Overview

Dataset statistics

Number of variables30
Number of observations64
Missing cells618
Missing cells (%)32.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory259.1 B

Variable types

Categorical9
Numeric5
DateTime4
Unsupported8
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-16497/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (60.4%)Imbalance
인허가취소일자 has 64 (100.0%) missing valuesMissing
폐업일자 has 31 (48.4%) missing valuesMissing
휴업시작일자 has 64 (100.0%) missing valuesMissing
휴업종료일자 has 64 (100.0%) missing valuesMissing
재개업일자 has 64 (100.0%) missing valuesMissing
전화번호 has 5 (7.8%) missing valuesMissing
소재지면적 has 5 (7.8%) missing valuesMissing
소재지우편번호 has 64 (100.0%) missing valuesMissing
도로명주소 has 14 (21.9%) missing valuesMissing
도로명우편번호 has 23 (35.9%) missing valuesMissing
업태구분명 has 64 (100.0%) missing valuesMissing
좌표정보(X) has 14 (21.9%) missing valuesMissing
좌표정보(Y) has 14 (21.9%) missing valuesMissing
축산물가공업구분명 has 64 (100.0%) missing valuesMissing
축산일련번호 has 64 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 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
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
소재지면적 has 38 (59.4%) zerosZeros

Reproduction

Analysis started2024-04-29 19:03:12.309267
Analysis finished2024-04-29 19:03:12.976609
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
3060000
64 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 64
100.0%

Length

2024-04-30T04:03:13.036846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:13.129607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 64
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.06 × 1017
Minimum3.06 × 1017
Maximum3.06 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-30T04:03:13.213189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.06 × 1017
5-th percentile3.06 × 1017
Q13.06 × 1017
median3.06 × 1017
Q33.06 × 1017
95-th percentile3.06 × 1017
Maximum3.06 × 1017
Range330001
Interquartile range (IQR)120000

Descriptive statistics

Standard deviation85596.106
Coefficient of variation (CV)2.7972583 × 10-13
Kurtosis-0.62974123
Mean3.06 × 1017
Median Absolute Deviation (MAD)50016
Skewness0.40233277
Sum1.137256 × 1018
Variance7.3266933 × 109
MonotonicityStrictly increasing
2024-04-30T04:03:13.334098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
306000001019910001 1
 
1.6%
306000001020060003 1
 
1.6%
306000001020060005 1
 
1.6%
306000001020060006 1
 
1.6%
306000001020060007 1
 
1.6%
306000001020070001 1
 
1.6%
306000001020070002 1
 
1.6%
306000001020080001 1
 
1.6%
306000001020080002 1
 
1.6%
306000001020090001 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
306000001019910001 1
1.6%
306000001019920001 1
1.6%
306000001019940001 1
1.6%
306000001019950001 1
1.6%
306000001019960001 1
1.6%
306000001019960002 1
1.6%
306000001019970001 1
1.6%
306000001019980001 1
1.6%
306000001020000001 1
1.6%
306000001020000002 1
1.6%
ValueCountFrequency (%)
306000001020240002 1
1.6%
306000001020240001 1
1.6%
306000001020230003 1
1.6%
306000001020230002 1
1.6%
306000001020230001 1
1.6%
306000001020210002 1
1.6%
306000001020210001 1
1.6%
306000001020200002 1
1.6%
306000001020200001 1
1.6%
306000001020190002 1
1.6%

인허가일자
Date

Distinct60
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum1991-11-30 00:00:00
Maximum2024-04-05 00:00:00
2024-04-30T04:03:13.458208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:03:13.564679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
3
33 
1
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
3 33
51.6%
1 31
48.4%

Length

2024-04-30T04:03:13.662597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:13.749557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 33
51.6%
1 31
48.4%

영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
폐업
33 
영업/정상
31 

Length

Max length5
Median length2
Mean length3.453125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row폐업
3rd row폐업
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
폐업 33
51.6%
영업/정상 31
48.4%

Length

2024-04-30T04:03:13.844020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:13.928013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
51.6%
영업/정상 31
48.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
2
33 
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row2
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
2 33
51.6%
0 31
48.4%

Length

2024-04-30T04:03:14.013700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:14.091757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 33
51.6%
0 31
48.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
폐업
33 
정상
31 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 33
51.6%
정상 31
48.4%

