文件名称:python基础数据分析实例
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- 人工智能/神经网络/遗传算法
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- 2020-07-13
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- 231kb
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- jf1****
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假设要分析的数据包括属性age。数据元组的年龄值为(按递增顺序)13、15、16、19、20、20、21、22、22、25、25、25、25、25、30、33、35、35、35、36、40、45、46、52、70。另外,假设一家医院用上述年龄属性对所选样本受试者的年龄和体脂数据进行测试,得到结果,并执行下列操作:
1、将上述数据保存在逗号分隔值文件中。
2、将逗号分隔值文件中的数据读入R中的变量。
3、年龄和脂肪百分比的平均、中等和标准差是多少?
4、这个时代的模式是什么?评论数据的形式(即双峰、三峰等)。
5、 年龄范围有多大?
6、年龄的第一个四分位数和第三个四分位数是什么?
7、给出年龄和脂肪百分比的五位数摘要。
8、 绘制年龄和脂肪百分比的方框图。
9、显示年龄和脂肪百分比的直方图。
10、根据这两个变量绘制散点图。(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.)
1、将上述数据保存在逗号分隔值文件中。
2、将逗号分隔值文件中的数据读入R中的变量。
3、年龄和脂肪百分比的平均、中等和标准差是多少?
4、这个时代的模式是什么?评论数据的形式(即双峰、三峰等)。
5、 年龄范围有多大?
6、年龄的第一个四分位数和第三个四分位数是什么?
7、给出年龄和脂肪百分比的五位数摘要。
8、 绘制年龄和脂肪百分比的方框图。
9、显示年龄和脂肪百分比的直方图。
10、根据这两个变量绘制散点图。(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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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
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 |