Overview

Dataset statistics

Number of variables30
Number of observations58
Missing cells517
Missing cells (%)29.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.7 KiB
Average record size in memory260.3 B

Variable types

Categorical10
Numeric4
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-16518/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지면적 is highly imbalanced (61.2%)Imbalance
총인원 is highly imbalanced (78.4%)Imbalance
인허가취소일자 has 58 (100.0%) missing valuesMissing
폐업일자 has 34 (58.6%) missing valuesMissing
휴업시작일자 has 58 (100.0%) missing valuesMissing
휴업종료일자 has 58 (100.0%) missing valuesMissing
재개업일자 has 58 (100.0%) missing valuesMissing
전화번호 has 4 (6.9%) missing valuesMissing
소재지우편번호 has 58 (100.0%) missing valuesMissing
지번주소 has 1 (1.7%) missing valuesMissing
도로명주소 has 3 (5.2%) missing valuesMissing
도로명우편번호 has 3 (5.2%) missing valuesMissing
업태구분명 has 58 (100.0%) missing valuesMissing
좌표정보(X) has 4 (6.9%) missing valuesMissing
좌표정보(Y) has 4 (6.9%) missing valuesMissing
축산물가공업구분명 has 58 (100.0%) missing valuesMissing
축산일련번호 has 58 (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

Reproduction

Analysis started2024-05-11 06:27:26.768288
Analysis finished2024-05-11 06:27:27.426438
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
3020000
58 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3020000 58
100.0%

Length

2024-05-11T15:27:27.567377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:27.723305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 58
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.02 × 1017
Minimum3.02 × 1017
Maximum3.02 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T15:27:27.885073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.02 × 1017
5-th percentile3.02 × 1017
Q13.02 × 1017
median3.02 × 1017
Q33.02 × 1017
95-th percentile3.02 × 1017
Maximum3.02 × 1017
Range200001
Interquartile range (IQR)64960

Descriptive statistics

Standard deviation47171.438
Coefficient of variation (CV)1.5619681 × 10-13
Kurtosis1.3831465
Mean3.02 × 1017
Median Absolute Deviation (MAD)34976
Skewness-1.1299665
Sum-9.3074401 × 1017
Variance2.2251445 × 109
MonotonicityStrictly increasing
2024-05-11T15:27:28.130590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
302000001120040001 1
 
1.7%
302000001120220001 1
 
1.7%
302000001120190003 1
 
1.7%
302000001120190004 1
 
1.7%
302000001120200001 1
 
1.7%
302000001120200002 1
 
1.7%
302000001120210001 1
 
1.7%
302000001120210002 1
 
1.7%
302000001120210003 1
 
1.7%
302000001120210004 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
302000001120040001 1
1.7%
302000001120040002 1
1.7%
302000001120050001 1
1.7%
302000001120110001 1
1.7%
302000001120130001 1
1.7%
302000001120130002 1
1.7%
302000001120130003 1
1.7%
302000001120130004 1
1.7%
302000001120130005 1
1.7%
302000001120130006 1
1.7%
ValueCountFrequency (%)
302000001120240002 1
1.7%
302000001120240001 1
1.7%
302000001120230006 1
1.7%
302000001120230005 1
1.7%
302000001120230004 1
1.7%
302000001120230003 1
1.7%
302000001120230002 1
1.7%
302000001120230001 1
1.7%
302000001120220006 1
1.7%
302000001120220005 1
1.7%

인허가일자
Date

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2004-05-18 00:00:00
Maximum2024-04-19 00:00:00
2024-05-11T15:27:28.374876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:28.594979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
1
34 
3
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 34
58.6%
3 24
41.4%

Length

2024-05-11T15:27:28.777073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:28.908835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 34
58.6%
3 24
41.4%

영업상태명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
영업/정상
34 
폐업
24 

Length

Max length5
Median length5
Mean length3.7586207
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 34
58.6%
폐업 24
41.4%

Length

2024-05-11T15:27:29.107453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:29.250229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 34
58.6%
폐업 24
41.4%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
34 
2
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 34
58.6%
2 24
41.4%

