Overview

Dataset statistics

Number of variables24
Number of observations457
Missing cells2688
Missing cells (%)24.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory88.9 KiB
Average record size in memory199.3 B

Variable types

Numeric4
Categorical6
Text6
DateTime6
Unsupported2

Dataset

Description의정부시 관내 약국 현황 데이터로 번호, 개방서비스명, 개방서비스아이디, 개방자치단체코드, 관리번호, 인허가일자, 인허가취소일자, 영업상태명, 상세영업상태명, 폐업일자, 휴업시작일자, 휴업종료일자, 재개업일자, 소재지전화, 소재지전체주소, 도로명전체주소, 도로명우편번호, 사업장명, 최종수정시점, 위도, 경도, 약국영업면적, 지정일자, 데이터기준일 등의 항목으로 구성되어 있습니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15042744/fileData.do

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
데이터기준일 has constant value ""Constant
인허가취소일자 has 457 (100.0%) missing valuesMissing
폐업일자 has 178 (38.9%) missing valuesMissing
휴업시작일자 has 456 (99.8%) missing valuesMissing
휴업종료일자 has 456 (99.8%) missing valuesMissing
재개업일자 has 457 (100.0%) missing valuesMissing
소재지전화 has 16 (3.5%) missing valuesMissing
소재지전체주소 has 5 (1.1%) missing valuesMissing
도로명전체주소 has 50 (10.9%) missing valuesMissing
도로명우편번호 has 74 (16.2%) missing valuesMissing
최종수정시점 has 162 (35.4%) missing valuesMissing
위도 has 49 (10.7%) missing valuesMissing
경도 has 49 (10.7%) missing valuesMissing
지정일자 has 278 (60.8%) missing valuesMissing
번호 has unique valuesUnique
인허가취소일자 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

Reproduction

Analysis started2023-12-12 09:58:27.447522
Analysis finished2023-12-12 09:58:28.187851
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct457
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229
Minimum1
Maximum457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T18:58:28.304391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.8
Q1115
median229
Q3343
95-th percentile434.2
Maximum457
Range456
Interquartile range (IQR)228

Descriptive statistics

Standard deviation132.0688
Coefficient of variation (CV)0.57671963
Kurtosis-1.2
Mean229
Median Absolute Deviation (MAD)114
Skewness0
Sum104653
Variance17442.167
MonotonicityStrictly increasing
2023-12-12T18:58:28.478622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
315 1
 
0.2%
313 1
 
0.2%
312 1
 
0.2%
311 1
 
0.2%
310 1
 
0.2%
309 1
 
0.2%
308 1
 
0.2%
307 1
 
0.2%
306 1
 
0.2%
Other values (447) 447
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
457 1
0.2%
456 1
0.2%
455 1
0.2%
454 1
0.2%
453 1
0.2%
452 1
0.2%
451 1
0.2%
450 1
0.2%
449 1
0.2%
448 1
0.2%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
약국
457 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
약국 457
100.0%

Length

2023-12-12T18:58:28.627819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:58:28.731218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 457
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
01_01_06_P
457 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_06_P
2nd row01_01_06_P
3rd row01_01_06_P
4th row01_01_06_P
5th row01_01_06_P

Common Values

ValueCountFrequency (%)
01_01_06_P 457
100.0%

Length

2023-12-12T18:58:28.845623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:58:28.940187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_06_p 457
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
3820000
457 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3820000
2nd row3820000
3rd row3820000
4th row3820000
5th row3820000

Common Values

ValueCountFrequency (%)
3820000 457
100.0%

Length

2023-12-12T18:58:29.033099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:58:29.126487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3820000 457
100.0%

관리번호
Text

Distinct443
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T18:58:29.320413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length30
Mean length30
Min length30

Characters and Unicode

Total characters13710
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique431 ?
Unique (%)94.3%

Sample

1st rowPHMD1-2023-3820050-08-40-00001
2nd rowPHMD1-2022-3820050-08-40-00010
3rd rowPHMD1-2022-3820050-08-40-00009
4th rowPHMD1-2022-3820050-08-40-00008
5th rowPHMD1-2022-3820050-08-40-00007
ValueCountFrequency (%)
phmd1-2008-3820050-08-40-00016 3
 