Length

2024-04-30T04:03:14.177179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:14.288075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
51.6%
정상 31
48.4%

폐업일자
Date

MISSING 

Distinct32
Distinct (%)97.0%
Missing31
Missing (%)48.4%
Memory size644.0 B
Minimum2003-10-06 00:00:00
Maximum2024-01-02 00:00:00
2024-04-30T04:03:14.370569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:03:14.475463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

전화번호
Text

MISSING 

Distinct50
Distinct (%)84.7%
Missing5
Missing (%)7.8%
Memory size644.0 B
2024-04-30T04:03:14.681305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.2881356
Min length8

Characters and Unicode

Total characters548
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)78.0%

Sample

1st row973-1953
2nd row439-8300
3rd row433-0787
4th row434-5465
5th row435-0166
ValueCountFrequency (%)
2208-7540 5
 
8.5%
2207-9181 4
 
6.8%
2207-9931 2
 
3.4%
2208-7533 2
 
3.4%
02-494-7775 1
 
1.7%
973-1953 1
 
1.7%
02-2207-9181 1
 
1.7%
437-7579 1
 
1.7%
0234220977 1
 
1.7%
2208-6788 1
 
1.7%
Other values (40) 40
67.8%
2024-04-30T04:03:14.991057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 78
14.2%
2 76
13.9%
- 72
13.1%
7 59
10.8%
3 58
10.6%
4 57
10.4%
5 36
6.6%
9 36
6.6%
8 34
6.2%
1 27
 
4.9%
Other values (2) 15
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 475
86.7%
Dash Punctuation 72
 
13.1%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 78
16.4%
2 76
16.0%
7 59
12.4%
3 58
12.2%
4 57
12.0%
5 36
7.6%
9 36
7.6%
8 34
7.2%
1 27
 
5.7%
6 14
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 548
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 78
14.2%
2 76
13.9%
- 72
13.1%
7 59
10.8%
3 58
10.6%
4 57
10.4%
5 36
6.6%
9 36
6.6%
8 34
6.2%
1 27
 
4.9%
Other values (2) 15
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 548
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 78
14.2%
2 76
13.9%
- 72
13.1%
7 59
10.8%
3 58
10.6%
4 57
10.4%
5 36
6.6%
9 36
6.6%
8 34
6.2%
1 27
 
4.9%
Other values (2) 15
 
2.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)33.9%
Missing5
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean48.538814
Minimum0
Maximum602.02
Zeros38
Zeros (%)59.4%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-30T04:03:15.113260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q345.94
95-th percentile219.584
Maximum602.02
Range602.02
Interquartile range (IQR)45.94

Descriptive statistics

Standard deviation113.73085
Coefficient of variation (CV)2.3430908
Kurtosis12.83599
Mean48.538814
Median Absolute Deviation (MAD)0
Skewness3.4857239
Sum2863.79
Variance12934.705
MonotonicityNot monotonic
2024-04-30T04:03:15.201352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 38
59.4%
40.5 2
 
3.1%
56.0 2
 
3.1%
413.84 1
 
1.6%
84.4 1
 
1.6%
42.9 1
 
1.6%
60.0 1
 
1.6%
602.02 1
 
1.6%
455.22 1
 
1.6%
146.0 1
 
1.6%
Other values (10) 10
 
15.6%
(Missing) 5
 
7.8%
ValueCountFrequency (%)
0.0 38
59.4%
28.61 1
 
1.6%
32.0 1
 
1.6%
33.12 1
 
1.6%
40.5 2
 
3.1%
42.9 1
 
1.6%
48.98 1
 
1.6%
56.0 2
 
3.1%
60.0 1
 
1.6%
65.32 1
 
1.6%
ValueCountFrequency (%)
602.02 1
1.6%
455.22 1
1.6%
413.84 1
1.6%
198.0 1
1.6%
153.5 1
1.6%
146.0 1
1.6%
128.48 1
1.6%
95.4 1
1.6%
84.4 1
1.6%
83.0 1
1.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

지번주소
Text

Distinct51
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-04-30T04:03:15.405684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length23.375
Min length17

Characters and Unicode

Total characters1496
Distinct characters79
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)68.8%

