Overview

Dataset statistics

Number of variables30
Number of observations809
Missing cells9454
Missing cells (%)39.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory205.5 KiB
Average record size in memory260.2 B

Variable types

Categorical8
Numeric4
DateTime3
Unsupported11
Text4

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16614/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (97.6%)Imbalance
영업상태명 is highly imbalanced (97.6%)Imbalance
상세영업상태코드 is highly imbalanced (97.6%)Imbalance
상세영업상태명 is highly imbalanced (97.6%)Imbalance
소재지면적 is highly imbalanced (93.7%)Imbalance
인허가취소일자 has 809 (100.0%) missing valuesMissing
휴업시작일자 has 809 (100.0%) missing valuesMissing
휴업종료일자 has 809 (100.0%) missing valuesMissing
재개업일자 has 809 (100.0%) missing valuesMissing
전화번호 has 487 (60.2%) missing valuesMissing
소재지우편번호 has 809 (100.0%) missing valuesMissing
지번주소 has 10 (1.2%) missing valuesMissing
업태구분명 has 809 (100.0%) missing valuesMissing
좌표정보(X) has 25 (3.1%) missing valuesMissing
좌표정보(Y) has 25 (3.1%) missing valuesMissing
축산업무구분명 has 809 (100.0%) missing valuesMissing
축산물가공업구분명 has 809 (100.0%) missing valuesMissing
축산일련번호 has 809 (100.0%) missing valuesMissing
권리주체일련번호 has 809 (100.0%) missing valuesMissing
총인원 has 809 (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 started2024-05-11 06:31:41.748077
Analysis finished2024-05-11 06:31:42.778801
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
3230000
809 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 809
100.0%

Length

2024-05-11T15:31:42.919180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:43.093749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 809
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct809
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.23 × 1017
Minimum3.23 × 1017
Maximum3.2300001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-05-11T15:31:43.292494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.23 × 1017
5-th percentile3.23 × 1017
Q13.23 × 1017
median3.23 × 1017
Q33.23 × 1017
95-th percentile3.23 × 1017
Maximum3.2300001 × 1017
Range1.30014 × 109
Interquartile range (IQR)1.1000099 × 109

Descriptive statistics

Standard deviation5.3575353 × 108
Coefficient of variation (CV)1.6586796 × 10-9
Kurtosis-1.8102112
Mean3.23 × 1017
Median Absolute Deviation (MAD)5.0013005 × 108
Skewness0.12248003
Sum3.0525864 × 1018
Variance2.8703184 × 1017
MonotonicityNot monotonic
2024-05-11T15:31:43.566701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
323000003720190055 1
 
0.1%
323000003720200013 1
 
0.1%
323000003720200023 1
 
0.1%
323000003720200022 1
 
0.1%
323000003720200021 1
 
0.1%
323000003720200020 1
 
0.1%
323000003720200019 1
 
0.1%
323000003720180115 1
 
0.1%
323000003720200018 1
 
0.1%
323000003720200017 1
 
0.1%
Other values (799) 799
98.8%
ValueCountFrequency (%)
323000003720080001 1
0.1%
323000003720080002 1
0.1%
323000003720080003 1
0.1%
323000003720080004 1
0.1%
323000003720080005 1
0.1%
323000003720080006 1
0.1%
323000003720080007 1
0.1%
323000003720080008 1
0.1%
323000003720080009 1
0.1%
323000003720080010 1
0.1%
ValueCountFrequency (%)
323000005020220025 1
0.1%
323000005020220024 1
0.1%
323000005020220023 1
0.1%
323000005020220022 1
0.1%
323000005020220021 1
0.1%
323000005020220019 1
0.1%
323000005020220017 1
0.1%
323000005020220008 1
0.1%
323000005020220004 1
0.1%
323000005020210023 1
0.1%

인허가일자
Date

Distinct267
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2008-08-06 00:00:00
Maximum2022-06-28 00:00:00
2024-05-11T15:31:43.819122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:31:44.037664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
4
806 
1
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 806
99.6%
1 2
 
0.2%
3 1
 
0.1%

Length

2024-05-11T15:31:44.218115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:44.367978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 806
99.6%
1 2
 
0.2%
3 1
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
취소/말소/만료/정지/중지
806 
영업/정상
 
