# Importing usefull libraries
import pandas as pd
import seaborn as sns
# reading iris dataset from seaborn
iris = sns.load_dataset('iris')
iris.describe()
iris.head()
# scatter plot
sns.scatterplot(data = iris, x = 'sepal_length', y = 'petal_length', hue = 'species')
# joint plot
sns.jointplot(data = iris, x = 'sepal_length', y = 'petal_length', hue = 'species')
# box plot
sns.boxplot(data = iris, x = 'species', y = 'sepal_length')
# bar plot
sns.barplot(data = iris, x = 'sepal_length', y = 'petal_length')
# co-variance matrix
sns.pairplot(iris)
# co-variance matrix
sns.pairplot(iris, hue = 'species')
iris.corr()
sns.heatmap(iris.corr(), annot = True)