Overview

Dataset statistics

Number of variables34
Number of observations10000
Missing cells253
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 MiB
Average record size in memory301.0 B

Variable types

Text8
Categorical5
Numeric20
DateTime1

Dataset

Description기관ID,주소,병원분류,병원분류명,응급의료기관코드,응급의료기관코드명,응급실운영여부(1/2),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-20337/S/1/datasetView.do

Alerts

병원분류 is highly imbalanced (51.1%)Imbalance
병원분류명 is highly imbalanced (51.1%)Imbalance
응급의료기관코드 is highly imbalanced (98.2%)Imbalance
응급의료기관코드명 is highly imbalanced (98.2%)Imbalance
응급실운영여부(1/2) is highly imbalanced (96.5%)Imbalance
응급실전화 has 153 (1.5%) missing valuesMissing
병원경도 is highly skewed (γ1 = -99.27323443)Skewed
병원위도 is highly skewed (γ1 = -91.66723936)Skewed
기관ID has unique valuesUnique
진료시간(일요일)S has 147 (1.5%) zerosZeros
진료시간(공휴일)S has 152 (1.5%) zerosZeros

Reproduction

Analysis started2024-05-11 07:35:20.288311
Analysis finished2024-05-11 07:35:26.039564
Duration5.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관ID
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:35:26.737075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters80000
Distinct characters15
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowA1124199
2nd rowA1108549
3rd rowB1105940
4th rowA1121150
5th rowA1120611
ValueCountFrequency (%)
a1124199 1
 
< 0.1%
a1104893 1
 
< 0.1%
a1106587 1
 
< 0.1%
a1109549 1
 
< 0.1%
a1122094 1
 
< 0.1%
a1122222 1
 
< 0.1%
a1101453 1
 
< 0.1%
a1121621 1
 
< 0.1%
b1106199 1
 
< 0.1%
a1116127 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-05-11T07:35:28.561030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 26403
33.0%
0 10381
 
13.0%
A 7952
 
9.9%
2 6357
 
7.9%
4 4134
 
5.2%
3 4003
 
5.0%
5 3829
 
4.8%
6 3813
 
4.8%
9 3727
 
4.7%
7 3705
 
4.6%
Other values (5) 5696
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70000
87.5%
Uppercase Letter 10000
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26403
37.7%
0 10381
 
14.8%
2 6357
 
9.1%
4 4134
 
5.9%
3 4003
 
5.7%
5 3829
 
5.5%
6 3813
 
5.4%
9 3727
 
5.3%
7 3705
 
5.3%
8 3648
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 7952
79.5%
B 1989
 
19.9%
C 36
 
0.4%
E 21
 
0.2%
G 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 70000
87.5%
Latin 10000
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 26403
37.7%
0 10381
 
14.8%
2 6357
 
9.1%
4 4134
 
5.9%
3 4003
 
5.7%
5 3829
 
5.5%
6 3813
 
5.4%
9 3727
 
5.3%
7 3705
 
5.3%
8 3648
 
5.2%
Latin
ValueCountFrequency (%)
A 7952
79.5%
B 1989
 
19.9%
C 36
 
0.4%
E 21
 
0.2%
G 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 26403
33.0%
0 10381
 
13.0%
A 7952
 
9.9%
2 6357
 
7.9%
4 4134
 
5.2%
3 4003
 
5.0%
5 3829
 
4.8%
6 3813
 
4.8%
9 3727
 
4.7%
7 3705
 
4.6%
Other values (5) 5696
 
7.1%

주소
Text

Distinct9722
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:35:30.163736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length63
Mean length32.9723
Min length15

Characters and Unicode

Total characters329723
Distinct characters647
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9476 ?
Unique (%)94.8%

Sample

1st row서울특별시 강남구 선릉로 34, 4층 (개포동)
2nd row서울특별시 도봉구 도봉로180나길 41, 409호,410호 (도봉동, 도봉한신아파트상가)
3rd row서울특별시 서대문구 수색로 56, 성공타워1 1층 129, 130호 (북가좌동)
4th row서울특별시 동대문구 사가정로 127, 2층 (전농동)
5th row서울특별시 마포구 만리재로 133, 3층 (아현동)
ValueCountFrequency (%)
서울특별시 10000
 
15.3%
2층 1931
 
2.9%
강남구 1585
 
2.4%
3층 1207
 
1.8%
서초구 766
 
1.2%
4층 722
 
1.1%
송파구 681
 
1.0%
5층 480
 
0.7%
강동구 466
 
0.7%
강서구 465
 
0.7%
Other values (7953) 47188
72.1%
2024-05-11T07:35:32.085645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55681
 
16.9%
12705
 
3.9%
12648
 
3.8%
, 12251
 
3.7%
11007
 
3.3%
10811
 
3.3%
10426
 
3.2%
10084
 
3.1%
10003
 
3.0%
10000
 
3.0%
Other values (637) 174107
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188044
57.0%
Space Separator 55681
 
16.9%
Decimal Number 51010
 
15.5%
Other Punctuation 12319
 
3.7%
Close Punctuation 9910
 
3.0%
Open Punctuation 9907
 
3.0%
Uppercase Letter 1468
 
0.4%
Dash Punctuation 708
 
0.2%
Math Symbol 431
 
0.1%
Lowercase Letter 235
 
0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12705
 
6.8%
12648
 
6.7%
11007
 
5.9%
10811
 
5.7%
10426
 
5.5%
10084
 
5.4%
10003
 
5.3%
10000
 
5.3%
6584
 
3.5%
3627
 
1.9%
Other values (561) 90149
47.9%
Uppercase Letter
ValueCountFrequency (%)
B 193
13.1%
A 153
 
10.4%
S 114
 
7.8%
E 95
 
6.5%
K 90
 
6.1%
C 89
 
6.1%
O 78
 
5.3%
T 75
 
5.1%
R 73
 
5.0%
I 67
 
4.6%
Other values (16) 441
30.0%
Lowercase Letter
ValueCountFrequency (%)
e 48
20.4%
a 21
8.9%
n 20
8.5%
r 18
 
7.7%
u 16
 
6.8%
v 16
 
6.8%
i 15
 
6.4%
s 15
 
6.4%
b 12
 
5.1%
t 12
 
5.1%
Other values (10) 42
17.9%
Decimal Number
ValueCountFrequency (%)
2 9286
18.2%
1 9115
17.9%
3 6952
13.6%
0 5534
10.8%
4 5040
9.9%
5 4296
8.4%
6 3392
 
6.6%
7 2750
 
5.4%
8 2445
 
4.8%
9 2200
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 12251
99.4%
. 40
 
0.3%
& 10
 
0.1%
/ 6
 
< 0.1%
? 5
 
< 0.1%
@ 3
 
< 0.1%
2
 
< 0.1%
: 1
 
< 0.1%
' 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 426
98.8%
+ 4
 
0.9%
1
 
0.2%
Letter Number
ValueCountFrequency (%)
4
44.4%
3
33.3%
2
22.2%
Space Separator
ValueCountFrequency (%)
55681
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9910
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9907
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 708
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188044
57.0%
Common 139967
42.4%
Latin 1712
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12705
 
6.8%
12648
 
6.7%
11007
 
5.9%
10811
 
5.7%
10426
 
5.5%
10084
 
5.4%
10003
 
5.3%
10000
 
5.3%
6584
 
3.5%
3627
 
1.9%
Other values (561) 90149
47.9%
Latin
ValueCountFrequency (%)
B 193
 
11.3%
A 153
 
8.9%
S 114
 
6.7%
E 95
 
5.5%
K 90
 
5.3%
C 89
 
5.2%
O 78
 
4.6%
T 75
 
4.4%
R 73
 
4.3%
I 67
 
3.9%
Other values (39) 685
40.0%
Common
ValueCountFrequency (%)
55681
39.8%
, 12251
 
8.8%
) 9910
 
7.1%
( 9907
 
7.1%
2 9286
 
6.6%
1 9115
 
6.5%
3 6952
 
5.0%
0 5534
 
4.0%
4 5040
 
3.6%
5 4296
 
3.1%
Other values (17) 11995
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188044
57.0%
ASCII 141667
43.0%
Number Forms 9
 
< 0.1%
None 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
55681
39.3%
, 12251
 
8.6%
) 9910
 
7.0%
( 9907
 
7.0%
2 9286
 
6.6%
1 9115
 
6.4%
3 6952
 
4.9%
0 5534
 
3.9%
4 5040
 
3.6%
5 4296
 
3.0%
Other values (61) 13695
 
9.7%
Hangul
ValueCountFrequency (%)
12705
 
6.8%
12648
 
6.7%
11007
 
5.9%
10811
 
5.7%
10426
 
5.5%
10084
 
5.4%
10003
 
5.3%
10000
 
5.3%
6584
 
3.5%
3627
 
1.9%
Other values (561) 90149
47.9%
Number Forms
ValueCountFrequency (%)
4
44.4%
3
33.3%
2
22.2%
None
ValueCountFrequency (%)
2
100.0%
Math Operators
ValueCountFrequency (%)
1
100.0%

병원분류
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
C
5190 
N
2512 
G
1977 
B
 
117
D
 
74
Other values (6)
 
130

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowC
2nd rowN
3rd rowG
4th rowN
5th rowC

Common Values

ValueCountFrequency (%)
C 5190
51.9%
N 2512
25.1%
G 1977
 
19.8%
B 117
 
1.2%
D 74
 
0.7%
E 46
 
0.5%
A 31
 
0.3%
M 27
 
0.3%
R 18
 
0.2%
I 7
 
0.1%

Length

2024-05-11T07:35:32.686183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
c 5190
51.9%
n 2512
25.1%
g 1977
 
19.8%
b 117
 
1.2%
d 74
 
0.7%
e 46
 
0.5%
a 31
 
0.3%
m 27
 
0.3%
r 18
 
0.2%
i 7
 
0.1%

병원분류명
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의원
5190 
치과의원
2512 
한의원
1977 
병원
 
