quantitative_data_analyses

This is a model of housing prices based using multiple regression and logistic regression in R. This is a joint personal course work for my master program for two courses namely, Quantitative Data Analyses and Modern Data

Quantitative Data analysis is a statistics using R taught at Brunel University by Isabel Sasoon Modern data is a data manipulation course based on R taught at Brunel Unviersity London by Martins Shepperd

To initialize this file clone this repo with the following command git clone [email protected]:amaboh/quantitative_data_analyses.git

Alternatively you can fork this repository and make a copy of yours

Then cd into the quantitative_data_analyses folder

The main file is the rmd file

Our file is structured in the following format

1. Organise and clean the data 1.1 subset the data into the specific data subset allocated 1.2 data quality analysis 1.3 data cleaning
2. Exploratory data analysis 3. Modelling 3.1 explain your analysis plan 3.2 build a model for property price 3.3 critique your model using relevant diagnostics 3.4 based on 3.2 and 3.3 suggest improvements to your model
3. Extension work:

Below is Metadata table Variable (Column) name Description id : Property id Price : Sale price of the property mq :Total square meters of the property Floor : Entrance floor of the property n_rooms :Total number of rooms n_bathrooms :Total number of bathrooms has_terrace :Property has a terrace has_alarm :Property has an alarm heating :Type of heating (“autonomous”, “ other” ) has_air_conditioning Property has Air conditioning has_parking :Property has parking Is_furnished :was the property sold with its contents (furnishings) or not? (0,1)