Overview

Dataset statistics

Number of variables8
Number of observations35
Missing cells2
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory68.8 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description연제구 관내 의료기관에 설치 및 운영 중인 특수의료장비에 대한 데이터로 특수의료장비 설치 의료기관 명칭, 설치 장비 종류, 장비명칭, 모델, 형식
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15048091/fileData.do

Alerts

의료장비명 is highly overall correlated with 의료장비용도또는부위High correlation
의료장비용도또는부위 is highly overall correlated with 의료기관종별 and 1 other fieldsHigh correlation
순번 is highly overall correlated with 의료기관종별High correlation
의료기관종별 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
형식명 has 2 (5.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:17:22.394945
Analysis finished2023-12-12 10:17:23.506705
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T19:17:23.575191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-12T19:17:23.709673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

의료기관명
Text

Distinct23
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T19:17:23.955728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.4571429
Min length5

Characters and Unicode

Total characters261
Distinct characters73
Distinct categories2 ?
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 (%)45.7%

Sample

1st row굿메디내과의원
2nd row김앨빈 유외과의원
3rd row김용태내과의원
4th row리스본병원
5th row박근준유외과의원
ValueCountFrequency (%)
부산광역시의료원 5
 
12.8%
한양류마디병원 3
 
7.7%
연제일신병원 3
 
7.7%
새항운병원 2
 
5.1%
의료법인명은의료재단 2
 
5.1%
명은병원 2
 
5.1%
연산당당한방병원 2
 
5.1%
웰니스병원 2
 
5.1%
이진용맘병원 1
 
2.6%
위대한탄생여성병원 1
 
2.6%
Other values (16) 16
41.0%
2023-12-12T19:17:24.295497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 35
 
13.4%
의 21
 
8.0%
병 18
 
6.9%
과 11
 
4.2%
산 10
 
3.8%
료 9
 
3.4%
내 8
 
3.1%
한 8
 
3.1%
연 7
 
2.7%
부 6
 
2.3%
Other values (63) 128
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 257
98.5%
Space Separator 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 35
 
13.6%
의 21
 
8.2%
병 18
 
7.0%
과 11
 
4.3%
산 10
 
3.9%
료 9
 
3.5%
내 8
 
3.1%
한 8
 
3.1%
연 7
 
2.7%
부 6
 
2.3%
Other values (62) 124
48.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 257
98.5%
Common 4
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 35
 
13.6%
의 21
 
8.2%
병 18
 
7.0%
과 11
 
4.3%
산 10
 
3.9%
료 9
 
3.5%
내 8
 
3.1%
한 8
 
3.1%
연 7
 
2.7%
부 6
 
2.3%
Other values (62) 124
48.2%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 257
98.5%
ASCII 4
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 35
 
13.6%
의 21
 
8.2%
병 18
 
7.0%
과 11
 
4.3%
산 10
 
3.9%
료 9
 
3.5%
내 8
 
3.1%
한 8
 
3.1%
연 7
 
2.7%
부 6
 
2.3%
Other values (62) 124
48.2%
ASCII
ValueCountFrequency (%)
4
100.0%

의료기관종별
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
병원
15 
의원
12 
종합병원
5 
한방병원
3 

Length

Max length4
Median length2
Mean length2.4571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의원
2nd row의원
3rd row의원
4th row병원
5th row의원

Common Values

ValueCountFrequency (%)
병원 15
42.9%
의원 12
34.3%
종합병원 5
 
14.3%
한방병원 3
 
8.6%

Length

2023-12-12T19:17:24.486186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:24.655335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
병원 15
42.9%
의원 12
34.3%
종합병원 5
 
14.3%
한방병원 3
 
8.6%

의료장비명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
유방촬영용장치(mammography)
20 
전산화단층촬영장치(CT)
8 
자기공명영상촬영장치(MRI)
6 
유방촬영용장치
 
