Overview

Dataset statistics

Number of variables15
Number of observations1212
Missing cells2685
Missing cells (%)14.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory142.2 KiB
Average record size in memory120.1 B

Variable types

Text7
Categorical8

Dataset

Description충청남도 명절 진료 가능한 기관 목록정보
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2608

Alerts

병원분류 has constant value ""Constant
명절비상진료일자1 has constant value ""Constant
명절비상진료일자3 has constant value ""Constant
명절비상진료일자4 has constant value ""Constant
명절비상진료시간4 has constant value ""Constant
기관ID is highly overall correlated with 기관명 and 1 other fieldsHigh correlation
기관명 is highly overall correlated with 기관ID and 1 other fieldsHigh correlation
비고 is highly overall correlated with 기관명 and 1 other fieldsHigh correlation
비고 is highly imbalanced (65.2%)Imbalance
주소 has 678 (55.9%) missing valuesMissing
병원분류명 has 117 (9.7%) missing valuesMissing
명절비상진료일자2 has 952 (78.5%) missing valuesMissing
명절비상진료시간3 has 938 (77.4%) missing valuesMissing
대표전화1 has unique valuesUnique

Reproduction

Analysis started2024-01-09 19:53:07.246100
Analysis finished2024-01-09 19:53:08.239380
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주소
Text

MISSING 

Distinct108
Distinct (%)20.2%
Missing678
Missing (%)55.9%
Memory size9.6 KiB
2024-01-10T04:53:08.371165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.737828
Min length4

Characters and Unicode

Total characters5734
Distinct characters19
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

Unique49 ?
Unique (%)9.2%

Sample

1st row09:00~21:00
2nd row10:00~21:00
3rd row10:00~21:00
4th row09:00~23:00
5th row09:00~16:00
ValueCountFrequency (%)
09:00~13:00 82
 
15.4%
09:00~18:00 52
 
9.7%
08:30~13:00 27
 
5.1%
응급실운영 21
 
3.9%
08:00~13:00 19
 
3.6%
09:00~16:00 18
 
3.4%
09:00~19:00 18
 
3.4%
09:00~21:00 16
 
3.0%
09:00~17:00 15
 
2.8%
09:00~15:00 12
 
2.2%
Other values (98) 254
47.6%
2024-01-10T04:53:08.661394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2406
42.0%
: 1022
17.8%
1 531
 
9.3%
~ 511
 
8.9%
9 325
 
5.7%
3 310
 
5.4%
8 243
 
4.2%
2 147
 
2.6%
7 34
 
0.6%
5 33
 
0.6%
Other values (9) 172
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4088
71.3%
Other Punctuation 1022
 
17.8%
Math Symbol 511
 
8.9%
Other Letter 113
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2406
58.9%
1 531
 
13.0%
9 325
 
8.0%
3 310
 
7.6%
8 243
 
5.9%
2 147
 
3.6%
7 34
 
0.8%
5 33
 
0.8%
6 31
 
0.8%
4 28
 
0.7%
Other Letter
ValueCountFrequency (%)
응 23
20.4%
급 23
20.4%
실 21
18.6%
영 21
18.6%
운 21
18.6%
분 2
 
1.8%
만 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
: 1022
100.0%
Math Symbol
ValueCountFrequency (%)
~ 511
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5621
98.0%
Hangul 113
 
2.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2406
42.8%
: 1022
18.2%
1 531
 
9.4%
~ 511
 
9.1%
9 325
 
5.8%
3 310
 
5.5%
8 243
 
4.3%
2 147
 
2.6%
7 34
 
0.6%
5 33
 
0.6%
Other values (2) 59
 
1.0%
Hangul
ValueCountFrequency (%)
응 23
20.4%
급 23
20.4%
실 21
18.6%
영 21
18.6%
운 21
18.6%
분 2
 
1.8%
만 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5621
98.0%
Hangul 113
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2406
42.8%
: 1022
18.2%
1 531
 
9.4%
~ 511
 
9.1%
9 325
 
5.8%
3 310
 
5.5%
8 243
 
4.3%
2 147
 
2.6%
7 34
 
0.6%
5 33
 
0.6%
Other values (2) 59
 
1.0%
Hangul
ValueCountFrequency (%)
응 23
20.4%
급 23
20.4%
실 21
18.6%
영 21
18.6%
운 21
18.6%
분 2
 
