Overview

Dataset statistics

Number of variables30
Number of observations296
Missing cells3438
Missing cells (%)38.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.6 KiB
Average record size in memory261.4 B

Variable types

Categorical8
Numeric5
Unsupported11
Text4
DateTime2

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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-16594/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (95.9%)Imbalance
영업상태명 is highly imbalanced (95.9%)Imbalance
상세영업상태코드 is highly imbalanced (95.9%)Imbalance
상세영업상태명 is highly imbalanced (95.9%)Imbalance
소재지면적 is highly imbalanced (66.9%)Imbalance
인허가취소일자 has 296 (100.0%) missing valuesMissing
휴업시작일자 has 296 (100.0%) missing valuesMissing
휴업종료일자 has 296 (100.0%) missing valuesMissing
재개업일자 has 296 (100.0%) missing valuesMissing
전화번호 has 152 (51.4%) missing valuesMissing
소재지우편번호 has 296 (100.0%) missing valuesMissing
도로명우편번호 has 18 (6.1%) missing valuesMissing
업태구분명 has 296 (100.0%) missing valuesMissing
좌표정보(X) has 4 (1.4%) missing valuesMissing
좌표정보(Y) has 4 (1.4%) missing valuesMissing
축산업무구분명 has 296 (100.0%) missing valuesMissing
축산물가공업구분명 has 296 (100.0%) missing valuesMissing
축산일련번호 has 296 (100.0%) missing valuesMissing
권리주체일련번호 has 296 (100.0%) missing valuesMissing
총인원 has 296 (100.0%) missing valuesMissing
관리번호 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
재개업일자 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
축산업무구분명 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
권리주체일련번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-18 04:11:10.301505
Analysis finished2024-05-18 04:11:11.521110
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3030000
296 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 296
100.0%

Length

2024-05-18T13:11:11.773400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:11:12.160073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 296
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct296
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.03 × 1017
Minimum3.03 × 1017
Maximum3.0300001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T13:11:12.646739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.03 × 1017
5-th percentile3.03 × 1017
Q13.03 × 1017
median3.03 × 1017
Q33.03 × 1017
95-th percentile3.03 × 1017
Maximum3.0300001 × 1017
Range1.30014 × 109
Interquartile range (IQR)1.10002 × 109

Descriptive statistics

Standard deviation5.4832086 × 108
Coefficient of variation (CV)1.8096398 × 10-9
Kurtosis-1.8473634
Mean3.03 × 1017
Median Absolute Deviation (MAD)4 × 108
Skewness0.14352667
Sum-2.5457191 × 1018
Variance3.0065577 × 1017
MonotonicityNot monotonic
2024-05-18T13:11:13.205162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303000003720220003 1
 
0.3%
303000003720190003 1
 
0.3%
303000003720190005 1
 
0.3%
303000003720190006 1
 
0.3%
303000003720190007 1
 
0.3%
303000003720190009 1
 
0.3%
303000003720190008 1
 
0.3%
303000003720190010 1
 
0.3%
303000003720190011 1
 
0.3%
303000003720190012 1
 
0.3%
Other values (286) 286
96.6%
ValueCountFrequency (%)
303000003720080001 1
0.3%
303000003720080002 1
0.3%
303000003720080003 1
0.3%
303000003720090001 1
0.3%
303000003720090002 1
0.3%
303000003720090003 1
0.3%
303000003720090004 1
0.3%
303000003720100001 1
0.3%
303000003720100002 1
0.3%
303000003720100003 1
0.3%
ValueCountFrequency (%)
303000005020220004 1
0.3%
303000005020220003 1
0.3%
303000005020220002 1
0.3%
303000005020210008 1
0.3%
303000005020210001 1
0.3%
303000005020200013 1
0.3%
303000005020200012 1
0.3%
303000005020200011 1
0.3%
303000005020190021 1
0.3%
303000004920220003 1
0.3%

인허가일자
Real number (ℝ)

Distinct88
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20173196
Minimum20080704
Maximum20220620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T13:11:14.101331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080704
5-th percentile20100401
Q120180430
median20180914
Q320190508
95-th percentile20210344
Maximum20220620
Range139916
Interquartile range (IQR)10078