Length

2024-05-11T15:27:29.402564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:29.550890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
58.6%
2 24
41.4%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
정상
34 
폐업
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 34
58.6%
폐업 24
41.4%

Length

2024-05-11T15:27:29.708574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:29.859643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 34
58.6%
폐업 24
41.4%

폐업일자
Date

MISSING 

Distinct23
Distinct (%)95.8%
Missing34
Missing (%)58.6%
Memory size596.0 B
Minimum2010-01-12 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T15:27:30.007890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:30.179537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

전화번호
Text

MISSING 

Distinct50
Distinct (%)92.6%
Missing4
Missing (%)6.9%
Memory size596.0 B
2024-05-11T15:27:30.505061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.055556
Min length8

Characters and Unicode

Total characters597
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

Unique46 ?
Unique (%)85.2%

Sample

1st row717-6415
2nd row792-2622
3rd row02-795-4549
4th row754-1755
5th row02-771-5685
ValueCountFrequency (%)
02-796-9008 2
 
3.7%
02-3785-3365 2
 
3.7%
02-797-1175 2
 
3.7%
02-794-6045 2
 
3.7%
02-469-1020 1
 
1.9%
070-8860-7760 1
 
1.9%
717-6415 1
 
1.9%
070-4234-8203 1
 
1.9%
02-764-1687 1
 
1.9%
02-792-9834 1
 
1.9%
Other values (40) 40
74.1%
2024-05-11T15:27:31.020640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 97
16.2%
0 90
15.1%
7 85
14.2%
2 81
13.6%
3 44
7.4%
5 40
6.7%
9 39
6.5%
8 35
 
5.9%
6 31
 
5.2%
4 28
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 500
83.8%
Dash Punctuation 97
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 90
18.0%
7 85
17.0%
2 81
16.2%
3 44
8.8%
5 40
8.0%
9 39
7.8%
8 35
 
7.0%
6 31
 
6.2%
4 28
 
5.6%
1 27
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 597
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 97
16.2%
0 90
15.1%
7 85
14.2%
2 81
13.6%
3 44
7.4%
5 40
6.7%
9 39
6.5%
8 35
 
5.9%
6 31
 
5.2%
4 28
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 597
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 97
16.2%
0 90
15.1%
7 85
14.2%
2 81
13.6%
3 44
7.4%
5 40
6.7%
9 39
6.5%
8 35
 
5.9%
6 31
 
5.2%
4 28
 
4.7%

소재지면적
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
49 
0
7 
203
 
1
54
 
1

Length

Max length4
Median length4
Mean length3.5862069
Min length1

Unique

Unique2 ?
Unique (%)3.4%

Sample

1st row203
2nd row0
3rd row54
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
84.5%
0 7
 
12.1%
203 1
 
1.7%
54 1
 
1.7%

Length

2024-05-11T15:27:31.232054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:31.434165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
84.5%
0 7
 
12.1%
203 1
 
1.7%
54 1
 
1.7%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

지번주소
Text

MISSING 

Distinct55
Distinct (%)96.5%
Missing1
Missing (%)1.7%
Memory size596.0 B
2024-05-11T15:27:31.841720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length36
Mean length28.807018
Min length18

Characters and Unicode

Total characters1642
Distinct characters133
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

Unique53 ?
Unique (%)93.0%

Sample

1st row서울특별시 용산구 청파동3가 109-16 번지
2nd row서울특별시 용산구 이촌동 302-52 번지
3rd row서울특별시 용산구 한남동 639-8 번지
4th row서울특별시 용산구 후암동 116-34번지
5th row서울특별시 용산구 후암동 129번지 105호
ValueCountFrequency (%)
서울특별시 57
 
18.2%
용산구 57
 
18.2%
한강로3가 8
 
2.5%
이촌동 7
 
2.2%
한강로2가 7
 
2.2%
이태원동 6
 
1.9%
1층 6
 
1.9%
한남동 5
 
1.6%
청파동3가 4
 
1.3%
래미안용산 4
 
1.3%
Other values (121) 153
48.7%
2024-05-11T15:27:32.444840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
 
