Overview

Dataset statistics

Number of variables30
Number of observations254
Missing cells2889
Missing cells (%)37.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.9 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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16593/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (96.3%)Imbalance
영업상태명 is highly imbalanced (96.3%)Imbalance
상세영업상태코드 is highly imbalanced (96.3%)Imbalance
상세영업상태명 is highly imbalanced (96.3%)Imbalance
소재지면적 is highly imbalanced (54.9%)Imbalance
인허가취소일자 has 254 (100.0%) missing valuesMissing
휴업시작일자 has 254 (100.0%) missing valuesMissing
휴업종료일자 has 254 (100.0%) missing valuesMissing
재개업일자 has 254 (100.0%) missing valuesMissing
전화번호 has 57 (22.4%) missing valuesMissing
소재지우편번호 has 254 (100.0%) missing valuesMissing
도로명주소 has 10 (3.9%) missing valuesMissing
도로명우편번호 has 28 (11.0%) missing valuesMissing
업태구분명 has 254 (100.0%) missing valuesMissing
축산업무구분명 has 254 (100.0%) missing valuesMissing
축산물가공업구분명 has 254 (100.0%) missing valuesMissing
축산일련번호 has 254 (100.0%) missing valuesMissing
권리주체일련번호 has 254 (100.0%) missing valuesMissing
총인원 has 254 (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 05:38:02.542194
Analysis finished2024-05-11 05:38:03.260169
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3020000
254 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 254
100.0%

Length

2024-05-11T14:38:03.351996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:03.476186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 254
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct254
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.02 × 1017
Minimum3.02 × 1017
Maximum3.0200001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T14:38:03.621276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.02 × 1017
5-th percentile3.02 × 1017
Q13.02 × 1017
median3.02 × 1017
Q33.02 × 1017
95-th percentile3.02 × 1017
Maximum3.0200001 × 1017
Range1.30014 × 109
Interquartile range (IQR)1.10004 × 109

Descriptive statistics

Standard deviation5.5366606 × 108
Coefficient of variation (CV)1.8333313 × 10-9
Kurtosis-1.8674183
Mean3.02 × 1017
Median Absolute Deviation (MAD)5.0012499 × 108
Skewness0.090787831
Sum2.9210248 × 1018
Variance3.065461 × 1017
MonotonicityNot monotonic
2024-05-11T14:38:03.916790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
302000004920210002 1
 
0.4%
302000003720200005 1
 
0.4%
302000003720210005 1
 
0.4%
302000003720210004 1
 
0.4%
302000003720210003 1
 
0.4%
302000003720210002 1
 
0.4%
302000003720210001 1
 
0.4%
302000003720200013 1
 
0.4%
302000003720200012 1
 
0.4%
302000003720200010 1
 
0.4%
Other values (244) 244
96.1%
ValueCountFrequency (%)
302000003720080001 1
0.4%
302000003720080002 1
0.4%
302000003720080003 1
0.4%
302000003720090001 1
0.4%
302000003720090002 1
0.4%
302000003720090003 1
0.4%
302000003720090004 1
0.4%
302000003720090005 1
0.4%
302000003720090006 1
0.4%
302000003720100001 1
0.4%
ValueCountFrequency (%)
302000005020220002 1
0.4%
302000005020220001 1
0.4%
302000005020210004 1
0.4%
302000005020210003 1
0.4%
302000005020200012 1
0.4%
302000005020200009 1
0.4%
302000005020200008 1
0.4%
302000005020200001 1
0.4%
302000005020190009 1
0.4%
302000005020190003 1
0.4%

인허가일자
Real number (ℝ)

Distinct83
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20173475
Minimum20081008
Maximum20220628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T14:38:04.221725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20081008
5-th percentile20090730
Q120173024
median20180914
Q320200205
95-th percentile20214334
Maximum20220628
Range139620
Interquartile range (IQR)27181.5

Descriptive statistics

Standard deviation37122.322
Coefficient of variation (CV)0.001840155
Kurtosis0.3308312
Mean20173475
Median Absolute Deviation (MAD)19214
Skewness-1.1469211
Sum5.1240627 × 109
Variance1.3780668 × 109
MonotonicityNot monotonic
2024-05-11T14:38:04.491041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180914 32
 
