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Data Analysis with R Programming


Let's start by loading a dataset to work with. We can use the palmer penguins dataset, which contains size measurements for three penguin species that live on the Palmer Archipelago in Antarctica. This includes data on stuff like body mass, flipper length and bill length. The dataset has 344 rows of information sorted into eight columns. The palmer penguins data is popular with analysts and is great for fun exploration, visualization and teaching concepts.

🐧Introduction to R script and example modified palmer penguins dataset

Penguins Species:


Penguins Species

Relationship between bill length and depth:


Relationship between bill length and depth

Palmer Penguins: Body Mass vs. Flipper Length:


Palmer Penguins: Body Mass vs. Flipper Length

Contains Bill dimensions The culmen is the upper ridge of a bird’s bill. In the simplified penguins data, culmen length and depth are renamed as variables bill_length_mm and bill_depth_mm to be more intuitive.

For this penguin data, the culmen (bill) length and depth are measured as shown below : culmen_depth

penguins_bill_length.csv - Modified palmer penguins dataset

Meet Penguin species: Chinstrap | Gentoo | Adelie Penguin species

bill_length_mm: Penguin bill length in millimeters bill_mass_mm: Penguin body mass in grams Log_bill_length: Log transformed bill_length_mm

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Data Analysis with R Programming - RStudio

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