The Palmer Penguins dataset is a simple iris-like dataset to teach Data Science concepts. The Palmer Penguin data has lots of information about three penguin species in the Palmer Archipelago, including size measurements, clutch sizes, and blood isotope ratios. There are 344 rows and 8 columns.

# Import packages
import pandas as pd
import seaborn as sns
# Load dataset
penguins = sns.load_dataset("penguins")
# Examine first 5 rows of dataset
penguins.head()

penguins.info()

The output of info() is.

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 344 entries, 0 to 343
Data columns (total 7 columns):
 #   Column             Non-Null Count  Dtype  
---  ------             --------------  -----  
 0   species            344 non-null    object 
 1   island             344 non-null    object 
 2   bill_length_mm     342 non-null    float64
 3   bill_depth_mm      342 non-null    float64
 4   flipper_length_mm  342 non-null    float64
 5   body_mass_g        342 non-null    float64
 6   sex                333 non-null    object 
dtypes: float64(4), object(3)
memory usage: 18.9+ KB

Let’s look at some descriptive statistics. The .T transposes the output so that it fits on the screen to take up less vertical space.

penguins.describe().T    # the dot T transposes the output