Using ChatGPT and Kaggle for data analysis and data visualization

In today’s data-driven world, professionals from various fields, including journalists, are expected to analyze and visualize data to inform their work. However, many people may be intimidated by the coding aspect of data analysis and might not be aware of how emerging technologies like ChatGPT – an advanced language model that uses artificial intelligence to assist with a wide range of tasks – can simplify the process.

Led by CCIJ Editor Yuxi Wang, this session will show attendees how to do data analysis and visualization using ChatGPT as well as  Kaggle, a platform for data science competitions and collaborative projects that provides users with pre-configured Jupyter notebooks and eliminates the need for users to set up their own Python environments.

The session will use the conflict dataset from ACLED to analyze and visualize Nigeria election violence as a case study. Attendees will walk away with:

• An understanding of how to register, navigate, and use ChatGPT and Kaggle for data analysis and visualization.
• An awareness of how ChatGPT can simplify data analysis and make it more accessible to non-coders, thus breaking down barriers.

By the end of the session, attendees will have gained skills in data analysis and visualization, as well as the confidence to embrace these powerful tools in their work. The session aims to inspire participants to explore new ways to leverage data in their respective fields with AI tools.