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- Write a line of code to look at the first few rows of the DataFrame in Python import csv # take a look at the data survey = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/steak-survey/steak-risk-survey.csv')

- Write a line of code to look at the first few rows of the DataFrame in Python import csv # take a look at the data survey = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/steak-survey/steak-risk-survey.csv')

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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- Write a line of code to look at the first few rows of the DataFrame in Python

import csv

# take a look at the data
survey = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/steak-survey/steak-risk-survey.csv')

# YOUR CODE HERE​
Write a line of code to look at the first few rows of the DataFrame In [ ]: # YOUR CODE HERE What do you notice about the first row of the dataframe? Notice that it's not actually an observation from a respondent? Remove this row from the dataset. Assign this back to the variable survey. Print the first few rows again to make sure you've accomplished this. In [ ]: # YOUR CODE HERE raise NotImplementedError() In [ ]: assert survey.shape (550, 15) Notice that there are a lot of different questions that were asked of respondents (columns) and 550 people who responded to the survey (rows). Print a list of all the column names in this DataFrame. We'll only end up working with a subset of these. In [ ]: # YOUR CODE HERE raise NotImplementedError()
Transcribed Image Text:Write a line of code to look at the first few rows of the DataFrame In [ ]: # YOUR CODE HERE What do you notice about the first row of the dataframe? Notice that it's not actually an observation from a respondent? Remove this row from the dataset. Assign this back to the variable survey. Print the first few rows again to make sure you've accomplished this. In [ ]: # YOUR CODE HERE raise NotImplementedError() In [ ]: assert survey.shape (550, 15) Notice that there are a lot of different questions that were asked of respondents (columns) and 550 people who responded to the survey (rows). Print a list of all the column names in this DataFrame. We'll only end up working with a subset of these. In [ ]: # YOUR CODE HERE raise NotImplementedError()
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