Sample

1st row서울특별시 중랑구 묵동 175-2 3층
2nd row서울특별시 중랑구 면목동 497-7 혜원동물병원
3rd row서울특별시 중랑구 상봉동 137-16번지
4th row서울특별시 중랑구 면목동 353-4번지
5th row서울특별시 중랑구 면목동 102-51번지
ValueCountFrequency (%)
서울특별시 64
21.8%
중랑구 64
21.8%
면목동 33
11.3%
번지 13
 
4.4%
신내동 10
 
3.4%
상봉동 8
 
2.7%
중화동 6
 
2.0%
166-44 5
 
1.7%
망우동 4
 
1.4%
153-33 4
 
1.4%
Other values (67) 82
28.0%
2024-04-30T04:03:15.747534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
288
19.3%
중 70
 
4.7%
동 68
 
4.5%
시 65
 
4.3%
서 64
 
4.3%
랑 64
 
4.3%
울 64
 
4.3%
구 64
 
4.3%
별 64
 
4.3%
특 64
 
4.3%
Other values (69) 621
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 849
56.8%
Decimal Number 300
 
20.1%
Space Separator 288
 
19.3%
Dash Punctuation 57
 
3.8%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 70
 
8.2%
동 68
 
8.0%
시 65
 
7.7%
서 64
 
7.5%
랑 64
 
7.5%
울 64
 
7.5%
구 64
 
7.5%
별 64
 
7.5%
특 64
 
7.5%
지 36
 
4.2%
Other values (55) 226
26.6%
Decimal Number
ValueCountFrequency (%)
1 53
17.7%
3 50
16.7%
4 43
14.3%
5 33
11.0%
6 33
11.0%
7 29
9.7%
2 21
 
7.0%
0 16
 
5.3%
8 13
 
4.3%
9 9
 
3.0%
Space Separator
ValueCountFrequency (%)
288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 849
56.8%
Common 646
43.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 70
 
8.2%
동 68
 
8.0%
시 65
 
7.7%
서 64
 
7.5%
랑 64
 
7.5%
울 64
 
7.5%
구 64
 
7.5%
별 64
 
7.5%
특 64
 
7.5%
지 36
 
4.2%
Other values (55) 226
26.6%
Common
ValueCountFrequency (%)
288
44.6%
- 57
 
8.8%
1 53
 
8.2%
3 50
 
7.7%
4 43
 
6.7%
5 33
 
5.1%
6 33
 
5.1%
7 29
 
4.5%
2 21
 
3.3%
0 16
 
2.5%
Other values (3) 23
 
3.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 849
56.8%
ASCII 647
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
288
44.5%
- 57
 
8.8%
1 53
 
8.2%
3 50
 
7.7%
4 43
 
6.6%
5 33
 
5.1%
6 33
 
5.1%
7 29
 
4.5%
2 21
 
3.2%
0 16
 
2.5%
Other values (4) 24
 
3.7%
Hangul
ValueCountFrequency (%)
중 70
 
8.2%
동 68
 
8.0%
시 65
 
7.7%
서 64
 
7.5%
랑 64
 
7.5%
울 64
 
7.5%
구 64
 
7.5%
별 64
 
7.5%
특 64
 
7.5%
지 36
 
4.2%
Other values (55) 226
26.6%

도로명주소
Text

MISSING 

Distinct46
Distinct (%)92.0%
Missing14
Missing (%)21.9%
Memory size644.0 B
2024-04-30T04:03:15.964931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length35.5
Mean length28.44
Min length22

Characters and Unicode

Total characters1422
Distinct characters95
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

Unique42 ?
Unique (%)84.0%

Sample

1st row서울특별시 중랑구 동일로 920, 3층 (묵동)
2nd row서울특별시 중랑구 면목로 341, 혜원동물병원 (면목동)
3rd row서울특별시 중랑구 중랑천로 81 (상봉동)
4th row서울특별시 중랑구 면목로 269 (면목동)
5th row서울특별시 중랑구 겸재로 187 (면목동)
ValueCountFrequency (%)
서울특별시 50
16.7%
중랑구 50
16.7%
면목동 23
 
