Overview

Dataset statistics

Number of variables27
Number of observations365
Missing cells2916
Missing cells (%)29.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory82.1 KiB
Average record size in memory230.4 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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-16313/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 365 (100.0%) missing valuesMissing
폐업일자 has 157 (43.0%) missing valuesMissing
휴업시작일자 has 365 (100.0%) missing valuesMissing
휴업종료일자 has 365 (100.0%) missing valuesMissing
재개업일자 has 365 (100.0%) missing valuesMissing
전화번호 has 26 (7.1%) missing valuesMissing
소재지면적 has 365 (100.0%) missing valuesMissing
소재지우편번호 has 137 (37.5%) missing valuesMissing
지번주소 has 5 (1.4%) missing valuesMissing
도로명주소 has 63 (17.3%) missing valuesMissing
도로명우편번호 has 93 (25.5%) missing valuesMissing
업태구분명 has 365 (100.0%) missing valuesMissing
좌표정보(X) has 55 (15.1%) missing valuesMissing
좌표정보(Y) has 55 (15.1%) missing valuesMissing
약국영업면적 has 68 (18.6%) missing valuesMissing
지정일자 has 67 (18.4%) 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
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 105 (28.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:03:39.723397
Analysis finished2024-05-11 06:03:40.312116
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3030000
365 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 365
100.0%

Length

2024-05-11T15:03:40.392676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:40.521863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 365
100.0%

관리번호
Text

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T15:03:40.781533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters9125
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

Unique365 ?
Unique (%)100.0%

Sample

1st rowPHMD119633030033084000001
2nd rowPHMD119653030033084000001
3rd rowPHMD119663030033084000001
4th rowPHMD119673030033084000001
5th rowPHMD119683030033084000001
ValueCountFrequency (%)
phmd119633030033084000001 1
 
0.3%
phmd120123030033084000012 1
 
0.3%
phmd120133030033084000015 1
 
0.3%
phmd120133030033084000014 1
 
0.3%
phmd120133030033084000013 1
 
0.3%
phmd120133030033084000012 1
 
0.3%
phmd120133030033084000011 1
 
0.3%
phmd120133030033084000010 1
 
0.3%
phmd120133030033084000009 1
 
0.3%
phmd120133030033084000008 1
 
0.3%
Other values (355) 355
97.3%
2024-05-11T15:03:41.197380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3652
40.0%
3 1545
16.9%
1 787
 
8.6%
8 457
 
5.0%
4 443
 
4.9%
2 412
 
4.5%
P 365
 
4.0%
H 365
 
4.0%
M 365
 
4.0%
D 365
 
4.0%
Other values (4) 369
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7665
84.0%
Uppercase Letter 1460
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3652
47.6%
3 1545
20.2%
1 787
 
10.3%
8 457
 
6.0%
4 443
 
5.8%
2 412
 
5.4%
9 160
 
2.1%
7 89
 
1.2%
5 63
 
0.8%
6 57
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 365
25.0%
H 365
25.0%
M 365
25.0%
D 365
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7665
84.0%
Latin 1460
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3652
47.6%
3 1545
20.2%
1 787
 
10.3%
8 457
 
6.0%
4 443
 
5.8%
2 412
 
5.4%
9 160
 
2.1%
7 89
 
1.2%
5 63
 
0.8%
6 57
 
0.7%
Latin
ValueCountFrequency (%)
P 365
25.0%
H 365
25.0%
M 365
25.0%
D 365
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9125
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3652
40.0%
3 1545
16.9%
1 787
 
8.6%
8 457
 
5.0%
4 443
 
4.9%
2 412
 
4.5%
P 365
 
4.0%
H 365
 
4.0%
M 365
 
4.0%
D 365
 
4.0%
Other values (4) 369
 
4.0%

인허가일자
Date

Distinct351
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1963-12-21 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T15:03:41.674548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:03:41.834400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3
208 
1
157 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 208
57.0%
1 157
43.0%

Length

2024-05-11T15:03:41.983921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:42.097399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 208
57.0%
1 157
43.0%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
208 
영업/정상
157 

Length

Max length5
Median length2
Mean length3.290411
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 208
57.0%
영업/정상 157
43.0%

Length

2024-05-11T15:03:42.223305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:42.351541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 208
57.0%
영업/정상 157
43.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
3
208 
13
157 

Length

Max length2
Median length1
Mean length1.430137
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row13
5th row3

Common Values

ValueCountFrequency (%)
3 208
57.0%
13 157
43.0%

Length

2024-05-11T15:03:42.467856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:42.589925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 208
57.0%
13 157
43.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐업
208 
영업중
157 

