Overview

Dataset statistics

Number of variables13
Number of observations31
Missing cells62
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory110.3 B

Variable types

Text6
Categorical3
Boolean1
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

인증여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주된목적 is highly imbalanced (50.6%)Imbalance
소재지지번주소 has 31 (100.0%) missing valuesMissing
홈페이지주소 has 31 (100.0%) missing valuesMissing
기관명 has unique valuesUnique
인증번호 has unique valuesUnique
대표자명 has unique valuesUnique
전화번호 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 00:04:53.256361
Analysis finished2023-12-11 00:04:54.130656
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T09:04:54.288447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length9.483871
Min length4

Characters and Unicode

Total characters294
Distinct characters120
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

Unique31 ?
Unique (%)100.0%

Sample

1st row유한회사 함께걷는 발달연구소
2nd row경남대학교 조이스쿨㈜
3rd row(유)바람골그가게
4th row㈜해맑음
5th row해피푸드 주식회사
ValueCountFrequency (%)
유한회사 3
 
6.8%
주식회사 2
 
4.5%
나눔터(사회복지법인 1
 
2.3%
위드다감 1
 
2.3%
협동조합 1
 
2.3%
사회복지법인 1
 
2.3%
아그네스복지재단(행복주식회사 1
 
2.3%
사단법인 1
 
2.3%
함께하는 1
 
2.3%
여성 1
 
2.3%
Other values (31) 31
70.5%
2023-12-11T09:04:54.699149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 13
 
4.4%
13
 
4.4%
( 11
 
3.7%
㈜ 11
 
3.7%
) 11
 
3.7%
유 10
 
3.4%
회 8
 
2.7%
복 7
 
2.4%
한 6
 
2.0%
지 6
 
2.0%
Other values (110) 198
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
84.4%
Space Separator 13
 
4.4%
Open Punctuation 11
 
3.7%
Other Symbol 11
 
3.7%
Close Punctuation 11
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 13
 
5.2%
유 10
 
4.0%
회 8
 
3.2%
복 7
 
2.8%
한 6
 
2.4%
지 6
 
2.4%
터 5
 
2.0%
경 5
 
2.0%
남 5
 
2.0%
푸 5
 
2.0%
Other values (106) 178
71.8%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
88.1%
Common 35
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 13
 
5.0%
㈜ 11
 
4.2%
유 10
 
3.9%
회 8
 
3.1%
복 7
 
2.7%
한 6
 
2.3%
지 6
 
2.3%
터 5
 
1.9%
경 5
 
1.9%
남 5
 
1.9%
Other values (107) 183
70.7%
Common
ValueCountFrequency (%)
13
37.1%
( 11
31.4%
) 11
31.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
84.4%
ASCII 35
 
11.9%
None 11
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 13
 
5.2%
유 10
 
4.0%
회 8
 
3.2%
복 7
 
2.8%
한 6
 
2.4%
지 6
 
2.4%
터 5
 
2.0%
경 5
 
2.0%
남 5
 
2.0%
푸 5
 
2.0%
Other values (106) 178
71.8%
ASCII
ValueCountFrequency (%)
13
37.1%
( 11
31.4%
) 11
31.4%
None
ValueCountFrequency (%)
㈜ 11
100.0%

사회서비스분야
Categorical

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
기타
16 
청소
4 
간병및가사지원
4 
예술·관광
3 
환경
3 

Length

Max length7
Median length2
Mean length2.9354839
Min length2

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
기타 16
51.6%
청소 4
 
12.9%
간병및가사지원 4
 
12.9%
예술·관광 3
 
9.7%
환경 3
 
9.7%
보육 1
 
3.2%

Length

2023-12-11T09:04:54.839773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:04:54.949814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 16
51.6%
청소 4
 
12.9%
간병및가사지원 4
 
12.9%
예술·관광 3
 
9.7%
환경 3
 
9.7%
보육 1
 
3.2%

주된목적
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
일자리제공형
24 
기타형
4 
사회서비스제공형
 
