We will use the popular Iris (Iris Plants Database) data set to write a simple analysis code in Python

# Load libraries
import pandas
from pandas.plotting import scatter_matrix
import matplotlib.pyplot as plt

# Loading dataset
url = "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"
names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']
dataset = pandas.read_csv(url, names=names)


print(dataset.shape)        # how many rows and column
print(dataset.head(5))      # showing first n (n=5) rows of data
print(dataset.describe())   # Statical summary of the dataset


scatter_matrix(dataset)     # scatter plot matrix and
plt.show()                  # data visualization