Overview

Dataset statistics

Number of variables11
Number of observations417
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.0 KiB
Average record size in memory88.3 B

Variable types

Categorical7
Text4

Dataset

Description경기도 광주시 관내 명절연휴 의료기관 현황에 대한 데이터로 지역(동), 병원분류, 의료기관명, 전화번호, 주소, 일차별 운영시간 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15121604/fileData.do

Alerts

시군구 has constant value ""Constant
4일차 is highly overall correlated with 2일차 and 2 other fieldsHigh correlation
5일차 is highly overall correlated with 2일차 and 2 other fieldsHigh correlation
2일차 is highly overall correlated with 3일차 and 2 other fieldsHigh correlation
3일차 is highly overall correlated with 2일차 and 2 other fieldsHigh correlation
2일차 is highly imbalanced (69.8%)Imbalance
3일차 is highly imbalanced (70.6%)Imbalance
4일차 is highly imbalanced (75.3%)Imbalance
5일차 is highly imbalanced (70.9%)Imbalance
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:57:31.518178
Analysis finished2023-12-12 08:57:32.827762
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
경기 광주시
417 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기 광주시
2nd row경기 광주시
3rd row경기 광주시
4th row경기 광주시
5th row경기 광주시

Common Values

ValueCountFrequency (%)
경기 광주시 417
100.0%

Length

2023-12-12T17:57:32.909307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:57:33.035257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 417
50.0%
광주시 417
50.0%

동
Categorical

Distinct18
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
오포읍
94 
경안동
80 
태전동
41 
곤지암읍
40 
역동
38 
Other values (13)
124 

Length

Max length5
Median length3
Mean length3.0095923
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경안동
2nd row경안동
3rd row초월읍
4th row오포읍
5th row탄벌동

Common Values

ValueCountFrequency (%)
오포읍 94
22.5%
경안동 80
19.2%
태전동 41
9.8%
곤지암읍 40
9.6%
역동 38
9.1%
초월읍 37
 
8.9%
퇴촌면 19
 
4.6%
탄벌동 12
 
2.9%
도척면 11
 
2.6%
장지동 9
 
2.2%
Other values (8) 36
 
8.6%

Length

2023-12-12T17:57:33.154036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
오포읍 94
22.5%
경안동 80
19.2%
태전동 41
9.8%
곤지암읍 40
9.6%
역동 38
9.1%
초월읍 37
 
8.9%
퇴촌면 19
 
4.6%
탄벌동 12
 
2.9%
도척면 11
 
2.6%
장지동 9
 
2.2%
Other values (8) 36
 
8.6%

병원분류
Categorical

Distinct10
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
의원
133 
약국
111 
치과의원
81 
한의원
67 
보건진료소
 
12
Other values (5)
 
13

Length

Max length5
Median length2
Mean length2.6858513
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
의원 133
31.9%
약국 111
26.6%
치과의원 81
19.4%
한의원 67
16.1%
보건진료소 12
 
2.9%
요양병원 6
 
1.4%
보건지소 3
 
0.7%
병원 2
 
0.5%
종합병원 1
 
0.2%
보건소 1
 
0.2%

Length

2023-12-12T17:57:33.306432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:57:33.454209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 133
31.9%
약국 111
26.6%
치과의원 81
19.4%
한의원 67
16.1%
보건진료소 12
 
2.9%
요양병원 6
 
1.4%
보건지소 3
 
0.7%
병원 2
 
0.5%
종합병원 1
 
0.2%
보건소 1
 
0.2%

의료기관명
Text

UNIQUE 

Distinct417
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T17:57:33.789773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.8968825
Min length3

Characters and Unicode

Total characters2876
Distinct characters290
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique417 ?
Unique (%)100.0%

Sample

1st row참조은병원
2nd row더플러스병원
3rd row에스알씨(SRC)재활병원
4th row강남제일요양병원
5th row선한빛요양병원
ValueCountFrequency (%)
참조은병원 1
 
0.2%
우리들약국 1
 
0.2%
사랑약국 1
 
0.2%
봄약국 1
 
0.2%
백화점약국 1
 
0.2%
백제약국 1
 
0.2%
백세약국 1
 
0.2%
백두산약국 1
 
0.2%
밝은약국 1
 
0.2%
박약국 1
 
0.2%
Other values (408) 408
97.6%
2023-12-12T17:57:34.245121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 300
 
