Overview

Dataset statistics

Number of variables6
Number of observations110
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description경상남도 밀양시 병원 현황에 대한 자료로, 연번, 병원 명, 병원 분류, 주소, 전화번호, 데이터 기준일자에 대한 정보를 제공합니다.
Author경상남도 밀양시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079245

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 병원분류High correlation
병원분류 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
병원명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 16:26:15.401650
Analysis finished2024-04-21 16:26:16.392897
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-22T01:26:16.533052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2024-04-22T01:26:16.790164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%

병원명
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-04-22T01:26:17.522097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length6.8454545
Min length3

Characters and Unicode

Total characters753
Distinct characters151
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st row나노병원
2nd row의료법인지원의료재단 굿모닝병원
3rd row미르아이병원
4th row의료법인 생명사랑의료재단 밀양윤병원
5th row행복한병원
ValueCountFrequency (%)
의원 6
 
4.8%
의료법인 2
 
1.6%
내과의원 2
 
1.6%
나노병원 1
 
0.8%
형제치과의원 1
 
0.8%
우리치과의원 1
 
0.8%
김치과 1
 
0.8%
탄탄치과 1
 
0.8%
시민치과의원 1
 
0.8%
미소치과의원 1
 
0.8%
Other values (108) 108
86.4%
2024-04-22T01:26:18.483048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 111
 
14.7%
의 109
 
14.5%
과 57
 
7.6%
한 30
 
4.0%
치 27
 
3.6%
양 22
 
2.9%
밀 17
 
2.3%
15
 
2.0%
병 13
 
1.7%
정 12
 
1.6%
Other values (141) 340
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 737
97.9%
Space Separator 15
 
2.0%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 111
 
15.1%
의 109
 
14.8%
과 57
 
7.7%
한 30
 
4.1%
치 27
 
3.7%
양 22
 
3.0%
밀 17
 
2.3%
병 13
 
1.8%
정 12
 
1.6%
인 12
 
1.6%
Other values (139) 327
44.4%
Space Separator
ValueCountFrequency (%)
15
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 737
97.9%
Common 15
 
2.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 111
 
15.1%
의 109
 
14.8%
과 57
 
7.7%
한 30
 
4.1%
치 27
 
3.7%
양 22
 
3.0%
밀 17
 
2.3%
병 13
 
1.8%
정 12
 
1.6%
인 12
 
1.6%
Other values (139) 327
44.4%
Common
ValueCountFrequency (%)
15
100.0%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 737
97.9%
ASCII 16
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 111
 
15.1%
의 109
 
14.8%
과 57
 
7.7%
한 30
 
4.1%
치 27
 
3.7%
양 22
 
3.0%
밀 17
 
2.3%
병 13
 
1.8%
정 12
 
1.6%
인 12
 
1.6%
Other values (139) 327
44.4%
ASCII
ValueCountFrequency (%)
15
93.8%
e 1
 
6.2%

병원분류
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size1008.0 B
의원
47 
치과의원
26 
한의원
24 
병원
7 
요양병원(일반요양병원)
 
4
Other values (2)
 
2

Length

Max length12
Median length4
Mean length3.0909091
Min length2

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
의원 47
42.7%
치과의원 26
23.6%
한의원 24
21.8%
병원 7
 
6.4%
요양병원(일반요양병원) 4
 
3.6%
정신병원 1
 
0.9%
한방병원 1
 
0.9%

Length

2024-04-22T01:26:18.710974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:26:18.901137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 47
42.7%
치과의원 26
23.6%
한의원 24
21.8%
병원 7
 
6.4%
요양병원(일반요양병원 4
 
3.6%
정신병원 1
 
0.9%
한방병원 1
 
0.9%

주소
Text

Distinct107
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-04-22T01:26:19.967135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length20.045455
Min length14

Characters and Unicode

Total characters2205
Distinct characters102
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)94.5%

