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Comprehensive analyse exploratoire Tools for Every Need

Get access to analyse exploratoire solutions that address multiple requirements. One-stop resources for streamlined workflows.

analyse exploratoire

  • GPT Auto Data Analytics

    AI-driven toolkit automating data quality checks, anomaly detection, and exploratory data analysis using GPT models.
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    What is GPT Auto Data Analytics?
    GPT Auto Data Analytics empowers data professionals by leveraging GPT models to automatically inspect any CSV dataset. It performs data quality assessments, identifies anomalies, generates data dictionaries, computes descriptive statistics and correlations, and produces visual charts. It then creates narrative insights and recommendations. Available as a CLI tool and Python SDK, it integrates seamlessly into Jupyter notebooks or pipelines, accelerating data understanding and decision support without manual scripting.
    GPT Auto Data Analytics Core Features
    • Automated exploratory data analysis
    • Data quality and anomaly detection
    • Data dictionary generation
    • Descriptive statistics and correlation analysis
    • Chart and visualization creation
    • Narrative insight and recommendation summaries
    • CLI tool and Python SDK
    GPT Auto Data Analytics Pro & Cons

    The Cons

    Requires local environment setup and some technical knowledge.
    No explicit pricing, which might imply it is free but potentially unsupported.
    Limited user interface beyond code and notebook interactions.

    The Pros

    Runs data analysis locally without online limitations.
    Collaborative intelligence with multiple AI agents for more refined analysis.
    Vision capabilities to interpret data visualizations.
    Supports full access to local datasets and Python libraries.
    Generates organized and versatile exportable reports.

  • AI Data Viz Agent

    AI Data Viz Agent transforms natural language queries into interactive data visualizations by generating chart code and rendering plots.
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    What is AI Data Viz Agent?
    The AI Data Viz Agent leverages large language models to interpret freeform textual instructions, and then orchestrates data processing and plotting libraries to generate code and render visualizations. Users can load datasets in CSV or JSON formats or pass pandas DataFrames directly. Once a dataset is provided, the agent can filter, group, and aggregate data based on prompts like “Show average sales by quarter for top products.” It supports multiple chart types including bar, line, scatter, pie, histogram, and heatmap, with customizable colors, labels, and annotations. The agent runs as a Python package, with optional CLI and API interfaces, enabling integration into notebooks, web services, or automated reporting pipelines.
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