Overview

Dataset statistics

Number of variables30
Number of observations306
Missing cells3518
Missing cells (%)38.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.1 KiB
Average record size in memory261.4 B

Variable types

Categorical8
Numeric5
Unsupported11
Text4
DateTime2

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),축산업무구분명,축산물가공업구분명,축산일련번호,권리주체일련번호,총인원
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-16596/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (93.0%)Imbalance
영업상태명 is highly imbalanced (93.0%)Imbalance
상세영업상태코드 is highly imbalanced (93.0%)Imbalance
상세영업상태명 is highly imbalanced (93.0%)Imbalance
폐업일자 is highly imbalanced (50.6%)Imbalance
소재지면적 is highly imbalanced (80.9%)Imbalance
인허가취소일자 has 306 (100.0%) missing valuesMissing
휴업시작일자 has 306 (100.0%) missing valuesMissing
휴업종료일자 has 306 (100.0%) missing valuesMissing
재개업일자 has 306 (100.0%) missing valuesMissing
전화번호 has 119 (38.9%) missing valuesMissing
소재지우편번호 has 306 (100.0%) missing valuesMissing
지번주소 has 17 (5.6%) missing valuesMissing
도로명우편번호 has 14 (4.6%) missing valuesMissing
업태구분명 has 306 (100.0%) missing valuesMissing
축산업무구분명 has 306 (100.0%) missing valuesMissing
축산물가공업구분명 has 306 (100.0%) missing valuesMissing
축산일련번호 has 306 (100.0%) missing valuesMissing
권리주체일련번호 has 306 (100.0%) missing valuesMissing
총인원 has 306 (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 started2024-04-06 11:11:02.047958
Analysis finished2024-04-06 11:11:02.815684
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
3050000
306 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3050000
2nd row3050000
3rd row3050000
4th row3050000
5th row3050000

Common Values

ValueCountFrequency (%)
3050000 306
100.0%

Length

2024-04-06T20:11:02.977757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:11:03.155534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3050000 306
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.05 × 1017
Minimum3.05 × 1017
Maximum3.0500001 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:11:03.341646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.05 × 1017
5-th percentile3.05 × 1017
Q13.05 × 1017
median3.05 × 1017
Q33.05 × 1017
95-th percentile3.05 × 1017
Maximum3.0500001 × 1017
Range1.30014 × 109
Interquartile range (IQR)1.1000275 × 109

Descriptive statistics

Standard deviation5.5014302 × 108
Coefficient of variation (CV)1.8037476 × 10-9
Kurtosis-1.8651105
Mean3.05 × 1017
Median Absolute Deviation (MAD)5.0014003 × 108
Skewness0.11894387
Sum1.0962809 × 1018
Variance3.0265734 × 1017
MonotonicityNot monotonic
2024-04-06T20:11:03.595047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
305000003720220006 1
 
0.3%
305000003720190016 1
 
0.3%
305000003720190009 1
 
0.3%
305000003720190010 1
 
0.3%
305000003720190012 1
 
0.3%
305000003720190011 1
 
0.3%
305000003720190013 1
 
0.3%
305000003720190014 1
 
0.3%
305000003720190015 1
 
0.3%
305000003720190018 1
 
0.3%
Other values (296) 296
96.7%
ValueCountFrequency (%)
305000003720080001 1
0.3%
305000003720080003 1
0.3%
305000003720080004 1
0.3%
305000003720080005 1
0.3%
305000003720080006 1
0.3%
305000003720090001 1
0.3%
305000003720090002 1
0.3%
305000003720090003 1
0.3%
305000003720110001 1
0.3%
305000003720110002 1
0.3%
ValueCountFrequency (%)
305000005020220003 1
0.3%
305000005020220002 1
0.3%
305000005020220001 1
0.3%
305000005020190013 1
0.3%
305000005020190008 1
0.3%
305000005020180067 1
0.3%
305000005020180062 1
0.3%
305000005020180051 1
0.3%
305000004920220008 1
0.3%
305000004920220007 1
0.3%

인허가일자
Real number (ℝ)

