Overview

Dataset statistics

Number of variables25
Number of observations10000
Missing cells80034
Missing cells (%)32.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 MiB
Average record size in memory227.0 B

Variable types

Numeric9
Unsupported8
Categorical4
DateTime3
Boolean1

Dataset

Description농림수산식품교육문화정보원 스마트팜코리아에서 제공하는 스마트축산 낙농분야 ICT로봇착유기 수집정보입니다.
Author농림수산식품교육문화정보원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20210929000000001578

Alerts

축종코드 has constant value ""Constant
제조사 아이디 has constant value ""Constant
수집건수 has constant value ""Constant
혈액흐름 is highly imbalanced (99.3%)Imbalance
축산업등록번호 has 10000 (100.0%) missing valuesMissing
장비코드 has 10000 (100.0%) missing valuesMissing
장비번호 has 10000 (100.0%) missing valuesMissing
체세포 has 10000 (100.0%) missing valuesMissing
색상 has 10000 (100.0%) missing valuesMissing
수집구분 has 10000 (100.0%) missing valuesMissing
산차 has 10000 (100.0%) missing valuesMissing
반추시간 has 10000 (100.0%) missing valuesMissing
축산업등록번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
장비코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
장비번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
체세포 is an unsupported type, check if it needs cleaning or further analysisUnsupported
색상 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수집구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
산차 is an unsupported type, check if it needs cleaning or further analysisUnsupported
반추시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 03:22:01.128856
Analysis finished2023-12-11 03:22:27.502510
Duration26.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농장아이디
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20381.065
Minimum20261
Maximum21133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:22:27.566313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20261
5-th percentile20261
Q120264
median20279
Q320338
95-th percentile21133
Maximum21133
Range872
Interquartile range (IQR)74

Descriptive statistics

Standard deviation260.05817
Coefficient of variation (CV)0.012759793
Kurtosis4.3926066
Mean20381.065
Median Absolute Deviation (MAD)18
Skewness2.4988879
Sum2.0381065 × 108
Variance67630.254
MonotonicityNot monotonic
2023-12-11T12:22:27.715258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20261 2259
22.6%
20338 2216
22.2%
20264 1576
15.8%
20279 1097
11.0%
21133 1054
10.5%
20332 1035
10.3%
20278 763
 
7.6%
ValueCountFrequency (%)
20261 2259
22.6%
20264 1576
15.8%
20278 763
 
7.6%
20279 1097
11.0%
20332 1035
10.3%
20338 2216
22.2%
21133 1054
10.5%
ValueCountFrequency (%)
21133 1054
10.5%
20338 2216
22.2%
20332 1035
10.3%
20279 1097
11.0%
20278 763
 
7.6%
20264 1576
15.8%
20261 2259
22.6%

개체번호
Real number (ℝ)

Distinct481
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0170783 × 1013
Minimum2.007121 × 1013
Maximum2.0191027 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:22:27.959576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.007121 × 1013
5-th percentile2.0140804 × 1013
Q12.0160929 × 1013
median2.0171016 × 1013
Q32.0180828 × 1013
95-th percentile2.0190704 × 1013
Maximum2.0191027 × 1013
Range1.1981701 × 1011
Interquartile range (IQR)1.9899 × 1010

Descriptive statistics

Standard deviation1.6214207 × 1010
Coefficient of variation (CV)0.00080384616
Kurtosis2.8624223
Mean2.0170783 × 1013
Median Absolute Deviation (MAD)9.995 × 109
Skewness-1.1933636
Sum2.0170783 × 1017
Variance2.629005 × 1020
MonotonicityNot monotonic
2023-12-11T12:22:28.245730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180111020004 50
 
