ydata-profiling
About
ydata-profiling generates automated exploratory data analysis (EDA) reports from pandas DataFrames, providing comprehensive data quality insights. It analyzes variable types, detects missing values and duplicates, and calculates correlations, outputting the results as an interactive HTML report. Use this skill for quick, automated data profiling and quality assessment at the start of any data analysis workflow.
Quick Install
Claude Code
Recommendednpx skills add vamseeachanta/workspace-hub -a claude-code/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/ydata-profilingCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the ydata-profiling skill?
ydata-profiling is a Claude Skill by vamseeachanta. Skills package instructions and resources that Claude loads on demand, so Claude can perform ydata-profiling-related tasks without extra prompting.
How do I install ydata-profiling?
Use the install commands on this page: add ydata-profiling to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does ydata-profiling belong to?
ydata-profiling is in the data-analysis category, tagged ydata-profiling, pandas-profiling, data-quality, eda, profiling and missing-values.
Is ydata-profiling free to use?
Yes. ydata-profiling is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
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 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.