Distinct93
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20177703
Minimum20080716
Maximum20220629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:11:03.830806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080716
5-th percentile20095946
Q120180425
median20180907
Q320190917
95-th percentile20217946
Maximum20220629
Range139913
Interquartile range (IQR)10492

Descriptive statistics

Standard deviation29668.158
Coefficient of variation (CV)0.0014703437
Kurtosis3.2678483
Mean20177703
Median Absolute Deviation (MAD)9502
Skewness-1.7164306
Sum6.1743772 × 109
Variance8.8019959 × 108
MonotonicityNot monotonic
2024-04-06T20:11:04.066738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180730 16
 
5.2%
20180830 12
 
3.9%
20180425 12
 
3.9%
20181005 12
 
3.9%
20180814 10
 
3.3%
20180917 8
 
2.6%
20190226 8
 
2.6%
20180803 8
 
2.6%
20181112 6
 
2.0%
20180906 6
 
2.0%
Other values (83) 208
68.0%
ValueCountFrequency (%)
20080716 6
2.0%
20080820 2
 
0.7%
20080910 2
 
0.7%
20090312 2
 
0.7%
20091014 2
 
0.7%
20091026 2
 
0.7%
20110704 2
 
0.7%
20111125 2
 
0.7%
20120201 2
 
0.7%
20130117 2
 
0.7%
ValueCountFrequency (%)
20220629 1
 
0.3%
20220614 1
 
0.3%
20220607 1
 
0.3%
20220603 1
 
0.3%
20220414 4
1.3%
20220329 2
0.7%
20220314 2
0.7%
20220225 2
0.7%
20220223 2
0.7%
20211117 2
0.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
4
302 
1
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
4 302
98.7%
1 3
 
1.0%
3 1
 
0.3%

Length

2024-04-06T20:11:04.292588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:11:04.448866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 302
98.7%
1 3
 
1.0%
3 1
 
0.3%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
취소/말소/만료/정지/중지
302 
영업/정상
 
3
폐업
 
1

Length

Max length14
Median length14
Mean length13.872549
Min length2

Unique

Unique1 ?
Unique (%)0.3%

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 302
98.7%
영업/정상 3
 
1.0%
폐업 1
 
0.3%

Length

2024-04-06T20:11:04.655219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:11:04.835098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
취소/말소/만료/정지/중지 302
98.7%
영업/정상 3
 
1.0%
폐업 1
 
0.3%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
4
302 
0
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
4 302
98.7%
0 3
 
1.0%
2 1
 
0.3%

Length

2024-04-06T20:11:05.018676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:11:05.206753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 302
98.7%
0 3
 
1.0%
2 1
 
0.3%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
말소
302 
정상
 
3
폐업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
말소 302
98.7%
정상 3
 
1.0%
폐업 1
 
0.3%

Length

2024-04-06T20:11:05.380099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:11:05.549930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
말소 302
98.7%
정상 3
 
1.0%
폐업 1
 
0.3%

폐업일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
20220701
154 
20220526
146 
<NA>
 
3
20220428
 
2
20200423
 
1

Length

Max length8
Median length8
Mean length7.9607843
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
20220701 154
50.3%
20220526 146
47.7%
<NA> 3
 
1.0%
20220428 2
 
0.7%
20200423 1
 
0.3%

Length

2024-04-06T20:11:05.756353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:11:05.943715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20220701 154
50.3%
20220526 146
47.7%
na 3
 
1.0%
20220428 2
 
0.7%
20200423 1
 
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

전화번호
Text

MISSING 

Distinct59
Distinct (%)31.6%
Missing119
Missing (%)38.9%
Memory size2.5 KiB
2024-04-06T20:11:06.241678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.73262
Min length9

Characters and Unicode

Total characters2194
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

Unique2 ?
Unique (%)1.1%

Sample

1st row0222460010
2nd row02-3394-8542
3rd row02-3394-7075
4th row02-968-1080
5th row02-2249-6444
ValueCountFrequency (%)
02-963-1676 8
 
4.3%
02-3394-5705 8
 
4.3%
02-3295-3927 6
 
3.2%
02-2242-2249 6
 
3.2%
02-3394-8588 6
 
3.2%
02-967-7900 6
 
3.2%
02-2213-0075 6
 
3.2%
02-2217-8930 4
 
2.1%
02-2244-1081 4
 
2.1%
02-2244-6262 4
 
2.1%
Other values (49) 129
69.0%
2024-04-06T20:11:06.903604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 507
23.1%
- 368
16.8%
0 305
13.9%
5 159
 