12.6%
20180906 24
 
9.4%
20180921 12
 
4.7%
20200410 6
 
2.4%
20210412 6
 
2.4%
20200824 4
 
1.6%
20190404 4
 
1.6%
20190327 4
 
1.6%
20211008 4
 
1.6%
20181026 4
 
1.6%
Other values (73) 154
60.6%
ValueCountFrequency (%)
20081008 4
1.6%
20081113 2
0.8%
20090109 2
0.8%
20090406 2
0.8%
20090518 2
0.8%
20090730 2
0.8%
20090806 2
0.8%
20090827 2
0.8%
20100118 2
0.8%
20100302 2
0.8%
ValueCountFrequency (%)
20220628 1
 
0.4%
20220622 1
 
0.4%
20220610 1
 
0.4%
20220526 1
 
0.4%
20220429 1
 
0.4%
20220302 2
0.8%
20220106 4
1.6%
20220103 2
0.8%
20211228 2
0.8%
20211103 4
1.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
4
253 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
4 253
99.6%
1 1
 
0.4%

Length

2024-05-11T14:38:04.731827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:04.896742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 253
99.6%
1 1
 
0.4%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
취소/말소/만료/정지/중지
253 
영업/정상
 
1

Length

Max length14
Median length14
Mean length13.964567
Min length5

Unique

Unique1 ?
Unique (%)0.4%

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 253
99.6%
영업/정상 1
 
0.4%

Length

2024-05-11T14:38:05.025650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:05.160313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 253
99.6%
영업/정상 1
 
0.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
4
253 
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
4 253
99.6%
0 1
 
0.4%

Length

2024-05-11T14:38:05.286714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:05.413453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 253
99.6%
0 1
 
0.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
말소
253 
정상
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
말소 253
99.6%
정상 1
 
0.4%

Length

2024-05-11T14:38:05.535517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:05.644166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말소 253
99.6%
정상 1
 
0.4%

폐업일자
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
20220701
130 
20220526
123 
<NA>
 
1

Length

Max length8
Median length8
Mean length7.984252
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
20220701 130
51.2%
20220526 123
48.4%
<NA> 1
 
0.4%

Length

2024-05-11T14:38:05.768457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:05.889581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20220701 130
51.2%
20220526 123
48.4%
na 1
 
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

전화번호
Text

MISSING 

Distinct68
Distinct (%)34.5%
Missing57
Missing (%)22.4%
Memory size2.1 KiB
2024-05-11T14:38:06.152102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.598985
Min length7

Characters and Unicode

Total characters2088
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 row02-6487-8716
2nd row02-704-9887
3rd row02-704-9887
4th row02-6014-4242
5th row02-6014-4242
ValueCountFrequency (%)
02-1670-1612 6
 
3.0%
02-749-9519 6
 
3.0%
02-749-9990 4
 
2.0%
02-797-6677 4
 
2.0%
02-793-0075 4
 
2.0%
02-749-7588 4
 
2.0%
02-707-2235 4
 
2.0%
02-794-1255 4
 
2.0%
02-778-7582 4
 
2.0%
02-797-4410 4
 
2.0%
Other values (58) 153
77.7%
2024-05-11T14:38:06.618016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 344
16.5%
0 318
15.2%
7 303
14.5%
2 299
14.3%
9 182
8.7%
1 152
7.3%
5 135
 
6.5%
4 119
 
5.7%
6 90
 
4.3%
8 90
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1744
83.5%
Dash Punctuation 344
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 318
18.2%
7 303
17.4%
2 299
17.1%
9 182
10.4%
1 152
8.7%
5 135
7.7%
4 119
 
6.8%
6 90
 
5.2%
8 90
 
5.2%
3 56
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 344
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2088
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 344
16.5%
0 318
15.2%
7 303
14.5%
2 299
14.3%
9 182
8.7%
1 152
7.3%
5 135
 
6.5%
4 119
 
5.7%
6 90
 
4.3%
8 90
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2088
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 344
16.5%
0 318
15.2%
7 303
14.5%
2 299
14.3%
9 182
8.7%
1 152
7.3%
5 135
 
6.5%
4 119
 
5.7%
6 90
 
4.3%
8 90
 
4.3%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
0
230 
<NA>
24 

Length

Max length4
Median length1
Mean length1.2834646
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 230
90.6%
<NA> 24
 