117
요양병원
 
74
Other values (6)
 
130

Length

Max length7
Median length2
Mean length2.738
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row의원
2nd row치과의원
3rd row한의원
4th row치과의원
5th row의원

Common Values

ValueCountFrequency (%)
의원 5190
51.9%
치과의원 2512
25.1%
한의원 1977
 
19.8%
병원 117
 
1.2%
요양병원 74
 
0.7%
한방병원 46
 
0.5%
종합병원 31
 
0.3%
치과병원 27
 
0.3%
보건소 18
 
0.2%
기타 7
 
0.1%

Length

2024-05-11T07:35:33.127515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의원 5190
51.9%
치과의원 2512
25.1%
한의원 1977
 
19.8%
병원 117
 
1.2%
요양병원 74
 
0.7%
한방병원 46
 
0.5%
종합병원 31
 
0.3%
치과병원 27
 
0.3%
보건소 18
 
0.2%
기타 7
 
0.1%

응급의료기관코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
G099
9963 
G006
 
13
G007
 
10
G009
 
8
G001
 
6

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowG099
2nd rowG099
3rd rowG099
4th rowG099
5th rowG099

Common Values

ValueCountFrequency (%)
G099 9963
99.6%
G006 13
 
0.1%
G007 10
 
0.1%
G009 8
 
0.1%
G001 6
 
0.1%

Length

2024-05-11T07:35:33.518217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:35:33.846930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
g099 9963
99.6%
g006 13
 
0.1%
g007 10
 
0.1%
g009 8
 
0.1%
g001 6
 
0.1%

응급의료기관코드명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
응급의료기관 이외
9963 
지역응급의료센터
 
13
지역응급의료기관
 
10
응급의료기관 외의 의료기관(응급의료시설)
 
8
권역응급의료센터
 
6

Length

Max length22
Median length9
Mean length9.0075
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row응급의료기관 이외
2nd row응급의료기관 이외
3rd row응급의료기관 이외
4th row응급의료기관 이외
5th row응급의료기관 이외

Common Values

ValueCountFrequency (%)
응급의료기관 이외 9963
99.6%
지역응급의료센터 13
 
0.1%
지역응급의료기관 10
 
0.1%
응급의료기관 외의 의료기관(응급의료시설) 8
 
0.1%
권역응급의료센터 6
 
0.1%

Length

2024-05-11T07:35:34.230583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:35:34.570379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
응급의료기관 9971
49.9%
이외 9963
49.9%
지역응급의료센터 13
 
0.1%
지역응급의료기관 10
 
0.1%
외의 8
 
< 0.1%
의료기관(응급의료시설 8
 
< 0.1%
권역응급의료센터 6
 
< 0.1%

응급실운영여부(1/2)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
9963 
1
 
37

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 9963
99.6%
1 37
 
0.4%

Length

2024-05-11T07:35:34.914916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:35:35.229037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9963
99.6%
1 37
 
0.4%

비고
Text

Distinct2647
Distinct (%)26.6%
Missing60
Missing (%)0.6%
Memory size156.2 KiB
2024-05-11T07:35:35.825716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length772
Median length239
Mean length23.37334
Min length3

Characters and Unicode

Total characters232331
Distinct characters514
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1634 ?
Unique (%)16.4%

Sample

1st row점심시간:13~14시
2nd row점심시간 13:00~14:00
3rd row점심시간 13:00~14:00
4th row1,3주 토요일은 휴진입니다.
5th row진료시간 5/5(일) 13:00-18:00, 5/6(월) 09:00-15:00
ValueCountFrequency (%)
점심시간 5628
 
14.3%
13:00~14:00 4107
 
10.4%
평일 1359
 
3.4%
휴게시간 1332
 
3.4%
토요일 1040
 
2.6%
휴진 756
 
1.9%
701
 
1.8%
휴무 686
 
1.7%
진료 662
 
1.7%
12:30~14:00 574
 
1.5%
Other values (3282) 22552
57.2%
2024-05-11T07:35:36.843194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30195
 
13.0%
0 29480
 
12.7%
1 17327
 
7.5%
: 15881
 
6.8%
9992
 
4.3%
3 9547
 
4.1%
8428
 
3.6%
4 7841
 
3.4%
7137
 
3.1%
~ 6923
 
3.0%
Other values (504) 89580
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98965
42.6%
Decimal Number 69787
30.0%
Space Separator 30195
 
13.0%
Other Punctuation 21433
 
9.2%
Math Symbol 6942
 
3.0%
Dash Punctuation 1679
 
0.7%
Close Punctuation 1437
 
0.6%
Open Punctuation 1422
 
0.6%
Lowercase Letter 332
 
0.1%
Uppercase Letter 130
 
0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9992
 
10.1%
8428
 
8.5%
7137
 
7.2%
6598
 
6.7%
6593
 
6.7%
4632
 
4.7%
3617
 
3.7%
3208
 
3.2%
2208
 
2.2%
1857
 
1.9%
Other values (423) 44695
45.2%
Lowercase Letter
ValueCountFrequency (%)
a 37
11.1%
r 34
10.2%
y 31
 
9.3%
m 25
 
7.5%
o 24
 
7.2%
x 21
 
6.3%
p 20
 
6.0%
i 20
 
6.0%
n 19
 
5.7%
c 19
 
5.7%
Other values (13) 82
24.7%
Other Punctuation
ValueCountFrequency (%)
: 15881
74.1%
, 2122
 
9.9%
/ 2094
 
9.8%
. 1133
 
5.3%
* 99
 
0.5%
; 31
 
0.1%
23
 
0.1%
? 14
 
0.1%
% 13
 
0.1%
' 6
 
< 0.1%
Other values (7) 17
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
X 51
39.2%
O 37
28.5%
M 11
 
8.5%
P 11
 
8.5%
T 3
 
2.3%
E 3
 
2.3%
L 3
 
2.3%
R 2
 
1.5%
Y 2
 
1.5%
I 2
 
1.5%
Other values (4) 5
 
3.8%
Decimal Number
ValueCountFrequency (%)
0 29480
42.2%
1 17327
24.8%
3 9547
 
13.7%
4 7841
 
11.2%
2 2840
 
4.1%
5 1058
 
1.5%
9 567
 
0.8%
8 466
 
0.7%
6 354
 
0.5%
7 307
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 6923
99.7%
| 14
 
0.2%
= 2
 
< 0.1%
+ 2
 
< 0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1432
99.7%
] 3
 
0.2%
} 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1417
99.6%
[ 3
 
0.2%
{ 2
 
0.1%
Other Symbol
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Space Separator
ValueCountFrequency (%)
30195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1679
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 132904
57.2%
Hangul 98965
42.6%
Latin 462
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9992
 
10.1%
8428
 
8.5%
7137
 
7.2%
6598
 
6.7%
6593
 
6.7%
4632
 
4.7%
3617
 
3.7%
3208
 
3.2%
2208
 
2.2%
1857
 
1.9%
Other values (423) 44695
45.2%
Common
ValueCountFrequency (%)
30195
22.7%
0 29480
22.2%
1 17327
13.0%
: 15881
11.9%
3 9547
 
7.2%
4 7841
 
5.9%
~ 6923
 
5.2%
2 2840
 
2.1%
, 2122
 
1.6%
/ 2094
 
1.6%
Other values (34) 8654
 
6.5%
Latin
ValueCountFrequency (%)
X 51
 
11.0%
a 37
 
8.0%
O 37
 
8.0%
r 34
 
7.4%
y 31
 
6.7%
m 25
 
5.4%
o 24
 
5.2%
x 21
 
4.5%
p 20
 
4.3%
i 20
 
4.3%
Other values (27) 162
35.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 133332
57.4%
Hangul 98949
42.6%
Punctuation 23
 
< 0.1%
Compat Jamo 16
 
< 0.1%
None 5
 
< 0.1%
Misc Symbols 3
 
< 0.1%
Geometric Shapes 2
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30195
22.6%
0 29480
22.1%
1 17327
13.0%
: 15881
11.9%
3 9547
 
7.2%
4 7841
 
5.9%
~ 6923
 
5.2%
2 2840
 
2.1%
, 2122
 
1.6%
/ 2094
 
1.6%
Other values (63) 9082
 
6.8%
Hangul
ValueCountFrequency (%)
9992
 
10.1%
8428
 
8.5%
7137
 
7.2%
6598
 
6.7%
6593
 
6.7%
4632
 
4.7%
3617
 
3.7%
3208
 
3.2%
2208
 
2.2%
1857
 
1.9%
Other values (422) 44679
45.2%
Punctuation
ValueCountFrequency (%)
23
100.0%
Compat Jamo
ValueCountFrequency (%)
16
100.0%
None
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%
Misc Symbols
ValueCountFrequency (%)
2
66.7%
1
33.3%
Arrows
ValueCountFrequency (%)
1
100.0%
Distinct1544
Distinct (%)15.5%
Missing14
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T07:35:37.335436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length300
Median length164
Mean length38.961746
Min length2

Characters and Unicode

Total characters389072
Distinct characters797
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique366 ?
Unique (%)3.7%

Sample

1st row점심시간 13:00~14:20
2nd row수액처치/ 유방초음파/
3rd row통합치의학과 전문의, CT, panorama, potable x-ray, electro-surgery
4th row산부인과, 외과
5th row화요일 야간진료 예약환자만 가능
ValueCountFrequency (%)
1496
 
2.0%
진료 992
 
1.3%
점심시간 886
 
1.2%
있습니다 686
 
0.9%
493
 
0.7%
토요일 464
 
0.6%
피부과 453
 
0.6%
전문 408
 
0.6%
가능 378
 
0.5%
내과 324
 
0.4%
Other values (5740) 67126
91.1%
2024-05-11T07:35:38.270386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65454
 
16.8%
, 11634
 
3.0%
7555
 
1.9%
6542
 
1.7%
6484
 
1.7%
. 5928
 
1.5%
5565
 
1.4%
5539
 
1.4%
/ 5487
 
1.4%
4948
 
1.3%
Other values (787) 263936
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266080
68.4%
Space Separator 65454
 
