Overview

Dataset statistics

Number of variables10
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory84.8 B

Variable types

Numeric1
Text5
Categorical4

Dataset

Description특수의료장비의 설치 및 운영에 관한 현황(의료기관명칭, 의료기관 종별, 소재지, 전화번호, 의료장비종류, 의료장비명,모델명, 형식명)
URLhttps://www.data.go.kr/data/15025891/fileData.do

Alerts

의료장비종류 is highly overall correlated with 의료장비명 and 1 other fieldsHigh correlation
의료장비명 is highly overall correlated with 의료장비종류 and 1 other fieldsHigh correlation
의료장비용도또는부위 is highly overall correlated with 의료장비종류 and 1 other fieldsHigh correlation
순번 is highly overall correlated with 의료기관종별High correlation
의료기관종별 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:55:01.672589
Analysis finished2023-12-12 06:55:02.529114
Duration0.86 seconds
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
2023-12-12T15:55:02.590287image/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
2023-12-12T15:55:02.735910image/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

Distinct18
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T15:55:02.979290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length13.314286
Min length4

Characters and Unicode

Total characters466
Distinct characters71
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)37.1%

Sample

1st row명인내과의원
2nd row부영병원
3rd row셀빙강내과의원
4th row속편한희망내과의원
5th row연세윤내과의원
ValueCountFrequency (%)
의료법인은성의료재단좋은삼선병원 6
11.3%
부산보훈병원 6
11.3%
한국보훈복지의료공단 6
11.3%
한국건강관리협회 5
 
9.4%
건강증진의원 5
 
9.4%
의료법인센텀의료재단 3
 
5.7%
서부산센텀병원 3
 
5.7%
의료법인영재의료재단 2
 
3.8%
큰솔병원 2
 
3.8%
영재의료재단 1
 
1.9%
Other values (14) 14
26.4%
2023-12-12T15:55:03.321785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 48
 
10.3%
원 36
 
7.7%
료 32
 
6.9%
병 20
 
4.3%
단 19
 
4.1%
18
 
3.9%
재 17
 
3.6%
인 14
 
3.0%
법 13
 
2.8%
은 13
 
2.8%
Other values (61) 236
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 447
95.9%
Space Separator 18
 
3.9%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 48
 
10.7%
원 36
 
8.1%
료 32
 
7.2%
병 20
 
4.5%
단 19
 
4.3%
재 17
 
3.8%
인 14
 
3.1%
법 13
 
2.9%
은 13
 
2.9%
훈 12
 
2.7%
Other values (59) 223
49.9%
Space Separator
ValueCountFrequency (%)
18
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 447
95.9%
Common 19
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 48
 
10.7%
원 36
 
8.1%
료 32
 
7.2%
병 20
 
4.5%
단 19
 
4.3%
재 17
 
3.8%
인 14
 
3.1%
법 13
 
2.9%
은 13
 
2.9%
훈 12
 
2.7%
Other values (59) 223
49.9%
Common
ValueCountFrequency (%)
18
94.7%
2 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 447
95.9%
ASCII 19
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 48
 
10.7%
원 36
 
8.1%
료 32
 
7.2%
병 20
 
4.5%
단 19
 
4.3%
재 17
 
3.8%
인 14
 
3.1%
법 13
 
2.9%
은 13
 
2.9%
훈 12
 
2.7%
Other values (59) 223
49.9%
ASCII
ValueCountFrequency (%)
18
94.7%
2 1
 
5.3%

의료기관종별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
의원
15 
종합병원
12 
병원
8 

Length

Max length4
Median length2
Mean length2.6857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 15
42.9%
종합병원 12
34.3%
병원 8
22.9%

Length

2023-12-12T15:55:03.452278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:55:03.553412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 15
42.9%
종합병원 12
34.3%
병원 8
22.9%

의료기관전화번호
Text

Distinct18
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T15:55:03.696110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters420
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

