Overview

Dataset statistics

Number of variables8
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory68.9 B

Variable types

Numeric3
Text3
Categorical2

Dataset

Description경기도 구리시 지역내에 위차한 모든 의원규모의 한의원 병원에 대한 현황정보(의료기관명. 주소 .전화번호 등)를 제공합니다.
URLhttps://www.data.go.kr/data/3038697/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:07:59.721470
Analysis finished2023-12-11 23:08:01.014690
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-12T08:08:01.080040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.45
Q118.25
median35.5
Q352.75
95-th percentile66.55
Maximum70
Range69
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.351085
Coefficient of variation (CV)0.57327
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)17.5
Skewness0
Sum2485
Variance414.16667
MonotonicityStrictly increasing
2023-12-12T08:08:01.194404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
46 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
45 1
 
1.4%
54 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%

의료기관명
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T08:08:01.401421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.8857143
Min length4

Characters and Unicode

Total characters412
Distinct characters118
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

Unique70 ?
Unique (%)100.0%

Sample

1st row청담한의원
2nd row광덕안정한의원
3rd row거북당한의원
4th row구리위담한의원
5th row화인스한의원
ValueCountFrequency (%)
청담한의원 1
 
1.4%
경희맥한의원 1
 
1.4%
행복보감한의원 1
 
1.4%
명인한의원 1
 
1.4%
경희그린한의원 1
 
1.4%
신선한의원 1
 
1.4%
예진한의원 1
 
1.4%
고운한의원 1
 
1.4%
구리경희한의원 1
 
1.4%
일오한의원 1
 
1.4%
Other values (61) 61
85.9%
2023-12-12T08:08:01.786836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 73
17.7%
원 73
17.7%
의 71
17.2%
경 14
 
3.4%
희 12
 
2.9%
동 5
 
1.2%
대 5
 
1.2%
구 4
 
1.0%
부 4
 
1.0%
인 4
 
1.0%
Other values (108) 147
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
99.0%
Decimal Number 3
 
0.7%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 73
17.9%
원 73
17.9%
의 71
17.4%
경 14
 
3.4%
희 12
 
2.9%
동 5
 
1.2%
대 5
 
1.2%
구 4
 
1.0%
부 4
 
1.0%
인 4
 
1.0%
Other values (104) 143
35.0%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
99.0%
Common 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 73
17.9%
원 73
17.9%
의 71
17.4%
경 14
 
3.4%
희 12
 
2.9%
동 5
 
1.2%
대 5
 
1.2%
구 4
 
1.0%
부 4
 
1.0%
인 4
 
1.0%
Other values (104) 143
35.0%
Common
ValueCountFrequency (%)
3 1
25.0%
6 1
25.0%
5 1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
99.0%
ASCII 4
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 73
17.9%
원 73
17.9%
의 71
17.4%
경 14
 
3.4%
희 12
 
2.9%
동 5
 
1.2%
대 5
 
1.2%
구 4
 
1.0%
부 4
 
1.0%
인 4
 
1.0%
Other values (104) 143
35.0%
ASCII
ValueCountFrequency (%)
3 1
25.0%
6 1
25.0%
5 1
25.0%
1
25.0%

의료기관주소(도로명)
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T08:08:02.110623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length37
Mean length31.342857
Min length20

Characters and Unicode

Total characters2194
Distinct characters137
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

Unique70 ?
Unique (%)100.0%

Sample

1st row경기도 구리시 건원대로34번길 25, 신아월드코아 308호 (인창동)
2nd row경기도 구리시 경춘로 239, 리맥스빌딩 인창동 3층 (인창동)
3rd row경기도 구리시 장자대로86번길 14-6, 거성빌딩 2층 (수택동)
4th row경기도 구리시 건원대로 67, 한진빌딩 2층 (인창동)
5th row경기도 구리시 산마루로 24, 신성타워 4층 (갈매동)
ValueCountFrequency (%)
경기도 70
 
15.2%
구리시 70
 
15.2%
인창동 30
 
6.5%
수택동 27
 
5.9%
2층 17
 
3.7%
경춘로 14
 
3.0%
3층 9
 
2.0%
검배로 7
 
1.5%
건원대로 7
 
1.5%
이문안로 7
 
1.5%
Other values (147) 202
43.9%
2023-12-12T08:08:02.485895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
390
 