7.2%
9 153
 
7.0%
7 146
 
6.7%
3 137
 
6.2%
4 132
 
6.0%
1 108
 
4.9%
6 104
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1826
83.2%
Dash Punctuation 368
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 507
27.8%
0 305
16.7%
5 159
 
8.7%
9 153
 
8.4%
7 146
 
8.0%
3 137
 
7.5%
4 132
 
7.2%
1 108
 
5.9%
6 104
 
5.7%
8 75
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2194
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 507
23.1%
- 368
16.8%
0 305
13.9%
5 159
 
7.2%
9 153
 
7.0%
7 146
 
6.7%
3 137
 
6.2%
4 132
 
6.0%
1 108
 
4.9%
6 104
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 507
23.1%
- 368
16.8%
0 305
13.9%
5 159
 
7.2%
9 153
 
7.0%
7 146
 
6.7%
3 137
 
6.2%
4 132
 
6.0%
1 108
 
4.9%
6 104
 
4.7%

소재지면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
0
297 
<NA>
 
9

Length

Max length4
Median length1
Mean length1.0882353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
0 297
97.1%
<NA> 9
 
2.9%

Length

2024-04-06T20:11:07.195068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:11:07.391412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 297
97.1%
na 9
 
2.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

지번주소
Text

MISSING 

Distinct101
Distinct (%)34.9%
Missing17
Missing (%)5.6%
Memory size2.5 KiB
2024-04-06T20:11:07.711551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length23.020761
Min length18

Characters and Unicode

Total characters6653
Distinct characters102
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)15.6%

Sample

1st row서울특별시 동대문구 장안동 ***-**
2nd row서울특별시 동대문구 용두동 ***-** 청계 한양아이클래스
3rd row서울특별시 동대문구 제기동 ***-**
4th row서울특별시 동대문구 답십리동 ***-*
5th row서울특별시 동대문구 장안동 ***-*
ValueCountFrequency (%)
서울특별시 289
23.3%
동대문구 287
23.1%
179
14.4%
번지 110
 
8.9%
장안동 108
 
8.7%
답십리동 55
 
4.4%
이문동 36
 
2.9%
휘경동 28
 
2.3%
전농동 27
 
2.2%
용두동 13
 
1.0%
Other values (35) 110
 
8.9%
2024-04-06T20:11:08.350821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1259
18.9%
953
14.3%
동 588
 
8.8%
문 325
 
4.9%
대 307
 
4.6%
시 297
 
4.5%
구 289
 
4.3%
서 289
 
4.3%
별 289
 
4.3%
특 289
 
4.3%
Other values (92) 1768
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4184
62.9%
Other Punctuation 1259
 
18.9%
Space Separator 953
 
14.3%
Dash Punctuation 253
 
3.8%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 588
14.1%
문 325
 
7.8%
대 307
 
7.3%
시 297
 
7.1%
구 289
 
6.9%
서 289
 
6.9%
별 289
 
6.9%
특 289
 
6.9%
울 289
 
6.9%
장 120
 
2.9%
Other values (87) 1102
26.3%
Other Punctuation
ValueCountFrequency (%)
* 1259
100.0%
Space Separator
ValueCountFrequency (%)
953
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4184
62.9%
Common 2469
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 588
14.1%
문 325
 
7.8%
대 307
 
7.3%
시 297
 
7.1%
구 289
 
6.9%
서 289
 
6.9%
별 289
 
6.9%
특 289
 
6.9%
울 289
 
6.9%
장 120
 
2.9%
Other values (87) 1102
26.3%
Common
ValueCountFrequency (%)
* 1259
51.0%
953
38.6%
- 253
 
10.2%
) 2
 
0.1%
( 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4184
62.9%
ASCII 2469
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1259
51.0%
953
38.6%
- 253
 
