Overview

Dataset statistics

Number of variables34
Number of observations68
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.6 KiB
Average record size in memory294.9 B

Variable types

Text8
Categorical12
Numeric13
DateTime1

Dataset

Description기관ID,주소,병원분류,병원분류명,응급의료기관코드,응급의료기관코드명,응급실운영여부,비고,기관설명상세,간이약도,기관명,대표전화1,응급실전화,진료시간(월요일)C,진료시간(화요일)C,진료시간(수요일)C,진료시간(목요일)C,진료시간(금요일)C,진료시간(토요일)C,진료시간(일요일)C,진료시간(공휴일)C,진료시간(월요일)S,진료시간(화요일)S,진료시간(수요일)S,진료시간(목요일)S,진료시간(금요일)S,진료시간(토요일)S,진료시간(일요일)S,진료시간(공휴일)S,우편번호1,우편번호2,병원경도,병원위도,작업시간
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-20338/S/1/datasetView.do

Alerts

응급실운영여부 has constant value ""Constant
비고 has 2 (2.9%) missing valuesMissing
기관ID has unique valuesUnique
주소 has unique valuesUnique
대표전화1 has unique valuesUnique
응급실전화 has unique valuesUnique
병원경도 has unique valuesUnique
병원위도 has unique valuesUnique
진료시간(일요일)S has 1 (1.5%) zerosZeros
진료시간(공휴일)S has 1 (1.5%) zerosZeros
우편번호2 has 1 (1.5%) zerosZeros

Reproduction

Analysis started2024-04-14 07:46:49.174163
Analysis finished2024-04-14 07:46:51.309066
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관ID
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-14T16:46:52.085622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters544
Distinct characters11
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

Unique68 ?
Unique (%)100.0%

Sample

1st rowA1100011
2nd rowA1121013
3rd rowA1100047
4th rowA1100141
5th rowA1100076
ValueCountFrequency (%)
a1100011 1
 
1.5%
a1100025 1
 
1.5%
a1100015 1
 
1.5%
a1100007 1
 
1.5%
a1100042 1
 
1.5%
a1100152 1
 
1.5%
a1100255 1
 
1.5%
a1121013 1
 
1.5%
a1100030 1
 
1.5%
a1100002 1
 
1.5%
Other values (58) 58
85.3%
2024-04-14T16:46:53.206621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 201
36.9%
1 161
29.6%
A 68
 
12.5%
2 27
 
5.0%
3 19
 
3.5%
4 18
 
3.3%
5 17
 
3.1%
7 10
 
1.8%
6 9
 
1.7%
8 8
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 476
87.5%
Uppercase Letter 68
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
42.2%
1 161
33.8%
2 27
 
5.7%
3 19
 
4.0%
4 18
 
3.8%
5 17
 
3.6%
7 10
 
2.1%
6 9
 
1.9%
8 8
 
1.7%
9 6
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
A 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 476
87.5%
Latin 68
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 201
42.2%
1 161
33.8%
2 27
 
5.7%
3 19
 
4.0%
4 18
 
3.8%
5 17
 
3.6%
7 10
 
2.1%
6 9
 
1.9%
8 8
 
1.7%
9 6
 
1.3%
Latin
ValueCountFrequency (%)
A 68
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 544
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 201
36.9%
1 161
29.6%
A 68
 
12.5%
2 27
 
5.0%
3 19
 
3.5%
4 18
 
3.3%
5 17
 
3.1%
7 10
 
1.8%
6 9
 
1.7%
8 8
 
1.5%

주소
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-14T16:46:54.256054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length36
Mean length29.308824
Min length22

Characters and Unicode

Total characters1993
Distinct characters185
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

Unique68 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 63로 10, 여의도성모병원 (여의도동)
2nd row서울특별시 은평구 통일로 1021 (진관동)
3rd row서울특별시 관악구 관악로 242 (봉천동)
4th row서울특별시 강남구 남부순환로 2649, 베드로병원 (도곡동)
5th row서울특별시 관악구 남부순환로 1449, 강남힐병원 (신림동)
ValueCountFrequency (%)
서울특별시 68
 
17.7%
영등포구 9
 
2.3%
강남구 5
 
1.3%
동대문구 4
 
1.0%
강서구 4
 
1.0%
종로구 4
 
1.0%
남부순환로 4
 
1.0%
관악구 4
 
1.0%
은평구 3
 
0.8%
양천구 3
 
0.8%
Other values (240) 277
71.9%
2024-04-14T16:46:55.533991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
 
16.0%
87
 
4.4%
82
 
4.1%
79
 
4.0%
74
 
3.7%
72
 
3.6%
71
 
3.6%
) 70
 
3.5%
( 70
 
3.5%
68
 
3.4%
Other values (175) 1002
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1240
62.2%
Space Separator 318
 
16.0%
Decimal Number 239
 
12.0%
Close Punctuation 70
 
3.5%
Open Punctuation 70
 
3.5%
Other Punctuation 45
 
2.3%
Dash Punctuation 6
 
0.3%
Math Symbol 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
87
 
7.0%
82
 
6.6%
79
 
6.4%
74
 
6.0%
72
 
5.8%
71
 
5.7%
68
 
5.5%
68
 
5.5%
40
 
3.2%
31
 
2.5%
Other values (159) 568
45.8%
Decimal Number
ValueCountFrequency (%)
1 45
18.8%
2 44
18.4%
5 24
10.0%
3 22
9.2%
6 22
9.2%
0 20
8.4%
4 18
 
7.5%
7 16
 
6.7%
8 15
 
6.3%
9 13
 
5.4%
Space Separator
ValueCountFrequency (%)
318
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1240
62.2%
Common 753
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
87
 
7.0%
82
 
6.6%
79
 
6.4%
74
 
6.0%
72
 
5.8%
71
 
5.7%
68
 
5.5%
68
 
5.5%
40
 
3.2%
31
 
2.5%
Other values (159) 568
45.8%
Common
ValueCountFrequency (%)
318
42.2%
) 70
 
9.3%
( 70
 
9.3%
1 45
 
6.0%
, 45
 
6.0%
2 44
 
5.8%
5 24
 
3.2%
3 22
 
2.9%
6 22
 
2.9%
0 20
 
2.7%
Other values (6) 73
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1240
62.2%
ASCII 753
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
318
42.2%
) 70
 
9.3%
( 70
 
9.3%
1 45
 
6.0%
, 45
 
6.0%
2 44
 
5.8%
5 24
 
3.2%
3 22
 
2.9%
6 22
 
2.9%
0 20
 
2.7%
Other values (6) 73
 
9.7%
Hangul
ValueCountFrequency (%)
87
 
7.0%
82
 
6.6%
79
 
6.4%
74
 
6.0%
72
 
5.8%
71
 
5.7%
68
 
5.5%
68
 
5.5%
40
 
3.2%
31
 
2.5%
Other values (159) 568
45.8%

병원분류
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
A
58 
B
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowA
3rd rowB
4th rowA
5th rowB

Common Values

ValueCountFrequency (%)
A 58
85.3%
B 10
 
14.7%

Length

2024-04-14T16:46:55.765465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:46:55.948113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 58
85.3%
b 10
 
14.7%

병원분류명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
종합병원
58 
병원
10 

Length

Max length4
Median length4
Mean length3.7058824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합병원 58
85.3%
병원 10
 
