Overview

Dataset statistics

Number of variables34
Number of observations71
Missing cells809
Missing cells (%)33.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.5 KiB
Average record size in memory295.9 B

Variable types

Numeric11
Categorical10
Unsupported9
Text4

Dataset

Description2021-01-04
Author지방행정인허가공개데이터
URLhttps://bigdata.busan.go.kr/data/bigDataDetailView.do?menuCode=M00000000007&hdfs_file_sn=20230901050101123115

Alerts

개방서비스명 has constant value ""Constant
개방서비스id has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 71 (100.0%) missing valuesMissing
폐업일자 has 42 (59.2%) missing valuesMissing
휴업시작일자 has 71 (100.0%) missing valuesMissing
휴업종료일자 has 71 (100.0%) missing valuesMissing
재개업일자 has 64 (90.1%) missing valuesMissing
소재지전화 has 15 (21.1%) missing valuesMissing
소재지우편번호 has 71 (100.0%) missing valuesMissing
소재지전체주소 has 4 (5.6%) missing valuesMissing
도로명전체주소 has 6 (8.5%) missing valuesMissing
도로명우편번호 has 33 (46.5%) missing valuesMissing
업태구분명 has 71 (100.0%) missing valuesMissing
좌표정보(x) has 3 (4.2%) missing valuesMissing
좌표정보(y) has 3 (4.2%) missing valuesMissing
축산물가공업구분명 has 71 (100.0%) missing valuesMissing
축산일련번호 has 71 (100.0%) missing valuesMissing
총종업원수 has 71 (100.0%) missing valuesMissing
Unnamed: 33 has 71 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총종업원수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 18 (25.4%) zerosZeros

Reproduction

Analysis started2024-04-16 06:02:09.774678
Analysis finished2024-04-16 06:02:10.101381
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:10.154982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2024-04-16T15:02:10.259145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
축산물보관업
71 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물보관업 71
100.0%

Length

2024-04-16T15:02:10.382728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:02:10.461661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물보관업 71
100.0%

개방서비스id
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
07_22_24_P
71 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_24_P
2nd row07_22_24_P
3rd row07_22_24_P
4th row07_22_24_P
5th row07_22_24_P

Common Values

ValueCountFrequency (%)
07_22_24_P 71
100.0%

Length

2024-04-16T15:02:10.553091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:02:10.626248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_24_p 71
100.0%

개방자치단체코드
Real number (ℝ)

Distinct12
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3320000
Minimum3260000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:10.690728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3260000
5-th percentile3260000
Q13265000
median3340000
Q33340000
95-th percentile3390000
Maximum3400000
Range140000
Interquartile range (IQR)75000

Descriptive statistics

Standard deviation43127.717
Coefficient of variation (CV)0.012990276
Kurtosis-1.093089
Mean3320000
Median Absolute Deviation (MAD)20000
Skewness-0.23089384
Sum2.3572 × 108
Variance1.86 × 109
MonotonicityIncreasing
2024-04-16T15:02:10.782916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3340000 29
40.8%
3260000 18
25.4%
3360000 6
 
8.5%
3390000 4
 
5.6%
3270000 3
 
4.2%
3290000 2
 
2.8%
3310000 2
 
2.8%
3350000 2
 
2.8%
3400000 2
 
2.8%
3300000 1
 
1.4%
Other values (2) 2
 
2.8%
ValueCountFrequency (%)
3260000 18
25.4%
3270000 3
 
4.2%
3290000 2
 
2.8%
3300000 1
 
1.4%
3310000 2
 
2.8%
3320000 1
 
1.4%
3330000 1
 
1.4%
3340000 29
40.8%
3350000 2
 
2.8%
3360000 6
 
8.5%
ValueCountFrequency (%)
3400000 2
 
2.8%
3390000 4
 
5.6%
3360000 6
 
8.5%
3350000 2
 
2.8%
3340000 29
40.8%
3330000 1
 
1.4%
3320000 1
 
1.4%
3310000 2
 
2.8%
3300000 1
 
1.4%
3290000 2
 
2.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.32 × 1017
Minimum3.26 × 1017
Maximum3.4 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:11.114720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.26 × 1017
5-th percentile3.26 × 1017
Q13.265 × 1017
median3.34 × 1017
Q33.34 × 1017
95-th percentile3.39 × 1017
Maximum3.4 × 1017
Range1.4 × 1016
Interquartile range (IQR)7.5 × 1015

Descriptive statistics

Standard deviation4.3127717 × 1015
Coefficient of variation (CV)0.012990276
Kurtosis-1.093089
Mean3.32 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.23089384
Sum5.125256 × 1018
Variance1.86 × 1031
MonotonicityNot monotonic
2024-04-16T15:02:11.224237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
326000000720180001 1
 
