data-stats-analysis
Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Security Assessment
About data-stats-analysis
The 'data-stats-analysis' skill provides a powerful suite of statistical analysis tools to perform tests and evaluations on datasets. It leverages widely used Python libraries such as scipy, statsmodels, and numpy to carry out statistical procedures including t-tests, ANOVA, hypothesis testing, correlation analysis, and multiple testing corrections. Unlike cloud-based solutions, this skill operates entirely within your local environment, offering enhanced flexibility and privacy. It works seamlessly with all large language model (LLM) providers such as GPT, Gemini, Claude, DeepSeek, and Qwen, allowing you to conduct comprehensive data analysis with minimal setup.
FAQ
How do I perform a t-test using this skill?
You can perform a two-sample t-test by using the `ttest_ind()` function from scipy. The skill compares the means of two groups and returns the t-statistic and p-value. Additionally, you can check for equal variances using Levene's test and adjust for unequal variances with Welch's t-test.
What statistical tests can I run with this skill?
This skill supports various statistical tests including two-sample t-tests, one-way ANOVA, Pearson and Spearman correlation, hypothesis testing, and non-parametric tests like the Mann-Whitney and Kruskal-Wallis tests. You can also apply multiple testing corrections like Bonferroni and FDR.
Can this skill be used with any LLM provider?
Yes, the skill is compatible with any LLM provider such as GPT, Gemini, Claude, DeepSeek, and Qwen. It integrates seamlessly with these providers, enabling statistical analysis locally in your environment.
Do I need to install additional libraries?
Yes, you need to install standard Python libraries including scipy, statsmodels, and numpy. The skill also imports pandas for data manipulation and includes some specific functions for statistical tests.
What are the limitations of this skill?
The skill requires basic Python setup and understanding of statistical tests. It does not include advanced machine learning functionalities or cloud-based analytics, and thus, is suited for smaller, localized data analysis tasks.
Install data-stats-analysis
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
Starlitnightly/omicverse