Overview

Dataset statistics

Number of variables30
Number of observations81
Missing cells827
Missing cells (%)34.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.5 KiB
Average record size in memory258.6 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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16564/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총인원 is highly imbalanced (57.6%)Imbalance
인허가취소일자 has 81 (100.0%) missing valuesMissing
폐업일자 has 55 (67.9%) missing valuesMissing
휴업시작일자 has 81 (100.0%) missing valuesMissing
휴업종료일자 has 81 (100.0%) missing valuesMissing
재개업일자 has 81 (100.0%) missing valuesMissing
전화번호 has 29 (35.8%) missing valuesMissing
소재지면적 has 65 (80.2%) missing valuesMissing
소재지우편번호 has 81 (100.0%) missing valuesMissing
지번주소 has 11 (13.6%) missing valuesMissing
도로명주소 has 2 (2.5%) missing valuesMissing
도로명우편번호 has 7 (8.6%) missing valuesMissing
업태구분명 has 81 (100.0%) missing valuesMissing
좌표정보(X) has 5 (6.2%) missing valuesMissing
좌표정보(Y) has 5 (6.2%) missing valuesMissing
축산물가공업구분명 has 81 (100.0%) missing valuesMissing
축산일련번호 has 81 (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 8 (9.9%) zerosZeros

Reproduction

Analysis started2024-05-11 06:29:10.726786
Analysis finished2024-05-11 06:29:11.520627
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
3230000
81 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 81
100.0%

Length

2024-05-11T15:29:11.626924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:11.800652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 81
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.23 × 1017
Minimum3.23 × 1017
Maximum3.23 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-05-11T15:29:12.030809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.23 × 1017
5-th percentile3.23 × 1017
Q13.23 × 1017
median3.23 × 1017
Q33.23 × 1017
95-th percentile3.23 × 1017
Maximum3.23 × 1017
Range270001
Interquartile range (IQR)50048

Descriptive statistics

Standard deviation67301.843
Coefficient of variation (CV)2.0836484 × 10-13
Kurtosis2.4381469
Mean3.23 × 1017
Median Absolute Deviation (MAD)20032
Skewness-1.8265671
Sum7.716256 × 1018
Variance4.5295381 × 109
MonotonicityStrictly increasing
2024-05-11T15:29:12.364271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
323000001319970001 1
 
1.2%
323000001320220007 1
 
1.2%
323000001320220005 1
 
1.2%
323000001320220004 1
 
1.2%
323000001320220003 1
 
1.2%
323000001320220002 1
 
1.2%
323000001320220001 1
 
1.2%
323000001320210010 1
 
1.2%
323000001320210009 1
 
1.2%
323000001320210008 1
 
1.2%
Other values (71) 71
87.7%
ValueCountFrequency (%)
323000001319970001 1
1.2%
323000001319980001 1
1.2%
323000001319990001 1
1.2%
323000001320000001 1
1.2%
323000001320000002 1
1.2%
323000001320010001 1
1.2%
323000001320030001 1
1.2%
323000001320040001 1
1.2%
323000001320050001 1
1.2%
323000001320110001 1
1.2%
ValueCountFrequency (%)
323000001320240002 1
1.2%
323000001320240001 1
1.2%
323000001320230007 1
1.2%
323000001320230006 1
1.2%
323000001320230005 1
1.2%
323000001320230004 1
1.2%
323000001320230003 1
1.2%
323000001320230002 1
1.2%
323000001320230001 1
1.2%
323000001320220018 1
1.2%

인허가일자
Date

Distinct70
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum1997-07-01 00:00:00
Maximum2024-04-17 00:00:00
2024-05-11T15:29:12.620239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:12.844507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
1
55 
3
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 55
67.9%
3 26
32.1%

Length

2024-05-11T15:29:13.027433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:13.218813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
67.9%
3 26
32.1%

영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
영업/정상
55 
폐업
26 

Length

Max length5
Median length5
Mean length4.037037
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 55
67.9%
폐업 26
32.1%

Length

2024-05-11T15:29:13.433234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:13.623414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 55
67.9%
폐업 26
32.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
0
55 
2
26 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 55
67.9%
2 26
32.1%

Length

2024-05-11T15:29:13.788765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:13.949712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
67.9%
2 26
32.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
정상
55 
폐업
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 55
67.9%
폐업 26
32.1%