1

Length

Max length20
Median length20
Mean length17.171429
Min length7

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row유방촬영용장치(mammography)
2nd row유방촬영용장치(mammography)
3rd row유방촬영용장치(mammography)
4th row자기공명영상촬영장치(MRI)
5th row유방촬영용장치(mammography)

Common Values

ValueCountFrequency (%)
유방촬영용장치(mammography) 20
57.1%
전산화단층촬영장치(CT) 8
 
22.9%
자기공명영상촬영장치(MRI) 6
 
17.1%
유방촬영용장치 1
 
2.9%

Length

2023-12-12T19:17:24.798750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:24.924302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유방촬영용장치(mammography 20
57.1%
전산화단층촬영장치(ct 8
 
22.9%
자기공명영상촬영장치(mri 6
 
17.1%
유방촬영용장치 1
 
2.9%

의료장비용도또는부위
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
유방용
21 
전신용
14 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유방용
2nd row유방용
3rd row유방용
4th row전신용
5th row유방용

Common Values

ValueCountFrequency (%)
유방용 21
60.0%
전신용 14
40.0%

Length

2023-12-12T19:17:25.082215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:25.234090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유방용 21
60.0%
전신용 14
40.0%

모델명
Text

Distinct30
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T19:17:25.499204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length38
Mean length17.285714
Min length6

Characters and Unicode

Total characters605
Distinct characters59
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)74.3%

Sample

1st rowMX-600
2nd rowPerforma(MGF110) mammography X-ray equipment
3rd rowALPHA ST
4th rowMAGNETOM SYMPHONY
5th rowMX-300
ValueCountFrequency (%)
mx-300 3
 
3.8%
alpha 3
 
3.8%
selenia 3
 
3.8%
magnetom 3
 
3.8%
somatom 3
 
3.8%
ct 3
 
3.8%
st 3
 
3.8%
system 3
 
3.8%
x-ray 2
 
2.5%
mammography 2
 
2.5%
Other values (46) 52
65.0%
2023-12-12T19:17:25.979257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
7.4%
i 35
 
5.8%
M 30
 
5.0%
e 28
 
4.6%
0 26
 
4.3%
a 25
 
4.1%
S 25
 
4.1%
o 22
 
3.6%
A 22
 
3.6%
n 21
 
3.5%
Other values (49) 326
53.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 271
44.8%
Uppercase Letter 210
34.7%
Decimal Number 52
 
8.6%
Space Separator 45
 
7.4%
Dash Punctuation 18
 
3.0%
Other Punctuation 4
 
0.7%
Close Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Math Symbol 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 35
12.9%
e 28
10.3%
a 25
9.2%
o 22
 
8.1%
n 21
 
7.7%
m 18
 
6.6%
r 17
 
6.3%
s 15
 
5.5%
l 15
 
5.5%
t 13
 
4.8%
Other values (13) 62
22.9%
Uppercase Letter
ValueCountFrequency (%)
M 30
14.3%
S 25
11.9%
A 22
10.5%
T 20
9.5%
O 15
 
7.1%
E 12
 
5.7%
P 10
 
4.8%
R 10
 
4.8%
N 10
 
4.8%
D 8
 
3.8%
Other values (10) 48
22.9%
Decimal Number
ValueCountFrequency (%)
0 26
50.0%
1 10
 
19.2%
3 5
 
9.6%
6 3
 
5.8%
5 3
 
5.8%
8 2
 
3.8%
2 2
 
3.8%
7 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
/ 1
25.0%
& 1
25.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
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 481
79.5%
Common 124
 
20.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 35
 
7.3%
M 30
 
6.2%
e 28
 
5.8%
a 25
 
5.2%
S 25
 
5.2%
o 22
 
4.6%
A 22
 
4.6%
n 21
 
4.4%
T 20
 
4.2%
m 18
 
3.7%
Other values (33) 235
48.9%
Common
ValueCountFrequency (%)
45
36.3%
0 26
21.0%
- 18
 
