Overview

Dataset statistics

Number of variables30
Number of observations287
Missing cells3330
Missing cells (%)38.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.3 KiB
Average record size in memory261.5 B

Variable types

Categorical9
Numeric5
Unsupported11
Text4
DateTime1

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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-16600/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 (61.0%)Imbalance
인허가취소일자 has 287 (100.0%) missing valuesMissing
휴업시작일자 has 287 (100.0%) missing valuesMissing
휴업종료일자 has 287 (100.0%) missing valuesMissing
재개업일자 has 287 (100.0%) missing valuesMissing
전화번호 has 139 (48.4%) missing valuesMissing
소재지우편번호 has 287 (100.0%) missing valuesMissing
도로명우편번호 has 18 (6.3%) missing valuesMissing
업태구분명 has 287 (100.0%) missing valuesMissing
좌표정보(X) has 8 (2.8%) missing valuesMissing
좌표정보(Y) has 8 (2.8%) missing valuesMissing
축산업무구분명 has 287 (100.0%) missing valuesMissing
축산물가공업구분명 has 287 (100.0%) missing valuesMissing
축산일련번호 has 287 (100.0%) missing valuesMissing
권리주체일련번호 has 287 (100.0%) missing valuesMissing
총인원 has 287 (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 started2024-05-17 22:38:53.024994
Analysis finished2024-05-17 22:38:54.154165
Duration1.13 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
3090000
287 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 287
100.0%

Length

2024-05-18T07:38:54.440236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:54.786520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 287
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct287
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.09 × 1017
Minimum3.09 × 1017
Maximum3.0900001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:38:55.217370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.09 × 1017
5-th percentile3.09 × 1017
Q13.09 × 1017
median3.09 × 1017
Q33.09 × 1017
95-th percentile3.0900001 × 1017
Maximum3.0900001 × 1017
Range1.30014 × 109
Interquartile range (IQR)1.2 × 109

Descriptive statistics

Standard deviation5.5050292 × 108
Coefficient of variation (CV)1.7815628 × 10-9
Kurtosis-1.8292263
Mean3.09 × 1017
Median Absolute Deviation (MAD)5.0014003 × 108
Skewness0.11858405
Sum-3.5507191 × 1018
Variance3.0305347 × 1017
MonotonicityNot monotonic
2024-05-18T07:38:55.741409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
309000004920180017 1
 
0.3%
309000004920200010 1
 
0.3%
309000003720200010 1
 
0.3%
309000003720200011 1
 
0.3%
309000003720200012 1
 
0.3%
309000003720200013 1
 
0.3%
309000003720200014 1
 
0.3%
309000003720210002 1
 
0.3%
309000003720210001 1
 
0.3%
309000003720210003 1
 
0.3%
Other values (277) 277
96.5%
ValueCountFrequency (%)
309000003720080001 1
0.3%
309000003720080002 1
0.3%
309000003720080003 1
0.3%
309000003720080004 1
0.3%
309000003720080005 1
0.3%
309000003720080006 1
0.3%
309000003720090001 1
0.3%
309000003720090002 1
0.3%
309000003720090003 1
0.3%
309000003720100001 1
0.3%
ValueCountFrequency (%)
309000005020220011 1
0.3%
309000005020220010 1
0.3%
309000005020220009 1
0.3%
309000005020220008 1
0.3%
309000005020220007 1
0.3%
309000005020220006 1
0.3%
309000005020220005 1
0.3%
309000005020220003 1
0.3%
309000005020210007 1
0.3%
309000005020210004 1
0.3%

인허가일자
Real number (ℝ)

Distinct101
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20180415
Minimum20080711
Maximum20220628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:38:56.358928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080711
5-th percentile20090324
Q120180705
median20181011
Q320200228
95-th percentile20220350
Maximum20220628
Range139917
Interquartile range (IQR)19523

Descriptive statistics

Standard deviation32340.144
Coefficient of variation (CV)0.001602551
Kurtosis2.9406724
Mean20180415
Median Absolute Deviation (MAD)9802
Skewness-1.7333503
Sum5.7917792 × 109
Variance1.0458849 × 109
MonotonicityNot monotonic
2024-05-18T07:38:56.982183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180913 10
 
