bsee-sodir-extraction

AutoViz automates exploratory data analysis with a single line of code, generating comprehensive visualizations and detecting patterns like correlations and outliers. It automatically selects chart types, handles both categorical and numerical features, and can export reports to HTML or Jupyter notebooks. Use this skill for rapid, automated EDA to understand your dataset's structure and key insights before deeper analysis.

This skill enables developers to build production-ready, interactive web dashboards using Plotly Dash, featuring reactive callbacks, enterprise components, and scalable deployment. It's ideal for creating multi-page data applications with professional layouts and integrated visualizations. Use it when you need to move beyond prototypes to deployable, enterprise-grade dashboard solutions.

This skill provides the core HTML layout components for building Dash application interfaces, including text elements, lists, tables, and media elements. Use it when you need to structure and display static content in your Dash apps without interactive callbacks. It covers essential components like headers, paragraphs, links, images, and basic formatting elements.

This skill generates comprehensive data quality reports from pandas DataFrames using ydata-profiling. It creates interactive HTML reports with statistical summaries, visualizations, and data quality assessments. Developers should use it for initial exploratory data analysis to quickly understand dataset structure, distributions, and potential issues.