7.7%
1층 11
 
3.7%
동일로 9
 
3.0%
신내동 8
 
2.7%
2층 7
 
2.3%
면목로 7
 
2.3%
상봉동 7
 
2.3%
망우로 6
 
2.0%
Other values (79) 122
40.7%
2024-04-30T04:03:16.294639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
 
17.7%
동 66
 
4.6%
중 61
 
4.3%
랑 54
 
3.8%
로 51
 
3.6%
시 51
 
3.6%
서 50
 
3.5%
) 50
 
3.5%
( 50
 
3.5%
울 50
 
3.5%
Other values (85) 688
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 830
58.4%
Space Separator 251
 
17.7%
Decimal Number 194
 
13.6%
Close Punctuation 50
 
3.5%
Open Punctuation 50
 
3.5%
Other Punctuation 41
 
2.9%
Dash Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 66
 
8.0%
중 61
 
7.3%
랑 54
 
6.5%
로 51
 
6.1%
시 51
 
6.1%
서 50
 
6.0%
울 50
 
6.0%
구 50
 
6.0%
별 50
 
6.0%
특 50
 
6.0%
Other values (68) 297
35.8%
Decimal Number
ValueCountFrequency (%)
1 44
22.7%
2 32
16.5%
3 29
14.9%
4 18
9.3%
7 15
 
7.7%
6 15
 
7.7%
0 14
 
7.2%
9 12
 
6.2%
5 8
 
4.1%
8 7
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 830
58.4%
Common 589
41.4%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 66
 
8.0%
중 61
 
7.3%
랑 54
 
6.5%
로 51
 
6.1%
시 51
 
6.1%
서 50
 
6.0%
울 50
 
6.0%
구 50
 
6.0%
별 50
 
6.0%
특 50
 
6.0%
Other values (68) 297
35.8%
Common
ValueCountFrequency (%)
251
42.6%
) 50
 
8.5%
( 50
 
8.5%
1 44
 
7.5%
, 41
 
7.0%
2 32
 
5.4%
3 29
 
4.9%
4 18
 
3.1%
7 15
 
2.5%
6 15
 
2.5%
Other values (5) 44
 
7.5%
Latin
ValueCountFrequency (%)
B 2
66.7%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 830
58.4%
ASCII 592
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
42.4%
) 50
 
8.4%
( 50
 
8.4%
1 44
 
7.4%
, 41
 
6.9%
2 32
 
5.4%
3 29
 
4.9%
4 18
 
3.0%
7 15
 
2.5%
6 15
 
2.5%
Other values (7) 47
 
7.9%
Hangul
ValueCountFrequency (%)
동 66
 
8.0%
중 61
 
7.3%
랑 54
 
6.5%
로 51
 
6.1%
시 51
 
6.1%
서 50
 
6.0%
울 50
 
6.0%
구 50
 
6.0%
별 50
 
6.0%
특 50
 
6.0%
Other values (68) 297
35.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)70.7%
Missing23
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean2122.7073
Minimum2005
Maximum2246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-30T04:03:16.409993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2017
Q12067
median2118
Q32176
95-th percentile2238
Maximum2246
Range241
Interquartile range (IQR)109

Descriptive statistics

Standard deviation75.456028
Coefficient of variation (CV)0.035547071
Kurtosis-1.1605473
Mean2122.7073
Median Absolute Deviation (MAD)58
Skewness0.063645374
Sum87031
Variance5693.6122
MonotonicityNot monotonic
2024-04-30T04:03:16.526768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2140 4
 
6.2%
2118 3
 
4.7%
2024 3
 
4.7%
2017 2
 
3.1%
2117 2
 
3.1%
2228 2
 
3.1%
2067 2
 
3.1%
2069 2
 
3.1%
2048 1
 
1.6%
2227 1
 
1.6%
Other values (19) 19
29.7%
(Missing) 23
35.9%
ValueCountFrequency (%)
2005 1
 
1.6%
2006 1
 
1.6%
2017 2
3.1%
2024 3
4.7%
2033 1
 
1.6%
2048 1
 
1.6%
2057 1
 
1.6%
2067 2
3.1%
2069 2
3.1%
2073 1
 
1.6%
ValueCountFrequency (%)
2246 1
1.6%
2240 1
1.6%
2238 1
1.6%
2232 1
1.6%
2228 2
3.1%
2227 1
1.6%
2215 1
1.6%
2202 1
1.6%
2189 1
1.6%
2176 1
1.6%