9.4%

Length

2024-05-11T14:38:06.781654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:06.899510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 230
90.6%
na 24
 
9.4%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

지번주소
Text

Distinct151
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T14:38:07.180136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length26.653543
Min length18

Characters and Unicode

Total characters6770
Distinct characters109
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

Unique92 ?
Unique (%)36.2%

Sample

1st row서울특별시 용산구 후암동 ***-**
2nd row서울특별시 용산구 용산동*가 **-* ***호
3rd row서울특별시 용산구 이태원동 **-** *층
4th row서울특별시 용산구 용문동 *-** ***호
5th row서울특별시 용산구 한남동 *** 한남아이파크 ***호
ValueCountFrequency (%)
서울특별시 254
19.0%
용산구 254
19.0%
175
13.1%
번지 81
 
6.0%
층 78
 
5.8%
이태원동 60
 
4.5%
호 51
 
3.8%
한남동 38
 
2.8%
한강로*가 28
 
2.1%
이촌동 26
 
1.9%
Other values (59) 294
22.0%
2024-05-11T14:38:07.590551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1508
22.3%
1085
16.0%
산 297
 
4.4%
용 295
 
4.4%
시 262
 
3.9%
서 254
 
3.8%
특 254
 
3.8%
별 254
 
3.8%
구 254
 
3.8%
울 254
 
3.8%
Other values (99) 2053
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3882
57.3%
Other Punctuation 1524
 
22.5%
Space Separator 1085
 
16.0%
Dash Punctuation 231
 
3.4%
Uppercase Letter 24
 
0.4%
Open Punctuation 12
 
0.2%
Close Punctuation 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 297
 
7.7%
용 295
 
7.6%
시 262
 
6.7%
서 254
 
6.5%
특 254
 
6.5%
별 254
 
6.5%
구 254
 
6.5%
울 254
 
6.5%
동 241
 
6.2%
지 131
 
3.4%
Other values (89) 1386
35.7%
Uppercase Letter
ValueCountFrequency (%)
B 14
58.3%
A 6
25.0%
S 2
 
8.3%
C 2
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 1508
99.0%
, 16
 
1.0%
Space Separator
ValueCountFrequency (%)
1085
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3882
57.3%
Common 2864
42.3%
Latin 24
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 297
 
7.7%
용 295
 
7.6%
시 262
 
6.7%
서 254
 
6.5%
특 254
 
6.5%
별 254
 
6.5%
구 254
 
6.5%
울 254
 
6.5%
동 241
 
6.2%
지 131
 
3.4%
Other values (89) 1386
35.7%
Common
ValueCountFrequency (%)
* 1508
52.7%
1085
37.9%
- 231
 
8.1%
, 16
 
0.6%
( 12
 
0.4%
) 12
 
0.4%
Latin
ValueCountFrequency (%)
B 14
58.3%
A 6
25.0%
S 2
 
8.3%
C 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3882
57.3%
ASCII 2888
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1508
52.2%
1085
37.6%
- 231
 
8.0%
, 16
 
0.6%
B 14
 
0.5%
( 12
 
0.4%
) 12
 
0.4%
A 6
 
0.2%
S 2
 
0.1%
C 2
 
0.1%
Hangul
ValueCountFrequency (%)
산 297
 
7.7%
용 295
 
7.6%
시 262
 
6.7%
서 254
 
6.5%
특 254
 
6.5%
별 254
 
6.5%
구 254
 
6.5%
울 254
 
6.5%
동 241
 
6.2%
지 131
 
3.4%
Other values (89) 1386
35.7%

도로명주소
Text

MISSING 

Distinct94
Distinct (%)38.5%
Missing10
Missing (%)3.9%
Memory size2.1 KiB
2024-05-11T14:38:07.879165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length32.692623
Min length22

Characters and Unicode

Total characters7977
Distinct characters126
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

Unique8 ?
Unique (%)3.3%

Sample

1st row서울특별시 용산구 후암로**길 ** (후암동)
2nd row서울특별시 용산구 신흥로 **-*, ***호 (용산동*가)
3rd row서울특별시 용산구 녹사평대로**길 **, *층 (이태원동)
4th row서울특별시 용산구 효창원로**길 **, ***호 (용문동)
5th row서울특별시 용산구 독서당로 **, *층 ***호 (한남동, 한남아이파크)
ValueCountFrequency (%)
서울특별시 244
15.8%
용산구 244
15.8%
242
15.7%
층 85
 
