What Makes Manually Cleaning Data Challenging?
Manually cleaning data is challenging because it is time-consuming, prone to human error, and difficult to scale as data volume increases. While it may work for small datasets, manual data cleaning becomes inefficient and unreliable for large or complex data. Data cleaning involves fixing errors in raw data, such as removing duplicates, handling missing values, […]
