microdf
OfficialAnalyze weighted survey data with ease.
AuthorPolicyEngine
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyzing survey microdata often requires handling weighted observations for accurate statistics, inequality metrics, and poverty calculations. MicroDF simplifies these complex operations, ensuring your analysis reflects the true population distribution.
Core Features & Use Cases
- Weighted Statistics: Calculate accurate means, medians, sums, and standard deviations for weighted data.
- Inequality Metrics: Easily compute Gini coefficients and top X% income shares.
- Poverty Analysis: Determine poverty rates, poverty gaps, and deep poverty rates.
- Use Case: Calculate the Gini coefficient and poverty rate for a simulated population of households, using their weighted income data to understand the distributional impact of a policy.
Quick Start
Use the microdf skill to calculate the weighted mean income and Gini coefficient from your df DataFrame with a weights column.
Dependency Matrix
Required Modules
microdf-pythonpandas
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: microdf Download link: https://github.com/PolicyEngine/policyengine-claude/archive/main.zip#microdf Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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