0.7%
phmd1-2007-3820050-08-40-00025 3
 
0.7%
phmd1-1983-3820050-08-40-00001 2
 
0.4%
phmd1-2007-3820050-08-40-00011 2
 
0.4%
phmd1-2006-3820050-08-40-00006 2
 
0.4%
phmd1-2008-3820050-08-40-00020 2
 
0.4%
phmd1-2005-3820050-08-40-00012 2
 
0.4%
phmd1-2015-3820050-08-40-00004 2
 
0.4%
phmd1-1966-3820050-08-40-00001 2
 
0.4%
phmd1-2013-3820050-08-40-00008 2
 
0.4%
Other values (433) 435
95.2%
2023-12-12T18:58:29.665825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4477
32.7%
- 2285
16.7%
2 1085
 
7.9%
8 1039
 
7.6%
1 1029
 
7.5%
3 557
 
4.1%
5 550
 
4.0%
4 541
 
3.9%
P 457
 
3.3%
H 457
 
3.3%
Other values (5) 1233
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9597
70.0%
Dash Punctuation 2285
 
16.7%
Uppercase Letter 1828
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4477
46.6%
2 1085
 
11.3%
8 1039
 
10.8%
1 1029
 
10.7%
3 557
 
5.8%
5 550
 
5.7%
4 541
 
5.6%
9 126
 
1.3%
7 100
 
1.0%
6 93
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 457
25.0%
H 457
25.0%
M 457
25.0%
D 457
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2285
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11882
86.7%
Latin 1828
 
13.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4477
37.7%
- 2285
19.2%
2 1085
 
9.1%
8 1039
 
8.7%
1 1029
 
8.7%
3 557
 
4.7%
5 550
 
4.6%
4 541
 
4.6%
9 126
 
1.1%
7 100
 
0.8%
Latin
ValueCountFrequency (%)
P 457
25.0%
H 457
25.0%
M 457
25.0%
D 457
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4477
32.7%
- 2285
16.7%
2 1085
 
7.9%
8 1039
 
7.6%
1 1029
 
7.5%
3 557
 
4.1%
5 550
 
4.0%
4 541
 
3.9%
P 457
 
3.3%
H 457
 
3.3%
Other values (5) 1233
 
9.0%

인허가일자
Date

Distinct279
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum1899-12-30 00:00:00
Maximum2022-12-30 00:00:00
2023-12-12T18:58:29.849251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:58:30.072441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
279 
영업/정상
177 
휴업
 
1

Length

Max length5
Median length2
Mean length3.1619256
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 279
61.1%
영업/정상 177
38.7%
휴업 1
 
0.2%

Length

2023-12-12T18:58:30.211733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:58:30.340863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 279
61.1%
영업/정상 177
38.7%
휴업 1
 
0.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
폐업
279 
영업중
177 
휴업
 
1

Length

Max length3
Median length2
Mean length2.3873085
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 279
61.1%
영업중 177
38.7%
휴업 1
 
0.2%

Length

2023-12-12T18:58:30.503703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:58:30.648130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 279
61.1%
영업중 177
38.7%
휴업 1
 
0.2%

폐업일자
Date

MISSING 

Distinct251
Distinct (%)90.0%
Missing178
Missing (%)38.9%
Memory size3.7 KiB
Minimum2007-11-29 00:00:00
Maximum2023-01-01 00:00:00
2023-12-12T18:58:30.808179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:58:30.980229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing456
Missing (%)99.8%
Memory size3.7 KiB
Minimum2023-01-02 00:00:00
Maximum2023-01-02 00:00:00
2023-12-12T18:58:31.112263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:58:31.263223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing456
Missing (%)99.8%
Memory size3.7 KiB
Minimum2023-12-31 00:00:00
Maximum2023-12-31 00:00:00
2023-12-12T18:58:31.379450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:58:31.503982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing457
Missing (%)100.0%
Memory size4.1 KiB

소재지전화
Text

MISSING 

Distinct285
Distinct (%)64.6%
Missing16
Missing (%)3.5%
Memory size3.7 KiB
2023-12-12T18:58:31.797729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.024943
Min length8

Characters and Unicode

Total characters5303
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

Unique197 ?
Unique (%)44.7%

Sample

1st row031-873-9974
2nd row070-8287-1520
3rd row031-852-6555
4th row031-877-1596
5th row031-875-7562
ValueCountFrequency (%)
031-836-8251 6
 
1.4%
031-821-1474 5
 
1.1%
031-873-2626 5
 
1.1%
031-850-8231 5
 
1.1%
031-852-2212 5
 
1.1%
031-875-7562 5
 
1.1%
031-873-3579 5
 
1.1%
031-821-1415 4
 
0.9%
031-878-3211 4
 
0.9%
031-826-2907 4
 
0.9%
Other values (275) 393
89.1%
2023-12-12T18:58:32.215842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 880
16.6%
1 713
13.4%
0 690
13.0%
3 648
12.2%
8 617
11.6%
7 371
7.0%
2 341
 
