hw03_student_solutions.pdf - hw03_master Homework 3 Table Manipulation and Visualization Reading

hw03_student_solutions.pdf - hw03_master Homework 3 Table...

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9/27/2019 hw03_master (1).html 1/16 Homework 3: Table Manipulation and Visualization Reading : Visualization () 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 3 is due Thursday, 9/19 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, 9/18 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. In [ ]: # 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 plots plots . style . use( 'fivethirtyeight' ) from client.api.notebook import Notebook ok = Notebook( 'hw03.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 and flag the correct version. There will be another submit cell at the end of the assignment when you finish! In [ ]: _ = ok . submit()
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9/27/2019 hw03_master (1).html 2/16 1. Unemployment The Federal Reserve Bank of St. Louis publishes data about jobs in the US. Below, we've loaded data on unemployment in the United States. There are many ways of defining unemployment, and our dataset includes two notions of the unemployment rate: 1. Among people who are able to work and are looking for a full-time job, the percentage who can't find a job. This is called the Non-Employment Index, or NEI. 2. Among people who are able to work and are looking for a full-time job, the percentage who can't find any job or are only working at a part-time job. The latter group is called "Part-Time for Economic Reasons", so the acronym for this index is NEI-PTER. (Economists are great at marketing.) The source of the data is here () . Question 1. The data are in a CSV file called unemployment.csv . Load that file into a table called unemployment .
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