Challenge 05 - Plate 13 – Unlocking the Power of Data Visualization with R

Overview

Race Amalgamation in Georgia (plate 13), March 4

Install Libraries

# install.packages("tidyverse")
# remotes::install_github("coolbutuseless/ggpattern")

Load Libraries

suppressPackageStartupMessages({
  library(tidyverse)
  library(patchwork)
  library(sysfonts)
  library(showtext)
})

Load Data

url <- "https://raw.githubusercontent.com/ajstarks/dubois-data-portraits/master/challenge/2024/challenge05/data.csv"

dat <- read_csv("https://raw.githubusercontent.com/ajstarks/dubois-data-portraits/master/challenge/2024/challenge05/data.csv")
dat

Bar Plot

dat %>%
  ggplot(aes(x=Category,y=Percentage))+
  geom_col()

Staked Bar Plot

dat %>%
  ggplot(aes(x=1,y=Percentage,fill=Category))+
  geom_col(show.legend = F)

Dubois Style

colors_bar <- c("#1C1C1Bff","#2A1A12ff","#FDBA00ff")
colors_text <- c("#E6D7C6ff","#dc143c","#1C1C1Bff")

sysfonts::font_add_google(name="Public Sans",
                          family = "Public Sans",
                          regular.wt = 100)

sysfonts::font_add_google(name="Public Sans",
                          family = "Public Sans-med",
                          regular.wt = 600)
sysfonts::font_add_google(name="Freehand",
                          family="Freehand")
showtext::showtext_auto()
showtext::showtext_opts(dpi=320)

Stacked Bar Plot with Dubois’ style

dat %>%
  ggplot(aes(x=1,y=Percentage,fill=Category))+
  geom_col(show.legend = F)+
  scale_fill_manual(values = colors_bar)+
  geom_text(aes(label=Percentage))

Plot 1

plot1 <- dat %>%
  mutate(yy=c(Percentage[3]+Percentage[2]+Percentage[1]/2,
              Percentage[3]+Percentage[2]/2,
              Percentage[3]/2)) %>%
  ggplot(aes(x=1,y=Percentage,fill=Category))+
  geom_col(show.legend = F)+
  scale_fill_manual(values = colors_bar)+
  geom_text(aes(y=yy,label=paste0(Percentage,"%")),
            color=colors_text,
            family="Freehand")+
  xlim(0.5,1.5)

Text

text <- c("I.E. FULL-BLOODED\nNEGROES.",
          "I.E. PERSONS WITH\nSOME WHITE BLOOD\nOR DESCENDANTS\nOF LIGHT COLORED\nAFRICANS.",
          "I.E. PERSONS WITH\nMORE WHITE THAN\nNEGRO BLOOD.")

Text Plot

dat %>%
  mutate(text1=rev(cumsum(rev(Percentage))))%>%
  ggplot(aes(x=1,y=text1))+
  geom_text(aes(label=text))

Plot 2

plot2 <- dat %>%
  mutate(text1=rev(cumsum(rev(Percentage))))%>%
  ggplot(aes(x=1,y=text1))+
  geom_text(aes(label=c("BLACK.","BROWN.","YELLOW.")),
            family="Public Sans-med",
            size=3)+
  geom_text(aes(label=text),
          size=1.7,
          hjust=0,
          vjust=2*c(1,0.6,0.7),
          family="Public Sans")+
  ylim(0,110)+
  xlim(0.5,1.7)

Plot Layout

(plot2 + plot1) + 
  patchwork::plot_layout(ncol = 2)

Full Visualization

(plot2 + plot1) + 
  patchwork::plot_layout(ncol = 2) & 
  plot_annotation(
    title="RACE AMALGAMATION IN GEORGIA .",
    subtitle = "BASED  ON  A  STUDY  OF  40,000  INDIVIDUALS  OF  NEGRO  DESCENT.\n",
    caption = "#DuboisChallenge2024 - Challenge05 | Federica Gazzelloni\n") &
  theme_void() &
  theme(plot.title = element_text(hjust=0.5,
                                  family="Public Sans-med",
                                  size=10),
        plot.subtitle = element_text(hjust=0.5,
                                     family="Public Sans",
                                     size=6.5),
        plot.caption = element_text(hjust=0.5,
                                    family="Public Sans",
                                    size=6.5))

Add a place holder

(plot2 + plot_spacer() + plot1) + 
  patchwork::plot_layout(ncol = 3, widths = c(1,0,1)) & 
  plot_annotation(
    title="RACE AMALGAMATION IN GEORGIA .",
    subtitle = "BASED  ON  A  STUDY  OF  40,000  INDIVIDUALS  OF  NEGRO  DESCENT.\n",
    caption = "#DuboisChallenge2024 - Challenge05 | Federica Gazzelloni\n") &
  theme_void() &
  theme(plot.title = element_text(hjust=0.5,
                                  family="Public Sans-med",
                                  size=10),
        plot.subtitle = element_text(hjust=0.5,
                                     family="Public Sans",
                                     size=6.5),
        plot.caption = element_text(hjust=0.5,
                                    family="Public Sans",
                                    size=6.5))

Save it!

ggsave(filename = "your_challenge05.png", 
       bg="#E6D7C6ff",
       height=5.5, width=4.5, unit="in")