Overview

Dataset statistics

Number of variables13
Number of observations315
Missing cells313
Missing cells (%)7.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.1 KiB
Average record size in memory104.4 B

Variable types

Categorical3
Text10

Dataset

Description울산광역시 중구에서 운영중인 평일야간 및 휴일에 운영하는 의료 기관 현황입니다. 해당 목록은 휴일에 진료하는 의료기관명, 주소, 운영시간 등의 데이터를 포함하고 있습니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15054872/fileData.do

Alerts

구군 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공휴일 진료 is highly imbalanced (65.8%)Imbalance
토요일 진료 has 23 (7.3%) missing valuesMissing
일요일 진료 has 290 (92.1%) missing valuesMissing

Reproduction

Analysis started2024-03-14 20:57:54.025009
Analysis finished2024-03-14 20:57:56.897758
Duration2.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
중구
315 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 315
100.0%

Length

2024-03-15T05:57:57.010486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:57:57.195265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 315
100.0%

병원명
Text

Distinct314
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T05:57:58.043054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.5365079
Min length3

Characters and Unicode

Total characters2059
Distinct characters262
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)99.4%

Sample

1st row유성병원
2nd row강서정형외과의원
3rd row튼튼소아청소년과의원
4th row맘스여성병원
5th row울산H병원
ValueCountFrequency (%)
한의원 3
 
0.9%
다정약국 2
 
0.6%
영제한의원 1
 
0.3%
이세한의원 1
 
0.3%
동국한의원 1
 
0.3%
최동훈한의원 1
 
0.3%
정성한의원 1
 
0.3%
장수한의원 1
 
0.3%
공덕한의원 1
 
0.3%
선재한의원 1
 
0.3%
Other values (307) 307
95.9%
2024-03-15T05:57:59.134317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 242
 
11.8%
원 238
 
11.6%
과 150
 
7.3%
국 87
 
4.2%
약 84
 
4.1%
치 70
 
3.4%
한 65
 
3.2%
정 42
 
2.0%
이 35
 
1.7%
성 23
 
1.1%
Other values (252) 1023
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2049
99.5%
Space Separator 5
 
0.2%
Decimal Number 3
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 242
 
11.8%
원 238
 
11.6%
과 150
 
7.3%
국 87
 
4.2%
약 84
 
4.1%
치 70
 
3.4%
한 65
 
3.2%
정 42
 
2.0%
이 35
 
1.7%
성 23
 
1.1%
Other values (246) 1013
49.4%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
6 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2049
99.5%
Common 8
 
0.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 242
 
11.8%
원 238
 
11.6%
과 150
 
7.3%
국 87
 
4.2%
약 84
 
4.1%
치 70
 
3.4%
한 65
 
3.2%
정 42
 
2.0%
이 35
 
1.7%
성 23
 
1.1%
Other values (246) 1013
49.4%
Common
ValueCountFrequency (%)
5
62.5%
3 1
 
12.5%
5 1
 
12.5%
6 1
 
12.5%
Latin
ValueCountFrequency (%)
H 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2049
99.5%
ASCII 10
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 242
 
11.8%
원 238
 
11.6%
과 150
 
7.3%
국 87
 
4.2%
약 84
 
4.1%
치 70
 
3.4%
한 65
 
3.2%
정 42
 
2.0%
이 35
 
1.7%
성 23
 
1.1%
Other values (246) 1013
49.4%
ASCII
ValueCountFrequency (%)
5
50.0%
3 1
 
10.0%
H 1
 
10.0%
5 1
 
10.0%
6 1
 
10.0%
S 1
 
10.0%

주소
Text

Distinct293
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T05:58:00.490669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44
Mean length25.933333
Min length20

Characters and Unicode

Total characters8169
Distinct characters166
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)86.7%

Sample

1st row울산광역시 중구 장춘로 169 (학산동)
2nd row울산광역시 중구 북부순환도로 107 (다운동)
3rd row울산광역시 중구 번영로 590, 5층 (남외동)
4th row울산광역시 중구 남외2길 36 (남외동)
5th row울산광역시 중구 화합로 363 (반구동)
ValueCountFrequency (%)
울산광역시 315
 
