Overview

Dataset statistics

Number of variables5
Number of observations1042
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.8 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description광주광역시 소재 일반협동조합 설립현황(신고)에 대한 자료로써 조합명, 소재지, 업종, 품목정보에 대한 정보를 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15121542/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:06:24.508861
Analysis finished2023-12-12 14:06:25.594480
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1042
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean521.5
Minimum1
Maximum1042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.3 KiB
2023-12-12T23:06:25.680296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile53.05
Q1261.25
median521.5
Q3781.75
95-th percentile989.95
Maximum1042
Range1041
Interquartile range (IQR)520.5

Descriptive statistics

Standard deviation300.94379
Coefficient of variation (CV)0.57707343
Kurtosis-1.2
Mean521.5
Median Absolute Deviation (MAD)260.5
Skewness0
Sum543403
Variance90567.167
MonotonicityStrictly increasing
2023-12-12T23:06:25.842369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
686 1
 
0.1%
688 1
 
0.1%
689 1
 
0.1%
690 1
 
0.1%
691 1
 
0.1%
692 1
 
0.1%
693 1
 
0.1%
694 1
 
0.1%
695 1
 
0.1%
Other values (1032) 1032
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1042 1
0.1%
1041 1
0.1%
1040 1
0.1%
1039 1
0.1%
1038 1
0.1%
1037 1
0.1%
1036 1
0.1%
1035 1
0.1%
1034 1
0.1%
1033 1
0.1%
Distinct1039
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-12-12T23:06:26.082029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length9.6919386
Min length5

Characters and Unicode

Total characters10099
Distinct characters581
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1036 ?
Unique (%)99.4%

Sample

1st row산수2동호랑꼬두메협동조합
2nd row밋밋들협동조합
3rd row블루밍포레스트협동조합
4th row그린웍스협동조합
5th row신효천마을협동조합
ValueCountFrequency (%)
광주미술협동조합 2
 
0.2%
플리마코협동조합 2
 
0.2%
신포니아협동조합 2
 
0.2%
클린광산협동조합 1
 
0.1%
협동조합시민의꿈 1
 
0.1%
아침햇살스튜디오협동조합 1
 
0.1%
한국해상부유구조물협동조합 1
 
0.1%
굿데이협동조합 1
 
0.1%
푸른솔협동조합 1
 
0.1%
조은특수농업경영인협동조합 1
 
0.1%
Other values (1029) 1029
98.8%
2023-12-12T23:06:26.467224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1096
 
10.9%
1059
 
10.5%
1052
 
10.4%
1046
 
10.4%
170
 
1.7%
142
 
1.4%
114
 
1.1%
107
 
1.1%
86
 
0.9%
83
 
0.8%
Other values (571) 5144
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9944
98.5%
Uppercase Letter 60
 
0.6%
Lowercase Letter 26
 
0.3%
Decimal Number 25
 
0.2%
Open Punctuation 19
 
0.2%
Close Punctuation 19
 
0.2%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1096
 
11.0%
1059
 
10.6%
1052
 
10.6%
1046
 
10.5%
170
 
1.7%
142
 
1.4%
114
 
1.1%
107
 
1.1%
86
 
0.9%
83
 
0.8%
Other values (521) 4989
50.2%
Uppercase Letter
ValueCountFrequency (%)
C 6
 
10.0%
K 5
 
8.3%
B 5
 
8.3%
A 5
 
8.3%
D 4
 
6.7%
S 4
 
6.7%
I 4
 
6.7%
L 4
 
6.7%
M 3
 
5.0%
H 3
 
5.0%
Other values (11) 17
28.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
23.1%
s 3
11.5%
r 2
 
7.7%
f 2
 
7.7%
t 2
 
7.7%
i 2
 
7.7%
y 1
 
3.8%
a 1
 
3.8%
m 1
 
3.8%
g 1
 
3.8%
Other values (5) 5
19.2%
Decimal Number
ValueCountFrequency (%)
1 7
28.0%
5 5
20.0%
3 4
16.0%
9 3
12.0%
4 2
 
