Overview

Dataset statistics

Number of variables5
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory41.7 B

Variable types

Text3
Categorical2

Dataset

Description울산광역시 중구에 소재한 예방접종 지정기관들에 대한 데이터로 병원명, 연락처, 주소, 접종항목 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3078651/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
병의원명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:06:51.393214
Analysis finished2023-12-11 23:06:51.835372
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

병의원명
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T08:06:52.000764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.5512821
Min length4

Characters and Unicode

Total characters667
Distinct characters144
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)100.0%

Sample

1st row가나의원
2nd row강내과의원
3rd row강서정형외과의원
4th row굿모닝가정의학과의원
5th row권이비인후과의원
ValueCountFrequency (%)
의료법인 4
 
4.5%
동강의료재단 2
 
2.3%
주성혜요양병원 1
 
1.1%
인산림의원 1
 
1.1%
이화산부인과의원 1
 
1.1%
이영달내과의원 1
 
1.1%
이승욱의원 1
 
1.1%
이수진소아청소년과의원 1
 
1.1%
이성훈연합의원 1
 
1.1%
조창현정형외과의원 1
 
1.1%
Other values (74) 74
84.1%
2023-12-12T08:06:52.403257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 89
 
13.3%
원 79
 
11.8%
과 51
 
7.6%
내 19
 
2.8%
인 16
 
2.4%
이 16
 
2.4%
정 15
 
2.2%
소 13
 
1.9%
료 12
 
1.8%
11
 
1.6%
Other values (134) 346
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 655
98.2%
Space Separator 11
 
1.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 89
 
13.6%
원 79
 
12.1%
과 51
 
7.8%
내 19
 
2.9%
인 16
 
2.4%
이 16
 
2.4%
정 15
 
2.3%
소 13
 
2.0%
료 12
 
1.8%
병 11
 
1.7%
Other values (132) 334
51.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 655
98.2%
Common 11
 
1.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 89
 
13.6%
원 79
 
12.1%
과 51
 
7.8%
내 19
 
2.9%
인 16
 
2.4%
이 16
 
2.4%
정 15
 
2.3%
소 13
 
2.0%
료 12
 
1.8%
병 11
 
1.7%
Other values (132) 334
51.0%
Common
ValueCountFrequency (%)
11
100.0%
Latin
ValueCountFrequency (%)
H 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 655
98.2%
ASCII 12
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 89
 
13.6%
원 79
 
12.1%
과 51
 
7.8%
내 19
 
2.9%
인 16
 
2.4%
이 16
 
2.4%
정 15
 
2.3%
소 13
 
2.0%
료 12
 
1.8%
병 11
 
1.7%
Other values (132) 334
51.0%
ASCII
ValueCountFrequency (%)
11
91.7%
H 1
 
8.3%

전화번호
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T08:06:52.651212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters936
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

Unique78 ?
Unique (%)100.0%

Sample

1st row052-222-3233
2nd row052-244-1110
3rd row052-249-1501
4th row052-277-0212
5th row052-298-7575
ValueCountFrequency (%)
052-222-3233 1
 
1.3%
052-244-9421 1
 
1.3%
052-286-9788 1
 
1.3%
052-243-6035 1
 
1.3%
052-243-2088 1
 
1.3%
052-296-9790 1
 
1.3%
052-295-7585 1
 
1.3%
052-245-0834 1
 
1.3%
052-707-7500 1
 
1.3%
052-700-8275 1
 
1.3%
Other values (68) 68
87.2%
2023-12-12T08:06:53.020191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 198
21.2%
0 161
17.2%
- 156
16.7%
5 127
13.6%
9 62
 
6.6%
4 49
 
5.2%
1 45
 
4.8%
7 43
 
4.6%
8 35
 
3.7%
3 30
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 780
83.3%
Dash Punctuation 156
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 198
25.4%
0 161
20.6%
5 127
16.3%
9 62
 
7.9%
4 49
 
6.3%
1 45
 
5.8%
7 43
 
5.5%
8 35
 
4.5%
3 30
 
3.8%
6 30
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 936
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 198
21.2%
0 161
17.2%
- 156
16.7%
5 127
13.6%
9 62
 
6.6%
4 49
 
5.2%
1 45
 
4.8%
7 43
 
4.6%
8 35
 
3.7%
3 30
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 198
21.2%
0 161
17.2%
- 156
16.7%
5 127
13.6%
9 62
 
6.6%
4 49
 
5.2%
1 45
 
4.8%
7 43
 
4.6%
8 35
 
3.7%
3 30
 
3.2%

주소
Text

Distinct77
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T08:06:53.275599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length26.692308
Min length22

