tidycovid19 (version 0.0.0.9000)

download_merged_data: Download a merged country-day data frame containing Covid-19 related data

Description

Merges data from the Johns Hopkins University CSSE team on the spread of the SARS-CoV-2 virus and the Covid-19 pandemic (https://github.com/CSSEGISandData/COVID-19), case data provided by the ECDC (https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide), the ACAPS governmental measures database (https://www.acaps.org/covid19-government-measures-dataset), Mobility Trends Reports provided by Apple related to Covid-19 (https://www.apple.com/covid19/mobility), Google COVID-19 Community Mobility Reports (https://www.google.com/covid19/mobility/), Google Trends Covid-19 related search volume (https://trends.google.com/trends/), data on tests, vaccinations and hospitalizations as collected by the Our World in Data team, (https://github.com/owid/covid-19-data/tree/master/public/data), and from the World Bank (https://data.worldbank.org) intro a country-day data frame. Variable definitions are provided by the data frame tidycovid19_variable_definitions.

Usage

download_merged_data(
  wbank_vars = c("SP.POP.TOTL", "AG.LND.TOTL.K2", "EN.POP.DNST", "EN.URB.LCTY",
    "SP.DYN.LE00.IN", "NY.GDP.PCAP.KD"),
  wbank_labels = c("population", "land_area_skm", "pop_density", "pop_largest_city",
    "life_expectancy", "gdp_capita"),
  search_term = "coronavirus",
  silent = FALSE,
  cached = FALSE
)

Arguments

wbank_vars

Specify the World Bank data items that you want to retrieve.

wbank_labels

Give somewhat more informative World Bank variable names for the output data frame. Has to match the length of wbank_vars and needs to contain valid variable names.

search_term

Google Trends serch term. Defaults to "coronavirus".

silent

Whether you want the function to send some status messages to the console. Might be informative as downloading will take some time and thus defaults to TRUE.

cached

Whether you want to download the cached version of the data from the tidycovid19 Github repository instead of retrieving the data from the authorative source. Downloading the cached version is faster and the cache is updated daily. Defaults to FALSE.

Value

A data frame containing the data, organized by country and date. It includes a timestamp variable indicating the time of data retrieval.

Details

See the documentation of the separate download functions of the package for more detail.

Examples

# NOT RUN {
df <- download_merged_data(silent = TRUE, cached = TRUE)
df %>%
  dplyr::group_by(iso3c) %>%
  dplyr::filter(population > 10e6) %>%
  dplyr::summarise(
    cases_per_1e5_pop =  max(1e5*(confirmed/population), na.rm = TRUE),
    soc_dist_measures = max(soc_dist),
    .groups = "drop"
  ) %>%
  dplyr::filter(cases_per_1e5_pop >= 1000) %>%
  ggplot2::ggplot(mapping = ggplot2::aes(x = cases_per_1e5_pop,
                                             y = soc_dist_measures)) +
  ggplot2::geom_point() +
  ggrepel::geom_label_repel(ggplot2::aes(label = iso3c)) +
  ggplot2::scale_x_continuous(trans='log10', labels = scales::comma)

# }