17.3%
중구 315
 
17.3%
번영로 81
 
4.4%
남외동 65
 
3.6%
2층 43
 
2.4%
태화동 41
 
2.2%
1층 41
 
2.2%
반구동 40
 
2.2%
학성로 38
 
2.1%
옥교동 26
 
1.4%
Other values (307) 821
45.0%
2024-03-15T05:58:02.284858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1511
18.5%
구 362
 
4.4%
산 353
 
4.3%
동 333
 
4.1%
중 320
 
3.9%
울 318
 
3.9%
시 318
 
3.9%
( 316
 
3.9%
) 316
 
3.9%
역 315
 
3.9%
Other values (156) 3707
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4537
55.5%
Space Separator 1511
 
18.5%
Decimal Number 1163
 
14.2%
Open Punctuation 316
 
3.9%
Close Punctuation 316
 
3.9%
Other Punctuation 249
 
3.0%
Uppercase Letter 36
 
0.4%
Dash Punctuation 21
 
0.3%
Lowercase Letter 14
 
0.2%
Math Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 362
 
8.0%
산 353
 
7.8%
동 333
 
7.3%
중 320
 
7.1%
울 318
 
7.0%
시 318
 
7.0%
역 315
 
6.9%
광 315
 
6.9%
로 241
 
5.3%
층 160
 
3.5%
Other values (126) 1502
33.1%
Uppercase Letter
ValueCountFrequency (%)
M 11
30.6%
S 9
25.0%
G 3
 
8.3%
N 2
 
5.6%
U 2
 
5.6%
L 2
 
5.6%
F 2
 
5.6%
A 1
 
2.8%
C 1
 
2.8%
E 1
 
2.8%
Other values (2) 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 250
21.5%
2 166
14.3%
5 126
10.8%
4 110
9.5%
0 102
8.8%
6 99
 
8.5%
3 95
 
8.2%
7 92
 
7.9%
8 76
 
6.5%
9 47
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
k 7
50.0%
y 7
50.0%
Space Separator
ValueCountFrequency (%)
1511
100.0%
Open Punctuation
ValueCountFrequency (%)
( 316
100.0%
Close Punctuation
ValueCountFrequency (%)
) 316
100.0%
Other Punctuation
ValueCountFrequency (%)
, 249
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4537
55.5%
Common 3582
43.8%
Latin 50
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 362
 
8.0%
산 353
 
7.8%
동 333
 
7.3%
중 320
 
7.1%
울 318
 
7.0%
시 318
 
7.0%
역 315
 
6.9%
광 315
 
6.9%
로 241
 
5.3%
층 160
 
3.5%
Other values (126) 1502
33.1%
Common
ValueCountFrequency (%)
1511
42.2%
( 316
 
8.8%
) 316
 
8.8%
1 250
 
7.0%
, 249
 
7.0%
2 166
 
4.6%
5 126
 
3.5%
4 110
 
3.1%
0 102
 
2.8%
6 99
 
2.8%
Other values (6) 337
 
9.4%
Latin
ValueCountFrequency (%)
M 11
22.0%
S 9
18.0%
k 7
14.0%
y 7
14.0%
G 3
 
6.0%
N 2
 
4.0%
U 2
 
4.0%
L 2
 
4.0%
F 2
 
4.0%
A 1
 
2.0%
Other values (4) 4
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4537
55.5%
ASCII 3632
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1511
41.6%
( 316
 
8.7%
) 316
 
8.7%
1 250
 
6.9%
, 249
 
6.9%
2 166
 
4.6%
5 126
 
3.5%
4 110
 
3.0%
0 102
 
2.8%
6 99
 
2.7%
Other values (20) 387
 
10.7%
Hangul
ValueCountFrequency (%)
구 362
 
8.0%
산 353
 
7.8%
동 333
 
7.3%
중 320
 
7.1%
울 318
 
7.0%
시 318
 
7.0%
역 315
 
6.9%
광 315
 
6.9%
로 241
 
5.3%
층 160
 
3.5%
Other values (126) 1502
33.1%

월요일 진료
Text

Distinct52
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T05:58:03.008247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3465
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

