Overview

Dataset statistics

Number of variables53
Number of observations6558
Missing cells65871
Missing cells (%)19.0%
Duplicate rows297
Duplicate rows (%)4.5%
Total size in memory3.0 MiB
Average record size in memory473.0 B

Variable types

Numeric40
Unsupported7
Text3
Categorical3

Dataset

Description농림수산식품교육문화정보원 스마트팜코리아에서 제공하는 스마트축산 낙농분야 유성분검사성적서 정보입니다.
Author농림수산식품교육문화정보원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20210929000000001579

Alerts

데이터입력코드 has constant value ""Constant
Dataset has 297 (4.5%) duplicate rowsDuplicates
체점수(연계) is highly imbalanced (88.8%)Imbalance
착유일련번호 has 6558 (100.0%) missing valuesMissing
개체번호 has 319 (4.9%) missing valuesMissing
혈통번호 has 6558 (100.0%) missing valuesMissing
최근분만일(연계) has 2346 (35.8%) missing valuesMissing
최근건유일(연계) has 5902 (90.0%) missing valuesMissing
가수제일자(연계) has 2346 (35.8%) missing valuesMissing
최종수정일자(연계) has 1993 (30.4%) missing valuesMissing
최종수정횟수(연계) has 1993 (30.4%) missing valuesMissing
최종수정정액코드(연계) has 1993 (30.4%) missing valuesMissing
분만후첫수정일까지일수 has 3073 (46.9%) missing valuesMissing
유성분검사일련번호 has 6558 (100.0%) missing valuesMissing
검정일시(ICT) has 6558 (100.0%) missing valuesMissing
단백율 has 6558 (100.0%) missing valuesMissing
고형율 has 6558 (100.0%) missing valuesMissing
유당 has 6558 (100.0%) missing valuesMissing
착유일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
혈통번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유성분검사일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
검정일시(ICT) is an unsupported type, check if it needs cleaning or further analysisUnsupported
단백율 is an unsupported type, check if it needs cleaning or further analysisUnsupported
고형율 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유당 is an unsupported type, check if it needs cleaning or further analysisUnsupported
누적착유일(연계) has 2358 (36.0%) zerosZeros
유지방율 has 3060 (46.7%) zerosZeros
유단백 has 3060 (46.7%) zerosZeros
무지고형분 has 3060 (46.7%) zerosZeros
체세포수 has 3074 (46.9%) zerosZeros
우유내요소태질소 has 3060 (46.7%) zerosZeros
305일유량 has 3180 (48.5%) zerosZeros
305일유지량 has 3180 (48.5%) zerosZeros
305일유단백 has 3180 (48.5%) zerosZeros
305일무지고형분 has 3180 (48.5%) zerosZeros
성년유량 has 3180 (48.5%) zerosZeros
성년유지량 has 3180 (48.5%) zerosZeros
성년유단백량 has 3180 (48.5%) zerosZeros
성년무지고형분량 has 3180 (48.5%) zerosZeros
전산차비유지속성 has 4784 (72.9%) zerosZeros
현재산차비유지속성 has 5413 (82.5%) zerosZeros
비유최고도달일수 has 2333 (35.6%) zerosZeros
비유후기최고유량 has 2374 (36.2%) zerosZeros
비유초기평균유지율 has 2625 (40.0%) zerosZeros
비유초기평균단백율 has 2625 (40.0%) zerosZeros
비유초기평균MNU has 2623 (40.0%) zerosZeros
최고유량체세포 has 2388 (36.4%) zerosZeros
건유전마지막유량 has 4200 (64.0%) zerosZeros
전산차건유전유량 has 3980 (60.7%) zerosZeros
산차 has 2346 (35.8%) zerosZeros
농후사료비(연계) has 5488 (83.7%) zerosZeros
농후사료급여량(연계) has 4983 (76.0%) zerosZeros
공태일수 has 4470 (68.2%) zerosZeros

Reproduction

Analysis started2023-12-11 03:10:17.708365
Analysis finished2023-12-11 03:10:18.763255
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농장아이디
Real number (ℝ)

Distinct32
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20690.896
Minimum20249
Maximum21278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:18.831789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20249
5-th percentile20249
Q120265
median20332
Q321143
95-th percentile21150
Maximum21278
Range1029
Interquartile range (IQR)878

Descriptive statistics

Standard deviation440.67417
Coefficient of variation (CV)0.021297974
Kurtosis-1.9532493
Mean20690.896
Median Absolute Deviation (MAD)83
Skewness0.11608027
Sum1.356909 × 108
Variance194193.72
MonotonicityIncreasing
2023-12-11T12:10:18.983323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20284 506
 
7.7%
21134 472
 
7.2%
21143 448
 
6.8%
20249 347
 
5.3%
21144 302
 
4.6%
20259 298
 
4.5%
20269 273
 
4.2%
21141 250
 
3.8%
20251 234
 
3.6%
21139 211
 
3.2%
Other values (22) 3217
49.1%
ValueCountFrequency (%)
20249 347
5.3%
20250 191
2.9%
20251 234
3.6%
20259 298
4.5%
20262 84
 
1.3%
20263 181
2.8%
20264 155
2.4%
20265 156
2.4%
20267 67
 
1.0%
20268 209
3.2%
ValueCountFrequency (%)
21278 168
 
2.6%
21276 81
 
1.2%
21275 74
 
1.1%
21150 162
 
2.5%
21149 144
 
2.2%
21146 153
 
2.3%
21145 156
 
2.4%
21144 302
4.6%
21143 448
6.8%
21142 152
 
2.3%

착유일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6558
Missing (%)100.0%
Memory size57.8 KiB

개체번호
Real number (ℝ)

MISSING 

Distinct404
Distinct (%)6.5%
Missing319
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean2.0174087 × 1013
Minimum2.00803 × 1013
Maximum2.02101 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:19.130563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.00803 × 1013
5-th percentile2.0131022 × 1013
Q12.01609 × 1013
median2.01803 × 1013
Q32.01906 × 1013
95-th percentile2.02008 × 1013
Maximum2.02101 × 1013
Range1.298 × 1011
Interquartile range (IQR)2.97 × 1010

Descriptive statistics

Standard deviation2.1178276 × 1010
Coefficient of variation (CV)0.0010497762
Kurtosis0.90472316
Mean2.0174087 × 1013
Median Absolute Deviation (MAD)1.05 × 1010
Skewness-0.90309882
Sum1.2586613 × 1017
Variance4.4851938 × 1020
MonotonicityNot monotonic
2023-12-11T12:10:19.325124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180800000000 164
 
2.5%
20181000000000 162
 
2.5%
20210100000000 144
 
2.2%
20180700000000 136
 
2.1%
20190700000000 130
 
2.0%
20190900000000 126
 
1.9%
20190800000000 118
 
1.8%
20191000000000 114
 
1.7%
20190200000000 113
 
1.7%
20200700000000 108
 
1.6%
Other values (394) 4924
75.1%
(Missing) 319
 
4.9%
ValueCountFrequency (%)
20080300000000 2
< 0.1%
20090100000000 2
< 0.1%
20090300000000 4
0.1%
20090400000000 4
0.1%
20090600000000 2
< 0.1%
20090800000000 2
< 0.1%
20091100000000 2
< 0.1%
20091200000000 2
< 0.1%
20100300000000 2
< 0.1%
20100400000000 2
< 0.1%
ValueCountFrequency (%)
20210100000000 144
2.2%
20201200000000 2
 
< 0.1%
20201100000000 26
 
0.4%
20201000000000 58
0.9%
20200900000000 40
 
0.6%
20200800000000 78
1.2%
20200700000000 108
1.6%
20200600000000 58
0.9%
20200500000000 38
 
0.6%
20200400000000 36
 
0.5%

혈통번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6558
Missing (%)100.0%
Memory size57.8 KiB

검정일자
Real number (ℝ)

Distinct39
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210166
Minimum20210101
Maximum20210228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:19.479906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210101
5-th percentile20210104
Q120210114
median20210201
Q320210216
95-th percentile20210226
Maximum20210228
Range127
Interquartile range (IQR)102

Descriptive statistics

Standard deviation50.804228
Coefficient of variation (CV)2.5137957 × 10-6
Kurtosis-1.8902794
Mean20210166
Median Absolute Deviation (MAD)27
Skewness-0.014619744
Sum1.3253827 × 1011
Variance2581.0696
MonotonicityNot monotonic
2023-12-11T12:10:19.655051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
20210223 378
 
5.8%
20210222 365
 
5.6%
20210114 344
 
5.2%
20210120 297
 
4.5%
20210113 287
 
4.4%
20210111 279
 
4.3%
20210127 260
 
4.0%
20210210 257
 
3.9%
20210104 255
 
3.9%
20210202 251
 
3.8%
Other values (29) 3585
54.7%
ValueCountFrequency (%)
20210101 150
2.3%
20210102 68
 
1.0%
20210104 255
3.9%
20210105 105
 
1.6%
20210106 103
 
1.6%
20210107 76
 
1.2%
20210109 78
 
1.2%
20210111 279
4.3%
20210112 96
 
1.5%
20210113 287
4.4%
ValueCountFrequency (%)
20210228 138
 
2.1%
20210227 66
 
1.0%
20210226 191
2.9%
20210225 82
 
1.3%
20210224 136
 
2.1%
20210223 378
5.8%
20210222 365
5.6%
20210221 162
2.5%
20210216 245
3.7%
20210215 235
3.6%

누적착유일(연계)
Real number (ℝ)

ZEROS 

Distinct568
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.34294
Minimum0
Maximum803
Zeros2358
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:19.853746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median84
Q3232
95-th percentile431
Maximum803
Range803
Interquartile range (IQR)232

Descriptive statistics

Standard deviation154.71393
Coefficient of variation (CV)1.134741
Kurtosis0.40685734
Mean136.34294
Median Absolute Deviation (MAD)84
Skewness1.0490377
Sum894137
Variance23936.399
MonotonicityNot monotonic
2023-12-11T12:10:20.018409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2358
36.0%
37 24
 
0.4%
174 19
 
0.3%
148 18
 
0.3%
285 18
 
0.3%
191 18
 
0.3%
85 17
 
0.3%
119 17
 
0.3%
104 17
 
0.3%
141 17
 
0.3%
Other values (558) 4035
61.5%
ValueCountFrequency (%)
0 2358
36.0%
1 11
 
0.2%
2 8
 
0.1%
3 14
 
0.2%
4 4
 
0.1%
5 8
 
0.1%
6 10
 
0.2%
7 9
 
0.1%
8 15
 
0.2%
9 11
 
0.2%
ValueCountFrequency (%)
803 1
 
< 0.1%
786 2
< 0.1%
780 1
 
< 0.1%
775 1
 
< 0.1%
774 2
< 0.1%
767 2
< 0.1%
765 1
 
< 0.1%
749 1
 
< 0.1%
747 3
< 0.1%
737 1
 
< 0.1%

유지방율
Real number (ℝ)

