Overview

Dataset statistics

Number of variables27
Number of observations1142
Missing cells11410
Missing cells (%)37.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory256.6 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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-16330/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 1142 (100.0%) missing valuesMissing
폐업일자 has 812 (71.1%) missing valuesMissing
휴업시작일자 has 1142 (100.0%) missing valuesMissing
휴업종료일자 has 1142 (100.0%) missing valuesMissing
재개업일자 has 1142 (100.0%) missing valuesMissing
전화번호 has 406 (35.6%) missing valuesMissing
소재지면적 has 1142 (100.0%) missing valuesMissing
소재지우편번호 has 182 (15.9%) missing valuesMissing
도로명주소 has 659 (57.7%) missing valuesMissing
도로명우편번호 has 681 (59.6%) missing valuesMissing
업태구분명 has 1142 (100.0%) missing valuesMissing
좌표정보(X) has 661 (57.9%) missing valuesMissing
좌표정보(Y) has 661 (57.9%) missing valuesMissing
약국영업면적 has 245 (21.5%) missing valuesMissing
지정일자 has 245 (21.5%) 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 491 (43.0%) zerosZeros

Reproduction

Analysis started2024-04-29 18:58:00.846360
Analysis finished2024-04-29 18:58:01.700496
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
3200000
1142 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 1142
100.0%

Length

2024-04-30T03:58:01.765374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:01.852549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 1142
100.0%

관리번호
Text

UNIQUE 

Distinct1142
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-04-30T03:58:01.997262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters28550
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

Unique1142 ?
Unique (%)100.0%

Sample

1st rowPHMD119653200033084000001
2nd rowPHMD119683200033084000001
3rd rowPHMD119683200033084000002
4th rowPHMD119693200033084000001
5th rowPHMD119693200033084000002
ValueCountFrequency (%)
phmd119653200033084000001 1
 
0.1%
phmd120063200033084000017 1
 
0.1%
phmd120063200033084000023 1
 
0.1%
phmd120063200033084000022 1
 
0.1%
phmd120063200033084000021 1
 
0.1%
phmd120063200033084000020 1
 
0.1%
phmd120063200033084000019 1
 
0.1%
phmd120063200033084000027 1
 
0.1%
phmd120063200033084000016 1
 
0.1%
phmd120063200033084000025 1
 
0.1%
Other values (1132) 1132
99.1%
2024-04-30T03:58:02.274996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10782
37.8%
3 3746
 
13.1%
1 2533
 
8.9%
2 2292
 
8.0%
8 1483
 
5.2%
4 1420
 
5.0%
P 1142
 
4.0%
H 1142
 
4.0%
M 1142
 
4.0%
D 1142
 
4.0%
Other values (4) 1726
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23982
84.0%
Uppercase Letter 4568
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10782
45.0%
3 3746
 
15.6%
1 2533
 
10.6%
2 2292
 
9.6%
8 1483
 
6.2%
4 1420
 
5.9%
9 982
 
4.1%
7 306
 
1.3%
6 227
 
0.9%
5 211
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
P 1142
25.0%
H 1142
25.0%
M 1142
25.0%
D 1142
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23982
84.0%
Latin 4568
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10782
45.0%
3 3746
 
15.6%
1 2533
 
10.6%
2 2292
 
9.6%
8 1483
 
6.2%
4 1420
 
5.9%
9 982
 
4.1%
7 306
 
1.3%
6 227
 
0.9%
5 211
 
0.9%
Latin
ValueCountFrequency (%)
P 1142
25.0%
H 1142
25.0%
M 1142
25.0%
D 1142
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10782
37.8%
3 3746
 
13.1%
1 2533
 
8.9%
2 2292
 
8.0%
8 1483
 
5.2%
4 1420
 
5.0%
P 1142
 
4.0%
H 1142
 
4.0%
M 1142
 
4.0%
D 1142
 
4.0%
Other values (4) 1726
 
6.0%

인허가일자
Date

Distinct1064
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum1965-05-21 00:00:00
Maximum2024-04-01 00:00:00
2024-04-30T03:58:02.409980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:58:02.543062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1142
Missing (%)100.0%
Memory size10.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
3
910 
1
232 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 910
79.7%
1 232
 
20.3%

Length

2024-04-30T03:58:02.651294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:02.727038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 910
79.7%
1 232
 
20.3%

영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
폐업
910 
영업/정상
232 

Length

Max length5
Median length2
Mean length2.6094571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 910
79.7%
영업/정상 232
 
20.3%

Length

2024-04-30T03:58:02.818851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:02.902173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 910
79.7%
영업/정상 232
 
20.3%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
3
910 
13
232 

Length

Max length2
Median length1
Mean length1.2031524
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 910
79.7%
13 232
 
