Download this file: tute1.csv Download tute1.csv Import the data into R as a data frame named mydata. Here are two ways to do this: 1. Set the working directory or name the file including the path so that R can find the file on your computer. This is necessary if you are using Jupyter notebooks. setwd("~/path/to/your/directory") # For Mac. Paths often start with a tilde (~) to represent your home directory. setwd("C:/Users/YourName/Documents/R_Project_Folder") # For Windows. mydata <- read.csv('file_name.csv', header=TRUE) # now import the file, it will automatically import as a data frame 2. If you are using R or R Studio, you can browse your computer to select the file of interest.   Convert the data to a time series using: mytimeseries <- ts(mydata[,-1], start=1981, frequency=4) The [,-1] removes the first column which contains the quarters; we don't need these now since we have specified frequency = 4.   Create a time plot using the function autoplot and the argument facets=TRUE.   Fill in the blanks to make the following sentences correct: The series "Sales" has [ Select ] no trend trend and [ Select ] no seasonality seasonality . The series with the most consistent pattern through time is [ Select ] "Sales" "AdBudget" "GDP" .