3.5%
20180831 10
 
3.5%
20190627 8
 
2.8%
20180705 8
 
2.8%
20181011 8
 
2.8%
20180928 8
 
2.8%
20180905 6
 
2.1%
20200331 6
 
2.1%
20200205 6
 
2.1%
20180816 6
 
2.1%
Other values (91) 211
73.5%
ValueCountFrequency (%)
20080711 4
1.4%
20080722 2
0.7%
20081029 2
0.7%
20081117 4
1.4%
20090310 2
0.7%
20090324 2
0.7%
20090526 2
0.7%
20100128 2
0.7%
20120113 2
0.7%
20120613 2
0.7%
ValueCountFrequency (%)
20220628 1
 
0.3%
20220610 1
 
0.3%
20220603 1
 
0.3%
20220526 2
0.7%
20220504 1
 
0.3%
20220503 1
 
0.3%
20220418 2
0.7%
20220408 2
0.7%
20220407 4
1.4%
20220216 2
0.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
4
287 

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 (%)
4 287
100.0%

Length

2024-05-18T07:38:57.544603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:57.907018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 287
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
취소/말소/만료/정지/중지
287 

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 287
100.0%

Length

2024-05-18T07:38:58.195060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:58.554496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 287
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
4
287 

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 (%)
4 287
100.0%

Length

2024-05-18T07:38:58.878922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:59.148433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 287
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
말소
287 

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 287
100.0%

Length

2024-05-18T07:38:59.488890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:59.886357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말소 287
100.0%

폐업일자
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
20220701
147 
20220526
140 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20220701 147
51.2%
20220526 140
48.8%

Length

2024-05-18T07:39:00.332875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:00.732191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20220701 147
51.2%
20220526 140
48.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

전화번호
Text

MISSING 

Distinct60
Distinct (%)40.5%
Missing139
Missing (%)48.4%
Memory size2.4 KiB
2024-05-18T07:39:01.444333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.486486
Min length8

Characters and Unicode

Total characters1552
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 row029918225
2nd row02-999-5073
3rd row02-999-7582
4th row02-976-3472
5th row02-994-4000
ValueCountFrequency (%)
02-6083-1511 6
 
4.1%
02-2038-9980 6
 
4.1%
02-907-1175 4
 
2.7%
02-900-9069 4
 
2.7%
07076070291 4
 
2.7%
0264020365 4
 
2.7%
029918225 4
 
2.7%
029902783 4
 
2.7%
02-955-6530 4
 
2.7%
02-955-4445 4
 
2.7%
Other values (50) 104
70.3%
2024-05-18T07:39:02.844836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 314
20.2%
9 238
15.3%
2 216
13.9%
- 198
12.8%
5 128
8.2%
7 86
 
5.5%
4 84
 
5.4%
3 82
 
5.3%
1 80
 
5.2%
6 62
 
4.0%
Other values (2) 64
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1352
87.1%
Dash Punctuation 198
 
12.8%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 314
23.2%
9 238
17.6%
2 216
16.0%
5 128
9.5%
7 86
 
6.4%
4 84
 
6.2%
3 82
 
6.1%
1 80
 
5.9%
6 62
 
4.6%
8 62
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 314
20.2%
9 238
15.3%
2 216
13.9%
- 198
12.8%
5 128
8.2%
7 86
 
5.5%
4 84
 
5.4%
3 82
 
5.3%
1 80
 
5.2%
6 62
 
4.0%
Other values (2) 64
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 314
20.2%
9 238
15.3%
2 216
13.9%
- 198
12.8%
5 128
8.2%
7 86
 
5.5%
4 84
 
5.4%
3 82
 
5.3%
1 80
 
5.2%
6 62
 
4.0%
Other values (2) 64
 
4.1%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
0
265 
<NA>
 
22

Length

Max length4
Median length1
Mean length1.2299652
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 265
92.3%
<NA> 22
 
7.7%

Length

2024-05-18T07:39:03.422258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:03.866194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 265
92.3%
na 22
 
