Task: Using Python, describe the dataset using different techniques of visualization; and use the following questions below as guide only a. Which among the following variety is closest to each other? What feature did you use? b. Does the ratio of Petal Length/Petal Width a good indication for variety classification? c. How can we easily differentiate each of the variety in terms of each feature? d. Analysis: How can you use visualization in describing/telling the story of this dataset?
Task: Using Python, describe the dataset using different techniques of visualization; and use the following questions below as guide only a. Which among the following variety is closest to each other? What feature did you use? b. Does the ratio of Petal Length/Petal Width a good indication for variety classification? c. How can we easily differentiate each of the variety in terms of each feature? d. Analysis: How can you use visualization in describing/telling the story of this dataset?
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
| sepal length | sepal width | petal length | petal width | variety |
| 5.1 | 3.5 | 1.4 | 0.2 | Setosa |
| 4.9 | 3 | 1.4 | 0.2 | Setosa |
| 4.7 | 3.2 | 1.3 | 0.2 | Setosa |
| 4.6 | 3.1 | 1.5 | 0.2 | Setosa |
| 5 | 3.6 | 1.4 | 0.2 | Setosa |
| 5.4 | 3.9 | 1.7 | 0.4 | Setosa |
| 4.6 | 3.4 | 1.4 | 0.3 | Setosa |
| 5 | 3.4 | 1.5 | 0.2 | Setosa |
| 4.4 | 2.9 | 1.4 | 0.2 | Setosa |
| 4.9 | 3.1 | 1.5 | 0.1 | Setosa |
| 5.4 | 3.7 | 1.5 | 0.2 | Setosa |
| 4.8 | 3.4 | 1.6 | 0.2 | Setosa |
| 4.8 | 3 | 1.4 | 0.1 | Setosa |
| 4.3 | 3 | 1.1 | 0.1 | Setosa |
| 5.8 | 4 | 1.2 | 0.2 | Setosa |
| 5.7 | 4.4 | 1.5 | 0.4 | Setosa |
| 5.4 | 3.9 | 1.3 | 0.4 | Setosa |
| 5.1 | 3.5 | 1.4 | 0.3 | Setosa |
| 5.7 | 3.8 | 1.7 | 0.3 | Setosa |
| 5.1 | 3.8 | 1.5 | 0.3 | Setosa |
| 5.4 | 3.4 | 1.7 | 0.2 | Setosa |
| 5.1 | 3.7 | 1.5 | 0.4 | Setosa |
| 4.6 | 3.6 | 1 | 0.2 | Setosa |
| 5.1 | 3.3 | 1.7 | 0.5 | Setosa |
| 4.8 | 3.4 | 1.9 | 0.2 | Setosa |
| 5 | 3 | 1.6 | 0.2 | Setosa |
| 5 | 3.4 | 1.6 | 0.4 | Setosa |
| 5.2 | 3.5 | 1.5 | 0.2 | Setosa |
| 5.2 | 3.4 | 1.4 | 0.2 | Setosa |
| 4.7 | 3.2 | 1.6 | 0.2 | Setosa |
| 4.8 | 3.1 | 1.6 | 0.2 | Setosa |
| 5.4 | 3.4 | 1.5 | 0.4 | Setosa |
| 5.2 | 4.1 | 1.5 | 0.1 | Setosa |
| 5.5 | 4.2 | 1.4 | 0.2 | Setosa |
| 4.9 | 3.1 | 1.5 | 0.2 | Setosa |
| 5 | 3.2 | 1.2 | 0.2 | Setosa |
| 5.5 | 3.5 | 1.3 | 0.2 | Setosa |