1.8%
만 2
 
1.8%

병원분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-09-30
1212 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 1212
100.0%

Length

2024-01-10T04:53:08.780440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:08.855084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 1212
100.0%

병원분류명
Text

MISSING 

Distinct138
Distinct (%)12.6%
Missing117
Missing (%)9.7%
Memory size9.6 KiB
2024-01-10T04:53:09.009558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.878539
Min length4

Characters and Unicode

Total characters11912
Distinct characters19
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

Unique62 ?
Unique (%)5.7%

Sample

1st row08:30~19:00
2nd row09:00~21:00
3rd row10:00~21:00
4th row09:00~15:00
5th row10:00~21:00
ValueCountFrequency (%)
09:00~18:00 167
 
15.3%
09:00~13:00 76
 
6.9%
08:30~18:00 69
 
6.3%
09:00~19:00 63
 
5.8%
09:00~17:00 44
 
4.0%
08:00~18:00 36
 
3.3%
08:30~18:30 32
 
2.9%
08:30~13:00 31
 
2.8%
09:00~16:00 28
 
2.6%
09:00~20:00 26
 
2.4%
Other values (128) 523
47.8%
2024-01-10T04:53:09.302093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4874
40.9%
: 2146
18.0%
~ 1073
 
9.0%
1 1059
 
8.9%
8 778
 
6.5%
9 741
 
6.2%
3 647
 
5.4%
2 215
 
1.8%
7 135
 
1.1%
6 51
 
0.4%
Other values (9) 193
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8584
72.1%
Other Punctuation 2146
 
18.0%
Math Symbol 1073
 
9.0%
Other Letter 109
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4874
56.8%
1 1059
 
12.3%
8 778
 
9.1%
9 741
 
8.6%
3 647
 
7.5%
2 215
 
2.5%
7 135
 
1.6%
6 51
 
0.6%
5 46
 
0.5%
4 38
 
0.4%
Other Letter
ValueCountFrequency (%)
응 22
20.2%
급 22
20.2%
실 21
19.3%
운 21
19.3%
영 21
19.3%
분 1
 
0.9%
만 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 2146
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1073
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11803
99.1%
Hangul 109
 
0.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4874
41.3%
: 2146
18.2%
~ 1073
 
9.1%
1 1059
 
9.0%
8 778
 
6.6%
9 741
 
6.3%
3 647
 
5.5%
2 215
 
1.8%
7 135
 
1.1%
6 51
 
0.4%
Other values (2) 84
 
0.7%
Hangul
ValueCountFrequency (%)
응 22
20.2%
급 22
20.2%
실 21
19.3%
운 21
19.3%
영 21
19.3%
분 1
 
0.9%
만 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11803
99.1%
Hangul 109
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4874
41.3%
: 2146
18.2%
~ 1073
 
9.1%
1 1059
 
9.0%
8 778
 
6.6%
9 741
 
6.3%
3 647
 
5.5%
2 215
 
1.8%
7 135
 
1.1%
6 51
 
0.4%
Other values (2) 84
 
0.7%
Hangul
ValueCountFrequency (%)
응 22
20.2%
급 22
20.2%
실 21
19.3%
운 21
19.3%
영 21
19.3%
분 1
 
0.9%
만 1
 
0.9%

기관명
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
약국
431 
의원
399 
한의원
180 
치과의원
90 
보건소
49 
Other values (5)
63 

Length

Max length4
Median length2
Mean length2.3869637
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
약국 431
35.6%
의원 399
32.9%
한의원 180
14.9%
치과의원 90
 
7.4%
보건소 49
 
4.0%
병원 33
 
2.7%
종합병원 13
 
1.1%
한방병원 8
 
0.7%
요양병원 5
 
0.4%
치과병원 4
 
0.3%

Length

2024-01-10T04:53:09.420388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:09.516480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
약국 431
35.6%
의원 399
32.9%
한의원 180
14.9%
치과의원 90
 
7.4%
보건소 49
 
4.0%
병원 33
 
2.7%
종합병원 13
 
1.1%
한방병원 8
 
0.7%
요양병원 5
 
0.4%
치과병원 4
 
0.3%

대표전화1
Text

UNIQUE 

Distinct1212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-01-10T04:53:09.739593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters9696
Distinct characters14
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

Unique1212 ?
Unique (%)100.0%

Sample

1st rowB2400679
2nd rowC2401380
3rd rowA2402469
4th rowC2401397
5th rowC2401408
ValueCountFrequency (%)
b2400679 1
 
