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?
Enhanced Discovering Computers 2017 (Shelly Cashman Series) (MindTap Course List)
1st Edition
ISBN:9781305657458
Author:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell
Publisher:Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell
Chapter7: Input And Output: Extending Capabilities Of Computers And Mobile Devices
Section: Chapter Questions
Problem 9TF
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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