Overview

Dataset statistics

Number of variables10
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory88.3 B

Variable types

Text6
Categorical2
Numeric2

Dataset

Description응급의료기관 목록정보 조회
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2632

Alerts

응급의료기관분류 is highly overall correlated with 응급의료기관분류명High correlation
응급의료기관분류명 is highly overall correlated with 응급의료기관분류High correlation
기관ID has unique valuesUnique
기관ID(OLD) has unique valuesUnique
주소 has unique valuesUnique
기관명 has unique valuesUnique
대표전화1 has unique valuesUnique
응급실전화 has unique valuesUnique
병원경도 has unique valuesUnique
병원위도 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:26:40.734361
Analysis finished2024-01-09 20:26:41.564576
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관ID
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T05:26:41.675554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters168
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowA2402812
2nd rowA2400002
3rd rowA2400008
4th rowA2400019
5th rowA2400003
ValueCountFrequency (%)
a2402812 1
 
4.8%
a2400011 1
 
4.8%
a2400001 1
 
4.8%
a2400038 1
 
4.8%
e2400033 1
 
4.8%
a2400007 1
 
4.8%
a2400005 1
 
4.8%
a2400006 1
 
4.8%
a2400010 1
 
4.8%
e2400032 1
 
4.8%
Other values (11) 11
52.4%
2024-01-10T05:26:41.949629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
41.1%
2 28
16.7%
4 24
 
14.3%
A 19
 
11.3%
1 8
 
4.8%
3 6
 
3.6%
8 3
 
1.8%
9 3
 
1.8%
5 3
 
1.8%
7 2
 
1.2%
Other values (2) 3
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 147
87.5%
Uppercase Letter 21
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
46.9%
2 28
19.0%
4 24
 
16.3%
1 8
 
5.4%
3 6
 
4.1%
8 3
 
2.0%
9 3
 
2.0%
5 3
 
2.0%
7 2
 
1.4%
6 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
A 19
90.5%
E 2
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common 147
87.5%
Latin 21
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
46.9%
2 28
19.0%
4 24
 
16.3%
1 8
 
5.4%
3 6
 
4.1%
8 3
 
2.0%
9 3
 
2.0%
5 3
 
2.0%
7 2
 
1.4%
6 1
 
0.7%
Latin
ValueCountFrequency (%)
A 19
90.5%
E 2
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
41.1%
2 28
16.7%
4 24
 
14.3%
A 19
 
11.3%
1 8
 
4.8%
3 6
 
3.6%
8 3
 
1.8%
9 3
 
1.8%
5 3
 
1.8%
7 2
 
1.2%
Other values (2) 3
 
1.8%

기관ID(OLD)
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T05:26:42.118346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters168
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st rowA2402812
2nd rowA2400002
3rd rowA2400008
4th rowA2400019
5th rowA2400003
ValueCountFrequency (%)
a2402812 1
 
4.8%
a2400011 1
 
4.8%
a2400001 1
 
4.8%
a2400038 1
 
4.8%
e2400033 1
 
4.8%
a2400007 1
 
4.8%
a2400005 1
 
4.8%
a2400006 1
 
4.8%
a2400010 1
 
4.8%
e2400032 1
 
4.8%
Other values (11) 11
52.4%
2024-01-10T05:26:42.382216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
41.1%
2 28
16.7%
4 24
 
14.3%
A 19
 
11.3%
1 8
 
4.8%
3 6
 
3.6%
8 3
 
1.8%
9 3
 
1.8%
5 3
 
1.8%
7 2
 
1.2%
Other values (2) 3
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 147
87.5%
Uppercase Letter 21
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
46.9%
2 28
19.0%
4 24
 
16.3%
1 8
 
5.4%
3 6
 
4.1%
8 3
 
2.0%
9 3
 
2.0%
5 3
 
2.0%
7 2
 
1.4%
6 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
A 19
90.5%
E 2
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common 147
87.5%
Latin 21
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
46.9%
2 28
19.0%
4 24
 
