Building Data Analysis and Visualization Courselets Using Notebooks

Name : Manvitha Kuncham

Affiliation : Northern Illinois university

Event : Chameleon User Meeting

What is Notebook

• A free web application
• Originally designed for Python
• Supports other languages, too
• useful for data analysis and visualization
• Displays results (even interactive maps) inline

Why We Use Notebooks

• Notebooks are a useful tool for teaching because they allow you to combine code, data, and text in one place.
• Notebooks make it easy for engaging learning experiences for students.
• Notebooks are interactive, meaning that students can experiment with code and see the results in real-time.
• Including images and other multimedia in Jupyter Notebooks can make them even more engaging and informative for students.

Benefits of using Notebooks for Teaching

• Using Jupyter notebooks in teaching has benefits for both students and instructors.
• For students, it can increase engagement, participation, understanding, and performance.
• For instructors, it can make teaching more interactive, flexible, and fun.

Engagement

• Jupyter notebooks provide a hands-on, interactive experience for students.
• Students are more likely to stay engaged with the course material when using Jupyter notebooks.
• Using Jupyter notebooks for data analysis projects can help students understand how the concepts they are learning apply to real-world scenarios.

Participation

• we can add quizzes, exercises, and interactive widgets
• Quizzes and exercises allow students to test their understanding and reinforce concepts.
• Interactive widgets can help students explore and visualize data in real-time
• Active participation promotes deeper learning and retention of course material

Intermediate results

• support rich output formats, such as HTML, various media types like images and videos.
• output generated by the code is displayed immediately below the cell.
• Allows data to display in table format and using some libraries we can also create some visulization for the data to see the trends and patterns.

Why Notebooks are so Popular for Data Analysis and Visualization

• Exploratory Data Analysis.
• Easy Caching of results for each cells.
• Allows integrating variety of libraries for visualization and analysis.
• Live interactions.
• Documenting the code.

Chameleon Cloud

• large-scale, open research testbed for cloud architectures and applications.
• Provides Jupyter interface which allows users to create and manage virtual environments for their notebooks
• The integration of Chameleon Cloud with Jupyter notebooks offers benefits including scalability, flexibility, and collaboration.

Trovi

• Also supports collaborative features, such as sharing notebooks with other users, and assigning permissions.

Thank You