who_sitrep_import: who sitrep data management and visualization

In avallecam/covid19viz: Vizualize the WHO COVID-19 sitreps per Country

Description

clean and plot who sitrep

Usage

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

## Not run: 

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)


## End(Not run)

avallecam/covid19viz documentation built on Sept. 24, 2020, 3:43 p.m.