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 git@github.com: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
- 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
- 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
- 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)