Question 1 (1 point)

Listen

We discussed three problems you can encounter with visualizations: aesthetic, substantive and ______?

Question 1 options:

	perceptual
	usability
	overreliance on visuals
	oversimplification

Question 2 (1 point)

Saved

Listen

Basic descriptive statistics and visualizations should not be thought of as complimentary as they have nothing to do with each other.

Question 2 options:

	True
	False

Question 3 (1 point)

Saved

Listen

By convention, the code we use to import Matplotlib is as follows:

import matplotlib as ___

Question 3 options:

Question 4 (1 point)

Listen

To run scripts from a notebook,

Question 4 options:

	None of these
	%matplotlib inline
	%matplotlib
	%run

Question 5 (1 point)

Listen

What method provides summary statistics for all numerical variables.

Question 5 options:

	".describe"
	".info"
	".head"
	".stats"

Question 6 (1 point)

Listen

Matplotlib has two interfaces, with one being based off of its connection to MATLAB, and the other off of Python's object-oriented approach

Question 6 options:

	True
	False

Question 7 (1 point)

Listen

The MATLAB style interface creates an object

Question 7 options:

	True
	False

Question 8 (1 point)

Listen

Which magic command would you run for interactive plots?

Question 8 options:

	%matplotlib notebook
	%matplotlib inline

Question 9 (1 point)

Listen

Complete the blank to write code that would save the figure you've created:

___.savefig('my_figure.png')

Question 9 options:

Question 10 (1 point)

Listen

What code would you use to set matplotlib's style to a style that will replicate a style from FiveThirtyEight.com?

Question 10 options:

	plt.update.style('fivethirtyeight')
	plt.style('fivethirtyeight')
	plt.set.style('fivethirtyeight')
	plt.style.use('fivethirtyeight')

Question 11 (1 point)

Listen

To display our matplotlib plot, we use

Question 11 options:

	plt.display()
	plt.dsp()
	plt.show()
	plt.view()

Question 12 (1 point)

Listen

Which magic command would you run for static images?

Question 12 options:

	%matplotlib inline
	%matplotlib notebook

Question 13 (1 point)

Listen

Unlike using matplotlib in a script, when running code in a notebook, you do not have to use plt.show() to get the plot to show.

Question 13 options:

	True
	False

Question 14 (1 point)

Listen

What code would you use to change the tickmarks for the x axis?

Question 14 options:

	plt.ticks.x([2,4,6])
	plt.x_ticks([2,4,6])]
	plt.set_xtick([2,4,6])
	plt.xticks([2,4,6])

Question 15 (1 point)

Listen

Complete the code to change the x axis limits:

plt.____(0,5)

Question 15 options:

Question 16 (1 point)

Listen

You have `x` and `y` variables created and want to plot them on a line plot. Complete the code below:

ax.____(x, y)

Question 16 options:

Question 17 (1 point)

Listen

What code would you use to create a title for your plot?

Question 17 options:

	ax.create_title('My Figure')
	ax.set_title('My Figure')
	ax.title('My Figure')

Question 18 (1 point)

Listen

Complete the blank to finish the code to turn off the grid for a plot:

plt.____(False)

Question 18 options:

Question 19 (1 point)

Listen

What argument would you use to change the size of a figure?

Question 19 options:

	set_size()
	You can't change the size. It is based on the size of your screen.
	figsize()
	size()

Question 20 (1 point)

Listen

To create a pie chart in Matplotlib, you must first calculate value counts of columns.

Question 20 options:

	True
	False

Question 21 (1 point)

Saved

Listen

What method is used to sort the index?

Question 21 options:

	rearrange_index()
	sort()
	sort_index()
	sorted()

Question 22 (1 point)

Listen

Question 22 options:

To create a scatterplot with height on the x-axis, and weight on the y-axis, how would you complete the following?

Question 23 (1 point)

Listen

What is missing to complete a Matplotlib scatterplot?

Question 23 options:

Question 24 (1 point)

Saved

Listen

Question 24 options:

By convention, we import matplotlib pyplot as

Question 25 (1 point)

Saved

Listen

The `alpha` argument for the scatter plot instructs matplotlib how transparent or opaque you want your points to be.

Question 25 options:

	True
	False