1
지역사회공헌형
 
1
혼합형
 
1

Length

Max length8
Median length6
Mean length5.6129032
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row사회서비스제공형
2nd row기타형
3rd row지역사회공헌형
4th row혼합형
5th row일자리제공형

Common Values

ValueCountFrequency (%)
일자리제공형 24
77.4%
기타형 4
 
12.9%
사회서비스제공형 1
 
3.2%
지역사회공헌형 1
 
3.2%
혼합형 1
 
3.2%

Length

2023-12-11T09:04:55.090451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:04:55.203624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 24
77.4%
기타형 4
 
12.9%
사회서비스제공형 1
 
3.2%
지역사회공헌형 1
 
3.2%
혼합형 1
 
3.2%

사업내용
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T09:04:55.442508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length24
Mean length17.064516
Min length4

Characters and Unicode

Total characters529
Distinct characters146
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row장애아동 평가 및 교육, 장애 체육프로그램 사업
2nd row방과후 학교 운영
3rd row친환경제품 제작 판매
4th row창의적 체험 프로그램 활동 및 체험 카페 운영
5th row도시락 판매, 독거어르신 및 저소득청소년 급식 제공
ValueCountFrequency (%)
및 13
 
10.3%
판매 4
 
3.2%
교육 3
 
2.4%
사업 3
 
2.4%
서비스 3
 
2.4%
운영 3
 
2.4%
간병사업 2
 
1.6%
체험 2
 
1.6%
주거환경개선사업 2
 
1.6%
보호자없는 2
 
1.6%
Other values (83) 89
70.6%
2023-12-11T09:04:55.848505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
18.0%
, 23
 
4.3%
업 20
 
3.8%
사 18
 
3.4%
및 13
 
2.5%
소 11
 
2.1%
비 9
 
1.7%
교 9
 
1.7%
제 8
 
1.5%
경 8
 
1.5%
Other values (136) 315
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
76.9%
Space Separator 95
 
18.0%
Other Punctuation 24
 
4.5%
Uppercase Letter 2
 
0.4%
Final Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 20
 
4.9%
사 18
 
4.4%
및 13
 
3.2%
소 11
 
2.7%
비 9
 
2.2%
교 9
 
2.2%
제 8
 
2.0%
경 8
 
2.0%
스 7
 
1.7%
판 7
 
1.7%
Other values (130) 297
73.0%
Other Punctuation
ValueCountFrequency (%)
, 23
95.8%
· 1
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 407
76.9%
Common 120
 
22.7%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 20
 
4.9%
사 18
 
4.4%
및 13
 
3.2%
소 11
 
2.7%
비 9
 
2.2%
교 9
 
2.2%
제 8
 
2.0%
경 8
 
2.0%
스 7
 
1.7%
판 7
 
1.7%
Other values (130) 297
73.0%
Common
ValueCountFrequency (%)
95
79.2%
, 23
 
19.2%
· 1
 
0.8%
’ 1
 
0.8%
Latin
ValueCountFrequency (%)
O 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
76.9%
ASCII 120
 
22.7%
None 1
 
0.2%
Punctuation 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
79.2%
, 23
 
19.2%
O 1
 
0.8%
A 1
 
0.8%
Hangul
ValueCountFrequency (%)
업 20
 
4.9%
사 18
 
4.4%
및 13
 
3.2%
소 11
 
2.7%
비 9
 
2.2%
교 9
 
2.2%
제 8
 
2.0%
경 8
 
2.0%
스 7
 
1.7%
판 7
 
1.7%
Other values (130) 297
73.0%
None
ValueCountFrequency (%)
· 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

인증여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size163.0 B
True
31 
ValueCountFrequency (%)
True 31
100.0%
2023-12-11T09:04:55.969949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증일자
Date

Distinct23
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
Minimum2007-10-29 00:00:00
Maximum2016-06-29 00:00:00
2023-12-11T09:04:56.068259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:04:56.188191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인증번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T09:04:56.398178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9354839
Min length9

