Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells9
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory60.9 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description부산광역시부산진구_의료관광정보_20230605
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15008336

Alerts

데이터기준일자 has constant value ""Constant
주소 has 4 (11.8%) missing valuesMissing
홈페이지 has 5 (14.7%) missing valuesMissing
연번 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:00:52.371021
Analysis finished2023-12-10 16:00:53.253890
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T01:00:53.344053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-11T01:00:53.493008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

분야
Categorical

Distinct14
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
성형외과
9 
치과
3 
안과
3 
호텔
3 
유치업체
3 
Other values (9)
13 

Length

Max length4
Median length4
Mean length3.1764706
Min length2

Unique

Unique5 ?
Unique (%)14.7%

Sample

1st row치과
2nd row성형외과
3rd row치과
4th row안과
5th row한의원

Common Values

ValueCountFrequency (%)
성형외과 9
26.5%
치과 3
 
8.8%
안과 3
 
8.8%
호텔 3
 
8.8%
유치업체 3
 
8.8%
한의원 2
 
5.9%
피부과 2
 
5.9%
치과병원 2
 
5.9%
기타 2
 
5.9%
내과병원 1
 
2.9%
Other values (4) 4
11.8%

Length

2023-12-11T01:00:53.689808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성형외과 9
26.5%
치과 3
 
8.8%
안과 3
 
8.8%
호텔 3
 
8.8%
유치업체 3
 
8.8%
한의원 2
 
5.9%
피부과 2
 
5.9%
치과병원 2
 
5.9%
기타 2
 
5.9%
내과병원 1
 
2.9%
Other values (4) 4
11.8%

명칭
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:00:53.980414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.3235294
Min length4

Characters and Unicode

Total characters283
Distinct characters115
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row예바치과교정과치과의원
2nd rowBS더바디성형외과의원
3rd row라인업치과의원
4th row하이뷰안과의원
5th row보리은백한의원
ValueCountFrequency (%)
예바치과교정과치과의원 1
 
2.9%
bs더바디성형외과의원 1
 
2.9%
tim교육컨설팅 1
 
2.9%
부산제이엠제이 1
 
2.9%
한중건강관리협회 1
 
2.9%
고려의료관광개발 1
 
2.9%
tt호텔 1
 
2.9%
솔라리아니시테츠호텔부산 1
 
2.9%
롯데호텔부산 1
 
2.9%
굿모닝백이안과의원 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T01:00:54.485566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 25
 
8.8%
과 22
 
7.8%
의 21
 
7.4%
성 12
 
4.2%
외 10
 
3.5%
형 9
 
3.2%
이 9
 
3.2%
부 8
 
2.8%
치 6
 
2.1%
병 6
 
2.1%
Other values (105) 155
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
94.3%
Uppercase Letter 10
 
3.5%
Decimal Number 4
 
1.4%
Lowercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 25
 
9.4%
과 22
 
8.2%
의 21
 
7.9%
성 12
 
4.5%
외 10
 
3.7%
형 9
 
3.4%
이 9
 
3.4%
부 8
 
3.0%
치 6
 
2.2%
병 6
 
2.2%
Other values (92) 139
52.1%
Uppercase Letter
ValueCountFrequency (%)
T 3
30.0%
B 2
20.0%
S 1
 
10.0%
M 1
 
10.0%
I 1
 
10.0%
C 1
 
10.0%
A 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
5 1
25.0%
6 1
25.0%
3 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
m 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
94.3%
Latin 12
 
4.2%
Common 4
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 25
 
9.4%
과 22
 
8.2%
의 21
 
7.9%
성 12
 
4.5%
외 10
 
3.7%
형 9
 
3.4%
이 9
 
3.4%
부 8
 
3.0%
치 6
 
2.2%
병 6
 
2.2%
Other values (92) 139
52.1%
Latin
ValueCountFrequency (%)
T 3
25.0%
B 2
16.7%
S 1
 
8.3%
M 1
 
8.3%
I 1
 
8.3%
c 1
 
8.3%
m 1
 
8.3%
C 1
 
8.3%
A 1
 
8.3%
Common
ValueCountFrequency (%)
2 1
25.0%
5 1
25.0%
6 1
25.0%
3 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
94.3%
ASCII 16
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 25
 