1.4%
326000000720200001 1
 
1.4%
334000000720090003 1
 
1.4%
334000000720090001 1
 
1.4%
334000000720060003 1
 
1.4%
334000000720050001 1
 
1.4%
334000000720010006 1
 
1.4%
334000000720060002 1
 
1.4%
334000000720010002 1
 
1.4%
334000000720200001 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
326000000720010001 1
1.4%
326000000720010002 1
1.4%
326000000720010003 1
1.4%
326000000720010004 1
1.4%
326000000720030001 1
1.4%
326000000720060001 1
1.4%
326000000720080001 1
1.4%
326000000720080002 1
1.4%
326000000720080003 1
1.4%
326000000720090001 1
1.4%
ValueCountFrequency (%)
340000000720190001 1
1.4%
340000000720170001 1
1.4%
339000000720200001 1
1.4%
339000000720170001 1
1.4%
339000000720150001 1
1.4%
339000000720030001 1
1.4%
336000000720200001 1
1.4%
336000000720180001 1
1.4%
336000000720150002 1
1.4%
336000000720150001 1
1.4%

인허가일자
Real number (ℝ)

Distinct59
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20097900
Minimum20010131
Maximum20200809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:11.359328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010131
5-th percentile20011029
Q120030530
median20090827
Q320151207
95-th percentile20200314
Maximum20200809
Range190678
Interquartile range (IQR)120676.5

Descriptive statistics

Standard deviation64424.138
Coefficient of variation (CV)0.0032055158
Kurtosis-1.2405662
Mean20097900
Median Absolute Deviation (MAD)60384
Skewness0.055620822
Sum1.4269509 × 109
Variance4.1504695 × 109
MonotonicityNot monotonic
2024-04-16T15:02:11.477907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20011030 9
 
12.7%
20011029 4
 
5.6%
20090311 2
 
2.8%
20180829 1
 
1.4%
20090303 1
 
1.4%
20110405 1
 
1.4%
20180703 1
 
1.4%
20200310 1
 
1.4%
20060428 1
 
1.4%
20050616 1
 
1.4%
Other values (49) 49
69.0%
ValueCountFrequency (%)
20010131 1
 
1.4%
20011029 4
5.6%
20011030 9
12.7%
20011121 1
 
1.4%
20020528 1
 
1.4%
20030303 1
 
1.4%
20030331 1
 
1.4%
20030730 1
 
1.4%
20050616 1
 
1.4%
20060215 1
 
1.4%
ValueCountFrequency (%)
20200809 1
1.4%
20200622 1
1.4%
20200526 1
1.4%
20200319 1
1.4%
20200310 1
1.4%
20190619 1
1.4%
20190613 1
1.4%
20190311 1
1.4%
20181025 1
1.4%
20180829 1
1.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

영업상태구분코드
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
1
42 
3
29 

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 42
59.2%
3 29
40.8%

Length

2024-04-16T15:02:11.588914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:02:11.669428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 42
59.2%
3 29
40.8%

영업상태명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
영업/정상
42 
폐업
29 

Length

Max length5
Median length5
Mean length3.7746479
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 42
59.2%
폐업 29
40.8%

Length

2024-04-16T15:02:11.753506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:02:11.836706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 42
59.2%
폐업 29
40.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
0
42 
2
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 42
59.2%
2 29
40.8%

Length

2024-04-16T15:02:11.925961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:02:12.019953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
59.2%
2 29
40.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
정상
42 
폐업
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 42
59.2%
폐업 29
40.8%

Length

2024-04-16T15:02:12.119957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:02:12.217729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 42
59.2%
폐업 29
40.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)96.6%
Missing42
Missing (%)59.2%
Infinite0
Infinite (%)0.0%
Mean20134565
Minimum20031229
Maximum20201210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:12.316202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20031229
5-th percentile20058642
Q120111102
median20130612
Q320170117
95-th percentile20200849
Maximum20201210
Range169981
Interquartile range (IQR)59015

Descriptive statistics

Standard deviation43378.58
Coefficient of variation (CV)0.0021544335
Kurtosis-0.015953267
Mean20134565
Median Absolute Deviation (MAD)29702
Skewness-0.39345885
Sum5.8390238 × 108
Variance1.8817012 × 109
MonotonicityNot monotonic
2024-04-16T15:02:12.443246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
20130611 2
 
2.8%
20131120 1
 
1.4%
20071128 1
 
1.4%
20111102 1
 
1.4%
20170306 1
 
1.4%
20111129 1
 
1.4%
20160929 1
 
1.4%
20130612 1
 
1.4%
20170117 1
 
1.4%
20111230 1
 
1.4%
Other values (18) 18
25.4%
(Missing) 42
59.2%
ValueCountFrequency (%)
20031229 1
1.4%
20050318 1
1.4%
20071128 1
1.4%
20091119 1
1.4%
20100809 1
1.4%
20100910 1
1.4%
20110209 1
1.4%
20111102 1
1.4%
20111129 1
1.4%
20111230 1
1.4%
ValueCountFrequency (%)
20201210 1
1.4%
20201012 1
1.4%
20200604 1
1.4%
20191125 1
1.4%
20180115 1
1.4%
20170426 1
1.4%
20170306 1
1.4%
20170117 1
1.4%
20160929 1
1.4%
20160114 1
1.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

