To get frequencies of continuous data, we count the number of times each value occurs.

“Violet” is a:

Given the function is_prime: write a function called primes that takes a DataFrame and returns a list of all of the primes in it.

This is continuous data.

Given a CSV that looks like this: write a function called get_death_frame that returns a DataFrame that looks like this (this only the first 5 rows, there are more): The read_csv documentation may be handy: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html  

iloc is:

Given this additional table: Which of the following queries will get us all of the names of albums by Montrose?

Translate 0b10011000 into decimal.

To get frequencies of discrete data, we count the number of times each value occurs.

When we do simple linear regression on a dataset, we are: