Overview

Dataset statistics

Number of variables30
Number of observations427
Missing cells4834
Missing cells (%)37.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory109.0 KiB
Average record size in memory261.3 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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-16612/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 has constant value ""Constant
영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
소재지면적 is highly imbalanced (89.3%)Imbalance
인허가취소일자 has 427 (100.0%) missing valuesMissing
휴업시작일자 has 427 (100.0%) missing valuesMissing
휴업종료일자 has 427 (100.0%) missing valuesMissing
재개업일자 has 427 (100.0%) missing valuesMissing
전화번호 has 135 (31.6%) missing valuesMissing
소재지우편번호 has 427 (100.0%) missing valuesMissing
업태구분명 has 427 (100.0%) missing valuesMissing
축산업무구분명 has 427 (100.0%) missing valuesMissing
축산물가공업구분명 has 427 (100.0%) missing valuesMissing
축산일련번호 has 427 (100.0%) missing valuesMissing
권리주체일련번호 has 427 (100.0%) missing valuesMissing
총인원 has 427 (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 00:51:52.671710
Analysis finished2024-05-18 00:51:53.949467
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3210000
427 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 427
100.0%

Length

2024-05-18T09:51:54.071005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:51:54.388438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 427
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct427
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.21 × 1017
Minimum3.21 × 1017
Maximum3.2100001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-18T09:51:54.867724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.21 × 1017
5-th percentile3.21 × 1017
Q13.21 × 1017
median3.21 × 1017
Q33.21 × 1017
95-th percentile3.21 × 1017
Maximum3.2100001 × 1017
Range1.3001 × 109
Interquartile range (IQR)1.1999999 × 109

Descriptive statistics

Standard deviation5.6139972 × 108
Coefficient of variation (CV)1.7489087 × 10-9
Kurtosis-1.8910351
Mean3.21 × 1017
Median Absolute Deviation (MAD)5.0008 × 108
Skewness0.079767443
Sum7.9397933 × 1018
Variance3.1516964 × 1017
MonotonicityNot monotonic
2024-05-18T09:51:55.422539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321000004920220011 1
 
0.2%
321000003720190031 1
 
0.2%
321000003720190033 1
 
0.2%
321000003720190034 1
 
0.2%
321000003720190035 1
 
0.2%
321000003720190036 1
 
0.2%
321000003720190037 1
 
0.2%
321000003720190038 1
 
0.2%
321000003720200001 1
 
0.2%
321000003720200002 1
 
0.2%
Other values (417) 417
97.7%
ValueCountFrequency (%)
321000003720120001 1
0.2%
321000003720130001 1
0.2%
321000003720130002 1
0.2%
321000003720140001 1
0.2%
321000003720140002 1
0.2%
321000003720140003 1
0.2%
321000003720140004 1
0.2%
321000003720150001 1
0.2%
321000003720150002 1
0.2%
321000003720150003 1
0.2%
ValueCountFrequency (%)
321000005020220013 1
0.2%
321000005020220012 1
0.2%
321000005020220011 1
0.2%
321000005020220010 1
0.2%
321000005020220009 1
0.2%
321000005020220008 1
0.2%
321000005020220005 1
0.2%
321000005020220004 1
0.2%
321000005020220003 1
0.2%
321000005020210010 1
0.2%

인허가일자
Real number (ℝ)

Distinct131
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20183410
Minimum20090421
Maximum20220622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-18T09:51:56.111783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090421
5-th percentile20141046
Q120180707
median20181005
Q320191016
95-th percentile20220281
Maximum20220622
Range130201
Interquartile range (IQR)10309

Descriptive statistics

Standard deviation21508.199
Coefficient of variation (CV)0.0010656375
Kurtosis3.3570503
Mean20183410
Median Absolute Deviation (MAD)9606
Skewness-1.1612999
Sum8.6183162 × 109
Variance4.6260264 × 108
MonotonicityNot monotonic
2024-05-18T09:51:56.723409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180927 18
 