ZEROS 

Distinct520
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2923742
Minimum0
Maximum9.6
Zeros3060
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:20.179586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.765
Q34.33
95-th percentile5.43
Maximum9.6
Range9.6
Interquartile range (IQR)4.33

Descriptive statistics

Standard deviation2.2644815
Coefficient of variation (CV)0.98783239
Kurtosis-1.4903258
Mean2.2923742
Median Absolute Deviation (MAD)2.765
Skewness0.18674122
Sum15033.39
Variance5.1278764
MonotonicityNot monotonic
2023-12-11T12:10:20.685000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3060
46.7%
4.69 28
 
0.4%
4.33 27
 
0.4%
4.77 27
 
0.4%
4.3 25
 
0.4%
3.92 25
 
0.4%
3.98 25
 
0.4%
4.19 25
 
0.4%
4.39 24
 
0.4%
4.18 24
 
0.4%
Other values (510) 3268
49.8%
ValueCountFrequency (%)
0.0 3060
46.7%
1.13 1
 
< 0.1%
1.14 1
 
< 0.1%
1.19 1
 
< 0.1%
1.2 1
 
< 0.1%
1.25 1
 
< 0.1%
1.28 1
 
< 0.1%
1.32 1
 
< 0.1%
1.36 1
 
< 0.1%
1.38 1
 
< 0.1%
ValueCountFrequency (%)
9.6 1
< 0.1%
9.51 1
< 0.1%
9.33 1
< 0.1%
9.3 1
< 0.1%
9.18 1
< 0.1%
9.14 1
< 0.1%
9.03 1
< 0.1%
9.02 1
< 0.1%
8.92 1
< 0.1%
8.84 1
< 0.1%

유단백
Real number (ℝ)

ZEROS 

Distinct204
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8195319
Minimum0
Maximum4.97
Zeros3060
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:20.841245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.9
Q33.41
95-th percentile3.8815
Maximum4.97
Range4.97
Interquartile range (IQR)3.41

Descriptive statistics

Standard deviation1.7210903
Coefficient of variation (CV)0.9458973
Kurtosis-1.9041463
Mean1.8195319
Median Absolute Deviation (MAD)1.08
Skewness-0.066350892
Sum11932.49
Variance2.9621518
MonotonicityNot monotonic
2023-12-11T12:10:20.985564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3060
46.7%
3.34 55
 
0.8%
3.4 54
 
0.8%
3.35 54
 
0.8%
3.25 52
 
0.8%
3.47 50
 
0.8%
3.2 50
 
0.8%
3.26 48
 
0.7%
3.21 47
 
0.7%
3.59 46
 
0.7%
Other values (194) 3042
46.4%
ValueCountFrequency (%)
0.0 3060
46.7%
2.15 1
 
< 0.1%
2.35 1
 
< 0.1%
2.41 1
 
< 0.1%
2.42 1
 
< 0.1%
2.43 1
 
< 0.1%
2.46 1
 
< 0.1%
2.48 2
 
< 0.1%
2.49 1
 
< 0.1%
2.52 1
 
< 0.1%
ValueCountFrequency (%)
4.97 1
< 0.1%
4.87 1
< 0.1%
4.79 2
< 0.1%
4.71 2
< 0.1%
4.64 1
< 0.1%
4.6 2
< 0.1%
4.46 1
< 0.1%
4.45 1
< 0.1%
4.44 2
< 0.1%
4.43 2
< 0.1%

무지고형분
Real number (ℝ)

ZEROS 

Distinct242
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7869137
Minimum0
Maximum10.39
Zeros3060
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:21.155472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8.34
Q39.02
95-th percentile9.5
Maximum10.39
Range10.39
Interquartile range (IQR)9.02

Descriptive statistics

Standard deviation4.4880214
Coefficient of variation (CV)0.93756054
Kurtosis-1.9677156
Mean4.7869137
Median Absolute Deviation (MAD)1.265
Skewness-0.11992946
Sum31392.58
Variance20.142336
MonotonicityNot monotonic
2023-12-11T12:10:21.317458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3060
46.7%
9.05 47
 
0.7%
9.1 46
 
0.7%
8.98 45
 
0.7%
8.99 41
 
0.6%
9.07 40
 
0.6%
9.27 40
 
0.6%
8.93 39
 
0.6%
9.08 39
 
0.6%
9.24 38
 
0.6%
Other values (232) 3123
47.6%
ValueCountFrequency (%)
0.0 3060
46.7%
7.34 1
 
< 0.1%
7.36 1
 
< 0.1%
7.57 1
 
< 0.1%
7.59 1
 
< 0.1%
7.64 1
 
< 0.1%
7.67 1
 
< 0.1%
7.69 1
 
< 0.1%
7.74 1
 
< 0.1%
7.76 1
 
< 0.1%
ValueCountFrequency (%)
10.39 1
< 0.1%
10.37 1
< 0.1%
10.33 1
< 0.1%
10.29 2
< 0.1%
10.28 1
< 0.1%
10.27 2
< 0.1%
10.19 2
< 0.1%
10.18 1
< 0.1%
10.17 1
< 0.1%
10.15 1
< 0.1%

체세포수
Real number (ℝ)

ZEROS 

Distinct569
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.985514
Minimum0
Maximum10094
Zeros3074
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:21.455151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19
Q377
95-th percentile334
Maximum10094
Range10094
Interquartile range (IQR)77

Descriptive statistics

Standard deviation290.82422
Coefficient of variation (CV)3.3822467
Kurtosis351.51155
Mean85.985514
Median Absolute Deviation (MAD)19
Skewness14.72658
Sum563893
Variance84578.725
MonotonicityNot monotonic
2023-12-11T12:10:21.609094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3074
46.9%
23 47
 
0.7%
21 46
 
0.7%
29 45
 
0.7%
38 45
 
0.7%
41 40
 
0.6%
39 40
 
0.6%
32 39
 
0.6%
25 39
 
0.6%
28 38
 
0.6%
Other values (559) 3105
47.3%
ValueCountFrequency (%)
0 3074
46.9%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
7 6
 
0.1%
8 7
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
10094 1
< 0.1%
7646 1
< 0.1%
5338 1
< 0.1%
4494 1
< 0.1%
4482 1
< 0.1%
4225 1
< 0.1%
4224 1
< 0.1%
3913 1
< 0.1%
3636 1
< 0.1%
3618 1
< 0.1%

우유내요소태질소
Real number (ℝ)

ZEROS 

Distinct233
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1297499
Minimum0
Maximum39.9
Zeros3060
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:21.752432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q313
95-th percentile17.6
Maximum39.9
Range39.9
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.1803934
Coefficient of variation (CV)1.0071031
Kurtosis-0.83602328
Mean7.1297499
Median Absolute Deviation (MAD)9
Skewness0.37196793
Sum46756.9
Variance51.558049
MonotonicityNot monotonic
2023-12-11T12:10:21.911895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3060
46.7%
12.1 83
 
1.3%
12.0 75
 
1.1%
13.1 67
 
1.0%
11.8 67
 
1.0%
12.8 63
 
1.0%
13.3 58
 
0.9%
12.6 57
 
0.9%
11.7 57
 
0.9%
12.3 55
 
0.8%
Other values (223) 2916
44.5%
ValueCountFrequency (%)
0.0 3060
46.7%
3.4 1
 
< 0.1%
3.8 1
 
< 0.1%
3.9 1
 
< 0.1%
4.0 1
 
< 0.1%
4.4 1
 
< 0.1%
4.6 1
 
< 0.1%
4.7 1
 
< 0.1%
4.9 1
 
< 0.1%
5.0 1
 
< 0.1%
ValueCountFrequency (%)
39.9 1
< 0.1%
38.8 1
< 0.1%
37.6 1
< 0.1%
36.5 1
< 0.1%
36.1 1
< 0.1%
35.5 1
< 0.1%
35.4 2
< 0.1%
35.3 1
< 0.1%
34.7 1
< 0.1%
34.2 1
< 0.1%

305일유량
Real number (ℝ)

ZEROS 

Distinct2285
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5547.7295
Minimum0
Maximum17216
Zeros3180
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:22.058683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6999.5
Q310801
95-th percentile13471
Maximum17216
Range17216
Interquartile range (IQR)10801

Descriptive statistics

Standard deviation5580.1253
Coefficient of variation (CV)1.0058395
Kurtosis-1.7269232
Mean5547.7295
Median Absolute Deviation (MAD)6999.5
Skewness0.14288308
Sum36382010
Variance31137798
MonotonicityNot monotonic
2023-12-11T12:10:22.230311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3180
48.5%
10023 9
 
0.1%
8391 6
 
0.1%
11582 6
 
0.1%
10570 6
 
0.1%
11014 6
 
0.1%
9704 6
 
0.1%
7747 6
 
0.1%
10949 5
 
0.1%
10304 5
 
0.1%
Other values (2275) 3323
50.7%
ValueCountFrequency (%)
0 3180
48.5%
1502 2
 
< 0.1%
4352 1
 
< 0.1%
4401 1
 
< 0.1%
4411 1
 
< 0.1%
4444 1
 
< 0.1%
4594 1
 
< 0.1%
4782 1
 
< 0.1%
4811 1
 
< 0.1%
4902 1
 
< 0.1%
ValueCountFrequency (%)
17216 1
< 0.1%
17150 2
< 0.1%
17143 1
< 0.1%
17130 2
< 0.1%
17052 1
< 0.1%
16928 2
< 0.1%
16920 2
< 0.1%
16882 1
< 0.1%
16565 1
< 0.1%
16503 1
< 0.1%

305일유지량
Real number (ℝ)

ZEROS 

Distinct499
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.16285
Minimum0
Maximum1235
Zeros3180
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:22.410024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median240
Q3426
95-th percentile564
Maximum1235
Range1235
Interquartile range (IQR)426

Descriptive statistics

Standard deviation227.45851
Coefficient of variation (CV)1.0331376
Kurtosis-1.370691
Mean220.16285
Median Absolute Deviation (MAD)240
Skewness0.30679694
Sum1443828
Variance51737.375
MonotonicityNot monotonic
2023-12-11T12:10:22.633375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3180
48.5%
394 24
 
0.4%
438 24
 
0.4%
395 23
 
0.4%
447 23
 
0.4%
434 22
 
0.3%
445 20
 
0.3%
426 20
 
0.3%
410 20
 
0.3%
379 19
 
0.3%
Other values (489) 3183
48.5%
ValueCountFrequency (%)
0 3180
48.5%
77 2
 
< 0.1%
155 1
 
< 0.1%
163 2
 
< 0.1%
164 4
 
0.1%
168 1
 
< 0.1%
173 2
 
< 0.1%
177 3
 
< 0.1%
181 8
 
0.1%
182 1
 
< 0.1%
ValueCountFrequency (%)
1235 1
< 0.1%
1172 1
< 0.1%
928 1
< 0.1%
916 1
< 0.1%
897 1
< 0.1%
876 2
< 0.1%
875 1
< 0.1%
851 1
< 0.1%
838 1
< 0.1%
837 1
< 0.1%