Length

2024-05-11T15:29:14.108696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:14.283168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 55
67.9%
폐업 26
32.1%

폐업일자
Date

MISSING 

Distinct24
Distinct (%)92.3%
Missing55
Missing (%)67.9%
Memory size780.0 B
Minimum2000-04-01 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T15:29:14.472316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:14.724225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

전화번호
Text

MISSING 

Distinct50
Distinct (%)96.2%
Missing29
Missing (%)35.8%
Memory size780.0 B
2024-05-11T15:29:15.095999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.615385
Min length7

Characters and Unicode

Total characters552
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

Unique48 ?
Unique (%)92.3%

Sample

1st row4007396
2nd row420-9983
3rd row34318040
4th row408-8422
5th row3431-8040
ValueCountFrequency (%)
02-466-2526 2
 
3.8%
02-408-8684 2
 
3.8%
02-443-2443 1
 
1.9%
070-8820-0399 1
 
1.9%
4007396 1
 
1.9%
02-471-0773 1
 
1.9%
080-424-7999 1
 
1.9%
02-6933-7484 1
 
1.9%
02-733-1740 1
 
1.9%
02-415-3006 1
 
1.9%
Other values (40) 40
76.9%
2024-05-11T15:29:15.713240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 106
19.2%
- 84
15.2%
2 78
14.1%
4 67
12.1%
3 40
 
7.2%
8 35
 
6.3%
6 33
 
6.0%
5 30
 
5.4%
1 27
 
4.9%
9 26
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 468
84.8%
Dash Punctuation 84
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
22.6%
2 78
16.7%
4 67
14.3%
3 40
 
8.5%
8 35
 
7.5%
6 33
 
7.1%
5 30
 
6.4%
1 27
 
5.8%
9 26
 
5.6%
7 26
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 106
19.2%
- 84
15.2%
2 78
14.1%
4 67
12.1%
3 40
 
7.2%
8 35
 
6.3%
6 33
 
6.0%
5 30
 
5.4%
1 27
 
4.9%
9 26
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 106
19.2%
- 84
15.2%
2 78
14.1%
4 67
12.1%
3 40
 
7.2%
8 35
 
6.3%
6 33
 
6.0%
5 30
 
5.4%
1 27
 
4.9%
9 26
 
4.7%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)50.0%
Missing65
Missing (%)80.2%
Infinite0
Infinite (%)0.0%
Mean17.7525
Minimum0
Maximum56.19
Zeros8
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-05-11T15:29:15.934157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q327.89
95-th percentile55.275
Maximum56.19
Range56.19
Interquartile range (IQR)27.89

Descriptive statistics

Standard deviation21.255624
Coefficient of variation (CV)1.1973313
Kurtosis-0.87843205
Mean17.7525
Median Absolute Deviation (MAD)10
Skewness0.78067071
Sum284.04
Variance451.80155
MonotonicityNot monotonic
2024-05-11T15:29:16.115302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 8
 
9.9%
20.0 2
 
2.5%
41.54 1
 
1.2%
45.36 1
 
1.2%
56.19 1
 
1.2%
23.34 1
 
1.2%
22.64 1
 
1.2%
54.97 1
 
1.2%
(Missing) 65
80.2%
ValueCountFrequency (%)
0.0 8
9.9%
20.0 2
 
2.5%
22.64 1
 
1.2%
23.34 1
 
1.2%
41.54 1
 
1.2%
45.36 1
 
1.2%
54.97 1
 
1.2%
56.19 1
 
1.2%
ValueCountFrequency (%)
56.19 1
 
1.2%
54.97 1
 
1.2%
45.36 1
 
1.2%
41.54 1
 
1.2%
23.34 1
 
1.2%
22.64 1
 
1.2%
20.0 2
 
2.5%
0.0 8
9.9%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

지번주소
Text

MISSING 

Distinct58
Distinct (%)82.9%
Missing11
Missing (%)13.6%
Memory size780.0 B
2024-05-11T15:29:16.489419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length25.271429
Min length17

Characters and Unicode

Total characters1769
Distinct characters144
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)70.0%

