2 个仓库
Awesome GitHub RepositoriesVisual Data Cleaning
Point-and-click interfaces for performing data cleaning tasks like removing duplicates and filtering.
Distinct from Tabular Data Management Interfaces: Distinct from Tabular Data Management Interfaces by focusing specifically on cleaning and reshaping operations rather than general import/export.
Explore 2 awesome GitHub repositories matching data & databases · Visual Data Cleaning. Refine with filters or upvote what's useful.
Awesome Visual Data Cleaning GitHub Repositories
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- man-group/dtale
man-group/dtale
5,170在 GitHub 上查看dtale 是一个基于 Web 的 pandas 数据框交互式网格与可视化工具，设计为探索性数据分析工具。它提供了一个基于浏览器的界面用于分析表格数据结构，允许用户在无需编写手动代码的情况下计算统计数据、检测异常值并计算相关性。 该项目作为嵌入式数据查看器运行，可通过 iframe 或自定义路由集成到 Web 应用中，并对 Django、Flask 与 Streamlit 提供特定支持。它通过交互式数据网格与能够生成直方图、箱线图与 3D 散点图的数据可视化库的组合，实现了对数据集的探索。 该平台涵盖了广泛的数据管理与分析能力，包括表格数据清理、重塑与交互式过滤。它包括用于缺失数据分析、相关性计算与预测能力评分的观测工具。对于会话管理，它支持多实例追踪与跨并发工作进程的状态持久化。 该界面受用户名与密码认证保护，并支持从分隔文件、电子表格与 ArcticDB 数据存储中进行数据摄入。
Implements a point-and-click interface for filtering, reshaping, and removing duplicate entries from dataframes.
TypeScriptdata-analysisdata-sciencedata-visualization - observedobserver/visual-insights
ObservedObserver/visual-insights
4,653在 GitHub 上查看Visual Insights is an automated exploratory data analysis platform and causal inference tool designed to discover patterns and cause-and-effect relationships within datasets. It functions as an interactive data visualization library using a grammar-of-graphics approach to generate multi-dimensional charts and dashboards. The project distinguishes itself through a natural language interface that translates plain-text questions into data answers and visualizations via a language model. It provides a specialized framework for causal discovery and inference, allowing users to identify variable li
Provides a point-and-click interface for removing anomalies and refining dataset quality through direct interaction with visual representations.
TypeScript