0.1%
c2400331 1
 
0.1%
a2402855 1
 
0.1%
b2400834 1
 
0.1%
c2400217 1
 
0.1%
c2401191 1
 
0.1%
c2400704 1
 
0.1%
a2401021 1
 
0.1%
a2402318 1
 
0.1%
a2400091 1
 
0.1%
Other values (1202) 1202
99.2%
2024-01-10T04:53:10.302570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2418
24.9%
2 1768
18.2%
4 1579
16.3%
1 632
 
6.5%
A 543
 
5.6%
C 437
 
4.5%
6 374
 
3.9%
7 374
 
3.9%
3 367
 
3.8%
5 343
 
3.5%
Other values (4) 861
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8484
87.5%
Uppercase Letter 1212
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2418
28.5%
2 1768
20.8%
4 1579
18.6%
1 632
 
7.4%
6 374
 
4.4%
7 374
 
4.4%
3 367
 
4.3%
5 343
 
4.0%
8 339
 
4.0%
9 290
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
A 543
44.8%
C 437
36.1%
B 183
 
15.1%
E 49
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8484
87.5%
Latin 1212
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2418
28.5%
2 1768
20.8%
4 1579
18.6%
1 632
 
7.4%
6 374
 
4.4%
7 374
 
4.4%
3 367
 
4.3%
5 343
 
4.0%
8 339
 
4.0%
9 290
 
3.4%
Latin
ValueCountFrequency (%)
A 543
44.8%
C 437
36.1%
B 183
 
15.1%
E 49
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9696
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2418
24.9%
2 1768
18.2%
4 1579
16.3%
1 632
 
6.5%
A 543
 
5.6%
C 437
 
4.5%
6 374
 
3.9%
7 374
 
3.9%
3 367
 
3.8%
5 343
 
3.5%
Other values (4) 861
 
8.9%

기관ID
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
H
431 
C
399 
G
180 
N
90 
R
49 
Other values (5)
63 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
H 431
35.6%
C 399
32.9%
G 180
14.9%
N 90
 
7.4%
R 49
 
4.0%
B 33
 
2.7%
A 13
 
1.1%
E 8
 
0.7%
D 5
 
0.4%
M 4
 
0.3%

Length

2024-01-10T04:53:10.408816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:10.500142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
h 431
35.6%
c 399
32.9%
g 180
14.9%
n 90
 
7.4%
r 49
 
4.0%
b 33
 
2.7%
a 13
 
1.1%
e 8
 
0.7%
d 5
 
0.4%
m 4
 
0.3%

명절비상진료일자1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-09-28
1212 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-28
2nd row2023-09-28
3rd row2023-09-28
4th row2023-09-28
5th row2023-09-28

Common Values

ValueCountFrequency (%)
2023-09-28 1212
100.0%

Length

2024-01-10T04:53:10.600513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:10.668443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-28 1212
100.0%

명절비상진료일자2
Text

MISSING 

Distinct83
Distinct (%)31.9%
Missing952
Missing (%)78.5%
Memory size9.6 KiB
2024-01-10T04:53:10.828202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.461538
Min length4

Characters and Unicode

Total characters2720
Distinct characters19
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

Unique47 ?
Unique (%)18.1%

Sample

1st row09:00~21:00
2nd row10:00~21:00
3rd row10:00~21:00
4th row09:00~23:00
5th row09:00~22:00
ValueCountFrequency (%)
09:00~18:00 33
 
12.7%
응급실운영 21
 
8.1%
09:00~13:00 20
 
7.7%
09:00~21:00 11
 
4.2%
09:00~17:00 11
 
4.2%
09:00~22:00 10
 
3.8%
09:00~19:00 7
 
2.7%
08:30~18:00 6
 
2.3%
10:00~18:00 6
 
2.3%
08:00~13:00 5
 
1.9%
Other values (73) 130
50.0%
2024-01-10T04:53:11.124347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1127
41.4%
: 474
17.4%
1 244
 
9.0%
~ 237
 
8.7%
9 155
 
5.7%
8 112
 
4.1%
3 104
 
3.8%
2 97
 
3.6%
응 23
 
0.8%
급 23
 
0.8%
Other values (9) 124
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1896
69.7%
Other Punctuation 474
 
