Overview

Dataset statistics

Number of variables6
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows10
Duplicate rows (%)6.2%
Total size in memory7.7 KiB
Average record size in memory48.8 B

Variable types

Categorical2
Text4

Dataset

Description부산광역시 중구 관내 진단용방사선발생장치에 관한 데이터로 장비명칭, 장비의용도, 장비의모델명, 의료기관 등 정보를 제공합니다.
Author부산광역시 중구
URLhttps://www.data.go.kr/data/15026394/fileData.do

Alerts

Dataset has 10 (6.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 22:28:50.445723
Analysis finished2023-12-12 22:28:51.073112
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장치명칭
Categorical

Distinct12
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
진단용 엑스선 발생기
47 
치과진단용 엑스선 발생장치
35 
진단용 엑스선 장치
35 
전산화 단층 촬영장치
32 
치과용 전산화 단층 촬영장치
 
4
Other values (7)
9 

Length

Max length15
Median length14
Mean length11.469136
Min length7

Unique

Unique6 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 47
29.0%
치과진단용 엑스선 발생장치 35
21.6%
진단용 엑스선 장치 35
21.6%
전산화 단층 촬영장치 32
19.8%
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

2023-12-13T07:28:51.147616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 117
24.7%
진단용 82
17.3%
발생기 47
9.9%
전산화 36
 
7.6%
단층 36
 
7.6%
촬영장치 36
 
7.6%
장치 36
 
7.6%
발생장치 35
 
7.4%
치과진단용 35
 
7.4%
치과용 4
 
0.8%
Other values (7) 9
 
1.9%

장치모델명
Text

Distinct103
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:28:51.474682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length21
Mean length10.246914
Min length2

Characters and Unicode

Total characters1660
Distinct characters69
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

Unique71 ?
Unique (%)43.8%

Sample

1st rowVEX-P300
2nd rowN1
3rd rowN1
4th rowT2-C-P
5th rowREMEX-K100
ValueCountFrequency (%)
3d 9
 
3.6%
pht-35lhs 8
 
3.2%
max-gls 7
 
2.8%
point 6
 
2.4%
cs 5
 
2.0%
accuray 5
 
2.0%
sig-40-525 4
 
1.6%
prostar 4
 
1.6%
max 4
 
1.6%
ict-r02-1t 4
 
1.6%
Other values (134) 195
77.7%
2023-12-13T07:28:51.884741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 104
 
6.3%
- 99
 
6.0%
89
 
5.4%
S 70
 
4.2%
X 68
 
4.1%
R 61
 
3.7%
P 60
 
3.6%
o 56
 
3.4%
A 55
 
3.3%
D 51
 
3.1%
Other values (59) 947
57.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 778
46.9%
Lowercase Letter 409
24.6%
Decimal Number 275
 
16.6%
Dash Punctuation 99
 
6.0%
Space Separator 89
 
5.4%
Other Letter 3
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 70
 
9.0%
X 68
 
8.7%
R 61
 
7.8%
P 60
 
7.7%
A 55
 
7.1%
D 51
 
6.6%
E 50
 
6.4%
T 45
 
5.8%
H 36
 
4.6%
M 36
 
4.6%
Other values (16) 246
31.6%
Lowercase Letter
ValueCountFrequency (%)
o 56
13.7%
i 41
10.0%
a 41
10.0%
t 26
 
6.4%
s 25
 
6.1%
r 25
 
6.1%
m 25
 
6.1%
n 24
 
5.9%
c 22
 
5.4%
y 22
 
5.4%
Other values (13) 102
24.9%
Decimal Number
ValueCountFrequency (%)
0 104
37.8%
5 47
17.1%
3 40
 
14.5%
2 28
 
10.2%
1 21
 
7.6%
6 14
 
5.1%
8 11
 
4.0%
4 5
 
1.8%
7 4
 
1.5%
9 1
 
0.4%
Other Letter
ValueCountFrequency (%)
제 1
33.3%
우 1
33.3%
스 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1188
71.6%
Common 469
 
28.3%
Hangul 3
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 70
 
5.9%
X 68
 
5.7%
R 61
 
5.1%
P 60
 
5.1%
o 56
 
4.7%
A 55
 
4.6%
D 51
 
4.3%
E 50
 
4.2%
T 45
 
3.8%
i 41
 
3.5%
Other values (40) 631
53.1%
Common
ValueCountFrequency (%)
0 104
22.2%
- 99
21.1%
89
19.0%
5 47
10.0%
3 40
 
