05_flipping_democratic_seats.Rmd

name: flippingseats
# Flipping seats 



```{r, echo = F}
library(tidyverse)
df <- tribble(~year, ~percent, ~category,
2006,  3, "POC",
2006, 13, "Women",
2006, 23, "Under 45",
2006, 83, "White men",
2018, 21, "POC",
2018, 68, "Women",
2018, 53, "Under 45",
2018, 24, "White men") 
```



---

```{r flipping_seats, echo = F, eval = F}
ggplot(df) +
  aes(x = factor(year), y = percent) +
  facet_wrap(~ forcats::fct_inorder(category), 
             nrow = 1) +
  geom_col(aes(y = 100), fill = "white", 
           width = .6, alpha = .1, col = "grey") +
  geom_col(width = .6, alpha = .5) +
  aes(fill = category == "White men") +
  ylim(c(0,100)) +
  theme_bw() +
  labs(x = "") +
  labs(y = "Demographic's percentage \n of the seat flipping") +
  aes(group = category) +
  geom_line(col = "grey", lty = "dashed", 
            mapping = aes(x = c(1.3, 1.3, 1.3, 1.3, 1.7, 1.7, 1.7, 1.7))) +
  scale_fill_manual(values = c("blue", "darkgrey"), guide = FALSE) +
  labs(title = "Who's the face of the 'Blue Wave'?") +
  labs(subtitle = "Data: https://twitter.com/williamjordann/status/1063482594938028032 \n --- seats were flipped to democratic in 2006, and --- seats in 2018") +
  labs(caption = "Chart by Gina Reynolds") 

```

```{r, echo = F, warning=F, message=F, eval = T, fig.show='hide'}
get_what_save_what <- "flipping_seats"
eval(parse(text = paste(knitr:::knit_code$get(get_what_save_what), collapse = "")))
ggsave(paste0("figures/", get_what_save_what, ".png"), dpi = 300)
```

`r apply_reveal("flipping_seats")`

---