Sample

1st row서울특별시 송파구 오금동 **번지
2nd row서울특별시 송파구 송파동 **번지 지하*층
3rd row서울특별시 송파구 오금동 **-*번지
4th row서울특별시 송파구 송파동 **-**번지
5th row서울특별시 송파구 삼전동 ***-**번지 *층
ValueCountFrequency (%)
서울특별시 69
19.6%
송파구 68
19.3%
47
13.4%
번지 24
 
6.8%
문정동 23
 
6.5%
방이동 11
 
3.1%
송파 8
 
2.3%
가락동 8
 
2.3%
테라타워 7
 
2.0%
송파동 5
 
1.4%
Other values (57) 82
23.3%
2024-05-11T15:29:17.546715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
320
18.1%
* 261
14.8%
파 92
 
5.2%
송 83
 
4.7%
시 75
 
4.2%
서 70
 
4.0%
동 70
 
4.0%
구 69
 
3.9%
울 69
 
3.9%
별 69
 
3.9%
Other values (134) 591
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1134
64.1%
Space Separator 320
 
18.1%
Other Punctuation 261
 
14.8%
Dash Punctuation 37
 
2.1%
Uppercase Letter 17
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 92
 
8.1%
송 83
 
7.3%
시 75
 
6.6%
서 70
 
6.2%
동 70
 
6.2%
구 69
 
6.1%
울 69
 
6.1%
별 69
 
6.1%
특 69
 
6.1%
지 34
 
3.0%
Other values (118) 434
38.3%
Uppercase Letter
ValueCountFrequency (%)
U 2
11.8%
A 2
11.8%
N 2
11.8%
S 2
11.8%
O 1
 
5.9%
P 1
 
5.9%
G 1
 
5.9%
F 1
 
5.9%
T 1
 
5.9%
D 1
 
5.9%
Other values (3) 3
17.6%
Space Separator
ValueCountFrequency (%)
320
100.0%
Other Punctuation
ValueCountFrequency (%)
* 261
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1134
64.1%
Common 618
34.9%
Latin 17
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 92
 
8.1%
송 83
 
7.3%
시 75
 
6.6%
서 70
 
6.2%
동 70
 
6.2%
구 69
 
6.1%
울 69
 
6.1%
별 69
 
6.1%
특 69
 
6.1%
지 34
 
3.0%
Other values (118) 434
38.3%
Latin
ValueCountFrequency (%)
U 2
11.8%
A 2
11.8%
N 2
11.8%
S 2
11.8%
O 1
 
5.9%
P 1
 
5.9%
G 1
 
5.9%
F 1
 
5.9%
T 1
 
5.9%
D 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
320
51.8%
* 261
42.2%
- 37
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1134
64.1%
ASCII 635
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
320
50.4%
* 261
41.1%
- 37
 
5.8%
U 2
 
0.3%
A 2
 
0.3%
N 2
 
0.3%
S 2
 
0.3%
O 1
 
0.2%
P 1
 
0.2%
G 1
 
0.2%
Other values (6) 6
 
0.9%
Hangul
ValueCountFrequency (%)
파 92
 
8.1%
송 83
 
7.3%
시 75
 
6.6%
서 70
 
6.2%
동 70
 
6.2%
구 69
 
6.1%
울 69
 
6.1%
별 69
 
6.1%
특 69
 
6.1%
지 34
 
3.0%
Other values (118) 434
38.3%

도로명주소
Text

MISSING 

Distinct74
Distinct (%)93.7%
Missing2
Missing (%)2.5%
Memory size780.0 B
2024-05-11T15:29:18.262382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length37.683544
Min length25

Characters and Unicode

Total characters2977
Distinct characters163
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

Unique69 ?
Unique (%)87.3%

Sample

1st row서울특별시 송파구 중대로**길 ** (오금동)
2nd row서울특별시 송파구 오금로 ***, ***동 **층 *호 (거여동, 트리지움)
3rd row서울특별시 송파구 백제고분로**길 * (송파동,지하*층)
4th row서울특별시 송파구 가락로**길 ** (송파동)
5th row서울특별시 송파구 백제고분로**길 ** (삼전동,*층)
ValueCountFrequency (%)
서울특별시 79
 
13.7%
79
 
13.7%
송파구 79
 
13.7%
호 37
 
6.4%
층 31
 
5.4%
문정동 30
 
5.2%
충민로 13
 
2.3%
방이동 12
 
2.1%
송파대로 10
 
1.7%
송파 8
 
1.4%
Other values (111) 199
34.5%
2024-05-11T15:29:18.911065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
498
 
