# library(tidyverse)
# library(gt)
#
#
# unique_age_adjusted_comor <- age_standard_rate_sympt_2910_2020 %>%
# distinct(country, symptoms, age_standardise_rate_in_sympt
# ) %>%
# dplyr::mutate(standardised_symptom_rates = round(age_standardise_rate_in_sympt, 2)) %>%
# select(-age_standardise_rate_in_sympt)
#
#
#
# pivlong_sympt <- unique_age_adjusted_comor %>%
# dplyr::select(country, symptoms, standardised_symptom_rates) %>%
# tidyr::pivot_wider(names_from = "country",
# values_from = "standardised_symptom_rates")
#
#
# write.csv(pivlong_sympt, file = "/Users/gabrielburcea/rprojects/data/your.md/age_standardised/adjusted_rates_comorbidities_tables.csv", row.names = FALSE)
#
#
# pivlong_sympt %>%
# dplyr::arrange("symptoms") %>%
# gt()
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