6.4%
5 321
 
6.1%
4 287
 
5.4%
6 229
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4423
83.4%
Dash Punctuation 880
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 713
16.1%
0 690
15.6%
3 648
14.7%
8 617
13.9%
7 371
8.4%
2 341
7.7%
5 321
7.3%
4 287
6.5%
6 229
 
5.2%
9 206
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 880
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5303
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 880
16.6%
1 713
13.4%
0 690
13.0%
3 648
12.2%
8 617
11.6%
7 371
7.0%
2 341
 
6.4%
5 321
 
6.1%
4 287
 
5.4%
6 229
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5303
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 880
16.6%
1 713
13.4%
0 690
13.0%
3 648
12.2%
8 617
11.6%
7 371
7.0%
2 341
 
6.4%
5 321
 
6.1%
4 287
 
5.4%
6 229
 
4.3%

소재지전체주소
Text

MISSING 

Distinct387
Distinct (%)85.6%
Missing5
Missing (%)1.1%
Memory size3.7 KiB
2023-12-12T18:58:32.485762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length23.723451
Min length14

Characters and Unicode

Total characters10723
Distinct characters160
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique337 ?
Unique (%)74.6%

Sample

1st row경기도 의정부시 호원동 414-9
2nd row경기도 의정부시 고산동 952-1 제이프라자
3rd row경기도 의정부시 낙양동 737 예스프라자 시그니처
4th row경기도 의정부시 의정부동 442-11 서부타워빌딩
5th row경기도 의정부시 가능동 647-30
ValueCountFrequency (%)
의정부시 453
19.2%
경기도 452
19.2%
의정부동 100
 
4.2%
1층 83
 
3.5%
금오동 66
 
2.8%
호원동 47
 
2.0%
3호 35
 
1.5%
1호 29
 
1.2%
신곡동 29
 
1.2%
녹양동 28
 
1.2%
Other values (434) 1038
44.0%
2023-12-12T18:58:32.862127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1925
18.0%
의 595
 
5.5%
정 595
 
5.5%
부 595
 
5.5%
1 546
 
5.1%
동 465
 
4.3%
경 457
 
4.3%
시 457
 
4.3%
기 454
 
4.2%
도 453
 
4.2%
Other values (150) 4181
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6358
59.3%
Decimal Number 2286
 
21.3%
Space Separator 1925
 
18.0%
Dash Punctuation 128
 
1.2%
Uppercase Letter 14
 
0.1%
Other Punctuation 7
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 595
 
9.4%
정 595
 
9.4%
부 595
 
9.4%
동 465
 
7.3%
경 457
 
7.2%
시 457
 
7.2%
기 454
 
7.1%
도 453
 
7.1%
호 396
 
6.2%
지 339
 
5.3%
Other values (125) 1552
24.4%
Decimal Number
ValueCountFrequency (%)
1 546
23.9%
2 319
14.0%
4 294
12.9%
3 214
 
9.4%
5 209
 
9.1%
7 164
 
7.2%
0 161
 
7.0%
6 152
 
6.6%
8 116
 
5.1%
9 111
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 4
28.6%
D 3
21.4%
B 2
14.3%
K 1
 
7.1%
U 1
 
7.1%
N 1
 
7.1%
C 1
 
7.1%
T 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
@ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1925
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6358
59.3%
Common 4350
40.6%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 595
 
9.4%
정 595
 
9.4%
부 595
 
9.4%
동 465
 
7.3%
경 457
 
7.2%
시 457
 
7.2%
기 454
 
7.1%
도 453
 
7.1%
호 396
 
6.2%
지 339
 
5.3%
Other values (125) 1552
24.4%
Common
ValueCountFrequency (%)
1925
44.3%
1 546
 
12.6%
2 319
 
7.3%
4 294
 
6.8%
3 214
 
4.9%
5 209
 
4.8%
7 164
 
3.8%
0 161
 
3.7%
6 152
 
3.5%
- 128
 
2.9%
Other values (6) 238
 
5.5%
Latin
ValueCountFrequency (%)
A 4
26.7%
D 3
20.0%
B 2
13.3%
K 1
 
6.7%
U 1
 
6.7%
N 1
 
6.7%
C 1
 
6.7%
T 1
 
6.7%
Ⅱ 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6358
59.3%
ASCII 4364
40.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1925
44.1%
1 546
 
