Overview

Dataset statistics

Number of variables8
Number of observations114
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory67.1 B

Variable types

Categorical1
Numeric1
Text4
DateTime2

Dataset

Description광주광역시 명품강소기업에 대한 데이터로 명품강소기업 지정기수, 기업명, 대표자, 주소, 지정기간 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15117839/fileData.do

Alerts

기업명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:03:20.667701
Analysis finished2024-03-14 17:03:22.297984
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기수
Categorical

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
12
35 
10
24 
8
19 
11
19 
9
17 

Length

Max length2
Median length2
Mean length1.6842105
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8
2nd row8
3rd row8
4th row8
5th row8

Common Values

ValueCountFrequency (%)
12 35
30.7%
10 24
21.1%
8 19
16.7%
11 19
16.7%
9 17
14.9%

Length

2024-03-15T02:03:22.517190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:03:22.859147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12 35
30.7%
10 24
21.1%
8 19
16.7%
11 19
16.7%
9 17
14.9%

번호
Real number (ℝ)

Distinct35
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.833333
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-15T02:03:23.216404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median12
Q317.75
95-th percentile29.35
Maximum35
Range34
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation8.2868022
Coefficient of variation (CV)0.64572485
Kurtosis-0.059311882
Mean12.833333
Median Absolute Deviation (MAD)6
Skewness0.67758965
Sum1463
Variance68.671091
MonotonicityNot monotonic
2024-03-15T02:03:23.635157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 5
 
4.4%
10 5
 
4.4%
16 5
 
4.4%
15 5
 
4.4%
14 5
 
4.4%
13 5
 
4.4%
12 5
 
4.4%
11 5
 
4.4%
9 5
 
4.4%
2 5
 
4.4%
Other values (25) 64
56.1%
ValueCountFrequency (%)
1 5
4.4%
2 5
4.4%
3 5
4.4%
4 5
4.4%
5 5
4.4%
6 5
4.4%
7 5
4.4%
8 5
4.4%
9 5
4.4%
10 5
4.4%
ValueCountFrequency (%)
35 1
0.9%
34 1
0.9%
33 1
0.9%
32 1
0.9%
31 1
0.9%
30 1
0.9%
29 1
0.9%
28 1
0.9%
27 1
0.9%
26 1
0.9%

기업명
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T02:03:24.483369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.4824561
Min length3

Characters and Unicode

Total characters739
Distinct characters159
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row(주)뉴서광
2nd row그린테크(주)
3rd row엠피닉스(주)
4th row신소재산업(주)
5th row(주)유성하이텍
ValueCountFrequency (%)
주식회사 10
 
8.0%
㈜뉴런모터스 1
 
0.8%
㈜은혜기업 1
 
0.8%
㈜리치룩스 1
 
0.8%
동진기업㈜ 1
 
0.8%
㈜다스디자인 1
 
0.8%
뉴서광㈜ 1
 
0.8%
광우알.엔.에이 1
 
0.8%
㈜아이티스퀘어 1
 
0.8%
㈜한영하이테크 1
 
0.8%
Other values (106) 106
84.8%
2024-03-15T02:03:25.759006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 65
 
8.8%
주 44
 
6.0%
( 36
 
4.9%
) 36
 
4.9%
이 31
 
4.2%
스 29
 
3.9%
에 17
 
2.3%
업 12
 
1.6%
회 12
 
1.6%
사 12
 
1.6%
Other values (149) 445
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 589
79.7%
Other Symbol 65
 
8.8%
Open Punctuation 36
 
4.9%
Close Punctuation 36
 
4.9%
Space Separator 11
 
1.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
7.5%
이 31
 
5.3%
스 29
 
4.9%
에 17
 
2.9%
업 12
 
2.0%
회 12
 
2.0%
사 12
 
2.0%
기 11
 
1.9%
식 11
 
1.9%
텍 11
 
1.9%
Other values (144) 399
67.7%
Other Symbol
ValueCountFrequency (%)
㈜ 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 654
88.5%
Common 85
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 65
 
9.9%
주 44
 
6.7%
이 31
 
4.7%
스 29
 
4.4%
에 17
 
2.6%
업 12
 
1.8%
회 12
 
1.8%
사 12
 
1.8%
기 11
 
1.7%
식 11
 
1.7%
Other values (145) 410
62.7%
Common
ValueCountFrequency (%)
( 36
42.4%
) 36
42.4%
11
 
12.9%
. 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 589
79.7%
ASCII 85
 
11.5%
None 65
 
8.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 65
100.0%
Hangul
ValueCountFrequency (%)
주 44
 
