Overview

Dataset statistics

Number of variables8
Number of observations306
Missing cells189
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.6 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Categorical3
Text3
DateTime1

Dataset

Description경상남도 사회적협동조합 설립현황(협동조합명, 수리(인가)일, 대표연락처, 업종, 유형, 주요사업, 주소)에 대한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15056135

Alerts

구분 has constant value ""Constant
유형 has constant value ""Constant
대표연락처 has 189 (61.8%) missing valuesMissing
연번 has unique valuesUnique
협동조합명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:56:42.090215
Analysis finished2023-12-11 00:56:43.209338
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.5
Minimum1
Maximum306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T09:56:43.298903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.25
Q177.25
median153.5
Q3229.75
95-th percentile290.75
Maximum306
Range305
Interquartile range (IQR)152.5

Descriptive statistics

Standard deviation88.478811
Coefficient of variation (CV)0.57640919
Kurtosis-1.2
Mean153.5
Median Absolute Deviation (MAD)76.5
Skewness0
Sum46971
Variance7828.5
MonotonicityStrictly increasing
2023-12-11T09:56:43.450266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
203 1
 
0.3%
210 1
 
0.3%
209 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
202 1
 
0.3%
Other values (296) 296
96.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
306 1
0.3%
305 1
0.3%
304 1
0.3%
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
사회적협동조합
306 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사회적협동조합 306
100.0%

Length

2023-12-11T09:56:43.589223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:56:43.693943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사회적협동조합 306
100.0%

협동조합명
Text

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T09:56:44.013515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length24
Mean length13.251634
Min length8

Characters and Unicode

Total characters4055
Distinct characters352
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique306 ?
Unique (%)100.0%

Sample

1st row한림사회적협동조합
2nd row모두의 햇빛 경남에너지전환 사회적협동조합
3rd row공감나침반 사회적협동조합
4th row사회적협동조합 하동군농업인재인력은행
5th row인산 사회적협동조합
ValueCountFrequency (%)
사회적협동조합 246
41.1%
마을관리 15
 
2.5%
보듬 2
 
0.3%
진해 2
 
0.3%
양산국유림영림단 1
 
0.2%
녹색소리사회적협동조합 1
 
0.2%
온누리 1
 
0.2%
희망드림 1
 
0.2%
해오름 1
 
0.2%
예랑 1
 
0.2%
Other values (328) 328
54.8%
2023-12-11T09:56:44.577705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 325
 
8.0%
사 324
 
8.0%
회 314
 
7.7%
합 314
 
7.7%
조 309
 
7.6%
적 308
 
7.6%
협 307
 
7.6%
293
 
7.2%
리 47
 
1.2%
마 46
 
1.1%
Other values (342) 1468
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3696
91.1%
Space Separator 293
 
7.2%
Lowercase Letter 29
 
0.7%
Uppercase Letter 22
 
0.5%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 325
 
8.8%
사 324
 
8.8%
회 314
 
8.5%
합 314
 
8.5%
조 309
 
8.4%
적 308
 
8.3%
협 307
 
8.3%
리 47
 
1.3%
마 46
 
1.2%
을 40
 
1.1%
Other values (309) 1362
36.9%
Lowercase Letter
ValueCountFrequency (%)
o 5
17.2%
e 4
13.8%
a 4
13.8%
n 2
 
6.9%
c 2
 
6.9%
i 2
 
6.9%
r 2
 
6.9%
y 1
 
3.4%
h 1
 
3.4%
g 1
 
3.4%
Other values (5) 5
17.2%
Uppercase Letter
ValueCountFrequency (%)
T 4
18.2%
N 3
13.6%
S 2
9.1%
H 2
9.1%
E 2
9.1%
F 2
9.1%
C 2
9.1%
G 1
 
4.5%
K 1
 
4.5%
I 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3695
91.1%
Common 308
 
7.6%
Latin 51
 
1.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 325
 
8.8%
사 324
 
8.8%
회 314
 
8.5%
합 314
 
8.5%
조 309
 
8.4%
적 308
 
8.3%
협 307
 
8.3%
리 47
 
1.3%
마 46
 
1.2%
을 40
 
1.1%
Other values (308) 1361
36.8%
Latin
ValueCountFrequency (%)
o 5
 
9.8%
e 4
 
7.8%
a 4
 
7.8%
T 4
 
7.8%
N 3
 
5.9%
S 2
 
3.9%
H 2
 
3.9%
E 2
 
3.9%
F 2
 
3.9%
n 2
 
3.9%
Other values (17) 21
41.2%
Common
ValueCountFrequency (%)
293
95.1%
( 6
 
1.9%
) 6
 
1.9%
3 1
 
0.3%
6 1
 
0.3%
5 1
 
0.3%
Han
ValueCountFrequency (%)
通 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3695
91.1%
ASCII 359
 