12.5%
2 319
 
7.3%
4 294
 
6.7%
3 214
 
4.9%
5 209
 
4.8%
7 164
 
3.8%
0 161
 
3.7%
6 152
 
3.5%
- 128
 
2.9%
Other values (14) 252
 
5.8%
Hangul
ValueCountFrequency (%)
의 595
 
9.4%
정 595
 
9.4%
부 595
 
9.4%
동 465
 
7.3%
경 457
 
7.2%
시 457
 
7.2%
기 454
 
7.1%
도 453
 
7.1%
호 396
 
6.2%
지 339
 
5.3%
Other values (125) 1552
24.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct328
Distinct (%)80.6%
Missing50
Missing (%)10.9%
Memory size3.7 KiB
2023-12-12T18:58:33.130168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length28.928747
Min length20

Characters and Unicode

Total characters11774
Distinct characters186
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

Unique272 ?
Unique (%)66.8%

Sample

1st row경기도 의정부시 평화로 381, 107,108호 (호원동)
2nd row경기도 의정부시 서광로 197, 제이프라자 1층 104호 (고산동)
3rd row경기도 의정부시 용민로 391, 예스프라자 시그니처 105호 (낙양동)
4th row경기도 의정부시 시민로 81, 서부타워빌딩 102호 (의정부동)
5th row경기도 의정부시 가능로 97, 1층 (가능동)
ValueCountFrequency (%)
경기도 407
 
16.4%
의정부시 407
 
16.4%
1층 153
 
6.2%
의정부동 126
 
5.1%
평화로 53
 
2.1%
금오동 53
 
2.1%
호원동 51
 
2.1%
가능동 33
 
1.3%
태평로 32
 
1.3%
신곡동 31
 
1.3%
Other values (414) 1132
45.7%
2023-12-12T18:58:33.529217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2074
 
17.6%
1 594
 
5.0%
의 557
 
4.7%
정 546
 
4.6%
부 540
 
4.6%
동 450
 
3.8%
시 437
 
3.7%
경 414
 
3.5%
로 410
 
3.5%
( 408
 
3.5%
Other values (176) 5344
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6520
55.4%
Space Separator 2074
 
17.6%
Decimal Number 1916
 
16.3%
Open Punctuation 408
 
3.5%
Close Punctuation 408
 
3.5%
Other Punctuation 391
 
3.3%
Dash Punctuation 49
 
0.4%
Uppercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 557
 
8.5%
정 546
 
8.4%
부 540
 
8.3%
동 450
 
6.9%
시 437
 
6.7%
경 414
 
6.3%
로 410
 
6.3%
도 407
 
6.2%
기 407
 
6.2%
호 232
 
3.6%
Other values (154) 2120
32.5%
Decimal Number
ValueCountFrequency (%)
1 594
31.0%
0 232
 
12.1%
2 231
 
12.1%
3 161
 
8.4%
6 137
 
7.2%
7 125
 
6.5%
4 120
 
6.3%
8 111
 
5.8%
5 111
 
5.8%
9 94
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 2
25.0%
B 2
25.0%
N 1
12.5%
K 1
12.5%
C 1
12.5%
T 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 390
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2074
100.0%
Open Punctuation
ValueCountFrequency (%)
( 408
100.0%
Close Punctuation
ValueCountFrequency (%)
) 408
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6520
55.4%
Common 5246
44.6%
Latin 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 557
 
8.5%
정 546
 
8.4%
부 540
 
8.3%
동 450
 
6.9%
시 437
 
6.7%
경 414
 
6.3%
로 410
 
6.3%
도 407
 
6.2%
기 407
 
6.2%
호 232
 
3.6%
Other values (154) 2120
32.5%
Common
ValueCountFrequency (%)
2074
39.5%
1 594
 
11.3%
( 408
 
7.8%
) 408
 
7.8%
, 390
 
7.4%
0 232
 
4.4%
2 231
 
4.4%
3 161
 
3.1%
6 137
 
2.6%
7 125
 
2.4%
Other values (6) 486
 
9.3%
Latin
ValueCountFrequency (%)
A 2
25.0%
B 2
25.0%
N 1
12.5%
K 1
12.5%
C 1
12.5%
T 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6520
55.4%
ASCII 5254
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2074
39.5%
1 594
 
11.3%
( 408
 
7.8%
) 408
 
7.8%
, 390
 
7.4%
0 232
 
4.4%
2 231
 
4.4%
3 161
 
3.1%
6 137
 
2.6%
7 125
 
2.4%
Other values (12) 494
 
9.4%
Hangul
ValueCountFrequency (%)
의 557
 
8.5%
정 546
 
8.4%
부 540
 
8.3%
동 450
 
6.9%
시 437
 
6.7%
경 414
 
6.3%
로 410
 
6.3%
도 407
 
6.2%
기 407
 
6.2%
호 232
 
3.6%
Other values (154) 2120
32.5%

도로명우편번호
Text

MISSING 

Distinct125
Distinct (%)32.6%
Missing74
Missing (%)16.2%
Memory size3.7 KiB
2023-12-12T18:58:33.817704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2480418
Min length6

