Definition
Wrangling refers to the process of cleaning, transforming, and organizing raw data into a usable format for analysis or decision making. It involves identifying and correcting errors, handling missing values, and structuring disparate information sources so they can be effectively processed. This meticulous preparation is crucial for ensuring the accuracy and reliability of subsequent insights and actions. For instance, a data analyst might wrangle customer feedback from various channels like surveys, social media, and support tickets into a single, consistent dataset for sentiment analysis. Unlike simple data entry, wrangling often requires a deeper understanding of the data's context and potential biases. This concept is frequently encountered in domains related to data science, business intelligence, and IT operations, appearing in certifications like those focused on data analytics or cloud platforms.