Overview

Dataset statistics

Number of variables10
Number of observations52
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory82.5 B

Variable types

Text6
Categorical2
Boolean1
DateTime1

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
주된목적 is highly imbalanced (53.9%)Imbalance
전화번호 has 2 (3.8%) missing valuesMissing
기관명 has unique valuesUnique
인증번호 has unique valuesUnique
대표자명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:05:00.307734
Analysis finished2023-12-11 00:05:01.123262
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T09:05:01.295809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length9.8461538
Min length4

Characters and Unicode

Total characters512
Distinct characters146
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row㈜늘푸른자원
2nd row(주)한찬코리아
3rd row나눔터(나눔복지재단)
4th row창원늘푸른사람들 협동조합
5th row해피푸드 주식회사
ValueCountFrequency (%)
유한회사 4
 
6.0%
주식회사 4
 
6.0%
사단법인 2
 
3.0%
㈜늘푸른자원 1
 
1.5%
주)교육과비전 1
 
1.5%
사회적협동조합창원도우누리 1
 
1.5%
주식회사미래에스비 1
 
1.5%
에스빠스리좀협동조합 1
 
1.5%
꿈자람사회적협동조합 1
 
1.5%
창원손길협동조합 1
 
1.5%
Other values (50) 50
74.6%
2023-12-11T09:05:01.693508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
7.0%
29
 
5.7%
23
 
4.5%
18
 
3.5%
16
 
3.1%
15
 
2.9%
15
 
2.9%
15
 
2.9%
14
 
2.7%
12
 
2.3%
Other values (136) 319
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
91.4%
Space Separator 15
 
2.9%
Open Punctuation 11
 
2.1%
Close Punctuation 11
 
2.1%
Decimal Number 4
 
0.8%
Other Symbol 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
7.7%
29
 
6.2%
23
 
4.9%
18
 
3.8%
16
 
3.4%
15
 
3.2%
15
 
3.2%
14
 
3.0%
12
 
2.6%
9
 
1.9%
Other values (128) 281
60.0%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
0 1
25.0%
7 1
25.0%
6 1
25.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
92.0%
Common 41
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
7.6%
29
 
6.2%
23
 
4.9%
18
 
3.8%
16
 
3.4%
15
 
3.2%
15
 
3.2%
14
 
3.0%
12
 
2.5%
9
 
1.9%
Other values (129) 284
60.3%
Common
ValueCountFrequency (%)
15
36.6%
( 11
26.8%
) 11
26.8%
5 1
 
2.4%
0 1
 
2.4%
7 1
 
2.4%
6 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
91.4%
ASCII 41
 
8.0%
None 3
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
36
 
7.7%
29
 
6.2%
23
 
4.9%
18
 
3.8%
16
 
3.4%
15
 
3.2%
15
 
3.2%
14
 
3.0%
12
 
2.6%
9
 
1.9%
Other values (128) 281
60.0%
ASCII
ValueCountFrequency (%)
15
36.6%
( 11
26.8%
) 11
26.8%
5 1
 
2.4%
0 1
 
2.4%
7 1
 
2.4%
6 1
 
2.4%
None
ValueCountFrequency (%)
3
100.0%
Distinct11
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
기타
19 
교육
문화, 예술
환경
사회복지
Other values (6)
11 

Length

Max length8
Median length2
Mean length3.2115385
Min length2

Unique

Unique3 ?
Unique (%)5.8%

Sample

1st row환경
2nd row기타
3rd row사회복지
4th row보건
5th row기타

Common Values

ValueCountFrequency (%)
기타 19
36.5%
교육 7
 
13.5%
문화, 예술 6
 
11.5%
환경 5
 
9.6%
사회복지 4
 
7.7%
간병, 가사지원 4
 
7.7%
보건 2
 
3.8%
고용 2
 
3.8%
청소 1
 
1.9%
문화재 1
 
1.9%

Length

2023-12-11T09:05:01.827968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 19
30.6%
교육 7
 
