Overview

Dataset statistics

Number of variables7
Number of observations240
Missing cells24
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory57.5 B

Variable types

Categorical2
Text4
Numeric1

Dataset

Description광주광역시 기타 시민사회 단체(5.18관련, 4.19관련, 경제노동분야, 농업축산분야, 재난안전분야, 문화예술분야, 사회복지분야, 기타분야) 현황에 대한 정보로 단체명, 대표자, 회원수, 소재지도로명주소, 전화번호 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15043910/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
회원(명) has 12 (5.0%) missing valuesMissing
전화번호 has 12 (5.0%) missing valuesMissing
단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:54:49.737288
Analysis finished2023-12-11 22:54:51.002955
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분야별
Categorical

Distinct8
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
문화예술분야
89 
사회복지분야
72 
기타분야
21 
4.19 관련
14 
경제.노동분야
14 
Other values (3)
30 

Length

Max length7
Median length6
Mean length6.0291667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.18 관련
2nd row5.18 관련
3rd row5.18 관련
4th row5.18 관련
5th row5.18 관련

Common Values

ValueCountFrequency (%)
문화예술분야 89
37.1%
사회복지분야 72
30.0%
기타분야 21
 
8.8%
4.19 관련 14
 
5.8%
경제.노동분야 14
 
5.8%
5.18 관련 12
 
5.0%
농업.축산분야 9
 
3.8%
재난안전분야 9
 
3.8%

Length

2023-12-12T07:54:51.072289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:54:51.180674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화예술분야 89
33.5%
사회복지분야 72
27.1%
관련 26
 
9.8%
기타분야 21
 
7.9%
4.19 14
 
5.3%
경제.노동분야 14
 
5.3%
5.18 12
 
4.5%
농업.축산분야 9
 
3.4%
재난안전분야 9
 
3.4%

단체명
Text

UNIQUE 

Distinct240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T07:54:51.450235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length11.420833
Min length3

Characters and Unicode

Total characters2741
Distinct characters303
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)100.0%

Sample

1st row(재)5.18기념재단
2nd row(사)5.18구속부상자회
3rd row(사)5.18민주화운동부상자회
4th row(사)5.18민주유공자유족회
5th row(사)오월 어머니집
ValueCountFrequency (%)
광주광역시지회 8
 
2.7%
광주광역시지부 7
 
2.3%
사)대한노인회 6
 
2.0%
광주광역시연합회 3
 
1.0%
광주지부 3
 
1.0%
기념사업회 2
 
0.7%
총연합회 2
 
0.7%
4.19 2
 
0.7%
연합회 2
 
0.7%
사)월광노인복지회 1
 
0.3%
Other values (265) 265
88.0%
2023-12-12T07:54:51.887374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 175
 
6.4%
사 170
 
6.2%
광 153
 
5.6%
) 123
 
4.5%
( 121
 
4.4%
주 119
 
4.3%
지 67
 
2.4%
65
 
2.4%
시 56
 
2.0%
한 53
 
1.9%
Other values (293) 1639
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2358
86.0%
Close Punctuation 123
 
4.5%
Open Punctuation 121
 
4.4%
Space Separator 65
 
2.4%
Decimal Number 52
 
1.9%
Other Punctuation 16
 
0.6%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 175
 
7.4%
사 170
 
7.2%
광 153
 
6.5%
주 119
 
5.0%
지 67
 
2.8%
시 56
 
2.4%
한 53
 
2.2%
연 51
 
2.2%
국 45
 
1.9%
역 41
 
1.7%
Other values (275) 1428
60.6%
Decimal Number
ValueCountFrequency (%)
1 16
30.8%
4 10
19.2%
9 9
17.3%
5 7
13.5%
8 5
 
9.6%
6 2
 
3.8%
2 2
 
3.8%
3 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
N 2
33.3%
O 1
16.7%
G 1
16.7%
P 1
16.7%
E 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 15
93.8%
· 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 121
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2358
86.0%
Common 377
 
13.8%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 175
 
7.4%
사 170
 
7.2%
광 153
 
6.5%
주 119
 
5.0%
지 67
 
2.8%
시 56
 
2.4%
한 53
 
2.2%
연 51
 
2.2%
국 45
 
1.9%
역 41
 
1.7%
Other values (275) 1428
60.6%
Common
ValueCountFrequency (%)
) 123
32.6%
( 121
32.1%
65
17.2%
1 16
 
4.2%
. 15
 
4.0%
4 10
 
2.7%
9 9
 
2.4%
5 7
 
1.9%
8 5
 
1.3%
6 2
 
0.5%
Other values (3) 4
 
1.1%
Latin
ValueCountFrequency (%)
N 2
33.3%
O 1
16.7%
G 1
16.7%
P 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2358
86.0%
ASCII 382
 
