors, condition, grade, view, and bedrooms. Additionally, geographical analysis using latitude and longitude is conducted to visualize the distribution of house prices across different locations. The report includes detailed figures and outputs from both RapidMiner and Tableau, illustrating the processes and results of the analysis.