Overview

Dataset statistics

Number of variables15
Number of observations27
Missing cells25
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory124.7 B

Variable types

Text8
Categorical4
Boolean2
DateTime1

Dataset

Description부산광역시 연제구 (예비)사회적기업 현황입니다(기관명, 서비스분야, 주된목적, 사업내용, 대표자명, 소재지 등)
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15007336/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
부처형태 is highly overall correlated with 인증(지정)여부 and 1 other fieldsHigh correlation
예비형태 is highly overall correlated with 인증(지정)여부 and 1 other fieldsHigh correlation
인증(지정)여부 is highly overall correlated with 예비형태 and 1 other fieldsHigh correlation
전화번호 has 8 (29.6%) missing valuesMissing
홈페이지주소 has 17 (63.0%) missing valuesMissing
기관명 has unique valuesUnique
사업내용 has unique valuesUnique
대표자명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:33:25.895831
Analysis finished2024-03-14 16:33:28.449338
Duration2.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-03-15T01:33:29.083382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.7407407
Min length3

Characters and Unicode

Total characters209
Distinct characters109
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row자연애친구들
2nd row(주)부산광역주거복지센터
3rd row(사)부산돌봄사회서비스센터
4th row㈜꿈드림키즈
5th row㈜초록배낭
ValueCountFrequency (%)
주식회사 2
 
6.7%
자연애친구들 1
 
3.3%
㈜루트컴퍼니 1
 
3.3%
㈜스토리팔 1
 
3.3%
주식회사랄라플라 1
 
3.3%
주)마음알지 1
 
3.3%
허리업 1
 
3.3%
이롭 1
 
3.3%
서로서로그림책협동조합 1
 
3.3%
함께가는길협동조합 1
 
3.3%
Other values (19) 19
63.3%
2024-03-15T01:33:30.683079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
7.2%
8
 
3.8%
7
 
3.3%
7
 
3.3%
6
 
2.9%
5
 
2.4%
5
 
2.4%
4
 
1.9%
( 4
 
1.9%
) 4
 
1.9%
Other values (99) 144
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
87.6%
Other Symbol 15
 
7.2%
Open Punctuation 4
 
1.9%
Close Punctuation 4
 
1.9%
Space Separator 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
4.4%
7
 
3.8%
7
 
3.8%
6
 
3.3%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (95) 129
70.5%
Other Symbol
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 198
94.7%
Common 11
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
7.6%
8
 
4.0%
7
 
3.5%
7
 
3.5%
6
 
3.0%
5
 
2.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
4
 
2.0%
Other values (96) 133
67.2%
Common
ValueCountFrequency (%)
( 4
36.4%
) 4
36.4%
3
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
87.6%
None 15
 
7.2%
ASCII 11
 
5.3%

Most frequent character per block

None
ValueCountFrequency (%)
15
100.0%
Hangul
ValueCountFrequency (%)
8
 
4.4%
7
 
3.8%
7
 
3.8%
6
 
3.3%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (95) 129
70.5%
ASCII
ValueCountFrequency (%)
( 4
36.4%
) 4
36.4%
3
27.3%
Distinct10
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
교육
10 
기타
관광, 운동
사회복지
청소 등 사업시설관리
Other values (5)

Length

Max length11
Median length2
Mean length4.0740741
Min length2

Unique

Unique4 ?
Unique (%)14.8%

Sample

1st row교육
2nd row사회복지
3rd row간병및가사지원
4th row교육
5th row관광, 운동

Common Values

ValueCountFrequency (%)
교육 10
37.0%
기타 4
 
14.8%
관광, 운동 3
 
11.1%
사회복지 2
 
7.4%
청소 등 사업시설관리 2
 
7.4%
문화, 예술 2
 
7.4%
간병및가사지원 1
 
3.7%
고용서비스 1
 
3.7%
환경 1
 
3.7%
사회서비스제공형 1
 
3.7%

Length

2024-03-15T01:33:31.103749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:33:31.428472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육 10
27.8%
기타 4
 
