Overview

Dataset statistics

Number of variables6
Number of observations192
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory49.7 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description광주광역시에서 활동하는 시민 운동 단체의 현황 정보 공공데이터입니다. 단체명, 사업명, 대표자 등의 자료를 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15043911/fileData.do

Alerts

연번 is highly overall correlated with 부서명High correlation
부서명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
단체명 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:04:50.112636
Analysis finished2023-12-12 21:04:50.897061
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.5
Minimum1
Maximum192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T06:04:50.964590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.55
Q148.75
median96.5
Q3144.25
95-th percentile182.45
Maximum192
Range191
Interquartile range (IQR)95.5

Descriptive statistics

Standard deviation55.569776
Coefficient of variation (CV)0.5758526
Kurtosis-1.2
Mean96.5
Median Absolute Deviation (MAD)48
Skewness0
Sum18528
Variance3088
MonotonicityStrictly increasing
2023-12-13T06:04:51.115558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
98 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
Other values (182) 182
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%

단체명
Text

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T06:04:51.364920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length11.005208
Min length2

Characters and Unicode

Total characters2113
Distinct characters288
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)100.0%

Sample

1st row광주전남민주언론시민연합
2nd row(사)광주광역시장애인정보화협회
3rd row통일세대를 위한 교육기관 6.15학교
4th row유니버설 문화원
5th row유네스코광주·전남협회
ValueCountFrequency (%)
사단법인 10
 
4.0%
광주광역시지회 6
 
2.4%
광주광역시 2
 
0.8%
기념사업회 2
 
0.8%
광주전남본부 2
 
0.8%
광주광역시연합회 2
 
0.8%
광주본부 2
 
0.8%
빛고을전통문화예술단 1
 
0.4%
사)아시아문화예술협회 1
 
0.4%
명인명창 1
 
0.4%
Other values (219) 219
88.3%
2023-12-13T06:04:51.694749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 116
 
5.5%
회 103
 
4.9%
사 99
 
4.7%
주 94
 
4.4%
57
 
2.7%
) 52
 
2.5%
인 49
 
2.3%
( 47
 
2.2%
협 46
 
2.2%
시 43
 
2.0%
Other values (278) 1407
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1924
91.1%
Space Separator 57
 
2.7%
Close Punctuation 52
 
2.5%
Open Punctuation 47
 
2.2%
Decimal Number 17
 
0.8%
Other Punctuation 9
 
0.4%
Uppercase Letter 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 116
 
6.0%
회 103
 
5.4%
사 99
 
5.1%
주 94
 
4.9%
인 49
 
2.5%
협 46
 
2.4%
시 43
 
2.2%
단 40
 
2.1%
지 37
 
1.9%
연 36
 
1.9%
Other values (259) 1261
65.5%
Decimal Number
ValueCountFrequency (%)
1 6
35.3%
9 4
23.5%
4 4
23.5%
6 1
 
5.9%
5 1
 
5.9%
2 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
I 1
14.3%
G 1
14.3%
D 1
14.3%
R 1
14.3%
B 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
55.6%
· 2
 
22.2%
, 1
 
11.1%
‧ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1924
91.1%
Common 182
 
8.6%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 116
 
6.0%
회 103
 
5.4%
사 99
 
5.1%
주 94
 
4.9%
인 49
 
2.5%
협 46
 
2.4%
시 43
 
2.2%
단 40
 
2.1%
지 37
 
1.9%
연 36
 
1.9%
Other values (259) 1261
65.5%
Common
ValueCountFrequency (%)
57
31.3%
) 52
28.6%
( 47
25.8%
1 6
 
3.3%
. 5
 
2.7%
9 4
 
2.2%
4 4
 
2.2%
· 2
 
1.1%
, 1
 
0.5%
6 1
 
0.5%
Other values (3) 3
 
1.6%
Latin
ValueCountFrequency (%)
S 2
28.6%
I 1
14.3%
G 1
14.3%
D 1
14.3%
R 1
14.3%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1924
91.1%
ASCII 186
 
8.8%
None 2
 
0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 116
 
6.0%
회 103
 
5.4%
사 99
 
5.1%
주 94
 
4.9%
인 49
 
2.5%
협 46
 
2.4%
시 43
 
2.2%
단 40
 
2.1%
지 37
 
1.9%
연 36
 
1.9%
Other values (259) 1261
65.5%
ASCII
ValueCountFrequency (%)
57
30.6%
) 52
28.0%
( 47
25.3%
1 6
 
3.2%
. 5
 
2.7%
9 4
 
2.2%
4 4
 
2.2%
S 2
 
1.1%
, 1
 
0.5%
I 1
 
0.5%
Other values (7) 7
 
3.8%
None
ValueCountFrequency (%)
· 2
100.0%
Punctuation
ValueCountFrequency (%)
‧ 1
100.0%

