Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory54.3 B

Variable types

Categorical2
Text4

Dataset

Description인천광역시 응급의료기관 현황입니다.응급의료에관한법률에 의거 권역응급의료센터 2개소, 지역응급의료센터 9개소, 지역응급의료기관 10개소로 총 21개소가 운영되고 있습니다
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15081393&srcSe=7661IVAWM27C61E190

Alerts

주소 has unique valuesUnique
전화번호 has unique valuesUnique
병원명 has unique valuesUnique
전화번호(응급시 연락) has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:50:06.898453
Analysis finished2024-03-18 05:50:08.896019
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분(권역응급 의료센터_지역응급 의료센터)
Categorical

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
지역응급의료기관
10 
지역응급의료센터
9 
권역응급의료센터
2 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row권역응급의료센터
2nd row권역응급의료센터
3rd row지역응급의료센터
4th row지역응급의료센터
5th row지역응급의료센터

Common Values

ValueCountFrequency (%)
지역응급의료기관 10
47.6%
지역응급의료센터 9
42.9%
권역응급의료센터 2
 
9.5%

Length

2024-03-18T14:50:08.986964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:50:09.098572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역응급의료기관 10
47.6%
지역응급의료센터 9
42.9%
권역응급의료센터 2
 
9.5%

위치
Categorical

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
서구
5 
남동구
2 
중구
2 
부평구
2 
계양구
2 
Other values (5)
8 

Length

Max length4
Median length3
Mean length2.6666667
Min length2

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row남동구
2nd row중구
3rd row부평구
4th row서구
5th row서구

Common Values

ValueCountFrequency (%)
서구 5
23.8%
남동구 2
 
9.5%
중구 2
 
9.5%
부평구 2
 
9.5%
계양구 2
 
9.5%
연수구 2
 
9.5%
미추홀구 2
 
9.5%
동구 2
 
9.5%
강화군 1
 
4.8%
옹진군 1
 
4.8%

Length

2024-03-18T14:50:09.228573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:50:09.350654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 5
23.8%
남동구 2
 
9.5%
중구 2
 
9.5%
부평구 2
 
9.5%
계양구 2
 
9.5%
연수구 2
 
9.5%
미추홀구 2
 
9.5%
동구 2
 
9.5%
강화군 1
 
4.8%
옹진군 1
 
4.8%

주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-18T14:50:09.588861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length21.190476
Min length10

Characters and Unicode

Total characters445
Distinct characters111
Distinct categories7 ?
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 row남동구 남동대로774번길21(구월동, 가천대학교길병원)
2nd row중구 인항로 27(신흥동3가)
3rd row부평구 동수로 56(동수로)
4th row서구 심곡로100번길 25(심곡동, 인천국제성모병원)
5th row서구 청마로19번길 5(당하동)
ValueCountFrequency (%)
서구 5
 
6.6%
남동구 2
 
2.6%
부평구 2
 
2.6%
동구 2
 
2.6%
미추홀구 2
 
2.6%
원적로 2
 
2.6%
연수구 2
 
2.6%
중구 2
 
2.6%
인천힘찬종합병원 1
 
1.3%
72-0(논현동 1
 
1.3%
Other values (55) 55
72.4%
2024-03-18T14:50:09.899059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
 
12.4%
동 27
 
6.1%
로 24
 
5.4%
( 19
 
4.3%
구 19
 
4.3%
) 19
 
4.3%
2 14
 
3.1%
1 13
 
2.9%
원 12
 
2.7%
7 11
 
2.5%
Other values (101) 232
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 269
60.4%
Decimal Number 71
 
16.0%
Space Separator 55
 
12.4%
Open Punctuation 19
 
4.3%
Close Punctuation 19
 
4.3%
Other Punctuation 11
 
2.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
 
10.0%
로 24
 
8.9%
구 19
 
7.1%
원 12
 
4.5%
천 8
 
3.0%
길 8
 
3.0%
병 7
 
2.6%
인 7
 
2.6%
번 6
 
2.2%
서 5
 
1.9%
Other values (86) 146
54.3%
Decimal Number
ValueCountFrequency (%)
2 14
19.7%
1 13
18.3%
7 11
15.5%
3 10
14.1%
0 8
11.3%
5 5
 