사업장명
Text

Distinct52
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-04-30T04:03:16.726937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.3125
Min length4

Characters and Unicode

Total characters468
Distinct characters132
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

Unique46 ?
Unique (%)71.9%

Sample

1st row태능동물병원
2nd row혜원동물병원
3rd row중랑차동물병원
4th row보람동물병원
5th row엔젤동물병원
ValueCountFrequency (%)
동물병원 6
 
8.0%
진영동물병원 5
 
6.7%
하나동물병원 4
 
5.3%
제일동물병원 3
 
4.0%
중랑차동물병원 2
 
2.7%
혜원동물병원 2
 
2.7%
비비펫동물병원 2
 
2.7%
로얄동물메디컬센터 2
 
2.7%
도그플러스 1
 
1.3%
태능동물병원 1
 
1.3%
Other values (47) 47
62.7%
2024-04-30T04:03:17.034846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 61
 
13.0%
물 58
 
12.4%
원 54
 
11.5%
병 51
 
10.9%
진 11
 
2.4%
11
 
2.4%
터 10
 
2.1%
센 8
 
1.7%
하 6
 
1.3%
얄 5
 
1.1%
Other values (122) 193
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
94.9%
Space Separator 11
 
2.4%
Uppercase Letter 4
 
0.9%
Lowercase Letter 3
 
0.6%
Other Punctuation 2
 
0.4%
Decimal Number 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 61
 
13.7%
물 58
 
13.1%
원 54
 
12.2%
병 51
 
11.5%
진 11
 
2.5%
터 10
 
2.3%
센 8
 
1.8%
하 6
 
1.4%
얄 5
 
1.1%
로 5
 
1.1%
Other values (108) 175
39.4%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
M 1
25.0%
C 1
25.0%
K 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
m 1
33.3%
a 1
33.3%
Other Punctuation
ValueCountFrequency (%)
; 1
50.0%
& 1
50.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
94.9%
Common 17
 
3.6%
Latin 7
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 61
 
13.7%
물 58
 
13.1%
원 54
 
12.2%
병 51
 
11.5%
진 11
 
2.5%
터 10
 
2.3%
센 8
 
1.8%
하 6
 
1.4%
얄 5
 
1.1%
로 5
 
1.1%
Other values (108) 175
39.4%
Common
ValueCountFrequency (%)
11
64.7%
) 1
 
5.9%
; 1
 
5.9%
& 1
 
5.9%
( 1
 
5.9%
4 1
 
5.9%
2 1
 
5.9%
Latin
ValueCountFrequency (%)
A 1
14.3%
M 1
14.3%
C 1
14.3%
p 1
14.3%
m 1
14.3%
a 1
14.3%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
94.9%
ASCII 24
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 61
 
13.7%
물 58
 
13.1%
원 54
 
12.2%
병 51
 
11.5%
진 11
 
2.5%
터 10
 
2.3%
센 8
 
1.8%
하 6
 
1.4%
얄 5
 
1.1%
로 5
 
1.1%
Other values (108) 175
39.4%
ASCII
ValueCountFrequency (%)
11
45.8%
A 1
 
4.2%
M 1
 
4.2%
C 1
 
4.2%
) 1
 
4.2%
; 1
 
4.2%
p 1
 
4.2%
m 1
 
4.2%
a 1
 
4.2%
& 1
 
4.2%
Other values (4) 4
 
16.7%

최종수정일자
Date

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2003-10-06 16:59:56
Maximum2024-04-05 16:50:17
2024-04-30T04:03:17.155960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:03:17.282947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
I
34 
U
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 34
53.1%
U 30
46.9%

Length

2024-04-30T04:03:17.405662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:17.482280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 34
53.1%
u 30
46.9%

데이터갱신일자
Date

Distinct30
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:03:17.729790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:03:17.832533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)76.0%
Missing14
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean207517.56
Minimum206321.92
Maximum208947.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-30T04:03:17.956954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206321.92
5-th percentile206345.47
Q1207002.41
median207501.31
Q3208082.26
95-th percentile208615.63
Maximum208947.07
Range2625.153
Interquartile range (IQR)1079.8582