17.8%
, 93
 
4.2%
동 87
 
4.0%
경 86
 
3.9%
구 78
 
3.6%
리 73
 
3.3%
도 72
 
3.3%
시 71
 
3.2%
로 71
 
3.2%
) 70
 
3.2%
Other values (127) 1103
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1220
55.6%
Space Separator 390
 
17.8%
Decimal Number 342
 
15.6%
Other Punctuation 93
 
4.2%
Close Punctuation 70
 
3.2%
Open Punctuation 70
 
3.2%
Dash Punctuation 6
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 87
 
7.1%
경 86
 
7.0%
구 78
 
6.4%
리 73
 
6.0%
도 72
 
5.9%
시 71
 
5.8%
로 71
 
5.8%
기 70
 
5.7%
층 34
 
2.8%
호 32
 
2.6%
Other values (109) 546
44.8%
Decimal Number
ValueCountFrequency (%)
2 63
18.4%
3 56
16.4%
1 42
12.3%
0 38
11.1%
4 31
9.1%
5 27
7.9%
8 26
7.6%
7 24
 
7.0%
6 22
 
6.4%
9 13
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
S 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
390
100.0%
Other Punctuation
ValueCountFrequency (%)
, 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1220
55.6%
Common 971
44.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 87
 
7.1%
경 86
 
7.0%
구 78
 
6.4%
리 73
 
6.0%
도 72
 
5.9%
시 71
 
5.8%
로 71
 
5.8%
기 70
 
5.7%
층 34
 
2.8%
호 32
 
2.6%
Other values (109) 546
44.8%
Common
ValueCountFrequency (%)
390
40.2%
, 93
 
9.6%
) 70
 
7.2%
( 70
 
7.2%
2 63
 
6.5%
3 56
 
5.8%
1 42
 
4.3%
0 38
 
3.9%
4 31
 
3.2%
5 27
 
2.8%
Other values (5) 91
 
9.4%
Latin
ValueCountFrequency (%)
C 1
33.3%
S 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1220
55.6%
ASCII 974
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
390
40.0%
, 93
 
9.5%
) 70
 
7.2%
( 70
 
7.2%
2 63
 
6.5%
3 56
 
5.7%
1 42
 
4.3%
0 38
 
3.9%
4 31
 
3.2%
5 27
 
2.8%
Other values (8) 94
 
9.7%
Hangul
ValueCountFrequency (%)
동 87
 
7.1%
경 86
 
7.0%
구 78
 
6.4%
리 73
 
6.0%
도 72
 
5.9%
시 71
 
5.8%
로 71
 
5.8%
기 70
 
5.7%
층 34
 
2.8%
호 32
 
2.6%
Other values (109) 546
44.8%

위도
Real number (ℝ)

Distinct63
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.60216
Minimum37.563834
Maximum37.633818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-12T08:08:02.600791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.563834
5-th percentile37.587244
Q137.594334
median37.601085
Q337.607143
95-th percentile37.631874
Maximum37.633818
Range0.06998331
Interquartile range (IQR)0.01280894

Descriptive statistics

Standard deviation0.012390265
Coefficient of variation (CV)0.0003295094
Kurtosis2.0244147
Mean37.60216
Median Absolute Deviation (MAD)0.006516165
Skewness0.70424615
Sum2632.1512
Variance0.00015351867
MonotonicityNot monotonic
2023-12-12T08:08:02.923061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.60222827 4
 
5.7%
37.60208174 3
 
4.3%
37.58731499 2
 
2.9%
37.59272429 2
 
2.9%
37.6045797 1
 
1.4%
37.60442641 1
 
1.4%
37.60739651 1
 
1.4%
37.59204889 1
 
1.4%
37.60029848 1
 
1.4%
37.59961953 1
 
1.4%
Other values (53) 53
75.7%
ValueCountFrequency (%)
37.5638342 1
1.4%
37.58664167 1
1.4%
37.5870648 1
1.4%
37.58718588 1
1.4%
37.58731499 2
2.9%
37.59071256 1
1.4%
37.59095537 1
1.4%
37.59178881 1
1.4%
37.59191182 1
1.4%
37.59204889 1
1.4%
ValueCountFrequency (%)
37.63381751 1
1.4%
37.63274013 1
1.4%
37.6323149 1
1.4%
37.63206136 1
1.4%
37.63164472 1
1.4%
37.63130602 1
1.4%
37.61971201 1
1.4%
37.61592568 1
1.4%
37.61314267 1
1.4%
37.60989063 1
1.4%

