Overview

Dataset statistics

Number of variables6
Number of observations131
Missing cells10
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory50.0 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description광주광역시 관내 평생교육기관 현황으로 연번, 구분, 기관명, 기관주소, 대표자, 대표전화 항목으로 나열되었습니다.
Author광주광역시교육청
URLhttps://www.data.go.kr/data/15113439/fileData.do

Alerts

대표전화 has 10 (7.6%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:03:44.194892
Analysis finished2023-12-12 10:03:45.208803
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T19:03:45.291291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.5
Q133.5
median66
Q398.5
95-th percentile124.5
Maximum131
Range130
Interquartile range (IQR)65

Descriptive statistics

Standard deviation37.960506
Coefficient of variation (CV)0.57515918
Kurtosis-1.2
Mean66
Median Absolute Deviation (MAD)33
Skewness0
Sum8646
Variance1441
MonotonicityStrictly increasing
2023-12-12T19:03:45.457035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
84 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%

구분(형태)
Categorical

Distinct12
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
언론기관부설
48 
원격형태
21 
지식.인력개발사업관련
14 
시민사회단체부설
12 
지식인력개발사업
11 
Other values (7)
25 

Length

Max length15
Median length13
Mean length6.8473282
Min length4

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st row학교형태의 학력미인정
2nd row학교형태의 학력미인정
3rd row학교형태의 학력미인정
4th row사업장부설
5th row사업장부설

Common Values

ValueCountFrequency (%)
언론기관부설 48
36.6%
원격형태 21
16.0%
지식.인력개발사업관련 14
 
10.7%
시민사회단체부설 12
 
9.2%
지식인력개발사업 11
 
8.4%
사업장부설 10
 
7.6%
원격평생교육시설 6
 
4.6%
학교형태의 학력미인정 4
 
3.1%
학교부설 2
 
1.5%
장애인평생교육시설 1
 
0.8%
Other values (2) 2
 
1.5%

Length

2023-12-12T19:03:45.609949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
언론기관부설 48
35.3%
원격형태 21
15.4%
지식.인력개발사업관련 14
 
10.3%
시민사회단체부설 12
 
8.8%
지식인력개발사업 11
 
8.1%
사업장부설 10
 
7.4%
원격평생교육시설 6
 
4.4%
학교형태의 4
 
2.9%
학력미인정 4
 
2.9%
학교부설 2
 
1.5%
Other values (4) 4
 
2.9%

기관명
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T19:03:45.850914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length11.458015
Min length7

Characters and Unicode

Total characters1501
Distinct characters241
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

Unique131 ?
Unique (%)100.0%

Sample

1st row실로암장애인평생교육원
2nd row디딤돌장애인야학
3rd row오늘이행복한학교
4th row롯데백화점광주점문화센터
5th row홈플러스문화센터동광주점
ValueCountFrequency (%)
평생교육원 13
 
8.1%
원격평생교육원 3
 
1.9%
몸이야필라테스 3
 
1.9%
광주평생교육원 3
 
1.9%
인재개발원 2
 
1.2%
실로암장애인평생교육원 1
 
0.6%
롯데마트맥스상무점문화센터 1
 
0.6%
드림원격평생교육원 1
 
0.6%
롯데마트문화센터 1
 
0.6%
첨단점 1
 
0.6%
Other values (132) 132
82.0%
2023-12-12T19:03:46.260524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 134
 
8.9%
교 116
 
7.7%
육 112
 
7.5%
생 102
 
6.8%
평 101
 
6.7%
이 36
 
2.4%
스 36
 
2.4%
점 30
 
2.0%
30
 
2.0%
테 23
 
1.5%
Other values (231) 781
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1403
93.5%
Uppercase Letter 36
 
2.4%
Space Separator 30
 
2.0%
Close Punctuation 9
 
0.6%
Open Punctuation 9
 
0.6%
Lowercase Letter 9
 
0.6%
Dash Punctuation 3
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 134
 
9.6%
교 116
 
8.3%
육 112
 
8.0%
생 102
 
7.3%
평 101
 
7.2%
이 36
 
2.6%
스 36
 
2.6%
점 30
 
2.1%
테 23
 
1.6%
라 22
 
1.6%
Other values (201) 691
49.3%
Uppercase Letter
ValueCountFrequency (%)
S 5
13.9%
K 4
11.1%
I 3
8.3%
F 3
8.3%
A 3
8.3%
C 3
8.3%
D 2
 
5.6%
T 2
 
5.6%
L 2
 
5.6%
O 2
 
5.6%
Other values (6) 7
19.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
p 1
11.1%
u 1
11.1%
z 1
11.1%
i 1
11.1%
b 1
11.1%
m 1
11.1%
a 1
11.1%
Decimal Number
ValueCountFrequency (%)
8 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1403
93.5%
Common 53
 
