Visualizing data is an important step since it helps understand what is going on in the data without actually looking at the numbers and performing complicated computations. It helps in communicating the quantitative insights to the audience effectively.
Seaborn is a library that helps in visualizing data. It comes with customized themes and a high-level interface.
Let us see an example to display Histograms in Python −
import pandas as pd import seaborn as sb from matplotlib import pyplot as plt df = sb.load_dataset('iris') sb.distplot(df['petal_length'],kde = False) plt.show()