Overview

Dataset statistics

Number of variables7
Number of observations25
Missing cells2
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory62.3 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description인천광역시북부교육지원청 평생교육시설 현황(연번, 시설구분, 시설명칭, 등록일, 설립자명, 주소, 연락처)등을 공개함
Author인천광역시교육청 인천광역시북부교육지원청
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15060547&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 연번High correlation
연락처 has 2 (8.0%) missing valuesMissing
연번 has unique valuesUnique
시설명칭 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:29:41.053102
Analysis finished2024-03-18 04:29:43.385108
Duration2.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-03-18T13:29:43.493837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-03-18T13:29:43.682335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

시설구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
언론기관부설평생교육시설
13 
지식.인력개발사업관련평생교육시설
원격평생교육시설
사업장부설평생교육시설
시민사회단체부설평생교육시설
 
1

Length

Max length17
Median length12
Mean length12.36
Min length8

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row사업장부설평생교육시설
2nd row사업장부설평생교육시설
3rd row시민사회단체부설평생교육시설
4th row언론기관부설평생교육시설
5th row언론기관부설평생교육시설

Common Values

ValueCountFrequency (%)
언론기관부설평생교육시설 13
52.0%
지식.인력개발사업관련평생교육시설 5
 
20.0%
원격평생교육시설 4
 
16.0%
사업장부설평생교육시설 2
 
8.0%
시민사회단체부설평생교육시설 1
 
4.0%

Length

2024-03-18T13:29:43.803699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:29:43.899949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
언론기관부설평생교육시설 13
52.0%
지식.인력개발사업관련평생교육시설 5
 
20.0%
원격평생교육시설 4
 
16.0%
사업장부설평생교육시설 2
 
8.0%
시민사회단체부설평생교육시설 1
 
4.0%

시설명칭
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-18T13:29:44.139724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length12
Min length6

Characters and Unicode

Total characters300
Distinct characters92
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row롯데마트문화센터부평점
2nd row롯데마트문화센터삼산점
3rd row한국열린평생교육원
4th rowJERI교육센터
5th row브레인평생교육원(휴원)
ValueCountFrequency (%)
롯데마트문화센터부평점 1
 
4.0%
에스바디워크필라테스삼산점평생교육원 1
 
4.0%
더필잎원격평생교육원(휴원 1
 
4.0%
한국창업부업아카데미원격평생교육원 1
 
4.0%
한국마케팅아카데미원격평생교육원 1
 
4.0%
에듀윌직업능력교육원부평센터 1
 
4.0%
이랜드mbc문화센터부평점 1
 
4.0%
원화평생교육원 1
 
4.0%
한국평생교육원(휴원 1
 
4.0%
21c교육원 1
 
4.0%
Other values (15) 15
60.0%
2024-03-18T13:29:44.487389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
9.3%
24
 
8.0%
23
 
7.7%
22
 
7.3%
19
 
6.3%
8
 
2.7%
7
 
2.3%
7
 
2.3%
6
 
2.0%
6
 
2.0%
Other values (82) 150
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
93.7%
Uppercase Letter 9
 
3.0%
Close Punctuation 4
 
1.3%
Open Punctuation 4
 
1.3%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
10.0%
24
 
8.5%
23
 
8.2%
22
 
7.8%
19
 
6.8%
8
 
2.8%
7
 
2.5%
7
 
2.5%
6
 
2.1%
6
 
2.1%
Other values (70) 131
46.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
J 1
11.1%
B 1
11.1%
M 1
11.1%
E 1
11.1%
S 1
11.1%
I 1
11.1%
R 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
93.7%
Common 10
 
3.3%
Latin 9
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
10.0%
24
 
8.5%
23
 
8.2%
22
 
7.8%
19
 
6.8%
8
 
2.8%
7
 
2.5%
7
 
2.5%
6
 
2.1%
6
 
2.1%
Other values (70) 131
46.6%
Latin
ValueCountFrequency (%)
C 2
22.2%
J 1
11.1%
B 1
11.1%
M 1
11.1%
E 1
11.1%
S 1
11.1%
I 1
11.1%
R 1
11.1%
Common
ValueCountFrequency (%)
) 4
40.0%
( 4
40.0%
1 1
 