8.9%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 325
 
8.8%
사 324
 
8.8%
회 314
 
8.5%
합 314
 
8.5%
조 309
 
8.4%
적 308
 
8.3%
협 307
 
8.3%
리 47
 
1.3%
마 46
 
1.2%
을 40
 
1.1%
Other values (308) 1361
36.8%
ASCII
ValueCountFrequency (%)
293
81.6%
( 6
 
1.7%
) 6
 
1.7%
o 5
 
1.4%
e 4
 
1.1%
a 4
 
1.1%
T 4
 
1.1%
N 3
 
0.8%
S 2
 
0.6%
H 2
 
0.6%
Other values (23) 30
 
8.4%
CJK
ValueCountFrequency (%)
通 1
100.0%

수리(인가)일
Date

Distinct258
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2013-04-17 00:00:00
Maximum2023-04-21 00:00:00
2023-12-11T09:56:44.760876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:44.917673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표연락처
Text

MISSING 

Distinct117
Distinct (%)100.0%
Missing189
Missing (%)61.8%
Memory size2.5 KiB
2023-12-11T09:56:45.180792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.136752
Min length12

Characters and Unicode

Total characters1420
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

Unique117 ?
Unique (%)100.0%

Sample

1st row053-253-0001
2nd row055-275-2983
3rd row055-882-5936
4th row055-264-2985
5th row055-385-6651
ValueCountFrequency (%)
055-389-0833 1
 
0.9%
070-4410-2020 1
 
0.9%
055-277-2018 1
 
0.9%
055-583-4020 1
 
0.9%
055-356-7983 1
 
0.9%
055-743-9511 1
 
0.9%
070-4850-5846 1
 
0.9%
070-7556-9965 1
 
0.9%
055-643-0226 1
 
0.9%
055-862-6281 1
 
0.9%
Other values (107) 107
91.5%
2023-12-11T09:56:45.642731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 277
19.5%
- 234
16.5%
0 212
14.9%
2 113
8.0%
7 111
7.8%
3 108
 
7.6%
6 83
 
5.8%
4 80
 
5.6%
9 70
 
4.9%
1 67
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1186
83.5%
Dash Punctuation 234
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 277
23.4%
0 212
17.9%
2 113
9.5%
7 111
9.4%
3 108
 
9.1%
6 83
 
7.0%
4 80
 
6.7%
9 70
 
5.9%
1 67
 
5.6%
8 65
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 234
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 277
19.5%
- 234
16.5%
0 212
14.9%
2 113
8.0%
7 111
7.8%
3 108
 
7.6%
6 83
 
5.8%
4 80
 
5.6%
9 70
 
4.9%
1 67
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 277
19.5%
- 234
16.5%
0 212
14.9%
2 113
8.0%
7 111
7.8%
3 108
 
7.6%
6 83
 
5.8%
4 80
 
5.6%
9 70
 
4.9%
1 67
 
4.7%

업종
Categorical

Distinct17
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
보건업 및 사회복지서비스업
121 
교육 서비스업
67 
사업시설관리 및 사업지원 서비스업
32 
농업, 어업 및 임업
22 
예술, 스포츠 및 여가관련 서비스업
19 
Other values (12)
45 

Length

Max length25
Median length23
Mean length12.800654
Min length3

Unique

Unique3 ?
Unique (%)1.0%

Sample

1st row사업시설관리 및 사업지원 서비스업
2nd row전기, 가스, 증기 및 수도사업
3rd row교육 서비스업
4th row사업시설관리 및 사업지원 서비스업
5th row예술, 스포츠 및 여가관련 서비스업

Common Values

ValueCountFrequency (%)
보건업 및 사회복지서비스업 121
39.5%
교육 서비스업 67
21.9%
사업시설관리 및 사업지원 서비스업 32
 
10.5%
농업, 어업 및 임업 22
 
7.2%
예술, 스포츠 및 여가관련 서비스업 19
 
6.2%
전기, 가스, 증기 및 수도사업 12
 
3.9%
국제 및 외국기관 9
 
2.9%
협회 및 단체 수리 및 기타 개인 서비스업 5
 
1.6%
도매 및 소매업 4
 
1.3%
제조업 3
 
1.0%
Other values (7) 12
 
3.9%

Length

2023-12-11T09:56:45.825077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 236
23.9%
서비스업 124
12.6%
보건업 121
12.2%
사회복지서비스업 121
12.2%
교육 67
 