305일유단백
Real number (ℝ)

ZEROS 

Distinct324
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.84462
Minimum0
Maximum549
Zeros3180
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:22.776307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median228
Q3344
95-th percentile427
Maximum549
Range549
Interquartile range (IQR)344

Descriptive statistics

Standard deviation177.65104
Coefficient of variation (CV)1.0045601
Kurtosis-1.7468739
Mean176.84462
Median Absolute Deviation (MAD)228
Skewness0.13401989
Sum1159747
Variance31559.892
MonotonicityNot monotonic
2023-12-11T12:10:22.919853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3180
48.5%
314 33
 
0.5%
325 32
 
0.5%
344 31
 
0.5%
329 30
 
0.5%
366 29
 
0.4%
313 28
 
0.4%
331 27
 
0.4%
365 27
 
0.4%
317 27
 
0.4%
Other values (314) 3114
47.5%
ValueCountFrequency (%)
0 3180
48.5%
57 2
 
< 0.1%
111 1
 
< 0.1%
129 1
 
< 0.1%
133 1
 
< 0.1%
146 1
 
< 0.1%
147 1
 
< 0.1%
151 1
 
< 0.1%
164 1
 
< 0.1%
166 1
 
< 0.1%
ValueCountFrequency (%)
549 1
 
< 0.1%
547 1
 
< 0.1%
530 1
 
< 0.1%
514 2
 
< 0.1%
513 3
< 0.1%
509 1
 
< 0.1%
506 2
 
< 0.1%
504 7
0.1%
498 2
 
< 0.1%
496 1
 
< 0.1%

305일무지고형분
Real number (ℝ)

ZEROS 

Distinct744
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean484.32754
Minimum0
Maximum1516
Zeros3180
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:23.060963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median610
Q3941
95-th percentile1174.15
Maximum1516
Range1516
Interquartile range (IQR)941

Descriptive statistics

Standard deviation487.16202
Coefficient of variation (CV)1.0058524
Kurtosis-1.726058
Mean484.32754
Median Absolute Deviation (MAD)610
Skewness0.14330522
Sum3176220
Variance237326.84
MonotonicityNot monotonic
2023-12-11T12:10:23.270386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3180
48.5%
888 20
 
0.3%
803 16
 
0.2%
937 15
 
0.2%
1028 15
 
0.2%
962 15
 
0.2%
918 15
 
0.2%
862 14
 
0.2%
870 14
 
0.2%
1071 13
 
0.2%
Other values (734) 3241
49.4%
ValueCountFrequency (%)
0 3180
48.5%
130 2
 
< 0.1%
355 1
 
< 0.1%
375 1
 
< 0.1%
382 1
 
< 0.1%
385 1
 
< 0.1%
393 1
 
< 0.1%
395 1
 
< 0.1%
418 1
 
< 0.1%
433 1
 
< 0.1%
ValueCountFrequency (%)
1516 1
< 0.1%
1504 1
< 0.1%
1502 1
< 0.1%
1501 2
< 0.1%
1477 1
< 0.1%
1465 2
< 0.1%
1464 2
< 0.1%
1450 1
< 0.1%
1446 1
< 0.1%
1434 2
< 0.1%

성년유량
Real number (ℝ)

ZEROS 

Distinct2282
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5856.7842
Minimum0
Maximum17878
Zeros3180
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:23.469728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7481
Q311463.75
95-th percentile13872
Maximum17878
Range17878
Interquartile range (IQR)11463.75

Descriptive statistics

Standard deviation5861.1938
Coefficient of variation (CV)1.0007529
Kurtosis-1.7821028
Mean5856.7842
Median Absolute Deviation (MAD)7481
Skewness0.11115034
Sum38408791
Variance34353592
MonotonicityNot monotonic
2023-12-11T12:10:23.618524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3180
48.5%
12916 6
 
0.1%
11639 6
 
0.1%
8587 6
 
0.1%
11775 6
 
0.1%
10796 6
 
0.1%
13127 5
 
0.1%
10465 5
 
0.1%
10540 5
 
0.1%
10580 5
 
0.1%
Other values (2272) 3328
50.7%
ValueCountFrequency (%)
0 3180
48.5%
1642 2
 
< 0.1%
4412 1
 
< 0.1%
4517 1
 
< 0.1%
4617 1
 
< 0.1%
4783 1
 
< 0.1%
4812 1
 
< 0.1%
4831 1
 
< 0.1%
5005 1
 
< 0.1%
5240 1
 
< 0.1%
ValueCountFrequency (%)
17878 1
< 0.1%
17868 1
< 0.1%
17342 1
< 0.1%
17266 1
< 0.1%
17169 1
< 0.1%
16953 1
< 0.1%
16899 2
< 0.1%
16847 2
< 0.1%
16725 2
< 0.1%
16623 2
< 0.1%

성년유지량
Real number (ℝ)

ZEROS 

Distinct510
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.50396
Minimum0
Maximum1241
Zeros3180
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:23.811441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median258
Q3456
95-th percentile593
Maximum1241
Range1241
Interquartile range (IQR)456

Descriptive statistics

Standard deviation240.71604
Coefficient of variation (CV)1.0264903
Kurtosis-1.4823012
Mean234.50396
Median Absolute Deviation (MAD)258
Skewness0.26276177
Sum1537877
Variance57944.211
MonotonicityNot monotonic
2023-12-11T12:10:23.985389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3180
48.5%
463 25
 
0.4%
440 23
 
0.4%
472 21
 
0.3%
416 21
 
0.3%
464 20
 
0.3%
467 20
 
0.3%
457 20
 
0.3%
459 20
 
0.3%
475 20
 
0.3%
Other values (500) 3188
48.6%
ValueCountFrequency (%)
0 3180
48.5%
86 2
 
< 0.1%
162 1
 
< 0.1%
165 2
 
< 0.1%
166 1
 
< 0.1%
167 1
 
< 0.1%
172 1
 
< 0.1%
178 1
 
< 0.1%
179 1
 
< 0.1%
180 1
 
< 0.1%
ValueCountFrequency (%)
1241 1
< 0.1%
1178 1
< 0.1%
933 1
< 0.1%
920 1
< 0.1%
895 2
< 0.1%
884 1
< 0.1%
874 2
< 0.1%
869 1
< 0.1%
830 1
< 0.1%
805 1
< 0.1%

성년유단백량
Real number (ℝ)

ZEROS 

Distinct321
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.96706
Minimum0
Maximum554
Zeros3180
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:24.132759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median249
Q3370.75
95-th percentile447
Maximum554
Range554
Interquartile range (IQR)370.75

Descriptive statistics

Standard deviation188.72517
Coefficient of variation (CV)0.99871993
Kurtosis-1.8025386
Mean188.96706
Median Absolute Deviation (MAD)231
Skewness0.099115041
Sum1239246
Variance35617.191
MonotonicityNot monotonic
2023-12-11T12:10:24.304340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3180
48.5%
347 31
 
0.5%
395 31
 
0.5%
404 30
 
0.5%
364 30
 
0.5%
390 30
 
0.5%
413 29
 
0.4%
351 28
 
0.4%
377 28
 
0.4%
363 28
 
0.4%
Other values (311) 3113
47.5%
ValueCountFrequency (%)
0 3180
48.5%
64 2
 
< 0.1%
113 1
 
< 0.1%
135 1
 
< 0.1%
141 1
 
< 0.1%
154 1
 
< 0.1%
162 1
 
< 0.1%
164 1
 
< 0.1%
171 1
 
< 0.1%
173 1
 
< 0.1%
ValueCountFrequency (%)
554 1
< 0.1%
552 1
< 0.1%
529 1
< 0.1%
522 2
< 0.1%
521 2
< 0.1%
520 1
< 0.1%
518 2
< 0.1%
514 1
< 0.1%
513 1
< 0.1%
512 2
< 0.1%

성년무지고형분량
Real number (ℝ)

ZEROS 

Distinct745
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean521.07136
Minimum0
Maximum1597
Zeros3180
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:24.483292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median672.5
Q31020
95-th percentile1233
Maximum1597
Range1597
Interquartile range (IQR)1020

Descriptive statistics

Standard deviation520.92423
Coefficient of variation (CV)0.99971763
Kurtosis-1.790182
Mean521.07136
Median Absolute Deviation (MAD)670.5
Skewness0.10553683
Sum3417186
Variance271362.05
MonotonicityNot monotonic
2023-12-11T12:10:24.651083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3180
48.5%
944 20
 
0.3%
1014 15
 
0.2%
1005 15
 
0.2%
1059 15
 
0.2%
1093 15
 
0.2%
963 14
 
0.2%
1064 14
 
0.2%
1106 14
 
0.2%
926 14
 
0.2%
Other values (735) 3242
49.4%
ValueCountFrequency (%)
0 3180
48.5%
146 2
 
< 0.1%
361 1
 
< 0.1%
402 1
 
< 0.1%
405 1
 
< 0.1%
407 1
 
< 0.1%
423 1
 
< 0.1%
435 1
 
< 0.1%
441 1
 
< 0.1%
456 1
 
< 0.1%
ValueCountFrequency (%)
1597 1
< 0.1%
1545 1
< 0.1%
1536 1
< 0.1%
1524 1
< 0.1%
1506 1
< 0.1%
1491 1
< 0.1%
1486 1
< 0.1%
1485 1
< 0.1%
1484 1
< 0.1%
1469 1
< 0.1%

전산차비유지속성
Real number (ℝ)

ZEROS 

Distinct532
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.235011
Minimum0
Maximum169.8
Zeros4784
Zeros (%)72.9%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:25.173380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q348.2
95-th percentile91.8
Maximum169.8
Range169.8
Interquartile range (IQR)48.2

Descriptive statistics

Standard deviation34.767333
Coefficient of variation (CV)1.7181772
Kurtosis0.21399991
Mean20.235011
Median Absolute Deviation (MAD)0
Skewness1.3263593
Sum132701.2
Variance1208.7674
MonotonicityNot monotonic
2023-12-11T12:10:25.368596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4784
72.9%
88.2 13
 
0.2%
86.0 12
 
0.2%
82.3 12
 
0.2%
56.7 10
 
0.2%
60.6 10
 
0.2%
66.2 10
 
0.2%
86.4 10
 
0.2%
72.4 10
 
0.2%
85.5 10
 
0.2%
Other values (522) 1677
 
25.6%
ValueCountFrequency (%)
0.0 4784
72.9%
20.5 2
 
< 0.1%
21.8 2
 
< 0.1%
24.5 2
 
< 0.1%
25.4 2
 
< 0.1%
29.4 2
 
< 0.1%
30.1 2
 
< 0.1%
31.4 1
 
< 0.1%
33.1 2
 
< 0.1%
33.7 2
 
< 0.1%
ValueCountFrequency (%)
169.8 2
< 0.1%
169.3 2
< 0.1%
143.4 1
< 0.1%
140.4 2
< 0.1%
128.6 1
< 0.1%
128.0 2
< 0.1%
127.8 1
< 0.1%
127.2 2
< 0.1%
124.6 1
< 0.1%
124.2 2
< 0.1%

