Now create another new data frame with only the temperature data for the Brazilian city of Canoas. The data includes the average monthly temperature $($in degrees Fahrenheit$)$ for each month for a large number of years $($in the column AverageTemperatureFahr$).$ Next, create a vector called $**$temp$\_$cat$**$ that re$-$codes the quantitative AverageTemperatureFahr data into a categorical variable as follows:$*$ If the temperature is greater than or equal to $74,$ code it as "High"$*$ If the temperature is greater than or equal to $60$ and less than $74,$ code it as "Medium"$*$ If the temperature is less than $60,$ code it as "Low"$$That is$,$ each element of $**$temp$\_$cat$**$ should contain a value of "High", "Medium" or "Low", depending on the corresponding element of AverageTemperatureFahr in the Canoas data frame.$$Finally$,$ use the $**$table$()**$ function of R to show how many months in the Canoas data frame are classified as "High", "Medium" or "Low" average monthly temperature.