16.3%
1 8
 
5.4%
3 6
 
4.1%
8 3
 
2.0%
9 3
 
2.0%
5 3
 
2.0%
7 2
 
1.4%
6 1
 
0.7%
Latin
ValueCountFrequency (%)
A 19
90.5%
E 2
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
41.1%
2 28
16.7%
4 24
 
14.3%
A 19
 
11.3%
1 8
 
4.8%
3 6
 
3.6%
8 3
 
1.8%
9 3
 
1.8%
5 3
 
1.8%
7 2
 
1.2%
Other values (2) 3
 
1.8%

응급의료기관분류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
G007
8 
G006
7 
G009
5 
G001
1 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st rowG009
2nd rowG001
3rd rowG006
4th rowG009
5th rowG007

Common Values

ValueCountFrequency (%)
G007 8
38.1%
G006 7
33.3%
G009 5
23.8%
G001 1
 
4.8%

Length

2024-01-10T05:26:42.498778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:26:42.597353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g007 8
38.1%
g006 7
33.3%
g009 5
23.8%
g001 1
 
4.8%

응급의료기관분류명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
지역응급의료기관
8 
지역응급의료센터
7 
응급의료기관 외의 의료기관(응급의료시설)
5 
권역응급의료센터
1 

Length

Max length22
Median length8
Mean length11.333333
Min length8

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row응급의료기관 외의 의료기관(응급의료시설)
2nd row권역응급의료센터
3rd row지역응급의료센터
4th row응급의료기관 외의 의료기관(응급의료시설)
5th row지역응급의료기관

Common Values

ValueCountFrequency (%)
지역응급의료기관 8
38.1%
지역응급의료센터 7
33.3%
응급의료기관 외의 의료기관(응급의료시설) 5
23.8%
권역응급의료센터 1
 
4.8%

Length

2024-01-10T05:26:42.715217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:26:42.817873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역응급의료기관 8
25.8%
지역응급의료센터 7
22.6%
응급의료기관 5
16.1%
외의 5
16.1%
의료기관(응급의료시설 5
16.1%
권역응급의료센터 1
 
3.2%

주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T05:26:43.016363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length44
Mean length24.47619
Min length20

Characters and Unicode

Total characters514
Distinct characters108
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

Unique21 ?
Unique (%)100.0%

Sample

1st row충청남도 천안시 동남구 만남로 64, 1층일부,4~9층 (신부동)
2nd row충청남도 천안시 동남구 망향로 201 (안서동, 단국대학교의과대학부속병원)
3rd row충청남도 당진시 반촌로 5-15 (시곡동)
4th row충청남도 금산군 금산읍 비단로 183
5th row충청남도 서산시 수석산업로 5 (수석동)
ValueCountFrequency (%)
충청남도 21
 
18.8%
천안시 5
 
4.5%
동남구 4
 
3.6%
서산시 2
 
1.8%
예산군 2
 
1.8%
예산읍 2
 
1.8%
아산시 2
 
1.8%
77 1
 
0.9%
석림동 1
 
0.9%
149 1
 
0.9%
Other values (71) 71
63.4%
2024-01-10T05:26:43.339023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
17.7%
남 26
 
5.1%
청 23
 
4.5%
충 22
 
4.3%
도 21
 
4.1%
로 19
 
3.7%
동 17
 
3.3%
시 16
 
3.1%
4 15
 
2.9%
( 13
 
2.5%
Other values (98) 251
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 315
61.3%
Space Separator 91
 
17.7%
Decimal Number 70
 
13.6%
Open Punctuation 13
 
2.5%
Close Punctuation 13
 
2.5%
Other Punctuation 9
 
1.8%
Dash Punctuation 2
 
0.4%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 26
 
8.3%
청 23
 
7.3%
충 22
 
7.0%
도 21
 
6.7%
로 19
 
6.0%
동 17
 
5.4%
시 16
 
5.1%
산 13
 
4.1%
천 10
 
3.2%
안 8
 
2.5%
Other values (80) 140
44.4%
Decimal Number
ValueCountFrequency (%)
4 15
21.4%
1 12
17.1%
2 7
10.0%
3 7
10.0%
5 6
 