10.2%
) 2
 
0.1%
( 2
 
0.1%
Hangul
ValueCountFrequency (%)
동 588
14.1%
문 325
 
7.8%
대 307
 
7.3%
시 297
 
7.1%
구 289
 
6.9%
서 289
 
6.9%
별 289
 
6.9%
특 289
 
6.9%
울 289
 
6.9%
장 120
 
2.9%
Other values (87) 1102
26.3%

도로명주소
Text

Distinct101
Distinct (%)33.2%
Missing2
Missing (%)0.7%
Memory size2.5 KiB
2024-04-06T20:11:08.802451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length30.779605
Min length23

Characters and Unicode

Total characters9357
Distinct characters134
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)2.6%

Sample

1st row서울특별시 동대문구 장한로**길 **(장안동)
2nd row서울특별시 동대문구 청계천로 ***, 청계 한양아이클래스 *층 ***호 (용두동)
3rd row서울특별시 동대문구 정릉천동로 ***, 테디오피스텔 ***호 (제기동)
4th row서울특별시 동대문구 전농로 **, *층 (답십리동)
5th row서울특별시 동대문구 장한로 ***, 우성포커스텔 ***호 (장안동)
ValueCountFrequency (%)
서울특별시 304
16.7%
동대문구 302
16.6%
290
15.9%
층 149
 
8.2%
장안동 108
 
5.9%
답십리동 66
 
3.6%
호 59
 
3.2%
이문동 40
 
2.2%
휘경동 30
 
1.6%
전농로 28
 
1.5%
Other values (81) 447
24.5%
2024-04-06T20:11:09.421067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1519
16.2%
* 1308
 
14.0%
동 657
 
7.0%
문 360
 
3.8%
대 356
 
3.8%
시 314
 
3.4%
서 306
 
3.3%
( 306
 
3.3%
울 306
 
3.3%
) 306
 
3.3%
Other values (124) 3619
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5647
60.4%
Other Punctuation 1526
 
16.3%
Space Separator 1519
 
16.2%
Open Punctuation 306
 
3.3%
Close Punctuation 306
 
3.3%
Dash Punctuation 53
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 657
 
11.6%
문 360
 
6.4%
대 356
 
6.3%
시 314
 
5.6%
서 306
 
5.4%
울 306
 
5.4%
특 304
 
5.4%
별 304
 
5.4%
구 304
 
5.4%
로 304
 
5.4%
Other values (118) 2132
37.8%
Other Punctuation
ValueCountFrequency (%)
* 1308
85.7%
, 218
 
14.3%
Space Separator
ValueCountFrequency (%)
1519
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Close Punctuation
ValueCountFrequency (%)
) 306
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5647
60.4%
Common 3710
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 657
 
11.6%
문 360
 
6.4%
대 356
 
6.3%
시 314
 
5.6%
서 306
 
5.4%
울 306
 
5.4%
특 304
 
5.4%
별 304
 
5.4%
구 304
 
5.4%
로 304
 
5.4%
Other values (118) 2132
37.8%
Common
ValueCountFrequency (%)
1519
40.9%
* 1308
35.3%
( 306
 
8.2%
) 306
 
8.2%
, 218
 
5.9%
- 53
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5647
60.4%
ASCII 3710
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1519
40.9%
* 1308
35.3%
( 306
 
8.2%
) 306
 
8.2%
, 218
 
5.9%
- 53
 
1.4%
Hangul
ValueCountFrequency (%)
동 657
 
11.6%
문 360
 
6.4%
대 356
 
6.3%
시 314
 
5.6%
서 306
 
5.4%
울 306
 
5.4%
특 304
 
5.4%
별 304
 
5.4%
구 304
 
5.4%
로 304
 
5.4%
Other values (118) 2132
37.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)26.4%
Missing14
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean2541.6747
Minimum1457
Maximum2643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:11:09.655129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1457
5-th percentile2425
Q12496
median2551.5
Q32615
95-th percentile2641
Maximum2643
Range1186
Interquartile range (IQR)119

Descriptive statistics

Standard deviation115.43931
Coefficient of variation (CV)0.045418602
Kurtosis51.93725
Mean2541.6747
Median Absolute Deviation (MAD)57
Skewness-5.758178
Sum742169
Variance13326.234
MonotonicityNot monotonic
2024-04-06T20:11:09.905343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2625 17
 