11.1%
관광 3
 
8.3%
운동 3
 
8.3%
사회복지 2
 
5.6%
청소 2
 
5.6%
2
 
5.6%
사업시설관리 2
 
5.6%
문화 2
 
5.6%
예술 2
 
5.6%
Other values (4) 4
 
11.1%

주된목적
Categorical

Distinct6
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size344.0 B
일자리제공형
10 
사회서비스제공형
기타(창의,혁신)형
혼합형
지역사회공헌형
 
1

Length

Max length10
Median length8
Mean length7.2962963
Min length3

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st row기타(창의,혁신)형
2nd row일자리제공형
3rd row일자리제공형
4th row일자리제공형
5th row혼합형

Common Values

ValueCountFrequency (%)
일자리제공형 10
37.0%
사회서비스제공형 8
29.6%
기타(창의,혁신)형 5
18.5%
혼합형 2
 
7.4%
지역사회공헌형 1
 
3.7%
기타(창의ㆍ혁신)형 1
 
3.7%

Length

2024-03-15T01:33:31.726554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:33:32.067047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 10
37.0%
사회서비스제공형 8
29.6%
기타(창의,혁신)형 5
18.5%
혼합형 2
 
7.4%
지역사회공헌형 1
 
3.7%
기타(창의ㆍ혁신)형 1
 
3.7%

사업내용
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-03-15T01:33:33.166903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length21
Mean length21.222222
Min length5

Characters and Unicode

Total characters573
Distinct characters182
Distinct categories5 ?
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 (%)100.0%

Sample

1st row생태해설, 환경체험 교실
2nd row주택개량, 석면해체
3rd row공동간병 산모도우미
4th row영유아 감성체육사업
5th row교육탐방, 현장체험학습
ValueCountFrequency (%)
14
 
10.1%
교육 8
 
5.8%
운영 6
 
4.3%
제작 5
 
3.6%
판매 5
 
3.6%
3
 
2.2%
치매예방 2
 
1.4%
건강케어 2
 
1.4%
피트니스 2
 
1.4%
고령자 2
 
1.4%
Other values (88) 90
64.7%
2024-03-15T01:33:35.325535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
19.7%
, 21
 
3.7%
20
 
3.5%
16
 
2.8%
14
 
2.4%
12
 
2.1%
10
 
1.7%
8
 
1.4%
7
 
1.2%
7
 
1.2%
Other values (172) 345
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 427
74.5%
Space Separator 113
 
19.7%
Other Punctuation 23
 
4.0%
Open Punctuation 5
 
0.9%
Close Punctuation 5
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
4.7%
16
 
3.7%
14
 
3.3%
12
 
2.8%
10
 
2.3%
8
 
1.9%
7
 
1.6%
7
 
1.6%
6
 
1.4%
6
 
1.4%
Other values (167) 321
75.2%
Other Punctuation
ValueCountFrequency (%)
, 21
91.3%
/ 2
 
8.7%
Space Separator
ValueCountFrequency (%)
113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 427
74.5%
Common 146
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
4.7%
16
 
3.7%
14
 
3.3%
12
 
2.8%
10
 
2.3%
8
 
1.9%
7
 
1.6%
7
 
1.6%
6
 
1.4%
6
 
1.4%
Other values (167) 321
75.2%
Common
ValueCountFrequency (%)
113
77.4%
, 21
 
14.4%
( 5
 
3.4%
) 5
 
3.4%
/ 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 427
74.5%
ASCII 146
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
77.4%
, 21
 
14.4%
( 5
 
3.4%
) 5
 
3.4%
/ 2
 
1.4%
Hangul
ValueCountFrequency (%)
20
 
4.7%
16
 
3.7%
14
 
3.3%
12
 
2.8%
10
 
2.3%
8
 
1.9%
7
 
1.6%
7
 
1.6%
6
 
1.4%
6
 
1.4%
Other values (167) 321
75.2%

인증(지정)여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size155.0 B
False
14 
True
13 
ValueCountFrequency (%)
False 14
51.9%
True 13
48.1%
2024-03-15T01:33:35.679633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예비형태
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size155.0 B
True
14 
False
13 
ValueCountFrequency (%)
True 14
51.9%
False 13
48.1%
2024-03-15T01:33:35.992543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