현재산차비유지속성
Real number (ℝ)

ZEROS 

Distinct377
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.048155
Minimum0
Maximum188
Zeros5413
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:25.512617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile84.7
Maximum188
Range188
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.438313
Coefficient of variation (CV)2.2561284
Kurtosis2.6527439
Mean13.048155
Median Absolute Deviation (MAD)0
Skewness2.0086978
Sum85569.8
Variance866.61428
MonotonicityNot monotonic
2023-12-11T12:10:25.673102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5413
82.5%
92.4 12
 
0.2%
88.3 11
 
0.2%
71.0 11
 
0.2%
69.9 10
 
0.2%
75.2 10
 
0.2%
81.4 8
 
0.1%
75.6 8
 
0.1%
89.6 8
 
0.1%
65.8 8
 
0.1%
Other values (367) 1059
 
16.1%
ValueCountFrequency (%)
0.0 5413
82.5%
11.8 2
 
< 0.1%
21.6 2
 
< 0.1%
31.4 1
 
< 0.1%
33.5 2
 
< 0.1%
33.7 2
 
< 0.1%
36.5 2
 
< 0.1%
36.6 4
 
0.1%
37.3 1
 
< 0.1%
37.8 1
 
< 0.1%
ValueCountFrequency (%)
188.0 2
< 0.1%
136.4 2
< 0.1%
135.9 2
< 0.1%
134.1 2
< 0.1%
129.8 2
< 0.1%
129.3 2
< 0.1%
127.8 1
< 0.1%
125.5 2
< 0.1%
124.6 1
< 0.1%
121.9 2
< 0.1%

비유최고도달일수
Real number (ℝ)

ZEROS 

Distinct292
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.744129
Minimum0
Maximum602
Zeros2333
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:25.828959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median44
Q385
95-th percentile181
Maximum602
Range602
Interquartile range (IQR)85

Descriptive statistics

Standard deviation68.206435
Coefficient of variation (CV)1.2019999
Kurtosis9.0127481
Mean56.744129
Median Absolute Deviation (MAD)44
Skewness2.275538
Sum372128
Variance4652.1178
MonotonicityNot monotonic
2023-12-11T12:10:25.986420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2333
35.6%
43 66
 
1.0%
37 58
 
0.9%
49 56
 
0.9%
52 56
 
0.9%
60 54
 
0.8%
59 52
 
0.8%
57 52
 
0.8%
56 51
 
0.8%
46 49
 
0.7%
Other values (282) 3731
56.9%
ValueCountFrequency (%)
0 2333
35.6%
1 5
 
0.1%
3 5
 
0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
6 6
 
0.1%
7 2
 
< 0.1%
8 4
 
0.1%
9 11
 
0.2%
10 10
 
0.2%
ValueCountFrequency (%)
602 2
< 0.1%
583 1
 
< 0.1%
572 1
 
< 0.1%
566 2
< 0.1%
553 2
< 0.1%
534 2
< 0.1%
530 1
 
< 0.1%
499 2
< 0.1%
488 3
< 0.1%
476 1
 
< 0.1%

비유후기최고유량
Real number (ℝ)

ZEROS 

Distinct436
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.175465
Minimum0
Maximum74.9
Zeros2374
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:26.158147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median35.1
Q344.9
95-th percentile56.3
Maximum74.9
Range74.9
Interquartile range (IQR)44.9

Descriptive statistics

Standard deviation21.822583
Coefficient of variation (CV)0.80302518
Kurtosis-1.5210493
Mean27.175465
Median Absolute Deviation (MAD)15.3
Skewness-0.21268163
Sum178216.7
Variance476.22512
MonotonicityNot monotonic
2023-12-11T12:10:26.377292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2374
36.2%
43.0 48
 
0.7%
38.0 37
 
0.6%
45.0 35
 
0.5%
41.0 34
 
0.5%
41.4 31
 
0.5%
43.2 30
 
0.5%
50.0 29
 
0.4%
37.6 27
 
0.4%
34.0 27
 
0.4%
Other values (426) 3886
59.3%
ValueCountFrequency (%)
0.0 2374
36.2%
3.9 1
 
< 0.1%
5.9 2
 
< 0.1%
6.8 1
 
< 0.1%
9.8 2
 
< 0.1%
11.5 1
 
< 0.1%
11.7 1
 
< 0.1%
12.9 1
 
< 0.1%
14.0 2
 
< 0.1%
14.4 2
 
< 0.1%
ValueCountFrequency (%)
74.9 4
0.1%
71.0 2
 
< 0.1%
70.6 2
 
< 0.1%
70.3 4
0.1%
70.2 2
 
< 0.1%
69.9 2
 
< 0.1%
69.7 2
 
< 0.1%
69.6 2
 
< 0.1%
67.2 6
0.1%
67.0 2
 
< 0.1%

비유초기평균유지율
Real number (ℝ)

ZEROS 

Distinct452
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4674779
Minimum0
Maximum9.22
Zeros2625
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:26.574267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.32
Q34.21
95-th percentile5.36
Maximum9.22
Range9.22
Interquartile range (IQR)4.21

Descriptive statistics

Standard deviation2.1514796
Coefficient of variation (CV)0.87193472
Kurtosis-1.4655168
Mean2.4674779
Median Absolute Deviation (MAD)1.59
Skewness-0.025671907
Sum16181.72
Variance4.6288646
MonotonicityNot monotonic
2023-12-11T12:10:26.779027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2625
40.0%
4.0 37
 
0.6%
4.09 37
 
0.6%
4.1 35
 
0.5%
3.95 35
 
0.5%
4.12 34
 
0.5%
3.94 34
 
0.5%
4.3 33
 
0.5%
4.18 30
 
0.5%
4.11 29
 
0.4%
Other values (442) 3629
55.3%
ValueCountFrequency (%)
0.0 2625
40.0%
1.44 2
 
< 0.1%
1.53 2
 
< 0.1%
1.54 4
 
0.1%
1.61 2
 
< 0.1%
1.65 1
 
< 0.1%
1.66 4
 
0.1%
1.69 3
 
< 0.1%
1.71 2
 
< 0.1%
1.72 1
 
< 0.1%
ValueCountFrequency (%)
9.22 2
< 0.1%
8.69 1
< 0.1%
8.2 1
< 0.1%
8.11 2
< 0.1%
8.0 2
< 0.1%
7.81 2
< 0.1%
7.8 1
< 0.1%
7.76 1
< 0.1%
7.69 2
< 0.1%
7.52 2
< 0.1%

비유초기평균단백율
Real number (ℝ)

ZEROS 

Distinct181
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8804102
Minimum0
Maximum4.83
Zeros2625
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:26.951772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.87
Q33.17
95-th percentile3.53
Maximum4.83
Range4.83
Interquartile range (IQR)3.17

Descriptive statistics

Standard deviation1.5525658
Coefficient of variation (CV)0.82565274
Kurtosis-1.7910418
Mean1.8804102
Median Absolute Deviation (MAD)0.52
Skewness-0.34201745
Sum12331.73
Variance2.4104606
MonotonicityNot monotonic
2023-12-11T12:10:27.156521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2625
40.0%
3.15 86
 
1.3%
3.09 85
 
1.3%
3.07 85
 
1.3%
2.96 74
 
1.1%
3.12 74
 
1.1%
3.06 72
 
1.1%
3.05 65
 
1.0%
3.17 64
 
1.0%
3.04 64
 
1.0%
Other values (171) 3264
49.8%
ValueCountFrequency (%)
0.0 2625
40.0%
2.13 2
 
< 0.1%
2.25 2
 
< 0.1%
2.27 2
 
< 0.1%
2.29 2
 
< 0.1%
2.31 2
 
< 0.1%
2.34 1
 
< 0.1%
2.39 1
 
< 0.1%
2.4 2
 
< 0.1%
2.41 4
 
0.1%
ValueCountFrequency (%)
4.83 2
< 0.1%
4.51 2
< 0.1%
4.46 1
 
< 0.1%
4.41 3
< 0.1%
4.22 2
< 0.1%
4.21 3
< 0.1%
4.2 2
< 0.1%
4.17 2
< 0.1%
4.13 1
 
< 0.1%
4.12 1
 
< 0.1%

비유초기평균MNU
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9615737
Minimum0
Maximum57
Zeros2623
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:27.325204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q313
95-th percentile19
Maximum57
Range57
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.1374479
Coefficient of variation (CV)0.89648708
Kurtosis-0.92543048
Mean7.9615737
Median Absolute Deviation (MAD)7
Skewness0.17272012
Sum52212
Variance50.943163
MonotonicityNot monotonic
2023-12-11T12:10:27.491111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 2623
40.0%
12 510
 
7.8%
13 482
 
7.3%
11 452
 
6.9%
14 381
 
5.8%
10 342
 
5.2%
15 321
 
4.9%
9 251
 
3.8%
16 237
 
3.6%
17 201
 
3.1%
Other values (22) 758
 
11.6%
ValueCountFrequency (%)
0 2623
40.0%
2 2
 
< 0.1%
3 6
 
0.1%
4 6
 
0.1%
5 9
 
0.1%
6 28
 
0.4%
7 73
 
1.1%
8 154
 
2.3%
9 251
 
3.8%
10 342
 
5.2%
ValueCountFrequency (%)
57 1
 
< 0.1%
32 1
 
< 0.1%
31 1
 
< 0.1%
30 2
 
< 0.1%
29 2
 
< 0.1%
27 8
 
0.1%
26 6
 
0.1%
25 20
0.3%
24 18
0.3%
23 32
0.5%

최고유량체세포
Real number (ℝ)

ZEROS 

Distinct437
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.345532
Minimum0
Maximum9962
Zeros2388
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:27.682528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24
Q371
95-th percentile342
Maximum9962
Range9962
Interquartile range (IQR)71

Descriptive statistics

Standard deviation376.90098
Coefficient of variation (CV)3.9949001
Kurtosis299.17092
Mean94.345532
Median Absolute Deviation (MAD)24
Skewness14.985929
Sum618718
Variance142054.35
MonotonicityNot monotonic
2023-12-11T12:10:27.864797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2388
36.4%
16 86
 
1.3%
19 81
 
1.2%
29 74
 
1.1%
26 74
 
1.1%
24 71
 
1.1%
25 71
 
1.1%
31 70
 
1.1%
18 67
 
1.0%
15 67
 
1.0%
Other values (427) 3509
53.5%
ValueCountFrequency (%)
0 2388
36.4%
1 2
 
< 0.1%
3 4
 
0.1%
4 2
 
< 0.1%
5 4
 
0.1%
6 6
 
0.1%
7 12
 
0.2%
8 23
 
0.4%
9 17
 
0.3%
10 25
 
0.4%
ValueCountFrequency (%)
9962 2
< 0.1%
7611 4
0.1%
7111 2
< 0.1%
5338 2
< 0.1%
4393 2
< 0.1%
3787 2
< 0.1%
3636 1
 