Unique13 ?
Unique (%)37.1%

Sample

1st row051-321-2119
2nd row051-320-6800
3rd row051-325-8275
4th row051-715-7996
5th row051-321-1231
ValueCountFrequency (%)
051-322-0900 6
17.1%
051-601-6000 6
17.1%
051-601-9700 5
14.3%
051-329-3000 3
 
8.6%
051-325-9700 2
 
5.7%
051-322-0050 1
 
2.9%
051-325-8275 1
 
2.9%
051-715-7996 1
 
2.9%
051-321-1231 1
 
2.9%
051-323-6611 1
 
2.9%
Other values (8) 8
22.9%
2023-12-12T15:55:04.030976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 120
28.6%
- 70
16.7%
1 65
15.5%
5 44
 
10.5%
2 31
 
7.4%
3 27
 
6.4%
9 21
 
5.0%
6 21
 
5.0%
7 14
 
3.3%
8 5
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
83.3%
Dash Punctuation 70
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 120
34.3%
1 65
18.6%
5 44
 
12.6%
2 31
 
8.9%
3 27
 
7.7%
9 21
 
6.0%
6 21
 
6.0%
7 14
 
4.0%
8 5
 
1.4%
4 2
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 120
28.6%
- 70
16.7%
1 65
15.5%
5 44
 
10.5%
2 31
 
7.4%
3 27
 
6.4%
9 21
 
5.0%
6 21
 
5.0%
7 14
 
3.3%
8 5
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 120
28.6%
- 70
16.7%
1 65
15.5%
5 44
 
10.5%
2 31
 
7.4%
3 27
 
6.4%
9 21
 
5.0%
6 21
 
5.0%
7 14
 
3.3%
8 5
 
1.2%

의료기관소재지(도로명)
Text

Distinct18
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T15:55:04.290433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length26.742857
Min length23

Characters and Unicode

Total characters936
Distinct characters79
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)37.1%

Sample

1st row부산광역시 사상구 낙동대로 790, 6층 (엄궁동)
2nd row부산광역시 사상구 학감대로123번길 76 (학장동)
3rd row부산광역시 사상구 사상로 231, 1층 (괘법동, 한림의원)
4th row부산광역시 사상구 낙동대로 780, 2, 3층 (엄궁동)
5th row부산광역시 사상구 사상로 200, 엠시티빌딩 4층 401호 (괘법동)
ValueCountFrequency (%)
부산광역시 35
18.3%
사상구 35
18.3%
주례동 12
 
6.3%
괘법동 8
 
4.2%
백양대로 7
 
3.7%
가야대로 6
 
3.1%
326 6
 
3.1%
420 6
 
3.1%
학장동 6
 
3.1%
학감대로 5
 
2.6%
Other values (45) 65
34.0%
2023-12-12T15:55:04.673231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
16.7%
동 41
 
4.4%
사 40
 
4.3%
상 40
 
4.3%
부 36
 
3.8%
광 36
 
3.8%
시 36
 
3.8%
산 36
 
3.8%
로 35
 
3.7%
( 35
 
3.7%
Other values (69) 445
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 566
60.5%
Space Separator 156
 
16.7%
Decimal Number 128
 
13.7%
Open Punctuation 35
 
3.7%
Close Punctuation 35
 
3.7%
Other Punctuation 15
 
1.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 41
 
7.2%
사 40
 
7.1%
상 40
 
7.1%
부 36
 
6.4%
광 36
 
6.4%
시 36
 
6.4%
산 36
 
6.4%
로 35
 
6.2%
구 35
 
6.2%
역 35
 
6.2%
Other values (54) 196
34.6%
Decimal Number
ValueCountFrequency (%)
2 34
26.6%
0 18
14.1%
3 17
13.3%
6 15
11.7%
1 14
10.9%
4 10
 
