Overview

Dataset statistics

Number of variables13
Number of observations129
Missing cells140
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory107.0 B

Variable types

Text8
Categorical3
Numeric2

Dataset

Description전북특별자치도 전주시 내 사회적기업을 제공하며 기관명, 인증번호, 사회적목적, 사회서비스명, 사업내용 등을 제공합니다.항목 : 기관명, 인증번호, 사회적목적실현유형, 사회서비스분야, 사업내용, 대표전화번호, 팩스, 도로명주소 등제공부서 : 사회적경제과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15010318/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
대표전화번호 has 16 (12.4%) missing valuesMissing
팩스 has 124 (96.1%) missing valuesMissing
기관명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:53:46.045673
Analysis finished2024-03-14 18:53:48.866138
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T03:53:49.504936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length19
Mean length10.03876
Min length4

Characters and Unicode

Total characters1295
Distinct characters271
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)100.0%

Sample

1st row㈜사람과환경
2nd row우리노인복지센터 행복나눔
3rd row전주사회서비스센터
4th row(유)맛디자인
5th row(유)맑은누리
ValueCountFrequency (%)
주식회사 14
 
7.7%
유한회사 11
 
6.0%
협동조합 4
 
2.2%
사단법인 4
 
2.2%
사회적협동조합 3
 
1.6%
농업회사법인 2
 
1.1%
한국시니어문화여가지원센터 1
 
0.5%
유한회사송송공작소 1
 
0.5%
유)수화담 1
 
0.5%
팀에프엠 1
 
0.5%
Other values (141) 141
77.0%
2024-03-15T03:53:50.641130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 74
 
5.7%
60
 
4.6%
회 50
 
3.9%
) 47
 
3.6%
( 46
 
3.6%
유 39
 
3.0%
주 38
 
2.9%
한 27
 
2.1%
인 26
 
2.0%
합 25
 
1.9%
Other values (261) 863
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1114
86.0%
Space Separator 60
 
4.6%
Close Punctuation 47
 
3.6%
Open Punctuation 46
 
3.6%
Other Symbol 16
 
1.2%
Lowercase Letter 5
 
0.4%
Uppercase Letter 4
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 74
 
6.6%
회 50
 
4.5%
유 39
 
3.5%
주 38
 
3.4%
한 27
 
2.4%
인 26
 
2.3%
합 25
 
2.2%
협 24
 
2.2%
동 23
 
2.1%
식 22
 
2.0%
Other values (246) 766
68.8%
Lowercase Letter
ValueCountFrequency (%)
y 1
20.0%
t 1
20.0%
a 1
20.0%
g 1
20.0%
e 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
25.0%
S 1
25.0%
P 1
25.0%
G 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1130
87.3%
Common 156
 
12.0%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 74
 
6.5%
회 50
 
4.4%
유 39
 
3.5%
주 38
 
3.4%
한 27
 
2.4%
인 26
 
2.3%
합 25
 
2.2%
협 24
 
2.1%
동 23
 
2.0%
식 22
 
1.9%
Other values (247) 782
69.2%
Latin
ValueCountFrequency (%)
M 1
11.1%
y 1
11.1%
S 1
11.1%
t 1
11.1%
a 1
11.1%
P 1
11.1%
G 1
11.1%
g 1
11.1%
e 1
11.1%
Common
ValueCountFrequency (%)
60
38.5%
) 47
30.1%
( 46
29.5%
. 2
 
1.3%
& 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1114
86.0%
ASCII 165
 
12.7%
None 16
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 74
 
6.6%
회 50
 
4.5%
유 39
 
3.5%
주 38
 
3.4%
한 27
 
2.4%
인 26
 
2.3%
합 25
 
2.2%
협 24
 
2.2%
동 23
 
2.1%
식 22
 
2.0%
Other values (246) 766
68.8%
ASCII
ValueCountFrequency (%)
60
36.4%
) 47
28.5%
( 46
27.9%
. 2
 
1.2%
M 1
 
0.6%
y 1
 
0.6%
S 1
 
0.6%
t 1
 
0.6%
a 1
 
0.6%
P 1
 
0.6%
Other values (4) 4
 
2.4%
None
ValueCountFrequency (%)
㈜ 16
100.0%

인증번호
Text

Distinct128
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T03:53:51.501729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length36
Mean length24.96124
Min length10

Characters and Unicode

Total characters3220
Distinct characters45
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)98.4%

Sample

1st row2008-01-07(2007-53)
2nd row2008-10-23(2008-85)
3rd row2008-10-23(2008-86)
4th row2010-01-21(2009-77)
5th row2010-06-01(2010-26)
ValueCountFrequency (%)
2024-08-31전북 10
 
5.0%
2021-09-01 10
 
5.0%
10
 
5.0%
2020-09-02~2023-09-01전북 9
 
4.5%
2021.07.15고용노동부 5
 
2.5%
2021-03-29~2024-03-28전북 4
 
2.0%
2022.09.06~2025.09.05전북 4
 
2.0%
제2021-03호 3
 
1.5%
2021.12.13~2024.12.12문화체육관광형 3
 
1.5%
2021.09.08고용노동부 3
 
1.5%
Other values (135) 139
69.5%
2024-03-15T03:53:52.873937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 643
20.0%
0 597
18.5%
1 418
13.0%
- 354
11.0%
. 126
 
