Overview

Dataset statistics

Number of variables8
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory71.5 B

Variable types

Numeric2
Categorical3
Text3

Dataset

Description부산광역시 연제구 의료기관 중 특수의료장비에 대해 공동활용가능 현항 데이터로 의료기관의 명칭, 소재지, 병상수, 가능 특수의료장비 명칭
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15048090/fileData.do

Alerts

공동활용여부 has constant value ""Constant
순번 is highly overall correlated with 의료장비종류High correlation
병상 is highly overall correlated with 종별High correlation
의료장비종류 is highly overall correlated with 순번High correlation
종별 is highly overall correlated with 병상High correlation
종별 is highly imbalanced (58.6%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:34:44.491011
Analysis finished2023-12-12 04:34:45.541362
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T13:34:45.622751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-12T13:34:45.759311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

의료장비종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
MRI
19 
CT
5 

Length

Max length3
Median length3
Mean length2.7916667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
MRI 19
79.2%
CT 5
 
20.8%

Length

2023-12-12T13:34:45.912145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:34:46.032151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mri 19
79.2%
ct 5
 
20.8%

의료기관명
Text

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T13:34:46.220247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.4166667
Min length4

Characters and Unicode

Total characters178
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)58.3%

Sample

1st row새론의원
2nd row미래안과의원
3rd row유외과의원
4th row김앨빈유외과의원
5th row드림나라병원
ValueCountFrequency (%)
새론의원 2
 
8.3%
드림나라병원 2
 
8.3%
미래안과의원 2
 
8.3%
유외과의원 2
 
8.3%
김앨빈유외과의원 2
 
8.3%
포이즌흉부외과의원 1
 
4.2%
부산행복이비인후과의원 1
 
4.2%
손영광이비인후과의원 1
 
4.2%
한사랑외과의원 1
 
4.2%
시원비뇨기과의원 1
 
4.2%
Other values (9) 9
37.5%
2023-12-12T13:34:46.608799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 25
 
14.0%
의 23
 
12.9%
과 18
 
10.1%
이 8
 
4.5%
외 7
 
3.9%
비 7
 
3.9%
후 5
 
2.8%
인 5
 
2.8%
유 4
 
2.2%
안 3
 
1.7%
Other values (54) 73
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 25
 
14.0%
의 23
 
12.9%
과 18
 
10.1%
이 8
 
4.5%
외 7
 
3.9%
비 7
 
3.9%
후 5
 
2.8%
인 5
 
2.8%
유 4
 
2.2%
안 3
 
1.7%
Other values (54) 73
41.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 25
 
14.0%
의 23
 
12.9%
과 18
 
10.1%
이 8
 
4.5%
외 7
 
3.9%
비 7
 
3.9%
후 5
 
2.8%
인 5
 
2.8%
유 4
 
2.2%
안 3
 
1.7%
Other values (54) 73
41.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 25
 
14.0%
의 23
 
12.9%
과 18
 
10.1%
이 8
 
4.5%
외 7
 
3.9%
비 7
 
3.9%
후 5
 
2.8%
인 5
 
2.8%
유 4
 
2.2%
안 3
 
1.7%
Other values (54) 73
41.0%

종별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
의원
22 
병원
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 22
91.7%
병원 2
 
8.3%

Length

2023-12-12T13:34:46.747594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:34:46.844280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 22
91.7%
병원 2
 
8.3%

의료기관주소(도로명)
Text

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T13:34:46.995242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length27.833333
Min length22

Characters and Unicode

Total characters668
Distinct characters51
Distinct categories6 ?
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 (%)66.7%

Sample

1st row부산광역시 연제구 반송로 8, 4층 (연산동)
2nd row부산광역시 연제구 중앙대로 1112, 3층 (연산동)
3rd row부산광역시 연제구 월드컵대로125,13층(연산동)
4th row부산광역시 연제구 월드컵대로125,2층(연산동)
5th row부산광역시 연제구 중앙대로 1175(거제동)
ValueCountFrequency (%)
부산광역시 24
18.2%
연제구 24
18.2%
연산동 17
12.9%
중앙대로 11
 
8.3%
반송로 4
 
3.0%
4층 4
 
3.0%
5층 4
 
3.0%
8 3
 
2.3%
7층 2
 
1.5%
월드컵대로 2
 
1.5%
Other values (30) 37
28.0%
2023-12-12T13:34:47.332719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
16.2%
연 47
 
