Statistical Analysis Skill

What problem does it solve?

This Skill automates the process of performing comprehensive statistical analyses on datasets, enabling users to derive meaningful insights and make data-driven decisions without manual calculation.

Core Features & Use Cases

• Descriptive Statistics: Generates key metrics like mean, median, mode, standard deviation, and quartiles.
• Correlation Analysis: Calculates correlation matrices and specific correlation coefficients with p-values, visualizing relationships with heatmaps.
• Hypothesis Testing: Performs t-tests, chi-square tests, and ANOVA to test statistical significance between groups.
• Regression Analysis: Builds linear regression models to predict outcomes and evaluate model performance with R-squared and RMSE.
• Distribution Analysis: Assesses data normality using tests like Shapiro-Wilk and visualizes distributions with Q-Q plots.
• Use Case: Analyze customer survey data to understand demographic distributions, identify correlations between satisfaction scores and purchasing behavior, and test hypotheses about the effectiveness of different marketing campaigns.

Quick Start

Use the statistical analysis skill to perform descriptive statistics on the 'sales_data.csv' file.