3.5%
Latin 45
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 134
 
9.6%
교 116
 
8.3%
육 112
 
8.0%
생 102
 
7.3%
평 101
 
7.2%
이 36
 
2.6%
스 36
 
2.6%
점 30
 
2.1%
테 23
 
1.6%
라 22
 
1.6%
Other values (201) 691
49.3%
Latin
ValueCountFrequency (%)
S 5
 
11.1%
K 4
 
8.9%
I 3
 
6.7%
F 3
 
6.7%
A 3
 
6.7%
C 3
 
6.7%
D 2
 
4.4%
T 2
 
4.4%
L 2
 
4.4%
e 2
 
4.4%
Other values (14) 16
35.6%
Common
ValueCountFrequency (%)
30
56.6%
) 9
 
17.0%
( 9
 
17.0%
- 3
 
5.7%
8 1
 
1.9%
0 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1403
93.5%
ASCII 98
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 134
 
9.6%
교 116
 
8.3%
육 112
 
8.0%
생 102
 
7.3%
평 101
 
7.2%
이 36
 
2.6%
스 36
 
2.6%
점 30
 
2.1%
테 23
 
1.6%
라 22
 
1.6%
Other values (201) 691
49.3%
ASCII
ValueCountFrequency (%)
30
30.6%
) 9
 
9.2%
( 9
 
9.2%
S 5
 
5.1%
K 4
 
4.1%
- 3
 
3.1%
I 3
 
3.1%
F 3
 
3.1%
A 3
 
3.1%
C 3
 
3.1%
Other values (20) 26
26.5%

기관주소
Text

Distinct123
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T19:03:46.629119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length46
Mean length25.045802
Min length14

Characters and Unicode

Total characters3281
Distinct characters184
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

Unique118 ?
Unique (%)90.1%

Sample

1st row남구 효덕로 201, 4층(행암동)
2nd row광산구 첨단중앙로 106번길 50, 4층(월계동)
3rd row동구 서석로 89, 3층(대의동)
4th row광주광역시 동구 독립로 268
5th row광주광역시 북구 동문대로 200
ValueCountFrequency (%)
광주광역시 128
 
17.3%
46
 
6.2%
북구 41
 
5.5%
서구 30
 
4.1%
동구 26
 
3.5%
광산구 25
 
3.4%
일부 13
 
1.8%
치평동 10
 
1.4%
4층 10
 
1.4%
남구 9
 
1.2%
Other values (281) 402
54.3%
2023-12-12T19:03:47.117418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
612
18.7%
광 287
 
8.7%
구 132
 
4.0%
주 132
 
4.0%
시 131
 
4.0%
역 129
 
3.9%
로 124
 
3.8%
동 97
 
3.0%
, 90
 
2.7%
1 80
 
2.4%
Other values (174) 1467
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1900
57.9%
Space Separator 612
 
18.7%
Decimal Number 523
 
15.9%
Other Punctuation 90
 
2.7%
Open Punctuation 64
 
2.0%
Close Punctuation 63
 
1.9%
Dash Punctuation 22
 
0.7%
Uppercase Letter 6
 
0.2%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 287
 
15.1%
구 132
 
6.9%
주 132
 
6.9%
시 131
 
6.9%
역 129
 
6.8%
로 124
 
6.5%
동 97
 
5.1%
층 47
 
2.5%
북 41
 
2.2%
서 40
 
2.1%
Other values (154) 740
38.9%
Decimal Number
ValueCountFrequency (%)
1 80
15.3%
2 72
13.8%
0 65
12.4%
3 56
10.7%
4 51
9.8%
5 45
8.6%
8 42
8.0%
7 41
7.8%
9 41
7.8%
6 30
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
33.3%
G 2
33.3%
D 1
16.7%
Y 1
16.7%
Space Separator
ValueCountFrequency (%)
612
100.0%
Other Punctuation
ValueCountFrequency (%)
, 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1900
57.9%
Common 1375
41.9%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 287
 
15.1%
구 132
 
6.9%
주 132
 
6.9%
시 131
 
6.9%
역 129
 
6.8%
로 124
 
6.5%
동 97
 
5.1%
층 47
 
2.5%
북 41
 
2.2%
서 40
 
2.1%
Other values (154) 740
38.9%
Common
ValueCountFrequency (%)
612
44.5%
, 90
 
6.5%
1 80
 
5.8%
2 72
 
5.2%
0 65
 
4.7%
( 64
 
4.7%
) 63
 
4.6%
3 56
 
4.1%
4 51
 
3.7%
5 45
 
3.3%
Other values (6) 177
 
12.9%
Latin
ValueCountFrequency (%)
L 2
33.3%
G 2
33.3%
D 1
16.7%
Y 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1900
57.9%
ASCII 1381
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
612
44.3%
, 90
 
