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To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools but also efforts to manage the branching history consisting of many different versions of data and charts. Recent LLM-powered AI systems have greatly improved visualization authoring experiences, for example by mitigating manual data transformation barriers via LLMs' code generation ability. However, these systems do not work well for iterative visualization authoring, because they often require analysts to provide, in a single turn, a text-only prompt that fully describes the complex visualization task to be performed, which is unrealistic to both users and models in many cases. In this paper, we present Data Formulator 2, an LLM-powered visualization system to address these challenges.
Features
- Data Formulator is an application from Microsoft Research
- Uses large language models to transform data, expediting the practice of data visualization
- Documentation available
- Examples available
- Data Formulator is an AI-powered tool for analysts to iteratively create rich visualizations
- Data Formulator combines user interface interactions (UI) and natural language (NL) inputs for easier interaction
Project Samples