13.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 175
 
7.4%
사 170
 
7.2%
광 153
 
6.5%
주 119
 
5.0%
지 67
 
2.8%
시 56
 
2.4%
한 53
 
2.2%
연 51
 
2.2%
국 45
 
1.9%
역 41
 
1.7%
Other values (275) 1428
60.6%
ASCII
ValueCountFrequency (%)
) 123
32.2%
( 121
31.7%
65
17.0%
1 16
 
4.2%
. 15
 
3.9%
4 10
 
2.6%
9 9
 
2.4%
5 7
 
1.8%
8 5
 
1.3%
6 2
 
0.5%
Other values (7) 9
 
2.4%
None
ValueCountFrequency (%)
· 1
100.0%

대표자
Text

Distinct229
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T07:54:52.223028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0666667
Min length2

Characters and Unicode

Total characters736
Distinct characters149
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

Unique220 ?
Unique (%)91.7%

Sample

1st row이철우
2nd row문홍식
3rd row김이종
4th row김영훈
5th row이명자
ValueCountFrequency (%)
김영용 4
 
1.6%
외 3
 
1.2%
조상열 2
 
0.8%
김점수 2
 
0.8%
황옥화 2
 
0.8%
유방희 2
 
0.8%
이명자 2
 
0.8%
김중채 2
 
0.8%
임원식 2
 
0.8%
1 2
 
0.8%
Other values (225) 227
90.8%
2023-12-12T07:54:52.691819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 55
 
7.5%
이 32
 
4.3%
정 26
 
3.5%
박 22
 
3.0%
영 21
 
2.9%
종 14
 
1.9%
오 14
 
1.9%
숙 14
 
1.9%
상 13
 
1.8%
수 13
 
1.8%
Other values (139) 512
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 721
98.0%
Space Separator 11
 
1.5%
Decimal Number 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 55
 
7.6%
이 32
 
4.4%
정 26
 
3.6%
박 22
 
3.1%
영 21
 
2.9%
종 14
 
1.9%
오 14
 
1.9%
숙 14
 
1.9%
상 13
 
1.8%
수 13
 
1.8%
Other values (136) 497
68.9%
Decimal Number
ValueCountFrequency (%)
1 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 721
98.0%
Common 15
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 55
 
7.6%
이 32
 
4.4%
정 26
 
3.6%
박 22
 
3.1%
영 21
 
2.9%
종 14
 
1.9%
오 14
 
1.9%
숙 14
 
1.9%
상 13
 
1.8%
수 13
 
1.8%
Other values (136) 497
68.9%
Common
ValueCountFrequency (%)
11
73.3%
1 3
 
20.0%
2 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 721
98.0%
ASCII 15
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 55
 
7.6%
이 32
 
4.4%
정 26
 
3.6%
박 22
 
3.1%
영 21
 
2.9%
종 14
 
1.9%
오 14
 
1.9%
숙 14
 
1.9%
상 13
 
1.8%
수 13
 
1.8%
Other values (136) 497
68.9%
ASCII
ValueCountFrequency (%)
11
73.3%
1 3
 
20.0%
2 1
 
6.7%

회원(명)
Real number (ℝ)

MISSING 

Distinct161
Distinct (%)70.6%
Missing12
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean7478.3026
Minimum9
Maximum710000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T07:54:52.852948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile20.35
Q1100
median152.5
Q3700
95-th percentile12008.9
Maximum710000
Range709991
Interquartile range (IQR)600

Descriptive statistics

Standard deviation52914.909
Coefficient of variation (CV)7.0757913
Kurtosis142.73343
Mean7478.3026
Median Absolute Deviation (MAD)121.5
Skewness11.363904
Sum1705053
Variance2.7999876 × 109
MonotonicityNot monotonic
2023-12-12T07:54:53.006353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 10
 
4.2%
105 6
 
2.5%
120 4
 
1.7%
200 4
 
1.7%
500 4
 
1.7%
124 3
 
1.2%
110 3
 
1.2%
23 3
 
1.2%
20 3
 
1.2%
1000 3
 
1.2%
Other values (151) 185
77.1%
(Missing) 12
 
5.0%
ValueCountFrequency (%)
9 1
 
0.4%
10 1
 
0.4%
15 2
0.8%
17 1
 
0.4%
18 1
 
0.4%
19 3
1.2%
20 3
1.2%
21 2
0.8%
23 3
1.2%
25 2
0.8%
ValueCountFrequency (%)
710000 1
0.4%
313000 1
0.4%
120000 1
0.4%
110000 1
0.4%
100000 1
0.4%
75600 1
0.4%
48310 1
0.4%
15851 1
0.4%
14831 1
0.4%
14713 1
0.4%

소재지도로명주소
Text

Distinct224
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T07:54:53.417955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length23.583333
Min length16

Characters and Unicode

Total characters5660
Distinct characters181
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)89.2%

