Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Matplotlib Exercise

This video tutorial guides students through an exercise to generate and plot a generalized XOR data set. It begins with an introduction to the XOR logic gate, explaining its truth table and how it differs from a regular OR operation. The tutorial then instructs students on how to create a scatter plot of the XOR data, emphasizing the use of four quadrants with different colors. The exercise challenges students to define these quadrants between -1 and 1, rather than 0 and 1.

What is the primary function of the XOR logic gate?

• It outputs true only when both inputs are true.

• It outputs true when either input is true.

• It outputs true only when both inputs are false.

• It outputs true only when one input is true and the other is false.

How does the XOR operation differ from the regular OR operation?

• XOR outputs true when both inputs are true, unlike OR.

• XOR outputs false when both inputs are true, unlike OR.

• XOR outputs true when both inputs are false, unlike OR.

• XOR outputs true when either input is true, unlike OR.

In the XOR truth table, what is the output when both inputs are 1?

• 0

• 2

• 1

• Undefined

When generating the Generalized XOR data set, how are the quadrants defined?

• Between 0 and 1

• Between -1 and 1

• Between -2 and 2

• Between 0 and 2

What is the visual representation of the Generalized XOR data set?

• Randomly scattered points in four quadrants

• Four dots

• A single line

• A circle