Sample

1st row밀양시 중앙로 229 (삼문동)
2nd row밀양시 용평로5길 4-20 (용평동)
3rd row밀양시 미리벌중앙로 67, 2~4층 (삼문동)
4th row밀양시 삼문중앙로 32 (삼문동)
5th row밀양시 하남읍 수산중앙로 56-2
ValueCountFrequency (%)
밀양시 110
22.2%
삼문동 35
 
7.1%
내이동 33
 
6.7%
중앙로 24
 
4.8%
삼문중앙로 15
 
3.0%
2층 15
 
3.0%
북성로 13
 
2.6%
하남읍 9
 
1.8%
내일동 9
 
1.8%
삼랑진읍 7
 
1.4%
Other values (148) 226
45.6%
2024-04-22T01:26:21.356831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
388
17.6%
밀 121
 
5.5%
양 120
 
5.4%
시 111
 
5.0%
로 95
 
4.3%
동 91
 
4.1%
( 87
 
3.9%
) 87
 
3.9%
1 82
 
3.7%
2 68
 
3.1%
Other values (92) 955
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1187
53.8%
Space Separator 388
 
17.6%
Decimal Number 366
 
16.6%
Open Punctuation 87
 
3.9%
Close Punctuation 87
 
3.9%
Other Punctuation 47
 
2.1%
Dash Punctuation 38
 
1.7%
Math Symbol 4
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
밀 121
 
10.2%
양 120
 
10.1%
시 111
 
9.4%
로 95
 
8.0%
동 91
 
7.7%
삼 61
 
5.1%
문 53
 
4.5%
중 51
 
4.3%
앙 49
 
4.1%
내 47
 
4.0%
Other values (75) 388
32.7%
Decimal Number
ValueCountFrequency (%)
1 82
22.4%
2 68
18.6%
4 46
12.6%
3 46
12.6%
5 32
 
8.7%
9 21
 
5.7%
0 20
 
5.5%
6 18
 
4.9%
8 17
 
4.6%
7 16
 
4.4%
Space Separator
ValueCountFrequency (%)
388
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Other Punctuation
ValueCountFrequency (%)
, 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1187
53.8%
Common 1017
46.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
밀 121
 
10.2%
양 120
 
10.1%
시 111
 
9.4%
로 95
 
8.0%
동 91
 
7.7%
삼 61
 
5.1%
문 53
 
4.5%
중 51
 
4.3%
앙 49
 
4.1%
내 47
 
4.0%
Other values (75) 388
32.7%
Common
ValueCountFrequency (%)
388
38.2%
( 87
 
8.6%
) 87
 
8.6%
1 82
 
8.1%
2 68
 
6.7%
, 47
 
4.6%
4 46
 
4.5%
3 46
 
4.5%
- 38
 
3.7%
5 32
 
3.1%
Other values (6) 96
 
9.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1187
53.8%
ASCII 1018
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
388
38.1%
( 87
 
8.5%
) 87
 
8.5%
1 82
 
8.1%
2 68
 
6.7%
, 47
 
4.6%
4 46
 
4.5%
3 46
 
4.5%
- 38
 
3.7%
5 32
 
3.1%
Other values (7) 97
 
9.5%
Hangul
ValueCountFrequency (%)
밀 121
 
10.2%
양 120
 
10.1%
시 111
 
9.4%
로 95
 
8.0%
동 91
 
7.7%
삼 61
 
5.1%
문 53
 
4.5%
중 51
 
4.3%
앙 49
 
4.1%
내 47
 
4.0%
Other values (75) 388
32.7%

전화번호
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2024-04-22T01:26:22.196336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.018182
Min length12

Characters and Unicode

Total characters1322
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

Unique110 ?
Unique (%)100.0%

Sample

1st row055-351-1600
2nd row055-355-9788
3rd row055-716-1275
4th row055-354-2200
5th row055-391-0090
ValueCountFrequency (%)
055-351-1600 1
 