8.5%
2 28
 
6.0%
1 21
 
4.5%
6 14
 
3.0%
8 11
 
2.3%
4 5
 
1.1%
Other values (6) 11
 
2.3%
Hangul
ValueCountFrequency (%)
제 1
33.3%
우 1
33.3%
스 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1656
99.8%
Hangul 3
 
0.2%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 104
 
6.3%
- 99
 
6.0%
89
 
5.4%
S 70
 
4.2%
X 68
 
4.1%
R 61
 
3.7%
P 60
 
3.6%
o 56
 
3.4%
A 55
 
3.3%
D 51
 
3.1%
Other values (55) 943
56.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Hangul
ValueCountFrequency (%)
제 1
33.3%
우 1
33.3%
스 1
33.3%

장치형식명
Text

Distinct74
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:28:52.122482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length10.308642
Min length6

Characters and Unicode

Total characters1670
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

Unique42 ?
Unique (%)25.9%

Sample

1st rowHR-2.5-65
2nd rowHR-3-70
3rd rowHR-3-70
4th rowCBCT(P)-11-95
5th rowHR-2-70
ValueCountFrequency (%)
r-500-125 13
 
8.0%
hr-2-70 9
 
5.6%
d-10-60 8
 
4.9%
hr-60-p 7
 
4.3%
cbct(p)-16-99 6
 
3.7%
cbct(p)-10-90 5
 
3.1%
cbct(p)-12-100 5
 
3.1%
dp-90-p 4
 
2.5%
cbct(p)-15-90 4
 
2.5%
d-60-p 4
 
2.5%
Other values (64) 97
59.9%
2023-12-13T07:28:52.504152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 356
21.3%
0 234
14.0%
1 147
 
8.8%
R 101
 
6.0%
P 91
 
5.4%
5 88
 
5.3%
C 80
 
4.8%
6 67
 
4.0%
H 64
 
3.8%
2 61
 
3.7%
Other values (14) 381
22.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 719
43.1%
Uppercase Letter 494
29.6%
Dash Punctuation 356
21.3%
Open Punctuation 48
 
2.9%
Close Punctuation 48
 
2.9%
Other Punctuation 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 234
32.5%
1 147
20.4%
5 88
 
12.2%
6 67
 
9.3%
2 61
 
8.5%
9 57
 
7.9%
3 31
 
4.3%
7 19
 
2.6%
4 8
 
1.1%
8 7
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
R 101
20.4%
P 91
18.4%
C 80
16.2%
H 64
13.0%
B 43
8.7%
T 41
8.3%
D 39
 
7.9%
F 29
 
5.9%
M 4
 
0.8%
W 2
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 356
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1176
70.4%
Latin 494
29.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 356
30.3%
0 234
19.9%
1 147
12.5%
5 88
 
7.5%
6 67
 
5.7%
2 61
 
5.2%
9 57
 
4.8%
( 48
 
4.1%
) 48
 
4.1%
3 31
 
2.6%
Other values (4) 39
 
3.3%
Latin
ValueCountFrequency (%)
R 101
20.4%
P 91
18.4%
C 80
16.2%
H 64
13.0%
B 43
8.7%
T 41
8.3%
D 39
 
7.9%
F 29
 
5.9%
M 4
 
0.8%
W 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 356
21.3%
0 234
14.0%
1 147
 
8.8%
R 101
 
6.0%
P 91
 
5.4%
5 88
 
5.3%
C 80
 
4.8%
6 67
 
4.0%
H 64
 
3.8%
2 61
 
3.7%
Other values (14) 381
22.8%

의료기관명
Text

Distinct70
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:28:52.759236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length9.2592593
Min length4

Characters and Unicode

Total characters1500
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

Unique21 ?
Unique (%)13.0%

Sample

1st row기본이바른치과의원
2nd row골드치과의원
3rd row골드치과의원
4th row골드치과의원
5th row강남성모치과의원
ValueCountFrequency (%)
재단법인천주교부산교구유지재단 15
 
