Overview

Dataset statistics

Number of variables5
Number of observations52
Missing cells3
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory42.5 B

Variable types

Text5

Dataset

Description대전광역시 중소기업 지원관련기관의 기관명, 주소, 전화번호, 주요업무, 홈페이지의 현황이 파일에 업로드되어 있습니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15073491/fileData.do

Alerts

전화번호 has 2 (3.8%) missing valuesMissing
홈페이지 has 1 (1.9%) missing valuesMissing
기관명 has unique valuesUnique
주요업무 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:39:05.848133
Analysis finished2023-12-12 23:39:06.943496
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T08:39:07.109383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16.5
Mean length10.692308
Min length5

Characters and Unicode

Total characters556
Distinct characters113
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

Unique52 ?
Unique (%)100.0%

Sample

1st row대전광역시 (기업창업지원과)
2nd row대전경제통상진흥원
3rd row대전테크노파크
4th row대전신용보증재단
5th row대전정보문화산업진흥원
ValueCountFrequency (%)
대전세종충남지역본부 2
 
3.1%
대전세종충남연합회 2
 
3.1%
대전광역시 1
 
1.5%
한국경영혁신중소기업협회 1
 
1.5%
대전세종충남지회 1
 
1.5%
한국경영기술지도사회 1
 
1.5%
한국장애경제인협회 1
 
1.5%
한국엔젤투자협회 1
 
1.5%
한국벤처캐피탈협회 1
 
1.5%
벤처기업협회 1
 
1.5%
Other values (53) 53
81.5%
2023-12-13T08:39:07.450173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 27
 
4.9%
기 25
 
4.5%
회 24
 
4.3%
대 21
 
3.8%
한 19
 
3.4%
국 19
 
3.4%
전 18
 
3.2%
소 15
 
2.7%
원 14
 
2.5%
협 13
 
2.3%
Other values (103) 361
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
93.5%
Space Separator 13
 
2.3%
Open Punctuation 7
 
1.3%
Close Punctuation 7
 
1.3%
Uppercase Letter 5
 
0.9%
Other Symbol 2
 
0.4%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 27
 
5.2%
기 25
 
4.8%
회 24
 
4.6%
대 21
 
4.0%
한 19
 
3.7%
국 19
 
3.7%
전 18
 
3.5%
소 15
 
2.9%
원 14
 
2.7%
협 13
 
2.5%
Other values (93) 325
62.5%
Uppercase Letter
ValueCountFrequency (%)
N 1
20.0%
K 1
20.0%
S 1
20.0%
B 1
20.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 522
93.9%
Common 29
 
5.2%
Latin 5
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 27
 
5.2%
기 25
 
4.8%
회 24
 
4.6%
대 21
 
4.0%
한 19
 
3.6%
국 19
 
3.6%
전 18
 
3.4%
소 15
 
2.9%
원 14
 
2.7%
협 13
 
2.5%
Other values (94) 327
62.6%
Latin
ValueCountFrequency (%)
N 1
20.0%
K 1
20.0%
S 1
20.0%
B 1
20.0%
C 1
20.0%
Common
ValueCountFrequency (%)
13
44.8%
( 7
24.1%
) 7
24.1%
· 2
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
93.5%
ASCII 32
 
5.8%
None 4
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 27
 
5.2%
기 25
 
4.8%
회 24
 
4.6%
대 21
 
4.0%
한 19
 
3.7%
국 19
 
3.7%
전 18
 
3.5%
소 15
 
2.9%
원 14
 
2.7%
협 13
 
2.5%
Other values (93) 325
62.5%
ASCII
ValueCountFrequency (%)
13
40.6%
( 7
21.9%
) 7
21.9%
N 1
 
3.1%
K 1
 
3.1%
S 1
 
3.1%
B 1
 
3.1%
C 1
 
3.1%
None
ValueCountFrequency (%)
㈜ 2
50.0%
· 2
50.0%

주소
Text

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T08:39:07.730162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length30
Mean length23.384615
Min length13

