Overview

Dataset statistics

Number of variables9
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory76.4 B

Variable types

Text3
DateTime1
Categorical3
Numeric2

Dataset

Description대구광역시_달성군_약국현황_20240314
Author대구광역시 달성군
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15043058&dataSetDetailId=150430581d044c6d02852&provdMethod=FILE

Alerts

영업상태구분코드 has constant value ""Constant
영업상태명 has constant value ""Constant
데이터가기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
관리번호 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:14:53.489391
Analysis finished2024-03-23 07:14:56.974775
Duration3.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-03-23T07:14:57.329271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length30
Mean length30
Min length30

Characters and Unicode

Total characters2880
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

Unique96 ?
Unique (%)100.0%

Sample

1st rowPHMD1-2023-3480012-08-40-00007
2nd rowPHMD1-2023-3480012-08-40-00006
3rd rowPHMD1-2023-3480012-08-40-00005
4th rowPHMD1-2023-3480012-08-40-00004
5th rowPHMD1-2023-3480012-08-40-00003
ValueCountFrequency (%)
phmd1-2023-3480012-08-40-00007 1
 
1.0%
phmd1-2023-3480012-08-40-00006 1
 
1.0%
phmd1-2010-3480012-08-40-00005 1
 
1.0%
phmd1-2011-3480012-08-40-00001 1
 
1.0%
phmd1-2011-3480012-08-40-00002 1
 
1.0%
phmd1-2011-3480012-08-40-00011 1
 
1.0%
phmd1-2011-3480012-08-40-00012 1
 
1.0%
phmd1-2012-3480012-08-40-00009 1
 
1.0%
phmd1-2013-3480012-08-40-00003 1
 
1.0%
phmd1-2013-3480012-08-40-00004 1
 
1.0%
Other values (86) 86
89.6%
2024-03-23T07:14:58.684631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 873
30.3%
- 480
16.7%
1 302
 
10.5%
2 222
 
7.7%
8 211
 
7.3%
4 205
 
7.1%
3 124
 
4.3%
P 96
 
3.3%
H 96
 
3.3%
M 96
 
3.3%
Other values (5) 175
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
70.0%
Dash Punctuation 480
 
16.7%
Uppercase Letter 384
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 873
43.3%
1 302
 
15.0%
2 222
 
11.0%
8 211
 
10.5%
4 205
 
10.2%
3 124
 
6.2%
7 23
 
1.1%
9 23
 
1.1%
6 17
 
0.8%
5 16
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
P 96
25.0%
H 96
25.0%
M 96
25.0%
D 96
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2496
86.7%
Latin 384
 
13.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 873
35.0%
- 480
19.2%
1 302
 
12.1%
2 222
 
8.9%
8 211
 
8.5%
4 205
 
8.2%
3 124
 
5.0%
7 23
 
0.9%
9 23
 
0.9%
6 17
 
0.7%
Latin
ValueCountFrequency (%)
P 96
25.0%
H 96
25.0%
M 96
25.0%
D 96
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 873
30.3%
- 480
16.7%
1 302
 
10.5%
2 222
 
7.7%
8 211
 
7.3%
4 205
 
7.1%
3 124
 
4.3%
P 96
 
3.3%
H 96
 
3.3%
M 96
 
3.3%
Other values (5) 175
 
6.1%

인허가일자
Date

Distinct95
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum1976-05-15 00:00:00
Maximum2023-09-04 00:00:00
2024-03-23T07:14:59.359267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:15:00.238253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 96
100.0%

Length

2024-03-23T07:15:00.830227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:15:01.278537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 96
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
영업
96 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 96
100.0%

Length

2024-03-23T07:15:01.792163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:15:02.106140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 96
100.0%

도로명주소
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-03-23T07:15:03.056404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length24.864583
Min length19

Characters and Unicode

Total characters2387
Distinct characters108
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row대구광역시 달성군 다사읍 다사역로 60, 상가동 106호 (다사 e-편한세상)
2nd row대구광역시 달성군 현풍읍 테크노상업로2길 8-7, 102호
3rd row대구광역시 달성군 다사읍 다사역로 39, 101호
4th row대구광역시 달성군 현풍읍 테크노상업로 62, 118호
5th row대구광역시 달성군 화원읍 비슬로 2463, 102호
ValueCountFrequency (%)
대구광역시 96
18.5%
달성군 96
18.5%
다사읍 29
 
