Are you interested in exploring real estate trends and patterns in Boston? Look no dataset further than the Boston Housing Dataset. This dataset is a valuable resource for researchers! analysts! and anyone looking to gain insights into the housing market in Boston. In this article! we will delve into the Boston Housing Dataset! its key features! and how you can leverage it for your real estate analysis.
What is the Boston Housing Dataset?
The Boston Housing Dataset is a collection of data points related to The Ultimate Guide housing prices and attributes in Boston! Massachusetts. It was first introduced in 1978 by researchers from Harvard University and has since become a widely used dataset in the field of machine learning and what is lead poisoning? predictive analytics. The dataset includes information such as median value of owner-occupied homes! crime rate! nitric oxide concentration! and more.
Why is the Boston Housing Dataset important?
The Boston Housing Dataset is valuable for analyzing the factors that influence housing prices in Boston. By studying this dataset! researchers can uncover patterns and trends that can help them make more informed decisions when it comes to real estate investments. Whether you are a sms to data real estate agent looking to understand the market better or a data scientist exploring predictive modeling! the Boston Housing Dataset offers a wealth of information to work with.
Key features of the Boston Housing Dataset
Some of the key features of the Boston Housing Dataset include:
CRIM: Per capita crime rate by town
ZN: Proportion of residential land zoned for lots over 25!000 sq. ft.
INDUS: Proportion of non-retail business acres per town
CHAS: Charles River dummy variable (1 if tract bounds river; 0 otherwise)
NOX: Nitric oxides concentration (parts per 10 million)
RM: Average number of rooms per dwelling
AGE: Proportion of owner-occupied units built prior to 1940
DIS: Weighted distances to five Boston employment centers.