0.5%
20190411020053 50
 
0.5%
20170601020128 49
 
0.5%
20181120020064 46
 
0.5%
20151011020059 46
 
0.5%
20190226010094 45
 
0.4%
20130101010002 45
 
0.4%
20190704010110 44
 
0.4%
20170219020134 44
 
0.4%
20190704020038 43
 
0.4%
Other values (471) 9538
95.4%
ValueCountFrequency (%)
20071210010043 12
 
0.1%
20071210020086 6
 
0.1%
20100210010017 8
 
0.1%
20101107010001 10
 
0.1%
20110421010013 26
0.3%
20121004020089 29
0.3%
20130101010002 45
0.4%
20130102020043 16
 
0.2%
20130106010002 26
0.3%
20130106020141 25
0.2%
ValueCountFrequency (%)
20191027020116 17
0.2%
20191022020109 1
 
< 0.1%
20191016020070 17
0.2%
20191016010101 10
0.1%
20191014020056 9
0.1%
20191014010100 7
 
0.1%
20191002020107 5
 
0.1%
20191002010099 5
 
0.1%
20190917020062 5
 
0.1%
20190905020122 18
0.2%

축산업등록번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

축종코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
D00
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowD00
2nd rowD00
3rd rowD00
4th rowD00
5th rowD00

Common Values

ValueCountFrequency (%)
D00 10000
100.0%

Length

2023-12-11T12:22:28.459219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:28.564771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
d00 10000
100.0%

제조사 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
agrirobotech
10000 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
agrirobotech 10000
100.0%

Length

2023-12-11T12:22:28.669603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:28.802562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
agrirobotech 10000
100.0%

장비코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

장비번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB
Distinct8813
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-09-01 00:03:59
Maximum2021-09-26 23:58:13
2023-12-11T12:22:28.946857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:22:29.133521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착유량
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5319
Minimum0
Maximum34
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:22:29.302593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q19
median11
Q314
95-th percentile18
Maximum34
Range34
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.7112477
Coefficient of variation (CV)0.32182448
Kurtosis1.4652737
Mean11.5319
Median Absolute Deviation (MAD)2
Skewness0.74444437
Sum115319
Variance13.77336
MonotonicityNot monotonic
2023-12-11T12:22:29.496438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10 1322
13.2%
11 1273
12.7%
9 1211
12.1%
8 992
9.9%
12 990
9.9%
13 802
8.0%
14 658
6.6%
15 465
 
4.7%
7 463
 
4.6%
16 408
 
4.1%
Other values (21) 1416
14.2%
ValueCountFrequency (%)
0 16
 
0.2%
1 20
 
0.2%
2 19
 
0.2%
3 43
 
0.4%
4 62
 
0.6%
5 84
 
0.8%
6 173
 
1.7%
7 463
 
4.6%
8 992
9.9%
9 1211
12.1%
ValueCountFrequency (%)
34 3
 
< 0.1%
29 2
 
< 0.1%
28 6
 
0.1%
27 4
 
< 0.1%
26 8
 
0.1%
25 16
 
0.2%
24 17
 
0.2%
23 27
 
0.3%
22 54
0.5%
21 73
0.7%
Distinct8813
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-09-01 00:03:59
Maximum2021-09-26 23:58:13
2023-12-11T12:22:29.683188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:22:29.891972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct8808
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-09-01 00:11:24
Maximum2021-09-27 00:11:00
2023-12-11T12:22:30.103665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:22:30.336868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착유회차
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
3529 
2
3188 
3
2270 
4
919 
5
 
94

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row3

Common Values

ValueCountFrequency (%)
1 3529
35.3%
2 3188
31.9%
3 2270
22.7%
4 919
 
9.2%
5 94
 
0.9%

Length

2023-12-11T12:22:30.521895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:30.633671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3529
35.3%
2 3188
31.9%
3 2270
22.7%
4 919
 
9.2%
5 94
 
0.9%

전도도
Real number (ℝ)

