Overview

Dataset statistics

Number of variables30
Number of observations186
Missing cells1748
Missing cells (%)31.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.3 KiB
Average record size in memory254.7 B

Variable types

Numeric6
Text5
Unsupported5
Categorical8
DateTime6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-16010/S/1/datasetView.do

Alerts

상세영업상태코드 is highly imbalanced (51.2%)Imbalance
상세영업상태명 is highly imbalanced (51.2%)Imbalance
인허가취소일자 has 186 (100.0%) missing valuesMissing
폐업일자 has 60 (32.3%) missing valuesMissing
휴업시작일자 has 182 (97.8%) missing valuesMissing
휴업종료일자 has 184 (98.9%) missing valuesMissing
재개업일자 has 153 (82.3%) missing valuesMissing
전화번호 has 29 (15.6%) missing valuesMissing
소재지면적 has 13 (7.0%) missing valuesMissing
소재지우편번호 has 186 (100.0%) missing valuesMissing
지번주소 has 4 (2.2%) missing valuesMissing
도로명주소 has 69 (37.1%) missing valuesMissing
도로명우편번호 has 86 (46.2%) missing valuesMissing
업태구분명 has 186 (100.0%) missing valuesMissing
좌표정보(X) has 19 (10.2%) missing valuesMissing
좌표정보(Y) has 19 (10.2%) missing valuesMissing
축산물가공업구분명 has 186 (100.0%) missing valuesMissing
축산일련번호 has 186 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
소재지면적 has 98 (52.7%) zerosZeros

Reproduction

Analysis started2024-05-11 07:08:23.028919
Analysis finished2024-05-11 07:08:23.542942
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct24
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3152311.8
Minimum3000000
Maximum3240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T16:08:23.601060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3020000
Q13070000
median3180000
Q33220000
95-th percentile3230000
Maximum3240000
Range240000
Interquartile range (IQR)150000

Descriptive statistics

Standard deviation77148.713
Coefficient of variation (CV)0.024473693
Kurtosis-1.2445705
Mean3152311.8
Median Absolute Deviation (MAD)50000
Skewness-0.56618947
Sum5.8633 × 108
Variance5.9519239 × 109
MonotonicityNot monotonic
2024-05-11T16:08:23.737310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3210000 34
18.3%
3230000 30
16.1%
3050000 18
 
9.7%
3180000 13
 
7.0%
3220000 12
 
6.5%
3240000 7
 
3.8%
3040000 7
 
3.8%
3020000 7
 
3.8%
3030000 6
 
3.2%
3130000 6
 
3.2%
Other values (14) 46
24.7%
ValueCountFrequency (%)
3000000 2
 
1.1%
3010000 3
 
1.6%
3020000 7
 
3.8%
3030000 6
 
3.2%
3040000 7
 
3.8%
3050000 18
9.7%
3060000 3
 
1.6%
3070000 2
 
1.1%
3090000 2
 
1.1%
3100000 5
 
2.7%
ValueCountFrequency (%)
3240000 7
 
3.8%
3230000 30
16.1%
3220000 12
 
6.5%
3210000 34
18.3%
3200000 3
 
1.6%
3190000 4
 
2.2%
3180000 13
 
7.0%
3170000 1
 
0.5%
3160000 3
 
1.6%
3150000 5
 
2.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1523118 × 1017
Minimum3 × 1017
Maximum3.24 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T16:08:23.856667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3 × 1017
5-th percentile3.02 × 1017
Q13.07 × 1017
median3.18 × 1017
Q33.22 × 1017
95-th percentile3.23 × 1017
Maximum3.24 × 1017
Range2.4 × 1016
Interquartile range (IQR)1.5 × 1016

Descriptive statistics

Standard deviation7.7148713 × 1015
Coefficient of variation (CV)0.024473693
Kurtosis-1.2445705
Mean3.1523118 × 1017
Median Absolute Deviation (MAD)5 × 1015
Skewness-0.56618947
Sum3.292768 × 1018
Variance5.9519239 × 1031
MonotonicityNot monotonic
2024-05-11T16:08:24.003871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
322000001220210001 1
 
0.5%
321000001220020002 1
 
0.5%
321000001220030006 1
 
0.5%
321000001220030007 1
 
0.5%
321000001220030004 1
 
0.5%
321000001220000002 1
 
0.5%
321000001220130001 1
 
0.5%
321000001220110001 1
 
0.5%
321000001220130002 1
 
0.5%
321000001219920001 1
 
0.5%
Other values (176) 176
94.6%
ValueCountFrequency (%)
300000001220000001 1
0.5%
300000001220210001 1
0.5%
301000001220080001 1
0.5%
301000001220170001 1
0.5%
301000001220190001 1
0.5%
302000001219990001 1
0.5%
302000001220000001 1
0.5%
302000001220050001 1
0.5%
302000001220070001 1
0.5%
302000001220080001 1
0.5%
ValueCountFrequency (%)
324000001220210001 1
0.5%
324000001220120001 1
0.5%
324000001220110001 1
0.5%
324000001220080001 1
0.5%
324000001220030002 1
0.5%
324000001220030001 1
0.5%
324000001219850001 1
0.5%
323000001220220001 1
0.5%
323000001220200001 1
0.5%
323000001220190002 1
0.5%