17.4%
산 74
 
4.5%
1 72
 
4.4%
용 72
 
4.4%
2 65
 
4.0%
시 59
 
3.6%
서 57
 
3.5%
특 57
 
3.5%
별 57
 
3.5%
구 57
 
3.5%
Other values (123) 786
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 960
58.5%
Decimal Number 335
 
20.4%
Space Separator 286
 
17.4%
Dash Punctuation 51
 
3.1%
Uppercase Letter 6
 
0.4%
Other Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 74
 
7.7%
용 72
 
7.5%
시 59
 
6.1%
서 57
 
5.9%
특 57
 
5.9%
별 57
 
5.9%
구 57
 
5.9%
울 57
 
5.9%
동 43
 
4.5%
지 38
 
4.0%
Other values (105) 389
40.5%
Decimal Number
ValueCountFrequency (%)
1 72
21.5%
2 65
19.4%
0 47
14.0%
3 43
12.8%
4 27
 
8.1%
6 21
 
6.3%
9 18
 
5.4%
8 16
 
4.8%
7 15
 
4.5%
5 11
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
B 2
33.3%
D 1
 
16.7%
Space Separator
ValueCountFrequency (%)
286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 960
58.5%
Common 676
41.2%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 74
 
7.7%
용 72
 
7.5%
시 59
 
6.1%
서 57
 
5.9%
특 57
 
5.9%
별 57
 
5.9%
구 57
 
5.9%
울 57
 
5.9%
동 43
 
4.5%
지 38
 
4.0%
Other values (105) 389
40.5%
Common
ValueCountFrequency (%)
286
42.3%
1 72
 
10.7%
2 65
 
9.6%
- 51
 
7.5%
0 47
 
7.0%
3 43
 
6.4%
4 27
 
4.0%
6 21
 
3.1%
9 18
 
2.7%
8 16
 
2.4%
Other values (5) 30
 
4.4%
Latin
ValueCountFrequency (%)
A 3
50.0%
B 2
33.3%
D 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 960
58.5%
ASCII 682
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
41.9%
1 72
 
10.6%
2 65
 
9.5%
- 51
 
7.5%
0 47
 
6.9%
3 43
 
6.3%
4 27
 
4.0%
6 21
 
3.1%
9 18
 
2.6%
8 16
 
2.3%
Other values (8) 36
 
5.3%
Hangul
ValueCountFrequency (%)
산 74
 
7.7%
용 72
 
7.5%
시 59
 
6.1%
서 57
 
5.9%
특 57
 
5.9%
별 57
 
5.9%
구 57
 
5.9%
울 57
 
5.9%
동 43
 
4.5%
지 38
 
4.0%
Other values (105) 389
40.5%

도로명주소
Text

MISSING 

Distinct55
Distinct (%)100.0%
Missing3
Missing (%)5.2%
Memory size596.0 B
2024-05-11T15:27:32.897839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length37.236364
Min length22

Characters and Unicode

Total characters2048
Distinct characters158
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 한강대로104길 62 (후암동)
2nd row서울특별시 용산구 두텁바위로1길 107, 1층 105호 (후암동)
3rd row서울특별시 용산구 청파로47길 40 (청파동2가)
4th row서울특별시 용산구 이촌로 224 (이촌동)
5th row서울특별시 용산구 원효로 51, 110호 (산천동)
ValueCountFrequency (%)
서울특별시 55
 
13.8%
용산구 55
 
13.8%
1층 10
 
2.5%
한강대로 9
 
2.3%
한강로3가 8
 
2.0%
한강로2가 7
 
1.8%
이촌동 6
 
1.5%
17 6
 
1.5%
이촌로 6
 
1.5%
이태원동 6
 
1.5%
Other values (156) 230
57.8%
2024-05-11T15:27:33.664165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
16.7%
1 80
 
3.9%
로 74
 
3.6%
산 74
 
3.6%
용 72
 
3.5%
, 66
 
3.2%
2 61
 
3.0%
서 60
 
2.9%
시 57
 
2.8%
( 56
 
2.7%
Other values (148) 1105
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1193
58.3%
Space Separator 343
 
