506 records of residential property data in Boston categorized by 14 socio-economic and environmental attributes. The data tracks variables such as crime rates, nitrogen oxide levels, and pupil-teacher ratios to determine median home values.
Use Cases
- Develop regression models to predict 'MEDV' based on 'LSTAT' (lower status of the population) and 'RM'
- Evaluate the impact of environmental factors like 'NOX' on housing prices
- Study the relationship between 'DIS' (weighted distances to employment centers) and property valuation
Strengths
- 506 rows of data representing various census tracts in Boston
- 14 features including 'CRIM' (crime rate), 'RM' (rooms per dwelling), and 'TAX' (property tax rate)
- Target variable 'MEDV' provides the median value of owner-occupied homes in thousands of dollars
- Binary feature 'CHAS' indicates if a tract bounds the Charles River