17.4%
Math Symbol 237
 
8.7%
Other Letter 113
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1127
59.4%
1 244
 
12.9%
9 155
 
8.2%
8 112
 
5.9%
3 104
 
5.5%
2 97
 
5.1%
7 23
 
1.2%
4 16
 
0.8%
5 13
 
0.7%
6 5
 
0.3%
Other Letter
ValueCountFrequency (%)
응 23
20.4%
급 23
20.4%
운 21
18.6%
영 21
18.6%
실 21
18.6%
분 2
 
1.8%
만 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
: 474
100.0%
Math Symbol
ValueCountFrequency (%)
~ 237
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2607
95.8%
Hangul 113
 
4.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1127
43.2%
: 474
18.2%
1 244
 
9.4%
~ 237
 
9.1%
9 155
 
5.9%
8 112
 
4.3%
3 104
 
4.0%
2 97
 
3.7%
7 23
 
0.9%
4 16
 
0.6%
Other values (2) 18
 
0.7%
Hangul
ValueCountFrequency (%)
응 23
20.4%
급 23
20.4%
운 21
18.6%
영 21
18.6%
실 21
18.6%
분 2
 
1.8%
만 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2607
95.8%
Hangul 113
 
4.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1127
43.2%
: 474
18.2%
1 244
 
9.4%
~ 237
 
9.1%
9 155
 
5.9%
8 112
 
4.3%
3 104
 
4.0%
2 97
 
3.7%
7 23
 
0.9%
4 16
 
0.6%
Other values (2) 18
 
0.7%
Hangul
ValueCountFrequency (%)
응 23
20.4%
급 23
20.4%
운 21
18.6%
영 21
18.6%
실 21
18.6%
분 2
 
1.8%
만 2
 
1.8%

명절비상진료일자3
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-09-29
1212 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-29
2nd row2023-09-29
3rd row2023-09-29
4th row2023-09-29
5th row2023-09-29

Common Values

ValueCountFrequency (%)
2023-09-29 1212
100.0%

Length

2024-01-10T04:53:11.230849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:11.300822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-29 1212
100.0%

명절비상진료일자4
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-10-01
1212 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-01
2nd row2023-10-01
3rd row2023-10-01
4th row2023-10-01
5th row2023-10-01

Common Values

ValueCountFrequency (%)
2023-10-01 1212
100.0%

Length

2024-01-10T04:53:11.370426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:11.439751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-01 1212
100.0%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct40
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
<NA>
919 
코로나19 먹는 치료제 처방가능
 
40
코로나19 먹는 치료제 처방
 
32
코로나19 먹는 치료제 조제 가능
 
24
코로나19 먹는 치료제
 
21
Other values (35)
176 

Length

Max length73
Median length4
Mean length6.6963696
Min length3

Unique

Unique19 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row코로나19 먹는 치료제 조제가능
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 919
75.8%
코로나19 먹는 치료제 처방가능 40
 
3.3%
코로나19 먹는 치료제 처방 32
 
2.6%
코로나19 먹는 치료제 조제 가능 24
 
2.0%
코로나19 먹는 치료제 21
 
1.7%
코로나19 먹는 치료제 조제가능 21
 
1.7%
코로나19 먹는 치료제 조제 18
 
1.5%
*먹는치료제 조제약국 15
 
1.2%
코로나19먹는치료 13
 
1.1%
코로나19 먹는 치료제 처방 가능 13
 
1.1%
Other values (30) 96
 
7.9%

Length

2024-01-10T04:53:11.521412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 919
48.3%
먹는 187
 
9.8%
치료제 186
 
9.8%
코로나19 182
 
9.6%
먹는치료제 56
 
2.9%
조제 54
 
2.8%
처방 46
 
2.4%
처방가능 42
 
2.2%
가능 42
 
2.2%
처방기관 25
 
1.3%
Other values (51) 164
 
8.6%

명절비상진료시간1
Text

Distinct1164
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-01-10T04:53:11.797941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length56
Mean length28.717822
Min length15

Characters and Unicode

Total characters34806
Distinct characters353
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1120 ?
Unique (%)92.4%

Sample

1st row충청남도 천안시 서북구 입장면 입장로 128&#44; 1층
2nd row충청남도 홍성군 홍북읍 홍학로 95
3rd row충청남도 천안시 서북구 쌍용대로 348&#44; 1&#44; 2층 (성정동)
4th row충청남도 아산시 번영로 223&#44; 4층 (모종동&#44; 아산동양고속터미널복합시설)
5th row충청남도 천안시 서북구 쌍용대로 348&#44; 102호 (성정동)
ValueCountFrequency (%)
충청남도 1212
 