Descriptive statistics

Standard deviation701.55889
Coefficient of variation (CV)0.0033807206
Kurtosis-0.82631519
Mean207517.56
Median Absolute Deviation (MAD)504.04335
Skewness0.23315291
Sum10375878
Variance492184.88
MonotonicityNot monotonic
2024-04-30T04:03:18.083156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
207017.81527047 4
 
6.2%
206345.47354923 3
 
4.7%
206997.270586637 3
 
4.7%
206886.476566053 2
 
3.1%
207729.175659582 2
 
3.1%
207501.313934626 2
 
3.1%
208615.632099981 2
 
3.1%
207162.549983051 2
 
3.1%
207499.721342162 1
 
1.6%
207683.608993998 1
 
1.6%
Other values (28) 28
43.8%
(Missing) 14
21.9%
ValueCountFrequency (%)
206321.919332707 1
 
1.6%
206345.47354923 3
4.7%
206712.645739265 1
 
1.6%
206763.653496703 1
 
1.6%
206780.207620819 1
 
1.6%
206886.476566053 2
3.1%
206949.692364552 1
 
1.6%
206997.270586637 3
4.7%
207017.81527047 4
6.2%
207032.160197013 1
 
1.6%
ValueCountFrequency (%)
208947.072330515 1
1.6%
208814.147876688 1
1.6%
208615.632099981 2
3.1%
208613.331372822 1
1.6%
208533.165197782 1
1.6%
208400.763171651 1
1.6%
208374.549467469 1
1.6%
208361.517012411 1
1.6%
208261.079115192 1
1.6%
208243.910432602 1
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)76.0%
Missing14
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean454683.08
Minimum452314.26
Maximum457183.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-30T04:03:18.184889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452314.26
5-th percentile452781.03
Q1453914.12
median454460.82
Q3455576.02
95-th percentile456912.44
Maximum457183.64
Range4869.3749
Interquartile range (IQR)1661.9028

Descriptive statistics

Standard deviation1266.018
Coefficient of variation (CV)0.0027843966
Kurtosis-0.72033948
Mean454683.08
Median Absolute Deviation (MAD)842.5966
Skewness0.31433432
Sum22734154
Variance1602801.6
MonotonicityNot monotonic
2024-04-30T04:03:18.311479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
453914.639780644 4
 
6.2%
454460.821850917 3
 
4.7%
454794.043242834 3
 
4.7%
455496.619419948 2
 
3.1%
453342.232542102 2
 
3.1%
452781.027328961 2
 
3.1%
456170.032009255 2
 
3.1%
453618.225255081 2
 
3.1%
455602.490288206 1
 
1.6%
453071.827543665 1
 
1.6%
Other values (28) 28
43.8%
(Missing) 14
21.9%
ValueCountFrequency (%)
452314.262856861 1
1.6%
452751.137837689 1
1.6%
452781.027328961 2
3.1%
453071.827543665 1
1.6%
453216.12116107 1
1.6%
453342.232542102 2
3.1%
453453.28377601 1
1.6%
453618.225255081 2
3.1%
453661.848699784 1
1.6%
453913.946459696 1
1.6%
ValueCountFrequency (%)
457183.637796144 1
1.6%
457113.638411288 1
1.6%
457054.793655589 1
1.6%
456738.441211434 1
1.6%
456698.48946494 1
1.6%
456501.735079654 1
1.6%
456484.166451356 1
1.6%
456170.032009255 2
3.1%
455862.278991004 1
1.6%
455823.471989854 1
1.6%

축산업무구분명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
동물병원
46 
<NA>
18 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물병원 46
71.9%
<NA> 18
 
28.1%

Length

2024-04-30T04:03:18.412262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:18.499485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물병원 46
71.9%
na 18
 
28.1%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
000
45 
<NA>
18 
L00
 
1

Length

Max length4
Median length3
Mean length3.28125
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
000 45
70.3%
<NA> 18
 
28.1%
L00 1
 
1.6%

Length

2024-04-30T04:03:18.585551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:18.676287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 45
70.3%
na 18
 
28.1%
l00 1
 
1.6%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
59 
0
 
5

Length

Max length4
Median length4
Mean length3.765625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
92.2%
0 5
 