16.7%
* 460
 
15.5%
파 121
 
4.1%
동 106
 
3.6%
송 105
 
3.5%
, 99
 
3.3%
시 84
 
2.8%
로 80
 
2.7%
서 79
 
2.7%
) 79
 
2.7%
Other values (153) 1266
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1700
57.1%
Other Punctuation 559
 
18.8%
Space Separator 498
 
16.7%
Close Punctuation 79
 
2.7%
Open Punctuation 79
 
2.7%
Uppercase Letter 46
 
1.5%
Dash Punctuation 16
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 121
 
7.1%
동 106
 
6.2%
송 105
 
6.2%
시 84
 
4.9%
로 80
 
4.7%
서 79
 
4.6%
울 79
 
4.6%
구 79
 
4.6%
별 79
 
4.6%
특 79
 
4.6%
Other values (131) 809
47.6%
Uppercase Letter
ValueCountFrequency (%)
A 9
19.6%
B 8
17.4%
T 6
13.0%
G 3
 
6.5%
S 3
 
6.5%
F 3
 
6.5%
D 3
 
6.5%
U 2
 
4.3%
N 2
 
4.3%
P 1
 
2.2%
Other values (6) 6
13.0%
Other Punctuation
ValueCountFrequency (%)
* 460
82.3%
, 99
 
17.7%
Space Separator
ValueCountFrequency (%)
498
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1700
57.1%
Common 1231
41.4%
Latin 46
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 121
 
7.1%
동 106
 
6.2%
송 105
 
6.2%
시 84
 
4.9%
로 80
 
4.7%
서 79
 
4.6%
울 79
 
4.6%
구 79
 
4.6%
별 79
 
4.6%
특 79
 
4.6%
Other values (131) 809
47.6%
Latin
ValueCountFrequency (%)
A 9
19.6%
B 8
17.4%
T 6
13.0%
G 3
 
6.5%
S 3
 
6.5%
F 3
 
6.5%
D 3
 
6.5%
U 2
 
4.3%
N 2
 
4.3%
P 1
 
2.2%
Other values (6) 6
13.0%
Common
ValueCountFrequency (%)
498
40.5%
* 460
37.4%
, 99
 
8.0%
) 79
 
6.4%
( 79
 
6.4%
- 16
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1700
57.1%
ASCII 1277
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
498
39.0%
* 460
36.0%
, 99
 
7.8%
) 79
 
6.2%
( 79
 
6.2%
- 16
 
1.3%
A 9
 
0.7%
B 8
 
0.6%
T 6
 
0.5%
G 3
 
0.2%
Other values (12) 20
 
1.6%
Hangul
ValueCountFrequency (%)
파 121
 
7.1%
동 106
 
6.2%
송 105
 
6.2%
시 84
 
4.9%
로 80
 
4.7%
서 79
 
4.6%
울 79
 
4.6%
구 79
 
4.6%
별 79
 
4.6%
특 79
 
4.6%
Other values (131) 809
47.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)62.2%
Missing7
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean5719.3378
Minimum5509
Maximum5854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-05-11T15:29:19.133589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5509
5-th percentile5515.2
Q15625.25
median5731.5
Q35838
95-th percentile5854
Maximum5854
Range345
Interquartile range (IQR)212.75

Descriptive statistics

Standard deviation124.82177
Coefficient of variation (CV)0.021824514
Kurtosis-1.4264946
Mean5719.3378
Median Absolute Deviation (MAD)106.5
Skewness-0.37631302
Sum423231
Variance15580.473
MonotonicityNot monotonic
2024-05-11T15:29:19.418702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5838 10
 
12.3%
5854 9
 
11.1%
5510 3
 
3.7%
5643 3
 
3.7%
5840 3
 
3.7%
5836 2
 
2.5%
5825 2
 
2.5%
5834 2
 
2.5%
5581 2
 
2.5%
5641 2
 
2.5%
Other values (36) 36
44.4%
(Missing) 7
 
8.6%
ValueCountFrequency (%)
5509 1
 
1.2%
5510 3
3.7%
5518 1
 
1.2%
5523 1
 
1.2%
5530 1
 
1.2%
5538 1
 
1.2%
5542 1
 
1.2%
5545 1
 
1.2%
5548 1
 
1.2%
5550 1
 
1.2%
ValueCountFrequency (%)
5854 9
11.1%
5852 1
 
1.2%
5841 1
 
1.2%
5840 3
 
3.7%
5838 10
12.3%
5837 1
 
1.2%
5836 2
 
2.5%
5834 2
 
2.5%
5825 2
 
2.5%
5809 1
 
1.2%

사업장명
Text

Distinct75
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size780.0 B
2024-05-11T15:29:19.838175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.3703704
Min length2