14.7%

Length

2024-04-14T16:46:56.151381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:46:56.352637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합병원 58
85.3%
병원 10
 
14.7%
Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
G006
24 
G007
19 
G009
18 
G001

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
G006 24
35.3%
G007 19
27.9%
G009 18
26.5%
G001 7
 
10.3%

Length

2024-04-14T16:46:56.536062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:46:56.722774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g006 24
35.3%
g007 19
27.9%
g009 18
26.5%
g001 7
 
10.3%
Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size672.0 B
지역응급의료센터
24 
지역응급의료기관
19 
응급의료기관 외의 의료기관(응급의료시설)
17 
권역응급의료센터
응급실운영신고기관
 
1

Length

Max length22
Median length8
Mean length11.514706
Min length8

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
지역응급의료센터 24
35.3%
지역응급의료기관 19
27.9%
응급의료기관 외의 의료기관(응급의료시설) 17
25.0%
권역응급의료센터 7
 
10.3%
응급실운영신고기관 1
 
1.5%

Length

2024-04-14T16:46:56.936631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:46:57.137995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역응급의료센터 24
23.5%
지역응급의료기관 19
18.6%
응급의료기관 17
16.7%
외의 17
16.7%
의료기관(응급의료시설 17
16.7%
권역응급의료센터 7
 
6.9%
응급실운영신고기관 1
 
1.0%

응급실운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
1
68 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 68
100.0%

Length

2024-04-14T16:46:57.352922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:46:57.519930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 68
100.0%

비고
Text

MISSING 

Distinct44
Distinct (%)66.7%
Missing2
Missing (%)2.9%
Memory size672.0 B
2024-04-14T16:46:58.480580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length239
Median length190
Mean length31.075758
Min length10

Characters and Unicode

Total characters2051
Distinct characters174
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)62.1%

Sample

1st row점심시간 13:00~14:00
2nd row점심시간 13:00~14:00
3rd row응급실진료 07:00-24:00
4th row외래 진료 운영시간 이외에는 응급의학과 전문의 근무
5th row24시간 응급실 운영 내과/검진센터 2, 4주 토요일 휴진
ValueCountFrequency (%)
점심시간 41
 
10.2%
13:00~14:00 24
 
6.0%
16
 
4.0%
토요일 10
 
2.5%
오전 10
 
2.5%
9
 
2.2%
진료 9
 
2.2%
24시간 7
 
1.7%
9시~오후 6
 
1.5%
평일 6
 
1.5%
Other values (189) 263
65.6%
2024-04-14T16:46:59.738875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
16.8%
0 190
 
9.3%
1 117
 
5.7%
106
 
5.2%
: 103
 
5.0%
66
 
3.2%
3 65
 
3.2%
~ 55
 
2.7%
4 53
 
2.6%
44
 
2.1%
Other values (164) 908
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 966
47.1%
Decimal Number 494
24.1%
Space Separator 344
 
16.8%
Other Punctuation 157
 
7.7%
Math Symbol 55
 
2.7%
Dash Punctuation 14
 
0.7%
Open Punctuation 10
 
0.5%
Close Punctuation 10
 
0.5%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
106
 
11.0%
66
 
6.8%
44
 
4.6%
44
 
4.6%
43
 
4.5%
39
 
4.0%
35
 
3.6%
25
 
2.6%
21
 
2.2%
18
 
1.9%
Other values (140) 525
54.3%
Decimal Number
ValueCountFrequency (%)
0 190
38.5%
1 117
23.7%
3 65
 
13.2%
4 53
 
10.7%
2 29
 
5.9%
9 16
 
3.2%
5 6
 
1.2%
7 6
 
1.2%
6 6
 
1.2%
8 6
 
1.2%
Other Punctuation
ValueCountFrequency (%)
: 103
65.6%
, 24
 
15.3%
/ 13
 
8.3%
. 10
 
6.4%
* 6
 
3.8%
1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 8
80.0%
[ 2
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 8
80.0%
] 2
 
20.0%
Space Separator
ValueCountFrequency (%)
344
100.0%
Math Symbol
ValueCountFrequency (%)
~ 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1085
52.9%
Hangul 966
47.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
106
 
11.0%
66
 
6.8%
44
 
4.6%
44
 
4.6%
43
 
4.5%
39
 
4.0%
35
 
3.6%
25
 
2.6%
21
 
2.2%
18
 
1.9%
Other values (140) 525
54.3%
Common
ValueCountFrequency (%)
344
31.7%
0 190
17.5%
1 117
 
10.8%
: 103
 
9.5%
3 65
 
6.0%
~ 55
 
5.1%
4 53
 
4.9%
2 29
 
2.7%
, 24
 
2.2%
9 16
 
1.5%
Other values (14) 89
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1083
52.8%
Hangul 966
47.1%
Punctuation 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
31.8%
0 190
17.5%
1 117
 
10.8%
: 103
 
9.5%
3 65
 
6.0%
~ 55
 
5.1%
4 53
 
4.9%
2 29
 
2.7%
, 24
 
2.2%
9 16
 
1.5%
Other values (12) 87
 
8.0%
Hangul
ValueCountFrequency (%)
106
 
11.0%
66
 
6.8%
44
 
4.6%
44
 
4.6%
43
 
4.5%
39
 
4.0%
35
 
3.6%
25
 
2.6%
21
 
2.2%
18
 
1.9%
Other values (140) 525
54.3%
Punctuation
ValueCountFrequency (%)
1
100.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Distinct57
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-14T16:47:00.694165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length181
Median length72
Mean length46.338235
Min length4

Characters and Unicode

Total characters3151
Distinct characters333
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)67.6%

Sample

1st row저희 치과는 임플란트 보철 사랑니수술 등 치아에 관련된 모든 치료가능합니다(교정과도 같이 있음)
2nd row저희 치과는 임플란트 보철 사랑니수술 등 치아에 관련된 모든 치료가능합니다(교정과도 같이 있음)
3rd row화요일 야간진료 예약시 21시까지
4th row24시간 응급실 운영 응급의학과, 정형외과(사지골절), 신경외과(뇌척추 수술), 내과(소화기, 순환기), 비뇨기과(요로결석, 전립선비대증), 산부인과, 심장내과(심혈관 질환, 흉통(, 신장내과(투석), 신경중재의학과(뇌혈관질환, 혈관색전술), 일반외과(갑상선), 영상의학과(CT, MRI)등 15개과 29명의 전문의 진료
5th row관악구 봉천동 187병상 투석 가능한 요양병원입니다.
ValueCountFrequency (%)
11
 
1.9%
10
 
1.8%
24시간 7
 
1.2%
운영 6
 
1.1%
있습니다 6
 
1.1%
진료 6
 
1.1%
전문 5
 
0.9%
수술 4
 
0.7%
진료합니다 4
 
0.7%
산부인과 4
 
0.7%
Other values (376) 505
88.9%
2024-04-14T16:47:01.923277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
511
 
16.2%
, 110
 
3.5%
78
 
2.5%
69
 
2.2%
52
 
1.7%
. 47
 
1.5%
46
 
1.5%
40
 
1.3%
38
 
1.2%
38
 
1.2%
Other values (323) 2122
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2167
68.8%
Space Separator 511
 