20.3%

Length

2024-04-30T03:58:03.004089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:03.086670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 910
79.7%
13 232
 
20.3%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
폐업
910 
영업중
232 

Length

Max length3
Median length2
Mean length2.2031524
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 910
79.7%
영업중 232
 
20.3%

Length

2024-04-30T03:58:03.163003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:03.242327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 910
79.7%
영업중 232
 
20.3%

폐업일자
Date

MISSING 

Distinct303
Distinct (%)91.8%
Missing812
Missing (%)71.1%
Memory size9.1 KiB
Minimum1996-09-13 00:00:00
Maximum2024-04-24 00:00:00
2024-04-30T03:58:03.331518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:58:03.443823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1142
Missing (%)100.0%
Memory size10.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1142
Missing (%)100.0%
Memory size10.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1142
Missing (%)100.0%
Memory size10.2 KiB

전화번호
Text

MISSING 

Distinct559
Distinct (%)76.0%
Missing406
Missing (%)35.6%
Memory size9.1 KiB
2024-04-30T03:58:03.669064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.565217
Min length1

Characters and Unicode

Total characters7776
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique435 ?
Unique (%)59.1%

Sample

1st row02-877-6749
2nd row02-877-8597
3rd row02-877-0445
4th row02-877-0884
5th row02-874-4360
ValueCountFrequency (%)
02-598-5479 6
 
0.8%
856-5977 5
 
0.7%
02-885-4940 5
 
0.7%
02-852-8241 5
 
0.7%
02-885-5511 4
 
0.5%
02-864-0250 4
 
0.5%
02-852-2999 4
 
0.5%
02-866-7228 4
 
0.5%
02-856-0528 4
 
0.5%
02-878-3815 4
 
0.5%
Other values (549) 691
93.9%
2024-04-30T03:58:04.028196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1367
17.6%
- 1305
16.8%
2 1041
13.4%
0 1027
13.2%
7 693
8.9%
5 570
7.3%
3 415
 
5.3%
6 388
 
5.0%
9 377
 
4.8%
1 300
 
3.9%
Other values (2) 293
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6470
83.2%
Dash Punctuation 1305
 
16.8%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1367
21.1%
2 1041
16.1%
0 1027
15.9%
7 693
10.7%
5 570
8.8%
3 415
 
6.4%
6 388
 
6.0%
9 377
 
5.8%
1 300
 
4.6%
4 292
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 1305
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7776
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1367
17.6%
- 1305
16.8%
2 1041
13.4%
0 1027
13.2%
7 693
8.9%
5 570
7.3%
3 415
 
5.3%
6 388
 
5.0%
9 377
 
4.8%
1 300
 
3.9%
Other values (2) 293
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7776
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1367
17.6%
- 1305
16.8%
2 1041
13.4%
0 1027
13.2%
7 693
8.9%
5 570
7.3%
3 415
 
5.3%
6 388
 
5.0%
9 377
 
4.8%
1 300
 
3.9%
Other values (2) 293
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1142
Missing (%)100.0%
Memory size10.2 KiB

소재지우편번호
Text

MISSING 

Distinct155
Distinct (%)16.1%
Missing182
Missing (%)15.9%
Memory size9.1 KiB
2024-04-30T03:58:04.235110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1135417
Min length6

Characters and Unicode

Total characters5869
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

Unique85 ?
Unique (%)8.9%

Sample

1st row151058
2nd row151056
3rd row151053
4th row151053
5th row151069
ValueCountFrequency (%)
151056 59
 
6.1%
151015 57
 
5.9%
151058 51
 
5.3%
151013 45
 
4.7%
151014 42
 
4.4%
151061 41
 
4.3%
151018 39
 
4.1%
151019 36
 
3.8%
151051 36
 
3.8%
151022 36
 
3.8%
Other values (145) 518
54.0%
2024-04-30T03:58:04.518897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2391
40.7%
5 1316
22.4%
0 855
 
14.6%
8 309
 
5.3%
6 250
 
4.3%
2 191
 
3.3%
9 168
 
2.9%
- 109
 
1.9%
3 98
 
1.7%
7 98
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5760
98.1%
Dash Punctuation 109
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2391
41.5%
5 1316
22.8%
0 855
 
14.8%
8 309
 
5.4%
6 250
 
4.3%
2 191
 
3.3%
9 168
 
2.9%
3 98
 
1.7%
7 98
 
1.7%
4 84
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5869
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2391
40.7%
5 1316
22.4%
0 855
 
14.6%
8 309
 
5.3%
6 250
 
4.3%
2 191
 
3.3%
9 168
 
2.9%
- 109
 
1.9%
3 98
 
1.7%
7 98
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2391
40.7%
5 1316
22.4%
0 855
 