7.5%
이 31
 
5.3%
스 29
 
4.9%
에 17
 
2.9%
업 12
 
2.0%
회 12
 
2.0%
사 12
 
2.0%
기 11
 
1.9%
식 11
 
1.9%
텍 11
 
1.9%
Other values (144) 399
67.7%
ASCII
ValueCountFrequency (%)
( 36
42.4%
) 36
42.4%
11
 
12.9%
. 2
 
2.4%

대표자
Text

Distinct101
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T02:03:27.004533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1666667
Min length2

Characters and Unicode

Total characters361
Distinct characters110
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

Unique88 ?
Unique (%)77.2%

Sample

1st row이상섭
2nd row장영호
3rd row강상도
4th row장춘식
5th row지세원
ValueCountFrequency (%)
이상섭 2
 
1.7%
지세원 2
 
1.7%
김원상 2
 
1.7%
양오열 2
 
1.7%
조병진 2
 
1.7%
윤정주 2
 
1.7%
박병덕 2
 
1.7%
정재훈 2
 
1.7%
임채선,임춘섭 2
 
1.7%
나용근 2
 
1.7%
Other values (93) 96
82.8%
2024-03-15T02:03:28.687699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 19
 
5.3%
정 16
 
4.4%
박 13
 
3.6%
이 12
 
3.3%
상 12
 
3.3%
임 8
 
2.2%
영 8
 
2.2%
용 7
 
1.9%
석 6
 
1.7%
성 6
 
1.7%
Other values (100) 254
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 354
98.1%
Other Punctuation 5
 
1.4%
Space Separator 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 19
 
5.4%
정 16
 
4.5%
박 13
 
3.7%
이 12
 
3.4%
상 12
 
3.4%
임 8
 
2.3%
영 8
 
2.3%
용 7
 
2.0%
석 6
 
1.7%
성 6
 
1.7%
Other values (98) 247
69.8%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
98.1%
Common 7
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 19
 
5.4%
정 16
 
4.5%
박 13
 
3.7%
이 12
 
3.4%
상 12
 
3.4%
임 8
 
2.3%
영 8
 
2.3%
용 7
 
2.0%
석 6
 
1.7%
성 6
 
1.7%
Other values (98) 247
69.8%
Common
ValueCountFrequency (%)
, 5
71.4%
2
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 354
98.1%
ASCII 7
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 19
 
5.4%
정 16
 
4.5%
박 13
 
3.7%
이 12
 
3.4%
상 12
 
3.4%
임 8
 
2.3%
영 8
 
2.3%
용 7
 
2.0%
석 6
 
1.7%
성 6
 
1.7%
Other values (98) 247
69.8%
ASCII
ValueCountFrequency (%)
, 5
71.4%
2
 
28.6%

주소(본사)
Text

Distinct107
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T02:03:29.769540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length32
Mean length21.122807
Min length12

Characters and Unicode

Total characters2408
Distinct characters121
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

Unique100 ?
Unique (%)87.7%

Sample

1st row광주 광산구 하남산단 7번로 63
2nd row광주 광산구 평동산단 3번로 149
3rd row광주 북구 첨단벤처소로 45
4th row광주 광산구 하남산단 10번로 77
5th row광주 북구 첨단벤처소로 15번길 46
ValueCountFrequency (%)
광주 90
 
16.1%
광산구 57
 
10.2%
북구 41
 
7.3%
광주광역시 24
 
4.3%
첨단과기로 14
 
2.5%
하남산단 11
 
2.0%
동구 9
 
1.6%
첨단벤처소로 7
 
1.3%
서구 6
 
1.1%
첨단연신로 6
 
1.1%
Other values (201) 293
52.5%
2024-03-15T02:03:31.298553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
446
18.5%
광 198
 
8.2%
주 117
 
4.9%
구 116
 
4.8%
1 114
 
4.7%
로 111
 
4.6%
산 101
 
4.2%
단 75
 
3.1%
2 72
 
3.0%
3 69
 
2.9%
Other values (111) 989
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1344
55.8%
Decimal Number 518
 
21.5%
Space Separator 446
 
18.5%
Uppercase Letter 31
 
1.3%
Other Punctuation 28
 
1.2%
Dash Punctuation 28
 
1.2%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 198
14.7%
주 117
 
8.7%
구 116
 
8.6%
로 111
 
8.3%
산 101
 
7.5%
단 75
 
5.6%
번 59
 
4.4%
동 47
 
3.5%
북 41
 
3.1%
첨 35
 
2.6%
Other values (83) 444
33.0%
Decimal Number
ValueCountFrequency (%)
1 114
22.0%
2 72
13.9%
3 69
13.3%
0 58
11.2%
5 48
9.3%
4 43
 