16.7%
Decimal Number 314
 
15.3%
Other Punctuation 66
 
3.2%
Open Punctuation 56
 
2.7%
Close Punctuation 56
 
2.7%
Dash Punctuation 11
 
0.5%
Uppercase Letter 7
 
0.3%
Lowercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 74
 
6.2%
산 74
 
6.2%
용 72
 
6.0%
서 60
 
5.0%
시 57
 
4.8%
특 55
 
4.6%
구 55
 
4.6%
별 55
 
4.6%
울 55
 
4.6%
동 48
 
4.0%
Other values (128) 588
49.3%
Decimal Number
ValueCountFrequency (%)
1 80
25.5%
2 61
19.4%
0 41
13.1%
3 36
11.5%
5 21
 
6.7%
7 19
 
6.1%
4 18
 
5.7%
6 15
 
4.8%
8 12
 
3.8%
9 11
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
A 3
42.9%
B 3
42.9%
D 1
 
14.3%
Space Separator
ValueCountFrequency (%)
343
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1193
58.3%
Common 847
41.4%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 74
 
6.2%
산 74
 
6.2%
용 72
 
6.0%
서 60
 
5.0%
시 57
 
4.8%
특 55
 
4.6%
구 55
 
4.6%
별 55
 
4.6%
울 55
 
4.6%
동 48
 
4.0%
Other values (128) 588
49.3%
Common
ValueCountFrequency (%)
343
40.5%
1 80
 
9.4%
, 66
 
7.8%
2 61
 
7.2%
( 56
 
6.6%
) 56
 
6.6%
0 41
 
4.8%
3 36
 
4.3%
5 21
 
2.5%
7 19
 
2.2%
Other values (6) 68
 
8.0%
Latin
ValueCountFrequency (%)
A 3
37.5%
B 3
37.5%
D 1
 
12.5%
a 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1193
58.3%
ASCII 855
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
343
40.1%
1 80
 
9.4%
, 66
 
7.7%
2 61
 
7.1%
( 56
 
6.5%
) 56
 
6.5%
0 41
 
4.8%
3 36
 
4.2%
5 21
 
2.5%
7 19
 
2.2%
Other values (10) 76
 
8.9%
Hangul
ValueCountFrequency (%)
로 74
 
6.2%
산 74
 
6.2%
용 72
 
6.0%
서 60
 
5.0%
시 57
 
4.8%
특 55
 
4.6%
구 55
 
4.6%
별 55
 
4.6%
울 55
 
4.6%
동 48
 
4.0%
Other values (128) 588
49.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)58.2%
Missing3
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean4367.9818
Minimum4309
Maximum4427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T15:27:33.916074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4309
5-th percentile4313
Q14334
median4378
Q34390.5
95-th percentile4425
Maximum4427
Range118
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation35.57178
Coefficient of variation (CV)0.0081437564
Kurtosis-1.0586527
Mean4367.9818
Median Absolute Deviation (MAD)24
Skewness-0.10571348
Sum240239
Variance1265.3515
MonotonicityNot monotonic
2024-05-11T15:27:34.241487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4378 6
 
10.3%
4387 5
 
8.6%
4402 4
 
6.9%
4313 3
 
5.2%
4425 3
 
5.2%
4322 2
 
3.4%
4338 2
 
3.4%
4406 2
 
3.4%
4328 2
 
3.4%
4333 2
 
3.4%
Other values (22) 24
41.4%
(Missing) 3
 
5.2%
ValueCountFrequency (%)
4309 1
 
1.7%
4310 1
 
1.7%
4313 3
5.2%
4315 1
 
1.7%
4317 1
 
1.7%
4322 2
3.4%
4328 2
3.4%
4332 1
 
1.7%
4333 2
3.4%
4335 1
 
1.7%
ValueCountFrequency (%)
4427 1
 
1.7%
4426 1
 
1.7%
4425 3
5.2%
4424 1
 
1.7%
4406 2
 
3.4%
4402 4
6.9%
4395 1
 
1.7%
4391 1
 
1.7%
4390 1
 
1.7%
4387 5
8.6%

사업장명
Text

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T15:27:34.698289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length6.0517241
Min length3