8.6%
8 6
 
8.6%
9 5
 
7.1%
6 5
 
7.1%
7 4
 
5.7%
0 3
 
4.3%
Other Punctuation
ValueCountFrequency (%)
& 3
33.3%
; 3
33.3%
# 3
33.3%
Space Separator
ValueCountFrequency (%)
91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 315
61.3%
Common 199
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 26
 
8.3%
청 23
 
7.3%
충 22
 
7.0%
도 21
 
6.7%
로 19
 
6.0%
동 17
 
5.4%
시 16
 
5.1%
산 13
 
4.1%
천 10
 
3.2%
안 8
 
2.5%
Other values (80) 140
44.4%
Common
ValueCountFrequency (%)
91
45.7%
4 15
 
7.5%
( 13
 
6.5%
) 13
 
6.5%
1 12
 
6.0%
2 7
 
3.5%
3 7
 
3.5%
5 6
 
3.0%
8 6
 
3.0%
9 5
 
2.5%
Other values (8) 24
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 315
61.3%
ASCII 199
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
45.7%
4 15
 
7.5%
( 13
 
6.5%
) 13
 
6.5%
1 12
 
6.0%
2 7
 
3.5%
3 7
 
3.5%
5 6
 
3.0%
8 6
 
3.0%
9 5
 
2.5%
Other values (8) 24
 
12.1%
Hangul
ValueCountFrequency (%)
남 26
 
8.3%
청 23
 
7.3%
충 22
 
7.0%
도 21
 
6.7%
로 19
 
6.0%
동 17
 
5.4%
시 16
 
5.1%
산 13
 
4.1%
천 10
 
3.2%
안 8
 
2.5%
Other values (80) 140
44.4%

기관명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T05:26:43.522515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length9.9047619
Min length4

Characters and Unicode

Total characters208
Distinct characters62
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

Unique21 ?
Unique (%)100.0%

Sample

1st row나은필병원
2nd row단국대학교의과대학부속병원
3rd row당진종합병원
4th row새금산병원
5th row서산중앙병원
ValueCountFrequency (%)
나은필병원 1
 
4.8%
재단법인아산사회복지재단보령아산병원 1
 
4.8%
학교법인동은학원순천향대학교부속천안병원 1
 
4.8%
학교법인건양교육재단건양대학교부여병원 1
 
4.8%
태안군보건의료원 1
 
4.8%
충청남도홍성의료원 1
 
4.8%
충청남도천안의료원 1
 
4.8%
충청남도서산의료원 1
 
4.8%
충청남도공주의료원 1
 
4.8%
청양군보건의료원 1
 
4.8%
Other values (11) 11
52.4%
2024-01-10T05:26:43.827427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 22
 
10.6%
병 15
 
7.2%
의 13
 
6.2%
료 12
 
5.8%
산 8
 
3.8%
법 7
 
3.4%
인 7
 
3.4%
학 7
 
3.4%
교 6
 
2.9%
충 6
 
2.9%
Other values (52) 105
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 22
 
10.6%
병 15
 
7.2%
의 13
 
6.2%
료 12
 
5.8%
산 8
 
3.8%
법 7
 
3.4%
인 7
 
3.4%
학 7
 
3.4%
교 6
 
2.9%
충 6
 
2.9%
Other values (52) 105
50.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 22
 
10.6%
병 15
 
7.2%
의 13
 
6.2%
료 12
 
5.8%
산 8
 
3.8%
법 7
 
3.4%
인 7
 
3.4%
학 7
 
3.4%
교 6
 
2.9%
충 6
 
2.9%
Other values (52) 105
50.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 22
 
10.6%
병 15
 
7.2%
의 13
 
6.2%
료 12
 
5.8%
산 8
 
3.8%
법 7
 
3.4%
인 7
 
3.4%
학 7
 
3.4%
교 6
 
2.9%
충 6
 
2.9%
Other values (52) 105
50.5%

대표전화1
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T05:26:43.997519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique21 ?
Unique (%)100.0%

