Imagine you’re sitting with a dataset full of interesting information—like New Year’s resolutions from people all around the world. You’re curious: What are the most popular resolutions? Are more people focusing on health or career goals? How do different age groups or regions approach their goals? These questions could unlock valuable insights, but analyzing the data feels overwhelming, especially if you’re not a coding expert.

That’s where PandasAI comes in—a tool that makes data analysis as easy as having a conversation. Instead of writing long and complex code, you can simply ask questions in plain English, such as, “What are the top 5 resolutions?” or “Show me how health-related resolutions have changed over time.” PandasAI takes your question, translates it into the necessary pandas commands, and gives you the answers.

With PandasAI, data analysis becomes not just a task but an enjoyable journey of discovery, helping you make sense of information and turn it into meaningful insights.

After completing this guided project, you will be able to: 

Before starting this guided project, you'll need a basic understanding of Python programming, although you don't need to be an expert. Familiarity with the pandas library will be helpful but is not required, as you will be working with PandasAI, which simplifies data analysis tasks.For the best experience, it is recommended to use a modern web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari. Most tools are already set up in the IBM Skills Network Labs, so all you need is your curiosity and an eagerness to explore the data.