Unique24 ?
Unique (%)7.6%

Sample

1st row09:00~18:00
2nd row08:30~18:00
3rd row09:00~19:00
4th row09:00~19:00
5th row09:00~18:00
ValueCountFrequency (%)
09:00~18:00 40
12.7%
09:00~19:00 40
12.7%
09:30~18:30 35
11.1%
09:00~18:30 33
 
10.5%
09:30~18:00 19
 
6.0%
09:00~20:00 17
 
5.4%
09:30~19:00 17
 
5.4%
08:30~18:00 10
 
3.2%
10:00~18:30 9
 
2.9%
10:00~19:00 8
 
2.5%
Other values (42) 87
27.6%
2024-03-15T05:58:03.923046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1362
39.3%
: 630
18.2%
9 333
 
9.6%
1 319
 
9.2%
~ 315
 
9.1%
3 232
 
6.7%
8 197
 
5.7%
2 43
 
1.2%
7 19
 
0.5%
6 6
 
0.2%
Other values (2) 9
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2520
72.7%
Other Punctuation 630
 
18.2%
Math Symbol 315
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1362
54.0%
9 333
 
13.2%
1 319
 
12.7%
3 232
 
9.2%
8 197
 
7.8%
2 43
 
1.7%
7 19
 
0.8%
6 6
 
0.2%
4 5
 
0.2%
5 4
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 630
100.0%
Math Symbol
ValueCountFrequency (%)
~ 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3465
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1362
39.3%
: 630
18.2%
9 333
 
9.6%
1 319
 
9.2%
~ 315
 
9.1%
3 232
 
6.7%
8 197
 
5.7%
2 43
 
1.2%
7 19
 
0.5%
6 6
 
0.2%
Other values (2) 9
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3465
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1362
39.3%
: 630
18.2%
9 333
 
9.6%
1 319
 
9.2%
~ 315
 
9.1%
3 232
 
6.7%
8 197
 
5.7%
2 43
 
1.2%
7 19
 
0.5%
6 6
 
0.2%
Other values (2) 9
 
0.3%

화요일 진료
Text

Distinct52
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T05:58:04.900382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3465
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

Unique20 ?
Unique (%)6.3%

Sample

1st row09:00~18:00
2nd row08:30~20:00
3rd row09:00~19:00
4th row09:00~19:00
5th row09:00~18:00
ValueCountFrequency (%)
09:00~19:00 40
12.7%
09:00~18:00 38
12.1%
09:00~18:30 35
 
11.1%
09:30~18:30 32
 
10.2%
09:30~18:00 19
 
6.0%
09:00~20:00 17
 
5.4%
09:30~19:00 16
 
5.1%
10:00~18:30 9
 
2.9%
08:30~18:00 8
 
2.5%
09:00~21:00 8
 
2.5%
Other values (42) 93
29.5%
2024-03-15T05:58:06.898127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1362
39.3%
: 630
18.2%
9 332
 
9.6%
~ 315
 
9.1%
1 314
 
9.1%
3 238
 
6.9%
8 192
 
5.5%
2 49
 
1.4%
7 19
 
0.5%
4 6
 
0.2%
Other values (2) 8
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2520
72.7%
Other Punctuation 630
 
18.2%
Math Symbol 315
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1362
54.0%
9 332
 
13.2%
1 314
 
12.5%
3 238
 
9.4%
8 192
 
7.6%
2 49
 
1.9%
7 19
 
0.8%
4 6
 
0.2%
6 5
 
0.2%
5 3
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 630
100.0%
Math Symbol
ValueCountFrequency (%)
~ 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3465
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1362
39.3%
: 630
18.2%
9 332
 
9.6%
~ 315
 
9.1%
1 314
 
9.1%
3 238
 
6.9%
8 192
 
5.5%
2 49
 
1.4%
7 19
 
0.5%
4 6
 
0.2%
Other values (2) 8
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3465
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1362
39.3%
: 630
18.2%
9 332
 
9.6%
~ 315
 
9.1%
1 314
 
9.1%
3 238
 
6.9%
8 192
 
5.5%
2 49
 
1.4%
7 19
 
0.5%
4 6
 
0.2%
Other values (2) 8
 
0.2%

수요일 진료
Text

Distinct65
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T05:58:08.200387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.911111
Min length4

Characters and Unicode

Total characters3437
Distinct characters16
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