5.6%
화원읍 23
 
4.4%
비슬로 17
 
3.3%
현풍읍 15
 
2.9%
달구벌대로 14
 
2.7%
테크노상업로 11
 
2.1%
논공읍 9
 
1.7%
유가읍 9
 
1.7%
Other values (153) 200
38.5%
2024-03-23T07:15:04.651687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
423
17.7%
구 114
 
4.8%
대 113
 
4.7%
달 111
 
4.7%
역 100
 
4.2%
성 100
 
4.2%
광 97
 
4.1%
군 96
 
4.0%
로 96
 
4.0%
시 96
 
4.0%
Other values (98) 1041
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1549
64.9%
Space Separator 423
 
17.7%
Decimal Number 358
 
15.0%
Other Punctuation 26
 
1.1%
Dash Punctuation 9
 
0.4%
Uppercase Letter 8
 
0.3%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 114
 
7.4%
대 113
 
7.3%
달 111
 
7.2%
역 100
 
6.5%
성 100
 
6.5%
광 97
 
6.3%
군 96
 
6.2%
로 96
 
6.2%
시 96
 
6.2%
읍 90
 
5.8%
Other values (76) 536
34.6%
Decimal Number
ValueCountFrequency (%)
1 79
22.1%
2 61
17.0%
0 42
11.7%
8 32
8.9%
6 30
 
8.4%
7 29
 
8.1%
5 27
 
7.5%
4 27
 
7.5%
9 16
 
4.5%
3 15
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
37.5%
M 2
25.0%
L 1
 
12.5%
Z 1
 
12.5%
P 1
 
12.5%
Space Separator
ValueCountFrequency (%)
423
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1549
64.9%
Common 829
34.7%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 114
 
7.4%
대 113
 
7.3%
달 111
 
7.2%
역 100
 
6.5%
성 100
 
6.5%
광 97
 
6.3%
군 96
 
6.2%
로 96
 
6.2%
시 96
 
6.2%
읍 90
 
5.8%
Other values (76) 536
34.6%
Common
ValueCountFrequency (%)
423
51.0%
1 79
 
9.5%
2 61
 
7.4%
0 42
 
5.1%
8 32
 
3.9%
6 30
 
3.6%
7 29
 
3.5%
5 27
 
3.3%
4 27
 
3.3%
, 26
 
3.1%
Other values (6) 53
 
6.4%
Latin
ValueCountFrequency (%)
A 3
33.3%
M 2
22.2%
L 1
 
11.1%
e 1
 
11.1%
Z 1
 
11.1%
P 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1549
64.9%
ASCII 838
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
423
50.5%
1 79
 
9.4%
2 61
 
7.3%
0 42
 
5.0%
8 32
 
3.8%
6 30
 
3.6%
7 29
 
3.5%
5 27
 
3.2%
4 27
 
3.2%
, 26
 
3.1%
Other values (12) 62
 
7.4%
Hangul
ValueCountFrequency (%)
구 114
 
7.4%
대 113
 
7.3%
달 111
 
7.2%
역 100
 
6.5%
성 100
 
6.5%
광 97
 
6.3%
군 96
 
6.2%
로 96
 
6.2%
시 96
 
6.2%
읍 90
 
5.8%
Other values (76) 536
34.6%

사업장명
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-03-23T07:15:05.391948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7.5
Mean length4.90625
Min length3

Characters and Unicode

Total characters471
Distinct characters128
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

Unique96 ?
Unique (%)100.0%

Sample

1st row다사진약국
2nd row호호약국
3rd row시온동산약국
4th row아빠곰약국
5th row설화약국
ValueCountFrequency (%)
약국 2
 
2.0%
비슬약국 1
 
1.0%
한일약국 1
 
1.0%
홍익대학약국 1
 
1.0%
뉴한솔약국 1
 
1.0%
그린빌하나약국 1
 
1.0%
세명약국 1
 
1.0%
중앙약국 1
 
1.0%
튼튼약국 1
 
1.0%
죽곡탑약국 1
 
1.0%
Other values (89) 89
89.0%
2024-03-23T07:15:06.914414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 96
20.4%
국 96
20.4%
리 13
 
2.8%
온 10
 
2.1%
한 8
 
1.7%
누 8
 
1.7%
동 7
 
1.5%
산 6
 
1.3%
하 6
 
1.3%
나 6
 
1.3%
Other values (118) 215
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
99.2%
Space Separator 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 96
20.6%
국 96
20.6%
리 13
 
2.8%
온 10
 
2.1%
한 8
 
1.7%
누 8
 
1.7%
동 7
 
1.5%
산 6
 
1.3%
하 6
 
1.3%
나 6
 
1.3%
Other values (117) 211
45.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
99.2%
Common 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 96
20.6%
국 96
20.6%
리 13
 
