who sitrep data management and visualization

clean and plot who sitrep

who_sitrep_import(update)

who_sitrep_cleandb(data)

who_sitrep_filter(data, country_region = "all")

who_sitrep_ggline(data, country_region = country_region, y_cum_value,
  color, n_breaks = 5)

who_sitrep_ggbar(data, country_region = country_region, y_inc_value,
  fill, n_breaks = 5)

who_sitrep_country_report(update, country_region)

Arguments

update

string of date to update
data

input of raw who dataset
country_region

name of country region
y_cum_value

cumulative variable
color

colo of attribute
n_breaks

y axis breaks
y_inc_value

incidence variable
fill

fill of attribute
data

input of raw who dataset

Value

report per country_region using digitalized who sitreps

Functions

  • who_sitrep_import: import data from github

  • who_sitrep_cleandb: clean who dataset

  • who_sitrep_filter: clean who dataset

  • who_sitrep_ggline: plot a ggplot geom_line

  • who_sitrep_ggbar: plot a ggplot geom_col

  • who_sitrep_country_report: create a full unified report

Examples


if (FALSE) {

library(covid19viz)
library(tidyverse)

who_sitrep <- who_sitrep_import(update = "2020-03-10")

who_sitrep %>%
    who_sitrep_cleandb() %>%
    filter(country_region=="Peru")

who_sitrep %>%
    who_sitrep_cleandb() %>%
    who_sitrep_filter(country_region = "Peru") %>%
    who_sitrep_ggline(y_cum_value = n_cum_conf,
                      color = class, n_breaks = 10)

}