Characters and Unicode

Total characters308
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

Unique31 ?
Unique (%)100.0%

Sample

1st row제2016-083호
2nd row제2016-011호
3rd row제2015-264호
4th row제2015-203호
5th row제2010-090호
ValueCountFrequency (%)
제2016-083호 1
 
3.2%
제2015-156호 1
 
3.2%
제2015-077호 1
 
3.2%
제2014-087호 1
 
3.2%
제2013-111호 1
 
3.2%
제2009-041호 1
 
3.2%
제2014-209호 1
 
3.2%
제2015-008호 1
 
3.2%
제2014-212호 1
 
3.2%
제2008-016호 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T09:04:56.788837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57
18.5%
1 47
15.3%
2 41
13.3%
제 31
10.1%
- 31
10.1%
호 31
10.1%
3 13
 
4.2%
5 13
 
4.2%
8 12
 
3.9%
4 10
 
3.2%
Other values (3) 22
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 215
69.8%
Other Letter 62
 
20.1%
Dash Punctuation 31
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57
26.5%
1 47
21.9%
2 41
19.1%
3 13
 
6.0%
5 13
 
6.0%
8 12
 
5.6%
4 10
 
4.7%
6 9
 
4.2%
7 8
 
3.7%
9 5
 
2.3%
Other Letter
ValueCountFrequency (%)
제 31
50.0%
호 31
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 246
79.9%
Hangul 62
 
20.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57
23.2%
1 47
19.1%
2 41
16.7%
- 31
12.6%
3 13
 
5.3%
5 13
 
5.3%
8 12
 
4.9%
4 10
 
4.1%
6 9
 
3.7%
7 8
 
3.3%
Hangul
ValueCountFrequency (%)
제 31
50.0%
호 31
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 246
79.9%
Hangul 62
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57
23.2%
1 47
19.1%
2 41
16.7%
- 31
12.6%
3 13
 
5.3%
5 13
 
5.3%
8 12
 
4.9%
4 10
 
4.1%
6 9
 
3.7%
7 8
 
3.3%
Hangul
ValueCountFrequency (%)
제 31
50.0%
호 31
50.0%

대표자명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T09:04:57.026141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1290323
Min length2

Characters and Unicode

Total characters97
Distinct characters53
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

Unique31 ?
Unique (%)100.0%

Sample

1st row김소형
2nd row김경희
3rd row이옥선
4th row안명선
5th row김옥희
ValueCountFrequency (%)
김소형 1
 
3.1%
김경희 1
 
3.1%
정수철 1
 
3.1%
김여용 1
 
3.1%
김정호 1
 
3.1%
전창현 1
 
3.1%
최영준 1
 
3.1%
배민 1
 
3.1%
김정희 1
 
3.1%
김상규 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T09:04:57.627468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 9
 
9.3%
정 6
 
6.2%
이 5
 
5.2%
선 4
 
4.1%
민 3
 
3.1%
숙 3
 
3.1%
희 3
 
3.1%
옥 2
 
2.1%
동 2
 
2.1%
창 2
 
2.1%
Other values (43) 58
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95
97.9%
Space Separator 1
 
1.0%
Other Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 9
 
9.5%
정 6
 
6.3%
이 5
 
5.3%
선 4
 
4.2%
민 3
 
3.2%
숙 3
 
3.2%
희 3
 
3.2%
옥 2
 
2.1%
동 2
 
2.1%
창 2
 
2.1%
Other values (41) 56
58.9%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95
97.9%
Common 2
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 9
 
9.5%
정 6
 
6.3%
이 5
 
5.3%
선 4
 
4.2%
민 3
 
3.2%
숙 3
 
3.2%
희 3
 
3.2%
옥 2
 
2.1%
동 2
 
2.1%
창 2
 
2.1%
Other values (41) 56
58.9%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95
97.9%
ASCII 2
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 9
 