< 0.1%
2696 2
< 0.1%
2564 2
< 0.1%
2404 2
< 0.1%

건유전마지막유량
Real number (ℝ)

ZEROS 

Distinct140
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.288503
Minimum0
Maximum274
Zeros4200
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:28.040756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q353
95-th percentile80
Maximum274
Range274
Interquartile range (IQR)53

Descriptive statistics

Standard deviation35.465682
Coefficient of variation (CV)1.5228837
Kurtosis4.4926936
Mean23.288503
Median Absolute Deviation (MAD)0
Skewness1.7610282
Sum152726
Variance1257.8146
MonotonicityNot monotonic
2023-12-11T12:10:28.195038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4200
64.0%
54 115
 
1.8%
56 109
 
1.7%
60 103
 
1.6%
53 97
 
1.5%
59 95
 
1.4%
58 93
 
1.4%
57 92
 
1.4%
55 86
 
1.3%
52 76
 
1.2%
Other values (130) 1492
 
22.8%
ValueCountFrequency (%)
0 4200
64.0%
7 2
 
< 0.1%
10 2
 
< 0.1%
14 1
 
< 0.1%
20 2
 
< 0.1%
21 7
 
0.1%
22 4
 
0.1%
23 2
 
< 0.1%
24 4
 
0.1%
25 6
 
0.1%
ValueCountFrequency (%)
274 2
< 0.1%
240 4
0.1%
238 2
< 0.1%
231 2
< 0.1%
221 2
< 0.1%
201 2
< 0.1%
199 4
0.1%
198 2
< 0.1%
194 2
< 0.1%
186 2
< 0.1%

전산차건유전유량
Real number (ℝ)

ZEROS 

Distinct342
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5043916
Minimum0
Maximum53.2
Zeros3980
Zeros (%)60.7%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:28.401856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321.5
95-th percentile33.1
Maximum53.2
Range53.2
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.808783
Coefficient of variation (CV)1.34767
Kurtosis-0.75316025
Mean9.5043916
Median Absolute Deviation (MAD)0
Skewness0.86560181
Sum62329.8
Variance164.06493
MonotonicityNot monotonic
2023-12-11T12:10:28.591721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3980
60.7%
25.0 31
 
0.5%
20.5 30
 
0.5%
21.0 30
 
0.5%
24.0 28
 
0.4%
20.0 28
 
0.4%
17.0 24
 
0.4%
23.0 24
 
0.4%
23.2 21
 
0.3%
28.0 21
 
0.3%
Other values (332) 2341
35.7%
ValueCountFrequency (%)
0.0 3980
60.7%
2.4 2
 
< 0.1%
3.8 2
 
< 0.1%
4.0 3
 
< 0.1%
4.1 1
 
< 0.1%
5.8 4
 
0.1%
5.9 2
 
< 0.1%
6.0 2
 
< 0.1%
6.1 2
 
< 0.1%
6.2 4
 
0.1%
ValueCountFrequency (%)
53.2 2
< 0.1%
51.2 2
< 0.1%
50.6 2
< 0.1%
49.7 2
< 0.1%
48.8 1
< 0.1%
48.6 2
< 0.1%
47.8 2
< 0.1%
44.9 2
< 0.1%
44.6 2
< 0.1%
44.5 2
< 0.1%
Distinct3147
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size51.4 KiB
2023-12-11T12:10:28.991206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length11.630833
Min length3

Characters and Unicode

Total characters76275
Distinct characters368
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)0.9%

Sample

1st row수연 미스터 쉽스 질랜드 586호
2nd row수연 스트라우스 제네바 582호
3rd row수연 라코브라 콜버트 576호
4th row수연 론 슈퍼 550호
5th row수연 컨스트럭트 지브스 596호
ValueCountFrequency (%)
봉석 288
 
2.2%
서부 183
 
1.4%
화의 175
 
1.3%
다현 160
 
1.2%
대지 157
 
1.2%
흥천 151
 
1.1%
유밀원 150
 
1.1%
순해 144
 
1.1%
동물 138
 
1.0%
송우 120
 
0.9%
Other values (3837) 11699
87.5%
2023-12-11T12:10:29.619118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6807
 
8.9%
1 3553
 
4.7%
5 3285
 
4.3%
4 3087
 
4.0%
6 2981
 
3.9%
2 2978
 
3.9%
3 2728
 
3.6%
0 2725
 
3.6%
2661
 
3.5%
7 2379
 
3.1%
Other values (358) 43091
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38886
51.0%
Decimal Number 28049
36.8%
Space Separator 6807
 
8.9%
Open Punctuation 698
 
0.9%
Close Punctuation 680
 
0.9%
Connector Punctuation 614
 
0.8%
Dash Punctuation 357
 
0.5%
Uppercase Letter 174
 
0.2%
Other Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2661
 
6.8%
1727
 
4.4%
1117
 
2.9%
1109
 
2.9%
962
 
2.5%
751
 
1.9%
645
 
1.7%
632
 
1.6%
631
 
1.6%
608
 
1.6%
Other values (338) 28043
72.1%
Decimal Number
ValueCountFrequency (%)
1 3553
12.7%
5 3285
11.7%
4 3087
11.0%
6 2981
10.6%
2 2978
10.6%
3 2728
9.7%
0 2725
9.7%
7 2379
8.5%
8 2231
8.0%
9 2102
7.5%
Uppercase Letter
ValueCountFrequency (%)
H 120
69.0%
K 34
 
19.5%
C 10
 
5.7%
R 10
 
5.7%
Space Separator
ValueCountFrequency (%)
6807
100.0%
Open Punctuation
ValueCountFrequency (%)
( 698
100.0%
Close Punctuation
ValueCountFrequency (%)
) 680
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 614
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 357
100.0%
Other Symbol
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38886
51.0%
Common 37215
48.8%
Latin 174
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2661
 
6.8%
1727
 
4.4%
1117
 
2.9%
1109
 
2.9%
962
 
2.5%
751
 
1.9%
645
 
1.7%
632
 
1.6%
631
 
1.6%
608
 
1.6%
Other values (338) 28043
72.1%
Common
ValueCountFrequency (%)
6807
18.3%
1 3553
9.5%
5 3285
8.8%
4 3087
8.3%
6 2981
8.0%
2 2978
8.0%
3 2728
7.3%
0 2725
7.3%
7 2379
 
6.4%
8 2231
 
6.0%
Other values (6) 4461
12.0%
Latin
ValueCountFrequency (%)
H 120
69.0%
K 34
 
19.5%
C 10
 
5.7%
R 10
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38884
51.0%
ASCII 37379
49.0%
Geometric Shapes 10
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6807
18.2%
1 3553
9.5%
5 3285
8.8%
4 3087
8.3%
6 2981
8.0%
2 2978
8.0%
3 2728
7.3%
0 2725
7.3%
7 2379
 
6.4%
8 2231
 
6.0%
Other values (9) 4625
12.4%
Hangul
ValueCountFrequency (%)
2661
 
6.8%
1727
 
4.4%
1117
 
2.9%
1109
 
2.9%
962
 
2.5%
751
 
1.9%
645
 
1.7%
632
 
1.6%
631
 
1.6%
608
 
1.6%
Other values (337) 28041
72.1%
Geometric Shapes
ValueCountFrequency (%)
10
100.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Distinct1689
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size51.4 KiB
2023-12-11T12:10:30.155814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.2236962
Min length1

Characters and Unicode

Total characters21141
Distinct characters17
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)0.3%

Sample

1st row586
2nd row582
3rd row576
4th row550
5th row596
ValueCountFrequency (%)
24 18
 
0.3%
35 15
 
0.2%
499 14
 
0.2%
561 14
 
0.2%
565 14
 
0.2%
612 14
 
0.2%
34 14
 
0.2%
9 14
 
0.2%
1 14
 
0.2%
8 13
 
0.2%
Other values (1679) 6414
97.8%
2023-12-11T12:10:30.735934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2905
13.7%
5 2488
11.8%
4 2362
11.2%
6 2197
10.4%
2 2118
10.0%
3 2075
9.8%
8 1783
8.4%
7 1764
8.3%
0 1601
7.6%
9 1544
7.3%
Other values (7) 304
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20837
98.6%
Dash Punctuation 134
 
0.6%
Open Punctuation 77
 
0.4%
Close Punctuation 69
 
0.3%
Uppercase Letter 16
 
0.1%
Control 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2905
13.9%
5 2488
11.9%
4 2362
11.3%
6 2197
10.5%
2 2118
10.2%
3 2075
10.0%
8 1783
8.6%
7 1764
8.5%
0 1601
7.7%
9 1544
7.4%
Uppercase Letter
ValueCountFrequency (%)
R 8
50.0%
C 8
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Control
ValueCountFrequency (%)
 4
100.0%
Other Punctuation
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21125
99.9%
Latin 16
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2905
13.8%
5 2488
11.8%
4 2362
11.2%
6 2197
10.4%
2 2118
10.0%
3 2075
9.8%
8 1783
8.4%
7 1764
8.4%
0 1601
7.6%
9 1544
7.3%
Other values (5) 288
 
1.4%
Latin
ValueCountFrequency (%)
R 8
50.0%
C 8
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21137
> 99.9%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2905
13.7%
5 2488
11.8%
4 2362
11.2%
6 2197
10.4%
2 2118
10.0%
3 2075
9.8%
8 1783
8.4%
7 1764
8.3%
0 1601
7.6%
9 1544
7.3%
Other values (6) 300
 
1.4%
None
ValueCountFrequency (%)
4
100.0%

출생일자
Real number (ℝ)

Distinct1787
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20173534
Minimum20060308
Maximum20210214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:30.926695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060308
5-th percentile20131021
Q120160904
median20180318
Q320190529
95-th percentile20200724
Maximum20210214
Range149906
Interquartile range (IQR)29625

Descriptive statistics

Standard deviation20922.559
Coefficient of variation (CV)0.0010371291
Kurtosis1.3371319
Mean20173534
Median Absolute Deviation (MAD)10491.5
Skewness-1.0434199
Sum1.3229803 × 1011
Variance4.3775349 × 108
MonotonicityNot monotonic
2023-12-11T12:10:31.160280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181006 16
 
0.2%
20190805 16
 
0.2%
20180815 14
 
0.2%
20181025 14
 
0.2%
20190710 14
 
0.2%
20180830 14
 
0.2%
20171006 14
 
0.2%
20180710 12
 
0.2%
20200727 12
 
0.2%
20180718 12
 
0.2%
Other values (1777) 6420
97.9%
ValueCountFrequency (%)
20060308 2
< 0.1%
20071210 2
< 0.1%
20080102 2
< 0.1%
20080315 2
< 0.1%
20090101 2
< 0.1%
20090314 2
< 0.1%
20090317 2
< 0.1%
20090414 2
< 0.1%
20090418 2
< 0.1%
20090612 2
< 0.1%
ValueCountFrequency (%)
20210214 1
 
