Overview

Dataset statistics

Number of variables4
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory36.2 B

Variable types

Numeric1
Text3

Dataset

Description목포시에 위치한 병원, 종합병원, 치과병원, 한방병원, 요양병원 등의 의료기관명,의료기관주소(도로명), 의료기관전화번호를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/3074323/fileData.do

Alerts

순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:30:48.416503
Analysis finished2023-12-12 08:30:48.855895
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T17:30:48.918539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-12T17:30:49.061033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

의료기관명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T17:30:49.273849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length8.9512195
Min length4

Characters and Unicode

Total characters367
Distinct characters97
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

Unique41 ?
Unique (%)100.0%

Sample

1st row목포더좋은요양병원
2nd row목포신세계병원
3rd row옥암힐요양병원
4th row부부요양병원
5th row마디정형외과병원
ValueCountFrequency (%)
의료법인 4
 
7.5%
목포더좋은요양병원 1
 
1.9%
목포아동병원 1
 
1.9%
예닮치과병원 1
 
1.9%
목포미래병원 1
 
1.9%
의료법인해민의료재단 1
 
1.9%
세안종합병원 1
 
1.9%
목포재활요양병원 1
 
1.9%
목포미즈아이병원 1
 
1.9%
제일내과병원 1
 
1.9%
Other values (40) 40
75.5%
2023-12-12T17:30:49.658993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
11.4%
40
 
10.9%
25
 
6.8%
25
 
6.8%
15
 
4.1%
15
 
4.1%
12
 
3.3%
12
 
3.3%
10
 
2.7%
9
 
2.5%
Other values (87) 162
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 352
95.9%
Space Separator 12
 
3.3%
Decimal Number 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
11.9%
40
 
11.4%
25
 
7.1%
25
 
7.1%
15
 
4.3%
15
 
4.3%
12
 
3.4%
10
 
2.8%
9
 
2.6%
9
 
2.6%
Other values (83) 150
42.6%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
95.9%
Common 15
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
11.9%
40
 
11.4%
25
 
7.1%
25
 
7.1%
15
 
4.3%
15
 
4.3%
12
 
3.4%
10
 
2.8%
9
 
2.6%
9
 
2.6%
Other values (83) 150
42.6%
Common
ValueCountFrequency (%)
12
80.0%
3 1
 
6.7%
6 1
 
6.7%
5 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 352
95.9%
ASCII 15
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
42
 
11.9%
40
 
11.4%
25
 
7.1%
25
 
7.1%
15
 
4.3%
15
 
4.3%
12
 
3.4%
10
 
2.8%
9
 
2.6%
9
 
2.6%
Other values (83) 150
42.6%
ASCII
ValueCountFrequency (%)
12
80.0%
3 1
 
6.7%
6 1
 
6.7%
5 1
 
6.7%
Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T17:30:49.918055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length24.414634
Min length20

Characters and Unicode

Total characters1001
Distinct characters89
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row전라남도 목포시 용당로 334-0 (용해동)
2nd row전라남도 목포시 백년대로 258 (상동)
3rd row전라남도 목포시 정의로 6-0 (옥암동)
4th row전라남도 목포시 영산로 620-1 (석현동)
5th row전라남도 목포시 백년대로 298-0, 4,5층 (상동,센트럴메디파크)
ValueCountFrequency (%)
전라남도 41
19.4%
목포시 41
19.4%
상동 16
 
7.6%
백년대로 11
 
5.2%
석현동 6
 
2.8%
영산로 5
 
2.4%
용해동 4
 
1.9%
옥암로 4
 
1.9%
옥암동 3
 
1.4%
청호로 2
 
0.9%
Other values (75) 78
37.0%
2023-12-12T17:30:50.333568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
170
 
17.0%
44
 
4.4%
43
 
4.3%
( 42
 
4.2%
42
 
4.2%
42
 
4.2%
) 42
 
4.2%
41
 
4.1%
41
 
4.1%
41
 
4.1%
Other values (79) 453
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 572
57.1%
Space Separator 170
 
17.0%
Decimal Number 147
 
14.7%
Open Punctuation 42
 
4.2%
Close Punctuation 42
 
4.2%
Other Punctuation 13
 
1.3%
Dash Punctuation 13
 
1.3%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
7.7%
43
 
7.5%
42
 
7.3%
42
 
7.3%
41
 
7.2%
41
 
7.2%
41
 
7.2%
41
 
7.2%
39
 
6.8%
19
 
3.3%
Other values (63) 179
31.3%
Decimal Number
ValueCountFrequency (%)
1 31
21.1%
2 25
17.0%
3 22
15.0%
4 13
8.8%
5 11
 
7.5%
0 10
 
6.8%
9 10
 
6.8%
6 9
 
6.1%
8 9
 
6.1%
7 7
 
4.8%
Space Separator
ValueCountFrequency (%)
170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 572
57.1%
Common 429
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
7.7%
43
 
7.5%
42
 
7.3%
42
 
7.3%
41
 
7.2%
41
 
7.2%
41
 
7.2%
41
 
7.2%
39
 
6.8%
19
 
3.3%
Other values (63) 179
31.3%
Common
ValueCountFrequency (%)
170
39.6%
( 42
 
9.8%
) 42
 
9.8%
1 31
 
7.2%
2 25
 
5.8%
3 22
 
5.1%
, 13
 
3.0%
4 13
 
3.0%
- 13
 
3.0%
5 11
 
2.6%
Other values (6) 47
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 572
57.1%
ASCII 429
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
170
39.6%
( 42
 