10.0%
2 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
93.7%
ASCII 19
 
6.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
28
 
10.0%
24
 
8.5%
23
 
8.2%
22
 
7.8%
19
 
6.8%
8
 
2.8%
7
 
2.5%
7
 
2.5%
6
 
2.1%
6
 
2.1%
Other values (70) 131
46.6%
ASCII
ValueCountFrequency (%)
) 4
21.1%
( 4
21.1%
C 2
10.5%
J 1
 
5.3%
B 1
 
5.3%
M 1
 
5.3%
E 1
 
5.3%
1 1
 
5.3%
2 1
 
5.3%
S 1
 
5.3%
Other values (2) 2
10.5%
Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1998-09-16 00:00:00
Maximum2020-12-29 00:00:00
2024-03-18T13:29:44.606361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:29:44.710320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-18T13:29:44.873193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length5.88
Min length3

Characters and Unicode

Total characters147
Distinct characters91
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row롯데쇼핑㈜롯데마트
2nd row롯데쇼핑㈜롯데마트
3rd row사회단체대한교육복지문화협회
4th row김민석
5th row이창우
ValueCountFrequency (%)
롯데쇼핑㈜롯데마트 2
 
8.0%
사회단체대한교육복지문화협회 1
 
4.0%
재단법인자연재단 1
 
4.0%
㈜크리에이터스 1
 
4.0%
㈜브레인팩토리 1
 
4.0%
에듀윌 1
 
4.0%
㈜엠비씨아카데미 1
 
4.0%
재단법인원화 1
 
4.0%
권금숙 1
 
4.0%
장귀분 1
 
4.0%
Other values (14) 14
56.0%
2024-03-18T13:29:45.175449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
 
6.8%
6
 
4.1%
5
 
3.4%
4
 
2.7%
4
 
2.7%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (81) 101
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136
92.5%
Other Symbol 10
 
6.8%
Other Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
4.4%
5
 
3.7%
4
 
2.9%
4
 
2.9%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (79) 97
71.3%
Other Symbol
ValueCountFrequency (%)
10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 146
99.3%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
6.8%
6
 
4.1%
5
 
3.4%
4
 
2.7%
4
 
2.7%
4
 
2.7%
4
 
2.7%
3
 
2.1%
3
 
2.1%
3
 
2.1%
Other values (80) 100
68.5%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136
92.5%
None 10
 
6.8%
ASCII 1
 
0.7%

Most frequent character per block

None
ValueCountFrequency (%)
10
100.0%
Hangul
ValueCountFrequency (%)
6
 
4.4%
5
 
3.7%
4
 
2.9%
4
 
2.9%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (79) 97
71.3%
ASCII
ValueCountFrequency (%)
, 1
100.0%

주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-18T13:29:45.391122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length28.84
Min length17

Characters and Unicode

Total characters721
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row부평구마장로296,롯데마트2층(산곡동)
2nd row부평구길주로623,2층(삼산동)
3rd row인천광역시부평구동수북로172,3층,5층(부평동,진은빌딩)
4th row부평구일신로40번길35-9,3층(일신동)
5th row부평구체육관로20801호(삼산동,유림프라자)
ValueCountFrequency (%)
부평구마장로296,롯데마트2층(산곡동 1
 
4.0%
인천광역시부평구길주로659,903호(삼산동,미라쥬타워 1
 
4.0%
인천광역시부평구장제로175,9층일부(부평동 1
 
4.0%
인천광역시부평구부평대로293,1217호(청천동,,부평테크시티 1
 
4.0%
부평구부평대로301,1005호(청천동,남광센트렉스 1
 
4.0%
인천광역시부평구경원대로1366,504호(부평동,스테이션타워 1
 
4.0%
인천광역시부평구경원대로1277,418,419,423~429호(산곡동,2001아울렛부평점 1
 
4.0%
인천광역시부평구부평대로290,3층306호(갈산동,창신빌딩 1
 
4.0%
부평구부평대로55,9층(부평동,국천빌딩 1
 
4.0%
부평구부평문화로42,601호(부평동 1
 
4.0%
Other values (15) 15
60.0%
2024-03-18T13:29:45.739550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
 
