Overview

Dataset statistics

Number of variables15
Number of observations208
Missing cells110
Missing cells (%)3.5%
Duplicate rows4
Duplicate rows (%)1.9%
Total size in memory24.9 KiB
Average record size in memory122.6 B

Variable types

Categorical5
Text6
DateTime1
Boolean1
Numeric2

Dataset

Description성남시 내 특수의료장비 현황 데이터로, 의료장비명칭, 모델명, 장치형식, 용도, 상태, 제조연월, 신고일자, 의료기관명, 병상 수, 주소 등의 항목으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15084189/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 4 (1.9%) duplicate rowsDuplicates
장비용도 is highly overall correlated with 의료장비명칭 and 1 other fieldsHigh correlation
의료장비명칭 is highly overall correlated with 장비용도 and 1 other fieldsHigh correlation
자체병상수 is highly overall correlated with 공동활용여부High correlation
공동활용병상수 is highly overall correlated with 공동활용여부High correlation
공동활용여부 is highly overall correlated with 자체병상수 and 3 other fieldsHigh correlation
장비상태 is highly imbalanced (51.4%)Imbalance
장치형식명 has 8 (3.8%) missing valuesMissing
공동활용여부 has 31 (14.9%) missing valuesMissing
소재지지번주소 has 71 (34.1%) missing valuesMissing
자체병상수 has 71 (34.1%) zerosZeros
공동활용병상수 has 142 (68.3%) zerosZeros

Reproduction

Analysis started2023-12-11 23:50:33.018455
Analysis finished2023-12-11 23:50:34.391659
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구별
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
분당구
145 
수정구
43 
중원구
20 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구 145
69.7%
수정구 43
 
20.7%
중원구 20
 
9.6%

Length

2023-12-12T08:50:34.458618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:34.610268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 145
69.7%
수정구 43
 
20.7%
중원구 20
 
9.6%

의료장비명칭
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
자기공명영상촬영장치(MRI)
65 
전산화단층촬영장치(CT)
57 
유방촬영용장치
53 
유방촬영용장치(mammography)
33 

Length

Max length20
Median length15
Mean length13.206731
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자기공명영상촬영장치(MRI)
2nd row전산화단층촬영장치(CT)
3rd row자기공명영상촬영장치(MRI)
4th row자기공명영상촬영장치(MRI)
5th row자기공명영상촬영장치(MRI)

Common Values

ValueCountFrequency (%)
자기공명영상촬영장치(MRI) 65
31.2%
전산화단층촬영장치(CT) 57
27.4%
유방촬영용장치 53
25.5%
유방촬영용장치(mammography) 33
15.9%

Length

2023-12-12T08:50:34.740776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:34.880444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자기공명영상촬영장치(mri 65
31.2%
전산화단층촬영장치(ct 57
27.4%
유방촬영용장치 53
25.5%
유방촬영용장치(mammography 33
15.9%

장치모델명
Text

Distinct108
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:50:35.144647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length48
Mean length17.764423
Min length3

Characters and Unicode

Total characters3695
Distinct characters66
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)31.2%

Sample

1st row1.5T Signa HDxt Magnetic Resonance Systems
2nd rowSOMATOM go.All
3rd row1.5T Signa HDxT
4th row1.5T Signa HDxt Magnetic Resonance Systems
5th rowMAGNETOM Essenza
ValueCountFrequency (%)
magnetom 24
 
4.6%
ct 21
 
4.0%
signa 16
 
3.0%
system 15
 
2.9%
model 14
 
2.7%
somatom 14
 
2.7%
1.5t 14
 
2.7%
scanner 13
 
2.5%
mx-600 13
 
2.5%
aquilion 11
 
2.1%
Other values (151) 370
70.5%
2023-12-12T08:50:35.607619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
317
 
8.6%
i 233
 
6.3%
e 207
 
5.6%
n 182
 
4.9%
M 154
 
4.2%
a 150
 
4.1%
T 146
 
4.0%
0 131
 
3.5%
S 130
 
3.5%
A 116
 
3.1%
Other values (56) 1929
52.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1714
46.4%
Uppercase Letter 1236
33.5%
Space Separator 317
 
8.6%
Decimal Number 294
 
8.0%
Dash Punctuation 86
 
2.3%
Other Punctuation 38
 
1.0%
Letter Number 3
 
0.1%
Other Symbol 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 233
13.6%
e 207
12.1%
n 182
10.6%
a 150
 
8.8%
s 113
 
6.6%
o 99
 
5.8%
t 97
 
5.7%
r 83
 
4.8%
l 69
 
4.0%
m 67
 
3.9%
Other values (14) 414
24.2%
Uppercase Letter
ValueCountFrequency (%)
M 154
12.5%
T 146
11.8%
S 130
10.5%
A 116
9.4%
E 97
 
7.8%
O 86
 
7.0%
N 67
 
5.4%
R 59
 
4.8%
D 57
 
4.6%
C 56
 
4.5%
Other values (12) 268
21.7%
Decimal Number
ValueCountFrequency (%)
0 131
44.6%
3 46
 
