Overview

Dataset statistics

Number of variables7
Number of observations176
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)2.3%
Total size in memory9.8 KiB
Average record size in memory56.8 B

Variable types

Categorical3
Text4

Dataset

Description부산광역시영도구_진단용방사선발생장치설치및운영현황_20230615
Author부산광역시 영도구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025457

Alerts

Dataset has 4 (2.3%) duplicate rowsDuplicates
장비용도 is highly overall correlated with 장치명칭High correlation
장치명칭 is highly overall correlated with 장비용도High correlation

Reproduction

Analysis started2023-12-10 16:25:03.154229
Analysis finished2023-12-10 16:25:04.030622
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

장비용도
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
일반촬영
51 
치과(구내촬영)
35 
골밀도
28 
치과
26 
투시(C-ARM)
12 
Other values (6)
24 

Length

Max length12
Median length9
Mean length5.0170455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반촬영
2nd row골밀도
3rd row골밀도
4th row일반촬영
5th row일반촬영

Common Values

ValueCountFrequency (%)
일반촬영 51
29.0%
치과(구내촬영) 35
19.9%
골밀도 28
15.9%
치과 26
14.8%
투시(C-ARM) 12
 
6.8%
유방촬영 8
 
4.5%
치과(파노라마·세팔로) 5
 
2.8%
투시(쇄석기) 4
 
2.3%
촬영 및 투시 3
 
1.7%
이비인후과 2
 
1.1%

Length

2023-12-11T01:25:04.144175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반촬영 51
28.0%
치과(구내촬영 35
19.2%
골밀도 28
15.4%
치과 26
14.3%
투시(c-arm 12
 
6.6%
유방촬영 8
 
4.4%
치과(파노라마·세팔로 5
 
2.7%
투시(쇄석기 4
 
2.2%
촬영 3
 
1.6%
3
 
1.6%
Other values (3) 7
 
3.8%

장치명칭
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
진단용 엑스선 발생기
59 
진단용 엑스선 장치
39 
전산화 단층 촬영장치
28 
치과진단용 엑스선 발생장치
22 
포터블엑스선촬영장치
 
4
Other values (15)
24 

Length

Max length19
Median length18
Mean length11.085227
Min length7

Unique

Unique10 ?
Unique (%)5.7%

Sample

1st row진단용 엑스선 장치
2nd row진단용 엑스선 발생기
3rd row진단용 엑스선 발생기
4th row진단용 엑스선 장치
5th row진단용 엑스선 장치

Common Values

ValueCountFrequency (%)
진단용 엑스선 발생기 59
33.5%
진단용 엑스선 장치 39
22.2%
전산화 단층 촬영장치 28
15.9%
치과진단용 엑스선 발생장치 22
 
12.5%
포터블엑스선촬영장치 4
 
2.3%
전신용엑스선골밀도측정기 3
 
1.7%
진단용엑스선촬영장치 3
 
1.7%
유방촬영용장치 3
 
1.7%
유방촬영 장치 3
 
1.7%
유방촬영용엑스선장치 2
 
1.1%
Other values (10) 10
 
5.7%

Length

2023-12-11T01:25:04.311856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
엑스선 120
24.9%
진단용 98
20.4%
발생기 59
12.3%
장치 42
 
8.7%
전산화 30
 
6.2%
단층 30
 
6.2%
촬영장치 30
 
6.2%
치과진단용 22
 
4.6%
발생장치 22
 
4.6%
포터블엑스선촬영장치 4
 
0.8%
Other values (15) 24
 
5.0%
Distinct105
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T01:25:04.680779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length28
Mean length9.8295455
Min length2

Characters and Unicode

Total characters1730
Distinct characters69
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)42.0%

Sample

1st rowEVA-HF525
2nd rowDEXXUM T
3rd rowDPX Bravo
4th rowAccuRay D5
5th rowDRX Compass
ValueCountFrequency (%)
dexxum 13
 
4.7%
t 13
 
4.7%
accuray 10
 
3.6%
pht-35lhs 8
 
2.9%
dpx 6
 
2.2%
bravo 6
 
2.2%
cs 5
 
1.8%
esx 5
 
1.8%
2100 5
 
1.8%
525r 5
 
1.8%
Other values (141) 199
72.4%
2023-12-11T01:25:05.160245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 108
 
6.2%
99
 
5.7%
- 94
 
5.4%
X 91
 
5.3%
S 63
 
3.6%
E 62
 
3.6%
R 60
 
3.5%
D 60
 
3.5%
5 56
 
3.2%
T 56
 
3.2%
Other values (59) 981
56.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 839
48.5%
Lowercase Letter 397
22.9%
Decimal Number 288
 
