Editing Statistics and Statistical Programming (Fall 2020)/pset1 (section)

=== PC1. Access and describe a dataset provided in an R library === 

# Load the <code>openintro</code> R package and the <code>county</code> dataset so that they are available to you. Let's get to know this data! You may already be familiar with it from Chapter 1 of the ''OpenIntro'' textbook and a codebook is available [https://www.openintro.org/data/index.php?data=county on the openintro website]. (''Note: there are a few other datasets in the <code>openintro</code> package with similar names. The one you want is <code>county</code> and is described on the site linked above.'')
# Find out the class of the <code>county</code> dataset object. 
# Find out how many rows and how many columns are in the <code>county</code> dataset. 
# Find the names of all of the variables (columns) as well as the class of each of the variables. 
# Summarize at least one continuous or discrete numeric variable in the dataset. Calculate the length, range (minimum and maximum), mean, and standard deviation.
# Plot a visual summary (maybe a boxplot or a histogram?) for the same numeric variable you used in PC1.4 above. 
# Summarize at least one categorical variable in the dataset (e.g., if the variable takes values of TRUE/FALSE or NA, how many of each are value are there?).