Overview

Dataset statistics

Number of variables6
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory53.3 B

Variable types

Text4
Categorical1
DateTime1

Dataset

Description울산광역시 동구 관내의 요양보호사 교육기관 현황(소재지, 기관명, 전화번호 등)의 정보를 제공하는 데이터입니다.
Author울산광역시 동구
URLhttps://www.data.go.kr/data/15121102/fileData.do

Alerts

기관명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:40:11.735500
Analysis finished2023-12-12 18:40:13.000653
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T03:40:13.238601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length4.4
Min length3

Characters and Unicode

Total characters110
Distinct characters54
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row부모사랑울산
2nd row울산중앙
3rd row글로벌 간호학원부설
4th row현 대
5th row다 사 랑
ValueCountFrequency (%)
양 3
 
5.8%
산 3
 
5.8%
울 2
 
3.8%
드 2
 
3.8%
간호학원부설 2
 
3.8%
남 2
 
3.8%
언 2
 
3.8%
계 2
 
3.8%
구 2
 
3.8%
롬 1
 
1.9%
Other values (31) 31
59.6%
2023-12-13T03:40:13.804343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
24.5%
산 6
 
5.5%
울 5
 
4.5%
부 3
 
2.7%
양 3
 
2.7%
호 3
 
2.7%
원 2
 
1.8%
구 2
 
1.8%
언 2
 
1.8%
드 2
 
1.8%
Other values (44) 55
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
75.5%
Space Separator 27
 
24.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 6
 
7.2%
울 5
 
6.0%
부 3
 
3.6%
양 3
 
3.6%
호 3
 
3.6%
원 2
 
2.4%
구 2
 
2.4%
언 2
 
2.4%
드 2
 
2.4%
모 2
 
2.4%
Other values (43) 53
63.9%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
75.5%
Common 27
 
24.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 6
 
7.2%
울 5
 
6.0%
부 3
 
3.6%
양 3
 
3.6%
호 3
 
3.6%
원 2
 
2.4%
구 2
 
2.4%
언 2
 
2.4%
드 2
 
2.4%
모 2
 
2.4%
Other values (43) 53
63.9%
Common
ValueCountFrequency (%)
27
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
75.5%
ASCII 27
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
100.0%
Hangul
ValueCountFrequency (%)
산 6
 
7.2%
울 5
 
6.0%
부 3
 
3.6%
양 3
 
3.6%
호 3
 
3.6%
원 2
 
2.4%
구 2
 
2.4%
언 2
 
2.4%
드 2
 
2.4%
모 2
 
2.4%
Other values (43) 53
63.9%

대표자
Text

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T03:40:14.097826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters75
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row김영호
2nd row윤득주
3rd row김언주
4th row이경숙
5th row김경연
ValueCountFrequency (%)
김경덕 2
 
8.0%
김영호 1
 
4.0%
유순옥 1
 
4.0%
오현석 1
 
4.0%
정영훈 1
 
4.0%
노광일 1
 
4.0%
하남기 1
 
4.0%
한경미 1
 
4.0%
최미경 1
 
4.0%
김철호 1
 
4.0%
Other values (14) 14
56.0%
2023-12-13T03:40:14.557423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 6
 
8.0%
경 6
 
8.0%
영 4
 
5.3%
박 3
 
4.0%
미 3
 
4.0%
오 3
 
4.0%
주 2
 
2.7%
덕 2
 
2.7%
연 2
 
2.7%
기 2
 
2.7%
Other values (35) 42
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
8.0%
경 6
 
8.0%
영 4
 
5.3%
박 3
 
4.0%
미 3
 
4.0%
오 3
 
4.0%
주 2
 
2.7%
덕 2
 
2.7%
연 2
 
2.7%
기 2
 
2.7%
Other values (35) 42
56.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
8.0%
경 6
 
8.0%
영 4
 
5.3%
박 3
 
4.0%
미 3
 
4.0%
오 3
 
4.0%
주 2
 
2.7%
덕 2
 
2.7%
연 2
 
2.7%
기 2
 
2.7%
Other values (35) 42
56.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 6
 
8.0%
경 6
 
8.0%
영 4
 
5.3%
박 3
 
4.0%
미 3
 
4.0%
오 3
 
4.0%
주 2
 
2.7%
덕 2
 
2.7%
연 2
 
2.7%
기 2
 
2.7%
Other values (35) 42
56.0%

정원
Categorical

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
40명
10 
37명
3 
35명
2 
34명
2 
38명
2 
Other values (5)
6 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique4 ?
Unique (%)16.0%