Length

Max length3
Median length2
Mean length2.430137
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 208
57.0%
영업중 157
43.0%

Length

2024-05-11T15:03:42.699938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:42.811227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 208
57.0%
영업중 157
43.0%

폐업일자
Date

MISSING 

Distinct195
Distinct (%)93.8%
Missing157
Missing (%)43.0%
Memory size3.0 KiB
Minimum2008-10-29 00:00:00
Maximum2023-11-02 00:00:00
2024-05-11T15:03:42.966268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:03:43.106778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

전화번호
Text

MISSING 

Distinct288
Distinct (%)85.0%
Missing26
Missing (%)7.1%
Memory size3.0 KiB
2024-05-11T15:03:43.317168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.227139
Min length2

Characters and Unicode

Total characters3806
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

Unique244 ?
Unique (%)72.0%

Sample

1st row02-2292-7224
2nd row02-2293-2418
3rd row02-2293-3883
4th row02-2292-5485
5th row02-464-4827
ValueCountFrequency (%)
02-2298-5300 5
 
1.5%
02-2298-5414 3
 
0.9%
02-2282-0601 3
 
0.9%
02-2298-7973 3
 
0.9%
02-2294-3833 3
 
0.9%
02-2293-4858 2
 
0.6%
02-499-0166 2
 
0.6%
02-2216-5360 2
 
0.6%
2291-5450 2
 
0.6%
02-2292-8202 2
 
0.6%
Other values (278) 312
92.0%
2024-05-11T15:03:43.644536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 952
25.0%
- 608
16.0%
0 490
12.9%
9 319
 
8.4%
4 250
 
6.6%
6 210
 
5.5%
8 207
 
5.4%
3 206
 
5.4%
1 203
 
5.3%
5 195
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3198
84.0%
Dash Punctuation 608
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 952
29.8%
0 490
15.3%
9 319
 
10.0%
4 250
 
7.8%
6 210
 
6.6%
8 207
 
6.5%
3 206
 
6.4%
1 203
 
6.3%
5 195
 
6.1%
7 166
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 608
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3806
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 952
25.0%
- 608
16.0%
0 490
12.9%
9 319
 
8.4%
4 250
 
6.6%
6 210
 
5.5%
8 207
 
5.4%
3 206
 
5.4%
1 203
 
5.3%
5 195
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 952
25.0%
- 608
16.0%
0 490
12.9%
9 319
 
8.4%
4 250
 
6.6%
6 210
 
5.5%
8 207
 
5.4%
3 206
 
5.4%
1 203
 
5.3%
5 195
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

소재지우편번호
Text

MISSING 

Distinct79
Distinct (%)34.6%
Missing137
Missing (%)37.5%
Memory size3.0 KiB
2024-05-11T15:03:43.935568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0131579
Min length6

Characters and Unicode

Total characters1371
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

Unique25 ?
Unique (%)11.0%

Sample

1st row133040
2nd row133814
3rd row133863
4th row133821
5th row133817
ValueCountFrequency (%)
133070 11
 
4.8%
133120 11
 
4.8%
133809 10
 
4.4%
133867 9
 
3.9%
133828 7
 
3.1%
133834 7
 
3.1%
133040 6
 
2.6%
133848 6
 
2.6%
133121 5
 
2.2%
133871 5
 
2.2%
Other values (69) 151
66.2%
2024-05-11T15:03:44.323926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 493
36.0%
1 307
22.4%
8 175
 
12.8%
0 126
 
9.2%
7 70
 
5.1%
2 50
 
3.6%
6 39
 
2.8%
5 39
 
2.8%
4 36
 
2.6%
9 33
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1368
99.8%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 493
36.0%
1 307
22.4%
8 175
 
12.8%
0 126
 
9.2%
7 70
 
5.1%
2 50
 
3.7%
6 39
 
2.9%
5 39
 
2.9%
4 36
 
2.6%
9 33
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 493
36.0%
1 307
22.4%
8 175
 
12.8%
0 126
 
9.2%
7 70
 
5.1%
2 50
 
3.6%
6 39
 
2.8%
5 39
 
2.8%
4 36
 
2.6%
9 33
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 493
36.0%
1 307
22.4%
8 175
 
12.8%
0 126
 
9.2%
7 70
 
5.1%
2 50
 
3.6%
6 39
 
2.8%
5 39
 
2.8%
4 36
 
2.6%
9 33
 
2.4%

지번주소
Text

MISSING 

Distinct327
Distinct (%)90.8%
Missing5
Missing (%)1.4%
Memory size3.0 KiB
2024-05-11T15:03:44.602884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length24.152778
Min length7

Characters and Unicode

Total characters8695
Distinct characters176
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)83.1%