11.3%
문화 6
 
9.7%
예술 6
 
9.7%
환경 5
 
8.1%
사회복지 4
 
6.5%
간병 4
 
6.5%
가사지원 4
 
6.5%
보건 2
 
3.2%
고용 2
 
3.2%
Other values (3) 3
 
4.8%

주된목적
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
일자리제공형
42 
기타(창의ㆍ혁신)형
 
3
혼합형
 
3
사회서비스제공형
 
3
지역사회공헌형
 
1

Length

Max length10
Median length6
Mean length6.1923077
Min length3

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row기타(창의ㆍ혁신)형
2nd row일자리제공형
3rd row일자리제공형
4th row일자리제공형
5th row일자리제공형

Common Values

ValueCountFrequency (%)
일자리제공형 42
80.8%
기타(창의ㆍ혁신)형 3
 
5.8%
혼합형 3
 
5.8%
사회서비스제공형 3
 
5.8%
지역사회공헌형 1
 
1.9%

Length

2023-12-11T09:05:01.963715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:05:02.068495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 42
80.8%
기타(창의ㆍ혁신)형 3
 
5.8%
혼합형 3
 
5.8%
사회서비스제공형 3
 
5.8%
지역사회공헌형 1
 
1.9%
Distinct27
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T09:05:02.272841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length5.2884615
Min length2

Characters and Unicode

Total characters275
Distinct characters69
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

Unique22 ?
Unique (%)42.3%

Sample

1st row도소매
2nd row인쇄, 현수막 출력, 사무용품, 자판기 임대
3rd row비영리, 제조업, 서비스
4th row서비스
5th row제조업,도매및소매업,음식
ValueCountFrequency (%)
서비스 16
22.9%
서비스업 7
 
10.0%
제조업 6
 
8.6%
교육서비스 3
 
4.3%
교육 2
 
2.9%
건설업 2
 
2.9%
도소매 1
 
1.4%
서비스,제조,도소매 1
 
1.4%
캠프 1
 
1.4%
소매업 1
 
1.4%
Other values (30) 30
42.9%
2023-12-11T09:05:02.578111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
10.9%
30
 
10.9%
29
 
10.5%
26
 
9.5%
18
 
6.5%
, 14
 
5.1%
12
 
4.4%
12
 
4.4%
6
 
2.2%
6
 
2.2%
Other values (59) 92
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
88.4%
Space Separator 18
 
6.5%
Other Punctuation 14
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
12.3%
30
 
12.3%
29
 
11.9%
26
 
10.7%
12
 
4.9%
12
 
4.9%
6
 
2.5%
6
 
2.5%
6
 
2.5%
5
 
2.1%
Other values (57) 81
33.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
88.4%
Common 32
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
12.3%
30
 
12.3%
29
 
11.9%
26
 
10.7%
12
 
4.9%
12
 
4.9%
6
 
2.5%
6
 
2.5%
6
 
2.5%
5
 
2.1%
Other values (57) 81
33.3%
Common
ValueCountFrequency (%)
18
56.2%
, 14
43.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
88.4%
ASCII 32
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
30
 
12.3%
30
 
12.3%
29
 
11.9%
26
 
10.7%
12
 
4.9%
12
 
4.9%
6
 
2.5%
6
 
2.5%
6
 
2.5%
5
 
2.1%
Other values (57) 81
33.3%
ASCII
ValueCountFrequency (%)
18
56.2%
, 14
43.8%

인증여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size184.0 B
True
52 
ValueCountFrequency (%)
True 52
100.0%
2023-12-11T09:05:02.692187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct34
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2007-10-29 00:00:00
Maximum2021-09-08 00:00:00
2023-12-11T09:05:02.778333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:05:02.905536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

인증번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T09:05:03.156373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters520
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

Unique52 ?
Unique (%)100.0%

Sample

1st row제2007-035호
2nd row제2008-018호
3rd row제2008-016호
4th row제2009-041호
5th row제2010-090호
ValueCountFrequency (%)
제2007-035호 1
 
1.9%
제2008-018호 1
 
1.9%
제2020-012호 1
 
1.9%
제2018-140호 1
 
1.9%
제2018-138호 1
 
1.9%
제2019-131호 1
 
1.9%
제2019-128호 1
 
1.9%
제2019-179호 1
 
1.9%
제2019-261호 1
 
1.9%
제2019-260호 1
 
1.9%
Other values (42) 42
80.8%
2023-12-11T09:05:03.522124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92
17.7%
2 86
16.5%
1 76
14.6%
52
10.0%
- 52
10.0%
52
10.0%
8 19
 
