This app predicts house prices based on features like location, year built, square footage, and number of bedrooms using a linear regression model. It also provides interactive and static visualizations to explore the data.
| Location | YearBuilt | SquareFeet | Bedrooms | Price |
|---|---|---|---|---|
| Urban | 2000 | 2000 | 3 | 250000 |
| Suburban | 1995 | 1500 | 4 | 200000 |
| Rural | 2010 | 2500 | 3 | 300000 |
| Urban | 2018 | 3000 | 5 | 400000 |
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## Attaching package: 'dplyr'
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