Overview

Dataset statistics

Number of variables30
Number of observations363
Missing cells4136
Missing cells (%)38.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.6 KiB
Average record size in memory258.4 B

Variable types

Categorical8
Numeric5
DateTime4
Unsupported9
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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16611/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
영업상태코드 is highly imbalanced (92.8%)Imbalance
영업상태명 is highly imbalanced (92.8%)Imbalance
상세영업상태코드 is highly imbalanced (92.8%)Imbalance
상세영업상태명 is highly imbalanced (92.8%)Imbalance
소재지면적 is highly imbalanced (76.4%)Imbalance
인허가취소일자 has 363 (100.0%) missing valuesMissing
휴업시작일자 has 362 (99.7%) missing valuesMissing
휴업종료일자 has 362 (99.7%) missing valuesMissing
재개업일자 has 363 (100.0%) missing valuesMissing
전화번호 has 126 (34.7%) missing valuesMissing
소재지우편번호 has 363 (100.0%) missing valuesMissing
도로명우편번호 has 16 (4.4%) missing valuesMissing
업태구분명 has 363 (100.0%) missing valuesMissing
축산업무구분명 has 363 (100.0%) missing valuesMissing
축산물가공업구분명 has 363 (100.0%) missing valuesMissing
축산일련번호 has 363 (100.0%) missing valuesMissing
권리주체일련번호 has 363 (100.0%) missing valuesMissing
총인원 has 363 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 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 started2024-04-06 11:17:20.105388
Analysis finished2024-04-06 11:17:20.869813
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3200000
363 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 363
100.0%

Length

2024-04-06T20:17:20.998618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:21.186889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 363
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct363
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2 × 1017
Minimum3.2 × 1017
Maximum3.2000001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:17:21.428315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2 × 1017
5-th percentile3.2 × 1017
Q13.2 × 1017
median3.2 × 1017
Q33.2 × 1017
95-th percentile3.2 × 1017
Maximum3.2000001 × 1017
Range1.30014 × 109
Interquartile range (IQR)1.1000199 × 109

Descriptive statistics

Standard deviation5.5251266 × 108
Coefficient of variation (CV)1.726602 × 10-9
Kurtosis-1.8536667
Mean3.2 × 1017
Median Absolute Deviation (MAD)5.0014003 × 108
Skewness0.13001136
Sum5.4795371 × 1018
Variance3.0527024 × 1017
MonotonicityNot monotonic
2024-04-06T20:17:21.784331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
320000003720180021 1
 
0.3%
320000003720180094 1
 
0.3%
320000003720180096 1
 
0.3%
320000003720180097 1
 
0.3%
320000003720190002 1
 
0.3%
320000003720190001 1
 
0.3%
320000003720190005 1
 
0.3%
320000003720190003 1
 
0.3%
320000003720190004 1
 
0.3%
320000003720190006 1
 
0.3%
Other values (353) 353
97.2%
ValueCountFrequency (%)
320000003720080001 1
0.3%
320000003720080002 1
0.3%
320000003720080003 1
0.3%
320000003720080004 1
0.3%
320000003720090001 1
0.3%
320000003720100001 1
0.3%
320000003720100002 1
0.3%
320000003720100003 1
0.3%
320000003720110001 1
0.3%
320000003720110002 1
0.3%
ValueCountFrequency (%)
320000005020220008 1
0.3%
320000005020220007 1
0.3%
320000005020220006 1
0.3%
320000005020220005 1
0.3%
320000005020210007 1
0.3%
320000005020210006 1
0.3%
320000005020210005 1
0.3%
320000005020210003 1
0.3%
320000005020210002 1
0.3%
320000005020200004 1
0.3%

인허가일자
Date

Distinct111
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2008-07-09 00:00:00
Maximum2022-05-13 00:00:00
2024-04-06T20:17:22.037455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:17:22.287513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)100.0%
Memory size3.3 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
4
358 
3
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row2
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 358
98.6%
3 4
 
1.1%
2 1
 
0.3%

Length

2024-04-06T20:17:22.622319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:22.791630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 358
98.6%
3 4
 
1.1%
2 1
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
취소/말소/만료/정지/중지
358 
폐업
 
