Analyze CSV files, DataFrames, or database tables through a 5-phase workflow.
npx skills add https://github.com/saajunaid/junai --skill data-analysis-saajunaid
Please help me install this Agent Skill. Skill: data-analysis Source: https://github.com/saajunaid/junai/tree/main/.github/skills/data/data-analysis Command: npx skills add https://github.com/saajunaid/junai --skill data-analysis-saajunaid
Analyze datasets to extract insights, identify patterns, and create visualizations.
Analyze the provided dataset to generate an initial data discovery report.
High-intent search queries and answers about installing and using this skill.
To analyze a CSV dataset, you can use a 5-phase workflow covering discovery, exploration, deep analysis, insight generation, and reporting. This extracts insights, identifies patterns, and generates visualizations.
Exploratory analysis is the process of investigating datasets to summarize their main characteristics, often using visual methods. You need it to discover patterns, assess data quality, and perform segmentation before deep analysis.
The best way to assess data quality and discover trends is applying a systematic 5-phase data workflow. It handles pattern discovery, trend analysis, and segmentation to generate actionable insights for business contexts.
You generate shareable reports by running datasets through the insight generation and reporting phases. This process creates visualizations and actionable recommendations suitable for both business and research contexts.
h4vzzClean raw datasets into analysis-ready tables using pandas, pyjanitor, and great_expectations.
sellersessionsGenerate standalone HTML dashboards from CSV, Excel, JSON, or TSV files.
juliochwdGuide academic research through a structured 5-phase workflow with statistical analysis and LaTeX formatting.
CompSci-SquadPerform advanced analytics, predictive modeling, and statistical modeling for data science tasks.
