Overview

Dataset statistics

Number of variables8
Number of observations174
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory67.8 B

Variable types

Numeric3
Text3
Categorical1
DateTime1

Dataset

Description내과, 피부과, 외과 등 경기도 구리시 지역내에 위치한 의원 규모의 병원 현황(의료기관명. 주소 .전화번호 등)을 제공합니다.
URLhttps://www.data.go.kr/data/3038695/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:02:03.480962
Analysis finished2023-12-11 23:02:05.200380
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct174
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.5
Minimum1
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T08:02:05.296483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.65
Q144.25
median87.5
Q3130.75
95-th percentile165.35
Maximum174
Range173
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation50.373604
Coefficient of variation (CV)0.57569833
Kurtosis-1.2
Mean87.5
Median Absolute Deviation (MAD)43.5
Skewness0
Sum15225
Variance2537.5
MonotonicityStrictly increasing
2023-12-12T08:02:05.477592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
121 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
Other values (164) 164
94.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%

의료기관명
Text

Distinct173
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T08:02:05.761482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length8.2183908
Min length3

Characters and Unicode

Total characters1430
Distinct characters234
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)98.9%

Sample

1st row아카시아신경외과의원
2nd row김곤의원
3rd row현대의원
4th row홍내과의원
5th row최준호비뇨기과의원
ValueCountFrequency (%)
박용천정신건강의학과의원 2
 
1.1%
포에버의원 1
 
0.6%
연세편한내과의원 1
 
0.6%
이과수비뇨기과의원 1
 
0.6%
서울비뇨기과의원 1
 
0.6%
구리강남밝은안과의원 1
 
0.6%
애플산부인과의원 1
 
0.6%
예원정신건강의학과의원 1
 
0.6%
드림키즈소아청소년과의원 1
 
0.6%
서울이비인후과의원 1
 
0.6%
Other values (165) 165
93.8%
2023-12-12T08:02:06.222768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 183
 
12.8%
원 177
 
12.4%
과 126
 
8.8%
이 35
 
2.4%
정 28
 
2.0%
소 27
 
1.9%
내 27
 
1.9%
외 26
 
1.8%
인 23
 
1.6%
리 22
 
1.5%
Other values (224) 756
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1416
99.0%
Decimal Number 6
 
0.4%
Uppercase Letter 4
 
0.3%
Space Separator 2
 
0.1%
Math Symbol 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 183
 
12.9%
원 177
 
12.5%
과 126
 
8.9%
이 35
 
2.5%
정 28
 
2.0%
소 27
 
1.9%
내 27
 
1.9%
외 26
 
1.8%
인 23
 
1.6%
리 22
 
1.6%
Other values (214) 742
52.4%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
E 1
25.0%
C 1
25.0%
M 1
25.0%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
6 2
33.3%
3 2
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1416
99.0%
Common 9
 
0.6%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 183
 
12.9%
원 177
 
12.5%
과 126
 
8.9%
이 35
 
2.5%
정 28
 
2.0%
소 27
 
1.9%
내 27
 
1.9%
외 26
 
1.8%
인 23
 
1.6%
리 22
 
1.6%
Other values (214) 742
52.4%
Common
ValueCountFrequency (%)
5 2
22.2%
6 2
22.2%
3 2
22.2%
2
22.2%
+ 1
11.1%
Latin
ValueCountFrequency (%)
W 1
20.0%
E 1
20.0%
e 1
20.0%
C 1
20.0%
M 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1416
99.0%
ASCII 14
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 183
 
12.9%
원 177
 
12.5%
과 126
 
8.9%
이 35
 
2.5%
정 28
 
2.0%
소 27
 
1.9%
내 27
 
1.9%
외 26
 
1.8%
인 23
 
1.6%
리 22
 
1.6%
Other values (214) 742
52.4%
ASCII
ValueCountFrequency (%)
5 2
14.3%
6 2
14.3%
3 2
14.3%
2
14.3%
W 1
7.1%
E 1
7.1%
+ 1
7.1%
e 1
7.1%
C 1
7.1%
M 1
7.1%

의료기관주소(도로명)
Text

Distinct170
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T08:02:06.619843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length39
Mean length31.965517
Min length16

Characters and Unicode

Total characters5562
Distinct characters183
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