4.2%
20181013 16
 
3.7%
20181005 16
 
3.7%
20180921 14
 
3.3%
20180720 12
 
2.8%
20180918 10
 
2.3%
20190703 6
 
1.4%
20190718 6
 
1.4%
20200731 6
 
1.4%
20201214 6
 
1.4%
Other values (121) 317
74.2%
ValueCountFrequency (%)
20090421 2
0.5%
20091224 2
0.5%
20120327 2
0.5%
20120419 2
0.5%
20120507 2
0.5%
20121116 2
0.5%
20130709 2
0.5%
20131101 2
0.5%
20140303 2
0.5%
20140728 2
0.5%
ValueCountFrequency (%)
20220622 1
 
0.2%
20220620 1
 
0.2%
20220610 1
 
0.2%
20220609 1
 
0.2%
20220519 1
 
0.2%
20220503 1
 
0.2%
20220421 2
 
0.5%
20220411 6
1.4%
20220406 2
 
0.5%
20220321 2
 
0.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
4
427 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 427
100.0%

Length

2024-05-18T09:51:57.255282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:51:57.612999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 427
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
취소/말소/만료/정지/중지
427 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

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 427
100.0%

Length

2024-05-18T09:51:58.025492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:51:58.398929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 427
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
4
427 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 427
100.0%

Length

2024-05-18T09:51:58.787754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:51:59.064485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 427
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
말소
427 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
말소 427
100.0%

Length

2024-05-18T09:51:59.329537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:51:59.593895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말소 427
100.0%

폐업일자
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
20220701
217 
20220526
210 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20220701 217
50.8%
20220526 210
49.2%

Length

2024-05-18T09:51:59.866597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:52:00.169125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20220701 217
50.8%
20220526 210
49.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

전화번호
Text

MISSING 

Distinct97
Distinct (%)33.2%
Missing135
Missing (%)31.6%
Memory size3.5 KiB
2024-05-18T09:52:00.750065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length10.835616
Min length9

Characters and Unicode

Total characters3164
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 row02-521-9010
2nd row02-512-2173
3rd row02-512-2173
4th row02-512-2178
5th row02-594-0076
ValueCountFrequency (%)
02-6949-3023 8
 
2.7%
070-7776-1105 6
 
2.1%
02-593-6700 6
 
2.1%
02-533-8086 6
 
2.1%
02-3476-7522 6
 
2.1%
025338146 6
 
2.1%
02-502-2589 6
 
2.1%
02-575-0750 4
 
1.4%
02-593-7575 4
 
1.4%
025218181 4
 
1.4%
Other values (87) 236
80.8%
2024-05-18T09:52:01.809396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 506
16.0%
2 486
15.4%
- 416
13.1%
5 406
12.8%
7 292
9.2%
3 260
8.2%
1 196
 
6.2%
8 180
 
5.7%
9 148
 
4.7%
4 144
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2748
86.9%
Dash Punctuation 416
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 506
18.4%
2 486
17.7%
5 406
14.8%
7 292
10.6%
3 260
9.5%
1 196
 
7.1%
8 180
 
6.6%
9 148
 
5.4%
4 144
 
5.2%
6 130
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3164
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 506
16.0%
2 486
15.4%
- 416
13.1%
5 406
12.8%
7 292
9.2%
3 260
8.2%
1 196
 
6.2%
8 180
 
5.7%
9 148
 
4.7%
4 144
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3164
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 506
16.0%
2 486
15.4%
- 416
13.1%
5 406
12.8%
7 292
9.2%
3 260
8.2%
1 196
 
6.2%
8 180
 
5.7%
9 148
 
4.7%
4 144
 
4.6%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
0
421 
<NA>
 
6

Length

Max length4
Median length1
Mean length1.0421546
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 421
98.6%
<NA> 6
 
1.4%

Length

2024-05-18T09:52:02.194159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:52:02.536829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 421
98.6%
na 6
 
1.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

지번주소
Text

Distinct177
Distinct (%)41.6%
Missing2
Missing (%)0.5%
Memory size3.5 KiB
2024-05-18T09:52:02.958502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length24.432941
Min length13

Characters and Unicode

Total characters10384
Distinct characters170
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