7.8%

Length

2024-04-30T04:03:18.770589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:03:18.855484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
92.2%
0 5
 
7.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
030600003060000010199100011991-11-30<NA>1영업/정상0정상<NA><NA><NA><NA>973-1953153.5<NA>서울특별시 중랑구 묵동 175-2 3층서울특별시 중랑구 동일로 920, 3층 (묵동)2033태능동물병원2023-03-30 13:30:56U2022-12-04 00:01:00.0<NA>206780.207621456698.489465<NA><NA><NA><NA><NA>
130600003060000010199200011992-07-03<NA>3폐업2폐업2023-11-06<NA><NA><NA>439-83000.0<NA>서울특별시 중랑구 면목동 497-7 혜원동물병원서울특별시 중랑구 면목로 341, 혜원동물병원 (면목동)2228혜원동물병원2023-11-06 10:45:27U2022-11-01 00:08:00.0<NA>207729.17566453342.232542<NA><NA><NA><NA><NA>
2306000030600000101994000119941203<NA>3폐업2폐업20180627<NA><NA><NA>433-078740.5<NA>서울특별시 중랑구 상봉동 137-16번지서울특별시 중랑구 중랑천로 81 (상봉동)2118중랑차동물병원2018-06-27 10:30:43I2018-08-31 23:59:59.0<NA>206345.473549454460.821851동물병원<NA><NA>000<NA>
3306000030600000101995000119950802<NA>1영업/정상0정상<NA><NA><NA><NA>434-54650.0<NA>서울특별시 중랑구 면목동 353-4번지서울특별시 중랑구 면목로 269 (면목동)2240보람동물병원2019-03-06 14:09:43U2019-03-08 02:40:00.0<NA>207505.353493452751.137838동물병원<NA><NA>000<NA>
4306000030600000101996000119960326<NA>1영업/정상0정상<NA><NA><NA><NA>435-01660.0<NA>서울특별시 중랑구 면목동 102-51번지서울특별시 중랑구 겸재로 187 (면목동)2161엔젤동물병원2019-03-06 14:15:34U2019-03-08 02:40:00.0<NA>207735.456234454057.837625동물병원<NA><NA>000<NA>
5306000030600000101996000219961112<NA>3폐업2폐업20190121<NA><NA><NA>434-37000.0<NA>서울특별시 중랑구 상봉동 118-8번지서울특별시 중랑구 망우로 266 (상봉동)2136동부제일동물병원2019-01-21 16:39:24U2019-01-23 02:40:00.0<NA>207189.679743454752.131153동물병원<NA><NA>000<NA>
630600003060000010199700011997-03-17<NA>1영업/정상0정상<NA><NA><NA><NA>974-033995.4<NA>서울특별시 중랑구 묵동 239-76서울특별시 중랑구 동일로 899, 1층 (묵동)2006홍상희동물병원2023-09-05 15:21:09U2022-12-09 00:07:00.0<NA>206763.653497456484.166451<NA><NA><NA><NA><NA>
7306000030600000101998000119980226<NA>3폐업2폐업20050923<NA><NA><NA>3421-49000.0<NA>서울특별시 중랑구 신내동 648-143번지<NA><NA>비비펫동물병원2005-09-23 13:29:30I2018-08-31 23:59:59.0<NA><NA><NA>동물병원<NA><NA>000<NA>
8306000030600000102000000120000229<NA>1영업/정상0정상<NA><NA><NA><NA>435-22750.0<NA>서울특별시 중랑구 면목동 225-7서울특별시 중랑구 면목로 442-1, 1층 (면목동)2160하스펫탈동물병원2021-06-18 16:20:51U2021-06-20 02:40:00.0<NA>207610.403324454365.747239동물병원<NA><NA>000<NA>
9306000030600000102000000220000721<NA>1영업/정상0정상<NA><NA><NA><NA>3422-00010.0<NA>서울특별시 중랑구 중화동 11-36번지 삼일시티빌 1층서울특별시 중랑구 봉화산로 103, 1층 (중화동, 삼일시티빌)2048신내동물병원2015-05-28 13:52:40I2018-08-31 23:59:59.0<NA>207499.721342455602.490288동물병원<NA><NA>000<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