Characters and Unicode

Total characters678
Distinct characters190
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

Unique71 ?
Unique (%)87.7%

Sample

1st row(주)씨티씨바이오
2nd row(주)서광라보텍
3rd row한미메드라인상사
4th row메디텍코리아
5th row한미메드라인상사
ValueCountFrequency (%)
주식회사 9
 
8.3%
애완용품할인매장 4
 
3.7%
굿파인더 3
 
2.8%
미스터라라 3
 
2.8%
주)이마트에브리데이 3
 
2.8%
한미메드라인상사 2
 
1.8%
도그버디-방이점 2
 
1.8%
주)티앤씨디바인 1
 
0.9%
잠실지점 1
 
0.9%
폴리파크 1
 
0.9%
Other values (80) 80
73.4%
2024-05-11T15:29:20.572451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 33
 
4.9%
28
 
4.1%
이 26
 
3.8%
) 24
 
3.5%
( 24
 
3.5%
사 19
 
2.8%
인 17
 
2.5%
스 17
 
2.5%
점 12
 
1.8%
디 12
 
1.8%
Other values (180) 466
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 592
87.3%
Space Separator 28
 
4.1%
Close Punctuation 24
 
3.5%
Open Punctuation 24
 
3.5%
Dash Punctuation 4
 
0.6%
Decimal Number 4
 
0.6%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 33
 
5.6%
이 26
 
4.4%
사 19
 
3.2%
인 17
 
2.9%
스 17
 
2.9%
점 12
 
2.0%
디 12
 
2.0%
라 12
 
2.0%
리 12
 
2.0%
회 11
 
1.9%
Other values (171) 421
71.1%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 592
87.3%
Common 84
 
12.4%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 33
 
5.6%
이 26
 
4.4%
사 19
 
3.2%
인 17
 
2.9%
스 17
 
2.9%
점 12
 
2.0%
디 12
 
2.0%
라 12
 
2.0%
리 12
 
2.0%
회 11
 
1.9%
Other values (171) 421
71.1%
Common
ValueCountFrequency (%)
28
33.3%
) 24
28.6%
( 24
28.6%
- 4
 
4.8%
2 2
 
2.4%
5 1
 
1.2%
4 1
 
1.2%
Latin
ValueCountFrequency (%)
M 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 592
87.3%
ASCII 86
 
12.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 33
 
5.6%
이 26
 
4.4%
사 19
 
3.2%
인 17
 
2.9%
스 17
 
2.9%
점 12
 
2.0%
디 12
 
2.0%
라 12
 
2.0%
리 12
 
2.0%
회 11
 
1.9%
Other values (171) 421
71.1%
ASCII
ValueCountFrequency (%)
28
32.6%
) 24
27.9%
( 24
27.9%
- 4
 
4.7%
2 2
 
2.3%
5 1
 
1.2%
M 1
 
1.2%
K 1
 
1.2%
4 1
 
1.2%

최종수정일자
Date

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum2005-12-05 13:23:15
Maximum2024-04-17 18:51:02
2024-05-11T15:29:20.848456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:21.047583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
I
51 
U
30 

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 51
63.0%
U 30
37.0%

Length

2024-05-11T15:29:21.255956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:21.420781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 51
63.0%
u 30
37.0%

데이터갱신일자
Date

Distinct55
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size780.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T15:29:21.584336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:29:21.827561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)77.6%
Missing5
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean210048.13
Minimum188226.25
Maximum212978.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-05-11T15:29:22.076658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188226.25
5-th percentile207793.45
Q1209757.55
median210517.11
Q3210986.46
95-th percentile212254.7
Maximum212978.14
Range24751.885
Interquartile range (IQR)1228.9105