Sample

1st row광주광역시 서구 내방로 152(쌍촌동)
2nd row광주광역시 서구 내방로 152(쌍촌동)
3rd row광주광역시 서구 내방로 152(쌍촌동)
4th row광주광역시 서구 내방로 152(쌍촌동)
5th row광주광역시 남구 천변좌로 418번길 18(양림동)
ValueCountFrequency (%)
광주광역시 240
21.9%
서구 68
 
6.2%
동구 59
 
5.4%
북구 51
 
4.6%
남구 41
 
3.7%
광산구 21
 
1.9%
무등로 10
 
0.9%
2층 9
 
0.8%
중앙로 8
 
0.7%
3층 8
 
0.7%
Other values (444) 583
53.1%
2023-12-12T07:54:53.910598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
868
 
15.3%
광 510
 
9.0%
동 257
 
4.5%
구 251
 
4.4%
주 248
 
4.4%
시 243
 
4.3%
역 241
 
4.3%
로 233
 
4.1%
1 201
 
3.6%
( 179
 
3.2%
Other values (171) 2429
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3410
60.2%
Decimal Number 921
 
16.3%
Space Separator 868
 
15.3%
Open Punctuation 179
 
3.2%
Close Punctuation 179
 
3.2%
Other Punctuation 51
 
0.9%
Dash Punctuation 48
 
0.8%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 510
15.0%
동 257
 
7.5%
구 251
 
7.4%
주 248
 
7.3%
시 243
 
7.1%
역 241
 
7.1%
로 233
 
6.8%
길 95
 
2.8%
서 91
 
2.7%
번 87
 
2.6%
Other values (151) 1154
33.8%
Decimal Number
ValueCountFrequency (%)
1 201
21.8%
2 155
16.8%
3 117
12.7%
0 83
9.0%
5 74
 
8.0%
8 72
 
7.8%
7 60
 
6.5%
9 58
 
6.3%
4 51
 
5.5%
6 50
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
Y 1
25.0%
W 1
25.0%
A 1
25.0%
C 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 49
96.1%
. 2
 
3.9%
Space Separator
ValueCountFrequency (%)
868
100.0%
Open Punctuation
ValueCountFrequency (%)
( 179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3410
60.2%
Common 2246
39.7%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 510
15.0%
동 257
 
7.5%
구 251
 
7.4%
주 248
 
7.3%
시 243
 
7.1%
역 241
 
7.1%
로 233
 
6.8%
길 95
 
2.8%
서 91
 
2.7%
번 87
 
2.6%
Other values (151) 1154
33.8%
Common
ValueCountFrequency (%)
868
38.6%
1 201
 
8.9%
( 179
 
8.0%
) 179
 
8.0%
2 155
 
6.9%
3 117
 
5.2%
0 83
 
3.7%
5 74
 
3.3%
8 72
 
3.2%
7 60
 
2.7%
Other values (6) 258
 
11.5%
Latin
ValueCountFrequency (%)
Y 1
25.0%
W 1
25.0%
A 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3410
60.2%
ASCII 2250
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
868
38.6%
1 201
 
8.9%
( 179
 
8.0%
) 179
 
8.0%
2 155
 
6.9%
3 117
 
5.2%
0 83
 
3.7%
5 74
 
3.3%
8 72
 
3.2%
7 60
 
2.7%
Other values (10) 262
 
11.6%
Hangul
ValueCountFrequency (%)
광 510
15.0%
동 257
 
7.5%
구 251
 
7.4%
주 248
 
7.3%
시 243
 
7.1%
역 241
 
7.1%
로 233
 
6.8%
길 95
 
2.8%
서 91
 
2.7%
번 87
 
2.6%
Other values (151) 1154
33.8%

전화번호
Text

MISSING 

Distinct220
Distinct (%)96.5%
Missing12
Missing (%)5.0%
Memory size2.0 KiB
2023-12-12T07:54:54.134585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.188596
Min length10

Characters and Unicode

Total characters2779
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)94.3%

Sample

1st row062-360-0518
2nd row062-383-5181
3rd row062-383-1518
4th row062-383-5180
5th row062-227-0518
ValueCountFrequency (%)
062-234-0419 5
 
2.2%
062-461-1500 2
 
0.9%
062-524-0085 2
 
0.9%
062-227-0811 2
 
0.9%
062-352-1080 2
 
0.9%
062-512-6075 1
 
0.4%
062-944-5681 1
 
0.4%
062-223-8948 1
 
0.4%
062-351-5070 1
 
0.4%
062-942-0002 1
 
0.4%
Other values (210) 210
92.1%
2023-12-12T07:54:54.492480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 483
17.4%
- 455
16.4%
0 406
14.6%
6 370
13.3%
3 189
 