인허가일자
Text

Distinct181
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T16:08:24.286874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.2258065
Min length8

Characters and Unicode

Total characters1530
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)94.6%

Sample

1st row2021-10-27
2nd row2023-08-08
3rd row2023-03-24
4th row2015-11-25
5th row2023-06-08
ValueCountFrequency (%)
20040322 2
 
1.1%
20020411 2
 
1.1%
20030529 2
 
1.1%
20020404 2
 
1.1%
19990503 2
 
1.1%
20130430 1
 
0.5%
20021016 1
 
0.5%
2021-10-27 1
 
0.5%
19921130 1
 
0.5%
20030828 1
 
0.5%
Other values (171) 171
91.9%
2024-05-11T16:08:24.709513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 492
32.2%
2 319
20.8%
1 250
16.3%
9 97
 
6.3%
3 80
 
5.2%
4 57
 
3.7%
5 55
 
3.6%
7 50
 
3.3%
6 46
 
3.0%
- 42
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1488
97.3%
Dash Punctuation 42
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 492
33.1%
2 319
21.4%
1 250
16.8%
9 97
 
6.5%
3 80
 
5.4%
4 57
 
3.8%
5 55
 
3.7%
7 50
 
3.4%
6 46
 
3.1%
8 42
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1530
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 492
32.2%
2 319
20.8%
1 250
16.3%
9 97
 
6.3%
3 80
 
5.2%
4 57
 
3.7%
5 55
 
3.6%
7 50
 
3.3%
6 46
 
3.0%
- 42
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 492
32.2%
2 319
20.8%
1 250
16.3%
9 97
 
6.3%
3 80
 
5.2%
4 57
 
3.7%
5 55
 
3.6%
7 50
 
3.3%
6 46
 
3.0%
- 42
 
2.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
3
125 
1
54 
2
 
4
4
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 125
67.2%
1 54
29.0%
2 4
 
2.2%
4 3
 
1.6%

Length

2024-05-11T16:08:24.847350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:24.954429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 125
67.2%
1 54
29.0%
2 4
 
2.2%
4 3
 
1.6%

영업상태명
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
125 
영업/정상
54 
휴업
 
4
취소/말소/만료/정지/중지
 
3

Length

Max length14
Median length2
Mean length3.0645161
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 125
67.2%
영업/정상 54
29.0%
휴업 4
 
2.2%
취소/말소/만료/정지/중지 3
 
1.6%

Length

2024-05-11T16:08:25.092338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:25.225088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 125
67.2%
영업/정상 54
29.0%
휴업 4
 
2.2%
취소/말소/만료/정지/중지 3
 
1.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2
125 
0
54 
1
 
4
4
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
2 125
67.2%
0 54
29.0%
1 4
 
2.2%
4 2
 
1.1%
3 1
 
0.5%

Length

2024-05-11T16:08:25.349582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:25.461955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 125
67.2%
0 54
29.0%
1 4
 
2.2%
4 2
 
1.1%
3 1
 
0.5%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
폐업
125 
정상
54 
휴업
 
4
말소
 
2
행정처분
 
1

Length

Max length4
Median length2
Mean length2.0107527
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 125
67.2%
정상 54
29.0%
휴업 4
 
2.2%
말소 2
 
1.1%
행정처분 1
 
0.5%

Length

2024-05-11T16:08:25.600200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:25.724844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 125
67.2%
정상 54
29.0%
휴업 4
 
2.2%
말소 2
 
1.1%
행정처분 1
 
0.5%

폐업일자
Date

MISSING 

Distinct122
Distinct (%)96.8%
Missing60
Missing (%)32.3%
Memory size1.6 KiB
Minimum2000-06-07 00:00:00
Maximum2024-02-15 00:00:00
2024-05-11T16:08:25.838439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:25.972349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing182
Missing (%)97.8%
Memory size1.6 KiB
Minimum2011-07-06 00:00:00
Maximum2023-07-11 00:00:00
2024-05-11T16:08:26.083862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:26.189187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing184
Missing (%)98.9%
Memory size1.6 KiB
Minimum2011-09-30 00:00:00
Maximum2023-12-31 00:00:00
2024-05-11T16:08:26.302902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:26.406170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Date

MISSING 

Distinct33
Distinct (%)100.0%
Missing153
Missing (%)82.3%
Memory size1.6 KiB
Minimum2014-12-05 00:00:00
Maximum2024-02-15 00:00:00
2024-05-11T16:08:26.534645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:26.658175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

전화번호
Text

MISSING 

Distinct153
Distinct (%)97.5%
Missing29
Missing (%)15.6%
Memory size1.6 KiB
2024-05-11T16:08:26.899184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.5859873
Min length7

Characters and Unicode

Total characters1505
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)94.9%

Sample

1st row02-2226-3604
2nd row02-2175-2308
3rd row02-6933-8555
4th row02-517-7117
5th row02-869-0211
ValueCountFrequency (%)
596-3481-3 2
 