Characters and Unicode

Total characters1216
Distinct characters157
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

Unique48 ?
Unique (%)92.3%

Sample

1st row대전 서구 둔산로 100
2nd row대전 유성구 가정북로 96
3rd row대전 유성구 테크노9로 35
4th row대전 중구 보문로 246 대림빌딩 5층
5th row대전 유성구 대덕대로512번길 20
ValueCountFrequency (%)
대전 29
 
10.5%
서구 13
 
4.7%
유성구 13
 
4.7%
서울 12
 
4.3%
서울특별시 9
 
3.3%
청사로 7
 
2.5%
2층 5
 
1.8%
가정북로 5
 
1.8%
136 5
 
1.8%
104 4
 
1.4%
Other values (134) 174
63.0%
2023-12-13T08:39:08.169017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
 
18.6%
대 59
 
4.9%
구 56
 
4.6%
로 53
 
4.4%
1 45
 
3.7%
서 44
 
3.6%
전 39
 
3.2%
2 33
 
2.7%
층 24
 
2.0%
3 23
 
1.9%
Other values (147) 614
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 738
60.7%
Space Separator 226
 
18.6%
Decimal Number 219
 
18.0%
Uppercase Letter 11
 
0.9%
Other Punctuation 9
 
0.7%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Math Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 59
 
8.0%
구 56
 
7.6%
로 53
 
7.2%
서 44
 
6.0%
전 39
 
5.3%
층 24
 
3.3%
울 21
 
2.8%
길 14
 
1.9%
성 14
 
1.9%
동 13
 
1.8%
Other values (125) 401
54.3%
Decimal Number
ValueCountFrequency (%)
1 45
20.5%
2 33
15.1%
3 23
10.5%
5 22
10.0%
6 18
 
8.2%
9 18
 
8.2%
0 18
 
8.2%
4 16
 
7.3%
7 16
 
7.3%
8 10
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
R 3
27.3%
V 3
27.3%
T 2
18.2%
C 1
 
9.1%
D 1
 
9.1%
I 1
 
9.1%
Space Separator
ValueCountFrequency (%)
226
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 738
60.7%
Common 467
38.4%
Latin 11
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 59
 
8.0%
구 56
 
7.6%
로 53
 
7.2%
서 44
 
6.0%
전 39
 
5.3%
층 24
 
3.3%
울 21
 
2.8%
길 14
 
1.9%
성 14
 
1.9%
동 13
 
1.8%
Other values (125) 401
54.3%
Common
ValueCountFrequency (%)
226
48.4%
1 45
 
9.6%
2 33
 
7.1%
3 23
 
4.9%
5 22
 
4.7%
6 18
 
3.9%
9 18
 
3.9%
0 18
 
3.9%
4 16
 
3.4%
7 16
 
3.4%
Other values (6) 32
 
6.9%
Latin
ValueCountFrequency (%)
R 3
27.3%
V 3
27.3%
T 2
18.2%
C 1
 
9.1%
D 1
 
9.1%
I 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 738
60.7%
ASCII 478
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
47.3%
1 45
 
9.4%
2 33
 
6.9%
3 23
 
4.8%
5 22
 
4.6%
6 18
 
3.8%
9 18
 
3.8%
0 18
 
3.8%
4 16
 
3.3%
7 16
 
3.3%
Other values (12) 43
 
9.0%
Hangul
ValueCountFrequency (%)
대 59
 
8.0%
구 56
 
7.6%
로 53
 
7.2%
서 44
 
6.0%
전 39
 
5.3%
층 24
 
3.3%
울 21
 
2.8%
길 14
 
1.9%
성 14
 
1.9%
동 13
 
1.8%
Other values (125) 401
54.3%

전화번호
Text

MISSING 

Distinct49
Distinct (%)98.0%
Missing2
Missing (%)3.8%
Memory size548.0 B
2023-12-13T08:39:08.418474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.48
Min length4