10.4%
원 295
 
10.3%
과 191
 
6.6%
약 112
 
3.9%
국 111
 
3.9%
한 92
 
3.2%
치 84
 
2.9%
소 59
 
2.1%
이 42
 
1.5%
리 35
 
1.2%
Other values (280) 1555
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2843
98.9%
Decimal Number 15
 
0.5%
Uppercase Letter 8
 
0.3%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 300
 
10.6%
원 295
 
10.4%
과 191
 
6.7%
약 112
 
3.9%
국 111
 
3.9%
한 92
 
3.2%
치 84
 
3.0%
소 59
 
2.1%
이 42
 
1.5%
리 35
 
1.2%
Other values (265) 1522
53.5%
Decimal Number
ValueCountFrequency (%)
2 3
20.0%
3 3
20.0%
6 3
20.0%
5 3
20.0%
1 2
13.3%
7 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
R 2
25.0%
S 2
25.0%
E 1
12.5%
W 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2843
98.9%
Common 25
 
0.9%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 300
 
10.6%
원 295
 
10.4%
과 191
 
6.7%
약 112
 
3.9%
국 111
 
3.9%
한 92
 
3.2%
치 84
 
3.0%
소 59
 
2.1%
이 42
 
1.5%
리 35
 
1.2%
Other values (265) 1522
53.5%
Common
ValueCountFrequency (%)
( 4
16.0%
) 4
16.0%
2 3
12.0%
3 3
12.0%
6 3
12.0%
5 3
12.0%
1 2
8.0%
· 1
 
4.0%
1
 
4.0%
7 1
 
4.0%
Latin
ValueCountFrequency (%)
C 2
25.0%
R 2
25.0%
S 2
25.0%
E 1
12.5%
W 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2843
98.9%
ASCII 32
 
1.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 300
 
10.6%
원 295
 
10.4%
과 191
 
6.7%
약 112
 
3.9%
국 111
 
3.9%
한 92
 
3.2%
치 84
 
3.0%
소 59
 
2.1%
이 42
 
1.5%
리 35
 
1.2%
Other values (265) 1522
53.5%
ASCII
ValueCountFrequency (%)
( 4
12.5%
) 4
12.5%
2 3
9.4%
3 3
9.4%
6 3
9.4%
5 3
9.4%
1 2
6.2%
C 2
6.2%
R 2
6.2%
S 2
6.2%
Other values (4) 4
12.5%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

Distinct415
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T17:57:34.550324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.014388
Min length9

Characters and Unicode

Total characters5010
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique413 ?
Unique (%)99.0%

Sample

1st row1600-9955
2nd row031-763-7582
3rd row031-760-3636
4th row031-711-0220
5th row031-765-0908
ValueCountFrequency (%)
031-768-3515 2
 
0.5%
031-761-1365 2
 
0.5%
031-768-8844 1
 
0.2%
031-765-8590 1
 
0.2%
031-768-2785 1
 
0.2%
031-769-7908 1
 
0.2%
031-726-1705 1
 
0.2%
031-761-8181 1
 
0.2%
031-763-6846 1
 
0.2%
031-765-0568 1
 
0.2%
Other values (405) 405
97.1%
2023-12-12T17:57:35.044460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 831
16.6%
7 690
13.8%
0 659
13.2%
1 621
12.4%
3 580
11.6%
6 478
9.5%
8 290
 
5.8%
5 290
 
5.8%
2 259
 
5.2%
9 186
 
3.7%
Other values (2) 126
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4177
83.4%
Dash Punctuation 831
 
16.6%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 690
16.5%
0 659
15.8%
1 621
14.9%
3 580
13.9%
6 478
11.4%
8 290
6.9%
5 290
6.9%
2 259
 
6.2%
9 186
 
4.5%
4 124
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 831
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5010
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 831
16.6%
7 690
13.8%
0 659
13.2%
1 621
12.4%
3 580
11.6%
6 478
9.5%
8 290
 
5.8%
5 290
 
5.8%
2 259
 
5.2%
9 186
 
3.7%
Other values (2) 126
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 831
16.6%
7 690
13.8%
0 659
13.2%
1 621
12.4%
3 580
11.6%
6 478
9.5%
8 290
 
5.8%
5 290
 
5.8%
2 259
 
5.2%
9 186
 
3.7%
Other values (2) 126
 
2.5%

도로명 주소
Text

Distinct387
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T17:57:35.378606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length25.669065
Min length14

Characters and Unicode

Total characters10704
Distinct characters183
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique362 ?
Unique (%)86.8%