1.3%
02-6927-5475 2
 
1.3%
796-3642 2
 
1.3%
923-3470 2
 
1.3%
576-5060 1
 
0.6%
401-6668 1
 
0.6%
2006-0702 1
 
0.6%
02-2226-3604 1
 
0.6%
02-597-1428 1
 
0.6%
581-3861 1
 
0.6%
Other values (145) 145
91.2%
2024-05-11T16:08:27.299903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 204
13.6%
0 193
12.8%
2 174
11.6%
3 153
10.2%
4 135
9.0%
6 130
8.6%
7 116
7.7%
8 104
6.9%
5 101
6.7%
1 98
6.5%
Other values (4) 97
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1295
86.0%
Dash Punctuation 204
 
13.6%
Close Punctuation 3
 
0.2%
Space Separator 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 193
14.9%
2 174
13.4%
3 153
11.8%
4 135
10.4%
6 130
10.0%
7 116
9.0%
8 104
8.0%
5 101
7.8%
1 98
7.6%
9 91
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 204
13.6%
0 193
12.8%
2 174
11.6%
3 153
10.2%
4 135
9.0%
6 130
8.6%
7 116
7.7%
8 104
6.9%
5 101
6.7%
1 98
6.5%
Other values (4) 97
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 204
13.6%
0 193
12.8%
2 174
11.6%
3 153
10.2%
4 135
9.0%
6 130
8.6%
7 116
7.7%
8 104
6.9%
5 101
6.7%
1 98
6.5%
Other values (4) 97
6.4%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)43.4%
Missing13
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean1544.589
Minimum0
Maximum125580
Zeros98
Zeros (%)52.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T16:08:27.461309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q369.78
95-th percentile555.208
Maximum125580
Range125580
Interquartile range (IQR)69.78

Descriptive statistics

Standard deviation13103.905
Coefficient of variation (CV)8.4837489
Kurtosis83.784383
Mean1544.589
Median Absolute Deviation (MAD)0
Skewness9.1945937
Sum267213.9
Variance1.7171234 × 108
MonotonicityNot monotonic
2024-05-11T16:08:27.606669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 98
52.7%
1255.8 2
 
1.1%
38.86 1
 
0.5%
21.83 1
 
0.5%
95.18 1
 
0.5%
66.11 1
 
0.5%
381.0 1
 
0.5%
115.35 1
 
0.5%
167.0 1
 
0.5%
30.0 1
 
0.5%
Other values (65) 65
34.9%
(Missing) 13
 
7.0%
ValueCountFrequency (%)
0.0 98
52.7%
21.0 1
 
0.5%
21.83 1
 
0.5%
22.08 1
 
0.5%
22.14 1
 
0.5%
23.57 1
 
0.5%
24.42 1
 
0.5%
25.22 1
 
0.5%
30.0 1
 
0.5%
30.42 1
 
0.5%
ValueCountFrequency (%)
125580.0 1
0.5%
118733.0 1
0.5%
8013.0 1
0.5%
2823.97 1
0.5%
1255.8 2
1.1%
1242.82 1
0.5%
868.22 1
0.5%
792.97 1
0.5%
396.7 1
0.5%
381.0 1
0.5%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

지번주소
Text

MISSING 

Distinct182
Distinct (%)100.0%
Missing4
Missing (%)2.2%
Memory size1.6 KiB
2024-05-11T16:08:27.965412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length24.857143
Min length14

Characters and Unicode

Total characters4524
Distinct characters202
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 세곡동 124-2 101호
2nd row서울특별시 성동구 용답동 236-2 대신빌딩
3rd row서울특별시 서대문구 충정로3가 368 종근당빌딩 4층
4th row서울특별시 서초구 서초동 1599-2 LG서초에클라트 2108호
5th row서울특별시 동대문구 장안동 301-1 서울장안2동우체국
ValueCountFrequency (%)
서울특별시 181
 
20.1%
서초구 34
 
3.8%
송파구 28
 
3.1%
동대문구 16
 
1.8%
2층 13
 
1.4%
영등포구 13
 
1.4%
서초동 12
 
1.3%
강남구 12
 
1.3%
방배동 9
 
1.0%
양재동 9
 
1.0%
Other values (398) 573
63.7%
2024-05-11T16:08:28.498558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
895
19.8%
서 247
 
5.5%
동 219
 
4.8%
구 191
 
4.2%
시 184
 
4.1%
울 183
 
4.0%
특 181
 
4.0%
별 181
 
4.0%
1 180
 
4.0%
- 150
 
3.3%
Other values (192) 1913
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2540
56.1%
Decimal Number 919
 
20.3%
Space Separator 895
 
19.8%
Dash Punctuation 150
 
3.3%
Uppercase Letter 19
 
0.4%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 247
 
9.7%
동 219
 
8.6%
구 191
 
7.5%
시 184
 
7.2%
울 183
 
7.2%
특 181
 
7.1%
별 181
 
7.1%
빌 56
 
2.2%
층 56
 
2.2%
딩 55
 
2.2%
Other values (171) 987
38.9%
Decimal Number
ValueCountFrequency (%)
1 180
19.6%
2 141
15.3%
3 104
11.3%
4 102
11.1%
5 83
9.0%
0 76
8.3%
6 71
 