Unique26 ?
Unique (%)8.3%

Sample

1st row09:00~18:00
2nd row08:30~12:00
3rd row09:00~19:00
4th row09:00~19:00
5th row09:00~18:00
ValueCountFrequency (%)
09:00~19:00 38
 
12.1%
09:00~18:00 32
 
10.2%
09:30~18:30 31
 
9.8%
09:00~18:30 28
 
8.9%
09:00~20:00 17
 
5.4%
09:30~19:00 16
 
5.1%
09:30~18:00 13
 
4.1%
09:00~13:00 11
 
3.5%
09:00~21:00 8
 
2.5%
08:30~18:00 8
 
2.5%
Other values (55) 113
35.9%
2024-03-15T05:58:09.715119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1347
39.2%
: 622
18.1%
9 322
 
9.4%
1 312
 
9.1%
~ 311
 
9.0%
3 241
 
7.0%
8 171
 
5.0%
2 56
 
1.6%
7 18
 
0.5%
4 13
 
0.4%
Other values (6) 24
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2488
72.4%
Other Punctuation 622
 
18.1%
Math Symbol 311
 
9.0%
Other Letter 16
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1347
54.1%
9 322
 
12.9%
1 312
 
12.5%
3 241
 
9.7%
8 171
 
6.9%
2 56
 
2.3%
7 18
 
0.7%
4 13
 
0.5%
6 5
 
0.2%
5 3
 
0.1%
Other Letter
ValueCountFrequency (%)
정 4
25.0%
기 4
25.0%
휴 4
25.0%
무 4
25.0%
Other Punctuation
ValueCountFrequency (%)
: 622
100.0%
Math Symbol
ValueCountFrequency (%)
~ 311
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3421
99.5%
Hangul 16
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1347
39.4%
: 622
18.2%
9 322
 
9.4%
1 312
 
9.1%
~ 311
 
9.1%
3 241
 
7.0%
8 171
 
5.0%
2 56
 
1.6%
7 18
 
0.5%
4 13
 
0.4%
Other values (2) 8
 
0.2%
Hangul
ValueCountFrequency (%)
정 4
25.0%
기 4
25.0%
휴 4
25.0%
무 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3421
99.5%
Hangul 16
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1347
39.4%
: 622
18.2%
9 322
 
9.4%
1 312
 
9.1%
~ 311
 
9.1%
3 241
 
7.0%
8 171
 
5.0%
2 56
 
1.6%
7 18
 
0.5%
4 13
 
0.4%
Other values (2) 8
 
0.2%
Hangul
ValueCountFrequency (%)
정 4
25.0%
기 4
25.0%
휴 4
25.0%
무 4
25.0%

목요일 진료
Text

Distinct64
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T05:58:10.565335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length10.911111
Min length4

Characters and Unicode

Total characters3437
Distinct characters16
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

Unique27 ?
Unique (%)8.6%

Sample

1st row09:00~18:00
2nd row08:30~18:00
3rd row09:00~19:00
4th row09:00~19:00
5th row09:00~18:00
ValueCountFrequency (%)
09:00~19:00 37
 
11.7%
09:00~18:00 36
 
11.4%
09:00~18:30 31
 
9.8%
09:30~18:30 26
 
8.3%
09:00~20:00 17
 
5.4%
09:30~18:00 16
 
5.1%
09:30~19:00 11
 
3.5%
08:30~18:00 8
 
2.5%
10:00~18:30 7
 
2.2%
09:00~21:00 7
 
2.2%
Other values (54) 119
37.8%
2024-03-15T05:58:11.668792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1343
39.1%
: 622
18.1%
1 323
 
9.4%
~ 311
 
9.0%
9 309
 
9.0%
3 225
 
6.5%
8 180
 
5.2%
2 58
 
1.7%
4 23
 
0.7%
7 19
 
0.6%
Other values (6) 24
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2488
72.4%
Other Punctuation 622
 
18.1%
Math Symbol 311
 
9.0%
Other Letter 16
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1343
54.0%
1 323
 
