Run the code block below. Libratitidyrare) #-Attaching packages tidyverse 1.3.1- pleta 3.3.5 tibble 3.1.6 tidyr 1.1.4 reads 2.1.0 PEET 0.3.4 dplys 1.0.7 string 1.4. eccata 1.3.1 # Conflicts xdplyuliert mask statsritilter) #x dplyrilago) maske statslag tidyverse, conflitat) Load the property.csv file into a data frame. prepredvedetails.cavy Row 347 Columns 4 Colume specification Delimiters che (2) date, type dhl (2) price, bedrocas Use "spect to retrieve the full column specification for this data. # Specify the column types or set show el_types - FALSE" te quiet this message. 1. Calculate and show the mean price of the house properties and unit properties. Atilbler #2. type an price dels i bosa 626587. 63974). 5. Find the years having a total income of more than $13,000,000 from selling properties. # 1 2008 13578044 22 2009 13866933 - 2010 14364124 - 4 2011 14512927.5 2012 14881292 2 6 2013 15031086 7 2014 15370890 15892042.9 2016 16459234 # 10 2017 17077926 11 2010 17359589 STOEP 4. Run the code below to create a new column "year" which is the year from the sales date. You do not need to do anything else in this question after you run the code.prop#years.format(a. Date propodate, tornat "/w/1Y*). *Y") 5. Find the years having a total income of more than $13,000,000 from selling properties. A tibbles 12. year total_Income ehr cabl> - 2008 13578044-2 2009 13866933 2) 2010 14364124 2 2011 14512927 # 5 2012 148812926 2015 15031036 . 7 2014 15370830 2015 15892862 9 2016 16459234 # 10 2017 17077926 11 2010 17359589