Demonstration of PI2: Interactive Visualization Interface Generation for SQL Analysis in Notebook

DashQL——使用 SQL 完成完整分析工作流

DashQL -- Complete Analysis Workflows with SQL

本文提出 SQL 扩展语言 DashQL，用自包含脚本统一描述数据处理与可视化，并通过元数据驱动的整体优化实现高效交互式分析工作流。

Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows

Exploratory data science largely happens in computational notebooks with dataframe APIs, such as pandas, that support flexible means to transform, clean, and analyze data. Yet, visually exploring data in dataframes remains tedious, requiring substantial programming effort for visualization and mental effort to determine what analysis to perform next. We propose Lux, an always-on framework for accelerating visual insight discovery in dataframe workflows. When users print a dataframe in their notebooks, Lux recommends visualizations to provide a quick overview of the patterns and trends and sugg…

A Static Analysis Framework for Data Science Notebooks

Notebooks provide an interactive environment for programmers to develop code, analyse data and inject interleaved visualizations in a single environment. Despite their flexibility, a major pitfall that data scientists encounter is unexpected behaviour caused by the unique out-of-order execution model of notebooks. As a result, data scientists face various challenges ranging from notebook correctness, reproducibility and cleaning. In this paper, we propose a framework that performs static analysis on notebooks, incorporating their unique execution semantics. Our framework is general in the sens…

VizGen：通过多智能体AI架构实现自然语言驱动的数据探索与可视化

VizGen: Data Exploration and Visualization from Natural Language via a Multi-Agent AI Architecture

本文提出VizGen多智能体系统，利用NLP与LLM将自然语言转换为SQL并推荐、生成和迭代优化可视化，同时挖掘数据洞察。

Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization

We present Mirror, an open-source platform for data exploration and analysis powered by large language models. Mirror offers an intuitive natural language interface for querying databases, and automatically generates executable SQL commands to retrieve relevant data and summarize it in natural language. In addition, users can preview and manually edit the generated SQL commands to ensure the accuracy of their queries. Mirror also generates visualizations to facilitate understanding of the data. Designed with flexibility and human input in mind, Mirror is suitable for both experienced data anal…

通过大语言模型实现自动化跨领域探索性数据分析

Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models

本文提出TiInsight系统，通过HDC和四阶段流程增强LLM的跨领域EDA、文本到SQL及可视化能力，并在Spider与Bird基准上验证其优异性能。