6.5%
1 80
 
5.8%
2 72
 
5.2%
0 65
 
4.7%
( 64
 
4.6%
) 63
 
4.6%
3 56
 
4.1%
4 51
 
3.7%
5 45
 
3.3%
Other values (10) 183
 
13.3%
Hangul
ValueCountFrequency (%)
광 287
 
15.1%
구 132
 
6.9%
주 132
 
6.9%
시 131
 
6.9%
역 129
 
6.8%
로 124
 
6.5%
동 97
 
5.1%
층 47
 
2.5%
북 41
 
2.2%
서 40
 
2.1%
Other values (154) 740
38.9%

대표자
Text

Distinct120
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T19:03:47.381959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length8.3587786
Min length2

Characters and Unicode

Total characters1095
Distinct characters206
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

Unique112 ?
Unique (%)85.5%

Sample

1st row김*목
2nd row김*효
3rd row서*균
4th row롯데쇼핑주식회사
5th row홈플러스주식회사
ValueCountFrequency (%)
주식회사 25
 
14.4%
롯데쇼핑주식회사 5
 
2.9%
아이비에스컨설팅리더십센터 2
 
1.1%
주 2
 
1.1%
총장 2
 
1.1%
이*호 2
 
1.1%
강*구 2
 
1.1%
티엔글로벌 2
 
1.1%
아카데미평생교육원주식회사 2
 
1.1%
한국교육진흥원 2
 
1.1%
Other values (127) 128
73.6%
2023-12-12T19:03:47.813452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 62
 
5.7%
* 54
 
4.9%
주 54
 
4.9%
회 54
 
4.9%
43
 
3.9%
식 41
 
3.7%
원 31
 
2.8%
교 29
 
2.6%
국 26
 
2.4%
한 23
 
2.1%
Other values (196) 678
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 940
85.8%
Other Punctuation 55
 
5.0%
Space Separator 43
 
3.9%
Close Punctuation 18
 
1.6%
Open Punctuation 18
 
1.6%
Other Symbol 12
 
1.1%
Uppercase Letter 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 62
 
6.6%
주 54
 
5.7%
회 54
 
5.7%
식 41
 
4.4%
원 31
 
3.3%
교 29
 
3.1%
국 26
 
2.8%
한 23
 
2.4%
육 22
 
2.3%
이 18
 
1.9%
Other values (185) 580
61.7%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
C 2
22.2%
O 2
22.2%
M 1
 
11.1%
N 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 54
98.2%
, 1
 
1.8%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 952
86.9%
Common 134
 
12.2%
Latin 9
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 62
 
6.5%
주 54
 
5.7%
회 54
 
5.7%
식 41
 
4.3%
원 31
 
3.3%
교 29
 
3.0%
국 26
 
2.7%
한 23
 
2.4%
육 22
 
2.3%
이 18
 
1.9%
Other values (186) 592
62.2%
Common
ValueCountFrequency (%)
* 54
40.3%
43
32.1%
) 18
 
13.4%
( 18
 
13.4%
, 1
 
0.7%
Latin
ValueCountFrequency (%)
S 3
33.3%
C 2
22.2%
O 2
22.2%
M 1
 
11.1%
N 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 940
85.8%
ASCII 143
 
13.1%
None 12
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 62
 
6.6%
주 54
 
5.7%
회 54
 
5.7%
식 41
 
4.4%
원 31
 
3.3%
교 29
 
3.1%
국 26
 
2.8%
한 23
 
2.4%
육 22
 
2.3%
이 18
 
1.9%
Other values (185) 580
61.7%
ASCII
ValueCountFrequency (%)
* 54
37.8%
43
30.1%
) 18
 
12.6%
( 18
 
12.6%
S 3
 
2.1%
C 2
 
1.4%
O 2
 
1.4%
, 1
 
0.7%
M 1
 
0.7%
N 1
 
0.7%
None
ValueCountFrequency (%)
㈜ 12
100.0%

대표전화
Text

MISSING 

Distinct113
Distinct (%)93.4%
Missing10
Missing (%)7.6%
Memory size1.2 KiB
2023-12-12T19:03:48.119405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.85124
Min length8

Characters and Unicode

Total characters1434
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

Unique106 ?
Unique (%)87.6%

Sample

1st row062-672-7789
2nd row062-431-8025
3rd row062-233-3933
4th row062-221-1811
5th row062-250-8030
ValueCountFrequency (%)
062-225-9933 3
 
