Overview

Dataset statistics

Number of variables27
Number of observations1097
Missing cells10481
Missing cells (%)35.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory246.5 KiB
Average record size in memory230.1 B

Variable types

Categorical6
Text6
DateTime4
Unsupported6
Numeric5

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),약국영업면적,지정일자
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-16325/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 1097 (100.0%) missing valuesMissing
폐업일자 has 771 (70.3%) missing valuesMissing
휴업시작일자 has 1097 (100.0%) missing valuesMissing
휴업종료일자 has 1097 (100.0%) missing valuesMissing
재개업일자 has 1097 (100.0%) missing valuesMissing
전화번호 has 215 (19.6%) missing valuesMissing
소재지면적 has 1097 (100.0%) missing valuesMissing
소재지우편번호 has 264 (24.1%) missing valuesMissing
지번주소 has 39 (3.6%) missing valuesMissing
도로명주소 has 611 (55.7%) missing valuesMissing
도로명우편번호 has 611 (55.7%) missing valuesMissing
업태구분명 has 1097 (100.0%) missing valuesMissing
좌표정보(X) has 596 (54.3%) missing valuesMissing
좌표정보(Y) has 596 (54.3%) missing valuesMissing
약국영업면적 has 98 (8.9%) missing valuesMissing
지정일자 has 98 (8.9%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 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
약국영업면적 has 366 (33.4%) zerosZeros

Reproduction

Analysis started2024-04-06 13:08:43.467651
Analysis finished2024-04-06 13:08:44.714655
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
3150000
1097 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 1097
100.0%

Length

2024-04-06T22:08:44.844339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:08:45.015958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 1097
100.0%

관리번호
Text

UNIQUE 

Distinct1097
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2024-04-06T22:08:45.348043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters27425
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1097 ?
Unique (%)100.0%

Sample

1st rowPHMD119633150037084000001
2nd rowPHMD119673150037084000001
3rd rowPHMD119693150037084000001
4th rowPHMD119693150037084000002
5th rowPHMD119693150037084000003
ValueCountFrequency (%)
phmd119633150037084000001 1
 
0.1%
phmd120093150037084000008 1
 
0.1%
phmd120093150037084000002 1
 
0.1%
phmd120093150037084000003 1
 
0.1%
phmd120093150037084000004 1
 
0.1%
phmd120093150037084000005 1
 
0.1%
phmd120093150037084000032 1
 
0.1%
phmd120093150037084000006 1
 
0.1%
phmd120093150037084000009 1
 
0.1%
phmd120093150037084000031 1
 
0.1%
Other values (1087) 1087
99.1%
2024-04-06T22:08:46.104722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9392
34.2%
1 3416
 
12.5%
3 2506
 
9.1%
8 1418
 
5.2%
7 1357
 
4.9%
4 1342
 
4.9%
5 1306
 
4.8%
2 1251
 
4.6%
P 1097
 
4.0%
H 1097
 
4.0%
Other values (4) 3243
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23037
84.0%
Uppercase Letter 4388
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9392
40.8%
1 3416
 
14.8%
3 2506
 
10.9%
8 1418
 
6.2%
7 1357
 
5.9%
4 1342
 
5.8%
5 1306
 
5.7%
2 1251
 
5.4%
9 848
 
3.7%
6 201
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1097
25.0%
H 1097
25.0%
M 1097
25.0%
D 1097
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23037
84.0%
Latin 4388
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9392
40.8%
1 3416
 
14.8%
3 2506
 
10.9%
8 1418
 
6.2%
7 1357
 
5.9%
4 1342
 
5.8%
5 1306
 
5.7%
2 1251
 
5.4%
9 848
 
3.7%
6 201
 
0.9%
Latin
ValueCountFrequency (%)
P 1097
25.0%
H 1097
25.0%
M 1097
25.0%
D 1097
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27425
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9392
34.2%
1 3416
 
12.5%
3 2506
 
9.1%
8 1418
 
5.2%
7 1357
 
4.9%
4 1342
 
4.9%
5 1306
 
4.8%
2 1251
 
4.6%
P 1097
 
4.0%
H 1097
 
4.0%
Other values (4) 3243
 
11.8%

인허가일자
Date

Distinct1006
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum1963-11-28 00:00:00
Maximum2024-03-19 00:00:00
2024-04-06T22:08:46.339606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:08:46.577806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1097
Missing (%)100.0%
Memory size9.8 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
3
816 
1
281 

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 (%)
3 816
74.4%
1 281
 
25.6%

Length

2024-04-06T22:08:46.839911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:08:47.008842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 816
74.4%
1 281
 
25.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
폐업
816 
영업/정상
281 

Length

Max length5
Median length2
Mean length2.7684594
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 816
74.4%
영업/정상 281
 
25.6%

Length

2024-04-06T22:08:47.214194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:08:47.396619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 816
74.4%
영업/정상 281
 
25.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
3
816 
13
281 

Length

Max length2
Median length1
Mean length1.2561531
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 816
74.4%
13 281
 