Sample

1st row서울특별시 성동구 홍익동 549
2nd row서울특별시 성동구 마장동 519번지 7호
3rd row서울특별시 성동구 행당1동 117-4
4th row서울특별시 성동구 행당동 292-50 누보빌딩
5th row서울특별시 성동구 성수동2가 565번지 8호 1층
ValueCountFrequency (%)
서울특별시 305
 
17.2%
성동구 305
 
17.2%
행당동 53
 
3.0%
성수동2가 49
 
2.8%
1층 36
 
2.0%
하왕십리동 31
 
1.7%
1호 24
 
1.4%
옥수동 24
 
1.4%
성수동1가 22
 
1.2%
마장동 21
 
1.2%
Other values (459) 903
50.9%
2024-05-11T15:03:45.029907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1414
 
16.3%
동 695
 
8.0%
1 446
 
5.1%
성 402
 
4.6%
울 310
 
3.6%
서 307
 
3.5%
구 306
 
3.5%
특 305
 
3.5%
별 305
 
3.5%
시 305
 
3.5%
Other values (166) 3900
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5185
59.6%
Decimal Number 1941
 
22.3%
Space Separator 1414
 
16.3%
Dash Punctuation 96
 
1.1%
Uppercase Letter 28
 
0.3%
Other Punctuation 13
 
0.1%
Lowercase Letter 8
 
0.1%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 695
13.4%
성 402
 
7.8%
울 310
 
6.0%
서 307
 
5.9%
구 306
 
5.9%
특 305
 
5.9%
별 305
 
5.9%
시 305
 
5.9%
호 300
 
5.8%
지 250
 
4.8%
Other values (134) 1700
32.8%
Uppercase Letter
ValueCountFrequency (%)
L 6
21.4%
A 5
17.9%
B 5
17.9%
T 2
 
7.1%
K 2
 
7.1%
S 2
 
7.1%
D 2
 
7.1%
G 1
 
3.6%
F 1
 
3.6%
W 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 446
23.0%
2 303
15.6%
3 260
13.4%
0 188
9.7%
6 155
 
8.0%
5 145
 
7.5%
4 137
 
7.1%
7 123
 
6.3%
9 97
 
5.0%
8 87
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
w 2
25.0%
e 2
25.0%
r 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 10
76.9%
. 2
 
15.4%
@ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
1414
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5185
59.6%
Common 3474
40.0%
Latin 36
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 695
13.4%
성 402
 
7.8%
울 310
 
6.0%
서 307
 
5.9%
구 306
 
5.9%
특 305
 
5.9%
별 305
 
5.9%
시 305
 
5.9%
호 300
 
5.8%
지 250
 
4.8%
Other values (134) 1700
32.8%
Common
ValueCountFrequency (%)
1414
40.7%
1 446
 
12.8%
2 303
 
8.7%
3 260
 
7.5%
0 188
 
5.4%
6 155
 
4.5%
5 145
 
4.2%
4 137
 
3.9%
7 123
 
3.5%
9 97
 
2.8%
Other values (7) 206
 
5.9%
Latin
ValueCountFrequency (%)
L 6
16.7%
A 5
13.9%
B 5
13.9%
T 2
 
5.6%
o 2
 
5.6%
w 2
 
5.6%
e 2
 
5.6%
r 2
 
5.6%
K 2
 
5.6%
S 2
 
5.6%
Other values (5) 6
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5185
59.6%
ASCII 3510
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1414
40.3%
1 446
 
12.7%
2 303
 
8.6%
3 260
 
7.4%
0 188
 
5.4%
6 155
 
4.4%
5 145
 
4.1%
4 137
 
3.9%
7 123
 
3.5%
9 97
 
2.8%
Other values (22) 242
 
6.9%
Hangul
ValueCountFrequency (%)
동 695
13.4%
성 402
 
7.8%
울 310
 
6.0%
서 307
 
5.9%
구 306
 
5.9%
특 305
 
5.9%
별 305
 
5.9%
시 305
 
5.9%
호 300
 
5.8%
지 250
 
4.8%
Other values (134) 1700
32.8%

도로명주소
Text

MISSING 

Distinct272
Distinct (%)90.1%
Missing63
Missing (%)17.3%
Memory size3.0 KiB
2024-05-11T15:03:45.382102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45
Mean length30.57947
Min length21

Characters and Unicode

Total characters9235
Distinct characters186
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique249 ?
Unique (%)82.5%