6.8%
사업시설관리 32
 
3.2%
사업지원 32
 
3.2%
농업 22
 
2.2%
어업 22
 
2.2%
임업 22
 
2.2%
Other values (38) 189
19.1%

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
다중이해관계자
306 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
다중이해관계자 306
100.0%

Length

2023-12-11T09:56:45.973715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:56:46.075923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
다중이해관계자 306
100.0%

주소
Text

UNIQUE 

Distinct306
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T09:56:46.454803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length30.20915
Min length16

Characters and Unicode

Total characters9244
Distinct characters280
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique306 ?
Unique (%)100.0%

Sample

1st row경상남도 김해시 한림면 한림로458번길 20 한림면 장방리 1313-73
2nd row경상남도 진주시 진양호로 151-1 2층
3rd row경상남도 진주시 문산읍 월아산로1048번길 19-2 2층
4th row경상남도 하동군 하동읍 군청로 36 2층
5th row경상남도 창녕군 대합면 우포2로 370
ValueCountFrequency (%)
경상남도 303
 
15.7%
창원시 113
 
5.9%
김해시 37
 
1.9%
1층 32
 
1.7%
의창구 31
 
1.6%
2층 31
 
1.6%
양산시 28
 
1.5%
성산구 23
 
1.2%
진주시 23
 
1.2%
마산합포구 22
 
1.1%
Other values (897) 1286
66.7%
2023-12-11T09:56:47.054504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1626
 
17.6%
1 382
 
4.1%
남 352
 
3.8%
상 341
 
3.7%
도 314
 
3.4%
경 309
 
3.3%
동 280
 
3.0%
시 250
 
2.7%
로 222
 
2.4%
2 221
 
2.4%
Other values (270) 4947
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5501
59.5%
Space Separator 1629
 
17.6%
Decimal Number 1568
 
17.0%
Open Punctuation 186
 
2.0%
Close Punctuation 186
 
2.0%
Dash Punctuation 108
 
1.2%
Other Punctuation 46
 
0.5%
Uppercase Letter 15
 
0.2%
Math Symbol 3
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 352
 
6.4%
상 341
 
6.2%
도 314
 
5.7%
경 309
 
5.6%
동 280
 
5.1%
시 250
 
4.5%
로 222
 
4.0%
창 182
 
3.3%
길 163
 
3.0%
원 160
 
2.9%
Other values (243) 2928
53.2%
Decimal Number
ValueCountFrequency (%)
1 382
24.4%
2 221
14.1%
3 199
12.7%
0 161
10.3%
4 135
 
8.6%
5 126
 
8.0%
6 90
 
5.7%
9 89
 
5.7%
8 84
 
5.4%
7 81
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
26.7%
A 3
20.0%
Y 2
13.3%
M 2
13.3%
C 2
13.3%
S 1
 
6.7%
F 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 33
71.7%
. 9
 
19.6%
· 4
 
8.7%
Space Separator
ValueCountFrequency (%)
1626
99.8%
　 3
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 186
100.0%
Close Punctuation
ValueCountFrequency (%)
) 186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5501
59.5%
Common 3728
40.3%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 352
 
6.4%
상 341
 
6.2%
도 314
 
5.7%
경 309
 
5.6%
동 280
 
5.1%
시 250
 
4.5%
로 222
 
4.0%
창 182
 
3.3%
길 163
 
3.0%
원 160
 
2.9%
Other values (243) 2928
53.2%
Common
ValueCountFrequency (%)
1626
43.6%
1 382
 
10.2%
2 221
 
5.9%
3 199
 
5.3%
( 186
 
5.0%
) 186
 
5.0%
0 161
 
4.3%
4 135
 
3.6%
5 126
 
3.4%
- 108
 
2.9%
Other values (10) 398
 
10.7%
Latin
ValueCountFrequency (%)
B 4
26.7%
A 3
20.0%
Y 2
13.3%
M 2
13.3%
C 2
13.3%
S 1
 
6.7%
F 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5501
59.5%
ASCII 3736
40.4%
None 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1626
43.5%
1 382
 
10.2%
2 221
 
5.9%
3 199
 
5.3%
( 186
 
5.0%
) 186
 
5.0%
0 161
 
4.3%
4 135
 
3.6%
5 126
 
3.4%
- 108
 
2.9%
Other values (15) 406
 
10.9%
Hangul
ValueCountFrequency (%)
남 352
 
6.4%
상 341
 
6.2%
도 314
 
5.7%
경 309
 
5.6%
동 280
 
5.1%
시 250
 
4.5%
로 222
 
4.0%
창 182
 
3.3%
길 163
 
3.0%
원 160
 
2.9%
Other values (243) 2928
53.2%
None
ValueCountFrequency (%)
· 4
57.1%
　 3
42.9%