Characters and Unicode

Total characters574
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

Unique48 ?
Unique (%)96.0%

Sample

1st row042-270-3702
2nd row042-380-3000
3rd row042-930-2880
4th row042-380-3802
5th row042-479-4114
ValueCountFrequency (%)
1357 2
 
4.0%
02-2026-3737 1
 
2.0%
042-270-3702 1
 
2.0%
042-476-7722 1
 
2.0%
02-569-8121 1
 
2.0%
02-6339-6711 1
 
2.0%
02-2156-2100 1
 
2.0%
02-6331-7101 1
 
2.0%
1670-6009 1
 
2.0%
02-1522-0500 1
 
2.0%
Other values (39) 39
78.0%
2023-12-13T08:39:08.763044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 122
21.3%
- 93
16.2%
2 79
13.8%
4 45
 
7.8%
6 45
 
7.8%
1 41
 
7.1%
8 40
 
7.0%
3 34
 
5.9%
7 27
 
4.7%
5 26
 
4.5%
Other values (2) 22
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 478
83.3%
Dash Punctuation 93
 
16.2%
Space Separator 3
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 122
25.5%
2 79
16.5%
4 45
 
9.4%
6 45
 
9.4%
1 41
 
8.6%
8 40
 
8.4%
3 34
 
7.1%
7 27
 
5.6%
5 26
 
5.4%
9 19
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 574
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 122
21.3%
- 93
16.2%
2 79
13.8%
4 45
 
7.8%
6 45
 
7.8%
1 41
 
7.1%
8 40
 
7.0%
3 34
 
5.9%
7 27
 
4.7%
5 26
 
4.5%
Other values (2) 22
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 122
21.3%
- 93
16.2%
2 79
13.8%
4 45
 
7.8%
6 45
 
7.8%
1 41
 
7.1%
8 40
 
7.0%
3 34
 
5.9%
7 27
 
4.7%
5 26
 
4.5%
Other values (2) 22
 
3.8%

주요업무
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T08:39:09.100477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length20.192308
Min length9

Characters and Unicode

Total characters1050
Distinct characters192
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row대전시 기업지원 정책 종합
2nd row창업, 일자리, 자금, 서민경제, 통상 지원
3rd row기술기반 기업 마케팅, 기술, 장비, 교육 지원
4th row기업·소상공인 신용보증, 소상공인 컨설팅, 교육
5th rowIT, SW, 콘텐츠, 영상사업 지원
ValueCountFrequency (%)
지원 14
 
6.2%
교육 10
 
4.4%
컨설팅 6
 
2.7%
등 5
 
2.2%
인증 4
 
1.8%
중소기업 4
 
1.8%
인력 3
 
1.3%
판로지원 3
 
1.3%
기술 3
 
1.3%
판로 2
 
0.9%
Other values (156) 171
76.0%
2023-12-13T08:39:09.523427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
173
 
16.5%
, 82
 
7.8%
업 47
 
4.5%
기 42
 
4.0%
지 36
 
3.4%
원 35
 
3.3%
인 22
 
2.1%
사 18
 
1.7%
육 16
 
1.5%
소 15
 
1.4%
Other values (182) 564
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 772
73.5%
Space Separator 173
 
16.5%
Other Punctuation 88
 
8.4%
Uppercase Letter 13
 
1.2%
Open Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Lowercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 47
 
6.1%
기 42
 
5.4%
지 36
 
4.7%
원 35
 
4.5%
인 22
 
2.8%
사 18
 
2.3%
육 16
 
2.1%
소 15
 
1.9%
교 15
 
1.9%
증 13
 
1.7%
Other values (165) 513
66.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
23.1%
T 2
15.4%
I 2
15.4%
K 1
 
7.7%
W 1
 
7.7%
V 1
 
7.7%
R 1
 
7.7%
D 1
 
7.7%
O 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 82
93.2%
· 5
 
5.7%
& 1
 
1.1%
Space Separator
ValueCountFrequency (%)
173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 772
73.5%
Common 264
 