8.1%
메리놀병원 15
 
8.1%
건강만세365병원 6
 
3.2%
유디남포치과의원 6
 
3.2%
강남성모치과의원 5
 
2.7%
기본이바른치과의원 4
 
2.2%
웰컴치과의원 4
 
2.2%
연세미래정형외과의원 4
 
2.2%
중앙치과의원 4
 
2.2%
부산헬스케어의원 4
 
2.2%
Other values (65) 119
64.0%
2023-12-13T07:28:53.173708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 163
 
10.9%
의 147
 
9.8%
과 126
 
8.4%
치 93
 
6.2%
단 38
 
2.5%
재 36
 
2.4%
교 32
 
2.1%
병 30
 
2.0%
리 28
 
1.9%
인 27
 
1.8%
Other values (147) 780
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1441
96.1%
Space Separator 24
 
1.6%
Decimal Number 24
 
1.6%
Other Punctuation 3
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 163
 
11.3%
의 147
 
10.2%
과 126
 
8.7%
치 93
 
6.5%
단 38
 
2.6%
재 36
 
2.5%
교 32
 
2.2%
병 30
 
2.1%
리 28
 
1.9%
인 27
 
1.9%
Other values (137) 721
50.0%
Decimal Number
ValueCountFrequency (%)
5 8
33.3%
6 8
33.3%
3 8
33.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1441
96.1%
Common 55
 
3.7%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 163
 
11.3%
의 147
 
10.2%
과 126
 
8.7%
치 93
 
6.5%
단 38
 
2.6%
재 36
 
2.5%
교 32
 
2.2%
병 30
 
2.1%
리 28
 
1.9%
인 27
 
1.9%
Other values (137) 721
50.0%
Common
ValueCountFrequency (%)
24
43.6%
5 8
 
14.5%
6 8
 
14.5%
3 8
 
14.5%
& 3
 
5.5%
( 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 1441
96.1%
ASCII 59
 
3.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 163
 
11.3%
의 147
 
10.2%
과 126
 
8.7%
치 93
 
6.5%
단 38
 
2.6%
재 36
 
2.5%
교 32
 
2.2%
병 30
 
2.1%
리 28
 
1.9%
인 27
 
1.9%
Other values (137) 721
50.0%
ASCII
ValueCountFrequency (%)
24
40.7%
5 8
 
13.6%
6 8
 
13.6%
3 8
 
13.6%
& 3
 
5.1%
( 2
 
3.4%
) 2
 
3.4%
e 2
 
3.4%
L 1
 
1.7%
J 1
 
1.7%

의료기관종별
Categorical

Distinct7
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
치과의원
89 
의원
42 
종합병원
15 
병원
 
8
요양병원(일반요양병원)
 
6
Other values (2)
 
2

Length

Max length12
Median length4
Mean length3.6728395
Min length2

Unique

Unique2 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
치과의원 89
54.9%
의원 42
25.9%
종합병원 15
 
9.3%
병원 8
 
4.9%
요양병원(일반요양병원) 6
 
3.7%
한방병원 1
 
0.6%
보건소 1
 
0.6%

Length

2023-12-13T07:28:53.307122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:28:53.429338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
치과의원 89
54.9%
의원 42
25.9%
종합병원 15
 
9.3%
병원 8
 
4.9%
요양병원(일반요양병원 6
 
3.7%
한방병원 1
 
0.6%
보건소 1
 
0.6%

의료기관주소(도로명)
Text

Distinct63
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:28:53.690481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length26.382716
Min length22

Characters and Unicode

Total characters4274
Distinct characters78
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

Unique18 ?
Unique (%)11.1%

Sample

1st row부산광역시 중구 광복로 93, 4층 (광복동1가)
2nd row부산광역시 중구 중구로 3, 다비치 6층 (남포동6가)
3rd row부산광역시 중구 중구로 3, 다비치 6층 (남포동6가)
4th row부산광역시 중구 중구로 3, 다비치 6층 (남포동6가)
5th row부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
ValueCountFrequency (%)
부산광역시 162
18.6%
중구 162
18.6%
구덕로 45
 
5.2%
남포동6가 30
 
3.4%
대청로 29
 
3.3%
중구로 28
 
3.2%
121 15
 
1.7%
대청동4가 15
 
1.7%
90 15
 
1.7%
중앙대로 14
 
1.6%
Other values (101) 357
40.9%
2023-12-13T07:28:54.139020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
710
 