9.5%
정 6
 
6.3%
이 5
 
5.3%
선 4
 
4.2%
민 3
 
3.2%
숙 3
 
3.2%
희 3
 
3.2%
옥 2
 
2.1%
동 2
 
2.1%
창 2
 
2.1%
Other values (41) 56
58.9%
ASCII
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T09:04:57.898287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.064516
Min length12

Characters and Unicode

Total characters374
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

Unique31 ?
Unique (%)100.0%

Sample

1st row055-289-6694
2nd row055-222-2314
3rd row055-263-4678
4th row055-264-9394
5th row055-540-0232
ValueCountFrequency (%)
055-289-6694 1
 
3.2%
055-289-8269 1
 
3.2%
055-263-5647 1
 
3.2%
055-266-1945 1
 
3.2%
055-266-8219 1
 
3.2%
055-265-1945 1
 
3.2%
055-273-2983 1
 
3.2%
055-266-0387 1
 
3.2%
055-601-2233 1
 
3.2%
055-286-3233 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T09:04:58.341655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 72
19.3%
- 62
16.6%
0 45
12.0%
2 44
11.8%
3 29
7.8%
6 25
 
6.7%
8 23
 
6.1%
1 23
 
6.1%
4 20
 
5.3%
9 19
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 312
83.4%
Dash Punctuation 62
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 72
23.1%
0 45
14.4%
2 44
14.1%
3 29
9.3%
6 25
 
8.0%
8 23
 
7.4%
1 23
 
7.4%
4 20
 
6.4%
9 19
 
6.1%
7 12
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 374
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 72
19.3%
- 62
16.6%
0 45
12.0%
2 44
11.8%
3 29
7.8%
6 25
 
6.7%
8 23
 
6.1%
1 23
 
6.1%
4 20
 
5.3%
9 19
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 374
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 72
19.3%
- 62
16.6%
0 45
12.0%
2 44
11.8%
3 29
7.8%
6 25
 
6.7%
8 23
 
6.1%
1 23
 
6.1%
4 20
 
5.3%
9 19
 
5.1%

소재지도로명주소
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T09:04:58.630482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length27.225806
Min length19

Characters and Unicode

Total characters844
Distinct characters99
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

Unique29 ?
Unique (%)93.5%

Sample

1st row경상남도 창원시 의창구 사림로 63
2nd row경상남도 창원시 마산합포구 경남대학로 7(경남대학교 한마관 5층)
3rd row경상남도 창원시 성산구 안민로 159번길 13
4th row경상남도 창원시 의창구 신월로 5번길 28
5th row경상남도 창원시 진해구 진해대로 1101
ValueCountFrequency (%)
경상남도 31
17.4%
창원시 31
17.4%
의창구 19
 
10.7%
성산구 6
 
3.4%
대산면 3
 
1.7%
마산합포구 3
 
1.7%
북면 2
 
1.1%
용지로 2
 
1.1%
진해구 2
 
1.1%
28 2
 
1.1%
Other values (74) 77
43.3%
2023-12-11T09:04:58.997073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
17.4%
창 51
 
6.0%
남 37
 
4.4%
경 34
 
4.0%
상 34
 
4.0%
원 33
 
3.9%
도 32
 
3.8%
시 31
 
3.7%
구 31
 
3.7%
로 29
 
3.4%
Other values (89) 385
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 542
64.2%
Space Separator 147
 
17.4%
Decimal Number 119
 
14.1%
Close Punctuation 13
 
1.5%
Open Punctuation 13
 
1.5%
Other Punctuation 5
 
0.6%
Dash Punctuation 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 51
 
9.4%
남 37
 
6.8%
경 34
 
6.3%
상 34
 
6.3%
원 33
 
6.1%
도 32
 
5.9%
시 31
 
5.7%
구 31
 
5.7%
로 29
 
5.4%
의 20
 
3.7%
Other values (74) 210
38.7%
Decimal Number
ValueCountFrequency (%)
1 25
21.0%
5 19
16.0%
2 18
15.1%
3 11
9.2%
6 11
9.2%
4 8
 