Descriptive statistics

Standard deviation32302.857
Coefficient of variation (CV)0.0016012762
Kurtosis1.2801787
Mean20173196
Median Absolute Deviation (MAD)9504
Skewness-1.3811969
Sum5.9712659 × 109
Variance1.0434746 × 109
MonotonicityNot monotonic
2024-05-18T13:11:14.695880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180914 26
 
8.8%
20180823 20
 
6.8%
20181001 20
 
6.8%
20200417 8
 
2.7%
20181102 8
 
2.7%
20181010 8
 
2.7%
20181008 6
 
2.0%
20180927 6
 
2.0%
20180822 6
 
2.0%
20180717 4
 
1.4%
Other values (78) 184
62.2%
ValueCountFrequency (%)
20080704 2
0.7%
20080813 2
0.7%
20080821 2
0.7%
20080930 2
0.7%
20090629 2
0.7%
20090907 2
0.7%
20091013 2
0.7%
20100401 2
0.7%
20101027 2
0.7%
20101201 2
0.7%
ValueCountFrequency (%)
20220620 1
 
0.3%
20220523 1
 
0.3%
20220418 2
0.7%
20220413 2
0.7%
20220307 1
 
0.3%
20211229 4
1.4%
20210830 2
0.7%
20210408 2
0.7%
20210323 4
1.4%
20210312 2
0.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
4
294 
1
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 294
99.3%
1 1
 
0.3%
3 1
 
0.3%

Length

2024-05-18T13:11:15.162729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:11:15.457440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 294
99.3%
1 1
 
0.3%
3 1
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
취소/말소/만료/정지/중지
294 
영업/정상
 
1
폐업
 
1

Length

Max length14
Median length14
Mean length13.929054
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row취소/말소/만료/정지/중지
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
취소/말소/만료/정지/중지 294
99.3%
영업/정상 1
 
0.3%
폐업 1
 
0.3%

Length

2024-05-18T13:11:15.925881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:11:16.292901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 294
99.3%
영업/정상 1
 
0.3%
폐업 1
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
4
294 
0
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 294
99.3%
0 1
 
0.3%
2 1
 
0.3%

Length

2024-05-18T13:11:16.850199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:11:17.259639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 294
99.3%
0 1
 
0.3%
2 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
말소
294 
정상
 
1
폐업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
말소 294
99.3%
정상 1
 
0.3%
폐업 1
 
0.3%

Length

2024-05-18T13:11:17.577128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:11:17.887135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말소 294
99.3%
정상 1
 
0.3%
폐업 1
 
0.3%

폐업일자
Categorical

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
20220701
148 
20220526
146 
<NA>
 
1
20180516
 
1

Length

Max length8
Median length8
Mean length7.9864865
Min length4

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row20220526
2nd row20220526
3rd row20220526
4th row20220701
5th row20220701

Common Values

ValueCountFrequency (%)
20220701 148
50.0%
20220526 146
49.3%
<NA> 1
 
0.3%
20180516 1
 
0.3%

Length

2024-05-18T13:11:18.259102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:11:18.607551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20220701 148
50.0%
20220526 146
49.3%
na 1
 
0.3%
20180516 1
 
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct56
Distinct (%)38.9%
Missing152
Missing (%)51.4%
Memory size2.4 KiB
2024-05-18T13:11:19.075411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.486111
Min length8

Characters and Unicode

Total characters1510
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

Unique0 ?
Unique (%)0.0%

Sample

1st row02-6454-6180
2nd row02-6454-6180
3rd row02-6218-1318
4th row02-2281-9005
5th row02-466-5787
ValueCountFrequency (%)
02-2104-5024 6
 
4.2%
0222994696 4
 
2.8%
0222998575 4
 
2.8%
02-989-5779 4
 
2.8%
024668543 4
 
2.8%
024662475 4
 
2.8%
0222823653 4
 
2.8%
02-6454-6180 4
 
2.8%
0222993283 4
 
2.8%
0222997001 4
 
2.8%
Other values (46) 102
70.8%
2024-05-18T13:11:20.179578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 302
20.0%
0 226
15.0%
9 138
9.1%
8 124
8.2%
- 118
 