부처형태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size344.0 B
예비사회적기업
14 
사회적기업
13 

Length

Max length7
Median length7
Mean length6.037037
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예비사회적기업 14
51.9%
사회적기업 13
48.1%

Length

2024-03-15T01:33:36.460941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:33:37.107647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예비사회적기업 14
51.9%
사회적기업 13
48.1%
Distinct18
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
Minimum2010-12-22 00:00:00
Maximum2023-12-28 00:00:00
2024-03-15T01:33:37.369494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T01:33:37.648499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-03-15T01:33:38.333641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.6666667
Min length9

Characters and Unicode

Total characters261
Distinct characters13
Distinct categories3 ?
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 (%)92.6%

Sample

1st row제2010-173호
2nd row제2012-052호
3rd row제2013-208호
4th row제2014-061호
5th row제2016-250호
ValueCountFrequency (%)
제2023-042호 2
 
7.4%
제2010-173호 1
 
3.7%
제2012-052호 1
 
3.7%
제2021-131호 1
 
3.7%
제2022-080호 1
 
3.7%
제2023-10호 1
 
3.7%
제2023-041호 1
 
3.7%
제2022-21호 1
 
3.7%
제2022-18호 1
 
3.7%
제2022-19호 1
 
3.7%
Other values (16) 16
59.3%
2024-03-15T01:33:39.582907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 64
24.5%
0 47
18.0%
27
10.3%
- 27
10.3%
27
10.3%
1 25
 
9.6%
3 15
 
5.7%
4 6
 
2.3%
6 6
 
2.3%
9 6
 
2.3%
Other values (3) 11
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
69.0%
Other Letter 54
 
20.7%
Dash Punctuation 27
 
10.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 64
35.6%
0 47
26.1%
1 25
 
13.9%
3 15
 
8.3%
4 6
 
3.3%
6 6
 
3.3%
9 6
 
3.3%
7 4
 
2.2%
5 4
 
2.2%
8 3
 
1.7%
Other Letter
ValueCountFrequency (%)
27
50.0%
27
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 207
79.3%
Hangul 54
 
20.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 64
30.9%
0 47
22.7%
- 27
13.0%
1 25
 
12.1%
3 15
 
7.2%
4 6
 
2.9%
6 6
 
2.9%
9 6
 
2.9%
7 4
 
1.9%
5 4
 
1.9%
Hangul
ValueCountFrequency (%)
27
50.0%
27
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 207
79.3%
Hangul 54
 
20.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 64
30.9%
0 47
22.7%
- 27
13.0%
1 25
 
12.1%
3 15
 
7.2%
4 6
 
2.9%
6 6
 
2.9%
9 6
 
2.9%
7 4
 
1.9%
5 4
 
1.9%
Hangul
ValueCountFrequency (%)
27
50.0%
27
50.0%

대표자명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-03-15T01:33:40.410637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters81
Distinct characters44
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

Unique27 ?
Unique (%)100.0%

Sample

1st row최문영
2nd row서상복
3rd row안혜경
4th row이상목
5th row채유진
ValueCountFrequency (%)
최문영 1
 
3.7%
이태희 1
 
3.7%
최희화 1
 
3.7%
김유정 1
 
3.7%
윤치연 1
 
3.7%
김수현 1
 
3.7%
김지연 1
 
3.7%
박정현 1
 
3.7%
한영욱 1
 
3.7%
임혜정 1
 
3.7%
Other values (17) 17
63.0%
2024-03-15T01:33:41.616839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
7.4%
5
 
6.2%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
3
 
3.7%
3
 
3.7%
3
 
3.7%
2
 
2.5%
Other values (34) 43
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
7.4%
5
 
6.2%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
3
 
3.7%
3
 
3.7%
3
 
3.7%
2
 
2.5%
Other values (34) 43
53.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
7.4%
5
 