3.9%
9 114
 
3.5%
3 105
 
3.3%
71
 
2.2%
4 68
 
2.1%
5 64
 
2.0%
Other values (35) 660
20.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2179
67.7%
Dash Punctuation 354
 
11.0%
Other Letter 324
 
10.1%
Other Punctuation 126
 
3.9%
Space Separator 71
 
2.2%
Open Punctuation 60
 
1.9%
Close Punctuation 59
 
1.8%
Math Symbol 47
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 64
19.8%
호 61
18.8%
북 34
10.5%
전 34
10.5%
부 20
 
6.2%
고 17
 
5.2%
용 16
 
4.9%
동 14
 
4.3%
노 14
 
4.3%
화 5
 
1.5%
Other values (19) 45
13.9%
Decimal Number
ValueCountFrequency (%)
2 643
29.5%
0 597
27.4%
1 418
19.2%
9 114
 
5.2%
3 105
 
4.8%
4 68
 
3.1%
5 64
 
2.9%
8 64
 
2.9%
7 54
 
2.5%
6 52
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 354
100.0%
Other Punctuation
ValueCountFrequency (%)
. 126
100.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Math Symbol
ValueCountFrequency (%)
~ 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2896
89.9%
Hangul 324
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 64
19.8%
호 61
18.8%
북 34
10.5%
전 34
10.5%
부 20
 
6.2%
고 17
 
5.2%
용 16
 
4.9%
동 14
 
4.3%
노 14
 
4.3%
화 5
 
1.5%
Other values (19) 45
13.9%
Common
ValueCountFrequency (%)
2 643
22.2%
0 597
20.6%
1 418
14.4%
- 354
12.2%
. 126
 
4.4%
9 114
 
3.9%
3 105
 
3.6%
71
 
2.5%
4 68
 
2.3%
5 64
 
2.2%
Other values (6) 336
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2896
89.9%
Hangul 324
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 643
22.2%
0 597
20.6%
1 418
14.4%
- 354
12.2%
. 126
 
4.4%
9 114
 
3.9%
3 105
 
3.6%
71
 
2.5%
4 68
 
2.3%
5 64
 
2.2%
Other values (6) 336
11.6%
Hangul
ValueCountFrequency (%)
제 64
19.8%
호 61
18.8%
북 34
10.5%
전 34
10.5%
부 20
 
6.2%
고 17
 
5.2%
용 16
 
4.9%
동 14
 
4.3%
노 14
 
4.3%
화 5
 
1.5%
Other values (19) 45
13.9%

사회적목적실현유형
Categorical

Distinct12
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
일자리제공형
56 
사회서비스제공형
24 
기타(창의혁신형)
11 
기타형
9 
혼합형
8 
Other values (7)
21 

Length

Max length10
Median length8
Mean length6.6976744
Min length3

Unique

Unique3 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
일자리제공형 56
43.4%
사회서비스제공형 24
18.6%
기타(창의혁신형) 11
 
8.5%
기타형 9
 
7.0%
혼합형 8
 
6.2%
일자리제공형 7
 
5.4%
기타(창의ㆍ혁신)형 6
 
4.7%
지역사회공헌형 3
 
2.3%
기타(창의·혁신)형 2
 
1.6%
지역사회공헌형 1
 
0.8%
Other values (2) 2
 
1.6%

Length

2024-03-15T03:53:53.123201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일자리제공형 63
48.8%
사회서비스제공형 24
 
18.6%
기타(창의혁신형 11
 
8.5%
기타형 9
 
7.0%
혼합형 8
 
6.2%
기타(창의ㆍ혁신)형 6
 
4.7%
지역사회공헌형 4
 
3.1%
기타(창의·혁신)형 2
 
1.6%
지역사회봉헌형 1
 
0.8%
지역사회공헌형(다 1
 
0.8%

사회서비스분야
Categorical

Distinct29
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기타
22 
문화예술
21 
교육
16 
환경
13 
제조
13 
Other values (24)
44 

Length

Max length17
Median length2
Mean length3.3488372
Min length2

Unique

Unique18 ?
Unique (%)14.0%

Sample

1st row환경
2nd row간병
3rd row간병
4th row식품(음식)
5th row환경

Common Values

ValueCountFrequency (%)
기타 22
17.1%
문화예술 21
16.3%
교육 16
12.4%
환경 13
10.1%
제조 13
10.1%
식품(음식) 10
7.8%
유통 4
 
3.1%
문화ㆍ예술 4
 
3.1%
간병 3
 
2.3%
문화 3
 
2.3%
Other values (19) 20
15.5%

Length

2024-03-15T03:53:53.451964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 22
16.5%
문화예술 22
16.5%
교육 18
13.5%
제조 15
11.3%
환경 13
9.8%
식품(음식 10
7.5%
유통 5
 
3.8%
문화ㆍ예술 4
 
3.0%
문화 3
 
2.3%
간병 3
 
2.3%
Other values (17) 18
13.5%

사업내용
Text

Distinct128
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T03:53:54.549988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length40
Mean length22.302326
Min length3

Characters and Unicode

Total characters2877
Distinct characters323
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)98.4%

