View source: R/bubbles_GcdCatNum.R
lflt_bubbles_GcdCatNum | R Documentation |
lflt_bubbles_GcdCatNum()
Create a Leaflet bubbles map based on a particular data type.
In this case, you can load data with only three columns, where the firts it's a geocode column,
the second is a categorical column and the third must be a numeric class column, you should be sure that
three firts columns they meet this condition
lflt_bubbles_GcdCatNum(data = NULL, ...)
Gcd-Cat-Num
Other Gcd-Cat-Num plots:
lflt_choropleth_GcdCatNum()
data <- sample_data("Gcd-Cat-Num", n = 30) lflt_bubbles_GcdCatNum(data) # Activate data labels lflt_bubbles_GcdCatNum(data, dataLabels_show = TRUE) # if you want to calculate the average instead of the sum, you can use agg inside a function lflt_bubbles_GcdCatNum(data, agg = "mean", dataLabels_show = TRUE) # data with more of one column data <- sample_data("Gcd-Cat-Num-Dat-Yea-Cat", n = 30) lflt_bubbles_GcdCatNum(data) # Change variable to color and pallete type lflt_bubbles_GcdCatNum(data, color_by = names(data)[2], palette_type = "sequential") # Change tooltip info and add additional information contained in your data names_data <- names(data) info_tool <- paste0("<b>",names_data[1],":</b> {", names_data[1],"}<br/><b>", names_data[4],":</b> {", names_data[4],"}<br/>") data %>% lflt_bubbles_GcdCatNum(tooltip = info_tool)
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