< 0.1%
20210130 1
 
< 0.1%
20210110 2
< 0.1%
20210106 2
< 0.1%
20210105 2
< 0.1%
20210104 1
 
< 0.1%
20210101 3
< 0.1%
20201231 2
< 0.1%
20201228 1
 
< 0.1%
20201227 2
< 0.1%

산차
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4813968
Minimum0
Maximum9
Zeros2346
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:31.365306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6142963
Coefficient of variation (CV)1.0897123
Kurtosis1.5046678
Mean1.4813968
Median Absolute Deviation (MAD)1
Skewness1.2594604
Sum9715
Variance2.6059525
MonotonicityNot monotonic
2023-12-11T12:10:31.854481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 2346
35.8%
1 1608
24.5%
2 1148
17.5%
3 651
 
9.9%
4 417
 
6.4%
5 242
 
3.7%
6 79
 
1.2%
7 38
 
0.6%
8 21
 
0.3%
9 8
 
0.1%
ValueCountFrequency (%)
0 2346
35.8%
1 1608
24.5%
2 1148
17.5%
3 651
 
9.9%
4 417
 
6.4%
5 242
 
3.7%
6 79
 
1.2%
7 38
 
0.6%
8 21
 
0.3%
9 8
 
0.1%
ValueCountFrequency (%)
9 8
 
0.1%
8 21
 
0.3%
7 38
 
0.6%
6 79
 
1.2%
5 242
 
3.7%
4 417
 
6.4%
3 651
 
9.9%
2 1148
17.5%
1 1608
24.5%
0 2346
35.8%

최근분만일(연계)
Real number (ℝ)

MISSING 

Distinct597
Distinct (%)14.2%
Missing2346
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean20199899
Minimum20170607
Maximum20210225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:32.019538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170607
5-th percentile20190904
Q120200302
median20200724
Q320201025
95-th percentile20210109
Maximum20210225
Range39618
Interquartile range (IQR)723.25

Descriptive statistics

Standard deviation4611.9171
Coefficient of variation (CV)0.00022831386
Kurtosis2.938493
Mean20199899
Median Absolute Deviation (MAD)389
Skewness-0.76157886
Sum8.5081976 × 1010
Variance21269779
MonotonicityNot monotonic
2023-12-11T12:10:32.206399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201204 30
 
0.5%
20201020 28
 
0.4%
20201220 25
 
0.4%
20200807 24
 
0.4%
20201009 24
 
0.4%
20201101 24
 
0.4%
20201122 23
 
0.4%
20201211 23
 
0.4%
20200717 22
 
0.3%
20200626 22
 
0.3%
Other values (587) 3967
60.5%
(Missing) 2346
35.8%
ValueCountFrequency (%)
20170607 2
< 0.1%
20180126 2
< 0.1%
20181008 2
< 0.1%
20181013 2
< 0.1%
20181022 2
< 0.1%
20181119 2
< 0.1%
20181124 2
< 0.1%
20181128 2
< 0.1%
20181129 2
< 0.1%
20181130 2
< 0.1%
ValueCountFrequency (%)
20210225 1
 
< 0.1%
20210224 2
< 0.1%
20210223 2
< 0.1%
20210222 1
 
< 0.1%
20210221 2
< 0.1%
20210220 3
< 0.1%
20210219 3
< 0.1%
20210218 2
< 0.1%
20210217 1
 
< 0.1%
20210216 4
0.1%

최근건유일(연계)
Real number (ℝ)

MISSING 

Distinct146
Distinct (%)22.3%
Missing5902
Missing (%)90.0%
Infinite0
Infinite (%)0.0%
Mean20205835
Minimum20190702
Maximum20210315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:32.403343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20190702
5-th percentile20200901
Q120201130
median20210105
Q320210130
95-th percentile20210225
Maximum20210315
Range19613
Interquartile range (IQR)9000.25

Descriptive statistics

Standard deviation4797.4134
Coefficient of variation (CV)0.00023742713
Kurtosis-1.008613
Mean20205835
Median Absolute Deviation (MAD)120
Skewness-0.42426226
Sum1.3255028 × 1010
Variance23015175
MonotonicityNot monotonic
2023-12-11T12:10:32.618610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210110 18
 
0.3%
20210218 16
 
0.2%
20201225 15
 
0.2%
20210225 14
 
0.2%
20201031 13
 
0.2%
20210124 12
 
0.2%
20210210 12
 
0.2%
20210115 12
 
0.2%
20210117 12
 
0.2%
20210203 12
 
0.2%
Other values (136) 520
 
7.9%
(Missing) 5902
90.0%
ValueCountFrequency (%)
20190702 2
 
< 0.1%
20190721 2
 
< 0.1%
20190722 2
 
< 0.1%
20190827 2
 
< 0.1%
20200110 2
 
< 0.1%
20200502 1
 
< 0.1%
20200503 1
 
< 0.1%
20200530 6
0.1%
20200605 2
 
< 0.1%
20200615 2
 
< 0.1%
ValueCountFrequency (%)
20210315 2
 
< 0.1%
20210306 2
 
< 0.1%
20210302 2
 
< 0.1%
20210301 6
0.1%
20210228 6
0.1%
20210227 2
 
< 0.1%
20210225 14
0.2%
20210224 2
 
< 0.1%
20210223 4
 
0.1%
20210222 4
 
0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.4 KiB
<NA>
3591 
1
2787 
2
 
180

Length

Max length4
Median length4
Mean length2.6427264
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 3591
54.8%
1 2787
42.5%
2 180
 
2.7%

Length

2023-12-11T12:10:32.824362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:10:32.979822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3591
54.8%
1 2787
42.5%
2 180
 
2.7%

가수제코드(연계)
Real number (ℝ)

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.351937
Minimum11
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:33.105782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12
Q181
median82
Q399
95-th percentile99
Maximum99
Range88
Interquartile range (IQR)18

Descriptive statistics

Standard deviation22.304805
Coefficient of variation (CV)0.27084736
Kurtosis4.9436331
Mean82.351937
Median Absolute Deviation (MAD)1
Skewness-2.3498321
Sum540064
Variance497.50431
MonotonicityNot monotonic
2023-12-11T12:10:33.253519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
99 2346
35.8%
82 1790
27.3%
81 1620
24.7%
12 490
 
7.5%
87 155
 
2.4%
88 47
 
0.7%
21 42
 
0.6%
84 27
 
0.4%
85 22
 
0.3%
83 15
 
0.2%
ValueCountFrequency (%)
11 4
 
0.1%
12 490
 
7.5%
21 42
 
0.6%
81 1620
24.7%
82 1790
27.3%
83 15
 
0.2%
84 27
 
0.4%
85 22
 
0.3%
87 155
 
2.4%
88 47
 
0.7%
ValueCountFrequency (%)
99 2346
35.8%
88 47
 
0.7%
87 155
 
2.4%
85 22
 
0.3%
84 27
 
0.4%
83 15
 
0.2%
82 1790
27.3%
81 1620
24.7%
21 42
 
0.6%
12 490
 
7.5%

가수제일자(연계)
Real number (ℝ)

MISSING 

Distinct541
Distinct (%)12.8%
Missing2346
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean20201055
Minimum20181129
Maximum20210225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:33.429816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181129
5-th percentile20191118
Q120200529
median20200903
Q320201125
95-th percentile20210122
Maximum20210225
Range29096
Interquartile range (IQR)596.25

Descriptive statistics

Standard deviation4247.9422
Coefficient of variation (CV)0.00021028318
Kurtosis2.3877273
Mean20201055
Median Absolute Deviation (MAD)298
Skewness-0.067962613
Sum8.5086845 × 1010
Variance18045013
MonotonicityNot monotonic
2023-12-11T12:10:33.665685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201220 34
 
0.5%
20201204 32
 
0.5%
20201020 30
 
0.5%
20201122 28
 
0.4%
20201101 26
 
0.4%
20201110 26
 
0.4%
20201009 25
 
0.4%
20201026 25
 
0.4%
20201227 25
 
0.4%
20210110 25
 
0.4%
Other values (531) 3936
60.0%
(Missing) 2346
35.8%
ValueCountFrequency (%)
20181129 2
< 0.1%
20181220 2
< 0.1%
20190119 2
< 0.1%
20190131 2
< 0.1%
20190207 1
< 0.1%
20190225 2
< 0.1%
20190410 1
< 0.1%
20190414 1
< 0.1%
20190421 1
< 0.1%
20190518 2
< 0.1%
ValueCountFrequency (%)
20210225 3
< 0.1%
20210224 3
< 0.1%
20210223 4
0.1%
20210222 3
< 0.1%
20210221 2
 
< 0.1%
20210220 7
0.1%
20210219 3
< 0.1%
20210218 3
< 0.1%
20210217 3
< 0.1%
20210216 5
0.1%

농후사료비(연계)
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean685.25923
Minimum0
Maximum8400
Zeros5488
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:33.860924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5300
Maximum8400
Range8400
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1781.691
Coefficient of variation (CV)2.6000249
Kurtosis6.1025704
Mean685.25923
Median Absolute Deviation (MAD)0
Skewness2.6819591
Sum4493930
Variance3174423
MonotonicityNot monotonic
2023-12-11T12:10:34.012153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 5488
83.7%
2600 303
 
4.6%
6720 196
 
3.0%
5300 184
 
2.8%
520 43
 
0.7%
7200 38
 
0.6%
2508 34
 
0.5%
8400 34
 
0.5%
6600 34
 
0.5%
2052 27
 
0.4%
Other values (22) 177
 
2.7%
ValueCountFrequency (%)
0 5488
83.7%
100 2
 
< 0.1%
520 43
 
0.7%
912 1
 
< 0.1%
1140 10
 
0.2%
1368 5
 
0.1%
1596 18
 
0.3%
1680 17
 
0.3%
1700 2
 
< 0.1%
1720 21
 
0.3%
ValueCountFrequency (%)
8400 34
 
0.5%
7200 38
 
0.6%
6720 196
3.0%
6600 34
 
0.5%
6000 23
 
0.4%
5360 2
 
< 0.1%
5300 184
2.8%
4800 1
 
< 0.1%
4160 1
 
< 0.1%
4104 2
 
< 0.1%

농후사료급여량(연계)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1585087
Minimum0
Maximum14
Zeros4983
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:34.131687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile10
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1114187
Coefficient of variation (CV)1.9047497
Kurtosis1.1012019
Mean2.1585087
Median Absolute Deviation (MAD)0
Skewness1.6138968
Sum14155.5
Variance16.903764
MonotonicityNot monotonic
2023-12-11T12:10:34.342385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 4983
76.0%
10.0 513
 
