#this code will plot wind roses from 30 min data from Energy farm using #openair, so openair should be loaded. #1 library (openair) #2 #now look at the data file to familiarize yourself with it. This is a real #data file from a field campaign. #import the data as you did in class (say that you name the data frame #mydata) #3 #this file contains a lot of data you do not need for this homework, so it is #a good idea to get only the data of interest (say that you name a new data #frame interestdata). #For wind roses all you need is date, time, wind speed and #wind direction. #Read also DOY (see toward the end of this unfinished code to see where you #can use it). #4 #rename the columns so that openair can recognize ws and wd but first check #what are the column names in data frame mydata. A simple way for doing this #is by clicking the data frame that appears in the Environment window (top #right, as soon as you run the import () function) #example with 'date' #5 #make a basic windrose #6 #make a windrose with type-month (the data run a span of 5 months) #7 #choose a date/time range and create a windrose for that #for example for weekdays 7AM to 7PM (1.e., 7:19) #hint: create a new dataframe using selectByDate () and then plot the #windrose for the new dataframe #8 #create a series of daily wind roses #hint: use DOY (day of year) from your interestdata dataframe. #choose one starting DOY and one ending DOY #hint: use function subset().