clean-survey-data

What problem does it solve?

This Skill simplifies the process of cleaning survey data by handling missing values, recoding variables, and converting labels, reducing manual data preprocessing time.

Core Features & Use Cases

• Missing Value Handling: Automatically identify and replace special codes with NA for cleaner datasets.
• Variable Recoding: Transform coded categorical variables into meaningful factors and collapsed categories.
• Label Conversion: Convert Stata value labels into R factors, aiding interpretability in analysis.
• Use Case: Researchers cleaning large survey datasets with coded missing values and labels, preparing data for statistical modeling.

Quick Start

Load your dataset, handle missing codes, convert value labels, and recode variables using integrated functions for efficient survey data cleaning.