15.6%
1 36
 
12.2%
6 27
 
9.2%
5 24
 
8.2%
2 10
 
3.4%
4 8
 
2.7%
8 8
 
2.7%
7 4
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 29
76.3%
/ 4
 
10.5%
& 3
 
7.9%
, 1
 
2.6%
! 1
 
2.6%
Space Separator
ValueCountFrequency (%)
317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Letter Number
ValueCountFrequency (%)
Ⅳ 3
100.0%
Other Symbol
ValueCountFrequency (%)
™ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2953
79.9%
Common 742
 
20.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 233
 
7.9%
e 207
 
7.0%
n 182
 
6.2%
M 154
 
5.2%
a 150
 
5.1%
T 146
 
4.9%
S 130
 
4.4%
A 116
 
3.9%
s 113
 
3.8%
o 99
 
3.4%
Other values (37) 1423
48.2%
Common
ValueCountFrequency (%)
317
42.7%
0 131
17.7%
- 86
 
11.6%
3 46
 
6.2%
1 36
 
4.9%
. 29
 
3.9%
6 27
 
3.6%
5 24
 
3.2%
2 10
 
1.3%
4 8
 
1.1%
Other values (9) 28
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3689
99.8%
Number Forms 3
 
0.1%
Letterlike Symbols 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
317
 
8.6%
i 233
 
6.3%
e 207
 
5.6%
n 182
 
4.9%
M 154
 
4.2%
a 150
 
4.1%
T 146
 
4.0%
0 131
 
3.6%
S 130
 
3.5%
A 116
 
3.1%
Other values (54) 1923
52.1%
Number Forms
ValueCountFrequency (%)
Ⅳ 3
100.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 3
100.0%

장치형식명
Text

MISSING 

Distinct73
Distinct (%)36.5%
Missing8
Missing (%)3.8%
Memory size1.8 KiB
2023-12-12T08:50:35.838130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length14
Mean length8.44
Min length3

Characters and Unicode

Total characters1688
Distinct characters64
Distinct categories9 ?
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 (%)20.5%

Sample

1st rowM-1.5-S
2nd rowWCT-625-140
3rd row초전도자석식 1.5테슬라
4th rowM-1.5-S
5th row1.5T
ValueCountFrequency (%)
구형식 32
 
15.1%
m-1.5-s 18
 
8.5%
mr-100-35 14
 
6.6%
mhr-100-35 13
 
6.1%
mr-100-39 8
 
3.8%
mhr-125-39 7
 
3.3%
mhr-100-39 6
 
2.8%
1.5t 5
 
2.4%
mr-85-35 5
 
2.4%
mhr-35-p 4
 
1.9%
Other values (71) 100
47.2%
2023-12-12T08:50:36.194335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 301
17.8%
0 207
12.3%
1 131
 
7.8%
5 123
 
7.3%
M 111
 
6.6%
3 104
 
6.2%
R 85
 
5.0%
T 60
 
3.6%
C 43
 
2.5%
H 42
 
2.5%
Other values (54) 481
28.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 699
41.4%
Uppercase Letter 476
28.2%
Dash Punctuation 301
17.8%
Other Letter 108
 
6.4%
Lowercase Letter 50
 
3.0%
Other Punctuation 40
 
2.4%
Space Separator 12
 
0.7%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 111
23.3%
R 85
17.9%
T 60
12.6%
C 43
 
9.0%
H 42
 
8.8%
W 40
 
8.4%
S 38
 
8.0%
A 10
 
2.1%
P 9
 
1.9%
E 8
 
1.7%
Other values (8) 30
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
s 8
16.0%
i 7
14.0%
e 7
14.0%
a 5
10.0%
r 4
8.0%
n 3
 
6.0%
o 2
 
4.0%
m 2
 
4.0%
t 2
 
4.0%
k 2
 
4.0%
Other values (7) 8
16.0%
Other Letter
ValueCountFrequency (%)
식 34
31.5%
형 33
30.6%
구 32
29.6%
슬 1
 
0.9%
라 1
 
0.9%
테 1
 
0.9%
석 1
 
0.9%
자 1
 
0.9%
도 1
 
0.9%
전 1
 
0.9%
Other values (2) 2
 
1.9%
Decimal Number
ValueCountFrequency (%)
0 207
29.6%
1 131
18.7%
5 123
17.6%
3 104
14.9%
4 40
 
5.7%
9 35
 
5.0%
2 22
 
3.1%
8 16
 
2.3%
6 15
 
2.1%
7 6
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 37
92.5%
, 2
 
5.0%
/ 1
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 301
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1054
62.4%
Latin 526
31.2%
Hangul 108
 
6.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 111
21.1%
R 85
16.2%
T 60
11.4%
C 43
 
8.2%
H 42
 
8.0%
W 40
 
7.6%
S 38
 
7.2%
A 10
 
1.9%
P 9
 
1.7%
s 8
 
1.5%
Other values (25) 80
15.2%
Common
ValueCountFrequency (%)
- 301
28.6%
0 207
19.6%
1 131
12.4%
5 123
11.7%
3 104
 