54306000030600000102019000220190906<NA>1영업/정상0정상<NA><NA><NA><NA>02-433-7515<NA><NA>서울특별시 중랑구 신내동 563-2번지서울특별시 중랑구 신내로 66 (신내동)2069아이봄 동물병원2019-09-06 15:08:38I2019-09-08 02:22:22.0<NA>208374.549467455862.278991동물병원<NA><NA>000<NA>
55306000030600000102020000120200610<NA>1영업/정상0정상<NA><NA><NA><NA>02-470-47070.0<NA>서울특별시 중랑구 면목동 172-93번지서울특별시 중랑구 동일로 593, 2층 (면목동)2232레미 동물병원2020-06-10 18:05:22I2020-06-12 00:23:18.0<NA>206949.692365453453.283776동물병원<NA><NA>000<NA>
5630600003060000010202000022020-11-09<NA>1영업/정상0정상<NA><NA><NA><NA>949-75770.0<NA>서울특별시 중랑구 묵동 238-8 하태윤산부인과서울특별시 중랑구 동일로 925, 3층 (묵동)2005치료해 주오2023-11-06 15:35:05U2022-11-01 00:08:00.0<NA>206712.645739456738.441211<NA><NA><NA><NA><NA>
57306000030600000102021000120210114<NA>3폐업2폐업20220119<NA><NA><NA><NA>32.0<NA>서울특별시 중랑구 중화동 305-44 유정빌딩 201동서울특별시 중랑구 봉화산로 39-1, 유정빌딩 2층 201호 (중화동)2017골드퍼피&amp;실버캣2022-01-19 17:28:30U2022-01-21 02:40:00.0<NA>206886.476566455496.61942동물병원<NA><NA>0000
5830600003060000010202100022021-04-27<NA>1영업/정상0정상<NA><NA><NA><NA>02-439-7582146.0<NA>서울특별시 중랑구 면목동 71-41서울특별시 중랑구 상봉로 17, 1층 (면목동)2202닥터멍동물병원2024-01-08 13:43:20U2023-11-30 23:00:00.0<NA>208243.910433453913.94646<NA><NA><NA><NA><NA>
5930600003060000010202300012023-04-09<NA>1영업/정상0정상<NA><NA><NA><NA>070-8660-0904455.22<NA>서울특별시 중랑구 면목동 146-75서울특별시 중랑구 동일로 640, 2층, 3층 (면목동)2140로얄동물메디컬센터 본원2023-04-09 14:45:39I2022-12-03 23:01:00.0<NA>207017.81527453914.639781<NA><NA><NA><NA><NA>
6030600003060000010202300022023-07-21<NA>1영업/정상0정상<NA><NA><NA><NA>070-8660-0936602.02<NA>서울특별시 중랑구 면목동 146-75서울특별시 중랑구 동일로 640, 지하1, 지상4층 (면목동)2140로얄동물외과수술센터2023-08-04 16:51:49U2022-12-08 00:06:00.0<NA>207017.81527453914.639781<NA><NA><NA><NA><NA>
6130600003060000010202300032023-11-06<NA>1영업/정상0정상<NA><NA><NA><NA>02-439-830060.0<NA>서울특별시 중랑구 면목동 497-7서울특별시 중랑구 면목로 341, 1층 (면목동)2228혜원동물병원2023-11-06 10:56:44I2022-11-01 00:08:00.0<NA>207729.17566453342.232542<NA><NA><NA><NA><NA>
6230600003060000010202400012024-01-02<NA>1영업/정상0정상<NA><NA><NA><NA>02-433-078742.9<NA>서울특별시 중랑구 상봉동 137-16서울특별시 중랑구 중랑천로 81, 101호 (상봉동)2118중랑차동물병원2024-01-02 10:23:33I2023-12-01 00:04:00.0<NA>206345.473549454460.821851<NA><NA><NA><NA><NA>
6330600003060000010202400022024-04-05<NA>1영업/정상0정상<NA><NA><NA><NA>02-435-758284.4<NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스서울특별시 중랑구 용마산로 670, C동 129,130호 (망우동, 신내역 프라디움 더 테라스)2057산들동물병원2024-04-05 16:50:17I2023-12-04 00:07:00.0<NA>208947.072331456501.73508<NA><NA><NA><NA><NA>