7.8%
4 116
 
7.7%
6 112
 
7.4%
7 110
 
7.3%
5 106
 
7.0%
3 88
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1392
92.2%
Dash Punctuation 118
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 302
21.7%
0 226
16.2%
9 138
9.9%
8 124
8.9%
4 116
 
8.3%
6 112
 
8.0%
7 110
 
7.9%
5 106
 
7.6%
3 88
 
6.3%
1 70
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1510
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 302
20.0%
0 226
15.0%
9 138
9.1%
8 124
8.2%
- 118
 
7.8%
4 116
 
7.7%
6 112
 
7.4%
7 110
 
7.3%
5 106
 
7.0%
3 88
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1510
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 302
20.0%
0 226
15.0%
9 138
9.1%
8 124
8.2%
- 118
 
7.8%
4 116
 
7.7%
6 112
 
7.4%
7 110
 
7.3%
5 106
 
7.0%
3 88
 
5.8%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
278 
<NA>
 
18

Length

Max length4
Median length1
Mean length1.1824324
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 278
93.9%
<NA> 18
 
6.1%

Length

2024-05-18T13:11:20.582671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:11:20.911159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 278
93.9%
na 18
 
6.1%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

지번주소
Text

Distinct157
Distinct (%)53.4%
Missing2
Missing (%)0.7%
Memory size2.4 KiB
2024-05-18T13:11:21.278298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length36
Mean length25.734694
Min length17

Characters and Unicode

Total characters7566
Distinct characters135
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

Unique81 ?
Unique (%)27.6%

Sample

1st row서울특별시 성동구 송정동 **-***
2nd row서울특별시 성동구 송정동 **-** 삼성빌라 ***호
3rd row서울특별시 성동구 마장동 *** 금호어울림아파트
4th row서울특별시 성동구 용답동 ***-* 신창비바패밀리
5th row서울특별시 성동구 하왕십리동 **** 센트라스
ValueCountFrequency (%)
서울특별시 294
20.2%
성동구 294
20.2%
185
12.7%
번지 111
 
7.6%
성수동*가 96
 
6.6%
호 49
 
3.4%
금호동*가 48
 
3.3%
행당동 48
 
3.3%
층 37
 
2.5%
하왕십리동 26
 
1.8%
Other values (61) 269
18.5%
2024-05-18T13:11:21.998094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1573
20.8%
1163
15.4%
동 614
 
8.1%
성 398
 
5.3%
울 310
 
4.1%
서 306
 
4.0%
특 294
 
3.9%
별 294
 
3.9%
시 294
 
3.9%
구 294
 
3.9%
Other values (125) 2026
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4615
61.0%
Other Punctuation 1573
 
20.8%
Space Separator 1163
 
15.4%
Dash Punctuation 187
 
2.5%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Uppercase Letter 6
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 614
13.3%
성 398
 
8.6%
울 310
 
6.7%
서 306
 
6.6%
특 294
 
6.4%
별 294
 
6.4%
시 294
 
6.4%
구 294
 
6.4%
가 170
 
3.7%
수 118
 
2.6%
Other values (117) 1523
33.0%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
D 2
33.3%
Other Punctuation
ValueCountFrequency (%)
* 1573
100.0%
Space Separator
ValueCountFrequency (%)
1163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4615
61.0%
Common 2945
38.9%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 614
13.3%
성 398
 
8.6%
울 310
 
6.7%
서 306
 
6.6%
특 294
 
6.4%
별 294
 
6.4%
시 294
 
6.4%
구 294
 
6.4%
가 170
 
3.7%
수 118
 
2.6%
Other values (117) 1523
33.0%
Common
ValueCountFrequency (%)
* 1573
53.4%
1163
39.5%
- 187
 
6.3%
) 10
 
0.3%
( 10
 
0.3%
~ 2
 
0.1%
Latin
ValueCountFrequency (%)
B 4
66.7%
D 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4615
61.0%
ASCII 2951
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1573
53.3%
1163
39.4%
- 187
 