7.7%
9 56
 
6.1%
7 53
 
5.8%
8 53
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
L 3
15.8%
B 3
15.8%
G 3
15.8%
T 2
10.5%
M 2
10.5%
D 2
10.5%
A 2
10.5%
C 2
10.5%
Space Separator
ValueCountFrequency (%)
895
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2540
56.1%
Common 1965
43.4%
Latin 19
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 247
 
9.7%
동 219
 
8.6%
구 191
 
7.5%
시 184
 
7.2%
울 183
 
7.2%
특 181
 
7.1%
별 181
 
7.1%
빌 56
 
2.2%
층 56
 
2.2%
딩 55
 
2.2%
Other values (171) 987
38.9%
Common
ValueCountFrequency (%)
895
45.5%
1 180
 
9.2%
- 150
 
7.6%
2 141
 
7.2%
3 104
 
5.3%
4 102
 
5.2%
5 83
 
4.2%
0 76
 
3.9%
6 71
 
3.6%
9 56
 
2.8%
Other values (3) 107
 
5.4%
Latin
ValueCountFrequency (%)
L 3
15.8%
B 3
15.8%
G 3
15.8%
T 2
10.5%
M 2
10.5%
D 2
10.5%
A 2
10.5%
C 2
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2540
56.1%
ASCII 1984
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
895
45.1%
1 180
 
9.1%
- 150
 
7.6%
2 141
 
7.1%
3 104
 
5.2%
4 102
 
5.1%
5 83
 
4.2%
0 76
 
3.8%
6 71
 
3.6%
9 56
 
2.8%
Other values (11) 126
 
6.4%
Hangul
ValueCountFrequency (%)
서 247
 
9.7%
동 219
 
8.6%
구 191
 
7.5%
시 184
 
7.2%
울 183
 
7.2%
특 181
 
7.1%
별 181
 
7.1%
빌 56
 
2.2%
층 56
 
2.2%
딩 55
 
2.2%
Other values (171) 987
38.9%

도로명주소
Text

MISSING 

Distinct117
Distinct (%)100.0%
Missing69
Missing (%)37.1%
Memory size1.6 KiB
2024-05-11T16:08:28.809665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length33.42735
Min length23

Characters and Unicode

Total characters3911
Distinct characters237
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 밤고개로34길 4, 101호 (세곡동)
2nd row서울특별시 성동구 천호대로 448, 대신빌딩 302호 (용답동)
3rd row서울특별시 서대문구 충정로 8, 종근당빌딩 4층 (충정로3가)
4th row서울특별시 서초구 반포대로14길 71, LG서초에클라트 2108호 (서초동)
5th row서울특별시 동대문구 사가정로 240, 서울장안2동우체국 3층 301호 (장안동)
ValueCountFrequency (%)
서울특별시 117
 
15.5%
서초구 27
 
3.6%
2층 20
 
2.7%
동대문구 16
 
2.1%
영등포구 12
 
1.6%
송파구 10
 
1.3%
장안동 9
 
1.2%
1층 8
 
1.1%
서초동 8
 
1.1%
10 6
 
0.8%
Other values (398) 520
69.1%
2024-05-11T16:08:29.291533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
636
 
16.3%
서 176
 
4.5%
동 159
 
4.1%
로 125
 
3.2%
구 124
 
3.2%
울 122
 
3.1%
시 120
 
3.1%
, 118
 
3.0%
) 118
 
3.0%
( 118
 
3.0%
Other values (227) 2095
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2304
58.9%
Space Separator 636
 
16.3%
Decimal Number 595
 
15.2%
Other Punctuation 118
 
3.0%
Close Punctuation 118
 
3.0%
Open Punctuation 118
 
3.0%
Uppercase Letter 13
 
0.3%
Dash Punctuation 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 176
 
7.6%
동 159
 
6.9%
로 125
 
5.4%
구 124
 
5.4%
울 122
 
5.3%
시 120
 
5.2%
특 117
 
5.1%
별 117
 
5.1%
길 64
 
2.8%
대 64
 
2.8%
Other values (206) 1116
48.4%
Decimal Number
ValueCountFrequency (%)
1 117
19.7%
2 106
17.8%
0 66
11.1%
4 60
10.1%
3 55
9.2%
5 47
7.9%
6 46
 
7.7%
8 37
 
6.2%
7 32
 
5.4%
9 29
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
G 3
23.1%
L 3
23.1%
A 3
23.1%
T 2
15.4%
D 1
 
7.7%
B 1
 
7.7%
Space Separator
ValueCountFrequency (%)
636
100.0%
Other Punctuation
ValueCountFrequency (%)
, 118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2304
58.9%
Common 1594
40.8%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 176
 
7.6%
동 159
 
6.9%
로 125
 
5.4%
구 124
 
5.4%
울 122
 
5.3%
시 120
 
5.2%
특 117
 
5.1%
별 117
 
5.1%
길 64
 
2.8%
대 64
 
2.8%
Other values (206) 1116
48.4%
Common
ValueCountFrequency (%)
636
39.9%
, 118
 