9.4%
과 22
 
8.2%
의 21
 
7.9%
성 12
 
4.5%
외 10
 
3.7%
형 9
 
3.4%
이 9
 
3.4%
부 8
 
3.0%
치 6
 
2.2%
병 6
 
2.2%
Other values (92) 139
52.1%
ASCII
ValueCountFrequency (%)
T 3
18.8%
B 2
12.5%
2 1
 
6.2%
S 1
 
6.2%
M 1
 
6.2%
I 1
 
6.2%
c 1
 
6.2%
m 1
 
6.2%
5 1
 
6.2%
6 1
 
6.2%
Other values (3) 3
18.8%

주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing4
Missing (%)11.8%
Memory size404.0 B
2023-12-11T01:00:54.741326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length28.4
Min length17

Characters and Unicode

Total characters852
Distinct characters53
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row부산광역시 부산진구 중앙대로 736, 4층(부전동)
2nd row부산광역시 부산진구 서면로 51, 4~7층 (부전동)
3rd row부산광역시 부산진구 서면로 40, 9~11층(부전동)
4th row부산광역시 부산진구 가야대로 767-1 (부전동)
5th row부산광역시 부산진구 가야대로 749-1 (부전동)
ValueCountFrequency (%)
부산광역시 30
19.2%
부산진구 30
19.2%
부전동 14
 
9.0%
가야대로 7
 
4.5%
서면로 6
 
3.8%
중앙대로 6
 
3.8%
서면문화로 4
 
2.6%
10 4
 
2.6%
부전로66번길 3
 
1.9%
4층 2
 
1.3%
Other values (47) 50
32.1%
2023-12-11T01:00:55.169017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
15.0%
부 91
 
10.7%
산 60
 
7.0%
전 31
 
3.6%
역 30
 
3.5%
시 30
 
3.5%
광 30
 
3.5%
진 30
 
3.5%
구 30
 
3.5%
로 30
 
3.5%
Other values (43) 362
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 503
59.0%
Space Separator 128
 
15.0%
Decimal Number 127
 
14.9%
Close Punctuation 29
 
3.4%
Open Punctuation 29
 
3.4%
Other Punctuation 24
 
2.8%
Math Symbol 9
 
1.1%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 91
18.1%
산 60
11.9%
전 31
 
6.2%
역 30
 
6.0%
시 30
 
6.0%
광 30
 
6.0%
진 30
 
6.0%
구 30
 
6.0%
로 30
 
6.0%
동 29
 
5.8%
Other values (27) 112
22.3%
Decimal Number
ValueCountFrequency (%)
1 27
21.3%
6 20
15.7%
4 16
12.6%
7 16
12.6%
3 12
9.4%
0 9
 
7.1%
2 9
 
7.1%
8 6
 
4.7%
5 6
 
4.7%
9 6
 
4.7%
Space Separator
ValueCountFrequency (%)
128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 503
59.0%
Common 349
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 91
18.1%
산 60
11.9%
전 31
 
6.2%
역 30
 
6.0%
시 30
 
6.0%
광 30
 
6.0%
진 30
 
6.0%
구 30
 
6.0%
로 30
 
6.0%
동 29
 
5.8%
Other values (27) 112
22.3%
Common
ValueCountFrequency (%)
128
36.7%
) 29
 
8.3%
( 29
 
8.3%
1 27
 
7.7%
, 24
 
6.9%
6 20
 
5.7%
4 16
 
4.6%
7 16
 
4.6%
3 12
 
3.4%
~ 9
 
2.6%
Other values (6) 39
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 503
59.0%
ASCII 349
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
36.7%
) 29
 
8.3%
( 29
 
8.3%
1 27
 
7.7%
, 24
 
6.9%
6 20
 
5.7%
4 16
 
4.6%
7 16
 
4.6%
3 12
 
3.4%
~ 9
 
2.6%
Other values (6) 39
 
11.2%
Hangul
ValueCountFrequency (%)
부 91
18.1%
산 60
11.9%
전 31
 
6.2%
역 30
 
6.0%
시 30
 
6.0%
광 30
 
6.0%
진 30
 
6.0%
구 30
 
6.0%
로 30
 
6.0%
동 29
 
5.8%
Other values (27) 112
22.3%

홈페이지
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing5
Missing (%)14.7%
Memory size404.0 B
2023-12-11T01:00:55.420832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length19.689655
Min length12