5.6%
2522 12
 
3.9%
2643 8
 
2.6%
2637 8
 
2.6%
2427 8
 
2.6%
2432 8
 
2.6%
2484 8
 
2.6%
2496 8
 
2.6%
2425 8
 
2.6%
2540 8
 
2.6%
Other values (67) 199
65.0%
(Missing) 14
 
4.6%
ValueCountFrequency (%)
1457 2
 
0.7%
2401 2
 
0.7%
2406 2
 
0.7%
2418 4
1.3%
2422 2
 
0.7%
2424 1
 
0.3%
2425 8
2.6%
2426 1
 
0.3%
2427 8
2.6%
2432 8
2.6%
ValueCountFrequency (%)
2643 8
2.6%
2642 4
1.3%
2641 4
1.3%
2640 4
1.3%
2637 8
2.6%
2636 4
1.3%
2634 2
 
0.7%
2632 2
 
0.7%
2631 4
1.3%
2630 2
 
0.7%

사업장명
Text

Distinct113
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2024-04-06T20:11:10.399345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length6.3300654
Min length2

Characters and Unicode

Total characters1937
Distinct characters220
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

Unique8 ?
Unique (%)2.6%

Sample

1st row정말귀엽개
2nd row모이
3rd rowpet 저 3258
4th row까네지노
5th rowpet 42구 6951
ValueCountFrequency (%)
동물병원 56
 
12.5%
동물의료센터 10
 
2.2%
사랑해줄개 8
 
1.8%
사랑 8
 
1.8%
둥글개 8
 
1.8%
도도한 8
 
1.8%
나도그냥(ts 7
 
1.6%
미니 6
 
1.3%
도그 6
 
1.3%
하우스 6
 
1.3%
Other values (126) 326
72.6%
2024-04-06T20:11:11.144219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
 
7.4%
동 101
 
5.2%
물 95
 
4.9%
원 85
 
4.4%
병 79
 
4.1%
펫 54
 
2.8%
개 44
 
2.3%
스 37
 
1.9%
그 37
 
1.9%
아 36
 
1.9%
Other values (210) 1226
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1630
84.2%
Space Separator 143
 
7.4%
Lowercase Letter 44
 
2.3%
Uppercase Letter 32
 
1.7%
Open Punctuation 29
 
1.5%
Close Punctuation 29
 
1.5%
Decimal Number 22
 
1.1%
Other Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 101
 
6.2%
물 95
 
5.8%
원 85
 
5.2%
병 79
 
4.8%
펫 54
 
3.3%
개 44
 
2.7%
스 37
 
2.3%
그 37
 
2.3%
아 36
 
2.2%
도 35
 
2.1%
Other values (179) 1027
63.0%
Uppercase Letter
ValueCountFrequency (%)
P 8
25.0%
D 6
18.8%
T 4
12.5%
E 4
12.5%
I 2
 
6.2%
O 2
 
6.2%
V 2
 
6.2%
G 2
 
6.2%
Y 2
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
t 13
29.5%
e 8
18.2%
s 7
15.9%
p 4
 
9.1%
o 4
 
9.1%
r 4
 
9.1%
m 2
 
4.5%
u 2
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 9
40.9%
9 5
22.7%
5 2
 
9.1%
2 2
 
9.1%
4 1
 
4.5%
6 1
 
4.5%
3 1
 
4.5%
8 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
# 2
25.0%
& 2
25.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1630
84.2%
Common 231
 
11.9%
Latin 76
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 101
 
6.2%
물 95
 
5.8%
원 85
 
5.2%
병 79
 
4.8%
펫 54
 
3.3%
개 44
 
2.7%
스 37
 
2.3%
그 37
 
2.3%
아 36
 
2.2%
도 35
 
2.1%
Other values (179) 1027
63.0%
Latin
ValueCountFrequency (%)
t 13
17.1%
e 8
10.5%
P 8
10.5%
s 7
9.2%
D 6
7.9%
p 4
 