14.5%
1 10
 
8.1%
3 5
 
4.0%
6 3
 
2.4%
5 3
 
2.4%
. 2
 
1.6%
) 2
 
1.6%
( 2
 
1.6%
Other values (6) 8
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
 
7.4%
i 35
 
5.8%
M 30
 
5.0%
e 28
 
4.6%
0 26
 
4.3%
a 25
 
4.1%
S 25
 
4.1%
o 22
 
3.6%
A 22
 
3.6%
n 21
 
3.5%
Other values (49) 326
53.9%

형식명
Text

MISSING 

Distinct23
Distinct (%)69.7%
Missing2
Missing (%)5.7%
Memory size412.0 B
2023-12-12T19:17:26.256103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.4242424
Min length3

Characters and Unicode

Total characters311
Distinct characters28
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)54.5%

Sample

1st rowMHR-100-39
2nd rowMHR-100-35
3rd rowMR-100-35
4th rowSYMPHONY
5th rowMR-85-35
ValueCountFrequency (%)
mhr-100-35 5
 
15.2%
mr-100-35 4
 
12.1%
mhr-100-39 2
 
6.1%
mr-85-35 2
 
6.1%
mhr-125-39 2
 
6.1%
wct-233-140 1
 
3.0%
e/m-1.5-s 1
 
3.0%
wct-500-135 1
 
3.0%
r-150-35 1
 
3.0%
m-1.5-s 1
 
3.0%
Other values (13) 13
39.4%
2023-12-12T19:17:26.736570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
19.9%
0 49
15.8%
1 26
8.4%
3 24
 
7.7%
5 24
 
7.7%
M 22
 
7.1%
R 21
 
6.8%
H 13
 
4.2%
4 11
 
3.5%
9 8
 
2.6%
Other values (18) 51
16.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 154
49.5%
Uppercase Letter 89
28.6%
Dash Punctuation 62
19.9%
Other Punctuation 3
 
1.0%
Other Letter 3
 
1.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 22
24.7%
R 21
23.6%
H 13
14.6%
W 8
 
9.0%
C 8
 
9.0%
T 8
 
9.0%
S 3
 
3.4%
Y 2
 
2.2%
E 1
 
1.1%
P 1
 
1.1%
Other values (2) 2
 
2.2%
Decimal Number
ValueCountFrequency (%)
0 49
31.8%
1 26
16.9%
3 24
15.6%
5 24
15.6%
4 11
 
7.1%
9 8
 
5.2%
2 6
 
3.9%
8 4
 
2.6%
6 1
 
0.6%
7 1
 
0.6%
Other Letter
ValueCountFrequency (%)
식 1
33.3%
형 1
33.3%
무 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219
70.4%
Latin 89
28.6%
Hangul 3
 
1.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
28.3%
0 49
22.4%
1 26
11.9%
3 24
 
11.0%
5 24
 
11.0%
4 11
 
5.0%
9 8
 
3.7%
2 6
 
2.7%
8 4
 
1.8%
. 2
 
0.9%
Other values (3) 3
 
1.4%
Latin
ValueCountFrequency (%)
M 22
24.7%
R 21
23.6%
H 13
14.6%
W 8
 
9.0%
C 8
 
9.0%
T 8
 
9.0%
S 3
 
3.4%
Y 2
 
2.2%
E 1
 
1.1%
P 1
 
1.1%
Other values (2) 2
 
2.2%
Hangul
ValueCountFrequency (%)
식 1
33.3%
형 1
33.3%
무 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 308
99.0%
Hangul 3
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
20.1%
0 49
15.9%
1 26
8.4%
3 24
 
7.8%
5 24
 
7.8%
M 22
 
7.1%
R 21
 
6.8%
H 13
 
4.2%
4 11
 
3.6%
9 8
 
2.6%
Other values (15) 48
15.6%
Hangul
ValueCountFrequency (%)
식 1
33.3%
형 1
33.3%
무 1
33.3%

제조사
Text

Distinct19
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T19:17:26.948272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length6.7428571
Min length2