6.7%
0 8
 
6.7%
8 8
 
6.7%
7 6
 
5.0%
9 5
 
4.2%
Space Separator
ValueCountFrequency (%)
147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
64.2%
Common 302
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 51
 
9.4%
남 37
 
6.8%
경 34
 
6.3%
상 34
 
6.3%
원 33
 
6.1%
도 32
 
5.9%
시 31
 
5.7%
구 31
 
5.7%
로 29
 
5.4%
의 20
 
3.7%
Other values (74) 210
38.7%
Common
ValueCountFrequency (%)
147
48.7%
1 25
 
8.3%
5 19
 
6.3%
2 18
 
6.0%
) 13
 
4.3%
( 13
 
4.3%
3 11
 
3.6%
6 11
 
3.6%
4 8
 
2.6%
0 8
 
2.6%
Other values (5) 29
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 542
64.2%
ASCII 302
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
48.7%
1 25
 
8.3%
5 19
 
6.3%
2 18
 
6.0%
) 13
 
4.3%
( 13
 
4.3%
3 11
 
3.6%
6 11
 
3.6%
4 8
 
2.6%
0 8
 
2.6%
Other values (5) 29
 
9.6%
Hangul
ValueCountFrequency (%)
창 51
 
9.4%
남 37
 
6.8%
경 34
 
6.3%
상 34
 
6.3%
원 33
 
6.1%
도 32
 
5.9%
시 31
 
5.7%
구 31
 
5.7%
로 29
 
5.4%
의 20
 
3.7%
Other values (74) 210
38.7%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing31
Missing (%)100.0%
Memory size411.0 B

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
2017-06-08
31 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-06-08
2nd row2017-06-08
3rd row2017-06-08
4th row2017-06-08
5th row2017-06-08

Common Values

ValueCountFrequency (%)
2017-06-08 31
100.0%

Length

2023-12-11T09:04:59.118487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:04:59.203139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-06-08 31
100.0%

Correlations

2023-12-11T09:04:59.274524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용인증일자인증번호대표자명전화번호소재지도로명주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.0000.9480.9431.0001.0001.0000.948
주된목적1.0000.0001.0001.0000.9761.0001.0001.0001.000
사업내용1.0000.9481.0001.0000.9691.0001.0001.0000.991
인증일자1.0000.9430.9760.9691.0001.0001.0001.0000.989
인증번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0000.9481.0000.9910.9891.0001.0001.0001.000
2023-12-11T09:04:59.400711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주된목적사회서비스분야
주된목적1.0000.000
사회서비스분야0.0001.000
2023-12-11T09:04:59.474420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적
사회서비스분야1.0000.000
주된목적0.0001.000

Missing values

2023-12-11T09:04:53.852234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:04:54.061740image/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