7.8%
7 6
 
4.7%
8 5
 
3.9%
9 5
 
3.9%
5 4
 
3.1%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 566
60.5%
Common 370
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 41
 
7.2%
사 40
 
7.1%
상 40
 
7.1%
부 36
 
6.4%
광 36
 
6.4%
시 36
 
6.4%
산 36
 
6.4%
로 35
 
6.2%
구 35
 
6.2%
역 35
 
6.2%
Other values (54) 196
34.6%
Common
ValueCountFrequency (%)
156
42.2%
( 35
 
9.5%
) 35
 
9.5%
2 34
 
9.2%
0 18
 
4.9%
3 17
 
4.6%
6 15
 
4.1%
, 15
 
4.1%
1 14
 
3.8%
4 10
 
2.7%
Other values (5) 21
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 566
60.5%
ASCII 370
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
42.2%
( 35
 
9.5%
) 35
 
9.5%
2 34
 
9.2%
0 18
 
4.9%
3 17
 
4.6%
6 15
 
4.1%
, 15
 
4.1%
1 14
 
3.8%
4 10
 
2.7%
Other values (5) 21
 
5.7%
Hangul
ValueCountFrequency (%)
동 41
 
7.2%
사 40
 
7.1%
상 40
 
7.1%
부 36
 
6.4%
광 36
 
6.4%
시 36
 
6.4%
산 36
 
6.4%
로 35
 
6.2%
구 35
 
6.2%
역 35
 
6.2%
Other values (54) 196
34.6%

의료장비종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
유방촬영용장치
18 
CT
10 
MRI
7 

Length

Max length7
Median length7
Mean length4.7714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유방촬영용장치 18
51.4%
CT 10
28.6%
MRI 7
 
20.0%

Length

2023-12-12T15:55:04.831015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:55:04.972139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유방촬영용장치 18
51.4%
ct 10
28.6%
mri 7
 
20.0%

의료장비명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
유방촬영용장치(mammography)
18 
전산화단층촬영장치(CT)
10 
자기공명영상촬영장치(MRI)
7 

Length

Max length20
Median length20
Mean length17
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유방촬영용장치(mammography)
2nd row전산화단층촬영장치(CT)
3rd row유방촬영용장치(mammography)
4th row유방촬영용장치(mammography)
5th row유방촬영용장치(mammography)

Common Values

ValueCountFrequency (%)
유방촬영용장치(mammography) 18
51.4%
전산화단층촬영장치(CT) 10
28.6%
자기공명영상촬영장치(MRI) 7
 
20.0%

Length

2023-12-12T15:55:05.115216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:55:05.241747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유방촬영용장치(mammography 18
51.4%
전산화단층촬영장치(ct 10
28.6%
자기공명영상촬영장치(mri 7
 
20.0%

의료장비용도또는부위
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
유방용
18 
전신용
17 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유방용 18
51.4%
전신용 17
48.6%

Length

2023-12-12T15:55:05.380896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:55:05.802437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유방용 18
51.4%
전신용 17
48.6%

모델명
Text

Distinct30
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T15:55:06.043646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length21
Mean length16.314286
Min length6

Characters and Unicode

Total characters571
Distinct characters58
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 rowPinkview-RT
2nd rowBrilliance™CT 6-slice
3rd rowMF-150G
4th rowPinkview-DR Prime
5th rowGIOTTO IMAGE
ValueCountFrequency (%)
magnetom 4
 
5.3%
selenia 4
 
5.3%
mx-300 3
 
3.9%
dimensions 3
 
3.9%
system 2
 
2.6%
signa 2
 
2.6%
elite 2
 
2.6%
brightspeed 2
 
2.6%
ct 2
 
2.6%
pinkview-dr 2
 
2.6%
Other values (45) 50
65.8%
2023-12-12T15:55:06.426766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 49
 
