The video tutorial addresses a bug in a medical company's data where a property meant to indicate fever status is mistakenly labeled as 'shoes'. The exercise involves writing a function to correct this by removing the 'shoes' property and replacing it with 'fever'. The tutorial emphasizes the importance of accurate data for medical professionals and provides step-by-step instructions for the task. The session concludes with a prompt to share solutions and a preview of the next lesson.

What is the main issue with the medical company's data?

• The 'fever' property is missing.

• The 'shoes' property is incorrectly used instead of 'fever'.

• The data is not stored in an object.

• The data includes incorrect patient names.

Which properties are included in the medical data?

• Prescriptions, weight, height, and shoes

• Prescriptions, weight, height, and temperature

• Prescriptions, weight, height, and blood pressure

• Prescriptions, weight, height, and heart rate

Why is it important to fix the 'shoes' property issue?

• It causes the system to crash.

• It distracts doctors from their work.

• It results in data loss.

• It leads to incorrect patient prescriptions.

What should be done to correct the data bug?

• Add a new property called 'blood pressure'.

• Delete the 'shoes' property and add 'fever'.

• Replace 'shoes' with 'temperature'.

• Add a new property called 'temperature'.

What is the purpose of the 'cleanup' function?

• To check and remove the 'shoes' property.

• To calculate patient BMI.

• To update patient prescriptions.

• To add new properties to the data.