R Markdown_choroplet Map
## 'data.frame': 104410 obs. of 13 variables:
## $ X : int 1 2 3 4 5 6 7 8 9 10 ...
## $ long : num -69.9 -69.9 -69.9 -70 -70.1 ...
## $ lat : num 12.5 12.4 12.4 12.5 12.5 ...
## $ group : int 1 1 1 1 1 1 1 1 1 1 ...
## $ order : int 1 2 3 4 5 6 7 8 9 10 ...
## $ region : Factor w/ 251 levels "Afghanistan",..: 11 11 11 11 11 11 11 11 11 11 ...
## $ subregion : Factor w/ 1009 levels "'Eua"," British",..: NA NA NA NA NA NA NA NA NA NA ...
## $ Three_Letter_Country_Code: Factor w/ 178 levels "AFG","AGO","ALB",..: NA NA NA NA NA NA NA NA NA NA ...
## $ Continent_Name : Factor w/ 6 levels "Africa","Asia",..: NA NA NA NA NA NA NA NA NA NA ...
## $ Continent_Code : Factor w/ 5 levels "AF","AS","EU",..: NA NA NA NA NA NA NA NA NA NA ...
## $ Country_Name : Factor w/ 178 levels "Afghanistan, Islamic Republic of",..: NA NA NA NA NA NA NA NA NA NA ...
## $ Two_Letter_Country_Code : Factor w/ 177 levels "AE","AF","AG",..: NA NA NA NA NA NA NA NA NA NA ...
## $ Country_Number : int NA NA NA NA NA NA NA NA NA NA ...
World Inequality-Adjusted Development Index (IHDI) for 2017
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