16.8%
Other Punctuation 26028
 
6.7%
Decimal Number 17081
 
4.4%
Lowercase Letter 5153
 
1.3%
Open Punctuation 1993
 
0.5%
Close Punctuation 1984
 
0.5%
Uppercase Letter 1931
 
0.5%
Math Symbol 1715
 
0.4%
Dash Punctuation 1112
 
0.3%
Other values (5) 541
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7555
 
2.8%
6542
 
2.5%
6484
 
2.4%
5565
 
2.1%
5539
 
2.1%
4948
 
1.9%
4819
 
1.8%
4689
 
1.8%
3827
 
1.4%
3820
 
1.4%
Other values (687) 212292
79.8%
Uppercase Letter
ValueCountFrequency (%)
O 249
12.9%
C 198
 
10.3%
X 179
 
9.3%
T 169
 
8.8%
A 161
 
8.3%
D 135
 
7.0%
I 86
 
4.5%
L 84
 
4.4%
R 75
 
3.9%
H 72
 
3.7%
Other values (16) 523
27.1%
Lowercase Letter
ValueCountFrequency (%)
a 600
 
11.6%
r 469
 
9.1%
e 428
 
8.3%
o 395
 
7.7%
t 357
 
6.9%
c 295
 
5.7%
s 271
 
5.3%
m 252
 
4.9%
y 237
 
4.6%
n 218
 
4.2%
Other values (15) 1631
31.7%
Other Punctuation
ValueCountFrequency (%)
, 11634
44.7%
. 5928
22.8%
/ 5487
21.1%
: 1944
 
7.5%
& 187
 
0.7%
! 181
 
0.7%
' 164
 
0.6%
* 126
 
0.5%
# 119
 
0.5%
; 110
 
0.4%
Other values (5) 148
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 4179
24.5%
0 3561
20.8%
2 2546
14.9%
3 2487
14.6%
4 1373
 
8.0%
5 769
 
4.5%
7 611
 
3.6%
6 529
 
3.1%
9 513
 
3.0%
8 513
 
3.0%
Other Symbol
ValueCountFrequency (%)
73
39.9%
50
27.3%
35
19.1%
12
 
6.6%
6
 
3.3%
5
 
2.7%
2
 
1.1%
Math Symbol
ValueCountFrequency (%)
~ 1512
88.2%
= 122
 
7.1%
> 44
 
2.6%
| 18
 
1.0%
+ 15
 
0.9%
< 4
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1932
96.9%
[ 61
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 1922
96.9%
] 62
 
3.1%
Modifier Symbol
ValueCountFrequency (%)
^ 174
96.7%
` 6
 
3.3%
Space Separator
ValueCountFrequency (%)
65454
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1112
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 170
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Initial Punctuation
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266066
68.4%
Common 115908
29.8%
Latin 7084
 
1.8%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7555
 
2.8%
6542
 
2.5%
6484
 
2.4%
5565
 
2.1%
5539
 
2.1%
4948
 
1.9%
4819
 
1.8%
4689
 
1.8%
3827
 
1.4%
3820
 
1.4%
Other values (682) 212278
79.8%
Latin
ValueCountFrequency (%)
a 600
 
8.5%
r 469
 
6.6%
e 428
 
6.0%
o 395
 
5.6%
t 357
 
5.0%
c 295
 
4.2%
s 271
 
3.8%
m 252
 
3.6%
O 249
 
3.5%
y 237
 
3.3%
Other values (41) 3531
49.8%
Common
ValueCountFrequency (%)
65454
56.5%
, 11634
 
10.0%
. 5928
 
5.1%
/ 5487
 
4.7%
1 4179
 
3.6%
0 3561
 
3.1%
2 2546
 
2.2%
3 2487
 
2.1%
: 1944
 
1.7%
( 1932
 
1.7%
Other values (39) 10756
 
9.3%
Han
ValueCountFrequency (%)
4
28.6%
4
28.6%
2
14.3%
2
14.3%
2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266054
68.4%
ASCII 122754
31.6%
Geometric Shapes 136
 
< 0.1%
Misc Symbols 47
 
< 0.1%
Punctuation 32
 
< 0.1%
None 23
 
< 0.1%
CJK 14
 
< 0.1%
Compat Jamo 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65454
53.3%
, 11634
 
9.5%
. 5928
 
4.8%
/ 5487
 
4.5%
1 4179
 
3.4%
0 3561
 
2.9%
2 2546
 
2.1%
3 2487
 
2.0%
: 1944
 
1.6%
( 1932
 
1.6%
Other values (78) 17602
 
14.3%
Hangul
ValueCountFrequency (%)
7555
 
2.8%
6542
 
2.5%
6484
 
2.4%
5565
 
2.1%
5539
 
2.1%
4948
 
1.9%
4819
 
1.8%
4689
 
1.8%
3827
 
1.4%
3820
 
1.4%
Other values (681) 212266
79.8%
Geometric Shapes
ValueCountFrequency (%)
73
53.7%
50
36.8%
6
 
4.4%
5
 
3.7%
2
 
1.5%
Misc Symbols
ValueCountFrequency (%)
35
74.5%
12
 
25.5%
Punctuation
ValueCountFrequency (%)
24
75.0%
4
 
12.5%
4
 
12.5%
None
ValueCountFrequency (%)
16
69.6%
7
30.4%
Compat Jamo
ValueCountFrequency (%)
12
100.0%
CJK
ValueCountFrequency (%)
4
28.6%
4
28.6%
2
14.3%
2
14.3%
2
14.3%
Distinct5713
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:35:38.863355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length54
Mean length13.9279
Min length2

Characters and Unicode

Total characters139279
Distinct characters662
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3619 ?
Unique (%)36.2%

Sample

1st row삼익세라믹아파트단지 앞
2nd row방학역 근처/
3rd row가좌역 3번 출구 앞 가좌삼거리 성공타워 6층
4th row파크리오A상가
5th row도봉역 1번출구
ValueCountFrequency (%)
출구 2605
 
8.1%
인근 1383
 
4.3%
맞은편 558
 
1.7%
1번 488
 
1.5%
2층 476
 
1.5%
3번출구 465
 
1.4%
4번출구 434
 
1.4%
2번 420
 
1.3%
1번출구 417
 
1.3%
3번 401
 
1.2%
Other values (4956) 24435
76.2%
2024-05-11T07:35:40.130424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22134
 
15.9%
7376
 
5.3%
6881
 
4.9%
6135
 
4.4%
6095
 
4.4%
1 2413
 
1.7%
2 2313
 
1.7%
3 2047
 
1.5%
1967
 
1.4%
1751
 
1.3%
Other values (652) 80167
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 101081
72.6%
Space Separator 22134
 
15.9%
Decimal Number 12771
 
9.2%
Other Punctuation 1893
 
1.4%
Uppercase Letter 755
 
0.5%
Lowercase Letter 189
 
0.1%
Close Punctuation 161
 
0.1%
Open Punctuation 158
 
0.1%
Dash Punctuation 72
 
0.1%
Math Symbol 64
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7376
 
7.3%
6881
 
6.8%
6135
 
6.1%
6095
 
6.0%
1967
 
1.9%
1751
 
1.7%
1633
 
1.6%
1550
 
1.5%
1406
 
1.4%
1365
 
1.4%
Other values (590) 64922
64.2%
Uppercase Letter
ValueCountFrequency (%)
B 114
15.1%
K 109
14.4%
M 84
11.1%
S 70
9.3%
C 63
8.3%
A 49
 
6.5%
G 46
 
6.1%
L 32
 
4.2%
I 31
 
4.1%
E 28
 
3.7%
Other values (12) 129
17.1%
Lowercase Letter
ValueCountFrequency (%)
m 134
70.9%
e 19
 
10.1%
s 9
 
4.8%
b 5
 
2.6%
c 5
 
2.6%
k 4
 
2.1%
t 3
 
1.6%
l 2
 
1.1%
a 2
 
1.1%
g 2
 
1.1%
Other values (4) 4
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 2413
18.9%
2 2313
18.1%
3 2047
16.0%
4 1566
12.3%
5 1197
9.4%
0 1089
8.5%
6 771
 
6.0%
7 619
 
4.8%
8 462
 
3.6%
9 294
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 855
45.2%
, 827
43.7%
. 183
 
9.7%
: 13
 
0.7%
& 6
 
0.3%
? 5
 
0.3%
@ 3
 
0.2%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 53
82.8%
> 8
 
12.5%
= 3
 
4.7%
Space Separator
ValueCountFrequency (%)
22134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 101081
72.6%
Common 37253
 
26.7%
Latin 945
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7376
 
7.3%
6881
 
6.8%
6135
 
6.1%
6095
 
6.0%
1967
 
1.9%
1751
 
1.7%
1633
 
1.6%
1550
 
1.5%
1406
 
1.4%
1365
 
1.4%
Other values (590) 64922
64.2%
Latin
ValueCountFrequency (%)
m 134
14.2%
B 114
12.1%
K 109
11.5%
M 84
 
8.9%
S 70
 
7.4%
C 63
 
6.7%
A 49
 
5.2%
G 46
 
4.9%
L 32
 
3.4%
I 31
 
3.3%
Other values (27) 213
22.5%
Common
ValueCountFrequency (%)
22134
59.4%
1 2413
 
6.5%
2 2313
 
6.2%
3 2047
 
5.5%
4 1566
 
4.2%
5 1197
 
3.2%
0 1089
 
2.9%
/ 855
 
2.3%
, 827
 
2.2%
6 771
 
2.1%
Other values (15) 2041
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 101080
72.6%
ASCII 38196
 
27.4%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22134
57.9%
1 2413
 
6.3%
2 2313
 
6.1%
3 2047
 
5.4%
4 1566
 
4.1%
5 1197
 
3.1%
0 1089
 
2.9%
/ 855
 
2.2%
, 827
 
2.2%
6 771
 
2.0%
Other values (50) 2984
 
7.8%
Hangul
ValueCountFrequency (%)
7376
 
7.3%
6881
 
6.8%
6135
 
6.1%
6095
 
6.0%
1967
 
1.9%
1751
 
1.7%
1633
 
1.6%
1550
 
1.5%
1406
 
1.4%
1365
 
1.4%
Other values (589) 64921
64.2%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
1
100.0%
Distinct8661
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:35:40.961555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length7.6998
Min length3

