Overview

Dataset statistics

Number of variables8
Number of observations86
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory68.5 B

Variable types

Numeric3
Text3
Categorical2

Dataset

Description폐의약품 수집 참여 약국 정보 제공입니다. (약국명칭, 약국소재지_도로명주소, 위도, 경도, 전화번호, 관리기관 등)
URLhttps://www.data.go.kr/data/15074687/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique
약국명칭 has unique valuesUnique
약국소재지(도로명) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:08:39.098872
Analysis finished2023-12-12 11:08:41.003268
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.5
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T20:08:41.122237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.25
Q122.25
median43.5
Q364.75
95-th percentile81.75
Maximum86
Range85
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation24.969982
Coefficient of variation (CV)0.57402257
Kurtosis-1.2
Mean43.5
Median Absolute Deviation (MAD)21.5
Skewness0
Sum3741
Variance623.5
MonotonicityStrictly increasing
2023-12-12T20:08:41.329740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
56 1
 
1.2%
64 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
86 1
1.2%
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%

약국명칭
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T20:08:41.852301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5
Min length3

Characters and Unicode

Total characters430
Distinct characters127
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)100.0%

Sample

1st row대도약국
2nd row솔약국
3rd row산약국
4th row하이팜약국
5th row대성약국
ValueCountFrequency (%)
대도약국 1
 
1.1%
신아약국 1
 
1.1%
행복한약국 1
 
1.1%
한가람약국 1
 
1.1%
후문옵티마약국 1
 
1.1%
소미약국 1
 
1.1%
현약국 1
 
1.1%
늘푸른약국 1
 
1.1%
메디칼센터약국 1
 
1.1%
갈매 1
 
1.1%
Other values (78) 78
88.6%
2023-12-12T20:08:42.528017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 87
20.2%
약 86
20.0%
리 15
 
3.5%
누 7
 
1.6%
온 7
 
1.6%
디 5
 
1.2%
메 5
 
1.2%
문 5
 
1.2%
칼 4
 
0.9%
미 4
 
0.9%
Other values (117) 205
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 414
96.3%
Decimal Number 10
 
2.3%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 87
21.0%
약 86
20.8%
리 15
 
3.6%
누 7
 
1.7%
온 7
 
1.7%
디 5
 
1.2%
메 5
 
1.2%
문 5
 
1.2%
칼 4
 
1.0%
미 4
 
1.0%
Other values (110) 189
45.7%
Decimal Number
ValueCountFrequency (%)
6 3
30.0%
3 3
30.0%
5 3
30.0%
4 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 414
96.3%
Common 16
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 87
21.0%
약 86
20.8%
리 15
 
3.6%
누 7
 
1.7%
온 7
 
1.7%
디 5
 
1.2%
메 5
 
1.2%
문 5
 
1.2%
칼 4
 
1.0%
미 4
 
1.0%
Other values (110) 189
45.7%
Common
ValueCountFrequency (%)
6 3
18.8%
3 3
18.8%
5 3
18.8%
) 2
12.5%
( 2
12.5%
2
12.5%
4 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 414
96.3%
ASCII 16
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 87
21.0%
약 86
20.8%
리 15
 
3.6%
누 7
 
1.7%
온 7
 
1.7%
디 5
 
1.2%
메 5
 
1.2%
문 5
 
1.2%
칼 4
 
1.0%
미 4
 
1.0%
Other values (110) 189
45.7%
ASCII
ValueCountFrequency (%)
6 3
18.8%
3 3
18.8%
5 3
18.8%
) 2
12.5%
( 2
12.5%
2
12.5%
4 1
 
6.2%

약국소재지(도로명)
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T20:08:42.951787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length28.418605
Min length17

Characters and Unicode

Total characters2444
Distinct characters143
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

Unique86 ?
Unique (%)100.0%

Sample

1st row경기도 구리시 검배로 25 (수택동)
2nd row경기도 구리시 이문안로 80, 1층 102호 (수택동)
3rd row경기도 구리시 검배로93번길 7, 1층 9호 (수택동, 풍림연립)
4th row경기도 구리시 검배로 80 (수택동)
5th row경기도 구리시 경춘로 226 (수택동)
ValueCountFrequency (%)
경기도 86
 
16.6%
구리시 86
 
16.6%
수택동 40
 
7.7%
인창동 22
 
4.3%
경춘로 15
 
2.9%
이문안로 12
 
2.3%
검배로 9
 
1.7%
1층 9
 
1.7%
건원대로 9
 
1.7%
교문동 9
 
1.7%
Other values (161) 220
42.6%
2023-12-12T20:08:43.612953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
432
 
