Overview

Dataset statistics

Number of variables6
Number of observations400
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description부산광역시_금정구_진단용방사선발생장치설치및운영현황_20230922
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025846

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:48:09.951977
Analysis finished2023-12-10 16:48:10.810280
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct400
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.5
Minimum1
Maximum400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-11T01:48:10.926320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.95
Q1100.75
median200.5
Q3300.25
95-th percentile380.05
Maximum400
Range399
Interquartile range (IQR)199.5

Descriptive statistics

Standard deviation115.6143
Coefficient of variation (CV)0.57662993
Kurtosis-1.2
Mean200.5
Median Absolute Deviation (MAD)100
Skewness0
Sum80200
Variance13366.667
MonotonicityStrictly increasing
2023-12-11T01:48:11.153121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
265 1
 
0.2%
275 1
 
0.2%
274 1
 
0.2%
273 1
 
0.2%
272 1
 
0.2%
271 1
 
0.2%
270 1
 
0.2%
269 1
 
0.2%
268 1
 
0.2%
Other values (390) 390
97.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
400 1
0.2%
399 1
0.2%
398 1
0.2%
397 1
0.2%
396 1
0.2%
395 1
0.2%
394 1
0.2%
393 1
0.2%
392 1
0.2%
391 1
0.2%

장치모델명
Text

Distinct185
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-11T01:48:11.636932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length26
Mean length9.3675
Min length2

Characters and Unicode

Total characters3747
Distinct characters73
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)28.0%

Sample

1st rowSenographe DS
2nd rowPinkview-BT
3rd rowFOREXIA-H3
4th rowEcoRAD-503T-CA
5th rowMobiRAD 50
ValueCountFrequency (%)
pht-35lhs 20
 
3.4%
accuray 19
 
3.3%
t 18
 
3.1%
dexxum 18
 
3.1%
esx 12
 
2.1%
3d 12
 
2.1%
point 11
 
1.9%
osteopro 11
 
1.9%
zen-2090 11
 
1.9%
525r 11
 
1.9%
Other values (229) 441
75.5%
2023-12-11T01:48:12.313056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 256
 
6.8%
0 227
 
6.1%
184
 
4.9%
X 184
 
4.9%
R 171
 
4.6%
S 160
 
4.3%
5 143
 
3.8%
E 139
 
3.7%
P 138
 
3.7%
D 137
 
3.7%
Other values (63) 2008
53.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1837
49.0%
Lowercase Letter 782
20.9%
Decimal Number 651
 
17.4%
Dash Punctuation 256
 
6.8%
Space Separator 184
 
4.9%
Other Letter 12
 
0.3%
Other Punctuation 6
 
0.2%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Letter Number 5
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 184
 
10.0%
R 171
 
9.3%
S 160
 
8.7%
E 139
 
7.6%
P 138
 
7.5%
D 137
 
7.5%
A 131
 
7.1%
T 118
 
6.4%
H 90
 
4.9%
M 73
 
4.0%
Other values (16) 496
27.0%
Lowercase Letter
ValueCountFrequency (%)
o 106
13.6%
i 82
10.5%
a 62
 
7.9%
c 58
 
7.4%
r 55
 
7.0%
t 54
 
6.9%
e 48
 
6.1%
n 47
 
6.0%
u 39
 
5.0%
y 36
 
4.6%
Other values (15) 195
24.9%
Decimal Number
ValueCountFrequency (%)
0 227
34.9%
5 143
22.0%
3 92
14.1%
2 65
 
10.0%
6 39
 
6.0%
1 39
 
6.0%
9 15
 
2.3%
4 13
 
2.0%
7 9
 
1.4%
8 9
 
1.4%
Other Letter
ValueCountFrequency (%)
스 4
33.3%
우 4
33.3%
제 4
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 4
66.7%
& 1
 
16.7%
: 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Space Separator
ValueCountFrequency (%)
184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2621
69.9%
Common 1111
29.7%
Hangul 12
 
0.3%
Greek 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 184
 
7.0%
R 171
 
6.5%
S 160
 
6.1%
E 139
 
5.3%
P 138
 
5.3%
D 137
 
5.2%
A 131
 
5.0%
T 118
 
4.5%
o 106
 
4.0%
H 90
 
3.4%
Other values (41) 1247
47.6%
Common
ValueCountFrequency (%)
- 256
23.0%
0 227
20.4%
184
16.6%
5 143
12.9%
3 92
 
8.3%
2 65
 
5.9%
6 39
 
3.5%
1 39
 
3.5%
9 15
 
1.4%
4 13
 
1.2%
Other values (8) 38
 
3.4%
Hangul
ValueCountFrequency (%)
스 4
33.3%
우 4
33.3%
제 4
33.3%
Greek
ValueCountFrequency (%)
α 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3727
99.5%
Hangul 12
 