5.5%
이태원동 58
 
3.8%
호 53
 
3.4%
한남동 38
 
2.5%
이촌동 26
 
1.7%
동 22
 
1.4%
지하*층 22
 
1.4%
Other values (94) 506
32.9%
2024-05-11T14:38:08.394308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1296
 
16.2%
* 1249
 
15.7%
로 289
 
3.6%
산 285
 
3.6%
용 283
 
3.5%
서 269
 
3.4%
, 253
 
3.2%
( 252
 
3.2%
시 252
 
3.2%
) 252
 
3.2%
Other values (116) 3297
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4597
57.6%
Other Punctuation 1502
 
18.8%
Space Separator 1296
 
16.2%
Open Punctuation 252
 
3.2%
Close Punctuation 252
 
3.2%
Dash Punctuation 54
 
0.7%
Uppercase Letter 24
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 289
 
6.3%
산 285
 
6.2%
용 283
 
6.2%
서 269
 
5.9%
시 252
 
5.5%
특 244
 
5.3%
별 244
 
5.3%
구 244
 
5.3%
울 244
 
5.3%
동 235
 
5.1%
Other values (106) 2008
43.7%
Uppercase Letter
ValueCountFrequency (%)
B 14
58.3%
A 6
25.0%
C 2
 
8.3%
S 2
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 1249
83.2%
, 253
 
16.8%
Space Separator
ValueCountFrequency (%)
1296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 252
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4597
57.6%
Common 3356
42.1%
Latin 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 289
 
6.3%
산 285
 
6.2%
용 283
 
6.2%
서 269
 
5.9%
시 252
 
5.5%
특 244
 
5.3%
별 244
 
5.3%
구 244
 
5.3%
울 244
 
5.3%
동 235
 
5.1%
Other values (106) 2008
43.7%
Common
ValueCountFrequency (%)
1296
38.6%
* 1249
37.2%
, 253
 
7.5%
( 252
 
7.5%
) 252
 
7.5%
- 54
 
1.6%
Latin
ValueCountFrequency (%)
B 14
58.3%
A 6
25.0%
C 2
 
8.3%
S 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4597
57.6%
ASCII 3380
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1296
38.3%
* 1249
37.0%
, 253
 
7.5%
( 252
 
7.5%
) 252
 
7.5%
- 54
 
1.6%
B 14
 
0.4%
A 6
 
0.2%
C 2
 
0.1%
S 2
 
0.1%
Hangul
ValueCountFrequency (%)
로 289
 
6.3%
산 285
 
6.2%
용 283
 
6.2%
서 269
 
5.9%
시 252
 
5.5%
특 244
 
5.3%
별 244
 
5.3%
구 244
 
5.3%
울 244
 
5.3%
동 235
 
5.1%
Other values (106) 2008
43.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)21.7%
Missing28
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean4374.6372
Minimum4309
Maximum4427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T14:38:08.638427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4309
5-th percentile4315
Q14345
median4377
Q34412.25
95-th percentile4426
Maximum4427
Range118
Interquartile range (IQR)67.25

Descriptive statistics

Standard deviation36.69782
Coefficient of variation (CV)0.0083887688
Kurtosis-1.2935639
Mean4374.6372
Median Absolute Deviation (MAD)33
Skewness-0.12009317
Sum988668
Variance1346.73
MonotonicityNot monotonic
2024-05-11T14:38:08.921289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4345 18
 
7.1%
4344 14
 
5.5%
4426 10
 
3.9%
4364 8
 
3.1%
4315 8
 
3.1%
4419 8
 
3.1%
4391 7
 
2.8%
4377 6
 
2.4%
4406 6
 
2.4%
4385 6
 
2.4%
Other values (39) 135
53.1%
(Missing) 28
 
11.0%
ValueCountFrequency (%)
4309 4
1.6%
4313 3
 
1.2%
4315 8
3.1%
4317 6
2.4%
4318 2
 
0.8%
4320 2
 
0.8%
4325 4
1.6%
4331 2
 
0.8%
4332 2
 
0.8%
4337 2
 
0.8%
ValueCountFrequency (%)
4427 4
 
1.6%
4426 10
3.9%
4425 4
 
1.6%
4424 6
2.4%
4423 2
 
0.8%
4419 8
3.1%
4418 4
 
1.6%
4417 6
2.4%
4416 2
 
0.8%
4415 4
 
1.6%

사업장명
Text

Distinct93
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-05-11T14:38:09.734382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length6.6574803
Min length2