재개업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)100.0%
Missing64
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean20183386
Minimum20170117
Maximum20201012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:12.546311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170117
5-th percentile20170174
Q120170366
median20180115
Q320195864
95-th percentile20200890
Maximum20201012
Range30895
Interquartile range (IQR)25498.5

Descriptive statistics

Standard deviation14099.89
Coefficient of variation (CV)0.00069858889
Kurtosis-2.1343515
Mean20183386
Median Absolute Deviation (MAD)9998
Skewness0.35431488
Sum1.412837 × 108
Variance1.9880689 × 108
MonotonicityNot monotonic
2024-04-16T15:02:12.639643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20180115 1
 
1.4%
20170426 1
 
1.4%
20191125 1
 
1.4%
20200604 1
 
1.4%
20201012 1
 
1.4%
20170117 1
 
1.4%
20170306 1
 
1.4%
(Missing) 64
90.1%
ValueCountFrequency (%)
20170117 1
1.4%
20170306 1
1.4%
20170426 1
1.4%
20180115 1
1.4%
20191125 1
1.4%
20200604 1
1.4%
20201012 1
1.4%
ValueCountFrequency (%)
20201012 1
1.4%
20200604 1
1.4%
20191125 1
1.4%
20180115 1
1.4%
20170426 1
1.4%
20170306 1
1.4%
20170117 1
1.4%

소재지전화
Text

MISSING 

Distinct52
Distinct (%)92.9%
Missing15
Missing (%)21.1%
Memory size700.0 B
2024-04-16T15:02:12.816377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.2678571
Min length7

Characters and Unicode

Total characters519
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)85.7%

Sample

1st row0512616161
2nd row231-1500
3rd row254-8011
4th row244-6161
5th row051-600-1919
ValueCountFrequency (%)
263-3161 2
 
3.6%
253-8500 2
 
3.6%
264-6400 2
 
3.6%
204-5501 2
 
3.6%
515-7011 1
 
1.8%
0512616161 1
 
1.8%
051-899-4000 1
 
1.8%
051-941-7601 1
 
1.8%
2014411 1
 
1.8%
204-3161 1
 
1.8%
Other values (42) 42
75.0%
2024-04-16T15:02:13.154650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 89
17.1%
1 80
15.4%
- 67
12.9%
2 59
11.4%
5 51
9.8%
6 44
8.5%
3 34
 
6.6%
4 27
 
5.2%
7 25
 
4.8%
8 21
 
4.0%
Other values (2) 22
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 451
86.9%
Dash Punctuation 67
 
12.9%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89
19.7%
1 80
17.7%
2 59
13.1%
5 51
11.3%
6 44
9.8%
3 34
 
7.5%
4 27
 
6.0%
7 25
 
5.5%
8 21
 
4.7%
9 21
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89
17.1%
1 80
15.4%
- 67
12.9%
2 59
11.4%
5 51
9.8%
6 44
8.5%
3 34
 
6.6%
4 27
 
5.2%
7 25
 
4.8%
8 21
 
4.0%
Other values (2) 22
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89
17.1%
1 80
15.4%
- 67
12.9%
2 59
11.4%
5 51
9.8%
6 44
8.5%
3 34
 
6.6%
4 27
 
5.2%
7 25
 
4.8%
8 21
 
4.0%
Other values (2) 22
 
4.2%

소재지면적
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4317.6723
Minimum0
Maximum228585
Zeros18
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:13.276810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.3
median528
Q31355.7
95-th percentile3939.505
Maximum228585
Range228585
Interquartile range (IQR)1353.4

Descriptive statistics

Standard deviation27061.936
Coefficient of variation (CV)6.2677144
Kurtosis70.278963
Mean4317.6723
Median Absolute Deviation (MAD)528
Skewness8.3641704
Sum306554.73
Variance7.323484 × 108
MonotonicityNot monotonic
2024-04-16T15:02:13.412849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
25.4%
2676.05 1
 
1.4%
1318.4 1
 
1.4%
702.9 1
 
1.4%
5720.0 1
 
1.4%
400.0 1
 
1.4%
1230.0 1
 
1.4%
2160.29 1
 
1.4%
184.5 1
 
1.4%
630.0 1
 
1.4%
Other values (44) 44
62.0%
ValueCountFrequency (%)
0.0 18
25.4%
4.6 1
 
1.4%
9.9 1
 
1.4%
13.0 1
 
1.4%
29.0 1
 
1.4%
39.0 1
 
1.4%
59.5 1
 
1.4%
114.0 1
 
1.4%
142.63 1
 
1.4%
164.0 1
 
1.4%
ValueCountFrequency (%)
228585.0 1
1.4%
13044.0 1
1.4%
5720.0 1
1.4%
3941.6 1
1.4%
3937.41 1
1.4%
3646.26 1
1.4%
3117.23 1
1.4%
3098.15 1
1.4%
2713.81 1
1.4%
2676.05 1
1.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