8.3%
6 34
 
6.6%
8 33
 
6.4%
7 31
 
6.0%
9 16
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
I 6
19.4%
A 4
12.9%
P 4
12.9%
E 3
9.7%
X 3
9.7%
B 3
9.7%
L 3
9.7%
D 2
 
6.5%
C 2
 
6.5%
G 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
l 1
33.3%
e 1
33.3%
x 1
33.3%
Space Separator
ValueCountFrequency (%)
446
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1344
55.8%
Common 1030
42.8%
Latin 34
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 198
14.7%
주 117
 
8.7%
구 116
 
8.6%
로 111
 
8.3%
산 101
 
7.5%
단 75
 
5.6%
번 59
 
4.4%
동 47
 
3.5%
북 41
 
3.1%
첨 35
 
2.6%
Other values (83) 444
33.0%
Common
ValueCountFrequency (%)
446
43.3%
1 114
 
11.1%
2 72
 
7.0%
3 69
 
6.7%
0 58
 
5.6%
5 48
 
4.7%
4 43
 
4.2%
6 34
 
3.3%
8 33
 
3.2%
7 31
 
3.0%
Other values (5) 82
 
8.0%
Latin
ValueCountFrequency (%)
I 6
17.6%
A 4
11.8%
P 4
11.8%
E 3
8.8%
X 3
8.8%
B 3
8.8%
L 3
8.8%
D 2
 
5.9%
C 2
 
5.9%
G 1
 
2.9%
Other values (3) 3
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1344
55.8%
ASCII 1064
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
446
41.9%
1 114
 
10.7%
2 72
 
6.8%
3 69
 
6.5%
0 58
 
5.5%
5 48
 
4.5%
4 43
 
4.0%
6 34
 
3.2%
8 33
 
3.1%
7 31
 
2.9%
Other values (18) 116
 
10.9%
Hangul
ValueCountFrequency (%)
광 198
14.7%
주 117
 
8.7%
구 116
 
8.6%
로 111
 
8.3%
산 101
 
7.5%
단 75
 
5.6%
번 59
 
4.4%
동 47
 
3.5%
북 41
 
3.1%
첨 35
 
2.6%
Other values (83) 444
33.0%

지정시작일
Date

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2020-09-26 00:00:00
Maximum2024-01-01 00:00:00
2024-03-15T02:03:31.671019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:03:32.029037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

지정종료일
Date

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2023-09-30 00:00:00
Maximum2026-12-31 00:00:00
2024-03-15T02:03:32.358411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:03:32.719972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

비고
Text

Distinct99
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-15T02:03:33.808069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length13.289474
Min length2

Characters and Unicode

Total characters1515
Distinct characters204
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

Unique89 ?
Unique (%)78.1%

Sample

1st row기타, 기계, 장비조립용 플라스틱 제품
2nd row공기조화장치 제조업
3rd row광학렌즈 및 광학요소 제조업
4th row도장 및 기타 피막처리업
5th row기타절연선 및 케이블제조업
ValueCountFrequency (%)
제조업 43
 
11.4%
및 38
 
10.1%
소프트웨어 15
 
4.0%
개발 12
 
3.2%
기타 12
 
3.2%
공급업 11
 
2.9%
자동차 7
 
1.9%
시스템 6
 
1.6%
자동차용 6
 
1.6%
그 6
 
1.6%
Other values (173) 220
58.5%
2024-03-15T02:03:35.258579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
17.3%
업 75
 
5.0%
제 70
 
4.6%
조 67
 
4.4%
기 62
 
4.1%
및 38
 
2.5%
자 36
 
2.4%
용 34
 
2.2%
품 34
 
2.2%
차 32
 
2.1%
Other values (194) 805
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1210
79.9%
Space Separator 262
 
17.3%
Other Punctuation 20
 
1.3%
Uppercase Letter 12
 
0.8%
Lowercase Letter 7
 
0.5%
Decimal Number 2
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 75
 
6.2%
제 70
 
5.8%
조 67
 
5.5%
기 62
 
5.1%
및 38
 
3.1%
자 36
 
3.0%
용 34
 
2.8%
품 34
 
2.8%
차 32
 
2.6%
장 31
 
2.6%
Other values (178) 731
60.4%
Uppercase Letter
ValueCountFrequency (%)
D 3
25.0%
A 2
16.7%
L 2
16.7%
E 2
16.7%
F 1
 
8.3%
R 1
 
8.3%
V 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
s 4
57.1%
y 2
28.6%
a 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
262
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1210
79.9%
Common 286
 
18.9%
Latin 19
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 75
 
6.2%
제 70
 
5.8%
조 67
 
5.5%
기 62
 
5.1%
및 38
 
3.1%
자 36
 
3.0%
용 34
 
2.8%
품 34
 
2.8%
차 32
 
2.6%
장 31
 
2.6%
Other values (178) 731
60.4%
Latin
ValueCountFrequency (%)
s 4
21.1%
D 3
15.8%
A 2
10.5%
L 2
10.5%
y 2
10.5%
E 2
10.5%
a 1
 
