Data Wrangling Vs Data Cleaning
Data Cleaning Data Wrangling Definition: Data cleaning specifically focuses on identifying and correcting errors or inaccuracies in the dataset.Tasks: Involves handling missing values, correcting typos, standardizing formats, and removing duplicates to ensure data accuracy.Goal: Improve data quality by eliminating errors, inconsistencies, or outliers that could impact the validity of analysis or machine learning models.Methods: Encompasses …