2
폐업
 
1

Length

Max length14
Median length14
Mean length13.962917
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row영업/정상
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 806
99.6%
영업/정상 2
 
0.2%
폐업 1
 
0.1%

Length

2024-05-11T15:31:44.603759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:44.828648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 806
99.6%
영업/정상 2
 
0.2%
폐업 1
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
4
806 
0
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 806
99.6%
0 2
 
0.2%
2 1
 
0.1%

Length

2024-05-11T15:31:45.022204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:45.251168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 806
99.6%
0 2
 
0.2%
2 1
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
말소
806 
정상
 
2
폐업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
말소 806
99.6%
정상 2
 
0.2%
폐업 1
 
0.1%

Length

2024-05-11T15:31:45.447794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:45.612968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말소 806
99.6%
정상 2
 
0.2%
폐업 1
 
0.1%

폐업일자
Categorical

Distinct4
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
20220701
414 
20220526
390 
<NA>
 
4
20220615
 
1

Length

Max length8
Median length8
Mean length7.9802225
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row20220701
3rd row20220701
4th row20220701
5th row20220701

Common Values

ValueCountFrequency (%)
20220701 414
51.2%
20220526 390
48.2%
<NA> 4
 
0.5%
20220615 1
 
0.1%

Length

2024-05-11T15:31:45.806089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:46.015437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20220701 414
51.2%
20220526 390
48.2%
na 4
 
0.5%
20220615 1
 
0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

전화번호
Text

MISSING 

Distinct123
Distinct (%)38.2%
Missing487
Missing (%)60.2%
Memory size6.4 KiB
2024-05-11T15:31:46.355392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.782609
Min length7

Characters and Unicode

Total characters3472
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-6404-0134
2nd row02-425-5201
3rd row02-420-9993
4th row02-420-9993
5th row02-2202-7399
ValueCountFrequency (%)
1566-8713 6
 
1.9%
02-409-7533 6
 
1.9%
02-420-9993 6
 
1.9%
070-7766-0314 6
 
1.9%
02-449-2700 6
 
1.9%
02-2202-5265 5
 
1.6%
02-3012-4400 5
 
1.6%
419-6773 4
 
1.2%
02-423-8280 4
 
1.2%
02-2043-7582 4
 
1.2%
Other values (113) 270
83.9%
2024-05-11T15:31:46.951252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 624
18.0%
2 553
15.9%
- 548
15.8%
4 382
11.0%
7 232
 
6.7%
5 230
 
6.6%
1 229
 
6.6%
3 185
 
5.3%
8 184
 
5.3%
9 174
 
5.0%
Other values (2) 131
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2920
84.1%
Dash Punctuation 548
 
15.8%
Other Punctuation 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 624
21.4%
2 553
18.9%
4 382
13.1%
7 232
 
7.9%
5 230
 
7.9%
1 229
 
7.8%
3 185
 
6.3%
8 184
 
6.3%
9 174
 
6.0%
6 127
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 548
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3472
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 624
18.0%
2 553
15.9%
- 548
15.8%
4 382
11.0%
7 232
 
6.7%
5 230
 
6.6%
1 229
 
6.6%
3 185
 
5.3%
8 184
 
5.3%
9 174
 
5.0%
Other values (2) 131
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3472
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 624
18.0%
2 553
15.9%
- 548
15.8%
4 382
11.0%
7 232
 
6.7%
5 230
 
6.6%
1 229
 
6.6%
3 185
 
5.3%
8 184
 
5.3%
9 174
 
5.0%
Other values (2) 131
 
3.8%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
0
803 
<NA>
 
6

Length

Max length4
Median length1
Mean length1.0222497
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 803
99.3%
<NA> 6
 
0.7%

Length

2024-05-11T15:31:47.186581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:47.363716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 803
99.3%
na 6
 
0.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

지번주소
Text

MISSING 

Distinct335
Distinct (%)41.9%
Missing10
Missing (%)1.2%
Memory size6.4 KiB
2024-05-11T15:31:47.763293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length23.182728
Min length13

Characters and Unicode

Total characters18523
Distinct characters216
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

