library(ggplot2)
library(plotly)
library(dplyr)
library(readr)
setwd("~/R/Machine_Learning")
states <- read_csv("states.csv")
minwage_df <- read_csv("Minimum Wage Data.csv") %>%
inner_join(states, by.x = State, by.y = State) %>%
select(Year,State,Code,Wage=Low.Value) %>%
mutate(hover = paste0(State,"\n$",Wage))
fontStyle = list(
family = "DM Sans",
size = 15,
color = "black"
)
label = list(
bgcolor = "#EEEEEE",
font = fontStyle
)
minwage_graph = plot_geo(minwage_df,
locationmode = 'USA-states',
frame = ~Year) %>%
add_trace(locations = ~Code,
z = ~Wage,
zmin = 0,
zmax = max(minwage_df$Wage),
color = ~Wage,
colorscale = 'Electric',
text = ~hover,
hoverinfo = 'text') %>%
layout(geo = list(scope='usa'), #europe world
font = list(family = "DM Sans")) %>%
style(hoverlabel = label) %>%
colorbar(tickprefix = "$")
minwage_graph