2.8%
온 10
 
2.1%
한 8
 
1.7%
누 8
 
1.7%
동 7
 
1.5%
산 6
 
1.3%
하 6
 
1.3%
나 6
 
1.3%
Other values (117) 211
45.2%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
99.2%
ASCII 4
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 96
20.6%
국 96
20.6%
리 13
 
2.8%
온 10
 
2.1%
한 8
 
1.7%
누 8
 
1.7%
동 7
 
1.5%
산 6
 
1.3%
하 6
 
1.3%
나 6
 
1.3%
Other values (117) 211
45.2%
ASCII
ValueCountFrequency (%)
4
100.0%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.779988
Minimum35.655548
Maximum35.875512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-03-23T07:15:07.654737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.655548
5-th percentile35.686467
Q135.694796
median35.799316
Q335.857803
95-th percentile35.873336
Maximum35.875512
Range0.21996451
Interquartile range (IQR)0.16300702

Descriptive statistics

Standard deviation0.071555035
Coefficient of variation (CV)0.0019998619
Kurtosis-1.407457
Mean35.779988
Median Absolute Deviation (MAD)0.064550605
Skewness-0.2121539
Sum3434.8789
Variance0.0051201231
MonotonicityNot monotonic
2024-03-23T07:15:08.184672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.86869819 1
 
1.0%
35.69097353 1
 
1.0%
35.72909702 1
 
1.0%
35.7211404 1
 
1.0%
35.69336275 1
 
1.0%
35.80337221 1
 
1.0%
35.85715853 1
 
1.0%
35.80190272 1
 
1.0%
35.72705652 1
 
1.0%
35.72908317 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
35.65554773 1
1.0%
35.65555217 1
1.0%
35.65555317 1
1.0%
35.6555863 1
1.0%
35.67294631 1
1.0%
35.69097353 1
1.0%
35.69130439 1
1.0%
35.69171154 1
1.0%
35.69183706 1
1.0%
35.69261863 1
1.0%
ValueCountFrequency (%)
35.87551224 1
1.0%
35.87513733 1
1.0%
35.87488488 1
1.0%
35.87438409 1
1.0%
35.87383637 1
1.0%
35.87316877 1
1.0%
35.87167264 1
1.0%
35.86871004 1
1.0%
35.86869819 1
1.0%
35.86821036 1
1.0%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.47056
Minimum128.41696
Maximum128.62355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-03-23T07:15:08.648805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.41696
5-th percentile128.43595
Q1128.44869
median128.46385
Q3128.49509
95-th percentile128.50964
Maximum128.62355
Range0.2065906
Interquartile range (IQR)0.046399925

Descriptive statistics

Standard deviation0.032593158
Coefficient of variation (CV)0.00025370138
Kurtosis8.3105792
Mean128.47056
Median Absolute Deviation (MAD)0.0185396
Skewness2.07465
Sum12333.174
Variance0.001062314
MonotonicityNot monotonic
2024-03-23T07:15:09.076384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4565055 1
 
1.0%
128.4535871 1
 
1.0%
128.4449605 1
 
1.0%
128.4539686 1
 
1.0%
128.4462087 1
 
1.0%
128.4988059 1
 
1.0%
128.4665478 1
 
1.0%
128.5095954 1
 
1.0%
128.4483095 1
 
1.0%
128.4462648 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
128.4169628 1
1.0%
128.4179899 1
1.0%
128.4182771 1
1.0%
128.4188295 1
1.0%
128.4210021 1
1.0%
128.4409347 1
1.0%
128.4414873 1
1.0%
128.4417839 1
1.0%
128.4424154 1
1.0%
128.4429773 1
1.0%
ValueCountFrequency (%)
128.6235534 1
1.0%
128.6223611 1
1.0%
128.5126891 1
1.0%
128.5122343 1
1.0%
128.509762 1
1.0%
128.5095954 1
1.0%
128.5016792 1
1.0%
128.5001079 1
1.0%
128.4994192 1
1.0%
128.4993271 1
1.0%

데이터가기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-03-14
96 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-14
2nd row2024-03-14
3rd row2024-03-14
4th row2024-03-14
5th row2024-03-14

Common Values

ValueCountFrequency (%)
2024-03-14 96
100.0%

Length

2024-03-23T07:15:09.584365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:15:09.952398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-14 96
100.0%