Sample

1st row서울특별시 성동구 고산자로 310 (마장동)
2nd row서울특별시 성동구 행당로17길 32, 누보빌딩 105호 (행당동)
3rd row서울특별시 성동구 성덕정17길 1, 1층 (성수동2가, 안치과의원)
4th row서울특별시 성동구 독서당로 378(응봉동)
5th row서울특별시 성동구 사근동길 53 (사근동)
ValueCountFrequency (%)
서울특별시 302
 
16.8%
성동구 302
 
16.8%
1층 61
 
3.4%
성수동2가 49
 
2.7%
왕십리로 48
 
2.7%
행당동 48
 
2.7%
독서당로 32
 
1.8%
하왕십리동 30
 
1.7%
성덕정길 22
 
1.2%
성수동1가 21
 
1.2%
Other values (391) 884
49.1%
2024-05-11T15:03:45.856788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1497
 
16.2%
동 645
 
7.0%
성 418
 
4.5%
1 367
 
4.0%
서 345
 
3.7%
울 311
 
3.4%
) 306
 
3.3%
( 306
 
3.3%
시 303
 
3.3%
구 303
 
3.3%
Other values (176) 4434
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5427
58.8%
Space Separator 1497
 
16.2%
Decimal Number 1383
 
15.0%
Close Punctuation 306
 
3.3%
Open Punctuation 306
 
3.3%
Other Punctuation 224
 
2.4%
Dash Punctuation 63
 
0.7%
Uppercase Letter 25
 
0.3%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 645
 
11.9%
성 418
 
7.7%
서 345
 
6.4%
울 311
 
5.7%
시 303
 
5.6%
구 303
 
5.6%
별 302
 
5.6%
특 302
 
5.6%
로 229
 
4.2%
가 163
 
3.0%
Other values (146) 2106
38.8%
Uppercase Letter
ValueCountFrequency (%)
L 8
32.0%
B 4
16.0%
D 3
 
12.0%
K 2
 
8.0%
A 2
 
8.0%
S 1
 
4.0%
V 1
 
4.0%
O 1
 
4.0%
G 1
 
4.0%
T 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 367
26.5%
2 266
19.2%
3 194
14.0%
0 146
 
10.6%
4 107
 
7.7%
7 69
 
5.0%
9 66
 
4.8%
5 58
 
4.2%
8 56
 
4.0%
6 54
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Space Separator
ValueCountFrequency (%)
1497
100.0%
Close Punctuation
ValueCountFrequency (%)
) 306
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Other Punctuation
ValueCountFrequency (%)
, 224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5427
58.8%
Common 3779
40.9%
Latin 29
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 645
 
11.9%
성 418
 
7.7%
서 345
 
6.4%
울 311
 
5.7%
시 303
 
5.6%
구 303
 
5.6%
별 302
 
5.6%
특 302
 
5.6%
로 229
 
4.2%
가 163
 
3.0%
Other values (146) 2106
38.8%
Common
ValueCountFrequency (%)
1497
39.6%
1 367
 
9.7%
) 306
 
8.1%
( 306
 
8.1%
2 266
 
7.0%
, 224
 
5.9%
3 194
 
5.1%
0 146
 
3.9%
4 107
 
2.8%
7 69
 
1.8%
Other values (5) 297
 
7.9%
Latin
ValueCountFrequency (%)
L 8
27.6%
B 4
13.8%
D 3
 
10.3%
K 2
 
6.9%
A 2
 
6.9%
S 1
 
3.4%
V 1
 
3.4%
O 1
 
3.4%
G 1
 
3.4%
T 1
 
3.4%
Other values (5) 5
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5427
58.8%
ASCII 3808
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1497
39.3%
1 367
 
9.6%
) 306
 
8.0%
( 306
 
8.0%
2 266
 
7.0%
, 224
 
5.9%
3 194
 
5.1%
0 146
 
3.8%
4 107
 
2.8%
7 69
 
1.8%
Other values (20) 326
 
8.6%
Hangul
ValueCountFrequency (%)
동 645
 
11.9%
성 418
 
7.7%
서 345
 
6.4%
울 311
 
5.7%
시 303
 
5.6%
구 303
 
5.6%
별 302
 
5.6%
특 302
 
5.6%
로 229
 
4.2%
가 163
 
3.0%
Other values (146) 2106
38.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)34.6%
Missing93
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean18498.695
Minimum4700
Maximum133883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T15:03:46.022014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4700
5-th percentile4701
Q14721
median4749.5
Q34783
95-th percentile133818.5
Maximum133883
Range129183
Interquartile range (IQR)62

Descriptive statistics

Standard deviation39879.913
Coefficient of variation (CV)2.1558231
Kurtosis4.6049864
Mean18498.695
Median Absolute Deviation (MAD)31.5
Skewness2.5634212
Sum5031645
Variance1.5904075 × 109
MonotonicityNot monotonic
2024-05-11T15:03:46.191685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4701 15
 
