Overview

Dataset statistics

Number of variables8
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory68.3 B

Variable types

Numeric3
Text3
Categorical2

Dataset

Description경기도 구리시 지역내에 위치한 모든 의원규모의 치과 병원에 대한 현황정보(의료기관명. 주소 .전화번호 등)를 제공합니다.
URLhttps://www.data.go.kr/data/3038696/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 관리기관명High correlation
관리기관명 is highly overall correlated with 순번High correlation
관리기관명 is highly imbalanced (76.0%)Imbalance
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:13:11.201889
Analysis finished2023-12-12 16:13:13.441221
Duration2.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51
Minimum1
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T01:13:13.559082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q126
median51
Q376
95-th percentile96
Maximum101
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation29.300171
Coefficient of variation (CV)0.57451315
Kurtosis-1.2
Mean51
Median Absolute Deviation (MAD)25
Skewness0
Sum5151
Variance858.5
MonotonicityStrictly increasing
2023-12-13T01:13:13.791154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%

의료기관명
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T01:13:14.107550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.7425743
Min length5

Characters and Unicode

Total characters782
Distinct characters141
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

Unique101 ?
Unique (%)100.0%

Sample

1st row대성치과의원
2nd row백치과의원
3rd row성모치과의원
4th row위생치과의원
5th row현치과의원
ValueCountFrequency (%)
대성치과의원 1
 
1.0%
고구려치과의원 1
 
1.0%
바른우리치과의원 1
 
1.0%
더원치과교정과치과의원 1
 
1.0%
예닮치과의원 1
 
1.0%
청담이라인치과의원 1
 
1.0%
고운마음치과의원 1
 
1.0%
임플란티스치과의원 1
 
1.0%
일치과의원 1
 
1.0%
아치울치과의원 1
 
1.0%
Other values (94) 94
90.4%
2023-12-13T01:13:14.581627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
13.7%
105
 
13.4%
102
 
13.0%
101
 
12.9%
15
 
1.9%
13
 
1.7%
13
 
1.7%
12
 
1.5%
12
 
1.5%
11
 
1.4%
Other values (131) 291
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 765
97.8%
Lowercase Letter 5
 
0.6%
Decimal Number 5
 
0.6%
Space Separator 3
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
107
 
14.0%
105
 
13.7%
102
 
13.3%
101
 
13.2%
15
 
2.0%
13
 
1.7%
13
 
1.7%
12
 
1.6%
12
 
1.6%
11
 
1.4%
Other values (121) 274
35.8%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
1 2
40.0%
2 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
80.0%
h 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 765
97.8%
Common 11
 
1.4%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
107
 
14.0%
105
 
13.7%
102
 
13.3%
101
 
13.2%
15
 
2.0%
13
 
1.7%
13
 
1.7%
12
 
1.6%
12
 
1.6%
11
 
1.4%
Other values (121) 274
35.8%
Common
ValueCountFrequency (%)
3
27.3%
0 2
18.2%
1 2
18.2%
( 1
 
9.1%
) 1
 
9.1%
2 1
 
9.1%
- 1
 
9.1%
Latin
ValueCountFrequency (%)
e 4
66.7%
h 1
 
16.7%
T 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 765
97.8%
ASCII 17
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
107
 
14.0%
105
 
13.7%
102
 
13.3%
101
 
13.2%
15
 
2.0%
13
 
1.7%
13
 
1.7%
12
 
1.6%
12
 
1.6%
11
 
1.4%
Other values (121) 274
35.8%
ASCII
ValueCountFrequency (%)
e 4
23.5%
3
17.6%
0 2
11.8%
1 2
11.8%
( 1
 
5.9%
) 1
 
5.9%
h 1
 
5.9%
T 1
 
5.9%
2 1
 
5.9%
- 1
 
5.9%
Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T01:13:14.956078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length30.831683
Min length20

Characters and Unicode

Total characters3114
Distinct characters173
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

Unique101 ?
Unique (%)100.0%

Sample

1st row경기도 구리시 경춘로 177 (교문동)
2nd row경기도 구리시 장자대로 78, 3층 (수택동, 연성클리닉)
3rd row경기도 구리시 검배로 30 (수택동)
4th row경기도 구리시 경춘로 152 (교문동)
5th row경기도 구리시 검배로 54 (수택동, 구리농협새터지점)
ValueCountFrequency (%)
경기도 101
 
