Overview

Dataset statistics

Number of variables12
Number of observations30
Missing cells60
Missing cells (%)16.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory102.4 B

Variable types

Text6
Categorical3
DateTime1
Unsupported2

Dataset

Description통합 창원시 관내 사회적기업현황(기관명, 사회서비스분야, 사업내용, 소재지주소 등)에 관한 자료이오니, 참고하시기 바랍니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15008481

Alerts

데이터기준일자 has constant value ""Constant
주된목적 is highly imbalanced (58.2%)Imbalance
소재지지번주소 has 30 (100.0%) missing valuesMissing
홈페이지주소 has 30 (100.0%) missing valuesMissing
기관명 has unique valuesUnique
사업내용 has unique valuesUnique
인증번호 has unique valuesUnique
대표자명 has unique valuesUnique
연락처 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 00:04:31.268943
Analysis finished2023-12-11 00:04:32.211573
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T09:04:32.403882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13.5
Mean length9.7666667
Min length4

Characters and Unicode

Total characters293
Distinct characters122
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row(사)경상남도장애청소년문화교육진흥센터
2nd row(사)희망이룸
3rd row(유)마루
4th row(유)우렁각시
5th row(유)창원늘푸른사람들
ValueCountFrequency (%)
유한회사 2
 
5.0%
사)경상남도장애청소년문화교육진흥센터 1
 
2.5%
㈜늘푸른자원 1
 
2.5%
행복한동행 1
 
2.5%
㈜경남돌봄센터 1
 
2.5%
㈜경남조은인푸드 1
 
2.5%
㈜공공미디어 1
 
2.5%
단잠 1
 
2.5%
㈜굿윌경남 1
 
2.5%
㈜나누리 1
 
2.5%
Other values (29) 29
72.5%
2023-12-11T09:04:32.883818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 13
 
4.4%
) 13
 
4.4%
12
 
4.1%
10
 
3.4%
10
 
3.4%
9
 
3.1%
8
 
2.7%
7
 
2.4%
6
 
2.0%
6
 
2.0%
Other values (112) 199
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
82.6%
Open Punctuation 13
 
4.4%
Close Punctuation 13
 
4.4%
Other Symbol 10
 
3.4%
Space Separator 10
 
3.4%
Uppercase Letter 4
 
1.4%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
5.0%
9
 
3.7%
8
 
3.3%
7
 
2.9%
6
 
2.5%
6
 
2.5%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (103) 173
71.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Symbol
ValueCountFrequency (%)
10
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
86.0%
Common 37
 
12.6%
Latin 4
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
4.8%
10
 
4.0%
9
 
3.6%
8
 
3.2%
7
 
2.8%
6
 
2.4%
6
 
2.4%
6
 
2.4%
5
 
2.0%
5
 
2.0%
Other values (104) 178
70.6%
Common
ValueCountFrequency (%)
( 13
35.1%
) 13
35.1%
10
27.0%
. 1
 
2.7%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
82.6%
ASCII 41
 
14.0%
None 10
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 13
31.7%
) 13
31.7%
10
24.4%
. 1
 
2.4%
A 1
 
2.4%
C 1
 
2.4%
M 1
 
2.4%
Y 1
 
2.4%
Hangul
ValueCountFrequency (%)
12
 
5.0%
9
 
3.7%
8
 
3.3%
7
 
2.9%
6
 
2.5%
6
 
2.5%
6
 
2.5%
5
 
2.1%
5
 
2.1%
5
 
2.1%
Other values (103) 173
71.5%
None
ValueCountFrequency (%)
10
100.0%
Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
기타
12 
간병및가사지원
예술·관광
청소
환경
Other values (2)

Length

Max length7
Median length2
Mean length3.8
Min length2

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row기타
2nd row예술·관광
3rd row환경
4th row간병및가사지원
5th row청소

Common Values

ValueCountFrequency (%)
기타 12
40.0%
간병및가사지원 7
23.3%
예술·관광 4
 
13.3%
청소 3
 
10.0%
환경 2
 
6.7%
사업시설관리 1
 
3.3%
고용서비스 1
 
3.3%

Length

2023-12-11T09:04:33.032910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:04:33.190685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 12
40.0%
간병및가사지원 7
23.3%
예술·관광 4
 