25.1%
Latin 14
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 47
 
6.1%
기 42
 
5.4%
지 36
 
4.7%
원 35
 
4.5%
인 22
 
2.8%
사 18
 
2.3%
육 16
 
2.1%
소 15
 
1.9%
교 15
 
1.9%
증 13
 
1.7%
Other values (165) 513
66.5%
Latin
ValueCountFrequency (%)
S 3
21.4%
T 2
14.3%
I 2
14.3%
K 1
 
7.1%
W 1
 
7.1%
e 1
 
7.1%
V 1
 
7.1%
R 1
 
7.1%
D 1
 
7.1%
O 1
 
7.1%
Common
ValueCountFrequency (%)
173
65.5%
, 82
31.1%
· 5
 
1.9%
( 1
 
0.4%
- 1
 
0.4%
& 1
 
0.4%
) 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 772
73.5%
ASCII 273
 
26.0%
None 5
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
63.4%
, 82
30.0%
S 3
 
1.1%
T 2
 
0.7%
I 2
 
0.7%
K 1
 
0.4%
( 1
 
0.4%
W 1
 
0.4%
- 1
 
0.4%
e 1
 
0.4%
Other values (6) 6
 
2.2%
Hangul
ValueCountFrequency (%)
업 47
 
6.1%
기 42
 
5.4%
지 36
 
4.7%
원 35
 
4.5%
인 22
 
2.8%
사 18
 
2.3%
육 16
 
2.1%
소 15
 
1.9%
교 15
 
1.9%
증 13
 
1.7%
Other values (165) 513
66.5%
None
ValueCountFrequency (%)
· 5
100.0%

홈페이지
Text

MISSING 

Distinct51
Distinct (%)100.0%
Missing1
Missing (%)1.9%
Memory size548.0 B
2023-12-13T08:39:09.761665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length15.137255
Min length10

Characters and Unicode

Total characters772
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st rowwww.daejeon.go.kr
2nd rowwww.djba.or.kr
3rd rowwww.djtp.or.kr
4th rowsinbo.or.kr.4447
5th rowwww.dicia.or.kr
ValueCountFrequency (%)
www.daejeon.go.kr 1
 
2.0%
www.2up.or.kr 1
 
2.0%
www.innobiz.or.kr 1
 
2.0%
www.kmtca.or.kr 1
 
2.0%
www.kdea.or.kr 1
 
2.0%
www.kban.or.kr 1
 
2.0%
www.kvca.or.kr 1
 
2.0%
www.venture.or.kr 1
 
2.0%
www.ksa.or.kr 1
 
2.0%
www.kfme.or.kr 1
 
2.0%
Other values (41) 41
80.4%
2023-12-13T08:39:10.202062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 147
19.0%
w 137
17.7%
r 101
13.1%
k 73
9.5%
o 63
8.2%
i 32
 
4.1%
e 28
 
3.6%
a 23
 
3.0%
c 22
 
2.8%
n 18
 
2.3%
Other values (19) 128
16.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 618
80.1%
Other Punctuation 147
 
19.0%
Decimal Number 5
 
0.6%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 137
22.2%
r 101
16.3%
k 73
11.8%
o 63
10.2%
i 32
 
5.2%
e 28
 
4.5%
a 23
 
3.7%
c 22
 
3.6%
n 18
 
2.9%
s 18
 
2.9%
Other values (14) 103
16.7%
Decimal Number
ValueCountFrequency (%)
4 3
60.0%
7 1
 
20.0%
2 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
. 147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 618
80.1%
Common 154
 
19.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 137
22.2%
r 101
16.3%
k 73
11.8%
o 63
10.2%
i 32
 
5.2%
e 28
 
4.5%
a 23
 
3.7%
c 22
 
3.6%
n 18
 
2.9%
s 18
 
2.9%
Other values (14) 103
16.7%
Common
ValueCountFrequency (%)
. 147
95.5%
4 3
 
1.9%
- 2
 
1.3%
7 1
 
0.6%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 772
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 147
19.0%
w 137
17.7%
r 101
13.1%
k 73
9.5%
o 63
8.2%
i 32
 