Interactions

2023-12-11T09:56:42.531510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:56:47.152096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.351
업종0.3511.000
2023-12-11T09:56:47.253871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.142
업종0.1421.000

Missing values

2023-12-11T09:56:42.674499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:56:43.135225image/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

연번구분협동조합명수리(인가)일대표연락처업종유형주소
01사회적협동조합한림사회적협동조합2023-04-21<NA>사업시설관리 및 사업지원 서비스업다중이해관계자경상남도 김해시 한림면 한림로458번길 20 한림면 장방리 1313-73
12사회적협동조합모두의 햇빛 경남에너지전환 사회적협동조합2023-04-17<NA>전기, 가스, 증기 및 수도사업다중이해관계자경상남도 진주시 진양호로 151-1 2층
23사회적협동조합공감나침반 사회적협동조합2023-03-31<NA>교육 서비스업다중이해관계자경상남도 진주시 문산읍 월아산로1048번길 19-2 2층
34사회적협동조합사회적협동조합 하동군농업인재인력은행2023-03-29<NA>사업시설관리 및 사업지원 서비스업다중이해관계자경상남도 하동군 하동읍 군청로 36 2층
45사회적협동조합인산 사회적협동조합2023-03-20<NA>예술, 스포츠 및 여가관련 서비스업다중이해관계자경상남도 창녕군 대합면 우포2로 370
56사회적협동조합사회적협동조합 노인세상2023-03-20<NA>보건업 및 사회복지서비스업다중이해관계자경상남도 고성군 회화면 엑스포로 32 2층
67사회적협동조합하일 사회적협동조합2023-03-17<NA>보건업 및 사회복지서비스업다중이해관계자경상남도 고성군 하일면 공룡로 979
78사회적협동조합동그라미 사회적협동조합2023-03-13<NA>보건업 및 사회복지서비스업다중이해관계자경상남도 김해시 흥동로69번길 7 1층
89사회적협동조합그레이스 사회적협동조합2023-02-20<NA>교육 서비스업다중이해관계자경상남도 창원시 의창구 대봉로26번길 12-19 3층
910사회적협동조합지리산 팔령골 사회적협동조합2023-02-20<NA>보건업 및 사회복지서비스업다중이해관계자경상남도 함양군 함양읍 삼봉로 542 시목마을회관 2층
연번구분협동조합명수리(인가)일대표연락처업종유형주소
296297사회적협동조합지리산문화예술사회적협동조합 구름마2015-06-11055-883-2090예술, 스포츠 및 여가관련 서비스업다중이해관계자경상남도 하동군 악양면 악양동로 176 지리산문화예술사회적협동조합 구름마
297298사회적협동조합사회적협동조합 마산희망지역자활센터2015-03-25055-247-7045보건업 및 사회복지서비스업다중이해관계자경상남도 창원시 마산합포구 동서북7길 51 (남성동) 3층
298299사회적협동조합나눔과 돌봄 사회적협동조합2015-01-23055-387-3147보건업 및 사회복지서비스업다중이해관계자경상남도 양산시 서일동1길 45 (중부동) -
299300사회적협동조합사회적협동조합 사나래2014-10-14055-747-0179국제 및 외국기관다중이해관계자경상남도 진주시 망경남길44번길 21 (망경동) 2층
300301사회적협동조합숲교육 사회적협동조합2014-07-28055-748-9600교육 서비스업다중이해관계자경상남도 진주시 대곡면 신흥길1번길 2-86 숲교육사회적협동조합
301302사회적협동조합방과후교육 사회적협동조합2014-01-16055-274-5700협회 및 단체 수리 및 기타 개인 서비스업다중이해관계자경상남도 창원시 성산구 삼정자로33번길 10 (성주동) .
302303사회적협동조합홍합양식사회적협동조합2013-12-27055-211-1316농업, 어업 및 임업다중이해관계자경상남도 창원시 마산합포구신포동1가 수산2길 (35~108 번지) 81번지
303304사회적협동조합거창공유농업사회적협동조합2013-11-05055-945-8777도매 및 소매업다중이해관계자경상남도 거창군 거창읍 거열로 40 1층
304305사회적협동조합경남행복한교육 사회적협동조합2013-09-06070-7554-0111교육 서비스업다중이해관계자경상남도 창원시 성산구 신월로 42 507호, 508호
305306사회적협동조합거창군 상시고용 사회적협동조합2013-04-17055-940-3727국제 및 외국기관다중이해관계자경상남도 거창군 거창읍 시장1길 (3~38 번지) 20