Data Cleaning Hacks Every Analyst Should Know
Data analysts play a critical role in transforming raw data into meaningful insights that drive business decisions. However, the accuracy and reliability of analysis heavily depend on the quality of the data being used. Poorly cleaned data can lead to misleading insights, costly errors, and inefficient reporting. Understanding effective data cleaning techniques is essential for any analyst aiming to maintain high standards in data processing and analysis.