9.9%
4 40
 
3.8%
. 37
 
3.5%
9 35
 
3.3%
2 22
 
2.1%
8 16
 
1.5%
Other values (7) 38
 
3.6%
Hangul
ValueCountFrequency (%)
식 34
31.5%
형 33
30.6%
구 32
29.6%
슬 1
 
0.9%
라 1
 
0.9%
테 1
 
0.9%
석 1
 
0.9%
자 1
 
0.9%
도 1
 
0.9%
전 1
 
0.9%
Other values (2) 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1580
93.6%
Hangul 108
 
6.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 301
19.1%
0 207
13.1%
1 131
 
8.3%
5 123
 
7.8%
M 111
 
7.0%
3 104
 
6.6%
R 85
 
5.4%
T 60
 
3.8%
C 43
 
2.7%
H 42
 
2.7%
Other values (42) 373
23.6%
Hangul
ValueCountFrequency (%)
식 34
31.5%
형 33
30.6%
구 32
29.6%
슬 1
 
0.9%
라 1
 
0.9%
테 1
 
0.9%
석 1
 
0.9%
자 1
 
0.9%
도 1
 
0.9%
전 1
 
0.9%
Other values (2) 2
 
1.9%

장비용도
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
MRI
65 
CT
57 
유방용
51 
유방촬영용장치
35 

Length

Max length7
Median length3
Mean length3.3990385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMRI
2nd rowCT
3rd rowMRI
4th rowMRI
5th rowMRI

Common Values

ValueCountFrequency (%)
MRI 65
31.2%
CT 57
27.4%
유방용 51
24.5%
유방촬영용장치 35
16.8%

Length

2023-12-12T08:50:36.562192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:36.667637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mri 65
31.2%
ct 57
27.4%
유방용 51
24.5%
유방촬영용장치 35
16.8%

장비상태
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
신제품
163 
중고제품
34 
<NA>
 
8
기타
 
3

Length

Max length4
Median length3
Mean length3.1875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중고제품
2nd row신제품
3rd row중고제품
4th row중고제품
5th row중고제품

Common Values

ValueCountFrequency (%)
신제품 163
78.4%
중고제품 34
 
16.3%
<NA> 8
 
3.8%
기타 3
 
1.4%

Length

2023-12-12T08:50:36.782018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:36.888479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신제품 163
78.4%
중고제품 34
 
16.3%
na 8
 
3.8%
기타 3
 
1.4%

제조연월
Text

Distinct178
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:50:37.169271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2080
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)73.6%

Sample

1st row2022-05-00
2nd row2022-03-01
3rd row2021-07-22
4th row2021-06-01
5th row2012-04-02
ValueCountFrequency (%)
2022-03-01 3
 
1.4%
2019-01-01 3
 
1.4%
2019-02-01 3
 
1.4%
2013-09-01 3
 
1.4%
2010-03-01 3
 
1.4%
2006-04-01 2
 
1.0%
2004-04-01 2
 
1.0%
2007-01-01 2
 
1.0%
2021-10-00 2
 
1.0%
2013-12-01 2
 
1.0%
Other values (168) 183
88.0%
2023-12-12T08:50:37.597739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 618
29.7%
- 416
20.0%
1 365
17.5%
2 354
17.0%
9 62
 
3.0%
3 54
 
2.6%
7 50
 
2.4%
8 44
 
2.1%
6 44
 
2.1%
5 38
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1664
80.0%
Dash Punctuation 416
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 618
37.1%
1 365
21.9%
2 354
21.3%
9 62
 
3.7%
3 54
 
3.2%
7 50
 
3.0%
8 44
 
2.6%
6 44
 
2.6%
5 38
 
2.3%
4 35
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 416
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2080
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 618
29.7%
- 416
20.0%
1 365
17.5%
2 354
17.0%
9 62
 
3.0%
3 54
 
2.6%
7 50
 
2.4%
8 44
 
2.1%
6 44
 
2.1%
5 38
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 618
29.7%
- 416
20.0%
1 365
17.5%
2 354
17.0%
9 62
 
3.0%
3 54
 
2.6%
7 50
 
2.4%
8 44
 
2.1%
6 44
 
2.1%
5 38
 
1.8%

신고일자
Date

Distinct190
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2004-06-22 00:00:00
Maximum2023-06-07 00:00:00
2023-12-12T08:50:37.723999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:37.841571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

의료기관명
Text

Distinct92
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:50:38.082530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.5048077
Min length4

Characters and Unicode

Total characters1769
Distinct characters167
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

Unique58 ?
Unique (%)27.9%

Sample

1st row바른힐정형외과의원
2nd row아폴로헬스케어의원
3rd row아폴로헬스케어의원
4th row홍익신경외과의원
5th row연세스타병원
ValueCountFrequency (%)
분당서울대학교병원 25
 
10.4%
차의과학대학교분당차병원 13
 
5.4%
필립의원 9
 
3.7%
대진의료재단 8
 
3.3%
분당제생병원 8
 
3.3%
국군수도병원 8
 
3.3%
성남시의료원 7
 
2.9%
바른세상병원 6
 
2.5%
메디피움의원 6
 
2.5%
의료법인 5
 
2.1%
Other values (92) 146
60.6%
2023-12-12T08:50:38.455427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 210
 
