Data Visualization

Data visualization in Python is making graphs or charts to help people understand data better. Instead of looking at numbers, you can create graphs which are easy to understand by just looking at them, like bar charts or line graphs, using Python code. These visuals make it simpler to see patterns and values in your data, which can be helpful for decision-making and problem-solving.

This is an example of plotting a graph using the seaborn function.

import seaborn as sns 

import matplotlib.pyplot as plt 

days = [1, 2, 3, 4, 5] 

bananas = [5, 10, 15, 20, 25] 

sns.lineplot(x=days, y=bananas)  

plt.xlabel('Days')

 plt.ylabel('Number of Bananas') 

plt.title('Number of Bananas Over Time') 

plt.show() 

This will be the output of this code :