7.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

지번주소
Text

Distinct115
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-18T07:39:04.396020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length23.623693
Min length13

Characters and Unicode

Total characters6780
Distinct characters100
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)20.2%

Sample

1st row서울특별시 도봉구 쌍문동 ***-*
2nd row서울특별시 도봉구 창동 ***-**
3rd row서울특별시 도봉구 창동 *** 쌍용아파트
4th row서울특별시 도봉구 창동 ***-*
5th row서울특별시 도봉구 쌍문동 ***-** *층
ValueCountFrequency (%)
서울특별시 287
20.7%
도봉구 287
20.7%
203
14.7%
창동 96
 
6.9%
번지 86
 
6.2%
쌍문동 79
 
5.7%
호 64
 
4.6%
방학동 63
 
4.5%
도봉동 53
 
3.8%
층 44
 
3.2%
Other values (43) 123
8.9%
2024-05-18T07:39:05.969299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1517
22.4%
1105
16.3%
도 350
 
5.2%
봉 350
 
5.2%
동 322
 
4.7%
별 291
 
4.3%
시 289
 
4.3%
서 287
 
4.2%
특 287
 
4.2%
구 287
 
4.2%
Other values (90) 1695
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3904
57.6%
Other Punctuation 1517
 
22.4%
Space Separator 1105
 
16.3%
Dash Punctuation 244
 
3.6%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 350
 
9.0%
봉 350
 
9.0%
동 322
 
8.2%
별 291
 
7.5%
시 289
 
7.4%
서 287
 
7.4%
특 287
 
7.4%
구 287
 
7.4%
울 287
 
7.4%
지 100
 
2.6%
Other values (84) 1054
27.0%
Uppercase Letter
ValueCountFrequency (%)
R 4
40.0%
S 4
40.0%
B 2
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1517
100.0%
Space Separator
ValueCountFrequency (%)
1105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3904
57.6%
Common 2866
42.3%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 350
 
9.0%
봉 350
 
9.0%
동 322
 
8.2%
별 291
 
7.5%
시 289
 
7.4%
서 287
 
7.4%
특 287
 
7.4%
구 287
 
7.4%
울 287
 
7.4%
지 100
 
2.6%
Other values (84) 1054
27.0%
Common
ValueCountFrequency (%)
* 1517
52.9%
1105
38.6%
- 244
 
8.5%
Latin
ValueCountFrequency (%)
R 4
40.0%
S 4
40.0%
B 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3904
57.6%
ASCII 2876
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1517
52.7%
1105
38.4%
- 244
 
8.5%
R 4
 
0.1%
S 4
 
0.1%
B 2
 
0.1%
Hangul
ValueCountFrequency (%)
도 350
 
9.0%
봉 350
 
9.0%
동 322
 
8.2%
별 291
 
7.5%
시 289
 
7.4%
서 287
 
7.4%
특 287
 
7.4%
구 287
 
7.4%
울 287
 
7.4%
지 100
 
2.6%
Other values (84) 1054
27.0%

도로명주소
Text

Distinct110
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-18T07:39:06.742105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length43
Mean length31.365854
Min length22

Characters and Unicode

Total characters9002
Distinct characters119
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 (%)2.1%

Sample

1st row서울특별시 도봉구 도봉로***길 **(쌍문동)
2nd row서울특별시 도봉구 마들로 ***, *층 (창동)
3rd row서울특별시 도봉구 마들로 ***, ***동 ***호 (창동, 쌍용아파트)
4th row서울특별시 도봉구 덕릉로**길 ** (창동)
5th row서울특별시 도봉구 우이천로 ***, *층 (쌍문동)
ValueCountFrequency (%)
서울특별시 287
15.6%
도봉구 287
15.6%
284
15.5%
층 138
 
7.5%
호 100
 
5.4%
창동 96
 
5.2%
쌍문동 77
 
4.2%
방학동 63
 
3.4%
도봉동 55
 
3.0%
도봉로 52
 
2.8%
Other values (74) 396
21.6%
2024-05-18T07:39:07.947281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1568
17.4%
1548
17.2%
도 462
 
