Overview

Dataset statistics

Number of variables6
Number of observations6059
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory301.9 KiB
Average record size in memory51.0 B

Variable types

Categorical1
Numeric2
Text3

Dataset

Description산업재해보상험법에 따라 산업재해 지정 의료기관으로 지정 되어 있는 지정 의료기관의 명단, 주소, 연락처 등 관련 정보입니다
URLhttps://www.data.go.kr/data/3044320/fileData.do

Alerts

연도 has constant value ""Constant
의료기관기호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:26:58.266752
Analysis finished2023-12-12 10:27:00.126422
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size47.5 KiB
2022
6059 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 6059
100.0%

Length

2023-12-12T19:27:00.210647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:00.325508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 6059
100.0%

의료기관기호
Real number (ℝ)

UNIQUE 

Distinct6059
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1015732.4
Minimum1000001
Maximum1022475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2023-12-12T19:27:00.460407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000001
5-th percentile1003232.7
Q11012018
median1017896
Q31020592.5
95-th percentile1022110.1
Maximum1022475
Range22474
Interquartile range (IQR)8574.5

Descriptive statistics

Standard deviation6002.3459
Coefficient of variation (CV)0.0059093771
Kurtosis-0.25770001
Mean1015732.4
Median Absolute Deviation (MAD)3441
Skewness-0.9207823
Sum6.1543228 × 109
Variance36028157
MonotonicityStrictly increasing
2023-12-12T19:27:00.626715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000001 1
 
< 0.1%
1019853 1
 
< 0.1%
1019864 1
 
< 0.1%
1019863 1
 
< 0.1%
1019862 1
 
< 0.1%
1019860 1
 
< 0.1%
1019859 1
 
< 0.1%
1019858 1
 
< 0.1%
1019857 1
 
< 0.1%
1019856 1
 
< 0.1%
Other values (6049) 6049
99.8%
ValueCountFrequency (%)
1000001 1
< 0.1%
1000050 1
< 0.1%
1000072 1
< 0.1%
1000116 1
< 0.1%
1000125 1
< 0.1%
1000147 1
< 0.1%
1000158 1
< 0.1%
1000159 1
< 0.1%
1000161 1
< 0.1%
1000168 1
< 0.1%
ValueCountFrequency (%)
1022475 1
< 0.1%
1022473 1
< 0.1%
1022470 1
< 0.1%
1022469 1
< 0.1%
1022468 1
< 0.1%
1022467 1
< 0.1%
1022466 1
< 0.1%
1022465 1
< 0.1%
1022464 1
< 0.1%
1022463 1
< 0.1%

의료기관명
Text

Distinct5389
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size47.5 KiB
2023-12-12T19:27:00.890986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length7.9783793
Min length3

Characters and Unicode

Total characters48341
Distinct characters627
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5020 ?
Unique (%)82.9%

Sample

1st row연세대학교의과대학강남세브란스병원
2nd row의료법인 제일병원
3rd row예루살렘정형외과
4th row가톨릭정형외과의원
5th row안정형외과
ValueCountFrequency (%)
의료법인 85
 
1.3%
한의원 22
 
0.3%
서울정형외과의원 20
 
0.3%
연세정형외과의원 17
 
0.3%
의원 16
 
0.2%
정형외과의원 16
 
0.2%
근로복지공단 15
 
0.2%
정형외과 15
 
0.2%
현대정형외과의원 15
 
0.2%
삼성정형외과의원 14
 
0.2%
Other values (5685) 6428
96.5%
2023-12-12T19:27:01.379577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 5742
 
11.9%
의 4456
 
9.2%
과 2538
 
5.3%
병 2215
 
4.6%
한 1823
 
3.8%
외 1752
 
3.6%
정 1678
 
3.5%
형 1476
 
3.1%
료 840
 
1.7%
인 639
 
1.3%
Other values (617) 25182
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46836
96.9%
Space Separator 606
 
1.3%
Decimal Number 270
 
0.6%
Close Punctuation 237
 
0.5%
Open Punctuation 224
 
0.5%
Uppercase Letter 110
 
0.2%
Other Punctuation 27
 
0.1%
Lowercase Letter 25
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 5742
 