Characters and Unicode

Total characters2082
Distinct characters113
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

Unique76 ?
Unique (%)97.4%

Sample

1st row울산광역시 중구 옥교6길 7, (학산동) 2층
2nd row울산광역시 중구 학성로 62-1, (성남동)
3rd row울산광역시 중구 북부순환도로 107, (다운동)
4th row울산광역시 중구 다운로 46, (다운동)
5th row울산광역시 중구 번영로 580, (남외동, sky M빌딩) 402호
ValueCountFrequency (%)
울산광역시 78
 
17.4%
중구 78
 
17.4%
번영로 21
 
4.7%
남외동 17
 
3.8%
2층 13
 
2.9%
반구동 12
 
2.7%
태화동 9
 
2.0%
학성로 8
 
1.8%
5층 8
 
1.8%
3층 8
 
1.8%
Other values (129) 196
43.8%
2023-12-12T08:06:53.722511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
19.5%
구 92
 
4.4%
, 92
 
4.4%
산 88
 
4.2%
동 86
 
4.1%
) 79
 
3.8%
( 79
 
3.8%
울 79
 
3.8%
시 79
 
3.8%
중 78
 
3.7%
Other values (103) 925
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1129
54.2%
Space Separator 405
 
19.5%
Decimal Number 283
 
13.6%
Other Punctuation 92
 
4.4%
Close Punctuation 79
 
3.8%
Open Punctuation 79
 
3.8%
Lowercase Letter 5
 
0.2%
Dash Punctuation 4
 
0.2%
Math Symbol 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 92
 
8.1%
산 88
 
7.8%
동 86
 
7.6%
울 79
 
7.0%
시 79
 
7.0%
중 78
 
6.9%
역 78
 
6.9%
광 78
 
6.9%
로 61
 
5.4%
층 41
 
3.6%
Other values (82) 369
32.7%
Decimal Number
ValueCountFrequency (%)
1 48
17.0%
2 46
16.3%
4 32
11.3%
5 31
11.0%
3 28
9.9%
0 25
8.8%
6 24
8.5%
7 19
 
6.7%
8 17
 
6.0%
9 13
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
y 2
40.0%
k 2
40.0%
s 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
66.7%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
405
100.0%
Other Punctuation
ValueCountFrequency (%)
, 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1129
54.2%
Common 945
45.4%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 92
 
8.1%
산 88
 
7.8%
동 86
 
7.6%
울 79
 
7.0%
시 79
 
7.0%
중 78
 
6.9%
역 78
 
6.9%
광 78
 
6.9%
로 61
 
5.4%
층 41
 
3.6%
Other values (82) 369
32.7%
Common
ValueCountFrequency (%)
405
42.9%
, 92
 
9.7%
) 79
 
8.4%
( 79
 
8.4%
1 48
 
5.1%
2 46
 
4.9%
4 32
 
3.4%
5 31
 
3.3%
3 28
 
3.0%
0 25
 
2.6%
Other values (6) 80
 
8.5%
Latin
ValueCountFrequency (%)
M 2
25.0%
y 2
25.0%
k 2
25.0%
s 1
12.5%
S 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1129
54.2%
ASCII 953
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
42.5%
, 92
 
9.7%
) 79
 
8.3%
( 79
 
8.3%
1 48
 
5.0%
2 46
 
4.8%
4 32
 
3.4%
5 31
 
3.3%
3 28
 
2.9%
0 25
 
2.6%
Other values (11) 88
 
9.2%
Hangul
ValueCountFrequency (%)
구 92
 
8.1%
산 88
 
7.8%
동 86
 
7.6%
울 79
 
7.0%
시 79
 
7.0%
중 78
 
6.9%
역 78
 
6.9%
광 78
 
6.9%
로 61
 
5.4%
층 41
 
3.6%
Other values (82) 369
32.7%

접종가능백신
Categorical

Distinct18
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
인플루엔자(어르신)+폐렴구균(어르신)
15 
어린이국가예방접종+HPV국가예방접종+인플루엔자(13세 이하)+인플루엔자(임신부)+인플루엔자(어르신)+폐렴구균(어르신)
15 
인플루엔자(어르신)
15 
어린이국가예방접종+HPV국가예방접종+인플루엔자(13세 이하)+인플루엔자(어르신)+폐렴구균(어르신)
10 
인플루엔자(13세 이하)+인플루엔자(어르신)+폐렴구균(어르신)
4 
Other values (13)
19 