Distinct52
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.90035
Minimum2.1
Maximum9.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:22:30.797744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.1
5-th percentile6.2
Q16.7
median6.9
Q37.2
95-th percentile7.7
Maximum9.3
Range7.2
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.56262113
Coefficient of variation (CV)0.081535158
Kurtosis6.6015232
Mean6.90035
Median Absolute Deviation (MAD)0.3
Skewness-1.4738986
Sum69003.5
Variance0.31654253
MonotonicityNot monotonic
2023-12-11T12:22:30.992768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.9 1022
10.2%
7.0 958
9.6%
7.1 942
9.4%
6.8 936
9.4%
6.7 864
 
8.6%
7.2 749
 
7.5%
6.6 661
 
6.6%
7.3 627
 
6.3%
6.5 526
 
5.3%
7.4 446
 
4.5%
Other values (42) 2269
22.7%
ValueCountFrequency (%)
2.1 1
 
< 0.1%
3.0 1
 
< 0.1%
3.2 1
 
< 0.1%
3.3 3
 
< 0.1%
3.4 9
0.1%
3.5 12
0.1%
3.6 1
 
< 0.1%
4.6 3
 
< 0.1%
4.7 7
0.1%
4.8 15
0.1%
ValueCountFrequency (%)
9.3 2
 
< 0.1%
9.1 1
 
< 0.1%
8.8 1
 
< 0.1%
8.7 1
 
< 0.1%
8.6 3
 
< 0.1%
8.5 13
 
0.1%
8.4 15
 
0.1%
8.3 23
0.2%
8.2 31
0.3%
8.1 39
0.4%

체세포
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

혈액흐름
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9994 
True
 
6
ValueCountFrequency (%)
False 9994
99.9%
True 6
 
0.1%
2023-12-11T12:22:31.143827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

색상
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

온도
Real number (ℝ)

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.2812
Minimum31.7
Maximum42.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:22:31.303276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31.7
5-th percentile38.4
Q138.9
median39.2
Q339.6
95-th percentile40.3
Maximum42.6
Range10.9
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.61751817
Coefficient of variation (CV)0.015720451
Kurtosis11.456387
Mean39.2812
Median Absolute Deviation (MAD)0.4
Skewness-0.71629366
Sum392812
Variance0.38132869
MonotonicityNot monotonic
2023-12-11T12:22:31.509427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.1 1099
 
11.0%
39.4 944
 
9.4%
39.3 793
 
7.9%
39.0 779
 
7.8%
39.7 623
 
6.2%
38.8 608
 
6.1%
39.6 605
 
6.0%
38.7 547
 
5.5%
39.2 515
 
5.1%
38.9 467
 
4.7%
Other values (62) 3020
30.2%
ValueCountFrequency (%)
31.7 1
< 0.1%
31.9 1
< 0.1%
32.4 1
< 0.1%
32.7 2
< 0.1%
33.7 1
< 0.1%
33.9 1
< 0.1%
34.8 1
< 0.1%
35.0 1
< 0.1%
35.2 1
< 0.1%
35.6 2
< 0.1%
ValueCountFrequency (%)
42.6 1
 
< 0.1%
42.4 1
 
< 0.1%
41.9 3
 
< 0.1%
41.8 4
 
< 0.1%
41.6 7
 
0.1%
41.5 1
 
< 0.1%
41.4 8
 
0.1%
41.3 12
0.1%
41.2 2
 
< 0.1%
41.1 27
0.3%

유지방
Real number (ℝ)

Distinct65
Distinct (%)0.7%
Missing17
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean3.9660222
Minimum0.2
Maximum7.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:22:31.684086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile2.7
Q13.5
median4
Q34.5
95-th percentile5.2
Maximum7.6
Range7.4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.75574304
Coefficient of variation (CV)0.19055441
Kurtosis0.57983858
Mean3.9660222
Median Absolute Deviation (MAD)0.5
Skewness0.059494546
Sum39592.8
Variance0.57114754
MonotonicityNot monotonic
2023-12-11T12:22:31.900789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.9 585
 