Sample

1st row전주시 재활용품 재활용 선별센터 운영
2nd row간병돌보미·홈헬퍼 파견+ 전문돌봄 서비스제공
3rd row재가간병+ 방문요양서비스 제공
4th row각종 김치 제조 및 판매
5th row학교+ 건물+ 다중이용시설 관리 및 청소·소독사업
ValueCountFrequency (%)
및 51
 
8.0%
등 21
 
3.3%
판매 20
 
3.2%
교육 13
 
2.1%
기획 9
 
1.4%
제작 9
 
1.4%
운영 8
 
1.3%
제조 7
 
1.1%
디자인 7
 
1.1%
유통 7
 
1.1%
Other values (413) 482
76.0%
2024-03-15T03:53:55.824393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
512
 
17.8%
+ 146
 
5.1%
제 56
 
1.9%
및 51
 
1.8%
공 44
 
1.5%
문 42
 
1.5%
교 42
 
1.5%
사 42
 
1.5%
화 40
 
1.4%
업 38
 
1.3%
Other values (313) 1864
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2137
74.3%
Space Separator 512
 
17.8%
Math Symbol 146
 
5.1%
Close Punctuation 26
 
0.9%
Open Punctuation 25
 
0.9%
Uppercase Letter 20
 
0.7%
Other Punctuation 9
 
0.3%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 56
 
2.6%
및 51
 
2.4%
공 44
 
2.1%
문 42
 
2.0%
교 42
 
2.0%
사 42
 
2.0%
화 40
 
1.9%
업 38
 
1.8%
기 36
 
1.7%
육 34
 
1.6%
Other values (292) 1712
80.1%
Uppercase Letter
ValueCountFrequency (%)
D 5
25.0%
E 3
15.0%
C 2
 
10.0%
L 2
 
10.0%
H 1
 
5.0%
R 1
 
5.0%
V 1
 
5.0%
T 1
 
5.0%
A 1
 
5.0%
P 1
 
5.0%
Other values (2) 2
 
10.0%
Other Punctuation
ValueCountFrequency (%)
· 6
66.7%
. 2
 
22.2%
/ 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
512
100.0%
Math Symbol
ValueCountFrequency (%)
+ 146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2135
74.2%
Common 720
 
25.0%
Latin 20
 
0.7%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 56
 
2.6%
및 51
 
2.4%
공 44
 
2.1%
문 42
 
2.0%
교 42
 
2.0%
사 42
 
2.0%
화 40
 
1.9%
업 38
 
1.8%
기 36
 
1.7%
육 34
 
1.6%
Other values (290) 1710
80.1%
Latin
ValueCountFrequency (%)
D 5
25.0%
E 3
15.0%
C 2
 
10.0%
L 2
 
10.0%
H 1
 
5.0%
R 1
 
5.0%
V 1
 
5.0%
T 1
 
5.0%
A 1
 
5.0%
P 1
 
5.0%
Other values (2) 2
 
10.0%
Common
ValueCountFrequency (%)
512
71.1%
+ 146
 
20.3%
) 26
 
3.6%
( 25
 
3.5%
· 6
 
0.8%
. 2
 
0.3%
4 1
 
0.1%
/ 1
 
0.1%
3 1
 
0.1%
Han
ValueCountFrequency (%)
同 1
50.0%
行 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2135
74.2%
ASCII 734
 
25.5%
None 6
 
0.2%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
512
69.8%
+ 146
 
19.9%
) 26
 
3.5%
( 25
 
3.4%
D 5
 
0.7%
E 3
 
0.4%
. 2
 
0.3%
C 2
 
0.3%
L 2
 
0.3%
4 1
 
0.1%
Other values (10) 10
 
1.4%
Hangul
ValueCountFrequency (%)
제 56
 
2.6%
및 51
 
2.4%
공 44
 
2.1%
문 42
 
2.0%
교 42
 
2.0%
사 42
 
2.0%
화 40
 
1.9%
업 38
 
1.8%
기 36
 
1.7%
육 34
 
1.6%
Other values (290) 1710
80.1%
None
ValueCountFrequency (%)
· 6
100.0%
CJK
ValueCountFrequency (%)
同 1
50.0%
行 1
50.0%

대표전화번호
Text

MISSING 

Distinct113
Distinct (%)100.0%
Missing16
Missing (%)12.4%
Memory size1.1 KiB
2024-03-15T03:53:57.175509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length12
Mean length12.663717
Min length9

Characters and Unicode

Total characters1431
Distinct characters17
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

Unique113 ?
Unique (%)100.0%

Sample

1st row063-229-5212+1661-6425
2nd row063-255-7179
3rd row063-287-9770
4th row063-231-7017
5th row063-242-6013
ValueCountFrequency (%)
063-255-3085 1
 
0.9%
063-274-0010 1
 
0.9%
063-213-1150 1
 
0.9%
063-214-0789 1
 
0.9%
063-232-9522 1
 
0.9%
063-225-1471 1
 
0.9%
063-904-6085 1
 
0.9%
0502-832-8252+063-213-8250 1
 
0.9%
063-223-0987 1
 
0.9%
063-282-8882 1
 
0.9%
Other values (103) 103
91.2%
2024-03-15T03:53:58.615800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 234
16.4%
2 209
14.6%
0 198
13.8%
3 169
11.8%
6 160
11.2%
7 104
7.3%
1 82
 
5.7%
8 75
 
5.2%
5 73
 
5.1%
4 64
 
4.5%
Other values (7) 63
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1187
82.9%
Dash Punctuation 234
 
