Overview

Dataset statistics

Number of variables6
Number of observations161
Missing cells0
Missing cells (%)0.0%
Duplicate rows7
Duplicate rows (%)4.3%
Total size in memory7.7 KiB
Average record size in memory48.8 B

Variable types

Categorical2
Text4

Dataset

Description부산광역시_중구_의료기기설치정보_20221117
Author부산광역시 중구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026394

Alerts

Dataset has 7 (4.3%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-10 16:54:48.476464
Analysis finished2023-12-10 16:54:49.209590
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장치명칭
Categorical

Distinct12
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
진단용 엑스선 발생기
43 
치과진단용 엑스선 발생장치
41 
진단용 엑스선 장치
36 
전산화 단층 촬영장치
28 
치과용 전산화 단층 촬영장치
 
4
Other values (7)
9 

Length

Max length15
Median length14
Mean length11.57764
Min length7

Unique

Unique6 ?
Unique (%)3.7%

Sample

1st row전산화 단층 촬영장치
2nd row전산화 단층 촬영장치
3rd row전산화 단층 촬영장치
4th row진단용 엑스선 발생기
5th row진단용 엑스선 발생기

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 43
26.7%
치과진단용 엑스선 발생장치 41
25.5%
진단용 엑스선 장치 36
22.4%
전산화 단층 촬영장치 28
17.4%
치과용 전산화 단층 촬영장치 4
 
2.5%
유방촬영용장치 3
 
1.9%
전신용엑스선골밀도측정기 1
 
0.6%
진단용엑스선촬영장치 1
 
0.6%
유방촬영용 장치 1
 
0.6%
치과용전산화단층촬영엑스선장치 1
 
0.6%
Other values (2) 2
 
1.2%

Length

2023-12-11T01:54:49.320841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 120
25.5%
진단용 79
16.8%
발생기 43
 
9.1%
치과진단용 41
 
8.7%
발생장치 41
 
8.7%
장치 37
 
7.9%
단층 32
 
6.8%
촬영장치 32
 
6.8%
전산화 32
 
6.8%
치과용 4
 
0.9%
Other values (7) 9
 
1.9%

장치모델명
Text

Distinct106
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:54:49.752070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length22
Mean length10.459627
Min length3

Characters and Unicode

Total characters1684
Distinct characters72
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)47.2%

Sample

1st rowPHT-35LHS
2nd rowICT-R02-1T
3rd rowICT-R02-1T
4th rowREMEX-T100
5th rowREMEX-T100
ValueCountFrequency (%)
pht-35lhs 8
 
3.1%
3d 8
 
3.1%
max-gls 8
 
3.1%
point 6
 
2.4%
cs 6
 
2.4%
implagraphy 5
 
2.0%
easy-ray 4
 
1.6%
max 4
 
1.6%
prostar 4
 
1.6%
accuray 4
 
1.6%
Other values (139) 198
77.6%
2023-12-11T01:54:50.457990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 103
 
6.1%
- 95
 
5.6%
94
 
5.6%
X 72
 
4.3%
S 67
 
4.0%
R 64
 
3.8%
P 61
 
3.6%
A 57
 
3.4%
o 55
 
3.3%
D 54
 
3.2%
Other values (62) 962
57.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 787
46.7%
Lowercase Letter 414
24.6%
Decimal Number 274
 
16.3%
Dash Punctuation 95
 
5.6%
Space Separator 94
 
5.6%
Other Letter 9
 
0.5%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Math Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 72
 
9.1%
S 67
 
8.5%
R 64
 
8.1%
P 61
 
7.8%
A 57
 
7.2%
D 54
 
6.9%
E 53
 
6.7%
T 41
 
5.2%
M 38
 
4.8%
O 35
 
4.4%
Other values (16) 245
31.1%
Lowercase Letter
ValueCountFrequency (%)
o 55
13.3%
a 46
11.1%
i 39
 
9.4%
m 27
 
6.5%
r 26
 
6.3%
t 26
 
6.3%
s 24
 
5.8%
y 24
 
5.8%
n 24
 
5.8%
e 20
 
4.8%
Other values (13) 103
24.9%
Decimal Number
ValueCountFrequency (%)
0 103
37.6%
5 49
17.9%
3 41
 