0.9%
055-351-2754 1
 
0.9%
055-353-0828 1
 
0.9%
055-356-5204 1
 
0.9%
055-352-5742 1
 
0.9%
055-352-2345 1
 
0.9%
055-352-2324 1
 
0.9%
055-351-2101 1
 
0.9%
055-353-9599 1
 
0.9%
055-391-2891 1
 
0.9%
Other values (100) 100
90.9%
2024-04-22T01:26:23.280235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 395
29.9%
- 220
16.6%
0 193
14.6%
3 157
 
11.9%
2 76
 
5.7%
1 65
 
4.9%
7 62
 
4.7%
9 40
 
3.0%
8 40
 
3.0%
6 39
 
3.0%
Other values (2) 35
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1101
83.3%
Dash Punctuation 220
 
16.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 395
35.9%
0 193
17.5%
3 157
 
14.3%
2 76
 
6.9%
1 65
 
5.9%
7 62
 
5.6%
9 40
 
3.6%
8 40
 
3.6%
6 39
 
3.5%
4 34
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1322
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 395
29.9%
- 220
16.6%
0 193
14.6%
3 157
 
11.9%
2 76
 
5.7%
1 65
 
4.9%
7 62
 
4.7%
9 40
 
3.0%
8 40
 
3.0%
6 39
 
3.0%
Other values (2) 35
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1322
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 395
29.9%
- 220
16.6%
0 193
14.6%
3 157
 
11.9%
2 76
 
5.7%
1 65
 
4.9%
7 62
 
4.7%
9 40
 
3.0%
8 40
 
3.0%
6 39
 
3.0%
Other values (2) 35
 
2.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1008.0 B
2023-08-21
110 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-21
2nd row2023-08-21
3rd row2023-08-21
4th row2023-08-21
5th row2023-08-21

Common Values

ValueCountFrequency (%)
2023-08-21 110
100.0%

Length

2024-04-22T01:26:23.504132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T01:26:23.659543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-21 110
100.0%

Interactions

2024-04-22T01:26:15.748498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T01:26:23.753379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번병원분류
연번1.0000.851
병원분류0.8511.000
2024-04-22T01:26:23.887682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번병원분류
연번1.0000.645
병원분류0.6451.000

Missing values

2024-04-22T01:26:16.069439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T01:26:16.322393image/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

연번병원명병원분류주소전화번호데이터기준일자
01나노병원병원밀양시 중앙로 229 (삼문동)055-351-16002023-08-21
12의료법인지원의료재단 굿모닝병원병원밀양시 용평로5길 4-20 (용평동)055-355-97882023-08-21
23미르아이병원병원밀양시 미리벌중앙로 67, 2~4층 (삼문동)055-716-12752023-08-21
34의료법인 생명사랑의료재단 밀양윤병원병원밀양시 삼문중앙로 32 (삼문동)055-354-22002023-08-21
45행복한병원병원밀양시 하남읍 수산중앙로 56-2055-391-00902023-08-21
56밀양병원병원밀양시 밀양대로 1823 (삼문동)055-351-39932023-08-21
67제일병원병원밀양시 노상하4길 4 (내이동)055-352-78512023-08-21
78갤러리의아침요양병원요양병원(일반요양병원)밀양시 내이신촌1길 14 (내이동)055-352-20062023-08-21
89좋은연인요양병원요양병원(일반요양병원)밀양시 삼랑진읍 천태로 355-99055-350-98002023-08-21
910의료법인 행복한의료재단 숲속요양병원요양병원(일반요양병원)밀양시 단장면 동화2길 36-59055-356-61192023-08-21
연번병원명병원분류주소전화번호데이터기준일자
100101명제한의원한의원밀양시 중앙로 383 (내이동)055-353-11002023-08-21
101102밀양삼세한의원한의원밀양시 상동면 상동로 396055-352-22572023-08-21
102103지산한의원한의원밀양시 밀양중2길 8 (삼문동)055-356-36902023-08-21
103104수창한의원한의원밀양시 하남읍 수산중앙로 25-1055-391-71282023-08-21
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