16.4%
Math Symbol 5
 
0.3%
Other Letter 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 209
17.6%
0 198
16.7%
3 169
14.2%
6 160
13.5%
7 104
8.8%
1 82
 
6.9%
8 75
 
6.3%
5 73
 
6.1%
4 64
 
5.4%
9 53
 
4.5%
Other Letter
ValueCountFrequency (%)
중 1
33.3%
앙 1
33.3%
회 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1428
99.8%
Hangul 3
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 234
16.4%
2 209
14.6%
0 198
13.9%
3 169
11.8%
6 160
11.2%
7 104
7.3%
1 82
 
5.7%
8 75
 
5.3%
5 73
 
5.1%
4 64
 
4.5%
Other values (4) 60
 
4.2%
Hangul
ValueCountFrequency (%)
중 1
33.3%
앙 1
33.3%
회 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1428
99.8%
Hangul 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 234
16.4%
2 209
14.6%
0 198
13.9%
3 169
11.8%
6 160
11.2%
7 104
7.3%
1 82
 
5.7%
8 75
 
5.3%
5 73
 
5.1%
4 64
 
4.5%
Other values (4) 60
 
4.2%
Hangul
ValueCountFrequency (%)
중 1
33.3%
앙 1
33.3%
회 1
33.3%

팩스
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing124
Missing (%)96.1%
Memory size1.1 KiB
2024-03-15T03:53:59.544426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters60
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

Unique5 ?
Unique (%)100.0%

Sample

1st row063-905-8236
2nd row063-244-2529
3rd row063-283-9703
4th row063-277-7406
5th row063-252-1005
ValueCountFrequency (%)
063-905-8236 1
20.0%
063-244-2529 1
20.0%
063-283-9703 1
20.0%
063-277-7406 1
20.0%
063-252-1005 1
20.0%
2024-03-15T03:54:01.018162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
16.7%
- 10
16.7%
3 8
13.3%
2 8
13.3%
6 7
11.7%
5 4
 
6.7%
7 4
 
6.7%
9 3
 
5.0%
4 3
 
5.0%
8 2
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50
83.3%
Dash Punctuation 10
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
20.0%
3 8
16.0%
2 8
16.0%
6 7
14.0%
5 4
 
8.0%
7 4
 
8.0%
9 3
 
6.0%
4 3
 
6.0%
8 2
 
4.0%
1 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
16.7%
- 10
16.7%
3 8
13.3%
2 8
13.3%
6 7
11.7%
5 4
 
6.7%
7 4
 
6.7%
9 3
 
5.0%
4 3
 
5.0%
8 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
16.7%
- 10
16.7%
3 8
13.3%
2 8
13.3%
6 7
11.7%
5 4
 
6.7%
7 4
 
6.7%
9 3
 
5.0%
4 3
 
5.0%
8 2
 
3.3%

도로명주소
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T03:54:02.271516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length50
Mean length35.589147
Min length22

Characters and Unicode

Total characters4591
Distinct characters215
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 전주시 완산구 안심새길 55(상림동)
2nd row전북특별자치도 전주시 덕진구 전주천서로 321 (진북동, 우리노인복지센터)
3rd row전북특별자치도 전주시 완산구 덕산길 29-1(색장동)
4th row전북특별자치도 전주시 완산구 춘향로 5237 (대성동)
5th row전북특별자치도 전주시 덕진구 서당길 39 (용정동)
ValueCountFrequency (%)
전주시 131
 
15.7%
전북특별자치도 130
 
15.6%
완산구 88
 
10.6%
덕진구 45
 
5.4%
2층 8
 
1.0%
4층 8
 
1.0%
기린대로 8
 
1.0%
천잠로 7
 
0.8%
1층 6
 
0.7%
303 6
 
0.7%
Other values (329) 396
47.5%
2024-03-15T03:54:03.714242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
709
 
15.4%
전 293
 
6.4%
자 149
 
3.2%
1 148
 
3.2%
주 148
 
3.2%
북 139
 
3.0%
구 137
 
3.0%
시 133
 
2.9%
별 132
 
2.9%
도 131
 
2.9%
Other values (205) 2472
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2890
62.9%
Space Separator 709
 
15.4%
Decimal Number 647
 
14.1%
Close Punctuation 105
 
2.3%
Open Punctuation 105
 
2.3%
Other Punctuation 92
 
2.0%
Dash Punctuation 39
 
0.8%
Uppercase Letter 3
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 293
 
10.1%
자 149
 
5.2%
주 148
 
5.1%
북 139
 
4.8%
구 137
 
4.7%
시 133
 
4.6%
별 132
 
4.6%
도 131
 
4.5%
치 131
 
4.5%
특 131
 
4.5%
Other values (185) 1366
47.3%
Decimal Number
ValueCountFrequency (%)
1 148
22.9%
2 117
18.1%
3 97
15.0%
4 64
9.9%
0 60
9.3%
5 57
 
8.8%
7 36
 
5.6%
6 27
 
4.2%
8 26
 
4.0%
9 15
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 89
96.7%
: 2
 
2.2%
. 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
709
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2890
62.9%
Common 1698
37.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 293
 