17.7%
경 106
 
4.3%
구 98
 
4.0%
동 97
 
4.0%
리 89
 
3.6%
기 87
 
3.6%
로 87
 
3.6%
시 87
 
3.6%
도 87
 
3.6%
1 83
 
3.4%
Other values (133) 1191
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1422
58.2%
Space Separator 432
 
17.7%
Decimal Number 349
 
14.3%
Open Punctuation 82
 
3.4%
Close Punctuation 82
 
3.4%
Other Punctuation 73
 
3.0%
Dash Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 106
 
7.5%
구 98
 
6.9%
동 97
 
6.8%
리 89
 
6.3%
기 87
 
6.1%
로 87
 
6.1%
시 87
 
6.1%
도 87
 
6.1%
수 41
 
2.9%
택 41
 
2.9%
Other values (116) 602
42.3%
Decimal Number
ValueCountFrequency (%)
1 83
23.8%
2 47
13.5%
0 46
13.2%
4 34
9.7%
6 28
 
8.0%
3 27
 
7.7%
7 27
 
7.7%
8 22
 
6.3%
9 18
 
5.2%
5 17
 
4.9%
Space Separator
ValueCountFrequency (%)
432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Other Punctuation
ValueCountFrequency (%)
, 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1422
58.2%
Common 1021
41.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 106
 
7.5%
구 98
 
6.9%
동 97
 
6.8%
리 89
 
6.3%
기 87
 
6.1%
로 87
 
6.1%
시 87
 
6.1%
도 87
 
6.1%
수 41
 
2.9%
택 41
 
2.9%
Other values (116) 602
42.3%
Common
ValueCountFrequency (%)
432
42.3%
1 83
 
8.1%
( 82
 
8.0%
) 82
 
8.0%
, 73
 
7.1%
2 47
 
4.6%
0 46
 
4.5%
4 34
 
3.3%
6 28
 
2.7%
3 27
 
2.6%
Other values (6) 87
 
8.5%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1422
58.2%
ASCII 1022
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
432
42.3%
1 83
 
8.1%
( 82
 
8.0%
) 82
 
8.0%
, 73
 
7.1%
2 47
 
4.6%
0 46
 
4.5%
4 34
 
3.3%
6 28
 
2.7%
3 27
 
2.6%
Other values (7) 88
 
8.6%
Hangul
ValueCountFrequency (%)
경 106
 
7.5%
구 98
 
6.9%
동 97
 
6.8%
리 89
 
6.3%
기 87
 
6.1%
로 87
 
6.1%
시 87
 
6.1%
도 87
 
6.1%
수 41
 
2.9%
택 41
 
2.9%
Other values (116) 602
42.3%

위도
Real number (ℝ)

Distinct81
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.601234
Minimum37.587065
Maximum37.637202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T20:08:43.839552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.587065
5-th percentile37.588212
Q137.594133
median37.600427
Q337.60455
95-th percentile37.63073
Maximum37.637202
Range0.05013676
Interquartile range (IQR)0.010417623

Descriptive statistics

Standard deviation0.010699398
Coefficient of variation (CV)0.00028454913
Kurtosis3.6786975
Mean37.601234
Median Absolute Deviation (MAD)0.0051013
Skewness1.7474375
Sum3233.7061
Variance0.00011447713
MonotonicityNot monotonic
2023-12-12T20:08:44.030789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6009961 3
 
3.5%
37.6025972 2
 
2.3%
37.58726466 2
 
2.3%
37.59125981 2
 
2.3%
37.60033213 1
 
1.2%
37.5990265 1
 
1.2%
37.59217299 1
 
1.2%
37.59214099 1
 
1.2%
37.60156083 1
 
1.2%
37.60148867 1
 
1.2%
Other values (71) 71
82.6%
ValueCountFrequency (%)
37.5870648 1
1.2%
37.58718588 1
1.2%
37.58726466 2
2.3%
37.58731499 1
1.2%
37.59090319 1
1.2%
37.59111879 1
1.2%
37.59115296 1
1.2%
37.59125981 2
2.3%
37.59154936 1
1.2%
37.59178881 1
1.2%
ValueCountFrequency (%)
37.63720156 1
1.2%
37.63660052 1
1.2%
37.63381751 1
1.2%
37.63274013 1
1.2%
37.6323149 1
1.2%
37.62597406 1
1.2%
37.61314267 1
1.2%
37.61001595 1
1.2%
37.6093999 1
1.2%
37.60905934 1
1.2%