7.4%
) 118
 
7.4%
( 118
 
7.4%
1 117
 
7.3%
2 106
 
6.6%
0 66
 
4.1%
4 60
 
3.8%
3 55
 
3.5%
5 47
 
2.9%
Other values (5) 153
 
9.6%
Latin
ValueCountFrequency (%)
G 3
23.1%
L 3
23.1%
A 3
23.1%
T 2
15.4%
D 1
 
7.7%
B 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2304
58.9%
ASCII 1607
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
636
39.6%
, 118
 
7.3%
) 118
 
7.3%
( 118
 
7.3%
1 117
 
7.3%
2 106
 
6.6%
0 66
 
4.1%
4 60
 
3.7%
3 55
 
3.4%
5 47
 
2.9%
Other values (11) 166
 
10.3%
Hangul
ValueCountFrequency (%)
서 176
 
7.6%
동 159
 
6.9%
로 125
 
5.4%
구 124
 
5.4%
울 122
 
5.3%
시 120
 
5.2%
특 117
 
5.1%
별 117
 
5.1%
길 64
 
2.8%
대 64
 
2.8%
Other values (206) 1116
48.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct89
Distinct (%)89.0%
Missing86
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean4988.46
Minimum1301
Maximum8857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T16:08:29.446905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1301
5-th percentile1840.45
Q13102.25
median5046.5
Q36678.5
95-th percentile8001.5
Maximum8857
Range7556
Interquartile range (IQR)3576.25

Descriptive statistics

Standard deviation2017.4117
Coefficient of variation (CV)0.40441573
Kurtosis-1.1300142
Mean4988.46
Median Absolute Deviation (MAD)1680.5
Skewness-0.04371725
Sum498846
Variance4069950
MonotonicityNot monotonic
2024-05-11T16:08:29.622789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6651 3
 
1.6%
5545 2
 
1.1%
4808 2
 
1.1%
2589 2
 
1.1%
6632 2
 
1.1%
4419 2
 
1.1%
7412 2
 
1.1%
3659 2
 
1.1%
3329 2
 
1.1%
2624 2
 
1.1%
Other values (79) 79
42.5%
(Missing) 86
46.2%
ValueCountFrequency (%)
1301 1
0.5%
1456 1
0.5%
1630 1
0.5%
1646 1
0.5%
1811 1
0.5%
1842 1
0.5%
2019 1
0.5%
2114 1
0.5%
2490 1
0.5%
2509 1
0.5%
ValueCountFrequency (%)
8857 1
0.5%
8791 1
0.5%
8753 1
0.5%
8323 1
0.5%
8296 1
0.5%
7986 1
0.5%
7645 1
0.5%
7608 1
0.5%
7412 2
1.1%
7403 1
0.5%

사업장명
Text

Distinct169
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-05-11T16:08:29.927379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.7580645
Min length3

Characters and Unicode

Total characters1443
Distinct characters210
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)82.8%

Sample

1st row주식회사 에스씨엠홀딩스
2nd row로아팜
3rd row(주)경보제약
4th row(주)두레파마
5th row가나바이오텍 주식회사
ValueCountFrequency (%)
주식회사 20
 
9.3%
한국엠에스디동물약품(주 3
 
1.4%
케어사이드코리아 3
 
1.4%
주)아이넷피드 2
 
0.9%
주 2
 
0.9%
주)협성가축약품 2
 
0.9%
서울수의약품(주 2
 
0.9%
일진에프앤피(주 2
 
0.9%
브이에스팜 2
 
0.9%
대양신약 2
 
0.9%
Other values (169) 176
81.5%
2024-05-11T16:08:30.357328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 130
 
9.0%
) 106
 
7.3%
( 106
 
7.3%
이 55
 
3.8%
사 43
 
3.0%
스 42
 
2.9%
약 37
 
2.6%
에 35
 
2.4%
품 31
 
2.1%
30
 
2.1%
Other values (200) 828
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1183
82.0%
Close Punctuation 106
 
7.3%
Open Punctuation 106
 
7.3%
Space Separator 30
 
2.1%
Uppercase Letter 11
 
0.8%
Other Punctuation 3
 
0.2%
Dash Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 130
 
11.0%
이 55
 
4.6%
사 43
 
3.6%
스 42
 
3.6%
약 37
 
3.1%
에 35
 
3.0%
품 31
 
2.6%
아 28
 
2.4%
회 27
 
2.3%
식 26
 
2.2%
Other values (183) 729
61.6%
Uppercase Letter
ValueCountFrequency (%)
F 2
18.2%
I 2
18.2%
S 1
9.1%
P 1
9.1%
T 1
9.1%
R 1
9.1%
C 1
9.1%
L 1
9.1%
A 1
9.1%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
. 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
n 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1183
82.0%
Common 247
 