Interactions

2024-03-23T07:14:55.561222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:14:54.799571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:14:55.866136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:14:55.209597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:15:10.275288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호인허가일자도로명주소사업장명위도경도
관리번호1.0001.0001.0001.0001.0001.000
인허가일자1.0001.0001.0001.0000.9830.972
도로명주소1.0001.0001.0001.0001.0001.000
사업장명1.0001.0001.0001.0001.0001.000
위도1.0000.9831.0001.0001.0000.778
경도1.0000.9721.0001.0000.7781.000
2024-03-23T07:15:10.572822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.579
경도0.5791.000

Missing values

2024-03-23T07:14:56.244802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:14:56.835025image/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

관리번호인허가일자영업상태구분코드영업상태명도로명주소사업장명위도경도데이터가기준일자
0PHMD1-2023-3480012-08-40-000072023-09-041영업대구광역시 달성군 다사읍 다사역로 60, 상가동 106호 (다사 e-편한세상)다사진약국35.868698128.4565052024-03-14
1PHMD1-2023-3480012-08-40-000062023-08-011영업대구광역시 달성군 현풍읍 테크노상업로2길 8-7, 102호호호약국35.691304128.4542852024-03-14
2PHMD1-2023-3480012-08-40-000052023-07-041영업대구광역시 달성군 다사읍 다사역로 39, 101호시온동산약국35.865585128.457442024-03-14
3PHMD1-2023-3480012-08-40-000042023-06-131영업대구광역시 달성군 현풍읍 테크노상업로 62, 118호아빠곰약국35.693198128.456342024-03-14
4PHMD1-2023-3480012-08-40-000032023-05-251영업대구광역시 달성군 화원읍 비슬로 2463, 102호설화약국35.798117128.4878972024-03-14
5PHMD1-2023-3480012-08-40-000022023-05-091영업대구광역시 달성군 현풍읍 테크노상업로 52, 105호타워약국35.693092128.4557982024-03-14
6PHMD1-2022-3480012-08-40-000042022-12-081영업대구광역시 달성군 다사읍 매곡로12길 31나은약국35.865013128.4560972024-03-14
7PHMD1-2022-3480012-08-40-000032022-03-081영업대구광역시 달성군 다사읍 왕선로 12, 1층김하나약국35.860359128.4639542024-03-14
8PHMD1-2022-3480012-08-40-000022022-01-171영업대구광역시 달성군 구지면 과학마을로 50, 동일빌딩 1층 103호정성약국35.655586128.4188292024-03-14
9PHMD1-2020-3480012-08-40-000062020-12-211영업대구광역시 달성군 유가읍 테크노상업로 110, 107호해맑은약국35.693233128.4615552024-03-14
관리번호인허가일자영업상태구분코드영업상태명도로명주소사업장명위도경도데이터가기준일자
86PHMD1-2001-3480012-08-40-000022001-03-101영업대구광역시 달성군 화원읍 명곡로 14신세계약국35.798444128.496122024-03-14
87PHMD1-2001-3480012-08-40-000012001-02-071영업대구광역시 달성군 다사읍 달구벌대로 889대실역동산약국35.857376128.4662722024-03-14
88PHMD1-2000-3480012-08-40-000032000-08-281영업대구광역시 달성군 화원읍 명곡로 10, 106호, 204호 (명곡미래빌2단지 상가)명곡서약국35.796978128.4952372024-03-14
89PHMD1-2000-3480012-08-40-000022000-08-221영업대구광역시 달성군 화원읍 사문진로 441한영약국35.804047128.4969842024-03-14
90PHMD1-1999-3480012-08-40-000011999-10-011영업대구광역시 달성군 다사읍 달구벌대로 805삼성옵티마약국35.86272128.4594832024-03-14
91PHMD1-1998-3480012-08-40-000011998-07-281영업대구광역시 달성군 다사읍 달구벌대로 800-2온누리성주약국35.862119128.4587272024-03-14
92PHMD1-1994-3480012-08-40-000011994-11-041영업대구광역시 달성군 논공읍 비슬로 1787논공약국35.774386128.4210022024-03-14
93PHMD1-1992-3480012-08-40-000011992-05-011영업대구광역시 달성군 현풍읍 현풍로 48무광온누리약국35.695469128.4446292024-03-14
94PHMD1-1978-3480012-08-40-000021978-05-071영업대구광역시 달성군 화원읍 비슬로512길 59신광약국35.801577128.4991492024-03-14
95PHMD1-1976-3480012-08-40-000011976-05-151영업대구광역시 달성군 현풍읍 현풍로8길 19시장약국35.694447128.4429772024-03-14