15.1%
구리시 101
 
15.1%
수택동 44
 
6.6%
인창동 33
 
4.9%
경춘로 24
 
3.6%
2층 22
 
3.3%
3층 18
 
2.7%
검배로 14
 
2.1%
이문안로 11
 
1.6%
4층 10
 
1.5%
Other values (199) 292
43.6%
2023-12-13T01:13:15.521850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
569
 
18.3%
, 147
 
4.7%
128
 
4.1%
116
 
3.7%
112
 
3.6%
106
 
3.4%
103
 
3.3%
101
 
3.2%
101
 
3.2%
100
 
3.2%
Other values (163) 1531
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1719
55.2%
Space Separator 569
 
18.3%
Decimal Number 469
 
15.1%
Other Punctuation 147
 
4.7%
Open Punctuation 98
 
3.1%
Close Punctuation 98
 
3.1%
Lowercase Letter 8
 
0.3%
Uppercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
128
 
7.4%
116
 
6.7%
112
 
6.5%
106
 
6.2%
103
 
6.0%
101
 
5.9%
101
 
5.9%
100
 
5.8%
62
 
3.6%
46
 
2.7%
Other values (135) 744
43.3%
Decimal Number
ValueCountFrequency (%)
2 99
21.1%
3 69
14.7%
0 58
12.4%
1 52
11.1%
4 49
10.4%
5 38
 
8.1%
8 29
 
6.2%
6 28
 
6.0%
7 27
 
5.8%
9 20
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
d 1
12.5%
n 1
12.5%
e 1
12.5%
f 1
12.5%
s 1
12.5%
m 1
12.5%
r 1
12.5%
i 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
I 1
25.0%
K 1
25.0%
N 1
25.0%
Space Separator
ValueCountFrequency (%)
569
100.0%
Other Punctuation
ValueCountFrequency (%)
, 147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1719
55.2%
Common 1383
44.4%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
128
 
7.4%
116
 
6.7%
112
 
6.5%
106
 
6.2%
103
 
6.0%
101
 
5.9%
101
 
5.9%
100
 
5.8%
62
 
3.6%
46
 
2.7%
Other values (135) 744
43.3%
Common
ValueCountFrequency (%)
569
41.1%
, 147
 
10.6%
2 99
 
7.2%
( 98
 
7.1%
) 98
 
7.1%
3 69
 
5.0%
0 58
 
4.2%
1 52
 
3.8%
4 49
 
3.5%
5 38
 
2.7%
Other values (6) 106
 
7.7%
Latin
ValueCountFrequency (%)
d 1
8.3%
n 1
8.3%
e 1
8.3%
f 1
8.3%
s 1
8.3%
m 1
8.3%
C 1
8.3%
I 1
8.3%
r 1
8.3%
i 1
8.3%
Other values (2) 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1719
55.2%
ASCII 1395
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
569
40.8%
, 147
 
10.5%
2 99
 
7.1%
( 98
 
7.0%
) 98
 
7.0%
3 69
 
4.9%
0 58
 
4.2%
1 52
 
3.7%
4 49
 
3.5%
5 38
 
2.7%
Other values (18) 118
 
8.5%
Hangul
ValueCountFrequency (%)
128
 
7.4%
116
 
6.7%
112
 
6.5%
106
 
6.2%
103
 
6.0%
101
 
5.9%
101
 
5.9%
100
 
5.8%
62
 
3.6%
46
 
2.7%
Other values (135) 744
43.3%

위도
Real number (ℝ)

Distinct90
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.602686
Minimum37.576018
Maximum37.636601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T01:13:15.690631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.576018
5-th percentile37.587277
Q137.594032
median37.600473
Q337.606722
95-th percentile37.632315
Maximum37.636601
Range0.06058268
Interquartile range (IQR)0.01268981

Descriptive statistics

Standard deviation0.012739285
Coefficient of variation (CV)0.00033878657
Kurtosis1.2773602
Mean37.602686
Median Absolute Deviation (MAD)0.00644041
Skewness1.2281222
Sum3797.8713
Variance0.00016228938
MonotonicityNot monotonic
2023-12-13T01:13:15.883262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.60208174 4
 