Unique166 ?
Unique (%)95.4%

Sample

1st row경기도 구리시 이문안로 140 (토평동, 아카시아신경외과)
2nd row경기도 구리시 건원대로 56, 202호 (인창동, 삼보아파트상가)
3rd row경기도 구리시 체육관로 166 (수택동)
4th row경기도 구리시 경춘로 220, 4층 (교문동)
5th row경기도 구리시 경춘로 188 (수택동)
ValueCountFrequency (%)
경기도 174
 
15.2%
구리시 174
 
15.2%
수택동 67
 
5.8%
인창동 60
 
5.2%
경춘로 55
 
4.8%
2층 26
 
2.3%
검배로 21
 
1.8%
이문안로 20
 
1.7%
교문동 18
 
1.6%
4층 16
 
1.4%
Other values (250) 515
44.9%
2023-12-12T08:02:07.094665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
972
 
17.5%
, 267
 
4.8%
경 235
 
4.2%
동 199
 
3.6%
구 192
 
3.5%
리 192
 
3.5%
시 177
 
3.2%
로 176
 
3.2%
도 174
 
3.1%
기 174
 
3.1%
Other values (173) 2804
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3082
55.4%
Space Separator 972
 
17.5%
Decimal Number 874
 
15.7%
Other Punctuation 267
 
4.8%
Close Punctuation 172
 
3.1%
Open Punctuation 172
 
3.1%
Math Symbol 16
 
0.3%
Uppercase Letter 4
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 235
 
7.6%
동 199
 
6.5%
구 192
 
6.2%
리 192
 
6.2%
시 177
 
5.7%
로 176
 
5.7%
도 174
 
5.6%
기 174
 
5.6%
층 94
 
3.0%
호 83
 
2.7%
Other values (153) 1386
45.0%
Decimal Number
ValueCountFrequency (%)
2 161
18.4%
3 126
14.4%
0 123
14.1%
4 104
11.9%
1 96
11.0%
5 67
7.7%
6 55
 
6.3%
7 50
 
5.7%
9 48
 
5.5%
8 44
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
D 1
25.0%
L 1
25.0%
G 1
25.0%
Space Separator
ValueCountFrequency (%)
972
100.0%
Other Punctuation
ValueCountFrequency (%)
, 267
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3082
55.4%
Common 2476
44.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 235
 
7.6%
동 199
 
6.5%
구 192
 
6.2%
리 192
 
6.2%
시 177
 
5.7%
로 176
 
5.7%
도 174
 
5.6%
기 174
 
5.6%
층 94
 
3.0%
호 83
 
2.7%
Other values (153) 1386
45.0%
Common
ValueCountFrequency (%)
972
39.3%
, 267
 
10.8%
) 172
 
6.9%
( 172
 
6.9%
2 161
 
6.5%
3 126
 
5.1%
0 123
 
5.0%
4 104
 
4.2%
1 96
 
3.9%
5 67
 
2.7%
Other values (6) 216
 
8.7%
Latin
ValueCountFrequency (%)
C 1
25.0%
D 1
25.0%
L 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3082
55.4%
ASCII 2480
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
972
39.2%
, 267
 
10.8%
) 172
 
6.9%
( 172
 
6.9%
2 161
 
6.5%
3 126
 
5.1%
0 123
 
5.0%
4 104
 
4.2%
1 96
 
3.9%
5 67
 
2.7%
Other values (10) 220
 
8.9%
Hangul
ValueCountFrequency (%)
경 235
 
7.6%
동 199
 
6.5%
구 192
 
6.2%
리 192
 
6.2%
시 177
 
5.7%
로 176
 
5.7%
도 174
 
5.6%
기 174
 
5.6%
층 94
 
3.0%
호 83
 
2.7%
Other values (153) 1386
45.0%

위도
Real number (ℝ)

Distinct98
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.60242
Minimum37.587065
Maximum37.636601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T08:02:07.548227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.587065
5-th percentile37.587658
Q137.596751
median37.600892
Q337.60383
95-th percentile37.632464
Maximum37.636601
Range0.04953572
Interquartile range (IQR)0.007078925

Descriptive statistics

Standard deviation0.011416623
Coefficient of variation (CV)0.00030361405
Kurtosis2.5242999
Mean37.60242
Median Absolute Deviation (MAD)0.003679915
Skewness1.6238416
Sum6542.821
Variance0.00013033927
MonotonicityNot monotonic
2023-12-12T08:02:07.721070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.60161443 11
 