Descriptive statistics

Standard deviation2805.9597
Coefficient of variation (CV)0.013358652
Kurtosis49.826084
Mean210048.13
Median Absolute Deviation (MAD)536.00769
Skewness-6.4146485
Sum15963658
Variance7873410.1
MonotonicityNot monotonic
2024-05-11T15:29:22.288050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210986.460698452 6
 
7.4%
210627.0 5
 
6.2%
211053.119518 4
 
4.9%
210045.748264305 2
 
2.5%
207801.420107817 2
 
2.5%
210535.089616 2
 
2.5%
209896.270852095 2
 
2.5%
210295.726837349 2
 
2.5%
210999.362554129 1
 
1.2%
210481.077142289 1
 
1.2%
Other values (49) 49
60.5%
(Missing) 5
 
6.2%
ValueCountFrequency (%)
188226.252726485 1
1.2%
207552.96722862 1
1.2%
207734.58283021 1
1.2%
207769.539121995 1
1.2%
207801.420107817 2
2.5%
207849.576769863 1
1.2%
208366.297102118 1
1.2%
208506.869771742 1
1.2%
208688.155079917 1
1.2%
208836.192051204 1
1.2%
ValueCountFrequency (%)
212978.137709539 1
1.2%
212923.58984334 1
1.2%
212469.0 1
1.2%
212403.643733203 1
1.2%
212205.058140609 1
1.2%
212080.497587303 1
1.2%
211873.187253419 1
1.2%
211836.433773034 1
1.2%
211687.683744262 1
1.2%
211619.368009793 1
1.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)77.6%
Missing5
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean443608.37
Minimum410209.41
Maximum448332.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2024-05-11T15:29:22.493478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum410209.41
5-th percentile441725.29
Q1442568.75
median444146.22
Q3445309.63
95-th percentile446437.9
Maximum448332.46
Range38123.045
Interquartile range (IQR)2740.8802

Descriptive statistics

Standard deviation4216.0208
Coefficient of variation (CV)0.0095039254
Kurtosis53.84541
Mean443608.37
Median Absolute Deviation (MAD)1271.2186
Skewness-6.7378073
Sum33714236
Variance17774832
MonotonicityNot monotonic
2024-05-11T15:29:22.760016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441725.293491662 6
 
7.4%
442875.0 5
 
6.2%
442026.988783 4
 
4.9%
442930.687284628 2
 
2.5%
444625.035727762 2
 
2.5%
442137.578674 2
 
2.5%
445366.660997995 2
 
2.5%
445339.871097084 2
 
2.5%
443818.782246342 1
 
1.2%
443448.892122874 1
 
1.2%
Other values (49) 49
60.5%
(Missing) 5
 
6.2%
ValueCountFrequency (%)
410209.413546444 1
 
1.2%
441602.0 1
 
1.2%
441725.293491662 6
7.4%
441833.16323518 1
 
1.2%
442026.988783 4
4.9%
442053.227933005 1
 
1.2%
442070.575741668 1
 
1.2%
442137.578674 2
 
2.5%
442367.024660277 1
 
1.2%
442553.0 1
 
1.2%
ValueCountFrequency (%)
448332.458688085 1
1.2%
448116.949621187 1
1.2%
447466.879214999 1
1.2%
447307.649759292 1
1.2%
446147.977949052 1
1.2%
446007.966801057 1
1.2%
445963.384875409 1
1.2%
445954.176613992 1
1.2%
445866.131432613 1
1.2%
445807.727388799 1
1.2%

축산업무구분명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
동물용의료용구판매업
49 
<NA>
32 

Length

Max length10
Median length10
Mean length7.6296296
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물용의료용구판매업 49
60.5%
<NA> 32
39.5%

Length

2024-05-11T15:29:22.993141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:23.144420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물용의료용구판매업 49
60.5%
na 32
39.5%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing81
Missing (%)100.0%
Memory size861.0 B

권리주체일련번호
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
000
36 
<NA>
32 
L00
13 

Length

Max length4
Median length3
Mean length3.3950617
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowL00
2nd row000
3rd row000
4th row000
5th row000

Common Values

ValueCountFrequency (%)
000 36
44.4%
<NA> 32
39.5%
L00 13
 
16.0%

Length

2024-05-11T15:29:23.295560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:23.428674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
000 36
44.4%
na 32
39.5%
l00 13
 