4.1%
4775 10
 
2.7%
4737 9
 
2.5%
4745 7
 
1.9%
4730 7
 
1.9%
4762 7
 
1.9%
4801 6
 
1.6%
4778 6
 
1.6%
4710 6
 
1.6%
4709 6
 
1.6%
Other values (84) 193
52.9%
(Missing) 93
25.5%
ValueCountFrequency (%)
4700 2
 
0.5%
4701 15
4.1%
4702 5
 
1.4%
4703 1
 
0.3%
4704 1
 
0.3%
4706 4
 
1.1%
4707 3
 
0.8%
4708 2
 
0.5%
4709 6
 
1.6%
4710 6
 
1.6%
ValueCountFrequency (%)
133883 1
0.3%
133882 2
0.5%
133869 1
0.3%
133867 2
0.5%
133866 1
0.3%
133861 1
0.3%
133845 1
0.3%
133839 1
0.3%
133834 2
0.5%
133826 1
0.3%

사업장명
Text

Distinct262
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-05-11T15:03:46.477583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.9123288
Min length3

Characters and Unicode

Total characters1793
Distinct characters205
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)52.9%

Sample

1st row홍익약국
2nd row수도당약국
3rd row대동약국
4th row상도약국
5th row구삼성약국
ValueCountFrequency (%)
서화당한약국 6
 
1.6%
비젼약국 5
 
1.4%
우리들약국 5
 
1.4%
직매약국 4
 
1.1%
성모약국 4
 
1.1%
연세우리약국 4
 
1.1%
정은약국 4
 
1.1%
미소약국 4
 
1.1%
참좋은약국 4
 
1.1%
유명한약국 3
 
0.8%
Other values (252) 322
88.2%
2024-05-11T15:03:46.937521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 371
20.7%
약 366
20.4%
리 39
 
2.2%
한 36
 
2.0%
수 26
 
1.5%
성 23
 
1.3%
이 21
 
1.2%
자 21
 
1.2%
온 21
 
1.2%
누 21
 
1.2%
Other values (195) 848
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1785
99.6%
Decimal Number 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 371
20.8%
약 366
20.5%
리 39
 
2.2%
한 36
 
2.0%
수 26
 
1.5%
성 23
 
1.3%
이 21
 
1.2%
자 21
 
1.2%
온 21
 
1.2%
누 21
 
1.2%
Other values (191) 840
47.1%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
3 2
25.0%
5 1
 
12.5%
2 1
 
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1785
99.6%
Common 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 371
20.8%
약 366
20.5%
리 39
 
2.2%
한 36
 
2.0%
수 26
 
1.5%
성 23
 
1.3%
이 21
 
1.2%
자 21
 
1.2%
온 21
 
1.2%
누 21
 
1.2%
Other values (191) 840
47.1%
Common
ValueCountFrequency (%)
1 4
50.0%
3 2
25.0%
5 1
 
12.5%
2 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1785
99.6%
ASCII 8
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 371
20.8%
약 366
20.5%
리 39
 
2.2%
한 36
 
2.0%
수 26
 
1.5%
성 23
 
1.3%
이 21
 
1.2%
자 21
 
1.2%
온 21
 
1.2%
누 21
 
1.2%
Other values (191) 840
47.1%
ASCII
ValueCountFrequency (%)
1 4
50.0%
3 2
25.0%
5 1
 
12.5%
2 1
 
12.5%

최종수정일자
Date

UNIQUE 

Distinct365
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2008-12-30 18:08:18
Maximum2024-04-24 17:12:31
2024-05-11T15:03:47.109804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:03:47.267648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
I
262 
U
103 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 262
71.8%
U 103
 
28.2%

Length

2024-05-11T15:03:47.459567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:03:47.608976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 262
71.8%
u 103
 
28.2%

데이터갱신일자
Date

Distinct98
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-05-11T15:03:47.771030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:03:47.968961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing365
Missing (%)100.0%
Memory size3.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct200
Distinct (%)64.5%
Missing55
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean203240.3
Minimum200812.99
Maximum206193.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T15:03:48.205642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200812.99
5-th percentile201405.36
Q1202310.02
median203046.42
Q3204485.17
95-th percentile205170.2
Maximum206193.5
Range5380.5079
Interquartile range (IQR)2175.1474

Descriptive statistics

Standard deviation1251.271
Coefficient of variation (CV)0.0061566086
Kurtosis-0.95823099
Mean203240.3
Median Absolute Deviation (MAD)1034.1864
Skewness0.2423267
Sum63004494
Variance1565679.1
MonotonicityNot monotonic
2024-05-11T15:03:48.412683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202326.503044305 9
 
