* Use the word file Casez_README for detailed question prompts for this case. \# R code goes on the line after each question pronpt \# Qoa \# Use the read.csv() function to read in the data. \#\#\#N Name your object train and don't forget the strings=T argunent. \# Q0b \# Use the Library() function to load the gantr Library. \# 01 \# Use the sum() and is.na() functions in a single line of code NHANHW to count the total number of NAs in the dataset. \# Q2. Use the sum() and is.na() functions in a single tine of code \#\#\#\#\#\#H\# to count the number of hones that *do note have a lot frontage recorded. \# Q3 \# Use the sun() and is. na() functions in a single line of code \#\#AH\#\# to count the number of hoses that *do* have a lot frontage recorded. \# Q4 \# Use the mean() function to compute the average \#\#ANANH Lot frontage of the homes in this dataset. \# 05 \# Use the mean() function to conpute the average \#AN\#\#\# lot frontage for a home with at least 1 fireplace. \# 06 \# Use the mean() function to compute the average Annnn\# sales price for a home with lot configuration recorded as corner. \# 07 \# Use tapply() to compute the mean sales price, \#\#\# broken out by lot configuration. \#\#\#HANH\# tapply() is explained in the README in the Canvas assignment! \# Q8 \# Type a line of code: naref(train, inpute =T ) \#\#\#NHANH and give it the object nane trImp (short for "train imputed"). \# 09 \# Use the sum() and is.na() functions in a \#\#\#\# single line of code on the trimp datafrase to verify \#HNNW\# there are no missing values in your inputed data frame