What is Data Wrangling in Data Science?

Ravendracroma23 Jun, 2025Education

Data wrangling is the process of cleaning, organizing, and transforming raw information into a usable format. It involves handling missing values, correcting inconsistencies, and structuring datasets to prepare them for analysis, ensuring accuracy and efficiency in generating insights for better decision-making.