library(plotly)
ggplotly(p, tooltip = c("female_pct_male", "occupation")) %>%
layout(showlegend = FALSE) %>%
config(displayModeBar = FALSE) -> p1
p1
I wrote a piece at The Ambitious Economist on Australia’s gender wage gap with some good ol’ ggplot2
dataviz. However, there was a chart showing the gender wage gap by occupation that could have benefited from some interactive visualisation. Fortunately, the R package plotly makes this quite simple, with just two more lines of code …