minor edits and fixes to EDA 1

Author: lanselin

2_R_EDA_1.Rmd

@@ -28,12 +28,11 @@ on data structures and other R particulars. Also, as always in R, there are typi
 For this notebook, we will use socioeconomic data for 55 New York City sub-boroughs from the GeoDa website. Our goal in this lab is show how to implement exploratory data analysis methods that
 deal with one (univariate) and two (bivariate) variables. 
 
-
 ### Objectives {-}
 
 After completing the notebook, you should know how to carry out the following tasks:
 
-- Creating basic univariate plots, such as histogram and box plot
+- Creating basic univariate plots, i.e., histogram and box plot
 
 - Creating a scatter plot
 

2_R_EDA_1.html

@@ -189,7 +189,7 @@ <h2>Introduction</h2>
 <h3>Objectives</h3>
 <p>After completing the notebook, you should know how to carry out the following tasks:</p>
 <ul>
-<li><p>Creating basic univariate plots, such as histogram and box plot</p></li>
+<li><p>Creating basic univariate plots, i.e., histogram and box plot</p></li>
 <li><p>Creating a scatter plot</p></li>
 <li><p>Implementing different smoothing methods in a scatter plot (linear, loess, and lowess)</p></li>
 <li><p>Showing linear fits for different subsets of the data (spatial heterogeneity)</p></li>