aselvendran aselvendran - 2 months ago 38
R Question

Manually changing the size of the Bubbles for Plotly Bubble Map in R

I am currently trying to change the sizes of the Bubbles for Plotly's bubble map manually. I was successful in changing the colors of the map using the data provided but I am unable to use the same logic to change the size. To change the colors I simply called:

colors_wanted <- c("red", "blue", "black", "pink")
and passed this command to
colors
within
plot_ly
. Do you think it is possible to change the sizes rather than using the formula in this case
sqrt
to claim the sizes?

library(plotly)
df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_us_cities.csv')
df$hover <- paste(df$name, "Population", df$pop/1e6, " million")

df$q <- with(df, cut(pop, quantile(pop), include.lowest = T))
levels(df$q) <- paste(c("1st", "2nd", "3rd", "4th"), "Quantile")
df$q <- as.ordered(df$q)

g <- list(scope = 'usa',projection = list(type = 'albers usa'),showland = TRUE,landcolor = toRGB("gray85"),
subunitwidth = 1, countrywidth = 1, subunitcolor = toRGB("white"),countrycolor = toRGB("white"))

plot_ly(df, lon = lon, lat = lat, text = hover,
marker = list(size = sqrt(pop/10000) + 1, line = list(width = 0)),
color = q, colors= colors_wanted, type = 'scattergeo', locationmode = 'USA-states') %>%
layout(title = '2014 US city populations<br>(Click legend to toggle)', geo= g)

Answer

If you want the size to correspond to a quartile then this works (and there are any number of variations on this that you could do to make the size more analytically meaningful):

plot_ly(df, lon = lon, lat = lat, text = hover, size = as.numeric(df$q), 
        #marker = list(size = sqrt(pop/10000) + 1, line = list(width = 0)),
        color = q, colors= colors_wanted, type = 'scattergeo', locationmode = 'USA-states') %>%
  layout(title = '2014 US city populations<br>(Click legend to toggle)', geo= g)

enter image description here

Here's an interesting variation:

plot_ly(df, lon = lon, lat = lat, text = hover, size = aggregate(df$pop,by=list(df$q),sqrt)$x,
        #marker = list(size = sqrt(pop/10000) + 1, line = list(width = 0)),
        color = q, colors= colors_wanted, type = 'scattergeo', locationmode = 'USA-states') %>%
  layout(title = '2014 US city populations<br>(Click legend to toggle)', geo= g)

enter image description here

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