First post

Building a ggplot Visualization

Basic Plot Setup

Set up the basic plot area with axes.

ggplot(mtcars, aes(x = wt, y = mpg))
10 15 20 25 30 35 2 3 4 5 wt mpg
Step 1 of 4

Creating a GGPlot Visualization

Load Libraries

First, we load the necessary libraries: ggplot2 for plotting and palmerpenguins for the dataset.

library(ggplot2)library(palmerpenguins)data(penguins)ggplot(penguins,        aes(x = flipper_length_mm, y = body_mass_g, color = species)) +  geom_point() +  scale_color_manual(values = c("darkorange", "purple", "cyan4")) +  theme_minimal()
Step 1 of 5

Data Manipulation with mtcars Dataset

Load Libraries

First, we load the tidyverse library for data manipulation.

library(tidyverse)mtcars |>  select(mpg, hp) |>  rownames_to_column(var = "car") |>  mutate(kmpl = mpg * 0.425144) |>  arrange(desc(kmpl)) |>  filter(hp > 100)
Step 1 of 5