17.1%
Latin 13
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 130
 
11.0%
이 55
 
4.6%
사 43
 
3.6%
스 42
 
3.6%
약 37
 
3.1%
에 35
 
3.0%
품 31
 
2.6%
아 28
 
2.4%
회 27
 
2.3%
식 26
 
2.2%
Other values (183) 729
61.6%
Latin
ValueCountFrequency (%)
F 2
15.4%
I 2
15.4%
S 1
7.7%
P 1
7.7%
T 1
7.7%
R 1
7.7%
c 1
7.7%
n 1
7.7%
C 1
7.7%
L 1
7.7%
Common
ValueCountFrequency (%)
) 106
42.9%
( 106
42.9%
30
 
12.1%
- 2
 
0.8%
& 2
 
0.8%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1183
82.0%
ASCII 260
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 130
 
11.0%
이 55
 
4.6%
사 43
 
3.6%
스 42
 
3.6%
약 37
 
3.1%
에 35
 
3.0%
품 31
 
2.6%
아 28
 
2.4%
회 27
 
2.3%
식 26
 
2.2%
Other values (183) 729
61.6%
ASCII
ValueCountFrequency (%)
) 106
40.8%
( 106
40.8%
30
 
11.5%
- 2
 
0.8%
F 2
 
0.8%
I 2
 
0.8%
& 2
 
0.8%
S 1
 
0.4%
P 1
 
0.4%
T 1
 
0.4%
Other values (7) 7
 
2.7%

최종수정일자
Date

UNIQUE 

Distinct186
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2003-02-18 15:07:54
Maximum2024-04-25 14:10:23
2024-05-11T16:08:30.491407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:30.622678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
I
131 
U
55 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 131
70.4%
U 55
29.6%

Length

2024-05-11T16:08:31.014531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:31.117662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 131
70.4%
u 55
29.6%

데이터갱신일자
Date

Distinct65
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-05-11T16:08:31.230851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:08:31.391566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)95.8%
Missing19
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean201860.08
Minimum182914.6
Maximum213051.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T16:08:31.532532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182914.6
5-th percentile189808.03
Q1196272.97
median203327.74
Q3207183.51
95-th percentile212014.72
Maximum213051.91
Range30137.312
Interquartile range (IQR)10910.545

Descriptive statistics

Standard deviation7548.9796
Coefficient of variation (CV)0.03739709
Kurtosis-0.63340865
Mean201860.08
Median Absolute Deviation (MAD)5714.7445
Skewness-0.52070083
Sum33710633
Variance56987092
MonotonicityNot monotonic
2024-05-11T16:08:31.669435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198709.039325906 3
 
1.6%
194017.823630013 2
 
1.1%
196715.727830381 2
 
1.1%
200597.940803088 2
 
1.1%
192768.939095891 2
 
1.1%
201213.64069933 2
 
1.1%
202197.564113535 1
 
0.5%
203172.412230317 1
 
0.5%
203825.862435034 1
 
0.5%
201675.434776667 1
 
0.5%
Other values (150) 150
80.6%
(Missing) 19
 
10.2%
ValueCountFrequency (%)
182914.598086861 1
0.5%
183271.799393299 1
0.5%
183840.31735279 1
0.5%
184645.579724418 1
0.5%
185994.964119824 1
0.5%
186301.875540288 1
0.5%
187989.933854336 1
0.5%
189052.101789082 1
0.5%
189749.776358917 1
0.5%
189943.958564583 1
0.5%
ValueCountFrequency (%)
213051.909977437 1
0.5%
212921.259246206 1
0.5%
212813.068563627 1
0.5%
212700.316125213 1
0.5%
212684.984662576 1
0.5%
212645.539631084 1
0.5%
212487.364320634 1
0.5%
212426.8880544 1
0.5%
212078.206213133 1
0.5%
211866.581462869 1
0.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)95.8%
Missing19
Missing (%)10.2%
Infinite0
Infinite (%)0.0%
Mean447580.41
Minimum439505.46
Maximum465125.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-05-11T16:08:31.823542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439505.46
5-th percentile441412.15
Q1443641.64
median446579.65
Q3450937.83
95-th percentile457555.87
Maximum465125.9
Range25620.441
Interquartile range (IQR)7296.1895

Descriptive statistics

Standard deviation4978.781
Coefficient of variation (CV)0.011123769
Kurtosis0.82946463
Mean447580.41
Median Absolute Deviation (MAD)3452.1171
Skewness0.92461812
Sum74745929
Variance24788260
MonotonicityNot monotonic
2024-05-11T16:08:31.979107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443641.643515187 3
 
1.6%
445610.919894144 2
 
1.1%
447010.511469994 2
 
1.1%
448069.782121815 2
 
1.1%
457659.063988654 2
 
1.1%
442739.647017252 2
 
1.1%
440846.584542085 1
 
0.5%
442476.415043286 1
 
0.5%
441733.620009246 1
 
0.5%
443522.877533753 1
 
0.5%
Other values (150) 150
80.6%
(Missing) 19
 
10.2%
ValueCountFrequency (%)
439505.461452997 1
0.5%
440208.558412381 1
0.5%
440523.497478209 1
0.5%
440629.337291334 1
0.5%
440821.722842878 1
0.5%
440846.584542085 1
0.5%
441102.467049927 1
0.5%
441216.131468236 1
0.5%
441397.63720427 1
0.5%
441446.0 1
0.5%
ValueCountFrequency (%)
465125.902410114 1
0.5%
463464.81234366 1
0.5%
462829.18165682 1
0.5%
460602.966552336 1
0.5%
458960.471391303 1
0.5%
458193.262662121 1
0.5%
457752.969179825 1
0.5%
457659.063988654 2
1.1%
457315.078254949 1
0.5%
455538.81331826 1
0.5%