6.2%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
3
 
3.7%
3
 
3.7%
3
 
3.7%
2
 
2.5%
Other values (34) 43
53.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
7.4%
5
 
6.2%
4
 
4.9%
4
 
4.9%
4
 
4.9%
4
 
4.9%
3
 
3.7%
3
 
3.7%
3
 
3.7%
2
 
2.5%
Other values (34) 43
53.1%

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing8
Missing (%)29.6%
Memory size344.0 B
2024-03-15T01:33:42.294911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.105263
Min length12

Characters and Unicode

Total characters230
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

Unique19 ?
Unique (%)100.0%

Sample

1st row051-506-1860
2nd row051-710-5794
3rd row051-852-0525
4th row051-868-3523
5th row051-701-5006
ValueCountFrequency (%)
051-506-1860 1
 
5.3%
051-852-8878 1
 
5.3%
051-710-5794 1
 
5.3%
070-7589-1223 1
 
5.3%
051-523-6823 1
 
5.3%
070-8286-2314 1
 
5.3%
051-868-6115 1
 
5.3%
051-711-7131 1
 
5.3%
052-911-7161 1
 
5.3%
051-710-8558 1
 
5.3%
Other values (9) 9
47.4%
2024-03-15T01:33:43.278749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 39
17.0%
- 38
16.5%
5 36
15.7%
0 34
14.8%
8 21
9.1%
2 18
7.8%
6 14
 
6.1%
7 12
 
5.2%
3 10
 
4.3%
9 6
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
83.5%
Dash Punctuation 38
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 39
20.3%
5 36
18.8%
0 34
17.7%
8 21
10.9%
2 18
9.4%
6 14
 
7.3%
7 12
 
6.2%
3 10
 
5.2%
9 6
 
3.1%
4 2
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 230
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 39
17.0%
- 38
16.5%
5 36
15.7%
0 34
14.8%
8 21
9.1%
2 18
7.8%
6 14
 
6.1%
7 12
 
5.2%
3 10
 
4.3%
9 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 39
17.0%
- 38
16.5%
5 36
15.7%
0 34
14.8%
8 21
9.1%
2 18
7.8%
6 14
 
6.1%
7 12
 
5.2%
3 10
 
4.3%
9 6
 
2.6%
Distinct24
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-03-15T01:33:44.060898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length24.814815
Min length20

Characters and Unicode

Total characters670
Distinct characters49
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)81.5%

Sample

1st row부산광역시 연제구 월드컵대로91번가길 28(연산동)
2nd row부산광역시 연제구 대리로6번길 67(연산동)
3rd row부산광역시 연제구 거제천로 89(거제동)
4th row부산광역시 연제구 과정로 225번길 23(연산동)
5th row부산광역시 연제구 월드컵대로 217(거제동)
ValueCountFrequency (%)
부산광역시 27
24.1%
연제구 27
24.1%
아시아드대로 4
 
3.6%
107(거제동 4
 
3.6%
고분로 3
 
2.7%
35(연산동 2
 
1.8%
월드컵대로 2
 
1.8%
중앙대로 2
 
1.8%
과정로265번길 2
 
1.8%
65(연산동 2
 
1.8%
Other values (34) 37
33.0%
2024-03-15T01:33:45.231284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
 
13.4%
45
 
6.7%
45
 
6.7%
38
 
5.7%
31
 
4.6%
27
 
4.0%
27
 
4.0%
27
 
4.0%
27
 
4.0%
27
 
4.0%
Other values (39) 286
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 427
63.7%
Decimal Number 98
 
14.6%
Space Separator 90
 
13.4%
Open Punctuation 26
 
3.9%
Close Punctuation 26
 
3.9%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
10.5%
45
10.5%
38
 
8.9%
31
 
7.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
Other values (25) 106
24.8%
Decimal Number
ValueCountFrequency (%)
1 22
22.4%
2 15
15.3%
5 13
13.3%
7 10
10.2%
3 9
9.2%
6 8
 