Sample

1st row041-417-0001
2nd row041-550-7114
3rd row041-357-0100
4th row041-754-8272
5th row041-661-1000
ValueCountFrequency (%)
041-417-0001 1
 
4.8%
041-930-5114 1
 
4.8%
041-570-2114 1
 
4.8%
041-837-1200 1
 
4.8%
041-671-5300 1
 
4.8%
041-630-6251 1
 
4.8%
041-570-7200 1
 
4.8%
041-689-7000 1
 
4.8%
041-962-1111 1
 
4.8%
041-940-4515 1
 
4.8%
Other values (11) 11
52.4%
2024-01-10T05:26:44.262496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
19.8%
1 43
17.1%
- 42
16.7%
4 30
11.9%
5 21
8.3%
6 15
 
6.0%
7 14
 
5.6%
3 14
 
5.6%
2 12
 
4.8%
9 6
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
23.8%
1 43
20.5%
4 30
14.3%
5 21
10.0%
6 15
 
7.1%
7 14
 
6.7%
3 14
 
6.7%
2 12
 
5.7%
9 6
 
2.9%
8 5
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
19.8%
1 43
17.1%
- 42
16.7%
4 30
11.9%
5 21
8.3%
6 15
 
6.0%
7 14
 
5.6%
3 14
 
5.6%
2 12
 
4.8%
9 6
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
19.8%
1 43
17.1%
- 42
16.7%
4 30
11.9%
5 21
8.3%
6 15
 
6.0%
7 14
 
5.6%
3 14
 
5.6%
2 12
 
4.8%
9 6
 
2.4%

응급실전화
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-01-10T05:26:44.437274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique21 ?
Unique (%)100.0%

Sample

1st row041-417-1191
2nd row041-550-6840
3rd row041-358-3624
4th row041-754-8053
5th row041-661-1195
ValueCountFrequency (%)
041-417-1191 1
 
4.8%
041-930-5333 1
 
4.8%
041-590-7019 1
 
4.8%
041-837-1201 1
 
4.8%
041-671-5319 1
 
4.8%
041-630-6119 1
 
4.8%
041-570-7119 1
 
4.8%
041-689-7119 1
 
4.8%
041-962-1365 1
 
4.8%
041-940-4951 1
 
4.8%
Other values (11) 11
52.4%
2024-01-10T05:26:44.744753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 47
18.7%
- 42
16.7%
0 36
14.3%
4 31
12.3%
5 20
7.9%
9 18
 
7.1%
3 17
 
6.7%
6 15
 
6.0%
7 13
 
5.2%
8 9
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
22.4%
0 36
17.1%
4 31
14.8%
5 20
9.5%
9 18
 
8.6%
3 17
 
8.1%
6 15
 
7.1%
7 13
 
6.2%
8 9
 
4.3%
2 4
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 47
18.7%
- 42
16.7%
0 36
14.3%
4 31
12.3%
5 20
7.9%
9 18
 
7.1%
3 17
 
6.7%
6 15
 
6.0%
7 13
 
5.2%
8 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 47
18.7%
- 42
16.7%
0 36
14.3%
4 31
12.3%
5 20
7.9%
9 18
 
7.1%
3 17
 
6.7%
6 15
 
6.0%
7 13
 
5.2%
8 9
 
3.6%

병원경도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.89714
Minimum126.32321
Maximum127.4962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T05:26:44.862801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.32321
5-th percentile126.46516
Q1126.68436
median126.9017
Q3127.13158
95-th percentile127.17992
Maximum127.4962
Range1.1729939
Interquartile range (IQR)0.44722007

Descriptive statistics

Standard deviation0.29210774
Coefficient of variation (CV)0.0023019253
Kurtosis-0.39702482
Mean126.89714
Median Absolute Deviation (MAD)0.2272899
Skewness-0.13117323
Sum2664.84
Variance0.085326932
MonotonicityNot monotonic
2024-01-10T05:26:44.969541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
127.159326385319 1
 