Unique77 ?
Unique (%)18.1%

Sample

1st row서울특별시 서초구 방배동 ***-**
2nd row서울특별시 서초구 서초동 ****-** 서초쌍용플래티넘 ***호
3rd row서울특별시 서초구 반포동 ***-** B**호
4th row서울특별시 서초구 서초동 ****-* 와라빌딩
5th row서울특별시 서초구 서초동 ****-* 와라빌딩
ValueCountFrequency (%)
서울특별시 425
20.6%
서초구 423
20.5%
297
14.4%
방배동 138
 
6.7%
번지 120
 
5.8%
반포동 100
 
4.9%
서초동 88
 
4.3%
양재동 52
 
2.5%
호 50
 
2.4%
잠원동 29
 
1.4%
Other values (94) 337
16.4%
2024-05-18T09:52:03.858782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1978
19.0%
1634
15.7%
서 969
 
9.3%
초 528
 
5.1%
동 435
 
4.2%
구 429
 
4.1%
시 427
 
4.1%
특 425
 
4.1%
별 425
 
4.1%
울 425
 
4.1%
Other values (160) 2709
26.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6303
60.7%
Other Punctuation 1996
 
19.2%
Space Separator 1634
 
15.7%
Dash Punctuation 369
 
3.6%
Uppercase Letter 78
 
0.8%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 969
15.4%
초 528
 
8.4%
동 435
 
6.9%
구 429
 
6.8%
시 427
 
6.8%
특 425
 
6.7%
별 425
 
6.7%
울 425
 
6.7%
지 157
 
2.5%
배 140
 
2.2%
Other values (137) 1943
30.8%
Uppercase Letter
ValueCountFrequency (%)
C 10
12.8%
B 8
10.3%
N 8
10.3%
T 8
10.3%
L 6
 
7.7%
A 6
 
7.7%
S 4
 
5.1%
R 4
 
5.1%
I 4
 
5.1%
Y 4
 
5.1%
Other values (7) 16
20.5%
Other Punctuation
ValueCountFrequency (%)
* 1978
99.1%
, 18
 
0.9%
Space Separator
ValueCountFrequency (%)
1634
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 369
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6303
60.7%
Common 4003
38.5%
Latin 78
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 969
15.4%
초 528
 
8.4%
동 435
 
6.9%
구 429
 
6.8%
시 427
 
6.8%
특 425
 
6.7%
별 425
 
6.7%
울 425
 
6.7%
지 157
 
2.5%
배 140
 
2.2%
Other values (137) 1943
30.8%
Latin
ValueCountFrequency (%)
C 10
12.8%
B 8
10.3%
N 8
10.3%
T 8
10.3%
L 6
 
7.7%
A 6
 
7.7%
S 4
 
5.1%
R 4
 
5.1%
I 4
 
5.1%
Y 4
 
5.1%
Other values (7) 16
20.5%
Common
ValueCountFrequency (%)
* 1978
49.4%
1634
40.8%
- 369
 
9.2%
, 18
 
0.4%
) 2
 
< 0.1%
( 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6303
60.7%
ASCII 4081
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1978
48.5%
1634
40.0%
- 369
 
9.0%
, 18
 
0.4%
C 10
 
0.2%
B 8
 
0.2%
N 8
 
0.2%
T 8
 
0.2%
L 6
 
0.1%
A 6
 
0.1%
Other values (13) 36
 
0.9%
Hangul
ValueCountFrequency (%)
서 969
15.4%
초 528
 
8.4%
동 435
 
6.9%
구 429
 
6.8%
시 427
 
6.8%
특 425
 
6.7%
별 425
 
6.7%
울 425
 
6.7%
지 157
 
2.5%
배 140
 
2.2%
Other values (137) 1943
30.8%

도로명주소
Text

Distinct158
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-18T09:52:04.317884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length32.969555
Min length21

Characters and Unicode

Total characters14078
Distinct characters192
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

Unique6 ?
Unique (%)1.4%

Sample

1st row서울특별시 서초구 서초대로*길 **, *층 (방배동)
2nd row서울특별시 서초구 서초중앙로 **, ***호 (서초동, 서초쌍용플래티넘)
3rd row서울특별시 서초구 주흥길 **, B**호 (반포동)
4th row서울특별시 서초구 반포대로 **, 와라빌딩 지층 (서초동)
5th row서울특별시 서초구 반포대로 **, 와라빌딩 지층 (서초동)
ValueCountFrequency (%)
서울특별시 427
15.2%
서초구 425
15.1%
420
14.9%
층 209
 