7.8%
8.0 432
 
6.6%
14.0 230
 
3.5%
5.0 62
 
0.9%
4.0 46
 
0.7%
2.0 44
 
0.7%
6.0 44
 
0.7%
12.0 38
 
0.6%
5.5 35
 
0.5%
Other values (8) 131
 
2.0%
ValueCountFrequency (%)
0.0 4983
76.0%
2.0 44
 
0.7%
2.5 10
 
0.2%
3.0 5
 
0.1%
3.5 18
 
0.3%
4.0 46
 
0.7%
4.5 27
 
0.4%
5.0 62
 
0.9%
5.5 35
 
0.5%
6.0 44
 
0.7%
ValueCountFrequency (%)
14.0 230
3.5%
12.0 38
 
0.6%
11.0 34
 
0.5%
10.0 513
7.8%
9.0 4
 
0.1%
8.0 432
6.6%
7.0 12
 
0.2%
6.5 21
 
0.3%
6.0 44
 
0.7%
5.5 35
 
0.5%

공태일수
Real number (ℝ)

ZEROS 

Distinct347
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.907899
Minimum0
Maximum705
Zeros4470
Zeros (%)68.2%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:34.497533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q380
95-th percentile282
Maximum705
Range705
Interquartile range (IQR)80

Descriptive statistics

Standard deviation102.51163
Coefficient of variation (CV)1.8669742
Kurtosis5.8631206
Mean54.907899
Median Absolute Deviation (MAD)0
Skewness2.2958155
Sum360086
Variance10508.635
MonotonicityNot monotonic
2023-12-11T12:10:34.667072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4470
68.2%
85 19
 
0.3%
148 18
 
0.3%
90 18
 
0.3%
116 18
 
0.3%
56 18
 
0.3%
68 17
 
0.3%
63 17
 
0.3%
59 16
 
0.2%
62 16
 
0.2%
Other values (337) 1931
29.4%
ValueCountFrequency (%)
0 4470
68.2%
15 2
 
< 0.1%
28 4
 
0.1%
29 4
 
0.1%
34 4
 
0.1%
35 9
 
0.1%
37 6
 
0.1%
38 4
 
0.1%
39 2
 
< 0.1%
40 6
 
0.1%
ValueCountFrequency (%)
705 2
< 0.1%
654 4
0.1%
641 2
< 0.1%
632 2
< 0.1%
607 2
< 0.1%
602 2
< 0.1%
592 2
< 0.1%
588 2
< 0.1%
581 2
< 0.1%
552 2
< 0.1%

최종수정일자(연계)
Real number (ℝ)

MISSING 

Distinct391
Distinct (%)8.6%
Missing1993
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean20203890
Minimum20140516
Maximum20210315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:34.827036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20140516
5-th percentile20200502
Q120200817
median20201115
Q320210119
95-th percentile20210221
Maximum20210315
Range69799
Interquartile range (IQR)9302

Descriptive statistics

Standard deviation5260.0343
Coefficient of variation (CV)0.0002603476
Kurtosis26.268439
Mean20203890
Median Absolute Deviation (MAD)491
Skewness-2.2413949
Sum9.2230759 × 1010
Variance27667960
MonotonicityNot monotonic
2023-12-11T12:10:34.991467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210201 64
 
1.0%
20210104 56
 
0.9%
20210205 53
 
0.8%
20210204 50
 
0.8%
20210114 42
 
0.6%
20210115 40
 
0.6%
20210126 38
 
0.6%
20210218 37
 
0.6%
20210206 36
 
0.5%
20210128 36
 
0.5%
Other values (381) 4113
62.7%
(Missing) 1993
30.4%
ValueCountFrequency (%)
20140516 2
< 0.1%
20141024 2
< 0.1%
20150319 2
< 0.1%
20150810 2
< 0.1%
20181009 4
0.1%
20181104 2
< 0.1%
20181210 2
< 0.1%
20181212 2
< 0.1%
20190117 2
< 0.1%
20190228 2
< 0.1%
ValueCountFrequency (%)
20210315 8
0.1%
20210314 4
 
0.1%
20210313 2
 
< 0.1%
20210312 4
 
0.1%
20210311 2
 
< 0.1%
20210309 10
0.2%
20210308 6
0.1%
20210307 7
0.1%
20210306 4
 
0.1%
20210305 5
0.1%

최종수정횟수(연계)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)0.3%
Missing1993
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean2.4560789
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:35.151875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum14
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9256812
Coefficient of variation (CV)0.78404696
Kurtosis5.3273919
Mean2.4560789
Median Absolute Deviation (MAD)1
Skewness2.0378391
Sum11212
Variance3.708248
MonotonicityNot monotonic
2023-12-11T12:10:35.312305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 1891
28.8%
2 1090
16.6%
3 643
 
9.8%
4 376
 
5.7%
5 218
 
3.3%
6 137
 
2.1%
7 84
 
1.3%
8 41
 
0.6%
9 31
 
0.5%
11 22
 
0.3%
Other values (4) 32
 
0.5%
(Missing) 1993
30.4%
ValueCountFrequency (%)
1 1891
28.8%
2 1090
16.6%
3 643
 
9.8%
4 376
 
5.7%
5 218
 
3.3%
6 137
 
2.1%
7 84
 
1.3%
8 41
 
0.6%
9 31
 
0.5%
10 20
 
0.3%
ValueCountFrequency (%)
14 5
 
0.1%
13 5
 
0.1%
12 2
 
< 0.1%
11 22
 
0.3%
10 20
 
0.3%
9 31
 
0.5%
8 41
 
0.6%
7 84
 
1.3%
6 137
2.1%
5 218
3.3%
Distinct166
Distinct (%)3.6%
Missing1993
Missing (%)30.4%
Memory size51.4 KiB
2023-12-11T12:10:35.639400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.2970427
Min length3

Characters and Unicode

Total characters42441
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.2%

Sample

1st row551HO03379
2nd row200HO06480
3rd row14HO07770
4th row151HO00681
5th row11HO12209
ValueCountFrequency (%)
151ho01611 245
 
5.4%
250ho14579 216
 
4.7%
250ho12961 181
 
4.0%
7ho12788 148
 
3.2%
14ho07770 141
 
3.1%
200ho10641 136
 
3.0%
208ho00346 131
 
2.9%
11ho12209 122
 
2.7%
200ho03910 116
 
2.5%
11ho11380 115
 
2.5%
Other values (156) 3014
66.0%
2023-12-11T12:10:36.156026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7640
18.0%
1 6639
15.6%
2 4449
10.5%
H 4444
10.5%
O 4444
10.5%
7 2695
 
6.3%
3 2356
 
5.6%
8 2209
 
5.2%
5 2167
 
5.1%
4 1793
 
4.2%
Other values (14) 3605
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33114
78.0%
Uppercase Letter 9051
 
21.3%
Lowercase Letter 90
 
0.2%
Control 69
 
0.2%
Other Punctuation 69
 
0.2%
Other Symbol 48
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7640
23.1%
1 6639
20.0%
2 4449
13.4%
7 2695
 
8.1%
3 2356
 
7.1%
8 2209
 
6.7%
5 2167
 
6.5%
4 1793
 
5.4%
9 1675
 
5.1%
6 1491
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
H 4444
49.1%
O 4444
49.1%
K 42
 
0.5%
P 42
 
0.5%
N 42
 
0.5%
U 21
 
0.2%
J 8
 
0.1%
E 8
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 69
76.7%
x 21
 
23.3%
Other Punctuation
ValueCountFrequency (%)
\ 48
69.6%
21
30.4%
Control
ValueCountFrequency (%)
 69
100.0%
Other Symbol
ValueCountFrequency (%)
° 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33300
78.5%
Latin 9141
 
21.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7640
22.9%
1 6639
19.9%
2 4449
13.4%
7 2695
 
8.1%
3 2356
 
7.1%
8 2209
 
6.6%
5 2167
 
6.5%
4 1793
 
5.4%
9 1675
 
5.0%
6 1491
 
4.5%
Other values (4) 186
 
0.6%
Latin
ValueCountFrequency (%)
H 4444
48.6%
O 4444
48.6%
a 69
 
0.8%
K 42
 
0.5%
P 42
 
0.5%
N 42
 
0.5%
U 21
 
0.2%
x 21
 
0.2%
J 8
 
0.1%
E 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42372
99.8%
None 69
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7640
18.0%
1 6639
15.7%
2 4449
10.5%
H 4444
10.5%
O 4444
10.5%
7 2695
 
6.4%
3 2356
 
5.6%
8 2209
 
5.2%
5 2167
 
5.1%
4 1793
 
4.2%
Other values (12) 3536
8.3%
None
ValueCountFrequency (%)
° 48
69.6%
21
30.4%

체점수(연계)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size51.4 KiB
<NA>
6341 
2.5
 
121
3.0
 
58
2.0
 
33
2.75
 
5

Length

Max length4
Median length4
Mean length3.9676731
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 6341
96.7%
2.5 121
 
1.8%
3.0 58
 
0.9%
2.0 33
 
0.5%
2.75 5
 
0.1%

Length

2023-12-11T12:10:36.340116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:10:36.488151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6341
96.7%
2.5 121
 
1.8%
3.0 58
 
0.9%
2.0 33
 
0.5%
2.75 5
 
0.1%

분만후첫수정일까지일수
Real number (ℝ)

MISSING 

Distinct216
Distinct (%)6.2%
Missing3073
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean87.721951
Minimum1
Maximum538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:36.658055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile37
Q157
median74
Q3106
95-th percentile179
Maximum538
Range537
Interquartile range (IQR)49

Descriptive statistics

Standard deviation47.707928
Coefficient of variation (CV)0.54385393
Kurtosis7.7294916
Mean87.721951
Median Absolute Deviation (MAD)22
Skewness2.0468921
Sum305711
Variance2276.0464
MonotonicityNot monotonic
2023-12-11T12:10:36.872592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 72
 
1.1%
57 67
 
1.0%
61 65
 
1.0%
64 62
 
0.9%
59 59
 
0.9%
55 55
 
0.8%
73 55
 
0.8%
58 55
 
0.8%
47 54
 
0.8%
60 53
 
0.8%
Other values (206) 2888
44.0%
(Missing) 3073
46.9%
ValueCountFrequency (%)
1 4
0.1%
11 2
 
< 0.1%
15 2
 
< 0.1%
16 2
 
< 0.1%
17 2
 
< 0.1%
21 4
0.1%
23 4
0.1%
24 4
0.1%
25 4
0.1%
26 8
0.1%
ValueCountFrequency (%)
538 2
< 0.1%
355 2
< 0.1%
321 4
0.1%
317 2
< 0.1%
306 2
< 0.1%
305 2
< 0.1%
297 2
< 0.1%
279 2
< 0.1%
274 2
< 0.1%
271 2
< 0.1%

데이터입력코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.4 KiB
S04303
6558 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowS04303
2nd rowS04303
3rd rowS04303
4th rowS04303
5th rowS04303

Common Values

ValueCountFrequency (%)
S04303 6558
100.0%

Length

2023-12-11T12:10:37.048876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:10:37.166517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
s04303 6558
100.0%

유량
Real number (ℝ)