13.0%
9 309
 
12.4%
3 225
 
9.0%
8 180
 
7.2%
2 58
 
2.3%
4 23
 
0.9%
7 19
 
0.8%
6 4
 
0.2%
5 4
 
0.2%
Other Letter
ValueCountFrequency (%)
정 4
25.0%
기 4
25.0%
휴 4
25.0%
무 4
25.0%
Other Punctuation
ValueCountFrequency (%)
: 622
100.0%
Math Symbol
ValueCountFrequency (%)
~ 311
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3421
99.5%
Hangul 16
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1343
39.3%
: 622
18.2%
1 323
 
9.4%
~ 311
 
9.1%
9 309
 
9.0%
3 225
 
6.6%
8 180
 
5.3%
2 58
 
1.7%
4 23
 
0.7%
7 19
 
0.6%
Other values (2) 8
 
0.2%
Hangul
ValueCountFrequency (%)
정 4
25.0%
기 4
25.0%
휴 4
25.0%
무 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3421
99.5%
Hangul 16
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1343
39.3%
: 622
18.2%
1 323
 
9.4%
~ 311
 
9.1%
9 309
 
9.0%
3 225
 
6.6%
8 180
 
5.3%
2 58
 
1.7%
4 23
 
0.7%
7 19
 
0.6%
Other values (2) 8
 
0.2%
Hangul
ValueCountFrequency (%)
정 4
25.0%
기 4
25.0%
휴 4
25.0%
무 4
25.0%

금요일 진료
Text

Distinct55
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T05:58:12.476104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3465
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

Unique25 ?
Unique (%)7.9%

Sample

1st row09:00~18:00
2nd row08:30~18:00
3rd row09:00~19:00
4th row09:00~19:00
5th row09:00~18:00
ValueCountFrequency (%)
09:00~19:00 40
12.7%
09:00~18:00 38
12.1%
09:00~18:30 34
 
10.8%
09:30~18:30 34
 
10.8%
09:30~18:00 19
 
6.0%
09:00~20:00 17
 
5.4%
09:30~19:00 16
 
5.1%
08:30~18:00 10
 
3.2%
09:00~21:00 8
 
2.5%
10:00~18:30 8
 
2.5%
Other values (45) 91
28.9%
2024-03-15T05:58:13.631007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1361
39.3%
: 630
18.2%
9 332
 
9.6%
1 320
 
9.2%
~ 315
 
9.1%
3 233
 
6.7%
8 196
 
5.7%
2 45
 
1.3%
7 18
 
0.5%
6 5
 
0.1%
Other values (2) 10
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2520
72.7%
Other Punctuation 630
 
18.2%
Math Symbol 315
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1361
54.0%
9 332
 
13.2%
1 320
 
12.7%
3 233
 
9.2%
8 196
 
7.8%
2 45
 
1.8%
7 18
 
0.7%
6 5
 
0.2%
4 5
 
0.2%
5 5
 
0.2%
Other Punctuation
ValueCountFrequency (%)
: 630
100.0%
Math Symbol
ValueCountFrequency (%)
~ 315
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3465
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1361
39.3%
: 630
18.2%
9 332
 
9.6%
1 320
 
9.2%
~ 315
 
9.1%
3 233
 
6.7%
8 196
 
5.7%
2 45
 
1.3%
7 18
 
0.5%
6 5
 
0.1%
Other values (2) 10
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3465
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1361
39.3%
: 630
18.2%
9 332
 
9.6%
1 320
 
9.2%
~ 315
 
9.1%
3 233
 
6.7%
8 196
 
5.7%
2 45
 
1.3%
7 18
 
0.5%
6 5
 
0.1%
Other values (2) 10
 
0.3%

토요일 진료
Text

MISSING 

Distinct56
Distinct (%)19.2%
Missing23
Missing (%)7.3%
Memory size2.6 KiB
2024-03-15T05:58:14.602599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3212
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

Unique21 ?
Unique (%)7.2%

Sample

1st row09:00~13:00
2nd row08:30~12:00
3rd row09:00~13:00
4th row09:00~16:00
5th row09:00~13:00
ValueCountFrequency (%)
09:00~13:00 63
21.6%
09:30~13:00 19
 