Unique151 ?
Unique (%)18.9%

Sample

1st row서울특별시 송파구 마천동 ***-*
2nd row서울특별시 송파구 마천동 ***-*
3rd row서울특별시 송파구 송파동 **-**
4th row서울특별시 송파구 문정동 *** 문정시영아파트
5th row서울특별시 송파구 거여동 *** 위례포레샤인 **단지
ValueCountFrequency (%)
서울특별시 799
20.8%
송파구 799
20.8%
570
14.9%
번지 223
 
5.8%
문정동 129
 
3.4%
잠실동 127
 
3.3%
층 124
 
3.2%
송파동 95
 
2.5%
석촌동 89
 
2.3%
방이동 63
 
1.6%
Other values (145) 819
21.3%
2024-05-11T15:31:48.388410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 3187
17.2%
3038
16.4%
파 1006
 
5.4%
송 930
 
5.0%
시 825
 
4.5%
동 814
 
4.4%
서 806
 
4.4%
특 799
 
4.3%
별 799
 
4.3%
구 799
 
4.3%
Other values (206) 5520
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11572
62.5%
Other Punctuation 3195
 
17.2%
Space Separator 3038
 
16.4%
Dash Punctuation 624
 
3.4%
Uppercase Letter 70
 
0.4%
Lowercase Letter 12
 
0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 1006
 
8.7%
송 930
 
8.0%
시 825
 
7.1%
동 814
 
7.0%
서 806
 
7.0%
특 799
 
6.9%
별 799
 
6.9%
구 799
 
6.9%
울 799
 
6.9%
지 299
 
2.6%
Other values (178) 3696
31.9%
Uppercase Letter
ValueCountFrequency (%)
A 14
20.0%
S 6
8.6%
O 6
8.6%
M 6
8.6%
L 4
 
5.7%
E 4
 
5.7%
P 4
 
5.7%
Y 4
 
5.7%
Z 4
 
5.7%
N 4
 
5.7%
Other values (7) 14
20.0%
Other Punctuation
ValueCountFrequency (%)
* 3187
99.7%
& 4
 
0.1%
; 4
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 4
33.3%
m 4
33.3%
p 4
33.3%
Space Separator
ValueCountFrequency (%)
3038
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 624
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11572
62.5%
Common 6869
37.1%
Latin 82
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 1006
 
8.7%
송 930
 
8.0%
시 825
 
7.1%
동 814
 
7.0%
서 806
 
7.0%
특 799
 
6.9%
별 799
 
6.9%
구 799
 
6.9%
울 799
 
6.9%
지 299
 
2.6%
Other values (178) 3696
31.9%
Latin
ValueCountFrequency (%)
A 14
17.1%
S 6
 
7.3%
O 6
 
7.3%
M 6
 
7.3%
L 4
 
4.9%
a 4
 
4.9%
E 4
 
4.9%
m 4
 
4.9%
p 4
 
4.9%
P 4
 
4.9%
Other values (10) 26
31.7%
Common
ValueCountFrequency (%)
* 3187
46.4%
3038
44.2%
- 624
 
9.1%
& 4
 
0.1%
~ 4
 
0.1%
; 4
 
0.1%
) 4
 
0.1%
( 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11572
62.5%
ASCII 6951
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 3187
45.8%
3038
43.7%
- 624
 
9.0%
A 14
 
0.2%
S 6
 
0.1%
O 6
 
0.1%
M 6
 
0.1%
L 4
 
0.1%
& 4
 
0.1%
a 4
 
0.1%
Other values (18) 58
 
0.8%
Hangul
ValueCountFrequency (%)
파 1006
 
8.7%
송 930
 
8.0%
시 825
 
7.1%
동 814
 
7.0%
서 806
 
7.0%
특 799
 
6.9%
별 799
 
6.9%
구 799
 
6.9%
울 799
 
6.9%
지 299
 
2.6%
Other values (178) 3696
31.9%

도로명주소
Text

Distinct289
Distinct (%)35.9%
Missing4
Missing (%)0.5%
Memory size6.4 KiB
2024-05-11T15:31:48.806681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length33.27205
Min length21

Characters and Unicode

Total characters26784
Distinct characters242
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