16.2%
Other Punctuation 202
 
6.4%
Decimal Number 167
 
5.3%
Uppercase Letter 24
 
0.8%
Open Punctuation 22
 
0.7%
Close Punctuation 20
 
0.6%
Math Symbol 15
 
0.5%
Lowercase Letter 14
 
0.4%
Dash Punctuation 8
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
78
 
3.6%
69
 
3.2%
52
 
2.4%
46
 
2.1%
40
 
1.8%
38
 
1.8%
38
 
1.8%
36
 
1.7%
31
 
1.4%
31
 
1.4%
Other values (281) 1708
78.8%
Decimal Number
ValueCountFrequency (%)
2 34
20.4%
0 32
19.2%
1 28
16.8%
3 22
13.2%
4 11
 
6.6%
8 10
 
6.0%
6 8
 
4.8%
9 8
 
4.8%
5 7
 
4.2%
7 7
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
M 4
16.7%
I 4
16.7%
R 3
12.5%
C 3
12.5%
T 2
8.3%
D 2
8.3%
O 2
8.3%
B 2
8.3%
A 1
 
4.2%
S 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
i 3
21.4%
n 2
14.3%
a 2
14.3%
h 2
14.3%
p 2
14.3%
x 1
 
7.1%
o 1
 
7.1%
z 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 110
54.5%
. 47
23.3%
/ 24
 
11.9%
: 20
 
9.9%
? 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 21
95.5%
[ 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 19
95.0%
] 1
 
5.0%
Math Symbol
ValueCountFrequency (%)
~ 11
73.3%
+ 4
 
26.7%
Space Separator
ValueCountFrequency (%)
511
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2167
68.8%
Common 946
30.0%
Latin 38
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
78
 
3.6%
69
 
3.2%
52
 
2.4%
46
 
2.1%
40
 
1.8%
38
 
1.8%
38
 
1.8%
36
 
1.7%
31
 
1.4%
31
 
1.4%
Other values (281) 1708
78.8%
Common
ValueCountFrequency (%)
511
54.0%
, 110
 
11.6%
. 47
 
5.0%
2 34
 
3.6%
0 32
 
3.4%
1 28
 
3.0%
/ 24
 
2.5%
3 22
 
2.3%
( 21
 
2.2%
: 20
 
2.1%
Other values (14) 97
 
10.3%
Latin
ValueCountFrequency (%)
M 4
 
10.5%
I 4
 
10.5%
R 3
 
7.9%
C 3
 
7.9%
i 3
 
7.9%
T 2
 
5.3%
D 2
 
5.3%
O 2
 
5.3%
n 2
 
5.3%
a 2
 
5.3%
Other values (8) 11
28.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2167
68.8%
ASCII 983
31.2%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
511
52.0%
, 110
 
11.2%
. 47
 
4.8%
2 34
 
3.5%
0 32
 
3.3%
1 28
 
2.8%
/ 24
 
2.4%
3 22
 
2.2%
( 21
 
2.1%
: 20
 
2.0%
Other values (31) 134
 
13.6%
Hangul
ValueCountFrequency (%)
78
 
3.6%
69
 
3.2%
52
 
2.4%
46
 
2.1%
40
 
1.8%
38
 
1.8%
38
 
1.8%
36
 
1.7%
31
 
1.4%
31
 
1.4%
Other values (281) 1708
78.8%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Distinct65
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-14T16:47:02.467941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length36
Mean length18.294118
Min length7

Characters and Unicode

Total characters1244
Distinct characters186
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)91.2%

Sample

1st row샛강역 3번 출구
2nd row샛강역 3번 출구
3rd row서울대입구역 7번 출구 도보 5분
4th row양재역 4번 출구 도보 5분 거리
5th row2호선 신대방역/난곡사거리 인근
ValueCountFrequency (%)
출구 43
 
14.5%
3번 11
 
3.7%
2번 9
 
3.0%
인근 8
 
2.7%
1번 8
 
2.7%
도보 6
 
2.0%
6번 6
 
2.0%
4번 5
 
1.7%
이용 4
 
1.4%
2호선 4
 
1.4%
Other values (150) 192
64.9%
2024-04-14T16:47:03.276055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
 
18.4%
85
 
6.8%
71
 
5.7%
63
 
5.1%
63
 
5.1%
1 29
 
2.3%
2 24
 
1.9%
3 22
 
1.8%
0 19
 
1.5%
18
 
1.4%
Other values (176) 621
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 833
67.0%
Space Separator 229
 
18.4%
Decimal Number 140
 
11.3%
Other Punctuation 21
 
1.7%
Close Punctuation 6
 
0.5%
Lowercase Letter 4
 
0.3%
Dash Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Math Symbol 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
85
 
10.2%
71
 
8.5%
63
 
7.6%
63
 
7.6%
18
 
2.2%
16
 
1.9%
16
 
1.9%
15
 
1.8%
14
 
1.7%
14
 
1.7%
Other values (156) 458
55.0%
Decimal Number
ValueCountFrequency (%)
1 29
20.7%
2 24
17.1%
3 22
15.7%
0 19
13.6%
6 12
8.6%
4 12
8.6%
5 10
 
7.1%
7 7
 
5.0%
9 4
 
2.9%
8 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 14
66.7%
/ 5
 
23.8%
: 2
 
9.5%
Space Separator
ValueCountFrequency (%)
229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 833
67.0%
Common 406
32.6%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
85
 
10.2%
71
 
8.5%
63
 
7.6%
63
 
7.6%
18
 
2.2%
16
 
1.9%
16
 
1.9%
15
 
1.8%
14
 
1.7%
14
 
1.7%
Other values (156) 458
55.0%
Common
ValueCountFrequency (%)
229
56.4%
1 29
 
7.1%
2 24
 
5.9%
3 22
 
5.4%
0 19
 
4.7%
, 14
 
3.4%
6 12
 
3.0%
4 12
 
3.0%
5 10
 
2.5%
7 7
 
1.7%
Other values (8) 28
 
6.9%
Latin
ValueCountFrequency (%)
m 4
80.0%
M 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 833
67.0%
ASCII 411
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
55.7%
1 29
 
7.1%
2 24
 
5.8%
3 22
 
5.4%
0 19
 
4.6%
, 14
 
3.4%
6 12
 
2.9%
4 12
 
2.9%
5 10
 
2.4%
7 7
 
1.7%
Other values (10) 33
 
8.0%
Hangul
ValueCountFrequency (%)
85
 
10.2%
71
 
8.5%
63
 
7.6%
63
 
7.6%
18
 
2.2%
16
 
1.9%
16
 
1.9%
15
 
1.8%
14
 
1.7%
14
 
1.7%
Other values (156) 458
55.0%
Distinct67
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-14T16:47:04.113599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length18
Mean length10.029412
Min length4

Characters and Unicode

Total characters682
Distinct characters129
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)97.1%

Sample

1st row가톨릭대학교 여의도성모병원
2nd row가톨릭대학교 은평성모병원
3rd row강남고려병원
4th row강남베드로병원
5th row강남힐병원
ValueCountFrequency (%)
재단법인베스티안재단베스티안서울병원 2
 
2.7%
가톨릭대학교 2
 
2.7%
이화여자대학교의과대학부속목동병원 1
 
1.4%
의료법인한전의료재단한일병원 1
 
1.4%
의료법인풍산의료재단동부제일병원 1
 
1.4%
의료법인청구성심병원 1
 
1.4%
의료법인성화의료재단대한병원 1
 
1.4%
의료법인동신의료재단동신병원 1
 
1.4%
인제대학교상계백병원 1
 
1.4%
인제대학교서울백병원 1
 
1.4%
Other values (62) 62
83.8%
2024-04-14T16:47:05.346529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
11.0%
67
 