| 4.9 | 3.6 | 1.4 | 0.1 | Setosa |
| 4.4 | 3 | 1.3 | 0.2 | Setosa |
| 5.1 | 3.4 | 1.5 | 0.2 | Setosa |
| 5 | 3.5 | 1.3 | 0.3 | Setosa |
| 4.5 | 2.3 | 1.3 | 0.3 | Setosa |
| 4.4 | 3.2 | 1.3 | 0.2 | Setosa |
| 5 | 3.5 | 1.6 | 0.6 | Setosa |
| 5.1 | 3.8 | 1.9 | 0.4 | Setosa |
| 4.8 | 3 | 1.4 | 0.3 | Setosa |
| 5.1 | 3.8 | 1.6 | 0.2 | Setosa |
| 4.6 | 3.2 | 1.4 | 0.2 | Setosa |
| 5.3 | 3.7 | 1.5 | 0.2 | Setosa |
| 5 | 3.3 | 1.4 | 0.2 | Setosa |
| 7 | 3.2 | 4.7 | 1.4 | Versicolor |
| 6.4 | 3.2 | 4.5 | 1.5 | Versicolor |
| 6.9 | 3.1 | 4.9 | 1.5 | Versicolor |
| 5.5 | 2.3 | 4 | 1.3 | Versicolor |
| 6.5 | 2.8 | 4.6 | 1.5 | Versicolor |
| 5.7 | 2.8 | 4.5 | 1.3 | Versicolor |
| 6.3 | 3.3 | 4.7 | 1.6 | Versicolor |
| 4.9 | 2.4 | 3.3 | 1 | Versicolor |
| 6.6 | 2.9 | 4.6 | 1.3 | Versicolor |
| 5.2 | 2.7 | 3.9 | 1.4 | Versicolor |
| 5 | 2 | 3.5 | 1 | Versicolor |
| 5.9 | 3 | 4.2 | 1.5 | Versicolor |
| 6 | 2.2 | 4 | 1 | Versicolor |
| 6.1 | 2.9 | 4.7 | 1.4 | Versicolor |
| 5.6 | 2.9 | 3.6 | 1.3 | Versicolor |
| 6.7 | 3.1 | 4.4 | 1.4 | Versicolor |
| 5.6 | 3 | 4.5 | 1.5 | Versicolor |
| 5.8 | 2.7 | 4.1 | 1 | Versicolor |
| 6.2 | 2.2 | 4.5 | 1.5 | Versicolor |
| 5.6 | 2.5 | 3.9 | 1.1 | Versicolor |
| 5.9 | 3.2 | 4.8 | 1.8 | Versicolor |
| 6.1 | 2.8 | 4 | 1.3 | Versicolor |
| 6.3 | 2.5 | 4.9 | 1.5 | Versicolor |
| 6.1 | 2.8 | 4.7 | 1.2 | Versicolor |
| 6.4 | 2.9 | 4.3 | 1.3 | Versicolor |
| 6.6 | 3 | 4.4 | 1.4 | Versicolor |
| 6.8 | 2.8 | 4.8 | 1.4 | Versicolor |
| 6.7 | 3 | 5 | 1.7 | Versicolor |
| 6 | 2.9 | 4.5 | 1.5 | Versicolor |
| 5.7 | 2.6 | 3.5 | 1 | Versicolor |
| 5.5 | 2.4 | 3.8 | 1.1 | Versicolor |
| 5.5 | 2.4 | 3.7 | 1 | Versicolor |
| 5.8 | 2.7 | 3.9 | 1.2 | Versicolor |
| 6 | 2.7 | 5.1 | 1.6 | Versicolor |
| 5.4 | 3 | 4.5 | 1.5 | Versicolor |
| 6 | 3.4 | 4.5 | 1.6 | Versicolor |
| 6.7 | 3.1 | 4.7 | 1.5 | Versicolor |
| 6.3 | 2.3 | 4.4 | 1.3 | Versicolor |
| 5.6 | 3 | 4.1 | 1.3 | Versicolor |
| 5.5 | 2.5 | 4 | 1.3 | Versicolor |
| 5.5 | 2.6 | 4.4 | 1.2 | Versicolor |
| 6.1 | 3 | 4.6 | 1.4 | Versicolor |
| 5.8 | 2.6 | 4 | 1.2 | Versicolor |
| 5 | 2.3 | 3.3 | 1 | Versicolor |
| 5.6 | 2.7 | 4.2 | 1.3 | Versicolor |
| 5.7 | 3 | 4.2 | 1.2 | Versicolor |
| 5.7 | 2.9 | 4.2 | 1.3 | Versicolor |
| 6.2 | 2.9 | 4.3 | 1.3 | Versicolor |
| 5.1 | 2.5 | 3 | 1.1 | Versicolor |
| 5.7 | 2.8 | 4.1 | 1.3 | Versicolor |
| 6.3 | 3.3 | 6 | 2.5 | Virginica |