25.6%

Length

2024-04-06T22:08:47.576743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:08:47.779819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 816
74.4%
13 281
 
25.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
폐업
816 
영업중
281 

Length

Max length3
Median length2
Mean length2.2561531
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 816
74.4%
영업중 281
 
25.6%

Length

2024-04-06T22:08:47.962522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:08:48.120562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 816
74.4%
영업중 281
 
25.6%

폐업일자
Date

MISSING 

Distinct297
Distinct (%)91.1%
Missing771
Missing (%)70.3%
Memory size8.7 KiB
Minimum2008-12-15 00:00:00
Maximum2024-02-14 00:00:00
2024-04-06T22:08:48.788324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:08:49.037195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1097
Missing (%)100.0%
Memory size9.8 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1097
Missing (%)100.0%
Memory size9.8 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1097
Missing (%)100.0%
Memory size9.8 KiB

전화번호
Text

MISSING 

Distinct699
Distinct (%)79.3%
Missing215
Missing (%)19.6%
Memory size8.7 KiB
2024-04-06T22:08:49.414898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.395692
Min length3

Characters and Unicode

Total characters10051
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

Unique563 ?
Unique (%)63.8%

Sample

1st row02-3664-3068
2nd row02-2602-3791
3rd row02-2602-3456
4th row02-2602-3467
5th row02-2605-2159
ValueCountFrequency (%)
02-2699-0456 5
 
0.6%
02-2661-6297 5
 
0.6%
2602-5269 5
 
0.6%
02-2651-7078 4
 
0.5%
02-3661-1076 4
 
0.5%
02-2693-1044 4
 
0.5%
2602-8006 4
 
0.5%
02-3663-6596 4
 
0.5%
02-2608-7452 4
 
0.5%
02-2661-2681 3
 
0.3%
Other values (689) 840
95.2%
2024-04-06T22:08:50.039836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1900
18.9%
- 1588
15.8%
6 1574
15.7%
0 1456
14.5%
5 614
 
6.1%
3 595
 
5.9%
1 510
 
5.1%
9 457
 
4.5%
7 457
 
4.5%
4 453
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8463
84.2%
Dash Punctuation 1588
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1900
22.5%
6 1574
18.6%
0 1456
17.2%
5 614
 
7.3%
3 595
 
7.0%
1 510
 
6.0%
9 457
 
5.4%
7 457
 
5.4%
4 453
 
5.4%
8 447
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 1588
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10051
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1900
18.9%
- 1588
15.8%
6 1574
15.7%
0 1456
14.5%
5 614
 
6.1%
3 595
 
5.9%
1 510
 
5.1%
9 457
 
4.5%
7 457
 
4.5%
4 453
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10051
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1900
18.9%
- 1588
15.8%
6 1574
15.7%
0 1456
14.5%
5 614
 
6.1%
3 595
 
5.9%
1 510
 
5.1%
9 457
 
4.5%
7 457
 
4.5%
4 453
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1097
Missing (%)100.0%
Memory size9.8 KiB

소재지우편번호
Text

MISSING 

Distinct145
Distinct (%)17.4%
Missing264
Missing (%)24.1%
Memory size8.7 KiB
2024-04-06T22:08:50.444082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0072029
Min length6

Characters and Unicode

Total characters5004
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

Unique45 ?
Unique (%)5.4%

Sample

1st row157861
2nd row157908
3rd row157871
4th row157884
5th row157880
ValueCountFrequency (%)
157033 32
 
3.8%
157884 31
 
3.7%
157812 27
 
3.2%
157928 24
 
2.9%
157853 21
 
2.5%
157897 20
 
2.4%
157849 19
 
2.3%
157846 18
 
2.2%
157847 17
 
2.0%
157851 17
 
2.0%
Other values (135) 607
72.9%
2024-04-06T22:08:51.076183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1061
21.2%
7 1009
20.2%
5 968
19.3%
8 687
13.7%
9 280
 
5.6%
0 238
 
4.8%
3 231
 
4.6%
2 225
 
4.5%
4 165
 
3.3%
6 134
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4998
99.9%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1061
21.2%
7 1009
20.2%
5 968
19.4%
8 687
13.7%
9 280
 
5.6%
0 238
 
4.8%
3 231
 
4.6%
2 225
 
4.5%
4 165
 
3.3%
6 134
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5004
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1061
21.2%
7 1009
20.2%
5 968
19.3%
8 687
13.7%
9 280
 
5.6%
0 238
 
4.8%
3 231
 
4.6%
2 225
 
4.5%
4 165
 
3.3%
6 134
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1061
21.2%
7 1009
20.2%
5 968
19.3%
8 687
13.7%
9 280
 
5.6%
0 238
 
4.8%
3 231
 
4.6%
2 225
 
4.5%
4 165
 
3.3%
6 134
 
2.7%

지번주소
Text

MISSING 

Distinct803
Distinct (%)75.9%
Missing39
Missing (%)3.6%
Memory size8.7 KiB
2024-04-06T22:08:51.652269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length44
Mean length24.145558
Min length10