6.3%
) 10
 
0.3%
( 10
 
0.3%
B 4
 
0.1%
D 2
 
0.1%
~ 2
 
0.1%
Hangul
ValueCountFrequency (%)
동 614
13.3%
성 398
 
8.6%
울 310
 
6.7%
서 306
 
6.6%
특 294
 
6.4%
별 294
 
6.4%
시 294
 
6.4%
구 294
 
6.4%
가 170
 
3.7%
수 118
 
2.6%
Other values (117) 1523
33.0%

도로명주소
Text

Distinct113
Distinct (%)38.4%
Missing2
Missing (%)0.7%
Memory size2.4 KiB
2024-05-18T13:11:22.676859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length33.12585
Min length22

Characters and Unicode

Total characters9739
Distinct characters155
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)1.4%

Sample

1st row서울특별시 성동구 광나루로**길 **-*, *층 (송정동)
2nd row서울특별시 성동구 송정*길 *, ***호 (송정동, 삼성빌라)
3rd row서울특별시 성동구 마조로 **, 상가동 *층 (마장동, 금호어울림아파트)
4th row서울특별시 성동구 천호대로 ***(용답동, 신창비바패밀리)
5th row서울특별시 성동구 왕십리로 ***, J동 ***호 (하왕십리동, 센트라스)
ValueCountFrequency (%)
서울특별시 294
15.4%
성동구 294
15.4%
292
15.3%
층 127
 
6.7%
호 91
 
4.8%
성수동*가 90
 
4.7%
왕십리로 64
 
3.4%
금호동*가 48
 
2.5%
행당동 48
 
2.5%
하왕십리동 26
 
1.4%
Other values (110) 531
27.9%
2024-05-18T13:11:23.592762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1611
16.5%
* 1467
 
15.1%
동 633
 
6.5%
성 416
 
4.3%
서 332
 
3.4%
울 318
 
3.3%
, 303
 
3.1%
( 300
 
3.1%
) 300
 
3.1%
시 294
 
3.0%
Other values (145) 3765
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5688
58.4%
Other Punctuation 1770
 
18.2%
Space Separator 1611
 
16.5%
Open Punctuation 300
 
3.1%
Close Punctuation 300
 
3.1%
Dash Punctuation 48
 
0.5%
Uppercase Letter 16
 
0.2%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 633
 
11.1%
성 416
 
7.3%
서 332
 
5.8%
울 318
 
5.6%
시 294
 
5.2%
특 294
 
5.2%
구 294
 
5.2%
별 294
 
5.2%
로 232
 
4.1%
호 196
 
3.4%
Other values (134) 2385
41.9%
Uppercase Letter
ValueCountFrequency (%)
B 10
62.5%
J 4
 
25.0%
D 2
 
12.5%
Other Punctuation
ValueCountFrequency (%)
* 1467
82.9%
, 303
 
17.1%
Space Separator
ValueCountFrequency (%)
1611
100.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Lowercase Letter
ValueCountFrequency (%)
i 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5688
58.4%
Common 4031
41.4%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 633
 
11.1%
성 416
 
7.3%
서 332
 
5.8%
울 318
 
5.6%
시 294
 
5.2%
특 294
 
5.2%
구 294
 
5.2%
별 294
 
5.2%
로 232
 
4.1%
호 196
 
3.4%
Other values (134) 2385
41.9%
Common
ValueCountFrequency (%)
1611
40.0%
* 1467
36.4%
, 303
 
7.5%
( 300
 
7.4%
) 300
 
7.4%
- 48
 
1.2%
~ 2
 
< 0.1%
Latin
ValueCountFrequency (%)
B 10
50.0%
J 4
 
20.0%
i 4
 
20.0%
D 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5688
58.4%
ASCII 4051
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1611
39.8%
* 1467
36.2%
, 303
 
7.5%
( 300
 
7.4%
) 300
 
7.4%
- 48
 
1.2%
B 10
 
0.2%
J 4
 
0.1%
i 4
 
0.1%
D 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
동 633
 
11.1%
성 416
 
7.3%
서 332
 
5.8%
울 318
 
5.6%
시 294
 
5.2%
특 294
 
5.2%
구 294
 
5.2%
별 294
 
5.2%
로 232
 
4.1%
호 196
 
3.4%
Other values (134) 2385
41.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)18.3%
Missing18
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean4749.3561
Minimum4700
Maximum4808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T13:11:23.911217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4701
Q14717
median4745
Q34778
95-th percentile4803
Maximum4808
Range108
Interquartile range (IQR)61