6.5%
09:00~14:00 16
 
5.5%
09:30~14:00 15
 
5.1%
09:00~16:00 13
 
4.5%
09:30~12:00 12
 
4.1%
09:30~12:30 12
 
4.1%
09:00~15:00 9
 
3.1%
09:30~13:30 9
 
3.1%
09:00~13:30 9
 
3.1%
Other values (46) 115
39.4%
2024-03-15T05:58:15.979003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1291
40.2%
: 584
18.2%
1 313
 
9.7%
3 296
 
9.2%
~ 292
 
9.1%
9 244
 
7.6%
2 55
 
1.7%
4 45
 
1.4%
8 39
 
1.2%
6 25
 
0.8%
Other values (2) 28
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2336
72.7%
Other Punctuation 584
 
18.2%
Math Symbol 292
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1291
55.3%
1 313
 
13.4%
3 296
 
12.7%
9 244
 
10.4%
2 55
 
2.4%
4 45
 
1.9%
8 39
 
1.7%
6 25
 
1.1%
5 19
 
0.8%
7 9
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 584
100.0%
Math Symbol
ValueCountFrequency (%)
~ 292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3212
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1291
40.2%
: 584
18.2%
1 313
 
9.7%
3 296
 
9.2%
~ 292
 
9.1%
9 244
 
7.6%
2 55
 
1.7%
4 45
 
1.4%
8 39
 
1.2%
6 25
 
0.8%
Other values (2) 28
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1291
40.2%
: 584
18.2%
1 313
 
9.7%
3 296
 
9.2%
~ 292
 
9.1%
9 244
 
7.6%
2 55
 
1.7%
4 45
 
1.4%
8 39
 
1.2%
6 25
 
0.8%
Other values (2) 28
 
0.9%

일요일 진료
Text

MISSING 

Distinct15
Distinct (%)60.0%
Missing290
Missing (%)92.1%
Memory size2.6 KiB
2024-03-15T05:58:16.631006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters275
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

Unique12 ?
Unique (%)48.0%

Sample

1st row09:00~13:00
2nd row09:00~18:00
3rd row10:00~16:00
4th row10:00~17:00
5th row08:00~13:00
ValueCountFrequency (%)
09:00~13:00 9
36.0%
09:00~18:00 2
 
8.0%
08:00~13:00 2
 
8.0%
10:00~16:00 1
 
4.0%
10:00~17:00 1
 
4.0%
09:30~13:00 1
 
4.0%
13:00~18:00 1
 
4.0%
09:00~16:00 1
 
4.0%
11:00~20:00 1
 
4.0%
14:00~22:00 1
 
4.0%
Other values (5) 5
20.0%
2024-03-15T05:58:17.689358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 119
43.3%
: 50
18.2%
1 28
 
10.2%
~ 25
 
9.1%
9 17
 
6.2%
3 15
 
5.5%
2 10
 
3.6%
8 5
 
1.8%
6 2
 
0.7%
7 2
 
0.7%
Other values (2) 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
72.7%
Other Punctuation 50
 
18.2%
Math Symbol 25
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 119
59.5%
1 28
 
14.0%
9 17
 
8.5%
3 15
 
7.5%
2 10
 
5.0%
8 5
 
2.5%
6 2
 
1.0%
7 2
 
1.0%
4 1
 
0.5%
5 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 275
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 119
43.3%
: 50
18.2%
1 28
 
10.2%
~ 25
 
9.1%
9 17
 
6.2%
3 15
 
5.5%
2 10
 
3.6%
8 5
 
1.8%
6 2
 
0.7%
7 2
 
0.7%
Other values (2) 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 119
43.3%
: 50
18.2%
1 28
 
10.2%
~ 25
 
9.1%
9 17
 
6.2%
3 15
 
5.5%
2 10
 
3.6%
8 5
 
1.8%
6 2
 
0.7%
7 2
 
0.7%
Other values (2) 2
 
0.7%

공휴일 진료
Categorical

IMBALANCE 

Distinct27
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
242 
09:00~13:00
27 
09:00~19:00
 
7
09:00~14:00
 
5
09:30~13:00
 
4
Other values (22)
30 

Length

Max length11
Median length4
Mean length5.6222222
Min length4

Unique

Unique16 ?
Unique (%)5.1%

Sample

1st row<NA>
2nd row<NA>
3rd row09:00~13:00
4th row09:00~13:00
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 242
76.8%
09:00~13:00 27
 