8.2%
0 8
 
8.2%
4 5
 
5.1%
8 5
 
5.1%
9 3
 
3.1%
Space Separator
ValueCountFrequency (%)
90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 427
63.7%
Common 243
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
10.5%
45
10.5%
38
 
8.9%
31
 
7.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
Other values (25) 106
24.8%
Common
ValueCountFrequency (%)
90
37.0%
( 26
 
10.7%
) 26
 
10.7%
1 22
 
9.1%
2 15
 
6.2%
5 13
 
5.3%
7 10
 
4.1%
3 9
 
3.7%
6 8
 
3.3%
0 8
 
3.3%
Other values (4) 16
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 427
63.7%
ASCII 243
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
37.0%
( 26
 
10.7%
) 26
 
10.7%
1 22
 
9.1%
2 15
 
6.2%
5 13
 
5.3%
7 10
 
4.1%
3 9
 
3.7%
6 8
 
3.3%
0 8
 
3.3%
Other values (4) 16
 
6.6%
Hangul
ValueCountFrequency (%)
45
10.5%
45
10.5%
38
 
8.9%
31
 
7.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
27
 
6.3%
Other values (25) 106
24.8%
Distinct25
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-03-15T01:33:45.908257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length21.296296
Min length19

Characters and Unicode

Total characters575
Distinct characters38
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)88.9%

Sample

1st row부산광역시 연제구 연산동 706-11
2nd row부산광역시 연제구 연산동 662-69
3rd row부산광역시 연제구 거제동 457-10
4th row부산광역시 연제구 연산동 412-2
5th row부산광역시 연제구 거제동 1188-16
ValueCountFrequency (%)
연제구 27
23.9%
부산광역시 26
23.0%
연산동 18
15.9%
거제동 6
 
5.3%
아시아드대로 3
 
2.7%
107(거제동 3
 
2.7%
중앙대로 2
 
1.8%
457-10 1
 
0.9%
412-2 1
 
0.9%
지번부산광역시 1
 
0.9%
Other values (25) 25
22.1%
2024-03-15T01:33:47.179213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
15.7%
45
 
7.8%
45
 
7.8%
36
 
6.3%
30
 
5.2%
27
 
4.7%
27
 
4.7%
27
 
4.7%
27
 
4.7%
27
 
4.7%
Other values (28) 194
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
58.1%
Decimal Number 119
 
20.7%
Space Separator 90
 
15.7%
Dash Punctuation 20
 
3.5%
Close Punctuation 6
 
1.0%
Open Punctuation 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
13.5%
45
13.5%
36
10.8%
30
9.0%
27
8.1%
27
8.1%
27
8.1%
27
8.1%
27
8.1%
9
 
2.7%
Other values (14) 34
10.2%
Decimal Number
ValueCountFrequency (%)
1 26
21.8%
6 14
11.8%
2 14
11.8%
8 13
10.9%
7 11
9.2%
0 10
 
8.4%
4 10
 
8.4%
5 9
 
7.6%
3 8
 
6.7%
9 4
 
3.4%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
58.1%
Common 241
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
13.5%
45
13.5%
36
10.8%
30
9.0%
27
8.1%
27
8.1%
27
8.1%
27
8.1%
27
8.1%
9
 
2.7%
Other values (14) 34
10.2%
Common
ValueCountFrequency (%)
90
37.3%
1 26
 
10.8%
- 20
 
8.3%
6 14
 
5.8%
2 14
 
5.8%
8 13
 
5.4%
7 11
 
4.6%
0 10
 
4.1%
4 10
 
4.1%
5 9
 
3.7%
Other values (4) 24
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
58.1%
ASCII 241
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
37.3%
1 26
 
10.8%
- 20
 
8.3%
6 14
 
5.8%
2 14
 
5.8%
8 13
 
5.4%
7 11
 
4.6%
0 10
 
4.1%
4 10
 
4.1%
5 9
 
3.7%
Other values (4) 24
 
10.0%
Hangul
ValueCountFrequency (%)
45
13.5%
45
13.5%
36
10.8%
30
9.0%
27
8.1%
27
8.1%
27
8.1%
27
8.1%
27
8.1%
9
 