12.3%
의 4456
 
9.5%
과 2538
 
5.4%
병 2215
 
4.7%
한 1823
 
3.9%
외 1752
 
3.7%
정 1678
 
3.6%
형 1476
 
3.2%
료 840
 
1.8%
인 639
 
1.4%
Other values (561) 23677
50.6%
Uppercase Letter
ValueCountFrequency (%)
S 22
20.0%
K 13
11.8%
C 9
 
8.2%
W 5
 
4.5%
H 5
 
4.5%
E 5
 
4.5%
T 5
 
4.5%
N 5
 
4.5%
B 5
 
4.5%
R 4
 
3.6%
Other values (11) 32
29.1%
Decimal Number
ValueCountFrequency (%)
3 57
21.1%
5 54
20.0%
6 53
19.6%
1 38
14.1%
2 37
13.7%
8 13
 
4.8%
0 9
 
3.3%
9 6
 
2.2%
4 2
 
0.7%
7 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 14
51.9%
, 4
 
14.8%
& 3
 
11.1%
· 2
 
7.4%
/ 1
 
3.7%
． 1
 
3.7%
， 1
 
3.7%
: 1
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
28.0%
h 4
16.0%
i 4
16.0%
t 3
12.0%
s 2
 
8.0%
n 2
 
8.0%
g 2
 
8.0%
z 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 229
96.6%
） 7
 
3.0%
] 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 216
96.4%
（ 7
 
3.1%
[ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
603
99.5%
　 3
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46836
96.9%
Common 1370
 
2.8%
Latin 135
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 5742
 
12.3%
의 4456
 
9.5%
과 2538
 
5.4%
병 2215
 
4.7%
한 1823
 
3.9%
외 1752
 
3.7%
정 1678
 
3.6%
형 1476
 
3.2%
료 840
 
1.8%
인 639
 
1.4%
Other values (561) 23677
50.6%
Latin
ValueCountFrequency (%)
S 22
16.3%
K 13
 
9.6%
C 9
 
6.7%
e 7
 
5.2%
W 5
 
3.7%
H 5
 
3.7%
E 5
 
3.7%
T 5
 
3.7%
N 5
 
3.7%
B 5
 
3.7%
Other values (19) 54
40.0%
Common
ValueCountFrequency (%)
603
44.0%
) 229
 
16.7%
( 216
 
15.8%
3 57
 
4.2%
5 54
 
3.9%
6 53
 
3.9%
1 38
 
2.8%
2 37
 
2.7%
. 14
 
1.0%
8 13
 
0.9%
Other values (17) 56
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46836
96.9%
ASCII 1484
 
3.1%
None 21
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 5742
 
12.3%
의 4456
 
9.5%
과 2538
 
5.4%
병 2215
 
4.7%
한 1823
 
3.9%
외 1752
 
3.7%
정 1678
 
3.6%
형 1476
 
3.2%
료 840
 
1.8%
인 639
 
1.4%
Other values (561) 23677
50.6%
ASCII
ValueCountFrequency (%)
603
40.6%
) 229
 
15.4%
( 216
 
14.6%
3 57
 
3.8%
5 54
 
3.6%
6 53
 
3.6%
1 38
 
2.6%
2 37
 
2.5%
S 22
 
1.5%
. 14
 
0.9%
Other values (40) 161
 
10.8%
None
ValueCountFrequency (%)
） 7
33.3%
（ 7
33.3%
　 3
14.3%
· 2
 
9.5%
． 1
 
4.8%
， 1
 
4.8%

우편번호
Real number (ℝ)

Distinct4311
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29026.957
Minimum1022
Maximum630520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size53.4 KiB
2023-12-12T19:27:01.560168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1022
5-th percentile3385
Q112140.5
median24414
Q344933
95-th percentile59464.8
Maximum630520
Range629498
Interquartile range (IQR)32792.5