Characters and Unicode

Total characters351
Distinct characters122
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)93.1%

Sample

1st row청은약국
2nd row이레팜약국
3rd row용산대학약국
4th row김숙영약국
5th row용산동물약국
ValueCountFrequency (%)
센트럴파란문약국 2
 
3.2%
3층파란문약국 2
 
3.2%
빙고약국 1
 
1.6%
애플약국 1
 
1.6%
청은약국 1
 
1.6%
해밀톤약국 1
 
1.6%
한국구일온누리약국 1
 
1.6%
이레팜약국 1
 
1.6%
분홍약국 1
 
1.6%
이촌사랑약국 1
 
1.6%
Other values (51) 51
81.0%
2024-05-11T15:27:35.465937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 61
 
17.4%
약 58
 
16.5%
이 9
 
2.6%
온 7
 
2.0%
리 7
 
2.0%
누 7
 
2.0%
라 6
 
1.7%
파 5
 
1.4%
5
 
1.4%
한 5
 
1.4%
Other values (112) 181
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 328
93.4%
Lowercase Letter 13
 
3.7%
Space Separator 5
 
1.4%
Decimal Number 5
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 61
 
18.6%
약 58
 
17.7%
이 9
 
2.7%
온 7
 
2.1%
리 7
 
2.1%
누 7
 
2.1%
라 6
 
1.8%
파 5
 
1.5%
한 5
 
1.5%
일 4
 
1.2%
Other values (100) 159
48.5%
Lowercase Letter
ValueCountFrequency (%)
a 4
30.8%
c 3
23.1%
r 1
 
7.7%
o 1
 
7.7%
p 1
 
7.7%
h 1
 
7.7%
m 1
 
7.7%
y 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
5 1
 
20.0%
6 1
 
20.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 328
93.4%
Latin 13
 
3.7%
Common 10
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 61
 
18.6%
약 58
 
17.7%
이 9
 
2.7%
온 7
 
2.1%
리 7
 
2.1%
누 7
 
2.1%
라 6
 
1.8%
파 5
 
1.5%
한 5
 
1.5%
일 4
 
1.2%
Other values (100) 159
48.5%
Latin
ValueCountFrequency (%)
a 4
30.8%
c 3
23.1%
r 1
 
7.7%
o 1
 
7.7%
p 1
 
7.7%
h 1
 
7.7%
m 1
 
7.7%
y 1
 
7.7%
Common
ValueCountFrequency (%)
5
50.0%
3 3
30.0%
5 1
 
10.0%
6 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 328
93.4%
ASCII 23
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 61
 
18.6%
약 58
 
17.7%
이 9
 
2.7%
온 7
 
2.1%
리 7
 
2.1%
누 7
 
2.1%
라 6
 
1.8%
파 5
 
1.5%
한 5
 
1.5%
일 4
 
1.2%
Other values (100) 159
48.5%
ASCII
ValueCountFrequency (%)
5
21.7%
a 4
17.4%
c 3
13.0%
3 3
13.0%
r 1
 
4.3%
5 1
 
4.3%
6 1
 
4.3%
o 1
 
4.3%
p 1
 
4.3%
h 1
 
4.3%
Other values (2) 2
 
8.7%

최종수정일자
Date

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2010-01-12 16:31:48
Maximum2024-04-19 19:23:18
2024-05-11T15:27:35.745690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:36.023163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
I
43 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 43
74.1%
U 15
 
25.9%

Length

2024-05-11T15:27:36.300475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:36.527289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 43
74.1%
u 15
 
25.9%

데이터갱신일자
Date

Distinct35
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:01:00
2024-05-11T15:27:36.822469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:27:37.093917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)85.2%
Missing4
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean197775.14
Minimum195515.18
Maximum200429.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T15:27:37.371244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum195515.18
5-th percentile196210.99
Q1197011
median197384.05
Q3198609.64
95-th percentile200297.73
Maximum200429.99
Range4914.8035
Interquartile range (IQR)1598.6395