축산업무구분명
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
동물용의약품도매상
151 
<NA>
35 

Length

Max length9
Median length9
Mean length8.0591398
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의약품도매상 151
81.2%
<NA> 35
 
18.8%

Length

2024-05-11T16:08:32.118990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:32.224703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의약품도매상 151
81.2%
na 35
 
18.8%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing186
Missing (%)100.0%
Memory size1.8 KiB

권리주체일련번호
Categorical

Distinct4
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
000
86 
L00
64 
<NA>
35 
F00
 
1

Length

Max length4
Median length3
Mean length3.188172
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
000 86
46.2%
L00 64
34.4%
<NA> 35
18.8%
F00 1
 
0.5%

Length

2024-05-11T16:08:32.330251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:32.444446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 86
46.2%
l00 64
34.4%
na 35
18.8%
f00 1
 
0.5%

총인원
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
<NA>
165 
0
21 

Length

Max length4
Median length4
Mean length3.6612903
Min length1

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> 165
88.7%
0 21
 
11.3%

Length

2024-05-11T16:08:32.565209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:08:32.665005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 165
88.7%
0 21
 
11.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
032200003220000012202100012021-10-27<NA>2휴업1휴업<NA>2023-07-112023-12-31<NA>02-2226-36040.0<NA>서울특별시 강남구 세곡동 124-2 101호서울특별시 강남구 밤고개로34길 4, 101호 (세곡동)6365주식회사 에스씨엠홀딩스2023-07-13 14:13:10U2022-12-06 23:05:00.0<NA>209423.649311440208.558412<NA><NA><NA><NA><NA>
130300003030000012202300012023-08-08<NA>1영업/정상0정상<NA><NA><NA><NA><NA>1242.82<NA>서울특별시 성동구 용답동 236-2 대신빌딩서울특별시 성동구 천호대로 448, 대신빌딩 302호 (용답동)4808로아팜2023-08-08 17:50:21I2022-12-07 23:00:00.0<NA>205996.363237450904.337068<NA><NA><NA><NA><NA>
231200003120000012202300012023-03-24<NA>1영업/정상0정상<NA><NA><NA><NA>02-2175-2308<NA><NA>서울특별시 서대문구 충정로3가 368 종근당빌딩 4층서울특별시 서대문구 충정로 8, 종근당빌딩 4층 (충정로3가)3742(주)경보제약2023-03-24 13:11:21I2022-12-02 22:06:00.0<NA>196680.837898450862.36191<NA><NA><NA><NA><NA>
332100003210000012201500022015-11-25<NA>1영업/정상0정상<NA><NA><NA><NA>02-6933-855548.67<NA>서울특별시 서초구 서초동 1599-2 LG서초에클라트 2108호서울특별시 서초구 반포대로14길 71, LG서초에클라트 2108호 (서초동)6651(주)두레파마2023-03-24 14:39:59U2022-12-02 22:06:00.0<NA>201213.640699442739.647017<NA><NA><NA><NA><NA>
430500003050000012202300022023-06-08<NA>1영업/정상0정상<NA><NA><NA><NA>02-517-71170.0<NA>서울특별시 동대문구 장안동 301-1 서울장안2동우체국서울특별시 동대문구 사가정로 240, 서울장안2동우체국 3층 301호 (장안동)2526가나바이오텍 주식회사2023-06-08 14:20:51I2022-12-05 23:00:00.0<NA>206251.667198452921.799468<NA><NA><NA><NA><NA>
531600003160000012202300012023-05-30<NA>1영업/정상0정상<NA><NA><NA><NA>02-869-02110.0<NA>서울특별시 구로구 구로동 44 백제빌딩서울특별시 구로구 공원로8길 24, 백제빌딩 (구로동)8296백제약품(주) 영등포지점2023-12-05 16:58:39U2022-11-02 00:07:00.0<NA>190274.989819444543.365207<NA><NA><NA><NA><NA>
630200003020000012202300012023-05-31<NA>1영업/정상0정상<NA><NA><NA><NA>070-5158-65660.0<NA>서울특별시 용산구 원효로4가 118-1 신정빌딩서울특별시 용산구 원효로 70, 신정빌딩 5층 (원효로4가)4365(주)제이비즈2023-10-20 10:01:14U2022-10-30 22:02:00.0<NA>195653.553342447808.183799<NA><NA><NA><NA><NA>