4.8%
127.17327537305154 1
 
4.8%
127.00097027728452 1
 
4.8%
127.135666806479 1
 
4.8%
126.90169662482884 1
 
4.8%
126.32320735565844 1
 
4.8%
126.67440672396911 1
 
4.8%
127.17992025598448 1
 
4.8%
126.46515725738564 1
 
4.8%
127.10921562289596 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
126.32320735565844 1
4.8%
126.46515725738564 1
4.8%
126.50342177166652 1
4.8%
126.62282846665184 1
4.8%
126.67440672396911 1
4.8%
126.68435813411776 1
4.8%
126.6875810614244 1
4.8%
126.80455836964052 1
4.8%
126.83416958942117 1
4.8%
126.83810397105952 1
4.8%
ValueCountFrequency (%)
127.49620122672218 1
4.8%
127.17992025598448 1
4.8%
127.17327537305154 1
4.8%
127.159326385319 1
4.8%
127.135666806479 1
4.8%
127.1315782043232 1
4.8%
127.10921562289596 1
4.8%
127.09436976296006 1
4.8%
127.0199488549524 1
4.8%
127.00097027728452 1
4.8%

병원위도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.608037
Minimum36.084494
Maximum36.904398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-01-10T05:26:45.078211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.084494
5-th percentile36.104032
Q136.455296
median36.751914
Q336.783118
95-th percentile36.842952
Maximum36.904398
Range0.81990326
Interquartile range (IQR)0.32782184

Descriptive statistics

Standard deviation0.26022653
Coefficient of variation (CV)0.0071084534
Kurtosis-0.47892423
Mean36.608037
Median Absolute Deviation (MAD)0.067236246
Skewness-0.96079488
Sum768.76878
Variance0.067717845
MonotonicityNot monotonic
2024-01-10T05:26:45.172560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
36.8191502671463 1
 
4.8%
36.84295215169462 1
 
4.8%
36.78311829920936 1
 
4.8%
36.8023584971179 1
 
4.8%
36.27555409443824 1
 
4.8%
36.75191402131483 1
 
4.8%
36.59933992060475 1
 
4.8%
36.775359921186194 1
 
4.8%
36.77556877677842 1
 
4.8%
36.45905455773722 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
36.08449428686221 1
4.8%
36.10403152848004 1
4.8%
36.19250243074026 1
4.8%
36.27555409443824 1
4.8%
36.38113998244595 1
4.8%
36.45529646339589 1
4.8%
36.45905455773722 1
4.8%
36.59933992060475 1
4.8%
36.69111403683895 1
4.8%
36.71373026149238 1
4.8%
ValueCountFrequency (%)
36.90439755063778 1
4.8%
36.84295215169462 1
4.8%
36.8191502671463 1
4.8%
36.8023584971179 1
4.8%
36.79739687904163 1
4.8%
36.78311829920936 1
4.8%
36.78101237096687 1
4.8%
36.77929250489765 1
4.8%
36.77556877677842 1
4.8%
36.775359921186194 1
4.8%

Interactions

2024-01-10T05:26:41.199311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:41.057320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:41.269110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:26:41.129041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:26:45.246940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관ID기관ID(OLD)응급의료기관분류응급의료기관분류명주소기관명대표전화1응급실전화병원경도병원위도
기관ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
기관ID(OLD)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
응급의료기관분류1.0001.0001.0001.0001.0001.0001.0001.0000.0000.524
응급의료기관분류명1.0001.0001.0001.0001.0001.0001.0001.0000.0000.524
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표전화11.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
응급실전화1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
병원경도1.0001.0000.0000.0001.0001.0001.0001.0001.0000.527
병원위도1.0001.0000.5240.5241.0001.0001.0001.0000.5271.000
2024-01-10T05:26:45.348414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
응급의료기관분류응급의료기관분류명
응급의료기관분류1.0001.000
응급의료기관분류명1.0001.000
2024-01-10T05:26:45.418661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병원경도병원위도응급의료기관분류응급의료기관분류명
병원경도1.0000.1420.0000.000
병원위도0.1421.0000.2710.271
응급의료기관분류0.0000.2711.0001.000
응급의료기관분류명0.0000.2711.0001.000

Missing values

2024-01-10T05:26:41.365299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:26:41.502738image/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

