Run a statistics pipeline and EDA notebook to generate JSON/CSV reports and plots.
npx skills add https://github.com/Hohlas/SoSimple --skill create-eda-report
Please help me install this Agent Skill. Skill: create-eda-report Source: https://github.com/Hohlas/SoSimple/tree/main/.kilocode/skills/create-eda-report Command: npx skills add https://github.com/Hohlas/SoSimple --skill create-eda-report
This Skill eliminates the manual, repetitive work of running project-level exploratory data analysis by orchestrating statistics gathering and notebook execution to generate ready-to-use reports and visuals.
Initiate the full EDA workflow for your dataset by invoking the analyze trigger.
High-intent search queries and answers about installing and using this skill.
To automate exploratory data analysis, this Skill orchestrates a statistics pipeline and executes an EDA notebook to generate structured summaries, visualizations, and ready-to-use reports without manual intervention.
Automated EDA notebook execution produces JSON and CSV summaries such as statistics_summary.json, class_balance_report.csv, and feature_distributions.csv, alongside an executed notebook containing generated visual plots.
Yes, the workflow validates and executes a statistics.py step to collect key summaries and distributions before running the EDA notebook, ensuring project-level data analysis tasks have the required statistical foundation.
Yes, you can automatically generate class balance reports and feature distributions by triggering the workflow, which runs the statistics pipeline to produce these specific CSV outputs for your dataset.
The best way to run a statistics pipeline and EDA notebook together is to invoke the analyze trigger, which coordinates both steps to validate execution and produce structured summaries alongside visual reports.
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