10.1%
자 149
 
5.2%
주 148
 
5.1%
북 139
 
4.8%
구 137
 
4.7%
시 133
 
4.6%
별 132
 
4.6%
도 131
 
4.5%
치 131
 
4.5%
특 131
 
4.5%
Other values (185) 1366
47.3%
Common
ValueCountFrequency (%)
709
41.8%
1 148
 
8.7%
2 117
 
6.9%
) 105
 
6.2%
( 105
 
6.2%
3 97
 
5.7%
, 89
 
5.2%
4 64
 
3.8%
0 60
 
3.5%
5 57
 
3.4%
Other values (8) 147
 
8.7%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2890
62.9%
ASCII 1701
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
709
41.7%
1 148
 
8.7%
2 117
 
6.9%
) 105
 
6.2%
( 105
 
6.2%
3 97
 
5.7%
, 89
 
5.2%
4 64
 
3.8%
0 60
 
3.5%
5 57
 
3.4%
Other values (10) 150
 
8.8%
Hangul
ValueCountFrequency (%)
전 293
 
10.1%
자 149
 
5.2%
주 148
 
5.1%
북 139
 
4.8%
구 137
 
4.7%
시 133
 
4.6%
별 132
 
4.6%
도 131
 
4.5%
치 131
 
4.5%
특 131
 
4.5%
Other values (185) 1366
47.3%

지번주소
Text

Distinct121
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T03:54:05.330368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length26.457364
Min length22

Characters and Unicode

Total characters3413
Distinct characters70
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)90.7%

Sample

1st row전북특별자치도 전주시 완산구 상림동 293
2nd row전북특별자치도 전주시 덕진구 진북동 1124-125
3rd row전북특별자치도 전주시 완산구 색장동 758-1
4th row전북특별자치도 전주시 완산구 대성동 224-1
5th row전북특별자치도 전주시 덕진구 용정동 124-4
ValueCountFrequency (%)
전북특별자치도 129
19.8%
전주시 129
19.8%
완산구 84
 
12.9%
덕진구 45
 
6.9%
효자동3가 18
 
2.8%
금암동 8
 
1.2%
경원동3가 7
 
1.1%
산 7
 
1.1%
218-1 6
 
0.9%
서신동 6
 
0.9%
Other values (163) 213
32.7%
2024-03-15T03:54:07.388480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
523
 
15.3%
전 262
 
7.7%
자 151
 
4.4%
1 139
 
4.1%
북 132
 
3.9%
주 129
 
3.8%
동 129
 
3.8%
구 129
 
3.8%
시 129
 
3.8%
도 129
 
3.8%
Other values (60) 1561
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2157
63.2%
Decimal Number 616
 
18.0%
Space Separator 523
 
15.3%
Dash Punctuation 117
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 262
 
12.1%
자 151
 
7.0%
북 132
 
6.1%
주 129
 
6.0%
동 129
 
6.0%
구 129
 
6.0%
시 129
 
6.0%
도 129
 
6.0%
치 129
 
6.0%
별 129
 
6.0%
Other values (48) 709
32.9%
Decimal Number
ValueCountFrequency (%)
1 139
22.6%
3 93
15.1%
2 84
13.6%
4 57
9.3%
5 56
9.1%
6 45
 
7.3%
8 41
 
6.7%
7 39
 
6.3%
9 33
 
5.4%
0 29
 
4.7%
Space Separator
ValueCountFrequency (%)
523
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2157
63.2%
Common 1256
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 262
 
12.1%
자 151
 
7.0%
북 132
 
6.1%
주 129
 
6.0%
동 129
 
6.0%
구 129
 
6.0%
시 129
 
6.0%
도 129
 
6.0%
치 129
 
6.0%
별 129
 
6.0%
Other values (48) 709
32.9%
Common
ValueCountFrequency (%)
523
41.6%
1 139
 
11.1%
- 117
 
9.3%
3 93
 
7.4%
2 84
 
6.7%
4 57
 
4.5%
5 56
 
4.5%
6 45
 
3.6%
8 41
 
3.3%
7 39
 
3.1%
Other values (2) 62
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2157
63.2%
ASCII 1256
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
523
41.6%
1 139
 
11.1%
- 117
 
9.3%
3 93
 
7.4%
2 84
 
6.7%
4 57
 
4.5%
5 56
 
4.5%
6 45
 
3.6%
8 41
 
3.3%
7 39
 
3.1%
Other values (2) 62
 
4.9%
Hangul
ValueCountFrequency (%)
전 262
 
12.1%
자 151
 
7.0%
북 132
 
6.1%
주 129
 
6.0%
동 129
 
6.0%
구 129
 
6.0%
시 129
 
6.0%
도 129
 
6.0%
치 129
 
6.0%
별 129
 
6.0%
Other values (48) 709
32.9%

위도
Real number (ℝ)

Distinct121
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.825624
Minimum35.758524
Maximum35.891549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T03:54:07.789517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.758524
5-th percentile35.791105
Q135.816164
median35.822355
Q335.837317
95-th percentile35.872188
Maximum35.891549
Range0.13302495
Interquartile range (IQR)0.02115279

Descriptive statistics

Standard deviation0.024087603
Coefficient of variation (CV)0.00067235682
Kurtosis1.0747374
Mean35.825624
Median Absolute Deviation (MAD)0.01279817
Skewness0.28198245
Sum4621.5055
Variance0.00058021261
MonotonicityNot monotonic
2024-03-15T03:54:08.069894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.81616417 6
 
