import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
employees = {'Name of Employee': ['Jon','Mark','Tina','Maria','Bill','Jon','Mark','Tina','Maria','Bill','Jon','Mark','Tina','Maria','Bill','Jon','Mark','Tina','Maria','Bill'],
'Sales': [1000,300,400,500,800,1000,500,700,50,60,1000,900,750,200,300,1000,900,250,750,50],
'Quarter': [1,1,1,1,1,2,2,2,2,2,3,3,3,3,3,4,4,4,4,4],
'Country': ['US','Japan','Brazil','UK','US','Brazil','Japan','Brazil','US','US','US','Japan','Brazil','UK','Brazil','Japan','Japan','Brazil','UK','US']
}
df = pd.DataFrame(employees, columns= ['Name of Employee','Sales','Quarter','Country'])
print (df)
pivot = df.pivot_table(index = ['Country'] , values = ['Sales'], aggfunc = 'sum').plot.bar()
plt.xlabel('Countries')
plt.ylabel('Sales')
plt.title('Sales by Countries')
plt.show()