14.6%
8 309
 
5.3%
6 250
 
4.3%
2 191
 
3.3%
9 168
 
2.9%
- 109
 
1.9%
3 98
 
1.7%
7 98
 
1.7%

지번주소
Text

Distinct867
Distinct (%)76.3%
Missing6
Missing (%)0.5%
Memory size9.1 KiB
2024-04-30T03:58:04.795784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length23.002641
Min length13

Characters and Unicode

Total characters26131
Distinct characters176
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

Unique679 ?
Unique (%)59.8%

Sample

1st row서울특별시 관악구 청룡동 922-24
2nd row서울특별시 관악구 행운동 21-15
3rd row서울특별시 관악구 신림동 808번지 495호 인제약국
4th row서울특별시 관악구 청림동 16-6
5th row서울특별시 관악구 청림동 10-36
ValueCountFrequency (%)
서울특별시 1136
21.3%
관악구 1136
21.3%
신림동 231
 
4.3%
봉천동 176
 
3.3%
1층 103
 
1.9%
1호 62
 
1.2%
행운동 61
 
1.1%
청룡동 59
 
1.1%
난곡동 47
 
0.9%
신사동 46
 
0.9%
Other values (939) 2286
42.8%
2024-04-30T03:58:05.200295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4317
 
16.5%
1 1491
 
5.7%
서 1190
 
4.6%
동 1165
 
4.5%
관 1163
 
4.5%
악 1163
 
4.5%
시 1141
 
4.4%
구 1137
 
4.4%
울 1137
 
4.4%
별 1136
 
4.3%
Other values (166) 11091
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14940
57.2%
Decimal Number 6039
23.1%
Space Separator 4317
 
16.5%
Dash Punctuation 701
 
2.7%
Open Punctuation 44
 
0.2%
Close Punctuation 44
 
0.2%
Uppercase Letter 26
 
0.1%
Other Punctuation 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1190
 
8.0%
동 1165
 
7.8%
관 1163
 
7.8%
악 1163
 
7.8%
시 1141
 
7.6%
구 1137
 
7.6%
울 1137
 
7.6%
별 1136
 
7.6%
특 1136
 
7.6%
호 481
 
3.2%
Other values (142) 4091
27.4%
Decimal Number
ValueCountFrequency (%)
1 1491
24.7%
2 690
11.4%
6 586
 
9.7%
4 580
 
9.6%
5 573
 
9.5%
3 520
 
8.6%
0 433
 
7.2%
7 431
 
7.1%
8 424
 
7.0%
9 311
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 10
38.5%
B 8
30.8%
D 2
 
7.7%
S 2
 
7.7%
K 2
 
7.7%
P 1
 
3.8%
T 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 16
80.0%
/ 3
 
15.0%
. 1
 
5.0%
Space Separator
ValueCountFrequency (%)
4317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 701
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14940
57.2%
Common 11165
42.7%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1190
 
8.0%
동 1165
 
7.8%
관 1163
 
7.8%
악 1163
 
7.8%
시 1141
 
7.6%
구 1137
 
7.6%
울 1137
 
7.6%
별 1136
 
7.6%
특 1136
 
7.6%
호 481
 
3.2%
Other values (142) 4091
27.4%
Common
ValueCountFrequency (%)
4317
38.7%
1 1491
 
13.4%
- 701
 
6.3%
2 690
 
6.2%
6 586
 
5.2%
4 580
 
5.2%
5 573
 
5.1%
3 520
 
4.7%
0 433
 
3.9%
7 431
 
3.9%
Other values (7) 843
 
7.6%
Latin
ValueCountFrequency (%)
A 10
38.5%
B 8
30.8%
D 2
 
7.7%
S 2
 
7.7%
K 2
 
7.7%
P 1
 
3.8%
T 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14940
57.2%
ASCII 11191
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4317
38.6%
1 1491
 
13.3%
- 701
 
6.3%
2 690
 
6.2%
6 586
 
5.2%
4 580
 
5.2%
5 573
 
5.1%
3 520
 
4.6%
0 433
 
3.9%
7 431
 
3.9%
Other values (14) 869
 
7.8%
Hangul
ValueCountFrequency (%)
서 1190
 
8.0%
동 1165
 
7.8%
관 1163
 
7.8%
악 1163
 
7.8%
시 1141
 
7.6%
구 1137
 
7.6%
울 1137
 
7.6%
별 1136
 
7.6%
특 1136
 
7.6%
호 481
 
3.2%
Other values (142) 4091
27.4%

도로명주소
Text

MISSING 

Distinct407
Distinct (%)84.3%
Missing659
Missing (%)57.7%
Memory size9.1 KiB
2024-04-30T03:58:05.428909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length28.730849
Min length21