0.3%
Number Forms 5
 
0.1%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 256
 
6.9%
0 227
 
6.1%
184
 
4.9%
X 184
 
4.9%
R 171
 
4.6%
S 160
 
4.3%
5 143
 
3.8%
E 139
 
3.7%
P 138
 
3.7%
D 137
 
3.7%
Other values (58) 1988
53.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
Hangul
ValueCountFrequency (%)
스 4
33.3%
우 4
33.3%
제 4
33.3%
None
ValueCountFrequency (%)
α 3
100.0%

장치형식명
Text

Distinct131
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-11T01:48:12.628062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length10.12
Min length6

Characters and Unicode

Total characters4048
Distinct characters27
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

Unique70 ?
Unique (%)17.5%

Sample

1st rowMHR-100-49
2nd rowMHR-100-35
3rd rowR-500-125
4th rowR-630-150
5th rowHR-100-110
ValueCountFrequency (%)
r-500-125 40
 
10.0%
cbct(p)-16-99 24
 
6.0%
hr-2-60 20
 
5.0%
d-10-60 16
 
4.0%
d-5-65 9
 
2.2%
hrf-20-110 9
 
2.2%
bhr-1.5-83 9
 
2.2%
r-300-125 8
 
2.0%
r-630-150 8
 
2.0%
hr-2-70 8
 
2.0%
Other values (121) 249
62.3%
2023-12-11T01:48:13.070028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 858
21.2%
0 583
14.4%
1 379
9.4%
R 251
 
6.2%
5 232
 
5.7%
C 184
 
4.5%
H 170
 
4.2%
2 157
 
3.9%
6 154
 
3.8%
P 141
 
3.5%
Other values (17) 939
23.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1837
45.4%
Uppercase Letter 1116
27.6%
Dash Punctuation 858
21.2%
Close Punctuation 101
 
2.5%
Open Punctuation 101
 
2.5%
Other Punctuation 35
 
0.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 251
22.5%
C 184
16.5%
H 170
15.2%
P 141
12.6%
B 118
10.6%
T 90
 
8.1%
D 77
 
6.9%
F 54
 
4.8%
M 18
 
1.6%
W 8
 
0.7%
Other values (3) 5
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 583
31.7%
1 379
20.6%
5 232
 
12.6%
2 157
 
8.5%
6 154
 
8.4%
9 121
 
6.6%
3 96
 
5.2%
8 48
 
2.6%
7 37
 
2.0%
4 30
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 858
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Other Punctuation
ValueCountFrequency (%)
. 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2932
72.4%
Latin 1116
 
27.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 858
29.3%
0 583
19.9%
1 379
12.9%
5 232
 
7.9%
2 157
 
5.4%
6 154
 
5.3%
9 121
 
4.1%
) 101
 
3.4%
( 101
 
3.4%
3 96
 
3.3%
Other values (4) 150
 
5.1%
Latin
ValueCountFrequency (%)
R 251
22.5%
C 184
16.5%
H 170
15.2%
P 141
12.6%
B 118
10.6%
T 90
 
8.1%
D 77
 
6.9%
F 54
 
4.8%
M 18
 
1.6%
W 8
 
0.7%
Other values (3) 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4048
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 858
21.2%
0 583
14.4%
1 379
9.4%
R 251
 
6.2%
5 232
 
5.7%
C 184
 
4.5%
H 170
 
4.2%
2 157
 
3.9%
6 154
 
3.8%
P 141
 
3.5%
Other values (17) 939
23.2%

의료기관명
Text

Distinct185
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-11T01:48:13.308869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length8.135
Min length3

Characters and Unicode

Total characters3254
Distinct characters229
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)11.0%

Sample

1st row의료법인아너의료재단 아름다운강산병원
2nd row단골병원
3rd row단골병원
4th row의료법인아너의료재단 아름다운강산병원
5th row의료법인아너의료재단 아름다운강산병원
ValueCountFrequency (%)
세웅병원 10
 
2.2%
아름다운강산병원 8
 
1.7%
단골병원 8
 
1.7%
의료법인아너의료재단 8
 
1.7%
새우리남산병원 7
 
1.5%
서울 7
 
1.5%
지온병원 7
 
1.5%
의료법인 6
 
1.3%
순병원 5
 
1.1%
지온 5
 
1.1%
Other values (193) 387
84.5%
2023-12-11T01:48:13.650353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 407
 
12.5%
의 378
 
11.6%
과 347
 
10.7%
치 204
 
6.3%
병 83
 
2.6%
60
 
1.8%
정 60
 
1.8%
내 51
 
1.6%
산 49
 
1.5%
외 49
 
1.5%
Other values (219) 1566
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3174
97.5%
Space Separator 60
 