소재지전체주소
Text

MISSING 

Distinct62
Distinct (%)92.5%
Missing4
Missing (%)5.6%
Memory size700.0 B
2024-04-16T15:02:13.683069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20.462687
Min length13

Characters and Unicode

Total characters1371
Distinct characters73
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

Unique57 ?
Unique (%)85.1%

Sample

1st row부산광역시 서구 암남동 633-22번지
2nd row부산광역시 서구 암남동 717
3rd row부산광역시 서구 암남동 720
4th row부산광역시 서구 암남동 171-20번지
5th row부산광역시 서구 암남동 740번지
ValueCountFrequency (%)
부산광역시 67
24.4%
사하구 29
 
10.5%
서구 16
 
5.8%
암남동 13
 
4.7%
감천동 10
 
3.6%
구평동 6
 
2.2%
신평동 6
 
2.2%
장림동 5
 
1.8%
강서구 5
 
1.8%
사상구 4
 
1.5%
Other values (95) 114
41.5%
2024-04-16T15:02:14.039315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
 
15.5%
부 72
 
5.3%
구 72
 
5.3%
동 71
 
5.2%
산 70
 
5.1%
광 68
 
5.0%
역 67
 
4.9%
시 67
 
4.9%
지 57
 
4.2%
번 56
 
4.1%
Other values (63) 559
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 846
61.7%
Decimal Number 269
 
19.6%
Space Separator 212
 
15.5%
Dash Punctuation 42
 
3.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 72
 
8.5%
구 72
 
8.5%
동 71
 
8.4%
산 70
 
8.3%
광 68
 
8.0%
역 67
 
7.9%
시 67
 
7.9%
지 57
 
6.7%
번 56
 
6.6%
사 33
 
3.9%
Other values (49) 213
25.2%
Decimal Number
ValueCountFrequency (%)
1 46
17.1%
3 36
13.4%
2 33
12.3%
7 33
12.3%
4 32
11.9%
5 28
10.4%
8 19
7.1%
0 17
 
6.3%
6 15
 
5.6%
9 10
 
3.7%
Space Separator
ValueCountFrequency (%)
212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 846
61.7%
Common 525
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 72
 
8.5%
구 72
 
8.5%
동 71
 
8.4%
산 70
 
8.3%
광 68
 
8.0%
역 67
 
7.9%
시 67
 
7.9%
지 57
 
6.7%
번 56
 
6.6%
사 33
 
3.9%
Other values (49) 213
25.2%
Common
ValueCountFrequency (%)
212
40.4%
1 46
 
8.8%
- 42
 
8.0%
3 36
 
6.9%
2 33
 
6.3%
7 33
 
6.3%
4 32
 
6.1%
5 28
 
5.3%
8 19
 
3.6%
0 17
 
3.2%
Other values (4) 27
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 846
61.7%
ASCII 525
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
40.4%
1 46
 
8.8%
- 42
 
8.0%
3 36
 
6.9%
2 33
 
6.3%
7 33
 
6.3%
4 32
 
6.1%
5 28
 
5.3%
8 19
 
3.6%
0 17
 
3.2%
Other values (4) 27
 
5.1%
Hangul
ValueCountFrequency (%)
부 72
 
8.5%
구 72
 
8.5%
동 71
 
8.4%
산 70
 
8.3%
광 68
 
8.0%
역 67
 
7.9%
시 67
 
7.9%
지 57
 
6.7%
번 56
 
6.6%
사 33
 
3.9%
Other values (49) 213
25.2%

도로명전체주소
Text

MISSING 

Distinct60
Distinct (%)92.3%
Missing6
Missing (%)8.5%
Memory size700.0 B
2024-04-16T15:02:14.318244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length33
Mean length25.092308
Min length20

Characters and Unicode

Total characters1631
Distinct characters113
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

Unique56 ?
Unique (%)86.2%

Sample

1st row부산광역시 서구 원양로 214 (암남동)
2nd row부산광역시 서구 원양로 119, 1층 (암남동)
3rd row부산광역시 서구 원양로 73 (암남동)
4th row부산광역시 서구 충무대로 234 (남부민동)
5th row부산광역시 서구 송도해변로 197 (암남동)
ValueCountFrequency (%)
부산광역시 65
 
19.2%
사하구 25
 
7.4%
원양로 19
 
5.6%
서구 18
 
5.3%
암남동 13
 
3.8%
감천동 9
 
2.7%
구평동 6
 
1.8%
감천항로 5
 
1.5%
강서구 5
 
1.5%
남부민동 5
 
1.5%
Other values (134) 169
49.9%
2024-04-16T15:02:14.692997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
16.8%
동 75
 
4.6%
부 72
 
4.4%
구 70
 
4.3%
산 69
 
4.2%
( 66
 
4.0%
광 66
 
4.0%
) 66
 
4.0%
시 65
 
4.0%
역 65
 
4.0%
Other values (103) 743
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 984
60.3%
Space Separator 274
 
