$1.$ Data Cleaning:$($a$)(2$pts$)$ How many companies are included in the Stocks.csv dataset?$($b$)(4$pts$)$ How many missing values are there for each variable? How many in$-$complete observations are there?$($c$)(8$pts$)$ Clean up the missing data by either removing all incomplete observationsor by imputing values for the missing data. Which option did you choose?Why?$($d$)(2$pts$)$ Add a column to this dataset obtained by taking the log base $10$ of thebook value.$($e$)(2$pts$)$ Add a column to this dataset obtained by taking the log base $10$ of themarket cap.$($f$)(2$pts$)$ Add a column to this dataset obtained by taking the log base $10$ of theEBITDA.$($g$)(4$pts$)$ Create a variable that is $1$ if the company has a price$-$to$-$earnings ratiogreater than $12$ and is O otherwise. Add this variable as a column in the dataset.