15.0%
2 25
 
9.1%
1 20
 
7.3%
6 14
 
5.1%
8 13
 
4.7%
7 4
 
1.5%
4 4
 
1.5%
9 1
 
0.4%
Other Letter
ValueCountFrequency (%)
스 2
22.2%
우 2
22.2%
제 2
22.2%
자 1
11.1%
첨 1
11.1%
위 1
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Space Separator
ValueCountFrequency (%)
94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1202
71.4%
Common 473
 
28.1%
Hangul 9
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 72
 
6.0%
S 67
 
5.6%
R 64
 
5.3%
P 61
 
5.1%
A 57
 
4.7%
o 55
 
4.6%
D 54
 
4.5%
E 53
 
4.4%
a 46
 
3.8%
T 41
 
3.4%
Other values (40) 632
52.6%
Common
ValueCountFrequency (%)
0 103
21.8%
- 95
20.1%
94
19.9%
5 49
10.4%
3 41
 
8.7%
2 25
 
5.3%
1 20
 
4.2%
6 14
 
3.0%
8 13
 
2.7%
7 4
 
0.8%
Other values (6) 15
 
3.2%
Hangul
ValueCountFrequency (%)
스 2
22.2%
우 2
22.2%
제 2
22.2%
자 1
11.1%
첨 1
11.1%
위 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1674
99.4%
Hangul 9
 
0.5%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 103
 
6.2%
- 95
 
5.7%
94
 
5.6%
X 72
 
4.3%
S 67
 
4.0%
R 64
 
3.8%
P 61
 
3.6%
A 57
 
3.4%
o 55
 
3.3%
D 54
 
3.2%
Other values (55) 952
56.9%
Hangul
ValueCountFrequency (%)
스 2
22.2%
우 2
22.2%
제 2
22.2%
자 1
11.1%
첨 1
11.1%
위 1
11.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

장치형식명
Text

Distinct76
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:54:50.806286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length10.403727
Min length6

Characters and Unicode

Total characters1675
Distinct characters24
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)28.0%

Sample

1st rowCBCT(P)-16-99
2nd rowCBCT(P)-12-100
3rd rowCBCT(P)-12-100
4th rowHR-2-70
5th rowHR-2-70
ValueCountFrequency (%)
r-500-125 12
 
7.5%
d-10-60 10
 
6.2%
hr-2-70 7
 
4.3%
hr-60-p 7
 
4.3%
cbct(p)-10-90 6
 
3.7%
cbct(p)-16-99 5
 
3.1%
dp-90-p 5
 
3.1%
hr-2-60 5
 
3.1%
d-60-p 4
 
2.5%
hrf-20-110 4
 
2.5%
Other values (66) 96
59.6%
2023-12-11T01:54:51.367459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 360
21.5%
0 257
15.3%
1 147
 
8.8%
R 100
 
6.0%
P 95
 
5.7%
5 89
 
5.3%
C 73
 
4.4%
6 64
 
3.8%
H 60
 
3.6%
9 56
 
3.3%
Other values (14) 374
22.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 730
43.6%
Uppercase Letter 486
29.0%
Dash Punctuation 360
21.5%
Open Punctuation 47
 
2.8%
Close Punctuation 47
 
2.8%
Other Punctuation 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 257
35.2%
1 147
20.1%
5 89
 
12.2%
6 64
 
8.8%
9 56
 
7.7%
2 55
 
7.5%
3 25
 
3.4%
7 17
 
2.3%
8 11
 
1.5%
4 9
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
R 100
20.6%
P 95
19.5%
C 73
15.0%
H 60
12.3%
D 46
9.5%
B 39
 
8.0%
T 37
 
7.6%
F 30
 
6.2%
M 4
 
0.8%
W 2
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 360
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1189
71.0%
Latin 486
29.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 360
30.3%
0 257
21.6%
1 147
12.4%
5 89
 
7.5%
6 64
 
5.4%
9 56
 
4.7%
2 55
 
4.6%
( 47
 
4.0%
) 47
 
4.0%
3 25
 
2.1%
Other values (4) 42
 
3.5%
Latin
ValueCountFrequency (%)
R 100
20.6%
P 95
19.5%
C 73
15.0%
H 60
12.3%
D 46
9.5%
B 39
 
8.0%
T 37
 
7.6%
F 30
 
6.2%
M 4
 
0.8%
W 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 360
21.5%
0 257
15.3%
1 147
 
