18.1. Data Visualization with Python

Read the following articles, follow along where instructed:

18.1.1. Intro to Data Visualization

1. An Intuitive Guide to Visualization in Python.

2. What is Data Visualization and Why Is It Important?.

3. 10 Essential Data Visualization Techniques, Concepts & Methods To Improve Your Business - Fast.

4. Data Visualization 101: How to Choose the Right Chart or Graph for Your Data.

5. Designing Charts and Graphs: How to Choose the Right Data Visualization Types.

18.1.2. Matplotlib and Graphs

1. Matplotlib Tutorial.

2. Types of Graphs.

3. 14 Data Visualization Plots of Seaborn.

4. Data Visualization: Chart Dos and Don’ts.

18.1.3. Check Your Understanding

Question

When would you use a line histogram?

Question

What does a box plot show?

Question

What does a pie chart do best?

Question

How does a histogram differ from a bar chart?

Question

What are the top 10 data visualization techniques?

Question

What kind of chart would you choose to handle semi-structured or decidedly unstructured sets of data efficiently?

Question

Match each plot style to purpose:

Plot Style	Purpose
pie	distribution
scatter	comparison
bar	comparison

Question

What plot styles may help you understand a trend in your dataset?

Question

If you wanted to visualize how many LaunchCode students live in the different zip codes in your city, which chart would be most appropriate?

Question

What is a weakness of a pie chart?