Characters and Unicode

Total characters2393
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

Unique38 ?
Unique (%)9.9%

Sample

1st row'11703
2nd row'11801
3rd row'11770
4th row'11670
5th row'11683
ValueCountFrequency (%)
11695 19
 
5.0%
11813 15
 
3.9%
11686 12
 
3.1%
11692 11
 
2.9%
11749 11
 
2.9%
11610 10
 
2.6%
11765 9
 
2.3%
480-867 9
 
2.3%
480-842 8
 
2.1%
480-856 8
 
2.1%
Other values (115) 271
70.8%
2023-12-12T18:58:34.221652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 678
28.3%
' 288
12.0%
8 282
11.8%
6 213
 
8.9%
4 176
 
7.4%
7 175
 
7.3%
0 168
 
7.0%
5 100
 
4.2%
- 95
 
4.0%
9 83
 
3.5%
Other values (2) 135
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2010
84.0%
Other Punctuation 288
 
12.0%
Dash Punctuation 95
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 678
33.7%
8 282
14.0%
6 213
 
10.6%
4 176
 
8.8%
7 175
 
8.7%
0 168
 
8.4%
5 100
 
5.0%
9 83
 
4.1%
3 79
 
3.9%
2 56
 
2.8%
Other Punctuation
ValueCountFrequency (%)
' 288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2393
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 678
28.3%
' 288
12.0%
8 282
11.8%
6 213
 
8.9%
4 176
 
7.4%
7 175
 
7.3%
0 168
 
7.0%
5 100
 
4.2%
- 95
 
4.0%
9 83
 
3.5%
Other values (2) 135
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2393
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 678
28.3%
' 288
12.0%
8 282
11.8%
6 213
 
8.9%
4 176
 
7.4%
7 175
 
7.3%
0 168
 
7.0%
5 100
 
4.2%
- 95
 
4.0%
9 83
 
3.5%
Other values (2) 135
 
5.6%

사업장명
Text

Distinct291
Distinct (%)63.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T18:58:34.459797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.02407
Min length3

Characters and Unicode

Total characters2296
Distinct characters227
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)44.6%

Sample

1st row셀메드자연약국
2nd row도영약국
3rd row종로약국
4th row정다운약국
5th row평안약국
ValueCountFrequency (%)
햇살온누리약국 9
 
1.9%
유명약국 6
 
1.3%
플러스약국 6
 
1.3%
한우리약국 6
 
1.3%
성모약국 6
 
1.3%
다나약국 6
 
1.3%
약국 6
 
1.3%
대일약국 5
 
1.1%
한마음약국 5
 
1.1%
신세계약국 5
 
1.1%
Other values (287) 415
87.4%
2023-12-12T18:58:34.832546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 460
20.0%
약 458
19.9%
리 60
 
2.6%
누 38
 
1.7%
성 38
 
1.7%
온 36
 
1.6%
한 36
 
1.6%
정 23
 
1.0%
모 22
 
1.0%
우 21
 
0.9%
Other values (217) 1104
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2263
98.6%
Space Separator 18
 
0.8%
Decimal Number 15
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 460
20.3%
약 458
20.2%
리 60
 
2.7%
누 38
 
1.7%
성 38
 
1.7%
온 36
 
1.6%
한 36
 
1.6%
정 23
 
1.0%
모 22
 
1.0%
우 21
 
0.9%
Other values (210) 1071
47.3%
Decimal Number
ValueCountFrequency (%)
2 7
46.7%
1 2
 
13.3%
6 2
 
13.3%
0 2
 
13.3%
3 1
 
6.7%
5 1
 
6.7%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2263
98.6%
Common 33
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 460
20.3%
약 458
20.2%
리 60
 
2.7%
누 38
 
1.7%
성 38
 
1.7%
온 36
 
1.6%
한 36
 
1.6%
정 23
 
1.0%
모 22
 
1.0%
우 21
 
0.9%
Other values (210) 1071
47.3%
Common
ValueCountFrequency (%)
18
54.5%
2 7
 
21.2%
1 2
 
6.1%
6 2
 
6.1%
0 2
 
6.1%
3 1
 
3.0%
5 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2263
98.6%
ASCII 33
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 460
20.3%
약 458
20.2%
리 60
 