사업명
Text

Distinct191
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T06:04:51.939545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34.5
Mean length20.119792
Min length7

Characters and Unicode

Total characters3863
Distinct characters452
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)99.0%

Sample

1st row2023 광주전남 시민청소년 언론학교
2nd row장애인한마음의날
3rd row광주광역시 대학생 평화통일 서포터즈 '통일상상'
4th row다어울림문화교류
5th row지구촌가족 친선 교류 행사
ValueCountFrequency (%)
및 24
 
2.8%
위한 24
 
2.8%
함께하는 11
 
1.3%
2023 10
 
1.2%
광주 10
 
1.2%
찾아가는 8
 
0.9%
함께 6
 
0.7%
한마당 6
 
0.7%
통한 6
 
0.7%
캠페인 5
 
0.6%
Other values (641) 739
87.0%
2023-12-13T06:04:52.393112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
666
 
17.2%
한 60
 
1.6%
사 58
 
1.5%
회 53
 
1.4%
주 52
 
1.3%
인 48
 
1.2%
화 46
 
1.2%
교 41
 
1.1%
이 40
 
1.0%
는 40
 
1.0%
Other values (442) 2759
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2946
76.3%
Space Separator 666
 
17.2%
Decimal Number 113
 
2.9%
Other Punctuation 73
 
1.9%
Close Punctuation 16
 
0.4%
Open Punctuation 16
 
0.4%
Lowercase Letter 12
 
0.3%
Uppercase Letter 11
 
0.3%
Math Symbol 5
 
0.1%
Dash Punctuation 3
 
0.1%
Other values (2) 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 60
 
2.0%
사 58
 
2.0%
회 53
 
1.8%
주 52
 
1.8%
인 48
 
1.6%
화 46
 
1.6%
교 41
 
1.4%
이 40
 
1.4%
는 40
 
1.4%
전 39
 
1.3%
Other values (396) 2469
83.8%
Decimal Number
ValueCountFrequency (%)
2 32
28.3%
3 19
16.8%
0 16
14.2%
1 15
13.3%
5 11
 
9.7%
4 9
 
8.0%
9 4
 
3.5%
8 4
 
3.5%
6 2
 
1.8%
7 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
' 18
24.7%
! 15
20.5%
, 12
16.4%
" 10
13.7%
. 10
13.7%
: 3
 
4.1%
· 2
 
2.7%
‧ 2
 
2.7%
& 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
18.2%
P 2
18.2%
D 2
18.2%
K 1
9.1%
O 1
9.1%
Z 1
9.1%
M 1
9.1%
I 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
o 3
25.0%
u 2
16.7%
p 2
16.7%
g 2
16.7%
z 1
 
8.3%
e 1
 
8.3%
r 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 11
68.8%
」 4
 
25.0%
] 1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 11
68.8%
「 4
 
25.0%
[ 1
 
6.2%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
+ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
666
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2944
76.2%
Common 894
 
23.1%
Latin 23
 
0.6%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 60
 
2.0%
사 58
 
2.0%
회 53
 
1.8%
주 52
 
1.8%
인 48
 
1.6%
화 46
 
1.6%
교 41
 
1.4%
이 40
 
1.4%
는 40
 
1.4%
전 39
 
1.3%
Other values (394) 2467
83.8%
Common
ValueCountFrequency (%)
666
74.5%
2 32
 
3.6%
3 19
 
2.1%
' 18
 
2.0%
0 16
 
1.8%
1 15
 
1.7%
! 15
 
1.7%
, 12
 
1.3%
) 11
 
1.2%
( 11
 
1.2%
Other values (21) 79
 
8.8%
Latin
ValueCountFrequency (%)
o 3
13.0%
u 2
 
8.7%
p 2
 
8.7%
S 2
 
8.7%
g 2
 
8.7%
P 2
 
8.7%
D 2
 
8.7%
K 1
 
4.3%
O 1
 
4.3%
Z 1
 
4.3%
Other values (5) 5
21.7%
Han
ValueCountFrequency (%)
魅 1
50.0%
義 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2944
76.2%
ASCII 903
 