Characters and Unicode

Total characters76998
Distinct characters762
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7870 ?
Unique (%)78.7%

Sample

1st row삼성더건강내과의원
2nd row이사랑치과의원
3rd row스마트한의원
4th row임명수치과의원
5th row한사랑의원
ValueCountFrequency (%)
경희한의원 12
 
0.1%
유디치과의원 11
 
0.1%
한사랑의원 11
 
0.1%
연세이비인후과의원 11
 
0.1%
연세치과의원 8
 
0.1%
서울미소치과의원 8
 
0.1%
연세정형외과의원 8
 
0.1%
서울삼성내과의원 8
 
0.1%
굿모닝치과의원 8
 
0.1%
서울치과의원 7
 
0.1%
Other values (8675) 9947
99.1%
2024-05-11T07:35:42.398823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10609
 
13.8%
10178
 
13.2%
6511
 
8.5%
2665
 
3.5%
2440
 
3.2%
1507
 
2.0%
1175
 
1.5%
1013
 
1.3%
996
 
1.3%
934
 
1.2%
Other values (752) 38970
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76225
99.0%
Decimal Number 258
 
0.3%
Uppercase Letter 183
 
0.2%
Open Punctuation 103
 
0.1%
Close Punctuation 103
 
0.1%
Lowercase Letter 46
 
0.1%
Space Separator 39
 
0.1%
Other Punctuation 27
 
< 0.1%
Dash Punctuation 12
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10609
 
13.9%
10178
 
13.4%
6511
 
8.5%
2665
 
3.5%
2440
 
3.2%
1507
 
2.0%
1175
 
1.5%
1013
 
1.3%
996
 
1.3%
934
 
1.2%
Other values (694) 38197
50.1%
Uppercase Letter
ValueCountFrequency (%)
S 30
16.4%
K 15
 
8.2%
C 15
 
8.2%
M 12
 
6.6%
W 12
 
6.6%
N 9
 
4.9%
A 8
 
4.4%
E 8
 
4.4%
J 8
 
4.4%
D 8
 
4.4%
Other values (14) 58
31.7%
Lowercase Letter
ValueCountFrequency (%)
e 20
43.5%
r 3
 
6.5%
h 3
 
6.5%
m 3
 
6.5%
p 2
 
4.3%
a 2
 
4.3%
n 2
 
4.3%
c 2
 
4.3%
k 2
 
4.3%
o 2
 
4.3%
Other values (5) 5
 
10.9%
Decimal Number
ValueCountFrequency (%)
5 67
26.0%
3 64
24.8%
6 61
23.6%
1 22
 
8.5%
2 16
 
6.2%
4 9
 
3.5%
8 7
 
2.7%
0 7
 
2.7%
9 3
 
1.2%
7 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
& 10
37.0%
. 10
37.0%
? 7
25.9%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76216
99.0%
Common 544
 
0.7%
Latin 229
 
0.3%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10609
 
13.9%
10178
 
13.4%
6511
 
8.5%
2665
 
3.5%
2440
 
3.2%
1507
 
2.0%
1175
 
1.5%
1013
 
1.3%
996
 
1.3%
934
 
1.2%
Other values (685) 38188
50.1%
Latin
ValueCountFrequency (%)
S 30
 
13.1%
e 20
 
8.7%
K 15
 
6.6%
C 15
 
6.6%
M 12
 
5.2%
W 12
 
5.2%
N 9
 
3.9%
A 8
 
3.5%
E 8
 
3.5%
J 8
 
3.5%
Other values (29) 92
40.2%
Common
ValueCountFrequency (%)
( 103
18.9%
) 103
18.9%
5 67
12.3%
3 64
11.8%
6 61
11.2%
39
 
7.2%
1 22
 
4.0%
2 16
 
2.9%
- 12
 
2.2%
& 10
 
1.8%
Other values (9) 47
8.6%
Han
ValueCountFrequency (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76216
99.0%
ASCII 772
 
1.0%
CJK 9
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10609
 
13.9%
10178
 
13.4%
6511
 
8.5%
2665
 
3.5%
2440
 
3.2%
1507
 
2.0%
1175
 
1.5%
1013
 
1.3%
996
 
1.3%
934
 
1.2%
Other values (685) 38188
50.1%
ASCII
ValueCountFrequency (%)
( 103
13.3%
) 103
13.3%
5 67
 
8.7%
3 64
 
8.3%
6 61
 
7.9%
39
 
5.1%
S 30
 
3.9%
1 22
 
2.8%
e 20
 
2.6%
2 16
 
2.1%
Other values (47) 247
32.0%
None
ValueCountFrequency (%)
´ 1
100.0%
CJK
ValueCountFrequency (%)
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
1
11.1%
Distinct9846
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T07:35:43.549582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.2995
Min length8

Characters and Unicode

Total characters112995
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

Unique9703 ?
Unique (%)97.0%

Sample

1st row02-6953-0815
2nd row02-3493-7533
3rd row02-2088-2014
4th row02-2244-3047
5th row02-363-9114
ValueCountFrequency (%)
1544-0377 4
 
< 0.1%
02-000-0000 3
 
< 0.1%
1588-7833 3
 
< 0.1%
02-754-5100 3
 
< 0.1%
02-3481-2828 3
 
< 0.1%
02-1800-7544 3
 
< 0.1%
02-2294-0000 3
 
< 0.1%
02-2236-1075 3
 
< 0.1%
02-6253-8575 3
 
< 0.1%
1588-4547 3
 
< 0.1%
Other values (9836) 9969
99.7%
2024-05-11T07:35:45.093433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19689
17.4%
2 19527
17.3%
0 17278
15.3%
5 9976
8.8%
7 8357
7.4%
8 7663
 
6.8%
3 7065
 
6.3%
1 6041
 
5.3%
4 5978
 
5.3%
6 5954
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93306
82.6%
Dash Punctuation 19689
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 19527
20.9%
0 17278
18.5%
5 9976
10.7%
7 8357
9.0%
8 7663
 
8.2%
3 7065
 
7.6%
1 6041
 
6.5%
4 5978
 
6.4%
6 5954
 
6.4%
9 5467
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 19689
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112995
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19689
17.4%
2 19527
17.3%
0 17278
15.3%
5 9976
8.8%
7 8357
7.4%
8 7663
 
6.8%
3 7065
 
6.3%
1 6041
 
5.3%
4 5978
 
5.3%
6 5954
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19689
17.4%
2 19527
17.3%
0 17278
15.3%
5 9976
8.8%
7 8357
7.4%
8 7663
 
6.8%
3 7065
 
6.3%
1 6041
 
5.3%
4 5978
 
5.3%
6 5954
 
5.3%

응급실전화
Text

MISSING 

Distinct78
Distinct (%)0.8%
Missing153
Missing (%)1.5%
Memory size156.2 KiB
2024-05-11T07:35:45.940105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.658576
Min length9

Characters and Unicode

Total characters114802
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

Unique10 ?
Unique (%)0.1%

Sample

1st row02-880-0119
2nd row02-901-3119
3rd row02-709-9117
4th row02-950-1119
5th row02-2639-5555
ValueCountFrequency (%)
02-829-9129 927
 
9.4%
02-3468-3060 865
 
8.8%
02-2227-7777 836
 
8.5%
02-2260-7414 606
 
6.2%
070-4698-7811 584
 
5.9%
02-2007-1118 584
 
5.9%
02-3010-3333 400
 
4.1%
02-2660-7057 395
 
4.0%
02-901-3119 373
 
3.8%
02-829-7800 296
 
3.0%
Other values (68) 3981
40.4%
2024-05-11T07:35:47.366490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20645
18.0%
2 20264
17.7%
- 19608
17.1%
1 11101
9.7%
7 10076
8.8%
9 7823
 
6.8%
6 6351
 
5.5%
8 6337
 
5.5%
3 5946
 
5.2%
4 4228
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95194
82.9%
Dash Punctuation 19608
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20645
21.7%
2 20264
21.3%
1 11101
11.7%
7 10076
10.6%
9 7823
 
8.2%
6 6351
 
6.7%
8 6337
 
6.7%
3 5946
 
6.2%
4 4228
 
4.4%
5 2423
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 19608
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114802
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20645
18.0%
2 20264
17.7%
- 19608
17.1%
1 11101
9.7%
7 10076
8.8%
9 7823
 
6.8%
6 6351
 
5.5%
8 6337
 
5.5%
3 5946
 
5.2%
4 4228
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114802
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20645
18.0%
2 20264
17.7%
- 19608
17.1%
1 11101
9.7%
7 10076
8.8%
9 7823
 
6.8%
6 6351
 
5.5%
8 6337
 
5.5%
3 5946
 
5.2%
4 4228
 
3.7%

진료시간(월요일)C
Real number (ℝ)

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1859.4011
Minimum1
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:47.921886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1730
Q11800
median1830
Q31900
95-th percentile2030
Maximum2400
Range2399
Interquartile range (IQR)100

Descriptive statistics

Standard deviation100.30651
Coefficient of variation (CV)0.0539456
Kurtosis15.355861
Mean1859.4011
Median Absolute Deviation (MAD)30
Skewness-0.13022281
Sum18594011
Variance10061.396
MonotonicityNot monotonic
2024-05-11T07:35:48.519707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1800 3004
30.0%
1900 2276
22.8%
1830 2242
22.4%
2000 733
 