3.7%
9 19
 
3.7%
3 18
 
3.5%
5 17
 
3.3%
Other values (3) 37
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 364
70.0%
Other Letter 104
 
20.0%
Dash Punctuation 52
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
25.3%
2 86
23.6%
1 76
20.9%
8 19
 
5.2%
9 19
 
5.2%
3 18
 
4.9%
5 17
 
4.7%
6 15
 
4.1%
4 12
 
3.3%
7 10
 
2.7%
Other Letter
ValueCountFrequency (%)
52
50.0%
52
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
80.0%
Hangul 104
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92
22.1%
2 86
20.7%
1 76
18.3%
- 52
12.5%
8 19
 
4.6%
9 19
 
4.6%
3 18
 
4.3%
5 17
 
4.1%
6 15
 
3.6%
4 12
 
2.9%
Hangul
ValueCountFrequency (%)
52
50.0%
52
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 416
80.0%
Hangul 104
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92
22.1%
2 86
20.7%
1 76
18.3%
- 52
12.5%
8 19
 
4.6%
9 19
 
4.6%
3 18
 
4.3%
5 17
 
4.1%
6 15
 
3.6%
4 12
 
2.9%
Hangul
ValueCountFrequency (%)
52
50.0%
52
50.0%

대표자명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T09:05:03.788929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1730769
Min length3

Characters and Unicode

Total characters165
Distinct characters77
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

Unique52 ?
Unique (%)100.0%

Sample

1st row김진수
2nd row박상구
3rd row이영동
4th row장찬규
5th row김옥희
ValueCountFrequency (%)
김진수 1
 
1.9%
황일호 1
 
1.9%
최웅기 1
 
1.9%
김미득 1
 
1.9%
장의경 1
 
1.9%
하효선 1
 
1.9%
이안희 1
 
1.9%
김은정 1
 
1.9%
이산옥 1
 
1.9%
강경애 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T09:05:04.223881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
7.3%
11
 
6.7%
7
 
4.2%
6
 
3.6%
4
 
2.4%
4
 
2.4%
4
 
2.4%
4
 
2.4%
4
 
2.4%
4
 
2.4%
Other values (67) 105
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
98.2%
Other Punctuation 2
 
1.2%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
7.4%
11
 
6.8%
7
 
4.3%
6
 
3.7%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (65) 102
63.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
98.2%
Common 3
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
7.4%
11
 
6.8%
7
 
4.3%
6
 
3.7%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (65) 102
63.0%
Common
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
98.2%
ASCII 3
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
7.4%
11
 
6.8%
7
 
4.3%
6
 
3.7%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (65) 102
63.0%
ASCII
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

전화번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing2
Missing (%)3.8%
Memory size548.0 B
2023-12-11T09:05:04.467327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.14
Min length12

Characters and Unicode

Total characters607
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

Unique50 ?
Unique (%)100.0%

Sample

1st row055-298-1428
2nd row055-601-1000
3rd row055-286-3233
4th row055-265-1945
5th row055-540-0232
ValueCountFrequency (%)
055-601-2233 1
 
2.0%
055-286-1477 1
 
2.0%
055-714-7667 1
 
2.0%
055-264-0082 1
 
2.0%
055-262-2773 1
 
2.0%
070-7514-7772 1
 
2.0%
070-8802-6438 1
 
2.0%
055-551-1470 1
 
2.0%
055-267-3102 1
 
2.0%
055-251-8533 1
 
2.0%
Other values (40) 40
80.0%
2023-12-11T09:05:04.904681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 113
18.6%
- 100
16.5%
0 89
14.7%
2 68
11.2%
8 40
 
6.6%
7 39
 
6.4%
3 37
 
6.1%
4 37
 
6.1%
6 34
 
5.6%
1 26
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 507
83.5%
Dash Punctuation 100
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 113
22.3%
0 89
17.6%
2 68
13.4%
8 40
 
7.9%
7 39
 
7.7%
3 37
 
7.3%
4 37
 
7.3%
6 34
 
6.7%
1 26
 
5.1%
9 24
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 607
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 113
18.6%
- 100
16.5%
0 89
14.7%
2 68
11.2%
8 40
 
