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 memory47.3 B

Variable types

Numeric2
Text1
Categorical2

Dataset

Description부산광역시남구_특수의료장비병상수공동활용동의현황_20230808
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15112318

Alerts

순번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:44:32.975373
Analysis finished2023-12-10 17:44:34.760936
Duration1.79 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 size357.0 B
2023-12-11T02:44:34.905847image/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
2023-12-11T02:44:35.185168image/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 size332.0 B
2023-12-11T02:44:35.643120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length8.32
Min length4

Characters and Unicode

Total characters208
Distinct characters84
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 row다나의원
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%
2023-12-11T02:44:36.469717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
12.0%
24
 
11.5%
18
 
8.7%
9
 
4.3%
7
 
3.4%
6
 
2.9%
6
 
2.9%
5
 
2.4%
5
 
2.4%
4
 
1.9%
Other values (74) 99
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
12.0%
24
 
11.5%
18
 
8.7%
9
 
4.3%
7
 
3.4%
6
 
2.9%
6
 
2.9%
5
 
2.4%
5
 
2.4%
4
 
1.9%
Other values (74) 99
47.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
12.0%
24
 
11.5%
18
 
8.7%
9
 
4.3%
7
 
3.4%
6
 
2.9%
6
 
2.9%
5
 
2.4%
5
 
2.4%
4
 
1.9%
Other values (74) 99
47.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
25
 
12.0%
24
 
11.5%
18
 
8.7%
9
 
4.3%
7
 
3.4%
6
 
2.9%
6
 
2.9%
5
 
2.4%
5
 
2.4%
4
 
1.9%
Other values (74) 99
47.6%

병상수
Real number (ℝ)

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T02:44:36.747613image/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 deviation34.037969
Coefficient of variation (CV)1.4182487
Kurtosis7.7821752
Mean24
Median Absolute Deviation (MAD)9
Skewness2.6283485
Sum600
Variance1158.5833
MonotonicityNot monotonic
2023-12-11T02:44:37.132026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4 3
 
12.0%
2 3
 
12.0%
29 2
 
8.0%
1 2
 
8.0%
51 2
 
8.0%
150 1
 
4.0%
95 1
 
4.0%
3 1
 
4.0%
5 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 3
12.0%
5 1
 
4.0%
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 size332.0 B
불가능
18 
가능

Length

Max length3
Median length3
Mean length2.72
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불가능 18
72.0%
가능 7
 
28.0%

Length

2023-12-11T02:44:37.482068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:44:37.769615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가능 18
72.0%
가능 7
 
28.0%
Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
가능
15 
불가능
10 

Length

Max length3
Median length2
Mean length2.4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가능 15
60.0%
불가능 10
40.0%

Length

2023-12-11T02:44:38.024971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:44:38.270746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 15
60.0%
불가능 10
40.0%

Interactions

2023-12-11T02:44:33.892057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:44:33.491106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:44:34.106559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:44:33.681046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:44:38.447474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명병상수컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)자기공명영상촬영장치(MRI-공동활용동의 가능 여부)
순번1.0001.0000.4340.5400.543
의료기관명1.0001.0001.0001.0001.000
병상수0.4341.0001.0000.2110.312
컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)0.5401.0000.2111.0000.555
자기공명영상촬영장치(MRI-공동활용동의 가능 여부)0.5431.0000.3120.5551.000
2023-12-11T02:44:38.685366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)자기공명영상촬영장치(MRI-공동활용동의 가능 여부)
컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)1.0000.373
자기공명영상촬영장치(MRI-공동활용동의 가능 여부)0.3731.000
2023-12-11T02:44:38.940046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번병상수컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)자기공명영상촬영장치(MRI-공동활용동의 가능 여부)
순번1.0000.1800.3160.319
병상수0.1801.0000.2270.347
컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)0.3160.2271.0000.373
자기공명영상촬영장치(MRI-공동활용동의 가능 여부)0.3190.3470.3731.000

Missing values

2023-12-11T02:44:34.386534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:44:34.645274image/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)
01강한정형외과의원29가능가능
12김용대정형외과의원19불가능가능
23다나의원4가능가능
34대연으뜸내과의원2가능가능
45대연탑비뇨의학과의원1가능가능
56못골이비인후과의원1불가능가능
67바른눈안과의원7불가능가능
78박현용내과의원24불가능불가능
89배성범정형외과의원20불가능불가능
910부산아동병원51불가능불가능
순번의료기관명병상수컴퓨터단층촬영장치(CT-공동활용동의 가능 여부)자기공명영상촬영장치(MRI-공동활용동의 가능 여부)
1516온누리메디칼의원4불가능가능
1617위대항병원30불가능가능
1718윤현기정형외과의원27불가능불가능
1819의료법인정화의료재단봉생힐링병원150가능가능
1920이기대정형외과의원23불가능불가능
2021이정형외과의원11불가능불가능
2122장동한학문외과의원4불가능불가능
2223치항외과의원5불가능가능
2324코앤핑이비인후과의원3가능가능
2425파크사이드재활의학병원95불가능불가능