9.8%
34
 
5.0%
32
 
4.7%
29
 
4.3%
24
 
3.5%
20
 
2.9%
19
 
2.8%
18
 
2.6%
17
 
2.5%
Other values (119) 347
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 674
98.8%
Space Separator 6
 
0.9%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
75
 
11.1%
67
 
9.9%
34
 
5.0%
32
 
4.7%
29
 
4.3%
24
 
3.6%
20
 
3.0%
19
 
2.8%
18
 
2.7%
17
 
2.5%
Other values (116) 339
50.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 674
98.8%
Common 8
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
75
 
11.1%
67
 
9.9%
34
 
5.0%
32
 
4.7%
29
 
4.3%
24
 
3.6%
20
 
3.0%
19
 
2.8%
18
 
2.7%
17
 
2.5%
Other values (116) 339
50.3%
Common
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 674
98.8%
ASCII 8
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
75
 
11.1%
67
 
9.9%
34
 
5.0%
32
 
4.7%
29
 
4.3%
24
 
3.6%
20
 
3.0%
19
 
2.8%
18
 
2.7%
17
 
2.5%
Other values (116) 339
50.3%
ASCII
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%

대표전화1
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-14T16:47:06.233143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.161765
Min length9

Characters and Unicode

Total characters759
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

Unique68 ?
Unique (%)100.0%

Sample

1st row1661-7575
2nd row02-1811-7755
3rd row1661-8267
4th row1544-7522
5th row02-853-4600
ValueCountFrequency (%)
1661-7575 1
 
1.5%
02-396-9161 1
 
1.5%
02-2019-3114 1
 
1.5%
02-2228-0114 1
 
1.5%
02-2660-7500 1
 
1.5%
02-388-8114 1
 
1.5%
02-2635-2809 1
 
1.5%
02-1811-7755 1
 
1.5%
02-903-3232 1
 
1.5%
1588-1533 1
 
1.5%
Other values (58) 58
85.3%
2024-04-14T16:47:07.352355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 150
19.8%
- 124
16.3%
2 115
15.2%
1 107
14.1%
8 44
 
5.8%
4 44
 
5.8%
5 42
 
5.5%
7 40
 
5.3%
6 32
 
4.2%
3 31
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 635
83.7%
Dash Punctuation 124
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 150
23.6%
2 115
18.1%
1 107
16.9%
8 44
 
6.9%
4 44
 
6.9%
5 42
 
6.6%
7 40
 
6.3%
6 32
 
5.0%
3 31
 
4.9%
9 30
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 759
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 150
19.8%
- 124
16.3%
2 115
15.2%
1 107
14.1%
8 44
 
5.8%
4 44
 
5.8%
5 42
 
5.5%
7 40
 
5.3%
6 32
 
4.2%
3 31
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 759
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 150
19.8%
- 124
16.3%
2 115
15.2%
1 107
14.1%
8 44
 
5.8%
4 44
 
5.8%
5 42
 
5.5%
7 40
 
5.3%
6 32
 
4.2%
3 31
 
4.1%

응급실전화
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-04-14T16:47:08.221831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.573529
Min length9

Characters and Unicode

Total characters787
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

Unique68 ?
Unique (%)100.0%

Sample

1st row02-3779-1188
2nd row02-1811-7755
3rd row02-874-7227
4th row1544-7522
5th row02-853-9100
ValueCountFrequency (%)
02-3779-1188 1
 
1.5%
02-396-9161 1
 
1.5%
02-2019-3333 1
 
1.5%
02-2227-7777 1
 
1.5%
02-2660-7057 1
 
1.5%
02-388-0119 1
 
1.5%
02-2632-0013 1
 
1.5%
02-1811-7755 1
 
1.5%
02-905-9110 1
 
1.5%
02-2030-5555 1
 
1.5%
Other values (58) 58
85.3%
2024-04-14T16:47:09.350994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 154
19.6%
2 137
17.4%
- 135
17.2%
1 80
10.2%
9 59
 
7.5%
7 45
 
5.7%
8 42
 
5.3%
3 40
 
5.1%
6 36
 
4.6%
5 35
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 652
82.8%
Dash Punctuation 135
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 154
23.6%
2 137
21.0%
1 80
12.3%
9 59
 
9.0%
7 45
 
6.9%
8 42
 
6.4%
3 40
 
6.1%
6 36
 
5.5%
5 35
 
5.4%
4 24
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 787
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 154
19.6%
2 137
17.4%
- 135
17.2%
1 80
10.2%
9 59
 
7.5%
7 45
 
5.7%
8 42
 
5.3%
3 40
 
5.1%
6 36
 
4.6%
5 35
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 154
19.6%
2 137
17.4%
- 135
17.2%
1 80
10.2%
9 59
 
7.5%
7 45
 
5.7%
8 42
 
5.3%
3 40
 
5.1%
6 36
 
4.6%
5 35
 
4.4%

진료시간(월요일)C
Real number (ℝ)

Distinct7
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1732.0588
Minimum1530
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:09.555383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1530
5-th percentile1630
Q11700
median1730
Q31732.5
95-th percentile1800
Maximum2000
Range470
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation64.404478
Coefficient of variation (CV)0.037183771
Kurtosis5.6419987
Mean1732.0588
Median Absolute Deviation (MAD)30
Skewness0.15892474
Sum117780
Variance4147.9368
MonotonicityNot monotonic
2024-04-14T16:47:09.733312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1730 32
47.1%
1800 15
22.1%
1700 13
19.1%
1630 4
 
5.9%
1530 2
 
2.9%
2000 1
 
1.5%
1740 1
 
1.5%
ValueCountFrequency (%)
1530 2
 
2.9%
1630 4
 
5.9%
1700 13
19.1%
1730 32
47.1%
1740 1
 
1.5%
1800 15
22.1%
2000 1
 
1.5%
ValueCountFrequency (%)
2000 1
 
1.5%
1800 15
22.1%
1740 1
 
1.5%
1730 32
47.1%
1700 13
19.1%
1630 4
 
5.9%
1530 2
 
2.9%
Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size672.0 B
1730
33 
1700
15 
1800
14 
1630
1530
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1700
2nd row1700
3rd row1800
4th row1800
5th row1800

Common Values

ValueCountFrequency (%)
1730 33
48.5%
1700 15
22.1%
1800 14
20.6%
1630 4
 
5.9%
1530 2
 
2.9%

Length

2024-04-14T16:47:09.935992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:47:10.123879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1730 33
48.5%
1700 15
22.1%
1800 14
20.6%
1630 4
 
5.9%
1530 2
 
2.9%

진료시간(수요일)C
Real number (ℝ)

Distinct6
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1726.1765
Minimum1530
Maximum1800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:10.314386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1530
5-th percentile1630
Q11700
median1730
Q31730
95-th percentile1800
Maximum1800
Range270
Interquartile range (IQR)30

Descriptive statistics

Standard deviation54.8003
Coefficient of variation (CV)0.031746638
Kurtosis3.607628
Mean1726.1765
Median Absolute Deviation (MAD)30
Skewness-1.2418653
Sum117380
Variance3003.0729
MonotonicityNot monotonic
2024-04-14T16:47:10.505802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1730 32
47.1%
1700 15
22.1%
1800 14
20.6%
1630 4
 