730500003050000012202400012024-01-29<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 동대문구 장안동 371-1 장안삼성쉐르빌서울특별시 동대문구 장한로 119, 2층 222호 (장안동, 장안삼성쉐르빌)2624(주)이유엘2024-01-29 16:09:41I2023-11-30 21:01:00.0<NA>206101.913844452155.691149<NA><NA><NA><NA><NA>
830500003050000012202400032024-03-15<NA>1영업/정상0정상<NA><NA><NA><NA>0222139792<NA><NA>서울특별시 동대문구 장안동 370-3서울특별시 동대문구 답십리로 272, 2층 (장안동)2624(주)이채팜2024-03-15 11:05:31I2023-12-02 23:07:00.0<NA>206151.12568452213.55584<NA><NA><NA><NA><NA>
930500003050000012202300012023-05-22<NA>3폐업2폐업2024-02-01<NA><NA>2024-02-01<NA><NA><NA>서울특별시 동대문구 전농동 1-216서울특별시 동대문구 사가정로 203, 5층 (전농동)2509씨디팜(주)2024-02-01 15:28:38U2023-12-02 00:03:00.0<NA>205894.870662452957.230147<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
176324000032400000122008000120080709<NA>3폐업2폐업20120816<NA><NA><NA>479-087269.78<NA>서울특별시 강동구 성내동 542-2 2층<NA><NA>트리스(TRIS)2012-08-16 15:03:31I2018-08-31 23:59:59.0<NA>211217.301019447318.066262동물용의약품도매상<NA><NA>000<NA>
177324000032400000122011000120111130<NA>3폐업2폐업20150514<NA><NA><NA><NA>56.0<NA>서울특별시 강동구 길동 91-13 명일빌딩<NA><NA>주식회사유니코동물약품2015-05-18 16:48:29I2018-08-31 23:59:59.0<NA>212921.259246448800.258437동물용의약품도매상<NA><NA>000<NA>
178324000032400000121985000119851016<NA>3폐업2폐업20171106<NA><NA>20171106478-220824.42<NA>서울특별시 강동구 길동 402-10 102호서울특별시 강동구 천호대로191길 6 (길동)5350새양지가축약품상사2017-11-06 17:37:23I2018-08-31 23:59:59.0<NA>212700.316125448138.401469동물용의약품도매상<NA><NA>000<NA>
179321000032100000122006000120061020<NA>1영업/정상0정상<NA><NA><NA><NA>3472-04840.0<NA>서울특별시 서초구 서초동 1599-2 LG서초에클라트서울특별시 서초구 반포대로14길 71, LG서초에클라트 1426호 (서초동)6651(주)비손에이에이치2022-05-30 09:45:14U2021-12-06 00:01:00.0<NA>201213.640699442739.647017<NA><NA><NA><NA><NA>
180301000030100000122017000120170925<NA>1영업/정상0정상<NA><NA><NA><NA>02-331-25828013.0<NA>서울특별시 중구 남대문로5가 541서울특별시 중구 한강대로 416, 22층 (남대문로5가, 서울스퀘어)4637한국엠에스디동물약품(주)2022-06-03 10:31:29U2021-12-06 00:08:00.0<NA>197620.676445450361.506112<NA><NA><NA><NA><NA>
181322000032200000122010000120100730<NA>1영업/정상0정상<NA><NA><NA><NA>02-2627-97000.0<NA>서울특별시 강남구 대치동 890 T412서울특별시 강남구 테헤란로 412, T412 13층 (대치동)6193한국조에티스 주식회사2022-06-13 10:12:40U2021-12-05 23:05:00.0<NA>204461.966685444728.927638<NA><NA><NA><NA><NA>
182305000030500000122022000120220712<NA>1영업/정상0정상<NA><NA><NA><NA>02-2216-73000.0<NA>서울특별시 동대문구 장안동 166-2서울특별시 동대문구 답십리로64길 73, 2층 (장안동)2626(주)골드팜2022-07-12 13:56:05I2021-12-06 23:04:00.0<NA>205777.049855451926.479007<NA><NA><NA><NA><NA>
183313000031300000122022000120220104<NA>1영업/정상0정상<NA><NA><NA><NA>02-2054-88880.0<NA>서울특별시 마포구 동교동 153-33 태전빌딩서울특별시 마포구 동교로 210, 태전빌딩 302호 (동교동)3994에이오케이 주식회사2022-10-12 14:44:47U2021-10-30 23:04:00.0<NA>193195.287896450709.112535<NA><NA><NA><NA><NA>
18431100003110000012202100012021-02-02<NA>1영업/정상0정상<NA><NA><NA><NA>070-4044-72760.0<NA>서울특별시 은평구 갈현동 404-5 삼양빌딩 503호서울특별시 은평구 통일로83길 6-5, 삼양빌딩 503호 (갈현동)3329(주)화성피앤비2023-04-25 16:30:50U2022-12-03 22:08:00.0<NA>192768.939096457659.063989<NA><NA><NA><NA><NA>
18531100003110000012198100011981-03-02<NA>2휴업1휴업<NA>2020-03-30<NA><NA>388-25210.0<NA>서울특별시 은평구 갈현동 404-5 6층서울특별시 은평구 통일로83길 6-5 (갈현동)3329주식회사 삼양애니팜2024-03-12 11:19:32U2023-12-02 23:04:00.0<NA>192768.939096457659.063989<NA><NA><NA><NA><NA>