8.6%
e 43
 
7.5%
41
 
7.2%
n 27
 
4.7%
0 23
 
4.0%
M 21
 
3.7%
T 21
 
3.7%
S 21
 
3.7%
l 21
 
3.7%
a 18
 
3.2%
Other values (48) 286
50.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 280
49.0%
Uppercase Letter 186
32.6%
Decimal Number 43
 
7.5%
Space Separator 41
 
7.2%
Dash Punctuation 15
 
2.6%
Other Punctuation 3
 
0.5%
Other Symbol 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 49
17.5%
e 43
15.4%
n 27
9.6%
l 21
 
7.5%
a 18
 
6.4%
s 16
 
5.7%
t 15
 
5.4%
r 15
 
5.4%
o 12
 
4.3%
m 9
 
3.2%
Other values (12) 55
19.6%
Uppercase Letter
ValueCountFrequency (%)
M 21
11.3%
T 21
11.3%
S 21
11.3%
A 17
 
9.1%
E 14
 
7.5%
O 12
 
6.5%
D 10
 
5.4%
G 9
 
4.8%
N 8
 
4.3%
R 7
 
3.8%
Other values (10) 46
24.7%
Decimal Number
ValueCountFrequency (%)
0 23
53.5%
6 6
 
14.0%
1 4
 
9.3%
3 4
 
9.3%
5 2
 
4.7%
2 2
 
4.7%
7 1
 
2.3%
8 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
/ 1
33.3%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Symbol
ValueCountFrequency (%)
™ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 466
81.6%
Common 105
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 49
 
10.5%
e 43
 
9.2%
n 27
 
5.8%
M 21
 
4.5%
T 21
 
4.5%
S 21
 
4.5%
l 21
 
4.5%
a 18
 
3.9%
A 17
 
3.6%
s 16
 
3.4%
Other values (32) 212
45.5%
Common
ValueCountFrequency (%)
41
39.0%
0 23
21.9%
- 15
 
14.3%
6 6
 
5.7%
1 4
 
3.8%
3 4
 
3.8%
5 2
 
1.9%
2 2
 
1.9%
7 1
 
1.0%
& 1
 
1.0%
Other values (6) 6
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 570
99.8%
Letterlike Symbols 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 49
 
8.6%
e 43
 
7.5%
41
 
7.2%
n 27
 
4.7%
0 23
 
4.0%
M 21
 
3.7%
T 21
 
3.7%
S 21
 
3.7%
l 21
 
3.7%
a 18
 
3.2%
Other values (47) 285
50.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 1
100.0%

형식명
Text

Distinct25
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T15:55:06.645462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.8
Min length4

Characters and Unicode

Total characters308
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)51.4%

Sample

1st rowMR-100-35
2nd rowWCT-500-140
3rd rowMR-150-35
4th rowMHR-100-35
5th rowMHR-130-35
ValueCountFrequency (%)
mr-100-35 3
 
8.3%
mr-85-35 3
 
8.3%
3.0t 3
 
8.3%
wct-1000-140 2
 
5.6%
mhr-200-49 2
 
5.6%
mhr-100-39 2
 
5.6%
1.5t 2
 
5.6%
m-1 1
 
2.8%
mr-100-39 1
 
2.8%
wct-840-140 1
 
2.8%
Other values (16) 16
44.4%
2023-12-12T15:55:06.941289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
19.5%
0 52
16.9%
1 24
 
7.8%
3 23
 
7.5%
5 21
 
6.8%
M 19
 
6.2%
R 18
 
5.8%
4 15
 
4.9%
T 15
 
4.9%
W 10
 
3.2%
Other values (12) 51
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 154
50.0%
Uppercase Letter 86
27.9%
Dash Punctuation 60
 
19.5%
Other Punctuation 7
 
2.3%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 52
33.8%
1 24
15.6%
3 23
14.9%
5 21
13.6%
4 15
 