5.9%
1530 2
 
2.9%
1740 1
 
1.5%
ValueCountFrequency (%)
1530 2
 
2.9%
1630 4
 
5.9%
1700 15
22.1%
1730 32
47.1%
1740 1
 
1.5%
1800 14
20.6%
ValueCountFrequency (%)
1800 14
20.6%
1740 1
 
1.5%
1730 32
47.1%
1700 15
22.1%
1630 4
 
5.9%
1530 2
 
2.9%

진료시간(목요일)C
Real number (ℝ)

Distinct6
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1728.9706
Minimum1530
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:10.689354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1530
5-th percentile1630
Q11700
median1730
Q31730
95-th percentile1800
Maximum2000
Range470
Interquartile range (IQR)30

Descriptive statistics

Standard deviation63.48439
Coefficient of variation (CV)0.036718028
Kurtosis6.1627424
Mean1728.9706
Median Absolute Deviation (MAD)30
Skewness0.27472553
Sum117570
Variance4030.2678
MonotonicityNot monotonic
2024-04-14T16:47:10.866360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1730 33
48.5%
1700 15
22.1%
1800 13
 
19.1%
1630 4
 
5.9%
1530 2
 
2.9%
2000 1
 
1.5%
ValueCountFrequency (%)
1530 2
 
2.9%
1630 4
 
5.9%
1700 15
22.1%
1730 33
48.5%
1800 13
 
19.1%
2000 1
 
1.5%
ValueCountFrequency (%)
2000 1
 
1.5%
1800 13
 
19.1%
1730 33
48.5%
1700 15
22.1%
1630 4
 
5.9%
1530 2
 
2.9%

진료시간(금요일)C
Real number (ℝ)

Distinct7
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1719.2647
Minimum1230
Maximum1800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:11.033839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1230
5-th percentile1630
Q11700
median1730
Q31730
95-th percentile1800
Maximum1800
Range570
Interquartile range (IQR)30

Descriptive statistics

Standard deviation81.356341
Coefficient of variation (CV)0.047320428
Kurtosis19.486164
Mean1719.2647
Median Absolute Deviation (MAD)30
Skewness-3.6041711
Sum116910
Variance6618.8543
MonotonicityNot monotonic
2024-04-14T16:47:11.206515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1730 32
47.1%
1700 14
20.6%
1800 14
20.6%
1630 4
 
5.9%
1530 2
 
2.9%
1230 1
 
1.5%
1740 1
 
1.5%
ValueCountFrequency (%)
1230 1
 
1.5%
1530 2
 
2.9%
1630 4
 
5.9%
1700 14
20.6%
1730 32
47.1%
1740 1
 
1.5%
1800 14
20.6%
ValueCountFrequency (%)
1800 14
20.6%
1740 1
 
1.5%
1730 32
47.1%
1700 14
20.6%
1630 4
 
5.9%
1530 2
 
2.9%
1230 1
 
1.5%

진료시간(토요일)C
Real number (ℝ)

Distinct9
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1265.5882
Minimum1130
Maximum1800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:11.384758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1130
5-th percentile1200
Q11215
median1230
Q31300
95-th percentile1400
Maximum1800
Range670
Interquartile range (IQR)85

Descriptive statistics

Standard deviation91.413157
Coefficient of variation (CV)0.072229778
Kurtosis17.10853
Mean1265.5882
Median Absolute Deviation (MAD)30
Skewness3.3842922
Sum86060
Variance8356.3652
MonotonicityNot monotonic
2024-04-14T16:47:11.577978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1230 22
32.4%
1300 20
29.4%
1200 16
23.5%
1400 4
 
5.9%
1220 2
 
2.9%
1500 1
 
1.5%
1330 1
 
1.5%
1800 1
 
1.5%
1130 1
 
1.5%
ValueCountFrequency (%)
1130 1
 
1.5%
1200 16
23.5%
1220 2
 
2.9%
1230 22
32.4%
1300 20
29.4%
1330 1
 
1.5%
1400 4
 
5.9%
1500 1
 
1.5%
1800 1
 
1.5%
ValueCountFrequency (%)
1800 1
 
1.5%
1500 1
 
1.5%
1400 4
 
5.9%
1330 1
 
1.5%
1300 20
29.4%
1230 22
32.4%
1220 2
 
2.9%
1200 16
23.5%
1130 1
 
1.5%

진료시간(일요일)C
Real number (ℝ)

Distinct14
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1601.75
Minimum1200
Maximum2359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:11.775184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile1300
Q11300
median1500
Q31800
95-th percentile2200
Maximum2359
Range1159
Interquartile range (IQR)500

Descriptive statistics

Standard deviation310.98478
Coefficient of variation (CV)0.19415313
Kurtosis-0.40475547
Mean1601.75
Median Absolute Deviation (MAD)200
Skewness0.82871992
Sum108919
Variance96711.534
MonotonicityNot monotonic
2024-04-14T16:47:11.977619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1300 17
25.0%
1600 9
13.2%
1400 9
13.2%
1500 6
 
8.8%
1700 6
 
8.8%
2200 6
 
8.8%
1800 5
 
7.4%
2100 3
 
4.4%
1200 2
 
2.9%
2359 1
 
1.5%
Other values (4) 4
 
5.9%
ValueCountFrequency (%)
1200 2
 
2.9%
1300 17
25.0%
1400 9
13.2%
1430 1
 
1.5%
1500 6
 
8.8%
1600 9
13.2%
1700 6
 
8.8%
1800 5
 
7.4%
1900 1
 
1.5%
2000 1
 
1.5%
ValueCountFrequency (%)
2359 1
 
1.5%
2200 6
8.8%
2100 3
 
4.4%
2030 1
 
1.5%
2000 1
 
1.5%
1900 1
 
1.5%
1800 5
7.4%
1700 6
8.8%
1600 9
13.2%
1500 6
8.8%

진료시간(공휴일)C
Real number (ℝ)

Distinct11
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1470.8676
Minimum1200
Maximum2359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:12.164377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile1300
Q11300
median1400
Q31600
95-th percentile1775.5
Maximum2359
Range1159
Interquartile range (IQR)300

Descriptive statistics

Standard deviation199.62539
Coefficient of variation (CV)0.13571948
Kurtosis5.5898567
Mean1470.8676
Median Absolute Deviation (MAD)100
Skewness1.8658418
Sum100019
Variance39850.296
MonotonicityNot monotonic
2024-04-14T16:47:12.355936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1300 20
29.4%
1400 15
22.1%
1500 12
17.6%
1600 9
13.2%
1700 4
 
5.9%
1200 2
 
2.9%
1800 2
 
2.9%
1730 1
 
1.5%
2359 1
 
1.5%
1630 1
 
1.5%
ValueCountFrequency (%)
1200 2
 
2.9%
1300 20
29.4%
1400 15
22.1%
1500 12
17.6%
1600 9
13.2%
1630 1
 
1.5%
1700 4
 
5.9%
1730 1
 
1.5%
1800 2
 
2.9%
2100 1
 
1.5%
ValueCountFrequency (%)
2359 1
 
1.5%
2100 1
 
1.5%
1800 2
 
2.9%
1730 1
 
1.5%
1700 4
 
5.9%
1630 1
 
1.5%
1600 9
13.2%
1500 12
17.6%
1400 15
22.1%
1300 20
29.4%
Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
900
34 
830
28 
800
930
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row900
2nd row830
3rd row900
4th row900
5th row900

