Overview

Dataset statistics

Number of variables6
Number of observations411
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.8 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description부산광역시 금정구 관내 진단용방사선 발생장치 설치 및 운영 현황 (의료기관명, 주소, 형식명, 모델명, 정기검사일자)입니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15025846/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:31:24.295805
Analysis finished2023-12-12 13:31:25.121131
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct411
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206
Minimum1
Maximum411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T22:31:25.211590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.5
Q1103.5
median206
Q3308.5
95-th percentile390.5
Maximum411
Range410
Interquartile range (IQR)205

Descriptive statistics

Standard deviation118.78973
Coefficient of variation (CV)0.57664918
Kurtosis-1.2
Mean206
Median Absolute Deviation (MAD)103
Skewness0
Sum84666
Variance14111
MonotonicityStrictly increasing
2023-12-12T22:31:25.360691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
272 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
275 1
 
0.2%
Other values (401) 401
97.6%
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 (%)
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%
403 1
0.2%
402 1
0.2%

장치모델명
Text

Distinct187
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:31:25.704620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length26
Mean length9.5304136
Min length2

Characters and Unicode

Total characters3917
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

Unique117 ?
Unique (%)28.5%

Sample

1st rowSIG-40-525
2nd rowPRODIGY BONE DENSITOMETER
3rd rowEXSYS Lite-051
4th rowZEN-2090 Pro
5th rowEXSys Plus
ValueCountFrequency (%)
pht-35lhs 23
 
3.8%
t 21
 
3.4%
accuray 21
 
3.4%
dexxum 21
 
3.4%
3d 16
 
2.6%
525r 12
 
2.0%
point 11
 
1.8%
zen-2090 11
 
1.8%
osteopro 11
 
1.8%
esx 10
 
1.6%
Other values (231) 454
74.3%
2023-12-12T22:31:26.295594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 264
 
6.7%
0 235
 
6.0%
200
 
5.1%
X 185
 
4.7%
R 174
 
4.4%
S 168
 
4.3%
5 153
 
3.9%
E 148
 
3.8%
P 144
 
3.7%
D 142
 
3.6%
Other values (63) 2104
53.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1924
49.1%
Lowercase Letter 809
20.7%
Decimal Number 681
 
17.4%
Dash Punctuation 264
 
6.7%
Space Separator 200
 
5.1%
Other Letter 12
 
0.3%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Other Punctuation 6
 
0.2%
Letter Number 5
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
X 185
 
9.6%
R 174
 
9.0%
S 168
 
8.7%
E 148
 
7.7%
P 144
 
7.5%
D 142
 
7.4%
A 140
 
7.3%
T 129
 
6.7%
H 96
 
5.0%
M 79
 
4.1%
Other values (16) 519
27.0%
Lowercase Letter
ValueCountFrequency (%)
o 104
12.9%
i 85
10.5%
c 64
 
7.9%
a 61
 
7.5%
r 56
 
6.9%
t 55
 
6.8%
e 54
 
6.7%
u 49
 
6.1%
n 45
 
5.6%
m 44
 
5.4%
Other values (15) 192
23.7%
Decimal Number
ValueCountFrequency (%)
0 235
34.5%
5 153
22.5%
3 93
 
13.7%
2 68
 
10.0%
1 46
 
6.8%
6 39
 
5.7%
4 16
 
2.3%
9 14
 
2.1%
8 9
 
1.3%
7 8
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 4
66.7%
& 1
 
16.7%
: 1
 
16.7%
Other Letter
ValueCountFrequency (%)
우 4
33.3%
스 4
33.3%
제 4
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2735
69.8%
Common 1167
29.8%
Hangul 12
 
0.3%
Greek 3
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
X 185
 
6.8%
R 174
 
6.4%
S 168
 
6.1%
E 148
 
5.4%
P 144
 
5.3%
D 142
 
5.2%
A 140
 
5.1%
T 129
 
4.7%
o 104
 
3.8%
H 96
 
3.5%
Other values (41) 1305
47.7%
Common
ValueCountFrequency (%)
- 264
22.6%
0 235
20.1%
200
17.1%
5 153
13.1%
3 93
 
8.0%
2 68
 
5.8%
1 46
 
3.9%
6 39
 
3.3%
4 16
 
1.4%
9 14
 
1.2%
Other values (8) 39
 
3.3%
Hangul
ValueCountFrequency (%)
우 4
33.3%
스 4
33.3%
제 4
33.3%
Greek
ValueCountFrequency (%)
α 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3897
99.5%
Hangul 12
 