2.7%
누 38
 
1.7%
성 38
 
1.7%
온 36
 
1.6%
한 36
 
1.6%
정 23
 
1.0%
모 22
 
1.0%
우 21
 
0.9%
Other values (210) 1071
47.3%
ASCII
ValueCountFrequency (%)
18
54.5%
2 7
 
21.2%
1 2
 
6.1%
6 2
 
6.1%
0 2
 
6.1%
3 1
 
3.0%
5 1
 
3.0%

최종수정시점
Date

MISSING 

Distinct230
Distinct (%)78.0%
Missing162
Missing (%)35.4%
Memory size3.7 KiB
Minimum1965-09-20 00:00:00
Maximum2023-01-10 00:00:00
2023-12-12T18:58:34.958337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:58:35.078012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Real number (ℝ)

MISSING 

Distinct233
Distinct (%)57.1%
Missing49
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean37.74184
Minimum37.705391
Maximum37.760688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T18:58:35.207538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.705391
5-th percentile37.719981
Q137.736628
median37.742359
Q337.750455
95-th percentile37.758266
Maximum37.760688
Range0.05529745
Interquartile range (IQR)0.01382662

Descriptive statistics

Standard deviation0.011756863
Coefficient of variation (CV)0.00031150742
Kurtosis0.46642405
Mean37.74184
Median Absolute Deviation (MAD)0.007406845
Skewness-0.75287734
Sum15398.671
Variance0.00013822383
MonotonicityNot monotonic
2023-12-12T18:58:35.334823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.75045455 7
 
1.5%
37.71220359 6
 
1.3%
37.74770626 6
 
1.3%
37.7604811 6
 
1.3%
37.72793107 5
 
1.1%
37.73749228 5
 
1.1%
37.7417065 5
 
1.1%
37.74496689 5
 
1.1%
37.75088469 5
 
1.1%
37.76012374 5
 
1.1%
Other values (223) 353
77.2%
(Missing) 49
 
10.7%
ValueCountFrequency (%)
37.70539055 3
0.7%
37.70824233 1
 
0.2%
37.70945854 1
 
0.2%
37.71220359 6
1.3%
37.71241338 3
0.7%
37.71258619 1
 
0.2%
37.71324799 1
 
0.2%
37.71358357 3
0.7%
37.71427079 1
 
0.2%
37.71950175 1
 
0.2%
ValueCountFrequency (%)
37.760688 1
 
0.2%
37.7604811 6
1.3%
37.76012374 5
1.1%
37.75989796 3
0.7%
37.75967983 1
 
0.2%
37.75879521 1
 
0.2%
37.75858705 1
 
0.2%
37.75836133 1
 
0.2%
37.75832119 1
 
0.2%
37.75826807 1
 
0.2%

경도
Real number (ℝ)

MISSING 

Distinct233
Distinct (%)57.1%
Missing49
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean127.05748
Minimum127.03227
Maximum127.1186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T18:58:35.762668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.03227
5-th percentile127.0353
Q1127.04409
median127.04959
Q3127.06965
95-th percentile127.09918
Maximum127.1186
Range0.0863284
Interquartile range (IQR)0.0255574

Descriptive statistics

Standard deviation0.02000008
Coefficient of variation (CV)0.0001574097
Kurtosis0.66510273
Mean127.05748
Median Absolute Deviation (MAD)0.0076154
Skewness1.229976
Sum51839.453
Variance0.00040000321
MonotonicityNot monotonic
2023-12-12T18:58:35.888806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0352965 7
 
1.5%
127.047778 6
 
1.3%
127.0493031 6
 
1.3%
127.041004 6
 
1.3%
127.0433026 5
 
1.1%
127.0874518 5
 
1.1%
127.0424438 5
 
1.1%
127.0625429 5
 
1.1%
127.0448 5
 
1.1%
127.0413649 5
 
1.1%
Other values (223) 353
77.2%
(Missing) 49
 
10.7%
ValueCountFrequency (%)
127.032271 1
 
0.2%
127.0328701 1
 
0.2%
127.0333078 1
 
0.2%
127.0339747 3
0.7%
127.0340363 1
 
0.2%
127.0340454 1
 
0.2%
127.0341729 3
0.7%
127.0342122 2
0.4%
127.0343488 1
 
0.2%
127.0346282 1
 
0.2%
ValueCountFrequency (%)
127.1185994 1
 
0.2%
127.1180815 1
 
0.2%
127.1135956 3
0.7%
127.1135718 1
 
0.2%
127.1128952 4
0.9%
127.1126702 1
 
0.2%
127.1118598 1
 
0.2%
127.1104675 1
 
0.2%
127.1092519 2
0.4%
127.1023642 1
 
0.2%

약국영업면적
Real number (ℝ)