Descriptive statistics

Standard deviation33.507246
Coefficient of variation (CV)0.0070551134
Kurtosis-1.3744205
Mean4749.3561
Median Absolute Deviation (MAD)31
Skewness0.059219282
Sum1320321
Variance1122.7355
MonotonicityNot monotonic
2024-05-18T13:11:24.269694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4775 18
 
6.1%
4778 16
 
5.4%
4701 12
 
4.1%
4781 12
 
4.1%
4710 12
 
4.1%
4700 12
 
4.1%
4707 12
 
4.1%
4751 10
 
3.4%
4717 10
 
3.4%
4804 10
 
3.4%
Other values (41) 154
52.0%
(Missing) 18
 
6.1%
ValueCountFrequency (%)
4700 12
4.1%
4701 12
4.1%
4702 2
 
0.7%
4707 12
4.1%
4710 12
4.1%
4714 10
3.4%
4716 4
 
1.4%
4717 10
3.4%
4721 8
2.7%
4722 4
 
1.4%
ValueCountFrequency (%)
4808 1
 
0.3%
4804 10
3.4%
4803 4
 
1.4%
4801 8
2.7%
4800 2
 
0.7%
4796 4
 
1.4%
4795 2
 
0.7%
4794 2
 
0.7%
4792 2
 
0.7%
4790 2
 
0.7%

사업장명
Text

Distinct114
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-18T13:11:24.899283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.0945946
Min length2

Characters and Unicode

Total characters2100
Distinct characters230
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

Unique4 ?
Unique (%)1.4%

Sample

1st row알라꿀 펫살롱
2nd rowpet372도5584
3rd row고양아, 안녕?
4th row멍이요 펫택시(49두5207)
5th row다온동물병원
ValueCountFrequency (%)
동물병원 26
 
5.9%
서울숲 14
 
3.2%
성수점 12
 
2.7%
강아지 8
 
1.8%
펫살롱 8
 
1.8%
미용실 6
 
1.4%
버블퍼피 6
 
1.4%
펫택시 6
 
1.4%
왕십리조은동물병원 6
 
1.4%
한양동물메디컬센터 6
 
1.4%
Other values (132) 343
77.8%
2024-05-18T13:11:26.051987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
6.9%
동 106
 
5.0%
물 96
 
4.6%
원 84
 
4.0%
병 82
 
3.9%
이 63
 
3.0%
펫 41
 
2.0%
아 36
 
1.7%
지 36
 
1.7%
리 30
 
1.4%
Other values (220) 1381
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1765
84.0%
Space Separator 145
 
6.9%
Decimal Number 63
 
3.0%
Lowercase Letter 61
 
2.9%
Uppercase Letter 28
 
1.3%
Close Punctuation 15
 
0.7%
Open Punctuation 15
 
0.7%
Other Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 106
 
6.0%
물 96
 
5.4%
원 84
 
4.8%
병 82
 
4.6%
이 63
 
3.6%
펫 41
 
2.3%
아 36
 
2.0%
지 36
 
2.0%
리 30
 
1.7%
강 28
 
1.6%
Other values (191) 1163
65.9%
Lowercase Letter
ValueCountFrequency (%)
o 16
26.2%
g 12
19.7%
s 8
13.1%
d 4
 
6.6%
h 4
 
6.6%
w 4
 
6.6%
n 4
 
6.6%
p 3
 
4.9%
e 3
 
4.9%
t 3
 
4.9%
Decimal Number
ValueCountFrequency (%)
4 16
25.4%
2 15
23.8%
5 9
14.3%
3 6
 
9.5%
6 5
 
7.9%
0 3
 
4.8%
7 3
 
4.8%
8 3
 
4.8%
9 2
 
3.2%
1 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
L 10
35.7%
S 8
28.6%
C 6
21.4%
D 4
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
? 4
50.0%
Space Separator
ValueCountFrequency (%)
145
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1765
84.0%
Common 246
 
