Developing charts and graphs

While there are many tools for creating different data visuals, we will review a few basic visualizations, including bar charts, scatter plots, and histograms in Python. Two standard libraries for creating data visualizations in Python are Matplotlib and Seaborn.

In this section, we will discuss the different chart types and how to make them in Matplotlib and Seaborn.

Bar chart – Matplotlib

Matplotlib is a foundational library for visualizations in Python. Here’s a basic example of how you might create a bar chart with Matplotlib:

import Matplotlib.pyplot as plt
# Categories and their associated values
categories = ['Category1', 'Category2', 'Category3', 'Category4']
values = [50, 60, 70, 80]
plt.figure(figsize=(8,6)) # Create a new figure with a specific size (width, height)
plt.bar(categories, values) # Create a bar chart
# Labels for x-axis, y-axis and the plot
plt.xlabel('Categories...