경도
Real number (ℝ)

Distinct81
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.13862
Minimum127.11174
Maximum127.15099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2023-12-12T20:08:44.247983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.11174
5-th percentile127.12154
Q1127.13639
median127.14005
Q3127.14271
95-th percentile127.14693
Maximum127.15099
Range0.0392542
Interquartile range (IQR)0.006321175

Descriptive statistics

Standard deviation0.0071533592
Coefficient of variation (CV)5.6264252 × 10-5
Kurtosis3.4285647
Mean127.13862
Median Absolute Deviation (MAD)0.002825
Skewness-1.6114743
Sum10933.921
Variance5.1170548 × 10-5
MonotonicityNot monotonic
2023-12-12T20:08:44.504155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1334483 3
 
3.5%
127.1454458 2
 
2.3%
127.1384534 2
 
2.3%
127.1426538 2
 
2.3%
127.1400017 1
 
1.2%
127.1364155 1
 
1.2%
127.1381252 1
 
1.2%
127.1386804 1
 
1.2%
127.1318223 1
 
1.2%
127.1441674 1
 
1.2%
Other values (71) 71
82.6%
ValueCountFrequency (%)
127.1117362 1
1.2%
127.1174164 1
1.2%
127.1176493 1
1.2%
127.118339 1
1.2%
127.1214489 1
1.2%
127.1218073 1
1.2%
127.1311444 1
1.2%
127.1315622 1
1.2%
127.1318223 1
1.2%
127.1318319 1
1.2%
ValueCountFrequency (%)
127.1509904 1
1.2%
127.1493891 1
1.2%
127.1485748 1
1.2%
127.1471432 1
1.2%
127.1469325 1
1.2%
127.1469155 1
1.2%
127.1468483 1
1.2%
127.1464921 1
1.2%
127.1456258 1
1.2%
127.1455768 1
1.2%

전화번호
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-12-12T20:08:44.946771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.034884
Min length12

Characters and Unicode

Total characters1035
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

Unique86 ?
Unique (%)100.0%

Sample

1st row031-563-3454
2nd row031-551-3924
3rd row031-566-3305
4th row031-551-7610
5th row031-566-2337
ValueCountFrequency (%)
031-563-3454 1
 
1.2%
031-563-7804 1
 
1.2%
031-554-4348 1
 
1.2%
031-563-9800 1
 
1.2%
031-512-0896 1
 
1.2%
031-527-4990 1
 
1.2%
031-566-2911 1
 
1.2%
031-529-3828 1
 
1.2%
031-553-3553 1
 
1.2%
031-555-1147 1
 
1.2%
Other values (76) 76
88.4%
2023-12-12T20:08:46.122365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 176
17.0%
- 172
16.6%
0 136
13.1%
3 134
12.9%
1 131
12.7%
6 66
 
6.4%
2 58
 
5.6%
7 49
 
4.7%
4 41
 
4.0%
8 40
 
3.9%
Other values (2) 32
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 862
83.3%
Dash Punctuation 172
 
16.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 176
20.4%
0 136
15.8%
3 134
15.5%
1 131
15.2%
6 66
 
7.7%
2 58
 
6.7%
7 49
 
5.7%
4 41
 
4.8%
8 40
 
4.6%
9 31
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1035
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 176
17.0%
- 172
16.6%
0 136
13.1%
3 134
12.9%
1 131
12.7%
6 66
 
6.4%
2 58
 
5.6%
7 49
 
4.7%
4 41
 
4.0%
8 40
 
3.9%
Other values (2) 32
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1035
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 176
17.0%
- 172
16.6%
0 136
13.1%
3 134
12.9%
1 131
12.7%
6 66
 
6.4%
2 58
 
5.6%
7 49
 
4.7%
4 41
 
4.0%
8 40
 
3.9%
Other values (2) 32
 
3.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
경기도 구리시청
86 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 구리시청
2nd row경기도 구리시청
3rd row경기도 구리시청
4th row경기도 구리시청
5th row경기도 구리시청

Common Values

ValueCountFrequency (%)
경기도 구리시청 86
100.0%

Length

2023-12-12T20:08:46.347664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:08:46.491123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 86
50.0%
구리시청 86
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
2023-06-07
86 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-07
2nd row2023-06-07
3rd row2023-06-07
4th row2023-06-07
5th row2023-06-07