6.8%
5 177
 
6.4%
1 167
 
6.0%
7 143
 
5.1%
4 140
 
5.0%
8 111
 
4.0%
Other values (2) 138
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2279
82.0%
Dash Punctuation 455
 
16.4%
Space Separator 45
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 483
21.2%
0 406
17.8%
6 370
16.2%
3 189
 
8.3%
5 177
 
7.8%
1 167
 
7.3%
7 143
 
6.3%
4 140
 
6.1%
8 111
 
4.9%
9 93
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 455
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2779
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 483
17.4%
- 455
16.4%
0 406
14.6%
6 370
13.3%
3 189
 
6.8%
5 177
 
6.4%
1 167
 
6.0%
7 143
 
5.1%
4 140
 
5.0%
8 111
 
4.0%
Other values (2) 138
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2779
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 483
17.4%
- 455
16.4%
0 406
14.6%
6 370
13.3%
3 189
 
6.8%
5 177
 
6.4%
1 167
 
6.0%
7 143
 
5.1%
4 140
 
5.0%
8 111
 
4.0%
Other values (2) 138
 
5.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2021-09-16
240 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-16
2nd row2021-09-16
3rd row2021-09-16
4th row2021-09-16
5th row2021-09-16

Common Values

ValueCountFrequency (%)
2021-09-16 240
100.0%

Length

2023-12-12T07:54:54.627471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:54:54.704698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-16 240
100.0%

Interactions

2023-12-12T07:54:50.178092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:54:54.755919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야별회원(명)
분야별1.0000.190
회원(명)0.1901.000
2023-12-12T07:54:54.844658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회원(명)분야별
회원(명)1.0000.085
분야별0.0851.000

Missing values

2023-12-12T07:54:50.670389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:54:50.818904image/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.
2023-12-12T07:54:50.932162image/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

분야별단체명대표자회원(명)소재지도로명주소전화번호데이터기준일자
05.18 관련(재)5.18기념재단이철우<NA>광주광역시 서구 내방로 152(쌍촌동)062-360-05182021-09-16
15.18 관련(사)5.18구속부상자회문홍식3180광주광역시 서구 내방로 152(쌍촌동)062-383-51812021-09-16
25.18 관련(사)5.18민주화운동부상자회김이종1580광주광역시 서구 내방로 152(쌍촌동)062-383-15182021-09-16
35.18 관련(사)5.18민주유공자유족회김영훈890광주광역시 서구 내방로 152(쌍촌동)062-383-51802021-09-16
45.18 관련(사)오월 어머니집이명자105광주광역시 남구 천변좌로 418번길 18(양림동)062-227-05182021-09-16
55.18 관련(사)들불열사기념사업회임낙평340광주광역시 동구 필문대로205번길 10-1(지산동)062-512-05272021-09-16
65.18 관련(사)윤상원기념사업회이태복170광주광역시 동구 예술길 15번길 10-1, 4층062-234-12342021-09-16
75.18 관련(사)합수윤한봉기념사업회김은경310광주광역시 동구 필문대로 205번길 10-1062-514-05282021-09-16
85.18 관련(사)518민중항쟁구속자회김호동151광주광역시 서구 내방로 9, 2층(치평동)062-384-05272021-09-16
95.18 관련(사)일암명노근기념사업회안성례17광주광역시 동구 동명로 7-4062-228-35632021-09-16
분야별단체명대표자회원(명)소재지도로명주소전화번호데이터기준일자
230기타분야(사)광주아파트입주자 대표회의 총연합회기회정11641광주광역시 북구 서암대로 291(우산동, 안보회관)062-526-03202021-09-16
231기타분야(사)호남녹색건축연구원김흥식28광주광역시 서구 시청로96번길 12, 310호(치평동, 골든빌)062-383-09252021-09-16
232기타분야나무심는건축인신정철137광주광역시 서구 시청로96번길 12, 310호(치평동)062-373-31312021-09-16
233기타분야광주자동차산업산학연협의회신재봉32광주광역시 광산구 진곡산단 중앙로55 104-1호062-960-95322021-09-16
234기타분야(사)광주자동차애프터마켓협의회유진열19광주광역시 광산구 진곡산단5번로 11(진곡동)062-973-81852021-09-16
235기타분야(사)광주광역시드론협회임경노60광주광역시 남구 군분로 27, 1동 2층 202호<NA>2021-09-16
236기타분야(재)한국마이크로의료로봇연구원박종오53광주광역시 북구 첨단과기로208번길 43-26062-530-52512021-09-16
237기타분야(사)광주화장품산업진흥회전일승51광주광역시 북구 첨단과기로208번길 50062-973-85412021-09-16
238기타분야(사)광주권의료관광협의회최범채23광주광역시 서구 상무누리로 30, 2층062-714-34302021-09-16
239기타분야(재)광주기독교청년회류한호3370광주광역시 동구 금남로 246062-232-61312021-09-16