A library for data visualization with LLMs
Project description
Visualisation with LLM
Description
visualisation-with-llm is a library for automatic data visualization generation using Large Language Models (LLMs) like Google Gemini. It helps users upload datasets, define problems, and automatically generate, customize, and export visualizations.
Features
- Automatic Visualization Generation: Leverages LLMs to propose relevant visualizations based on dataset and user problem statement.
- Customization Options: Users can adjust visualization titles, axes, and chart types to meet their needs.
- Interactive Data Filtering: Allows users to filter data by column values before generating visualizations.
- Wide Range of Visualizations: Supports scatter plots, line charts, bar charts, histograms, boxplots, heatmaps, and more.
- Data Summarization: Automatically provides summary statistics of the dataset, including numeric and categorical details.
- Export Options: Users can download visualizations as PNG, datasets as CSV, and configurations as JSON files.
- Streamlit Web Interface: Built with Streamlit for an interactive and user-friendly web-based application.
Installation
To install the package, run:
pip install visualisation-with-llm
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