16.6%
Space Separator 99
 
5.7%
Dash Punctuation 94
 
5.4%
Other Punctuation 5
 
0.3%
Letter Number 3
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 91
 
10.8%
S 63
 
7.5%
E 62
 
7.4%
R 60
 
7.2%
D 60
 
7.2%
T 56
 
6.7%
P 51
 
6.1%
A 50
 
6.0%
M 45
 
5.4%
C 41
 
4.9%
Other values (16) 260
31.0%
Lowercase Letter
ValueCountFrequency (%)
a 47
11.8%
o 44
11.1%
i 36
 
9.1%
r 34
 
8.6%
e 28
 
7.1%
c 27
 
6.8%
u 25
 
6.3%
m 24
 
6.0%
t 24
 
6.0%
n 17
 
4.3%
Other values (14) 91
22.9%
Decimal Number
ValueCountFrequency (%)
0 108
37.5%
5 56
19.4%
3 36
 
12.5%
2 33
 
11.5%
1 23
 
8.0%
6 9
 
3.1%
4 9
 
3.1%
8 8
 
2.8%
9 4
 
1.4%
7 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
/ 2
40.0%
& 1
20.0%
Space Separator
ValueCountFrequency (%)
99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1239
71.6%
Common 491
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 91
 
7.3%
S 63
 
5.1%
E 62
 
5.0%
R 60
 
4.8%
D 60
 
4.8%
T 56
 
4.5%
P 51
 
4.1%
A 50
 
4.0%
a 47
 
3.8%
M 45
 
3.6%
Other values (41) 654
52.8%
Common
ValueCountFrequency (%)
0 108
22.0%
99
20.2%
- 94
19.1%
5 56
11.4%
3 36
 
7.3%
2 33
 
6.7%
1 23
 
4.7%
6 9
 
1.8%
4 9
 
1.8%
8 8
 
1.6%
Other values (8) 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1727
99.8%
Number Forms 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 108
 
6.3%
99
 
5.7%
- 94
 
5.4%
X 91
 
5.3%
S 63
 
3.6%
E 62
 
3.6%
R 60
 
3.5%
D 60
 
3.5%
5 56
 
3.2%
T 56
 
3.2%
Other values (58) 978
56.6%
Number Forms
ValueCountFrequency (%)
3
100.0%
Distinct81
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T01:25:05.419445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length10.267045
Min length6

Characters and Unicode

Total characters1807
Distinct characters25
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

Unique49 ?
Unique (%)27.8%

Sample

1st rowR-500-125(R-300-125)
2nd rowBHR-1.5-83
3rd rowBHR-1.5-76
4th rowR-500-125
5th rowR-1000-150
ValueCountFrequency (%)
r-500-125 27
 
15.3%
cbct(p)-16-99 8
 
4.5%
bhr-1.5-83 5
 
2.8%
cbct(p)-12-100 5
 
2.8%
hr-2-70 5
 
2.8%
d-7-60 5
 
2.8%
hrf-20-110 4
 
2.3%
d-10-60 4
 
2.3%
bhr-3-83 4
 
2.3%
bhr-1.5-76 4
 
2.3%
Other values (71) 105
59.7%
2023-12-11T01:25:05.830824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 383
21.2%
0 259
14.3%
1 187
10.3%
R 127
 
7.0%
5 124
 
6.9%
H 88
 
4.9%
2 76
 
4.2%
C 60
 
3.3%
6 58
 
3.2%
B 57
 
3.2%
Other values (15) 388
21.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 857
47.4%
Uppercase Letter 468
25.9%
Dash Punctuation 383
21.2%
Open Punctuation 40
 
2.2%
Close Punctuation 40
 
2.2%
Other Punctuation 19
 
1.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 127
27.1%
H 88
18.8%
C 60
12.8%
B 57
12.2%
P 43
 
9.2%
T 30
 
6.4%
F 27
 
5.8%
D 25
 
5.3%
M 8
 
1.7%
W 2
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 259
30.2%
1 187
21.8%
5 124
14.5%
2 76
 
8.9%
6 58
 
6.8%
3 51
 
6.0%
9 39
 
4.6%
8 26
 
3.0%
7 24
 
2.8%
4 13
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 383
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1339
74.1%
Latin 468
 
25.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 383
28.6%
0 259
19.3%
1 187
14.0%
5 124
 
