Write a python program that reads the data file https://archive.ics.uci.edu/ml/machine-learning-databases/eventdetection/CalIt2.data and finds the total count of outflow and the total count of inflow. The attributes in the file are as follows: 1. Flow ID: 7 is out flow, 9 is in flow 2. Date: MM/DD/YY 3. Time: HH:MM:SS 4. Count: Number of counts reported for the previous half hour Rows: Each half hour time slice is represented by 2 rows: one row for the out flow during that time period (ID=7) and one row for the in flow during that time period (ID=9) Hint: # Importing the dataset dataset = pd.read_csv('CalIt2.data') https://archive.ics.uci.edu/ml/machine-learning-databases/event-detection/CalIt2.data this link should work.
Write a python program that reads the data file https://archive.ics.uci.edu/ml/machine-learning-databases/eventdetection/CalIt2.data and finds the total count of outflow and the total count of inflow. The attributes in the file are as follows: 1. Flow ID: 7 is out flow, 9 is in flow 2. Date: MM/DD/YY 3. Time: HH:MM:SS 4. Count: Number of counts reported for the previous half hour Rows: Each half hour time slice is represented by 2 rows: one row for the out flow during that time period (ID=7) and one row for the in flow during that time period (ID=9) Hint: # Importing the dataset dataset = pd.read_csv('CalIt2.data') https://archive.ics.uci.edu/ml/machine-learning-databases/event-detection/CalIt2.data this link should work.
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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Computer Science
Write a python program that reads the data file https://archive.ics.uci.edu/ml/machine-learning-
1. Flow ID: 7 is out flow, 9 is in flow
2. Date: MM/DD/YY
3. Time: HH:MM:SS
4. Count: Number of counts reported for the previous half hour Rows: Each half hour time slice is represented by 2 rows: one row for the out flow during that time period (ID=7) and one row for the in flow during that time period (ID=9) Hint: # Importing the dataset dataset = pd.read_csv('CalIt2.data')
https://archive.ics.uci.edu/ml/machine-learning-databases/event-detection/CalIt2.data
this link should work.
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