Characters and Unicode

Total characters1691
Distinct characters221
Distinct categories10 ?
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 (%)2.4%

Sample

1st row엠펫
2nd row엘슈슈
3rd row아이조아 용산점
4th row엠코코(Mcoco)
5th row한남메이펫
ValueCountFrequency (%)
우쭈쭈 7
 
2.4%
꼬리살랑 6
 
2.1%
라온동물병원 6
 
2.1%
주)플래닛오브독스 6
 
2.1%
다독 6
 
2.1%
민트동물병원 6
 
2.1%
24시 4
 
1.4%
원효동물병원 4
 
1.4%
남산동물병원 4
 
1.4%
베이동물병원 4
 
1.4%
Other values (95) 236
81.7%
2024-05-11T14:38:10.422338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 95
 
5.6%
원 94
 
5.6%
물 90
 
5.3%
병 80
 
4.7%
펫 51
 
3.0%
이 49
 
2.9%
35
 
2.1%
스 30
 
1.8%
독 26
 
1.5%
) 25
 
1.5%
Other values (211) 1116
66.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1373
81.2%
Lowercase Letter 113
 
6.7%
Uppercase Letter 69
 
4.1%
Space Separator 35
 
2.1%
Decimal Number 33
 
2.0%
Close Punctuation 25
 
1.5%
Open Punctuation 25
 
1.5%
Other Punctuation 10
 
0.6%
Dash Punctuation 4
 
0.2%
Connector Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 95
 
6.9%
원 94
 
6.8%
물 90
 
6.6%
병 80
 
5.8%
펫 51
 
3.7%
이 49
 
3.6%
스 30
 
2.2%
독 26
 
1.9%
리 22
 
1.6%
프 18
 
1.3%
Other values (161) 818
59.6%
Lowercase Letter
ValueCountFrequency (%)
e 17
15.0%
a 12
10.6%
t 11
9.7%
i 10
 
8.8%
p 7
 
6.2%
l 6
 
5.3%
s 6
 
5.3%
c 6
 
5.3%
u 6
 
5.3%
n 6
 
5.3%
Other values (8) 26
23.0%
Uppercase Letter
ValueCountFrequency (%)
O 10
14.5%
P 8
11.6%
C 8
11.6%
T 6
8.7%
H 6
8.7%
L 6
8.7%
B 6
8.7%
U 4
 
5.8%
A 2
 
2.9%
G 2
 
2.9%
Other values (6) 11
15.9%
Decimal Number
ValueCountFrequency (%)
2 6
18.2%
1 5
15.2%
4 5
15.2%
0 4
12.1%
7 4
12.1%
9 4
12.1%
3 2
 
6.1%
8 2
 
6.1%
5 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
? 6
60.0%
& 4
40.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1373
81.2%
Latin 182
 
10.8%
Common 136
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 95
 
6.9%
원 94
 
6.8%
물 90
 
6.6%
병 80
 
5.8%
펫 51
 
3.7%
이 49
 
3.6%
스 30
 
2.2%
독 26
 
1.9%
리 22
 
1.6%
프 18
 
1.3%
Other values (161) 818
59.6%
Latin
ValueCountFrequency (%)
e 17
 
9.3%
a 12
 
6.6%
t 11
 
6.0%
i 10
 
5.5%
O 10
 
5.5%
P 8
 
4.4%
C 8
 
4.4%
p 7
 
3.8%
l 6
 
3.3%
T 6
 
3.3%
Other values (24) 87
47.8%
Common
ValueCountFrequency (%)
35
25.7%
) 25
18.4%
( 25
18.4%
2 6
 
4.4%
? 6
 
4.4%
1 5
 
3.7%
4 5
 
3.7%
0 4
 
2.9%
7 4
 
2.9%
& 4
 
2.9%
Other values (6) 17
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1373
81.2%
ASCII 318
 
