Introduction to Data Visualization

Matplotlib was created by:

• 
  

  Cleve Moler, an American mathematician and computer programmer.

• John Hunter, an American neurobiologist.

• Daniel Johnson, a German physicist.

• 
  

  James Gosling, a Canadian computer scientist.

Question 2

True or False. Jupyter Notebook is an open-source web application that allows you to create and share documents.

• True

• False

What is the code for the Matplotlib magic function?

• %matplotlib

• ‘%matplotlib’

• 
  

  (%matplotlib)

• 
  

  {%matplotlib}

Question 4

Fill in the blank. A line plot is a series of _____ points connected by straight line segments.

• 
  

  Matplotlib

• 
  

  Data

• 
  

  Connection

• Plotly

What is the most widely used data visualization library in Python?

• 
  

  Jupyter Notebook

• Plotly

• Pyplot

• Matplotlib

Using the inline backend, at what point can you not modify a figure?

• 
  

  After it is rendered

• After it is created

• 
  

  After it is coded

• 
  

  Before it is rendered

Which two of the following are examples of Matplotlib magic functions?

• 
  

  %matplotlib notebook

• $matplotlib outline

• 
  

  #matplotlib inline

• 
  

  %matplotlib inline

What is a line plot?

• 
  

  It is a plot that displays information as a series of data points connected by straight lines

• A plot that displays line fragments at different data points

• 
  

  A line plot displays information through bars on a chart

• 
  

  A line plot is used to display information on pie charts

Complete the following. Matplotlib’s three main layers are:

• Line2D, Rectangle, Circle

  
  

• Artist, Scripting, Histogram

• Backend, Artist, Scripting

  
  

• FigureCanvas, Renderer, Event

What is Jupyter Notebook?

• A well-established data visualization library that can be integrated into different environments

• 
  

  A Python library with a number of different backends available

• An open-source web application that allows you to create and share documents that contain live code, visualizations, and some explanatory text as well

  
  

• It is a tool used for creating conventional visualization tools using the plot function