In this assignment, you will be working with a dataset on housing prices. The dataset contains information about various houses, including their location, size, and price. Your task is to read the dataset, clean it$,$ and perform some basic data analysis.

The dataset is: Housing.csv

Read the file, Houasing.csv in RStudio making sure strings are read as factors. Save it to a dataframe called housing$\_$data. Print the first $10$ observations to verify the completion.Overwrite the housing$\_$data dataset with ONLY the following variables $($columns$)$: price, area, bedrooms, stories, basement, furnishingstatus. Determine the variable types of each variable $($column$)$ in the new data frame.Determine the variable types $($int$,$ num or factor$)$ of each variable $($column$)$ in the data frame.Generate summary statistics for all variables of housing$\_$data.Create bar charts of ALL the variables that are of class factor. Describe what you see $($i$.$e$.,$ which level is most common$).$Create histograms of the variables price and area. Describe what you see $($i$.$e$.,$ shape of the distributions$).$Create a scatter plot with price on the Y$-$axis and area on the X$-$axis. Describe what you see in the relationship.Subset the data into a data frame called housing$\_$basement that includes only homes with basement $($that is$,$ with values for the variable basement equal to "yes"$).$ Use the head$()$ function to print the first few lines of the resulting dataframe.Get a pie chart for the variable furnishingstatus on the housing$\_$basement dataset.