6.6%
7 39
 
6.4%
3 37
 
6.1%
4 37
 
6.1%
6 34
 
5.6%
1 26
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 607
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 113
18.6%
- 100
16.5%
0 89
14.7%
2 68
11.2%
8 40
 
6.6%
7 39
 
6.4%
3 37
 
6.1%
4 37
 
6.1%
6 34
 
5.6%
1 26
 
4.3%
Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-11T09:05:05.222695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length24.057692
Min length19

Characters and Unicode

Total characters1251
Distinct characters93
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row경상남도 창원시 의창구 북면 백월로74번길 9
2nd row경상남도 창원시 의창구 천주로1번길 14
3rd row경상남도 창원시 성산구 월림로39번길 8-10
4th row경상남도 창원시 의창구 용지로 161
5th row경상남도 창원시 진해구 진해대로 1101
ValueCountFrequency (%)
창원시 52
18.9%
경상남도 51
18.5%
의창구 23
 
8.4%
성산구 12
 
4.4%
마산회원구 8
 
2.9%
마산합포구 5
 
1.8%
진해구 4
 
1.5%
내서읍 3
 
1.1%
3·15대로 2
 
0.7%
대산면 2
 
0.7%
Other values (102) 113
41.1%
2023-12-11T09:05:05.629699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
225
18.0%
77
 
6.2%
63
 
5.0%
58
 
4.6%
54
 
4.3%
53
 
4.2%
53
 
4.2%
53
 
4.2%
52
 
4.2%
44
 
3.5%
Other values (83) 519
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 813
65.0%
Space Separator 225
 
18.0%
Decimal Number 187
 
14.9%
Dash Punctuation 10
 
0.8%
Other Punctuation 6
 
0.5%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
77
 
9.5%
63
 
7.7%
58
 
7.1%
54
 
6.6%
53
 
6.5%
53
 
6.5%
53
 
6.5%
52
 
6.4%
44
 
5.4%
32
 
3.9%
Other values (67) 274
33.7%
Decimal Number
ValueCountFrequency (%)
1 40
21.4%
2 28
15.0%
4 25
13.4%
5 21
11.2%
3 18
9.6%
6 15
 
8.0%
0 15
 
8.0%
7 13
 
7.0%
8 6
 
3.2%
9 6
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
· 2
33.3%
Space Separator
ValueCountFrequency (%)
225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 813
65.0%
Common 438
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
77
 
9.5%
63
 
7.7%
58
 
7.1%
54
 
6.6%
53
 
6.5%
53
 
6.5%
53
 
6.5%
52
 
6.4%
44
 
5.4%
32
 
3.9%
Other values (67) 274
33.7%
Common
ValueCountFrequency (%)
225
51.4%
1 40
 
9.1%
2 28
 
6.4%
4 25
 
5.7%
5 21
 
4.8%
3 18
 
4.1%
6 15
 
3.4%
0 15
 
3.4%
7 13
 
3.0%
- 10
 
2.3%
Other values (6) 28
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 813
65.0%
ASCII 436
34.9%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
225
51.6%
1 40
 
9.2%
2 28
 
6.4%
4 25
 
5.7%
5 21
 
4.8%
3 18
 
4.1%
6 15
 
3.4%
0 15
 
3.4%
7 13
 
3.0%
- 10
 
2.3%
Other values (5) 26
 
6.0%
Hangul
ValueCountFrequency (%)
77
 
9.5%
63
 
7.7%
58
 
7.1%
54
 
6.6%
53
 
6.5%
53
 
6.5%
53
 
6.5%
52
 
6.4%
44
 
5.4%
32
 
3.9%
Other values (67) 274
33.7%
None
ValueCountFrequency (%)
· 2
100.0%

Correlations

2023-12-11T09:05:05.719364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명사회서비스분야주된목적사업내용인증일자인증번호대표자명전화번호소재지도로명주소
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야1.0001.0000.5700.0000.9351.0001.0001.0001.000
주된목적1.0000.5701.0000.8140.6211.0001.0001.0001.000
사업내용1.0000.0000.8141.0000.0001.0001.0001.0001.000
인증일자1.0000.9350.6210.0001.0001.0001.0001.0001.000
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
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T09:05:05.821826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주된목적사회서비스분야
주된목적1.0000.329
사회서비스분야0.3291.000
2023-12-11T09:05:05.904806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적
사회서비스분야1.0000.329
주된목적0.3291.000

