Solved Data analysis with RStudio Consider the Sacramento

Data analysis with RStudio Consider the Sacramento real estate data file (Sacramentorealestatetransactions.csv) attached to this exercise. Create a R script with Rstudio to: 1. Display the structure and content of the file using the function head(). 2. Display the descriptive statistics of the data contained in the file. 3. Clean the dataset (remove outliers and corrupted records). 4. Plot the scatter plot of: a) Number of bathrooms (baths) against price. b) Number of bedrooms (beds) against price. c) Surface of the house (sq_ft) against price. 5. Build a simple regression model explaining the price of the house from its surface. 6. Plot the scatter plot of the observations against predictions, and give the correlation coefficient between the two data series. 7. Build a multiple regression model explaining the price of the house from its number of bathrooms, its number of bedrooms, and its surface. 8. Plot the scatter plot of the observations against predictions, and give the correlation coefficient between the two data series.

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