2.5%
062-383-2112 2
 
1.7%
062-232-2377 2
 
1.7%
062-521-3374 2
 
1.7%
062-366-5490 2
 
1.7%
062-233-3933 2
 
1.7%
062-223-0444 2
 
1.7%
062-710-0312 1
 
0.8%
062-226-2210 1
 
0.8%
062-951-7756 1
 
0.8%
Other values (103) 103
85.1%
2023-12-12T19:03:48.583739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 251
17.5%
- 236
16.5%
0 216
15.1%
6 179
12.5%
3 117
8.2%
5 99
 
6.9%
1 87
 
6.1%
7 81
 
5.6%
9 60
 
4.2%
8 57
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1198
83.5%
Dash Punctuation 236
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 251
21.0%
0 216
18.0%
6 179
14.9%
3 117
9.8%
5 99
 
8.3%
1 87
 
7.3%
7 81
 
6.8%
9 60
 
5.0%
8 57
 
4.8%
4 51
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1434
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 251
17.5%
- 236
16.5%
0 216
15.1%
6 179
12.5%
3 117
8.2%
5 99
 
6.9%
1 87
 
6.1%
7 81
 
5.6%
9 60
 
4.2%
8 57
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1434
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 251
17.5%
- 236
16.5%
0 216
15.1%
6 179
12.5%
3 117
8.2%
5 99
 
6.9%
1 87
 
6.1%
7 81
 
5.6%
9 60
 
4.2%
8 57
 
4.0%

Interactions

2023-12-12T19:03:44.928428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:03:48.810902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분(형태)
연번1.0000.562
구분(형태)0.5621.000
2023-12-12T19:03:48.923845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분(형태)
연번1.0000.288
구분(형태)0.2881.000

Missing values

2023-12-12T19:03:45.058151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:03:45.166389image/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

연번구분(형태)기관명기관주소대표자대표전화
01학교형태의 학력미인정실로암장애인평생교육원남구 효덕로 201, 4층(행암동)김*목062-672-7789
12학교형태의 학력미인정디딤돌장애인야학광산구 첨단중앙로 106번길 50, 4층(월계동)김*효062-431-8025
23학교형태의 학력미인정오늘이행복한학교동구 서석로 89, 3층(대의동)서*균062-233-3933
34사업장부설롯데백화점광주점문화센터광주광역시 동구 독립로 268롯데쇼핑주식회사062-221-1811
45사업장부설홈플러스문화센터동광주점광주광역시 북구 동문대로 200홈플러스주식회사062-250-8030
56지식인력개발사업아카데미평생교육원광주광역시 북구 무등로 238아카데미평생교육원주식회사062-522-1216
67지식인력개발사업한국예술종합교육원광주광역시 동구 서석로 89한국예술종합학교교육원주식회사062-223-0444
78원격형태서석대평생교육원광주광역시 동구 예술길 15번길 2최*채062-222-6253
89원격형태이엔케이원격평생교육원광주광역시 동구 참판로 27주식회사한국교육원1544-1127
910시민사회단체부설광주평생교육원광주광역시 북구 군왕로 121사단법인월드복음선교협의회062-522-3366
연번구분(형태)기관명기관주소대표자대표전화
121122언론기관부설몸이야필라테스하남점평생교육원광주광역시 광산구 사암로 214이*연062-952-8033
122123언론기관부설보니따필라테스 광주첨단점 평생교육원광주광역시 광산구 월계로 173백*진062-971-1116
123124언론기관부설몸이야필라테스 진월점 평생교육원광주광역시 남구 서문대로 700최*지062-716-3221
124125지식.인력개발사업관련드림잡스쿨 평생교육원광주광역시 광산구 남동길 11-19주식회사 드림잡스쿨062-513-7113
125126언론기관부설제로핏평생교육원광주광역시 서구 시청로 13강*진062-375-2212
126127언론기관부설대한문신사중앙회평생교육원광주광역시 서구 상무대로 948주식회사 대한문신사중앙회인재개발원062-381-9002
127128언론기관부설이끌림필라테스효천점 평생교육원광주광역시 남구 효천2로가길 5최*창062-671-8650
128129원격평생교육시설에스케이씨이러닝교육원광주광역시 서구 상무중앙로 70㈜올댓강사062-232-2377
129130원격평생교육시설한국예술교육원광주광역시 광산구 임방울대로 727-6, 203호 (월계동, 기산아파트)최*형062-1688-4148
130131원격평생교육시설케이에스 원격평생교육원광주광역시 광산구 하남산단4번로 65, 401호 (장덕동)주식회사 케이에스산업안전협회062-383-0083