6.9%
, 49
 
6.8%
46
 
6.4%
27
 
3.7%
1 27
 
3.7%
0 26
 
3.6%
25
 
3.5%
25
 
3.5%
) 24
 
3.3%
( 24
 
3.3%
Other values (91) 398
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
64.1%
Decimal Number 158
 
21.9%
Other Punctuation 49
 
6.8%
Close Punctuation 24
 
3.3%
Open Punctuation 24
 
3.3%
Math Symbol 2
 
0.3%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
50
 
10.8%
46
 
10.0%
27
 
5.8%
25
 
5.4%
25
 
5.4%
19
 
4.1%
18
 
3.9%
17
 
3.7%
16
 
3.5%
16
 
3.5%
Other values (76) 203
43.9%
Decimal Number
ValueCountFrequency (%)
1 27
17.1%
0 26
16.5%
2 18
11.4%
5 17
10.8%
3 17
10.8%
4 16
10.1%
6 14
8.9%
9 11
7.0%
7 9
 
5.7%
8 3
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 462
64.1%
Common 259
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
 
10.8%
46
 
10.0%
27
 
5.8%
25
 
5.4%
25
 
5.4%
19
 
4.1%
18
 
3.9%
17
 
3.7%
16
 
3.5%
16
 
3.5%
Other values (76) 203
43.9%
Common
ValueCountFrequency (%)
, 49
18.9%
1 27
10.4%
0 26
10.0%
) 24
9.3%
( 24
9.3%
2 18
 
6.9%
5 17
 
6.6%
3 17
 
6.6%
4 16
 
6.2%
6 14
 
5.4%
Other values (5) 27
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
64.1%
ASCII 259
35.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
50
 
10.8%
46
 
10.0%
27
 
5.8%
25
 
5.4%
25
 
5.4%
19
 
4.1%
18
 
3.9%
17
 
3.7%
16
 
3.5%
16
 
3.5%
Other values (76) 203
43.9%
ASCII
ValueCountFrequency (%)
, 49
18.9%
1 27
10.4%
0 26
10.0%
) 24
9.3%
( 24
9.3%
2 18
 
6.9%
5 17
 
6.6%
3 17
 
6.6%
4 16
 
6.2%
6 14
 
5.4%
Other values (5) 27
10.4%

연락처
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing2
Missing (%)8.0%
Memory size332.0 B
2024-03-18T13:29:45.924038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.3478261
Min length8

Characters and Unicode

Total characters215
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

Unique23 ?
Unique (%)100.0%

Sample

1st row509-2590
2nd row362-2500
3rd row032-546-6009
4th row528-0111
5th row330-6067
ValueCountFrequency (%)
509-2590 1
 
4.3%
522-9609 1
 
4.3%
362-2500 1
 
4.3%
070-4304-3770 1
 
4.3%
1644-8441 1
 
4.3%
032-262-0600 1
 
4.3%
02-2240-3850 1
 
4.3%
02-2633-5631 1
 
4.3%
517-4300 1
 
4.3%
515-9471 1
 
4.3%
Other values (13) 13
56.5%
2024-03-18T13:29:46.189895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40
18.6%
- 30
14.0%
5 23
10.7%
2 21
9.8%
3 19
8.8%
6 18
8.4%
4 17
7.9%
1 16
 
7.4%
9 12
 
5.6%
7 11
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 185
86.0%
Dash Punctuation 30
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
21.6%
5 23
12.4%
2 21
11.4%
3 19
10.3%
6 18
9.7%
4 17
9.2%
1 16
 
8.6%
9 12
 
6.5%
7 11
 
5.9%
8 8
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 215
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40
18.6%
- 30
14.0%
5 23
10.7%
2 21
9.8%
3 19
8.8%
6 18
8.4%
4 17
7.9%
1 16
 
7.4%
9 12
 
5.6%
7 11
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40
18.6%
- 30
14.0%
5 23
10.7%
2 21
9.8%
3 19
8.8%
6 18
8.4%
4 17
7.9%
1 16
 
