#' @importFrom magrittr "%>%"
#' @importFrom rlang ".data"
#' @importFrom dplyr "distinct"
#' @importFrom dplyr "pull"
#' @importFrom dplyr "filter"
#' @export
gg_plotly = function(data, lang = "en"){
idbank_selected = data %>% distinct(.data$IDBANK) %>% pull(.data$IDBANK)
list_fig = lapply(idbank_selected, function(id, lang_fig = lang){
data_id = data %>% filter(.data$IDBANK == id)
if(lang == "en"){
title_fig = data_id %>% distinct(.data$TITLE_EN) %>% pull(.data$TITLE_EN)
hovertext_date = "Date :"
hovertext_value = "<br>Value :"
}else{
title_fig = data_id %>% distinct(.data$TITLE_FR) %>% pull(.data$TITLE_FR)
hovertext_date = "Date :"
hovertext_value = "<br>Valeur :"
}
fig = plotly::plot_ly(data_id, x = ~DATE, y = ~OBS_VALUE, type = 'scatter', mode = "lines",
text = ~paste(sprintf("%s", hovertext_date), DATE,
sprintf("%s", hovertext_value), round(OBS_VALUE, 2)),
hoverinfo = "text",
name = title_fig) %>%
plotly::layout(legend = list(orientation = 'h')) %>%
plotly::add_annotations(
text = title_fig,
x = 0,
y = 1,
yref = "paper",
xref = "paper",
xanchor = "left",
yanchor = "top",
showarrow = FALSE
)
return(fig)
})
nrows_fig = floor(sqrt(length(idbank_selected)))
fig_final = plotly::subplot(list_fig, nrows = nrows_fig)
return(fig_final)
}
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