7.4%
방배동 138
 
4.9%
호 107
 
3.8%
반포동 102
 
3.6%
서초동 88
 
3.1%
양재동 52
 
1.8%
지하*층 30
 
1.1%
Other values (158) 817
29.0%
2024-05-18T09:52:05.229738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2390
17.0%
* 1974
 
14.0%
서 1041
 
7.4%
초 584
 
4.1%
동 494
 
3.5%
구 433
 
3.1%
시 431
 
3.1%
특 427
 
3.0%
별 427
 
3.0%
울 427
 
3.0%
Other values (182) 5450
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8288
58.9%
Other Punctuation 2400
 
17.0%
Space Separator 2390
 
17.0%
Close Punctuation 427
 
3.0%
Open Punctuation 427
 
3.0%
Uppercase Letter 102
 
0.7%
Dash Punctuation 44
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1041
 
12.6%
초 584
 
7.0%
동 494
 
6.0%
구 433
 
5.2%
시 431
 
5.2%
특 427
 
5.2%
별 427
 
5.2%
울 427
 
5.2%
로 422
 
5.1%
층 255
 
3.1%
Other values (157) 3347
40.4%
Uppercase Letter
ValueCountFrequency (%)
B 12
11.8%
A 12
11.8%
C 10
9.8%
F 8
 
7.8%
T 8
 
7.8%
N 8
 
7.8%
P 6
 
5.9%
L 6
 
5.9%
S 4
 
3.9%
I 4
 
3.9%
Other values (9) 24
23.5%
Other Punctuation
ValueCountFrequency (%)
* 1974
82.2%
, 426
 
17.8%
Space Separator
ValueCountFrequency (%)
2390
100.0%
Close Punctuation
ValueCountFrequency (%)
) 427
100.0%
Open Punctuation
ValueCountFrequency (%)
( 427
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8288
58.9%
Common 5688
40.4%
Latin 102
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1041
 
12.6%
초 584
 
7.0%
동 494
 
6.0%
구 433
 
5.2%
시 431
 
5.2%
특 427
 
5.2%
별 427
 
5.2%
울 427
 
5.2%
로 422
 
5.1%
층 255
 
3.1%
Other values (157) 3347
40.4%
Latin
ValueCountFrequency (%)
B 12
11.8%
A 12
11.8%
C 10
9.8%
F 8
 
7.8%
T 8
 
7.8%
N 8
 
7.8%
P 6
 
5.9%
L 6
 
5.9%
S 4
 
3.9%
I 4
 
3.9%
Other values (9) 24
23.5%
Common
ValueCountFrequency (%)
2390
42.0%
* 1974
34.7%
) 427
 
7.5%
( 427
 
7.5%
, 426
 
7.5%
- 44
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8288
58.9%
ASCII 5790
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2390
41.3%
* 1974
34.1%
) 427
 
7.4%
( 427
 
7.4%
, 426
 
7.4%
- 44
 
0.8%
B 12
 
0.2%
A 12
 
0.2%
C 10
 
0.2%
F 8
 
0.1%
Other values (15) 60
 
1.0%
Hangul
ValueCountFrequency (%)
서 1041
 
12.6%
초 584
 
7.0%
동 494
 
6.0%
구 433
 
5.2%
시 431
 
5.2%
특 427
 
5.2%
별 427
 
5.2%
울 427
 
5.2%
로 422
 
5.1%
층 255
 
3.1%
Other values (157) 3347
40.4%

도로명우편번호
Real number (ℝ)

Distinct99
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6628.1663
Minimum6115
Maximum6798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-18T09:52:05.574509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6115
5-th percentile6515.9
Q16558
median6624
Q36687
95-th percentile6771
Maximum6798
Range683
Interquartile range (IQR)129

Descriptive statistics

Standard deviation89.800107
Coefficient of variation (CV)0.013548258
Kurtosis3.453824
Mean6628.1663
Median Absolute Deviation (MAD)64
Skewness-0.56264081
Sum2830227
Variance8064.0591
MonotonicityNot monotonic
2024-05-18T09:52:06.149530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6677 14
 