7.0%
9 4
 
5.6%
6 3
 
4.2%
4 2
 
2.8%
8 1
 
1.4%
Space Separator
ValueCountFrequency (%)
55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 269
60.4%
Common 176
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
 
10.0%
로 24
 
8.9%
구 19
 
7.1%
원 12
 
4.5%
천 8
 
3.0%
길 8
 
3.0%
병 7
 
2.6%
인 7
 
2.6%
번 6
 
2.2%
서 5
 
1.9%
Other values (86) 146
54.3%
Common
ValueCountFrequency (%)
55
31.2%
( 19
 
10.8%
) 19
 
10.8%
2 14
 
8.0%
1 13
 
7.4%
7 11
 
6.2%
, 11
 
6.2%
3 10
 
5.7%
0 8
 
4.5%
5 5
 
2.8%
Other values (5) 11
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 269
60.4%
ASCII 176
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55
31.2%
( 19
 
10.8%
) 19
 
10.8%
2 14
 
8.0%
1 13
 
7.4%
7 11
 
6.2%
, 11
 
6.2%
3 10
 
5.7%
0 8
 
4.5%
5 5
 
2.8%
Other values (5) 11
 
6.2%
Hangul
ValueCountFrequency (%)
동 27
 
10.0%
로 24
 
8.9%
구 19
 
7.1%
원 12
 
4.5%
천 8
 
3.0%
길 8
 
3.0%
병 7
 
2.6%
인 7
 
2.6%
번 6
 
2.2%
서 5
 
1.9%
Other values (86) 146
54.3%

전화번호
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-18T14:50:10.090486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.904762
Min length9

Characters and Unicode

Total characters250
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 row032-460-3548
2nd row032-890-2114
3rd row032-280-6364
4th row1600-8291
5th row032-590-0114
ValueCountFrequency (%)
032-460-3548 1
 
4.8%
032-290-0001 1
 
4.8%
032-899-4000 1
 
4.8%
032-1899-2220 1
 
4.8%
032-836-1731 1
 
4.8%
032-888-7575 1
 
4.8%
032-270-8000 1
 
4.8%
032-580-6000 1
 
4.8%
032-726-1000 1
 
4.8%
032-567-6200 1
 
4.8%
Other values (11) 11
52.4%
2024-03-18T14:50:10.453422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 60
24.0%
- 41
16.4%
2 32
12.8%
3 24
 
9.6%
9 16
 
6.4%
5 15
 
6.0%
8 15
 
6.0%
1 15
 
6.0%
4 12
 
4.8%
7 11
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 209
83.6%
Dash Punctuation 41
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
28.7%
2 32
15.3%
3 24
 
11.5%
9 16
 
7.7%
5 15
 
7.2%
8 15
 
7.2%
1 15
 
7.2%
4 12
 
5.7%
7 11
 
5.3%
6 9
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 60
24.0%
- 41
16.4%
2 32
12.8%
3 24
 
9.6%
9 16
 
6.4%
5 15
 
6.0%
8 15
 
6.0%
1 15
 
6.0%
4 12
 
4.8%
7 11
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 60
24.0%
- 41
16.4%
2 32
12.8%
3 24
 
9.6%
9 16
 
6.4%
5 15
 
6.0%
8 15
 
6.0%
1 15
 
6.0%
4 12
 
4.8%
7 11
 
4.4%

병원명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-18T14:50:10.661197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length9.8571429
Min length4

