Data Normalization in Excel: Splitting a Flat File into Multiple Tables for Analysis

This video demonstrates the process of data normalization by splitting a large flat file into multiple, more manageable tables. Then, it shows how to link those tables together for analysis. We'll start by importing a sample dataset from a text file into Excel and then analyze the data to identify redundant information and potential relationships between different data elements. Next, you'll learn how to create separate tables for different entities (e.g., employees, department, employee hire and end dates) and add unique identifiers (primary and foreign keys) to establish relationships between them. Finally, we'll use powerful Excel functions like VLOOKUP and COUNTIF to link the tables together and perform insightful analysis, such as: Calculating total number of employees in each department Preparing a list of employees by department This exercise provides a practical introduction to data normalization and its importance in improving data quality, reducing redundancy, and enabling more efficient data analysis. Why this video is a great learning tool: Hands-on: Learn by doing with a real-world example. Practical: Develop essential skills for data cleaning and preparation. Foundation: Understand the principles of database design. Excel-based: Utilize a widely used and accessible tool. Engaging: Step-by-step guidance makes the learning process easier. This video is perfect for students and anyone interested in improving their data analysis skills.