9.3%
2 76
 
5.7%
6 58
 
4.3%
3 51
 
3.8%
( 40
 
3.0%
) 40
 
3.0%
9 39
 
2.9%
Other values (4) 82
 
6.1%
Latin
ValueCountFrequency (%)
R 127
27.1%
H 88
18.8%
C 60
12.8%
B 57
12.2%
P 43
 
9.2%
T 30
 
6.4%
F 27
 
5.8%
D 25
 
5.3%
M 8
 
1.7%
W 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 383
21.2%
0 259
14.3%
1 187
10.3%
R 127
 
7.0%
5 124
 
6.9%
H 88
 
4.9%
2 76
 
4.2%
C 60
 
3.3%
6 58
 
3.2%
B 57
 
3.2%
Other values (15) 388
21.5%
Distinct71
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T01:25:06.048273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length8.4147727
Min length4

Characters and Unicode

Total characters1481
Distinct characters139
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

Unique16 ?
Unique (%)9.1%

Sample

1st row맘모스의원
2nd row김도형정형외과의원
3rd row아이(i)서울병원
4th row의료법인 일혜의료재단 행복한요양병원
5th row부산광역시영도구보건소
ValueCountFrequency (%)
영도병원 17
 
7.4%
의료법인 16
 
7.0%
행도의료재단 14
 
6.1%
해동병원 14
 
6.1%
의)삼세의료재단 5
 
2.2%
몸사랑내과의원 5
 
2.2%
영도오복치과의원 4
 
1.7%
아이(i)서울병원 4
 
1.7%
영도조은치과의원 3
 
1.3%
프랜드이사랑치과의원 3
 
1.3%
Other values (75) 144
62.9%
2023-12-11T01:25:06.394871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
12.4%
176
 
11.9%
119
 
8.0%
64
 
4.3%
64
 
4.3%
53
 
3.6%
43
 
2.9%
42
 
2.8%
38
 
2.6%
30
 
2.0%
Other values (129) 669
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1401
94.6%
Space Separator 53
 
3.6%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%
Lowercase Letter 7
 
0.5%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
183
 
13.1%
176
 
12.6%
119
 
8.5%
64
 
4.6%
64
 
4.6%
43
 
3.1%
42
 
3.0%
38
 
2.7%
30
 
2.1%
25
 
1.8%
Other values (123) 617
44.0%
Lowercase Letter
ValueCountFrequency (%)
i 4
57.1%
e 3
42.9%
Space Separator
ValueCountFrequency (%)
53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1401
94.6%
Common 73
 
4.9%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
183
 
13.1%
176
 
12.6%
119
 
8.5%
64
 
4.6%
64
 
4.6%
43
 
3.1%
42
 
3.0%
38
 
2.7%
30
 
2.1%
25
 
1.8%
Other values (123) 617
44.0%
Common
ValueCountFrequency (%)
53
72.6%
) 9
 
12.3%
( 9
 
12.3%
& 2
 
2.7%
Latin
ValueCountFrequency (%)
i 4
57.1%
e 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1401
94.6%
ASCII 80
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
183
 
13.1%
176
 
12.6%
119
 
8.5%
64
 
4.6%
64
 
4.6%
43
 
3.1%
42
 
3.0%
38
 
2.7%
30
 
2.1%
25
 
1.8%
Other values (123) 617
44.0%
ASCII
ValueCountFrequency (%)
53
66.2%
) 9
 
11.2%
( 9
 
11.2%
i 4
 
5.0%
e 3
 
3.8%
& 2
 
2.5%
Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
의원
70 
치과의원
62 
종합병원
31 
요양병원(일반요양병원)
 
7
병원
 
4

Length

Max length12
Median length4
Mean length3.4659091
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의원
2nd row의원
3rd row병원
4th row요양병원(일반요양병원)
5th row보건소

Common Values

ValueCountFrequency (%)
의원 70
39.8%
치과의원 62
35.2%
종합병원 31
17.6%
요양병원(일반요양병원) 7
 
4.0%
병원 4
 
2.3%
보건소 2
 
1.1%

Length

2023-12-11T01:25:06.528312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:25:06.913059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 70
39.8%
치과의원 62
35.2%
종합병원 31
17.6%
요양병원(일반요양병원 7
 
4.0%
병원 4
 
2.3%
보건소 2
 
1.1%
Distinct71
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T01:25:07.179228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length38
Mean length28.863636
Min length22

Characters and Unicode

Total characters5080
Distinct characters100
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