Distinct319
Distinct (%)70.0%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean53.858816
Minimum0
Maximum302.3
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2023-12-12T18:58:36.021823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.53
Q130
median43.21
Q364.75
95-th percentile125.3
Maximum302.3
Range302.3
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation37.983994
Coefficient of variation (CV)0.70525119
Kurtosis8.9790251
Mean53.858816
Median Absolute Deviation (MAD)15.84
Skewness2.4482578
Sum24559.62
Variance1442.7838
MonotonicityNot monotonic
2023-12-12T18:58:36.179067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.0 5
 
1.1%
57.81 5
 
1.1%
30.08 5
 
1.1%
39.37 5
 
1.1%
82.0 5
 
1.1%
81.25 4
 
0.9%
27.93 4
 
0.9%
6.0 4
 
0.9%
34.3 4
 
0.9%
20.0 4
 
0.9%
Other values (309) 411
89.9%
ValueCountFrequency (%)
0.0 2
0.4%
2.56 1
 
0.2%
6.0 4
0.9%
9.0 2
0.4%
10.0 1
 
0.2%
13.0 1
 
0.2%
13.22 1
 
0.2%
13.84 2
0.4%
14.0 1
 
0.2%
14.89 1
 
0.2%
ValueCountFrequency (%)
302.3 1
0.2%
252.9 1
0.2%
240.0 1
0.2%
234.0 1
0.2%
214.94 1
0.2%
214.0 1
0.2%
205.6 1
0.2%
185.0 1
0.2%
165.9 1
0.2%
152.13 2
0.4%

지정일자
Date

MISSING 

Distinct143
Distinct (%)79.9%
Missing278
Missing (%)60.8%
Memory size3.7 KiB
Minimum1965-09-20 00:00:00
Maximum2023-01-10 00:00:00
2023-12-12T18:58:36.359221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:58:36.500292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-01-01
457 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 457
100.0%