11.9%
의 162
 
9.2%
병 98
 
5.5%
과 76
 
4.3%
분 67
 
3.8%
당 67
 
3.8%
학 60
 
3.4%
대 46
 
2.6%
교 41
 
2.3%
성 40
 
2.3%
Other values (157) 902
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1713
96.8%
Space Separator 33
 
1.9%
Decimal Number 17
 
1.0%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 210
 
12.3%
의 162
 
9.5%
병 98
 
5.7%
과 76
 
4.4%
분 67
 
3.9%
당 67
 
3.9%
학 60
 
3.5%
대 46
 
2.7%
교 41
 
2.4%
성 40
 
2.3%
Other values (147) 846
49.4%
Decimal Number
ValueCountFrequency (%)
2 7
41.2%
1 7
41.2%
3 1
 
5.9%
6 1
 
5.9%
5 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1713
96.8%
Common 54
 
3.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 210
 
12.3%
의 162
 
9.5%
병 98
 
5.7%
과 76
 
4.4%
분 67
 
3.9%
당 67
 
3.9%
학 60
 
3.5%
대 46
 
2.7%
교 41
 
2.4%
성 40
 
2.3%
Other values (147) 846
49.4%
Common
ValueCountFrequency (%)
33
61.1%
2 7
 
13.0%
1 7
 
13.0%
( 2
 
3.7%
) 2
 
3.7%
3 1
 
1.9%
6 1
 
1.9%
5 1
 
1.9%
Latin
ValueCountFrequency (%)
S 1
50.0%
W 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1713
96.8%
ASCII 56
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 210
 
12.3%
의 162
 
9.5%
병 98
 
5.7%
과 76
 
4.4%
분 67
 
3.9%
당 67
 
3.9%
학 60
 
3.5%
대 46
 
2.7%
교 41
 
2.4%
성 40
 
2.3%
Other values (147) 846
49.4%
ASCII
ValueCountFrequency (%)
33
58.9%
2 7
 
12.5%
1 7
 
12.5%
( 2
 
3.6%
) 2
 
3.6%
S 1
 
1.8%
W 1
 
1.8%
3 1
 
1.8%
6 1
 
1.8%
5 1
 
1.8%

공동활용여부
Boolean

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)1.1%
Missing31
Missing (%)14.9%
Memory size548.0 B
False
109 
True
68 
(Missing)
31 
ValueCountFrequency (%)
False 109
52.4%
True 68
32.7%
(Missing) 31
 
14.9%
2023-12-12T08:50:38.603449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자체병상수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct34
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301.47115
Minimum0
Maximum1335
Zeros71
Zeros (%)34.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T08:50:38.698580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median31
Q3494
95-th percentile1335
Maximum1335
Range1335
Interquartile range (IQR)494

Descriptive statistics

Standard deviation459.19326
Coefficient of variation (CV)1.5231748
Kurtosis0.43967246
Mean301.47115
Median Absolute Deviation (MAD)31
Skewness1.3901902
Sum62706
Variance210858.45
MonotonicityNot monotonic
2023-12-12T08:50:38.823643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 71
34.1%
1335 25
 
12.0%
887 13
 
6.2%
2 10
 
4.8%
494 8
 
3.8%
678 8
 
3.8%
303 7
 
3.4%
179 6
 
2.9%
82 4
 
1.9%
81 4
 
1.9%
Other values (24) 52
25.0%
ValueCountFrequency (%)
0 71
34.1%
1 3
 
1.4%
2 10
 
4.8%
4 2
 
1.0%
5 1
 
0.5%
6 3
 
1.4%
10 1
 
0.5%
14 2
 
1.0%
15 2
 
1.0%
17 3
 
1.4%
ValueCountFrequency (%)
1335 25
12.0%
887 13
6.2%
678 8
 
3.8%
531 3
 
1.4%
494 8
 
3.8%
303 7
 
3.4%
241 3
 
1.4%
200 3
 
1.4%
179 6
 
2.9%
116 4
 
1.9%

공동활용병상수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct42
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.572115
Minimum0
Maximum330
Zeros142
Zeros (%)68.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T08:50:38.944628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3142.25
95-th percentile258
Maximum330
Range330
Interquartile range (IQR)142.25

Descriptive statistics

Standard deviation97.220028
Coefficient of variation (CV)1.6050294
Kurtosis-0.14467107
Mean60.572115
Median Absolute Deviation (MAD)0
Skewness1.207451
Sum12599
Variance9451.7339
MonotonicityNot monotonic
2023-12-12T08:50:39.060565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 142
68.3%
258 7
 