Characters and Unicode

Total characters13877
Distinct characters184
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

Unique346 ?
Unique (%)71.6%

Sample

1st row서울특별시 관악구 원신2길 17, 인제약국 (신림동)
2nd row서울특별시 관악구 청림3길 15 (봉천동)
3rd row서울특별시 관악구 신림로 383, 1층 (신림동)
4th row서울특별시 관악구 은천로 28 (봉천동)
5th row서울특별시 관악구 청림길 8 (봉천동)
ValueCountFrequency (%)
서울특별시 483
17.1%
관악구 482
17.0%
신림동 224
 
7.9%
봉천동 221
 
7.8%
1층 166
 
5.9%
남부순환로 94
 
3.3%
난곡로 57
 
2.0%
신림로 51
 
1.8%
관악로 36
 
1.3%
봉천로 23
 
0.8%
Other values (494) 994
35.1%
2024-04-30T03:58:05.800108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2368
 
17.1%
1 610
 
4.4%
관 552
 
4.0%
악 544
 
3.9%
동 499
 
3.6%
) 491
 
3.5%
( 491
 
3.5%
시 490
 
3.5%
서 486
 
3.5%
구 486
 
3.5%
Other values (174) 6860
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8132
58.6%
Space Separator 2368
 
17.1%
Decimal Number 2003
 
14.4%
Close Punctuation 491
 
3.5%
Open Punctuation 491
 
3.5%
Other Punctuation 355
 
2.6%
Dash Punctuation 27
 
0.2%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 552
 
6.8%
악 544
 
6.7%
동 499
 
6.1%
시 490
 
6.0%
서 486
 
6.0%
구 486
 
6.0%
울 484
 
6.0%
별 483
 
5.9%
특 483
 
5.9%
로 422
 
5.2%
Other values (154) 3203
39.4%
Decimal Number
ValueCountFrequency (%)
1 610
30.5%
2 272
13.6%
0 198
 
9.9%
3 194
 
9.7%
5 148
 
7.4%
6 139
 
6.9%
4 134
 
6.7%
8 112
 
5.6%
7 98
 
4.9%
9 98
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 4
40.0%
B 3
30.0%
K 1
 
10.0%
S 1
 
10.0%
H 1
 
10.0%
Space Separator
ValueCountFrequency (%)
2368
100.0%
Close Punctuation
ValueCountFrequency (%)
) 491
100.0%
Open Punctuation
ValueCountFrequency (%)
( 491
100.0%
Other Punctuation
ValueCountFrequency (%)
, 355
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8132
58.6%
Common 5735
41.3%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 552
 
6.8%
악 544
 
6.7%
동 499
 
6.1%
시 490
 
6.0%
서 486
 
6.0%
구 486
 
6.0%
울 484
 
6.0%
별 483
 
5.9%
특 483
 
5.9%
로 422
 
5.2%
Other values (154) 3203
39.4%
Common
ValueCountFrequency (%)
2368
41.3%
1 610
 
10.6%
) 491
 
8.6%
( 491
 
8.6%
, 355
 
6.2%
2 272
 
4.7%
0 198
 
3.5%
3 194
 
3.4%
5 148
 
2.6%
6 139
 
2.4%
Other values (5) 469
 
8.2%
Latin
ValueCountFrequency (%)
A 4
40.0%
B 3
30.0%
K 1
 
10.0%
S 1
 
10.0%
H 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8132
58.6%
ASCII 5745
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2368
41.2%
1 610
 
10.6%
) 491
 
8.5%
( 491
 
8.5%
, 355
 
6.2%
2 272
 
4.7%
0 198
 
3.4%
3 194
 
3.4%
5 148
 
2.6%
6 139
 
2.4%
Other values (10) 479
 
8.3%
Hangul
ValueCountFrequency (%)
관 552
 
6.8%
악 544
 
6.7%
동 499
 
6.1%
시 490
 
6.0%
서 486
 
6.0%
구 486
 
6.0%
울 484
 
6.0%
별 483
 
5.9%
특 483
 
5.9%
로 422
 
5.2%
Other values (154) 3203
39.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct152
Distinct (%)33.0%
Missing681
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean33263.527
Minimum6284
Maximum151914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:58:05.941988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6284
5-th percentile8711
Q18754
median8788
Q38849
95-th percentile151872
Maximum151914
Range145630
Interquartile range (IQR)95