13.3%
청소 3
 
10.0%
환경 2
 
6.7%
사업시설관리 1
 
3.3%
고용서비스 1
 
3.3%

주된목적
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
일자리제공형
25 
기타형
 
2
사회서비스제공형
 
1
혼합형
 
1
지역사회공헌형
 
1

Length

Max length8
Median length6
Mean length5.8
Min length3

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
일자리제공형 25
83.3%
기타형 2
 
6.7%
사회서비스제공형 1
 
3.3%
혼합형 1
 
3.3%
지역사회공헌형 1
 
3.3%

Length

2023-12-11T09:04:33.350442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:04:33.465437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 25
83.3%
기타형 2
 
6.7%
사회서비스제공형 1
 
3.3%
혼합형 1
 
3.3%
지역사회공헌형 1
 
3.3%

사업내용
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T09:04:33.710614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length21
Mean length17.433333
Min length4

Characters and Unicode

Total characters523
Distinct characters157
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row발달장애인 직업교육 서비스
2nd row지적장애아동 오케스트라 및 교구교재 개발사업
3rd row재활용품수집 및 공방판매, 제작
4th row가사관리사 파견 및 식당 운영
5th row학교·건물 등 청소 및 소독, 청소용품 판매
ValueCountFrequency (%)
11
 
9.5%
판매 5
 
4.3%
제작 3
 
2.6%
서비스 3
 
2.6%
제공 2
 
1.7%
2
 
1.7%
급식 2
 
1.7%
식당 2
 
1.7%
운영 2
 
1.7%
수거 2
 
1.7%
Other values (80) 82
70.7%
2023-12-11T09:04:34.110015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
16.4%
, 20
 
3.8%
14
 
2.7%
12
 
2.3%
11
 
2.1%
10
 
1.9%
10
 
1.9%
10
 
1.9%
9
 
1.7%
9
 
1.7%
Other values (147) 332
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 411
78.6%
Space Separator 86
 
16.4%
Other Punctuation 21
 
4.0%
Uppercase Letter 2
 
0.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Final Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
3.4%
12
 
2.9%
11
 
2.7%
10
 
2.4%
10
 
2.4%
10
 
2.4%
9
 
2.2%
9
 
2.2%
8
 
1.9%
8
 
1.9%
Other values (139) 310
75.4%
Other Punctuation
ValueCountFrequency (%)
, 20
95.2%
· 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 411
78.6%
Common 110
 
21.0%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
3.4%
12
 
2.9%
11
 
2.7%
10
 
2.4%
10
 
2.4%
10
 
2.4%
9
 
2.2%
9
 
2.2%
8
 
1.9%
8
 
1.9%
Other values (139) 310
75.4%
Common
ValueCountFrequency (%)
86
78.2%
, 20
 
18.2%
( 1
 
0.9%
) 1
 
0.9%
· 1
 
0.9%
1
 
0.9%
Latin
ValueCountFrequency (%)
O 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 411
78.6%
ASCII 110
 
21.0%
None 1
 
0.2%
Punctuation 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
78.2%
, 20
 
18.2%
O 1
 
0.9%
A 1
 
0.9%
( 1
 
0.9%
) 1
 
0.9%
Hangul
ValueCountFrequency (%)
14
 
3.4%
12
 
2.9%
11
 
2.7%
10
 
2.4%
10
 
2.4%
10
 
2.4%
9
 
2.2%
9
 
2.2%
8
 
1.9%
8
 
1.9%
Other values (139) 310
75.4%
None
ValueCountFrequency (%)
· 1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2007-10-29 00:00:00
Maximum2015-12-28 00:00:00
2023-12-11T09:04:34.229773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:04:34.356029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인증번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T09:04:34.552328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9333333
Min length9

Characters and Unicode

Total characters298
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

Unique30 ?
Unique (%)100.0%

Sample

1st row제2014-133호
2nd row제2015-077호
3rd row제2014-087호
4th row제2013-111호
5th row제2009-041호
ValueCountFrequency (%)
제2014-133호 1
 
3.3%
제2015-077호 1
 
3.3%
제2015-203호 1
 
3.3%
제2010-090호 1
 
3.3%
제2011-065호 1
 
3.3%
제2015-157호 1
 
3.3%
제2008-018호 1
 
3.3%
제2013-213호 1
 
3.3%
제2013-84호 1
 
3.3%
제2007-035호 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T09:04:34.846725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54
18.1%
1 45
15.1%
2 40
13.4%
30
10.1%
- 30
10.1%
30
10.1%
3 13
 
4.4%
5 13
 
4.4%
8 12
 
4.0%
4 10
 
3.4%
Other values (3) 21
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 208
69.8%
Other Letter 60
 
20.1%
Dash Punctuation 30
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
26.0%
1 45
21.6%
2 40
19.2%
3 13
 