5.3%
T 4
 
5.3%
E 4
 
5.3%
o 4
 
5.3%
r 4
 
5.3%
Other values (7) 14
18.4%
Common
ValueCountFrequency (%)
143
61.9%
( 29
 
12.6%
) 29
 
12.6%
1 9
 
3.9%
9 5
 
2.2%
, 4
 
1.7%
5 2
 
0.9%
# 2
 
0.9%
2 2
 
0.9%
& 2
 
0.9%
Other values (4) 4
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1630
84.2%
ASCII 307
 
15.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
46.6%
( 29
 
9.4%
) 29
 
9.4%
t 13
 
4.2%
1 9
 
2.9%
e 8
 
2.6%
P 8
 
2.6%
s 7
 
2.3%
D 6
 
2.0%
9 5
 
1.6%
Other values (21) 50
 
16.3%
Hangul
ValueCountFrequency (%)
동 101
 
6.2%
물 95
 
5.8%
원 85
 
5.2%
병 79
 
4.8%
펫 54
 
3.3%
개 44
 
2.7%
스 37
 
2.3%
그 37
 
2.3%
아 36
 
2.2%
도 35
 
2.1%
Other values (179) 1027
63.0%

최종수정일자
Date

Distinct161
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2011-12-09 15:59:07
Maximum2022-07-11 16:16:23
2024-04-06T20:11:11.376211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:11:11.622476image/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 size2.5 KiB
I
229 
U
77 

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 229
74.8%
U 77
 
25.2%

Length

2024-04-06T20:11:11.832218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:11:12.017739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 229
74.8%
u 77
 
25.2%

데이터갱신일자
Date

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2021-12-04 22:07:00
Maximum2021-12-07 00:02:00
2024-04-06T20:11:12.174462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:11:12.308359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

좌표정보(X)
Real number (ℝ)

Distinct104
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205258.48
Minimum202042.82
Maximum206483.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:11:12.887152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202042.82
5-th percentile203271.57
Q1204869.69
median205471.36
Q3205971.35
95-th percentile206455.71
Maximum206483.56
Range4440.7382
Interquartile range (IQR)1101.6611

Descriptive statistics

Standard deviation963.77428
Coefficient of variation (CV)0.0046954175
Kurtosis0.55313584
Mean205258.48
Median Absolute Deviation (MAD)532.0827
Skewness-1.0242447
Sum62809096
Variance928860.86
MonotonicityNot monotonic
2024-04-06T20:11:13.151176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204991.379210797 8
 
2.6%
205893.812112966 8
 
2.6%
205657.071206262 8
 
2.6%
205952.506670626 7
 
2.3%
206034.029037379 6
 
2.0%
206009.495097994 6
 
2.0%
206455.710665332 6
 
2.0%
206457.111914613 6
 
2.0%
205883.994796584 6
 
2.0%
205258.911999431 5
 
1.6%
Other values (94) 240
78.4%
ValueCountFrequency (%)
202042.817335648 2
0.7%
202443.646853331 1
 
0.3%
202609.213955413 2
0.7%
202719.456602603 2
0.7%
203085.866786086 2
0.7%
203138.445969926 1
 
0.3%
203261.116619432 2
0.7%
203267.783017345 1
 
0.3%
203271.574528007 4
1.3%
203354.754902083 2
0.7%
ValueCountFrequency (%)
206483.555525111 4
1.3%
206471.128872298 2
 
0.7%
206457.111914613 6
2.0%
206455.710665332 6
2.0%
206453.980260918 4
1.3%
206428.347543061 2
 
0.7%
206384.176300093 4
1.3%
206355.646684427 2
 
0.7%
206325.349431713 2
 
0.7%
206255.326876991 4
1.3%

좌표정보(Y)
Real number (ℝ)

Distinct104
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452857.92
Minimum451151.05
Maximum460309.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2024-04-06T20:11:13.387368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451151.05
5-th percentile451427.41
Q1451955.87
median452475.42
Q3453587.71
95-th percentile455132.39
Maximum460309.39
Range9158.3384
Interquartile range (IQR)1631.8337

Descriptive statistics

Standard deviation1292.8469
Coefficient of variation (CV)0.0028548621
Kurtosis5.9086805
Mean452857.92
Median Absolute Deviation (MAD)668.57124
Skewness1.7516913
Sum1.3857452 × 108
Variance1671453.2
MonotonicityNot monotonic
2024-04-06T20:11:13.642075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452363.968760743 8
 