Characters and Unicode

Total characters25546
Distinct characters224
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique629 ?
Unique (%)59.5%

Sample

1st row서울특별시 강서구 염창동 250번지 17호
2nd row서울특별시 강서구 화곡8동 897번지 14호
3rd row서울특별시 강서구 화곡본동 98번지 60호
4th row서울특별시 강서구 화곡7동 362번지 83호
5th row서울특별시 강서구 화곡8동 341번지 63호
ValueCountFrequency (%)
서울특별시 1028
 
19.2%
강서구 1028
 
19.2%
화곡동 159
 
3.0%
1호 117
 
2.2%
등촌동 68
 
1.3%
1층 62
 
1.2%
마곡동 61
 
1.1%
2호 55
 
1.0%
공항동 53
 
1.0%
염창동 53
 
1.0%
Other values (733) 2661
49.8%
2024-04-06T22:08:52.408499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4379
17.1%
서 2074
 
8.1%
1 1197
 
4.7%
동 1068
 
4.2%
강 1044
 
4.1%
시 1035
 
4.1%
울 1034
 
4.0%
구 1030
 
4.0%
특 1028
 
4.0%
별 1028
 
4.0%
Other values (214) 10629
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15525
60.8%
Decimal Number 5512
 
21.6%
Space Separator 4379
 
17.1%
Dash Punctuation 81
 
0.3%
Uppercase Letter 14
 
0.1%
Other Punctuation 11
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Letter Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 2074
13.4%
동 1068
 
6.9%
강 1044
 
6.7%
시 1035
 
6.7%
울 1034
 
6.7%
구 1030
 
6.6%
특 1028
 
6.6%
별 1028
 
6.6%
지 986
 
6.4%
번 960
 
6.2%
Other values (184) 4238
27.3%
Decimal Number
ValueCountFrequency (%)
1 1197
21.7%
2 643
11.7%
6 560
10.2%
7 511
9.3%
4 501
9.1%
3 484
8.8%
0 471
 
8.5%
5 406
 
7.4%
8 400
 
7.3%
9 339
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
B 3
21.4%
N 2
14.3%
S 1
 
7.1%
J 1
 
7.1%
R 1
 
7.1%
U 1
 
7.1%
E 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
66.7%
o 1
 
16.7%
i 1
 
16.7%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
33.3%
Ⅰ 2
33.3%
Ⅱ 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
. 1
 
9.1%
Space Separator
ValueCountFrequency (%)
4379
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15525
60.8%
Common 9995
39.1%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 2074
13.4%
동 1068
 
6.9%
강 1044
 
6.7%
시 1035
 
6.7%
울 1034
 
6.7%
구 1030
 
6.6%
특 1028
 
6.6%
별 1028
 
6.6%
지 986
 
6.4%
번 960
 
6.2%
Other values (184) 4238
27.3%
Common
ValueCountFrequency (%)
4379
43.8%
1 1197
 
12.0%
2 643
 
6.4%
6 560
 
5.6%
7 511
 
5.1%
4 501
 
5.0%
3 484
 
4.8%
0 471
 
4.7%
5 406
 
4.1%
8 400
 
4.0%
Other values (6) 443
 
4.4%
Latin
ValueCountFrequency (%)
C 4
15.4%
e 4
15.4%
B 3
11.5%
Ⅲ 2
7.7%
N 2
7.7%
Ⅰ 2
7.7%
Ⅱ 2
7.7%
S 1
 
3.8%
J 1
 
3.8%
R 1
 
3.8%
Other values (4) 4
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15525
60.8%
ASCII 10015
39.2%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4379
43.7%
1 1197
 
12.0%
2 643
 
6.4%
6 560
 
5.6%
7 511
 
5.1%
4 501
 
5.0%
3 484
 
4.8%
0 471
 
4.7%
5 406
 
4.1%
8 400
 
4.0%
Other values (17) 463
 
4.6%
Hangul
ValueCountFrequency (%)
서 2074
13.4%
동 1068
 
6.9%
강 1044
 
6.7%
시 1035
 
6.7%
울 1034
 
6.7%
구 1030
 
6.6%
특 1028
 
6.6%
별 1028
 
6.6%
지 986
 
6.4%
번 960
 
6.2%
Other values (184) 4238
27.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
33.3%
Ⅰ 2
33.3%
Ⅱ 2
33.3%

도로명주소
Text

MISSING 

Distinct443
Distinct (%)91.2%
Missing611
Missing (%)55.7%
Memory size8.7 KiB
2024-04-06T22:08:52.863607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length32.32716
Min length22

Characters and Unicode

Total characters15711
Distinct characters259
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique409 ?
Unique (%)84.2%