Descriptive statistics

Standard deviation53912.014
Coefficient of variation (CV)1.6207546
Kurtosis1.0668713
Mean33263.527
Median Absolute Deviation (MAD)43
Skewness1.7499081
Sum15334486
Variance2.9065052 × 109
MonotonicityNot monotonic
2024-04-30T03:58:06.063335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8793 20
 
1.8%
8754 12
 
1.1%
8747 12
 
1.1%
8708 9
 
0.8%
8738 9
 
0.8%
8788 9
 
0.8%
8787 8
 
0.7%
151015 8
 
0.7%
8806 8
 
0.7%
8812 8
 
0.7%
Other values (142) 358
31.3%
(Missing) 681
59.6%
ValueCountFrequency (%)
6284 1
 
0.1%
8700 1
 
0.1%
8701 5
0.4%
8702 1
 
0.1%
8703 1
 
0.1%
8705 1
 
0.1%
8706 1
 
0.1%
8707 3
 
0.3%
8708 9
0.8%
8711 1
 
0.1%
ValueCountFrequency (%)
151914 1
 
0.1%
151906 1
 
0.1%
151904 1
 
0.1%
151902 1
 
0.1%
151900 2
0.2%
151898 3
0.3%
151888 1
 
0.1%
151885 1
 
0.1%
151883 1
 
0.1%
151881 1
 
0.1%

사업장명
Text

Distinct738
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2024-04-30T03:58:06.305418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length4.8590193
Min length3

Characters and Unicode

Total characters5549
Distinct characters303
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique492 ?
Unique (%)43.1%

Sample

1st row새들약국
2nd row동산당약국
3rd row인제약국
4th row화성약국
5th row계명약국
ValueCountFrequency (%)
신세계약국 10
 
0.9%
한약국 10
 
0.9%
신림프라자약국 10
 
0.9%
우리약국 7
 
0.6%
한신약국 6
 
0.5%
명성프라자약국 6
 
0.5%
도남희약국 6
 
0.5%
난곡비타민약국 6
 
0.5%
우리들약국 6
 
0.5%
유명약국 6
 
0.5%
Other values (731) 1086
93.7%
2024-04-30T03:58:06.645324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 1146
20.7%
약 1143
20.6%
한 110
 
2.0%
리 94
 
1.7%
성 84
 
1.5%
신 80
 
1.4%
온 62
 
1.1%
누 60
 
1.1%
당 59
 
1.1%
라 58
 
1.0%
Other values (293) 2653
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5478
98.7%
Decimal Number 42
 
0.8%
Space Separator 17
 
0.3%
Dash Punctuation 10
 
0.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 1146
20.9%
약 1143
20.9%
한 110
 
2.0%
리 94
 
1.7%
성 84
 
1.5%
신 80
 
1.5%
온 62
 
1.1%
누 60
 
1.1%
당 59
 
1.1%
라 58
 
1.1%
Other values (282) 2582
47.1%
Decimal Number
ValueCountFrequency (%)
1 21
50.0%
6 5
 
11.9%
2 5
 
11.9%
5 4
 
9.5%
3 3
 
7.1%
4 2
 
4.8%
0 2
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5478
98.7%
Common 69
 
1.2%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 1146
20.9%
약 1143
20.9%
한 110
 
2.0%
리 94
 
1.7%
성 84
 
1.5%
신 80
 
1.5%
온 62
 
1.1%
누 60
 
1.1%
당 59
 
1.1%
라 58
 
1.1%
Other values (282) 2582
47.1%
Common
ValueCountFrequency (%)
1 21
30.4%
17
24.6%
- 10
14.5%
6 5
 
7.2%
2 5
 
7.2%
5 4
 
5.8%
3 3
 
4.3%
4 2
 
2.9%
0 2
 
2.9%
Latin
ValueCountFrequency (%)
M 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5478
98.7%
ASCII 71
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 1146
20.9%
약 1143
20.9%
한 110
 
2.0%
리 94
 
1.7%
성 84
 
1.5%
신 80
 
1.5%
온 62
 
1.1%
누 60
 
1.1%
당 59
 
1.1%
라 58
 
1.1%
Other values (282) 2582
47.1%
ASCII
ValueCountFrequency (%)
1 21
29.6%
17
23.9%
- 10
14.1%
6 5
 
7.0%
2 5
 
7.0%
5 4
 
5.6%
3 3
 
4.2%
4 2
 
2.8%
0 2
 
2.8%
M 1
 
1.4%

최종수정일자
Date

Distinct589
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2008-12-15 09:18:11
Maximum2024-04-24 18:37:12
2024-04-30T03:58:06.766472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:58:06.885542image/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 size9.1 KiB
I
849 
U
293 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 849
74.3%
U 293
 
25.7%

Length

2024-04-30T03:58:06.986537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T03:58:07.069472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 849
74.3%
u 293
 