16.9%
천안시 309
 
4.3%
서북구 192
 
2.7%
동남구 117
 
1.6%
아산시 114
 
1.6%
공주시 107
 
1.5%
당진시 100
 
1.4%
보령시 98
 
1.4%
2층 93
 
1.3%
1층 84
 
1.2%
Other values (1557) 4749
66.2%
2024-01-10T04:53:12.200584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5973
 
17.2%
4 1731
 
5.0%
남 1382
 
4.0%
청 1317
 
3.8%
충 1284
 
3.7%
도 1226
 
3.5%
1 1080
 
3.1%
로 1008
 
2.9%
시 985
 
2.8%
동 890
 
2.6%
Other values (343) 17930
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19179
55.1%
Space Separator 5973
 
17.2%
Decimal Number 5854
 
16.8%
Other Punctuation 1961
 
5.6%
Close Punctuation 800
 
2.3%
Open Punctuation 800
 
2.3%
Dash Punctuation 183
 
0.5%
Uppercase Letter 29
 
0.1%
Math Symbol 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1382
 
7.2%
청 1317
 
6.9%
충 1284
 
6.7%
도 1226
 
6.4%
로 1008
 
5.3%
시 985
 
5.1%
동 890
 
4.6%
산 593
 
3.1%
천 569
 
3.0%
안 470
 
2.5%
Other values (309) 9455
49.3%
Uppercase Letter
ValueCountFrequency (%)
S 5
17.2%
B 4
13.8%
A 3
10.3%
J 2
 
6.9%
U 2
 
6.9%
C 2
 
6.9%
T 2
 
6.9%
Y 2
 
6.9%
I 2
 
6.9%
M 1
 
3.4%
Other values (4) 4
13.8%
Decimal Number
ValueCountFrequency (%)
4 1731
29.6%
1 1080
18.4%
2 688
 
11.8%
3 553
 
9.4%
0 385
 
6.6%
5 346
 
5.9%
6 300
 
5.1%
8 289
 
4.9%
9 247
 
4.2%
7 235
 
4.0%
Other Punctuation
ValueCountFrequency (%)
& 652
33.2%
# 651
33.2%
; 651
33.2%
. 5
 
0.3%
· 2
 
0.1%
Space Separator
ValueCountFrequency (%)
5973
100.0%
Close Punctuation
ValueCountFrequency (%)
) 800
100.0%
Open Punctuation
ValueCountFrequency (%)
( 800
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19179
55.1%
Common 15598
44.8%
Latin 29
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1382
 
7.2%
청 1317
 
6.9%
충 1284
 
6.7%
도 1226
 
6.4%
로 1008
 
5.3%
시 985
 
5.1%
동 890
 
4.6%
산 593
 
3.1%
천 569
 
3.0%
안 470
 
2.5%
Other values (309) 9455
49.3%
Common
ValueCountFrequency (%)
5973
38.3%
4 1731
 
11.1%
1 1080
 
6.9%
) 800
 
5.1%
( 800
 
5.1%
2 688
 
4.4%
& 652
 
4.2%
# 651
 
4.2%
; 651
 
4.2%
3 553
 
3.5%
Other values (10) 2019
 
12.9%
Latin
ValueCountFrequency (%)
S 5
17.2%
B 4
13.8%
A 3
10.3%
J 2
 
6.9%
U 2
 
6.9%
C 2
 
6.9%
T 2
 
6.9%
Y 2
 
6.9%
I 2
 
6.9%
M 1
 
3.4%
Other values (4) 4
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19179
55.1%
ASCII 15625
44.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5973
38.2%
4 1731
 
11.1%
1 1080
 
6.9%
) 800
 
5.1%
( 800
 
5.1%
2 688
 
4.4%
& 652
 
4.2%
# 651
 
4.2%
; 651
 
4.2%
3 553
 
3.5%
Other values (23) 2046
 
13.1%
Hangul
ValueCountFrequency (%)
남 1382
 
7.2%
청 1317
 
6.9%
충 1284
 
6.7%
도 1226
 
6.4%
로 1008
 
5.3%
시 985
 
5.1%
동 890
 
4.6%
산 593
 
3.1%
천 569
 
3.0%
안 470
 
2.5%
Other values (309) 9455
49.3%
None
ValueCountFrequency (%)
· 2
100.0%

명절비상진료시간2
Text

Distinct1068
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-01-10T04:53:12.404555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length6.4480198
Min length3