23.4%
None 10
 
0.3%
Punctuation 4
 
0.1%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
666
73.8%
2 32
 
3.5%
3 19
 
2.1%
' 18
 
2.0%
0 16
 
1.8%
1 15
 
1.7%
! 15
 
1.7%
, 12
 
1.3%
) 11
 
1.2%
( 11
 
1.2%
Other values (30) 88
 
9.7%
Hangul
ValueCountFrequency (%)
한 60
 
2.0%
사 58
 
2.0%
회 53
 
1.8%
주 52
 
1.8%
인 48
 
1.6%
화 46
 
1.6%
교 41
 
1.4%
이 40
 
1.4%
는 40
 
1.4%
전 39
 
1.3%
Other values (394) 2467
83.8%
None
ValueCountFrequency (%)
」 4
40.0%
「 4
40.0%
· 2
20.0%
Punctuation
ValueCountFrequency (%)
‧ 2
50.0%
“ 1
25.0%
” 1
25.0%
CJK
ValueCountFrequency (%)
魅 1
50.0%
義 1
50.0%

대표자
Text

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T06:04:52.814062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.0729167
Min length2

Characters and Unicode

Total characters590
Distinct characters143
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

Unique192 ?
Unique (%)100.0%

Sample

1st row박선희
2nd row맹미숙
3rd row이채언
4th row바수무쿨
5th row윤길
ValueCountFrequency (%)
박선희 1
 
0.5%
신은정 1
 
0.5%
박형철 1
 
0.5%
최영종 1
 
0.5%
이미옥 1
 
0.5%
김재섭 1
 
0.5%
김해진 1
 
0.5%
임유애 1
 
0.5%
박흥일 1
 
0.5%
박덕주 1
 
0.5%
Other values (185) 185
94.9%
2023-12-13T06:04:53.339637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 47
 
8.0%
박 25
 
4.2%
정 23
 
3.9%
영 21
 
3.6%
이 17
 
2.9%
유 10
 
1.7%
윤 9
 
1.5%
성 9
 
1.5%
수 9
 
1.5%
희 9
 
1.5%
Other values (133) 411
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 583
98.8%
Space Separator 3
 
0.5%
Other Punctuation 3
 
0.5%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 47
 
8.1%
박 25
 
4.3%
정 23
 
3.9%
영 21
 
3.6%
이 17
 
2.9%
유 10
 
1.7%
윤 9
 
1.5%
성 9
 
1.5%
수 9
 
1.5%
희 9
 
1.5%
Other values (130) 404
69.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 583
98.8%
Common 7
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 47
 
8.1%
박 25
 
4.3%
정 23
 
3.9%
영 21
 
3.6%
이 17
 
2.9%
유 10
 
1.7%
윤 9
 
1.5%
성 9
 
1.5%
수 9
 
1.5%
희 9
 
1.5%
Other values (130) 404
69.3%
Common
ValueCountFrequency (%)
3
42.9%
, 3
42.9%
3 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 583
98.8%
ASCII 7
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 47
 
8.1%
박 25
 
4.3%
정 23
 
3.9%
영 21
 
3.6%
이 17
 
2.9%
유 10
 
1.7%
윤 9
 
1.5%
성 9
 
1.5%
수 9
 
1.5%
희 9
 
1.5%
Other values (130) 404
69.3%
ASCII
ValueCountFrequency (%)
3
42.9%
, 3
42.9%
3 1
 
14.3%

부서명
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
문화도시정책관
64 
장애인복지과
24 
국제평화협력과
11 
자치행정과
8 
시민소통과
8 
Other values (28)
77 

Length

Max length7
Median length6.5
Mean length6.1354167
Min length3

Unique

Unique11 ?
Unique (%)5.7%

Sample

1st row대변인
2nd row정보화담당관
3rd row국제평화협력과
4th row국제평화협력과
5th row국제평화협력과

Common Values

ValueCountFrequency (%)
문화도시정책관 64
33.3%
장애인복지과 24
 
12.5%
국제평화협력과 11
 
5.7%
자치행정과 8
 
4.2%
시민소통과 8
 
4.2%
여성가족과 8
 
4.2%
기후환경정책과 6
 
3.1%
고령사회정책과 6
 
3.1%
아동청소년과 5
 
2.6%
체육진흥과 5
 
2.6%
Other values (23) 47
24.5%

Length

2023-12-13T06:04:53.519377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
문화도시정책관 64
33.3%
장애인복지과 24
 
12.5%
국제평화협력과 11
 
5.7%
자치행정과 8
 
4.2%
시민소통과 8
 
4.2%
여성가족과 8
 
4.2%
기후환경정책과 6
 
3.1%
고령사회정책과 6
 
3.1%
아동청소년과 5
 
2.6%
체육진흥과 5
 
2.6%
Other values (23) 47
24.5%

담당자
Text

Distinct56
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T06:04:53.754175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0260417
Min length2

Characters and Unicode

Total characters581
Distinct characters75
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)12.5%

Sample

1st row김종규
2nd row한진영
3rd row윤영진
4th row강소명
5th row강소명
ValueCountFrequency (%)
권은영 24
 
