Using ggplot2 lbjdata themes

Theming chart made in ggplot2 with lbjdata

This is a basic example which shows you how to use lbjdata’s ggplot2 theme. First, load the packages:

library(lbjdata)
library(ggplot2)
library(readr)
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
library(tidyr)

Then, import some data:

provider_types <- read_csv("https://genesis.soc.texas.gov/files/accessibility/vaccineprovideraccessibilitydata.csv") %>% 
  group_by(type = TYPE) %>% 
  summarise(tot_shipped = sum(Total_Shipped),
            tot_avail = sum(VACCINES_AVAILABLE)) %>% 
  drop_na() %>% 
  arrange(desc(tot_shipped))

Then, draw a chart with ggplot2 and add the theme:

provider_types %>% 
  ggplot() +
  geom_col(aes(x=reorder(type, desc(tot_shipped)), 
               y = tot_shipped, 
               fill=type)) +
  geom_text(angle=90, color="#2d2d2d", size = 3.1, family = "LibreFranklin-Bold",
            aes(y= 0, x=type, label = type), hjust = 0) +
  theme_lbj() +
  theme(axis.text.x = element_blank()) +
  labs(title = "Vaccine Supply, By Type of Provider",
       subtitle = "Source: Texas Department of State Health Services")

Matt Worthington

Theming chart made in ggplot2 with lbjdata