Unique16 ?
Unique (%)9.1%

Sample

1st row부산광역시 영도구 태종로 325-1, 1층 (청학동)
2nd row부산광역시 영도구 동삼로 64, 3층 (동삼동, 농협)
3rd row부산광역시 영도구 영선대로 75, 삼호빌딩 (영선동2가)
4th row부산광역시 영도구 태종로372번길 41 (청학동)
5th row부산광역시 영도구 태종로 423 (청학동)
ValueCountFrequency (%)
부산광역시 176
17.0%
영도구 176
17.0%
태종로 87
 
8.4%
대교동2가 48
 
4.6%
동삼동 41
 
4.0%
동삼로 30
 
2.9%
봉래동3가 24
 
2.3%
청학동 20
 
1.9%
절영로 18
 
1.7%
85 17
 
1.6%
Other values (114) 396
38.3%
2023-12-11T01:25:07.650812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
857
 
16.9%
251
 
4.9%
226
 
4.4%
190
 
3.7%
182
 
3.6%
( 181
 
3.6%
) 181
 
3.6%
178
 
3.5%
178
 
3.5%
176
 
3.5%
Other values (90) 2480
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2999
59.0%
Space Separator 857
 
16.9%
Decimal Number 705
 
13.9%
Open Punctuation 181
 
3.6%
Close Punctuation 181
 
3.6%
Other Punctuation 144
 
2.8%
Dash Punctuation 9
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
251
 
8.4%
226
 
7.5%
190
 
6.3%
182
 
6.1%
178
 
5.9%
178
 
5.9%
176
 
5.9%
176
 
5.9%
176
 
5.9%
171
 
5.7%
Other values (73) 1095
36.5%
Decimal Number
ValueCountFrequency (%)
2 153
21.7%
3 144
20.4%
1 102
14.5%
5 71
10.1%
4 49
 
7.0%
9 48
 
6.8%
0 48
 
6.8%
6 40
 
5.7%
8 27
 
3.8%
7 23
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 140
97.2%
. 4
 
2.8%
Space Separator
ValueCountFrequency (%)
857
100.0%
Open Punctuation
ValueCountFrequency (%)
( 181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2999
59.0%
Common 2081
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
251
 
8.4%
226
 
7.5%
190
 
6.3%
182
 
6.1%
178
 
5.9%
178
 
5.9%
176
 
5.9%
176
 
5.9%
176
 
5.9%
171
 
5.7%
Other values (73) 1095
36.5%
Common
ValueCountFrequency (%)
857
41.2%
( 181
 
8.7%
) 181
 
8.7%
2 153
 
7.4%
3 144
 
6.9%
, 140
 
6.7%
1 102
 
4.9%
5 71
 
3.4%
4 49
 
2.4%
9 48
 
2.3%
Other values (7) 155
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2999
59.0%
ASCII 2081
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
857
41.2%
( 181
 
8.7%
) 181
 
8.7%
2 153
 
7.4%
3 144
 
6.9%
, 140
 
6.7%
1 102
 
4.9%
5 71
 
3.4%
4 49
 
2.4%
9 48
 
2.3%
Other values (7) 155
 
7.4%
Hangul
ValueCountFrequency (%)
251
 
8.4%
226
 
7.5%
190
 
6.3%
182
 
6.1%
178
 
5.9%
178
 
5.9%
176
 
5.9%
176
 
5.9%
176
 
5.9%
171
 
5.7%
Other values (73) 1095
36.5%

Correlations

2023-12-11T01:25:07.762623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비용도장치명칭장치형식명의료기관명의료기관종별의료기관주소(도로명)
장비용도1.0000.8881.0000.0000.6660.000
장치명칭0.8881.0000.9780.0000.4490.000
장치형식명1.0000.9781.0000.0000.8390.000
의료기관명0.0000.0000.0001.0001.0001.000
의료기관종별0.6660.4490.8391.0001.0001.000
의료기관주소(도로명)0.0000.0000.0001.0001.0001.000
2023-12-11T01:25:07.876791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비용도장치명칭의료기관종별
장비용도1.0000.5720.414
장치명칭0.5721.0000.216
의료기관종별0.4140.2161.000
2023-12-11T01:25:08.006622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비용도장치명칭의료기관종별
장비용도1.0000.5720.414
장치명칭0.5721.0000.216
의료기관종별0.4140.2161.000

Missing values

2023-12-11T01:25:03.789919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:25:03.962774image/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

