params$continent_name
[1] "Asia"
$selected_year
[1] 2007
params$continent_name
[1] "Asia"
$selected_year
[1] 2007
Here is the table of Asian countries in 2007
#tb_plot <- gapminder |>
# filter(continent == 'Asia' & year == 2007) |>
# select(-continent)
#datatable(tb_plot)
#or
tb_plot <- gapminder |>
filter(continent == params$continent_name & year == params$selected_year) |>
select(-continent)
datatable(tb_plot)gg <- ggplot(tb_plot) +
aes(x=gdpPercap,y=lifeExp,label=country) +
geom_point() +
theme_gray()
ggplotly(gg)