Overview

Dataset statistics

Number of variables7
Number of observations32
Missing cells7
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory61.0 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description외국인환자를 유치할 수 있는 의료기관 현황에 대한 정보로 2024년 1월29일 기준 기관명, 기관구분, 주소,타깃국가 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15043949/fileData.do

Alerts

데이터기준일 has constant value ""Constant
유치목표국가 has 7 (21.9%) missing valuesMissing
기관명 has unique valuesUnique
대표자 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:20:31.080455
Analysis finished2024-03-14 09:20:32.158465
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.375
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-03-14T18:20:32.271758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile29.45
Maximum31
Range30
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.1923882
Coefficient of variation (CV)0.56136722
Kurtosis-1.246567
Mean16.375
Median Absolute Deviation (MAD)8
Skewness-0.054070978
Sum524
Variance84.5
MonotonicityIncreasing
2024-03-14T18:20:32.491813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
28 2
 
6.2%
1 1
 
3.1%
2 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
24 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 2
6.2%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%
22 1
3.1%

기관명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-14T18:20:33.268519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length7.8125
Min length4

Characters and Unicode

Total characters250
Distinct characters107
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

Unique32 ?
Unique (%)100.0%

Sample

1st row조선대학교병원
2nd row(재)한국의학연구소 광주분사무소
3rd row전남대학교병원
4th row조선대학교 치과병원
5th row보라안과병원
ValueCountFrequency (%)
조선대학교병원 1
 
2.6%
비비드성형외과 1
 
2.6%
라벨르의원 1
 
2.6%
밴스의원 1
 
2.6%
코앤영의원 1
 
2.6%
최선필 1
 
2.6%
피부과 1
 
2.6%
굿모닝서울안과의원 1
 
2.6%
빛고을생생병원 1
 
2.6%
자이치과의원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T18:20:34.280819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 28
 
11.2%
과 17
 
6.8%
의 17
 
6.8%
병 12
 
4.8%
안 8
 
3.2%
7
 
2.8%
치 6
 
2.4%
학 5
 
2.0%
광 5
 
2.0%
교 4
 
1.6%
Other values (97) 141
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 234
93.6%
Space Separator 7
 
2.8%
Uppercase Letter 3
 
1.2%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%
Decimal Number 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 28
 
12.0%
과 17
 
7.3%
의 17
 
7.3%
병 12
 
5.1%
안 8
 
3.4%
치 6
 
2.6%
학 5
 
2.1%
광 5
 
2.1%
교 4
 
1.7%
한 4
 
1.7%
Other values (89) 128
54.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
T 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
93.6%
Common 13
 
5.2%
Latin 3
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 28
 
12.0%
과 17
 
7.3%
의 17
 
7.3%
병 12
 
5.1%
안 8
 
3.4%
치 6
 
2.6%
학 5
 
2.1%
광 5
 
2.1%
교 4
 
1.7%
한 4
 
1.7%
Other values (89) 128
54.7%
Common
ValueCountFrequency (%)
7
53.8%
( 2
 
15.4%
) 2
 
15.4%
2 1
 
7.7%
1 1
 
7.7%
Latin
ValueCountFrequency (%)
S 1
33.3%
K 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 234
93.6%
ASCII 16
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 28
 
12.0%
과 17
 
7.3%
의 17
 
7.3%
병 12
 
5.1%
안 8
 
3.4%
치 6
 
2.6%
학 5
 
2.1%
광 5
 
2.1%
교 4
 
1.7%
한 4
 
1.7%
Other values (89) 128
54.7%
ASCII
ValueCountFrequency (%)
7
43.8%
( 2
 
12.5%
) 2
 
12.5%
2 1
 
6.2%
S 1
 
6.2%
K 1
 
6.2%
1 1
 
6.2%
T 1
 
6.2%

기관구분
Categorical

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size384.0 B
의원
16 
병원
4 
종합병원
4 
상급종합병원
2 
치과병원
2 
Other values (2)
4 

Length

Max length6
Median length2
Mean length2.8125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상급종합병원
2nd row의원
3rd row상급종합병원
4th row치과병원
5th row병원

Common Values

ValueCountFrequency (%)
의원 16
50.0%
병원 4
 
12.5%
종합병원 4
 
12.5%
상급종합병원 2
 
6.2%
치과병원 2
 
6.2%
한의원 2
 
6.2%
치과의원 2
 
6.2%

Length

2024-03-14T18:20:34.520153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:20:34.732262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 16
50.0%
병원 4
 