8.8%
R 100
 
6.0%
P 95
 
5.7%
5 89
 
5.3%
C 73
 
4.4%
6 64
 
3.8%
H 60
 
3.6%
9 56
 
3.3%
Other values (14) 374
22.3%

의료기관명
Text

Distinct69
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:54:51.740680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length9.3850932
Min length4

Characters and Unicode

Total characters1511
Distinct characters157
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

Unique18 ?
Unique (%)11.2%

Sample

1st row자연치과의원
2nd row강남성모치과의원
3rd row강남성모치과의원
4th row강남성모치과의원
5th row강남성모치과의원
ValueCountFrequency (%)
재단법인천주교부산교구유지재단 16
 
8.6%
메리놀병원 16
 
8.6%
건강만세365병원 6
 
3.2%
유디남포치과의원 6
 
3.2%
연세미래정형외과의원 4
 
2.2%
부산헬스케어의원 4
 
2.2%
강남성모치과의원 4
 
2.2%
인플란트 4
 
2.2%
치과의원 4
 
2.2%
웰컴치과의원 4
 
2.2%
Other values (64) 118
63.4%
2023-12-11T01:54:52.313499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 161
 
10.7%
의 144
 
9.5%
과 124
 
8.2%
치 91
 
6.0%
단 40
 
2.6%
재 37
 
2.4%
교 36
 
2.4%
병 31
 
2.1%
리 29
 
1.9%
산 28
 
1.9%
Other values (147) 790
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1451
96.0%
Space Separator 25
 
1.7%
Decimal Number 24
 
1.6%
Other Punctuation 3
 
0.2%
Close Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%
Open Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 161
 
11.1%
의 144
 
9.9%
과 124
 
8.5%
치 91
 
6.3%
단 40
 
2.8%
재 37
 
2.5%
교 36
 
2.5%
병 31
 
2.1%
리 29
 
2.0%
산 28
 
1.9%
Other values (137) 730
50.3%
Decimal Number
ValueCountFrequency (%)
3 8
33.3%
5 8
33.3%
6 8
33.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1451
96.0%
Common 56
 
3.7%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 161
 
11.1%
의 144
 
9.9%
과 124
 
8.5%
치 91
 
6.3%
단 40
 
2.8%
재 37
 
2.5%
교 36
 
2.5%
병 31
 
2.1%
리 29
 
2.0%
산 28
 
1.9%
Other values (137) 730
50.3%
Common
ValueCountFrequency (%)
25
44.6%
3 8
 
14.3%
5 8
 
14.3%
6 8
 
14.3%
& 3
 
5.4%
) 2
 
3.6%
( 2
 
3.6%
Latin
ValueCountFrequency (%)
e 2
50.0%
L 1
25.0%
J 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1451
96.0%
ASCII 60
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 161
 
11.1%
의 144
 
9.9%
과 124
 
8.5%
치 91
 
6.3%
단 40
 
2.8%
재 37
 
2.5%
교 36
 
2.5%
병 31
 
2.1%
리 29
 
2.0%
산 28
 
1.9%
Other values (137) 730
50.3%
ASCII
ValueCountFrequency (%)
25
41.7%
3 8
 
13.3%
5 8
 
13.3%
6 8
 
13.3%
& 3
 
5.0%
) 2
 
3.3%
e 2
 
3.3%
( 2
 
3.3%
L 1
 
1.7%
J 1
 
1.7%

의료기관종별
Categorical

Distinct7
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
치과의원
87 
의원
41 
종합병원
16 
병원
 
8
요양병원(일반요양병원)
 
6
Other values (2)
 
3

Length

Max length12
Median length4
Mean length3.6770186
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
치과의원 87
54.0%
의원 41
25.5%
종합병원 16
 
9.9%
병원 8
 
5.0%
요양병원(일반요양병원) 6
 
3.7%
보건소 2
 
1.2%
한방병원 1
 
0.6%

Length

2023-12-11T01:54:52.513443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:54:52.659829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과의원 87
54.0%
의원 41
25.5%
종합병원 16
 
9.9%
병원 8
 
5.0%
요양병원(일반요양병원 6
 
3.7%
보건소 2
 
1.2%
한방병원 1
 
0.6%

의료기관주소(도로명)
Text

Distinct62
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:54:52.959651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length26.21118
Min length22

Characters and Unicode

Total characters4220
Distinct characters70
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