Unique14 ?
Unique (%)1.7%

Sample

1st row서울특별시 송파구 성내천로**길 **-* (마천동)
2nd row서울특별시 송파구 마천로**길 **(마천동)
3rd row서울특별시 송파구 송파대로**길 **, *층 (송파동)
4th row서울특별시 송파구 송이로**길 **, *동 ****호 (문정동, 문정시영아파트)
5th row서울특별시 송파구 위례북로*길 **, ****동 ****호 (거여동, 위례포레샤인 **단지)
ValueCountFrequency (%)
서울특별시 805
15.0%
송파구 805
15.0%
802
15.0%
층 448
 
8.4%
호 238
 
4.4%
문정동 133
 
2.5%
잠실동 127
 
2.4%
송파동 99
 
1.8%
석촌동 91
 
1.7%
백제고분로**길 71
 
1.3%
Other values (234) 1736
32.4%
2024-05-11T15:31:49.645520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4550
17.0%
* 4008
 
15.0%
파 1096
 
4.1%
송 1037
 
3.9%
동 955
 
3.6%
, 843
 
3.1%
시 831
 
3.1%
서 817
 
3.1%
로 811
 
3.0%
( 809
 
3.0%
Other values (232) 11027
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15503
57.9%
Other Punctuation 4859
 
18.1%
Space Separator 4550
 
17.0%
Open Punctuation 809
 
3.0%
Close Punctuation 809
 
3.0%
Uppercase Letter 154
 
0.6%
Dash Punctuation 82
 
0.3%
Lowercase Letter 12
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 1096
 
7.1%
송 1037
 
6.7%
동 955
 
6.2%
시 831
 
5.4%
서 817
 
5.3%
로 811
 
5.2%
구 805
 
5.2%
울 805
 
5.2%
특 805
 
5.2%
별 805
 
5.2%
Other values (199) 6736
43.4%
Uppercase Letter
ValueCountFrequency (%)
B 42
27.3%
A 20
13.0%
E 12
 
7.8%
S 12
 
7.8%
M 8
 
5.2%
C 6
 
3.9%
L 6
 
3.9%
U 6
 
3.9%
N 6
 
3.9%
O 6
 
3.9%
Other values (11) 30
19.5%
Other Punctuation
ValueCountFrequency (%)
* 4008
82.5%
, 843
 
17.3%
; 4
 
0.1%
& 4
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
p 4
33.3%
m 4
33.3%
a 4
33.3%
Space Separator
ValueCountFrequency (%)
4550
100.0%
Open Punctuation
ValueCountFrequency (%)
( 809
100.0%
Close Punctuation
ValueCountFrequency (%)
) 809
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15503
57.9%
Common 11115
41.5%
Latin 166
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 1096
 
7.1%
송 1037
 
6.7%
동 955
 
6.2%
시 831
 
5.4%
서 817
 
5.3%
로 811
 
5.2%
구 805
 
5.2%
울 805
 
5.2%
특 805
 
5.2%
별 805
 
5.2%
Other values (199) 6736
43.4%
Latin
ValueCountFrequency (%)
B 42
25.3%
A 20
12.0%
E 12
 
7.2%
S 12
 
7.2%
M 8
 
4.8%
C 6
 
3.6%
L 6
 
3.6%
U 6
 
3.6%
N 6
 
3.6%
O 6
 
3.6%
Other values (14) 42
25.3%
Common
ValueCountFrequency (%)
4550
40.9%
* 4008
36.1%
, 843
 
7.6%
( 809
 
7.3%
) 809
 
7.3%
- 82
 
0.7%
~ 6
 
0.1%
; 4
 
< 0.1%
& 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15503
57.9%
ASCII 11281
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4550
40.3%
* 4008
35.5%
, 843
 
7.5%
( 809
 
7.2%
) 809
 
7.2%
- 82
 
0.7%
B 42
 
0.4%
A 20
 
0.2%
E 12
 
0.1%
S 12
 
0.1%
Other values (23) 94
 
0.8%
Hangul
ValueCountFrequency (%)
파 1096
 
7.1%
송 1037
 
6.7%
동 955
 
6.2%
시 831
 
5.4%
서 817
 
5.3%
로 811
 
5.2%
구 805
 
5.2%
울 805
 
5.2%
특 805
 
5.2%
별 805
 
5.2%
Other values (199) 6736
43.4%

도로명우편번호
Real number (ℝ)

Distinct154
Distinct (%)19.1%
Missing4
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean5678.8497
Minimum5501
Maximum5855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-05-11T15:31:49.925341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5522
Q15600
median5675
Q35767
95-th percentile5847.4
Maximum5855
Range354
Interquartile range (IQR)167

