View source: R/choropleth_GcdCatNum.R
| lflt_choropleth_GcdCatNum | R Documentation |
lflt_choropleth_GcdCatNum() Create a Leaflet choropleth 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_choropleth_GcdCatNum(data = NULL, ...)
Gcd-Cat-Num
Other Gcd-Cat-Num plots:
lflt_bubbles_GcdCatNum()
data <- sample_data("Gcd-Cat-Num", n = 30)
lflt_choropleth_GcdCatNum(data)
# Activate data labels
lflt_choropleth_GcdCatNum(data,
dataLabels_show = TRUE)
# if you want to calculate the average instead of the sum, you can use agg inside a function
lflt_choropleth_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_choropleth_GcdCatNum(data)
# Change variable to color and pallete type
lflt_choropleth_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_choropleth_GcdCatNum(tooltip = info_tool)
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