6.3%
37.60222827 8
 
4.6%
37.60208174 6
 
3.4%
37.60089213 5
 
2.9%
37.63660052 4
 
2.3%
37.59192401 4
 
2.3%
37.58726466 4
 
2.3%
37.60029848 4
 
2.3%
37.6009961 4
 
2.3%
37.63274013 4
 
2.3%
Other values (88) 120
69.0%
ValueCountFrequency (%)
37.5870648 2
1.1%
37.58718588 2
1.1%
37.58726466 4
2.3%
37.58731499 1
 
0.6%
37.58784223 1
 
0.6%
37.59086018 1
 
0.6%
37.59090319 1
 
0.6%
37.59111879 2
1.1%
37.59115296 1
 
0.6%
37.59125981 1
 
0.6%
ValueCountFrequency (%)
37.63660052 4
2.3%
37.63381751 1
 
0.6%
37.63274013 4
2.3%
37.6323149 2
1.1%
37.63206136 2
1.1%
37.63130602 1
 
0.6%
37.63050202 1
 
0.6%
37.62597406 2
1.1%
37.61314267 1
 
0.6%
37.61053047 1
 
0.6%

경도
Real number (ℝ)

Distinct98
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.13773
Minimum127.11174
Maximum127.15099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T08:02:07.859030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.11174
5-th percentile127.11765
Q1127.13513
median127.14019
Q3127.14194
95-th percentile127.14559
Maximum127.15099
Range0.0392542
Interquartile range (IQR)0.00680995

Descriptive statistics

Standard deviation0.0077986996
Coefficient of variation (CV)6.1340562 × 10-5
Kurtosis2.397251
Mean127.13773
Median Absolute Deviation (MAD)0.0025119
Skewness-1.6413957
Sum22121.964
Variance6.0819715 × 10-5
MonotonicityNot monotonic
2023-12-12T08:02:08.091532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1416291 11
 
6.3%
127.1430264 8
 
4.6%
127.1426997 6
 
3.4%
127.1401878 5
 
2.9%
127.1218073 4
 
2.3%
127.138581 4
 
2.3%
127.1384534 4
 
2.3%
127.1341585 4
 
2.3%
127.1334483 4
 
2.3%
127.1176493 4
 
2.3%
Other values (88) 120
69.0%
ValueCountFrequency (%)
127.1117362 2
1.1%
127.11625 1
 
0.6%
127.1171772 1
 
0.6%
127.1172494 2
1.1%
127.1174164 2
1.1%
127.1176493 4
2.3%
127.118339 1
 
0.6%
127.1186264 1
 
0.6%
127.1218073 4
2.3%
127.1300741 1
 
0.6%
ValueCountFrequency (%)
127.1509904 1
0.6%
127.1508691 1
0.6%
127.1493891 1
0.6%
127.1491623 1
0.6%
127.147199 1
0.6%
127.1471432 1
0.6%
127.1469155 1
0.6%
127.1467507 1
0.6%
127.1456258 1
0.6%
127.1455768 2
1.1%

의료기관전화번호
Text

Distinct172
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T08:02:08.408858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.971264
Min length9

Characters and Unicode

Total characters2083
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

Unique170 ?
Unique (%)97.7%

Sample

1st row031-569-7542
2nd row031-557-2824
3rd row031-563-3706
4th row031-563-4192
5th row031-566-5252
ValueCountFrequency (%)
031-553-8866 2
 
1.1%
031-555-2274 2
 
1.1%
031-563-0075 1
 
0.6%
031-573-7399 1
 
0.6%
031-1833-8352 1
 
0.6%
031-565-1083 1
 
0.6%
031-569-7542 1
 
0.6%
031-575-2462 1
 
0.6%
031-554-9998 1
 
0.6%
031-558-2475 1
 
0.6%
Other values (162) 162
93.1%
2023-12-12T08:02:08.871280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 366
17.6%
- 345
16.6%
0 279
13.4%
3 271
13.0%
1 263
12.6%
7 140
 
6.7%
6 125
 
6.0%
2 92
 
4.4%
8 84
 
4.0%
4 68
 
3.3%
Other values (2) 50
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1737
83.4%
Dash Punctuation 345
 
16.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 366
21.1%
0 279
16.1%
3 271
15.6%
1 263
15.1%
7 140
 
8.1%
6 125
 
7.2%
2 92
 
5.3%
8 84
 
4.8%
4 68
 
3.9%
9 49
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 345
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2083
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 366
17.6%
- 345
16.6%
0 279
13.4%
3 271
13.0%
1 263
12.6%
7 140
 