16.0%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size780.0 B
<NA>
74 
0
 
7

Length

Max length4
Median length4
Mean length3.7407407
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> 74
91.4%
0 7
 
8.6%

Length

2024-05-11T15:29:23.595548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:29:23.828100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 74
91.4%
0 7
 
8.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0323000032300000131997000119970701<NA>3폐업2폐업20100729<NA><NA><NA>40073960.0<NA>서울특별시 송파구 오금동 **번지서울특별시 송파구 중대로**길 ** (오금동)<NA>(주)씨티씨바이오2015-07-31 13:24:53I2018-08-31 23:59:59.0<NA>211836.433773445043.295795동물용의료용구판매업<NA><NA>L00<NA>
1323000032300000131998000119980114<NA>1영업/정상0정상<NA><NA><NA><NA>420-99830.0<NA><NA>서울특별시 송파구 오금로 ***, ***동 **층 *호 (거여동, 트리지움)5768(주)서광라보텍2015-07-31 13:27:19I2018-08-31 23:59:59.0<NA>212923.589843443444.653126동물용의료용구판매업<NA><NA>000<NA>
2323000032300000131999000119990510<NA>3폐업2폐업20000401<NA><NA><NA>343180400.0<NA>서울특별시 송파구 송파동 **번지 지하*층서울특별시 송파구 백제고분로**길 * (송파동,지하*층)<NA>한미메드라인상사2015-07-31 13:26:04I2018-08-31 23:59:59.0<NA>209666.357478445096.478822동물용의료용구판매업<NA><NA>000<NA>
3323000032300000132000000120000603<NA>3폐업2폐업20040528<NA><NA><NA>408-84220.0<NA>서울특별시 송파구 오금동 **-*번지<NA><NA>메디텍코리아2015-07-31 13:26:50I2018-08-31 23:59:59.0<NA>211873.187253444777.912881동물용의료용구판매업<NA><NA>000<NA>
4323000032300000132000000220000616<NA>3폐업2폐업20140617<NA><NA><NA>3431-804020.0<NA>서울특별시 송파구 송파동 **-**번지서울특별시 송파구 가락로**길 ** (송파동)<NA>한미메드라인상사2015-07-31 13:30:01I2018-08-31 23:59:59.0<NA>209798.863492444385.074329동물용의료용구판매업<NA><NA>000<NA>
5323000032300000132001000120010814<NA>1영업/정상0정상<NA><NA><NA><NA>421-61200.0<NA>서울특별시 송파구 삼전동 ***-**번지 *층서울특별시 송파구 백제고분로**길 ** (삼전동,*층)<NA>(주)동광메디텍2015-07-31 13:30:40I2018-08-31 23:59:59.0<NA>208366.297102444687.690016동물용의료용구판매업<NA><NA>000<NA>
6323000032300000132003000120030729<NA>3폐업2폐업20060525<NA><NA><NA>420-81330.0<NA>서울특별시 송파구 송파동 ***-* 번지<NA><NA>(주)한국동물임상연구소2006-05-25 14:53:21I2018-08-31 23:59:59.0<NA><NA><NA>동물용의료용구판매업<NA><NA>L00<NA>
7323000032300000132004000120040219<NA>1영업/정상0정상<NA><NA><NA><NA>424-65160.0<NA><NA>서울특별시 송파구 가락로 **, ***호 (석촌동, 우암빌딩)5691세진교역2015-07-31 13:12:10I2018-08-31 23:59:59.0<NA>208852.416104444117.977127동물용의료용구판매업<NA><NA>000<NA>
8323000032300000132005000120050519<NA>3폐업2폐업20051205<NA><NA><NA>420-261341.54<NA>서울특별시 송파구 석촌동 ***번지 지상*층서울특별시 송파구 가락로 * (석촌동,지상*층)<NA>마이크로메딕스2005-12-05 13:23:15I2018-08-31 23:59:59.0<NA>208506.869772443944.470666동물용의료용구판매업<NA><NA>000<NA>