1.8%
Other Punctuation 10
 
0.3%
Uppercase Letter 6
 
0.2%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 407
 
12.8%
의 378
 
11.9%
과 347
 
10.9%
치 204
 
6.4%
병 83
 
2.6%
정 60
 
1.9%
내 51
 
1.6%
산 49
 
1.5%
외 49
 
1.5%
료 40
 
1.3%
Other values (212) 1506
47.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
H 2
33.3%
B 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 7
70.0%
· 3
30.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3172
97.5%
Common 74
 
2.3%
Latin 6
 
0.2%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 407
 
12.8%
의 378
 
11.9%
과 347
 
10.9%
치 204
 
6.4%
병 83
 
2.6%
정 60
 
1.9%
내 51
 
1.6%
산 49
 
1.5%
외 49
 
1.5%
료 40
 
1.3%
Other values (211) 1504
47.4%
Common
ValueCountFrequency (%)
60
81.1%
, 7
 
9.5%
) 4
 
5.4%
· 3
 
4.1%
Latin
ValueCountFrequency (%)
S 2
33.3%
H 2
33.3%
B 2
33.3%
Han
ValueCountFrequency (%)
美 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3172
97.5%
ASCII 77
 
2.4%
None 3
 
0.1%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 407
 
12.8%
의 378
 
11.9%
과 347
 
10.9%
치 204
 
6.4%
병 83
 
2.6%
정 60
 
1.9%
내 51
 
1.6%
산 49
 
1.5%
외 49
 
1.5%
료 40
 
1.3%
Other values (211) 1504
47.4%
ASCII
ValueCountFrequency (%)
60
77.9%
, 7
 
9.1%
) 4
 
5.2%
S 2
 
2.6%
H 2
 
2.6%
B 2
 
2.6%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
美 2
100.0%

의료기관주소(도로명)
Text

Distinct181
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-11T01:48:13.916719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length29.3475
Min length21

Characters and Unicode

Total characters11739
Distinct characters139
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)10.2%

Sample

1st row부산광역시 금정구 공단로 7 (금사동)
2nd row부산광역시 금정구 중앙대로 1829, 5~10, 14층 12~13층 일부호 (구서동)
3rd row부산광역시 금정구 중앙대로 1829, 5~10, 14층 12~13층 일부호 (구서동)
4th row부산광역시 금정구 공단로 7 (금사동)
5th row부산광역시 금정구 공단로 7 (금사동)
ValueCountFrequency (%)
부산광역시 400
16.5%
금정구 400
16.5%
구서동 124
 
5.1%
중앙대로 116
 
4.8%
2층 92
 
3.8%
부곡동 84
 
3.5%
장전동 63
 
2.6%
남산동 56
 
2.3%
3층 49
 
2.0%
금강로 48
 
2.0%
Other values (245) 989
40.9%
2023-12-11T01:48:14.335046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2021
 
17.2%
구 562
 
4.8%
부 523
 
4.5%
금 507
 
4.3%
산 467
 
4.0%
1 462
 
3.9%
동 457
 
3.9%
정 433
 
3.7%
광 405
 
3.5%
시 404
 
3.4%
Other values (129) 5498
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6663
56.8%
Space Separator 2021
 
17.2%
Decimal Number 1800
 
15.3%
Close Punctuation 403
 
3.4%
Open Punctuation 403
 
3.4%
Other Punctuation 368
 
3.1%
Math Symbol 34
 
0.3%
Dash Punctuation 29
 
0.2%
Uppercase Letter 10
 
0.1%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 562
 
8.4%
부 523
 
7.8%
금 507
 
7.6%
산 467
 
7.0%
동 457
 
6.9%
정 433
 
6.5%
광 405
 
6.1%
시 404
 
6.1%
역 403
 
6.0%
로 399
 
6.0%
Other values (104) 2103
31.6%
Decimal Number
ValueCountFrequency (%)
1 462
25.7%
2 353
19.6%
3 183
 
10.2%
4 148
 
8.2%
5 140
 
7.8%
0 124
 
6.9%
9 123
 
6.8%
7 112
 
6.2%
6 89
 
4.9%
8 66
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
v 2
25.0%
i 2
25.0%
e 2
25.0%
w 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 363
98.6%
. 3
 
0.8%
@ 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
K 5
50.0%
B 3
30.0%
S 2
 
20.0%
Space Separator
ValueCountFrequency (%)
2021
100.0%
Close Punctuation
ValueCountFrequency (%)
) 403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 403
100.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6663
56.8%
Common 5058
43.1%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 562
 
8.4%
부 523
 
7.8%
금 507
 
7.6%
산 467
 
7.0%
동 457
 
6.9%
정 433
 
6.5%
광 405
 
6.1%
시 404
 
6.1%
역 403
 
6.0%
로 399
 
6.0%
Other values (104) 2103
31.6%
Common
ValueCountFrequency (%)
2021
40.0%
1 462
 