| 5.8 | 2.7 | 5.1 | 1.9 | Virginica |
| 7.1 | 3 | 5.9 | 2.1 | Virginica |
| 6.3 | 2.9 | 5.6 | 1.8 | Virginica |
| 6.5 | 3 | 5.8 | 2.2 | Virginica |
| 7.6 | 3 | 6.6 | 2.1 | Virginica |
| 4.9 | 2.5 | 4.5 | 1.7 | Virginica |
| 7.3 | 2.9 | 6.3 | 1.8 | Virginica |
| 6.7 | 2.5 | 5.8 | 1.8 | Virginica |
| 7.2 | 3.6 | 6.1 | 2.5 | Virginica |
| 6.5 | 3.2 | 5.1 | 2 | Virginica |
| 6.4 | 2.7 | 5.3 | 1.9 | Virginica |
| 6.8 | 3 | 5.5 | 2.1 | Virginica |
| 5.7 | 2.5 | 5 | 2 | Virginica |
| 5.8 | 2.8 | 5.1 | 2.4 | Virginica |
| 6.4 | 3.2 | 5.3 | 2.3 | Virginica |
| 6.5 | 3 | 5.5 | 1.8 | Virginica |
| 7.7 | 3.8 | 6.7 | 2.2 | Virginica |
| 7.7 | 2.6 | 6.9 | 2.3 | Virginica |
| 6 | 2.2 | 5 | 1.5 | Virginica |
| 6.9 | 3.2 | 5.7 | 2.3 | Virginica |
| 5.6 | 2.8 | 4.9 | 2 | Virginica |
| 7.7 | 2.8 | 6.7 | 2 | Virginica |
| 6.3 | 2.7 | 4.9 | 1.8 | Virginica |
| 6.7 | 3.3 | 5.7 | 2.1 | Virginica |
| 7.2 | 3.2 | 6 | 1.8 | Virginica |
| 6.2 | 2.8 | 4.8 | 1.8 | Virginica |
| 6.1 | 3 | 4.9 | 1.8 | Virginica |
| 6.4 | 2.8 | 5.6 | 2.1 | Virginica |
| 7.2 | 3 | 5.8 | 1.6 | Virginica |
| 7.4 | 2.8 | 6.1 | 1.9 | Virginica |
| 7.9 | 3.8 | 6.4 | 2 | Virginica |
| 6.4 | 2.8 | 5.6 | 2.2 | Virginica |
| 6.3 | 2.8 | 5.1 | 1.5 | Virginica |
| 6.1 | 2.6 | 5.6 | 1.4 | Virginica |
| 7.7 | 3 | 6.1 | 2.3 | Virginica |
| 6.3 | 3.4 | 5.6 | 2.4 | Virginica |
| 6.4 | 3.1 | 5.5 | 1.8 | Virginica |
| 6 | 3 | 4.8 | 1.8 | Virginica |
| 6.9 | 3.1 | 5.4 | 2.1 | Virginica |
| 6.7 | 3.1 | 5.6 | 2.4 | Virginica |
| 6.9 | 3.1 | 5.1 | 2.3 | Virginica |
| 5.8 | 2.7 | 5.1 | 1.9 | Virginica |
| 6.8 | 3.2 | 5.9 | 2.3 | Virginica |
| 6.7 | 3.3 | 5.7 | 2.5 | Virginica |
| 6.7 | 3 | 5.2 | 2.3 | Virginica |
| 6.3 | 2.5 | 5 | 1.9 | Virginica |
| 6.5 | 3 | 5.2 | 2 | Virginica |
| 6.2 | 3.4 | 5.4 | 2.3 | Virginica |
| 5.9 | 3 | 5.1 | 1.8 | Virginica |
Task: Using Python, describe the dataset using different techniques of visualization; and use the following
questions below as guide only
a. Which among the following variety is closest to each other? What feature did you use?
b. Does the ratio of Petal Length/Petal Width a good indication for variety classification? c. How can we easily differentiate each of the variety in terms of each feature?
d. Analysis: How can you use visualization in describing/telling the story of this dataset?
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