"连续型数据属于定量数据，对于定量数据通常可以从集中趋势测度、分散测度、相对位置测度和对称性测度四个维度来分析。 [图片] 例如泰坦尼克数据中有一个连续型变量”Age”，表示乘客的年龄，探索代码 .."

jiangzhucao 北京
乾学院 1061 号会员
523 浏览 • 2 年前

连续型数据探索

图书

连续型数据属于定量数据，对于定量数据通常可以从集中趋势测度、分散测度、相对位置测度和对称性测度四个维度来分析。

例如泰坦尼克数据中有一个连续型变量”Age”，表示乘客的年龄，探索代码如下：

	A
1	=file("D://titanic.csv").import@qtc()
2	=A1.(Age)
3	=A2.max()
4	=A2.min()
5	=A2.avg()
6	=A2.mode()
7	=A2.median()
8	=A2.median(1:4)
9	=A2.median(3:4)
10	=var@s(A2)
11	=sqrt(A9)
12	=A2.skew()
13	=A2.se()
14	8
15	=(A2.max()-A2.min())/A14
16	=A14.([(~-1)A15+A2.min(),~A15+A2.min()])
17	=A16.new(~:group,(~(1)+~(2))/2:group_median, if(#==A16.len(),count(A2.(~>=group(1)&&~<=group(2))),count(A2.(~>=group(1)&&~<group(2)))):count)
18	=canvas()
19	=A18.plot("EnumAxis","name":"x")
20	=A18.plot("NumericAxis","name":"y","location":2)
21	=A18.plot("Column","text":A17.(count),"axis1":"x","data1":A17.(string(group_median)),"axis2":"y","data2":A17.(count))
22	=A18.draw@p(800,450)
23
24	=A1.impute("Age")	[0.25,0.5,0.75]
25	=A24(1).sort()	=A25(1)
26	=A25.(#/A25.len())	=A25.m(-1)
27	=canvas()
28	=A27.plot("NumericAxis","name":"x","autoCalcValueRange":false,"maxValue":1,"scaleNum":10,"allowRegions":false)
29	=A27.plot("NumericAxis","name":"y","location":2,"autoCalcValueRange":false,"autoRangeFromZero":false,"maxValue":A25.m(-1),"minValue":A25(1))
30	=A27.plot("Line","lineColor":-16776961,"markerWeight":1,"axis1":"x","data1":A26,"axis2":"y","data2":A25)
31	for B24	=A27.plot("Line","lineStyle":2,"lineColor":-65281,"markerWeight":-1,"axis1":"x","data1":[A31,A31],"axis2":"y","data2":[B25,B26])
32	=A27.draw@p(800,400)