Descriptive statistics

Standard deviation100.49212
Coefficient of variation (CV)0.017695858
Kurtosis-1.069775
Mean5678.8497
Median Absolute Deviation (MAD)82
Skewness0.17380704
Sum4571474
Variance10098.665
MonotonicityNot monotonic
2024-05-11T15:31:50.168351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5804 25
 
3.1%
5675 24
 
3.0%
5568 22
 
2.7%
5606 18
 
2.2%
5855 18
 
2.2%
5640 17
 
2.1%
5841 15
 
1.9%
5566 14
 
1.7%
5554 14
 
1.7%
5679 14
 
1.7%
Other values (144) 624
77.1%
ValueCountFrequency (%)
5501 6
0.7%
5502 4
 
0.5%
5503 2
 
0.2%
5504 3
 
0.4%
5507 2
 
0.2%
5508 1
 
0.1%
5510 10
1.2%
5516 2
 
0.2%
5519 2
 
0.2%
5520 8
1.0%
ValueCountFrequency (%)
5855 18
2.2%
5853 2
 
0.2%
5852 9
1.1%
5849 12
1.5%
5841 15
1.9%
5840 10
1.2%
5837 4
 
0.5%
5835 4
 
0.5%
5833 8
1.0%
5827 8
1.0%

사업장명
Text

Distinct298
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-05-11T15:31:50.600540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.7441286
Min length2

Characters and Unicode

Total characters5456
Distinct characters351
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

Unique10 ?
Unique (%)1.2%

Sample

1st row푸르메 캐터리
2nd row강아지 미용실
3rd row송파강아지 캣독
4th rowpet 69모0399
5th rowpet253거4861
ValueCountFrequency (%)
동물병원 34
 
3.1%
송파점 18
 
1.6%
몽타운 16
 
1.4%
강아지 14
 
1.3%
잠실점 13
 
1.2%
펫택시 10
 
0.9%
pet 10
 
0.9%
mm애견공방 10
 
0.9%
펫프랜드 8
 
0.7%
위드펫 8
 
0.7%
Other values (347) 965
87.3%
2024-05-11T15:31:51.819613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
5.4%
동 244
 
4.5%
물 232
 
4.3%
원 194
 
3.6%
병 192
 
3.5%
펫 162
 
3.0%
이 123
 
2.3%
리 113
 
2.1%
아 104
 
1.9%
스 102
 
1.9%
Other values (341) 3693
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4709
86.3%
Space Separator 297
 
5.4%
Uppercase Letter 143
 
2.6%
Decimal Number 133
 
2.4%
Lowercase Letter 124
 
2.3%
Open Punctuation 22
 
0.4%
Close Punctuation 22
 
0.4%
Other Punctuation 4
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 244
 
5.2%
물 232
 
4.9%
원 194
 
4.1%
병 192
 
4.1%
펫 162
 
3.4%
이 123
 
2.6%
리 113
 
2.4%
아 104
 
2.2%
스 102
 
2.2%
파 74
 
1.6%
Other values (292) 3169
67.3%
Uppercase Letter
ValueCountFrequency (%)
H 17
11.9%
S 16
11.2%
E 16
11.2%
M 12
8.4%
T 12
8.4%
P 12
8.4%
L 9
 
6.3%
B 9
 
6.3%
A 7
 
4.9%
R 4
 
2.8%
Other values (10) 29
20.3%
Lowercase Letter
ValueCountFrequency (%)
e 30
24.2%
p 18
14.5%
t 18
14.5%
o 16
12.9%
m 14
11.3%
c 10
 
8.1%
n 6
 
4.8%
h 2
 
1.6%
a 2
 
1.6%
y 2
 
1.6%
Other values (3) 6
 
4.8%
Decimal Number
ValueCountFrequency (%)
5 26
19.5%
2 25
18.8%
4 17
12.8%
0 14
10.5%
1 14
10.5%
3 12
9.0%
9 9
 
6.8%
8 6
 
4.5%
6 6
 
4.5%
7 4
 
3.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
/ 2
50.0%
Space Separator
ValueCountFrequency (%)
297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4709
86.3%
Common 480
 