3.3%
6675 13
 
3.0%
6643 12
 
2.8%
6560 12
 
2.8%
6547 11
 
2.6%
6784 10
 
2.3%
6571 10
 
2.3%
6585 10
 
2.3%
6687 10
 
2.3%
6764 8
 
1.9%
Other values (89) 317
74.2%
ValueCountFrequency (%)
6115 2
 
0.5%
6502 8
1.9%
6509 2
 
0.5%
6510 2
 
0.5%
6511 2
 
0.5%
6514 4
0.9%
6515 2
 
0.5%
6518 3
 
0.7%
6523 2
 
0.5%
6527 8
1.9%
ValueCountFrequency (%)
6798 4
 
0.9%
6791 2
 
0.5%
6784 10
2.3%
6779 2
 
0.5%
6771 8
1.9%
6768 2
 
0.5%
6767 2
 
0.5%
6764 8
1.9%
6754 2
 
0.5%
6753 2
 
0.5%

사업장명
Text

Distinct153
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-18T09:52:06.714964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length7.7400468
Min length2

Characters and Unicode

Total characters3305
Distinct characters277
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)1.4%

Sample

1st row노아네
2nd rowPET292주 1770
3rd row지정한 펫택시
4th row꽃길걷개
5th row꽃길걷개
ValueCountFrequency (%)
서초점 12
 
2.0%
주식회사 12
 
2.0%
pet 11
 
1.8%
캣틀리에 10
 
1.7%
브이케어 8
 
1.3%
헤이븐동물병원 8
 
1.3%
동물병원 8
 
1.3%
반려동물 8
 
1.3%
양재점 8
 
1.3%
의료센터 6
 
1.0%
Other values (183) 511
84.9%
2024-05-18T09:52:07.670555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
 
5.3%
동 158
 
4.8%
물 148
 
4.5%
원 132
 
4.0%
병 124
 
3.8%
이 104
 
3.1%
펫 64
 
1.9%
스 62
 
1.9%
아 51
 
1.5%
서 50
 
1.5%
Other values (267) 2237
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2599
78.6%
Uppercase Letter 249
 
7.5%
Space Separator 175
 
5.3%
Lowercase Letter 125
 
3.8%
Decimal Number 55
 
1.7%
Close Punctuation 45
 
1.4%
Open Punctuation 45
 
1.4%
Other Punctuation 6
 
0.2%
Dash Punctuation 4
 
0.1%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 158
 
6.1%
물 148
 
5.7%
원 132
 
5.1%
병 124
 
4.8%
이 104
 
4.0%
펫 64
 
2.5%
스 62
 
2.4%
아 51
 
2.0%
서 50
 
1.9%
리 48
 
1.8%
Other values (212) 1658
63.8%
Uppercase Letter
ValueCountFrequency (%)
E 29
11.6%
T 29
11.6%
P 27
10.8%
A 18
 
7.2%
S 18
 
7.2%
I 16
 
6.4%
M 12
 
4.8%
R 12
 
4.8%
O 12
 
4.8%
L 10
 
4.0%
Other values (12) 66
26.5%
Lowercase Letter
ValueCountFrequency (%)
r 22
17.6%
o 14
11.2%
e 12
9.6%
m 11
8.8%
p 10
8.0%
n 10
8.0%
g 8
 
6.4%
i 8
 
6.4%
y 8
 
6.4%
l 5
 
4.0%
Other values (6) 17
13.6%
Decimal Number
ValueCountFrequency (%)
2 9
16.4%
1 9
16.4%
0 8
14.5%
7 8
14.5%
4 5
9.1%
8 4
7.3%
6 4
7.3%
5 4
7.3%
9 2
 
3.6%
3 2
 
3.6%
Other Punctuation
ValueCountFrequency (%)
' 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
175
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2601
78.7%
Latin 374
 