16.8%
Decimal Number 227
 
13.9%
Open Punctuation 66
 
4.0%
Close Punctuation 66
 
4.0%
Other Punctuation 10
 
0.6%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 75
 
7.6%
부 72
 
7.3%
구 70
 
7.1%
산 69
 
7.0%
광 66
 
6.7%
시 65
 
6.6%
역 65
 
6.6%
로 65
 
6.6%
사 29
 
2.9%
서 26
 
2.6%
Other values (88) 382
38.8%
Decimal Number
ValueCountFrequency (%)
1 46
20.3%
3 34
15.0%
2 32
14.1%
7 23
10.1%
9 23
10.1%
0 18
 
7.9%
4 17
 
7.5%
6 13
 
5.7%
5 11
 
4.8%
8 10
 
4.4%
Space Separator
ValueCountFrequency (%)
274
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 984
60.3%
Common 647
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 75
 
7.6%
부 72
 
7.3%
구 70
 
7.1%
산 69
 
7.0%
광 66
 
6.7%
시 65
 
6.6%
역 65
 
6.6%
로 65
 
6.6%
사 29
 
2.9%
서 26
 
2.6%
Other values (88) 382
38.8%
Common
ValueCountFrequency (%)
274
42.3%
( 66
 
10.2%
) 66
 
10.2%
1 46
 
7.1%
3 34
 
5.3%
2 32
 
4.9%
7 23
 
3.6%
9 23
 
3.6%
0 18
 
2.8%
4 17
 
2.6%
Other values (5) 48
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 984
60.3%
ASCII 647
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
42.3%
( 66
 
10.2%
) 66
 
10.2%
1 46
 
7.1%
3 34
 
5.3%
2 32
 
4.9%
7 23
 
3.6%
9 23
 
3.6%
0 18
 
2.8%
4 17
 
2.6%
Other values (5) 48
 
7.4%
Hangul
ValueCountFrequency (%)
동 75
 
7.6%
부 72
 
7.3%
구 70
 
7.1%
산 69
 
7.0%
광 66
 
6.7%
시 65
 
6.6%
역 65
 
6.6%
로 65
 
6.6%
사 29
 
2.9%
서 26
 
2.6%
Other values (88) 382
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)76.3%
Missing33
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean48348.763
Minimum46048
Maximum49526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:14.797412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46048
5-th percentile46526.85
Q146990.25
median49255
Q349384
95-th percentile49514.1
Maximum49526
Range3478
Interquartile range (IQR)2393.75

Descriptive statistics

Standard deviation1240.5453
Coefficient of variation (CV)0.025658263
Kurtosis-1.4157353
Mean48348.763
Median Absolute Deviation (MAD)271
Skewness-0.60009445
Sum1837253
Variance1538952.6
MonotonicityNot monotonic
2024-04-16T15:02:14.893425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
49273 6
 
8.5%
49526 2
 
2.8%
48757 2
 
2.8%
49454 2
 
2.8%
49255 2
 
2.8%
46722 1
 
1.4%
46048 1
 
1.4%
46067 1
 
1.4%
46978 1
 
1.4%
47028 1
 
1.4%
Other values (19) 19
26.8%
(Missing) 33
46.5%
ValueCountFrequency (%)
46048 1
1.4%
46067 1
1.4%
46608 1
1.4%
46706 1
1.4%
46721 1
1.4%
46722 1
1.4%
46725 1
1.4%
46757 1
1.4%
46944 1
1.4%
46978 1
1.4%
ValueCountFrequency (%)
49526 2
 
2.8%
49512 1
 
1.4%
49459 1
 
1.4%
49454 2
 
2.8%
49453 1
 
1.4%
49452 1
 
1.4%
49449 1
 
1.4%
49421 1
 
1.4%
49273 6
8.5%
49269 1
 
1.4%

사업장명
Text

Distinct68
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-04-16T15:02:15.098427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length13
Mean length8.8732394
Min length2

Characters and Unicode

Total characters630
Distinct characters135
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)91.5%

Sample

1st row고려냉장(주)감천부두냉동공장
2nd row수협중앙회 감천항물류센터
3rd row(주)보림로지스틱스 부산냉장
4th row우양냉장(주)
5th row고려냉장(주)연안공장
ValueCountFrequency (%)
주)삼진글로벌넷 2
 
2.2%
아시아냉장(주 2
 
2.2%
고려수산(주 2
 
2.2%
부산 2
 
2.2%
성진수산(주 2
 
2.2%
삼일냉장(주 2
 
2.2%
주)장수 1
 
1.1%
주)신우농수산 1
 
1.1%
제일에스엘산업(주 1
 
1.1%
청호냉동(주 1
 
1.1%
Other values (73) 73
82.0%
2024-04-16T15:02:15.404847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 63
 