7.3%
2100 427
 
4.3%
1730 336
 
3.4%
1700 300
 
3.0%
2030 266
 
2.7%
1930 179
 
1.8%
1600 51
 
0.5%
Other values (40) 186
 
1.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
1000 1
 
< 0.1%
1100 1
 
< 0.1%
1130 1
 
< 0.1%
1200 3
 
< 0.1%
1300 4
< 0.1%
1400 3
 
< 0.1%
1430 1
 
< 0.1%
1500 8
0.1%
1530 2
 
< 0.1%
ValueCountFrequency (%)
2400 12
 
0.1%
2350 1
 
< 0.1%
2300 5
 
0.1%
2230 2
 
< 0.1%
2200 18
 
0.2%
2130 6
 
0.1%
2100 427
4.3%
2045 1
 
< 0.1%
2030 266
2.7%
2020 2
 
< 0.1%

진료시간(화요일)C
Real number (ℝ)

Distinct52
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1862.832
Minimum1000
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:49.077189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1730
Q11800
median1830
Q31900
95-th percentile2100
Maximum2400
Range1400
Interquartile range (IQR)100

Descriptive statistics

Standard deviation108.76579
Coefficient of variation (CV)0.058387333
Kurtosis4.8857262
Mean1862.832
Median Absolute Deviation (MAD)30
Skewness-0.11359588
Sum18628320
Variance11829.998
MonotonicityNot monotonic
2024-05-11T07:35:49.533668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1800 2943
29.4%
1900 2193
21.9%
1830 2079
20.8%
2000 815
 
8.2%
2100 527
 
5.3%
2030 346
 
3.5%
1730 331
 
3.3%
1700 301
 
3.0%
1930 188
 
1.9%
1600 49
 
0.5%
Other values (42) 228
 
2.3%
ValueCountFrequency (%)
1000 1
 
< 0.1%
1100 1
 
< 0.1%
1130 1
 
< 0.1%
1200 9
0.1%
1230 4
 
< 0.1%
1300 22
0.2%
1330 2
 
< 0.1%
1400 12
0.1%
1430 1
 
< 0.1%
1500 8
 
0.1%
ValueCountFrequency (%)
2400 10
 
0.1%
2350 1
 
< 0.1%
2300 5
 
0.1%
2230 2
 
< 0.1%
2200 19
 
0.2%
2130 5
 
0.1%
2100 527
5.3%
2050 1
 
< 0.1%
2040 1
 
< 0.1%
2030 346
3.5%

진료시간(수요일)C
Real number (ℝ)

Distinct52
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1837.467
Minimum1000
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:49.974831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1600
Q11800
median1830
Q31900
95-th percentile2030
Maximum2400
Range1400
Interquartile range (IQR)100

Descriptive statistics

Standard deviation151.53722
Coefficient of variation (CV)0.082470719
Kurtosis5.3567823
Mean1837.467
Median Absolute Deviation (MAD)70
Skewness-1.6130364
Sum18374670
Variance22963.53
MonotonicityNot monotonic
2024-05-11T07:35:50.545003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1800 2777
27.8%
1900 2253
22.5%
1830 2005
20.1%
2000 717
 
7.2%
2100 436
 
4.4%
1730 321
 
3.2%
1300 311
 
3.1%
2030 304
 
3.0%
1700 299
 
3.0%
1930 191
 
1.9%
Other values (42) 386
 
3.9%
ValueCountFrequency (%)
1000 1
 
< 0.1%
1100 2
 
< 0.1%
1130 3
 
< 0.1%
1200 13
 
0.1%
1220 1
 
< 0.1%
1230 33
 
0.3%
1250 1
 
< 0.1%
1300 311
3.1%
1330 23
 
0.2%
1400 61
 
0.6%
ValueCountFrequency (%)
2400 10
 
0.1%
2350 1
 
< 0.1%
2300 5
 
0.1%
2230 2
 
< 0.1%
2200 20
 
0.2%
2130 7
 
0.1%
2100 436
4.4%
2030 304
3.0%
2020 2
 
< 0.1%
2010 2
 
< 0.1%

진료시간(목요일)C
Real number (ℝ)

Distinct53
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1849.312
Minimum1000
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:51.146570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1700
Q11800
median1830
Q31900
95-th percentile2100
Maximum2400
Range1400
Interquartile range (IQR)100

Descriptive statistics

Standard deviation147.68599
Coefficient of variation (CV)0.079859966
Kurtosis5.7452209
Mean1849.312
Median Absolute Deviation (MAD)70
Skewness-1.5043654
Sum18493120
Variance21811.153
MonotonicityNot monotonic
2024-05-11T07:35:51.733164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1800 2713
27.1%
1900 2100
21.0%
1830 1986
19.9%
2000 874
 
8.7%
2100 579
 
5.8%
2030 347
 
3.5%
1730 329
 
3.3%
1700 280
 
2.8%
1300 216
 
2.2%
1930 197
 
2.0%
Other values (43) 379
 
3.8%
ValueCountFrequency (%)
1000 3
 
< 0.1%
1100 4
 
< 0.1%
1130 2
 
< 0.1%
1200 23
 
0.2%
1230 36
 
0.4%
1240 1
 
< 0.1%
1245 1
 
< 0.1%
1300 216
2.2%
1330 17
 
0.2%
1400 52
 
0.5%
ValueCountFrequency (%)
2400 10
 
0.1%
2350 1
 
< 0.1%
2300 5
 
0.1%
2230 2
 
< 0.1%
2200 21
 
0.2%
2130 5
 
0.1%
2100 579
5.8%
2050 1
 
< 0.1%
2045 1
 
< 0.1%
2040 1
 
< 0.1%

진료시간(금요일)C
Real number (ℝ)

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1854.9725
Minimum1000
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:52.288678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1730
Q11800
median1830
Q31900
95-th percentile2030
Maximum2400
Range1400
Interquartile range (IQR)100

Descriptive statistics

Standard deviation101.37842
Coefficient of variation (CV)0.054652251
Kurtosis5.5527844
Mean1854.9725
Median Absolute Deviation (MAD)30
Skewness0.038521997
Sum18549725
Variance10277.585
MonotonicityNot monotonic
2024-05-11T07:35:52.791626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1800 3038
30.4%
1830 2284
22.8%
1900 2284
22.8%
2000 698
 
7.0%
2100 404
 
4.0%
1730 334
 
3.3%
1700 314
 
3.1%
2030 210
 
2.1%
1930 160
 
1.6%
1600 53
 
0.5%
Other values (39) 221
 
2.2%
ValueCountFrequency (%)
1000 1
 
< 0.1%
1130 1
 
< 0.1%
1200 4
 
< 0.1%
1230 2
 
< 0.1%
1300 25
0.2%
1330 2
 
< 0.1%
1400 9
 
0.1%
1430 1
 
< 0.1%
1500 8
 
0.1%
1530 2
 
< 0.1%
ValueCountFrequency (%)
2400 10
 
0.1%
2350 1
 
< 0.1%
2300 5
 
0.1%
2230 2
 
< 0.1%
2200 19
 
0.2%
2130 6
 
0.1%
2100 404
4.0%
2030 210
2.1%
2020 2
 
< 0.1%
2010 1
 
< 0.1%

진료시간(토요일)C
Real number (ℝ)

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1419.1283
Minimum1010
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:53.293318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1010
5-th percentile1230
Q11300
median1400
Q31500
95-th percentile1700
Maximum2400
Range1390
Interquartile range (IQR)200

Descriptive statistics

Standard deviation142.77994
Coefficient of variation (CV)0.10061102
Kurtosis4.5057298
Mean1419.1283
Median Absolute Deviation (MAD)100
Skewness1.4584764
Sum14191283
Variance20386.113
MonotonicityNot monotonic
2024-05-11T07:35:53.858723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1400 2966
29.7%
1300 2735
27.4%
1500 1125
 
11.2%
1600 987
 
9.9%
1330 490
 
4.9%
1700 471
 
4.7%
1230 260
 
2.6%
1200 240
 
2.4%
1430 218
 
2.2%
1530 143
 
1.4%
Other values (37) 365
 
3.6%
ValueCountFrequency (%)
1010 1
 
< 0.1%
1100 10
 
0.1%
1130 9
 
0.1%
1200 240
 
2.4%
1220 3
 
< 0.1%
1230 260
 
2.6%
1240 2
 
< 0.1%
1245 2
 
< 0.1%
1250 8
 
0.1%
1300 2735
27.4%
ValueCountFrequency (%)
2400 12
0.1%
2355 1
 
< 0.1%
2350 1
 
< 0.1%
2300 2
 
< 0.1%
2230 2
 
< 0.1%
2200 8
 
0.1%
2100 11
0.1%
2030 2
 
< 0.1%
2000 9
 
0.1%
1900 27
0.3%

진료시간(일요일)C
Real number (ℝ)

Distinct32
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1534.6483
Minimum1000
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:54.380352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1300
Q11400
median1500
Q31700
95-th percentile1900
Maximum2400
Range1400
Interquartile range (IQR)300

Descriptive statistics

Standard deviation233.41787
Coefficient of variation (CV)0.15209861
Kurtosis2.093955
Mean1534.6483
Median Absolute Deviation (MAD)200
Skewness1.2091485
Sum15343414
Variance54483.903
MonotonicityNot monotonic
2024-05-11T07:35:54.830481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1400 1984
19.8%
1300 1774
17.7%
1700 1586
15.9%
1500 1412
14.1%
1600 937
9.4%
1800 663
 
6.6%
1200 251
 
2.5%
1900 211
 
2.1%
2400 152
 
1.5%
1330 148
 
1.5%
Other values (22) 880
8.8%
ValueCountFrequency (%)
1000 13
 
0.1%
1100 14
 
0.1%
1130 13
 
0.1%
1200 251
 
2.5%
1230 97
 
1.0%
1250 32
 
0.3%
1300 1774
17.7%
1330 148
 
1.5%
1400 1984
19.8%
1430 144
 
1.4%
ValueCountFrequency (%)
2400 152
1.5%
2359 16
 
0.2%
2350 1
 
< 0.1%
2300 5
 
0.1%
2230 4
 
< 0.1%
2200 102
1.0%
2100 93
0.9%
2030 60
 
0.6%
2000 30
 
0.3%
1900 211
2.1%

진료시간(공휴일)C
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean1510.0876
Minimum1000
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:55.437476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1300
Q11300
median1500
Q31600
95-th percentile1830
Maximum2400
Range1400
Interquartile range (IQR)300