11.3%
Common 330
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 158
 
6.1%
물 148
 
5.7%
원 132
 
5.1%
병 124
 
4.8%
이 104
 
4.0%
펫 64
 
2.5%
스 62
 
2.4%
아 51
 
2.0%
서 50
 
1.9%
리 48
 
1.8%
Other values (213) 1660
63.8%
Latin
ValueCountFrequency (%)
E 29
 
7.8%
T 29
 
7.8%
P 27
 
7.2%
r 22
 
5.9%
A 18
 
4.8%
S 18
 
4.8%
I 16
 
4.3%
o 14
 
3.7%
e 12
 
3.2%
M 12
 
3.2%
Other values (28) 177
47.3%
Common
ValueCountFrequency (%)
175
53.0%
) 45
 
13.6%
( 45
 
13.6%
2 9
 
2.7%
1 9
 
2.7%
0 8
 
2.4%
7 8
 
2.4%
4 5
 
1.5%
8 4
 
1.2%
6 4
 
1.2%
Other values (6) 18
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2599
78.6%
ASCII 704
 
21.3%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
24.9%
) 45
 
6.4%
( 45
 
6.4%
E 29
 
4.1%
T 29
 
4.1%
P 27
 
3.8%
r 22
 
3.1%
A 18
 
2.6%
S 18
 
2.6%
I 16
 
2.3%
Other values (44) 280
39.8%
Hangul
ValueCountFrequency (%)
동 158
 
6.1%
물 148
 
5.7%
원 132
 
5.1%
병 124
 
4.8%
이 104
 
4.0%
펫 64
 
2.5%
스 62
 
2.4%
아 51
 
2.0%
서 50
 
1.9%
리 48
 
1.8%
Other values (212) 1658
63.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

Distinct232
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2013-11-01 13:33:02
Maximum2022-06-22 09:41:10
2024-05-18T09:52:08.110626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:52:08.575585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
I
312 
U
115 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 312
73.1%
U 115
 
26.9%

Length

2024-05-18T09:52:08.891566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:52:09.113115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 312
73.1%
u 115
 
26.9%

데이터갱신일자
Date

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2021-12-04 22:07:00
Maximum2021-12-07 00:02:00
2024-05-18T09:52:09.271302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:52:09.569283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct136
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200771.79
Minimum198351.95
Maximum204917.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-18T09:52:09.947844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198351.95
5-th percentile198424.78
Q1199238.95
median200800.42
Q3201876.15
95-th percentile203667.73
Maximum204917.35
Range6565.3959
Interquartile range (IQR)2637.1951

Descriptive statistics

Standard deviation1670.0893
Coefficient of variation (CV)0.0083183464
Kurtosis-0.85817709
Mean200771.79
Median Absolute Deviation (MAD)1328.2099
Skewness0.3256913
Sum85729554
Variance2789198.2
MonotonicityNot monotonic
2024-05-18T09:52:10.381306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200005.626362552 10
 
2.3%
198424.78286692 10
 
2.3%
203204.755637424 8
 
1.9%
199054.857907608 8
 
1.9%
201907.192235434 8
 
1.9%
201391.201937125 8
 
1.9%
199048.942766358 6
 
1.4%
201512.445454127 6
 
1.4%
203468.691667165 6
 
1.4%
198380.114292953 6
 
1.4%
Other values (126) 351
82.2%
ValueCountFrequency (%)
198351.955 6
1.4%
198361.492288503 4
 
0.9%
198380.114292953 6
1.4%
198424.78286692 10
2.3%
198449.914939428 2
 
0.5%
198490.65999772 2
 
0.5%
198500.982762628 2
 
0.5%
198518.582905846 1
 
0.2%
198554.622804054 2
 
0.5%
198564.862361171 4
 
0.9%
ValueCountFrequency (%)
204917.350884108 4
0.9%
204382.914756727 2
 
0.5%
203997.623430765 4
0.9%
203936.477642859 6
1.4%
203690.03 6
1.4%
203615.710621925 2
 
0.5%
203598.675861737 2
 
0.5%
203580.297336547 2
 
0.5%
203578.82075276 2
 
0.5%
203514.915726955 2
 
0.5%

좌표정보(Y)
Real number (ℝ)

Distinct136
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443192.09
Minimum439261.37
Maximum446565.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-18T09:52:10.773384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439261.37
5-th percentile440208.84
Q1442325.92
median443124.59
Q3444315.19
95-th percentile445342.62
Maximum446565.03
Range7303.6579
Interquartile range (IQR)1989.269

