Data Integrity: Ensuring Accuracy and Consistency

Learning Objectives Define data integrity, accuracy, and consistency. Identify examples of inaccurate and inconsistent data in a simple dataset. Explain why data integrity is important using real-world examples. Apply a data type check to validate information. Use a range check to find data that is not valid. Correct simple data errors to improve accuracy and consistency. Ever entered a cheat code in a game and it didn't work because of a typo? 👾 That's a data integrity problem! In this lesson, we'll become data detectives! We will learn about 'data integrity,' which is a fancy way of saying we'll make sure our information is correct, complete, and makes sense. This is super important for making sure our computer programs work the way they are...

TermDefinitionExample Data IntegrityThe overall accuracy, completeness, and consistency of data. It's like making sure the information in our digital library is trustworthy and reliable.A school's student list has data integrity if every student has a unique ID, a correctly spelled name, and a valid grade level. AccuracyHow correct the data is. It means the information matches what is true in the real world.If your birthday is on June 10th, accurate data would store it as 'June 10'. Inaccurate data would be 'June 12'. ConsistencyMaking sure data is stored in the same way everywhere. It follows the same format and rules.A consistent list of dates would be '01/25/2024', '02/14/2024', '03/30/2024'. An inconsistent list would be &#03...

Data Type Check Check if `data` is the correct type (e.g., a number, text). Use this rule when you expect all data in a list to be the same type. For example, a list of ages should only contain numbers, not text like 'twelve'. Range Check Check if `number` is between a `min` and a `max` value. Use this rule when numbers must fall within a certain boundary. For example, a grade percentage must be between 0 and 100. Format Check Check if `text` follows a specific pattern (e.g., 'MM/DD/YYYY'). Use this rule to ensure consistency in data like dates, phone numbers, or postal codes. It makes the data easier for a computer to read.