Question 1

What is Python?

Accepted Answer

Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace.

Question 2

What prerequisites are needed for this course?

Accepted Answer

Whether you’re new to building data visualization or looking to enhance your skills, this is the perfect place to get started.

Question 3

What software is required for this course?

Accepted Answer

The course will walk you through installing Python via Anaconda and then using Pygal inside of Jupyter Notebooks.

Question 4

What is interactive data visualization?

Accepted Answer

Interactive data visualization enables direct actions on a graphical plot to change elements and link between multiple plots.

Question 5

What is pygal?

Accepted Answer

Pygal is a Python module that creates SVG (Scalable Vector Graphics) graphs/charts in a variety of styles. Pygal is highly customize-able, yet also extremely simplistic, which is a very rare combination.

Question 6

What is jupyter notebooks?

Accepted Answer

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

Question 7

How is data visualization used?

Accepted Answer

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

Build Your First Data Visualization with Pygal

Course Features

Course Description

Module 1: Introducing Pygal

Module 2: Visualizing Data with Pygal

Course FAQs