장비용도장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관주소(도로명)
0일반촬영진단용 엑스선 장치EVA-HF525R-500-125(R-300-125)맘모스의원의원부산광역시 영도구 태종로 325-1, 1층 (청학동)
1골밀도진단용 엑스선 발생기DEXXUM TBHR-1.5-83김도형정형외과의원의원부산광역시 영도구 동삼로 64, 3층 (동삼동, 농협)
2골밀도진단용 엑스선 발생기DPX BravoBHR-1.5-76아이(i)서울병원병원부산광역시 영도구 영선대로 75, 삼호빌딩 (영선동2가)
3일반촬영진단용 엑스선 장치AccuRay D5R-500-125의료법인 일혜의료재단 행복한요양병원요양병원(일반요양병원)부산광역시 영도구 태종로372번길 41 (청학동)
4일반촬영진단용 엑스선 장치DRX CompassR-1000-150부산광역시영도구보건소보건소부산광역시 영도구 태종로 423 (청학동)
5골밀도진단용 엑스선 발생기DEXXUM T QuantumBHR-3-83영도서울튼튼정형외과의원의원부산광역시 영도구 동삼로 56, 한나타워 401호 (동삼동)
6투시(C-ARM)진단용 엑스선 발생기PROSTARHRF-20-110영도서울튼튼정형외과의원의원부산광역시 영도구 동삼로 56, 한나타워 401호 (동삼동)
7일반촬영진단용 엑스선 장치AccuRay D5R-500-125영도서울튼튼정형외과의원의원부산광역시 영도구 동삼로 56, 한나타워 401호 (동삼동)
8치과(구내촬영)진단용 엑스선 발생기N1HR-3-70미&플란트치과의원치과의원부산광역시 영도구 태종로 372 (청학동)
9치과전산화 단층 촬영장치T2-CCBCT(P)-12-100미&플란트치과의원치과의원부산광역시 영도구 태종로 372 (청학동)
장비용도장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관주소(도로명)
166일반촬영진단용 엑스선 장치AC-30R-300-100영도의원의원부산광역시 영도구 태종로 370 (청학동)
167골밀도진단용 엑스선 발생기DPX-NTBHR-76-P영도병원종합병원부산광역시 영도구 태종로 85 (대교동2가)
168일반촬영이동형엑스선장치MUX-10HR-160-125의료법인 행도의료재단 해동병원종합병원부산광역시 영도구 태종로 133 (봉래동3가)
169치과(구내촬영)치과진단용 엑스선 발생장치MAX-GLSD-10-60현대치과의원치과의원부산광역시 영도구 태종로 106 (대교동2가)
170일반촬영진단용 엑스선 장치DK-525RR-500-125영도병원종합병원부산광역시 영도구 태종로 85 (대교동2가)
171일반촬영진단용 엑스선 장치R-300-100/ASA 300R-RR-300-100한가족 내과신경외과의원의원부산광역시 영도구 와치로 252, 선프라자2층 (동삼동)
172일반촬영진단용 엑스선 발생기MU125MHR-400-125영도병원종합병원부산광역시 영도구 태종로 85 (대교동2가)
173투시(쇄석기)진단용 엑스선 발생기COMPACT SHF-65-110의료법인 행도의료재단 해동병원종합병원부산광역시 영도구 태종로 133 (봉래동3가)
174일반촬영진단용 엑스선 장치AC-10R-100-100강남의원의원부산광역시 영도구 꿈나무길 183 (영선동2가)
175촬영 및 투시진단용 엑스선 장치KXO-50NRF-640-150의료법인 행도의료재단 해동병원종합병원부산광역시 영도구 태종로 133 (봉래동3가)

Duplicate rows

Most frequently occurring

장비용도장치명칭장치모델명장치형식명의료기관명의료기관종별의료기관주소(도로명)# duplicates
0일반촬영진단용 엑스선 장치CXD-RD85DⅡR-800-150의료법인 행도의료재단 해동병원종합병원부산광역시 영도구 태종로 133 (봉래동3가)2
1치과전산화 단층 촬영장치PHT-30LFOCBCT(P)-16-99영도오복치과의원치과의원부산광역시 영도구 태종로 99, 2~3층 (대교동2가)2
2치과(구내촬영)진단용 엑스선 발생기XcamHR-2-70보스톤화이트e치과의원치과의원부산광역시 영도구 절영로 30, 3층 (대교동1가, 삼세메디컬센터)2
3투시(C-ARM)진단용 엑스선 발생기Brivo OEC 785HRF-20-110(HF-12-110)의료법인 행도의료재단 해동병원종합병원부산광역시 영도구 태종로 133 (봉래동3가)2