Common Values

ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%

Length

2024-04-14T16:47:12.570076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:47:12.751799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%
Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
900
34 
830
28 
800
930
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row900
2nd row830
3rd row900
4th row900
5th row900

Common Values

ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%

Length

2024-04-14T16:47:13.001889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:47:13.183947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%
Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
900
34 
830
28 
800
930
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row900
2nd row830
3rd row900
4th row900
5th row900

Common Values

ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%

Length

2024-04-14T16:47:13.379582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:47:13.562230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%
Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
900
34 
830
28 
800
930
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row900
2nd row830
3rd row900
4th row900
5th row900

Common Values

ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%

Length

2024-04-14T16:47:13.757574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:47:13.940084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%
Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size672.0 B
900
34 
830
28 
800
930
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row900
2nd row830
3rd row900
4th row900
5th row900

Common Values

ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%

Length

2024-04-14T16:47:14.133917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:47:14.315937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 34
50.0%
830 28
41.2%
800 5
 
7.4%
930 1
 
1.5%
Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size672.0 B
900
36 
830
22 
800
930
 
3
1500
 
1

Length

Max length4
Median length3
Mean length3.0147059
Min length3

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row900
2nd row830
3rd row900
4th row900
5th row900

Common Values

ValueCountFrequency (%)
900 36
52.9%
830 22
32.4%
800 6
 
8.8%
930 3
 
4.4%
1500 1
 
1.5%

Length

2024-04-14T16:47:14.516642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-14T16:47:14.710442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 36
52.9%
830 22
32.4%
800 6
 
8.8%
930 3
 
4.4%
1500 1
 
1.5%

진료시간(일요일)S
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean937.35294
Minimum0
Maximum1500
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:14.888292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile810.5
Q1900
median900
Q31000
95-th percentile1000
Maximum1500
Range1500
Interquartile range (IQR)100

Descriptive statistics

Standard deviation165.91328
Coefficient of variation (CV)0.17700193
Kurtosis17.664743
Mean937.35294
Median Absolute Deviation (MAD)30
Skewness-1.5323702
Sum63740
Variance27527.217
MonotonicityNot monotonic
2024-04-14T16:47:15.071242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
900 31
45.6%
1000 22
32.4%
930 5
 
7.4%
800 3
 
4.4%
830 3
 
4.4%
1400 2
 
2.9%
0 1
 
1.5%
1500 1
 
1.5%
ValueCountFrequency (%)
0 1
 
1.5%
800 3
 
4.4%
830 3
 
4.4%
900 31
45.6%
930 5
 
7.4%
1000 22
32.4%
1400 2
 
2.9%
1500 1
 
1.5%
ValueCountFrequency (%)
1500 1
 
1.5%
1400 2
 
2.9%
1000 22
32.4%
930 5
 
7.4%
900 31
45.6%
830 3
 
4.4%
800 3
 
4.4%
0 1
 
1.5%

진료시간(공휴일)S
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean905.73529
Minimum0
Maximum1000
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:15.264169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile810.5
Q1900
median900
Q3930
95-th percentile1000
Maximum1000
Range1000
Interquartile range (IQR)30

Descriptive statistics

Standard deviation122.01439
Coefficient of variation (CV)0.13471308
Kurtosis46.541346
Mean905.73529
Median Absolute Deviation (MAD)0
Skewness-6.2269809
Sum61590
Variance14887.511
MonotonicityNot monotonic
2024-04-14T16:47:15.453963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
900 37
54.4%
1000 14
 
20.6%
930 11
 
16.2%
800 3
 
4.4%
830 2
 
2.9%
0 1
 
1.5%
ValueCountFrequency (%)
0 1
 
1.5%
800 3
 
4.4%
830 2
 
2.9%
900 37
54.4%
930 11
 
16.2%
1000 14
 
20.6%
ValueCountFrequency (%)
1000 14
 
20.6%
930 11
 
16.2%
900 37
54.4%
830 2
 
2.9%
800 3
 
4.4%
0 1
 
1.5%

우편번호1
Real number (ℝ)

Distinct42
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.911765
Minimum10
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:15.671766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15.05
Q130.75
median53
Q373.25
95-th percentile86.65
Maximum87
Range77
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation23.903247
Coefficient of variation (CV)0.46045916
Kurtosis-1.3235245
Mean51.911765
Median Absolute Deviation (MAD)21
Skewness-0.17731095
Sum3530
Variance571.36523
MonotonicityNot monotonic
2024-04-14T16:47:15.924931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
87 4
 
5.9%
73 3
 
4.4%
62 3
 
4.4%
74 3
 
4.4%
72 3
 
4.4%
33 3
 
4.4%
45 2
 
2.9%
25 2
 
2.9%
75 2
 
2.9%
47 2
 
2.9%
Other values (32) 41
60.3%
ValueCountFrequency (%)
10 2
2.9%
11 1
1.5%
14 1
1.5%
17 1
1.5%
18 2
2.9%
20 2
2.9%
22 1
1.5%
24 2
2.9%
25 2
2.9%
28 1
1.5%
ValueCountFrequency (%)
87 4
5.9%
86 1
 
1.5%
83 1
 
1.5%
82 1
 
1.5%
80 1
 
1.5%
79 2
2.9%
78 1
 
1.5%
76 1
 
1.5%
75 2
2.9%
74 3
4.4%

우편번호2
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.367647
Minimum0
Maximum94
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:16.205329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.05
Q129
median50.5
Q368.5
95-th percentile88.65
Maximum94
Range94
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation27.160059
Coefficient of variation (CV)0.57338839
Kurtosis-1.0149737
Mean47.367647
Median Absolute Deviation (MAD)20.5
Skewness-0.14593287
Sum3221
Variance737.66879
MonotonicityNot monotonic
2024-04-14T16:47:16.447665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
30 4
 
5.9%
56 3
 
4.4%
1 3
 
4.4%
81 3
 
4.4%
47 2
 
2.9%
51 2
 
2.9%
5 2
 
2.9%
73 2
 
2.9%
8 2
 
2.9%
41 2
 
2.9%
Other values (39) 43
63.2%
ValueCountFrequency (%)
0 1
 
1.5%
1 3
4.4%
4 1
 
1.5%
5 2
2.9%
8 2
2.9%
12 2
2.9%
15 1
 
1.5%
17 1
 
1.5%
21 1
 
1.5%
22 1
 
1.5%
ValueCountFrequency (%)
94 1
 
1.5%
91 1
 
1.5%
90 1
 
1.5%
89 1
 
1.5%
88 1
 
1.5%
85 1
 
1.5%
84 1
 
1.5%
81 3
4.4%
80 1
 
1.5%
79 1
 
1.5%

병원경도
Real number (ℝ)

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98287
Minimum126.79637
Maximum127.15708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:16.865614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.79637
5-th percentile126.84141
Q1126.91132
median126.97839
Q3127.05034
95-th percentile127.11843
Maximum127.15708
Range0.36071948
Interquartile range (IQR)0.13901804

Descriptive statistics

Standard deviation0.087727304
Coefficient of variation (CV)0.00069085937
Kurtosis-0.92471867
Mean126.98287
Median Absolute Deviation (MAD)0.068890427
Skewness0.014337718
Sum8634.835
Variance0.0076960798
MonotonicityNot monotonic
2024-04-14T16:47:17.126524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.93673129599132 1
 