10.0%
( 62
 
9.8%
) 62
 
9.8%
장 28
 
4.4%
냉 26
 
4.1%
산 21
 
3.3%
19
 
3.0%
동 16
 
2.5%
스 11
 
1.7%
부 10
 
1.6%
Other values (125) 312
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
74.9%
Open Punctuation 62
 
9.8%
Close Punctuation 62
 
9.8%
Space Separator 19
 
3.0%
Uppercase Letter 6
 
1.0%
Decimal Number 5
 
0.8%
Lowercase Letter 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 63
 
13.3%
장 28
 
5.9%
냉 26
 
5.5%
산 21
 
4.4%
동 16
 
3.4%
스 11
 
2.3%
부 10
 
2.1%
수 10
 
2.1%
물 7
 
1.5%
고 7
 
1.5%
Other values (112) 273
57.8%
Uppercase Letter
ValueCountFrequency (%)
L 3
50.0%
A 1
 
16.7%
M 1
 
16.7%
J 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
g 1
25.0%
i 1
25.0%
s 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 4
80.0%
1 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
74.9%
Common 148
 
23.5%
Latin 10
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 63
 
13.3%
장 28
 
5.9%
냉 26
 
5.5%
산 21
 
4.4%
동 16
 
3.4%
스 11
 
2.3%
부 10
 
2.1%
수 10
 
2.1%
물 7
 
1.5%
고 7
 
1.5%
Other values (112) 273
57.8%
Latin
ValueCountFrequency (%)
L 3
30.0%
o 1
 
10.0%
g 1
 
10.0%
i 1
 
10.0%
s 1
 
10.0%
A 1
 
10.0%
M 1
 
10.0%
J 1
 
10.0%
Common
ValueCountFrequency (%)
( 62
41.9%
) 62
41.9%
19
 
12.8%
2 4
 
2.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 472
74.9%
ASCII 158
 
25.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 63
 
13.3%
장 28
 
5.9%
냉 26
 
5.5%
산 21
 
4.4%
동 16
 
3.4%
스 11
 
2.3%
부 10
 
2.1%
수 10
 
2.1%
물 7
 
1.5%
고 7
 
1.5%
Other values (112) 273
57.8%
ASCII
ValueCountFrequency (%)
( 62
39.2%
) 62
39.2%
19
 
12.0%
2 4
 
2.5%
L 3
 
1.9%
o 1
 
0.6%
g 1
 
0.6%
i 1
 
0.6%
s 1
 
0.6%
A 1
 
0.6%
Other values (3) 3
 
1.9%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0162127 × 1013
Minimum2.0030514 × 1013
Maximum2.020121 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:15.528392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030514 × 1013
5-th percentile2.0070719 × 1013
Q12.0130613 × 1013
median2.0180821 × 1013
Q32.0200609 × 1013
95-th percentile2.0201109 × 1013
Maximum2.020121 × 1013
Range1.7069602 × 1011
Interquartile range (IQR)6.9996064 × 1010

Descriptive statistics

Standard deviation4.5820349 × 1010
Coefficient of variation (CV)0.002272595
Kurtosis1.1459256
Mean2.0162127 × 1013
Median Absolute Deviation (MAD)1.998295 × 1010
Skewness-1.2770735
Sum1.431511 × 1015
Variance2.0995044 × 1021
MonotonicityNot monotonic
2024-04-16T15:02:15.645726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180829144744 1
 
1.4%
20200809232254 1
 
1.4%
20170117120122 1
 
1.4%
20120618160825 1
 
1.4%
20130612135629 1
 
1.4%
20151208093420 1
 
1.4%
20201210171626 1
 
1.4%
20091119164605 1
 
1.4%
20131120151914 1
 
1.4%
20201014155210 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
20030514155243 1
1.4%
20030514155622 1
1.4%
20031229162229 1
1.4%
20050318181739 1
1.4%
20091119164605 1
1.4%
20100809170227 1
1.4%
20100913085706 1
1.4%
20110209145740 1
1.4%
20111030141914 1
1.4%
20111102164526 1
1.4%
ValueCountFrequency (%)
20201210171626 1
1.4%
20201201132335 1
1.4%
20201113101601 1
1.4%
20201111194326 1
1.4%
20201106154837 1
1.4%
20201014155210 1
1.4%
20200828133451 1
1.4%
20200809232254 1
1.4%
20200804092047 1
1.4%
20200706183459 1
1.4%

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
I
40 
U
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowU
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
I 40
56.3%
U 31
43.7%

Length

2024-04-16T15:02:15.752068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:02:15.831054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 40
56.3%
u 31
43.7%

데이터갱신일자
Categorical

Distinct24
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
2018-08-31 23:59:59.0
37 
2020-06-11 02:40:00.0
11 
2020-06-06 02:40:00.0
 
