Abstract

This project provides statistical inference over the covid-19 pandemic in Latin America. The goal is to find correlations between the Human Development index and the coronavirus outbreak by country.

Managing the data

##  AFRO  AMRO  EMRO  EURO Other SEARO  WPRO 
##  6896  7967  3462  9753   184  1680  3230
## Warning in merge.data.frame(population_life_ed, income_HDI, by.x = "country", :
## column names 'X.x', 'iso.x', 'year.x', 'X.y', 'iso.y', 'year.y' are duplicated
## in the result
##      LOW  MID-LOW MID-HIGH     HIGH 
##      140      722     2548      795

Plotting

## 
## 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
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
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##     layout
## Warning: `group_by_()` is deprecated as of dplyr 0.7.0.
## Please use `group_by()` instead.
## See vignette('programming') for more help
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_warnings()` to see where this warning was generated.

## Warning: Use of `analysis$ruralpop` is discouraged. Use `ruralpop` instead.
## Warning: Use of `analysis$urbanpop` is discouraged. Use `urbanpop` instead.