Length

2023-12-12T18:58:36.662205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:58:36.742900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 457
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태명상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점위도경도약국영업면적지정일자데이터기준일
01약국01_01_06_P3820000PHMD1-2023-3820050-08-40-000012022-12-30<NA>영업/정상영업중<NA><NA><NA><NA>031-873-9974경기도 의정부시 호원동 414-9경기도 의정부시 평화로 381, 107,108호 (호원동)'11703셀메드자연약국2022-12-3037.725969127.04789872.162022-12-302023-01-01
12약국01_01_06_P3820000PHMD1-2022-3820050-08-40-000102022-10-12<NA>영업/정상영업중<NA><NA><NA><NA>070-8287-1520경기도 의정부시 고산동 952-1 제이프라자경기도 의정부시 서광로 197, 제이프라자 1층 104호 (고산동)'11801도영약국2022-10-12<NA><NA>34.22022-10-122023-01-01
23약국01_01_06_P3820000PHMD1-2022-3820050-08-40-000092022-08-23<NA>영업/정상영업중<NA><NA><NA><NA>031-852-6555경기도 의정부시 낙양동 737 예스프라자 시그니처경기도 의정부시 용민로 391, 예스프라자 시그니처 105호 (낙양동)'11770종로약국2022-08-2337.755453127.1118645.92022-08-232023-01-01
34약국01_01_06_P3820000PHMD1-2022-3820050-08-40-000082022-07-14<NA>영업/정상영업중<NA><NA><NA><NA>031-877-1596경기도 의정부시 의정부동 442-11 서부타워빌딩경기도 의정부시 시민로 81, 서부타워빌딩 102호 (의정부동)'11670정다운약국2022-07-1437.738678127.04421440.62022-07-142023-01-01
45약국01_01_06_P3820000PHMD1-2022-3820050-08-40-000072022-06-10<NA>영업/정상영업중<NA><NA><NA><NA>031-875-7562경기도 의정부시 가능동 647-30경기도 의정부시 가능로 97, 1층 (가능동)'11683평안약국2022-06-1337.746974127.04204824.62022-06-132023-01-01
56약국01_01_06_P3820000PHMD1-2022-3820050-08-40-000062022-06-10<NA>영업/정상영업중<NA><NA><NA><NA>031-928-5761경기도 의정부시 금오동 433-3경기도 의정부시 동일로 709, 1,2,3층 (금오동)'11749빨간문약국2022-06-0937.750263127.051097302.32022-06-092023-01-01
67약국01_01_06_P3820000PHMD1-2022-3820050-08-40-000052022-05-31<NA>영업/정상영업중<NA><NA><NA><NA>031-852-4457경기도 의정부시 신곡동 760-5 경남빌딩경기도 의정부시 청사로5번길 26, 경남빌딩 113,114호 (신곡동)'11775드림피아약국2022-06-0137.748811127.06965173.42022-06-012023-01-01
78약국01_01_06_P3820000PHMD1-2022-3820050-08-40-000042022-05-30<NA>영업/정상영업중<NA><NA><NA><NA>031-822-7749경기도 의정부시 산곡동 686-5 지석프라자경기도 의정부시 월유로 13, 지석프라자 109호 (산곡동)'11800필약국2022-05-3037.729235127.11046760.32022-05-302023-01-01
89약국01_01_06_P3820000PHMD1-2022-3820050-08-40-000032022-04-01<NA>영업/정상영업중<NA><NA><NA><NA>031-935-4020경기도 의정부시 용현동 39-9경기도 의정부시 오목로 33, 1층 113호 (용현동)'11791탑메디칼약국2022-04-0137.733544127.08638691.82022-04-012023-01-01
910약국01_01_06_P3820000PHMD1-2022-3820050-08-40-000022022-03-23<NA>영업/정상영업중<NA><NA><NA><NA>031-840-0777경기도 의정부시 금오동 439경기도 의정부시 동일로 713, 1층 120호 (금오동)'11749을지문덕약국2022-03-2237.750547127.04975157.02022-03-222023-01-01
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태명상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점위도경도약국영업면적지정일자데이터기준일
447448약국01_01_06_P3820000PHMD1-1986-3820050-08-40-000011899-12-30<NA>폐업폐업2019-01-25<NA><NA><NA>031-846-3353경기도 의정부시 의정부1동 159-14경기도 의정부시 시민로131번길 60 (의정부동)'11695도미당약국<NA>37.740832127.04982115.0<NA>2023-01-01
448449약국01_01_06_P3820000PHMD1-1983-3820050-08-40-000011899-12-30<NA>폐업폐업2008-09-30<NA><NA><NA>031-873-2626경기도 의정부시 의정부2동 431-24 1층<NA><NA>성모약국<NA><NA><NA>25.0<NA>2023-01-01
449450약국01_01_06_P3820000PHMD1-1983-3820050-08-40-000011899-12-30<NA>폐업폐업2008-09-30<NA><NA><NA>031-873-2626경기도 의정부시 의정부2동 431-24 1층<NA><NA>성모약국<NA><NA><NA>25.0<NA>2023-01-01
450451약국01_01_06_P3820000PHMD1-1981-3820050-08-40-000031899-12-30<NA>폐업폐업2022-04-26<NA><NA><NA>031-877-0513경기도 의정부시 호원동 376-13경기도 의정부시 신흥로119번길 78-1 (호원동)'11630장미약국<NA>37.727423127.03906422.5<NA>2023-01-01
451452약국01_01_06_P3820000PHMD1-1980-3820050-08-40-000021899-12-30<NA>폐업폐업2010-07-13<NA><NA><NA>031-873-2704경기도 의정부시 가능동 738번지 33호<NA><NA>또나약국<NA><NA><NA>15.0<NA>2023-01-01
452453약국01_01_06_P3820000PHMD1-1980-3820050-08-40-000011899-12-30<NA>폐업폐업2011-06-30<NA><NA><NA>031-876-2151경기도 의정부시 가능3동 700-37<NA><NA>중앙약국<NA><NA><NA>28.0<NA>2023-01-01
453454약국01_01_06_P3820000PHMD1-1978-3820050-08-40-000011899-12-30<NA>폐업폐업2008-09-30<NA><NA><NA>031-874-3261경기도 의정부시 가능2동 715-4<NA><NA>우성약국<NA><NA><NA>14.0<NA>2023-01-01
454455약국01_01_06_P3820000PHMD1-1974-3820050-08-40-000011899-12-30<NA>폐업폐업2011-11-07<NA><NA><NA>031-872-8585경기도 의정부시 가능2동 742-14<NA><NA>종근당약국<NA><NA><NA>6.0<NA>2023-01-01
455456약국01_01_06_P3820000PHMD1-1973-3820050-08-40-000011899-12-30<NA>폐업폐업2020-09-16<NA><NA><NA>031-872-5920경기도 의정부시 호원동 454번지경기도 의정부시 평화로 239 (호원동)'11711용일약국<NA>37.713248127.0471219.0<NA>2023-01-01
456457약국01_01_06_P3820000PHMD1-1962-3820050-08-40-000021899-12-30<NA>폐업폐업2011-01-24<NA><NA><NA>031-872-4645경기도 의정부시 의정부2동 440-2<NA><NA>포천약국<NA><NA><NA>15.0<NA>2023-01-01