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2 रिपॉजिटरी

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

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • man-group/dtaleman-group का अवतार

    man-group/dtale

    5,170GitHub पर देखें↗

    dtale is a web-based interactive grid and visualizer for pandas dataframes, designed as an exploratory data analysis tool. It provides a browser-based interface for analyzing tabular data structures, allowing users to calculate statistics, detect outliers, and compute correlations without writing manual code. The project functions as an embedded data viewer that can be integrated into web applications via iframes or custom routes, with specific support for Django, Flask, and Streamlit. It enables the exploration of datasets through a combination of an interactive data grid and a data visualiz

    Implements a point-and-click interface for filtering, reshaping, and removing duplicate entries from dataframes.

    TypeScriptdata-analysisdata-sciencedata-visualization
    GitHub पर देखें↗5,170
  • observedobserver/visual-insightsObservedObserver का अवतार

    ObservedObserver/visual-insights

    4,653GitHub पर देखें↗

    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
    GitHub पर देखें↗4,653
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