Let's say I have a dataset with percentages of males and females in each town, and groups of towns (let's say states):
town <- 1:4
females <- c(64.5, 86.3, 35.7, 45.6)
males <- 100 - females
state <- c(1, 2, 2, 1)
df <- c(town, females, males, state)
What I wanna do is generate a stacked horizontal bar chart using the Plotly package, in a way that I'll have 2 bars (one for each state) and the mean percentages of each gender in these bars. The sum of mean males and females should be 100%. I'm aware I'll have to transform the data I have, maybe use a group_by state, but I don't know exactly how.
Thanks in advance!
I think you may have intended to set up your data frame like this:
df <- data.frame(town = town, females = females, males = males, state = factor(state))
instead of using c()
which will create a vector.
Reshaping data could be done, using pivot_longer
from dplyr
so that you have a separate column for gender and percentage (within each town and state).
Then, you can compute the percentage_mean
by grouping by state
and gender
.
library(tidyverse)
library(plotly)
df %>%
pivot_longer(cols = c(females, males), names_to = "gender", values_to = "percentage") %>%
group_by(state, gender) %>%
summarise(percentage_mean = mean(percentage)) %>%
plot_ly(
x = ~percentage_mean,
y = ~state,
color = ~gender,
type = "bar",
orientation = "h"
) %>%
layout(
barmode = "stack"
)
Plot
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