Sample

1st row서울특별시 강서구 방화대로21길 76 (공항동)
2nd row서울특별시 강서구 화곡로 130, 2층 (화곡동)
3rd row서울특별시 강서구 강서로17길 141 (화곡동)
4th row서울특별시 강서구 양천로 601 (염창동)
5th row서울특별시 강서구 월정로30길 52 (화곡동)
ValueCountFrequency (%)
서울특별시 486
 
15.7%
강서구 486
 
15.7%
화곡동 176
 
5.7%
1층 158
 
5.1%
강서로 89
 
2.9%
등촌동 75
 
2.4%
마곡동 68
 
2.2%
양천로 57
 
1.8%
내발산동 50
 
1.6%
화곡로 48
 
1.5%
Other values (592) 1406
45.4%
2024-04-06T22:08:53.517647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2615
 
16.6%
서 1117
 
7.1%
1 738
 
4.7%
강 622
 
4.0%
동 534
 
3.4%
로 498
 
3.2%
시 496
 
3.2%
울 493
 
3.1%
( 490
 
3.1%
) 490
 
3.1%
Other values (249) 7618
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9069
57.7%
Space Separator 2615
 
16.6%
Decimal Number 2474
 
15.7%
Open Punctuation 490
 
3.1%
Close Punctuation 490
 
3.1%
Other Punctuation 480
 
3.1%
Dash Punctuation 57
 
0.4%
Uppercase Letter 26
 
0.2%
Letter Number 6
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1117
 
12.3%
강 622
 
6.9%
동 534
 
5.9%
로 498
 
5.5%
시 496
 
5.5%
울 493
 
5.4%
구 486
 
5.4%
별 486
 
5.4%
특 486
 
5.4%
곡 366
 
4.0%
Other values (218) 3485
38.4%
Uppercase Letter
ValueCountFrequency (%)
B 8
30.8%
A 5
19.2%
L 2
 
7.7%
C 2
 
7.7%
S 2
 
7.7%
U 1
 
3.8%
E 1
 
3.8%
X 1
 
3.8%
F 1
 
3.8%
Y 1
 
3.8%
Other values (2) 2
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 738
29.8%
2 259
 
10.5%
0 258
 
10.4%
3 237
 
9.6%
4 209
 
8.4%
6 207
 
8.4%
5 196
 
7.9%
7 165
 
6.7%
9 110
 
4.4%
8 95
 
3.8%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
33.3%
Ⅰ 2
33.3%
Ⅱ 2
33.3%
Space Separator
ValueCountFrequency (%)
2615
100.0%
Open Punctuation
ValueCountFrequency (%)
( 490
100.0%
Close Punctuation
ValueCountFrequency (%)
) 490
100.0%
Other Punctuation
ValueCountFrequency (%)
, 480
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9069
57.7%
Common 6610
42.1%
Latin 32
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1117
 
12.3%
강 622
 
6.9%
동 534
 
5.9%
로 498
 
5.5%
시 496
 
5.5%
울 493
 
5.4%
구 486
 
5.4%
별 486
 
5.4%
특 486
 
5.4%
곡 366
 
4.0%
Other values (218) 3485
38.4%
Common
ValueCountFrequency (%)
2615
39.6%
1 738
 
11.2%
( 490
 
7.4%
) 490
 
7.4%
, 480
 
7.3%
2 259
 
3.9%
0 258
 
3.9%
3 237
 
3.6%
4 209
 
3.2%
6 207
 
3.1%
Other values (6) 627
 
9.5%
Latin
ValueCountFrequency (%)
B 8
25.0%
A 5
15.6%
Ⅲ 2
 
6.2%
L 2
 
6.2%
C 2
 
6.2%
Ⅰ 2
 
6.2%
S 2
 
6.2%
Ⅱ 2
 
6.2%
U 1
 
3.1%
E 1
 
3.1%
Other values (5) 5
15.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9069
57.7%
ASCII 6636
42.2%
Number Forms 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2615
39.4%
1 738
 
11.1%
( 490
 
7.4%
) 490
 
7.4%
, 480
 
7.2%
2 259
 
3.9%
0 258
 
3.9%
3 237
 
3.6%
4 209
 
3.1%
6 207
 
3.1%
Other values (18) 653
 
9.8%
Hangul
ValueCountFrequency (%)
서 1117
 
12.3%
강 622
 
6.9%
동 534
 
5.9%
로 498
 
5.5%
시 496
 
5.5%
울 493
 
5.4%
구 486
 
5.4%
별 486
 
5.4%
특 486
 
5.4%
곡 366
 
4.0%
Other values (218) 3485
38.4%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
33.3%
Ⅰ 2
33.3%
Ⅱ 2
33.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct163
Distinct (%)33.5%
Missing611
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean21559.387
Minimum7505
Maximum157930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T22:08:53.726909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7527
Q17591
median7679.5
Q37766
95-th percentile157842
Maximum157930
Range150425
Interquartile range (IQR)175

Descriptive statistics

Standard deviation43549.72
Coefficient of variation (CV)2.0199888
Kurtosis5.9757547
Mean21559.387
Median Absolute Deviation (MAD)86.5
Skewness2.8197671
Sum10477862
Variance1.8965781 × 109
MonotonicityNot monotonic
2024-04-06T22:08:53.991848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7639 21
 