6.2%
5 13
 
6.2%
8 12
 
5.8%
4 10
 
4.8%
7 8
 
3.8%
6 8
 
3.8%
9 5
 
2.4%
Other Letter
ValueCountFrequency (%)
30
50.0%
30
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 238
79.9%
Hangul 60
 
20.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54
22.7%
1 45
18.9%
2 40
16.8%
- 30
12.6%
3 13
 
5.5%
5 13
 
5.5%
8 12
 
5.0%
4 10
 
4.2%
7 8
 
3.4%
6 8
 
3.4%
Hangul
ValueCountFrequency (%)
30
50.0%
30
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 238
79.9%
Hangul 60
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54
22.7%
1 45
18.9%
2 40
16.8%
- 30
12.6%
3 13
 
5.5%
5 13
 
5.5%
8 12
 
5.0%
4 10
 
4.2%
7 8
 
3.4%
6 8
 
3.4%
Hangul
ValueCountFrequency (%)
30
50.0%
30
50.0%

대표자명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T09:04:35.047941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1333333
Min length2

Characters and Unicode

Total characters94
Distinct characters50
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

Unique30 ?
Unique (%)100.0%

Sample

1st row손명숙
2nd row정수철
3rd row김여용
4th row김정호
5th row전창현
ValueCountFrequency (%)
손명숙 1
 
3.2%
박창균 1
 
3.2%
안명선 1
 
3.2%
김미숙 1
 
3.2%
윤선순 1
 
3.2%
임경희 1
 
3.2%
박상구 1
 
3.2%
김동해 1
 
3.2%
정보현 1
 
3.2%
김진수 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T09:04:35.406368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
8.5%
7
 
7.4%
5
 
5.3%
4
 
4.3%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.1%
2
 
2.1%
2
 
2.1%
Other values (40) 55
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
97.9%
Space Separator 1
 
1.1%
Other Punctuation 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
8.7%
7
 
7.6%
5
 
5.4%
4
 
4.3%
3
 
3.3%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (38) 53
57.6%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92
97.9%
Common 2
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
8.7%
7
 
7.6%
5
 
5.4%
4
 
4.3%
3
 
3.3%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (38) 53
57.6%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
97.9%
ASCII 2
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
8.7%
7
 
7.6%
5
 
5.4%
4
 
4.3%
3
 
3.3%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (38) 53
57.6%
ASCII
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

연락처
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T09:04:35.657193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.1
Min length12

Characters and Unicode

Total characters363
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

Unique30 ?
Unique (%)100.0%

Sample

1st row055-283-2572
2nd row055-263-5647
3rd row055-266-1945
4th row055-266-8219
5th row055-265-1945
ValueCountFrequency (%)
055-283-2572 1
 
3.3%
055-263-5647 1
 
3.3%
055-264-9394 1
 
3.3%
055-551-7550 1
 
3.3%
055-263-6543 1
 
3.3%
055-264-2985 1
 
3.3%
055-601-1004 1
 
3.3%
055-264-5487 1
 
3.3%
070-4363-2698 1
 
3.3%
055-298-1428 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T09:04:36.105837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 73
20.1%
- 60
16.5%
0 42
11.6%
2 40
11.0%
3 28
 
7.7%
6 25
 
6.9%
8 21
 
5.8%
4 20
 
5.5%
1 20
 
5.5%
9 19
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 303
83.5%
Dash Punctuation 60
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 73
24.1%
0 42
13.9%
2 40
13.2%
3 28
 
9.2%
6 25
 
8.3%
8 21
 
6.9%
4 20
 
6.6%
1 20
 
6.6%
9 19
 
6.3%
7 15
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 363
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 73
20.1%
- 60
16.5%
0 42
11.6%
2 40
11.0%
3 28
 
7.7%
6 25
 
6.9%
8 21
 
5.8%
4 20
 
5.5%
1 20
 
5.5%
9 19
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 73
20.1%
- 60
16.5%
0 42
11.6%
2 40
11.0%
3 28
 
7.7%
6 25
 
6.9%
8 21
 
5.8%
4 20
 
5.5%
1 20
 
5.5%
9 19
 
5.2%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T09:04:36.418060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length27.566667
Min length20

Characters and Unicode

Total characters827
Distinct characters93
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

Unique28 ?
Unique (%)93.3%

Sample

1st row경상남도 창원시 성산구 대암로 110, 302호(대방동, 성원남산3차아파트상가)
2nd row경상남도 창원시 의창구 사림로45번길 1(봉곡동)
3rd row경상남도 창원시 의창구 북면 운문로 853
4th row경상남도 창원시 의창구 상남로 258(신월동)
5th row경상남도 창원시 의창구 용지로 161
ValueCountFrequency (%)
경상남도 30
17.4%
창원시 30
17.4%
의창구 18
 
