#' Internal function to generate hex sticker
#' @keywords internal
generate_cansim_hex_sticker <- function (){
income_data <- cansim::get_cansim("11-10-0239") %>%
cansim::normalize_cansim_values()
income_age_groups <- c("16 to 24 years", "25 to 34 years" , "35 to 44 years" , "45 to 54 years" ,"55 to 64 years", "65 years and over")
income_plot_data <- income_data %>%
dplyr::filter(Sex=="Both sexes",
Statistics=="Median income (excluding zeros)",
`Income source`=="Total income",
`Age group` %in% income_age_groups) %>%
dplyr::mutate(`Age group`=factor(`Age group`,levels=income_age_groups)) %>%
dplyr::group_by(GEO,`Age group`) %>%
dplyr::left_join(dplyr::filter(.,Date==min(Date)) %>%
dplyr::select(VALUE) %>%
dplyr::rename(first_value=VALUE)) %>%
dplyr::mutate(index=VALUE/first_value-1)
pd <- income_plot_data %>% dplyr::filter(GEO=="Canada")
ed <- pd %>% dplyr::filter(Date==max(Date))
ca_data <- cancensus::get_census("CA16",regions=list(C="01"),geo_format='sf') %>% sf::st_transform(102002)
q <- ggplot2::ggplot(ca_data) +
ggplot2::geom_sf(fill="grey20",size=0.01) +
ggplot2::theme_void() +
hexSticker::theme_transparent()
bbox=sf::st_bbox(ca_data)
p<-ggplot2::ggplot(pd,ggplot2::aes(x=Date,y=VALUE,color=`Age group`)) +
ggplot2::geom_line() +
ggplot2::scale_color_brewer(palette="Dark2",guide=FALSE) +
ggplot2::labs(x="",y="") +
ggplot2::theme_void() +
hexSticker::theme_transparent()
pp <- q +
ggplot2::annotation_custom(ggplot2::ggplotGrob(p),
xmin=1.5*bbox$xmin,xmax=1.5*bbox$xmax,
ymin=bbox$ymin*0.8+bbox$ymax*0.2,ymax=bbox$ymax*1.1)
hexSticker::sticker(pp, package="cansim",
p_size=8, p_y=1.5,
s_x=1, s_y=0.78, s_width=1.5, s_height=1.5,
h_color="#FF0000",
h_fill="grey40",
p_color="white",
filename=here::here("images/cansim-sticker.png"))
}
#' Internal function to update table list
#' @keywords internal
update_internal_data <- function(){
cansim_table_list <- list_cansim_tables(refresh=TRUE)
usethis::use_data(cansim_table_list, internal = TRUE,overwrite = TRUE)
}
#' @importFrom dplyr %>%
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