1.9%
7803 16
 
1.5%
7727 11
 
1.0%
7741 9
 
0.8%
7635 9
 
0.8%
7715 9
 
0.8%
7527 8
 
0.7%
7698 8
 
0.7%
7632 8
 
0.7%
7714 8
 
0.7%
Other values (153) 379
34.5%
(Missing) 611
55.7%
ValueCountFrequency (%)
7505 4
0.4%
7509 1
 
0.1%
7510 4
0.4%
7511 1
 
0.1%
7516 3
 
0.3%
7517 2
 
0.2%
7524 2
 
0.2%
7525 1
 
0.1%
7526 5
0.5%
7527 8
0.7%
ValueCountFrequency (%)
157930 3
0.3%
157925 1
 
0.1%
157923 2
0.2%
157916 2
0.2%
157910 1
 
0.1%
157909 1
 
0.1%
157908 1
 
0.1%
157897 2
0.2%
157880 1
 
0.1%
157872 3
0.3%

사업장명
Text

Distinct705
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
2024-04-06T22:08:54.598503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.9307201
Min length3

Characters and Unicode

Total characters5409
Distinct characters321
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

Unique484 ?
Unique (%)44.1%

Sample

1st row신설약국
2nd row손약국
3rd row화성사약국
4th row화곡대성당약국
5th row화곡중앙약국
ValueCountFrequency (%)
창대약국 8
 
0.7%
개화약국 8
 
0.7%
선약국 7
 
0.6%
한우리약국 7
 
0.6%
푸른약국 6
 
0.5%
새미래약국 6
 
0.5%
마곡정문약국 6
 
0.5%
늘푸른약국 6
 
0.5%
월드팜약국 6
 
0.5%
일신약국 5
 
0.5%
Other values (696) 1037
94.1%
2024-04-06T22:08:55.364492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 1108
20.5%
약 1097
20.3%
리 99
 
1.8%
화 79
 
1.5%
한 70
 
1.3%
온 66
 
1.2%
강 61
 
1.1%
서 59
 
1.1%
누 59
 
1.1%
메 53
 
1.0%
Other values (311) 2658
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5316
98.3%
Decimal Number 59
 
1.1%
Uppercase Letter 17
 
0.3%
Lowercase Letter 10
 
0.2%
Space Separator 5
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1108
20.8%
약 1097
20.6%
리 99
 
1.9%
화 79
 
1.5%
한 70
 
1.3%
온 66
 
1.2%
강 61
 
1.1%
서 59
 
1.1%
누 59
 
1.1%
메 53
 
1.0%
Other values (287) 2565
48.3%
Uppercase Letter
ValueCountFrequency (%)
P 4
23.5%
V 3
17.6%
C 3
17.6%
I 3
17.6%
N 1
 
5.9%
S 1
 
5.9%
K 1
 
5.9%
O 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 12
20.3%
5 12
20.3%
3 11
18.6%
1 11
18.6%
6 10
16.9%
8 2
 
3.4%
9 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
40.0%
k 2
20.0%
m 1
 
10.0%
r 1
 
10.0%
a 1
 
10.0%
h 1
 
10.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5316
98.3%
Common 66
 
1.2%
Latin 27
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1108
20.8%
약 1097
20.6%
리 99
 
1.9%
화 79
 
1.5%
한 70
 
1.3%
온 66
 
1.2%
강 61
 
1.1%
서 59
 
1.1%
누 59
 
1.1%
메 53
 
1.0%
Other values (287) 2565
48.3%
Latin
ValueCountFrequency (%)
P 4
14.8%
o 4
14.8%
V 3
11.1%
C 3
11.1%
I 3
11.1%
k 2
7.4%
N 1
 
3.7%
m 1
 
3.7%
r 1
 
3.7%
a 1
 
3.7%
Other values (4) 4
14.8%
Common
ValueCountFrequency (%)
2 12
18.2%
5 12
18.2%
3 11
16.7%
1 11
16.7%
6 10
15.2%
5
7.6%
8 2
 
3.0%
9 1
 
1.5%
) 1
 
1.5%
( 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5316
98.3%
ASCII 93
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 1108
20.8%
약 1097
20.6%
리 99
 
1.9%
화 79
 
1.5%
한 70
 
1.3%
온 66
 
1.2%
강 61
 
1.1%
서 59
 
1.1%
누 59
 
1.1%
메 53
 
1.0%
Other values (287) 2565
48.3%
ASCII
ValueCountFrequency (%)
2 12
12.9%
5 12
12.9%
3 11
11.8%
1 11
11.8%
6 10
10.8%
5
 
5.4%
P 4
 
4.3%
o 4
 
4.3%
V 3
 
3.2%
C 3
 
3.2%
Other values (14) 18
19.4%

최종수정일자
Date

Distinct616
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2008-12-02 10:58:31
Maximum2024-04-01 10:28:59
2024-04-06T22:08:55.617911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:08:55.867787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
I
894 
U
203 

