The secondary data set for this statistical study has been obtained from Kaggel. This data set includes information about one room apartment real estate in Moscow. The aim of this statistical analysis is to make use of various R functionalities such as plot, bar plot, histogram, skewness, kurtosis, standard deviation and the summary function to study the real estate market in Moscow.
This data set includes the following variables:
metro (nominal) : The nearest metro station to to the apartment
price (numerical) : The rent price for the apartment
way (nominal) : Mode of transportation to reach metro station (on foot or by public transport)
views (numerical) : The number of views for each apartment
provider (nominal) : A person or agency who is renting apartment
fee_percent (numerical) : Fee percent of an agency or realtor
storey (numerical) : The storey, where the apartment located
minutes (numerical) : Time to reach nearest metro station
storeys (numerical) : The total number of storeys in a building
living_area (numerical) : Square foot of the living area
kitchen_area (numerical) : Square foot of the kitchen area
total_area (numerical) : Total square of each apartment
total_area_description (ordinal) : The size of apartment is Large, Medium or small
distance_description (ordinal) : The distance from the metro station is far or near