3.4%
203 4
 
1.9%
143 4
 
1.9%
306 3
 
1.4%
210 3
 
1.4%
248 3
 
1.4%
196 2
 
1.0%
200 2
 
1.0%
239 2
 
1.0%
Other values (32) 36
 
17.3%
ValueCountFrequency (%)
0 142
68.3%
32 1
 
0.5%
35 1
 
0.5%
42 1
 
0.5%
43 1
 
0.5%
47 1
 
0.5%
87 2
 
1.0%
107 1
 
0.5%
110 1
 
0.5%
123 1
 
0.5%
ValueCountFrequency (%)
330 1
 
0.5%
306 3
1.4%
295 1
 
0.5%
281 1
 
0.5%
258 7
3.4%
248 3
1.4%
239 2
 
1.0%
230 1
 
0.5%
227 1
 
0.5%
226 2
 
1.0%

소재지도로명주소
Text

Distinct91
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:50:39.327686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length51.5
Mean length38.048077
Min length24

Characters and Unicode

Total characters7914
Distinct characters175
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)27.4%

Sample

1st row경기도 성남시 수정구 수정로 106, 수진동 SR프라자 8,9층 (수진동)
2nd row경기도 성남시 수정구 창업로 18, 3층 303,304호 (시흥동)
3rd row경기도 성남시 수정구 창업로 18, 3층 303,304호 (시흥동)
4th row경기도 성남시 수정구 산성대로 223, 일문파이낸스빌딩 3층 (신흥동)
5th row경기도 성남시 수정구 산성대로 267, 5층 일부, 6층 (신흥동)
ValueCountFrequency (%)
경기도 208
 
13.0%
성남시 208
 
13.0%
분당구 145
 
9.1%
수정구 43
 
2.7%
야탑동 34
 
2.1%
서현동 31
 
1.9%
구미동 28
 
1.8%
구미로173번길 25
 
1.6%
82 25
 
1.6%
분당서울대학교병원 25
 
1.6%
Other values (281) 825
51.7%
2023-12-12T08:50:39.742333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1389
 
17.6%
1 297
 
3.8%
성 272
 
3.4%
, 268
 
3.4%
구 261
 
3.3%
남 246
 
3.1%
동 222
 
2.8%
시 221
 
2.8%
로 212
 
2.7%
기 211
 
2.7%
Other values (165) 4315
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4486
56.7%
Space Separator 1389
 
17.6%
Decimal Number 1267
 
16.0%
Other Punctuation 268
 
3.4%
Open Punctuation 210
 
2.7%
Close Punctuation 210
 
2.7%
Math Symbol 41
 
0.5%
Uppercase Letter 31
 
0.4%
Dash Punctuation 9
 
0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 272
 
6.1%
구 261
 
5.8%
남 246
 
5.5%
동 222
 
4.9%
시 221
 
4.9%
로 212
 
4.7%
기 211
 
4.7%
도 210
 
4.7%
경 208
 
4.6%
분 196
 
4.4%
Other values (141) 2227
49.6%
Decimal Number
ValueCountFrequency (%)
1 297
23.4%
0 176
13.9%
3 171
13.5%
2 145
11.4%
7 108
 
8.5%
5 101
 
8.0%
4 89
 
7.0%
8 86
 
6.8%
9 49
 
3.9%
6 45
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
C 12
38.7%
A 7
22.6%
K 6
19.4%
S 3
 
9.7%
R 2
 
6.5%
G 1
 
3.2%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%
Space Separator
ValueCountFrequency (%)
1389
100.0%
Other Punctuation
ValueCountFrequency (%)
, 268
100.0%
Open Punctuation
ValueCountFrequency (%)
( 210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 210
100.0%
Math Symbol
ValueCountFrequency (%)
~ 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4486
56.7%
Common 3394
42.9%
Latin 34
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 272
 
6.1%
구 261
 
5.8%
남 246
 
5.5%
동 222
 
4.9%
시 221
 
4.9%
로 212
 
4.7%
기 211
 
4.7%
도 210
 
4.7%
경 208
 
4.6%
분 196
 
4.4%
Other values (141) 2227
49.6%
Common
ValueCountFrequency (%)
1389
40.9%
1 297
 
8.8%
, 268
 
7.9%
( 210
 
6.2%
) 210
 
6.2%
0 176
 
5.2%
3 171
 
5.0%
2 145
 
4.3%
7 108
 
3.2%
5 101
 
3.0%
Other values (6) 319
 
9.4%
Latin
ValueCountFrequency (%)
C 12
35.3%
A 7
20.6%
K 6
17.6%
S 3
 
8.8%
R 2
 
5.9%
Ⅲ 2
 
5.9%
G 1
 
2.9%
Ⅱ 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4486
56.7%
ASCII 3425
43.3%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1389
40.6%
1 297
 
8.7%
, 268
 
7.8%
( 210
 
6.1%
) 210
 
6.1%
0 176
 
5.1%
3 171
 
5.0%
2 145
 
4.2%
7 108
 
3.2%
5 101
 
2.9%
Other values (12) 350
 
10.2%
Hangul
ValueCountFrequency (%)
성 272
 
6.1%
구 261
 
5.8%
남 246
 
5.5%
동 222
 
4.9%
시 221
 
4.9%
로 212
 
4.7%
기 211
 
4.7%
도 210
 
4.7%
경 208
 
4.6%
분 196
 
4.4%
Other values (141) 2227
49.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
66.7%
Ⅱ 1
33.3%