4
휴업
 
1

Length

Max length14
Median length14
Mean length13.834711
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row휴업
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 358
98.6%
폐업 4
 
1.1%
휴업 1
 
0.3%

Length

2024-04-06T20:17:22.988799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:23.170851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 358
98.6%
폐업 4
 
1.1%
휴업 1
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
4
358 
2
 
4
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
4 358
98.6%
2 4
 
1.1%
1 1
 
0.3%

Length

2024-04-06T20:17:23.374241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:23.605452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 358
98.6%
2 4
 
1.1%
1 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
말소
358 
폐업
 
4
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
말소 358
98.6%
폐업 4
 
1.1%
휴업 1
 
0.3%

Length

2024-04-06T20:17:23.794055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:23.967770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말소 358
98.6%
폐업 4
 
1.1%
휴업 1
 
0.3%

폐업일자
Real number (ℝ)

Distinct6
Distinct (%)1.7%
Missing1
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean20219952
Minimum20121101
Maximum20220701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:17:24.180784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20121101
5-th percentile20220526
Q120220526
median20220701
Q320220701
95-th percentile20220701
Maximum20220701
Range99600
Interquartile range (IQR)175

Descriptive statistics

Standard deviation7286.1986
Coefficient of variation (CV)0.00036034697
Kurtosis156.9647
Mean20219952
Median Absolute Deviation (MAD)0
Skewness-12.328082
Sum7.3196227 × 109
Variance53088690
MonotonicityNot monotonic
2024-04-06T20:17:24.390707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20220701 182
50.1%
20220526 176
48.5%
20200204 1
 
0.3%
20190611 1
 
0.3%
20121101 1
 
0.3%
20130607 1
 
0.3%
(Missing) 1
 
0.3%
ValueCountFrequency (%)
20121101 1
 
0.3%
20130607 1
 
0.3%
20190611 1
 
0.3%
20200204 1
 
0.3%
20220526 176
48.5%
20220701 182
50.1%
ValueCountFrequency (%)
20220701 182
50.1%
20220526 176
48.5%
20200204 1
 
0.3%
20190611 1
 
0.3%
20130607 1
 
0.3%
20121101 1
 
0.3%

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing362
Missing (%)99.7%
Memory size3.0 KiB
Minimum2023-08-14 00:00:00
Maximum2023-08-14 00:00:00
2024-04-06T20:17:24.585051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:17:24.899735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing362
Missing (%)99.7%
Memory size3.0 KiB
Minimum2038-12-01 00:00:00
Maximum2038-12-01 00:00:00
2024-04-06T20:17:25.106418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:17:25.346850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)100.0%
Memory size3.3 KiB

전화번호
Text

MISSING 

Distinct76
Distinct (%)32.1%
Missing126
Missing (%)34.7%
Memory size3.0 KiB
2024-04-06T20:17:25.743035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.333333
Min length9

Characters and Unicode

Total characters2686
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 row02-863-5571
2nd row02-838-2922
3rd row02-875-3861
4th row02-3281-0362
5th row02-3281-0362
ValueCountFrequency (%)
070-5154-5505 8
 
3.4%
02-3285-7272 8
 
3.4%
02-871-0170 8
 
3.4%
070-7655-4550 6
 
2.5%
02-838-2922 6
 
2.5%
02-889-6776 6
 
2.5%
02-875-1999 6
 
2.5%
02-887-3058 6
 
2.5%
02-872-7588 4
 
1.7%
02-882-8189 4
 
1.7%
Other values (66) 175
73.8%
2024-04-06T20:17:26.509538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 470
17.5%
0 404
15.0%
8 381
14.2%
2 335
12.5%
7 286
10.6%
5 248
9.2%
9 126
 
4.7%
6 121
 
4.5%
3 120
 
4.5%
1 109
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2216
82.5%
Dash Punctuation 470
 
17.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 404
18.2%
8 381
17.2%
2 335
15.1%
7 286
12.9%
5 248
11.2%
9 126
 
5.7%
6 121
 
5.5%
3 120
 
5.4%
1 109
 
4.9%
4 86
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 470
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2686
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 470
17.5%
0 404
15.0%
8 381
14.2%
2 335
12.5%
7 286
10.6%
5 248
9.2%
9 126
 
