Exploratory Data Analysis a. Preprocessing The EDA process begins with loading the data into the environment, getting a quick look at it along with count of records and number of attributes. In [2]: hour.df = pdtead.csx(hour.csv') .: print("Shape of dataset::{}".format(hour.dishane))

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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Provide the output

Exploratory Data Analysis
a. Preprocessing
The EDA process begins with loading the data into the environment, getting a quick look at it
along with count of records and number of attributes.
In [2]: hour df = pd.read csv('hour.csv"')
.: print("Shape of dataset::{}".format(hour dfshape))
Output:
Transcribed Image Text:Exploratory Data Analysis a. Preprocessing The EDA process begins with loading the data into the environment, getting a quick look at it along with count of records and number of attributes. In [2]: hour df = pd.read csv('hour.csv"') .: print("Shape of dataset::{}".format(hour dfshape)) Output:
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