1.5%
127.02267251878474 1
 
1.5%
127.06311619032103 1
 
1.5%
126.8362659275 1
 
1.5%
126.8862159683056 1
 
1.5%
127.02902417950423 1
 
1.5%
127.1090292210168 1
 
1.5%
126.91955399169244 1
 
1.5%
126.93253922577289 1
 
1.5%
126.933734666413 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
126.7963653099318 1
1.5%
126.8331299304024 1
1.5%
126.83602535156236 1
1.5%
126.8362659275 1
1.5%
126.8509495053918 1
1.5%
126.8636640030062 1
1.5%
126.86636039556484 1
1.5%
126.8847449363546 1
1.5%
126.8862159683056 1
1.5%
126.890913736375 1
1.5%
ValueCountFrequency (%)
127.157084787845 1
1.5%
127.14671886173552 1
1.5%
127.13526354631516 1
1.5%
127.123487935032 1
1.5%
127.1090292210168 1
1.5%
127.10823825113609 1
1.5%
127.0980910949257 1
1.5%
127.08668245340024 1
1.5%
127.08605546969356 1
1.5%
127.08360130258502 1
1.5%

병원위도
Real number (ℝ)

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.548637
Minimum37.455671
Maximum37.648581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-04-14T16:47:17.394477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.455671
5-th percentile37.484743
Q137.50555
median37.546445
Q337.581733
95-th percentile37.636103
Maximum37.648581
Range0.19291063
Interquartile range (IQR)0.0761832

Descriptive statistics

Standard deviation0.049844663
Coefficient of variation (CV)0.0013274693
Kurtosis-0.84697786
Mean37.548637
Median Absolute Deviation (MAD)0.038558504
Skewness0.3448695
Sum2553.3073
Variance0.0024844904
MonotonicityNot monotonic
2024-04-14T16:47:17.670278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51827233800711 1
 
1.5%
37.63547043209498 1
 
1.5%
37.6485812672986 1
 
1.5%
37.557261149 1
 
1.5%
37.53654282637804 1
 
1.5%
37.64611570419094 1
 
1.5%
37.60067564592665 1
 
1.5%
37.62079154435882 1
 
1.5%
37.48427507045319 1
 
1.5%
37.5525892651719 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
37.45567063464179 1
1.5%
37.4796247835746 1
1.5%
37.4816513439454 1
1.5%
37.48427507045319 1
1.5%
37.48561217992573 1
1.5%
37.4856188363947 1
1.5%
37.48851613490445 1
1.5%
37.49068925436284 1
1.5%
37.49211114525054 1
1.5%
37.49280698464548 1
1.5%
ValueCountFrequency (%)
37.6485812672986 1
1.5%
37.64611570419094 1
1.5%
37.6402559204261 1
1.5%
37.636442927386746 1
1.5%
37.63547043209498 1
1.5%
37.63360840972685 1
1.5%
37.62881598133036 1
1.5%
37.6254205559935 1
1.5%
37.62079154435882 1
1.5%
37.6146922208583 1
1.5%
Distinct24
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Memory size672.0 B
Minimum2020-12-07 14:53:31
Maximum2024-04-07 15:10:28
2024-04-14T16:47:17.928364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T16:47:18.129902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

