process of cleaning, transforming, and preparing raw data for analysis. It involves tasks such as removing irrelevant or duplicate data, handling missing values, correcting data inconsistencies, and reformatting
... [مشاهده متن کامل] data to meet specific requirements. Data wrangling is an important step in the data analysis pipeline as it ensures that the data is in a usable and reliable format for further analysis or modeling.