In PlasterPate/covid19Tracker: Track coronavirus(COVID-19) cases all over the world

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(covid19Tracker)

options(scipen = 999)

Geting Data

You can get full data by simply calling fetchData(). it returns a dataframe. Each row contains information of a single country in a single day.

Columns are:

• Region: Name of the country
• Date: Day of observation. Date is in format "yyyy-mm-dd" or "yyyy/mm/dd"
• CumConfirmed: Total number of confirmed cases until this day
• Confirmed: Number of new confirmed cases in this day
• CumDeath: Total number of death cases until this day
• Death: Number of new death cases in this day
• Lat: Latitude of the country on map
• Long: Longitude of the country on map

dataset <- fetchData()
tail(dataset)

You can view list of all countrie that you can pass to plotCountryTimeline()

unique(dataset$Region)

Visualizing Data

You can plot a choropleth map of world with plotWorldMap(). This function has two arguments:

• dateRange: A vector of length 1 or 2 containing date strings. If you pass one date, a plot is drawn for that specific day. If you pass two dates, a plot is drawn for days between these two day.(first and last day wich are passed, are included). Proper formats of date is "yyyy-mm-dd" and "yyyy/mm/dd"

• type: A string indicating the case of infected person. Can be one of "Confirmed" or "Death"

An example with one date

dateRange = c("2020-08-23")
type = "Death"
plotWorldMap(dateRange, type)

An example with two dates

dateRange = c("2020-08-23", "2020-08-24")
type = "Confirmed"
plotWorldMap(dateRange, type)

PlasterPate/covid19Tracker documentation built on Dec. 31, 2020, 4:18 p.m.