2.7%
Other values (14) 34
10.2%

홈페이지주소
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing17
Missing (%)63.0%
Memory size344.0 B
2024-03-15T01:33:47.894987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22.5
Mean length22.4
Min length15

Characters and Unicode

Total characters224
Distinct characters36
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st rowhttp://cafe.daum.net/eco-1004
2nd rowhttp://www.bsjahwal.or.kr
3rd rowhttp://www.꿈드림키즈.com
4th rowhttp://www.greentrip.co.kr
5th rowhttp://www.bokjiplan.co.kr
ValueCountFrequency (%)
http://cafe.daum.net/eco-1004 1
10.0%
http://www.bsjahwal.or.kr 1
10.0%
http://www.꿈드림키즈.com 1
10.0%
http://www.greentrip.co.kr 1
10.0%
http://www.bokjiplan.co.kr 1
10.0%
http://www.funcoop.kr 1
10.0%
www.sarmteo.com 1
10.0%
http://www.fmyj1063.net 1
10.0%
http://da-o.co.kr 1
10.0%
http://www.storypal.co 1
10.0%
2024-03-15T01:33:48.964440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 25
 
11.2%
. 23
 
10.3%
t 23
 
10.3%
/ 19
 
8.5%
o 14
 
6.2%
p 13
 
5.8%
h 10
 
4.5%
r 10
 
4.5%
c 9
 
4.0%
: 9
 
4.0%
Other values (26) 69
30.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 158
70.5%
Other Punctuation 51
 
22.8%
Decimal Number 8
 
3.6%
Other Letter 5
 
2.2%
Dash Punctuation 2
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 25
15.8%
t 23
14.6%
o 14
8.9%
p 13
 
8.2%
h 10
 
6.3%
r 10
 
6.3%
c 9
 
5.7%
a 8
 
5.1%
e 7
 
4.4%
k 6
 
3.8%
Other values (12) 33
20.9%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
1 2
25.0%
6 1
 
12.5%
4 1
 
12.5%
3 1
 
12.5%
Other Letter
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 23
45.1%
/ 19
37.3%
: 9
 
17.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 158
70.5%
Common 61
 
27.2%
Hangul 5
 
2.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 25
15.8%
t 23
14.6%
o 14
8.9%
p 13
 
8.2%
h 10
 
6.3%
r 10
 
6.3%
c 9
 
5.7%
a 8
 
5.1%
e 7
 
4.4%
k 6
 
3.8%
Other values (12) 33
20.9%
Common
ValueCountFrequency (%)
. 23
37.7%
/ 19
31.1%
: 9
 
14.8%
0 3
 
4.9%
- 2
 
3.3%
1 2
 
3.3%
6 1
 
1.6%
4 1
 
1.6%
3 1
 
1.6%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
97.8%
Hangul 5
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 25
 
11.4%
. 23
 
10.5%
t 23
 
10.5%
/ 19
 
8.7%
o 14
 
6.4%
p 13
 
5.9%
h 10
 
4.6%
r 10
 
4.6%
c 9
 
4.1%
: 9
 
4.1%
Other values (21) 64
29.2%
Hangul
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size344.0 B
2024-02-20
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-20
2nd row2024-02-20
3rd row2024-02-20
4th row2024-02-20
5th row2024-02-20

Common Values

ValueCountFrequency (%)
2024-02-20 27
100.0%

Length

2024-03-15T01:33:49.196783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:33:49.495698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-20 27
100.0%