12.5%
종합병원 4
 
12.5%
상급종합병원 2
 
6.2%
치과병원 2
 
6.2%
한의원 2
 
6.2%
치과의원 2
 
6.2%

대표자
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-14T18:20:35.471384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.21875
Min length3

Characters and Unicode

Total characters103
Distinct characters58
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

Unique32 ?
Unique (%)100.0%

Sample

1st row김경종
2nd row이상호
3rd row안영근
4th row이난영
5th row조형진
ValueCountFrequency (%)
김경종 1
 
2.9%
주대창 1
 
2.9%
김인원 1
 
2.9%
박태호 1
 
2.9%
김혜원 1
 
2.9%
손원상 1
 
2.9%
최선필 1
 
2.9%
김근호 1
 
2.9%
김경필 1
 
2.9%
이상호 1
 
2.9%
Other values (24) 24
70.6%
2024-03-14T18:20:36.436690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
8.7%
이 5
 
4.9%
호 4
 
3.9%
영 4
 
3.9%
4
 
3.9%
경 3
 
2.9%
상 3
 
2.9%
필 3
 
2.9%
원 3
 
2.9%
조 3
 
2.9%
Other values (48) 62
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98
95.1%
Space Separator 4
 
3.9%
Decimal Number 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
9.2%
이 5
 
5.1%
호 4
 
4.1%
영 4
 
4.1%
경 3
 
3.1%
상 3
 
3.1%
필 3
 
3.1%
원 3
 
3.1%
조 3
 
3.1%
대 3
 
3.1%
Other values (46) 58
59.2%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98
95.1%
Common 5
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
9.2%
이 5
 
5.1%
호 4
 
4.1%
영 4
 
4.1%
경 3
 
3.1%
상 3
 
3.1%
필 3
 
3.1%
원 3
 
3.1%
조 3
 
3.1%
대 3
 
3.1%
Other values (46) 58
59.2%
Common
ValueCountFrequency (%)
4
80.0%
5 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98
95.1%
ASCII 5
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
9.2%
이 5
 
5.1%
호 4
 
4.1%
영 4
 
4.1%
경 3
 
3.1%
상 3
 
3.1%
필 3
 
3.1%
원 3
 
3.1%
조 3
 
3.1%
대 3
 
3.1%
Other values (46) 58
59.2%
ASCII
ValueCountFrequency (%)
4
80.0%
5 1
 
20.0%

소재지도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-14T18:20:37.257547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length33.59375
Min length20

Characters and Unicode

Total characters1075
Distinct characters146
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

Unique32 ?
Unique (%)100.0%

Sample

1st row광주광역시동구 필문대로 365 (학동,조선대학교병원)
2nd row광주광역시서구 상무중앙로 58, 8~10층(치평동, 타임스타워)
3rd row광주광역시동구 제봉로 42(학동)
4th row광주광역시동구 필문대로 303(서석동)
5th row광주광역시 서구 상무자유로 170 (치평동, 보라안과병원) 보라안과병원
ValueCountFrequency (%)
광주광역시 19
 
9.3%
서구 12
 
5.9%
농성동 6
 
2.9%
광주 5
 
2.5%
죽봉대로 5
 
2.5%
광산구 5
 
2.5%
2층 4
 
2.0%
광주광역시서구 4
 
2.0%
무진대로 4
 
2.0%
광주광역시동구 3
 
1.5%
Other values (114) 137
67.2%
2024-03-14T18:20:38.310505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189
 
17.6%
광 71
 
6.6%
동 41
 
3.8%
주 36
 
3.3%
( 33
 
3.1%
로 33
 
3.1%
) 33
 
3.1%
구 32
 
3.0%
, 31
 
2.9%
시 29
 
2.7%
Other values (136) 547
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
59.3%
Space Separator 189
 
17.6%
Decimal Number 138
 
12.8%
Open Punctuation 33
 
3.1%
Close Punctuation 33
 
3.1%
Other Punctuation 31
 
2.9%
Uppercase Letter 12
 
1.1%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 71
 
11.1%
동 41
 
6.4%
주 36
 
5.7%
로 33
 
5.2%
구 32
 
5.0%
시 29
 
4.6%
역 27
 
4.2%
서 20
 
3.1%
대 19
 
3.0%
층 16
 
2.5%
Other values (111) 313
49.1%
Decimal Number
ValueCountFrequency (%)
1 22
15.9%
3 20
14.5%
2 17
12.3%
0 17
12.3%
5 13
9.4%
8 12
8.7%
6 11
8.0%
4 11
8.0%
7 8
 