10.5%
성산구 6
 
3.5%
대산면 3
 
1.7%
마산합포구 3
 
1.7%
진해구 2
 
1.2%
용지로 2
 
1.2%
북성로 2
 
1.2%
북면 2
 
1.2%
Other values (72) 74
43.0%
2023-12-11T09:04:37.084138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
 
17.2%
50
 
6.0%
34
 
4.1%
34
 
4.1%
34
 
4.1%
31
 
3.7%
31
 
3.7%
30
 
3.6%
30
 
3.6%
28
 
3.4%
Other values (83) 383
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 532
64.3%
Space Separator 142
 
17.2%
Decimal Number 115
 
13.9%
Open Punctuation 13
 
1.6%
Close Punctuation 13
 
1.6%
Other Punctuation 7
 
0.8%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
9.4%
34
 
6.4%
34
 
6.4%
34
 
6.4%
31
 
5.8%
31
 
5.8%
30
 
5.6%
30
 
5.6%
28
 
5.3%
19
 
3.6%
Other values (68) 211
39.7%
Decimal Number
ValueCountFrequency (%)
1 25
21.7%
5 17
14.8%
2 15
13.0%
6 11
9.6%
0 11
9.6%
3 11
9.6%
4 9
 
7.8%
8 6
 
5.2%
9 6
 
5.2%
7 4
 
3.5%
Space Separator
ValueCountFrequency (%)
142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 532
64.3%
Common 295
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
9.4%
34
 
6.4%
34
 
6.4%
34
 
6.4%
31
 
5.8%
31
 
5.8%
30
 
5.6%
30
 
5.6%
28
 
5.3%
19
 
3.6%
Other values (68) 211
39.7%
Common
ValueCountFrequency (%)
142
48.1%
1 25
 
8.5%
5 17
 
5.8%
2 15
 
5.1%
( 13
 
4.4%
) 13
 
4.4%
6 11
 
3.7%
0 11
 
3.7%
3 11
 
3.7%
4 9
 
3.1%
Other values (5) 28
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 532
64.3%
ASCII 295
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
48.1%
1 25
 
8.5%
5 17
 
5.8%
2 15
 
5.1%
( 13
 
4.4%
) 13
 
4.4%
6 11
 
3.7%
0 11
 
3.7%
3 11
 
3.7%
4 9
 
3.1%
Other values (5) 28
 
9.5%
Hangul
ValueCountFrequency (%)
50
 
9.4%
34
 
6.4%
34
 
6.4%
34
 
6.4%
31
 
5.8%
31
 
5.8%
30
 
5.6%
30
 
5.6%
28
 
5.3%
19
 
3.6%
Other values (68) 211
39.7%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2016-05-31
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-05-31
2nd row2016-05-31
3rd row2016-05-31
4th row2016-05-31
5th row2016-05-31

Common Values

ValueCountFrequency (%)
2016-05-31 30
100.0%

Length

2023-12-11T09:04:37.230180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:04:37.343162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-05-31 30
100.0%

Correlations

2023-12-11T09:04:37.425162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용인증일자인증번호대표자명연락처소재지도로명주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.0001.0000.0001.0001.0001.0000.000
주된목적1.0000.0001.0001.0001.0001.0001.0001.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.0001.000
인증일자1.0000.0001.0001.0001.0001.0001.0001.0000.986
인증번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0000.0001.0001.0000.9861.0001.0001.0001.000
2023-12-11T09:04:37.577094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주된목적사회서비스분야
주된목적1.0000.000
사회서비스분야0.0001.000
2023-12-11T09:04:37.683031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적
사회서비스분야1.0000.000
주된목적0.0001.000

Missing values

2023-12-11T09:04:31.914771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:04:32.122977image/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