4.7%
6 121
 
4.5%
3 120
 
4.5%
1 109
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2686
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 470
17.5%
0 404
15.0%
8 381
14.2%
2 335
12.5%
7 286
10.6%
5 248
9.2%
9 126
 
4.7%
6 121
 
4.5%
3 120
 
4.5%
1 109
 
4.1%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0
349 
<NA>
 
14

Length

Max length4
Median length1
Mean length1.1157025
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 349
96.1%
<NA> 14
 
3.9%

Length

2024-04-06T20:17:26.739817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:26.909462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 349
96.1%
na 14
 
3.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)100.0%
Memory size3.3 KiB

지번주소
Text

Distinct102
Distinct (%)28.3%
Missing2
Missing (%)0.6%
Memory size3.0 KiB
2024-04-06T20:17:27.158192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length32
Mean length23.529086
Min length13

Characters and Unicode

Total characters8494
Distinct characters79
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)7.2%

Sample

1st row서울특별시 관악구 신림동 ***-***
2nd row서울특별시 관악구 신림동 ***-**
3rd row서울특별시 관악구 신림동 ***-** *층
4th row서울특별시 관악구 신림동 ***-**
5th row서울특별시 관악구 봉천동 **-**
ValueCountFrequency (%)
서울특별시 359
21.2%
관악구 359
21.2%
227
13.4%
신림동 200
11.8%
봉천동 149
8.8%
층 145
8.5%
번지 130
 
7.7%
호 40
 
2.4%
지층 10
 
0.6%
남현동 10
 
0.6%
Other values (26) 67
 
4.0%
2024-04-06T20:17:27.873892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2074
24.4%
1335
15.7%
동 373
 
4.4%
시 363
 
4.3%
구 361
 
4.3%
관 361
 
4.3%
악 361
 
4.3%
서 359
 
4.2%
울 359
 
4.2%
별 359
 
4.2%
Other values (69) 2189
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4730
55.7%
Other Punctuation 2076
24.4%
Space Separator 1335
 
15.7%
Dash Punctuation 353
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 373
 
7.9%
시 363
 
7.7%
구 361
 
7.6%
관 361
 
7.6%
악 361
 
7.6%
서 359
 
7.6%
울 359
 
7.6%
별 359
 
7.6%
특 359
 
7.6%
림 208
 
4.4%
Other values (65) 1267
26.8%
Other Punctuation
ValueCountFrequency (%)
* 2074
99.9%
, 2
 
0.1%
Space Separator
ValueCountFrequency (%)
1335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4730
55.7%
Common 3764
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 373
 
7.9%
시 363
 
7.7%
구 361
 
7.6%
관 361
 
7.6%
악 361
 
7.6%
서 359
 
7.6%
울 359
 
7.6%
별 359
 
7.6%
특 359
 
7.6%
림 208
 
4.4%
Other values (65) 1267
26.8%
Common
ValueCountFrequency (%)
* 2074
55.1%
1335
35.5%
- 353
 
9.4%
, 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4730
55.7%
ASCII 3764
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2074
55.1%
1335
35.5%
- 353
 
9.4%
, 2
 
0.1%
Hangul
ValueCountFrequency (%)
동 373
 
7.9%
시 363
 
7.7%
구 361
 
7.6%
관 361
 
7.6%
악 361
 
7.6%
서 359
 
7.6%
울 359
 
7.6%
별 359
 
7.6%
특 359
 
7.6%
림 208
 
4.4%
Other values (65) 1267
26.8%

도로명주소
Text

Distinct102
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T20:17:28.398538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length29.181818
Min length22

Characters and Unicode

Total characters10593
Distinct characters122
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

Unique4 ?
Unique (%)1.1%

Sample

1st row서울특별시 관악구 난향*길 * (신림동)
2nd row서울특별시 관악구 관악로**길 **, *층 (봉천동)
3rd row서울특별시 관악구 조원로 *** (신림동)
4th row서울특별시 관악구 남부순환로***가길 **, *층 (신림동)
5th row서울특별시 관악구 신림로**길 **-*, B**호 (신림동)
ValueCountFrequency (%)
서울특별시 361
16.5%
관악구 361
16.5%
361
16.5%
층 220
10.1%
신림동 196
9.0%
봉천동 149
6.8%
남부순환로 64
 
