Group HENN; Mini Project Group – Real estate.
Our data is about real estate. We predicted the price of houses based on the given input variables, which consist of house age, distance to the nearest MRT station, number of convenience stores, latitude and longitude. Then, we visualize our data using ggplot to see if there are any relationships among the variables.
After that, we use multiple linear regression to analyse our data as we have more than one input. We found that the number of convenience stores is positively correlated with the house’s price, while the house’s age and the distance of the house to the nearest MRT station are negatively correlated with the house’s price. Lastly, this is a sample of the web app created using R Shiny.
Thank you Dr.