Sample

1st row경기도 광주시 광주대로 45 (경안동)
2nd row경기도 광주시 경안로 40 (경안동)
3rd row경기도 광주시 초월읍 경수길 25
4th row경기도 광주시 오포읍 새말길 188 (오포읍)
5th row경기도 광주시 경충대로1926번길 119 (탄벌동, 연세대학교의과대학세브란스정신건강병원)
ValueCountFrequency (%)
경기도 417
 
16.8%
광주시 417
 
16.8%
오포읍 140
 
5.7%
중앙로 84
 
3.4%
경안동 73
 
2.9%
2층 60
 
2.4%
곤지암읍 52
 
2.1%
초월읍 47
 
1.9%
3층 47
 
1.9%
태전동 40
 
1.6%
Other values (387) 1098
44.4%
2023-12-12T17:57:35.999667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2071
19.3%
경 547
 
5.1%
광 451
 
4.2%
주 438
 
4.1%
도 435
 
4.1%
시 417
 
3.9%
기 417
 
3.9%
로 381
 
3.6%
1 355
 
3.3%
( 294
 
2.7%
Other values (173) 4898
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6048
56.5%
Space Separator 2071
 
19.3%
Decimal Number 1649
 
15.4%
Open Punctuation 294
 
2.7%
Close Punctuation 294
 
2.7%
Other Punctuation 251
 
2.3%
Dash Punctuation 84
 
0.8%
Uppercase Letter 9
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 547
 
9.0%
광 451
 
7.5%
주 438
 
7.2%
도 435
 
7.2%
시 417
 
6.9%
기 417
 
6.9%
로 381
 
6.3%
읍 239
 
4.0%
동 238
 
3.9%
층 186
 
3.1%
Other values (151) 2299
38.0%
Decimal Number
ValueCountFrequency (%)
1 355
21.5%
2 252
15.3%
3 251
15.2%
0 187
11.3%
4 153
9.3%
5 122
 
7.4%
9 87
 
5.3%
8 82
 
5.0%
7 82
 
5.0%
6 78
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
44.4%
A 2
22.2%
C 1
 
11.1%
S 1
 
11.1%
M 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 250
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2071
100.0%
Open Punctuation
ValueCountFrequency (%)
( 294
100.0%
Close Punctuation
ValueCountFrequency (%)
) 294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6048
56.5%
Common 4647
43.4%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 547
 
9.0%
광 451
 
7.5%
주 438
 
7.2%
도 435
 
7.2%
시 417
 
6.9%
기 417
 
6.9%
로 381
 
6.3%
읍 239
 
4.0%
동 238
 
3.9%
층 186
 
3.1%
Other values (151) 2299
38.0%
Common
ValueCountFrequency (%)
2071
44.6%
1 355
 
7.6%
( 294
 
6.3%
) 294
 
6.3%
2 252
 
5.4%
3 251
 
5.4%
, 250
 
5.4%
0 187
 
4.0%
4 153
 
3.3%
5 122
 
2.6%
Other values (7) 418
 
9.0%
Latin
ValueCountFrequency (%)
B 4
44.4%
A 2
22.2%
C 1
 
11.1%
S 1
 
11.1%
M 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6048
56.5%
ASCII 4656
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2071
44.5%
1 355
 
7.6%
( 294
 
6.3%
) 294
 
6.3%
2 252
 
5.4%
3 251
 
5.4%
, 250
 
5.4%
0 187
 
4.0%
4 153
 
3.3%
5 122
 
2.6%
Other values (12) 427
 
9.2%
Hangul
ValueCountFrequency (%)
경 547
 
9.0%
광 451
 
7.5%
주 438
 
7.2%
도 435
 
7.2%
시 417
 
6.9%
기 417
 
6.9%
로 381
 
6.3%
읍 239
 
4.0%
동 238
 
3.9%
층 186
 
3.1%
Other values (151) 2299
38.0%

1일차
Text

Distinct55
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T17:57:36.333463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.1846523
Min length2

Characters and Unicode

Total characters3830
Distinct characters22
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

Unique21 ?
Unique (%)5.0%

Sample

1st row응급실운영
2nd row휴진
3rd row휴진
4th row휴진
5th row휴진
ValueCountFrequency (%)
09:00~13:00 81
19.4%
09:00~14:00 62
14.9%
휴진 55
13.2%
휴무 27
 