Descriptive statistics

Standard deviation25613.226
Coefficient of variation (CV)0.88239446
Kurtosis180.33779
Mean29026.957
Median Absolute Deviation (MAD)15786
Skewness9.1342636
Sum1.7587433 × 108
Variance6.5603735 × 108
MonotonicityNot monotonic
2023-12-12T19:27:01.695315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31156 14
 
0.2%
11813 8
 
0.1%
10071 8
 
0.1%
15865 8
 
0.1%
17936 7
 
0.1%
14948 7
 
0.1%
10113 7
 
0.1%
31770 7
 
0.1%
35262 7
 
0.1%
21927 7
 
0.1%
Other values (4301) 5979
98.7%
ValueCountFrequency (%)
1022 1
 
< 0.1%
1029 1
 
< 0.1%
1043 1
 
< 0.1%
1056 1
 
< 0.1%
1062 1
 
< 0.1%
1063 1
 
< 0.1%
1073 1
 
< 0.1%
1081 4
0.1%
1099 1
 
< 0.1%
1110 2
< 0.1%
ValueCountFrequency (%)
630520 1
< 0.1%
609819 1
< 0.1%
609320 1
< 0.1%
461873 1
< 0.1%
413833 2
< 0.1%
413200 1
< 0.1%
365800 1
< 0.1%
245905 1
< 0.1%
235900 1
< 0.1%
156707 1
< 0.1%

주소
Text

Distinct6027
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size47.5 KiB
2023-12-12T19:27:02.008404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length60
Mean length27.355834
Min length13

Characters and Unicode

Total characters165749
Distinct characters670
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5995 ?
Unique (%)98.9%

Sample

1st row서울 강남구 언주로 211 (도곡동)
2nd row서울 서초구 서초대로 116 (방배동)
3rd row서울 서초구 남부순환로350길 33 (양재동)
4th row서울 강남구 언주로 601 3층 (논현동, 파크랜드빌딩)
5th row서울 강남구 도산대로 303 (신사동)
ValueCountFrequency (%)
경기 1346
 
3.6%
서울 1020
 
2.8%
2층 514
 
1.4%
부산 388
 
1.0%
인천 340
 
0.9%
3층 338
 
0.9%
대구 313
 
0.8%
경남 304
 
0.8%
전북 250
 
0.7%
서구 237
 
0.6%
Other values (9165) 31969
86.4%
2023-12-12T19:27:02.543002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31606
 
19.1%
동 6629
 
4.0%
로 5816
 
3.5%
( 5676
 
3.4%
) 5673
 
3.4%
1 5078
 
3.1%
구 4695
 
2.8%
2 4171
 
2.5%
시 3449
 
2.1%
3 3371
 
2.0%
Other values (660) 89585
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92129
55.6%
Space Separator 31607
 
19.1%
Decimal Number 26452
 
16.0%
Open Punctuation 5676
 
3.4%
Close Punctuation 5673
 
3.4%
Other Punctuation 2839
 
1.7%
Dash Punctuation 708
 
0.4%
Uppercase Letter 382
 
0.2%
Math Symbol 231
 
0.1%
Lowercase Letter 49
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6629
 
7.2%
로 5816
 
6.3%
구 4695
 
5.1%
시 3449
 
3.7%
경 2383
 
2.6%
대 2358
 
2.6%
층 2344
 
2.5%
서 2234
 
2.4%
산 2052
 
2.2%
남 1841
 
2.0%
Other values (583) 58328
63.3%
Uppercase Letter
ValueCountFrequency (%)
B 55
14.4%
A 36
 
9.4%
S 35
 
9.2%
L 31
 
8.1%
C 28
 
7.3%
M 21
 
5.5%
Y 17
 
4.5%
K 17
 
4.5%
T 17
 
4.5%
I 17
 
4.5%
Other values (15) 108
28.3%
Lowercase Letter
ValueCountFrequency (%)
e 10
20.4%
r 6
12.2%
n 5
10.2%
c 3
 
6.1%
i 3
 
6.1%
t 3
 
6.1%
o 2
 
4.1%
w 2
 
4.1%
a 2
 
4.1%
b 2
 
4.1%
Other values (11) 11
22.4%
Decimal Number
ValueCountFrequency (%)
1 5078
19.2%
2 4171
15.8%
3 3371
12.7%
4 2584
9.8%
0 2531
9.6%
5 2264
8.6%
6 1833
 