Characters and Unicode

Total characters207
Distinct characters64
Distinct categories2 ?
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 row의료법인 길의료재단 길병원
2nd row인하대학교의과대학부속병원
3rd row가톨릭관동대학교인천성모병원
4th row가톨릭관동대학교국제성모병원
5th row검단탑병원
ValueCountFrequency (%)
의료법인 4
 
13.3%
한림병원 1
 
3.3%
인천적십자병원 1
 
3.3%
인천힘찬종합병원 1
 
3.3%
인천광역시의료원백령병원 1
 
3.3%
현대유비스병원 1
 
3.3%
인천기독병원 1
 
3.3%
인천광역시의료원 1
 
3.3%
성민병원 1
 
3.3%
뉴 1
 
3.3%
Other values (17) 17
56.7%
2024-03-18T14:50:11.060587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 22
 
10.6%
병 20
 
9.7%
인 14
 
6.8%
의 12
 
5.8%
료 11
 
5.3%
9
 
4.3%
천 9
 
4.3%
단 6
 
2.9%
재 5
 
2.4%
대 5
 
2.4%
Other values (54) 94
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 198
95.7%
Space Separator 9
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 22
 
11.1%
병 20
 
10.1%
인 14
 
7.1%
의 12
 
6.1%
료 11
 
5.6%
천 9
 
4.5%
단 6
 
3.0%
재 5
 
2.5%
대 5
 
2.5%
법 4
 
2.0%
Other values (53) 90
45.5%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
95.7%
Common 9
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 22
 
11.1%
병 20
 
10.1%
인 14
 
7.1%
의 12
 
6.1%
료 11
 
5.6%
천 9
 
4.5%
단 6
 
3.0%
재 5
 
2.5%
대 5
 
2.5%
법 4
 
2.0%
Other values (53) 90
45.5%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 198
95.7%
ASCII 9
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 22
 
11.1%
병 20
 
10.1%
인 14
 
7.1%
의 12
 
6.1%
료 11
 
5.6%
천 9
 
4.5%
단 6
 
3.0%
재 5
 
2.5%
대 5
 
2.5%
법 4
 
2.0%
Other values (53) 90
45.5%
ASCII
ValueCountFrequency (%)
9
100.0%

전화번호(응급시 연락)
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-18T14:50:11.266376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.095238
Min length12

Characters and Unicode

Total characters254
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 row032-460-3901
2nd row032-890-2310
3rd row032-280-6234
4th row032-290-2532
5th row032-590-0366
ValueCountFrequency (%)
032-460-3901 1
 
4.8%
032-290-0008 1
 
4.8%
0507-1404-4009 1
 
4.8%
032-459-3169 1
 
4.8%
032-836-1733 1
 
4.8%
032-890-5698 1
 
4.8%
032-270-8410 1
 
4.8%
032-580-6561 1
 
4.8%
032-726-1072 1
 
4.8%
032-509-5555 1
 
4.8%
Other values (11) 11
52.4%
2024-03-18T14:50:11.575763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
19.7%
- 42
16.5%
2 35
13.8%
3 31
12.2%
5 19
 
7.5%
8 16
 
6.3%
9 15
 
5.9%
6 13
 
5.1%
4 12
 
4.7%
1 12
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 212
83.5%
Dash Punctuation 42
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
23.6%
2 35
16.5%
3 31
14.6%
5 19
 
9.0%
8 16
 
7.5%
9 15
 
7.1%
6 13
 
6.1%
4 12
 
5.7%
1 12
 
5.7%
7 9
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 254
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 50
19.7%
- 42
16.5%
2 35
13.8%
3 31
12.2%
5 19
 
7.5%
8 16
 
6.3%
9 15
 
5.9%
6 13
 
5.1%
4 12
 
4.7%
1 12
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
19.7%
- 42
16.5%
2 35
13.8%
3 31
12.2%
5 19
 