6.5%
09:00~15:00 26
 
6.2%
09:30~13:30 21
 
5.0%
09:30~13:00 17
 
4.1%
09:30~14:00 16
 
3.8%
09:00~18:00 7
 
1.7%
09:00~19:00 6
 
1.4%
Other values (45) 99
23.7%
2023-12-12T17:57:36.819819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1533
40.0%
: 666
17.4%
1 346
 
9.0%
~ 333
 
8.7%
9 294
 
7.7%
3 270
 
7.0%
4 92
 
2.4%
휴 82
 
2.1%
진 55
 
1.4%
5 39
 
1.0%
Other values (12) 120
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2660
69.5%
Other Punctuation 666
 
17.4%
Math Symbol 333
 
8.7%
Other Letter 171
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1533
57.6%
1 346
 
13.0%
9 294
 
11.1%
3 270
 
10.2%
4 92
 
3.5%
5 39
 
1.5%
8 39
 
1.5%
2 28
 
1.1%
7 10
 
0.4%
6 9
 
0.3%
Other Letter
ValueCountFrequency (%)
휴 82
48.0%
진 55
32.2%
무 27
 
15.8%
폐 1
 
0.6%
업 1
 
0.6%
응 1
 
0.6%
급 1
 
0.6%
실 1
 
0.6%
운 1
 
0.6%
영 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 666
100.0%
Math Symbol
ValueCountFrequency (%)
~ 333
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3659
95.5%
Hangul 171
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1533
41.9%
: 666
18.2%
1 346
 
9.5%
~ 333
 
9.1%
9 294
 
8.0%
3 270
 
7.4%
4 92
 
2.5%
5 39
 
1.1%
8 39
 
1.1%
2 28
 
0.8%
Other values (2) 19
 
0.5%
Hangul
ValueCountFrequency (%)
휴 82
48.0%
진 55
32.2%
무 27
 
15.8%
폐 1
 
0.6%
업 1
 
0.6%
응 1
 
0.6%
급 1
 
0.6%
실 1
 
0.6%
운 1
 
0.6%
영 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3659
95.5%
Hangul 171
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1533
41.9%
: 666
18.2%
1 346
 
9.5%
~ 333
 
9.1%
9 294
 
8.0%
3 270
 
7.4%
4 92
 
2.5%
5 39
 
1.1%
8 39
 
1.1%
2 28
 
0.8%
Other values (2) 19
 
0.5%
Hangul
ValueCountFrequency (%)
휴 82
48.0%
진 55
32.2%
무 27
 
15.8%
폐 1
 
0.6%
업 1
 
0.6%
응 1
 
0.6%
급 1
 
0.6%
실 1
 
0.6%
운 1
 
0.6%
영 1
 
0.6%

2일차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct30
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
휴무
316 
휴진
60 
09:00~13:00
 
5
09:00~19:00
 
4
09:00~17:00
 
3
Other values (25)
 
29

Length

Max length11
Median length2
Mean length2.82494
Min length1

Unique

Unique21 ?
Unique (%)5.0%

Sample

1st row응급실운영
2nd row휴진
3rd row휴진
4th row휴진
5th row휴진

Common Values

ValueCountFrequency (%)
휴무 316
75.8%
휴진 60
 
14.4%
09:00~13:00 5
 
1.2%
09:00~19:00 4
 
1.0%
09:00~17:00 3
 
0.7%
08:00~17:00 2
 
0.5%
09:00~14:00 2
 
0.5%
09:00~20:00 2
 
0.5%
09:00~21:00 2
 
0.5%
08:00~22:00 1
 
0.2%
Other values (20) 20
 
4.8%

Length

2023-12-12T17:57:36.988336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
휴무 316
75.8%
휴진 60
 
14.4%
09:00~13:00 5
 
1.2%
09:00~19:00 4
 
1.0%
09:00~17:00 3
 
0.7%
08:00~17:00 2
 
0.5%
09:00~14:00 2
 
0.5%
09:00~20:00 2
 
0.5%
09:00~21:00 2
 
0.5%
09:30~15:00 1
 
0.2%
Other values (20) 20
 
4.8%

3일차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct26
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
휴무
320 
휴진
61 
09:00~19:00
 