4.7%
35.83902667 2
 
1.6%
35.83486124 2
 
1.6%
35.8205657 2
 
1.6%
35.82010629 1
 
0.8%
35.79435377 1
 
0.8%
35.85795902 1
 
0.8%
35.8486511 1
 
0.8%
35.79541133 1
 
0.8%
35.84410956 1
 
0.8%
Other values (111) 111
86.0%
ValueCountFrequency (%)
35.75852406 1
0.8%
35.76285064 1
0.8%
35.76491504 1
0.8%
35.78365141 1
0.8%
35.78697871 1
0.8%
35.79020447 1
0.8%
35.79092543 1
0.8%
35.79137481 1
0.8%
35.79216281 1
0.8%
35.79328698 1
0.8%
ValueCountFrequency (%)
35.89154901 1
0.8%
35.89021195 1
0.8%
35.8882351 1
0.8%
35.88685534 1
0.8%
35.87690846 1
0.8%
35.87647017 1
0.8%
35.8745613 1
0.8%
35.86862734 1
0.8%
35.86656728 1
0.8%
35.8648934 1
0.8%

경도
Real number (ℝ)

Distinct121
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12017
Minimum127.01648
Maximum127.19659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T03:54:08.369224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01648
5-th percentile127.0686
Q1127.09921
median127.12426
Q3127.14589
95-th percentile127.15965
Maximum127.19659
Range0.1801101
Interquartile range (IQR)0.046672

Descriptive statistics

Standard deviation0.030875366
Coefficient of variation (CV)0.00024288329
Kurtosis0.0046100963
Mean127.12017
Median Absolute Deviation (MAD)0.02304
Skewness-0.43714595
Sum16398.502
Variance0.00095328822
MonotonicityNot monotonic
2024-03-15T03:54:08.776976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0888841 6
 
4.7%
127.1308877 2
 
1.6%
127.0710118 2
 
1.6%
127.1482307 2
 
1.6%
127.0679531 1
 
0.8%
127.1259376 1
 
0.8%
127.0893644 1
 
0.8%
127.1162481 1
 
0.8%
127.1126526 1
 
0.8%
127.0992133 1
 
0.8%
Other values (111) 111
86.0%
ValueCountFrequency (%)
127.0164758 1
0.8%
127.0579855 1
0.8%
127.0580071 1
0.8%
127.0589946 1
0.8%
127.0593368 1
0.8%
127.0679531 1
0.8%
127.0685756 1
0.8%
127.0686389 1
0.8%
127.0710118 2
1.6%
127.0718172 1
0.8%
ValueCountFrequency (%)
127.1965859 1
0.8%
127.1772515 1
0.8%
127.1750577 1
0.8%
127.1705255 1
0.8%
127.164431 1
0.8%
127.163644 1
0.8%
127.16056 1
0.8%
127.158295 1
0.8%
127.1578318 1
0.8%
127.1576425 1
0.8%

인증일자
Text

Distinct128
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T03:54:09.778146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length36
Mean length24.96124
Min length10

Characters and Unicode

Total characters3220
Distinct characters44
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

Unique127 ?
Unique (%)98.4%

Sample

1st row2008-01-07(2007-53)
2nd row2008-10-23(2008-85)
3rd row2008-10-23(2008-86)
4th row2010-01-21(2009-77)
5th row2010-06-01(2010-26)
ValueCountFrequency (%)
2024-08-31전북 10
 
5.0%
2021-09-01 10
 
5.0%
10
 
5.0%
2020-09-02~2023-09-01전북 9
 
4.5%
2021-07-15고용노동부 5
 
2.5%
2021-03-29~2024-03-28전북 4
 
2.0%
2022-09-06~2025-09-05전북 4
 
2.0%
제2021-03호 3
 
1.5%
2021-12-13~2024-12-12문화체육관광형 3
 
1.5%
2021-09-08고용노동부 3
 
1.5%
Other values (135) 139
69.5%
2024-03-15T03:54:11.119713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 643
20.0%
0 597
18.5%
- 480
14.9%
1 418
13.0%
9 114
 
3.5%
3 105
 
3.3%
71
 
2.2%
4 68
 
2.1%
제 64
 
2.0%
8 64
 
2.0%
Other values (34) 596
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2179
67.7%
Dash Punctuation 480
 
14.9%
Other Letter 324
 
10.1%
Space Separator 71
 
2.2%
Open Punctuation 60
 
1.9%
Close Punctuation 59
 
1.8%
Math Symbol 47
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 64
19.8%
호 61
18.8%
북 34
10.5%
전 34
10.5%
부 20
 
6.2%
고 17
 
5.2%
용 16
 
4.9%
노 14
 
4.3%
동 14
 
4.3%
화 5
 
1.5%
Other values (19) 45
13.9%
Decimal Number
ValueCountFrequency (%)
2 643
29.5%
0 597
27.4%
1 418
19.2%
9 114
 
5.2%
3 105
 
4.8%
4 68
 
3.1%
8 64
 
2.9%
5 64
 
2.9%
7 54
 
2.5%
6 52
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Math Symbol
ValueCountFrequency (%)
~ 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2896
89.9%
Hangul 324
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 64
19.8%
호 61
18.8%
북 34
10.5%
전 34
10.5%
부 20
 
