EXP Project

Data Import

Tests whether the average home price differs from the set value. The results show a significant difference.

Compares the average home price between two groups (small vs. large homes) to determine whether the difference in means is statistically significant. The test evaluates whether group size has a meaningful impact on price.

Creates categories needed for statistical testing, such as grouping homes by price, size, or location.

Displays the average home price by number of bedrooms. The chart shows a clear upward trend, indicating that homes with more bedrooms generally have higher prices, supporting the conclusion that home size is a key driver of pricing.

Groups data into Puerto Rico vs. other states so it can be used in later comparisons.

Compares average home price between Puerto Rico and other states to see if the difference is statistically significant.

Keeps only the relevant variables (price and house size) for visualization, removing unnecessary columns to simplify analysis.

Visualizes the relationship between house size and price to identify patterns or trends. The plot shows a positive relationship, indicating that larger homes generally have higher prices.

Groups homes by number of bedrooms and calculates the average price for each group, allowing comparison of how price changes as home size increases.

Filters out homes with more than 6 bedrooms to reduce the impact of extreme values and make the final results more representative.