5.8%
9 7
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
16.7%
S 2
16.7%
K 2
16.7%
J 1
8.3%
A 1
8.3%
B 1
8.3%
L 1
8.3%
M 1
8.3%
T 1
8.3%
Space Separator
ValueCountFrequency (%)
189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 637
59.3%
Common 426
39.6%
Latin 12
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 71
 
11.1%
동 41
 
6.4%
주 36
 
5.7%
로 33
 
5.2%
구 32
 
5.0%
시 29
 
4.6%
역 27
 
4.2%
서 20
 
3.1%
대 19
 
3.0%
층 16
 
2.5%
Other values (111) 313
49.1%
Common
ValueCountFrequency (%)
189
44.4%
( 33
 
7.7%
) 33
 
7.7%
, 31
 
7.3%
1 22
 
5.2%
3 20
 
4.7%
2 17
 
4.0%
0 17
 
4.0%
5 13
 
3.1%
8 12
 
2.8%
Other values (6) 39
 
9.2%
Latin
ValueCountFrequency (%)
C 2
16.7%
S 2
16.7%
K 2
16.7%
J 1
8.3%
A 1
8.3%
B 1
8.3%
L 1
8.3%
M 1
8.3%
T 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
59.3%
ASCII 438
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
189
43.2%
( 33
 
7.5%
) 33
 
7.5%
, 31
 
7.1%
1 22
 
5.0%
3 20
 
4.6%
2 17
 
3.9%
0 17
 
3.9%
5 13
 
3.0%
8 12
 
2.7%
Other values (15) 51
 
11.6%
Hangul
ValueCountFrequency (%)
광 71
 
11.1%
동 41
 
6.4%
주 36
 
5.7%
로 33
 
5.2%
구 32
 
5.0%
시 29
 
4.6%
역 27
 
4.2%
서 20
 
3.1%
대 19
 
3.0%
층 16
 
2.5%
Other values (111) 313
49.1%

유치목표국가
Text

MISSING 

Distinct21
Distinct (%)84.0%
Missing7
Missing (%)21.9%
Memory size384.0 B
2024-03-14T18:20:39.046754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length9.92
Min length2

Characters and Unicode

Total characters248
Distinct characters17
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

Unique18 ?
Unique (%)72.0%

Sample

1st row미국/러시아/중동/몽골/베트남
2nd row미국/일본/중국
3rd row미국/일본/중국
4th row미국/일본/중국/러시아
5th row일본/중국/몽골
ValueCountFrequency (%)
미국/일본/중국 3
 
12.0%
일본/중국 2
 
8.0%
미국/일본/중국/러시아 2
 
8.0%
중국 1
 
4.0%
미국/러시아/중동/몽골/베트남 1
 
4.0%
미국/일본/중국/몽골/베트남 1
 
4.0%
미국/일본/중국/베트남 1
 
4.0%
중국/몽골 1
 
4.0%
러시아/베트남/기타 1
 
4.0%
미국 1
 
4.0%
Other values (11) 11
44.0%
2024-03-14T18:20:40.235041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 59
23.8%
국 32
12.9%
중 21
 
8.5%
미 14
 
5.6%
일 14
 
5.6%
본 14
 
5.6%
시 12
 
4.8%
아 12
 
4.8%
러 12
 
4.8%
몽 11
 
4.4%
Other values (7) 47
19.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
76.2%
Other Punctuation 59
 
23.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 32
16.9%
중 21
11.1%
미 14
 
7.4%
일 14
 
7.4%
본 14
 
7.4%
시 12
 
6.3%
아 12
 
6.3%
러 12
 
6.3%
몽 11
 
5.8%
골 11
 
5.8%
Other values (6) 36
19.0%
Other Punctuation
ValueCountFrequency (%)
/ 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
76.2%
Common 59
 
23.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 32
16.9%
중 21
11.1%
미 14
 
7.4%
일 14
 
7.4%
본 14
 
7.4%
시 12
 
6.3%
아 12
 
6.3%
러 12
 
6.3%
몽 11
 
5.8%
골 11
 
5.8%
Other values (6) 36
19.0%
Common
ValueCountFrequency (%)
/ 59
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
76.2%
ASCII 59
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 59
100.0%
Hangul
ValueCountFrequency (%)
국 32
16.9%
중 21
11.1%
미 14
 
