Automated Data Analytics and Visualization System using Prompts
DOI:
https://doi.org/10.15662/IJEETR.2026.0802046Keywords:
Natural Language Prompt Processing, Automated Data Visualization, Pandas Data Analysis, Matplotlib VisualizationAbstract
This project presents a data analytics–based system for automated dataset analysis and visualization using natural language prompts. The system focuses on simplifying data exploration and generating meaningful insights from structured datasets at an early stage of analysis. A Pandas-based data processing approach is used to analyze datasets by handling operations such as data cleaning, filtering, aggregation, and statistical computation based on user prompts. A data visualization module using Matplotlib is used to generate graphical representations such as line charts, bar graphs, and scatter plots to help users understand patterns and trends in the data. Users can upload datasets in CSV format and enter natural language queries to generate automated insights and visualizations instantly. This system helps in faster data understanding and supports analysts and decision-makers in making better data-driven decisions.
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