2.9%
호 59
 
2.7%
신림로 48
 
2.2%
은천로 20
 
0.9%
Other values (81) 349
16.0%
2024-04-06T20:17:29.446283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1825
17.2%
* 1629
 
15.4%
관 389
 
3.7%
동 387
 
3.7%
악 385
 
3.6%
시 367
 
3.5%
구 363
 
3.4%
) 363
 
3.4%
( 363
 
3.4%
서 361
 
3.4%
Other values (112) 4161
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6054
57.2%
Other Punctuation 1942
 
18.3%
Space Separator 1825
 
17.2%
Close Punctuation 363
 
3.4%
Open Punctuation 363
 
3.4%
Dash Punctuation 36
 
0.3%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 389
 
6.4%
동 387
 
6.4%
악 385
 
6.4%
시 367
 
6.1%
구 363
 
6.0%
서 361
 
6.0%
특 361
 
6.0%
별 361
 
6.0%
울 361
 
6.0%
로 322
 
5.3%
Other values (102) 2397
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
X 2
20.0%
Y 2
20.0%
C 2
20.0%
Other Punctuation
ValueCountFrequency (%)
* 1629
83.9%
, 313
 
16.1%
Space Separator
ValueCountFrequency (%)
1825
100.0%
Close Punctuation
ValueCountFrequency (%)
) 363
100.0%
Open Punctuation
ValueCountFrequency (%)
( 363
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6054
57.2%
Common 4529
42.8%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 389
 
6.4%
동 387
 
6.4%
악 385
 
6.4%
시 367
 
6.1%
구 363
 
6.0%
서 361
 
6.0%
특 361
 
6.0%
별 361
 
6.0%
울 361
 
6.0%
로 322
 
5.3%
Other values (102) 2397
39.6%
Common
ValueCountFrequency (%)
1825
40.3%
* 1629
36.0%
) 363
 
8.0%
( 363
 
8.0%
, 313
 
6.9%
- 36
 
0.8%
Latin
ValueCountFrequency (%)
B 4
40.0%
X 2
20.0%
Y 2
20.0%
C 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6054
57.2%
ASCII 4539
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1825
40.2%
* 1629
35.9%
) 363
 
8.0%
( 363
 
8.0%
, 313
 
6.9%
- 36
 
0.8%
B 4
 
0.1%
X 2
 
< 0.1%
Y 2
 
< 0.1%
C 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
관 389
 
6.4%
동 387
 
6.4%
악 385
 
6.4%
시 367
 
6.1%
구 363
 
6.0%
서 361
 
6.0%
특 361
 
6.0%
별 361
 
6.0%
울 361
 
6.0%
로 322
 
5.3%
Other values (102) 2397
39.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)19.0%
Missing16
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean8811.6657
Minimum8701
Maximum16565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:17:29.838258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8701
5-th percentile8707
Q18733
median8766
Q38785
95-th percentile8852
Maximum16565
Range7864
Interquartile range (IQR)52

Descriptive statistics

Standard deviation592.65932
Coefficient of variation (CV)0.067258489
Kurtosis169.24761
Mean8811.6657
Median Absolute Deviation (MAD)27
Skewness13.01569
Sum3057648
Variance351245.07
MonotonicityNot monotonic
2024-04-06T20:17:30.118758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8707 20
 
5.5%
8762 15
 
4.1%
8780 14
 
3.9%
8756 14
 
3.9%
8771 12
 
3.3%
8733 12
 
3.3%
8793 12
 
3.3%
8784 12
 
3.3%
8776 12
 
3.3%
8754 10
 
2.8%
Other values (56) 214
59.0%
(Missing) 16
 
4.4%
ValueCountFrequency (%)
8701 4
 
1.1%
8702 6
 
1.7%
8704 3
 
0.8%
8706 2
 
0.6%
8707 20
5.5%
8708 6
 
1.7%
8715 6
 
1.7%
8716 1
 
0.3%
8719 4
 
1.1%
8720 4
 
1.1%
ValueCountFrequency (%)
16565 2
 
0.6%
8864 6
1.7%
8859 1
 
0.3%
8857 4
1.1%
8856 4
1.1%
8852 2
 
0.6%
8846 6
1.7%
8845 2
 
0.6%
8844 4
1.1%
8838 2
 
0.6%

사업장명
Text

Distinct128
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T20:17:30.559323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length13
Mean length6.4269972
Min length2

