In the the last lesson we actually computed the histogram, meaning we looped through all 2000 data points and saw how many times each would fall into a given bin.

In this lesson, let's plot the histogram so we can get a good visual look at the distribution of the numbers in the data set.

In this lesson, let's plot the histogram so we can get a good visual look at the distribution of the numbers in the data set.

Type your code here:

See your results here:

In part 6, we make up an x-axis for our plot, which is the average of a given bin's boundaries. The actual plot will appear below this text-box.

What do you see? Does each number in the data set appear equally often any other? (No.) Is one data point dominant over the rest (No.) You get a bell shaped in the distribution of numbers! (This is also called a "normal" of "Gaussian" distribution.)

Do you see how stopping your analysis at the max, min, and average is a bit premature?

What do you see? Does each number in the data set appear equally often any other? (No.) Is one data point dominant over the rest (No.) You get a bell shaped in the distribution of numbers! (This is also called a "normal" of "Gaussian" distribution.)

Do you see how stopping your analysis at the max, min, and average is a bit premature?