Characters and Unicode

Total characters571
Distinct characters36
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowwww.prettymiso.com/yeba/seomyeon
2nd rowwww.thebodyps.co.kr
3rd rowwww.lineupdent.co.kr
4th rowwww.hivue.co.kr
5th rowwww.eunbaek.co.kr
ValueCountFrequency (%)
www.thebodyps.co.kr 1
 
3.4%
www.rio25.co.kr 1
 
3.4%
http://www.hoteltt.co.kr 1
 
3.4%
https://solariabusan.com 1
 
3.4%
www.lottehotel.com/busan-hotel 1
 
3.4%
4seasonsps.com 1
 
3.4%
http://www.iknowu.co.kr 1
 
3.4%
2nd.hangun.com/kr 1
 
3.4%
www.theface-dr.co.kr 1
 
3.4%
https://blog.naver.com/brightorien 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T01:00:55.822199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 68
 
11.9%
w 63
 
11.0%
o 51
 
8.9%
c 40
 
7.0%
e 33
 
5.8%
t 29
 
5.1%
r 27
 
4.7%
n 25
 
4.4%
s 23
 
4.0%
i 22
 
3.9%
Other values (26) 190
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 469
82.1%
Other Punctuation 88
 
15.4%
Decimal Number 11
 
1.9%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 63
13.4%
o 51
 
10.9%
c 40
 
8.5%
e 33
 
7.0%
t 29
 
6.2%
r 27
 
5.8%
n 25
 
5.3%
s 23
 
4.9%
i 22
 
4.7%
m 22
 
4.7%
Other values (14) 134
28.6%
Decimal Number
ValueCountFrequency (%)
2 3
27.3%
5 2
18.2%
0 1
 
9.1%
7 1
 
9.1%
3 1
 
9.1%
6 1
 
9.1%
1 1
 
9.1%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 68
77.3%
/ 16
 
18.2%
: 4
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 469
82.1%
Common 102
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 63
13.4%
o 51
 
10.9%
c 40
 
8.5%
e 33
 
7.0%
t 29
 
6.2%
r 27
 
5.8%
n 25
 
5.3%
s 23
 
4.9%
i 22
 
4.7%
m 22
 
4.7%
Other values (14) 134
28.6%
Common
ValueCountFrequency (%)
. 68
66.7%
/ 16
 
15.7%
: 4
 
3.9%
2 3
 
2.9%
- 3
 
2.9%
5 2
 
2.0%
0 1
 
1.0%
7 1
 
1.0%
3 1
 
1.0%
6 1
 
1.0%
Other values (2) 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 68
 
11.9%
w 63
 
11.0%
o 51
 
8.9%
c 40
 
7.0%
e 33
 
5.8%
t 29
 
5.1%
r 27
 
4.7%
n 25
 
4.4%
s 23
 
4.0%
i 22
 
3.9%
Other values (26) 190
33.3%

전화번호
Text

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:00:56.052934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.088235
Min length12

Characters and Unicode

Total characters411
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

Unique32 ?
Unique (%)94.1%

Sample

1st row051-809-2861
2nd row051-818-9300
3rd row051-802-6363
4th row051-816-0001
5th row051-806-3588
ValueCountFrequency (%)
051-710-5971 2
 
5.9%
051-806-1115 1
 
2.9%
051-909-5368 1
 
2.9%
070-4062-9101 1
 
2.9%
051-807-8200 1
 
2.9%
051-808-5514 1
 
2.9%
051-802-8585 1
 
2.9%
051-810-1000 1
 
2.9%
051-806-7979 1
 
2.9%
051-809-9922 1
 
2.9%
Other values (23) 23
67.6%
2023-12-11T01:00:56.421354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92
22.4%
- 68
16.5%
1 66
16.1%
5 54
13.1%
8 41
10.0%
6 26
 
6.3%
7 20
 
4.9%
9 14
 
3.4%
2 14
 
3.4%
3 11
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 343
83.5%
Dash Punctuation 68
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
26.8%
1 66
19.2%
5 54
15.7%
8 41
12.0%
6 26
 