Descriptive statistics

Standard deviation225.41563
Coefficient of variation (CV)0.14927322
Kurtosis2.8576456
Mean1510.0876
Median Absolute Deviation (MAD)200
Skewness1.3466489
Sum15084265
Variance50812.208
MonotonicityNot monotonic
2024-05-11T07:35:56.026305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1300 2592
25.9%
1500 1603
16.0%
1400 1447
14.5%
1600 1204
12.0%
1700 1146
11.5%
1800 626
 
6.3%
1200 210
 
2.1%
1530 165
 
1.7%
2400 160
 
1.6%
1230 153
 
1.5%
Other values (21) 683
 
6.8%
ValueCountFrequency (%)
1000 9
 
0.1%
1100 32
 
0.3%
1130 7
 
0.1%
1200 210
 
2.1%
1230 153
 
1.5%
1240 1
 
< 0.1%
1250 10
 
0.1%
1300 2592
25.9%
1330 17
 
0.2%
1400 1447
14.5%
ValueCountFrequency (%)
2400 160
1.6%
2359 15
 
0.1%
2350 1
 
< 0.1%
2300 6
 
0.1%
2230 2
 
< 0.1%
2200 29
 
0.3%
2150 1
 
< 0.1%
2100 82
0.8%
2000 50
 
0.5%
1900 151
1.5%

진료시간(월요일)S
Real number (ℝ)

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.061
Minimum0
Maximum2100
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:56.546413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile830
Q1900
median930
Q31000
95-th percentile1000
Maximum2100
Range2100
Interquartile range (IQR)100

Descriptive statistics

Standard deviation74.709855
Coefficient of variation (CV)0.079388961
Kurtosis37.952356
Mean941.061
Median Absolute Deviation (MAD)30
Skewness0.56603097
Sum9410610
Variance5581.5624
MonotonicityNot monotonic
2024-05-11T07:35:57.070953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
900 3243
32.4%
930 2812
28.1%
1000 2795
28.0%
830 370
 
3.7%
1030 241
 
2.4%
800 162
 
1.6%
1100 139
 
1.4%
1400 35
 
0.4%
940 26
 
0.3%
1300 26
 
0.3%
Other values (31) 151
 
1.5%
ValueCountFrequency (%)
0 8
 
0.1%
600 1
 
< 0.1%
700 19
 
0.2%
730 18
 
0.2%
740 1
 
< 0.1%
800 162
1.6%
810 2
 
< 0.1%
820 1
 
< 0.1%
830 370
3.7%
840 8
 
0.1%
ValueCountFrequency (%)
2100 1
 
< 0.1%
1830 1
 
< 0.1%
1800 2
 
< 0.1%
1600 1
 
< 0.1%
1500 1
 
< 0.1%
1430 2
 
< 0.1%
1400 35
0.4%
1330 4
 
< 0.1%
1300 26
0.3%
1230 1
 
< 0.1%

진료시간(화요일)S
Real number (ℝ)

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean943.9793
Minimum0
Maximum2100
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:57.704562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile830
Q1900
median930
Q31000
95-th percentile1030
Maximum2100
Range2100
Interquartile range (IQR)100

Descriptive statistics

Standard deviation81.313703
Coefficient of variation (CV)0.086139286
Kurtosis28.263289
Mean943.9793
Median Absolute Deviation (MAD)30
Skewness1.9904332
Sum9439793
Variance6611.9183
MonotonicityNot monotonic
2024-05-11T07:35:58.363011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
900 3238
32.4%
930 2795
28.0%
1000 2760
27.6%
830 372
 
3.7%
1030 238
 
2.4%
800 162
 
1.6%
1100 141
 
1.4%
1400 78
 
0.8%
1300 29
 
0.3%
940 26
 
0.3%
Other values (32) 161
 
1.6%
ValueCountFrequency (%)
0 5
 
0.1%
600 1
 
< 0.1%
700 19
 
0.2%
730 18
 
0.2%
740 1
 
< 0.1%
800 162
1.6%
810 2
 
< 0.1%
820 1
 
< 0.1%
830 372
3.7%
840 8
 
0.1%
ValueCountFrequency (%)
2100 1
 
< 0.1%
1900 1
 
< 0.1%
1830 1
 
< 0.1%
1800 2
 
< 0.1%
1600 1
 
< 0.1%
1500 3
 
< 0.1%
1430 7
 
0.1%
1400 78
0.8%
1330 7
 
0.1%
1300 29
 
0.3%

진료시간(수요일)S
Real number (ℝ)

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean948.9487
Minimum0
Maximum2100
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:35:58.972598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile830
Q1900
median930
Q31000
95-th percentile1030
Maximum2100
Range2100
Interquartile range (IQR)100

Descriptive statistics

Standard deviation97.96178
Coefficient of variation (CV)0.1032319
Kurtosis18.920659
Mean948.9487
Median Absolute Deviation (MAD)30
Skewness2.5043703
Sum9489487
Variance9596.5103
MonotonicityNot monotonic
2024-05-11T07:35:59.505753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
900 3277
32.8%
930 2763
27.6%
1000 2610
26.1%
830 387
 
3.9%
1030 234
 
2.3%
1400 203
 
2.0%
800 170
 
1.7%
1100 121
 
1.2%
1300 35
 
0.4%
940 28
 
0.3%
Other values (32) 172
 
1.7%
ValueCountFrequency (%)
0 5
 
0.1%
600 1
 
< 0.1%
700 20
 
0.2%
730 18
 
0.2%
740 1
 
< 0.1%
800 170
1.7%
810 2
 
< 0.1%
820 1
 
< 0.1%
830 387
3.9%
840 7
 
0.1%
ValueCountFrequency (%)
2100 1
 
< 0.1%
2000 1
 
< 0.1%
1830 1
 
< 0.1%
1800 2
 
< 0.1%
1600 1
 
< 0.1%
1500 12
 
0.1%
1430 11
 
0.1%
1400 203
2.0%
1330 8
 
0.1%
1300 35
 
0.4%

진료시간(목요일)S
Real number (ℝ)

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean957.8674
Minimum0
Maximum2100
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:36:00.102074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile830
Q1900
median930
Q31000
95-th percentile1200
Maximum2100
Range2100
Interquartile range (IQR)100

Descriptive statistics

Standard deviation117.12214
Coefficient of variation (CV)0.12227385
Kurtosis11.721034
Mean957.8674
Median Absolute Deviation (MAD)30
Skewness2.4454346
Sum9578674
Variance13717.595
MonotonicityNot monotonic
2024-05-11T07:36:00.833837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
900 3301
33.0%
930 2611
26.1%
1000 2561
25.6%
830 392
 
3.9%
1400 369
 
3.7%
1030 213
 
2.1%
800 165
 
1.7%
1100 115
 
1.1%
1300 39
 
0.4%
1430 29
 
0.3%
Other values (35) 205
 
2.1%
ValueCountFrequency (%)
0 5
 
0.1%
600 1
 
< 0.1%
639 1
 
< 0.1%
700 21
 
0.2%
730 16
 
0.2%
740 1
 
< 0.1%
800 165
1.7%
810 3
 
< 0.1%
820 1
 
< 0.1%
830 392
3.9%
ValueCountFrequency (%)
2100 1
 
< 0.1%
1900 1
 
< 0.1%
1830 1
 
< 0.1%
1800 3
 
< 0.1%
1600 3
 
< 0.1%
1530 2
 
< 0.1%
1500 14
 
0.1%
1430 29
 
0.3%
1410 1
 
< 0.1%
1400 369
3.7%

진료시간(금요일)S
Real number (ℝ)

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.27
Minimum0
Maximum2100
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:36:01.548932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile830
Q1900
median930
Q31000
95-th percentile1000
Maximum2100
Range2100
Interquartile range (IQR)100

Descriptive statistics

Standard deviation72.748342
Coefficient of variation (CV)0.077287433
Kurtosis33.710768
Mean941.27
Median Absolute Deviation (MAD)30
Skewness1.1956773
Sum9412700
Variance5292.3213
MonotonicityNot monotonic
2024-05-11T07:36:02.312488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
900 3250
32.5%
930 2812
28.1%
1000 2785
27.9%
830 369
 
3.7%
1030 242
 
2.4%
800 165
 
1.7%
1100 142
 
1.4%
1400 31
 
0.3%
940 28
 
0.3%
1300 28
 
0.3%
Other values (31) 148
 
1.5%
ValueCountFrequency (%)
0 5
 
0.1%
600 1
 
< 0.1%
700 19
 
0.2%
730 18
 
0.2%
740 1
 
< 0.1%
800 165
1.7%
810 2
 
< 0.1%
820 1
 
< 0.1%
830 369
3.7%
840 8
 
0.1%
ValueCountFrequency (%)
2100 1
 
< 0.1%
1830 1
 
< 0.1%
1800 2
 
< 0.1%
1600 1
 
< 0.1%
1500 2
 
< 0.1%
1400 31
0.3%
1330 5
 
0.1%
1300 28
0.3%
1230 2
 
< 0.1%
1200 21
0.2%

진료시간(토요일)S
Real number (ℝ)

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean932.5379
Minimum0
Maximum2100
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:36:03.174213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile830
Q1900
median930
Q31000
95-th percentile1000
Maximum2100
Range2100
Interquartile range (IQR)100

Descriptive statistics

Standard deviation62.193408
Coefficient of variation (CV)0.066692633
Kurtosis50.416355
Mean932.5379
Median Absolute Deviation (MAD)30
Skewness-0.81846584
Sum9325379
Variance3868.02
MonotonicityNot monotonic
2024-05-11T07:36:03.684194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
900 3670
36.7%
930 2876
28.8%
1000 2548
25.5%
830 374
 