Characters and Unicode

Total characters236
Distinct characters60
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)34.3%

Sample

1st row제노레이
2nd rowGE
3rd rowGE
4th rowSIEMENS
5th row제노레이
ValueCountFrequency (%)
ge 11
25.0%
siemens 4
 
9.1%
제노레이 3
 
6.8%
healthcare 3
 
6.8%
홀로직 2
 
4.5%
주)제노레이 2
 
4.5%
지멘스 2
 
4.5%
philips 2
 
4.5%
비멤스 1
 
2.3%
주)디알텍 1
 
2.3%
Other values (13) 13
29.5%
2023-12-12T19:17:27.367515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 22
 
9.3%
S 13
 
5.5%
G 12
 
5.1%
I 10
 
4.2%
9
 
3.8%
e 9
 
3.8%
N 8
 
3.4%
a 8
 
3.4%
M 7
 
3.0%
H 7
 
3.0%
Other values (50) 131
55.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 104
44.1%
Lowercase Letter 58
24.6%
Other Letter 53
22.5%
Space Separator 9
 
3.8%
Close Punctuation 5
 
2.1%
Open Punctuation 4
 
1.7%
Other Punctuation 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
9.4%
레 5
 
9.4%
노 5
 
9.4%
제 5
 
9.4%
주 4
 
7.5%
스 4
 
7.5%
디 3
 
5.7%
비 2
 
3.8%
멤 2
 
3.8%
알 2
 
3.8%
Other values (10) 16
30.2%
Lowercase Letter
ValueCountFrequency (%)
e 9
15.5%
a 8
13.8%
h 5
8.6%
t 5
8.6%
l 5
8.6%
c 4
 
6.9%
i 4
 
6.9%
s 3
 
5.2%
r 3
 
5.2%
u 2
 
3.4%
Other values (8) 10
17.2%
Uppercase Letter
ValueCountFrequency (%)
E 22
21.2%
S 13
12.5%
G 12
11.5%
I 10
9.6%
N 8
 
7.7%
M 7
 
6.7%
H 7
 
6.7%
T 5
 
4.8%
O 3
 
2.9%
P 3
 
2.9%
Other values (7) 14
13.5%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 162
68.6%
Hangul 53
 
22.5%
Common 21
 
8.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 22
 
13.6%
S 13
 
8.0%
G 12
 
7.4%
I 10
 
6.2%
e 9
 
5.6%
N 8
 
4.9%
a 8
 
4.9%
M 7
 
4.3%
H 7
 
4.3%
T 5
 
3.1%
Other values (25) 61
37.7%
Hangul
ValueCountFrequency (%)
이 5
 
9.4%
레 5
 
9.4%
노 5
 
9.4%
제 5
 
9.4%
주 4
 
7.5%
스 4
 
7.5%
디 3
 
5.7%
비 2
 
3.8%
멤 2
 
3.8%
알 2
 
3.8%
Other values (10) 16
30.2%
Common
ValueCountFrequency (%)
9
42.9%
) 5
23.8%
( 4
19.0%
. 2
 