Descriptive statistics

Standard deviation1459.9299
Coefficient of variation (CV)0.0032941245
Kurtosis-0.024662902
Mean443192.09
Median Absolute Deviation (MAD)915.04139
Skewness-0.2270536
Sum1.8924302 × 108
Variance2131395.4
MonotonicityNot monotonic
2024-05-18T09:52:11.070031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444680.521703344 10
 
2.3%
442209.553028789 10
 
2.3%
440136.781183797 8
 
1.9%
443527.101950574 8
 
1.9%
444731.440860365 8
 
1.9%
445739.337188811 8
 
1.9%
442825.787587011 6
 
1.4%
443438.983845733 6
 
1.4%
441581.921783303 6
 
1.4%
442484.119734686 6
 
1.4%
Other values (126) 351
82.2%
ValueCountFrequency (%)
439261.37081518 4
0.9%
439400.974144411 2
 
0.5%
439730.929547293 2
 
0.5%
439920.557145151 4
0.9%
440136.781183797 8
1.9%
440208.843928869 4
0.9%
440891.547609374 2
 
0.5%
441050.644734858 6
1.4%
441060.986677466 2
 
0.5%
441078.17661246 4
0.9%
ValueCountFrequency (%)
446565.028672992 4
0.9%
445992.459343379 2
 