Characters and Unicode

Total characters2333
Distinct characters253
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)1.4%

Sample

1st row별빛캣 (고양이, 소규모생산업)
2nd row플라이플라잉
3rd row아름다울, 개
4th row러브스카이
5th row펫택시
ValueCountFrequency (%)
펫택시 9
 
1.9%
혼자두면 8
 
1.6%
차린 8
 
1.6%
개카페 8
 
1.6%
투퍼피 8
 
1.6%
올독코리아 8
 
1.6%
지니앤독 8
 
1.6%
장판뜯어서 8
 
1.6%
방가댕댕 6
 
1.2%
디어몽 6
 
1.2%
Other values (150) 408
84.1%
2024-04-06T20:17:31.623691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
5.2%
동 70
 
3.0%
물 68
 
2.9%
이 65
 
2.8%
원 60
 
2.6%
병 60
 
2.6%
아 57
 
2.4%
지 50
 
2.1%
펫 48
 
2.1%
개 43
 
1.8%
Other values (243) 1690
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1983
85.0%
Space Separator 122
 
5.2%
Lowercase Letter 81
 
3.5%
Uppercase Letter 54
 
2.3%
Decimal Number 37
 
1.6%
Open Punctuation 22
 
0.9%
Close Punctuation 22
 
0.9%
Other Punctuation 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
 
3.5%
물 68
 
3.4%
이 65
 
3.3%
원 60
 
3.0%
병 60
 
3.0%
아 57
 
2.9%
지 50
 
2.5%
펫 48
 
2.4%
개 43
 
2.2%
스 38
 
1.9%
Other values (202) 1424
71.8%
Lowercase Letter
ValueCountFrequency (%)
o 12
14.8%
e 9
11.1%
m 8
9.9%
a 8
9.9%
t 7
8.6%
n 6
7.4%
g 6
7.4%
p 5
6.2%
h 4
 
4.9%
r 4
 
4.9%
Other values (6) 12
14.8%
Uppercase Letter
ValueCountFrequency (%)
D 12
22.2%
Y 6
11.1%
C 6
11.1%
T 6
11.1%
P 4
 
7.4%
O 4
 
7.4%
G 4
 
7.4%
H 4
 
7.4%
A 4
 
7.4%
S 2
 
3.7%
Decimal Number
ValueCountFrequency (%)
2 11
29.7%
3 5
13.5%
8 5
13.5%
1 4
 
10.8%
0 4
 
10.8%
4 4
 
10.8%
5 2
 
5.4%
6 2
 
5.4%
Other Punctuation
ValueCountFrequency (%)
& 6
50.0%
, 4
33.3%
; 2
 
16.7%
Space Separator
ValueCountFrequency (%)
122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1983
85.0%
Common 215
 
9.2%
Latin 135
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
 
3.5%
물 68
 
3.4%
이 65
 
3.3%
원 60
 
3.0%
병 60
 
3.0%
아 57
 
2.9%
지 50
 
2.5%
펫 48
 
2.4%
개 43
 
2.2%
스 38
 
1.9%
Other values (202) 1424
71.8%
Latin
ValueCountFrequency (%)
o 12
 
8.9%
D 12
 
8.9%
e 9
 
6.7%
m 8
 
5.9%
a 8
 
5.9%
t 7
 
5.2%
n 6
 
4.4%
Y 6
 
4.4%
C 6
 
4.4%
T 6
 
4.4%
Other values (17) 55
40.7%
Common
ValueCountFrequency (%)
122
56.7%
( 22
 
10.2%
) 22
 
10.2%
2 11
 
5.1%
& 6
 
2.8%
3 5
 
2.3%
8 5
 
2.3%
1 4
 
1.9%
0 4
 
1.9%
4 4
 
1.9%
Other values (4) 10
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1983
85.0%
ASCII 350
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
34.9%
( 22
 
