I'm not able to plot Taiwan data

This may just be me making some mistake, but:

remotes::install_github("joachim-gassen/tidycovid19")
#> Skipping install of 'tidycovid19' from a github remote, the SHA1 (56a8bd32) has not changed since last install.
#>   Use `force = TRUE` to force installation

if (!require("pacman")) install.packages("pacman")
#> Loading required package: pacman
pacman::p_load(dplyr,
               tidycovid19)

# Download latest data
updates <- download_merged_data(cached = TRUE)
#> Downloading cached version of merged data...
#> done. Timestamp is 2020-05-10 08:06:23
#> 
#> Data Info:
#> This data frame contains Covid-19 related data from multiple sources in
#> a country-day structure. Data sources are JHU CSSE data on confirmed
#> cases, deaths and recoveries
#> (https://github.com/CSSEGISandData/COVID-19), 'Our World in Data' data
#> on testing (https://ourworldindata.org/covid-testing), ACAPS data on
#> governmental measures
#> (https://www.acaps.org/covid19-government-measures-dataset), Apple's
#> Mobility Trend Reports on Apple Map usage
#> (https://www.apple.com/covid19/mobility), Google's Community Mobility
#> Reports on individual movement trends
#> (https://www.google.com/covid19/mobility/), Google Trends data on
#> relative Google search volumes for the term 'coronavirus'
#> (https://trends.google.com/) and country-level World Bank data on
#> population (density), life expectancy and national income
#> (https://data.worldbank.org). The data frame
#> 'tidycovid19_variable_definitions' holds definitions for each variable
#> in this data frame. The data frame 'tidycovid19_data_sources' contains
#> more information on the data sources included in this package. The
#> column 'timestamp' reports the time the data was downloaded from its
#> authoritative source.
#> 
#> For further information refer to:
#> https://github.com/joachim-gassen/tidycovid19.
#> 
# Countries to highlight
Taiwan <- "TWN"

print(plot_covid19_spread(updates,
                          highlight = Taiwan,
                          type = "confirmed",
                          cumulative = TRUE,
                          min_cases = 1,
                          min_by_ctry_obs = 1,
                          edate_cutoff = 50,
                          per_capita = FALSE,
                          log_scale = FALSE,
                          exclude_others = TRUE))
#> Warning in plot_covid19_spread(updates, highlight = Taiwan, type =
#> "confirmed", : Non-NULL 'highlight' value but no countries matched in data (Did
#> you specify correct ISO3c codes or do values for 'min_cases', 'min_by_ctry_obs'
#> and/or 'edate_cutoff' lead to the exclusion of your selected countries' data?)

Created on 2020-05-11 by the reprex package (v0.3.0)

the ISO3c code is correct: https://unstats.un.org/unsd/tradekb/knowledgebase/country-code
min_cases is 1, and Taiwan indeed had at least 1 case: https://ig.ft.com/coronavirus-chart/?areas=twn&areas=kor&cumulative=1&logScale=1&perMillion=0&values=cases
min_by_ctry_obs is set to 1, so this shouldn't be a problem either
same for edate_cutoff, set to 50 so there should be plenty of data to show

Could this be related to the fact that the first confirmed datapoint for Taiwan is a NA?

> filter(updates, iso3c == "TWN")
# A tibble: 110 x 35
   iso3c country date       confirmed deaths recovered ecdc_cases ecdc_deaths total_tests tests_units soc_dist mov_rest
   <chr> <chr>   <date>         <dbl>  <dbl>     <dbl>      <dbl>       <dbl>       <dbl> <chr>          <dbl>    <dbl>
 1 TWN   Taiwan  2020-01-21        NA     NA        NA          1           0          NA NA                NA       NA
 2 TWN   Taiwan  2020-01-22         1      0         0          1           0          NA NA                NA       NA
 3 TWN   Taiwan  2020-01-23         1      0         0          1           0          NA NA                NA       NA
 4 TWN   Taiwan  2020-01-24         3      0         0          1           0          NA NA                NA       NA
 5 TWN   Taiwan  2020-01-25         3      0         0          3           0          NA NA                NA       NA
 6 TWN   Taiwan  2020-01-26         4      0         0          3           0          NA NA                NA       NA
 7 TWN   Taiwan  2020-01-27         5      0         0          5           0          NA NA                NA       NA
 8 TWN   Taiwan  2020-01-28         8      0         0          7           0          NA NA                NA       NA
 9 TWN   Taiwan  2020-01-29         8      0         0          8           0          NA NA                NA       NA
10 TWN   Taiwan  2020-01-30         9      0         0          8           0          NA NA                NA       NA
# … with 100 more rows, and 23 more variables: pub_health <dbl>, gov_soc_econ <dbl>, lockdown <dbl>,
#   apple_mtr_driving <dbl>, apple_mtr_walking <dbl>, apple_mtr_transit <dbl>, gcmr_retail_recreation <dbl>,
#   gcmr_grocery_pharmacy <dbl>, gcmr_parks <dbl>, gcmr_transit_stations <dbl>, gcmr_workplaces <dbl>,
#   gcmr_residential <dbl>, gtrends_score <dbl>, gtrends_country_score <int>, region <chr>, income <chr>,
#   population <dbl>, land_area_skm <dbl>, pop_density <dbl>, pop_largest_city <dbl>, life_expectancy <dbl>,
#   gdp_capita <dbl>, timestamp <dttm>

joachim-gassen / tidycovid19

I'm not able to plot Taiwan data #20