9.7%
9 7
 
4.5%
8 5
 
3.2%
2 3
 
1.9%
6 3
 
1.9%
7 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
M 19
22.1%
R 18
20.9%
T 15
17.4%
W 10
11.6%
C 10
11.6%
H 9
10.5%
P 3
 
3.5%
S 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 6
85.7%
, 1
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 222
72.1%
Latin 86
 
27.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
27.0%
0 52
23.4%
1 24
 
10.8%
3 23
 
10.4%
5 21
 
9.5%
4 15
 
6.8%
9 7
 
3.2%
. 6
 
2.7%
8 5
 
2.3%
2 3
 
1.4%
Other values (4) 6
 
2.7%
Latin
ValueCountFrequency (%)
M 19
22.1%
R 18
20.9%
T 15
17.4%
W 10
11.6%
C 10
11.6%
H 9
10.5%
P 3
 
3.5%
S 2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
19.5%
0 52
16.9%
1 24
 
7.8%
3 23
 
7.5%
5 21
 
6.8%
M 19
 
6.2%
R 18
 
5.8%
4 15
 
4.9%
T 15
 
4.9%
W 10
 
3.2%
Other values (12) 51
16.6%

Interactions

2023-12-12T15:55:02.166025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:55:07.033163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명의료기관종별의료기관전화번호의료기관소재지(도로명)의료장비종류의료장비명의료장비용도또는부위모델명형식명
순번1.0000.9050.8140.9050.9050.0000.0000.4410.6580.000
의료기관명0.9051.0001.0001.0001.0000.0000.0000.0000.8620.879
의료기관종별0.8141.0001.0001.0001.0000.6730.6730.2820.9570.770
의료기관전화번호0.9051.0001.0001.0001.0000.0000.0000.0000.8620.879
의료기관소재지(도로명)0.9051.0001.0001.0001.0000.0000.0000.0000.8620.879
의료장비종류0.0000.0000.6730.0000.0001.0001.0001.0001.0001.000
의료장비명0.0000.0000.6730.0000.0001.0001.0001.0001.0001.000
의료장비용도또는부위0.4410.0000.2820.0000.0001.0001.0001.0001.0001.000
모델명0.6580.8620.9570.8620.8621.0001.0001.0001.0000.995
형식명0.0000.8790.7700.8790.8791.0001.0001.0000.9951.000
2023-12-12T15:55:07.189418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별의료장비종류의료장비명의료장비용도또는부위
의료기관종별1.0000.3300.3300.448
의료장비종류0.3301.0001.0000.985
의료장비명0.3301.0001.0000.985
의료장비용도또는부위0.4480.9850.9851.000
2023-12-12T15:55:07.279259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별의료장비종류의료장비명의료장비용도또는부위
순번1.0000.6650.0000.0000.225
의료기관종별0.6651.0000.3300.3300.448
의료장비종류0.0000.3301.0001.0000.985
의료장비명0.0000.3301.0001.0000.985
의료장비용도또는부위0.2250.4480.9850.9851.000

Missing values

2023-12-12T15:55:02.291750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:55:02.460828image/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