Characters and Unicode

Total characters7815
Distinct characters384
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique972 ?
Unique (%)80.2%

Sample

1st row123한의원
2nd row365스마일약국
3rd row365열린메디컬의원
4th row365열린약국
5th row365열린약국
ValueCountFrequency (%)
중앙약국 8
 
0.7%
서울한의원 6
 
0.5%
우리약국 5
 
0.4%
고려한의원 4
 
0.3%
서울의원 4
 
0.3%
서울치과의원 4
 
0.3%
신세계약국 4
 
0.3%
감초당한의원 4
 
0.3%
시민약국 4
 
0.3%
푸른약국 4
 
0.3%
Other values (1069) 1179
96.2%
2024-01-10T04:53:12.721669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 754
 
9.6%
의 742
 
9.5%
약 437
 
5.6%
국 435
 
5.6%
과 395
 
5.1%
한 250
 
3.2%
소 139
 
1.8%
정 103
 
1.3%
치 103
 
1.3%
이 100
 
1.3%
Other values (374) 4357
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7741
99.1%
Decimal Number 45
 
0.6%
Space Separator 14
 
0.2%
Uppercase Letter 9
 
0.1%
Other Punctuation 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 754
 
9.7%
의 742
 
9.6%
약 437
 
5.6%
국 435
 
5.6%
과 395
 
5.1%
한 250
 
3.2%
소 139
 
1.8%
정 103
 
1.3%
치 103
 
1.3%
이 100
 
1.3%
Other values (355) 4283
55.3%
Decimal Number
ValueCountFrequency (%)
6 12
26.7%
3 12
26.7%
5 11
24.4%
2 3
 
6.7%
1 3
 
6.7%
9 2
 
4.4%
8 2
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
J 3
33.3%
D 2
22.2%
G 1
 
11.1%
E 1
 
11.1%
N 1
 
11.1%
S 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
. 1
33.3%
: 1
33.3%
Space Separator
ValueCountFrequency (%)
14
100.0%
Lowercase Letter
ValueCountFrequency (%)
r 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7741
99.1%
Common 63
 
0.8%
Latin 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 754
 
9.7%
의 742
 
9.6%
약 437
 
5.6%
국 435
 
5.6%
과 395
 
5.1%
한 250
 
3.2%
소 139
 
1.8%
정 103
 
1.3%
치 103
 
1.3%
이 100
 
1.3%
Other values (355) 4283
55.3%
Common
ValueCountFrequency (%)
14
22.2%
6 12
19.0%
3 12
19.0%
5 11
17.5%
2 3
 
4.8%
1 3
 
4.8%
9 2
 
3.2%
8 2
 
3.2%
) 1
 
1.6%
& 1
 
1.6%
Other values (2) 2
 
3.2%
Latin
ValueCountFrequency (%)
J 3
27.3%
D 2
18.2%
r 2
18.2%
G 1
 
9.1%
E 1
 
9.1%
N 1
 
9.1%
S 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7741
99.1%
ASCII 74
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 754
 
9.7%
의 742
 
9.6%
약 437
 
5.6%
국 435
 
5.6%
과 395
 
5.1%
한 250
 
3.2%
소 139
 
1.8%
정 103
 
1.3%
치 103
 
1.3%
이 100
 
1.3%
Other values (355) 4283
55.3%
ASCII
ValueCountFrequency (%)
14
18.9%
6 12
16.2%
3 12
16.2%
5 11
14.9%
2 3
 
4.1%
1 3
 
4.1%
J 3
 
4.1%
9 2
 
2.7%
D 2
 
2.7%
8 2
 
2.7%
Other values (9) 10
13.5%

명절비상진료시간3
Text

MISSING 

Distinct72
Distinct (%)26.3%
Missing938
Missing (%)77.4%
Memory size9.6 KiB
2024-01-10T04:53:12.903198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.463504
Min length4

Characters and Unicode

Total characters2867
Distinct characters19
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

Unique30 ?
Unique (%)10.9%

Sample

1st row10:00~21:00
2nd row10:00~21:00
3rd row10:00~21:00
4th row09:00~23:00
5th row09:00~22:00
ValueCountFrequency (%)
09:00~18:00 33
 