Sample

1st row35명
2nd row40명
3rd row34명
4th row37명
5th row37명

Common Values

ValueCountFrequency (%)
40명 10
40.0%
37명 3
 
12.0%
35명 2
 
8.0%
34명 2
 
8.0%
38명 2
 
8.0%
30명 2
 
8.0%
20명 1
 
4.0%
32명 1
 
4.0%
33명 1
 
4.0%
29명 1
 
4.0%

Length

2023-12-13T03:40:14.900826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:40:15.147018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40명 10
40.0%
37명 3
 
12.0%
35명 2
 
8.0%
34명 2
 
8.0%
38명 2
 
8.0%
30명 2
 
8.0%
20명 1
 
4.0%
32명 1
 
4.0%
33명 1
 
4.0%
29명 1
 
4.0%

소재지
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T03:40:15.555721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length19.92
Min length17

Characters and Unicode

Total characters498
Distinct characters79
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row남구 돋질로 76, 3층 (달동)
2nd row중구 가구거리 43, 2층 (학성동)
3rd row남구 중앙로 213, 4층 (신정동)
4th row남구 삼산로 24, 4층 (신정동)
5th row남구 북부순환도로 6-1, 2,3층 (무거동)
ValueCountFrequency (%)
2층 9
 
7.3%
울주군 8
 
6.5%
남구 6
 
4.9%
중구 5
 
4.1%
4층 5
 
4.1%
온양읍 4
 
3.3%
3층 4
 
3.3%
북구 4
 
3.3%
달동 3
 
2.4%
호계동 3
 
2.4%
Other values (58) 72
58.5%
2023-12-13T03:40:16.278090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
19.9%
2 27
 
5.4%
, 26
 
5.2%
층 23
 
4.6%
구 22
 
4.4%
동 21
 
4.2%
3 20
 
4.0%
로 17
 
3.4%
( 17
 
3.4%
) 17
 
3.4%
Other values (69) 209
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
48.2%
Space Separator 99
19.9%
Decimal Number 95
 
19.1%
Other Punctuation 26
 
5.2%
Open Punctuation 17
 
3.4%
Close Punctuation 17
 
3.4%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 23
 
9.6%
구 22
 
9.2%
동 21
 
8.8%
로 17
 
7.1%
울 9
 
3.8%
주 8
 
3.3%
군 8
 
3.3%
읍 8
 
3.3%
길 7
 
2.9%
남 7
 
2.9%
Other values (55) 110
45.8%
Decimal Number
ValueCountFrequency (%)
2 27
28.4%
3 20
21.1%
1 13
13.7%
4 10
 
10.5%
5 8
 
8.4%
7 5
 
5.3%
8 5
 
5.3%
0 4
 
4.2%
6 3
 
3.2%
Space Separator
ValueCountFrequency (%)
99
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 258
51.8%
Hangul 240
48.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 23
 
9.6%
구 22
 
9.2%
동 21
 
8.8%
로 17
 
7.1%
울 9
 
3.8%
주 8
 
3.3%
군 8
 
3.3%
읍 8
 
3.3%
길 7
 
2.9%
남 7
 
2.9%
Other values (55) 110
45.8%
Common
ValueCountFrequency (%)
99
38.4%
2 27
 
10.5%
, 26
 
10.1%
3 20
 
7.8%
( 17
 
6.6%
) 17
 
6.6%
1 13
 
5.0%
4 10
 
3.9%
5 8
 
3.1%
7 5
 
1.9%
Other values (4) 16
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 258
51.8%
Hangul 240
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
38.4%
2 27
 
10.5%
, 26
 
10.1%
3 20
 
7.8%
( 17
 
6.6%
) 17
 
6.6%
1 13
 
5.0%
4 10
 
3.9%
5 8
 
3.1%
7 5
 
1.9%
Other values (4) 16
 
6.2%
Hangul
ValueCountFrequency (%)
층 23
 
9.6%
구 22
 
9.2%
동 21
 
8.8%
로 17
 
7.1%
울 9
 
3.8%
주 8
 
3.3%
군 8
 
3.3%
읍 8
 
3.3%
길 7
 
2.9%
남 7
 
2.9%
Other values (55) 110
45.8%

연락처
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T03:40:16.632401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters200
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

