hw04.pdf - hw04_master October 3, 2019 1 Homework 4:...

hw04_master
October 3, 2019
1 Homework 4: Functions, Histograms, and Groups
Reading :
• Visualizing Numerical Distributions
• Functions and Tables
Please complete this notebook by filling in the cells provided. Before you begin, execute the
following cell to load the provided tests. Each time you start your server, you will need to execute
this cell again to load the tests.
Homework 4 is due Thursday, 9/26 at 11:59pm. Start early so that you can come to office hours if
you’re stuck. Check the website for the office hours schedule. You will receive an early submission
bonus point if you turn in your final submission by Wednesday, 9/25 at 11:59pm. Late work will
not be accepted as per the policies of this course.
Throughout this homework and all future ones, please be sure to not re-assign variables throughout
the notebook! For example, if you use max_temperature in your answer to one question, do not
reassign it later on. Moreover, please be sure to only put your written answers in the provided
cells.
[ ]: # Don't change this cell; just run it.
import numpy as np
from datascience import *
# These lines do some fancy plotting magic.\n",
import matplotlib
% matplotlib inline
import matplotlib.pyplot as plt
plt . style . use( 'fivethirtyeight' )
from client.api.notebook import Notebook
ok = Notebook( 'hw04.ok' )
Before continuing the assignment, select ”Save and Checkpoint” in the File menu and then execute
the submit cell below. The result will contain a link that you can use to check that your assignment
has been submitted successfully. If you submit more than once before the deadline, we will only
grade your final submission. If you mistakenly submit the wrong one, you can head to okpy.org
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and flag the correct version. There will be another submit cell at the end of the assignment when
you finish!
[ ]: _ = ok . submit()
1.1 1. Causes of Death by Year
This exercise is designed to give you practice using the Table method pivot . Here is a link to the
Python reference page in case you need a quick refresher.
Run the cell below to view a demo on how you can use pivot on a table.
[4]: from IPython.display import YouTubeVideo
YouTubeVideo( "4WzXo8eKLAg" )
[4]:
We'll be looking at a dataset from the California Department of Public Health
that records the cause of death, as recorded on a death certificate, for
everyone who died in California from 1999 to 2013. The data is in the file
causes_of_death.csv.zip. Each row records the number of deaths by a specific
cause in one year in one ZIP code.
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