11.7%
Latin 89
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 106
 
6.0%
물 96
 
5.4%
원 84
 
4.8%
병 82
 
4.6%
이 63
 
3.6%
펫 41
 
2.3%
아 36
 
2.0%
지 36
 
2.0%
리 30
 
1.7%
강 28
 
1.6%
Other values (191) 1163
65.9%
Common
ValueCountFrequency (%)
145
58.9%
4 16
 
6.5%
) 15
 
6.1%
( 15
 
6.1%
2 15
 
6.1%
5 9
 
3.7%
3 6
 
2.4%
6 5
 
2.0%
, 4
 
1.6%
? 4
 
1.6%
Other values (5) 12
 
4.9%
Latin
ValueCountFrequency (%)
o 16
18.0%
g 12
13.5%
L 10
11.2%
S 8
9.0%
s 8
9.0%
C 6
 
6.7%
d 4
 
4.5%
h 4
 
4.5%
w 4
 
4.5%
D 4
 
4.5%
Other values (4) 13
14.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1765
84.0%
ASCII 335
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
43.3%
o 16
 
4.8%
4 16
 
4.8%
) 15
 
4.5%
( 15
 
4.5%
2 15
 
4.5%
g 12
 
3.6%
L 10
 
3.0%
5 9
 
2.7%
S 8
 
2.4%
Other values (19) 74
22.1%
Hangul
ValueCountFrequency (%)
동 106
 
6.0%
물 96
 
5.4%
원 84
 
4.8%
병 82
 
4.6%
이 63
 
3.6%
펫 41
 
2.3%
아 36
 
2.0%
지 36
 
2.0%
리 30
 
1.7%
강 28
 
1.6%
Other values (191) 1163
65.9%

최종수정일자
Date

Distinct159
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2010-10-25 17:12:38
Maximum2022-07-11 16:55:16
2024-05-18T13:11:26.510400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:27.045207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
I
224 
U
72 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 224
75.7%
U 72
 
24.3%

Length

2024-05-18T13:11:27.489322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T13:11:27.852239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 224
75.7%
u 72
 
24.3%

데이터갱신일자
Date

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2021-12-04 22:07:00
Maximum2021-12-07 00:02:00
2024-05-18T13:11:28.154609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T13:11:28.621389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)30.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean203356.05
Minimum201090.46
Maximum206150.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T13:11:29.197915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201090.46
5-th percentile201657.93
Q1202372.91
median203218.7
Q3204471.15
95-th percentile205198.34
Maximum206150.17
Range5059.7152
Interquartile range (IQR)2098.2379

Descriptive statistics

Standard deviation1200.1005
Coefficient of variation (CV)0.0059014743
Kurtosis-1.0080745
Mean203356.05
Median Absolute Deviation (MAD)1053.8805
Skewness0.13639532
Sum59379967
Variance1440241.2
MonotonicityNot monotonic
2024-05-18T13:11:29.713230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202113.869605464 12
 
4.1%
202372.912023599 12
 
4.1%
202511.142930696 10
 
3.4%
204614.272744322 10
 
3.4%
203200.771278441 6
 
2.0%
202558.335435687 6
 
2.0%
202087.93384541 6
 
2.0%
203911.513091074 6
 
2.0%
202393.457305335 6
 
2.0%
204590.476506461 6
 
2.0%
Other values (78) 212
71.6%
ValueCountFrequency (%)
201090.457551438 4
1.4%
201157.877298502 4
1.4%
201538.05612719 2
0.7%
201575.718800759 4
1.4%
201657.926313791 2
0.7%
201669.803556903 4
1.4%
201683.821900104 2
0.7%
201710.577334426 2
0.7%
201782.806677802 4
1.4%
201790.117515658 2
0.7%
ValueCountFrequency (%)
206150.172716362 1
 
0.3%
206009.017186709 1
 
0.3%
205799.095334708 2
0.7%
205788.686163691 4
1.4%
205645.625970517 2
0.7%
205527.887051222 1
 
0.3%
205346.246613591 4
1.4%
205077.325266776 2
0.7%
205011.023216217 4
1.4%
204966.098616157 2
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct88
Distinct (%)30.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean450106.92
Minimum448200.76
Maximum451897.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T13:11:30.214047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448200.76
5-th percentile448386.39
Q1449262.35
median450156.87
Q3451042.9
95-th percentile451713.85
Maximum451897.58
Range3696.8205
Interquartile range (IQR)1780.55