5.9%
4.0 555
 
5.5%
3.7 550
 
5.5%
4.1 548
 
5.5%
3.8 533
 
5.3%
4.2 530
 
5.3%
3.5 463
 
4.6%
4.3 462
 
4.6%
3.6 459
 
4.6%
4.5 444
 
4.4%
Other values (55) 4854
48.5%
ValueCountFrequency (%)
0.2 1
 
< 0.1%
0.6 1
 
< 0.1%
0.7 1
 
< 0.1%
1.2 6
0.1%
1.3 1
 
< 0.1%
1.4 2
 
< 0.1%
1.5 1
 
< 0.1%
1.6 5
0.1%
1.7 7
0.1%
1.8 9
0.1%
ValueCountFrequency (%)
7.6 2
 
< 0.1%
7.3 1
 
< 0.1%
7.2 1
 
< 0.1%
7.0 1
 
< 0.1%
6.9 1
 
< 0.1%
6.8 1
 
< 0.1%
6.7 5
0.1%
6.6 2
 
< 0.1%
6.5 4
< 0.1%
6.4 7
0.1%

유단백
Real number (ℝ)

Distinct27
Distinct (%)0.3%
Missing17
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean3.1663929
Minimum2.5
Maximum5.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:22:32.078479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile2.8
Q13
median3.2
Q33.3
95-th percentile3.5
Maximum5.3
Range2.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.21769424
Coefficient of variation (CV)0.068751495
Kurtosis6.8999726
Mean3.1663929
Median Absolute Deviation (MAD)0.1
Skewness1.1947471
Sum31610.1
Variance0.047390784
MonotonicityNot monotonic
2023-12-11T12:22:32.239963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3.2 2117
21.2%
3.1 1980
19.8%
3.3 1589
15.9%
3.0 1412
14.1%
3.4 861
8.6%
2.9 800
 
8.0%
2.8 396
 
4.0%
3.5 342
 
3.4%
3.6 156
 
1.6%
2.7 113
 
1.1%
Other values (17) 217
 
2.2%
ValueCountFrequency (%)
2.5 6
 
0.1%
2.6 40
 
0.4%
2.7 113
 
1.1%
2.8 396
 
4.0%
2.9 800
 
8.0%
3.0 1412
14.1%
3.1 1980
19.8%
3.2 2117
21.2%
3.3 1589
15.9%
3.4 861
8.6%
ValueCountFrequency (%)
5.3 1
 
< 0.1%
5.0 1
 
< 0.1%
4.9 3
 
< 0.1%
4.8 2
 
< 0.1%
4.7 1
 
< 0.1%
4.6 7
0.1%
4.5 3
 
< 0.1%
4.4 8
0.1%
4.3 6
0.1%
4.2 12
0.1%

공기흐름
Real number (ℝ)

Distinct76
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.06517
Minimum0.2
Maximum9.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:22:32.440663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1.5
Q12.2
median2.9
Q33.8
95-th percentile5.1
Maximum9.1
Range8.9
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.1356174
Coefficient of variation (CV)0.37049083
Kurtosis0.26885118
Mean3.06517
Median Absolute Deviation (MAD)0.8
Skewness0.60868051
Sum30651.7
Variance1.2896268
MonotonicityNot monotonic
2023-12-11T12:22:32.629818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.4 391
 
3.9%
2.3 388
 
3.9%
2.5 383
 
3.8%
2.6 356
 
3.6%
2.9 349
 
3.5%
2.8 347
 
3.5%
3.0 347
 
3.5%
2.2 342
 
3.4%
2.7 327
 
3.3%
3.1 318
 
3.2%
Other values (66) 6452
64.5%
ValueCountFrequency (%)
0.2 1
 
< 0.1%
0.3 2
 
< 0.1%
0.4 3
 
< 0.1%
0.5 3
 
< 0.1%
0.6 8
 
0.1%
0.7 8
 
0.1%
0.8 20
0.2%
0.9 26
0.3%
1.0 33
0.3%
1.1 48
0.5%
ValueCountFrequency (%)
9.1 1
 