0.3%
Number Forms 5
 
0.1%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 264
 
6.8%
0 235
 
6.0%
200
 
5.1%
X 185
 
4.7%
R 174
 
4.5%
S 168
 
4.3%
5 153
 
3.9%
E 148
 
3.8%
P 144
 
3.7%
D 142
 
3.6%
Other values (58) 2084
53.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
Hangul
ValueCountFrequency (%)
우 4
33.3%
스 4
33.3%
제 4
33.3%
None
ValueCountFrequency (%)
α 3
100.0%

장치형식명
Text

Distinct130
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:31:26.625911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length10.226277
Min length6

Characters and Unicode

Total characters4203
Distinct characters26
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 (%)17.0%

Sample

1st rowR-500-125(R-300-125)
2nd rowBHR-3-76
3rd rowHR-100-110
4th rowHRF-20-110
5th rowR-500-125
ValueCountFrequency (%)
r-500-125 46
 
11.2%
cbct(p)-16-99 24
 
5.8%
hr-2-60 19
 
4.6%
d-10-60 16
 
3.9%
hr-2-70 14
 
3.4%
hrf-20-110 10
 
2.4%
bhr-1.5-83 10
 
2.4%
r-630-150 9
 
2.2%
mhr-100-35 9
 
2.2%
cbct(p)-10-110 8
 
1.9%
Other values (120) 246
59.9%
2023-12-12T22:31:27.042376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 882
21.0%
0 600
14.3%
1 397
9.4%
R 263
 
6.3%
5 244
 
5.8%
C 201
 
4.8%
H 176
 
4.2%
2 174
 
4.1%
6 155
 
3.7%
P 132
 
3.1%
Other values (16) 979
23.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1920
45.7%
Uppercase Letter 1148
27.3%
Dash Punctuation 882
21.0%
Close Punctuation 109
 
2.6%
Open Punctuation 109
 
2.6%
Other Punctuation 35
 
0.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 263
22.9%
C 201
17.5%
H 176
15.3%
P 132
11.5%
B 127
11.1%
T 96
 
8.4%
D 71
 
6.2%
F 52
 
4.5%
M 19
 
1.7%
W 8
 
0.7%
Other values (2) 3
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 600
31.2%
1 397
20.7%
5 244
12.7%
2 174
 
9.1%
6 155
 
8.1%
9 124
 
6.5%
3 103
 
5.4%
8 51
 
2.7%
7 42
 
2.2%
4 30
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 882
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Other Punctuation
ValueCountFrequency (%)
. 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3055
72.7%
Latin 1148
 
27.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 882
28.9%
0 600
19.6%
1 397
13.0%
5 244
 
8.0%
2 174
 
5.7%
6 155
 
5.1%
9 124
 
4.1%
) 109
 
3.6%
( 109
 
3.6%
3 103
 
3.4%
Other values (4) 158
 
5.2%
Latin
ValueCountFrequency (%)
R 263
22.9%
C 201
17.5%
H 176
15.3%
P 132
11.5%
B 127
11.1%
T 96
 
8.4%
D 71
 
6.2%
F 52
 
4.5%
M 19
 
1.7%
W 8
 
0.7%
Other values (2) 3
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 882
21.0%
0 600
14.3%
1 397
9.4%
R 263
 
6.3%
5 244
 
5.8%
C 201
 
4.8%
H 176
 
4.2%
2 174
 
4.1%
6 155
 
3.7%
P 132
 
3.1%
Other values (16) 979
23.3%

의료기관명
Text

Distinct190
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:31:27.355819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length8.0194647
Min length3

Characters and Unicode

Total characters3296
Distinct characters229
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)11.4%

Sample

1st row구서한방병원
2nd row새로운정형외과의원
3rd row두실내과의원
4th row연세바로본의원
5th row연세바로본의원
ValueCountFrequency (%)
세웅병원 10
 
2.2%
단골병원 9
 
2.0%
의료법인아너의료재단 8
 
1.8%
아름다운강산병원 8
 
1.8%
새우리남산병원 7
 
1.5%
지온병원 7
 
1.5%
의료법인 6
 
1.3%
메드윌병원 5
 
1.1%
순병원 5
 
1.1%
서울지온신경외과의원 5
 
1.1%
Other values (196) 383
84.5%
2023-12-12T22:31:27.793481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 418
 
12.7%
의 387
 
11.7%
과 344
 
10.4%
치 204
 
6.2%
병 83
 
2.5%
내 55
 
1.7%
정 54
 
1.6%
산 51
 
1.5%
외 44
 
1.3%
44
 
1.3%
Other values (219) 1612
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3239
98.3%
Space Separator 44
 