Common Values

ValueCountFrequency (%)
2023-06-07 86
100.0%

Length

2023-12-12T20:08:46.670839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:08:46.833623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-07 86
100.0%

Interactions

2023-12-12T20:08:40.307346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:08:39.627299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:08:39.978762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:08:40.430509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:08:39.728349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:08:40.070994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:08:40.563095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:08:39.843382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:08:40.181657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:08:46.940032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호약국명칭약국소재지(도로명)위도경도전화번호
번호1.0001.0001.0000.2200.0001.000
약국명칭1.0001.0001.0001.0001.0001.000
약국소재지(도로명)1.0001.0001.0001.0001.0001.000
위도0.2201.0001.0001.0000.8031.000
경도0.0001.0001.0000.8031.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-12T20:08:47.097467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호위도경도
번호1.0000.095-0.275
위도0.0951.000-0.418
경도-0.275-0.4181.000

Missing values

2023-12-12T20:08:40.759085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:08:40.927113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호약국명칭약국소재지(도로명)위도경도전화번호관리기관명데이터기준일자
01대도약국경기도 구리시 검배로 25 (수택동)37.598956127.142871031-563-3454경기도 구리시청2023-06-07
12솔약국경기도 구리시 이문안로 80, 1층 102호 (수택동)37.591981127.140279031-551-3924경기도 구리시청2023-06-07
23산약국경기도 구리시 검배로93번길 7, 1층 9호 (수택동, 풍림연립)37.595339127.148575031-566-3305경기도 구리시청2023-06-07
34하이팜약국경기도 구리시 검배로 80 (수택동)37.595373127.146933031-551-7610경기도 구리시청2023-06-07
45대성약국경기도 구리시 경춘로 226 (수택동)37.600499127.140577031-566-2337경기도 구리시청2023-06-07
56인창온누리약국경기도 구리시 건원대로 91 (인창동, 중앙빌딩)37.609059127.138225031-552-1616경기도 구리시청2023-06-07
67명약국경기도 구리시 장자대로37번길 55, 112호 (교문동, 덕현아파트상가)37.591153127.134174031-563-0733경기도 구리시청2023-06-07
78푸른약국경기도 구리시 건원대로34번길 73 (인창동, 인창주공6단지아파트상가)37.605542127.143963031-557-7267경기도 구리시청2023-06-07
89종근당약국경기도 구리시 경춘로 224 (수택동)37.600406127.140307031-553-5754,5경기도 구리시청2023-06-07
910메디팜365약국경기도 구리시 검배로6번길 3, 1층 (수택동)37.600217127.141464031-552-7071경기도 구리시청2023-06-07
번호약국명칭약국소재지(도로명)위도경도전화번호관리기관명데이터기준일자
7677기쁨약국경기도 구리시 건원대로 45, 유일빌딩 1층 (인창동)37.60497127.139609031-564-0225경기도 구리시청2023-06-07
7778갈매도움온누리약국경기도 구리시 갈매중앙로 87, 메이저타워 (갈매동)37.632315127.117416031-572-1356경기도 구리시청2023-06-07
7879힘찬약국경기도 구리시 건원대로 3, 흥화브라운오피스텔 (인창동)37.601418127.140646031-556-0056경기도 구리시청2023-06-07
7980시티약국경기도 구리시 갈매순환로 7, 에이스프라자 (갈매동)37.625974127.111736031-528-4045경기도 구리시청2023-06-07
8081웅약국경기도 구리시 경춘북로 252, 841동 C179호 (갈매동, 갈매역아이파크)37.633818127.118339031-527-0924경기도 구리시청2023-06-07
8182미소약국(토평)경기도 구리시 장자대로 72, 미림프라자 403호 (수택동)37.587265127.138453031-562-1490경기도 구리시청2023-06-07
8283하나약국경기도 구리시 경춘로227번길 14, 상원빌딩 301호 (인창동)37.601306127.140104031-553-9731경기도 구리시청2023-06-07
8384신세계약국경기도 구리시 갈매순환로 202, 로터스타워 102호37.637202127.121449031-575-0142경기도 구리시청2023-06-07
8485리맥스4층약국경기도 구리시 경춘로 239, 리맥스빌딩 4층37.601614127.141629031-556-4447경기도 구리시청2023-06-07
8586바로약국경기도 구리시 경춘로 165, 1~2층(교문동)37.600978127.133637031-552-2500경기도 구리시청2023-06-07