25.7%

데이터갱신일자
Date

Distinct127
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-30T03:58:07.163761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T03:58:07.292282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1142
Missing (%)100.0%
Memory size10.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct307
Distinct (%)63.8%
Missing661
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean194537.38
Minimum191250.03
Maximum198449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:58:07.409186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191250.03
5-th percentile192292.28
Q1193306.24
median194394.95
Q3195793.55
95-th percentile197005.06
Maximum198449
Range7198.9685
Interquartile range (IQR)2487.3135

Descriptive statistics

Standard deviation1653.6061
Coefficient of variation (CV)0.0085001973
Kurtosis-0.76267928
Mean194537.38
Median Absolute Deviation (MAD)1398.6005
Skewness0.26232466
Sum93572481
Variance2734413.3
MonotonicityNot monotonic
2024-04-30T03:58:07.704123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195274.343265834 7
 
0.6%
192723.283283962 6
 
0.5%
192553.589867505 6
 
0.5%
196977.893524291 5
 
0.4%
196898.641133589 5
 
0.4%
196350.708293561 5
 
0.4%
198197.381114459 5
 
0.4%
193483.606473194 5
 
0.4%
195345.358939177 5
 
0.4%
193945.509928744 5
 
0.4%
Other values (297) 427
37.4%
(Missing) 661
57.9%
ValueCountFrequency (%)
191250.033653461 1
0.1%
191264.654358325 1
0.1%
191334.658955208 2
0.2%
191376.602183978 2
0.2%
191494.217231529 1
0.1%
191583.603692104 1
0.1%
191642.07690248 1
0.1%
191955.476486656 1
0.1%
192012.500669524 1
0.1%
192058.4570392 1
0.1%
ValueCountFrequency (%)
198449.002171 1
 
0.1%
198374.473281221 1
 
0.1%
198284.078546351 2
 
0.2%
198264.990666667 2
 
0.2%
198197.381114459 5
0.4%
197989.550516662 1
 
0.1%
197965.134833373 1
 
0.1%
197958.524057933 2
 
0.2%
197915.557803746 2
 
0.2%
197890.507167407 4
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct307
Distinct (%)63.8%
Missing661
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean441962.16
Minimum439023.17
Maximum443547.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:58:07.820261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439023.17
5-th percentile440516.92
Q1441439.89
median442122.15
Q3442519.07
95-th percentile443094.69
Maximum443547.05
Range4523.8826
Interquartile range (IQR)1079.1773

Descriptive statistics

Standard deviation754.62618
Coefficient of variation (CV)0.0017074452
Kurtosis0.30175834
Mean441962.16
Median Absolute Deviation (MAD)527.55357
Skewness-0.62995233
Sum2.125838 × 108
Variance569460.67
MonotonicityNot monotonic
2024-04-30T03:58:07.935100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442663.498606503 7
 
0.6%
440135.318262207 6
 
0.5%
441423.303480883 6
 
0.5%
441104.530857029 5
 
0.4%
441462.735611261 5
 
0.4%
442532.440501316 5
 
0.4%
441551.985825455 5
 
0.4%
443094.686592235 5
 
0.4%
443273.487218185 5
 
0.4%
442519.065029911 5
 
0.4%
Other values (297) 427
37.4%
(Missing) 661
57.9%
ValueCountFrequency (%)
439023.167125842 1
 
0.1%
439787.715563055 1
 
0.1%
439816.999224208 3
0.3%
440102.354868197 1
 
0.1%
440135.318262207 6
0.5%
440178.60849927 1
 
0.1%
440200.203716349 2
 
0.2%
440205.2603058 1
 
0.1%
440262.310417983 1
 
0.1%
440263.768319604 2
 
0.2%
ValueCountFrequency (%)
443547.049696825 1
 
0.1%
443347.669199144 3
0.3%
443341.379446435 3
0.3%
443284.530613553 2
 
0.2%
443273.487218185 5
0.4%
443259.268821518 1
 
0.1%
443221.321009043 1
 
0.1%
443148.827256697 3
0.3%
443121.300653369 1
 
0.1%
443094.686592235 5
0.4%

약국영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct300
Distinct (%)33.4%
Missing245
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean20.277035
Minimum0
Maximum229.58
Zeros491
Zeros (%)43.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:58:08.054431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q334.28
95-th percentile79.19
Maximum229.58
Range229.58
Interquartile range (IQR)34.28

Descriptive statistics

Standard deviation29.449572
Coefficient of variation (CV)1.4523609
Kurtosis5.8384249
Mean20.277035
Median Absolute Deviation (MAD)0
Skewness2.0008497
Sum18188.5
Variance867.27729
MonotonicityNot monotonic
2024-04-30T03:58:08.192820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 491
43.0%
43.71 6
 
