1.Histogram :

A histogram is a graph that enables you to visualize the distribution of values of a column.

Example:　

　　import matplotlib.pyplot as plt

　　columns = [‘Median‘,‘Sample_size‘]
　　recent_grads.hist(column=columns)# to visulize the column "Median" and "Sample_size" and present them into two different charts.

2. The box plot: another way to represent a set of data.　

　　sample_size = recent_grads[[‘Sample_size‘, ‘Major_category‘]] #sample_size is a filtered DataFrame which only contain two columns "Sample_size" and "Major_category"

　　sample_size.boxplot(by=‘Major_category‘)# In the filtered DataFrame. We are going to categorize the data by using column "Major_category"

　　plt.xticks(rotation=90)

SeaBorn：

1. Compare to Matplotlib, SeaBorn can create more compelling chart which is in a better style.

Data Visualizations 2