< 0.1%
7.9 1
 
< 0.1%
7.8 2
 
< 0.1%
7.5 4
< 0.1%
7.4 3
< 0.1%
7.3 2
 
< 0.1%
7.1 2
 
< 0.1%
7.0 3
< 0.1%
6.9 7
0.1%
6.8 6
0.1%

수집구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

수집일자
Real number (ℝ)

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210916
Minimum20210902
Maximum20210927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T12:22:33.139699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210902
5-th percentile20210903
Q120210910
median20210916
Q320210922
95-th percentile20210926
Maximum20210927
Range25
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3097555
Coefficient of variation (CV)3.6167365 × 10-7
Kurtosis-1.0649285
Mean20210916
Median Absolute Deviation (MAD)6
Skewness-0.20580909
Sum2.0210916 × 1011
Variance53.432526
MonotonicityNot monotonic
2023-12-11T12:22:33.285051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20210920 497
 
5.0%
20210917 490
 
4.9%
20210915 490
 
4.9%
20210918 485
 
4.9%
20210916 476
 
4.8%
20210927 464
 
4.6%
20210923 460
 
4.6%
20210924 454
 
4.5%
20210926 452
 
4.5%
20210919 451
 
4.5%
Other values (16) 5281
52.8%
ValueCountFrequency (%)
20210902 331
3.3%
20210903 306
3.1%
20210904 312
3.1%
20210905 313
3.1%
20210906 300
3.0%
20210907 309
3.1%
20210908 329
3.3%
20210909 292
2.9%
20210910 336
3.4%
20210911 303
3.0%
ValueCountFrequency (%)
20210927 464
4.6%
20210926 452
4.5%
20210925 314
3.1%
20210924 454
4.5%
20210923 460
4.6%
20210922 446
4.5%
20210921 327
3.3%
20210920 497
5.0%
20210919 451
4.5%
20210918 485
4.9%

수집건수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-11T12:22:33.437598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:33.559447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