Unique25 ?
Unique (%)100.0%

Sample

1st row256-4118
2nd row297-9179
3rd row261-9978
4th row266-0067
5th row211-3888
ValueCountFrequency (%)
256-4118 1
 
4.0%
961-0533 1
 
4.0%
277-2505 1
 
4.0%
264-3882 1
 
4.0%
238-2322 1
 
4.0%
237-8333 1
 
4.0%
716-5077 1
 
4.0%
277-2277 1
 
4.0%
285-7277 1
 
4.0%
297-9182 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T03:40:17.272762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 40
20.0%
- 25
12.5%
8 24
12.0%
3 22
11.0%
7 21
10.5%
0 14
 
7.0%
5 13
 
6.5%
1 13
 
6.5%
6 11
 
5.5%
9 10
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 175
87.5%
Dash Punctuation 25
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 40
22.9%
8 24
13.7%
3 22
12.6%
7 21
12.0%
0 14
 
8.0%
5 13
 
7.4%
1 13
 
7.4%
6 11
 
6.3%
9 10
 
5.7%
4 7
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 40
20.0%
- 25
12.5%
8 24
12.0%
3 22
11.0%
7 21
10.5%
0 14
 
7.0%
5 13
 
6.5%
1 13
 
6.5%
6 11
 
5.5%
9 10
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 40
20.0%
- 25
12.5%
8 24
12.0%
3 22
11.0%
7 21
10.5%
0 14
 
7.0%
5 13
 
6.5%
1 13
 
6.5%
6 11
 
5.5%
9 10
 
5.0%

지정일
Date

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2010-07-15 00:00:00
Maximum2021-07-27 00:00:00
2023-12-13T03:40:17.534983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:40:17.772270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

Correlations

2023-12-13T03:40:17.948797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명대표자정원소재지연락처지정일
기관명1.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0000.917
정원1.0001.0001.0001.0001.0000.686
소재지1.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
지정일1.0000.9170.6861.0001.0001.000

Missing values

2023-12-13T03:40:12.761259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:40:12.931597image/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

기관명대표자정원소재지연락처지정일
0부모사랑울산김영호35명남구 돋질로 76, 3층 (달동)256-41182010-07-15
1울산중앙윤득주40명중구 가구거리 43, 2층 (학성동)297-91792010-07-15
2글로벌 간호학원부설김언주34명남구 중앙로 213, 4층 (신정동)261-99782010-07-15
3현 대이경숙37명남구 삼산로 24, 4층 (신정동)266-00672010-07-15
4다 사 랑김경연37명남구 북부순환도로 6-1, 2,3층 (무거동)211-38882010-07-15
5호 계전운화38명북구 호계로 238, 2층 (호계동)282-78552010-07-15
6굿 모 닝최혜연40명남구 삼산로 73, 4층 (달동)256-22632010-07-15
7현대 간호학원부설오석윤20명남구 삼산로 234, 5층 (달동)258-02302010-10-18
8세 계 로박명희37명동구 진성4길 5, 2,3층 (전하동)233-01082010-10-18
9나 눔박미선40명북구 마동로 10, 2층 (호계동)283-42822010-10-18
기관명대표자정원소재지연락처지정일
15새 롬정혜지40명동구 방어진순환도로 733, 2층 (전하동)201-68012016-11-09
16북 구김철호30명북구 송내11길 12 (화봉동)297-91822018-08-01
17반 구최미경40명중구 염포로3, 5층 (반구동)285-72772018-08-03
18월 드한경미38명울주군 범서읍 울밀로 2852, 2층277-22772020-12-31
19언 양김경덕40명울주군 언양읍 반구대로 815, 4층716-50772020-12-31
20온 양하남기40명울주군 온양읍 남창강변로 76, 2층237-83332020-12-31
21남 울 산노광일29명울주군 온양읍 연안1길 3, 2층238-23222021-01-13
22신 언 양정영훈40명울주군 언양읍 동문길 58, 5층264-38822021-01-22
23울산케어아카데미오현석34명울주군 온양읍 보곡2길 23, 2층277-25052021-07-27
24남 창 효박영교35명울주군 온양읍 솔밭1길 17-4, 2층237-52002021-07-27