6.9%
7 1739
 
6.6%
8 1454
 
5.5%
9 1415
 
5.3%
Other values (6) 12
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 2757
97.1%
. 52
 
1.8%
· 20
 
0.7%
/ 4
 
0.1%
& 3
 
0.1%
， 3
 
0.1%
Space Separator
ValueCountFrequency (%)
31606
> 99.9%
　 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 230
99.6%
+ 1
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 5676
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5673
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 708
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92127
55.6%
Common 73186
44.2%
Latin 434
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6629
 
7.2%
로 5816
 
6.3%
구 4695
 
5.1%
시 3449
 
3.7%
경 2383
 
2.6%
대 2358
 
2.6%
층 2344
 
2.5%
서 2234
 
2.4%
산 2052
 
2.2%
남 1841
 
2.0%
Other values (581) 58326
63.3%
Latin
ValueCountFrequency (%)
B 55
 
12.7%
A 36
 
8.3%
S 35
 
8.1%
L 31
 
7.1%
C 28
 
6.5%
M 21
 
4.8%
Y 17
 
3.9%
K 17
 
3.9%
T 17
 
3.9%
I 17
 
3.9%
Other values (38) 160
36.9%
Common
ValueCountFrequency (%)
31606
43.2%
( 5676
 
7.8%
) 5673
 
7.8%
1 5078
 
6.9%
2 4171
 
5.7%
3 3371
 
4.6%
, 2757
 
3.8%
4 2584
 
3.5%
0 2531
 
3.5%
5 2264
 
3.1%
Other values (19) 7475
 
10.2%
Han
ValueCountFrequency (%)
內 1
50.0%
家 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92127
55.6%
ASCII 73581
44.4%
None 36
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31606
43.0%
( 5676
 
7.7%
) 5673
 
7.7%
1 5078
 
6.9%
2 4171
 
5.7%
3 3371
 
4.6%
, 2757
 
3.7%
4 2584
 
3.5%
0 2531
 
3.4%
5 2264
 
3.1%
Other values (56) 7870
 
10.7%
Hangul
ValueCountFrequency (%)
동 6629
 
7.2%
로 5816
 
6.3%
구 4695
 
5.1%
시 3449
 
3.7%
경 2383
 
2.6%
대 2358
 
2.6%
층 2344
 
2.5%
서 2234
 
2.4%
산 2052
 
2.2%
남 1841
 
2.0%
Other values (581) 58326
63.3%
None
ValueCountFrequency (%)
· 20
55.6%
２ 6
 
16.7%
， 3
 
8.3%
０ 2
 
5.6%
５ 1
 
2.8%
６ 1
 
2.8%
３ 1
 
2.8%
７ 1
 
2.8%
　 1
 
2.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
CJK
ValueCountFrequency (%)
內 1
50.0%
家 1
50.0%

전화번호
Text

Distinct6007
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size47.5 KiB
2023-12-12T19:27:02.837397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length11.896022
Min length7

Characters and Unicode

Total characters72078
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5955 ?
Unique (%)98.3%

Sample

1st row02-2019-2163
2nd row02-586-5557
3rd row02-575-0122-0
4th row02-554-7575
5th row02-3444-7277
ValueCountFrequency (%)
053-218-8800 2
 
< 0.1%
02-6258-1175 2
 
< 0.1%
02-353-7522 2
 
< 0.1%
062-373-7700 2
 
< 0.1%
032-432-7585 2
 
< 0.1%
052-235-4900 2
 
< 0.1%
052-232-7599 2
 
< 0.1%
055-364-1000 2
 
< 0.1%
053-584-6655 2
 
< 0.1%
053-965-1119 2
 
< 0.1%
Other values (5997) 6039
99.7%
2023-12-12T19:27:03.229861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 12104
16.8%
0 12003
16.7%
5 7345
10.2%
2 7204
10.0%
1 6744
9.4%
3 6670
9.3%
7 5021
7.0%
8 4163
 
