{"enrichment":{"faq":[{"a":"Data Analysis handles the complete scientific data workflow: load CSV, Excel, or JSON files; identify and remove missing values, duplicates, and outliers; generate distributions and correlation heatmaps; run parametric or non-parametric tests; and fit OLS, logistic, or mixed-effects regression models. Results include effect sizes and confidence intervals ready for publication.","q":"What can Data Analysis do with my dataset?"},{"a":"Data Analysis provides tools to handle missing values, detect and remove duplicates and outliers, and assess data quality issues. The skill guides you through cleaning workflows and prepares your data for downstream analysis, ensuring statistical validity before testing or modeling.","q":"How do I clean my dataset with Data Analysis?"},{"a":"Yes. Data Analysis fits OLS, logistic, and mixed-effects regression models and reports results with effect sizes and confidence intervals. The skill handles model specification, diagnostics, and exports publication-ready summaries of your regression findings.","q":"Can Data Analysis run regression analysis on my data?"},{"a":"Data Analysis performs parametric tests (t-tests, ANOVA) and non-parametric alternatives (chi-square, Mann-Whitney U) depending on your data's characteristics. The skill selects appropriate tests, calculates effect sizes, and interprets results in context of your research question.","q":"What statistical tests does Data Analysis support?"},{"a":"Data Analysis generates distributions, correlation heatmaps, and summary statistics to reveal patterns in your data. It supports correlation studies and EDA workflows on CSV files and other formats, helping you understand relationships and structure before formal hypothesis testing.","q":"How does Data Analysis perform exploratory data analysis?"},{"a":"Data Analysis loads CSV, Excel, and JSON files. Once imported, the skill applies the full analysis pipeline\u2014cleaning, visualization, statistical testing, and modeling\u2014across all supported formats with consistent workflows.","q":"What file formats does Data Analysis accept?"}],"shadow_tags":["statistical-inference","data-wrangling","hypothesis-testing","predictive-modeling","data-visualization","quality-assurance","assumption-checking","effect-sizes"],"summary_rewrite":"Data Analysis handles the full workflow of scientific data exploration: load CSV, Excel, or JSON files; identify and remove missing values, duplicates, and outliers; generate distributions and correlation heatmaps; and run parametric or non-parametric tests depending on your data's characteristics. Fit OLS, logistic, or mixed-effects regression models and export publication-ready results with effect sizes and confidence intervals."},"files":[{"bytes":4411,"path":"skills/data-analysis/SKILL.md","sha256":"d00a6c202b8f4e9a6f5f481ad246b3c45d07bf9a739e40a0077c97114612ea5b","url":"https://skillfed.io/files/beita6969/ScienceClaw/data-analysis/1155853d/SKILL.md"}],"id":"beita6969/ScienceClaw/data-analysis","links":{"html":"https://skillfed.io/beita6969/ScienceClaw/data-analysis","md":"https://skillfed.io/beita6969/ScienceClaw/data-analysis.md","repo":"https://github.com/beita6969/ScienceClaw"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":101,"language":"TypeScript","last_updated":"2026-06-08","license":"MIT","name":"data-analysis","publisher":"beita6969","stars":869},"relations":{"similar":[{"id":"beita6969/ScienceClaw/statsmodels-stats"},{"id":"foryourhealth111-pixel/Vibe-Skills/statistical-analysis"},{"id":"personamanagmentlayer/pcl/data-science-expert"},{"id":"synthetic-sciences/openscience/statistical-analysis"},{"id":"zLanqing/codex-claude-academic-skills/statistical-analysis"},{"id":"LeonChaoX/qinyan-academic-skills/statistical-analysis"},{"id":"minicoohei/ai-agent-camp/statistical-analysis"},{"id":"beita6969/ScienceClaw/statistical-analysis"},{"id":"aj-geddes/useful-ai-prompts/exploratory-data-analysis"},{"id":"K-Dense-AI/scientific-agent-skills/statistical-analysis"}]},"slug":{"owner":"beita6969","repo":"ScienceClaw","skill":"data-analysis"},"version":"1155853d"}