Sample

기관ID주소병원분류병원분류명응급의료기관코드응급의료기관코드명응급실운영여부비고기관설명상세간이약도기관명대표전화1응급실전화진료시간(월요일)C진료시간(화요일)C진료시간(수요일)C진료시간(목요일)C진료시간(금요일)C진료시간(토요일)C진료시간(일요일)C진료시간(공휴일)C진료시간(월요일)S진료시간(화요일)S진료시간(수요일)S진료시간(목요일)S진료시간(금요일)S진료시간(토요일)S진료시간(일요일)S진료시간(공휴일)S우편번호1우편번호2병원경도병원위도작업시간
0A1100011서울특별시 영등포구 63로 10, 여의도성모병원 (여의도동)A종합병원G006지역응급의료센터1점심시간 13:00~14:00저희 치과는 임플란트 보철 사랑니수술 등 치아에 관련된 모든 치료가능합니다(교정과도 같이 있음)샛강역 3번 출구가톨릭대학교 여의도성모병원1661-757502-3779-11881700170017001700170012001600120090090090090090090010009007345126.93673137.5182722024-04-07 15:09:57.0
1A1121013서울특별시 은평구 통일로 1021 (진관동)A종합병원G006지역응급의료센터1점심시간 13:00~14:00저희 치과는 임플란트 보철 사랑니수술 등 치아에 관련된 모든 치료가능합니다(교정과도 같이 있음)샛강역 3번 출구가톨릭대학교 은평성모병원02-1811-775502-1811-77551700170017001700170012001600120083083083083083083010009003312126.9161537.6336082024-04-07 15:09:57.0
2A1100047서울특별시 관악구 관악로 242 (봉천동)B병원G009응급의료기관 외의 의료기관(응급의료시설)1응급실진료 07:00-24:00화요일 야간진료 예약시 21시까지서울대입구역 7번 출구 도보 5분강남고려병원1661-826702-874-72271800180018001800180013001600173090090090090090090010009008735126.95678237.4856192024-04-07 15:09:57.0
3A1100141서울특별시 강남구 남부순환로 2649, 베드로병원 (도곡동)A종합병원G009응급의료기관 외의 의료기관(응급의료시설)1외래 진료 운영시간 이외에는 응급의학과 전문의 근무24시간 응급실 운영 응급의학과, 정형외과(사지골절), 신경외과(뇌척추 수술), 내과(소화기, 순환기), 비뇨기과(요로결석, 전립선비대증), 산부인과, 심장내과(심혈관 질환, 흉통(, 신장내과(투석), 신경중재의학과(뇌혈관질환, 혈관색전술), 일반외과(갑상선), 영상의학과(CT, MRI)등 15개과 29명의 전문의 진료양재역 4번 출구 도보 5분 거리강남베드로병원1544-75221544-752218001800180018001800140023592359900900900900900900006271127.03958737.4856122024-04-07 15:09:57.0
4A1100076서울특별시 관악구 남부순환로 1449, 강남힐병원 (신림동)B병원G009응급의료기관 외의 의료기관(응급의료시설)124시간 응급실 운영 내과/검진센터 2, 4주 토요일 휴진관악구 봉천동 187병상 투석 가능한 요양병원입니다.2호선 신대방역/난곡사거리 인근강남힐병원02-853-460002-853-9100180018001800180018001300160016009009009009009009009009008767126.91164837.4816512024-04-07 15:09:57.0
5A1100043서울특별시 강동구 동남로 892 (상일동)A종합병원G001권역응급의료센터1점심시간 13:00~14:00관악구 봉천동 187병상 투석 가능한 요양병원입니다.고덕역 4번 출구강동경희대학교의대병원02-440-711402-440-7000173017301730173017301200160016008308308308308308309009005278127.15708537.5520462024-04-07 15:09:57.0
6A1100006서울특별시 종로구 새문안로 29 (평동)A종합병원G006지역응급의료센터1점심시간 12:30~13:30(토요일 점심시간 없이 진료)백내장, 백내장수술, 녹내장, 콘택트렌즈, 안구건조증, 시력검사, 일반 안과 진료서대문역 4번 출구강북삼성병원02-2001-200102-2001-100017001700170017001700123016001600830830830830830830100010003181126.96793837.5684982024-04-07 15:09:57.0
7A1121842서울특별시 강북구 도봉로 187, 지하1층, 2층~5층 (미아동)B병원G009응급의료기관 외의 의료기관(응급의료시설)1점심시간 오후1시~2시24시간 진료 정형외과 수술가능(골절, 수지접합등)답십리 사거리와 전농동 사거리 사이강북으뜸병원02-986-033402-986-0334200018001800200018001300150015009009009009009009008008001170127.02618537.6254212024-04-07 15:09:57.0
8A1100002서울특별시 광진구 능동로 120-1 (화양동)A종합병원G006지역응급의료센터1점심시간:13~14시건강제일의료소비자생활협동조합건대입구역 3,4번 출구건국대학교병원1588-153302-2030-555517301730173017301730123014001400830830830830830830100010005030127.07212337.5408452024-04-07 15:09:58.0
9A1100039서울특별시 송파구 송이로 123, 국립경찰병원 (가락동)A종합병원G007지역응급의료기관1응급의료센터 - 24시간 진료보건복지부 지정 추나요법 시범사업기관입니다. 침, 한약, 추나, 면역약침등의 한의학적 치료방법을 이용하여 환자의 질병상태들 진단하고 치료합니다.경찰병원역 1,2번 출구경찰병원02-3400-111402-3400-1300173017301730173017301230170016009009009009009009009009305715127.12348837.4964132024-04-07 15:09:58.0
기관ID주소병원분류병원분류명응급의료기관코드응급의료기관코드명응급실운영여부비고기관설명상세간이약도기관명대표전화1응급실전화진료시간(월요일)C진료시간(화요일)C진료시간(수요일)C진료시간(목요일)C진료시간(금요일)C진료시간(토요일)C진료시간(일요일)C진료시간(공휴일)C진료시간(월요일)S진료시간(화요일)S진료시간(수요일)S진료시간(목요일)S진료시간(금요일)S진료시간(토요일)S진료시간(일요일)S진료시간(공휴일)S우편번호1우편번호2병원경도병원위도작업시간
58A1100008서울특별시 성북구 고려대로 73, 고려대병원 (안암동5가)A종합병원G001권역응급의료센터1점심시간 13:00~14:00하지정맥류 전문 병원입니다.지하철 6호선 안암역 하차 후 1번출구 도보 500m학교법인고려중앙학원고려대학교의과대학부속병원(안암병원)1577-008302-920-53741730173017301730173012002200130083083083083083080010009002841127.02647137.5871562024-04-07 15:10:27.0
59A1100163서울특별시 영등포구 영등포로 83, 한강수병원 (양평동1가)B병원G009응급의료기관 외의 의료기관(응급의료시설)1※ 365일 휴일없이 화상 및 외상치료가 필요한 분들이라면 언제든지 한강수병원에서 진료받을 수 있습니다. **화상외상센터** [야간, 주말, 공휴일 외래연장진료] - 평일 야간진료 : 19:00~20:00 - 토요 연장진료 : 14:00~16:00 - 일요일/공휴일 외래진료 : 09:00~13:00 [365일 24시간 응급실 운영] *전문의 상주 *외래진료 및 응급실 별도 운영 진료예약 및 문의 : ☎ 1800-7119한강수병원은 국내최초 성형외과 전문의가 주축이 되어 만든 화상특화병원으로 화상외상센터, 흉터성형센터, 상처치료센터, 재활클리닉 등을 운영하고 있다. 전문의료진이 다년간 쌓아온 화상, 외상, 상처치료 노하우로 진료하고 있으며 이후 발생할 수 있는 흉터까지 통합적이고 체계적인 치료서비스를 제공하고 있다.양남사거리 인근한강수병원02-1800-711902-2063-8413180018001800180018001300130013009009009009009009009009007262126.89091437.5224052024-04-07 15:10:27.0
60A1100053서울특별시 강동구 진황도로61길 53 (둔촌동)A종합병원G006지역응급의료센터1외래진료없이 입원상담만 진행함한국공항공사 서울지역본부 구조소방센터 입니다.9호선 중앙보훈병원역 2번 출구한국보훈복지의료공단중앙보훈병원02-2225-111102-2225-1100173017301730173017301300130013009009009009009008009009005368127.14671937.5282212024-04-07 15:10:27.0
61A1100027서울특별시 노원구 노원로 75, 한국원자력의학원 (공릉동)A종합병원G007지역응급의료기관1점심시간 13:00~14:00영상의학과공릉역 2번 출구 도보 10분한국원자력의학원원자력병원02-970-211402-970-2620163016301630163016301300130013008308308308308309009009001812127.08269337.6288162024-04-07 15:10:27.0
62A1100055서울특별시 영등포구 신길로 1 (대림동, 강남성심병원)A종합병원G006지역응급의료센터1점심시간 13:00~14:00점심 12:30~13:30대림삼거리 인근한림대학교강남성심병원02-829-511402-829-511916301630163016301630120015001500830830830830830830100010007441126.90867337.4932492024-04-07 15:10:27.0
63A1100038서울특별시 영등포구 버드나루로7길 12 (영등포동7가, 한강성심병원)A종합병원G009응급의료기관 외의 의료기관(응급의료시설)1진료과에따라 상이함(연락 후 내원 바람)점심 12:30~13:30서울특별시 영등포구 버드나루로7길 12 (영등포동 7가 94-200)한림대학교한강성심병원02-2639-511402-2639-555516301630163016301630120015001500900900900900900830100010007247126.9103337.5234672024-04-07 15:10:27.0
64A1100013서울특별시 성동구 왕십리로 222-1 (사근동)A종합병원G001권역응급의료센터1점심시간: 13시~14시관절염/류마티스 전문/한양대역 1번 출구 왕십리역:6번,13번 출구->650M(도보10분) 왕십리역:6-1번 출구->셔틀버스2,3,4호차 이용한양대학교병원02-2290-811402-2290-8284173017301730173017301230140013009009009009009009009309004763127.04488337.5599452024-04-07 15:10:27.0
65A1100051서울특별시 광진구 자양로 85 (자양동)A종합병원G007지역응급의료기관1점심시간 이후 진료시작 14:15부터24시간 전문의 진료가 가능한 서울 동북부 지역 거점병원입니다.2호선 구의역 4번출구 직진방향 5분 거리혜민병원02-2049-900002-2049-9119173017301730173017301220130013008308308308308308309009005056127.08360137.5353162024-04-07 15:10:28.0
66A1100019서울특별시 양천구 목동로 225, 홍익병원본관 (신정동)A종합병원G007지역응급의료기관1평일 30분전 접수마감 토요일 13시 접수마감후두내시경O/수액처치O목동역 2번 출구홍익병원02-2693-555502-2600-0777180017001700170017001300140014009009009009009009009009007937126.86366437.5284412024-04-07 15:10:28.0
67A1100049서울특별시 금천구 시흥대로 244 (시흥동)A종합병원G007지역응급의료기관1점심시간 12:00-13:00이비인후과는 토요일 휴진금천구청역 1번 출구희명병원02-804-000202-809-012217301730173017301730123017001400830830830830830830100010008626126.90056337.4556712024-04-07 15:10:28.0