소재지지번주소
Text

MISSING 

Distinct82
Distinct (%)59.9%
Missing71
Missing (%)34.1%
Memory size1.8 KiB
2023-12-12T08:50:39.917877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length30.467153
Min length18

Characters and Unicode

Total characters4174
Distinct characters142
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

Unique61 ?
Unique (%)44.5%

Sample

1st row경기도 성남시 수정구 수진동 56 수진동 SR프라자
2nd row경기도 성남시 수정구 시흥동 296-3
3rd row경기도 성남시 수정구 시흥동 296-3
4th row경기도 성남시 수정구 신흥동 6910 일문파이낸스빌딩
5th row경기도 성남시 수정구 신흥동 4124번지
ValueCountFrequency (%)
경기도 134
 
16.0%
성남시 132
 
15.8%
분당구 78
 
9.3%
수정구 38
 
4.5%
서현1동 19
 
2.3%
야탑1동 17
 
2.0%
중원구 16
 
1.9%
351,354-5,354-1,2,3,350번지(일부 13
 
1.6%
3호 13
 
1.6%
2호 12
 
1.4%
Other values (185) 364
43.5%
2023-12-12T08:50:40.212196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
743
 
17.8%
3 165
 
4.0%
성 154
 
3.7%
남 151
 
3.6%
시 150
 
3.6%
동 141
 
3.4%
5 140
 
3.4%
구 139
 
3.3%
도 136
 
3.3%
경 134
 
3.2%
Other values (132) 2121
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2369
56.8%
Decimal Number 859
 
20.6%
Space Separator 743
 
17.8%
Other Punctuation 93
 
2.2%
Dash Punctuation 50
 
1.2%
Close Punctuation 22
 
0.5%
Open Punctuation 22
 
0.5%
Lowercase Letter 6
 
0.1%
Math Symbol 5
 
0.1%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 154
 
6.5%
남 151
 
6.4%
시 150
 
6.3%
동 141
 
6.0%
구 139
 
5.9%
도 136
 
5.7%
경 134
 
5.7%
기 134
 
5.7%
지 98
 
4.1%
당 92
 
3.9%
Other values (111) 1040
43.9%
Decimal Number
ValueCountFrequency (%)
3 165
19.2%
5 140
16.3%
1 126
14.7%
2 116
13.5%
4 86
10.0%
0 71
8.3%
6 59
 
6.9%
9 42
 
4.9%
8 28
 
3.3%
7 26
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 92
98.9%
. 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
R 2
50.0%
Space Separator
ValueCountFrequency (%)
743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Lowercase Letter
ValueCountFrequency (%)
l 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2369
56.8%
Common 1794
43.0%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 154
 
6.5%
남 151
 
6.4%
시 150
 
6.3%
동 141
 
6.0%
구 139
 
5.9%
도 136
 
5.7%
경 134
 
5.7%
기 134
 
5.7%
지 98
 
4.1%
당 92
 
3.9%
Other values (111) 1040
43.9%
Common
ValueCountFrequency (%)
743
41.4%
3 165
 
9.2%
5 140
 
7.8%
1 126
 
7.0%
2 116
 
6.5%
, 92
 
5.1%
4 86
 
4.8%
0 71
 
4.0%
6 59
 
3.3%
- 50
 
2.8%
Other values (7) 146
 
8.1%
Latin
ValueCountFrequency (%)
l 6
54.5%
S 2
 
18.2%
R 2
 
18.2%
Ⅱ 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2369
56.8%
ASCII 1804
43.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
743
41.2%
3 165
 
9.1%
5 140
 
7.8%
1 126
 
7.0%
2 116
 
6.4%
, 92
 
5.1%
4 86
 
4.8%
0 71
 
3.9%
6 59
 
3.3%
- 50
 
2.8%
Other values (10) 156
 
8.6%
Hangul
ValueCountFrequency (%)
성 154
 
6.5%
남 151
 
6.4%
시 150
 
6.3%
동 141
 
6.0%
구 139
 
5.9%
도 136
 
5.7%
경 134
 
5.7%
기 134
 
5.7%
지 98
 
4.1%
당 92
 
3.9%
Other values (111) 1040
43.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-06-19
208 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-19
2nd row2023-06-19
3rd row2023-06-19
4th row2023-06-19
5th row2023-06-19

Common Values

ValueCountFrequency (%)
2023-06-19 208
100.0%

Length

2023-12-12T08:50:40.330069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:50:40.413104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-19 208
100.0%