0.5%
32.4 5
 
0.4%
36.32 5
 
0.4%
42.47 5
 
0.4%
42.7 5
 
0.4%
103.36 4
 
0.4%
87.14 4
 
0.4%
41.61 3
 
0.3%
53.55 3
 
0.3%
Other values (290) 366
32.0%
(Missing) 245
21.5%
ValueCountFrequency (%)
0.0 491
43.0%
6.39 1
 
0.1%
7.3 3
 
0.3%
7.83 1
 
0.1%
8.19 1
 
0.1%
11.75 2
 
0.2%
13.12 1
 
0.1%
13.5 1
 
0.1%
15.41 1
 
0.1%
15.54 1
 
0.1%
ValueCountFrequency (%)
229.58 1
0.1%
169.3 1
0.1%
167.09 1
0.1%
167.05 1
0.1%
159.3 1
0.1%
135.84 1
0.1%
132.79 1
0.1%
124.16 2
0.2%
117.4 1
0.1%
113.26 1
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct850
Distinct (%)94.8%
Missing245
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean19978020
Minimum19650521
Maximum20220308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.2 KiB
2024-04-30T03:58:08.307813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19650521
5-th percentile19768426
Q119910613
median19990614
Q320060410
95-th percentile20150935
Maximum20220308
Range569787
Interquartile range (IQR)149797

Descriptive statistics

Standard deviation115983.38
Coefficient of variation (CV)0.0058055493
Kurtosis-0.43930716
Mean19978020
Median Absolute Deviation (MAD)70413
Skewness-0.36815583
Sum1.7920284 × 1010
Variance1.3452144 × 1010
MonotonicityNot monotonic
2024-04-30T03:58:08.422872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19920221 3
 