6.7%
6 125
 
6.0%
2 92
 
4.4%
8 84
 
4.0%
4 68
 
3.3%
Other values (2) 50
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2083
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 366
17.6%
- 345
16.6%
0 279
13.4%
3 271
13.0%
1 263
12.6%
7 140
 
6.7%
6 125
 
6.0%
2 92
 
4.4%
8 84
 
4.0%
4 68
 
3.3%
Other values (2) 50
 
2.4%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
구리시청
174 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구리시청 174
100.0%

Length

2023-12-12T08:02:09.007674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:02:09.121843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구리시청 174
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-06-05 00:00:00
Maximum2023-06-05 00:00:00
2023-12-12T08:02:09.202430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:02:09.310477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:02:04.588757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:02:03.839704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:02:04.167699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:02:04.687761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:02:03.936821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:02:04.364542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:02:04.794326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:02:04.017623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:02:04.473107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:02:09.399274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.4420.428
위도0.4421.0000.915
경도0.4280.9151.000
2023-12-12T08:02:09.512306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.182-0.282
위도0.1821.000-0.311
경도-0.282-0.3111.000

Missing values

2023-12-12T08:02:04.944573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:02:05.126892image/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
01아카시아신경외과의원경기도 구리시 이문안로 140 (토평동, 아카시아신경외과)37.590903127.146916031-569-7542구리시청2023-06-05
12김곤의원경기도 구리시 건원대로 56, 202호 (인창동, 삼보아파트상가)37.607805127.140494031-557-2824구리시청2023-06-05
23현대의원경기도 구리시 체육관로 166 (수택동)37.599459127.136365031-563-3706구리시청2023-06-05
34홍내과의원경기도 구리시 경춘로 220, 4층 (교문동)37.600332127.140002031-563-4192구리시청2023-06-05
45최준호비뇨기과의원경기도 구리시 경춘로 188 (수택동)37.600324127.136355031-566-5252구리시청2023-06-05
56한외과의원경기도 구리시 체육관로 168, 1,2층 (수택동, 한외과)37.599593127.136307031-563-2454구리시청2023-06-05
67신정형외과의원경기도 구리시 검배로 102 (수택동)37.59447127.149162031-563-7454구리시청2023-06-05
78하종섭피부과의원경기도 구리시 검배로6번길 3, 2층 (수택동, 백조빌딩)37.600217127.141464031-563-6087구리시청2023-06-05
89정재숙산부인과의원경기도 구리시 경춘로 253, 6층 (인창동)37.602228127.143026031-562-1580구리시청2023-06-05
910성재소아청소년과의원경기도 구리시 경춘로 223, 303호 (인창동)37.600892127.140188031-563-2319구리시청2023-06-05
순번의료기관명의료기관주소(도로명)위도경도의료기관전화번호관리기관명데이터기준일자
164165투재암요양병원경기도 구리시 아차산로 493, D동 (교문동, 중앙하이츠티움)37.598989127.130074031-528-8899구리시청2023-06-05
165166한양대학교구리병원경기도 구리시 경춘로 153 (교문동)37.601278127.1325051644-9118구리시청2023-06-05
166167리체한방병원경기도 구리시 경춘로 162번길 2637.600473127.1333191661-1110구리시청2023-06-05
167168박용천정신건강의학과의원경기도 구리시 경춘로 170, 계성빌딩 4층 (교문동)37.600298127.134158031-555-2274구리시청2023-06-05
168169아네프의원경기도 구리시 검배로 36, 11층37.602082127.1427031-554-3817구리시청2023-06-05
169170다시봄날의원경기도 구리시 갈매중앙로 91, 2층37.63274127.117649031-360-0330구리시청2023-06-05
170171든든하지항외과의원경기도 구리시 경춘로 239, 6층 (인창동, 두진에코맥스)37.601614127.141629031-516-7747구리시청2023-06-05
171172서울베스트신경과의원경기도 구리시 경춘로 163, 구리노블하임오피스텔 3층 2호 (교문동)37.600996127.133448031-555-7751구리시청2023-06-05
172173성모가정의학과의원경기도 구리시 갈매순환로 202, 로터스타워 2층 201~203호(갈매동)37.636601127.121807031-573-3442구리시청2023-06-05
173174라디앙의원경기도 구리시 건원대로 3, 흥화브라운오피스텔 4층(인창동)37.601418127.140646031-523-3175구리시청2023-06-05