16.6%
구 236
 
5.5%
중 230
 
5.4%
광 204
 
4.8%
부 181
 
4.2%
동 170
 
4.0%
산 164
 
3.8%
) 164
 
3.8%
( 164
 
3.8%
역 162
 
3.8%
Other values (68) 1889
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2471
57.8%
Space Separator 710
 
16.6%
Decimal Number 640
 
15.0%
Close Punctuation 164
 
3.8%
Open Punctuation 164
 
3.8%
Other Punctuation 83
 
1.9%
Dash Punctuation 32
 
0.7%
Math Symbol 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 236
 
9.6%
중 230
 
9.3%
광 204
 
8.3%
부 181
 
7.3%
동 170
 
6.9%
산 164
 
6.6%
역 162
 
6.6%
시 162
 
6.6%
로 161
 
6.5%
가 158
 
6.4%
Other values (52) 643
26.0%
Decimal Number
ValueCountFrequency (%)
1 150
23.4%
2 83
13.0%
4 71
11.1%
5 63
9.8%
3 55
 
8.6%
6 54
 
8.4%
9 50
 
7.8%
0 48
 
7.5%
7 38
 
5.9%
8 28
 
4.4%
Space Separator
ValueCountFrequency (%)
710
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Other Punctuation
ValueCountFrequency (%)
, 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2471
57.8%
Common 1803
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 236
 
9.6%
중 230
 
9.3%
광 204
 
8.3%
부 181
 
7.3%
동 170
 
6.9%
산 164
 
6.6%
역 162
 
6.6%
시 162
 
6.6%
로 161
 
6.5%
가 158
 
6.4%
Other values (52) 643
26.0%
Common
ValueCountFrequency (%)
710
39.4%
) 164
 
9.1%
( 164
 
9.1%
1 150
 
8.3%
2 83
 
4.6%
, 83
 
4.6%
4 71
 
3.9%
5 63
 
3.5%
3 55
 
3.1%
6 54
 
3.0%
Other values (6) 206
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2471
57.8%
ASCII 1803
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
710
39.4%
) 164
 
9.1%
( 164
 
9.1%
1 150
 
8.3%
2 83
 
4.6%
, 83
 
4.6%
4 71
 
3.9%
5 63
 
3.5%
3 55
 
3.1%
6 54
 
3.0%
Other values (6) 206
 
11.4%
Hangul
ValueCountFrequency (%)
구 236
 
9.6%
중 230
 
9.3%
광 204
 
8.3%
부 181
 
7.3%
동 170
 
6.9%
산 164
 
6.6%
역 162
 
6.6%
시 162
 
6.6%
로 161
 
6.5%
가 158
 
6.4%
Other values (52) 643
26.0%

Correlations

2023-12-13T07:28:54.249368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치명칭장치형식명의료기관명의료기관종별의료기관주소(도로명)
장치명칭1.0000.9970.4530.5330.479
장치형식명0.9971.0000.6510.6790.611
의료기관명0.4530.6511.0001.0001.000
의료기관종별0.5330.6791.0001.0001.000
의료기관주소(도로명)0.4790.6111.0001.0001.000
2023-12-13T07:28:54.363459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치명칭의료기관종별
장치명칭1.0000.289
의료기관종별0.2891.000
2023-12-13T07:28:54.462268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장치명칭의료기관종별
장치명칭1.0000.289
의료기관종별0.2891.000