5.1%
봉 456
 
5.1%
동 347
 
3.9%
시 300
 
3.3%
별 291
 
3.2%
( 289
 
3.2%
) 289
 
3.2%
서 287
 
3.2%
Other values (109) 3165
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5006
55.6%
Other Punctuation 1831
 
20.3%
Space Separator 1548
 
17.2%
Open Punctuation 289
 
3.2%
Close Punctuation 289
 
3.2%
Dash Punctuation 27
 
0.3%
Uppercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 462
 
9.2%
봉 456
 
9.1%
동 347
 
6.9%
시 300
 
6.0%
별 291
 
5.8%
서 287
 
5.7%
특 287
 
5.7%
구 287
 
5.7%
울 287
 
5.7%
로 287
 
5.7%
Other values (99) 1715
34.3%
Uppercase Letter
ValueCountFrequency (%)
R 4
33.3%
S 4
33.3%
B 2
16.7%
A 2
16.7%
Other Punctuation
ValueCountFrequency (%)
* 1568
85.6%
, 263
 
14.4%
Space Separator
ValueCountFrequency (%)
1548
100.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5006
55.6%
Common 3984
44.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 462
 
9.2%
봉 456
 
9.1%
동 347
 
6.9%
시 300
 
6.0%
별 291
 
5.8%
서 287
 
5.7%
특 287
 
5.7%
구 287
 
5.7%
울 287
 
5.7%
로 287
 
5.7%
Other values (99) 1715
34.3%
Common
ValueCountFrequency (%)
* 1568
39.4%
1548
38.9%
( 289
 
7.3%
) 289
 
7.3%
, 263
 
6.6%
- 27
 
0.7%
Latin
ValueCountFrequency (%)
R 4
33.3%
S 4
33.3%
B 2
16.7%
A 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5006
55.6%
ASCII 3996
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1568
39.2%
1548
38.7%
( 289
 
7.2%
) 289
 
7.2%
, 263
 
6.6%
- 27
 
0.7%
R 4
 
0.1%
S 4
 
0.1%
B 2
 
0.1%
A 2
 
0.1%
Hangul
ValueCountFrequency (%)
도 462
 
9.2%
봉 456
 
9.1%
동 347
 
6.9%
시 300
 
6.0%
별 291
 
5.8%
서 287
 
5.7%
특 287
 
5.7%
구 287
 
5.7%
울 287
 
5.7%
로 287
 
5.7%
Other values (99) 1715
34.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)29.0%
Missing18
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean1393.8848
Minimum1304
Maximum1488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:39:08.532211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1304
5-th percentile1309
Q11344
median1397
Q31447
95-th percentile1476
Maximum1488
Range184
Interquartile range (IQR)103

Descriptive statistics

Standard deviation55.762805
Coefficient of variation (CV)0.040005319
Kurtosis-1.2972453
Mean1393.8848
Median Absolute Deviation (MAD)52
Skewness-0.031651523
Sum374955
Variance3109.4904
MonotonicityNot monotonic
2024-05-18T07:39:09.160101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1452 16
 
5.6%
1405 12
 
4.2%
1332 10
 
3.5%
1473 8
 
2.8%
1309 8
 
2.8%
1307 8
 
2.8%
1349 8
 
2.8%
1321 8
 
2.8%
1429 6
 
2.1%
1457 6
 
2.1%
Other values (68) 179
62.4%
(Missing) 18
 
6.3%
ValueCountFrequency (%)
1304 2
 
0.7%
1305 1
 
0.3%
1307 8
2.8%
1308 2
 
0.7%
1309 8
2.8%
1310 2
 
0.7%
1311 2
 
0.7%
1313 2
 
0.7%
1320 2
 
0.7%
1321 8
2.8%
ValueCountFrequency (%)
1488 2
 
0.7%
1487 1
 
0.3%
1484 2
 
0.7%
1481 2
 
0.7%
1479 6
2.1%
1476 6
2.1%
1474 2
 
0.7%
1473 8
2.8%
1471 2
 
0.7%
1469 2
 
0.7%

사업장명
Text

Distinct110
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-05-18T07:39:10.039435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length6.8745645
Min length3