Interactions

2023-12-12T08:50:33.846392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:33.708468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:33.924910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:50:33.778905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:50:40.473350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별의료장비명칭장치형식명장비용도장비상태의료기관명공동활용여부자체병상수공동활용병상수소재지도로명주소소재지지번주소
구별1.0000.4770.0000.4970.5671.0000.0000.4520.3951.0001.000
의료장비명칭0.4771.0000.8841.0000.0520.5600.7310.2480.4860.5410.691
장치형식명0.0000.8841.0000.8790.2870.0000.9420.8540.9000.0000.000
장비용도0.4971.0000.8791.0000.0840.5570.7310.2480.4860.5370.700
장비상태0.5670.0520.2870.0841.0000.8350.1260.3230.4490.8510.688
의료기관명1.0000.5600.0000.5570.8351.0000.9081.0000.8971.0001.000
공동활용여부0.0000.7310.9420.7310.1260.9081.0000.4890.9980.9140.982
자체병상수0.4520.2480.8540.2480.3231.0000.4891.0000.3231.0001.000
공동활용병상수0.3950.4860.9000.4860.4490.8970.9980.3231.0000.8950.777
소재지도로명주소1.0000.5410.0000.5370.8511.0000.9141.0000.8951.0001.000
소재지지번주소1.0000.6910.0000.7000.6881.0000.9821.0000.7771.0001.000
2023-12-12T08:50:40.590603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공동활용여부장비용도의료장비명칭구별장비상태
공동활용여부1.0000.5210.5210.0000.208
장비용도0.5211.0000.9840.4940.078
의료장비명칭0.5210.9841.0000.4730.048
구별0.0000.4940.4731.0000.247
장비상태0.2080.0780.0480.2471.000
2023-12-12T08:50:40.683767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자체병상수공동활용병상수구별의료장비명칭장비용도장비상태공동활용여부
자체병상수1.000-0.1630.3380.1710.1710.2270.517
공동활용병상수-0.1631.0000.2540.3060.3060.2970.940
구별0.3380.2541.0000.4730.4940.2470.000
의료장비명칭0.1710.3060.4731.0000.9840.0480.521
장비용도0.1710.3060.4940.9841.0000.0780.521
장비상태0.2270.2970.2470.0480.0781.0000.208
공동활용여부0.5170.9400.0000.5210.5210.2081.000