6.3%
) 22
 
6.3%
o 12
 
3.4%
D 12
 
3.4%
2 11
 
3.1%
e 9
 
2.6%
m 8
 
2.3%
a 8
 
2.3%
t 7
 
2.0%
Other values (31) 117
33.4%
Hangul
ValueCountFrequency (%)
동 70
 
3.5%
물 68
 
3.4%
이 65
 
3.3%
원 60
 
3.0%
병 60
 
3.0%
아 57
 
2.9%
지 50
 
2.5%
펫 48
 
2.4%
개 43
 
2.2%
스 38
 
1.9%
Other values (202) 1424
71.8%

최종수정일자
Date

Distinct191
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2010-06-15 18:15:11
Maximum2023-08-14 17:36:19
2024-04-06T20:17:31.876505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:17:32.136091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
I
262 
U
101 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 262
72.2%
U 101
 
27.8%

Length

2024-04-06T20:17:32.378605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:32.579882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 262
72.2%
u 101
 
27.8%

데이터갱신일자
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2021-12-07 00:02:00.0
182 
2021-12-04 22:07:00.0
180 
2022-12-07 23:07:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row2022-12-07 23:07:00.0
2nd row2021-12-04 22:07:00.0
3rd row2021-12-07 00:02:00.0
4th row2021-12-04 22:07:00.0
5th row2021-12-07 00:02:00.0

Common Values

ValueCountFrequency (%)
2021-12-07 00:02:00.0 182
50.1%
2021-12-04 22:07:00.0 180
49.6%
2022-12-07 23:07:00.0 1
 
0.3%

Length

2024-04-06T20:17:32.744229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:32.932426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-07 182
25.1%
00:02:00.0 182
25.1%
2021-12-04 180
24.8%
22:07:00.0 180
24.8%
2022-12-07 1
 
0.1%
23:07:00.0 1
 
0.1%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)100.0%
Memory size3.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct118
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194352.12
Minimum191304.67
Maximum201928.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:17:33.211718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191304.67
5-th percentile192341.96
Q1193467.04
median194005.64
Q3195283.27
95-th percentile196923
Maximum201928.66
Range10623.982
Interquartile range (IQR)1816.2291

Descriptive statistics

Standard deviation1575.9119
Coefficient of variation (CV)0.0081085396
Kurtosis2.3576307
Mean194352.12
Median Absolute Deviation (MAD)876.26736
Skewness1.0736003
Sum70549821
Variance2483498.3
MonotonicityNot monotonic
2024-04-06T20:17:33.489415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193567.255349472 12
 
3.3%
194241.887244371 10
 
2.8%
196261.751797859 8
 
2.2%
194313.076727251 8
 
2.2%
193764.761470624 8
 
2.2%
193506.782565207 6
 
1.7%
193467.037701945 6
 
1.7%
192341.964494839 6
 
1.7%
194648.929578808 6
 
1.7%
194342.263827145 6
 
1.7%
Other values (108) 287
79.1%
ValueCountFrequency (%)
191304.674623854 2
 
0.6%
191443.31480758 2
 
0.6%
191931.67685502 4
1.1%
192024.267167574 4
1.1%
192329.079795313 2
 
0.6%
192341.964494839 6
1.7%
192373.396354187 2
 
0.6%
192377.141686052 2
 
0.6%
192385.909059469 4
1.1%
192391.681539949 2
 
0.6%
ValueCountFrequency (%)
201928.656908766 2
 
0.6%
198449.002171 6
1.7%
198374.473281221 4
1.1%
197034.285168712 2
 
0.6%
196997.453585186 2
 
0.6%
196956.012769045 2
 
0.6%
196923.000885696 2
 
0.6%
196911.038760415 2
 
0.6%
196842.033929631 2
 
0.6%
196800.165918737 2
 
0.6%

좌표정보(Y)
Real number (ℝ)

