Techniques for Cleaning and Preparing Data Before Analysis

Ravendracroma28 Oct, 2025Education

Data cleaning and preparation involve handling missing values, removing duplicates, correcting errors, and standardizing formats. It includes techniques like normalization, outlier detection, data transformation, and encoding categorical variables. These steps ensure data accuracy, consistency, and reliability, enabling effective analysis and better decision-making based on high-quality, well-structured datasets.