I need to draw this chart by using my existing data.
This is what my data looks like.
This is the error:
This is what I tried:
percent_incarcerated <- c(0, 5)
top_10_black_incarceration_plot <- ggplot(top_10_black_incarceration_states_df)+
geom_col(aes(x = state, y = percent_incarcerated, fill = c(Black, Total)),
position = "dodge", stat="identity") +
geom_col(position="dodge", stat="identity")
Using your data, I was able to generate the following.
df <- data.frame(
State = c('LA', 'DC', 'MS', 'GA', 'AL', 'KY', 'PA', 'SC'),
Black = c(0.6, 0.4, 0.4, 0.3, 0.2, 0.2, 0.2, 0.2),
Total = c(1.0, 0.4, 0.7, 0.6, 0.5, 0.8, 0.4, 0.4)
)
library(ggplot2)
library(dplyr)
library(tidyr)
df_long <-df %>%
pivot_longer(cols = c(Black, Total), names_to = 'Type', values_to = 'Percent_Incarcerated')
df_long %>%
ggplot(aes(x = Percent_Incarcerated, y = State, fill = Type)) +
geom_bar(position = 'dodge', stat = 'identity') +
scale_fill_manual(values = c('black', 'red')) +
scale_x_continuous(labels = function(x) paste0(x, '%')) +
labs(
title = 'States with Highest Rate of Black Incarceration',
x = 'Percent Incarcerated'
) +
theme(
legend.title = element_blank()
)
Created on 2021-02-23 by the reprex package (v0.3.0)
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