Problem 1: Given the dataset produce the following tables: a. A table based on Petal Length a value of less than or equal to 1.4 b. A table with any variety except Setosa variety and Petal Width of less than 2.1 c. A table with an additional feature column computing the ratio of Petal Length/Petal Width.

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
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petal.length petal.width variety
1.4 0.2 Setosa
1.4 0.2 Setosa
1.3 0.2 Setosa
1.5 0.2 Setosa
1.4 0.2 Setosa
1.7 0.4 Setosa
1.4 0.3 Setosa
1.5 0.2 Setosa
1.4 0.2 Setosa
1.5 0.1 Setosa
1.5 0.2 Setosa
1.6 0.2 Setosa
1.4 0.1 Setosa
1.1 0.1 Setosa
1.2 0.2 Setosa
1.5 0.4 Setosa
1.3 0.4 Setosa
1.4 0.3 Setosa
1.7 0.3 Setosa
1.5 0.3 Setosa
1.7 0.2 Setosa
1.5 0.4 Setosa
1 0.2 Setosa
1.7 0.5 Setosa
1.9 0.2 Setosa
1.6 0.2 Setosa
1.6 0.4 Setosa
1.5 0.2 Setosa
1.4 0.2 Setosa
1.6 0.2 Setosa
1.6 0.2 Setosa
1.5 0.4 Setosa
1.5 0.1 Setosa
1.4 0.2 Setosa
1.5 0.2 Setosa
1.2 0.2 Setosa
1.3 0.2 Setosa
1.4 0.1 Setosa
1.3 0.2 Setosa
1.5 0.2 Setosa
1.3 0.3 Setosa
1.3 0.3 Setosa
1.3 0.2 Setosa
1.6 0.6 Setosa
1.9 0.4 Setosa
1.4 0.3 Setosa
1.6 0.2 Setosa
1.4 0.2 Setosa
1.5 0.2 Setosa
1.4 0.2 Setosa
4.7 1.4 Versicolor
4.5 1.5 Versicolor
4.9 1.5 Versicolor
4 1.3 Versicolor
4.6 1.5 Versicolor
4.5 1.3 Versicolor
4.7 1.6 Versicolor
3.3 1 Versicolor
4.6 1.3 Versicolor
3.9 1.4 Versicolor
3.5 1 Versicolor
4.2 1.5 Versicolor
4 1 Versicolor
4.7 1.4 Versicolor
3.6 1.3 Versicolor
4.4 1.4 Versicolor
4.5 1.5 Versicolor
4.1 1 Versicolor
4.5 1.5 Versicolor
3.9 1.1 Versicolor
4.8 1.8 Versicolor
4 1.3 Versicolor
4.9 1.5 Versicolor
4.7 1.2 Versicolor
4.3 1.3 Versicolor
4.4 1.4 Versicolor
4.8 1.4 Versicolor
5 1.7 Versicolor
4.5 1.5 Versicolor
3.5 1 Versicolor
3.8 1.1 Versicolor
3.7 1 Versicolor
3.9 1.2 Versicolor
5.1 1.6 Versicolor
4.5 1.5 Versicolor
4.5 1.6 Versicolor
4.7 1.5 Versicolor
4.4 1.3 Versicolor
4.1 1.3 Versicolor
4 1.3 Versicolor
4.4 1.2 Versicolor
4.6 1.4 Versicolor
4 1.2 Versicolor
3.3 1 Versicolor
4.2 1.3 Versicolor
4.2 1.2 Versicolor
4.2 1.3 Versicolor
4.3 1.3 Versicolor
3 1.1 Versicolor
4.1 1.3 Versicolor
6 2.5 Virginica
5.1 1.9 Virginica
5.9 2.1 Virginica
5.6 1.8 Virginica
5.8 2.2 Virginica
6.6 2.1 Virginica
4.5 1.7 Virginica
6.3 1.8 Virginica
5.8 1.8 Virginica
6.1 2.5 Virginica
5.1 2 Virginica
5.3 1.9 Virginica
5.5 2.1 Virginica
5 2 Virginica
5.1 2.4 Virginica
5.3 2.3 Virginica
5.5 1.8 Virginica
6.7 2.2 Virginica
6.9 2.3 Virginica
5 1.5 Virginica
5.7 2.3 Virginica
4.9 2 Virginica
6.7 2 Virginica
4.9 1.8 Virginica
5.7 2.1 Virginica
6 1.8 Virginica
4.8 1.8 Virginica
4.9 1.8 Virginica
5.6 2.1 Virginica
5.8 1.6 Virginica
6.1 1.9 Virginica
6.4 2 Virginica
5.6 2.2 Virginica
5.1 1.5 Virginica
5.6 1.4 Virginica
6.1 2.3 Virginica
5.6 2.4 Virginica
5.5 1.8 Virginica
4.8 1.8 Virginica
5.4 2.1 Virginica
5.6 2.4 Virginica
5.1 2.3 Virginica
5.1 1.9 Virginica
5.9 2.3 Virginica
5.7 2.5 Virginica
5.2 2.3 Virginica
5 1.9 Virginica
5.2 2 Virginica
5.4 2.3 Virginica
5.1 1.8 Virginica
General Instructions:
1. Download Dataset 5.csv and write a Python code (using JuPyter Notebook) based on the given
problem below.
2. Submit JuPyter notebook using filename: SA2_XY.ipynb (where: X is the Section and Y is the
Group Number; say: SA2_D3.ipynb is group 3 of Section D).
Problem 1: Given the dataset produce the following tables:
a. A table based on Petal Length a value of less than or equal to 1.4
b. A table with any variety except Setosa variety and Petal Width of less than 2.1
c. A table with an additional feature column computing the ratio of Petal Length/Petal
Width.
Problem 2: Describe the dataset using different techniques of visualization; and use the following
questions below as guide only.
a. How can we easily differentiate each of the variety in terms of each feature?
b.
Which among the following variety is closest to each other? What feature did you use?
c. Does the ratio of Petal Length/Petal Width a good indication for variety classification?
d. Analysis: How can you use visualization in describing/telling the story of this dataset?
Transcribed Image Text:General Instructions: 1. Download Dataset 5.csv and write a Python code (using JuPyter Notebook) based on the given problem below. 2. Submit JuPyter notebook using filename: SA2_XY.ipynb (where: X is the Section and Y is the Group Number; say: SA2_D3.ipynb is group 3 of Section D). Problem 1: Given the dataset produce the following tables: a. A table based on Petal Length a value of less than or equal to 1.4 b. A table with any variety except Setosa variety and Petal Width of less than 2.1 c. A table with an additional feature column computing the ratio of Petal Length/Petal Width. Problem 2: Describe the dataset using different techniques of visualization; and use the following questions below as guide only. a. How can we easily differentiate each of the variety in terms of each feature? b. Which among the following variety is closest to each other? What feature did you use? c. Does the ratio of Petal Length/Petal Width a good indication for variety classification? d. Analysis: How can you use visualization in describing/telling the story of this dataset?
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