Length

Max length65
Median length55
Mean length36.628205
Min length9

Unique

Unique7 ?
Unique (%)9.0%

Sample

1st row인플루엔자(어르신)+폐렴구균(어르신)
2nd row인플루엔자(어르신)+폐렴구균(어르신)
3rd row인플루엔자(어르신)
4th row어린이국가예방접종+인플루엔자(13세 이하)+인플루엔자(어르신)+폐렴구균(어르신)
5th row인플루엔자(어르신)

Common Values

ValueCountFrequency (%)
인플루엔자(어르신)+폐렴구균(어르신) 15
19.2%
어린이국가예방접종+HPV국가예방접종+인플루엔자(13세 이하)+인플루엔자(임신부)+인플루엔자(어르신)+폐렴구균(어르신) 15
19.2%
인플루엔자(어르신) 15
19.2%
어린이국가예방접종+HPV국가예방접종+인플루엔자(13세 이하)+인플루엔자(어르신)+폐렴구균(어르신) 10
12.8%
인플루엔자(13세 이하)+인플루엔자(어르신)+폐렴구균(어르신) 4
 
5.1%
어린이국가예방접종+인플루엔자(13세 이하)+인플루엔자(임신부)+인플루엔자(어르신)+폐렴구균(어르신) 2
 
2.6%
어린이국가예방접종+인플루엔자(13세 이하)+인플루엔자(어르신)+폐렴구균(어르신) 2
 
2.6%
HPV국가예방접종+인플루엔자(어르신)+폐렴구균(어르신) 2
 
2.6%
인플루엔자(임신부)+인플루엔자(어르신)+폐렴구균(어르신) 2
 
2.6%
어린이국가예방접종+HPV국가예방접종+인플루엔자(어르신)+폐렴구균(어르신) 2
 
2.6%
Other values (8) 9
11.5%

Length

2023-12-12T08:06:53.871747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이국가예방접종+hpv국가예방접종+인플루엔자(13세 28
23.7%
이하)+인플루엔자(임신부)+인플루엔자(어르신)+폐렴구균(어르신 18
15.3%
이하)+인플루엔자(어르신)+폐렴구균(어르신 17
14.4%
인플루엔자(어르신)+폐렴구균(어르신 15
12.7%
인플루엔자(어르신 15
12.7%
인플루엔자(13세 7
 
5.9%
어린이국가예방접종+인플루엔자(13세 4
 
3.4%
이하)+인플루엔자(임신부)+인플루엔자(어르신 3
 
2.5%
hpv국가예방접종+인플루엔자(어르신)+폐렴구균(어르신 2
 
1.7%
인플루엔자(임신부)+인플루엔자(어르신)+폐렴구균(어르신 2
 
1.7%
Other values (6) 7
 
5.9%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-08-09
78 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-09
2nd row2023-08-09
3rd row2023-08-09
4th row2023-08-09
5th row2023-08-09

Common Values

ValueCountFrequency (%)
2023-08-09 78
100.0%

Length

2023-12-12T08:06:53.978358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:06:54.068344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-09 78
100.0%

Correlations

2023-12-12T08:06:54.120822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병의원명전화번호주소접종가능백신
병의원명1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
주소1.0001.0001.0000.000
접종가능백신1.0001.0000.0001.000

Missing values

2023-12-12T08:06:51.699794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:06:51.798959image/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

병의원명전화번호주소접종가능백신데이터 기준일자
0가나의원052-222-3233울산광역시 중구 옥교6길 7, (학산동) 2층인플루엔자(어르신)+폐렴구균(어르신)2023-08-09
1강내과의원052-244-1110울산광역시 중구 학성로 62-1, (성남동)인플루엔자(어르신)+폐렴구균(어르신)2023-08-09
2강서정형외과의원052-249-1501울산광역시 중구 북부순환도로 107, (다운동)인플루엔자(어르신)2023-08-09
3굿모닝가정의학과의원052-277-0212울산광역시 중구 다운로 46, (다운동)어린이국가예방접종+인플루엔자(13세 이하)+인플루엔자(어르신)+폐렴구균(어르신)2023-08-09
4권이비인후과의원052-298-7575울산광역시 중구 번영로 580, (남외동, sky M빌딩) 402호인플루엔자(어르신)2023-08-09
5김남용내과의원052-998-7500울산광역시 중구 학성로 150, (학산동) 2층인플루엔자(13세 이하)+인플루엔자(어르신)+폐렴구균(어르신)2023-08-09
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74한국건강관리협회 건강증진의원052-241-2000울산광역시 중구 번영로 360, (학산동)어린이국가예방접종+HPV국가예방접종+인플루엔자(13세 이하)+인플루엔자(임신부)+인플루엔자(어르신)+폐렴구균(어르신)2023-08-09
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