EDA on the toy data(penguin data) in Python

import seaborn as sns

import matplotlib.pyplot as plt

penguins = sns.load_dataset(“penguins”)

print(penguins.info())

print(penguins.head(10))

#descriptive statistics

penguins.describe(include=’all’)

#observe the penguin species in one continuous characteristic

print(sns.displot(penguins, x= “flipper_length_mm”,hue= “species”))

It seems that, Adelie penguin’s flipper_length is the the smallest.

#observe the penguin species on two continuous characteristic

sns.FacetGrid(penguins, hue=”species”, size=8) \

.map(plt.scatter, “bill_length_mm”, “bill_depth_mm”) \

.add_legend()

plot shows that Adelie penguin bill length is small but depth is big.

#observe the penguin species on one categorical characteristic

sns.catplot(y=”species”, hue=”sex”, kind=”count”,

palette=”pastel”, edgecolor=”.6", data=penguins)

the proportion of sex is almost 50:50

#observe the penguin species on two categorical chararcteristic

sns.catplot(y=”species”, hue=”sex”, kind=”count”,col = “island”,

palette=”pastel”, edgecolor=”.6",

data=penguins)

Adelie penguin on all the island, and the sex percent is very the same.