Descriptive statistics

Standard deviation1238.2834
Coefficient of variation (CV)0.0062610668
Kurtosis-0.33053307
Mean197775.14
Median Absolute Deviation (MAD)642.74826
Skewness0.58655424
Sum10679858
Variance1533345.7
MonotonicityNot monotonic
2024-05-11T15:27:37.629151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
197011.0 2
 
3.4%
196861.350875235 2
 
3.4%
198165.767858385 2
 
3.4%
197071.403205622 2
 
3.4%
198825.353525608 2
 
3.4%
200347.417101715 2
 
3.4%
197056.728931087 2
 
3.4%
196534.284541859 2
 
3.4%
195547.140326252 1
 
1.7%
197011.737528847 1
 
1.7%
Other values (36) 36
62.1%
(Missing) 4
 
6.9%
ValueCountFrequency (%)
195515.18314741 1
1.7%
195547.140326252 1
1.7%
195981.203408641 1
1.7%
196334.724063159 1
1.7%
196370.746398773 1
1.7%
196534.284541859 2
3.4%
196704.745506143 1
1.7%
196762.077394917 1
1.7%
196861.350875235 2
3.4%
196961.591827425 1
1.7%
ValueCountFrequency (%)
200429.986650365 1
1.7%
200347.417101715 2
3.4%
200270.981734911 1
1.7%
199924.584895518 1
1.7%
199453.471294286 1
1.7%
199426.149287344 1
1.7%
199397.088702538 1
1.7%
199387.896366941 1
1.7%
199117.051682138 1
1.7%
198983.520675068 1
1.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)85.2%
Missing4
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean447945.27
Minimum446185.24
Maximum449762.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T15:27:37.867515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446185.24
5-th percentile446228.91
Q1447268.19
median447955.92
Q3448752.95
95-th percentile449415.96
Maximum449762.09
Range3576.848
Interquartile range (IQR)1484.7662

Descriptive statistics

Standard deviation970.34507
Coefficient of variation (CV)0.0021662134
Kurtosis-0.67217005
Mean447945.27
Median Absolute Deviation (MAD)729.2034
Skewness-0.028102029
Sum24189045
Variance941569.55
MonotonicityNot monotonic
2024-05-11T15:27:38.145678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
447404.0 2
 
3.4%
447226.720509901 2
 
3.4%
446185.244544796 2
 
3.4%
447073.62284187 2
 
3.4%
449002.087665382 2
 
3.4%
447889.426011757 2
 
3.4%
447077.126289262 2
 
3.4%
448086.811978621 2
 
3.4%
447976.775939762 1
 
1.7%
447430.100250997 1
 
1.7%
Other values (36) 36
62.1%
(Missing) 4
 
6.9%
ValueCountFrequency (%)
446185.244544796 2
3.4%
446202.36502252 1
1.7%
446243.198701013 1
1.7%
446262.544080318 1
1.7%
446437.197878548 1
1.7%
446872.660810651 1
1.7%
447073.62284187 2
3.4%
447077.126289262 2
3.4%
447084.797083983 1
1.7%
447226.720509901 2
3.4%
ValueCountFrequency (%)
449762.092549488 1
1.7%
449724.913626587 1
1.7%
449622.635781752 1
1.7%
449304.668172052 1
1.7%
449283.874666667 1
1.7%
449248.150199952 1
1.7%
449201.432096601 1
1.7%
449173.291375495 1
1.7%
449161.041937749 1
1.7%
449002.087665382 2
3.4%

축산업무구분명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
동물약국
38 
<NA>
20 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물약국 38
65.5%
<NA> 20
34.5%

Length

2024-05-11T15:27:38.432480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:39.020556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 38
65.5%
na 20
34.5%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

축산일련번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

권리주체일련번호
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
0
38 
<NA>
20 

Length

Max length4
Median length1
Mean length2.0344828
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 38
65.5%
<NA> 20
34.5%

Length

2024-05-11T15:27:39.231124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:39.432352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 38
65.5%
na 20
34.5%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
56 
0
 