기관ID기관ID(OLD)응급의료기관분류응급의료기관분류명주소기관명대표전화1응급실전화병원경도병원위도
0A2402812A2402812G009응급의료기관 외의 의료기관(응급의료시설)충청남도 천안시 동남구 만남로 64, 1층일부,4~9층 (신부동)나은필병원041-417-0001041-417-1191127.15932636.81915
1A2400002A2400002G001권역응급의료센터충청남도 천안시 동남구 망향로 201 (안서동, 단국대학교의과대학부속병원)단국대학교의과대학부속병원041-550-7114041-550-6840127.17327536.842952
2A2400008A2400008G006지역응급의료센터충청남도 당진시 반촌로 5-15 (시곡동)당진종합병원041-357-0100041-358-3624126.68435836.904398
3A2400019A2400019G009응급의료기관 외의 의료기관(응급의료시설)충청남도 금산군 금산읍 비단로 183새금산병원041-754-8272041-754-8053127.49620136.104032
4A2400003A2400003G007지역응급의료기관충청남도 서산시 수석산업로 5 (수석동)서산중앙병원041-661-1000041-661-1195126.50342236.781012
5A2402257A2402257G006지역응급의료센터충청남도 아산시 문화로 381 (모종동)아산충무병원041-536-6666041-536-6519127.01994936.779293
6A2400015A2400015G009응급의료기관 외의 의료기관(응급의료시설)충청남도 예산군 예산읍 신례원로 26예산명지병원041-335-2255041-335-5166126.8341736.71373
7A2400009A2400009G006지역응급의료센터충청남도 논산시 시민로294번길 14 (취암동)의료법인백제병원041-733-2191041-730-8888127.0943736.192502
8A2400044A2400044G007지역응급의료기관충청남도 서천군 서천읍 서천로 184의료법인서해병원041-951-8282041-950-0219126.68758136.084494
9A2400012A2400012G006지역응급의료센터충청남도 천안시 서북구 다가말3길 8 (쌍용동)의료법인영서의료재단천안충무병원041-570-7555041-570-7519127.13157836.797397
기관ID기관ID(OLD)응급의료기관분류응급의료기관분류명주소기관명대표전화1응급실전화병원경도병원위도
11A2400011A2400011G007지역응급의료기관충청남도 보령시 죽성로 136 (죽정동)재단법인아산사회복지재단보령아산병원041-930-5114041-930-5333126.62282836.38114
12E2400032E2400032G007지역응급의료기관충청남도 청양군 청양읍 칠갑산로7길 54청양군보건의료원041-940-4515041-940-4951126.80455836.455296
13A2400010A2400010G007지역응급의료기관충청남도 공주시 무령로 77 (웅진동)충청남도공주의료원041-962-1111041-962-1365127.10921636.459055
14A2400006A2400006G006지역응급의료센터충청남도 서산시 중앙로 149 (석림동)충청남도서산의료원041-689-7000041-689-7119126.46515736.775569
15A2400005A2400005G007지역응급의료기관충청남도 천안시 동남구 충절로 537 (삼룡동)충청남도천안의료원041-570-7200041-570-7119127.1799236.77536
16A2400007A2400007G006지역응급의료센터충청남도 홍성군 홍성읍 조양로 224충청남도홍성의료원041-630-6251041-630-6119126.67440736.59934
17E2400033E2400033G007지역응급의료기관충청남도 태안군 태안읍 서해로 1952-16태안군보건의료원041-671-5300041-671-5319126.32320736.751914
18A2400038A2400038G007지역응급의료기관충청남도 부여군 부여읍 계백로 200학교법인건양교육재단건양대학교부여병원041-837-1200041-837-1201126.90169736.275554
19A2400001A2400001G006지역응급의료센터충청남도 천안시 동남구 순천향6길 31 (봉명동)학교법인동은학원순천향대학교부속천안병원041-570-2114041-590-7019127.13566736.802358
20A2400039A2400039G009응급의료기관 외의 의료기관(응급의료시설)충청남도 아산시 시민로 388 (온천동)현대병원041-546-3636041-546-7744127.0009736.783118