Correlations

2024-03-15T01:33:49.761562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.6491.0000.0000.0000.0000.7941.0001.0001.0000.8170.9781.000
주된목적1.0000.6491.0001.0000.2600.2600.2600.7941.0001.0001.0000.9691.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인증(지정)여부1.0000.0000.2601.0001.0000.9930.9931.0001.0001.0001.0001.0001.0001.000
예비형태1.0000.0000.2601.0000.9931.0000.9931.0001.0001.0001.0001.0001.0001.000
부처형태1.0000.0000.2601.0000.9930.9931.0001.0001.0001.0001.0001.0001.0001.000
인증(지정)일자1.0000.7940.7941.0001.0001.0001.0001.0001.0001.0001.0000.9901.0001.000
인증(지정)번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0000.8170.9691.0001.0001.0001.0000.9901.0001.0001.0001.0001.0001.000
소재지지번주소1.0000.9781.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-15T01:33:50.118639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야부처형태예비형태주된목적인증(지정)여부
사회서비스분야1.0000.0000.0000.3540.000
부처형태0.0001.0000.9230.1490.923
예비형태0.0000.9231.0000.1490.923
주된목적0.3540.1490.1491.0000.149
인증(지정)여부0.0000.9230.9230.1491.000
2024-03-15T01:33:50.392818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적인증(지정)여부예비형태부처형태
사회서비스분야1.0000.3540.0000.0000.000
주된목적0.3541.0000.1490.1490.149
인증(지정)여부0.0000.1491.0000.9230.923
예비형태0.0000.1490.9231.0000.923
부처형태0.0000.1490.9230.9231.000

Missing values

2024-03-15T01:33:27.247231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:33:27.816105image/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.
2024-03-15T01:33:28.295180image/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