2.6%
455132.394753402 8
 
2.6%
454519.340081307 8
 
2.6%
451814.915620366 7
 
2.3%
453340.079362889 6
 
2.0%
451806.846262685 6
 
2.0%
452564.893433551 6
 
2.0%
452587.260320131 6
 
2.0%
451422.978298566 6
 
2.0%
452267.221277907 5
 
1.6%
Other values (94) 240
78.4%
ValueCountFrequency (%)
451151.053460804 2
 
0.7%
451185.245057884 2
 
0.7%
451248.504781763 2
 
0.7%
451358.894756966 2
 
0.7%
451422.978298566 6
2.0%
451427.413843887 4
1.3%
451501.980529351 2
 
0.7%
451505.246048535 2
 
0.7%
451594.33252299 4
1.3%
451595.719707238 4
1.3%
ValueCountFrequency (%)
460309.391832996 2
 
0.7%
455837.203330575 2
 
0.7%
455653.791303608 2
 
0.7%
455502.417365944 2
 
0.7%
455303.197267437 1
 
0.3%
455132.394753402 8
2.6%
455131.683241064 4
1.3%
454982.094981695 1
 
0.3%
454840.55319131 4
1.3%
454779.715425813 2
 
0.7%

축산업무구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

권리주체일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing306
Missing (%)100.0%
Memory size2.8 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0305000030500000372022000620220414<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02224600100<NA>서울특별시 동대문구 장안동 ***-**서울특별시 동대문구 장한로**길 **(장안동)2624정말귀엽개2022-04-14 10:50:08I2021-12-04 22:07:00.0<NA>206003.438141451999.257497<NA><NA><NA><NA><NA>
1305000030500000492022000720220607<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 동대문구 용두동 ***-** 청계 한양아이클래스서울특별시 동대문구 청계천로 ***, 청계 한양아이클래스 *층 ***호 (용두동)2587모이2022-06-07 15:55:53I2021-12-07 00:02:00.0<NA>202443.646853452049.159239<NA><NA><NA><NA><NA>
2305000030500000502022000220220603<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 동대문구 제기동 ***-**서울특별시 동대문구 정릉천동로 ***, 테디오피스텔 ***호 (제기동)2478pet 저 32582022-06-03 10:25:10I2021-12-07 00:02:00.0<NA>203138.44597453440.381367<NA><NA><NA><NA><NA>
3305000030500000482018004820180917<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-3394-85420<NA>서울특별시 동대문구 답십리동 ***-*서울특별시 동대문구 전농로 **, *층 (답십리동)2600까네지노2022-04-28 18:10:50I2021-12-07 00:02:00.0<NA>204953.743402451837.8011<NA><NA><NA><NA><NA>
4305000030500000502022000320220629<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 장안동 ***-*서울특별시 동대문구 장한로 ***, 우성포커스텔 ***호 (장안동)2528pet 42구 69512022-06-29 17:40:15I2021-12-07 00:02:00.0<NA>206244.551036452354.914066<NA><NA><NA><NA><NA>
5305000030500000492020000420200326<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 동대문구 장안동 ***-** 이제이빌딩서울특별시 동대문구 답십리로**길 **, 이제이빌딩 *층 (장안동)2522어디개2022-06-28 13:48:30U2021-12-07 00:02:00.0<NA>206457.111915452587.26032<NA><NA><NA><NA><NA>
6305000030500000492022000820220614<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA>02-3394-70750<NA>서울특별시 동대문구 답십리동 *-***서울특별시 동대문구 답십리로 ***-*, 지하*층 (답십리동)2610땅콩동물병원2022-06-14 17:47:58I2021-12-07 00:02:00.0<NA>205696.046347452256.6485<NA><NA><NA><NA><NA>
7305000030500000492022000420220329<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 동대문구 이문동 ***-**서울특별시 동대문구 이문로 ***-*(이문동)2406하이조이2022-04-28 18:10:51I2021-12-07 00:02:00.0<NA>205446.064877455837.203331<NA><NA><NA><NA><NA>