9.8%
) 42
 
9.8%
1 31
 
7.2%
2 25
 
5.8%
3 22
 
5.1%
, 13
 
3.0%
4 13
 
3.0%
- 13
 
3.0%
5 11
 
2.6%
Other values (6) 47
 
11.0%
Hangul
ValueCountFrequency (%)
44
 
7.7%
43
 
7.5%
42
 
7.3%
42
 
7.3%
41
 
7.2%
41
 
7.2%
41
 
7.2%
41
 
7.2%
39
 
6.8%
19
 
3.3%
Other values (63) 179
31.3%
Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T17:30:50.565228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.097561
Min length11

Characters and Unicode

Total characters496
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row061-246-7000
2nd row061-274-9000
3rd row061-281-7554
4th row061-989-9000
5th row061-287-0875
ValueCountFrequency (%)
061-246-7000 1
 
2.4%
061-800-9988 1
 
2.4%
061-801-8000 1
 
2.4%
061-284-7528 1
 
2.4%
061-800-1000 1
 
2.4%
061-260-6700 1
 
2.4%
061-280-6800 1
 
2.4%
061-260-8000 1
 
2.4%
061-287-8000 1
 
2.4%
061-284-0975 1
 
2.4%
Other values (31) 31
75.6%
2023-12-12T17:30:50.946368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 119
24.0%
- 81
16.3%
6 56
11.3%
1 52
10.5%
2 45
 
9.1%
8 41
 
8.3%
5 35
 
7.1%
7 30
 
6.0%
3 14
 
2.8%
4 13
 
2.6%
Other values (2) 10
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 414
83.5%
Dash Punctuation 81
 
16.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 119
28.7%
6 56
13.5%
1 52
12.6%
2 45
 
10.9%
8 41
 
9.9%
5 35
 
8.5%
7 30
 
7.2%
3 14
 
3.4%
4 13
 
3.1%
9 9
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 496
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 119
24.0%
- 81
16.3%
6 56
11.3%
1 52
10.5%
2 45
 
9.1%
8 41
 
8.3%
5 35
 
7.1%
7 30
 
6.0%
3 14
 
2.8%
4 13
 
2.6%
Other values (2) 10
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 496
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 119
24.0%
- 81
16.3%
6 56
11.3%
1 52
10.5%
2 45
 
9.1%
8 41
 
8.3%
5 35
 
7.1%
7 30
 
6.0%
3 14
 
2.8%
4 13
 
2.6%
Other values (2) 10
 
2.0%

Interactions

2023-12-12T17:30:48.603873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:30:51.047209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관명의료기관주소(도로명)의료기관전화번호
순번1.0001.0000.9451.000
의료기관명1.0001.0001.0001.000
의료기관주소(도로명)0.9451.0001.0001.000
의료기관전화번호1.0001.0001.0001.000

Missing values

2023-12-12T17:30:48.742171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:30:48.825578image/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

순번의료기관명의료기관주소(도로명)의료기관전화번호
01목포더좋은요양병원전라남도 목포시 용당로 334-0 (용해동)061-246-7000
12목포신세계병원전라남도 목포시 백년대로 258 (상동)061-274-9000
23옥암힐요양병원전라남도 목포시 정의로 6-0 (옥암동)061-281-7554
34부부요양병원전라남도 목포시 영산로 620-1 (석현동)061-989-9000
45마디정형외과병원전라남도 목포시 백년대로 298-0, 4,5층 (상동,센트럴메디파크)061-287-0875
56서울병원전라남도 목포시 청호로 109-0 (산정동)061-272-3333
67편안한방병원전라남도 목포시 후광대로 134-0, 1~5층 (옥암동)061-287-8573
78목포청연한방병원전라남도 목포시 청호로 6-1 (호남동,목포청연한방병원)061-982-3000
89한국한방병원전라남도 목포시 옥암로 121-0, 1동 (상동,신안빌딩)061-261-0075
910목포현대병원전라남도 목포시 용당로 322-1 (용해동)061-272-7588
순번의료기관명의료기관주소(도로명)의료기관전화번호
3132동신대학교부속 목포한방병원전라남도 목포시 백년대로 313 (상동)061-280-7700
3233목포한사랑병원전라남도 목포시 백년대로 335 (상동)061-280-5500,5557
3334의료법인목포구암의료재단 목포중앙병원전라남도 목포시 영산로 627 (석현동)061-280-3000
3435목포원광한방병원전라남도 목포시 하당로153번길 14 (상동)061-283-8004
3536의료법인 세양의료재단 신안병원전라남도 목포시 산정로 12 (동명동)061-242-0505
3637목포기독병원전라남도 목포시 백년대로 303 (상동)061-280-7500
3738목포한국병원전라남도 목포시 영산로 483 (상동)061-270-5500
3839목포시의료원전라남도 목포시 이로로 18 (용해동, (용해동))061260-6500
3940국립목포병원전라남도 목포시 신지마을1길 75 (석현동)061-280-1114
4041목포노동병원전라남도 목포시 수강로12번길 11-1 (행복동2가)061-242-5621