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 894
81.5%
U 203
 
18.5%

Length

2024-04-06T22:08:56.085761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:08:56.267863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 894
81.5%
u 203
 
18.5%

데이터갱신일자
Date

Distinct211
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size8.7 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-06T22:08:56.439559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:08:56.685841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1097
Missing (%)100.0%
Memory size9.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct330
Distinct (%)65.9%
Missing596
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean185949.36
Minimum182000.31
Maximum189098.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T22:08:56.948183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182000.31
5-th percentile183250.67
Q1185438.78
median185925.07
Q3186875.99
95-th percentile187999.33
Maximum189098.81
Range7098.4965
Interquartile range (IQR)1437.217

Descriptive statistics

Standard deviation1421.3279
Coefficient of variation (CV)0.0076436285
Kurtosis-0.24508376
Mean185949.36
Median Absolute Deviation (MAD)725.95269
Skewness-0.36216712
Sum93160632
Variance2020172.9
MonotonicityNot monotonic
2024-04-06T22:08:57.232308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187622.448701892 7
 
0.6%
185438.777192645 7
 
0.6%
186344.08323094 6
 
0.5%
186021.036162639 6
 
0.5%
185509.755178223 6
 
0.5%
185509.165465662 6
 
0.5%
186056.889654573 6
 
0.5%
186366.013413728 5
 
0.5%
187582.851731743 5
 
0.5%
185691.950259663 5
 
0.5%
Other values (320) 442
40.3%
(Missing) 596
54.3%
ValueCountFrequency (%)
182000.310247 1
0.1%
182524.823835629 2
0.2%
182859.059692916 1
0.1%
182908.975451896 2
0.2%
182974.850127567 1
0.1%
183044.267459329 2
0.2%
183057.623864007 1
0.1%
183064.578010899 1
0.1%
183077.321012759 2
0.2%
183130.915788053 1
0.1%
ValueCountFrequency (%)
189098.806779959 1
 
0.1%
188907.145870979 1
 
0.1%
188843.428976776 1
 
0.1%
188748.874153488 1
 
0.1%
188674.333972649 2
0.2%
188647.207494149 1
 
0.1%
188615.453159 2
0.2%
188612.842594632 3
0.3%
188474.213387955 2
0.2%
188457.860638081 1
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct329
Distinct (%)65.7%
Missing596
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean449962.59
Minimum447326.55
Maximum453050.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T22:08:57.531533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447326.55
5-th percentile447776.71
Q1448934
median450068.85
Q3450960.61
95-th percentile452208.87
Maximum453050.73
Range5724.1852
Interquartile range (IQR)2026.6159

Descriptive statistics

Standard deviation1345.0064
Coefficient of variation (CV)0.0029891517
Kurtosis-0.85359945
Mean449962.59
Median Absolute Deviation (MAD)985.58596
Skewness-0.085574641
Sum2.2543126 × 108
Variance1809042.3
MonotonicityNot monotonic
2024-04-06T22:08:57.821029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449637.299373246 7
 
0.6%
450621.120623654 7
 
0.6%
450874.245213914 6
 
0.5%
449450.069694741 6
 
0.5%
449581.928502772 6
 
0.5%
448985.824293321 6
 
0.5%
448873.289415672 6
 
0.5%
447719.836723478 5
 
0.5%
451006.669081811 5
 
0.5%
449101.694212063 5
 
0.5%
Other values (319) 442
40.3%
(Missing) 596
54.3%
ValueCountFrequency (%)
447326.548615694 1
 
0.1%
447457.437180022 1
 
0.1%
447530.329627411 2
0.2%
447580.544751681 4
0.4%
447592.317631258 1
 
0.1%
447593.414332556 1
 
0.1%
447630.844251475 1
 
0.1%
447668.923637062 1
 
0.1%
447685.585859501 1
 
0.1%
447711.37981334 1
 
0.1%
ValueCountFrequency (%)
453050.733807442 1
 
0.1%
452922.98039021 1
 
0.1%
452817.469477897 2
0.2%
452801.707821111 1
 
0.1%
452719.691826848 1
 
0.1%
452402.238297341 3
0.3%
452392.862590895 1
 
0.1%
452387.315435644 1
 
0.1%
452340.255955496 1
 
0.1%
452339.893234091 1
 
0.1%

약국영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct410
Distinct (%)41.0%
Missing98
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean30.304925
Minimum0
Maximum222.32
Zeros366
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T22:08:58.074777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25.8
Q348
95-th percentile95.6
Maximum222.32
Range222.32
Interquartile range (IQR)48

Descriptive statistics

Standard deviation32.501403
Coefficient of variation (CV)1.0724792
Kurtosis3.3113722
Mean30.304925
Median Absolute Deviation (MAD)25.8
Skewness1.4313269
Sum30274.62
Variance1056.3412
MonotonicityNot monotonic
2024-04-06T22:08:58.317579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 366
33.4%
48.0 11
 
