## Data

This dataset consists of information about properties sold in Ames, Iowa.
You may have seen this data before, and you may find examples of it being used elsewhere online.  The version in this competition has many of the variables removed, for uniqueness and simplicity.

## Data fields

Here's a brief description of the variables:

* SalePrice - the property's sale price in dollars. This is the target variable that you're trying to predict.
* PID - An identifying number of the property
* LotFrontage: Linear feet of street connected to property
* LotArea: Lot size in square feet
* Street: Type of road access
* Neighborhood: Physical locations within Ames city limits
* BldgType: Type of dwelling
* HouseStyle: Style of dwelling
* OverallQual: Overall material and finish quality
* OverallCond: Overall condition rating
* YearBuilt: Original construction date
* RoofStyle: Type of roof
* Heating: Type of heating
* CentralAir: Central air conditioning
* Electrical: Electrical system
* GrLivArea: Above grade (ground) living area square feet
* FullBath: Full bathrooms above grade
* HalfBath: Half baths above grade
* Bedroom AbvGr: Number of bedrooms above basement level
* TotRmsAbvGrd: Total rooms above grade (does not include bathrooms)
* Functional: Home functionality rating
* ScreenPorch: Screen porch area in square feet
* PoolArea: Pool area in square feet
* YrSold: Year Sold
* SaleType: Type of sale

## GOAL
Your mission today is to use the available variables to predict the sales price of homes.

## Only your first two submissions will be graded!

## Acknowledgments
The Ames Housing dataset was compiled by Dean De Cock for use in data science education. It's an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston Housing dataset.