美国肥胖率可视化

# 这个数据集的内容是美国2003-2015年各个州的肥胖率以及各个州的所属区域
obes <- read.csv("obes.csv")
library(ggplot2)
library(reshape2)
library(viridis)
library(dplyr)
library(cowplot)
obgrid <- melt(obes, id = c("state", "reg.bea", "reg.cens"))
names(obgrid) <- c("state", "reg.bea", "reg.cens", "year", "ob.rate")
obgrid$year <- as.character(obgrid$year)
obgrid$year <- obgrid$year %>% gsub(pattern = "ob.", replacement = "20")
obgrid$year <- as.numeric(obgrid$year)

# 先按照2015年的州名排序，再按照2015年的肥胖率排序
obgrid$state <- reorder(
  subset(obgrid, year == 2015)$state,
  subset(obgrid, year == 2015)$ob.rate)
(p1 <- ggplot(obgrid, aes(year, state)) +
  geom_tile(aes(fill = ob.rate)) +
  scale_x_continuous(breaks = 2003:2015) +
  scale_fill_viridis(option = "plasma",
                     labels = scales::percent) +
  labs(title = "各州的成年人肥胖率\n",
       x = "年份",
       fill = "肥胖率") +
  facet_wrap(reg.bea ~ ., scales = "free_y", ncol = 2) +
  theme_bw(base_family = 'STSong', base_size = 12) +
  theme(plot.title = element_text(family = 'STSongti-SC-Bold', hjust = 0.1, size = 20)) +
  theme(plot.margin = grid::unit(c(0.8, 1.8, 1.8, 1.8), "cm")) +
  theme(axis.title.y = element_blank()) +
  theme(axis.text.x = element_text(angle = 45, vjust = -0.2)))

ggdraw(p1) +
  draw_label("制图：程振兴", x = 0.87, y = 0.05, fontfamily = 'STSong', size = 14) +
  draw_image("https://www.czxa.top/images/default28.png",
             x = 0.76, y = 0.02, width = 0.06, height = 0.06)