1.0%
30.0 6
 
0.5%
80.0 6
 
0.5%
100.0 6
 
0.5%
64.32 6
 
0.5%
58.0 6
 
0.5%
95.6 5
 
0.5%
42.0 5
 
0.5%
25.0 5
 
0.5%
Other values (400) 577
52.6%
(Missing) 98
 
8.9%
ValueCountFrequency (%)
0.0 366
33.4%
7.41 1
 
0.1%
8.0 1
 
0.1%
10.81 1
 
0.1%
12.8 1
 
0.1%
13.5 2
 
0.2%
14.0 1
 
0.1%
14.4 1
 
0.1%
14.8 1
 
0.1%
15.12 2
 
0.2%
ValueCountFrequency (%)
222.32 1
0.1%
202.5 1
0.1%
192.0 1
0.1%
182.0 1
0.1%
176.67 1
0.1%
172.7 1
0.1%
145.0 1
0.1%
132.17 1
0.1%
123.32 1
0.1%
122.8 1
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct920
Distinct (%)92.1%
Missing98
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean20015898
Minimum19631128
Maximum20220325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.8 KiB
2024-04-06T22:08:58.554526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19631128
5-th percentile19781020
Q119950466
median20021111
Q320100508
95-th percentile20190636
Maximum20220325
Range589197
Interquartile range (IQR)150042.5

Descriptive statistics

Standard deviation117457.24
Coefficient of variation (CV)0.0058681972
Kurtosis-0.14996314
Mean20015898
Median Absolute Deviation (MAD)79211
Skewness-0.4835186
Sum1.9995882 × 1010
Variance1.3796202 × 1010
MonotonicityNot monotonic
2024-04-06T22:08:58.803471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19870414 3
 