7.5%
8 16
 
6.3%
9 15
 
5.9%
6 13
 
5.1%
4 12
 
4.7%
1 12
 
4.7%

Correlations

2024-03-18T14:50:11.666714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(권역응급 의료센터_지역응급 의료센터)위치주소전화번호병원명전화번호(응급시 연락)
구분(권역응급 의료센터_지역응급 의료센터)1.0000.3991.0001.0001.0001.000
위치0.3991.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
병원명1.0001.0001.0001.0001.0001.000
전화번호(응급시 연락)1.0001.0001.0001.0001.0001.000
2024-03-18T14:50:11.759954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(권역응급 의료센터_지역응급 의료센터)위치
구분(권역응급 의료센터_지역응급 의료센터)1.0000.141
위치0.1411.000
2024-03-18T14:50:11.834737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(권역응급 의료센터_지역응급 의료센터)위치
구분(권역응급 의료센터_지역응급 의료센터)1.0000.141
위치0.1411.000

Missing values

2024-03-18T14:50:08.701787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:50:08.846882image/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

구분(권역응급 의료센터_지역응급 의료센터)위치주소전화번호병원명전화번호(응급시 연락)
0권역응급의료센터남동구남동구 남동대로774번길21(구월동, 가천대학교길병원)032-460-3548의료법인 길의료재단 길병원032-460-3901
1권역응급의료센터중구중구 인항로 27(신흥동3가)032-890-2114인하대학교의과대학부속병원032-890-2310
2지역응급의료센터부평구부평구 동수로 56(동수로)032-280-6364가톨릭관동대학교인천성모병원032-280-6234
3지역응급의료센터서구서구 심곡로100번길 25(심곡동, 인천국제성모병원)1600-8291가톨릭관동대학교국제성모병원032-290-2532
4지역응급의료센터서구서구 청마로19번길 5(당하동)032-590-0114검단탑병원032-590-0366
5지역응급의료센터계양구계양문화로 20,(작전동)032-240-8000인천세종병원032-240-8135
6지역응급의료센터연수구연수구 먼우금로 98(동춘동, 나사렛국제병원)032-899-9999의료법인 나사렛의료재단 나사렛국제병원032-810-9396
7지역응급의료센터서구서구 원적로 23(가좌동, 원적로 27번길 11(가좌동))032-584-0114의료법인 루가의료재단 나은병원032-585-7782
8지역응급의료센터미추홀구미추홀구 미추홀대로 726(주안동)032-457-2000인천사랑병원032-457-2924
9지역응급의료센터부평구부평구 부평대로 175(청천동,세림병원)032-509-5555안은의료재단부평세림병원032-509-5460
구분(권역응급 의료센터_지역응급 의료센터)위치주소전화번호병원명전화번호(응급시 연락)
11지역응급의료기관강화군강화군 강화읍 충렬사로31032-290-0001비에스종합병원032-290-0008
12지역응급의료기관서구서구 완정로 199(왕길동)032-567-6200온누리병원032-509-5555
13지역응급의료기관서구서구 칠천왕로33번길 17(석남동, 신석로70(석남1동, 성민병원))032-726-1000의료법인 성세의료재단 뉴 성민병원032-726-1072
14지역응급의료기관동구동구 방축로 217(송림동, 인천광역시 의료원)032-580-6000인천광역시의료원032-580-6561
15지역응급의료기관중구중구 담동로30번길 10(율목동)032-270-8000인천기독병원032-270-8410
16지역응급의료기관미추홀구미추홀구 독배로 503(숭의동)032-888-7575현대유비스병원032-890-5698
17지역응급의료기관옹진군옹진군 백령면 백령로 233, 인천광역시의료원 백령병원032-836-1731인천광역시의료원백령병원032-836-1733
18지역응급의료기관남동구인천 남동구 논현로 72-0(논현동, 인천힘찬종합병원)032-1899-2220인천힘찬종합병원032-459-3169
19지역응급의료기관연수구연수구 원인재로 263032-899-4000인천적십자병원0507-1404-4009
20지역응급의료기관동구동구 샛골로 214032-777-7050인천백병원032-280-8118