8.8%
Latin 267
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 244
 
5.2%
물 232
 
4.9%
원 194
 
4.1%
병 192
 
4.1%
펫 162
 
3.4%
이 123
 
2.6%
리 113
 
2.4%
아 104
 
2.2%
스 102
 
2.2%
파 74
 
1.6%
Other values (292) 3169
67.3%
Latin
ValueCountFrequency (%)
e 30
 
11.2%
p 18
 
6.7%
t 18
 
6.7%
H 17
 
6.4%
S 16
 
6.0%
o 16
 
6.0%
E 16
 
6.0%
m 14
 
5.2%
M 12
 
4.5%
T 12
 
4.5%
Other values (23) 98
36.7%
Common
ValueCountFrequency (%)
297
61.9%
5 26
 
5.4%
2 25
 
5.2%
( 22
 
4.6%
) 22
 
4.6%
4 17
 
3.5%
0 14
 
2.9%
1 14
 
2.9%
3 12
 
2.5%
9 9
 
1.9%
Other values (6) 22
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4709
86.3%
ASCII 747
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
39.8%
e 30
 
4.0%
5 26
 
3.5%
2 25
 
3.3%
( 22
 
2.9%
) 22
 
2.9%
p 18
 
2.4%
t 18
 
2.4%
4 17
 
2.3%
H 17
 
2.3%
Other values (39) 255
34.1%
Hangul
ValueCountFrequency (%)
동 244
 
5.2%
물 232
 
4.9%
원 194
 
4.1%
병 192
 
4.1%
펫 162
 
3.4%
이 123
 
2.6%
리 113
 
2.4%
아 104
 
2.2%
스 102
 
2.2%
파 74
 
1.6%
Other values (292) 3169
67.3%

최종수정일자
Date

Distinct431
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2011-09-15 10:24:40
Maximum2023-08-08 13:02:17
2024-05-11T15:31:52.129973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:31:52.403233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
I
621 
U
188 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 621
76.8%
U 188
 
23.2%

Length

2024-05-11T15:31:52.631553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:31:52.782967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 621
76.8%
u 188
 
23.2%

데이터갱신일자
Date

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
Minimum2021-12-04 22:07:00
Maximum2022-12-08 00:09:00
2024-05-11T15:31:52.933150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:31:53.128138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)30.0%
Missing25
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean209961.57
Minimum206916.76
Maximum213537.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-05-11T15:31:53.361013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206916.76
5-th percentile207373.5
Q1208589.36
median210096.11
Q3210993.77
95-th percentile212681
Maximum213537.64
Range6620.8811
Interquartile range (IQR)2404.4089

Descriptive statistics

Standard deviation1674.4145
Coefficient of variation (CV)0.007974862
Kurtosis-0.86693916
Mean209961.57
Median Absolute Deviation (MAD)1160.5816
Skewness0.037458857
Sum1.6460987 × 108
Variance2803664
MonotonicityNot monotonic
2024-05-11T15:31:53.620459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210938.938647923 19
 
2.3%
208589.363343145 14
 
1.7%
210704.00864061 13
 
1.6%
210017.471837145 12
 
1.5%
207440.918247307 12
 
1.5%
207470.712728226 10
 
1.2%
210480.282018702 10
 
1.2%
210654.50616628 9
 
1.1%
209394.215401377 8
 
1.0%
207433.005970073 8
 
1.0%
Other values (225) 669
82.7%
(Missing) 25
 
3.1%
ValueCountFrequency (%)
206916.75835 2
 
0.2%
206958.784771636 2
 
0.2%
207003.155869738 4
0.5%
207012.516063541 6
0.7%
207048.638189411 2
 
0.2%
207154.999826048 2
 
0.2%
207167.670776783 2
 
0.2%
207186.486467352 2
 
0.2%
207197.524345281 2
 
0.2%
207261.957228607 4
0.5%
ValueCountFrequency (%)
213537.639491012 1
 
0.1%
213472.400666424 4
0.5%
213374.482750903 4
0.5%
213278.14413528 4
0.5%
213188.836406278 2
0.2%
213187.106280014 2
0.2%
213059.918263234 2
0.2%
212947.518523685 4
0.5%
212923.431207523 2
0.2%
212868.812454154 2
0.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)30.0%
Missing25
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean444433.22
Minimum441426
Maximum448299.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-05-11T15:31:53.857692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441426
5-th percentile442070.58
Q1443877.08
median444627.45
Q3445161.73
95-th percentile446007.97
Maximum448299.09
Range6873.086
Interquartile range (IQR)1284.6501