8.0%
2 1
 
4.0%
6 1
 
4.0%
7 1
 
4.0%
0 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
· 2
33.3%
# 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9943
98.5%
Latin 86
 
0.9%
Common 69
 
0.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1096
 
11.0%
1059
 
10.7%
1052
 
10.6%
1046
 
10.5%
170
 
1.7%
142
 
1.4%
114
 
1.1%
107
 
1.1%
86
 
0.9%
83
 
0.8%
Other values (520) 4988
50.2%
Latin
ValueCountFrequency (%)
e 6
 
7.0%
C 6
 
7.0%
K 5
 
5.8%
B 5
 
5.8%
A 5
 
5.8%
D 4
 
4.7%
S 4
 
4.7%
I 4
 
4.7%
L 4
 
4.7%
M 3
 
3.5%
Other values (26) 40
46.5%
Common
ValueCountFrequency (%)
( 19
27.5%
) 19
27.5%
1 7
 
10.1%
5 5
 
7.2%
3 4
 
5.8%
9 3
 
4.3%
& 3
 
4.3%
4 2
 
2.9%
· 2
 
2.9%
2 1
 
1.4%
Other values (4) 4
 
5.8%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9943
98.5%
ASCII 153
 
1.5%
None 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1096
 
11.0%
1059
 
10.7%
1052
 
10.6%
1046
 
10.5%
170
 
1.7%
142
 
1.4%
114
 
1.1%
107
 
1.1%
86
 
0.9%
83
 
0.8%
Other values (520) 4988
50.2%
ASCII
ValueCountFrequency (%)
( 19
 
12.4%
) 19
 
12.4%
1 7
 
4.6%
e 6
 
3.9%
C 6
 
3.9%
5 5
 
3.3%
K 5
 
3.3%
B 5
 
3.3%
A 5
 
3.3%
D 4
 
2.6%
Other values (39) 72
47.1%
None
ValueCountFrequency (%)
· 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct1016
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-12-12T23:06:26.863267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length50
Mean length28.715931
Min length18

Characters and Unicode

Total characters29922
Distinct characters359
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

Unique990 ?
Unique (%)95.0%

Sample

1st row광주광역시 동구 무등로 504-1 (산수동)
2nd row광주광역시 남구 큰방림길 24, 보물찾기문구 (방림동)
3rd row광주광역시 남구 봉선1로 87, 106동 1105호 (방림동, 모아아파트)
4th row광주광역시 서구 발산로 33-1 (양동)
5th row광주광역시 남구 신효천3길 8 (행암동)
ValueCountFrequency (%)
광주광역시 1039
 
17.8%
광산구 258
 
4.4%
북구 255
 
4.4%
서구 203
 
3.5%
동구 178
 
3.0%
남구 144
 
2.5%
2층 92
 
1.6%
3층 55
 
0.9%
1층 54
 
0.9%
쌍촌동 24
 
0.4%
Other values (1680) 3547
60.6%
2023-12-12T23:06:27.370580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4807
 
16.1%
2370
 
7.9%
1432
 
4.8%
1 1159
 
3.9%
1090
 
3.6%
1068
 
3.6%
1058
 
3.5%
1044
 
3.5%
( 1038
 
3.5%
) 1038
 
3.5%
Other values (349) 13818
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17152
57.3%
Decimal Number 4901
 
16.4%
Space Separator 4807
 
16.1%
Open Punctuation 1038
 
3.5%
Close Punctuation 1038
 
3.5%
Other Punctuation 642
 
2.1%
Dash Punctuation 296
 
1.0%
Uppercase Letter 40
 
0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2370
 
13.8%
1432
 
8.3%
1090
 
6.4%
1068
 
6.2%
1058
 
6.2%
1044
 
6.1%
989
 
5.8%
494
 
2.9%
485
 
2.8%
427
 
2.5%
Other values (312) 6695
39.0%
Uppercase Letter
ValueCountFrequency (%)
B 13
32.5%
I 5
 