기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
0자연애친구들교육기타(창의,혁신)형생태해설, 환경체험 교실YN사회적기업2010-12-22제2010-173호최문영051-506-1860부산광역시 연제구 월드컵대로91번가길 28(연산동)부산광역시 연제구 연산동 706-11http://cafe.daum.net/eco-10042024-02-20
1(주)부산광역주거복지센터사회복지일자리제공형주택개량, 석면해체YN사회적기업2012-09-07제2012-052호서상복051-710-5794부산광역시 연제구 대리로6번길 67(연산동)부산광역시 연제구 연산동 662-69<NA>2024-02-20
2(사)부산돌봄사회서비스센터간병및가사지원일자리제공형공동간병 산모도우미YN사회적기업2013-12-17제2013-208호안혜경051-852-0525부산광역시 연제구 거제천로 89(거제동)부산광역시 연제구 거제동 457-10http://www.bsjahwal.or.kr2024-02-20
3㈜꿈드림키즈교육일자리제공형영유아 감성체육사업YN사회적기업2014-05-15제2014-061호이상목051-868-3523부산광역시 연제구 과정로 225번길 23(연산동)부산광역시 연제구 연산동 412-2http://www.꿈드림키즈.com2024-02-20
4㈜초록배낭관광, 운동혼합형교육탐방, 현장체험학습YN사회적기업2016-12-27제2016-250호채유진051-701-5006부산광역시 연제구 월드컵대로 217(거제동)부산광역시 연제구 거제동 1188-16http://www.greentrip.co.kr2024-02-20
5㈜토요청소 등 사업시설관리일자리제공형일반경비 및 위생관리용역, 소독업, 저수조청소업YN사회적기업2019-03-07제2019-026호임태완051-865-0166부산광역시 연제구 쌍미천로 125-1(연산동)부산광역시 연제구 연산동 638-10<NA>2024-02-20
6복지플랜㈜관광, 운동사회서비스제공형무장애 문화탐방YN사회적기업2019-12-31제2019-343호이현진051-911-8298부산광역시 연제구 신촌로 8-1(연산동)부산광역시 연제구 연산동 1492-20http://www.bokjiplan.co.kr2024-02-20
7협동조합 매일매일즐거워교육기타(창의,혁신)형스마트팜 사업(송육고버섯, 파생상품 제조/판매), 느린학습자 교육(체험학교 운영), 사회통합 플랫폼(토요 체험학교 운영)YN사회적기업2019-12-31제2019-351호황태연051-715-3350부산광역시 연제구 거제대로 123(거제동)부산광역시 연제구 거제동 676-1http://www.funcoop.kr2024-02-20
8㈜오감기타일자리제공형취약계층의 자립을 돕기위한 전문기술 교육(철거,타일,설비교육, 욕실 인테리어 및 리모델링, 욕실용품 판매 등)YN사회적기업2021-03-10제2021-037호조지현051-851-1239부산광역시 연제구 고분로235번길 65(연산동)부산광역시 연제구 연산동 469-3<NA>2024-02-20
9㈜부산에스비엠청소 등 사업시설관리일자리제공형에어컨 유지보수 및 세척, 건물 위생 관리YN사회적기업2022-12-22제2022-366호홍춘도051-522-6622부산광역시 연제구 과정로 270(연산동)부산광역시 연제구 연산동 382-48<NA>2024-02-20
기관명사회서비스분야주된목적사업내용인증(지정)여부예비형태부처형태인증(지정)일자인증(지정)번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
17㈜실버브레인케어교육사회서비스제공형고령자 대상으로 치매 인지 등의 강사 교육 및 파견NY예비사회적기업2022-10-27제2022-19호고희원070-8286-2314부산광역시 연제구 월드컵대로145번길 67(연산동)부산광역시 연제구 연산동 1384-17<NA>2024-02-20
18㈜아그데아그데기타사회서비스제공형발달장애가정 자립 기반 베이킹, 수공예품 제작 및 교육NY예비사회적기업2022-10-27제2022-18호임혜정<NA>부산광역시 연제구 중앙대로1134번길 34(연산동)부산광역시 연제구 연산동 588-6<NA>2024-02-20
19함께가는길협동조합사회서비스제공형일자리제공형방문택배 시스템 운영NY예비사회적기업2022-10-27제2022-21호한영욱051-523-6823부산광역시 연제구 과정로265번길 35(연산동)부산광역시 연제구 연산동 1056-5http://da-o.co.kr2024-02-20
20서로서로그림책협동조합교육사회서비스제공형그림책 관련 교육서비스 제공, 그림책 워크북 제작 및 판매 등NY예비사회적기업2023-12-08제2023-042호박정현<NA>부산광역시 연제구 아시아드대로 107(거제동)부산광역시 연제구 아시아드대로 107(거제동)<NA>2024-02-20
21주식회사 이롭교육사회서비스제공형손발톱케어 기술교육 및 서비스제공NY예비사회적기업2023-12-08제2023-042호김지연<NA>부산광역시 연제구 아시아드대로 107(거제동)부산광역시 연제구 아시아드대로 107(거제동)<NA>2024-02-20
22주식회사 허리업관광, 운동사회서비스제공형고령자 대상 피트니스, 건강케어 프로그램 등 운영NY예비사회적기업2023-12-08제2023-041호김수현<NA>부산광역시 연제구 아시아드대로 107(거제동)부산광역시 연제구 아시아드대로 107(거제동)<NA>2024-02-20
23(주)마음알지사회복지사회서비스제공형심리상담 및 교육NY예비사회적기업2023-10-31제2023-10호윤치연<NA>부산광역시 연제구 중앙대로 1243 (거제동)부산광역시 연제구 중앙대로 1243 (거제동)<NA>2024-02-20
24주식회사랄라플라문화, 예술혼합형계절 꽃 판매, 구독, 교육NY예비사회적기업2022-12-09제2022-080호김유정070-7589-1223부산광역시 연제구 과정로265번길 35(연산동)부산광역시 연제구 고분로56번길 2 (연산동) 1층<NA>2024-02-20
25㈜스토리팔교육기타(창의,혁신)형온라인 국제교류 플랫폼 개발 및 운영NY예비사회적기업2021-12-30제2021-131호최희화<NA>부산광역시 연제구 아시아드대로 107(거제동)부산광역시 연제구 거제동 891-2http://www.storypal.co2024-02-20
26㈜코너스튜디오문화, 예술기타(창의,혁신)형웹툰 제작 및 캐릭터 컨텐츠 제작NY예비사회적기업2022-10-11제2022-001호이영주051-850-1020부산광역시 연제구 고분로 170(연산동)지번부산광역시 연제구 연산동 277-4<NA>2024-02-20