2
2020-11-13 02:40:00.0
 
1
2020-08-30 02:40:00.0
 
1
Other values (19)
19 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique21 ?
Unique (%)29.6%

Sample

1st row2018-08-31 23:59:59.0
2nd row2020-08-11 00:23:14.0
3rd row2020-08-30 02:40:00.0
4th row2018-08-31 23:59:59.0
5th row2019-06-28 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 37
52.1%
2020-06-11 02:40:00.0 11
 
15.5%
2020-06-06 02:40:00.0 2
 
2.8%
2020-11-13 02:40:00.0 1
 
1.4%
2020-08-30 02:40:00.0 1
 
1.4%
2019-06-28 02:40:00.0 1
 
1.4%
2019-08-24 02:40:00.0 1
 
1.4%
2019-11-27 02:40:00.0 1
 
1.4%
2020-08-06 02:40:00.0 1
 
1.4%
2019-01-10 02:40:00.0 1
 
1.4%
Other values (14) 14
 
19.7%

Length

2024-04-16T15:02:15.912099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 37
26.1%
23:59:59.0 37
26.1%
02:40:00.0 31
21.8%
2020-06-11 11
 
7.7%
2020-06-06 2
 
1.4%
2020-12-12 1
 
0.7%
2018-12-08 1
 
0.7%
2019-05-15 1
 
0.7%
00:23:17.0 1
 
0.7%
2020-06-24 1
 
0.7%
Other values (19) 19
13.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)89.7%
Missing3
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean383357.38
Minimum367819.66
Maximum402754.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:16.009036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367819.66
5-th percentile376031.25
Q1380207.14
median382882.23
Q3384590.97
95-th percentile391716.3
Maximum402754.96
Range34935.298
Interquartile range (IQR)4383.8311

Descriptive statistics

Standard deviation5503.0042
Coefficient of variation (CV)0.014354762
Kurtosis3.7901331
Mean383357.38
Median Absolute Deviation (MAD)2113.6672
Skewness1.0969614
Sum26068302
Variance30283055
MonotonicityNot monotonic
2024-04-16T15:02:16.118472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
381544.168014437 3
 
4.2%
384664.43085616 2
 
2.8%
374145.981953602 2
 
2.8%
383191.901164603 2
 
2.8%
387152.522029707 2
 
2.8%
379810.736552659 2
 
2.8%
379950.158907885 1
 
1.4%
381436.169808092 1
 
1.4%
382906.059254291 1
 
1.4%
380120.56033108 1
 
1.4%
Other values (51) 51
71.8%
(Missing) 3
 
4.2%
ValueCountFrequency (%)
367819.664663153 1
1.4%
374145.981953602 2
2.8%
375540.825690943 1
1.4%
376942.037543002 1
1.4%
377735.59315483 1
1.4%
379495.522427468 1
1.4%
379764.389679699 1
1.4%
379810.736552659 2
2.8%
379817.679226262 1
1.4%
379950.158907885 1
1.4%
ValueCountFrequency (%)
402754.962786701 1
1.4%
401306.622050374 1
1.4%
397936.942363733 1
1.4%
392349.827168912 1
1.4%
390539.752689817 1
1.4%
390423.645930262 1
1.4%
390317.105572145 1
1.4%
389272.404422507 1
1.4%
388776.798296732 1
1.4%
388679.58873281 1
1.4%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)89.7%
Missing3
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean180824.75
Minimum174419.27
Maximum199849.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-04-16T15:02:16.230050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174419.27
5-th percentile175528.89
Q1176519.77
median177873.86
Q3184823.29
95-th percentile193934.8
Maximum199849.26
Range25429.988
Interquartile range (IQR)8303.5197

Descriptive statistics

Standard deviation6115.0645
Coefficient of variation (CV)0.03381763
Kurtosis1.0959203
Mean180824.75
Median Absolute Deviation (MAD)1738.3096
Skewness1.3835529
Sum12296083
Variance37394014
MonotonicityNot monotonic
2024-04-16T15:02:16.341245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
176519.765319749 3
 
4.2%
177871.739308163 2
 
2.8%
190113.650101423 2
 
2.8%
176135.554385135 2
 
2.8%
182829.333171041 2
 
2.8%
178593.746570639 2
 
2.8%
174419.270504403 1
 
1.4%
176462.174130781 1
 
1.4%
177471.984189382 1
 
1.4%
178451.300926121 1
 
1.4%
Other values (51) 51
71.8%
(Missing) 3
 
4.2%
ValueCountFrequency (%)
174419.270504403 1
1.4%
174559.454973096 1
1.4%
175439.057238153 1
1.4%
175520.650585192 1
1.4%
175544.19235211 1
1.4%
175569.83981258 1
1.4%
175685.538391763 1
1.4%
175962.567924767 1
1.4%
175993.708593444 1
1.4%
176065.871770331 1
1.4%
ValueCountFrequency (%)
199849.258857463 1
1.4%
197212.14418308 1
1.4%
195978.794169457 1
1.4%
194964.394599273 1
1.4%
192022.68146482 1
1.4%
190113.650101423 2
2.8%
189968.33312509 1
1.4%
188563.894104602 1
1.4%
188449.63878461 1
1.4%
188275.427637371 1
1.4%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
축산물보관업
71 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
축산물보관업 71
100.0%