18.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 95
 
6.9%
원 94
 
6.8%
물 90
 
6.6%
병 80
 
5.8%
펫 51
 
3.7%
이 49
 
3.6%
스 30
 
2.2%
독 26
 
1.9%
리 22
 
1.6%
프 18
 
1.3%
Other values (161) 818
59.6%
ASCII
ValueCountFrequency (%)
35
 
11.0%
) 25
 
7.9%
( 25
 
7.9%
e 17
 
5.3%
a 12
 
3.8%
t 11
 
3.5%
i 10
 
3.1%
O 10
 
3.1%
P 8
 
2.5%
C 8
 
2.5%
Other values (40) 157
49.4%

최종수정일자
Date

Distinct135
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2010-11-25 13:48:14
Maximum2022-07-01 11:17:38
2024-05-11T14:38:10.678891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:38:10.900335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
I
192 
U
62 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 192
75.6%
U 62
 
24.4%

Length

2024-05-11T14:38:11.137367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:11.283569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 192
75.6%
u 62
 
24.4%

데이터갱신일자
Categorical

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2021-12-07 00:02:00.0
130 
2021-12-04 22:07:00.0
123 
2021-12-07 00:03:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)0.4%

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 00:02:00.0 130
51.2%
2021-12-04 22:07:00.0 123
48.4%
2021-12-07 00:03:00.0 1
 
0.4%

Length

2024-05-11T14:38:11.435803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:11.599398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-07 131
25.8%
00:02:00.0 130
25.6%
2021-12-04 123
24.2%
22:07:00.0 123
24.2%
00:03:00.0 1
 
0.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

좌표정보(X)
Real number (ℝ)

Distinct84
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198347.69
Minimum195547.14
Maximum200955.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T14:38:11.829922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195547.14
5-th percentile196334.72
Q1197071.4
median198781.16
Q3199561.73
95-th percentile200506.19
Maximum200955.89
Range5408.7521
Interquartile range (IQR)2490.3221

Descriptive statistics

Standard deviation1438.5174
Coefficient of variation (CV)0.0072525042
Kurtosis-1.1605139
Mean198347.69
Median Absolute Deviation (MAD)1297.9527
Skewness-0.082377911
Sum50380312
Variance2069332.4
MonotonicityNot monotonic
2024-05-11T14:38:12.088166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196762.077394917 12
 
4.7%
197722.571038558 10
 
3.9%
199396.732140732 7
 
2.8%
195547.140326252 6
 
2.4%
199007.769113841 6
 
2.4%
200079.108817319 6
 
2.4%
198791.952672996 6
 
2.4%
200227.605775761 6
 
2.4%
196370.91788949 6
 
2.4%
200779.182 4
 
1.6%
Other values (74) 185
72.8%
ValueCountFrequency (%)
195547.140326252 6
2.4%
195610.363553274 2
 
0.8%
195772.099586477 2
 
0.8%
196211.287232401 2
 
0.8%
196334.724063159 2
 
0.8%
196370.91788949 6
2.4%
196457.900399877 2
 
0.8%
196459.674190442 1
 
0.4%
196490.844311727 4
1.6%
196508.324983738 1
 
0.4%
ValueCountFrequency (%)
200955.892430557 4
1.6%
200779.182 4
1.6%
200571.725921493 1
 
0.4%
200559.36615505 2
 
0.8%
200506.187313451 4
1.6%
200437.601967198 2
 
0.8%
200248.92371748 2
 
0.8%
200227.605775761 6
2.4%
200175.519852569 4
1.6%
200079.108817319 6
2.4%

좌표정보(Y)
Real number (ℝ)

Distinct84
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447989.42
Minimum446185.24
Maximum449803.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-05-11T14:38:12.423327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446185.24
5-th percentile446344.59
Q1447480.04
median448030.31
Q3448588.93
95-th percentile449191.56
Maximum449803.9
Range3618.6551
Interquartile range (IQR)1108.8876

Descriptive statistics

Standard deviation865.27031
Coefficient of variation (CV)0.0019314526
Kurtosis-0.26979431
Mean447989.42
Median Absolute Deviation (MAD)550.26688
Skewness-0.28951596
Sum1.1378931 × 108
Variance748692.71
MonotonicityNot monotonic
2024-05-11T14:38:12.637557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447480.039577359 12
 
