This dataset, `baltimore_pts`, is a data frame containing housing sales data and property characteristics for Baltimore, Maryland, in 1978. It has been widely used in spatial econometrics and hedonic regression studies. Each row corresponds to a house, including sale price, structural attributes, lot size, and geographic coordinates (X, Y) on the Maryland grid (projection type unknown).
Usage
data(baltimore_pts)Format
A data frame with 211 observations and 17 variables:
- STATION
Census tract station identifier (integer)
- PRICE
House sale price (numeric)
- NROOM
Number of rooms (numeric)
- DWELL
Dwelling type indicator (numeric)
- NBATH
Number of bathrooms (numeric)
- PATIO
Presence of patio (numeric indicator)
- FIREPL
Presence of fireplace (numeric indicator)
- AC
Presence of air conditioning (numeric indicator)
- BMENT
Presence of basement (numeric indicator)
- NSTOR
Number of stories (numeric)
- GAR
Presence of garage (numeric indicator)
- AGE
Age of the dwelling (numeric)
- CITCOU
City/county indicator (numeric)
- LOTSZ
Lot size (numeric)
- SQFT
Interior square footage (numeric)
- X
X coordinate (numeric)
- Y
Y coordinate (numeric)
Details
The dataset consists of 211 observations (houses) and 17 variables.
The dataset name has been kept as `baltimore_pts` to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the `lightsf` package and assists users in identifying its specific characteristics. The original content has not been modified in any way.