jhu sitrep data management and visualization

clean and plot jhu sitrep

jhu_sitrep_import(source)

jhu_sitrep_cleandb(data)

jhu_sitrep_filter(data, country_region = "all")

jhu_sitrep_cumulative(data)

jhu_sitrep_all_sources(country_region = "all")

jhu_sitrep_all_sources_tidy(data, data_filter = data_filter)

jhu_sitrep_country_report(country_region = "Peru")

jhu_sitrep_cleandb_country_only(data)

Arguments

source	string of source to use: "confirmed","deaths" or "recovered"
data	input of raw jhu dataset
country_region	input country name in english
data_filter	default from jhu_sitrep_all_sources output
country_region	input country name in english

Value

import and cleaned jhu dataset

Functions

• jhu_sitrep_import: import data from github

• jhu_sitrep_cleandb: clean jhu dataset

• jhu_sitrep_filter: clean jhu dataset

• jhu_sitrep_cumulative: clean jhu dataset

• jhu_sitrep_all_sources: clean jhu dataset

• jhu_sitrep_all_sources_tidy: clean jhu dataset

• jhu_sitrep_country_report: clean jhu dataset

• jhu_sitrep_cleandb_country_only: import only numbers for the country

Examples

if (FALSE) {

library(covid19viz)
library(tidyverse)

jhu_sitrep <- jhu_sitrep_import(source = "confirmed")

jhu_sitrep %>%
  jhu_sitrep_cleandb() %>%
  filter(country_region=="Peru") %>%
  arrange(desc(dates))

jhu_sitrep %>%
  jhu_sitrep_cleandb_country_only() %>%
  filter(country_region=="Australia") %>%
  avallecam::print_inf()

jhu_sitrep_import(source = "confirmed") %>%
  jhu_sitrep_cleandb() %>%
  jhu_sitrep_filter(country_region="all") %>%
  jhu_sitrep_cumulative()

jhu_sitrep_all_sources(country_region="Peru")

}