8305000030500000452022000320220314<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 동대문구 신설동 ***-** 청계천 대성 스카이렉스*서울특별시 동대문구 청계천로 ***(신설동, 청계천 대성 스카이렉스*)2586아미몽2022-04-28 18:10:51I2021-12-07 00:02:00.0<NA>202042.817336452190.100422<NA><NA><NA><NA><NA>
9305000030500000482022000220220225<NA>4취소/말소/만료/정지/중지4말소20220701<NA><NA><NA><NA>0<NA>서울특별시 동대문구 제기동 **** 경동시장서울특별시 동대문구 고산자로**길 *, 경동시장 *층 (제기동)2571도그어스플래닛2022-04-28 18:10:51I2021-12-07 00:02:00.0<NA>203403.019535452985.72542<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
296305000030500000372011000220111125<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-3295-39270<NA>서울특별시 동대문구 용두동 **-*번지서울특별시 동대문구 고산자로 ***-* (용두동)<NA>엘동물병원2015-11-09 10:48:19I2021-12-04 22:07:00.0<NA>203261.116619452486.964467<NA><NA><NA><NA><NA>
297305000030500000372011000120110704<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA><NA><NA>서울특별시 동대문구 전농동 *-**번지서울특별시 동대문구 한천로 *** (답십리동)<NA>펫아트만2018-09-07 16:25:46U2021-12-04 22:07:00.0<NA>205949.037836453092.489143<NA><NA><NA><NA><NA>
298305000030500000372009000320091026<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA><NA>0<NA>서울특별시 동대문구 장안동 ***-*번지서울특별시 동대문구 장한로*길 ** (장안동)2632뉴욕펫2018-11-13 15:19:10U2021-12-04 22:07:00.0<NA>205467.952408451505.246049<NA><NA><NA><NA><NA>
299305000030500000372009000220091014<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-3394-5705<NA><NA>서울특별시 동대문구 장안동 ***-*번지서울특별시 동대문구 장한로**길 * (장안동)<NA>퍼피스쿨2011-12-09 16:00:11I2021-12-04 22:07:00.0<NA>206070.526126451962.556336<NA><NA><NA><NA><NA>
300305000030500000372009000120090312<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-2242-0079<NA><NA>서울특별시 동대문구 장안동 ***-*번지서울특별시 동대문구 한천로 ***-* (장안동)<NA>주주퍼피2011-12-09 15:59:07I2021-12-04 22:07:00.0<NA>205924.795766452797.871043<NA><NA><NA><NA><NA>
301305000030500000372008000620080910<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-965-81810<NA>서울특별시 동대문구 이문동 ***-***번지서울특별시 동대문구 이문로 *** (이문동)2401이문애견2018-11-12 16:31:57U2021-12-04 22:07:00.0<NA>205395.981862455502.417366<NA><NA><NA><NA><NA>
302305000030500000372008000520080820<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-2216-29580<NA><NA>서울특별시 동대문구 답십리로 ** (전농동)2591퍼피스2018-11-12 16:26:57U2021-12-04 22:07:00.0<NA>203991.791405452696.677573<NA><NA><NA><NA><NA>
303305000030500000372008000120080716<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-968-1080<NA><NA>서울특별시 동대문구 회기동 ***-**번지<NA><NA>해피애견2016-11-03 17:27:24I2021-12-04 22:07:00.0<NA>204922.45278454316.561665<NA><NA><NA><NA><NA>
304305000030500000372008000420080716<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-2213-90940<NA>서울특별시 동대문구 휘경동 ***-**번지서울특별시 동대문구 망우로 ** (휘경동)2496강아지를사랑하는이들2018-11-12 16:26:07U2021-12-04 22:07:00.0<NA>205348.925813454143.207303<NA><NA><NA><NA><NA>
305305000030500000372008000320080716<NA>4취소/말소/만료/정지/중지4말소20220526<NA><NA><NA>02-2115-19600<NA>서울특별시 동대문구 장안동 ***-*번지서울특별시 동대문구 답십리로 *** (답십리동)<NA>쿨펫동물병원2018-06-19 16:35:52I2021-12-04 22:07:00.0<NA>206325.349432452184.210161<NA><NA><NA><NA><NA>