library(ggplot2)
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
commute <- readRDS("commute.rds")
# a subset of states for class
states <- c("or", "ak", "ca", "wa", "id", "nv")
commute_nw <- filter(commute, state %in% states)
ggplot(commute_nw) +
geom_bar(aes(x = "", y = prop, fill = factor(transport_type)),
stat = "identity", width = 1) +
facet_wrap(~ state_name) +
coord_polar(theta = "y") +
theme_minimal(18) +
xlab("") + ylab("") +
theme(axis.text = element_blank())

commute_nw_bicycle <- filter(commute, state %in% states) %>%
filter(transport_type == "Bicycle")
ggplot(commute_nw_bicycle, aes(x=state)) +
geom_bar(aes(fill=prop))

ggplot(commute_nw_bicycle, aes(x = "", y = prop, fill = factor(transport_type))) +
geom_bar(stat = "identity", width = 1) +
facet_wrap(~ state) +
theme_minimal(18) +
xlab("") + ylab("") +
theme(axis.text = element_blank())
