The csv_summarizer_lida project is a tool that uses Microsoft LIDA to automatically generate visualizations and infographics from CSV files.
The project: Clone the code into your editor.
Run the requirements.txt file to install the necessary dependencies.
Add your OPENAI_API_KEY to your env file.
Use Streamlit to run the application by typing "streamlit run appname.py" in the command line.
View the result in the browser.
LIDA provides a Python API and a hybrid user interface for interactive chart, infographics, and data story generation.|
Here are some key features of LIDA:
AutoViz: LIDA leverages the language modeling and code writing capabilities of state-of-the-art LLMs in enabling core automated visualization capabilities such as data summarization, goal exploration, visualization generation, infographics generation, and operations on existing visualizations such as visualization explanation, self-evaluation, automatic repair, and recommendation.
Data Summarization: LIDA summarizes data into a compact but information-dense natural language representation used as grounding context for all subsequent operations.
Automated Data Exploration: LIDA provides a fully automated mode that generates meaningful visualization goals based on the dataset. This feature is useful for users who are unfamiliar with a dataset.
Grammar-Agnostic Visualizations: LIDA provides methods to automatically improve visualizations via self-evaluation feedback or repair visualizations based on user-provided or compile feedback.
Visualization Recommendations: Given some context such as goals or an existing visualization, LIDA can recommend additional visualizations that may be useful to the user.
Overall, the csv_summarizer_lida project is a useful tool that can help users generate visualizations and infographics from CSV files using LIDA~