4
09:00~17:00
 
4
09:00~13:00
 
2
Other values (21)
 
26

Length

Max length11
Median length2
Mean length2.7410072
Min length2

Unique

Unique16 ?
Unique (%)3.8%

Sample

1st row응급실운영
2nd row휴진
3rd row휴진
4th row휴진
5th row휴진

Common Values

ValueCountFrequency (%)
휴무 320
76.7%
휴진 61
 
14.6%
09:00~19:00 4
 
1.0%
09:00~17:00 4
 
1.0%
09:00~13:00 2
 
0.5%
09:00~20:00 2
 
0.5%
10:00~20:00 2
 
0.5%
08:00~20:00 2
 
0.5%
09:00~18:00 2
 
0.5%
08:00~17:00 2
 
0.5%
Other values (16) 16
 
3.8%

Length

2023-12-12T17:57:37.139569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
휴무 320
76.7%
휴진 61
 
14.6%
09:00~19:00 4
 
1.0%
09:00~17:00 4
 
1.0%
08:00~20:00 2
 
0.5%
08:00~17:00 2
 
0.5%
09:00~18:00 2
 
0.5%
10:00~20:00 2
 
0.5%
09:00~20:00 2
 
0.5%
09:00~13:00 2
 
0.5%
Other values (16) 16
 
3.8%

4일차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
휴무
340 
휴진
61 
09:00~19:00
 
3
08:00~17:00
 
2
응급실운영
 
1
Other values (10)
 
10

Length

Max length11
Median length2
Mean length2.3093525
Min length2

Unique

Unique11 ?
Unique (%)2.6%

Sample

1st row응급실운영
2nd row휴진
3rd row휴진
4th row휴진
5th row휴진

Common Values

ValueCountFrequency (%)
휴무 340
81.5%
휴진 61
 
14.6%
09:00~19:00 3
 
0.7%
08:00~17:00 2
 
0.5%
응급실운영 1
 
0.2%
10:00~20:00 1
 
0.2%
10:00~21:00 1
 
0.2%
08:00~22:00 1
 
0.2%
10:30~19:30 1
 
0.2%
14:00~22:00 1
 
0.2%
Other values (5) 5
 
1.2%

Length

2023-12-12T17:57:37.288707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
휴무 340
81.5%
휴진 61
 
14.6%
09:00~19:00 3
 
0.7%
08:00~17:00 2
 
0.5%
응급실운영 1
 
0.2%
10:00~20:00 1
 
0.2%
10:00~21:00 1
 
0.2%
08:00~22:00 1
 
0.2%
10:30~19:30 1
 
0.2%
14:00~22:00 1
 
0.2%
Other values (5) 5
 
1.2%

5일차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct24
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
휴무
328 
휴진
51 
09:00~13:00
 
5
09:00~18:00
 
5
09:00~19:00
 
4
Other values (19)
 
24

Length

Max length11
Median length2
Mean length2.764988
Min length2

Unique

Unique16 ?
Unique (%)3.8%

Sample

1st row응급실운영
2nd row휴진
3rd row휴진
4th row휴진
5th row휴진

Common Values

ValueCountFrequency (%)
휴무 328
78.7%
휴진 51
 
12.2%
09:00~13:00 5
 
1.2%
09:00~18:00 5
 
1.2%
09:00~19:00 4
 
1.0%
09:00~15:00 3
 
0.7%
09:00~17:00 3
 
0.7%
08:00~17:00 2
 
0.5%
09:00~22:00 1
 
0.2%
08:00~20:00 1
 
0.2%
Other values (14) 14
 
3.4%

Length

2023-12-12T17:57:37.475453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
휴무 328
78.7%
휴진 51
 
12.2%
09:00~13:00 5
 
1.2%
09:00~18:00 5
 
1.2%
09:00~19:00 4
 
1.0%
09:00~15:00 3
 
0.7%
09:00~17:00 3
 
0.7%
08:00~17:00 2
 
0.5%
na 1
 
0.2%
응급실운영 1
 
0.2%
Other values (14) 14
 
3.4%

Correlations

2023-12-12T17:57:37.586738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동병원분류1일차2일차3일차4일차5일차
동1.0000.2800.5540.6230.5230.0000.537
병원분류0.2801.0000.7640.7730.7350.7410.748
1일차0.5540.7641.0000.9780.9710.9690.978
2일차0.6230.7730.9781.0000.9840.9970.989
3일차0.5230.7350.9710.9841.0000.9890.987
4일차0.0000.7410.9690.9970.9891.0000.992
5일차0.5370.7480.9780.9890.9870.9921.000
2023-12-12T17:57:37.741001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동2일차4일차병원분류3일차5일차
동1.0000.2100.0000.1090.1700.182
2일차0.2101.0000.8700.3540.7750.834
4일차0.0000.8701.0000.3820.8870.922
병원분류0.1090.3540.3821.0000.3640.385
3일차0.1700.7750.8870.3641.0000.826
5일차0.1820.8340.9220.3850.8261.000
2023-12-12T17:57:38.238673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동병원분류2일차3일차4일차5일차
동1.0000.1090.2100.1700.0000.182
병원분류0.1091.0000.3540.3640.3820.385
2일차0.2100.3541.0000.7750.8700.834
3일차0.1700.3640.7751.0000.8870.826
4일차0.0000.3820.8700.8871.0000.922
5일차0.1820.3850.8340.8260.9221.000