5.3%
F 1
 
5.3%
R 1
 
5.3%
V 1
 
5.3%
Common
ValueCountFrequency (%)
262
91.6%
, 20
 
7.0%
2 1
 
0.3%
) 1
 
0.3%
( 1
 
0.3%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1210
79.9%
ASCII 305
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
85.9%
, 20
 
6.6%
s 4
 
1.3%
D 3
 
1.0%
A 2
 
0.7%
L 2
 
0.7%
y 2
 
0.7%
E 2
 
0.7%
a 1
 
0.3%
F 1
 
0.3%
Other values (6) 6
 
2.0%
Hangul
ValueCountFrequency (%)
업 75
 
6.2%
제 70
 
5.8%
조 67
 
5.5%
기 62
 
5.1%
및 38
 
3.1%
자 36
 
3.0%
용 34
 
2.8%
품 34
 
2.8%
차 32
 
2.6%
장 31
 
2.6%
Other values (178) 731
60.4%

Interactions

2024-03-15T02:03:21.334927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:03:35.525050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기수번호지정시작일지정종료일비고
기수1.0000.2111.0001.0000.910
번호0.2111.0000.2210.2210.968
지정시작일1.0000.2211.0001.0000.955
지정종료일1.0000.2211.0001.0000.955
비고0.9100.9680.9550.9551.000
2024-03-15T02:03:35.782111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호기수
번호1.0000.080
기수0.0801.000

Missing values

2024-03-15T02:03:21.719023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:03:22.135578image/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

기수번호기업명대표자주소(본사)지정시작일지정종료일비고
081(주)뉴서광이상섭광주 광산구 하남산단 7번로 632020-09-262023-09-30기타, 기계, 장비조립용 플라스틱 제품
182그린테크(주)장영호광주 광산구 평동산단 3번로 1492020-09-262023-09-30공기조화장치 제조업
283엠피닉스(주)강상도광주 북구 첨단벤처소로 452020-09-262023-09-30광학렌즈 및 광학요소 제조업
384신소재산업(주)장춘식광주 광산구 하남산단 10번로 772020-09-262023-09-30도장 및 기타 피막처리업
485(주)유성하이텍지세원광주 북구 첨단벤처소로 15번길 462020-09-262023-09-30기타절연선 및 케이블제조업
586(주)리치룩스이옥범광주 북구 첨단벤처로 28번길 72020-09-262023-09-30일반용 전기조명장치 제조업
687(주)우성정공박화석광주 북구 첨단벤처로 60번길 312020-09-262023-09-30주형 및 금형제조업
788(주)은혜기업나용근광주 광산구 평동산단 1번로 142020-09-262023-09-30자동차용 신품조향장치 및 현가장치 제조업
889알텍(주)임한근광주 광산구 진곡산단 중앙로 1492020-09-262023-09-30자동차엔진용 신품부품 제조업
9810(주)지아이엠텍전건하광주 북구 첨단연신로 29번길, 292020-09-262023-09-30합성수지 및 기타 플라스틱 물질 제조업
기수번호기업명대표자주소(본사)지정시작일지정종료일비고
1041226농업회사법인 ㈜유기농마루김상범광주 광산구 월전동 12432024-01-012026-12-31건강식품
1051227이에스글로벌㈜임동규광주 광산구 용아로 6372024-01-012026-12-31진공단열제
1061228㈜우리원테크김찬욱광주 광산구 빛12로 42024-01-012026-12-31액체 펌프
1071229제이피산업㈜정판성광주 광산구 비아로147번길 8-302024-01-012026-12-31가정용 전기난방기기
1081230㈜준테크정종인광주 광산구 진곡산단3번로 41-172024-01-012026-12-31냉장고, 냉난방기 부품
1091231㈜제이투모로우원장석균광주 북구 추암로 249, 3D 융합상용화지원센터 402호2024-01-012026-12-31클라우드 고객관리시스템
1101232제로웰 주식회사김상진광주 북구 첨단과기로 208번길 17-31, 102호, 106호2024-01-012026-12-31가습기, 공기청정기
1111233㈜카라멜라박서연광주 동구 금남로 193-12 702호2024-01-012026-12-31소트프웨어
1121234주식회사 커넥티트정효정광주 북구 추암로 249, 3D융합상용화지원센터 502호2024-01-012026-12-31전력거래 서비스 플랫폼
1131235주식회사한아송창금광주 광산구 진곡산단4번로 31-302024-01-012026-12-31소형노면로봇청소기