4.7%
446344.591216568 10
 
3.9%
447874.334199952 7
 
2.8%
447976.775939762 6
 
2.4%
448599.20104052 6
 
2.4%
447917.947059496 6
 
2.4%
448364.553023469 6
 
2.4%
448888.288681311 6
 
2.4%
448005.891835529 6
 
2.4%
448049.195666666 4
 
1.6%
Other values (74) 185
72.8%
ValueCountFrequency (%)
446185.244544796 4
 
1.6%
446262.544080318 4
 
1.6%
446272.36306167 2
 
0.8%
446344.591216568 10
3.9%
446419.923247168 4
 
1.6%
446427.192414074 2
 
0.8%
446663.174667201 2
 
0.8%
446872.660810651 2
 
0.8%
446893.484429691 4
 
1.6%
446986.411557186 2
 
0.8%
ValueCountFrequency (%)
449803.89961095 4
1.6%
449798.694865635 2
0.8%
449746.79133351 2
0.8%
449638.917481712 2
0.8%
449605.434772664 2
0.8%
449191.560826572 4
1.6%
449150.559157033 2
0.8%
449111.933534837 1
 
0.4%
449078.231792802 1
 
0.4%
449019.314987909 4
1.6%

축산업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

권리주체일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing254
Missing (%)100.0%
Memory size2.4 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0302000030200000492021000220210208<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 용산구 후암동 ***-**서울특별시 용산구 후암로**길 ** (후암동)4332엠펫2022-04-28 18:11:01I2021-12-07 00:02:00.0<NA>197828.692365449638.917482<NA><NA><NA><NA><NA>
1302000030200000492022000520220622<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 용산구 용산동*가 **-* ***호서울특별시 용산구 신흥로 **-*, ***호 (용산동*가)4338엘슈슈2022-06-22 09:06:24I2021-12-07 00:02:00.0<NA>198783.107724449078.231793<NA><NA><NA><NA><NA>
2302000030200000482022000520220628<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 용산구 이태원동 **-** *층서울특별시 용산구 녹사평대로**길 **, *층 (이태원동)4390아이조아 용산점2022-06-28 16:45:17I2021-12-07 00:02:00.0<NA>199069.934522447914.89696<NA><NA><NA><NA><NA>
3302000030200000492022000420220610<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 용산구 용문동 *-** ***호서울특별시 용산구 효창원로**길 **, ***호 (용문동)4364엠코코(Mcoco)2022-06-10 15:33:23I2021-12-07 00:02:00.0<NA>196508.324984448348.816<NA><NA><NA><NA><NA>
4302000030200000492022000320220526<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 용산구 한남동 *** 한남아이파크 ***호서울특별시 용산구 독서당로 **, *층 ***호 (한남동, 한남아이파크)4410한남메이펫2022-05-26 13:05:07I2021-12-07 00:02:00.0<NA>200571.725921447793.924059<NA><NA><NA><NA><NA>
5302000030200000482022000420220302<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-6487-87160<NA>서울특별시 용산구 이태원동 ***-** 지층***호서울특별시 용산구 보광로 ***-*, 지하*층 ***호 (이태원동)4406루피네2022-04-28 18:11:01I2021-12-07 00:02:00.0<NA>199458.491146447881.290589<NA><NA><NA><NA><NA>
6302000030200000492022000220220106<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-704-98870<NA>서울특별시 용산구 원효로*가 ** 용산더프라임 주거동 ***호서울특별시 용산구 원효로**길 **, *층 ***호 (원효로*가, 용산더프라임)4315개님살롱2022-04-28 18:11:01I2021-12-07 00:02:00.0<NA>197287.505067448662.153501<NA><NA><NA><NA><NA>
7302000030200000482022000320220106<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-704-98870<NA>서울특별시 용산구 원효로*가 ** 용산더프라임 주거동 ***호서울특별시 용산구 원효로**길 **, *층 ***호 (원효로*가, 용산더프라임)4315개님살롱2022-04-28 18:11:01I2021-12-07 00:02:00.0<NA>197287.505067448662.153501<NA><NA><NA><NA><NA>
