Welcome to my presentation on penguin masses in Antarctica. These data are from the Palmer Penguins dataset. This application generates a histogram which is stratified by species.
PROJECT - Interactive histogram of masses of three different species of penguin
OVERVIEW - The Palmer Penguins dataset is a widely used resource for data science and machine learning education. It offers a more approachable and engaging alternative to the classic Iris dataset, featuring real-world biological data collected from penguin species in Antarctica.
Species Included: Adélie, Chinstrap, and Gentoo penguins.
Sample Size: 344 individual penguins.
Location: Three islands in the Palmer Archipelago Antarctica—Biscoe, Dream, and Torgersen.
Data Collection Period: 2007–2009, as part of the Palmer Station Long-Term Ecological Research (LTER) program led by Dr. Kristen Gorman.
The curated penguins dataset includes the following variables.
species: Penguin species (Adélie, Chinstrap, Gentoo).
island: Island where the penguin was observed.
bill_length_mm: Length of the penguin’s bill (in millimeters). , bill_depth_mm: Depth of the penguin’s bill (in millimeters).
flipper_length_mm: Length of the penguin’s flipper (in millimeters).
body_mass_g: Body mass of the penguin (in grams) – THIS VARIABLE WAS USED TO CREATE THE HISTOGRAM FOR THIS PROJECT.
sex: Sex of the penguin (male or female).
year: Year the observation was made.
DESCRIPTION OF INTERACTIVE HISTOGRAM - In the left upper part of the graphic, there is a dropdown menu entitled “Select Species,” which allows the user to select a species, with the output for that species displayed on the histogram. There is just below this a slidebar entitled “Number of bins,” where the user can choose betwen 5 and 50 bins on the histogram, with the output displayed again in the histogram.
library(slidify)
## install.packages("devtools")
## library(devtools)
## install_github("ramnathv/slidify")
## install_github("ramnathv/slidifyLibraries")library(slidify)
author("mydeck")## Creating slide directory at mydeck...## Finished creating slide directory...## Switching to slide directory...## Initializing Git Repo## Checking out gh-pages branch...## Adding .nojekyll to repo## Opening slide deck...:contentReferenceoaicite:55:contentReferenceoaicite:57
```r
slidify(“index.Rmd”)