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- AI-NN-PR
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- Update:
- 2020-07-13
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Description: Suppose the data to be analyzed includes the attribute age. The age values of data tuples were 13, 15, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30, 33, 35, 35, 35, 35, 36, 40, 45, 46, 52, 70. In addition, suppose a hospital uses the above-mentioned age attributes to test the age and body fat data of the selected sample subjects, get the results, and perform the following operations:
1. Save the above data in a comma separated value file.
2. Read data from a comma separated value file into a variable in R.
3. What are the average, medium and standard deviations of age and percentage of fat?
4. What is the pattern of this era? Comment on the form of data (i.e. bimodal, triple peak, etc.).
5. What is the age range?
6. What are the first and third quartiles of age?
7. Give a five digit summary of age and fat percentage.
8. Draw a block diagram of age and percentage of fat.
9. Histogram showing age and percentage of fat.
10. Based on these two variables, a scatter plot is drawn.
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| code1.py | 2544 | 2020-05-15
|
| python数据分析操作——题目.docx | 14209 | 2020-05-14
|
| 数据集1.csv | 157 | 2020-05-15
|
| 运行结果.docx | 242293 | 2020-05-15 |
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