8.6%
09:00~19:00 7
 
2.2%
09:00~14:00 5
 
1.6%
09:30~13:00 4
 
1.3%
09:00~16:00 3
 
1.0%
09:00~12:30 3
 
1.0%
09:00~15:00 2
 
0.6%
09:30~15:00 2
 
0.6%
08:00~13:00 2
 
0.6%
Other values (17) 18
 
5.7%

Length

2024-03-15T05:58:17.954422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 242
76.8%
09:00~13:00 27
 
8.6%
09:00~19:00 7
 
2.2%
09:00~14:00 5
 
1.6%
09:30~13:00 4
 
1.3%
09:00~16:00 3
 
1.0%
09:00~12:30 3
 
1.0%
09:00~18:00 2
 
0.6%
08:00~13:00 2
 
0.6%
09:30~15:00 2
 
0.6%
Other values (17) 18
 
5.7%

전화번호
Text

Distinct314
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-03-15T05:58:18.828820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.930159
Min length9

Characters and Unicode

Total characters3758
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

Unique313 ?
Unique (%)99.4%

Sample

1st row052-210-0100
2nd row052-249-1501
3rd row052-212-7575
4th row052-290-6000
5th row052-290-7100
ValueCountFrequency (%)
052-241-2000 2
 
0.6%
052-245-9602 1
 
0.3%
052-245-6661 1
 
0.3%
052-297-6800 1
 
0.3%
052-281-4991 1
 
0.3%
052-274-3175 1
 
0.3%
052-291-5700 1
 
0.3%
052-291-1034 1
 
0.3%
052-246-3075 1
 
0.3%
052-211-4406 1
 
0.3%
Other values (304) 304
96.5%
2024-03-15T05:58:20.086890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 836
22.2%
- 614
16.3%
0 532
14.2%
5 507
13.5%
4 227
 
6.0%
8 203
 
5.4%
7 189
 
5.0%
9 189
 
5.0%
1 183
 
4.9%
6 140
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3144
83.7%
Dash Punctuation 614
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 836
26.6%
0 532
16.9%
5 507
16.1%
4 227
 
7.2%
8 203
 
6.5%
7 189
 
6.0%
9 189
 
6.0%
1 183
 
5.8%
6 140
 
4.5%
3 138
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 614
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3758
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 836
22.2%
- 614
16.3%
0 532
14.2%
5 507
13.5%
4 227
 
6.0%
8 203
 
5.4%
7 189
 
5.0%
9 189
 
5.0%
1 183
 
4.9%
6 140
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3758
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 836
22.2%
- 614
16.3%
0 532
14.2%
5 507
13.5%
4 227
 
6.0%
8 203
 
5.4%
7 189
 
5.0%
9 189
 
5.0%
1 183
 
4.9%
6 140
 
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-23
315 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-23
2nd row2024-01-23
3rd row2024-01-23
4th row2024-01-23
5th row2024-01-23

Common Values

ValueCountFrequency (%)
2024-01-23 315
100.0%

Length

2024-03-15T05:58:20.638500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T05:58:20.960865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-23 315
100.0%

Correlations

2024-03-15T05:58:21.163932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료일요일 진료공휴일 진료
월요일 진료1.0001.0000.9990.9980.9990.9780.8970.978
화요일 진료1.0001.0000.9990.9990.9980.9750.8970.955
수요일 진료0.9990.9991.0000.9950.9990.9710.8970.960
목요일 진료0.9980.9990.9951.0000.9970.9700.8630.951
금요일 진료0.9990.9980.9990.9971.0000.9770.8960.976
토요일 진료0.9780.9750.9710.9700.9771.0000.8600.992
일요일 진료0.8970.8970.8970.8630.8960.8601.0000.954
공휴일 진료0.9780.9550.9600.9510.9760.9920.9541.000

Missing values

2024-03-15T05:57:55.996812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:57:56.327933image/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.
2024-03-15T05:57:56.800521image/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