Missing values

2023-12-12T08:50:34.037815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:50:34.217761image/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.
2023-12-12T08:50:34.328929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구별의료장비명칭장치모델명장치형식명장비용도장비상태제조연월신고일자의료기관명공동활용여부자체병상수공동활용병상수소재지도로명주소소재지지번주소데이터기준일자
0수정구자기공명영상촬영장치(MRI)1.5T Signa HDxt Magnetic Resonance SystemsM-1.5-SMRI중고제품2022-05-002023-01-05바른힐정형외과의원Y29186경기도 성남시 수정구 수정로 106, 수진동 SR프라자 8,9층 (수진동)경기도 성남시 수정구 수진동 56 수진동 SR프라자2023-06-19
1수정구전산화단층촬영장치(CT)SOMATOM go.AllWCT-625-140CT신제품2022-03-012022-09-05아폴로헬스케어의원Y0239경기도 성남시 수정구 창업로 18, 3층 303,304호 (시흥동)경기도 성남시 수정구 시흥동 296-32023-06-19
2수정구자기공명영상촬영장치(MRI)1.5T Signa HDxT초전도자석식 1.5테슬라MRI중고제품2021-07-222021-08-19아폴로헬스케어의원Y0226경기도 성남시 수정구 창업로 18, 3층 303,304호 (시흥동)경기도 성남시 수정구 시흥동 296-32023-06-19
3수정구자기공명영상촬영장치(MRI)1.5T Signa HDxt Magnetic Resonance SystemsM-1.5-SMRI중고제품2021-06-012021-07-16홍익신경외과의원Y14227경기도 성남시 수정구 산성대로 223, 일문파이낸스빌딩 3층 (신흥동)경기도 성남시 수정구 신흥동 6910 일문파이낸스빌딩2023-06-19
4수정구자기공명영상촬영장치(MRI)MAGNETOM Essenza1.5TMRI중고제품2012-04-022020-05-13연세스타병원Y58148경기도 성남시 수정구 산성대로 267, 5층 일부, 6층 (신흥동)경기도 성남시 수정구 신흥동 4124번지2023-06-19
5수정구전산화단층촬영장치(CT)SOMATOM Definition Edge구형식CT신제품2019-01-012019-11-15성남시의료원N3030경기도 성남시 수정구 수정로171번길 10, 성남시의료원 (태평동)경기도 성남시 수정구 태평동 3309번지 성남시의료원2023-06-19
6수정구자기공명영상촬영장치(MRI)MAGNETOM Essenza구형식MRI신제품2019-02-012019-11-15성남시의료원N3030경기도 성남시 수정구 수정로171번길 10, 성남시의료원 (태평동)경기도 성남시 수정구 태평동 3309번지 성남시의료원2023-06-19
7수정구자기공명영상촬영장치(MRI)MAGNETOM Skyra구형식MRI신제품2019-02-012019-11-15성남시의료원N3030경기도 성남시 수정구 수정로171번길 10, 성남시의료원 (태평동)경기도 성남시 수정구 태평동 3309번지 성남시의료원2023-06-19
8수정구전산화단층촬영장치(CT)SOMATOM Definition Edge구형식CT신제품2019-01-012019-11-15성남시의료원N3030경기도 성남시 수정구 수정로171번길 10, 성남시의료원 (태평동)경기도 성남시 수정구 태평동 3309번지 성남시의료원2023-06-19
9수정구전산화단층촬영장치(CT)SOMATOM Force구형식CT신제품2019-01-012019-11-15성남시의료원N3030경기도 성남시 수정구 수정로171번길 10, 성남시의료원 (태평동)경기도 성남시 수정구 태평동 3309번지 성남시의료원2023-06-19
구별의료장비명칭장치모델명장치형식명장비용도장비상태제조연월신고일자의료기관명공동활용여부자체병상수공동활용병상수소재지도로명주소소재지지번주소데이터기준일자
198분당구유방촬영용장치MX-300MR-85-35유방용신제품2011-08-012011-08-25판교연세내과의원<NA>00경기도 성남시 분당구 판교로 376, 마크시티 퍼플 501~503, 505호 일부호 (삼평동)경기도 성남시 분당구 삼평동 719번지 마크시티 퍼플2023-06-19
199분당구유방촬영용장치Alpha STMR-100-35유방용신제품2011-05-012011-07-2821세기연세의원N00경기도 성남시 분당구 성남대로 345, 7층 701~703호 (정자동, 정자역프라자)경기도 성남시 분당구 정자동 17번지 6호 정자역프라자 701호,702호,703호2023-06-19
200분당구유방촬영용장치MX-600MR-85-39유방용신제품2011-05-262011-06-28연세더리더스내과의원<NA>00경기도 성남시 분당구 느티로 27, 4층 일부호 (정자동, 하나프라자)경기도 성남시 분당구 정자동 15번지 7호 하나프라자 4층호(일부)2023-06-19
201분당구유방촬영용장치Alpha RT MGF-101 mammographic X-ray systemMR-100-35유방용신제품2011-03-012011-03-16맑은유영상의학과의원N10경기도 성남시 분당구 돌마로 68, 411호 (구미동, 분당프라자)<NA>2023-06-19
202분당구유방촬영용장치pinkview-RTMR-100-35유방용신제품2011-02-102011-02-17탁용준내과의원<NA>00경기도 성남시 분당구 성남대로 926, 407,410호 (야탑동, 분당메트로빌딩)경기도 성남시 분당구 야탑동 360-6 분당메트로빌딩 407, 410호2023-06-19
203분당구유방촬영용장치M-ⅣMR-100-39유방용신제품2010-06-012010-11-17최성림유외과의원N10경기도 성남시 분당구 성남대로 385, 503호 (정자동, 분당클리닉)경기도 성남시 분당구 정자동 15번지 2호 분당클리닉503호2023-06-19
204분당구유방촬영용장치M-ⅣMR-100-39유방용신제품2010-03-012010-05-27필립의원<NA>20경기도 성남시 분당구 황새울로311번길 10, 필립메디컬센터 (서현동)경기도 성남시 분당구 서현동 274번지 3호 필립메디컬센터2023-06-19
205분당구유방촬영용장치Senographe DSMIR-100-49유방용신제품2007-02-012007-04-30차의과학대학교분당차병원<NA>8870경기도 성남시 분당구 야탑로 59 (야탑동)경기도 성남시 분당구 야탑동 351,354-5,354-1,2,3,350번지(일부)2023-06-19
206분당구유방촬영용장치Alpha STMIR-100-35유방용중고제품2006-04-012007-03-02위드심의원N40경기도 성남시 분당구 황새울로 353, 6층 (서현동)<NA>2023-06-19
207분당구유방촬영용장치SENOGRAPHE-700T/800TSENO 800T유방용신제품2003-08-012005-01-22분당21세기의원N00경기도 성남시 분당구 서현로321번길 10, 3층일부, 4층 (서현동)<NA>2023-06-19

Duplicate rows

Most frequently occurring

구별의료장비명칭장치모델명장치형식명장비용도장비상태제조연월신고일자의료기관명공동활용여부자체병상수공동활용병상수소재지도로명주소소재지지번주소데이터기준일자# duplicates
0분당구자기공명영상촬영장치(MRI)Optima MR360M-1.5-SMRI신제품2013-12-012014-01-24필립의원Y2248경기도 성남시 분당구 황새울로311번길 10, 필립메디컬센터 (서현동)경기도 성남시 분당구 서현1동 274번지 3호 필립메디컬센터2023-06-192
1분당구자기공명영상촬영장치(MRI)lngenia 3.0T구형식MRI신제품2014-01-072014-01-20분당서울대학교병원N13350경기도 성남시 분당구 구미로173번길 82 (구미동, 분당서울대학교병원)<NA>2023-06-192
2분당구전산화단층촬영장치(CT)Brilliance iCT구형식CT신제품2012-12-152013-01-28분당서울대학교병원N13350경기도 성남시 분당구 구미로173번길 82 (구미동, 분당서울대학교병원)<NA>2023-06-192
3수정구전산화단층촬영장치(CT)SOMATOM Definition Edge구형식CT신제품2019-01-012019-11-15성남시의료원N3030경기도 성남시 수정구 수정로171번길 10, 성남시의료원 (태평동)경기도 성남시 수정구 태평동 3309번지 성남시의료원2023-06-192