Distinct118
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442058.05
Minimum417373.72
Maximum443220.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T20:17:33.723785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum417373.72
5-th percentile440874.24
Q1441858.69
median442262.2
Q3442691.14
95-th percentile442983.24
Maximum443220.68
Range25846.957
Interquartile range (IQR)832.45011

Descriptive statistics

Standard deviation1946.5338
Coefficient of variation (CV)0.0044033442
Kurtosis142.26926
Mean442058.05
Median Absolute Deviation (MAD)427.49691
Skewness-11.332859
Sum1.6046707 × 108
Variance3788993.7
MonotonicityNot monotonic
2024-04-06T20:17:33.956805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442940.902180929 12
 
3.3%
442552.974780927 10
 
2.8%
442706.517080768 8
 
2.2%
442463.620525179 8
 
2.2%
442488.438980658 8
 
2.2%
443220.681393636 6
 
1.7%
443216.006975605 6
 
1.7%
442114.145209749 6
 
1.7%
442207.835591156 6
 
1.7%
442448.563337722 6
 
1.7%
Other values (108) 287
79.1%
ValueCountFrequency (%)
417373.724409882 2
0.6%
440049.104774722 1
 
0.3%
440477.464550484 2
0.6%
440507.424550637 1
 
0.3%
440718.303523739 2
0.6%
440748.900161401 4
1.1%
440799.54128469 4
1.1%
440801.40475048 2
0.6%
440874.243770197 4
1.1%
440930.551467844 2
0.6%
ValueCountFrequency (%)
443220.681393636 6
1.7%
443216.006975605 6
1.7%
443043.550424396 2
 
0.6%
443007.527848944 4
 
1.1%
442983.236950437 2
 
0.6%
442946.326508032 2
 
0.6%
442940.902180929 12
3.3%
442907.565997245 4
 
1.1%
442898.90624786 2
 
0.6%
442883.188130687 4
 
1.1%

축산업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)100.0%
Memory size3.3 KiB

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)100.0%
Memory size3.3 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)100.0%
Memory size3.3 KiB

권리주체일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)100.0%
Memory size3.3 KiB