Descriptive statistics

Standard deviation1222.4706
Coefficient of variation (CV)0.0027506283
Kurtosis0.98061408
Mean444433.22
Median Absolute Deviation (MAD)632.67738
Skewness0.023280262
Sum3.4843564 × 108
Variance1494434.3
MonotonicityNot monotonic
2024-05-11T15:31:54.128365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442986.680448912 19
 
2.3%
445455.90405262 14
 
1.7%
445377.205447926 13
 
1.6%
444627.454230899 12
 
1.5%
445340.044133273 12
 
1.5%
444798.50278186 10
 
1.2%
441833.16323518 10
 
1.2%
442070.575741668 9
 
1.1%
444662.266156407 8
 
1.0%
444811.921776388 8
 
1.0%
Other values (225) 669
82.7%
(Missing) 25
 
3.1%
ValueCountFrequency (%)
441426.0 1
 
0.1%
441602.0 4
 
0.5%
441632.0 4
 
0.5%
441833.16323518 10
1.2%
441944.0 2
 
0.2%
441946.872511 2
 
0.2%
441971.271264751 4
 
0.5%
441996.227705236 2
 
0.2%
442001.0 4
 
0.5%
442053.227933005 4
 
0.5%
ValueCountFrequency (%)
448299.085960221 2
0.2%
448246.644645749 2
0.2%
448114.228064344 2
0.2%
447991.019236835 4
0.5%
447978.607438541 2
0.2%
447963.083520595 2
0.2%
447906.846309687 1
 