12.0%
09:00~13:00 23
 
8.4%
응급실운영 21
 
7.7%
09:00~17:00 13
 
4.7%
09:00~22:00 9
 
3.3%
09:00~21:00 9
 
3.3%
09:00~14:00 9
 
3.3%
09:00~19:00 8
 
2.9%
08:00~13:00 7
 
2.6%
08:30~13:00 7
 
2.6%
Other values (62) 135
49.3%
2024-01-10T04:53:13.178937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1209
42.2%
: 500
17.4%
1 257
 
9.0%
~ 250
 
8.7%
9 163
 
5.7%
8 110
 
3.8%
3 102
 
3.6%
2 101
 
3.5%
응 24
 
0.8%
급 24
 
0.8%
Other values (9) 127
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2000
69.8%
Other Punctuation 500
 
17.4%
Math Symbol 250
 
8.7%
Other Letter 117
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1209
60.5%
1 257
 
12.8%
9 163
 
8.2%
8 110
 
5.5%
3 102
 
5.1%
2 101
 
5.1%
7 20
 
1.0%
4 14
 
0.7%
5 13
 
0.7%
6 11
 
0.5%
Other Letter
ValueCountFrequency (%)
응 24
20.5%
급 24
20.5%
영 21
17.9%
실 21
17.9%
운 21
17.9%
분 3
 
2.6%
만 3
 
2.6%
Other Punctuation
ValueCountFrequency (%)
: 500
100.0%
Math Symbol
ValueCountFrequency (%)
~ 250
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2750
95.9%
Hangul 117
 
4.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1209
44.0%
: 500
18.2%
1 257
 
9.3%
~ 250
 
9.1%
9 163
 
5.9%
8 110
 
4.0%
3 102
 
3.7%
2 101
 
3.7%
7 20
 
0.7%
4 14
 
0.5%
Other values (2) 24
 
0.9%
Hangul
ValueCountFrequency (%)
응 24
20.5%
급 24
20.5%
영 21
17.9%
실 21
17.9%
운 21
17.9%
분 3
 
2.6%
만 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2750
95.9%
Hangul 117
 
4.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1209
44.0%
: 500
18.2%
1 257
 
9.3%
~ 250
 
9.1%
9 163
 
5.9%
8 110
 
4.0%
3 102
 
3.7%
2 101
 
3.7%
7 20
 
0.7%
4 14
 
0.5%
Other values (2) 24
 
0.9%
Hangul
ValueCountFrequency (%)
응 24
20.5%
급 24
20.5%
영 21
17.9%
실 21
17.9%
운 21
17.9%
분 3
 
2.6%
만 3
 
2.6%

명절비상진료시간4
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-10-02
1212 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-02
2nd row2023-10-02
3rd row2023-10-02
4th row2023-10-02
5th row2023-10-02

Common Values

ValueCountFrequency (%)
2023-10-02 1212
100.0%

Length

2024-01-10T04:53:13.285336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:53:13.353506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-02 1212
100.0%

Correlations

2024-01-10T04:53:13.397054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명기관ID명절비상진료일자2비고명절비상진료시간3
기관명1.0001.0000.8980.9750.893
기관ID1.0001.0000.8980.9750.893
명절비상진료일자20.8980.8981.0000.0000.999
비고0.9750.9750.0001.0000.000
명절비상진료시간30.8930.8930.9990.0001.000
2024-01-10T04:53:13.472010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관ID기관명비고
기관ID1.0001.0000.810
기관명1.0001.0000.810
비고0.8100.8101.000
2024-01-10T04:53:13.538326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명기관ID비고
기관명1.0001.0000.810
기관ID1.0001.0000.810
비고0.8100.8101.000

Missing values

2024-01-10T04:53:07.927441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:53:08.074584image/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.
2024-01-10T04:53:08.180200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