12.5%
C 4
 
10.0%
H 2
 
5.0%
L 2
 
5.0%
P 2
 
5.0%
Y 2
 
5.0%
E 2
 
5.0%
G 2
 
5.0%
T 2
 
5.0%
Other values (3) 4
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 1159
23.6%
2 795
16.2%
3 568
11.6%
0 460
 
9.4%
4 421
 
8.6%
5 358
 
7.3%
6 305
 
6.2%
7 303
 
6.2%
8 281
 
5.7%
9 251
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
k 1
14.3%
b 1
14.3%
a 1
14.3%
t 1
14.3%
h 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 640
99.7%
/ 1
 
0.2%
· 1
 
0.2%
Space Separator
ValueCountFrequency (%)
4807
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1038
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1038
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 296
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17152
57.3%
Common 12723
42.5%
Latin 47
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2370
 
13.8%
1432
 
8.3%
1090
 
6.4%
1068
 
6.2%
1058
 
6.2%
1044
 
6.1%
989
 
5.8%
494
 
2.9%
485
 
2.8%
427
 
2.5%
Other values (312) 6695
39.0%
Latin
ValueCountFrequency (%)
B 13
27.7%
I 5
 
10.6%
C 4
 
8.5%
H 2
 
4.3%
L 2
 
4.3%
P 2
 
4.3%
Y 2
 
4.3%
E 2
 
4.3%
G 2
 
4.3%
e 2
 
4.3%
Other values (9) 11
23.4%
Common
ValueCountFrequency (%)
4807
37.8%
1 1159
 
9.1%
( 1038
 
8.2%
) 1038
 
8.2%
2 795
 
6.2%
, 640
 
5.0%
3 568
 
4.5%
0 460
 
3.6%
4 421
 
3.3%
5 358
 
2.8%
Other values (8) 1439
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17152
57.3%
ASCII 12769
42.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4807
37.6%
1 1159
 
9.1%
( 1038
 
8.1%
) 1038
 
8.1%
2 795
 
6.2%
, 640
 
5.0%
3 568
 
4.4%
0 460
 
3.6%
4 421
 
3.3%
5 358
 
2.8%
Other values (26) 1485
 
11.6%
Hangul
ValueCountFrequency (%)
2370
 
13.8%
1432
 
8.3%
1090
 
6.4%
1068
 
6.2%
1058
 
6.2%
1044
 
6.1%
989
 
5.8%
494
 
2.9%
485
 
2.8%
427
 
2.5%
Other values (312) 6695
39.0%
None
ValueCountFrequency (%)
· 1
100.0%

업종
Categorical

Distinct17
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
도매 및 소매업
249 
협회 및 단체, 수리 및 기타 개인 서비스업
146 
예술, 스포츠 및 여가관련 서비스업
141 
제조업
99 
교육 서비스업
94 
Other values (12)
313 

Length

Max length31
Median length24
Mean length13.127639
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row협회 및 단체, 수리 및 기타 개인 서비스업
2nd row제조업
3rd row제조업
4th row협회 및 단체, 수리 및 기타 개인 서비스업
5th row하수, 폐기물 처리, 원료재생 및 환경 복원업

Common Values

ValueCountFrequency (%)
도매 및 소매업 249
23.9%
협회 및 단체, 수리 및 기타 개인 서비스업 146
14.0%
예술, 스포츠 및 여가관련 서비스업 141
13.5%
제조업 99
 
9.5%
교육 서비스업 94
 
9.0%
농업, 어업 및 임업 79
 
7.6%
보건업 및 사회복지서비스업 56
 
5.4%
출판, 영상, 방송통신 및 정보서비스업 44
 
4.2%
전문, 과학 및 기술 서비스업 33
 
3.2%
하수, 폐기물 처리, 원료재생 및 환경 복원업 22
 
2.1%
Other values (7) 79
 
7.6%

Length

2023-12-12T23:06:27.521870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
974
23.3%
서비스업 432
 