2

Length

Max length4
Median length4
Mean length3.8965517
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> 56
96.6%
0 2
 
3.4%

Length

2024-05-11T15:27:39.650749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:27:39.867820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
96.6%
0 2
 
3.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
0302000030200000112004000120040518<NA>3폐업2폐업20130809<NA><NA><NA>717-6415203<NA>서울특별시 용산구 청파동3가 109-16 번지<NA><NA>청은약국2013-08-09 10:57:53I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
1302000030200000112004000220040701<NA>3폐업2폐업20100112<NA><NA><NA>792-26220<NA>서울특별시 용산구 이촌동 302-52 번지<NA><NA>이레팜약국2010-01-12 16:31:48I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
2302000030200000112005000120050518<NA>3폐업2폐업20110711<NA><NA><NA>02-795-454954<NA>서울특별시 용산구 한남동 639-8 번지<NA><NA>용산대학약국2011-07-11 17:29:47I2018-08-31 23:59:59.0<NA><NA><NA>동물약국<NA><NA>0<NA>
3302000030200000112011000120110616<NA>3폐업2폐업20141017<NA><NA><NA>754-17550<NA>서울특별시 용산구 후암동 116-34번지서울특별시 용산구 한강대로104길 62 (후암동)4333김숙영약국2014-10-17 16:49:04I2018-08-31 23:59:59.0<NA>197773.224501449762.092549동물약국<NA><NA>0<NA>
4302000030200000112013000120130528<NA>3폐업2폐업20191025<NA><NA><NA>02-771-5685<NA><NA>서울특별시 용산구 후암동 129번지 105호서울특별시 용산구 두텁바위로1길 107, 1층 105호 (후암동)4333용산동물약국2019-10-25 14:19:14U2019-10-27 02:40:00.0<NA>197804.282561449622.635782동물약국<NA><NA>0<NA>
5302000030200000112013000220130611<NA>1영업/정상0정상<NA><NA><NA><NA>02-713-8716<NA><NA>서울특별시 용산구 청파동2가 71-14번지서울특별시 용산구 청파로47길 40 (청파동2가)4309메디팜 미래로 약국2013-06-11 13:33:38I2018-08-31 23:59:59.0<NA>197126.773846449173.291375동물약국<NA><NA>0<NA>
6302000030200000112013000320130611<NA>1영업/정상0정상<NA><NA><NA><NA>02-792-7881<NA><NA>서울특별시 용산구 이촌동 300-27번지 2층서울특별시 용산구 이촌로 224 (이촌동)4427이층성장약국2013-06-11 13:44:28I2018-08-31 23:59:59.0<NA>197450.277644446437.197879동물약국<NA><NA>0<NA>
7302000030200000112013000420130801<NA>3폐업2폐업20150209<NA><NA><NA>02-718-3673<NA><NA>서울특별시 용산구 산천동 202-110번지서울특별시 용산구 원효로 51, 110호 (산천동)4359온누리금보약국2015-02-09 17:03:44I2018-08-31 23:59:59.0<NA>195515.183147447956.522891동물약국<NA><NA>0<NA>
8302000030200000112013000520130808<NA>3폐업2폐업20160913<NA><NA><NA>02-3275-3723<NA><NA>서울특별시 용산구 도원동 23번지 삼성래미안A 상가동 212호서울특별시 용산구 새창로 70, 상가동 212호 (도원동, 삼성래미안A)4354행복을주는약국2016-09-13 15:05:55I2018-08-31 23:59:59.0<NA>195981.203409448450.307441동물약국<NA><NA>0<NA>
9302000030200000112013000620130809<NA>3폐업2폐업20150514<NA><NA><NA>02-6407-7234<NA><NA>서울특별시 용산구 원효로2가 94-2번지 1층서울특별시 용산구 원효로 166, 1층 (원효로2가)4366원효약국2015-05-14 17:24:15I2018-08-31 23:59:59.0<NA>196534.284542448086.811979동물약국<NA><NA>0<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총인원
