Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory47.1 B

Variable types

Numeric2
Text1
Categorical2

Dataset

Description부산광역시 남구에 소재하고 있는 의원,병원,한방병원의 병상수 및 특수의료장비의 병상 공동활용 동의 여부의 자료제공
Author부산광역시 남구
URLhttps://www.data.go.kr/data/15112318/fileData.do

Alerts

순번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 13:32:28.677469
Analysis finished2024-03-14 13:32:30.475781
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-14T22:32:30.675733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-03-14T22:32:31.074089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

의료기관명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-14T22:32:31.874881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length8.44
Min length5

Characters and Unicode

Total characters211
Distinct characters83
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

Unique25 ?
Unique (%)100.0%

Sample

1st row강한정형외과의원
2nd row김용대정형외과의원
3rd row대연본안과의원
4th row대연으뜸내과의원
5th row대연탑비뇨의학과의원
ValueCountFrequency (%)
강한정형외과의원 1
 
4.0%
성심외과의원 1
 
4.0%
코앤핑이비인후과의원 1
 
4.0%
치항외과의원 1
 
4.0%
장동한학문외과의원 1
 
4.0%
이정형외과의원 1
 
4.0%
이기대정형외과의원 1
 
4.0%
의료법인정화의료재단봉생힐링병원 1
 
4.0%
윤현기정형외과의원 1
 
4.0%
위대항병원 1
 
4.0%
Other values (15) 15
60.0%
2024-03-14T22:32:33.103530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
11.8%
24
 
11.4%
19
 
9.0%
9
 
4.3%
7
 
3.3%
6
 
2.8%
6
 
2.8%
6
 
2.8%
5
 
2.4%
4
 
1.9%
Other values (73) 100
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
11.8%
24
 
11.4%
19
 
9.0%
9
 
4.3%
7
 
3.3%
6
 
2.8%
6
 
2.8%
6
 
2.8%
5
 
2.4%
4
 
1.9%
Other values (73) 100
47.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
11.8%
24
 
11.4%
19
 
9.0%
9
 
4.3%
7
 
3.3%
6
 
2.8%
6
 
2.8%
6
 
2.8%
5
 
2.4%
4
 
1.9%
Other values (73) 100
47.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
25
 
11.8%
24
 
11.4%
19
 
9.0%
9
 
4.3%
7
 
3.3%
6
 
2.8%
6
 
2.8%
6
 
2.8%
5
 
2.4%
4
 
1.9%
Other values (73) 100
47.4%

병상수
Real number (ℝ)

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.04
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-14T22:32:33.467554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.2
Q14
median11
Q329
95-th percentile86.2
Maximum150
Range149
Interquartile range (IQR)25

Descriptive statistics

Standard deviation34.014066
Coefficient of variation (CV)1.4148946
Kurtosis7.7978578
Mean24.04
Median Absolute Deviation (MAD)9
Skewness2.631372
Sum601
Variance1156.9567
MonotonicityNot monotonic
2024-03-14T22:32:33.847747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 3
 
12.0%
29 2
 
8.0%
5 2
 
8.0%
1 2
 
8.0%
51 2
 
8.0%
4 2
 
8.0%
27 1
 
4.0%
95 1
 
4.0%
3 1
 
4.0%
11 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
1 2
8.0%
2 3
12.0%
3 1
 
4.0%
4 2
8.0%
5 2
8.0%
6 1
 
4.0%
7 1
 
4.0%
11 1
 
4.0%
19 1
 
4.0%
20 1
 
4.0%
ValueCountFrequency (%)
150 1
4.0%
95 1
4.0%
51 2
8.0%
30 1
4.0%
29 2
8.0%
27 1
4.0%
24 1
4.0%
23 1
4.0%
20 1
4.0%
19 1
4.0%
Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
불가능
19 
가능

Length

Max length3
Median length3
Mean length2.76
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불가능 19
76.0%
가능 6
 
24.0%

Length

2024-03-14T22:32:34.269018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:32:34.589972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가능 19
76.0%
가능 6
 
24.0%
Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
가능
13 
불가능
12 

Length

Max length3
Median length2
Mean length2.48
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 13
52.0%
불가능 12
48.0%

Length

2024-03-14T22:32:34.930924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T22:32:35.167518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 13
52.0%
불가능 12
48.0%

Interactions

2024-03-14T22:32:29.414914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:32:28.928910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:32:29.665950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T22:32:29.165769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T22:32:35.276421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명병상수컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)자기공명영상촬영장치(MRI-공동활용동의 가능 여부)
순번1.0001.0000.4340.3830.528
의료기관명1.0001.0001.0001.0001.000
병상수0.4341.0001.0000.3640.430
컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)0.3831.0000.3641.0000.597
자기공명영상촬영장치(MRI-공동활용동의 가능 여부)0.5281.0000.4300.5971.000
2024-03-14T22:32:35.493955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자기공명영상촬영장치(MRI-공동활용동의 가능 여부)컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)
자기공명영상촬영장치(MRI-공동활용동의 가능 여부)1.0000.405
컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)0.4051.000
2024-03-14T22:32:35.746901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번병상수컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)자기공명영상촬영장치(MRI-공동활용동의 가능 여부)
순번1.0000.1600.2050.106
병상수0.1601.0000.4070.483
컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)0.2050.4071.0000.405
자기공명영상촬영장치(MRI-공동활용동의 가능 여부)0.1060.4830.4051.000

Missing values

2024-03-14T22:32:30.011272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T22:32:30.337485image/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

순번의료기관명병상수컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)자기공명영상촬영장치(MRI-공동활용동의 가능 여부)
01강한정형외과의원29불가능불가능
12김용대정형외과의원19불가능가능
23대연본안과의원5가능가능
34대연으뜸내과의원2가능가능
45대연탑비뇨의학과의원1가능가능
56못골이비인후과의원1불가능가능
67바른눈안과의원7불가능가능
78박현용내과의원24불가능불가능
89배성범정형외과의원20불가능불가능
910부산더존한방병원51불가능불가능
순번의료기관명병상수컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)자기공명영상촬영장치(MRI-공동활용동의 가능 여부)
1516온누리메디칼의원4불가능가능
1617위대항병원30불가능가능
1718윤현기정형외과의원27불가능불가능
1819의료법인정화의료재단봉생힐링병원150가능가능
1920이기대정형외과의원23불가능불가능
2021이정형외과의원11불가능불가능
2122장동한학문외과의원4불가능불가능
2223치항외과의원5불가능가능
2324코앤핑이비인후과의원3가능가능
2425파크사이드재활의학병원95불가능불가능