순번의료기관명의료기관종별의료기관전화번호의료기관소재지(도로명)의료장비종류의료장비명의료장비용도또는부위모델명형식명
01명인내과의원의원051-321-2119부산광역시 사상구 낙동대로 790, 6층 (엄궁동)유방촬영용장치유방촬영용장치(mammography)유방용Pinkview-RTMR-100-35
12부영병원병원051-320-6800부산광역시 사상구 학감대로123번길 76 (학장동)CT전산화단층촬영장치(CT)전신용Brilliance™CT 6-sliceWCT-500-140
23셀빙강내과의원의원051-325-8275부산광역시 사상구 사상로 231, 1층 (괘법동, 한림의원)유방촬영용장치유방촬영용장치(mammography)유방용MF-150GMR-150-35
34속편한희망내과의원의원051-715-7996부산광역시 사상구 낙동대로 780, 2, 3층 (엄궁동)유방촬영용장치유방촬영용장치(mammography)유방용Pinkview-DR PrimeMHR-100-35
45연세윤내과의원의원051-321-1231부산광역시 사상구 사상로 200, 엠시티빌딩 4층 401호 (괘법동)유방촬영용장치유방촬영용장치(mammography)유방용GIOTTO IMAGEMHR-130-35
56우리항외과의원의원051-323-6611부산광역시 사상구 사상로 237, 스탠다드차타드은행 1층 (괘법동)유방촬영용장치유방촬영용장치(mammography)유방용MX-600MHR-39-P
67의료법인 영재의료재단 큰솔2병원병원051-322-0050부산광역시 사상구 학장로 189 (학장동)유방촬영용장치유방촬영용장치(mammography)유방용DMX-600MHR-100-39
78의료법인센텀의료재단 서부산센텀병원병원051-329-3000부산광역시 사상구 새벽로 226 (괘법동)CT전산화단층촬영장치(CT)전신용Incisive CTWCT-667-140
89의료법인센텀의료재단 서부산센텀병원병원051-329-3000부산광역시 사상구 새벽로 226 (괘법동)MRI자기공명영상촬영장치(MRI)전신용MRT-20031.5T
910의료법인센텀의료재단 서부산센텀병원병원051-329-3000부산광역시 사상구 새벽로 226 (괘법동)유방촬영용장치유방촬영용장치(mammography)유방용MX-300MR-85-35
순번의료기관명의료기관종별의료기관전화번호의료기관소재지(도로명)의료장비종류의료장비명의료장비용도또는부위모델명형식명
2526한국건강관리협회 건강증진의원의원051-601-9700부산광역시 사상구 학감대로 230(감전동)MRI자기공명영상촬영장치(MRI)전신용SIGNA PioneerM-3.0-S
2627한국건강관리협회 건강증진의원의원051-601-9700부산광역시 사상구 학감대로 230(감전동)CT전산화단층촬영장치(CT)전신용Revolution FrontierWCT-840-140
2728한국건강관리협회 건강증진의원의원051-601-9700부산광역시 사상구 학감대로 230(감전동)유방촬영용장치유방촬영용장치(mammography)유방용Selenia Dimensions universalMHR-200-49
2829한국건강관리협회 건강증진의원의원051-601-9700부산광역시 사상구 학감대로 230(감전동)유방촬영용장치유방촬영용장치(mammography)유방용Selenia Dimensions universalMHR-200-49
2930한국보훈복지의료공단 부산보훈병원종합병원051-601-6000부산광역시 사상구 백양대로 420 (주례동)MRI자기공명영상촬영장치(MRI)전신용MAGNETOM Vida3.0T
3031한국보훈복지의료공단 부산보훈병원종합병원051-601-6000부산광역시 사상구 백양대로 420 (주례동)CT전산화단층촬영장치(CT)전신용Brilliance iCT EliteWCT-1000-140
3132한국보훈복지의료공단 부산보훈병원종합병원051-601-6000부산광역시 사상구 백양대로 420 (주례동)MRI자기공명영상촬영장치(MRI)전신용MAGNETOM Skyra3.0T
3233한국보훈복지의료공단 부산보훈병원종합병원051-601-6000부산광역시 사상구 백양대로 420 (주례동)CT전산화단층촬영장치(CT)전신용Brilliance iCTWCT-1000-140
3334한국보훈복지의료공단 부산보훈병원종합병원051-601-6000부산광역시 사상구 백양대로 420 (주례동)MRI자기공명영상촬영장치(MRI)전신용MAGNETOM Avanto1.5T
3435한국보훈복지의료공단 부산보훈병원종합병원051-601-6000부산광역시 사상구 백양대로 420 (주례동)유방촬영용장치유방촬영용장치(mammography)유방용Selenia Dimensions SystemMR-200-49