12.5%
윤주영 21
 
10.9%
서수현 10
 
5.2%
장기혜 9
 
4.7%
안형원 8
 
4.2%
김유림 7
 
3.6%
김경진 7
 
3.6%
방수진 6
 
3.1%
윤영진 6
 
3.1%
양미숙 6
 
3.1%
Other values (46) 88
45.8%
2023-12-13T06:04:54.462747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 56
 
9.6%
윤 38
 
6.5%
김 35
 
6.0%
은 29
 
5.0%
진 27
 
4.6%
권 25
 
4.3%
주 25
 
4.3%
수 20
 
3.4%
형 17
 
2.9%
정 16
 
2.8%
Other values (65) 293
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 571
98.3%
Space Separator 10
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 56
 
9.8%
윤 38
 
6.7%
김 35
 
6.1%
은 29
 
5.1%
진 27
 
4.7%
권 25
 
4.4%
주 25
 
4.4%
수 20
 
3.5%
형 17
 
3.0%
정 16
 
2.8%
Other values (64) 283
49.6%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 571
98.3%
Common 10
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 56
 
9.8%
윤 38
 
6.7%
김 35
 
6.1%
은 29
 
5.1%
진 27
 
4.7%
권 25
 
4.4%
주 25
 
4.4%
수 20
 
3.5%
형 17
 
3.0%
정 16
 
2.8%
Other values (64) 283
49.6%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 571
98.3%
ASCII 10
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 56
 
9.8%
윤 38
 
6.7%
김 35
 
6.1%
은 29
 
5.1%
진 27
 
4.7%
권 25
 
4.4%
주 25
 
4.4%
수 20
 
3.5%
형 17
 
3.0%
정 16
 
2.8%
Other values (64) 283
49.6%
ASCII
ValueCountFrequency (%)
10
100.0%

Interactions

2023-12-13T06:04:50.597158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:04:54.579388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부서명담당자
연번1.0000.9460.980
부서명0.9461.0001.000
담당자0.9801.0001.000
2023-12-13T06:04:54.662497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부서명
연번1.0000.677
부서명0.6771.000

Missing values

2023-12-13T06:04:50.747397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:04:50.859259image/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

연번단체명사업명대표자부서명담당자
01광주전남민주언론시민연합2023 광주전남 시민청소년 언론학교박선희대변인김종규
12(사)광주광역시장애인정보화협회장애인한마음의날맹미숙정보화담당관한진영
23통일세대를 위한 교육기관 6.15학교광주광역시 대학생 평화통일 서포터즈 '통일상상'이채언국제평화협력과윤영진
34유니버설 문화원다어울림문화교류바수무쿨국제평화협력과강소명
45유네스코광주·전남협회지구촌가족 친선 교류 행사윤길국제평화협력과강소명
56광주평화통일교육센터2023 제주역사기행-[광주-제주 통일로 통하다]오창훈국제평화협력과윤영진
67한국글로벌피스재단 광주본부"하나된꿈 하나의코리아" 시민소통 통일아카데미조병석국제평화협력과윤영진
78통일을실천하는사람들 광주전남본부시민학생 통일서포터즈 양성 및 8.15 통일축제한마당김선정국제평화협력과윤영진
89(사)민족통일광주광역시협의회통일.민족시 낭송회김상덕국제평화협력과윤영진
910광주하나문화교류센터제4회 사랑의 김장나눔 한마당 행사박수련국제평화협력과정정아
연번단체명사업명대표자부서명담당자
182183(사)광주북구장애인복지회중증장애인 가족기능회복을 위한 테마여행 휠체어는 사랑을 싣고류문현장애인복지과권은영
183184(사)광주장애인재활협회장애체험과 인권아카데미 우리두리나종만장애인복지과권은영
184185(사)광주시각장애인연합회2023 빛고을 시각장애인의 에이블아트최삼기장애인복지과권은영
185186(사)광주남구장애인협회김장철 김치나눔김균호장애인복지과권은영
186187(사)어둠속의빛사회적협동조합무지개빛 장애인공연단 나눔음악회김갑주장애인복지과권은영
187188광주지적발달장애인복지협회북구지부발달장애인들의 신나는 요리프로그램이애란장애인복지과권은영
188189열린케어장애인자립생활센터중증장애인들의 자립지원을 위한 조향사 아카데미김랑장애인복지과권은영
189190광주생명의전화우리모두 함께하는 생명존중이상복건강정책과윤수림
190191(사)세계건강생활진흥연맹찾아가는 응급처치(심폐소생술) 및 자동심장충격기 사용법 교육 지원조안순감염병관리과최준호
191192(사)생명나눔실천 광주전남본부함께해요. 생명나눔!이형한감염병관리과이선