Unique15 ?
Unique (%)9.3%

Sample

1st row부산광역시 중구 중앙대로29번길 4 (중앙동1가)
2nd row부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
3rd row부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
4th row부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
5th row부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
ValueCountFrequency (%)
부산광역시 161
18.7%
중구 161
18.7%
구덕로 46
 
5.4%
대청로 29
 
3.4%
중구로 27
 
3.1%
남포동6가 27
 
3.1%
121 16
 
1.9%
대청동4가 16
 
1.9%
90 15
 
1.7%
중앙대로 14
 
1.6%
Other values (101) 347
40.4%
2023-12-11T01:54:53.503643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
698
 
16.5%
구 236
 
5.6%
중 229
 
5.4%
광 198
 
4.7%
부 180
 
4.3%
동 167
 
4.0%
산 163
 
3.9%
( 163
 
3.9%
) 163
 
3.9%
역 161
 
3.8%
Other values (60) 1862
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2437
57.7%
Space Separator 698
 
16.5%
Decimal Number 639
 
15.1%
Open Punctuation 163
 
3.9%
Close Punctuation 163
 
3.9%
Other Punctuation 78
 
1.8%
Dash Punctuation 32
 
0.8%
Math Symbol 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 236
 
9.7%
중 229
 
9.4%
광 198
 
8.1%
부 180
 
7.4%
동 167
 
6.9%
산 163
 
6.7%
역 161
 
6.6%
시 161
 
6.6%
로 160
 
6.6%
가 157
 
6.4%
Other values (44) 625
25.6%
Decimal Number
ValueCountFrequency (%)
1 157
24.6%
2 84
13.1%
4 74
11.6%
5 63
9.9%
3 55
 
8.6%
0 48
 
7.5%
9 47
 
7.4%
6 47
 
7.4%
7 35
 
5.5%
8 29
 
4.5%
Space Separator
ValueCountFrequency (%)
698
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%
Other Punctuation
ValueCountFrequency (%)
, 78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2437
57.7%
Common 1783
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 236
 
9.7%
중 229
 
9.4%
광 198
 
8.1%
부 180
 
7.4%
동 167
 
6.9%
산 163
 
6.7%
역 161
 
6.6%
시 161
 
6.6%
로 160
 
6.6%
가 157
 
6.4%
Other values (44) 625
25.6%
Common
ValueCountFrequency (%)
698
39.1%
( 163
 
9.1%
) 163
 
9.1%
1 157
 
8.8%
2 84
 
4.7%
, 78
 
4.4%
4 74
 
4.2%
5 63
 
3.5%
3 55
 
3.1%
0 48
 
2.7%
Other values (6) 200
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2437
57.7%
ASCII 1783
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
698
39.1%
( 163
 
9.1%
) 163
 
9.1%
1 157
 
8.8%
2 84
 
4.7%
, 78
 
4.4%
4 74
 
4.2%
5 63
 
3.5%
3 55
 
3.1%
0 48
 
2.7%
Other values (6) 200
 
11.2%
Hangul
ValueCountFrequency (%)
구 236
 
9.7%
중 229
 
9.4%
광 198
 
8.1%
부 180
 
7.4%
동 167
 
6.9%
산 163
 
6.7%
역 161
 
6.6%
시 161
 
6.6%
로 160
 
6.6%
가 157
 
6.4%
Other values (44) 625
25.6%

Correlations

2023-12-11T01:54:53.661640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치명칭장치형식명의료기관명의료기관종별의료기관주소(도로명)
장치명칭1.0000.9930.4440.5390.472
장치형식명0.9931.0000.0000.8560.000
의료기관명0.4440.0001.0001.0001.000
의료기관종별0.5390.8561.0001.0000.999
의료기관주소(도로명)0.4720.0001.0000.9991.000
2023-12-11T01:54:53.799199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별장치명칭
의료기관종별1.0000.293
장치명칭0.2931.000
2023-12-11T01:54:53.896056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치명칭의료기관종별
장치명칭1.0000.293
의료기관종별0.2931.000

Missing values

2023-12-11T01:54:49.018029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:54:49.153292image/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