5.8%
6 4020
 
5.6%
4 3851
 
5.3%
Other values (4) 2953
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59965
83.2%
Dash Punctuation 12104
 
16.8%
Math Symbol 5
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12003
20.0%
5 7345
12.2%
2 7204
12.0%
1 6744
11.2%
3 6670
11.1%
7 5021
8.4%
8 4163
 
6.9%
6 4020
 
6.7%
4 3851
 
6.4%
9 2944
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 12104
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72078
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 12104
16.8%
0 12003
16.7%
5 7345
10.2%
2 7204
10.0%
1 6744
9.4%
3 6670
9.3%
7 5021
7.0%
8 4163
 
5.8%
6 4020
 
5.6%
4 3851
 
5.3%
Other values (4) 2953
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 12104
16.8%
0 12003
16.7%
5 7345
10.2%
2 7204
10.0%
1 6744
9.4%
3 6670
9.3%
7 5021
7.0%
8 4163
 
5.8%
6 4020
 
5.6%
4 3851
 
5.3%
Other values (4) 2953
 
4.1%

Interactions

2023-12-12T19:26:59.645814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:26:59.393485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:26:59.777510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:26:59.518908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:27:03.340412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관기호우편번호
의료기관기호1.0000.110
우편번호0.1101.000
2023-12-12T19:27:03.734256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관기호우편번호
의료기관기호1.000-0.078
우편번호-0.0781.000

Missing values

2023-12-12T19:26:59.922664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:27:00.069997image/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

연도의료기관기호의료기관명우편번호주소전화번호
020221000001연세대학교의과대학강남세브란스병원6273서울 강남구 언주로 211 (도곡동)02-2019-2163
120221000050의료법인 제일병원6664서울 서초구 서초대로 116 (방배동)02-586-5557
220221000072예루살렘정형외과6737서울 서초구 남부순환로350길 33 (양재동)02-575-0122-0
320221000116가톨릭정형외과의원6109서울 강남구 언주로 601 3층 (논현동, 파크랜드빌딩)02-554-7575
420221000125안정형외과6021서울 강남구 도산대로 303 (신사동)02-3444-7277
520221000147광동한방병원6170서울 강남구 봉은사로 612 (삼성동)02-2222-4883
620221000158한양대학교병원4763서울 성동구 왕십리로 222-1 (사근동, 한양대학부속병원)02-2290-9096
720221000159강동성심병원5355서울 강동구 성안로 150 (길동)02-2224-2127
820221000161국립경찰병원5715서울 송파구 송이로 123 (가락동)02-3400-1160
920221000168건국대학교병원5030서울특별시 광진구 능동로 120-1 (화양동, 건국대학교병원)02-2030-7160
연도의료기관기호의료기관명우편번호주소전화번호
604920221022463세종센텀한의원30092세종특별자치시 해밀3로 43 (해밀동, 스카이드림) 1동 301호044-868-6882
605020221022464우아한방병원46726부산 강서구 명지국제1로 25 (명지동, 우진메디컬프라자) 5층 501~503호051-202-8080
605120221022465청우한방병원12919경기 하남시 미사강변대로 38 (풍산동, 위너스프라자) 3,4,5,6층031-753-1075
605220221022466더웰샘한방병원8806서울 관악구 남현길 7 4,6층 (남현동, 한얼프라자)02-3427-8275
605320221022467미사경희한방병원12913경기 하남시 미사강변중앙로 180 , 3층 3005호~3028호, 3038호~3050호(망월동)031-699-1588
605420221022468푸른길 정형외과 의원61435광주 동구 동명로70번길 5 (동명동)062-233-9900
605520221022469융치과의원54995전북 전주시 완산구 팔달로 262-6 4층 (서노송동, 세이브존)063-282-7528
605620221022470거인병원47876부산 동래구 여고로 12 (사직동, 거인병원)051-996-7000
605720221022473은혜요양병원59676전남 여수시 거북선공원2길 5-5 (학동)061-688-9805
605820221022475삼성으뜸정형외과의원13406경기 성남시 중원구 둔촌대로 272 B1, 2~5층 (하대원동)031-698-2175