7.4%
일 14
 
7.4%
본 14
 
7.4%
시 12
 
6.3%
아 12
 
6.3%
러 12
 
6.3%
몽 11
 
5.8%
골 11
 
5.8%
Other values (6) 36
19.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-01-29
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-29
2nd row2024-01-29
3rd row2024-01-29
4th row2024-01-29
5th row2024-01-29

Common Values

ValueCountFrequency (%)
2024-01-29 32
100.0%

Length

2024-03-14T18:20:40.455455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:20:40.640344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-29 32
100.0%

Interactions

2024-03-14T18:20:31.533923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:20:40.830065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명기관구분대표자소재지도로명주소유치목표국가
연번1.0001.0000.6161.0001.0000.882
기관명1.0001.0001.0001.0001.0001.000
기관구분0.6161.0001.0001.0001.0000.903
대표자1.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.000
유치목표국가0.8821.0000.9031.0001.0001.000
2024-03-14T18:20:41.096051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관구분
연번1.0000.145
기관구분0.1451.000

Missing values

2024-03-14T18:20:31.876801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:20:32.078423image/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

연번기관명기관구분대표자소재지도로명주소유치목표국가데이터기준일
01조선대학교병원상급종합병원김경종광주광역시동구 필문대로 365 (학동,조선대학교병원)미국/러시아/중동/몽골/베트남2024-01-29
12(재)한국의학연구소 광주분사무소의원이상호광주광역시서구 상무중앙로 58, 8~10층(치평동, 타임스타워)미국/일본/중국2024-01-29
23전남대학교병원상급종합병원안영근광주광역시동구 제봉로 42(학동)미국/일본/중국2024-01-29
34조선대학교 치과병원치과병원이난영광주광역시동구 필문대로 303(서석동)미국/일본/중국/러시아2024-01-29
45보라안과병원병원조형진광주광역시 서구 상무자유로 170 (치평동, 보라안과병원) 보라안과병원일본/중국/몽골2024-01-29
56밝은안과21병원병원주종대광주광역시 서구 무진대로 950 (농성동, 주식회사명안빌딩) 8,9,10층일본/중국2024-01-29
67KS병원종합병원이영철광주광역시 광산구 왕버들로 220 (수완동, KS병원) KS병원미국/일본/중국2024-01-29
78신세계안과의원의원김재봉광주광역시서구 죽봉대로 92 (광천동, 4,5층)일본/중국2024-01-29
89신가병원종합병원이준영 외 5명광주광역시광산구 목련로 316, 목련로 314(신가동)러시아2024-01-29
910프레메디산부인과의원의원조윤경광주광역시 서구 무진대로 950 (농성동, 주식회사명안빌딩) 3,4층러시아/몽골2024-01-29
연번기관명기관구분대표자소재지도로명주소유치목표국가데이터기준일
2223굿모닝서울안과의원의원김근호광주광역시 서구 무진대로 965 (광천동) 2,3층미국/일본/중국/러시아/중동/몽골/베트남2024-01-29
2324빛고을생생병원병원주대창광주광역시 북구 각화대로 7 빛고을생생병원러시아/기타2024-01-29
2425비비드성형외과의원김경필광주광역시 서구 죽봉대로 80 (농성동) 501,503호<NA>2024-01-29
2526자이치과의원치과의원김려운광주광역시 광산구 첨단중앙로 164 (쌍암동) 미래빌딩 2층, 203호 자이치과의원<NA>2024-01-29
2627광덕안정 한의원 광주수완점한의원전의상광주광역시 광산구 임방울대로 348 (수완동) 102호,107호,701호,702호(수완동)미국2024-01-29
2728서울니어치과의원이규호광주광역시 서구 죽봉대로 15 (화정동) 화정J타워 3층 서울니어치과러시아/베트남/기타2024-01-29
2828광주센트럴병원종합병원고길석광주광역시 광산구 수완로 6 (신가동) A, B동중국/몽골2024-01-29
2929센트럴윤길중안과의원의원윤길중광주광역시 서구 죽봉대로 62 (농성동) 어반 센트럴 상가 2층미국/일본/중국/베트남2024-01-29
3030치우치과의원치과의원강필구광주광역시 동구 남문로 686 (학동) 유정천 2층 치우치과의원미국/베트남/기타2024-01-29
3131파랑새안과의원의원임선택광주광역시 동구 백서로 134-1 (학동) 4층<NA>2024-01-29