7.4%
9 12
 
5.6%
7 11
 
5.1%

Interactions

2024-03-18T13:29:42.996655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:29:46.297101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분시설명칭등록일설립자명주소연락처
연번1.0000.9461.0000.9141.0001.0001.000
시설구분0.9461.0001.0000.8981.0001.0001.000
시설명칭1.0001.0001.0001.0001.0001.0001.000
등록일0.9140.8981.0001.0000.9871.0001.000
설립자명1.0001.0001.0000.9871.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
2024-03-18T13:29:46.389737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설구분
연번1.0000.584
시설구분0.5841.000

Missing values

2024-03-18T13:29:43.185667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:29:43.323478image/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

연번시설구분시설명칭등록일설립자명주소연락처
01사업장부설평생교육시설롯데마트문화센터부평점2006.12.28.롯데쇼핑㈜롯데마트부평구마장로296,롯데마트2층(산곡동)509-2590
12사업장부설평생교육시설롯데마트문화센터삼산점2007.12.21.롯데쇼핑㈜롯데마트부평구길주로623,2층(삼산동)362-2500
23시민사회단체부설평생교육시설한국열린평생교육원2020.11.6.사회단체대한교육복지문화협회인천광역시부평구동수북로172,3층,5층(부평동,진은빌딩)032-546-6009
34언론기관부설평생교육시설JERI교육센터2007.8.9.김민석부평구일신로40번길35-9,3층(일신동)528-0111
45언론기관부설평생교육시설브레인평생교육원(휴원)2012.12.7.이창우부평구체육관로20801호(삼산동,유림프라자)330-6067
56언론기관부설평생교육시설인천베스트평생교육원2013.3.13.㈜인천다문화일보부평구갈월서로6,(갈산동,대우빌딩)515-8803
67언론기관부설평생교육시설인컴트랜드평생교육원2015.7.15.㈜인컴트랜드부평구부평대로6,601호(부평동,대신스카이프라자)219-0800
78언론기관부설평생교육시설인천프로펫평생교육원2019.1.9.강민정인천광역시부평구경원대로1377번길15,4층일부,6층전체(부평동,문화빌딩)529-0079
89언론기관부설평생교육시설인천건설평생교육원2019.1.14.윤대영인천광역시부평구배곶남로21번길1,3층전체,2층일부(십정동)422-4111
910언론기관부설평생교육시설S바디워크필라테스(부평점)평생교육원2019.4.24.㈜에스바디워크필라테스인천광역시부평구경원대로1404,1001호(부평동,그랑프리빌딩)505-9609
연번시설구분시설명칭등록일설립자명주소연락처
1516언론기관부설평생교육시설언니네요가평생교육원2020.12.29.김도유인천광역시부평구부흥로264,504~505호(부평동,동아웰빙타운)032-502-6500
1617지식.인력개발사업관련평생교육시설21C교육원1998.9.16.장귀분부평구부평문화로42,601호(부평동)515-9471
1718지식.인력개발사업관련평생교육시설한국평생교육원(휴원)1998.9.19.권금숙부평구부평대로55,9층(부평동,국천빌딩)517-4300
1819지식.인력개발사업관련평생교육시설원화평생교육원2019.6.14.재단법인원화인천광역시부평구부평대로290,3층306호(갈산동,창신빌딩)02-2633-5631
1920지식.인력개발사업관련평생교육시설이랜드MBC문화센터부평점2020.06.02.㈜엠비씨아카데미인천광역시부평구경원대로1277,418,419,423~429호(산곡동,2001아울렛부평점)02-2240-3850
2021지식.인력개발사업관련평생교육시설에듀윌직업능력교육원부평센터2020.12.14.에듀윌인천광역시부평구경원대로1366,504호(부평동,스테이션타워)032-262-0600
2122원격평생교육시설한국마케팅아카데미원격평생교육원2014.4.16.㈜브레인팩토리부평구부평대로301,1005호(청천동,남광센트렉스)1644-8441
2223원격평생교육시설한국창업부업아카데미원격평생교육원2019.4.24.㈜크리에이터스인천광역시부평구부평대로293,1217호(청천동,,부평테크시티)070-4304-3770
2324원격평생교육시설더필잎원격평생교육원(휴원)2018.10.17.재단법인자연재단인천광역시부평구장제로175,9층일부(부평동)<NA>
2425원격평생교육시설박승화체육스포츠평생교육원2020.10.05.박승화인천광역시부평구광장로4번길11,7층(부평동,중보빌딩)070-4403-8355