2.5%
202310.024153 8
 
2.2%
202372.912023599 6
 
1.6%
204570.726286922 5
 
1.4%
204110.871919281 4
 
1.1%
201538.05612719 4
 
1.1%
202393.457305335 3
 
0.8%
202511.142930696 3
 
0.8%
202869.775808581 3
 
0.8%
201278.992616463 3
 
0.8%
Other values (190) 262
71.8%
(Missing) 55
 
15.1%
ValueCountFrequency (%)
200812.992681398 1
 
0.3%
201075.909997 1
 
0.3%
201110.397044663 2
0.5%
201153.981577199 2
0.5%
201170.960314149 1
 
0.3%
201174.525137191 1
 
0.3%
201278.992616463 3
0.8%
201334.565776 1
 
0.3%
201366.036667659 1
 
0.3%
201383.023709556 2
0.5%
ValueCountFrequency (%)
206193.500564601 1
 
0.3%
205926.848411624 1
 
0.3%
205861.778324251 1
 
0.3%
205857.635484632 1
 
0.3%
205788.686163691 1
 
0.3%
205784.868811814 3
0.8%
205755.106428192 1
 
0.3%
205733.953454083 1
 
0.3%
205674.071146185 1
 
0.3%
205646.113813184 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct200
Distinct (%)64.5%
Missing55
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean450159.78
Minimum448257.99
Maximum452063.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T15:03:48.623526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448257.99
5-th percentile448399.31
Q1449340.48
median450078.6
Q3451120.66
95-th percentile451714.75
Maximum452063.44
Range3805.4515
Interquartile range (IQR)1780.1779

Descriptive statistics

Standard deviation1073.4434
Coefficient of variation (CV)0.0023845831
Kurtosis-1.233659
Mean450159.78
Median Absolute Deviation (MAD)895.95859
Skewness-0.073891993
Sum1.3954953 × 108
Variance1152280.8
MonotonicityNot monotonic
2024-05-11T15:03:48.815275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450625.58422744 9
 
2.5%
451594.707188 8
 
2.2%
451536.680876573 6
 
1.6%
448424.212495784 5
 
1.4%
449569.58557396 4
 
1.1%
448894.755196992 4
 
1.1%
451365.326207693 3
 
0.8%
450401.303715561 3
 
0.8%
449963.043497672 3
 
0.8%
449053.881872398 3
 
0.8%
Other values (190) 262
71.8%
(Missing) 55
 
15.1%
ValueCountFrequency (%)
448257.988722667 2
0.5%
448267.827163076 1
0.3%
448277.387756454 2
0.5%
448278.927222 1
0.3%
448317.872400495 2
0.5%
448352.735480655 2
0.5%
448355.122746319 1
0.3%
448359.93429363 2
0.5%
448382.86739377 1
0.3%
448392.578259271 1
0.3%
ValueCountFrequency (%)
452063.440192474 1
 
0.3%
451965.03442982 1
 
0.3%
451908.86237999 2
0.5%
451906.0 3
0.8%
451902.330490125 1
 
0.3%
451897.581865192 2
0.5%
451824.598496233 1
 
0.3%
451809.190992068 2
0.5%
451775.451215681 1
 
0.3%
451742.488626076 1
 
0.3%

약국영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct131
Distinct (%)44.1%
Missing68
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean24.869192
Minimum0
Maximum141.24
Zeros105
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T15:03:49.020690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21.8
Q338.3
95-th percentile73.08
Maximum141.24
Range141.24
Interquartile range (IQR)38.3

Descriptive statistics

Standard deviation26.506623
Coefficient of variation (CV)1.0658418
Kurtosis3.3421243
Mean24.869192
Median Absolute Deviation (MAD)21.8
Skewness1.5278456
Sum7386.15
Variance702.60108
MonotonicityNot monotonic
2024-05-11T15:03:49.505033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 105
28.8%
15.0 5
 
1.4%
21.0 5
 
1.4%
29.2 4
 
1.1%
22.8 4
 
1.1%
26.1 4
 
1.1%
33.5 4
 
1.1%
44.0 3
 
0.8%
23.0 3
 
0.8%
39.5 3
 
0.8%
Other values (121) 157
43.0%
(Missing) 68
18.6%
ValueCountFrequency (%)
0.0 105
28.8%
9.1 2
 