1.3%
Uppercase Letter 6
 
0.2%
Close Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 418
 
12.9%
의 387
 
11.9%
과 344
 
10.6%
치 204
 
6.3%
병 83
 
2.6%
내 55
 
1.7%
정 54
 
1.7%
산 51
 
1.6%
외 44
 
1.4%
료 40
 
1.2%
Other values (213) 1559
48.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
H 2
33.3%
B 2
33.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3237
98.2%
Common 51
 
1.5%
Latin 6
 
0.2%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 418
 
12.9%
의 387
 
12.0%
과 344
 
10.6%
치 204
 
6.3%
병 83
 
2.6%
내 55
 
1.7%
정 54
 
1.7%
산 51
 
1.6%
외 44
 
1.4%
료 40
 
1.2%
Other values (212) 1557
48.1%
Common
ValueCountFrequency (%)
44
86.3%
) 5
 
9.8%
, 2
 
3.9%
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 3237
98.2%
ASCII 57
 
1.7%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 418
 
12.9%
의 387
 
12.0%
과 344
 
10.6%
치 204
 
6.3%
병 83
 
2.6%
내 55
 
1.7%
정 54
 
1.7%
산 51
 
1.6%
외 44
 
1.4%
료 40
 
1.2%
Other values (212) 1557
48.1%
ASCII
ValueCountFrequency (%)
44
77.2%
) 5
 
8.8%
S 2
 
3.5%
H 2
 
3.5%
B 2
 
3.5%
, 2
 
3.5%
CJK
ValueCountFrequency (%)
美 2
100.0%

의료기관주소(도로명)
Text

Distinct187
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T22:31:28.147277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length29.540146
Min length21

Characters and Unicode

Total characters12141
Distinct characters143
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

Unique44 ?
Unique (%)10.7%

Sample

1st row부산광역시 금정구 구서중앙로15번길 20, 금정산온천 레포츠 7,9층 (구서동)
2nd row부산광역시 금정구 중앙대로1841번길 23, 3층 (구서동)
3rd row부산광역시 금정구 중앙대로 1931, 구서동 175-37 2층 (구서동)
4th row부산광역시 금정구 서동로 159-1, 4,5층 (서동)
5th row부산광역시 금정구 서동로 159-1, 4,5층 (서동)
ValueCountFrequency (%)
부산광역시 411
 
16.4%
금정구 411
 
16.4%
구서동 128
 
5.1%
중앙대로 116
 
4.6%
2층 95
 
3.8%
부곡동 82
 
3.3%
장전동 60
 
2.4%
남산동 57
 
2.3%
3층 52
 
2.1%
서동 51
 
2.0%
Other values (255) 1038
41.5%
2023-12-12T22:31:28.690167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2090
 
17.2%
구 579
 
4.8%
부 536
 
4.4%
금 525
 
4.3%
1 482
 
4.0%
산 480
 
4.0%
동 477
 
3.9%
정 445
 
3.7%
광 416
 
3.4%
시 415
 
3.4%
Other values (133) 5696
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6850
56.4%
Space Separator 2090
 
17.2%
Decimal Number 1884
 
15.5%
Close Punctuation 414
 
3.4%
Open Punctuation 414
 
3.4%
Other Punctuation 399
 
3.3%
Math Symbol 36
 
0.3%
Dash Punctuation 36
 
0.3%
Uppercase Letter 10
 
0.1%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 579
 
8.5%
부 536
 
7.8%
금 525
 
7.7%
산 480
 
7.0%
동 477
 
7.0%
정 445
 
6.5%
광 416
 
6.1%
시 415
 
6.1%
역 414
 
6.0%
로 410
 
6.0%
Other values (108) 2153
31.4%
Decimal Number
ValueCountFrequency (%)
1 482
25.6%
2 364
19.3%
3 200
10.6%
4 151
 
8.0%
5 148
 
7.9%
0 133
 
7.1%
9 126
 
6.7%
7 117
 
6.2%
6 96
 
5.1%
8 67
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
i 2
25.0%
w 2
25.0%
e 2
25.0%
v 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 395
99.0%
@ 2
 
0.5%
. 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
K 5
50.0%
B 3
30.0%
S 2
 
20.0%
Space Separator
ValueCountFrequency (%)
2090
100.0%
Close Punctuation
ValueCountFrequency (%)
) 414
100.0%
Open Punctuation
ValueCountFrequency (%)
( 414
100.0%
Math Symbol
ValueCountFrequency (%)
~ 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6850
56.4%
Common 5273
43.4%
Latin 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 579
 
8.5%
부 536
 
7.8%
금 525
 
7.7%
산 480
 
7.0%
동 477
 
7.0%
정 445
 
6.5%
광 416
 
6.1%
시 415
 
6.1%
역 414
 
6.0%
로 410
 
6.0%
Other values (108) 2153
31.4%
Common
ValueCountFrequency (%)
2090
39.6%
1 482
 