4.1%
e 28
 
3.6%
a 23
 
3.0%
c 22
 
2.8%
n 18
 
2.3%
Other values (19) 128
16.6%

Correlations

2023-12-13T08:39:10.330122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명주소전화번호주요업무홈페이지
기관명1.0001.0001.0001.0001.000
주소1.0001.0000.9891.0001.000
전화번호1.0000.9891.0001.0001.000
주요업무1.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.000

Missing values

2023-12-13T08:39:06.726911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:39:06.816694image/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.
2023-12-13T08:39:06.894943image/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

기관명주소전화번호주요업무홈페이지
0대전광역시 (기업창업지원과)대전 서구 둔산로 100042-270-3702대전시 기업지원 정책 종합www.daejeon.go.kr
1대전경제통상진흥원대전 유성구 가정북로 96042-380-3000창업, 일자리, 자금, 서민경제, 통상 지원www.djba.or.kr
2대전테크노파크대전 유성구 테크노9로 35042-930-2880기술기반 기업 마케팅, 기술, 장비, 교육 지원www.djtp.or.kr
3대전신용보증재단대전 중구 보문로 246 대림빌딩 5층042-380-3802기업·소상공인 신용보증, 소상공인 컨설팅, 교육sinbo.or.kr.4447
4대전정보문화산업진흥원대전 유성구 대덕대로512번길 20042-479-4114IT, SW, 콘텐츠, 영상사업 지원www.dicia.or.kr
5대전창조경제혁신센터대전 유성구 대학로 291042-385-0666창업지원, 시설장비 지원, 혁신프로그램ccei.creativekorea.or.kr
6대전상공회의소대전 서구 대덕대로176번길 51042-480-3114중소벤처기업 지원, 무역증명발급, 경제동향daejeoncci.korcharm.net
7대전산업단지관리공단대전 대덕구 대화로 77042-623-0580대전산단 업체 및 기반시설 관리, 공동사업www.djic.or.kr
8대덕산업단지관리공단대전 대덕구 대덕대로 1397042-931-6363대덕산단 입주업체를 위한 공동·지원사업www.dicox.or.kr
9중소벤처기업부대전 서구 청사로 189 정부대전청사1357중소·벤처기업 정책 기획·종합www.mss.go.kr
기관명주소전화번호주요업무홈페이지
42대전세종충남 여성벤처협회대전 유성구 가정북로 104042-862-6538회원사 역량강화, 창업생태계 활성화사업womanventure.blog.me
43(재)여성기업종합 지원센터대전 유성구 테크노2로 187<NA>각종 정보, 교육, 훈련, 연수www.wesc.or.kr
44(재)한국청년기업가정신재단서울 서초구 서초대로45길 16 VR빌딩 202호02-2156-2280기업가정신의 사업기획, 개발 운영www.koef.or.kr
45동반성장위원회서울 구로구 디지털로32길 29 키콕스벤처센터 12층02-368-8400대중소기업간 사회적 갈등문제 발굴winwingrowth.or.kr
46(사)NK경제인연합회서울특별시 송파구 중대로9길 39 이레빌딩 2층02-853-9995탈북경제인들의 육성, 경제활동 지원사업fnki.or.kr
47대·중소기업·농어업협력재단서울 구로구 디지털로32길 29 키콕스벤처센터 8층02-368-8792기술, 인력, 판로 등 협력사업www.win-win.or.kr
48한국창업보육협회대전 서구 청사로 136 대전무역회관 11층042-346-9600기술창업기업 보육, 역량강화사업www.kobia.or.kr
49한국중소기업학회서울특별시 영등포구 은행로 30 (여의도동) 중소기업회관 10층02-785-2450중소기업 연구용역www.kasbs.or.kr
50한국생산성본부서울 종로구 새문안로5가길 3202-724-1114생산성연구조사, 교육훈련, 컨설팅www.kpc.or.kr
51중소기업통합콜센터대전 서구 청사로 136 대전무역회관 15층1357중소기업지원정책안내(창업, 정책자금, 판로수출 등 정부지원사업 상담)<NA>