0.5%
11.7 1
 
0.3%
13.5 1
 
0.3%
14.58 1
 
0.3%
14.8 2
 
0.5%
14.87 1
 
0.3%
15.0 5
 
1.4%
15.6 1
 
0.3%
16.06 1
 
0.3%
ValueCountFrequency (%)
141.24 1
0.3%
136.0 1
0.3%
131.07 1
0.3%
125.66 1
0.3%
115.6 1
0.3%
105.92 1
0.3%
105.0 1
0.3%
98.94 2
0.5%
80.0 1
0.3%
79.95 1
0.3%

지정일자
Real number (ℝ)

MISSING 

Distinct287
Distinct (%)96.3%
Missing67
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean20053181
Minimum19631221
Maximum20220307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-05-11T15:03:49.701986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19631221
5-th percentile19750937
Q120010592
median20090820
Q320140705
95-th percentile20190509
Maximum20220307
Range589086
Interquartile range (IQR)130113.25

Descriptive statistics

Standard deviation130555.38
Coefficient of variation (CV)0.0065104573
Kurtosis1.0857939
Mean20053181
Median Absolute Deviation (MAD)60007
Skewness-1.3527055
Sum5.9758478 × 109
Variance1.7044706 × 1010
MonotonicityNot monotonic
2024-05-11T15:03:49.900948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090102 3
 