Descriptive statistics

Standard deviation1101.338
Coefficient of variation (CV)0.0024468363
Kurtosis-1.2470363
Mean450106.92
Median Absolute Deviation (MAD)894.51525
Skewness-0.049053315
Sum1.3143122 × 108
Variance1212945.3
MonotonicityNot monotonic
2024-05-18T13:11:30.792831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451897.581865192 12
 
4.1%
451536.680876573 12
 
4.1%
450401.303715561 10
 
3.4%
448607.441251647 10
 
3.4%
450821.216569269 6
 
2.0%
450951.715052434 6
 
2.0%
450566.859958878 6
 
2.0%
448508.756036449 6
 
2.0%
451365.326207693 6
 
2.0%
451570.344198532 6
 
2.0%
Other values (78) 212
71.6%
ValueCountFrequency (%)
448200.761404959 2
 
0.7%
448273.569895283 2
 
0.7%
448289.619828585 2
 
0.7%
448359.93429363 6
2.0%
448380.550963945 2
 
0.7%
448386.387429443 4
1.4%
448410.698029167 2
 
0.7%
448482.041463055 4
1.4%
448508.756036449 6
2.0%
448534.113764965 2
 
0.7%
ValueCountFrequency (%)
451897.581865192 12
4.1%
451809.190992068 2
 
0.7%
451713.851796321 2
 
0.7%
451699.515691566 2
 
0.7%
451570.344198532 6
2.0%
451561.753377039 2
 
0.7%
451536.680876573 12
4.1%
451535.246961512 2
 
0.7%
451473.310104052 2
 
0.7%
451456.401133942 2
 
0.7%

축산업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

권리주체일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing296
Missing (%)100.0%
Memory size2.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0303000030300000372022000320220418<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 성동구 송정동 **-***서울특별시 성동구 광나루로**길 **-*, *층 (송정동)4801알라꿀 펫살롱2022-04-18 10:05:25I2021-12-04 22:07:00.0<NA>205799.095335449713.587556<NA><NA><NA><NA><NA>
1303000030300000372022000220220413<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 성동구 송정동 **-** 삼성빌라 ***호서울특별시 성동구 송정*길 *, ***호 (송정동, 삼성빌라)4801pet372도55842022-04-13 13:31:46I2021-12-04 22:07:00.0<NA>205645.625971449668.404683<NA><NA><NA><NA><NA>
2303000030300000372019001920190909<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 성동구 마장동 *** 금호어울림아파트서울특별시 성동구 마조로 **, 상가동 *층 (마장동, 금호어울림아파트)4759고양아, 안녕?2021-02-24 19:31:27U2021-12-04 22:07:00.0<NA>203597.758759451160.268443<NA><NA><NA><NA><NA>
3303000030300000502022000320220523<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 성동구 용답동 ***-* 신창비바패밀리서울특별시 성동구 천호대로 ***(용답동, 신창비바패밀리)4808멍이요 펫택시(49두5207)2022-06-08 10:40:53U2021-12-07 00:02:00.0<NA>205527.887051451002.807624<NA><NA><NA><NA><NA>
4303000030300000492018002520180910<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 성동구 하왕십리동 **** 센트라스서울특별시 성동구 왕십리로 ***, J동 ***호 (하왕십리동, 센트라스)4701다온동물병원2022-06-22 17:47:37U2021-12-07 00:02:00.0<NA>202372.912024451536.680877<NA><NA><NA><NA><NA>
5303000030300000502022000420220620<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 성동구 송정동 **-*** ***호서울특별시 성동구 송정**가길 **-*, ***호 (송정동)4800pet180거90642022-06-20 17:16:36I2021-12-07 00:02:00.0<NA>206009.017187450257.766109<NA><NA><NA><NA><NA>
6303000030300000452010000420101213<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 **-* (*층)서울특별시 성동구 용답**길 **-* (용답동,(*층))<NA>강아지나라2022-04-28 18:10:54I2021-12-07 00:02:00.0<NA>204464.94781451561.753377<NA><NA><NA><NA><NA>
