library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
# Importing the dataset
data = iris
data %>%
gather(Attributes, Value, 1:4) %>%
ggplot(aes(x=Value, fill=Attributes)) +
geom_histogram(colour="black") +
facet_wrap(~Species) +
theme_bw() +
labs(x="Values", y="Frequency",
title="Iris data set",
subtitle="Histogram for each species") +
theme(legend.title=element_blank(),
legend.position="bottom")
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