48302000030200000112022000520220804<NA>1영업/정상0정상<NA><NA><NA><NA>02-3272-1117<NA><NA>서울특별시 용산구 원효로1가 133-3 리첸시아 용산 128-1호서울특별시 용산구 백범로 341, 128-1호 (원효로1가, 리첸시아 용산)4315솔약국2022-08-04 10:30:04I2021-12-08 00:06:00.0<NA>197045.849468448447.558967<NA><NA><NA><NA><NA>
49302000030200000112022000620220822<NA>1영업/정상0정상<NA><NA><NA><NA>02-702-5632<NA><NA>서울특별시 용산구 문배동 24-8 프라임펠리스 102호서울특별시 용산구 백범로90길 38, 102호 (문배동, 프라임펠리스)4369라임약국2022-08-22 14:30:56I2021-12-07 22:04:00.0<NA>197238.047761448273.211113<NA><NA><NA><NA><NA>
5030200003020000011202300012023-04-11<NA>1영업/정상0정상<NA><NA><NA><NA>070886077600<NA>서울특별시 용산구 한남동 638-4서울특별시 용산구 대사관로 60 (한남동)4402이화약국2023-04-13 19:01:48U2022-12-03 23:05:00.0<NA>200347.417102447889.426012<NA><NA><NA><NA><NA>
5130200003020000011202300022023-05-12<NA>1영업/정상0정상<NA><NA><NA><NA>027151514<NA><NA>서울특별시 용산구 산천동 202 삼성테마트서울특별시 용산구 원효로 51, 250~253호 (산천동, 삼성테마트)4359휴베이스 새봄약국2023-05-12 09:09:49I2022-12-04 23:04:00.0<NA>195547.140326447976.77594<NA><NA><NA><NA><NA>
5230200003020000011202300032023-05-23<NA>1영업/정상0정상<NA><NA><NA><NA>02-796-9008<NA><NA>서울특별시 용산구 한강로2가 420 용산푸르지오써밋서울특별시 용산구 한강대로 69, 상가동 3층 305-1호 (한강로2가, 용산푸르지오써밋)43783층파란문약국2023-05-23 11:24:27I2022-12-04 22:05:00.0<NA>196861.350875447226.72051<NA><NA><NA><NA><NA>
5330200003020000011202300042023-07-12<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 효창동 287 용산 롯데캐슬 센터포레서울특별시 용산구 백범로 313, 208동 지하3층 111호 (효창동, 용산 롯데캐슬 센터포레)4317매일약국2023-07-12 15:37:48I2022-12-06 23:05:00.0<NA>196704.745506448591.786383<NA><NA><NA><NA><NA>
5430200003020000011202300052023-08-28<NA>1영업/정상0정상<NA><NA><NA><NA>02-3785-22020<NA>서울특별시 용산구 한강로2가 422 래미안용산 더 센트럴서울특별시 용산구 한강대로 95, B동 2층 228호 (한강로2가, 래미안용산 더 센트럴)4378하늘약국2023-08-28 15:49:13I2022-12-07 21:00:00.0<NA>197011.737529447430.100251<NA><NA><NA><NA><NA>
5530200003020000011202300062023-09-26<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 98서울특별시 용산구 서빙고로 17, 센트럴파크 제몰동 2층 2016호 (한강로3가)4387빙고약국2023-09-26 12:51:30I2022-12-08 22:08:00.0<NA>197056.728931447077.126289<NA><NA><NA><NA><NA>
5630200003020000011202400012024-02-13<NA>1영업/정상0정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 98서울특별시 용산구 서빙고로 17, 센트럴파크해링턴스퀘어 a동 2층 2073-1호 (한강로3가)4387용산매일여는약국2024-02-13 08:40:41I2023-12-01 23:05:00.0<NA>197056.728931447077.126289<NA><NA><NA><NA><NA>
5730200003020000011202400022024-04-19<NA>1영업/정상0정상<NA><NA><NA><NA>027904080<NA><NA>서울특별시 용산구 한남동 631-17서울특별시 용산구 대사관로30길 17 (한남동)4402옵티마찬미약국2024-04-19 19:23:18I2023-12-03 22:01:00.0<NA>200429.98665447801.120539<NA><NA><NA><NA><NA>