9.1%
) 403
 
8.0%
( 403
 
8.0%
, 363
 
7.2%
2 353
 
7.0%
3 183
 
3.6%
4 148
 
2.9%
5 140
 
2.8%
0 124
 
2.5%
Other values (8) 458
 
9.1%
Latin
ValueCountFrequency (%)
K 5
27.8%
B 3
16.7%
S 2
 
11.1%
v 2
 
11.1%
i 2
 
11.1%
e 2
 
11.1%
w 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6663
56.8%
ASCII 5076
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2021
39.8%
1 462
 
9.1%
) 403
 
7.9%
( 403
 
7.9%
, 363
 
7.2%
2 353
 
7.0%
3 183
 
3.6%
4 148
 
2.9%
5 140
 
2.8%
0 124
 
2.4%
Other values (15) 476
 
9.4%
Hangul
ValueCountFrequency (%)
구 562
 
8.4%
부 523
 
7.8%
금 507
 
7.6%
산 467
 
7.0%
동 457
 
6.9%
정 433
 
6.5%
광 405
 
6.1%
시 404
 
6.1%
역 403
 
6.0%
로 399
 
6.0%
Other values (104) 2103
31.6%

정비검사일자
Date

Distinct224
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2019-10-10 00:00:00
Maximum2022-09-06 00:00:00
2023-12-11T01:48:14.478774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:48:14.614825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T01:48:10.382218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T01:48:10.584719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:48:10.749349image/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

번호장치모델명장치형식명의료기관명의료기관주소(도로명)정비검사일자
01Senographe DSMHR-100-49의료법인아너의료재단 아름다운강산병원부산광역시 금정구 공단로 7 (금사동)2022-09-01
12Pinkview-BTMHR-100-35단골병원부산광역시 금정구 중앙대로 1829, 5~10, 14층 12~13층 일부호 (구서동)2022-09-01
23FOREXIA-H3R-500-125단골병원부산광역시 금정구 중앙대로 1829, 5~10, 14층 12~13층 일부호 (구서동)2022-09-06
34EcoRAD-503T-CAR-630-150의료법인아너의료재단 아름다운강산병원부산광역시 금정구 공단로 7 (금사동)2022-08-29
45MobiRAD 50HR-100-110의료법인아너의료재단 아름다운강산병원부산광역시 금정구 공단로 7 (금사동)2022-08-29
56DEXXUM T QuantumBHR-3-83새샘내과의원부산광역시 금정구 서동로 155, 2층 (서동)2022-07-13
67PHT-65LHSCBCT(P)-16-99본치과의원부산광역시 금정구 중앙대로 1935, 3층 (구서동)2022-06-30
78VEX-S300CD-3-65김건치과의원부산광역시 금정구 구서로 17, 5층 (구서동)2022-06-10
89OSCAR ClassicHF-20-120누가정형외과재활의학과의원부산광역시 금정구 금사로 122, 1,2층 (금사동)2022-05-27
910AccuRay D6R-630-150사)대한산업보건협회 부산의원부산광역시 금정구 중앙대로 2139, 2층 (청룡동, 동아빌딩)2022-06-07
번호장치모델명장치형식명의료기관명의료기관주소(도로명)정비검사일자
390391제우스 ZEUSD-10-60동래미치과의원부산광역시 금정구 부곡로 38, 2층 (부곡동)2021-11-16
391392MCA-901HRF-40-125(HF-5-125)새우리남산병원부산광역시 금정구 중앙대로 2025 (남산동)2020-05-15
392393MCA-6100HRF-20-110(HF-4-110)보문정형외과의원부산광역시 금정구 중앙대로 1933, 1~3층 (구서동)2020-09-11
393394DXG-325R-RSR-300-125김두정정형외과의원부산광역시 금정구 부곡로 117, 2층 (부곡동)2020-12-17
394395BRS-EHR-30-100정영기내과의원부산광역시 금정구 중앙대로1985번길 1 (남산동)2021-02-05
395396DY-325R-TBS-lR-300-125다움병원부산광역시 금정구 체육공원로 608 (두구동)2019-11-21
396397Alpha STMIR-100-35남산내과·신경과병원부산광역시 금정구 중앙대로 1917 (구서동)2021-04-27
397398AC-30R-300-100성모정형외과의원부산광역시 금정구 반송로 385, 1,2층 (서동)2021-12-08
398399DA-100R-100-100김경수내과의원부산광역시 금정구 부곡로 91, 2층 (부곡동)2022-01-10
399400SERCHER DX-073D-10-70명성치과의원부산광역시 금정구 부곡로 120-1, 5층 (부곡동)2021-06-02