Data Visualization is an amazing way to share your data insights and stories. In this course, Build Your First Data Visualization with Pygal, you will learn how to easily and quickly build an interactive data visualization with minimal code and effort. First, you will be installing Python via Anaconda, understanding dependencies, and how to make your data visualization interactive without leaving the browser. Next, you will be creating and styling your first chart with Pygal inside of Jupyter Notebooks. Finally, you will go over outputs so you can share your new data visualization with others. By the end of this course you will be able to quickly and easily build your own interactive data visualization.
Author Name: Troy Kranendonk
Author Description:
Troy Kranendonk is a Principal Data Author with extensive experience in data analysis, business intelligence, and the art of data visualization. With a background in Digital Media Education, Troy has a passion for innovation and leveraging technology to push boundaries. He has taught a variety of subjects including motion graphics, film, graphic design, 3D animation, Action Script, HTML, and CSS. Currently, Troy focuses on data education, excelling in content creation and sharing his expertise t… more