장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관주소(도로명)
0전산화 단층 촬영장치PHT-35LHSCBCT(P)-16-99자연치과의원치과의원부산광역시 중구 중앙대로29번길 4 (중앙동1가)
1전산화 단층 촬영장치ICT-R02-1TCBCT(P)-12-100강남성모치과의원치과의원부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
2전산화 단층 촬영장치ICT-R02-1TCBCT(P)-12-100강남성모치과의원치과의원부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
3진단용 엑스선 발생기REMEX-T100HR-2-70강남성모치과의원치과의원부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
4진단용 엑스선 발생기REMEX-T100HR-2-70강남성모치과의원치과의원부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
5전산화 단층 촬영장치CS 8200 3DCBCT(P)-15-90유디남포치과의원치과의원부산광역시 중구 구덕로 74-1, 2,4,5층 (남포동6가)
6진단용 엑스선 장치FOREXIA-H3R-500-125장진석내과의원의원부산광역시 중구 구덕로 5, 3,4,5층 (남포동1가)
7진단용 엑스선 발생기Horizon CiBHR-10-140장진석내과의원의원부산광역시 중구 구덕로 5, 3,4,5층 (남포동1가)
8진단용 엑스선 장치REX-525RR-500-125위앤미의원의원부산광역시 중구 구덕로22번길 3, 2,3,4층 (남포동2가)
9전산화 단층 촬영장치PAPAYA 3D PremiumCBCT(C)-12-90이지숨 이비인후과의원의원부산광역시 중구 구덕로 40 (남포동2가)
장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관주소(도로명)
151치과진단용 엑스선 발생장치D-60-SD-10-60노블리안치과의원치과의원부산광역시 중구 중앙대로 80 (중앙동4가)
152치과진단용 엑스선 발생장치SEARCHER 70 DX-073D-10-70최태수치과의원치과의원부산광역시 중구 대청로 83 (대청동3가)
153치과진단용 엑스선 발생장치제우스 ZEUSD-10-60홍길선치과의원치과의원부산광역시 중구 대청로 54 (부평동2가)
154치과진단용 엑스선 발생장치MAX-GLSD-10-60김양희치과의원치과의원부산광역시 중구 대영로 219 (영주동)
155진단용 엑스선 장치UD150L-30ERF-630-150부산헬스케어의원의원부산광역시 중구 충장대로 7 (중앙동4가)
156유방촬영용장치SENOGRAPHEDMR+MHR-100-49부산헬스케어의원의원부산광역시 중구 충장대로 7 (중앙동4가)
157진단용 엑스선 발생기DPX ALPHABHR-4.75-76지창준내과의원의원부산광역시 중구 대청로 124 (대청동1가)
158치과진단용 엑스선 발생장치MAX-GLSD-10-60재단법인천주교부산교구유지재단 메리놀병원종합병원부산광역시 중구 중구로 121 (대청동4가)
159진단용 엑스선 장치DA-100R-100-100신윤원내과의원의원부산광역시 중구 대영로 213 (영주동)
160진단용 엑스선 장치XED150LRF-500-150재단법인천주교부산교구유지재단 메리놀병원종합병원부산광역시 중구 중구로 121 (대청동4가)

Duplicate rows

Most frequently occurring

장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관주소(도로명)# duplicates
0전산화 단층 촬영장치CS 8200 3DCBCT(P)-15-90유디남포치과의원치과의원부산광역시 중구 구덕로 74-1, 2,4,5층 (남포동6가)2
1전산화 단층 촬영장치ICT-R02-1TCBCT(P)-12-100강남성모치과의원치과의원부산광역시 중구 구덕로 5, 8,9층 (남포동1가)2
2진단용 엑스선 발생기PROSTARHRF-20-110건강만세365병원병원부산광역시 중구 대청로 105, 건강만세365병원 -1,1~9층 (대청동2가)2
3진단용 엑스선 발생기REMEX-T100HR-2-70강남성모치과의원치과의원부산광역시 중구 구덕로 5, 8,9층 (남포동1가)2
4진단용 엑스선 발생기REXTARHR-2-70유디남포치과의원치과의원부산광역시 중구 구덕로 74-1, 2,4,5층 (남포동6가)2
5진단용 엑스선 장치AccuRay D6R-630-150건강만세365병원병원부산광역시 중구 대청로 105, 건강만세365병원 -1,1~9층 (대청동2가)2
6진단용 엑스선 장치FLEXAVISION FDRF-630-150부산헬스케어의원의원부산광역시 중구 충장대로 7 (중앙동4가)2