0.1%
447824.271348502 4
0.5%
447559.131102071 2
0.2%
447380.181370712 4
0.5%

축산업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

권리주체일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing809
Missing (%)100.0%
Memory size7.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
032300003230000037201900552019-09-20<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0<NA>서울특별시 송파구 마천동 ***-*서울특별시 송파구 성내천로**길 **-* (마천동)5747푸르메 캐터리2023-08-07 18:04:03U2022-12-08 00:09:00.0<NA>213537.639491444259.502588<NA><NA><NA><NA><NA>
1323000032300000452021004220210929<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 송파구 마천동 ***-*서울특별시 송파구 마천로**길 **(마천동)5757강아지 미용실2022-04-28 18:11:10I2021-12-07 00:02:00.0<NA>213278.144135443856.213106<NA><NA><NA><NA><NA>
2323000032300000452021002620210809<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-6404-01340<NA>서울특별시 송파구 송파동 **-**서울특별시 송파구 송파대로**길 **, *층 (송파동)5676송파강아지 캣독2022-06-22 18:28:56U2021-12-07 00:02:00.0<NA>209859.084472444392.281728<NA><NA><NA><NA><NA>
3323000032300000502022002520220628<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 송파구 문정동 *** 문정시영아파트서울특별시 송파구 송이로**길 **, *동 ****호 (문정동, 문정시영아파트)5786pet 69모03992022-06-28 18:18:58I2021-12-07 00:02:00.0<NA>211908.776683443163.745016<NA><NA><NA><NA><NA>
4323000032300000502022002420220628<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 송파구 거여동 *** 위례포레샤인 **단지서울특별시 송파구 위례북로*길 **, ****동 ****호 (거여동, 위례포레샤인 **단지)5776pet253거48612022-06-28 09:04:44I2021-12-07 00:02:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
5323000032300000492018006020180823<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 송파구 방이동 ***-**서울특별시 송파구 가락로**길 **, *층 ***호 (방이동)5629파우썸2022-06-28 10:56:40U2021-12-07 00:02:00.0<NA>210274.69445578.585<NA><NA><NA><NA><NA>
6323000032300000452022001420220623<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 송파구 석촌동 ***-* 서광빌딩서울특별시 송파구 백제고분로**길 **, 서광빌딩 *층 (석촌동)5689까멜리아2022-06-23 08:58:55I2021-12-07 00:02:00.0<NA>209351.755742444553.90063<NA><NA><NA><NA><NA>
7323000032300000492022002420220621<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 송파구 장지동 *** 송파파인타운*단지서울특별시 송파구 새말로**길 **, 상가동 *층 ***호 (장지동, 송파파인타운*단지)5811그루밍부스2022-06-21 09:13:54I2021-12-07 00:02:00.0<NA>211396.012883442186.909115<NA><NA><NA><NA><NA>
8323000032300000492018005120180713<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-425-52010<NA>서울특별시 송파구 잠실동 ***-* *층서울특별시 송파구 석촌호수로**길 **, *층 (잠실동)5563오드리 애견미용실2022-04-28 18:11:05I2021-12-07 00:02:00.0<NA>207197.524345445159.600088<NA><NA><NA><NA><NA>
9323000032300000452022001320220616<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 송파구 장지동 *** 위례중앙푸르지오*단지서울특별시 송파구 위례광장로 ***, *층 ***호 (장지동, 위례중앙푸르지오*단지)5852하이엔드독 강아지고양이 위례3호점2022-06-16 17:42:17I2021-12-07 00:02:00.0<NA>212421.0441426.0<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
799323000032300000372008000720081022<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>449-28500<NA>서울특별시 송파구 방이동 ***-**번지서울특별시 송파구 오금로**길 ** (방이동)5645오륜동물병원2015-07-31 14:32:03I2021-12-04 22:07:00.0<NA>210816.203512445257.516835<NA><NA><NA><NA><NA>
800323000032300000372008000820081022<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>424-36620<NA>서울특별시 송파구 송파동 **-**번지서울특별시 송파구 송파대로 *** (송파동)5676송파동물병원2020-02-26 10:35:23U2021-12-04 22:07:00.0<NA>209744.136012444378.559332<NA><NA><NA><NA><NA>
801323000032300000372008000920081022<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>412-6119<NA><NA>서울특별시 송파구 삼전동 **-*번지<NA><NA>말티와푸들이사는집2011-09-15 10:24:40I2021-12-04 22:07:00.0<NA>208088.55821444991.490733<NA><NA><NA><NA><NA>
802323000032300000372008001020081022<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>2202-00750<NA>서울특별시 송파구 잠실동 ***-**번지서울특별시 송파구 백제고분로 *** (잠실동)5568위드펫2018-06-21 09:48:15I2021-12-04 22:07:00.0<NA>207433.00597444811.921776<NA><NA><NA><NA><NA>
803323000032300000372008000620081021<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>415-75800<NA>서울특별시 송파구 삼전동 **-*번지서울특별시 송파구 석촌호수로 *** (삼전동)5600잠실준25시동물병원2019-04-09 15:41:07U2021-12-04 22:07:00.0<NA>208088.55821444991.490733<NA><NA><NA><NA><NA>
804323000032300000372008000520081021<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>420-09750<NA>서울특별시 송파구 잠실동 ***-*번지서울특별시 송파구 석촌호수로 ** (잠실동)5564신천 펫샵2019-01-30 15:07:04U2021-12-04 22:07:00.0<NA>207664.912873445106.47127<NA><NA><NA><NA><NA>
805323000032300000372008000420081021<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>408-97250<NA>서울특별시 송파구 거여동 ***-*번지서울특별시 송파구 오금로 *** (거여동)5772가람동물병원2015-07-31 14:04:48I2021-12-04 22:07:00.0<NA>212628.657325443449.116274<NA><NA><NA><NA><NA>
806323000032300000372008000320080827<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>420-92400<NA>서울특별시 송파구 방이동 ***-*번지서울특별시 송파구 가락로 *** (방이동)5628러블리펫2014-06-27 16:54:59I2021-12-04 22:07:00.0<NA>210511.385343445638.428667<NA><NA><NA><NA><NA>
807323000032300000372008000220080827<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 송파구 방이동 ***-**서울특별시 송파구 가락로 ***-* (방이동)5628펫살롱 헤아림2022-01-07 11:10:48U2021-12-04 22:07:00.0<NA>210545.418644445707.142411<NA><NA><NA><NA><NA>
808323000032300000372008000120080806<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>449-28500<NA>서울특별시 송파구 오금동 **-*번지서울특별시 송파구 양재대로 **** (오금동)5657퍼피월드2018-04-03 14:54:03I2021-12-04 22:07:00.0<NA>211257.61362445587.128032<NA><NA><NA><NA><NA>