Welcome to the world of rules! In Turnkey, rules are like superheroes that keep our data clean and trustworthy. Let's dive into what rules are all about:
Why Rules Matter
In Turnkey, we've split traditional "tests" into two parts: datasets and rules. This separation helps us manage data more effectively and reliably.
Rules act as detectives, searching for anomalies or errors in our data. When they find something strange, they help us fix it, ensuring our data remains clean and reliable for important tasks like reporting and predictions.
Starting with Datasets
Before we can create rules, we need to have a dataset ready. Think of a dataset as a collection of data that we want to analyze. It sets the stage for our rules to do their job effectively.
Purpose of Rules:
- Rules help us find mistakes in our data. For example, if someone enters a wrong number or a strange date, rules can catch it.
- They make sure our data looks the way it's supposed to. If something looks odd, rules raise a flag so we can fix it.
Ensuring Data Integrity:
- Clean, accurate data is super important. It helps us make good decisions and predict things correctly.
- Rules are like guardians of our data. They watch out for any funny business and make sure our data stays trustworthy.
In a nutshell, rules are like friendly detectives that help us keep our data in tip-top shape. By catching mistakes early on, they make sure our data is clean and ready for whatever we need it for!