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing363
Missing (%)100.0%
Memory size3.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
032000003200000037201800212018-05-29<NA>2휴업1휴업<NA>2023-08-142038-12-01<NA><NA>0<NA>서울특별시 관악구 신림동 ***-***서울특별시 관악구 난향*길 * (신림동)8859별빛캣 (고양이, 소규모생산업)2023-08-14 17:36:19U2022-12-07 23:07:00.0<NA>192453.096344440049.104775<NA><NA><NA><NA><NA>
1320000032000000372015000120150622<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA><NA>서울특별시 관악구 관악로**길 **, *층 (봉천동)8733플라이플라잉2015-11-16 14:08:32I2021-12-04 22:07:00.0<NA>196261.751798442706.517081<NA><NA><NA><NA><NA>
2320000032000000492020000920200619<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 ***-**서울특별시 관악구 조원로 *** (신림동)8704아름다울, 개2022-04-28 18:10:47I2021-12-07 00:02:00.0<NA>192818.689844442653.870172<NA><NA><NA><NA><NA>
3320000032000000372018002520180718<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-863-55710<NA>서울특별시 관악구 신림동 ***-** *층서울특별시 관악구 남부순환로***가길 **, *층 (신림동)8762러브스카이2022-03-30 14:09:01U2021-12-04 22:07:00.0<NA>192662.765047442532.612532<NA><NA><NA><NA><NA>
4320000032000000502022000720220510<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 ***-**서울특별시 관악구 신림로**길 **-*, B**호 (신림동)8817펫택시2022-05-10 11:00:39I2021-12-07 00:02:00.0<NA>194535.087626440507.424551<NA><NA><NA><NA><NA>
5320000032000000492022000420220324<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 관악구 봉천동 **-**서울특별시 관악구 관악로**길 **, *층 (봉천동)8733oh my dog(오마이독)2022-04-28 18:10:47I2021-12-07 00:02:00.0<NA>196261.751798442706.517081<NA><NA><NA><NA><NA>
6320000032000000462022000320220207<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 ****-**서울특별시 관악구 난곡로 ***-*, *층 (신림동)8771HY DOG & CAT2022-04-28 18:10:47I2021-12-07 00:02:00.0<NA>192385.909059441927.092401<NA><NA><NA><NA><NA>
7320000032000000492022000120220123<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 **-**서울특별시 관악구 신림로**길 **, *층 (신림동)8778뽀송캣2022-04-28 18:10:47I2021-12-07 00:02:00.0<NA>193845.160851442239.81422<NA><NA><NA><NA><NA>
8320000032000000482022000220220123<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 **-**서울특별시 관악구 신림로**길 **, *층 (신림동)8778뽀송캣2022-04-28 18:10:47I2021-12-07 00:02:00.0<NA>193845.160851442239.81422<NA><NA><NA><NA><NA>
9320000032000000482021000820211102<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 관악구 신림동 ***-**서울특별시 관악구 남부순환로 ****, *층 (신림동)8762아지뜰2022-04-28 18:10:47I2021-12-07 00:02:00.0<NA>192705.427795442293.42607<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
353320000032000000372011000320110408<NA>3폐업2폐업20121101<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ****-*번지서울특별시 관악구 인헌*길 ** (봉천동)<NA>행복한동물병원2012-11-12 11:26:57I2021-12-04 22:07:00.0<NA>196911.03876441298.336127<NA><NA><NA><NA><NA>
354320000032000000372011000220110315<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-888-95560<NA>서울특별시 관악구 봉천동 ****-**번지서울특별시 관악구 쑥고개로 ** (봉천동)8786정훈넷2016-07-18 11:06:49I2021-12-04 22:07:00.0<NA>195260.41518441912.159468<NA><NA><NA><NA><NA>
355320000032000000372011000120110103<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-*번지 *층서울특별시 관악구 은천로 ** (봉천동,*층)<NA>은천동물병원2015-04-01 16:47:36I2021-12-04 22:07:00.0<NA>194396.64688442661.490899<NA><NA><NA><NA><NA>
356320000032000000372010000320101027<NA>3폐업2폐업20130607<NA><NA><NA>0287385550<NA>서울특별시 관악구 신림동 **-**번지 *층서울특별시 관악구 신림로 *** (신림동,*층)<NA>아지멍멍2014-03-12 11:02:51I2021-12-04 22:07:00.0<NA>194394.953558441518.353051<NA><NA><NA><NA><NA>
357320000032000000372010000120100615<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-**번지서울특별시 관악구 조원로 *** (신림동)<NA>러브스카이2010-06-15 18:15:11I2021-12-04 22:07:00.0<NA>192623.872294442603.92406<NA><NA><NA><NA><NA>
358320000032000000372010000220100430<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ****-*번지서울특별시 관악구 남부순환로 **** (봉천동)<NA>짱독2012-06-25 17:07:56I2021-12-04 22:07:00.0<NA>196083.028409441997.214766<NA><NA><NA><NA><NA>
359320000032000000372008000420081030<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-859-88570<NA>서울특별시 관악구 신림동 ***-*번지서울특별시 관악구 신사로**길 ** (신림동)8702비바펫2018-05-21 13:24:46I2021-12-04 22:07:00.0<NA>192538.404198442793.567868<NA><NA><NA><NA><NA>
360320000032000000372008000320080711<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-879-06820<NA>서울특별시 관악구 신림동 ****-*번지서울특별시 관악구 봉천로 *** (신림동)8707투니애견미용실2018-09-18 17:13:19U2021-12-04 22:07:00.0<NA>193493.628244443007.527849<NA><NA><NA><NA><NA>
361320000032000000372008000220080709<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-874-31320<NA>서울특별시 관악구 신림동 ***-*번지 *층서울특별시 관악구 난곡로**길 **, *층 (신림동)8856강아지풀2020-02-25 13:52:06U2021-12-04 22:07:00.0<NA>192997.563589440874.24377<NA><NA><NA><NA><NA>
362320000032000000372008000120080709<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-883-27110<NA>서울특별시 관악구 신림동서울특별시 관악구 신림로 *** (신림동)8707로얄애견2020-04-03 14:22:37U2021-12-04 22:07:00.0<NA>193567.255349442940.902181<NA><NA><NA><NA><NA>