Characters and Unicode

Total characters1973
Distinct characters256
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

Unique5 ?
Unique (%)1.7%

Sample

1st row애견놀이터
2nd row블루핀동물병원
3rd row펫택시
4th row강아지풀
5th row고놈들
ValueCountFrequency (%)
고놈들 8
 
2.3%
행복한 6
 
1.7%
에스(s)펫 6
 
1.7%
몽블리펫 6
 
1.7%
그루머웅 6
 
1.7%
하비동물병원 6
 
1.7%
사랑해줄개 6
 
1.7%
애견샵 6
 
1.7%
동물병원with 4
 
1.1%
애견놀이터 4
 
1.1%
Other values (126) 296
83.6%
2024-05-18T07:39:11.434968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 70
 
3.5%
67
 
3.4%
물 64
 
3.2%
원 58
 
2.9%
병 58
 
2.9%
이 50
 
2.5%
펫 49
 
2.5%
( 45
 
2.3%
) 45
 
2.3%
개 32
 
1.6%
Other values (246) 1435
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1506
76.3%
Lowercase Letter 127
 
6.4%
Uppercase Letter 122
 
6.2%
Space Separator 67
 
3.4%
Decimal Number 53
 
2.7%
Open Punctuation 45
 
2.3%
Close Punctuation 45
 
2.3%
Other Punctuation 6
 
0.3%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
 
4.6%
물 64
 
4.2%
원 58
 
3.9%
병 58
 
3.9%
이 50
 
3.3%
펫 49
 
3.3%
개 32
 
2.1%
아 32
 
2.1%
리 32
 
2.1%
도 27
 
1.8%
Other values (190) 1034
68.7%
Uppercase Letter
ValueCountFrequency (%)
P 18
14.8%
I 14
 
11.5%
T 10
 
8.2%
E 6
 
4.9%
B 6
 
4.9%
N 6
 
4.9%
A 6
 
4.9%
W 6
 
4.9%
H 6
 
4.9%
S 6
 
4.9%
Other values (12) 38
31.1%
Lowercase Letter
ValueCountFrequency (%)
e 24
18.9%
p 14
11.0%
o 12
9.4%
t 10
 
7.9%
m 10
 
7.9%
r 8
 
6.3%
a 7
 
5.5%
w 6
 
4.7%
d 6
 
4.7%
s 5
 
3.9%
Other values (8) 25
19.7%
Decimal Number
ValueCountFrequency (%)
3 12
22.6%
2 9
17.0%
4 7
13.2%
9 6
11.3%
5 6
11.3%
7 4
 
7.5%
6 4
 
7.5%
0 3
 
5.7%
8 2
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 2
33.3%
; 2
33.3%
& 2
33.3%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1506
76.3%
Latin 249
 
12.6%
Common 218
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
 
4.6%
물 64
 
4.2%
원 58
 
3.9%
병 58
 
3.9%
이 50
 
3.3%
펫 49
 
3.3%
개 32
 
2.1%
아 32
 
2.1%
리 32
 
2.1%
도 27
 
1.8%
Other values (190) 1034
68.7%
Latin
ValueCountFrequency (%)
e 24
 
9.6%
P 18
 
7.2%
p 14
 
5.6%
I 14
 
5.6%
o 12
 
4.8%
T 10
 
4.0%
t 10
 
4.0%
m 10
 
4.0%
r 8
 
3.2%
a 7
 
2.8%
Other values (30) 122
49.0%
Common
ValueCountFrequency (%)
67
30.7%
( 45
20.6%
) 45
20.6%
3 12
 
5.5%
2 9
 
4.1%
4 7
 
3.2%
9 6
 
2.8%
5 6
 
2.8%
7 4
 
1.8%
6 4
 
1.8%
Other values (6) 13
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1506
76.3%
ASCII 467
 
