Data-Visualization-with-Python

This comes from Martin Laptev's Fork of the source SkillSoft materials.

Overview

Developing a powerful toolkit to visualize data with static graphs and begin exploring interactive charts.

Objectives:

• Discuss the concepts and use cases of data visualization
• Build static data visualizations in Python
• Build basic interactive data visualizations in Python
• Select the appropriate data visualization for each scenario

Software and package requirements

• Python and Anaconda
• Packages:
  • import pandas as pd
  • import numpy as np
  • import pickle
  • import os
  • import matplotlib.pyplot as plt
  • pip install cufflinks==0.16.0
  • pip install plotly==3.10.0