This course aims to provide a concise introduction to data visualization by leveraging the power of the NAIC infrastructure. With this training material, we intend to support researchers who wants to perform exploratory data analysis and visualization on large datasets. Here, we will demonstrate the use of sophisticated visualization tools/techniques. The example materials will serve as a reference template the users can adapt in their projects.
- Basic knowledge in Python.
- Basic knowledge in Linux commands.
Section 1: Introduction to HPC Visualization
This section will give an idea about the need for HPC visualization. You can use the section to navigate different parts of the training material based on the type of data and/or domains.
Section 2: NAIC Remote Visualization Setup
This section will provide all setup information along with a summary of expected user workflow.
Section 3: Data Wrangling for Visualization
This section will provide details on moving data, storage formats and representation of data that are suitable for visualization algorithms/tools.
Section 4: Visualization Projects
This section will cover relevant visualization projects that can cover different types of data
All the training materials can be accessed at: https://github.com/link-here/link-here/link-here