0.5%
445792.191399183 3
 
0.7%
445739.337188811 8
1.9%
445644.576198044 2
 
0.5%
445350.656913916 2
 
0.5%
445342.622144829 2
 
0.5%
445334.308692995 2
 
0.5%
445312.440423257 6
1.4%
445309.751455055 2
 
0.5%

축산업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

권리주체일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing427
Missing (%)100.0%
Memory size3.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0321000032100000492022001120220503<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 서초구 방배동 ***-**서울특별시 서초구 서초대로*길 **, *층 (방배동)6675노아네2022-05-03 15:35:27I2021-12-07 00:02:00.0<NA>198646.60079442555.958921<NA><NA><NA><NA><NA>
1321000032100000502022000920220519<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 서초구 서초동 ****-** 서초쌍용플래티넘 ***호서울특별시 서초구 서초중앙로 **, ***호 (서초동, 서초쌍용플래티넘)6720PET292주 17702022-05-19 10:09:00I2021-12-07 00:02:00.0<NA>201463.6903442429.147526<NA><NA><NA><NA><NA>
2321000032100000502018009020181126<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 서초구 반포동 ***-** B**호서울특별시 서초구 주흥길 **, B**호 (반포동)6539지정한 펫택시2022-05-31 14:12:52U2021-12-07 00:02:00.0<NA>201643.630634444755.675613<NA><NA><NA><NA><NA>
3321000032100000372022001020220411<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 서초구 서초동 ****-* 와라빌딩서울특별시 서초구 반포대로 **, 와라빌딩 지층 (서초동)6716꽃길걷개2022-04-11 17:40:19I2021-12-04 22:07:00.0<NA>200984.4119442413.082306<NA><NA><NA><NA><NA>
4321000032100000372022001120220411<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 서초구 서초동 ****-* 와라빌딩서울특별시 서초구 반포대로 **, 와라빌딩 지층 (서초동)6716꽃길걷개2022-04-11 17:44:55I2021-12-04 22:07:00.0<NA>200984.4119442413.082306<NA><NA><NA><NA><NA>
5321000032100000502022001020220609<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 서초구 반포동 ***-** ***호서울특별시 서초구 주흥길 **-*, ***호 (반포동)6540PET 67라 01122022-06-09 17:17:00I2021-12-07 00:02:00.0<NA>201751.331082444901.644672<NA><NA><NA><NA><NA>
6321000032100000372018002820180822<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-521-90100<NA>서울특별시 서초구 방배동 ***-*서울특별시 서초구 방배로 *** (방배동)6682디아나동물병원2022-04-26 10:51:46U2021-12-04 22:07:00.0<NA>199509.90163442495.949502<NA><NA><NA><NA><NA>
7321000032100000502022001320220622<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 서초구 방배동 ***-*서울특별시 서초구 동광로*길 **-*(방배동)6559PET10무 91672022-06-22 09:41:10I2021-12-07 00:02:00.0<NA>198518.582906443356.768918<NA><NA><NA><NA><NA>
8321000032100000502022001220220620<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 서초구 서초동 ****-*서울특별시 서초구 효령로**길 **(서초동)6642PET 157마 51242022-06-20 10:13:48I2021-12-07 00:02:00.0<NA>201919.166343443080.814764<NA><NA><NA><NA><NA>
9321000032100000502022001120220610<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 서초구 반포동 **-* 래미안퍼스티지아파트서울특별시 서초구 반포대로 ***(반포동, 래미안퍼스티지아파트)6547PET 151모 72052022-06-10 17:57:11I2021-12-07 00:02:00.0<NA>199863.640575444524.211587<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
417321000032100000372014000220140728<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 서초구 양재동 *-* *층서울특별시 서초구 바우뫼로 ***, *층 (양재동)6745도그스페이스2021-06-30 10:49:54U2021-12-04 22:07:00.0<NA>203578.820753442031.284672<NA><NA><NA><NA><NA>
418321000032100000372014000120140303<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 서초구 반포동 ***-**번지 *층서울특별시 서초구 강남대로**길 **, *층 (반포동)6536해피애견타운2014-03-03 14:46:16I2021-12-04 22:07:00.0<NA>201866.087336445002.955099<NA><NA><NA><NA><NA>
419321000032100000372013000220131101<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-2690-73110<NA>서울특별시 서초구 양재동 ***번지서울특별시 서초구 매헌로 **, 지하*층 (양재동)6771로얄수족관2013-11-01 13:33:02I2021-12-04 22:07:00.0<NA>203204.755637440136.781184<NA><NA><NA><NA><NA>
420321000032100000372013000120130709<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 서초구 방배동 ***-**서울특별시 서초구 도구로 ** (방배동)6675영점일프로 방배점2021-03-08 16:35:06U2021-12-04 22:07:00.0<NA>198680.722558442497.464938<NA><NA><NA><NA><NA>
421321000032100000372016001320121116<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-3476-3535<NA><NA>서울특별시 서초구 반포동 **-**번지서울특별시 서초구 사평대로**길 **-** (반포동, 베리타스타운)6544반포자이동물병원2016-12-29 10:30:44I2021-12-04 22:07:00.0<NA>201162.735444940.18<NA><NA><NA><NA><NA>
422321000032100000372012000120120507<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-536-34220<NA>서울특별시 서초구 방배동 ***-**번지서울특별시 서초구 방배로**길 * (방배동)6561트리밍 8072016-05-27 14:44:36I2021-12-04 22:07:00.0<NA>198983.698693443486.702446<NA><NA><NA><NA><NA>
423321000032100000372016000220120419<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-2690-73110<NA>서울특별시 서초구 잠원동 킴스클럽 지하*층서울특별시 서초구 잠원로 **, 지하*층 (잠원동, 킴스클럽)6511지오아쿠아2021-06-01 08:54:32U2021-12-04 22:07:00.0<NA>200576.608648445241.898418<NA><NA><NA><NA><NA>
424321000032100000372016000120120327<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-2155-10520<NA>서울특별시 서초구 양재동 ***번지서울특별시 서초구 매헌로 ** (양재동, 하이브랜드)6771(주)이마트 양재점2018-06-22 16:41:05I2021-12-04 22:07:00.0<NA>203204.755637440136.781184<NA><NA><NA><NA><NA>
425321000032100000372016000620091224<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-3447-1357<NA><NA>서울특별시 서초구 반포동 ***-*번지서울특별시 서초구 신반포로 *** (반포동)6534STAR동물병원2016-08-30 18:02:12I2021-12-04 22:07:00.0<NA>201682.084788445350.656914<NA><NA><NA><NA><NA>
426321000032100000372015000320090421<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-581-25240<NA>서울특별시 서초구 방배동 대광빌딩 *층서울특별시 서초구 동작대로 **, *층 (방배동, 대광빌딩 )6691포포즈동물의료센터2016-07-25 18:33:29I2021-12-04 22:07:00.0<NA>198351.955441943.105<NA><NA><NA><NA><NA>