4.0%
37.60222827 4
 
4.0%
37.60161443 3
 
3.0%
37.60111215 2
 
2.0%
37.59217464 2
 
2.0%
37.63381751 2
 
2.0%
37.60672194 1
 
1.0%
37.58730781 1
 
1.0%
37.59813344 1
 
1.0%
37.59192401 1
 
1.0%
Other values (80) 80
79.2%
ValueCountFrequency (%)
37.57601784 1
1.0%
37.58681244 1
1.0%
37.5870648 1
1.0%
37.58718588 1
1.0%
37.58726466 1
1.0%
37.58727747 1
1.0%
37.58729249 1
1.0%
37.58730781 1
1.0%
37.58731499 1
1.0%
37.59029012 1
1.0%
ValueCountFrequency (%)
37.63660052 1
1.0%
37.63600489 1
1.0%
37.63381751 2
2.0%
37.63274013 1
1.0%
37.6323149 1
1.0%
37.63206136 1
1.0%
37.63164472 1
1.0%
37.63112812 1
1.0%
37.63056766 1
1.0%
37.63050202 1
1.0%

경도
Real number (ℝ)

Distinct90
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.1373
Minimum127.11276
Maximum127.15099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T01:13:16.103545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.11276
5-th percentile127.11718
Q1127.13591
median127.13976
Q3127.14218
95-th percentile127.14477
Maximum127.15099
Range0.03823
Interquartile range (IQR)0.0062713

Descriptive statistics

Standard deviation0.0081244515
Coefficient of variation (CV)6.3902973 × 10-5
Kurtosis2.1407022
Mean127.1373
Median Absolute Deviation (MAD)0.0028165
Skewness-1.706113
Sum12840.867
Variance6.6006712 × 10-5
MonotonicityNot monotonic
2023-12-13T01:13:16.285972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1426997 4
 
4.0%
127.1430264 4
 
4.0%
127.1416291 3
 
3.0%
127.1407063 2
 
2.0%
127.1383516 2
 
2.0%
127.118339 2
 
2.0%
127.1389543 1
 
1.0%
127.1381925 1
 
1.0%
127.1437075 1
 
1.0%
127.138581 1
 
1.0%
Other values (80) 80
79.2%
ValueCountFrequency (%)
127.1127604 1
1.0%
127.1162462 1
1.0%
127.1163154 1
1.0%
127.116558 1
1.0%
127.1169598 1
1.0%
127.1171772 1
1.0%
127.1172494 1
1.0%
127.1174164 1
1.0%
127.1176493 1
1.0%
127.118339 2
2.0%
ValueCountFrequency (%)
127.1509904 1
1.0%
127.1470586 1
1.0%
127.1455768 1
1.0%
127.1454458 1
1.0%
127.145202 1
1.0%
127.1447651 1
1.0%
127.1445262 1
1.0%
127.1439323 1
1.0%
127.1437075 1
1.0%
127.1435326 1
1.0%
Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-13T01:13:16.599023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.009901
Min length12

Characters and Unicode

Total characters1213
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

Unique101 ?
Unique (%)100.0%

Sample

1st row031-563-2651
2nd row031-569-0969
3rd row031-569-5520
4th row031-566-5849
5th row031-551-3358
ValueCountFrequency (%)
031-563-2651 1
 
1.0%
031-551-2804 1
 
1.0%
031-528-2872 1
 
1.0%
031-552-5424 1
 
1.0%
031-563-2878 1
 
1.0%
031-553-2828 1
 
1.0%
031-564-8275 1
 
1.0%
031-568-7551 1
 
1.0%
031-553-2900 1
 
1.0%
031-557-2804 1
 
1.0%
Other values (91) 91
90.1%
2023-12-13T01:13:17.025103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 212
17.5%
- 203
16.7%
0 141
11.6%
3 133
11.0%
1 128
10.6%
2 120
9.9%
8 91
7.5%
7 75
 
6.2%
6 64
 
5.3%
4 28
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1010
83.3%
Dash Punctuation 203
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 212
21.0%
0 141
14.0%
3 133
13.2%
1 128
12.7%
2 120
11.9%
8 91
9.0%
7 75
 
7.4%
6 64
 
6.3%
4 28
 
2.8%
9 18
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1213
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 212
17.5%
- 203
16.7%
0 141
11.6%
3 133
11.0%
1 128
10.6%
2 120
9.9%
8 91
7.5%
7 75
 
6.2%
6 64
 
5.3%
4 28
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 212
17.5%
- 203
16.7%
0 141
11.6%
3 133
11.0%
1 128
10.6%
2 120
9.9%
8 91
7.5%
7 75
 
6.2%
6 64
 
5.3%
4 28
 
2.3%

관리기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
경기도 구리시청
97 
구리시청
 
4

Length

Max length8
Median length8
Mean length7.8415842
Min length4

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 97
96.0%
구리시청 4
 
4.0%

Length

2023-12-13T01:13:17.219418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:13:17.336894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구리시청 101
51.0%
경기도 97
49.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-06-05
101 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-05
2nd row2023-06-05
3rd row2023-06-05
4th row2023-06-05
5th row2023-06-05