Missing values

2023-12-11T09:05:00.884356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:05:01.040370image/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

기관명사회서비스분야주된목적사업내용인증여부인증일자인증번호대표자명전화번호소재지도로명주소
0㈜늘푸른자원환경기타(창의ㆍ혁신)형도소매Y2007-10-29제2007-035호김진수055-298-1428경상남도 창원시 의창구 북면 백월로74번길 9
1(주)한찬코리아기타일자리제공형인쇄, 현수막 출력, 사무용품, 자판기 임대Y2008-04-18제2008-018호박상구055-601-1000경상남도 창원시 의창구 천주로1번길 14
2나눔터(나눔복지재단)사회복지일자리제공형비영리, 제조업, 서비스Y2008-04-18제2008-016호이영동055-286-3233경상남도 창원시 성산구 월림로39번길 8-10
3창원늘푸른사람들 협동조합보건일자리제공형서비스Y2009-11-11제2009-041호장찬규055-265-1945경상남도 창원시 의창구 용지로 161
4해피푸드 주식회사기타일자리제공형제조업,도매및소매업,음식Y2010-10-20제2010-090호김옥희055-540-0232경상남도 창원시 진해구 진해대로 1101
5사단법인 함께하는 여성간병, 가사지원일자리제공형서비스Y2010-12-22제2010-176호이애라055-231-5432경상남도 창원시 마산합포구 중앙북5길 20
6한울타리사람들주식회사환경일자리제공형서비스Y2011-09-30제2011-065호윤선순055-262-6543경상남도 창원시 의창구 하남천동길 46-1
7유한회사다일환경일자리제공형서비스Y2012-12-14제2012-116호강윤정055-283-3330경상남도 창원시 성산구 정동로162번길 32
8(주)참다올푸드기타일자리제공형음식업Y2013-07-11제2013-084호정보현070-4363-2698경상남도 창원시 성산구 공단로 116
9사회복지법인아그네스복지재단행복주식회사기타일자리제공형제조업,서비스Y2013-07-11제2013-083호임민숙055-271-1871경상남도 창원시 마산합포구 진북면 의림로 312
기관명사회서비스분야주된목적사업내용인증여부인증일자인증번호대표자명전화번호소재지도로명주소
42유한회사에코힐링교육기타(창의ㆍ혁신)형농업Y2020-11-10제2020-284호이상숙055-547-9909경상남도 창원시 진해구 자은로64번길 3
435670강터협동조합기타일자리제공형조경Y2020-11-10제2020-282호홍순돈055-277-2945경상남도 창원시 의창구 동정길 57-17
44하얀나래 사회봉사자사회적협동조합사회서비스제공형혼합형서비스,제조,도소매Y2021-03-10제2021-015호박중식055-232-5307경상남도 창원시 마산회원구 내서읍 죽암로 43-1
45주식회사다함기타일자리제공형인쇄업Y2021-03-10제2021-013호이해주070-4607-3480경상남도 창원시 성산구 연덕로9번길 9 웅남동
46행복다문화협동조합사회복지일자리제공형서비스Y2021-05-11제2021-098호이경연055-274-4523경상남도 창원시 의창구 상남로 224
47이앤피협동조합사회복지일자리제공형서비스Y2021-05-11제2021-096호김송현<NA>경상남도 창원시 마산회원구 내서읍 송평로 424
48노란여우식빵 주식회사기타일자리제공형제과점업Y2021-05-11제2021-094호조용훈055-252-8804경상남도 창원시 의창구 사화로 44
49주식회사 에스엠에코푸드기타일자리제공형위탁급식, 휴게음식Y2021-07-15제2021-169호조경래055-298-5613경상남도 창원시 의창구 반계로 33
50꿈숲 사회적협동조합교육일자리제공형교육서비스Y2021-07-15제2021-161호이종근<NA>경상남도 창원시 마산회원구 내서읍 송평로 365-334
51(주)파티윤기타일자리제공형출장음식Y2021-09-08제2021-245호윤명진055-287-5950경상남도 창원시 의창구 창이대로478번길 16-22