23.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 70
 
4.6%
물 64
 
4.2%
원 58
 
3.9%
병 58
 
3.9%
이 50
 
3.3%
펫 49
 
3.3%
개 32
 
2.1%
아 32
 
2.1%
리 32
 
2.1%
도 27
 
1.8%
Other values (190) 1034
68.7%
ASCII
ValueCountFrequency (%)
67
 
14.3%
( 45
 
9.6%
) 45
 
9.6%
e 24
 
5.1%
P 18
 
3.9%
p 14
 
3.0%
I 14
 
3.0%
3 12
 
2.6%
o 12
 
2.6%
T 10
 
2.1%
Other values (46) 206
44.1%

최종수정일자
Date

Distinct154
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2012-01-13 16:04:18
Maximum2022-06-28 13:29:30
2024-05-18T07:39:12.048131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:39:12.650318image/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
63 

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 224
78.0%
U 63
 
22.0%

Length

2024-05-18T07:39:13.457496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:13.784235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 224
78.0%
u 63
 
22.0%

데이터갱신일자
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2021-12-07 00:02:00.0
147 
2021-12-04 22:07:00.0
140 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-07 00:02:00.0
2nd row2021-12-07 00:02:00.0
3rd row2021-12-07 00:02:00.0
4th row2021-12-07 00:02:00.0
5th row2021-12-07 00:02:00.0

Common Values

ValueCountFrequency (%)
2021-12-07 00:02:00.0 147
51.2%
2021-12-04 22:07:00.0 140
48.8%

Length

2024-05-18T07:39:14.170917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:39:14.472401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-07 147
25.6%
00:02:00.0 147
25.6%
2021-12-04 140
24.4%
22:07:00.0 140
24.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)35.8%
Missing8
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean203355.43
Minimum201180.32
Maximum204365.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:39:14.911504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201180.32
5-th percentile202297.82
Q1202939.22
median203463.23
Q3203831.24
95-th percentile204151.71
Maximum204365.04
Range3184.7209
Interquartile range (IQR)892.02185

Descriptive statistics

Standard deviation619.20475
Coefficient of variation (CV)0.0030449384
Kurtosis0.25184589
Mean203355.43
Median Absolute Deviation (MAD)443.36917
Skewness-0.73466038
Sum56736164
Variance383414.52
MonotonicityNot monotonic
2024-05-18T07:39:15.560987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202629.214506495 12
 
4.2%
203920.444016775 8
 
2.8%
204077.325138598 8
 
2.8%
203798.580602863 8
 
2.8%
203868.297541736 6
 
2.1%
202422.313606872 6
 
2.1%
203528.725008491 6
 
2.1%
203650.285549653 6
 
2.1%
204036.76220241 6
 
2.1%
203463.231373928 6
 
2.1%
Other values (90) 207
72.1%
(Missing) 8
 
2.8%
ValueCountFrequency (%)
201180.316997451 2
 
0.7%
201501.945534806 2
 
0.7%
201969.280159156 2
 
0.7%
202162.777589516 2
 
0.7%
202284.806067866 3
1.0%
202297.819991688 4
1.4%
202350.519137605 1
 
0.3%
202358.777269487 2
 
0.7%
202376.452513796 2
 
0.7%
202422.313606872 6
2.1%
ValueCountFrequency (%)
204365.037901995 2
0.7%
204345.826664906 2
0.7%
204335.318536601 2
0.7%
204214.210632572 2
0.7%
204192.915094501 4
1.4%
204169.765708943 1
 
0.3%
204151.714134247 2
0.7%
204129.246855092 2
0.7%
204120.986290612 2
0.7%
204107.090272108 2
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct100
Distinct (%)35.8%
Missing8
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean461688.96
Minimum459105.77
Maximum464474.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-05-18T07:39:16.033123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum459105.77
5-th percentile459548.19
Q1460623.46
median461653.03
Q3462745.12
95-th percentile464083.58
Maximum464474.91
Range5369.1394
Interquartile range (IQR)2121.6557

Descriptive statistics

Standard deviation1354.5008
Coefficient of variation (CV)0.0029337951
Kurtosis-0.83839915
Mean461688.96
Median Absolute Deviation (MAD)1054.3767
Skewness0.093846609
Sum1.2881122 × 108
Variance1834672.5
MonotonicityNot monotonic
2024-05-18T07:39:16.630583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460141.625292543 12
 