7.0%
산 46
 
6.9%
1 34
 
5.1%
제 26
 
3.9%
부 25
 
3.7%
로 24
 
3.6%
) 24
 
3.6%
동 24
 
3.6%
( 24
 
3.6%
Other values (41) 286
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 393
58.8%
Space Separator 108
 
16.2%
Decimal Number 97
 
14.5%
Close Punctuation 24
 
3.6%
Open Punctuation 24
 
3.6%
Other Punctuation 22
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 47
12.0%
산 46
11.7%
제 26
 
6.6%
부 25
 
6.4%
로 24
 
6.1%
동 24
 
6.1%
광 24
 
6.1%
역 24
 
6.1%
구 24
 
6.1%
시 24
 
6.1%
Other values (27) 105
26.7%
Decimal Number
ValueCountFrequency (%)
1 34
35.1%
2 13
 
13.4%
5 10
 
10.3%
7 8
 
8.2%
3 8
 
8.2%
0 7
 
7.2%
8 6
 
6.2%
9 5
 
5.2%
4 4
 
4.1%
6 2
 
2.1%
Space Separator
ValueCountFrequency (%)
108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
58.8%
Common 275
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 47
12.0%
산 46
11.7%
제 26
 
6.6%
부 25
 
6.4%
로 24
 
6.1%
동 24
 
6.1%
광 24
 
6.1%
역 24
 
6.1%
구 24
 
6.1%
시 24
 
6.1%
Other values (27) 105
26.7%
Common
ValueCountFrequency (%)
108
39.3%
1 34
 
12.4%
) 24
 
8.7%
( 24
 
8.7%
, 22
 
8.0%
2 13
 
4.7%
5 10
 
3.6%
7 8
 
2.9%
3 8
 
2.9%
0 7
 
2.5%
Other values (4) 17
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 393
58.8%
ASCII 275
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
39.3%
1 34
 
12.4%
) 24
 
8.7%
( 24
 
8.7%
, 22
 
8.0%
2 13
 
4.7%
5 10
 
3.6%
7 8
 
2.9%
3 8
 
2.9%
0 7
 
2.5%
Other values (4) 17
 
6.2%
Hangul
ValueCountFrequency (%)
연 47
12.0%
산 46
11.7%
제 26
 
6.6%
부 25
 
6.4%
로 24
 
6.1%
동 24
 
6.1%
광 24
 
6.1%
역 24
 
6.1%
구 24
 
6.1%
시 24
 
6.1%
Other values (27) 105
26.7%

전화번호
Text

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T13:34:47.505543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique14 ?
Unique (%)58.3%

Sample

1st row051-868-5383
2nd row051-862-5700
3rd row051-963-1200
4th row051-963-1000
5th row051-853-3636
ValueCountFrequency (%)
051-868-5383 2
 
8.3%
051-853-3636 2
 
8.3%
051-862-5700 2
 
8.3%
051-963-1200 2
 
8.3%
051-963-1000 2
 
8.3%
051-851-7441 1
 
4.2%
051-852-8553 1
 
4.2%
051-852-7800 1
 
4.2%
051-852-0042 1
 
4.2%
051-760-1616 1
 
4.2%
Other values (9) 9
37.5%
2023-12-12T13:34:47.785315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
17.7%
5 49
17.0%
- 48
16.7%
1 39
13.5%
8 23
8.0%
6 22
7.6%
3 17
 
5.9%
7 15
 
5.2%
2 12
 
4.2%
9 7
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
21.2%
5 49
20.4%
1 39
16.2%
8 23
9.6%
6 22
9.2%
3 17
 
7.1%
7 15
 
6.2%
2 12
 
5.0%
9 7
 
2.9%
4 5
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
17.7%
5 49
17.0%
- 48
16.7%
1 39
13.5%
8 23
8.0%
6 22
7.6%
3 17
 
5.9%
7 15
 
5.2%
2 12
 
4.2%
9 7
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
17.7%
5 49
17.0%
- 48
16.7%
1 39
13.5%
8 23
8.0%
6 22
7.6%
3 17
 
5.9%
7 15
 
5.2%
2 12
 
4.2%
9 7
 
2.4%

병상
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.041667
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T13:34:48.119238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3
Q36
95-th percentile73.2
Maximum81
Range80
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation22.676322
Coefficient of variation (CV)1.8831548
Kurtosis6.2948311
Mean12.041667
Median Absolute Deviation (MAD)2
Skewness2.63839
Sum289
Variance514.21558
MonotonicityNot monotonic
2023-12-12T13:34:48.209495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 6
25.0%
2 5
20.8%
4 4
16.7%
29 2
 