Length

2024-04-16T15:02:16.463150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:02:16.549954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물보관업 71
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
L00
46 
000
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd row000
3rd rowL00
4th row000
5th rowL00

Common Values

ValueCountFrequency (%)
L00 46
64.8%
000 25
35.2%

Length

2024-04-16T15:02:16.634118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T15:02:16.715656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
l00 46
64.8%
000 25
35.2%

총종업원수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing71
Missing (%)100.0%
Memory size771.0 B

Sample

번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
01축산물보관업07_22_24_P326000032600000072018000120180829<NA>1영업/정상0정상<NA><NA><NA><NA>05126161612676.05<NA>부산광역시 서구 암남동 633-22번지부산광역시 서구 원양로 214 (암남동)49273고려냉장(주)감천부두냉동공장20180829144744I2018-08-31 23:59:59.0<NA>383161.604402176459.190567축산물보관업<NA><NA>L00<NA><NA>
12축산물보관업07_22_24_P326000032600000072020000120200809<NA>1영업/정상0정상<NA><NA><NA><NA><NA>911.48<NA>부산광역시 서구 암남동 717부산광역시 서구 원양로 119, 1층 (암남동)49273수협중앙회 감천항물류센터20200809232254I2020-08-11 00:23:14.0<NA>383533.518327175685.538392축산물보관업<NA><NA>000<NA><NA>
23축산물보관업07_22_24_P326000032600000072008000120080624<NA>1영업/정상0정상<NA><NA><NA><NA>231-15003098.15<NA>부산광역시 서구 암남동 720부산광역시 서구 원양로 73 (암남동)49273(주)보림로지스틱스 부산냉장20200828133451U2020-08-30 02:40:00.0<NA>383286.815575175544.192352축산물보관업<NA><NA>L00<NA><NA>
34축산물보관업07_22_24_P326000032600000072014000120140620<NA>1영업/정상0정상<NA><NA><NA><NA>254-80110.0<NA><NA>부산광역시 서구 충무대로 234 (남부민동)49255우양냉장(주)20140620103823I2018-08-31 23:59:59.0<NA>384566.486313178809.387106축산물보관업<NA><NA>000<NA><NA>
45축산물보관업07_22_24_P326000032600000072001000320011029<NA>1영업/정상0정상<NA><NA><NA><NA>244-61613646.26<NA>부산광역시 서구 암남동 171-20번지부산광역시 서구 송도해변로 197 (암남동)49269고려냉장(주)연안공장20190626174740U2019-06-28 02:40:00.0<NA>384361.74143177381.420068축산물보관업<NA><NA>L00<NA><NA>
56축산물보관업07_22_24_P326000032600000072003000120030331<NA>1영업/정상0정상<NA><NA><NA><NA>051-600-19191114.65<NA>부산광역시 서구 암남동 740번지부산광역시 서구 원양로 147 (암남동)49273동원산업(주) 부산냉장센터20190822164429U2019-08-24 02:40:00.0<NA>383415.639943175962.567925축산물보관업<NA><NA>L00<NA><NA>
67축산물보관업07_22_24_P326000032600000072008000220080903<NA>1영업/정상0정상<NA><NA><NA><NA>600-3939923.2<NA>부산광역시 서구 암남동 705번지부산광역시 서구 원양로 295 (암남동)49273(주)동영콜드프라자20180126155121I2018-08-31 23:59:59.0<NA>382821.270534177260.504834축산물보관업<NA><NA>L00<NA><NA>
78축산물보관업07_22_24_P326000032600000072008000320081118<NA>1영업/정상0정상<NA><NA><NA><NA>257-8077928.8<NA>부산광역시 서구 남부민동 523-52번지부산광역시 서구 충무대로 140 (남부민동)49264동양섬유(주)송도지점20111121115203I2018-08-31 23:59:59.0<NA>384664.430856177871.739308축산물보관업<NA><NA>L00<NA><NA>
89축산물보관업07_22_24_P326000032600000072009000320090827<NA>1영업/정상0정상<NA><NA><NA><NA>253-85001393.0<NA>부산광역시 서구 암남동 736번지부산광역시 서구 원양로 179 (암남동)<NA>아시아냉장(주)20180821142516I2018-08-31 23:59:59.0<NA>383191.901165176135.554385축산물보관업<NA><NA>L00<NA><NA>
910축산물보관업07_22_24_P326000032600000072013000220131204<NA>3폐업2폐업20180115<NA><NA>20180115254-72340.0<NA><NA>부산광역시 서구 충무대로 214 (남부민동)49255(주)케이엠20180115170606I2018-08-31 23:59:59.0<NA>384560.270958178650.41017축산물보관업<NA><NA>L00<NA><NA>
번호개방서비스명개방서비스id개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(x)좌표정보(y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총종업원수Unnamed: 33
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