3.7%
800 179
 
1.8%
1030 142
 
1.4%
1100 60
 
0.6%
940 24
 
0.2%
700 18
 
0.2%
730 16
 
0.2%
Other values (25) 93
 
0.9%
ValueCountFrequency (%)
0 6
 
0.1%
300 1
 
< 0.1%
330 1
 
< 0.1%
700 18
 
0.2%
730 16
 
0.2%
800 179
1.8%
809 1
 
< 0.1%
810 3
 
< 0.1%
820 1
 
< 0.1%
830 374
3.7%
ValueCountFrequency (%)
2100 1
 
< 0.1%
1600 1
 
< 0.1%
1500 5
 
0.1%
1400 4
 
< 0.1%
1300 4
 
< 0.1%
1200 4
 
< 0.1%
1130 1
 
< 0.1%
1110 1
 
< 0.1%
1100 60
0.6%
1040 1
 
< 0.1%

진료시간(일요일)S
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean936.66433
Minimum0
Maximum1630
Zeros147
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:36:04.090969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile800
Q1900
median900
Q31000
95-th percentile1100
Maximum1630
Range1630
Interquartile range (IQR)100

Descriptive statistics

Standard deviation153.1387
Coefficient of variation (CV)0.16349368
Kurtosis20.073346
Mean936.66433
Median Absolute Deviation (MAD)30
Skewness-2.5665499
Sum9364770
Variance23451.461
MonotonicityNot monotonic
2024-05-11T07:36:04.693680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
900 4089
40.9%
1000 2542
25.4%
930 1372
 
13.7%
800 441
 
4.4%
1100 348
 
3.5%
830 297
 
3.0%
1030 188
 
1.9%
1200 166
 
1.7%
0 147
 
1.5%
1400 131
 
1.3%
Other values (17) 277
 
2.8%
ValueCountFrequency (%)
0 147
 
1.5%
600 1
 
< 0.1%
700 6
 
0.1%
730 9
 
0.1%
800 441
 
4.4%
810 9
 
0.1%
820 22
 
0.2%
830 297
 
3.0%
840 26
 
0.3%
900 4089
40.9%
ValueCountFrequency (%)
1630 5
 
0.1%
1600 6
 
0.1%
1530 6
 
0.1%
1500 12
 
0.1%
1400 131
 
1.3%
1300 113
 
1.1%
1200 166
1.7%
1130 3
 
< 0.1%
1100 348
3.5%
1030 188
1.9%

진료시간(공휴일)S
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)0.2%
Missing11
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean919.30974
Minimum0
Maximum1600
Zeros152
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:36:05.092702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile800
Q1900
median900
Q31000
95-th percentile1000
Maximum1600
Range1600
Interquartile range (IQR)100

Descriptive statistics

Standard deviation133.86946
Coefficient of variation (CV)0.14561954
Kurtosis31.814854
Mean919.30974
Median Absolute Deviation (MAD)30
Skewness-4.6446403
Sum9182985
Variance17921.032
MonotonicityNot monotonic
2024-05-11T07:36:05.674895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
900 4382
43.8%
1000 2535
25.4%
930 1642
 
16.4%
800 374
 
3.7%
830 356
 
3.6%
1100 185
 
1.8%
1030 167
 
1.7%
0 152
 
1.5%
1200 66
 
0.7%
700 24
 
0.2%
Other values (14) 106
 
1.1%
ValueCountFrequency (%)
0 152
 
1.5%
600 7
 
0.1%
700 24
 
0.2%
800 374
 
3.7%
810 9
 
0.1%
820 22
 
0.2%
830 356
 
3.6%
900 4382
43.8%
915 14
 
0.1%
920 1
 
< 0.1%
ValueCountFrequency (%)
1600 1
 
< 0.1%
1500 5
 
0.1%
1400 19
 
0.2%
1330 3
 
< 0.1%
1300 9
 
0.1%
1200 66
 
0.7%
1130 3
 
< 0.1%
1100 185
1.8%
1040 1
 
< 0.1%
1030 167
1.7%

우편번호1
Real number (ℝ)

Distinct80
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.3938
Minimum10
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:36:06.300037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q137
median57
Q367.25
95-th percentile85
Maximum157
Range147
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation21.310038
Coefficient of variation (CV)0.39911073
Kurtosis-0.18817231
Mean53.3938
Median Absolute Deviation (MAD)15
Skewness-0.13011559
Sum533938
Variance454.11773
MonotonicityNot monotonic
2024-05-11T07:36:06.756029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 721
 
7.2%
61 415
 
4.2%
66 369
 
3.7%
62 314
 
3.1%
87 287
 
2.9%
65 279
 
2.8%
45 261
 
2.6%
55 240
 
2.4%
47 236
 
2.4%
31 221
 
2.2%
Other values (70) 6657
66.6%
ValueCountFrequency (%)
10 87
0.9%
11 94
0.9%
12 48
 
0.5%
13 87
0.9%
14 91
0.9%
16 161
1.6%
17 144
1.4%
18 95
0.9%
19 14
 
0.1%
20 110
1.1%
ValueCountFrequency (%)
157 2
 
< 0.1%
151 1
 
< 0.1%
150 1
 
< 0.1%
143 7
0.1%
138 4
 
< 0.1%
136 9
0.1%
135 1
 
< 0.1%
133 1
 
< 0.1%
132 1
 
< 0.1%
110 11
0.1%

우편번호2
Real number (ℝ)

Distinct127
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.6262
Minimum0
Maximum900
Zeros61
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:36:07.250918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q120
median41
Q368
95-th percentile94
Maximum900
Range900
Interquartile range (IQR)48

Descriptive statistics

Standard deviation47.043465
Coefficient of variation (CV)1.0089491
Kurtosis171.56471
Mean46.6262
Median Absolute Deviation (MAD)23
Skewness10.458608
Sum466262
Variance2213.0876
MonotonicityNot monotonic
2024-05-11T07:36:07.775342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 184
 
1.8%
14 173
 
1.7%
6 172
 
1.7%
20 171
 
1.7%
29 168
 
1.7%
4 165
 
1.7%
35 161
 
1.6%
68 154
 
1.5%
12 149
 
1.5%
15 145
 
1.5%
Other values (117) 8358
83.6%
ValueCountFrequency (%)
0 61
 
0.6%
1 115
1.1%
2 86
0.9%
3 93
0.9%
4 165
1.7%
5 125
1.2%
6 172
1.7%
7 102
1.0%
8 109
1.1%
9 83
0.8%
ValueCountFrequency (%)
900 1
 
< 0.1%
888 1
 
< 0.1%
872 1
 
< 0.1%
871 1
 
< 0.1%
861 1
 
< 0.1%
853 2
< 0.1%
851 1
 
< 0.1%
836 1
 
< 0.1%
835 3
< 0.1%
831 1
 
< 0.1%

병원경도
Real number (ℝ)

SKEWED 

Distinct8006
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98846
Minimum8.4509111
Maximum127.17624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:36:08.313908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4509111
5-th percentile126.85081
Q1126.9295
median127.02172
Q3127.05821
95-th percentile127.12786
Maximum127.17624
Range118.72533
Interquartile range (IQR)0.12870776

Descriptive statistics

Standard deviation1.1883797
Coefficient of variation (CV)0.0093581714
Kurtosis9903.1924
Mean126.98846
Median Absolute Deviation (MAD)0.057741041
Skewness-99.273234
Sum1269884.6
Variance1.4122464
MonotonicityNot monotonic
2024-05-11T07:36:08.843616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.02408246322 11
 
0.1%
127.01979818833 11
 
0.1%
127.102531804188 10
 
0.1%
127.024789737061 10
 
0.1%
127.087041904838 9
 
0.1%
127.025366637091 9
 
0.1%
127.019161294387 9
 
0.1%
126.912313925866 8
 
0.1%
127.101802779596 8
 
0.1%
127.027758806248 8
 
0.1%
Other values (7996) 9907
99.1%
ValueCountFrequency (%)
8.450911111111111 1
< 0.1%
126.7963653099318 1
< 0.1%
126.7997094018 1
< 0.1%
126.80694814656891 1
< 0.1%
126.80696891616292 1
< 0.1%
126.807336762447 1
< 0.1%
126.8076916239 1
< 0.1%
126.80876111111112 1
< 0.1%
126.80923333333332 1
< 0.1%
126.809604504602 1
< 0.1%
ValueCountFrequency (%)
127.176236567245 3
< 0.1%
127.175933655982 1
 
< 0.1%
127.175614430713 1
 
< 0.1%
127.174785524346 1
 
< 0.1%
127.174603355856 5
0.1%
127.1746033544 1
 
< 0.1%
127.1746033543855 1
 
< 0.1%
127.174497989376 2
 
< 0.1%
127.174353860744 1
 
< 0.1%
127.17432127221429 1
 
< 0.1%

병원위도
Real number (ℝ)

SKEWED 

Distinct8029
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.539023
Minimum17.662356
Maximum37.68711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T07:36:09.285176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17.662356
5-th percentile37.48079
Q137.502389
median37.531114
Q337.56995
95-th percentile37.639431
Maximum37.68711
Range20.024754
Interquartile range (IQR)0.067561341

Descriptive statistics

Standard deviation0.20462783
Coefficient of variation (CV)0.0054510698
Kurtosis8905.8142
Mean37.539023
Median Absolute Deviation (MAD)0.032404582
Skewness-91.667239
Sum375390.23
Variance0.041872549
MonotonicityNot monotonic
2024-05-11T07:36:09.779542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5168560197204 11
 