구군병원명주소월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료일요일 진료공휴일 진료전화번호데이터기준일자
0중구유성병원울산광역시 중구 장춘로 169 (학산동)09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA>052-210-01002024-01-23
1중구강서정형외과의원울산광역시 중구 북부순환도로 107 (다운동)08:30~18:0008:30~20:0008:30~12:0008:30~18:0008:30~18:0008:30~12:00<NA><NA>052-249-15012024-01-23
2중구튼튼소아청소년과의원울산광역시 중구 번영로 590, 5층 (남외동)09:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~13:00<NA>09:00~13:00052-212-75752024-01-23
3중구맘스여성병원울산광역시 중구 남외2길 36 (남외동)09:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~16:0009:00~13:0009:00~13:00052-290-60002024-01-23
4중구울산H병원울산광역시 중구 화합로 363 (반구동)09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA>052-290-71002024-01-23
5중구정내과의원울산광역시 중구 다운로 47, (다운동)09:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~17:00<NA>09:00~13:00052-295-88222024-01-23
6중구인산림의원울산광역시 중구 번영로 484 (반구동)09:00~18:0009:00~18:0009:00~12:3009:00~18:0009:00~18:0009:00~12:30<NA><NA>052-286-97882024-01-23
7중구이화산부인과의원울산광역시 중구 문화의거리 17, (성남동)09:30~18:0009:30~18:0009:30~18:0009:30~18:0009:30~18:0009:30~12:00<NA><NA>052-243-60352024-01-23
8중구한양정신과의원울산광역시 중구 새즈믄해거리 6, (성남동)10:00~18:3010:00~18:3010:00~13:0010:00~18:3010:00~18:3010:00~13:00<NA><NA>052-244-96492024-01-23
9중구이긍용의원울산광역시 중구 장춘로 177, 2층 (학산동)09:00~17:3009:00~17:3009:00~17:3009:00~17:3009:00~17:3009:00~16:00<NA>09:00~13:00052-246-22232024-01-23
구군병원명주소월요일 진료화요일 진료수요일 진료목요일 진료금요일 진료토요일 진료일요일 진료공휴일 진료전화번호데이터기준일자
305중구오거리약국울산광역시 중구 번영로 564, 1층 (남외동)08:30~18:0008:30~18:0008:30~18:0008:30~18:0008:30~18:0008:30~14:00<NA>09:00~13:00052-286-42452024-01-23
306중구희망약국울산광역시 중구 번영로 590, 유림빌딩 103호 (남외동)09:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~19:0009:00~16:00<NA>09:00~13:00052-294-09062024-01-23
307중구시원약국울산광역시 중구 번영로 574, 동천빌딩 1층 (남외동)09:00~20:0009:00~20:0009:00~20:0009:00~20:0009:00~20:0009:00~16:00<NA><NA>052-298-88812024-01-23
308중구라온약국울산광역시 중구 시계탑거리 39, 1층 (옥교동)09:00~20:0009:00~20:0009:00~20:0009:00~20:0009:00~20:0009:00~19:00<NA>09:00~19:00052-211-77752024-01-23
309중구편한약국울산광역시 중구 학성로 150, 1층 (학산동)08:00~20:0008:00~20:0008:00~20:0008:00~20:0008:00~20:0008:00~15:00<NA><NA>052-244-25002024-01-23
310중구백옥약국울산광역시 중구 염포로 8, 1층 103호 (반구동)08:30~18:3008:30~18:3008:30~18:3008:30~18:3008:30~18:3008:00~13:30<NA><NA>052-292-02242024-01-23
311중구장약국울산광역시 중구 명륜로 41, 1층 (태화동)08:30~19:0008:30~19:0008:30~19:0008:30~19:0008:30~19:0008:30~14:0009:00~13:00<NA>052-260-46672024-01-23
312중구혁신온누리약국울산광역시 중구 종가6길 4-5, 1층 113호 (우정동)09:00~20:0009:00~20:0009:00~20:0009:00~20:0009:00~20:0009:00~15:00<NA><NA>052-246-12202024-01-23
313중구옥교호호약국울산광역시 중구 학성로 118, 1층 (옥교동)09:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~18:0009:00~13:00<NA><NA>052-243-81262024-01-23
314중구울산광역시중구보건소울산광역시 중구 외솔큰길 225 (남외동)09:00~12:0009:00~12:0009:00~12:0009:00~12:0009:00~12:00<NA><NA><NA>052-290-43002024-01-23