0.3%
20010219 3
 
0.3%
19930924 3
 
0.3%
20030603 2
 
0.2%
19960327 2
 
0.2%
20001229 2
 
0.2%
20140305 2
 
0.2%
20040202 2
 
0.2%
20030526 2
 
0.2%
20010202 2
 
0.2%
Other values (840) 874
76.5%
(Missing) 245
 
21.5%
ValueCountFrequency (%)
19650521 1
0.1%
19680321 1
0.1%
19690122 1
0.1%
19690203 1
0.1%
19690513 1
0.1%
19690731 1
0.1%
19700609 1
0.1%
19700720 1
0.1%
19700721 1
0.1%
19700822 1
0.1%
ValueCountFrequency (%)
20220308 1
0.1%
20201217 1
0.1%
20200429 1
0.1%
20200331 1
0.1%
20190722 1
0.1%
20190111 1
0.1%
20190107 1
0.1%
20181231 1
0.1%
20181224 1
0.1%
20181112 1
0.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
03200000PHMD11965320003308400000119650521<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>151058서울특별시 관악구 청룡동 922-24<NA><NA>새들약국2008-12-15 09:18:11I2018-08-31 23:59:59.0<NA><NA><NA>0.019650521
13200000PHMD11968320003308400000119680321<NA>3폐업3폐업<NA><NA><NA><NA>02-877-6749<NA>151056서울특별시 관악구 행운동 21-15<NA><NA>동산당약국2008-12-15 09:18:11I2018-08-31 23:59:59.0<NA><NA><NA>0.019680321
23200000PHMD1196832000330840000021968-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-877-8597<NA><NA>서울특별시 관악구 신림동 808번지 495호 인제약국서울특별시 관악구 원신2길 17, 인제약국 (신림동)8846인제약국2023-09-18 14:30:30U2022-12-08 22:00:00.0<NA>193951.207316440923.57159<NA><NA>
33200000PHMD11969320003308400000119690122<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>151053서울특별시 관악구 청림동 16-6<NA><NA>화성약국2008-12-15 09:18:12I2018-08-31 23:59:59.0<NA><NA><NA>0.019690122
43200000PHMD11969320003308400000219690203<NA>3폐업3폐업20191021<NA><NA><NA>02-877-0445<NA>151053서울특별시 관악구 청림동 10-36서울특별시 관악구 청림3길 15 (봉천동)8732계명약국2019-10-21 17:11:07U2019-10-23 02:40:00.0<NA>196292.033654442980.68508717.5219690203
53200000PHMD11969320003308400000319690513<NA>3폐업3폐업<NA><NA><NA><NA>02-877-0884<NA>151069서울특별시 관악구 은천동 502-4<NA><NA>선명약국2008-12-15 09:18:12I2018-08-31 23:59:59.0<NA><NA><NA>0.019690513
63200000PHMD1196932000330840000041969-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA>02-874-4360<NA>151-891서울특별시 관악구 신림동 1430번지 4호 1층서울특별시 관악구 신림로 383, 1층 (신림동)8707제정약국2024-02-08 16:18:30U2023-12-01 23:01:00.0<NA>193579.537895442899.970021<NA><NA>
73200000PHMD11969320003308400000519690731<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>151061서울특별시 관악구 인헌동 1637-36<NA><NA>연세약국2008-12-15 09:18:12I2018-08-31 23:59:59.0<NA><NA><NA>0.019690731
83200000PHMD11970320003308400000119700609<NA>3폐업3폐업<NA><NA><NA><NA>02-876-2996<NA>151055서울특별시 관악구 성현동 468-2<NA><NA>소예약국2008-12-15 09:18:12I2018-08-31 23:59:59.0<NA><NA><NA>0.019700609
93200000PHMD11970320003308400000219700720<NA>3폐업3폐업20121031<NA><NA><NA>02-877-9365<NA>151016서울특별시 관악구 삼성동 354<NA><NA>정씨약국2012-10-31 11:09:39I2018-08-31 23:59:59.0<NA><NA><NA>0.019700720
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)약국영업면적지정일자
11323200000PHMD1202332000330840000042023-08-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3285-1966<NA><NA>서울특별시 관악구 신림동 1422-4서울특별시 관악구 남부순환로 1635, 1층 (신림동)8754맑음약국2023-09-15 14:35:52U2022-12-08 23:07:00.0<NA>193945.509929442519.06503<NA><NA>
11333200000PHMD1202332000330840000052023-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA>02-883-7701<NA><NA>서울특별시 관악구 봉천동 870-12서울특별시 관악구 남부순환로 1805, 1층 (봉천동)8758설약국2024-01-12 14:15:21U2023-11-30 23:04:00.0<NA>195582.349111442179.357454<NA><NA>
11343200000PHMD1202332000330840000062023-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 96-95 , 1층서울특별시 관악구 신림로 208, 1층 (신림동)8836호약국2023-09-18 15:44:09U2022-12-08 22:00:00.0<NA>194394.953558441518.353051<NA><NA>
11353200000PHMD1202332000330840000072023-09-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-877-3272<NA><NA>서울특별시 관악구 봉천동 42-42서울특별시 관악구 관악로 233, 1층 101호 (봉천동)8744현대약국2023-09-11 11:52:10U2022-12-08 23:03:00.0<NA>195997.038333442590.301095<NA><NA>
11363200000PHMD1202332000330840000082023-10-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2088-2933<NA><NA>서울특별시 관악구 신림동 1411-24 프레콘빌딩 1층서울특별시 관악구 남부순환로 1646, 프레콘빌딩 1층 (신림동)8779양지바른약국2023-11-01 13:17:57U2022-11-01 00:03:00.0<NA>194062.10628442479.228478<NA><NA>
11373200000PHMD1202332000330840000092023-12-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-587-3477<NA><NA>서울특별시 관악구 봉천동 1657-24서울특별시 관악구 남부순환로 1952, 1층 (봉천동)8793해피약국2023-12-18 15:46:35I2022-11-01 22:00:00.0<NA>196892.414715441529.42779<NA><NA>
11383200000PHMD1202332000330840000102023-12-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3285-1223<NA><NA>서울특별시 관악구 봉천동 937-15 은호빌딩서울특별시 관악구 은천로 51, 은호빌딩 106호 (봉천동)8716봉천약국2023-12-28 09:12:48I2022-11-01 21:00:00.0<NA>194719.981416442674.193731<NA><NA>
11393200000PHMD1202432000330840000012024-03-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-838-3373<NA><NA>서울특별시 관악구 신림동 1586-1서울특별시 관악구 남부순환로172길 1, 1층 (신림동)8774신원약국2024-04-02 13:21:47U2023-12-04 00:04:00.0<NA>193356.709033442367.140509<NA><NA>
11403200000PHMD1202432000330840000022024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-882-3778<NA><NA>서울특별시 관악구 봉천동 1687-13서울특별시 관악구 남부순환로 1933, 101호 (봉천동)8801비타민약국2024-04-01 16:19:16I2023-12-04 00:03:00.0<NA>196759.114231441658.741814<NA><NA>
11413200000PHMD1202432000330840000032024-04-01<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6954-0088<NA><NA>서울특별시 관악구 남현동 1061-18서울특별시 관악구 과천대로 939, 1층 1-H-3호 (남현동)8807글로리약국2024-04-01 17:29:58I2023-12-04 00:03:00.0<NA>198284.078546441368.909287<NA><NA>