Generated by Gemini:LIDA (LInguistic Infographics and Data Analysis) is an open-source Python library from Microsoft for generating visualizations and infographics from data using large language models (LLMs). LIDA is grammar-agnostic, meaning that it can be used to generate visualizations in any programming language and visualization library. LIDA also works with multiple LLM providers, including OpenAI, Azure OpenAI, PaLM, Cohere, and Huggingface.
LIDA has four main components:
- Summarizer: Converts data into a rich but compact natural language summary.
- Goal explorer: Enumerates visualization goals given the data.
- VisGenerator: Generates, refines, executes, and filters visualization code.
- Infographer: Yields data-faithful stylized graphics using iterative generative models (IGMs).
LIDA can be used to generate a variety of visualizations, including bar charts, line charts, pie charts, scatter plots, and histograms. LIDA can also be used to generate more complex visualizations, such as infographics and data stories.
LIDA is still under development, but it has the potential to be a powerful tool for data visualization and communication. It is particularly useful for people who want to generate visualizations quickly and easily, without having to learn complex programming languages or visualization libraries.
Here are some of the benefits of using LIDA:
- Increased efficiency: LIDA can help users to generate visualizations quickly and easily, without having to learn complex programming languages or visualization libraries.
- Improved visualization quality: LIDA uses LLMs to generate high-quality visualizations that are relevant, informative, and engaging.
- Reduced learning curve: LIDA is easy to use, even for beginners. This can help users to reduce the amount of time it takes to learn how to create effective visualizations.
Overall, LIDA is a promising new tool for data visualization and communication. It is particularly useful for people who want to generate visualizations quickly and easily, without having to learn complex programming languages or visualization libraries.