10.3%
도매 249
 
6.0%
소매업 249
 
6.0%
협회 146
 
3.5%
단체 146
 
3.5%
수리 146
 
3.5%
기타 146
 
3.5%
개인 146
 
3.5%
예술 141
 
3.4%
Other values (41) 1402
33.6%
Distinct833
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size8.3 KiB
2023-12-12T23:06:27.818074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length35
Mean length9.9462572
Min length2

Characters and Unicode

Total characters10364
Distinct characters429
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique768 ?
Unique (%)73.7%

Sample

1st row지역공동체(마을) 활동 사업 등
2nd row공예품 생산 및 교육, 체험, 마을카페 등
3rd row마을카페 운영을 위한 휴게음식점 등
4th row신재생에너지 사업 등
5th row마을 태양광 발전사업
ValueCountFrequency (%)
192
 
7.3%
130
 
4.9%
사업 116
 
4.4%
교육 59
 
2.2%
유통 32
 
1.2%
농산물 30
 
1.1%
판매 28
 
1.1%
식품 27
 
1.0%
판매사업 27
 
1.0%
문화예술 27
 
1.0%
Other values (1116) 1974
74.7%
2023-12-12T23:06:28.657275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1600
 
15.4%
, 483
 
4.7%
435
 
4.2%
304
 
2.9%
206
 
2.0%
192
 
1.9%
187
 
1.8%
180
 
1.7%
153
 
1.5%
143
 
1.4%
Other values (419) 6481
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8198
79.1%
Space Separator 1600
 
15.4%
Other Punctuation 519
 
5.0%
Uppercase Letter 17
 
0.2%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Decimal Number 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
435
 
5.3%
304
 
3.7%
206
 
2.5%
192
 
2.3%
187
 
2.3%
180
 
2.2%
153
 
1.9%
143
 
1.7%
141
 
1.7%
141
 
1.7%
Other values (394) 6116
74.6%
Uppercase Letter
ValueCountFrequency (%)
T 3
17.6%
E 3
17.6%
I 2
11.8%
C 2
11.8%
V 1
 
5.9%
M 1
 
5.9%
S 1
 
5.9%
H 1
 
5.9%
G 1
 
5.9%
A 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 483
93.1%
· 25
 
4.8%
5
 
1.0%
/ 3
 
0.6%
. 3
 
0.6%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
4 1
 
20.0%
2 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
66.7%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
1600
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8198
79.1%
Common 2146
 
20.7%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
435
 
5.3%
304
 
3.7%
206
 
2.5%
192
 
2.3%
187
 
2.3%
180
 
2.2%
153
 
1.9%
143
 
1.7%
141
 
1.7%
141
 
1.7%
Other values (394) 6116
74.6%
Latin
ValueCountFrequency (%)
T 3
15.0%
E 3
15.0%
I 2
10.0%
s 2
10.0%
C 2
10.0%
n 1
 
5.0%
V 1
 
5.0%
M 1
 
5.0%
S 1
 
5.0%
H 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
1600
74.6%
, 483
 
22.5%
· 25
 
1.2%
) 10
 
0.5%
( 10
 
0.5%
5
 
0.2%
/ 3
 
0.1%
3 3
 
0.1%
. 3
 
0.1%
- 2
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8198
79.1%
ASCII 2136
 
20.6%
None 25
 
0.2%
Punctuation 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1600
74.9%
, 483
 
22.6%
) 10
 
0.5%
( 10
 
0.5%
T 3
 
0.1%
E 3
 
0.1%
/ 3
 
0.1%
3 3
 
0.1%
. 3
 
0.1%
I 2
 
0.1%
Other values (13) 16
 
0.7%
Hangul
ValueCountFrequency (%)
435
 
5.3%
304
 
3.7%
206
 
2.5%
192
 
2.3%
187
 
2.3%
180
 
2.2%
153
 
1.9%
143
 
1.7%
141
 
1.7%
141
 
1.7%
Other values (394) 6116
74.6%
None
ValueCountFrequency (%)
· 25
100.0%
Punctuation
ValueCountFrequency (%)
5
100.0%

