LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Larg...
Informations
- Type:
- misc
- Auteurs:
- Victor Dibia
- Pertinence:
-
Haute
- Référence:
- dibia2023lida
- Doi:
- Mots-clés:
- Url:
- https://arxiv.org/abs/2303.02927
- Date de publication:
- 03/2023
- Résumé:
-
Génération de visualisation automatisé
LIDA provides a python api, and a hybrid USER INTERFACE (direct manipulationand multilingual natural language) for interactive chart, infographics and data story generation. - Abstract:
- Systems that support users in the automatic creation of visualizations must address several subtasks - understand the semantics of data, enumerate relevant visualization goals and generate visualization specifications. In this work, we pose visualization generation as a multi-stage generation problem and argue that well-orchestrated pipelines based on large language models (LLMs) such as ChatGPT/GPT-4 and image generation models (IGMs) are suitable to addressing these tasks. We present LIDA, a novel tool for generating grammar-agnostic visualizations and infographics. LIDA comprises of 4 modules - A SUMMARIZER that converts data into a rich but compact natural language summary, a GOAL EXPLORER that enumerates visualization goals given the data, a VISGENERATOR that generates, refines, executes and filters visualization code and an INFOGRAPHER module that yields data-faithful stylized graphics using IGMs. LIDA provides a python api, and a hybrid user interface (direct manipulation and multilingual natural language) for interactive chart, infographics and data story generation. Learn more about the project here - this https URL
- Pdf:
- Lien pdf
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