Using AI Chatbots for Data Analysis: A Step-by-Step Guide for Non-Programmers. Introduction. Imagine a university researcher receiving a spreadsheet containing 5,000 survey responses. The researcher wants to know which factors are associated with student satisfaction, whether responses differ between groups, whether unusual observations exist, and which variables deserve further investigation. Traditionally, answering these questions might require spreadsheet formulas, statistical software, programming, visualization tools, and substantial technical knowledge. Conversational data-analysis systems are changing this workflow. A non-programmer can describe an analytical task using ordinary language: “Calculate the average satisfaction score for each study level, identify unusual values, and create a chart comparing the groups.” A capable conversational system may translate that request into executable analysis code, perform calculations, create visualizations, and explain the result...
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