산차
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

반추시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

농장아이디개체번호축산업등록번호축종코드제조사 아이디장비코드장비번호측정일시착유량착유시작일시착유종료일시착유회차전도도체세포혈액흐름색상온도유지방유단백공기흐름수집구분수집일자수집건수산차반추시간
99912033820181204020018<NA>D00agrirobotech<NA><NA>2021-09-15 12:53:16 AM72021-09-15 12:53:16 AM2021-09-15 12:58:01 AM17.4<NA>N<NA>39.02.93.33.2<NA>202109161<NA><NA>
128172033820190722020113<NA>D00agrirobotech<NA><NA>2021-09-24 8:18:28 AM92021-09-24 8:18:28 AM2021-09-24 8:23:45 AM26.9<NA>N<NA>38.43.43.12.8<NA>202109251<NA><NA>
27212033820160308020079<NA>D00agrirobotech<NA><NA>2021-09-18 1:40:12 AM92021-09-18 1:40:12 AM2021-09-18 1:45:25 AM17.2<NA>N<NA>38.84.13.22.9<NA>202109191<NA><NA>
82592026120180320010068<NA>D00agrirobotech<NA><NA>2021-09-13 4:25:06 PM192021-09-13 4:25:06 PM2021-09-13 4:32:09 PM26.9<NA>N<NA>40.43.13.63.8<NA>202109141<NA><NA>
178562113320190221010085<NA>D00agrirobotech<NA><NA>2021-09-25 3:07:18 PM82021-09-25 3:07:18 PM2021-09-25 3:11:43 PM36.8<NA>N<NA>38.93.43.24.8<NA>202109261<NA><NA>
158832027920140913010005<NA>D00agrirobotech<NA><NA>2021-09-16 7:24:36 PM162021-09-16 7:24:36 PM2021-09-16 7:34:59 PM27.0<NA>N<NA>38.84.73.31.9<NA>202109171<NA><NA>
79112026120180304010066<NA>D00agrirobotech<NA><NA>2021-09-16 8:04:58 AM192021-09-16 8:04:58 AM2021-09-16 8:14:17 AM17.0<NA>N<NA>38.53.83.42.5<NA>202109171<NA><NA>
66612026120171118010057<NA>D00agrirobotech<NA><NA>2021-09-11 7:29:58 PM72021-09-11 7:29:58 PM2021-09-11 7:33:55 PM36.9<NA>N<NA>39.74.33.33.8<NA>202109121<NA><NA>
125012026120190704010110<NA>D00agrirobotech<NA><NA>2021-09-04 2:10:55 PM102021-09-04 2:10:55 PM2021-09-04 2:15:52 PM36.8<NA>N<NA>38.83.42.84.4<NA>202109051<NA><NA>
246912026420161023020002<NA>D00agrirobotech<NA><NA>2021-09-09 7:39:02 AM72021-09-09 7:39:02 AM2021-09-09 7:44:40 AM26.8<NA>N<NA>38.13.43.22.5<NA>202109101<NA><NA>
농장아이디개체번호축산업등록번호축종코드제조사 아이디장비코드장비번호측정일시착유량착유시작일시착유종료일시착유회차전도도체세포혈액흐름색상온도유지방유단백공기흐름수집구분수집일자수집건수산차반추시간
158182027920180603010001<NA>D00agrirobotech<NA><NA>2021-09-15 11:06:01 PM42021-09-15 11:06:01 PM2021-09-15 11:10:18 PM37.3<NA>N<NA>39.13.63.43.3<NA>202109161<NA><NA>
204642113320151205010008<NA>D00agrirobotech<NA><NA>2021-09-13 3:58:57 PM102021-09-13 3:58:57 PM2021-09-13 4:07:23 PM37.1<NA>N<NA>39.14.53.22.0<NA>202109141<NA><NA>
68932026120171208010060<NA>D00agrirobotech<NA><NA>2021-09-01 9:27:51 PM92021-09-01 9:27:51 PM2021-09-01 9:36:28 PM47.2<NA>N<NA>39.44.52.81.6<NA>202109021<NA><NA>
201252033220160719020126<NA>D00agrirobotech<NA><NA>2021-09-15 10:09:52 AM112021-09-15 10:09:52 AM2021-09-15 10:15:56 AM26.8<NA>N<NA>38.63.82.62.5<NA>202109161<NA><NA>
19212027820180825010005<NA>D00agrirobotech<NA><NA>2021-09-15 3:28:50 PM92021-09-15 3:28:50 PM2021-09-15 3:32:46 PM37.0<NA>N<NA>40.83.43.34.2<NA>202109161<NA><NA>
207202113320170204010009<NA>D00agrirobotech<NA><NA>2021-09-22 1:01:12 AM132021-09-22 1:01:12 AM2021-09-22 1:08:23 AM16.6<NA>N<NA>39.24.93.22.6<NA>202109231<NA><NA>
40362026120161021010035<NA>D00agrirobotech<NA><NA>2021-09-06 1:37:38 AM92021-09-06 1:37:38 AM2021-09-06 1:46:59 AM16.8<NA>N<NA>38.53.73.21.4<NA>202109071<NA><NA>
259502026420180119020052<NA>D00agrirobotech<NA><NA>2021-09-14 4:05:13 PM92021-09-14 4:05:13 PM2021-09-14 4:12:10 PM34.9<NA>N<NA>40.43.73.01.9<NA>202109151<NA><NA>
188762113320190903010098<NA>D00agrirobotech<NA><NA>2021-09-20 1:45:48 PM102021-09-20 1:45:48 PM2021-09-20 1:52:02 PM36.9<NA>N<NA>39.74.43.34.3<NA>202109211<NA><NA>
29952033820160605020050<NA>D00agrirobotech<NA><NA>2021-09-23 9:57:56 AM172021-09-23 9:57:56 AM2021-09-23 10:07:39 AM27.1<NA>N<NA>38.53.13.52.2<NA>202109241<NA><NA>