Housing Data Summary
The HistoricSales data set provides information on home sales in Cincinnati, Ohio. It contains details about the properties sold, their features, and their sale prices. Real estate agents, appraisers, and researchers could use this data to analyze trends and patterns in the housing market. This data can help inform decisions about buying, selling, or appraising properties, as well as understand broader economic trends in the housing market.
Here are five visulization to help display the data
#1 How many homes are in each Street Suffix
This chart shows that there are more homes on DR. than any other suffix The suffix with the least number of homes is CR
#2 What appraisal area has the highest average sale price?
We can concluded that Appraisal area 100 has the highest average sale price This appraisal area has a significantly higher average sale price than other areas
Plot the average sale price for homes per full bathroom
## No summary function supplied, defaulting to `mean_se()`
As the number of full bathrooms in the home increases so does the sale price
How did the number of bathrooms correlate to the total rooms
## `geom_smooth()` using formula = 'y ~ x'
As expected the more bathrooms that are in a house the more total rooms
Does the number of fire places located in a home affect sale price
The chart shows us that on average the more fireplaces that a home has the higher average sale price of the home