6.2%
고 17
 
5.2%
용 16
 
4.9%
노 14
 
4.3%
동 14
 
4.3%
화 5
 
1.5%
Other values (19) 45
13.9%
Common
ValueCountFrequency (%)
2 643
22.2%
0 597
20.6%
- 480
16.6%
1 418
14.4%
9 114
 
3.9%
3 105
 
3.6%
71
 
2.5%
4 68
 
2.3%
8 64
 
2.2%
5 64
 
2.2%
Other values (5) 272
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2896
89.9%
Hangul 324
 
10.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 643
22.2%
0 597
20.6%
- 480
16.6%
1 418
14.4%
9 114
 
3.9%
3 105
 
3.6%
71
 
2.5%
4 68
 
2.3%
8 64
 
2.2%
5 64
 
2.2%
Other values (5) 272
9.4%
Hangul
ValueCountFrequency (%)
제 64
19.8%
호 61
18.8%
북 34
10.5%
전 34
10.5%
부 20
 
6.2%
고 17
 
5.2%
용 16
 
4.9%
노 14
 
4.3%
동 14
 
4.3%
화 5
 
1.5%
Other values (19) 45
13.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-11-28
129 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-28
2nd row2023-11-28
3rd row2023-11-28
4th row2023-11-28
5th row2023-11-28

Common Values

ValueCountFrequency (%)
2023-11-28 129
100.0%

Length

2024-03-15T03:54:11.533730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:54:11.847511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-28 129
100.0%

Interactions

2024-03-15T03:53:47.572533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:53:47.104137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:53:47.783526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:53:47.315962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:54:12.036718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회적목적실현유형사회서비스분야팩스위도경도
사회적목적실현유형1.0000.8561.0000.0000.000
사회서비스분야0.8561.0001.0000.0000.000
팩스1.0001.0001.0001.0001.000
위도0.0000.0001.0001.0000.709
경도0.0000.0001.0000.7091.000
2024-03-15T03:54:12.295805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야사회적목적실현유형
사회서비스분야1.0000.451
사회적목적실현유형0.4511.000
2024-03-15T03:54:12.544552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도사회적목적실현유형사회서비스분야
위도1.000-0.2200.0000.000
경도-0.2201.0000.0000.000
사회적목적실현유형0.0000.0001.0000.451
사회서비스분야0.0000.0000.4511.000

Missing values

2024-03-15T03:53:48.124876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:53:48.455640image/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.
2024-03-15T03:53:48.782364image/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