9323000032300000132011000120110105<NA>1영업/정상0정상<NA><NA><NA><NA>022157666745.36<NA>서울특별시 송파구 문정동 ***번지서울특별시 송파구 충민로 **, 에프-****,****호 (문정동, 가든파이브라이프)5838주식회사 명인메디텍2017-05-08 17:28:01I2018-08-31 23:59:59.0<NA>210986.460698441725.293492동물용의료용구판매업<NA><NA>L00<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
71323000032300000132022001820221122<NA>1영업/정상0정상<NA><NA><NA><NA>02-6952-3880<NA><NA>서울특별시 송파구 방이동 ***-** 대연빌딩서울특별시 송파구 오금로 ***, 대연빌딩 ***호 (방이동)5643주식회사 비욘드지놈2022-11-22 17:11:19I2021-10-31 22:04:00.0<NA>210205.929195445135.244407<NA><NA><NA><NA><NA>
7232300003230000013202300012023-02-08<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 가든파이브라이프서울특별시 송파구 충민로 **, 가든파이브라이프 YB****호 (문정동)5838청어람2023-12-05 09:55:18U2022-11-02 00:07:00.0<NA>210986.460698441725.293492<NA><NA><NA><NA><NA>
7332300003230000013202300022023-02-10<NA>1영업/정상0정상<NA><NA><NA><NA>02-598-3808<NA><NA>서울특별시 송파구 문정동 ***-* 문정에스케이브이원지엘메트로시티서울특별시 송파구 법원로 ***, 문정에스케이브이원지엘메트로시티 씨동 ****호 (문정동)5854루비시스2023-02-10 16:05:54I2022-12-01 23:02:00.0<NA><NA><NA><NA><NA><NA><NA><NA>
7432300003230000013202300032023-07-24<NA>1영업/정상0정상<NA><NA><NA><NA>02-2140-3396<NA><NA>서울특별시 송파구 송파동 **-*서울특별시 송파구 석촌호수로 ***, *층 (송파동)5623지더블유바이텍 주식회사2023-07-24 15:10:46I2022-12-06 22:06:00.0<NA>209321.573335445338.780035<NA><NA><NA><NA><NA>
7532300003230000013202300042023-08-02<NA>3폐업2폐업2023-08-08<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 올림픽훼밀리타운서울특별시 송파구 중대로 **, *층 (문정동, 올림픽훼밀리타운)5834대성에이엠씨 문정2023-08-09 10:44:57U2022-12-07 23:01:00.0<NA>210045.748264442930.687285<NA><NA><NA><NA><NA>
7632300003230000013202300052023-09-05<NA>1영업/정상0정상<NA><NA><NA><NA>070-4144-9114<NA><NA>서울특별시 송파구 방이동 ***-*서울특별시 송파구 오금로 ***, JS빌딩 *층 (방이동)5550(주)민트솔루션2023-09-05 16:15:43I2022-12-09 00:07:00.0<NA>209787.947726445412.46295<NA><NA><NA><NA><NA>
7732300003230000013202300062023-10-27<NA>1영업/정상0정상<NA><NA><NA><NA>070-8820-0399<NA><NA>서울특별시 송파구 문정동 *** 가든파이브라이프 티****호서울특별시 송파구 충민로 **, 가든파이브라이프 티****호 (문정동)5838주식회사 다인사이언스2023-10-27 09:31:37I2022-10-30 22:09:00.0<NA>210986.460698441725.293492<NA><NA><NA><NA><NA>
7832300003230000013202300072023-12-05<NA>1영업/정상0정상<NA><NA><NA><NA>02-407-0096<NA><NA>서울특별시 송파구 오금동 ***서울특별시 송파구 동남로 ***-*, 진올빌딩 (오금동)5729(주)진올바이오테크놀러지2023-12-05 17:11:54I2022-11-02 00:07:00.0<NA>212080.497587444489.245303<NA><NA><NA><NA><NA>
7932300003230000013202400012024-01-18<NA>1영업/정상0정상<NA><NA><NA><NA>02-448-7694<NA><NA>서울특별시 송파구 문정동 **-*서울특별시 송파구 문정로 **, ***호 (문정동)5806주식회사 무아디자인2024-01-18 13:42:31I2023-11-30 22:00:00.0<NA>210917.293618442701.343638<NA><NA><NA><NA><NA>
8032300003230000013202400022024-04-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>서울특별시 송파구 문정동 *** 파크하비오서울특별시 송파구 송파대로 ***, ***동 ***호 (문정동, 파크하비오)5837견생냥품 무인24시 송파문정동점2024-04-17 18:51:02I2023-12-03 22:00:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA>