Setting up my environment

Notes: setting up my R environment by loading the tidyverse and palmer penguins packages

library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
## ✓ ggplot2 3.3.5     ✓ purrr   0.3.4
## ✓ tibble  3.1.6     ✓ dplyr   1.0.7
## ✓ tidyr   1.1.4     ✓ stringr 1.4.0
## ✓ readr   2.1.1     ✓ forcats 0.5.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()
library(palmerpenguins)

Visualization

Here we will go through a series of visualizations

Flipper and body mass in purple

Here, we plot flipper length against body mass

ggplot(data = penguins, aes(x=flipper_length_mm, y=body_mass_g)) +
  geom_point(color="purple")
## Warning: Removed 2 rows containing missing values (geom_point).

Flipper and body mass by species

Here, we plot flipper length against body mass and look at the breakdown by species

ggplot(data = penguins, aes(x=flipper_length_mm, y=body_mass_g)) +
  geom_point(aes(shape=species))
## Warning: Removed 2 rows containing missing values (geom_point).

Flipper and body mass by species and sex

Here, we plot flipper length against body mass and look at the breakdown by species and sex

ggplot(data = penguins, aes(x=flipper_length_mm, y=body_mass_g)) +
  geom_point(aes(color=species,
                 shape=species)) +
  facet_wrap(~sex)
## Warning: Removed 2 rows containing missing values (geom_point).