기관명인증번호사회적목적실현유형사회서비스분야사업내용대표전화번호팩스도로명주소지번주소위도경도인증일자데이터기준일자
0㈜사람과환경2008-01-07(2007-53)일자리제공형환경전주시 재활용품 재활용 선별센터 운영063-229-5212+1661-6425<NA>전북특별자치도 전주시 완산구 안심새길 55(상림동)전북특별자치도 전주시 완산구 상림동 29335.820106127.0679532008-01-07(2007-53)2023-11-28
1우리노인복지센터 행복나눔2008-10-23(2008-85)사회서비스제공형간병간병돌보미·홈헬퍼 파견+ 전문돌봄 서비스제공063-255-7179<NA>전북특별자치도 전주시 덕진구 전주천서로 321 (진북동, 우리노인복지센터)전북특별자치도 전주시 덕진구 진북동 1124-12535.821659127.1335622008-10-23(2008-85)2023-11-28
2전주사회서비스센터2008-10-23(2008-86)사회서비스제공형간병재가간병+ 방문요양서비스 제공063-287-9770<NA>전북특별자치도 전주시 완산구 덕산길 29-1(색장동)전북특별자치도 전주시 완산구 색장동 758-135.783651127.1965862008-10-23(2008-86)2023-11-28
3(유)맛디자인2010-01-21(2009-77)일자리제공형식품(음식)각종 김치 제조 및 판매063-231-7017<NA>전북특별자치도 전주시 완산구 춘향로 5237 (대성동)전북특별자치도 전주시 완산구 대성동 224-135.799718127.1750582010-01-21(2009-77)2023-11-28
4(유)맑은누리2010-06-01(2010-26)일자리제공형환경학교+ 건물+ 다중이용시설 관리 및 청소·소독사업063-242-6013<NA>전북특별자치도 전주시 덕진구 서당길 39 (용정동)전북특별자치도 전주시 덕진구 용정동 124-435.876908127.0579862010-06-01(2010-26)2023-11-28
5(유)아름다운환경2010-07-29(2010-55)일자리제공형환경학교 청소 방호 위탁용역(잡병선별 판매 및 재활용 매장운용)063-232-8382<NA>전북특별자치도 전주시 덕진구 삼례로 102-25(고랑동)전북특별자치도 전주시 덕진구 고랑동 613-335.888235127.0784812010-07-29(2010-55)2023-11-28
6문화포럼나니레2011-11-28(2011-106)일자리제공형문화예술전통문화+ 뮤지컬 창작공연063-231-2553<NA>전북특별자치도 전주시 완산구 전주객사2길 48 (고사동)전북특별자치도 전주시 완산구 고사동 340-135.81939127.1407652011-11-28(2011-106)2023-11-28
7(사)타악연희원 아퀴2011-12-19(2011-151)기타형문화예술퓨전타악+ 전통문화예술 콘텐츠 사업070-7558-4023<NA>전북특별자치도 전주시 완산구 장승배기로 342, 4층 (서서학동, 반석빌딩)전북특별자치도 전주시 완산구 서서학동 35935.802459127.1481822011-12-19(2011-151)2023-11-28
8두메산골 영농조합법인2011-12-19(2011-152)일자리제공형식품(음식)축산물(오리+ 닭) 가공·유통사업063-211-6684<NA>전북특별자치도 전주시 완산구 능안자구길 53 (삼천동3가)전북특별자치도 전주시 완산구 삼천동3가 31035.80091127.0856992011-12-19(2011-152)2023-11-28
9㈜전북광역로컬푸드2012-09-04(2012-57)일자리제공형식품(음식)친환경 안심 먹거리 식자재 도소매063-544-6290<NA>전북특별자치도 전주시 덕진구 남정신기길 16 (남정동)전북특별자치도 전주시 덕진구 남정동 618-435.874561127.0164762012-09-04(2012-57)2023-11-28
기관명인증번호사회적목적실현유형사회서비스분야사업내용대표전화번호팩스도로명주소지번주소위도경도인증일자데이터기준일자
119전북글로벌유통물류사업협동조합2022.04.01~2025.03.31전북 제2022-01호지역사회공헌형(다)유통생산품의 홍보+판매+물류지원063-228-0258<NA>전북특별자치도 전주시 완산구 월선길 5(삼천동3가)전북특별자치도 전주시 완산구 삼천동3가 49535.795443127.0814612022-04-01~2025-03-31전북 제2022-01호2023-11-28
120주식회사 다루다기프트2022.04.01~2025.03.31전북 제2022-02호일자리제공형유통판촉물 및 디자인+ 감사패+ 우산 등070-4242-7703<NA>전북특별자치도 전주시 완산구 홍산로 249, 6층603호전북특별자치도 전주시 완산구 효자동2가 1239-535.816018127.1055172022-04-01~2025-03-31전북 제2022-02호2023-11-28
121㈜필리그란폴스튜디오2022.04.20고용노동부 제2022-71호일자리제공형문화예술폴댄스+ 폴요가+ 폴스트레칭+ 건강체조+ 비만치료063-272-8290<NA>전북특별자치도 전주시 완산구 유연로 297, 3층(서신동)전북특별자치도 전주시 완산구 서신동 864-235.82556127.118082022-04-20고용노동부 제2022-71호2023-11-28
122㈜엑솔2022.06.21고용노동부공고일자리제공형기타(서비스)중소기업+ 사회적경제기업 대상 수출 컨설팅 서비스070-7723-1212<NA>전북특별자치도 전주시 덕진구 들사평서로12, 301호(덕진동1가)전북특별자치도 전주시 덕진구 덕진동1가 1437-1835.837315127.1212242022-06-21고용노동부공고2023-11-28
123주식회사 프롬히어2022.09.06~2025.09.05전북 제2022-11호기타(창의ㆍ혁신)형문화예술문화재보존 활용 등 문화유산 큐레이터063-232-0736<NA>전북특별자치도 전주시 완산구 문화2길 10-7전북특별자치도 전주시 완산구 중노송동 253-3335.824075127.1563352022-09-06~2025-09-05전북 제2022-11호2023-11-28
124나을협동조합2022.09.06~2025.09.05전북 제2022-12호일자리제공형문화영상제작+ 문화행사+ 라이브커머스+ 예술+ 스포츠+ 여가관련<NA><NA>전북특별자치도 전주시 덕진구 기린대로 548 덕진동2가전북특별자치도 전주시 덕진구 덕진동2가 206-835.84674127.119722022-09-06~2025-09-05전북 제2022-12호2023-11-28
125주식회사 포아워스킨2022.09.06~2025.09.05전북 제2022-13호일자리제공형기타화장품제조+ 유통+ 피부관리실 운영 등070-8666-0068<NA>전북특별자치도 전주시 덕진구 오공로 120, 만성동전북특별자치도 전주시 덕진구 만성동 1166-135.83532127.0686392022-09-06~2025-09-05전북 제2022-13호2023-11-28
126주식회사 향유2022.09.06~2025.09.05전북 제2022-14호일자리제공형문화문화예술행사<NA><NA>전북특별자치도 전주시 완산구 홍산남로 75, 효자동3가전북특별자치도 전주시 완산구 효자동3가 1539-335.816012127.1101952022-09-06~2025-09-05전북 제2022-14호2023-11-28
127(유)플로에듀2022.09.16고용노동부 제2022-282호사회서비스제공형교육원예교육개발 및 서비스<NA><NA>전북특별자치도 전주시 완산구 황강서원4길 15-10 (효자동3가) , 101호(효자동3가, 다솜빌)전북특별자치도 전주시 완산구 효자동3가 1604-1435.82731127.1012212022-09-16고용노동부 제2022-282호2023-11-28
128(주)이노컨2022.09.16고용노동부 제2022-283호일자리제공형제조 및 교육4차산업 교육서비스(드론+ 3D프린트+ 코딩)063-232-7912<NA>전북특별자치도 전주시 완산구 천잠로 303, 전주대학교 벤처창업관 314, 315호 (효자동2가)전북특별자치도 전주시 완산구 효자동3가 산 218-135.816164127.0888842022-09-16고용노동부 제2022-283호2023-11-28