0.3%
20070423 3
 
0.3%
20031112 3
 
0.3%
20191001 3
 
0.3%
20001120 3
 
0.3%
20000819 2
 
0.2%
19990806 2
 
0.2%
20140602 2
 
0.2%
20141013 2
 
0.2%
20061201 2
 
0.2%
Other values (910) 974
88.8%
(Missing) 98
 
8.9%
ValueCountFrequency (%)
19631128 1
0.1%
19670215 1
0.1%
19690526 1
0.1%
19690819 1
0.1%
19690827 1
0.1%
19691104 1
0.1%
19700124 1
0.1%
19700511 1
0.1%
19700611 1
0.1%
19701013 1
0.1%
ValueCountFrequency (%)
20220325 1
0.1%
20220323 1
0.1%
20220223 1
0.1%
20220127 1
0.1%
20220121 1
0.1%
20220113 1
0.1%
20220106 1
0.1%
20211129 1
0.1%
20211119 1
0.1%
20211026 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
03150000PHMD11963315003708400000119631128<NA>3폐업3폐업<NA><NA><NA><NA>02-3664-3068<NA>157861서울특별시 강서구 염창동 250번지 17호<NA><NA>신설약국2008-12-02 10:58:31I2018-08-31 23:59:59.0<NA><NA><NA>0.019631128
13150000PHMD11967315003708400000119670215<NA>3폐업3폐업<NA><NA><NA><NA>02-2602-3791<NA>157908서울특별시 강서구 화곡8동 897번지 14호<NA><NA>손약국2008-12-02 10:58:31I2018-08-31 23:59:59.0<NA><NA><NA>0.019670215
23150000PHMD11969315003708400000119690526<NA>3폐업3폐업<NA><NA><NA><NA>02-2602-3456<NA>157871서울특별시 강서구 화곡본동 98번지 60호<NA><NA>화성사약국2008-12-02 10:58:31I2018-08-31 23:59:59.0<NA><NA><NA>0.019690526
33150000PHMD11969315003708400000219690819<NA>3폐업3폐업<NA><NA><NA><NA>02-2602-3467<NA>157884서울특별시 강서구 화곡7동 362번지 83호<NA><NA>화곡대성당약국2008-12-02 10:58:31I2018-08-31 23:59:59.0<NA><NA><NA>0.019690819
43150000PHMD11969315003708400000319690827<NA>3폐업3폐업<NA><NA><NA><NA>02-2605-2159<NA>157880서울특별시 강서구 화곡8동 341번지 63호<NA><NA>화곡중앙약국2008-12-02 10:58:31I2018-08-31 23:59:59.0<NA><NA><NA>0.019690827
53150000PHMD11969315003708400000419691104<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2662-0555<NA>157811서울특별시 강서구 공항동 18번지 80호서울특별시 강서구 방화대로21길 76 (공항동)7616자성당약국2019-11-11 13:30:55U2019-11-13 02:40:00.0<NA>183367.009139451319.65023766.019691104
63150000PHMD11970315003708400000119700124<NA>3폐업3폐업20170630<NA><NA><NA>02-2602-3805<NA>157925서울특별시 강서구 화곡동 1072번지 2호 2층서울특별시 강서구 화곡로 130, 2층 (화곡동)7718부민약국2017-06-30 15:25:31I2018-08-31 23:59:59.0<NA>185454.44808448673.88478724.319700124
73150000PHMD11970315003708400000219700511<NA>3폐업3폐업20220126<NA><NA><NA>02-2602-0774<NA>157883서울특별시 강서구 화곡동 358번지 1호서울특별시 강서구 강서로17길 141 (화곡동)7766월성약국2022-01-26 15:58:17U2022-01-28 02:40:00.0<NA>185611.290868447731.7414910.019700511
83150000PHMD11970315003708400000319700611<NA>3폐업3폐업<NA><NA><NA><NA>02-2602-3373<NA>157866서울특별시 강서구 화곡본동 24번지 154호<NA><NA>백화점약국2008-12-02 10:58:31I2018-08-31 23:59:59.0<NA><NA><NA>0.019700611
93150000PHMD11970315003708400000419701013<NA>3폐업3폐업<NA><NA><NA><NA>02-2602-2817<NA>157884서울특별시 강서구 화곡7동 362번지 98호<NA><NA>등대약국2008-12-02 10:58:31I2018-08-31 23:59:59.0<NA><NA><NA>0.019701013
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
10873150000PHMD1202331500370840000062023-05-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3662-3335<NA><NA><NA>서울특별시 강서구 강서로 460, 평안빌딩 1층 101호 (등촌동)7582라파엘약국2023-05-01 17:37:24I2022-12-05 00:03:00.0<NA><NA><NA><NA><NA>
10883150000PHMD1202331500370840000072023-05-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2661-7111<NA><NA>서울특별시 강서구 내발산동 654서울특별시 강서구 강서로 357, 1층 일부호 (내발산동)7632이대1번약국2023-05-26 16:38:39I2022-12-04 22:08:00.0<NA>185569.392872450611.074306<NA><NA>
10893150000PHMD1202331500370840000082023-09-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3663-5658<NA><NA>서울특별시 강서구 가양동 14-51 토피아빌딩 103호서울특별시 강서구 화곡로 429, 토피아빌딩 103호 (가양동)7526늘봄약국2023-09-19 17:50:27I2022-12-08 22:01:00.0<NA>187125.882786451038.464053<NA><NA>
10903150000PHMD1202331500370840000092023-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 760-3 마곡나루역(9호선) 임대상가 3번호서울특별시 강서구 마곡중앙5로 지하2, 마곡나루역(9호선) 임대상가 3번호 (마곡동)7788마곡드림약국2023-11-01 17:54:02I2022-11-01 00:04:00.0<NA>184586.487588451631.567553<NA><NA>
10913150000PHMD1202331500370840000102023-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3661-3437<NA><NA>서울특별시 강서구 마곡동 791-5 마곡파인스퀘어Ⅲ, 1층 117호서울특별시 강서구 마곡중앙8로5길 11, 마곡파인스퀘어Ⅲ 1층 117호 (마곡동)7794강서지금약국2023-11-03 10:28:16I2022-11-01 00:05:00.0<NA>185538.386474451080.469903<NA><NA>
10923150000PHMD1202431500370840000012024-01-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2644-2154<NA><NA>서울특별시 강서구 등촌동 566-1 지덕빌딩서울특별시 강서구 등촌로 75, 지덕빌딩 102호 (등촌동)7734강서약국2024-01-02 11:08:08I2023-12-01 00:04:00.0<NA>187841.426092448281.701839<NA><NA>
10933150000PHMD1202431500370840000022024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA>0226985763<NA><NA>서울특별시 강서구 화곡동 343-52 도양라비앙타워서울특별시 강서구 강서로 43, 도양라비앙타워 L층 B101호 (화곡동)7774강서자연애약국2024-02-29 11:53:33I2023-12-03 00:02:00.0<NA>186366.013414447719.836723<NA><NA>
10943150000PHMD1202431500370840000032024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6952-8866<NA><NA>서울특별시 강서구 등촌동 75-3서울특별시 강서구 양천로 490, 1층 101호 (등촌동)7575가양메디약국2024-03-21 11:01:43U2023-12-02 22:03:00.0<NA>187064.11372450982.15959<NA><NA>
10953150000PHMD1202431500370840000042024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2602-8987<NA><NA>서울특별시 강서구 화곡동 340-54서울특별시 강서구 강서로16길 1, 1층 (화곡동)7756까치햇살약국2024-03-14 10:28:27I2023-12-02 23:06:00.0<NA>186361.705759447834.688715<NA><NA>
10963150000PHMD1202431500370840000052024-03-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 776-2 마곡센트럴대방디엠시티오피스텔서울특별시 강서구 양천로 344, 마곡센트럴대방디엠시티오피스텔 111호 (마곡동)7791숨약국2024-03-20 10:04:16I2023-12-02 22:03:00.0<NA>185827.239418451790.699503<NA><NA>