Missing values

2023-12-12T17:57:32.497971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:57:32.748057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시군구동병원분류의료기관명전화번호도로명 주소1일차2일차3일차4일차5일차
0경기 광주시경안동종합병원참조은병원1600-9955경기도 광주시 광주대로 45 (경안동)응급실운영응급실운영응급실운영응급실운영응급실운영
1경기 광주시경안동병원더플러스병원031-763-7582경기도 광주시 경안로 40 (경안동)휴진휴진휴진휴진휴진
2경기 광주시초월읍병원에스알씨(SRC)재활병원031-760-3636경기도 광주시 초월읍 경수길 25휴진휴진휴진휴진휴진
3경기 광주시오포읍요양병원강남제일요양병원031-711-0220경기도 광주시 오포읍 새말길 188 (오포읍)휴진휴진휴진휴진휴진
4경기 광주시탄벌동요양병원선한빛요양병원031-765-0908경기도 광주시 경충대로1926번길 119 (탄벌동, 연세대학교의과대학세브란스정신건강병원)휴진휴진휴진휴진휴진
5경기 광주시초월읍요양병원에스알씨(SRC)노인전문병원031-760-3671,4경기도 광주시 초월읍 경수길 25휴진휴진휴진휴진휴진
6경기 광주시초월읍요양병원위더스요양병원031-798-5554경기도 광주시 초월읍 경충대로 974-43휴진휴진휴진휴진휴진
7경기 광주시도척면요양병원한사랑요양병원031-763-3352경기도 광주시 도척면 도척로 312휴진휴진휴진휴진휴진
8경기 광주시도척면요양병원효천요양병원031-799-8600경기도 광주시 도척면 도척로 376-47휴진휴진휴진휴진휴진
9경기 광주시경안동의원(의)열린의료재단광주열린의원031-767-7580,5경기도 광주시 중앙로 118, 3,4,5층 (경안동)08:30~12:00휴무휴무휴무휴무
시군구동병원분류의료기관명전화번호도로명 주소1일차2일차3일차4일차5일차
407경기 광주시탄벌동한의원톡톡경희한의원031-767-0075경기도 광주시 파발로 187, 2층 202호 (탄벌동, 세양빌딩)09:00~14:00휴무휴무휴무휴무
408경기 광주시퇴촌면한의원퇴촌백세한의원031-767-0575경기도 광주시 퇴촌면 광동로 7209:00~13:00휴진휴진휴진휴진
409경기 광주시퇴촌면한의원퇴촌한의원031-768-1075경기도 광주시 퇴촌면 광동로 2709:00~19:00휴무휴무휴무휴무
410경기 광주시곤지암읍한의원푸른숲한의원031-764-2386경기도 광주시 곤지암읍 평촌길 31-10휴무휴무휴무휴무휴무
411경기 광주시경안동한의원한윤승한의원031-762-5541경기도 광주시 중앙로 130 (경안동)09:00~13:00휴진휴진휴진휴진
412경기 광주시역동한의원행복한경희한의원031-764-3075경기도 광주시 중앙로 83-6, 2층 (역동)09:00~13:00휴진휴진휴진휴진
413경기 광주시곤지암읍한의원환한의원031-769-3363경기도 광주시 곤지암읍 경충대로 766, 201호 (삼원빌딩)09:00~18:00휴무휴무휴무휴무
414경기 광주시역동한의원활기찬한의원031-766-8275경기도 광주시 중앙로 88, 대영빌딩 가동 4층 (역동)09:00~13:00휴진휴진휴진휴진
415경기 광주시역동한의원황제한의원031-766-1441경기도 광주시 중앙로 95-8휴무휴무휴무휴무휴무
416경기 광주시탄벌동한의원회덕한의원031-766-1075경기도 광주시 이배재로 117, 1층 (탄벌동)09:00~13:00휴진휴진휴진휴진