기관명사회서비스분야주된목적사업내용인증여부인증일자인증번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
0유한회사 함께걷는 발달연구소기타사회서비스제공형장애아동 평가 및 교육, 장애 체육프로그램 사업Y2016-06-29제2016-083호김소형055-289-6694경상남도 창원시 의창구 사림로 63<NA><NA>2017-06-08
1경남대학교 조이스쿨㈜기타기타형방과후 학교 운영Y2016-02-29제2016-011호김경희055-222-2314경상남도 창원시 마산합포구 경남대학로 7(경남대학교 한마관 5층)<NA><NA>2017-06-08
2(유)바람골그가게기타지역사회공헌형친환경제품 제작 판매Y2015-12-28제2015-264호이옥선055-263-4678경상남도 창원시 성산구 안민로 159번길 13<NA><NA>2017-06-08
3㈜해맑음기타혼합형창의적 체험 프로그램 활동 및 체험 카페 운영Y2015-11-20제2015-203호안명선055-264-9394경상남도 창원시 의창구 신월로 5번길 28<NA><NA>2017-06-08
4해피푸드 주식회사기타일자리제공형도시락 판매, 독거어르신 및 저소득청소년 급식 제공Y2010-10-20제2010-090호김옥희055-540-0232경상남도 창원시 진해구 진해대로 1101<NA><NA>2017-06-08
5한울타리사람들청소일자리제공형청소,용역사업, 조사통계업Y2011-09-30제2011-065호윤선순055-263-6543경상남도 창원시 의창구 남산로9번길 54-6<NA><NA>2017-06-08
6창원돌봄센터협동조합간병및가사지원일자리제공형보호자없는 병실 공동간병서비스 제공Y2015-09-22제2015-157호정영선055-264-2985경상남도 창원시 의창구 지귀로 116(봉곡동)<NA><NA>2017-06-08
7㈜한찬코리아기타일자리제공형인쇄출판 및 제조업Y2008-04-17제2008-018호박상구055-601-1000경상남도 창원시 의창구 천주로1번길 14<NA><NA>2017-06-08
8㈜파이디아예술·관광일자리제공형전통놀이 및 문화예술체험 교육Y2013-12-17제2013-213호김동해055-264-5487경상남도 창원시 의창구 신월로42(136호) 토월복합상가<NA><NA>2017-06-08
9㈜참다올푸드기타일자리제공형중소기업 식당 위탁급식Y2012-09-01제2013-84호정보현055-253-1147경상남도 창원시 의창구 죽전로 20(팔용동)<NA><NA>2017-06-08
기관명사회서비스분야주된목적사업내용인증여부인증일자인증번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
21반딧불이 주식회사청소일자리제공형방과후 학교체험프로그램,근로자파견, 경비, 청소용역, 폐식용유수거Y2013-12-17제2013-212호이해식055-261-1329경상남도 창원시 의창구 중앙대로 225번길 16<NA><NA>2017-06-08
22나눔터(사회복지법인 나눔복지재단)기타일자리제공형봉제사업, 인쇄사업Y2008-04-17제2008-016호김상규055-286-3233경상남도 창원시 성산구 월림로 39번길 8-10<NA><NA>2017-06-08
23(유)희망하우징기타일자리제공형지역 저소득 주거환경개선사업Y2014-12-16제2014-212호김정희055-601-2233경상남도 창원시 마산회원구 북성로 256(석전동)<NA><NA>2017-06-08
24(유)풀뿌리문화공동체예종예술·관광일자리제공형공연서비스업, 공연기획, 문화예술관련 교육, 기업연수 서비스업Y2015-03-31제2015-008호배민055-266-0387경상남도 창원시 성산구 창이대로663번길 5(사파동, 미남빌딩 지하)<NA><NA>2017-06-08
25(유)창원주거에너지복지센터기타일자리제공형저소득층 주거환경개선사업Y2014-12-16제2014-209호최영준055-273-2983경상남도 창원시 의창구 지귀로 116(봉곡동)<NA><NA>2017-06-08
26(유)창원늘푸른사람들청소일자리제공형학교·건물 등 청소 및 소독, 청소용품 판매Y2009-11-11제2009-041호전창현055-265-1945경상남도 창원시 의창구 용지로 161<NA><NA>2017-06-08
27(유)우렁각시간병및가사지원일자리제공형가사관리사 파견 및 식당 운영Y2012-09-03제2013-111호김정호055-266-8219경상남도 창원시 의창구 상남로 258(신월동)<NA><NA>2017-06-08
28(유)마루환경일자리제공형재활용품수집 및 운반, 환경정비, 조경Y2014-06-30제2014-087호김여용055-266-1945경상남도 창원시 의창구 북면 운문로 853<NA><NA>2017-06-08
29(사)희망이룸기타기타형지적장애아동 오케스트라 및 교구교재 개발사업Y2015-06-01제2015-077호정수철055-263-5647경상남도 창원시 의창구 사림로53 지하1층(한우프라자)<NA><NA>2017-06-08
30(사)경상남도장애청소년문화교육진흥센터기타일자리제공형발달장애인 직업교육 서비스Y2014-09-19제2014-133호손명숙055-287-2010경상남도 창원시 성산구 대암로 110, 302호(대방동, 성원남산3차아파트상가)<NA><NA>2017-06-08