认证杯小美赛频数分析_sensor_1_sensor_2_sensor_4.docxVIP

分析流程

数据源：

supplement_S1-supplement_S1.xlsx

算法配置：

算法：频数分析

变量：变量：{sensor_1，sensor_2，sensor_4，sensor_5，sensor_6，sensor_7，sensor_8，sensor_9，timestamp}

分析结果：

频数分析基于数据汇总统计产生结果，请看详细结论。

分析步骤

1.对每个变量的分布状况进行描述，这里需要注意的是对占比大的频数进行仔细分析其可能存在的原因或者导致的结果。

2.对全局分布进行综述。

详细结论

输出结果1：频数分析结果

名称

选项

频数

百分比(%)

累计百分比(%)

sensor_1

[0.37,0.42)

425

60.113

60.113

[0.42,0.469)

50

7.072

67.185

[0.469,0.518)

52

7.355

74.54

[0.518,0.568]

180

25.46

100

合计

707

100.000

100.000

sensor_2

[0.367,0.417)

407

57.567

57.567

[0.417,0.467)

50

7.072

64.639

[0.467,0.517)

55

7.779

72.419

[0.517,0.567]

195

27.581

100

合计

707

100.000

100.000

sensor_4

[0.375,0.426)

409

57.85

57.85

[0.426,0.476)

53

7.496

65.347

[0.476,0.527)

54

7.638

72.984

[0.527,0.578]

191

27.016

100

合计

707

100.000

100.000

sensor_5

[0.369,0.42)

421

59.547

59.547

[0.42,0.471)

52

7.355

66.902

[0.471,0.522)

56

7.921

74.823

[0.522,0.572]

178

25.177

100

合计

707

100.000

100.000

sensor_6

[0.362,0.413)

390

55.163

55.163

[0.413,0.464)

57

8.062

63.225

[0.464,0.514)

57

8.062

71.287

[0.514,0.565]

203

28.713

100

合计

707

100.000

100.000

sensor_7

[0.367,0.418)

413

58.416

58.416

[0.418,0.469)

52

7.355

65.771

[0.469,0.52)

58

8.204

73.975

[0.52,0.572]

184

26.025

100

合计

707

100.000

100.000

sensor_8

[0.365,0.416)

406

57.426

57.426

[0.416,0.467)

54

7.638

65.064

[0.467,0.518)

59

8.345

73.409

[0.518,0.569]

188

26.591

100

合计

707

100.000

100.000

sensor_9

[0.363,0.414)

401

56.719

56.719

[0.414,0.464)

53

7.496

64.215

[0.464,0.515)

60

8.487

72.702

[0.515,0.566]

193

27.298

100

合计

707

100.000

100.000

timestamp

1993-06-0113:07:37.000

1

0.141

0.141

1993-06-2315:16:26.995

1

0.141

0.283

1993-06-2023:15:22.995

1

0.141

0.424

1993-06-2100:15:23.995

1

0.141

0.566

1993-06-2101:15:24.995

1

0.141

0.707

1993-06-2102:15:25.995

1

0.141

0.849

1993-06-2103:15:26.995

1

0.141

0.99

1993-06-2104:15:27.995

1

0.141

1.132

1993-06-2105:15:28.995

1

0.141

1.273

1993-06-2106:15:29.995

1

0.141

1.414

1993-06-2107:15:30.995

1

0.141

1.556

1993-06-2108:15:31.995

1

0.141

1.697

1993-06-2109:15