0.1%
37.566590498762 11
 
0.1%
37.4976145695004 10
 
0.1%
37.5049095607089 10
 
0.1%
37.5157514042207 9
 
0.1%
37.5015434614787 9
 
0.1%
37.5119804600106 9
 
0.1%
37.5708392186912 8
 
0.1%
37.5178827571707 8
 
0.1%
37.5239684663137 8
 
0.1%
Other values (8019) 9907
99.1%
ValueCountFrequency (%)
17.662355555555557 1
< 0.1%
37.4421113742 1
< 0.1%
37.4422755469622 1
< 0.1%
37.4433450248281 1
< 0.1%
37.4439993123481 1
< 0.1%
37.4442561327 1
< 0.1%
37.445606806 1
< 0.1%
37.4473249504426 1
< 0.1%
37.4482583991528 1
< 0.1%
37.44838577911403 1
< 0.1%
ValueCountFrequency (%)
37.6871097060198 1
< 0.1%
37.68551803619 1
< 0.1%
37.68434454492871 1
< 0.1%
37.6841970341807 1
< 0.1%
37.684115099639016 1
< 0.1%
37.68403386667791 1
< 0.1%
37.6837686884789 1
< 0.1%
37.6824333823664 1
< 0.1%
37.681243203433 1
< 0.1%
37.6803991475084 1
< 0.1%
Distinct679
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-12-07 14:53:14
Maximum2024-05-07 15:10:29
2024-05-11T07:36:10.246488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:36:10.745876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

기관ID주소병원분류병원분류명응급의료기관코드응급의료기관코드명응급실운영여부(1/2)비고기관설명상세간이약도기관명대표전화1응급실전화진료시간(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
8665A1124199서울특별시 강남구 선릉로 34, 4층 (개포동)C의원G099응급의료기관 이외2점심시간:13~14시점심시간 13:00~14:20삼익세라믹아파트단지 앞삼성더건강내과의원02-6953-081502-880-01191800180018001800180013001400170083083083083083083093010306325127.06075437.4828272024-05-07 15:10:10.0
15963A1108549서울특별시 도봉구 도봉로180나길 41, 409호,410호 (도봉동, 도봉한신아파트상가)N치과의원G099응급의료기관 이외2점심시간 13:00~14:00수액처치/ 유방초음파/방학역 근처/이사랑치과의원02-3493-753302-901-311918301830183018301830133014001700930930930930930930100010001318127.04989637.6843452024-05-07 15:10:22.0
11561B1105940서울특별시 서대문구 수색로 56, 성공타워1 1층 129, 130호 (북가좌동)G한의원G099응급의료기관 이외2점심시간 13:00~14:00통합치의학과 전문의, CT, panorama, potable x-ray, electro-surgery가좌역 3번 출구 앞 가좌삼거리 성공타워 6층스마트한의원02-2088-201402-709-911719301930193019301930130015001700930930930930930930100010003791126.91270837.5708142024-05-07 15:10:15.0
16610A1121150서울특별시 동대문구 사가정로 127, 2층 (전농동)N치과의원G099응급의료기관 이외21,3주 토요일은 휴진입니다.산부인과, 외과파크리오A상가임명수치과의원02-2244-304702-950-111918001800180018001800123014001400900900900900900900900900257127.05901937.5779122024-05-07 15:10:23.0
19790A1120611서울특별시 마포구 만리재로 133, 3층 (아현동)C의원G099응급의료기관 이외2진료시간 5/5(일) 13:00-18:00, 5/6(월) 09:00-15:00화요일 야간진료 예약환자만 가능도봉역 1번출구한사랑의원02-363-911402-2639-5555180018001800180018001400180015009009009009009009001300900423126.96213937.551662024-05-07 15:10:28.0
2793A1111186서울특별시 관악구 남부순환로 1814, 5층 (봉천동, 대연빌딩)N치과의원G099응급의료기관 이외2평일 점심시간 13:00~14:00 (토요일 점심시간 없음) 목요일/일요일/공휴일 휴진관악서울대학교치과병원은 서울대학교치과병원의 관악구 소재 분원으로서 공공구강보건의료 향상을 위한 지역거점 치과병원입니다. 6개의 전문과목인 구강내과, 구강악안면외과, 치주과, 치과보존과, 치과보철과, 치과교정과로 구성되어있으며 유기적인 협력진료를 통해 환자 중심의 진료를 제공하고 있습니다.서울대입구역 4번 출구관악왕플란트치과의원02-877-042802-2626-1550183018301830183018301300190016001000100010001000100010009009308787126.95156637.4810362024-05-07 15:10:01.0
16365A1123553서울특별시 용산구 이태원로 186, 4~5층 (이태원동)C의원G099응급의료기관 이외2점심시간 12:30~13:00주차 가능이태원119안전센터 인근이태원정형외과의원02-797-727202-901-311919001900190019001900140014001700100010001000100010001000900930446126.99461737.5343052024-05-07 15:10:23.0
223A1109190서울특별시 서초구 강남대로 243, 2층 (서초동, 위더스빌딩)N치과의원G099응급의료기관 이외2점심시간 13:00~14:00미용성형양재역 2번 출구 바로앞나무치과의원02-1644-505702-2260-74141800180018001800180014001300130093093093093093093090010006735127.03329237.4851352023-02-07 14:55:25.0
10229A1120793서울특별시 서초구 방배로 103, 서리풀타워 3층 (방배동)N치과의원G099응급의료기관 이외2점심시간 13:00~14:00서울대학교 치과대학을 졸업하고 삼성의료원에서 치주과를 전공한 원장님이 진료합니다. 평생 주치의로서 환자분 한분 한분을 가족과 같이 진료할 것을 약속드립니다. 예약전화를 주신 후에 내원해 주시면 더욱 편안하게 진료를 받으실 수 있습니다.약수역 9번 출구서울참조은치과의원02-3474-280002-2002-88881900210019001900210015001400160010001000100010001000100010009006683126.99612137.4832782024-05-07 15:10:13.0
20253A1104999서울특별시 마포구 도화4길 73, 207호 (도화동, 현대홈타운상가)C의원G099응급의료기관 이외2점심시간 13:00~14:00일반 정형외과 진료 및 물리치료.롯데마트 삼양동 지점 인근현대제일의원02-711-151102-2290-8284183018301830183018301500130015009009009009009009009009004180126.95113237.5387182024-05-07 15:10:29.0
기관ID주소병원분류병원분류명응급의료기관코드응급의료기관코드명응급실운영여부(1/2)비고기관설명상세간이약도기관명대표전화1응급실전화진료시간(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
12428A1119890서울특별시 강남구 언주로 843, 4,5층 (신사동)C의원G099응급의료기관 이외2평일 점심시간 13:00~14:00리더스피부과 압구정점압구정역 3번출구압구정리더스피부과의원1588-7833070-4698-7811193019301930193019301500130013001000100010001000100010009009006023127.03294637.5257372024-05-07 15:10:16.0
7449A1118839서울특별시 강남구 강남대로 476 (논현동, 7층)C의원G099응급의료기관 이외2점심시간 12:30~14:00예약제로 운영신논현역 3번 출구바탕성형외과의원02-517-595302-2007-11181900190019001900190017001630150010001000100010001000100010009006120127.0247937.504912024-05-07 15:10:09.0
3757A1102665서울특별시 송파구 송이로 87 (가락동, 2층)C의원G099응급의료기관 이외2점심시간 12:30-13:30이비인후과,소아과 의원입니다.경찰병원역 1번출구김진숙내과의원02-443-701902-2260-741418001800180018001800130013001500900900900900900900930930576127.12084737.4983362024-05-07 15:10:03.0
15643B1101468서울특별시 노원구 중계로 225, 4층 (중계동, 청구3차아파트)G한의원G099응급의료기관 이외2점심시간 13-14시내시경 전문구파발역 1번 출구은행나무한의원02-3392-591102-388-01191830210018302100183017301300130093093093014009309309008301742127.07498437.6503832024-05-07 15:10:21.0
19639A1116348서울특별시 구로구 경인로47길 126, 2층 (고척동)C의원G099응급의료기관 이외2점심시간 13:00~14:00양한방 협진 재활병원 입니다.세진아파트 인근한가정의학과의원02-2689-752502-920-53741900190019001900190013001330190090090090090090090093010008219126.86348237.5042092024-05-07 15:10:28.0
8651B1100265서울특별시 관악구 난곡로 60, 201호 (신림동, 산타플러스빌딩)G한의원G099응급의료기관 이외213:00~14:00 점심시간서울대 입구역 봉천동 주민들과 2003년부터 함께 하고 있는 한의원입니다.성대시장 안, 안일약국 건물 2층삼성경희한의원02-851-155702-880-01191900190019001900190013001400170090090090090090090093010308861126.91939637.4608682024-05-07 15:10:10.0
18102B1104431서울특별시 동작구 상도로 63, 3층 (대방동, 진성마블로스)G한의원G099응급의료기관 이외2매달 첫째주 토요일 휴진/점심시간 13:00~14:00추나, 다이어트 진료, 평일 야간진료, 점심시간 따로 없습니다신대방삼거리역 4,5번 출구 신성마블로스주상복합천성한의원02-817-013102-3468-3060160016001600160016001600160016009009009009009009009009006954126.92762737.4999622024-05-07 15:10:25.0
9643A1103632서울특별시 강서구 양천로 713, 2층 (염창동, 대영빌딩)C의원G099응급의료기관 이외2점심시간 13:00~14:00 목요일, 일요일, 공휴일 : 휴진진료: 산모/부인과 검진, 여성암 검진, 갑상선/유방 검진, 여성성형, 예방접종, 피임/생리, 여성질환나이아가라호텔 근처, 염창역1번 도보 13분거리서울삼성내과의원02-3663-117702-2072-2475180018001800180018001300160016009009009009009009009009007540126.87525237.5498412024-05-07 15:10:12.0
6112A1124603서울특별시 강동구 양재대로 1458, 길동빌딩 2층 (길동)C의원G099응급의료기관 이외2매달 첫째주 토요일 휴무.예약제로 운영 / 평일17시 이전, 토요일 12시 이전 접수마감두산위브아파트 정문 맞은편/마디인정형외과의원02-477-503602-829-9129183018301830183018301300140013009309309309309309009009005352127.13960137.5358962024-05-07 15:10:06.0
8411A1104359서울특별시 영등포구 영중로 60, 8층 (영등포동5가, 유니온빌딩)C의원G099응급의료기관 이외2점심시간 13:00~14:30성형외과영등포역 3번출구, 유니온빌딩 8층비즈성형외과의원02-2672-131802-2620-011918301830183018301830140015001500100010001000100010001000100010007250126.90533337.5214482024-05-07 15:10:10.0