dash-common-issues

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 extracts and processes offshore energy data from the BSEE (Gulf of Mexico) and SODIR (Norway) regulatory databases. Use it to programmatically access production metrics, well information, field data, and HSE records for analysis. It supports tasks like economic modeling, compliance tracking, and comprehensive energy data aggregation.

This skill provides Streamlit layout components for organizing dashboard interfaces. It covers creating multi-column layouts with adjustable ratios and implementing sidebar navigation with interactive widgets. Use it when you need to structure complex Streamlit applications with clear visual organization.

This skill provides best practices for using ydata-profiling with large datasets, focusing on performance optimization. It recommends using minimal mode to reduce computation time and suggests sampling for initial exploration. The skill also shows how to customize correlation calculations to disable unnecessary computations.