Common Values

ValueCountFrequency (%)
2023-06-05 101
100.0%

Length

2023-12-13T01:13:17.442312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:13:17.533121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-05 101
100.0%

Interactions

2023-12-13T01:13:12.715226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:13:11.541786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:13:12.335919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:13:12.841799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:13:12.072460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:13:12.438595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:13:12.977209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:13:12.208342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:13:12.568385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:13:17.607106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도관리기관명
순번1.0000.4830.3480.717
위도0.4831.0000.7080.000
경도0.3480.7081.0000.000
관리기관명0.7170.0000.0001.000
2023-12-13T01:13:17.724220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도관리기관명
순번1.0000.168-0.2190.537
위도0.1681.000-0.2710.000
경도-0.219-0.2711.0000.000
관리기관명0.5370.0000.0001.000

Missing values

2023-12-13T01:13:13.158020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:13:13.356280image/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
01대성치과의원경기도 구리시 경춘로 177 (교문동)37.600301127.135778031-563-2651경기도 구리시청2023-06-05
12백치과의원경기도 구리시 장자대로 78, 3층 (수택동, 연성클리닉)37.587315127.139178031-569-0969경기도 구리시청2023-06-05
23성모치과의원경기도 구리시 검배로 30 (수택동)37.598478127.142718031-569-5520경기도 구리시청2023-06-05
34위생치과의원경기도 구리시 경춘로 152 (교문동)37.600481127.13205031-566-5849경기도 구리시청2023-06-05
45현치과의원경기도 구리시 검배로 54 (수택동, 구리농협새터지점)37.596851127.144526031-551-3358경기도 구리시청2023-06-05
56고정석치과의원경기도 구리시 경춘로 220, 4층 (수택동)37.600332127.140002031-553-1575경기도 구리시청2023-06-05
67세란치과의원경기도 구리시 경춘로 274, 304호 (수택동, 성원메디스티지)37.602597127.145446031-553-3394경기도 구리시청2023-06-05
78고은이치과의원경기도 구리시 경춘로 223 (인창동)37.600892127.140188031-569-5280경기도 구리시청2023-06-05
89연세란치과의원경기도 구리시 이문안로 86 (수택동)37.591789127.141051031-556-2875경기도 구리시청2023-06-05
910서울미치과의원경기도 구리시 이문안로 72 (수택동)37.59211127.139383031-563-2875경기도 구리시청2023-06-05
순번의료기관명의료기관주소(도로명)위도경도의료기관전화번호관리기관명데이터기준일자
9192럭키치과의원경기도 구리시 검배로 27, 3층 (수택동)37.598849127.14294031-553-8058경기도 구리시청2023-06-05
9293세화치과의원경기도 구리시 이문안로 82, 6층 (수택동)37.591912127.140619031-557-2887경기도 구리시청2023-06-05
9394연세고마운치과의원경기도 구리시 검배로 28, 은수빌딩 2층 1호37.59872127.142534031-512-7528경기도 구리시청2023-06-05
9495서울에스플러스치과의원경기도 구리시 이문안로 62, 동진뱅크빌 3층37.592175127.138352031-514-2875경기도 구리시청2023-06-05
9596연세바로치과교정과치과의원경기도 구리시 경춘로 249, 동원플에이스테이션 9층 (인창동)37.602082127.1427031-523-2070경기도 구리시청2023-06-05
9697서울본치과의원경기도 구리시 검배로 5, 우진빌딩 2층 (수택동)37.596753127.144765031-554-2828경기도 구리시청2023-06-05
9798구리리더스치과의원경기도 구리시 검배로 36, 현주Ifriend빌딩 2층 2호 (수택동)37.602082127.1427031-557-7522구리시청2023-06-05
9899연세바른치과의원경기도 구리시 건원대로33번길 4, 2층 (인창동)37.604241127.139821031-516-2875구리시청2023-06-05
99100바로플란트치과의원경기도 구리시 검배로 3, 4층 (수택동)37.600759127.141741031-562-2875구리시청2023-06-05
100101갈매키즈앤주니어치과의원경기도 구리시 경춘북로 252, 841동 5층 5호 (갈매동, 갈매역아이파크)37.633818127.118339031-512-2875구리시청2023-06-05