Joining datasets

In data analysis projects, it is common to encounter data that is spread across multiple sources or datasets. Each dataset may contain different pieces of information related to a common entity or subject. Data merging, also known as data joining or data concatenation, is the process of combining these separate datasets into a single cohesive dataset. In data analysis projects, it’s common to encounter situations where information about a particular subject or entity is spread across multiple datasets. For instance, imagine you’re analyzing customer data for a retail business. You might have one dataset containing customer demographics, such as names, ages, and addresses, and another dataset with their purchase history, such as transaction dates, items bought, and total spending. Each of these datasets provides valuable insights but, individually, they don’t give a complete picture of customer behavior. To gain a comprehensive understanding, you...