Distinct6261
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15667522
Minimum14232520
Maximum16457715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.8 KiB
2023-12-11T12:10:37.292784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14232520
5-th percentile14959749
Q115052684
median15894086
Q316012739
95-th percentile16260727
Maximum16457715
Range2225195
Interquartile range (IQR)960054.5

Descriptive statistics

Standard deviation517820.62
Coefficient of variation (CV)0.033050576
Kurtosis-0.53338034
Mean15667522
Median Absolute Deviation (MAD)144828
Skewness-0.74673879
Sum1.0274761 × 1011
Variance2.6813819 × 1011
MonotonicityNot monotonic
2023-12-11T12:10:37.502090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16238635 2
 
< 0.1%
16238451 2
 
< 0.1%
16238548 2
 
< 0.1%
16238598 2
 
< 0.1%
16238609 2
 
< 0.1%
16238564 2
 
< 0.1%
16238608 2
 
< 0.1%
16238654 2
 
< 0.1%
16238600 2
 
< 0.1%
16238623 2
 
< 0.1%
Other values (6251) 6538
99.7%
ValueCountFrequency (%)
14232520 1
< 0.1%
14232521 1
< 0.1%
14232522 1
< 0.1%
14232523 1
< 0.1%
14232524 1
< 0.1%
14232525 1
< 0.1%
14232526 1
< 0.1%
14232528 1
< 0.1%
14232529 1
< 0.1%
14232530 1
< 0.1%
ValueCountFrequency (%)
16457715 1
< 0.1%
16457714 1
< 0.1%
16457713 1
< 0.1%
16457712 1
< 0.1%
16457711 1
< 0.1%
16457710 1
< 0.1%
16457709 1
< 0.1%
16457708 1
< 0.1%
16457707 1
< 0.1%
16457706 1
< 0.1%

유성분검사일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6558
Missing (%)100.0%
Memory size57.8 KiB

검정일시(ICT)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6558
Missing (%)100.0%
Memory size57.8 KiB

단백율
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6558
Missing (%)100.0%
Memory size57.8 KiB

고형율
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6558
Missing (%)100.0%
Memory size57.8 KiB

유당
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing6558
Missing (%)100.0%
Memory size57.8 KiB

Sample

농장아이디착유일련번호개체번호혈통번호검정일자누적착유일(연계)유지방율유단백무지고형분체세포수우유내요소태질소305일유량305일유지량305일유단백305일무지고형분성년유량성년유지량성년유단백량성년무지고형분량전산차비유지속성현재산차비유지속성비유최고도달일수비유후기최고유량비유초기평균유지율비유초기평균단백율비유초기평균MNU최고유량체세포건유전마지막유량전산차건유전유량개체명농장관리번호출생일자산차최근분만일(연계)최근건유일(연계)분만나이(연계)가수제코드(연계)가수제일자(연계)농후사료비(연계)농후사료급여량(연계)공태일수최종수정일자(연계)최종수정횟수(연계)최종수정정액코드(연계)체점수(연계)분만후첫수정일까지일수데이터입력코드유량유성분검사일련번호검정일시(ICT)단백율고형율유당
020249<NA>20120709020022<NA>20210113415.352.418.032716.4000000000.00.04150.05.532.53102724038.8수연 미스터 쉽스 질랜드 586호58620120709720201203<NA>1822020120300.00<NA><NA><NA><NA><NA>S0430315071983<NA><NA><NA><NA><NA>
120249<NA>20120626020043<NA>202101133254.153.218.574513.417130724498142016899719490138650.366.98064.00.00.00536909.4수연 스트라우스 제네바 582호58220120626520200223<NA>1812020022300.00202101195551HO03379<NA>132S0430315071975<NA><NA><NA><NA><NA>
220249<NA>20120504020095<NA>202101134110.00.00.000.011790621408107211809611402104868.872.72146.36.733.0422504722.6수연 라코브라 콜버트 576호57620120504520191120202101041122021010400.0175202005134200HO06480<NA>64S0430315071847<NA><NA><NA><NA><NA>
320249<NA>20111008020210<NA>202101134160.00.00.000.01115046734098312190500358104454.171.811545.04.633.01151062724.5수연 론 슈퍼 550호55020111002520190918202011071122020110700.021520200420514HO07770<NA>50S0430315071883<NA><NA><NA><NA><NA>
420249<NA>20121014020049<NA>202101131634.563.349.09188813.412256559382107213501604400113064.00.010857.63.93.01162898115.0수연 컨스트럭트 지브스 596호59620121014620200803<NA>1812020080300.0135202012163151HO00681<NA>89S0430315071940<NA><NA><NA><NA><NA>
520249<NA>20130812020216<NA>20210113335.02.788.677016.20000000080.60.03352.85.623.6614704330.6수연 라아크 게임데이 617호-쌍자61720130723520201211<NA>1872020121100.00<NA><NA><NA><NA><NA>S0430315071875<NA><NA><NA><NA><NA>
620249<NA>20131112020032<NA>202101133845.183.929.55313.413344692415116412916670397110657.80.04849.96.12.8924224121.6수연 그랜드 도르시 628호62820131112520191226202101231822019122600.025620200907511HO12209<NA>1S0430315071888<NA><NA><NA><NA><NA>
720249<NA>20131219020173<NA>202101131504.582.939.01215.51393968938812001510073640412600.00.019059.04.832.781995323.1수연 그랜드 지 더블유 앳우드 632호63220131219420200816<NA>1812020081600.00202102133551HO03379<NA>73S0430315071949<NA><NA><NA><NA><NA>
820249<NA>20140123020155<NA>202101134114.333.628.7632917.314190748448125813989729439122657.581.44351.55.923.13213313512.0수연 메이플 길레스파이 636호63620140123420191129202102041822019112900.024720200802714HO07770<NA>89S0430315071854<NA><NA><NA><NA><NA>
920249<NA>20140527020195<NA>202101134335.273.58.7527914.014790707450128214573690442125682.6114.018856.95.543.0523585922.4밀키웨이 볼리버 가보 648호64820140527420191107<NA>1822019110700.00202102048151HO00681<NA>240S0430315071912<NA><NA><NA><NA><NA>
농장아이디착유일련번호개체번호혈통번호검정일자누적착유일(연계)유지방율유단백무지고형분체세포수우유내요소태질소305일유량305일유지량305일유단백305일무지고형분성년유량성년유지량성년유단백량성년무지고형분량전산차비유지속성현재산차비유지속성비유최고도달일수비유후기최고유량비유초기평균유지율비유초기평균단백율비유초기평균MNU최고유량체세포건유전마지막유량전산차건유전유량개체명농장관리번호출생일자산차최근분만일(연계)최근건유일(연계)분만나이(연계)가수제코드(연계)가수제일자(연계)농후사료비(연계)농후사료급여량(연계)공태일수최종수정일자(연계)최종수정횟수(연계)최종수정정액코드(연계)체점수(연계)분만후첫수정일까지일수데이터입력코드유량유성분검사일련번호검정일시(ICT)단백율고형율유당
654821278<NA>20200700000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈421호421202007060<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247505<NA><NA><NA><NA><NA>
654921278<NA>20200700000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈422호422202007190<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247495<NA><NA><NA><NA><NA>
655021278<NA>20200700000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈423호423202007240<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247563<NA><NA><NA><NA><NA>
655121278<NA>20200800000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈424호424202008170<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247504<NA><NA><NA><NA><NA>
655221278<NA>20200800000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈425호425202008250<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247564<NA><NA><NA><NA><NA>
655321278<NA>20201000000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈426호426202010050<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247536<NA><NA><NA><NA><NA>
655421278<NA>20201000000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈427호427202010270<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247501<NA><NA><NA><NA><NA>
655521278<NA>20201100000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈428호428202011100<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247497<NA><NA><NA><NA><NA>
655621278<NA>20201100000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈429호429202011180<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247546<NA><NA><NA><NA><NA>
655721278<NA>20201100000000<NA>2021021500.00.00.000.0000000000.00.000.00.00.00000.0송갈430호430202011190<NA><NA><NA>99<NA>00.00<NA><NA><NA><NA><NA>S0430316247512<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

농장아이디개체번호검정일자누적착유일(연계)유지방율유단백무지고형분체세포수우유내요소태질소305일유량305일유지량305일유단백305일무지고형분성년유량성년유지량성년유단백량성년무지고형분량전산차비유지속성현재산차비유지속성비유최고도달일수비유후기최고유량비유초기평균유지율비유초기평균단백율비유초기평균MNU최고유량체세포건유전마지막유량전산차건유전유량개체명농장관리번호출생일자산차최근분만일(연계)최근건유일(연계)분만나이(연계)가수제코드(연계)가수제일자(연계)농후사료비(연계)농후사료급여량(연계)공태일수최종수정일자(연계)최종수정횟수(연계)최종수정정액코드(연계)체점수(연계)분만후첫수정일까지일수데이터입력코드유량# duplicates
0202632016100000000020210116485.32.748.781736.80000000075.10.04856.85.32.7471736032.6평자연리틀락알타셀렙42442420161027220201129<NA>1812020112900.0020210204114HO07770<NA>68S04303149595972
1202632016100000000020210221843.713.249.23767.114383717418127814340714422129475.10.04856.85.32.7471736032.6평자연리틀락알타셀렙42442420161027220201129<NA>1812020112900.0020210204114HO07770<NA>68S04303149596902
2202702015100000000020210125203.442.948.422711.90000000066.70.05344.62.652.9513285815.9송우 3071호307120151002320210105<NA><NA>822021010500.00<NA><NA><NA><NA><NA>S04303158341862
3202702015100000000020210227531.852.958.352814.80000000066.70.05344.62.652.9513285815.9송우 3071호307120151002320210105<NA><NA>822021010500.00<NA><NA><NA><NA><NA>S04303158342222
420270201607000000002021012500.00.00.000.0000000000.00.000.00.00.00000.0송우 6178호6178201607180<NA><NA><NA>99<NA>00.00201810091208HO10212<NA><NA>S04303158341912
52027020160700000000202101253554.984.079.67100413.2849333829175184293413017800.00.011233.37.392.67139700.0송우 1042호104220160718120200205<NA><NA>812020020500.0259202010214208HO00340<NA>79S04303158341772
620270201607000000002021022700.00.00.000.0000000000.00.000.00.00.00000.0송우 6178호6178201607180<NA><NA><NA>99<NA>00.00201810091208HO10212<NA><NA>S04303158342272
72027020160700000000202102273885.04.39.7722316.4849333829175184293413017800.00.011233.37.392.67139700.0송우 1042호104220160718120200205<NA><NA>812020020500.0259202010214208HO00340<NA>79S04303158342132
8202702016100000000020210125521.933.088.792369.600000000107.60.05240.93.853.09122365226.9송우 1045호104520161020220201204<NA><NA>812020120400.00<NA><NA><NA><NA><NA>S04303158341782
92027020161000000000202101251792.043.438.989912.91094524035595311652258383103983.70.08845.61.543.011335227.3송우 1047호104720161020220200730<NA><NA>812020073000.058202009261208HO00340<NA>59S04303158341792