From the course: Data Cleaning in Python Essential Training
Types of errors - Python Tutorial
From the course: Data Cleaning in Python Essential Training
Types of errors
- [Instructor] You will have errors in your data. We'll discuss the cause for these errors in another video, but for now, let's have a look at some of the common errors. One of the most common errors is missing values. For example, if you have our shopping cart data, when you look closely, you can see that on the third line, the amount is missing. Another type of errors are bad values. For example, in this shopping cart data, you can see that $217 for three pounds of carrot is a bit extreme. And the last type I'm going to mention is duplicated data. If you look at this data, you will see that line number three and number five are duplicated. These three kinds of errors are the ones I find most in data sets, and we'll cover how to detect and how to fix them.
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