경도
Real number (ℝ)

Distinct63
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.13792
Minimum127.11485
Maximum127.15099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-12T08:08:03.034170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.11485
5-th percentile127.11732
Q1127.13763
median127.1399
Q3127.1427
95-th percentile127.14535
Maximum127.15099
Range0.0361399
Interquartile range (IQR)0.005067875

Descriptive statistics

Standard deviation0.0079601095
Coefficient of variation (CV)6.2610035 × 10-5
Kurtosis2.5550708
Mean127.13792
Median Absolute Deviation (MAD)0.00280085
Skewness-1.7314578
Sum8899.6544
Variance6.3363344 × 10-5
MonotonicityNot monotonic
2023-12-12T08:08:03.148632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1430264 4
 
5.7%
127.1426997 3
 
4.3%
127.1391775 2
 
2.9%
127.1395909 2
 
2.9%
127.1417424 1
 
1.4%
127.140487 1
 
1.4%
127.138788 1
 
1.4%
127.139644 1
 
1.4%
127.1341585 1
 
1.4%
127.1423768 1
 
1.4%
Other values (53) 53
75.7%
ValueCountFrequency (%)
127.1148505 1
1.4%
127.11625 1
1.4%
127.1169598 1
1.4%
127.1172494 1
1.4%
127.1174164 1
1.4%
127.1176493 1
1.4%
127.118339 1
1.4%
127.1295292 1
1.4%
127.1327477 1
1.4%
127.1330013 1
1.4%
ValueCountFrequency (%)
127.1509904 1
1.4%
127.1470586 1
1.4%
127.1466544 1
1.4%
127.1454458 1
1.4%
127.1452437 1
1.4%
127.145202 1
1.4%
127.1449817 1
1.4%
127.144478 1
1.4%
127.1437076 1
1.4%
127.1434184 1
1.4%

의료기관전화번호
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T08:08:03.365210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.985714
Min length11

Characters and Unicode

Total characters839
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

Unique70 ?
Unique (%)100.0%

Sample

1st row031-556-5595
2nd row031-522-5975
3rd row031-562-1107
4th row031-514-8275
5th row031-529-0701
ValueCountFrequency (%)
031-556-5595 1
 
1.4%
031-562-9878 1
 
1.4%
031-562-1075 1
 
1.4%
031-568-8887 1
 
1.4%
031-562-7582 1
 
1.4%
031-564-1275 1
 
1.4%
031-555-7510 1
 
1.4%
031-556-1010 1
 
1.4%
031-555-5780 1
 
1.4%
031-554-1155 1
 
1.4%
Other values (60) 60
85.7%
2023-12-12T08:08:03.683621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 165
19.7%
- 140
16.7%
0 112
13.3%
1 110
13.1%
3 91
10.8%
7 50
 
6.0%
6 42
 
5.0%
8 40
 
4.8%
2 38
 
4.5%
4 27
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 699
83.3%
Dash Punctuation 140
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 165
23.6%
0 112
16.0%
1 110
15.7%
3 91
13.0%
7 50
 
7.2%
6 42
 
6.0%
8 40
 
5.7%
2 38
 
5.4%
4 27
 
3.9%
9 24
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 165
19.7%
- 140
16.7%
0 112
13.3%
1 110
13.1%
3 91
10.8%
7 50
 
6.0%
6 42
 
5.0%
8 40
 
4.8%
2 38
 
4.5%
4 27
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 165
19.7%
- 140
16.7%
0 112
13.3%
1 110
13.1%
3 91
10.8%
7 50
 
6.0%
6 42
 
5.0%
8 40
 
4.8%
2 38
 
4.5%
4 27
 
3.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
경기도 구리시청
70 

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 70
100.0%

Length

2023-12-12T08:08:03.797382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:08:03.882929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 70
50.0%
구리시청 70
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-05-17
70 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-17
2nd row2023-05-17
3rd row2023-05-17
4th row2023-05-17
5th row2023-05-17

Common Values

ValueCountFrequency (%)
2023-05-17 70
100.0%

Length

2023-12-12T08:08:03.969206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:08:04.050571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-17 70
100.0%