8302000030200000502022000120220103<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 용산구 청파동*가 ***-*** ***호서울특별시 용산구 청파로**다길 **-*, ***호 (청파동*가)4313피앤피(PnP)펫택시2022-04-28 18:11:01I2021-12-07 00:02:00.0<NA>197200.336542448951.415427<NA><NA><NA><NA><NA>
9302000030200000492021001620211228<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 용산구 이태원동 ***-*서울특별시 용산구 녹사평대로**길 **(이태원동)4345도미네로2022-04-28 18:11:01I2021-12-07 00:02:00.0<NA>198869.731395448335.147114<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
244302000030200000372010000220100302<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>798-3335<NA><NA>서울특별시 용산구 이태원동 ***-**번지 (지상*층)서울특별시 용산구 회나무로**길 ** (이태원동,(지상*층))<NA>멍멍2011-05-18 14:07:57I2021-12-04 22:07:00.0<NA>199518.740497448597.78293<NA><NA><NA><NA><NA>
245302000030200000372010000120100118<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>790-23440<NA>서울특별시 용산구 이촌동 ***-***번지 현대상가 라동 ***호서울특별시 용산구 이촌로 ***, 라동 ***층 (이촌동, 현대상가)4424튼실이네애견샵2015-11-03 10:18:57I2021-12-04 22:07:00.0<NA>198375.194938446272.363062<NA><NA><NA><NA><NA>
246302000030200000372009000520090806<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>790-00430<NA>서울특별시 용산구 한강로*가 ***-*번지서울특별시 용산구 한강대로 *** (한강로*가)<NA>YOU & PET2013-08-22 12:39:17I2021-12-04 22:07:00.0<NA>197373.117346447848.033447<NA><NA><NA><NA><NA>
247302000030200000372009000420090730<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>790-6342<NA><NA>서울특별시 용산구 동빙고동 ***번지서울특별시 용산구 서빙고로**길 **-** (동빙고동)<NA>HOTDOG & COOLCAT2013-05-22 17:36:25I2021-12-04 22:07:00.0<NA>199471.895294446663.174667<NA><NA><NA><NA><NA>
248302000030200000372009000320090518<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>792-75850<NA>서울특별시 용산구 이태원동 ***-**번지 *층서울특별시 용산구 회나무로**길 *, *층 (이태원동)4344라온동물병원2015-09-22 14:28:12I2021-12-04 22:07:00.0<NA>199007.769114448599.201041<NA><NA><NA><NA><NA>
249302000030200000372009000220090406<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>796-46480<NA>서울특별시 용산구 보광동 ***-*번지서울특별시 용산구 장문로 ** (보광동)4394목욕하는 고양이2016-11-09 10:54:41I2021-12-04 22:07:00.0<NA>199705.84188447093.567638<NA><NA><NA><NA><NA>
250302000030200000372009000120090109<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>2012-3875<NA><NA>서울특별시 용산구 한강로*가 **-***번지 (지상*층)<NA><NA>쿨펫동물병원2010-12-06 12:42:23I2021-12-04 22:07:00.0<NA>196762.077395447480.039577<NA><NA><NA><NA><NA>
251302000030200000372008000320081113<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>714-90440<NA>서울특별시 용산구 동자동 **-**번지서울특별시 용산구 한강대로 ***-* (동자동, 요키랑 말티랑)4320요키랑말티랑2015-10-29 13:19:33I2021-12-04 22:07:00.0<NA>197430.678489449798.694866<NA><NA><NA><NA><NA>
252302000030200000372008000220081008<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>702-1250<NA><NA>서울특별시 용산구 원효로*가 *-**번지 외*필지(지상*층)서울특별시 용산구 백범로 *** (원효로*가,외*필지(지상*층))<NA>원효애견2019-01-30 10:22:55U2021-12-04 22:07:00.0<NA>196864.344729448426.417529<NA><NA><NA><NA><NA>
253302000030200000372008000120081008<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>2012-1256<NA><NA>서울특별시 용산구 한강로*가 **-***번지 지하*층<NA><NA>펫프렌즈2012-05-24 14:02:33I2021-12-04 22:07:00.0<NA>196762.077395447480.039577<NA><NA><NA><NA><NA>