0.8%
20100426 2
 
0.5%
20000801 2
 
0.5%
20121210 2
 
0.5%
20170109 2
 
0.5%
20170111 2
 
0.5%
20170119 2
 
0.5%
20180201 2
 
0.5%
20190415 2
 
0.5%
20140404 2
 
0.5%
Other values (277) 277
75.9%
(Missing) 67
 
18.4%
ValueCountFrequency (%)
19631221 1
0.3%
19650506 1
0.3%
19660502 1
0.3%
19670221 1
0.3%
19680924 1
0.3%
19720215 1
0.3%
19720315 1
0.3%
19720412 1
0.3%
19720603 1
0.3%
19730228 1
0.3%
ValueCountFrequency (%)
20220307 1
0.3%
20210804 1
0.3%
20201223 1
0.3%
20201207 1
0.3%
20201026 1
0.3%
20200730 1
0.3%
20200729 1
0.3%
20200121 1
0.3%
20190911 1
0.3%
20190814 1
0.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
03030000PHMD11963303003308400000119631221<NA>3폐업3폐업20090819<NA><NA><NA>02-2292-7224<NA>133040서울특별시 성동구 홍익동 549<NA><NA>홍익약국2009-08-19 10:47:05I2018-08-31 23:59:59.0<NA><NA><NA>0.019631221
13030000PHMD11965303003308400000119650506<NA>3폐업3폐업20160304<NA><NA><NA>02-2293-2418<NA>133814서울특별시 성동구 마장동 519번지 7호서울특별시 성동구 고산자로 310 (마장동)4749수도당약국2016-03-04 17:01:21I2018-08-31 23:59:59.0<NA>203216.115512451683.832230.019650506
23030000PHMD11966303003308400000119660502<NA>3폐업3폐업20090430<NA><NA><NA>02-2293-3883<NA>133863서울특별시 성동구 행당1동 117-4<NA><NA>대동약국2009-04-30 15:37:21I2018-08-31 23:59:59.0<NA><NA><NA>0.019660502
33030000PHMD11967303003308400000119670221<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2292-5485<NA><NA>서울특별시 성동구 행당동 292-50 누보빌딩서울특별시 성동구 행당로17길 32, 누보빌딩 105호 (행당동)4714상도약국2020-07-27 16:49:34U2020-07-29 02:40:00.0<NA>202812.091845450980.21085316.4119670221
43030000PHMD11968303003308400000119680924<NA>3폐업3폐업20190801<NA><NA><NA>02-464-4827<NA><NA>서울특별시 성동구 성수동2가 565번지 8호 1층서울특별시 성동구 성덕정17길 1, 1층 (성수동2가, 안치과의원)4776구삼성약국2019-08-01 17:05:31U2019-08-03 02:40:00.0<NA>204809.067541448352.7354810.019680924
53030000PHMD11970303003308400000119701229<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2293-6946<NA><NA>서울특별시 성동구 응봉동 193-82 제일약국서울특별시 성동구 독서당로 378(응봉동)4742제일약국2022-11-14 13:37:34U2021-10-31 23:06:00.0<NA>202627.625662449704.729563<NA><NA>
63030000PHMD11972303003308400000119720215<NA>3폐업3폐업20101110<NA><NA><NA>02-464-8887<NA>133821서울특별시 성동구 성수1가1동 661-2<NA><NA>수명당약국2010-11-10 18:25:12I2018-08-31 23:59:59.0<NA><NA><NA>14.819720215
73030000PHMD11972303003308400000219720315<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2293-0180<NA>133817서울특별시 성동구 사근동 210번지 2호서울특별시 성동구 사근동길 53 (사근동)4761영화당약국2020-09-14 15:55:06U2020-09-16 02:40:00.0<NA>204067.818465450970.0262270.019720315
83030000PHMD11972303003308400000319720412<NA>3폐업3폐업20160603<NA><NA><NA>02-463-8441<NA>133820서울특별시 성동구 성수동1가 225번지 2호서울특별시 성동구 성덕정길 44 (성수동1가)4774동경약국2016-06-03 10:19:19I2018-08-31 23:59:59.0<NA>204218.108448472.5174510.019720412
93030000PHMD11972303003308400000419720603<NA>3폐업3폐업20151001<NA><NA><NA>02-2292-5024<NA>133869서울특별시 성동구 행당동 320번지 7호서울특별시 성동구 고산자로8길 7 (행당동)4745정신약국2015-10-01 17:31:06I2018-08-31 23:59:59.0<NA>203011.585938450587.6034370.019720603
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
3553030000PHMD12022303003308400000520221103<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2212-8762<NA><NA>서울특별시 성동구 마장동 444-2 정민하우스1층서울특별시 성동구 청계천로10다길 13, 1층 (마장동, 정민하우스)4704정민약국2022-11-03 16:06:25I2021-11-01 00:05:00.0<NA>202945.52981451902.33049<NA><NA>
3563030000PHMD1202330300330840000012023-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-467-0301<NA><NA>서울특별시 성동구 성수동1가 656-1028서울특별시 성동구 뚝섬로1길 53-1, 1층 (성수동1가)4778셀메드스카이약국2023-02-28 17:15:23I2022-12-03 00:04:00.0<NA>204125.775678449307.471708<NA><NA>
3573030000PHMD1202330300330840000022023-10-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6012-0694<NA><NA>서울특별시 성동구 상왕십리동 811 텐즈힐서울특별시 성동구 마장로 137, 텐즈힐몰 2층 2154호 (상왕십리동, 텐즈힐)4700송약국2023-10-18 15:29:18I2022-10-30 22:00:00.0<NA>202113.869605451897.581865<NA><NA>
3583030000PHMD1202430300330840000012024-01-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-463-0711<NA><NA>서울특별시 성동구 성수동2가 289-101서울특별시 성동구 아차산로7길 11, 1층 (성수동2가)4793성수오렌지약국2024-01-30 18:02:16I2023-12-02 00:01:00.0<NA>204738.985953449331.501562<NA><NA>
3593030000PHMD1202430300330840000022024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-0019<NA><NA>서울특별시 성동구 성수동1가 656-1112 DS빌딩서울특별시 성동구 아차산로 15-8, DS빌딩 (성수동1가)4789뚝섬1번약국2024-02-27 17:26:25U2023-12-01 22:09:00.0<NA>204011.949172449517.431056<NA><NA>
3603030000PHMD1202430300330840000032024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6958-5567<NA><NA>서울특별시 성동구 성수동1가 13-209서울특별시 성동구 상원12길 34, 1층 105호 (성수동1가)4790세심당한약국2024-02-29 15:16:35I2023-12-03 00:02:00.0<NA>204399.528008449705.922427<NA><NA>
3613030000PHMD1202430300330840000042024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2282-5069<NA><NA>서울특별시 성동구 행당동 317-82서울특별시 성동구 행당로 111, 1층 (행당동)4714자연생약국2024-03-18 09:30:57I2023-12-02 22:00:00.0<NA>202686.996635450649.219006<NA><NA>
3623030000PHMD1202430300330840000052024-04-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2235-0410<NA><NA>서울특별시 성동구 금호동3가 1331 두산아파트서울특별시 성동구 동호로 102, 두산아파트 상가동 3층 302호 (금호동3가)47243층엔약국2024-04-08 14:26:42I2023-12-03 23:00:00.0<NA>201383.02371449744.280482<NA><NA>
3633030000PHMD1202430300330840000062024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2282-1114<NA><NA>서울특별시 성동구 옥수동 262-1서울특별시 성동구 독서당로 202, 지하1층 B102호 (옥수동)4734달빛약국2024-04-15 15:01:45I2023-12-03 23:07:00.0<NA>201110.397045448968.795349<NA><NA>
3643030000PHMD1202430300330840000072024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA>466-8562<NA><NA>서울특별시 성동구 성수동2가 279-46 규장각빌딩 103호서울특별시 성동구 아차산로17길 26, 1층 103호 (성수동2가)4799바로여기약국2024-04-24 17:12:31I2023-12-03 22:06:00.0<NA>205646.113813449143.065856<NA><NA>