9.5%
, 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183
77.5%
Hangul 53
 
22.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 22
 
12.0%
S 13
 
7.1%
G 12
 
6.6%
I 10
 
5.5%
9
 
4.9%
e 9
 
4.9%
N 8
 
4.4%
a 8
 
4.4%
M 7
 
3.8%
H 7
 
3.8%
Other values (30) 78
42.6%
Hangul
ValueCountFrequency (%)
이 5
 
9.4%
레 5
 
9.4%
노 5
 
9.4%
제 5
 
9.4%
주 4
 
7.5%
스 4
 
7.5%
디 3
 
5.7%
비 2
 
3.8%
멤 2
 
3.8%
알 2
 
3.8%
Other values (10) 16
30.2%

Interactions

2023-12-12T19:17:23.112405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:17:27.496928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명의료기관종별의료장비명의료장비용도또는부위모델명형식명제조사
순번1.0000.9880.7940.0000.0000.6010.6500.521
의료기관명0.9881.0001.0000.0000.0000.2870.0000.592
의료기관종별0.7941.0001.0000.5600.7440.8630.9450.000
의료장비명0.0000.0000.5601.0001.0000.0001.0000.000
의료장비용도또는부위0.0000.0000.7441.0001.0001.0001.0000.851
모델명0.6010.2870.8630.0001.0001.0000.9570.913
형식명0.6500.0000.9451.0001.0000.9571.0000.801
제조사0.5210.5920.0000.0000.8510.9130.8011.000
2023-12-12T19:17:27.645967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료장비명의료기관종별의료장비용도또는부위
의료장비명1.0000.2410.969
의료기관종별0.2411.0000.519
의료장비용도또는부위0.9690.5191.000
2023-12-12T19:17:27.778073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별의료장비명의료장비용도또는부위
순번1.0000.5400.0000.000
의료기관종별0.5401.0000.2410.519
의료장비명0.0000.2411.0000.969
의료장비용도또는부위0.0000.5190.9691.000

Missing values

2023-12-12T19:17:23.249979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:17:23.451974image/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

순번의료기관명의료기관종별의료장비명의료장비용도또는부위모델명형식명제조사
01굿메디내과의원의원유방촬영용장치(mammography)유방용MX-600MHR-100-39제노레이
12김앨빈 유외과의원의원유방촬영용장치(mammography)유방용Performa(MGF110) mammography X-ray equipmentMHR-100-35GE
23김용태내과의원의원유방촬영용장치(mammography)유방용ALPHA STMR-100-35GE
34리스본병원병원자기공명영상촬영장치(MRI)전신용MAGNETOM SYMPHONYSYMPHONYSIEMENS
45박근준유외과의원의원유방촬영용장치(mammography)유방용MX-300MR-85-35제노레이
56박민기내과의원의원유방촬영용장치(mammography)유방용Alpha STMHR-100-35INSTRUMENTARIUM
67부산광역시의료원종합병원전산화단층촬영장치(CT)전신용Revolution CT ESWCT-740-140GE Healthcare
78부산광역시의료원종합병원자기공명영상촬영장치(MRI)전신용MAGNETOM Skyra<NA>SIEMENS
89부산광역시의료원종합병원전산화단층촬영장치(CT)전신용SOMATOM Definition AS(100kW)WCT-800-140SIEMENS
910부산광역시의료원종합병원유방촬영용장치(mammography)유방용Selenia Dimensions universalMHR-200-49홀로직
순번의료기관명의료기관종별의료장비명의료장비용도또는부위모델명형식명제조사
2526의료법인명은의료재단 명은병원병원전산화단층촬영장치(CT)전신용SOMATOM go.NowWCT-400-130지멘스
2627의료법인명은의료재단 명은병원병원자기공명영상촬영장치(MRI)전신용MAGNETOM SYMPHONY<NA>지멘스
2728정한방병원한방병원자기공명영상촬영장치(MRI)전신용Signa CreatorM-1.5-SGE
2829주성산 이진용맘병원병원유방촬영용장치(mammography)유방용DMX-600MHR-100-39(주)제노레이
2930참조은내과의원의원유방촬영용장치(mammography)유방용Pinkview-RTMR-100-35주)비멤스
3031칸앤장내과의원의원유방촬영용장치(mammography)유방용ALPHA-STMR-100-35GE
3132한빛강내과의원의원유방촬영용장치(mammography)유방용MF-150SR-150-35BENNETT
3233한양류마디병원병원전산화단층촬영장치(CT)전신용TOSHIBA SCANNER Aquilion MODEL TSX-101AWCT-500-135TOSHIBA
3334한양류마디병원병원자기공명영상촬영장치(MRI)전신용Multiva 1.5T형식무Philips Healthcare (Suzhou) Co., Ltd.
3435한양류마디병원병원유방촬영용장치(mammography)유방용RMF-2000MHR-125-39디알텍