Interactions

2023-12-12T08:08:00.530939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:00.013821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:00.284030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:00.616399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:00.102834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:00.366998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:00.721847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:00.190019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:08:00.448054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:08:04.103685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명의료기관주소(도로명)위도경도의료기관전화번호
순번1.0001.0001.0000.3560.3441.000
의료기관명1.0001.0001.0001.0001.0001.000
의료기관주소(도로명)1.0001.0001.0001.0001.0001.000
위도0.3561.0001.0001.0000.8401.000
경도0.3441.0001.0000.8401.0001.000
의료기관전화번호1.0001.0001.0001.0001.0001.000
2023-12-12T08:08:04.187375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.000-0.2040.238
위도-0.2041.000-0.235
경도0.238-0.2351.000

Missing values

2023-12-12T08:08:00.850185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:08:00.967576image/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

순번의료기관명의료기관주소(도로명)위도경도의료기관전화번호관리기관명데이터기준일자
01청담한의원경기도 구리시 건원대로34번길 25, 신아월드코아 308호 (인창동)37.60458127.141742031-556-5595경기도 구리시청2023-05-17
12광덕안정한의원경기도 구리시 경춘로 239, 리맥스빌딩 인창동 3층 (인창동)37.601614127.141629031-522-5975경기도 구리시청2023-05-17
23거북당한의원경기도 구리시 장자대로86번길 14-6, 거성빌딩 2층 (수택동)37.587315127.139178031-562-1107경기도 구리시청2023-05-17
34구리위담한의원경기도 구리시 건원대로 67, 한진빌딩 2층 (인창동)37.606381127.139139031-514-8275경기도 구리시청2023-05-17
45화인스한의원경기도 구리시 산마루로 24, 신성타워 4층 (갈매동)37.631306127.11625031-529-0701경기도 구리시청2023-05-17
56예담한의원경기도 구리시 안골로85번길 29-8, 2층 (수택동)37.598846127.140019031-556-2560경기도 구리시청2023-05-17
67생생부부한의원경기도 구리시 안골로57번길 36-18, 동림빌딩 2층 (수택동)37.598614127.137915031-565-1031경기도 구리시청2023-05-17
78온나래 한의원경기도 구리시 건원대로 83, 현산빌딩 3,4층 (인창동)37.608277127.138483031-523-3145경기도 구리시청2023-05-17
89365차차한의원경기도 구리시 검배로 37, 2층 (수택동)37.598124127.143708031-551-5990경기도 구리시청2023-05-17
910오케이한의원경기도 구리시 검배로60번길 4, 201호 (수택동)37.596629127.144982031-556-0900경기도 구리시청2023-05-17
순번의료기관명의료기관주소(도로명)위도경도의료기관전화번호관리기관명데이터기준일자
6061인창한의원경기도 구리시 건원대로76번길 34, 삼보아파트단지내상가 305호 (인창동)37.607805127.140494031-562-7575경기도 구리시청2023-05-17
6162박태석한의원경기도 구리시 이문안로 86 (수택동)37.591789127.141051031-563-8855경기도 구리시청2023-05-17
6263박춘서한의원경기도 구리시 경춘로 223, 403호 (인창동, 명동빌딩)37.600892127.140188031-562-0459경기도 구리시청2023-05-17
6364삼잘한의원경기도 구리시 체육관로 28, 303호 (수택동, 고덕프라자)37.587065127.138229031-555-3555경기도 구리시청2023-05-17
6465한퓨어서울한의원경기도 구리시 건원대로 3, 흥화브라운오피스텔 3층 8호 (인창동)37.601577127.140841031-563-2255경기도 구리시청2023-05-17
6566백세한의원경기도 구리시 검배로 82 (수택동)37.595238127.147059031-568-0166경기도 구리시청2023-05-17
6667경동한의원경기도 구리시 이문안로 138, 3층 (토평동, 우신빌딩)37.590955127.146654031-554-0986경기도 구리시청2023-05-17
6768동우당한의원경기도 구리시 검배로 36, 3층 (수택동, 아이프랜드빌딩)37.597994127.143052031-553-7979경기도 구리시청2023-05-17
6869경희한의원경기도 구리시 안골로 102 (수택동)37.597397127.142731031-563-8475경기도 구리시청2023-05-17
6970현대한의원경기도 구리시 안골로57번길 36-21 (수택동)37.598963127.137537031-563-2415경기도 구리시청2023-05-17