7.6%
7 20
 
5.8%
9 14
 
4.1%
2 14
 
4.1%
3 11
 
3.2%
4 5
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 411
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92
22.4%
- 68
16.5%
1 66
16.1%
5 54
13.1%
8 41
10.0%
6 26
 
6.3%
7 20
 
4.9%
9 14
 
3.4%
2 14
 
3.4%
3 11
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 411
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92
22.4%
- 68
16.5%
1 66
16.1%
5 54
13.1%
8 41
10.0%
6 26
 
6.3%
7 20
 
4.9%
9 14
 
3.4%
2 14
 
3.4%
3 11
 
2.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2023-06-05 00:00:00
Maximum2023-06-05 00:00:00
2023-12-11T01:00:56.546218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:00:56.673682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:00:52.747686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:00:56.764920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분야명칭주소홈페이지전화번호
연번1.0000.6321.0001.0001.0001.000
분야0.6321.0001.0001.0001.0001.000
명칭1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-11T01:00:56.870942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분야
연번1.0000.262
분야0.2621.000

Missing values

2023-12-11T01:00:52.909958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:00:53.072287image/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.
2023-12-11T01:00:53.196567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번분야명칭주소홈페이지전화번호데이터기준일자
01치과예바치과교정과치과의원부산광역시 부산진구 중앙대로 736, 4층(부전동)www.prettymiso.com/yeba/seomyeon051-809-28612023-06-05
12성형외과BS더바디성형외과의원부산광역시 부산진구 서면로 51, 4~7층 (부전동)www.thebodyps.co.kr051-818-93002023-06-05
23치과라인업치과의원부산광역시 부산진구 서면로 40, 9~11층(부전동)www.lineupdent.co.kr051-802-63632023-06-05
34안과하이뷰안과의원부산광역시 부산진구 가야대로 767-1 (부전동)www.hivue.co.kr051-816-00012023-06-05
45한의원보리은백한의원부산광역시 부산진구 가야대로 749-1 (부전동)www.eunbaek.co.kr051-806-35882023-06-05
56안과누네빛안과의원부산광역시 부산진구 가야대로 772, 14층 (부전동, 롯데호텔)www.nunevit.com051-810-56782023-06-05
67성형외과ABC성형외과의원부산광역시 부산진구 가야대로 769, 11층(부전동)www.abcclinic.com051-817-01002023-06-05
78내과병원이샘병원부산광역시 부산진구 황령대로 12(범천동)www.medisam.net051-631-21102023-06-05
89피부과고운세상김양제피부과의원부산광역시 부산진구 중앙대로 686, 5층(부전동)doctorkim.com051-805-10042023-06-05
910안과굿모닝백이안과의원부산광역시 부산진구 중앙대로 724, 3,6,7,8층(부전동)www.102eye.com051-862-01022023-06-05
연번분야명칭주소홈페이지전화번호데이터기준일자
2425성형외과아이노유성형외과의원부산광역시 부산진구 가야대로 783, 13~14층(부전동)http://www.iknowu.co.kr051-809-99222023-06-05
2526성형외과포시즌성형외과의원부산광역시 부산진구 중앙대로 694, 8층 (부전동)4seasonsps.com051-806-79792023-06-05
2627호텔롯데호텔부산부산광역시 부산진구 가야대로 772(부전동)www.lottehotel.com/busan-hotel051-810-10002023-06-05
2728호텔솔라리아니시테츠호텔부산부산광역시 부산진구 서면로 20(부전동)https://solariabusan.com/051-802-85852023-06-05
2829호텔TT호텔부산광역시 부산진구 새싹로 35http://www.hoteltt.co.kr051-808-55142023-06-05
2930유치업체고려의료관광개발<NA><NA>051-807-82002023-06-05
3031유치업체한중건강관리협회부산광역시 부산진구 중앙대로 631(부전동)<NA>070-4062-91012023-06-05
3132유치업체부산제이엠제이<NA><NA>051-909-53682023-06-05
3233기타TIM교육컨설팅<NA><NA>051-710-59712023-06-05
3334기타국제뷰티크리에이션협회<NA><NA>051-710-59712023-06-05