8.3%
81 2
 
8.3%
3 2
 
8.3%
5 1
 
4.2%
9 1
 
4.2%
17 1
 
4.2%
ValueCountFrequency (%)
1 6
25.0%
2 5
20.8%
3 2
 
8.3%
4 4
16.7%
5 1
 
4.2%
9 1
 
4.2%
17 1
 
4.2%
29 2
 
8.3%
81 2
 
8.3%
ValueCountFrequency (%)
81 2
 
8.3%
29 2
 
8.3%
17 1
 
4.2%
9 1
 
4.2%
5 1
 
4.2%
4 4
16.7%
3 2
 
8.3%
2 5
20.8%
1 6
25.0%

공동활용여부
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
가능
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 24
100.0%

Length

2023-12-12T13:34:48.314235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:34:48.389591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 24
100.0%

Interactions

2023-12-12T13:34:45.068241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:34:44.848561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:34:45.181862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:34:44.967859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:34:48.446874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료장비종류의료기관명종별의료기관주소(도로명)전화번호병상
순번1.0001.0000.6810.0000.6440.5990.000
의료장비종류1.0001.0000.0000.0000.0000.0000.000
의료기관명0.6810.0001.0001.0000.9900.9991.000
종별0.0000.0001.0001.0001.0001.0001.000
의료기관주소(도로명)0.6440.0000.9901.0001.0001.0001.000
전화번호0.5990.0000.9991.0001.0001.0001.000
병상0.0000.0001.0001.0001.0001.0001.000
2023-12-12T13:34:48.561081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별의료장비종류
종별1.0000.000
의료장비종류0.0001.000
2023-12-12T13:34:48.650155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번병상의료장비종류종별
순번1.0000.3770.7980.000
병상0.3771.0000.0000.953
의료장비종류0.7980.0001.0000.000
종별0.0000.9530.0001.000

Missing values

2023-12-12T13:34:45.354318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:34:45.484312image/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

순번의료장비종류의료기관명종별의료기관주소(도로명)전화번호병상공동활용여부
01CT새론의원의원부산광역시 연제구 반송로 8, 4층 (연산동)051-868-53834가능
12CT미래안과의원의원부산광역시 연제구 중앙대로 1112, 3층 (연산동)051-862-57001가능
23CT유외과의원의원부산광역시 연제구 월드컵대로125,13층(연산동)051-963-120029가능
34CT김앨빈유외과의원의원부산광역시 연제구 월드컵대로125,2층(연산동)051-963-10002가능
45CT드림나라병원병원부산광역시 연제구 중앙대로 1175(거제동)051-853-363681가능
56MRI우리이비인후과의원의원부산광역시 연제구 안연로 36, 4층 (연산동)051-755-51191가능
67MRI참조은마취통증의학과의원의원부산광역시 연제구 반송로 6, 7층 (연산동)051-851-00752가능
78MRI센트럴이비인후과의원의원부산광역시 연제구 고분로 2, 2층 (연산동)051-862-62421가능
89MRI윤준호이비인후과의원의원부산광역시 연제구 과정로 102, 2층 (연산동)051-751-09151가능
910MRI포이즌흉부외과의원의원부산광역시 연제구 월드컵대로 139 (연산동, 4층 일부)051-851-74413가능
순번의료장비종류의료기관명종별의료기관주소(도로명)전화번호병상공동활용여부
1415MRI이안과의원의원부산광역시 연제구 중앙대로 1129 (연산동)051-866-75924가능
1516MRI초이스의원의원부산광역시 연제구 중앙대로 1080, 디오빌 5층 (연산동)051-853-30705가능
1617MRI새론의원의원부산광역시 연제구 중앙대로 1077, 상계빌딩 5층, 8층 (연산동)051-760-16164가능
1718MRI시원비뇨기과의원의원부산광역시 연제구 반송로 8, 5층 (연산동)051-852-00424가능
1819MRI김앨빈유외과의원의원부산광역시 연제구 월드컵대로125,2층(연산동)051-963-10002가능
1920MRI한사랑외과의원의원부산광역시 연제구 중앙대로 1131, 5층 (연산동)051-852-78009가능
2021MRI손영광이비인후과의원의원부산광역시 연제구 반송로 8, 4층 (연산동)051-868-53832가능
2122MRI풋사랑정형외과의원의원부산광역시 연제구 중앙천로 93(연산동)051-715-710017가능
2223MRI유외과의원의원부산광역시 연제구 월드컵대로 125,13층(연산동)051-963-120029가능
2324MRI드림나라병원병원부산광역시 연제구 중앙대로 1175(거제동)051-853-363681가능