기관명사회서비스분야주된목적사업내용인증일자인증번호대표자명연락처소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
0(사)경상남도장애청소년문화교육진흥센터기타일자리제공형발달장애인 직업교육 서비스2014-09-19제2014-133호손명숙055-283-2572경상남도 창원시 성산구 대암로 110, 302호(대방동, 성원남산3차아파트상가)<NA><NA>2016-05-31
1(사)희망이룸예술·관광일자리제공형지적장애아동 오케스트라 및 교구교재 개발사업2015-06-01제2015-077호정수철055-263-5647경상남도 창원시 의창구 사림로45번길 1(봉곡동)<NA><NA>2016-05-31
2(유)마루환경일자리제공형재활용품수집 및 공방판매, 제작2014-06-30제2014-087호김여용055-266-1945경상남도 창원시 의창구 북면 운문로 853<NA><NA>2016-05-31
3(유)우렁각시간병및가사지원일자리제공형가사관리사 파견 및 식당 운영2012-09-03제2013-111호김정호055-266-8219경상남도 창원시 의창구 상남로 258(신월동)<NA><NA>2016-05-31
4(유)창원늘푸른사람들청소일자리제공형학교·건물 등 청소 및 소독, 청소용품 판매2009-11-11제2009-041호전창현055-265-1945경상남도 창원시 의창구 용지로 161<NA><NA>2016-05-31
5(유)창원주거에너지복지센터사업시설관리일자리제공형주거에너지복지 통합지원을위한 창원주거에너지복지센터 운영2014-12-16제2014-209호허정만055-273-2983경상남도 창원시 의창구 지귀로 116(봉곡동)<NA><NA>2016-05-31
6(유)풀뿌리문화공동체예종예술·관광사회서비스제공형공연서비스업, 공연기획, 문화예술관련 교육, 기업연수 서비스업2015-03-31제2015-008호배민055-266-0387경상남도 창원시 성산구 창이대로663번길 5(사파동, 미남빌딩 지하)<NA><NA>2016-05-31
7(유)희망하우징간병및가사지원일자리제공형지역저소득가구 주거복지 서비스2014-12-16제2014-212호김정희055-601-2233경상남도 창원시 마산회원구 북성로 256(석전동)<NA><NA>2016-05-31
8나눔터(사회복지법인 나눔복지재단)기타일자리제공형장애인 부품조립, 가공2008-04-17제2008-016호김상규055-286-3233경상남도 창원시 성산구 월림로 39번길 8-10<NA><NA>2016-05-31
9마산YMCA(그린푸드센터)기타일자리제공형식생활교육, 행복샵 매장운영, 친환경 급식2012-09-01제2013-168호조정림055-251-4837경상남도 창원시 마산합포구 북성로 10 3층<NA><NA>2016-05-31
기관명사회서비스분야주된목적사업내용인증일자인증번호대표자명연락처소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
20㈜나누리기타일자리제공형인쇄 및 출판과 관련한 사업2015-06-01제2015-079호지민안, 이성자070-4115-4348경상남도 창원시 진해구 조천북로 62, 202-1(경화동, 대흥하이존)<NA><NA>2016-05-31
21㈜늘푸른자원환경기타형폐OA수거,분해,판매2007-10-29제2007-035호김진수055-298-1428경상남도 창원시 의창구 북면 백월로74번길 9<NA><NA>2016-05-31
22㈜참다올푸드기타일자리제공형중소기업 식당 위탁급식2012-09-01제2013-84호정보현070-4363-2698경상남도 창원시 의창구 죽전로 20(팔용동)<NA><NA>2016-05-31
23㈜파이디아예술·관광일자리제공형전통놀이 및 문화예술체험 교육2013-12-17제2013-213호김동해055-264-5487경상남도 창원시 의창구 신월로42(136호) 토월복합상가<NA><NA>2016-05-31
24㈜한찬코리아기타일자리제공형인쇄출판 및 제조업2008-04-17제2008-018호박상구055-601-1004경상남도 창원시 의창구 천주로1번길 14<NA><NA>2016-05-31
25창원돌봄센터협동조합간병및가사지원일자리제공형보호자없는 병실 공동간병서비스 제공2015-09-22제2015-157호임경희055-264-2985경상남도 창원시 의창구 지귀로 116(봉곡동)<NA><NA>2016-05-31
26한울타리사람들청소일자리제공형청소,용역사업, 조사통계업2011-09-30제2011-065호윤선순055-263-6543경상남도 창원시 의창구 남산로9번길 54-6<NA><NA>2016-05-31
27해피푸드 주식회사간병및가사지원일자리제공형도시락 판매, 독거어르신 및 저소득청소년 급식 제공2010-10-20제2010-090호김미숙055-551-7550경상남도 창원시 진해구 진해대로 1101<NA><NA>2016-05-31
28㈜해맑음기타혼합형창의적 체험활동 제작 판매 및 강의2015-11-20제2015-203호안명선055-264-9394경상남도 창원시 의창구 신월로 5번길 28<NA><NA>2016-05-31
29(유)바람골그가게기타지역사회공헌형바람골그가게 희망품앗이사업2015-12-28제2015-264호이옥선055-263-4678경상남도 창원시 성산구 안민로 159번길 13<NA><NA>2016-05-31