9.1%
) 414
 
7.9%
( 414
 
7.9%
, 395
 
7.5%
2 364
 
6.9%
3 200
 
3.8%
4 151
 
2.9%
5 148
 
2.8%
0 133
 
2.5%
Other values (8) 482
 
9.1%
Latin
ValueCountFrequency (%)
K 5
27.8%
B 3
16.7%
i 2
 
11.1%
w 2
 
11.1%
e 2
 
11.1%
v 2
 
11.1%
S 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6850
56.4%
ASCII 5291
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2090
39.5%
1 482
 
9.1%
) 414
 
7.8%
( 414
 
7.8%
, 395
 
7.5%
2 364
 
6.9%
3 200
 
3.8%
4 151
 
2.9%
5 148
 
2.8%
0 133
 
2.5%
Other values (15) 500
 
9.5%
Hangul
ValueCountFrequency (%)
구 579
 
8.5%
부 536
 
7.8%
금 525
 
7.7%
산 480
 
7.0%
동 477
 
7.0%
정 445
 
6.5%
광 416
 
6.1%
시 415
 
6.1%
역 414
 
6.0%
로 410
 
6.0%
Other values (108) 2153
31.4%

장비검사일자
Date

Distinct241
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2020-10-20 00:00:00
Maximum2023-10-26 00:00:00
2023-12-12T22:31:28.842890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:31:28.983664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T22:31:24.836934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T22:31:24.949682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:31:25.070569image/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)장비검사일자
01SIG-40-525R-500-125(R-300-125)구서한방병원부산광역시 금정구 구서중앙로15번길 20, 금정산온천 레포츠 7,9층 (구서동)2023-10-04
12PRODIGY BONE DENSITOMETERBHR-3-76새로운정형외과의원부산광역시 금정구 중앙대로1841번길 23, 3층 (구서동)2023-10-05
23EXSYS Lite-051HR-100-110두실내과의원부산광역시 금정구 중앙대로 1931, 구서동 175-37 2층 (구서동)2023-09-19
34ZEN-2090 ProHRF-20-110연세바로본의원부산광역시 금정구 서동로 159-1, 4,5층 (서동)2023-08-17
45EXSys PlusR-500-125연세바로본의원부산광역시 금정구 서동로 159-1, 4,5층 (서동)2023-08-17
56AceMobile-510DHR-100-110화창한병원부산광역시 금정구 중앙대로1685번길 12, 지하2~6층 (부곡동)2023-08-09
67Alpha STMHR-100-35서동 미로내과의원부산광역시 금정구 서동로 159-1, 2,3층 (서동)2023-08-01
78REX-525RR-500-125서동 미로내과의원부산광역시 금정구 서동로 159-1, 2,3층 (서동)2023-08-02
89OsteoPro(A)BHR-0.8-80서동 미로내과의원부산광역시 금정구 서동로 159-1, 2,3층 (서동)2023-08-01
910PHT-35LHSCBCT(PC)-16-99이루미치과의원부산광역시 금정구 수림로 15, 6,7층 (부곡동)2023-07-19
번호장치모델명장치형식명의료기관명의료기관주소(도로명)장비검사일자
401402DXG-325R-RSR-300-125남산하나정형외과의원부산광역시 금정구 중앙대로 2049, 2,3층 (남산동)2020-10-28
402403제우스 ZEUSD-10-60김상천치과의원부산광역시 금정구 서동로 145 (서동)2022-01-07
403404제우스 ZEUSD-10-60동래미치과의원부산광역시 금정구 부곡로 38, 2층 (부곡동)2021-11-16
404405MCA-901HRF-40-125(HF-5-125)새우리남산병원부산광역시 금정구 중앙대로 2025 (남산동)2023-05-15
405406MCA-6100HRF-20-110(HF-4-110)보문정형외과의원부산광역시 금정구 중앙대로 1933, 1~3층 (구서동)2023-09-11
406407DXG-325R-RSR-300-125김두정정형외과의원부산광역시 금정구 부곡로 117, 2층 (부곡동)2020-12-17
407408BRS-EHR-30-100정영기내과의원부산광역시 금정구 중앙대로1985번길 1 (남산동)2021-02-05
408409AC-30R-300-100성모정형외과의원부산광역시 금정구 반송로 385, 1,2층 (서동)2021-12-08
409410DA-100R-100-100김경수내과의원부산광역시 금정구 부곡로 91, 2층 (부곡동)2022-01-10
410411SERCHER DX-073D-10-70명성치과의원부산광역시 금정구 부곡로 120-1, 5층 (부곡동)2021-06-02