7303000030300000482019001620211229<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-6454-61800<NA>서울특별시 성동구 행당동 *** 서울숲 더샵 ***호서울특별시 성동구 왕십리로 ***, *층 ***호 (행당동, 서울숲 더샵)4765주식회사 바우라움 서울숲2022-04-28 18:10:57I2021-12-07 00:02:00.0<NA>203523.0450411.0<NA><NA><NA><NA><NA>
8303000030300000492019001720211229<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-6454-61800<NA>서울특별시 성동구 행당동 *** 서울숲 더샵 ***호서울특별시 성동구 왕십리로 ***, *층 ***호 (행당동, 서울숲 더샵)4765주식회사 바우라움 서울숲2022-04-28 18:10:57I2021-12-07 00:02:00.0<NA>203523.0450411.0<NA><NA><NA><NA><NA>
9303000030300000502021000820210830<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-6218-13180<NA>서울특별시 성동구 성수동*가 ***-* 삼진빌딩서울특별시 성동구 아차산로 ***, 삼진빌딩 ***호 (성수동*가)4794(주)하율투어 펫피스 드라이버2022-04-28 18:10:57I2021-12-07 00:02:00.0<NA>204966.098616449159.45278<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
286303000030300000372011000120110217<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>2246-8712<NA><NA>서울특별시 성동구 용답동 **-*번지 (*층)서울특별시 성동구 용답중앙**길 ** (용답동,(*층))<NA>코코애견2011-02-17 17:04:51I2021-12-04 22:07:00.0<NA>204598.798799451415.631019<NA><NA><NA><NA><NA>
287303000030300000372010000420101213<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 **-*번지 (*층)서울특별시 성동구 용답**길 **-* (용답동,(*층))<NA>강아지나라2011-05-27 10:33:43I2021-12-04 22:07:00.0<NA>204464.94781451561.753377<NA><NA><NA><NA><NA>
288303000030300000372010000320101201<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-**번지 *층서울특별시 성동구 상원길 ** (성수동*가,*층)<NA>바우스토리 성수점2013-12-06 10:35:15I2021-12-04 22:07:00.0<NA>204269.06974449321.984024<NA><NA><NA><NA><NA>
289303000030300000372010000220101027<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>466-8999<NA><NA>서울특별시 성동구 성수동*가 ***-**번지서울특별시 성동구 성덕정길 **-* (성수동*가)<NA>미니펫2014-12-12 17:09:54I2021-12-04 22:07:00.0<NA>204712.09525448359.934294<NA><NA><NA><NA><NA>
290303000030300000372010000120100401<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-2281-52000<NA>서울특별시 성동구 행당동 ***-*번지 *층서울특별시 성동구 왕십리로 ***, *층 (행당동)4751한양동물메디컬센터2017-01-17 18:33:37I2021-12-04 22:07:00.0<NA>203200.771278450821.216569<NA><NA><NA><NA><NA>
291303000030300000372009000220090629<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-***번지 *층서울특별시 성동구 왕십리로 *** (성수동*가,*층)<NA>개판완전정복펫도매닷컴2012-07-04 11:23:24I2021-12-04 22:07:00.0<NA>203808.041531449777.272791<NA><NA><NA><NA><NA>
292303000030300000372008000320080930<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-**번지 *층서울특별시 성동구 성덕정길 **-* (성수동*가,*층)<NA>러블리퍼피2010-10-25 17:12:38I2021-12-04 22:07:00.0<NA>204712.09525448359.934294<NA><NA><NA><NA><NA>
293303000030300000372009000120080821<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-467-09750<NA>서울특별시 성동구 성수동*가 ***-**번지서울특별시 성동구 뚝섬로 *** (성수동*가)4781로얄벳동물병원2016-11-09 17:19:56I2021-12-04 22:07:00.0<NA>204614.272744448607.441252<NA><NA><NA><NA><NA>
294303000030300000372008000220080813<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 성동구 행당동 ***-**번지서울특별시 성동구 고산자로*길 **-* (행당동)4745미주애견샵2019-12-16 17:37:41U2021-12-04 22:07:00.0<NA>203236.630262450677.618092<NA><NA><NA><NA><NA>
295303000030300000372008000120080704<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA><NA><NA>서울특별시 성동구 행당동 ***-**번지서울특별시 성동구 고산자로 *** (행당동)<NA>24시행당종합동물병원2013-12-13 15:32:02I2021-12-04 22:07:00.0<NA>202907.218919450712.086716<NA><NA><NA><NA><NA>