Missing values

2023-12-13T07:28:50.909325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:28:51.029336image/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)
0진단용 엑스선 발생기VEX-P300HR-2.5-65기본이바른치과의원치과의원부산광역시 중구 광복로 93, 4층 (광복동1가)
1진단용 엑스선 발생기N1HR-3-70골드치과의원치과의원부산광역시 중구 중구로 3, 다비치 6층 (남포동6가)
2진단용 엑스선 발생기N1HR-3-70골드치과의원치과의원부산광역시 중구 중구로 3, 다비치 6층 (남포동6가)
3전산화 단층 촬영장치T2-C-PCBCT(P)-11-95골드치과의원치과의원부산광역시 중구 중구로 3, 다비치 6층 (남포동6가)
4진단용 엑스선 발생기REMEX-K100HR-2-70강남성모치과의원치과의원부산광역시 중구 구덕로 5, 8,9층 (남포동1가)
5전산화 단층 촬영장치CS 8200 3DCBCT(P)-15-90유디남포치과의원치과의원부산광역시 중구 구덕로 74-1, 2,4,5층 (남포동6가)
6치과진단용 엑스선 발생장치VEX-S300CD-3-65엄상훈치과의원치과의원부산광역시 중구 광복중앙로 37 (대청동2가)
7전산화 단층 촬영장치PHT-75CHSCBCT(PC)-16-99엄상훈치과의원치과의원부산광역시 중구 광복중앙로 37 (대청동2가)
8진단용 엑스선 장치INNOVISION-DXR-630-150(R-320-125)박재홍의원의원부산광역시 중구 해관로 30, 팬스타크루즈프라자 2층 (중앙동2가)
9전산화 단층 촬영장치PHT-75CHSCBCT(P)-16-99영신치과의원치과의원부산광역시 중구 중구로 15-1 (부평동1가)
장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관주소(도로명)
152치과진단용 엑스선 발생장치MAX-GLSD-10-60중앙치과의원치과의원부산광역시 중구 광복로 15-2 (부평동1가)
153치과진단용 엑스선 발생장치MAX-GLSD-60-P중앙치과의원치과의원부산광역시 중구 중앙대로 88 (중앙동4가)
154전산화 단층 촬영장치ImplagraphyCBCT(P)-10-90변창순치과의원치과의원부산광역시 중구 중앙대로 111 (대창동1가)
155진단용 엑스선 발생기AnyRayHR-2-60강치과의원치과의원부산광역시 중구 대청로 80 (대청동3가)
156치과진단용 엑스선 발생장치D-60-SD-10-60노블리안치과의원치과의원부산광역시 중구 중앙대로 80 (중앙동4가)
157치과진단용 엑스선 발생장치SEARCHER 70 DX-073D-10-70최태수치과의원치과의원부산광역시 중구 대청로 83 (대청동3가)
158치과진단용 엑스선 발생장치제우스 ZEUSD-10-60홍길선치과의원치과의원부산광역시 중구 대청로 54 (부평동2가)
159유방촬영용장치SENOGRAPHEDMR+MHR-100-49부산헬스케어의원의원부산광역시 중구 충장대로 7 (중앙동4가)
160치과진단용 엑스선 발생장치MAX-GLSD-10-60재단법인천주교부산교구유지재단 메리놀병원종합병원부산광역시 중구 중구로 121 (대청동4가)
161진단용 엑스선 장치DA-100R-100-100신윤원내과의원의원부산광역시 중구 대영로 213 (영주동)

Duplicate rows

Most frequently occurring

장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관주소(도로명)# duplicates
0전산화 단층 촬영장치CS 8200 3DCBCT(P)-15-90유디남포치과의원치과의원부산광역시 중구 구덕로 74-1, 2,4,5층 (남포동6가)3
1전산화 단층 촬영장치ICT-R02-1TCBCT(P)-12-100강남성모치과의원치과의원부산광역시 중구 구덕로 5, 8,9층 (남포동1가)2
2진단용 엑스선 발생기N1HR-3-70골드치과의원치과의원부산광역시 중구 중구로 3, 다비치 6층 (남포동6가)2
3진단용 엑스선 발생기PROSTARHRF-20-110건강만세365병원병원부산광역시 중구 대청로 105, 건강만세365병원 -1,1~9층 (대청동2가)2
4진단용 엑스선 발생기REMEX-T100HR-2-70강남성모치과의원치과의원부산광역시 중구 구덕로 5, 8,9층 (남포동1가)2
5진단용 엑스선 발생기REXTARHR-2-70유디남포치과의원치과의원부산광역시 중구 구덕로 74-1, 2,4,5층 (남포동6가)2
6진단용 엑스선 발생기VEX-P300HR-2.5-65기본이바른치과의원치과의원부산광역시 중구 광복로 93, 4층 (광복동1가)2
7진단용 엑스선 장치AccuRay D6R-630-150건강만세365병원병원부산광역시 중구 대청로 105, 건강만세365병원 -1,1~9층 (대청동2가)2
8진단용 엑스선 장치FLEXAVISION FDRF-630-150부산헬스케어의원의원부산광역시 중구 충장대로 7 (중앙동4가)2
9진단용 엑스선 장치GC85AR-1000-150재단법인천주교부산교구유지재단 메리놀병원종합병원부산광역시 중구 중구로 121 (대청동4가)2