주소병원분류병원분류명기관명대표전화1기관ID명절비상진료일자1명절비상진료일자2명절비상진료일자3명절비상진료일자4비고명절비상진료시간1명절비상진료시간2명절비상진료시간3명절비상진료시간4
0<NA>2023-09-3008:30~19:00한의원B2400679G2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 천안시 서북구 입장면 입장로 128&#44; 1층123한의원<NA>2023-10-02
109:00~21:002023-09-3009:00~21:00약국C2401380H2023-09-2809:00~21:002023-09-292023-10-01<NA>충청남도 홍성군 홍북읍 홍학로 95365스마일약국10:00~21:002023-10-02
210:00~21:002023-09-3010:00~21:00의원A2402469C2023-09-2810:00~21:002023-09-292023-10-01<NA>충청남도 천안시 서북구 쌍용대로 348&#44; 1&#44; 2층 (성정동)365열린메디컬의원10:00~21:002023-10-02
3<NA>2023-09-3009:00~15:00약국C2401397H2023-09-28<NA>2023-09-292023-10-01코로나19 먹는 치료제 조제가능충청남도 아산시 번영로 223&#44; 4층 (모종동&#44; 아산동양고속터미널복합시설)365열린약국<NA>2023-10-02
410:00~21:002023-09-3010:00~21:00약국C2401408H2023-09-2810:00~21:002023-09-292023-10-01<NA>충청남도 천안시 서북구 쌍용대로 348&#44; 102호 (성정동)365열린약국10:00~21:002023-10-02
509:00~23:002023-09-3009:00~23:00의원A2400221C2023-09-2809:00~23:002023-09-292023-10-01코로나19 먹는 치료제 처방충청남도 천안시 서북구 충무로 172&#44; 2&#44;3&#44;5층 (쌍용동&#44; 범양건영)365웰니스의원09:00~23:002023-10-02
609:00~16:002023-09-3009:00~20:00한의원B2400795G2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 당진시 북문길 1-12&#44; 202~216호 (읍내동&#44; 당진안신타워)365한의원<NA>2023-10-02
708:30~14:302023-09-3008:30~14:30한의원B2400211G2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 홍성군 홍성읍 아문길29번길 853쾌경희한의원<NA>2023-10-02
809:00~22:002023-09-3009:00~22:00약국C2401723H2023-09-2809:00~22:002023-09-292023-10-01<NA>충청남도 천안시 서북구 쌍용대로 292&#44; 금정빌딩 1층 (성정동)6단지약국09:00~22:002023-10-02
9<NA>2023-09-3009:00~18:00병원A2402700B2023-09-28<NA>2023-09-292023-10-01코로나19 먹는 치료제 처방가능충청남도 당진시 운학길 3-0 (채운동)9988병원<NA>2023-10-02
주소병원분류병원분류명기관명대표전화1기관ID명절비상진료일자1명절비상진료일자2명절비상진료일자3명절비상진료일자4비고명절비상진료시간1명절비상진료시간2명절비상진료시간3명절비상진료시간4
120209:00~17:002023-09-3009:00~17:00약국C2400707H2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 논산시 연무읍 고내곡로 5 (연무읍)황화약국<NA>2023-10-02
1203<NA>2023-09-3008:00~18:00약국C2400732H2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 논산시 강경읍 황산길 8 (강경읍)효약국<NA>2023-10-02
1204<NA>2023-09-3009:00~18:30약국C2400565H2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 부여군 부여읍 성왕로 226흥부약국<NA>2023-10-02
120509:20~19:002023-09-3009:20~19:00약국C2400578H2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 당진시 당진중앙2로 59-13흥아약국<NA>2023-10-02
120609:00~13:002023-09-3009:00~13:00약국C2401247H2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 천안시 서북구 쌍용대로 8 (쌍용동)희망약국<NA>2023-10-02
120708:00~12:002023-09-3008:00~12:00약국C2401710H2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 태안군 안면읍 구억말길 14-3&#44; 1층 1호희망약국<NA>2023-10-02
1208<NA>2023-09-30<NA>약국C2400388H2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 서천군 서천읍 충절로59번길 18희망찬약국<NA>2023-10-02
1209<NA>2023-09-3009:00~18:00의원A2402178C2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 서산시 율지11로 11&#44; 4층 (동문동)힘센마디의원<NA>2023-10-02
121008:30~12:302023-09-3008:30~17:30한의원B2400119G2023-09-28<NA>2023-09-292023-10-01<NA>충청남도 논산시 중앙로491번길 12 (화지동)힘센한의원<NA>2023-10-02
121109:00~18:002023-09-3009:00~18:00약국C2401590H2023-09-2809:00~18:002023-09-292023-10-01<NA>충청남도 천안시 동남구 터미널9길 50&#44; 에이스빌딩 1층 (신부동)힘찬약국09:00~18:002023-10-02