Interactions

2023-12-12T23:06:25.260239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:06:28.769074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.334
업종0.3341.000
2023-12-12T23:06:28.893227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.136
업종0.1361.000

Missing values

2023-12-12T23:06:25.412699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:06:25.543828image/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

연번조합명소재지업종품목정보
01산수2동호랑꼬두메협동조합광주광역시 동구 무등로 504-1 (산수동)협회 및 단체, 수리 및 기타 개인 서비스업지역공동체(마을) 활동 사업 등
12밋밋들협동조합광주광역시 남구 큰방림길 24, 보물찾기문구 (방림동)제조업공예품 생산 및 교육, 체험, 마을카페 등
23블루밍포레스트협동조합광주광역시 남구 봉선1로 87, 106동 1105호 (방림동, 모아아파트)제조업마을카페 운영을 위한 휴게음식점 등
34그린웍스협동조합광주광역시 서구 발산로 33-1 (양동)협회 및 단체, 수리 및 기타 개인 서비스업신재생에너지 사업 등
45신효천마을협동조합광주광역시 남구 신효천3길 8 (행암동)하수, 폐기물 처리, 원료재생 및 환경 복원업마을 태양광 발전사업
56무등산햇빛에너지협동조합광주광역시 서구 경열로17번길 9, 거송빌딩 7층 (농성동)하수, 폐기물 처리, 원료재생 및 환경 복원업시민햇빛발전소 구축 및 전력판매사업 등
67참신안이에스지협동조합광주광역시 북구 중흥로 62-1 (신안동)협회 및 단체, 수리 및 기타 개인 서비스업ESG 관련 사업 및 그 부대사업 일체
78본들래협동조합광주광역시 광산구 용진로 104 (명도동)도매 및 소매업농촌체험관광사업 , 로컬푸드 유통,가공 판매
89삼도블루스협동조합광주광역시 광산구 오운로 433-1 (도덕동)제조업지역 농산물 가공 판매사업
910리버마켓협동조합광주광역시 서구 천변좌로 238, 양동시장 309호 (양동)도매 및 소매업농수축산물 도소매업 및 식품접객업
연번조합명소재지업종품목정보
10321033생활문화지원센터협동조합광주광역시 동구 동명로67번길 30 (산수동)협회 및 단체, 수리 및 기타 개인 서비스업서비스
10331034행복빛고을협동조합광주광역시 광산구 임방울대로800번길 72 (월계동)도매 및 소매업식품배송
10341035그라운드지협동조합광주광역시 남구 중앙로 62, B1층 (서동,62)예술, 스포츠 및 여가관련 서비스업예술 공연
10351036두루누리협동조합광주광역시 광산구 신창로 112, 3층 301호 (신창동)도매 및 소매업지역특산품 및 우수인증제품
10361037광주사랑장애인협동조합광주광역시 남구 대남대로 312 (월산동)사업시설관리 및 사업지원 서비스업청소, 재활용품, 조경 등
10371038일촌차오름협동조합광주광역시 서구 상무대로1224번길 7 (양동)도매 및 소매업친환경 농산물, 식초, 광고 등
10381039태화협동조합광주광역시 북구 독립로 327 (중흥동)도매 및 소매업전통시장
10391040클린광산협동조합광주광역시 광산구 상무대로 521 (우산동)협회 및 단체, 수리 및 기타 개인 서비스업서비스
10401041청소박사협동조합광주광역시 서구 계수로51번길 6-1 (쌍촌동)협회 및 단체, 수리 및 기타 개인 서비스업서비스
10411042더불어락협동조합광주광역시 광산구 월곡반월로 66, 1층 (월곡동)숙박 및 음식점업음식점