4.2%
462830.484935873 8
 
2.8%
464195.00874227 8
 
2.8%
463442.465123012 8
 
2.8%
463890.837689363 6
 
2.1%
461665.385672458 6
 
2.1%
463179.690264357 6
 
2.1%
459197.330541582 6
 
2.1%
461074.834638229 6
 
2.1%
461610.580496224 6
 
2.1%
Other values (90) 207
72.1%
(Missing) 8
 
2.8%
ValueCountFrequency (%)
459105.770645332 2
 
0.7%
459197.330541582 6
2.1%
459445.651184746 2
 
0.7%
459467.613847618 2
 
0.7%
459545.804647458 2
 
0.7%
459548.4538658 2
 
0.7%
459580.311666323 4
1.4%
459594.531726027 2
 
0.7%
459633.212268318 2
 
0.7%
459759.109333723 2
 
0.7%
ValueCountFrequency (%)
464474.910004698 2
 
0.7%
464460.396523556 2
 
0.7%
464385.89800333 1
 
0.3%
464195.00874227 8
2.8%
464083.577442621 2
 
0.7%
463890.837689363 6
2.1%
463819.207608181 2
 
0.7%
463621.090034536 2
 
0.7%
463608.395200805 2
 
0.7%
463442.465123012 8
2.8%

축산업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

권리주체일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing287
Missing (%)100.0%
Memory size2.7 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0309000030900000492018001720180816<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>0299182250<NA>서울특별시 도봉구 쌍문동 ***-*서울특별시 도봉구 도봉로***길 **(쌍문동)1446애견놀이터2022-05-17 09:56:32U2021-12-07 00:02:00.0<NA>202478.179107460631.967994<NA><NA><NA><NA><NA>
1309000030900000492020001020200731<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 ***-**서울특별시 도봉구 마들로 ***, *층 (창동)1408블루핀동물병원2022-04-28 18:10:51I2021-12-07 00:02:00.0<NA>204335.318537462000.584331<NA><NA><NA><NA><NA>
2309000030900000502022001020220603<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 도봉구 창동 *** 쌍용아파트서울특별시 도봉구 마들로 ***, ***동 ***호 (창동, 쌍용아파트)1410펫택시2022-06-20 16:34:44U2021-12-07 00:02:00.0<NA>204169.765709461930.191336<NA><NA><NA><NA><NA>
3309000030900000482019000920190513<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-999-50730<NA>서울특별시 도봉구 창동 ***-*서울특별시 도봉구 덕릉로**길 ** (창동)1476강아지풀2022-04-28 18:10:50I2021-12-07 00:02:00.0<NA>203482.660019459580.311666<NA><NA><NA><NA><NA>
4309000030900000452018005220181122<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 도봉구 쌍문동 ***-** *층서울특별시 도봉구 우이천로 ***, *층 (쌍문동)1452고놈들2022-04-28 18:10:50I2021-12-07 00:02:00.0<NA>202629.214506460141.625293<NA><NA><NA><NA><NA>
5309000030900000372018001320180705<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-999-75820<NA>서울특별시 도봉구 창동 ***-** *층서울특별시 도봉구 도봉로 ***, *층 (창동)1401강북우리동물의료센터2022-03-30 13:17:43U2021-12-04 22:07:00.0<NA>203463.231374461610.580496<NA><NA><NA><NA><NA>
6309000030900000482022000220220628<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 도봉구 방학동 ***서울특별시 도봉구 방학로 ***, *층 (방학동)1390삼멍(sammung)2022-06-28 13:29:30I2021-12-07 00:02:00.0<NA>203551.06713462246.912029<NA><NA><NA><NA><NA>
7309000030900000502022001120220610<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 도봉구 쌍문동 *** 쌍문극동아파트서울특별시 도봉구 노해로**길 **, ***동 ***호 (쌍문동, 쌍문극동아파트)1380멍타냥 도봉2022-06-10 16:20:53I2021-12-07 00:02:00.0<NA>202350.519138461006.732042<NA><NA><NA><NA><NA>
8309000030900000482022000120220526<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 도봉구 쌍문동 ***-*서울특별시 도봉구 해등로**길 *, ***,***호 (쌍문동)1387아이조은동물병원2022-05-26 17:41:12I2021-12-07 00:02:00.0<NA>202807.230908461791.71963<NA><NA><NA><NA><NA>
9309000030900000492022000320220526<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 도봉구 쌍문동 ***-*서울특별시 도봉구 해등로**길 *, ***,***호 (쌍문동)1387아이조은동물병원2022-05-26 17:42:01I2021-12-07 00:02:00.0<NA>202807.230908461791.71963<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
277309000030900000372010000120100128<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-955-0015<NA><NA>서울특별시 도봉구 방학동 ***-**번지서울특별시 도봉구 도당로**길 ** (방학동)<NA>퍼피랜드2012-05-21 14:46:13I2021-12-04 22:07:00.0<NA>202959.429513462697.527803<NA><NA><NA><NA><NA>
278309000030900000372009000320090526<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-900-6007<NA><NA>서울특별시 도봉구 창동 ***-** 번지 *층서울특별시 도봉구 우이천로*길 ** *층 (창동)<NA>똥강아지2012-01-13 16:39:42I2021-12-04 22:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
279309000030900000372009000220090324<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-991-8225<NA><NA>서울특별시 도봉구 쌍문동 ***-*번지 주신빌딩 ***호서울특별시 도봉구 노해로 *** ***호 (쌍문동, 주신빌딩)<NA>개판5분전2013-12-30 11:30:37I2021-12-04 22:07:00.0<NA>202358.777269460746.414678<NA><NA><NA><NA><NA>
280309000030900000372009000120090310<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-6083-1511<NA><NA>서울특별시 도봉구 도봉동 ***-** 번지서울특별시 도봉구 도봉로***나길 ** (도봉동)<NA>아베크펫2012-01-13 16:21:37I2021-12-04 22:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
281309000030900000372008000620081117<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-6083-1511<NA><NA>서울특별시 도봉구 도봉동 ***-** 번지서울특별시 도봉구 도봉로***나길 ** (도봉동)<NA>영구와 땡칠이2012-01-13 16:10:37I2021-12-04 22:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
282309000030900000372008000520081117<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-991-7008<NA><NA>서울특별시 도봉구 쌍문동 ***-* 번지서울특별시 도봉구 해등로 ***-** (방학동)<NA>행복한 강아지2012-01-13 16:04:18I2021-12-04 22:07:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
283309000030900000372008000420081029<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-996-33930<NA>서울특별시 도봉구 쌍문동 **-*번지서울특별시 도봉구 방학로*길 *** (쌍문동)1394프리티 퍼피샵2017-04-07 15:06:36I2021-12-04 22:07:00.0<NA>203301.562818461721.062561<NA><NA><NA><NA><NA>
284309000030900000372008000320080722<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-955-0184<NA><NA>서울특별시 도봉구 방학동 ***번지 삼인빌딩 *층서울특별시 도봉구 방학로 *** *층 (방학동, 삼인빌딩)<NA>똥깡아지 애견센타2012-03-02 13:45:13I2021-12-04 22:07:00.0<NA>203015.342809462213.421376<NA><NA><NA><NA><NA>
285309000030900000372008000120080711<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-3493-7514<NA><NA>서울특별시 도봉구 방학동 ***-*번지서울특별시 도봉구 마들로 ***, *층 (방학동)1332쿨펫동물병원2019-06-26 16:28:13U2021-12-04 22:07:00.0<NA>203920.444017462830.484936<NA><NA><NA><NA><NA>
286309000030900000372008000220080711<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-955-6530<NA><NA>서울특별시 도봉구 방학동 ***-*번지 홈에버 *층서울특별시 도봉구 도봉로 *** *층 (도봉동, 홈에버)<NA>쿨펫동물병원(홈에버)2017-07-11 17:59:13I2021-12-04 22:07:00.0<NA>203790.013569462495.417041<NA><NA><NA><NA><NA>