Overview

Dataset statistics

Number of variables4
Number of observations729
Missing cells29
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.9 KiB
Average record size in memory32.2 B

Variable types

Text4

Dataset

Description2021년 5월 31일 현재 여수시 관내 기업(제조업) 현황으로 기업명, 대표자,업종명, 생산품 등의 현황을 제공합니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/3070659/fileData.do

Alerts

생산품 has 20 (2.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 02:47:55.400549
Analysis finished2023-12-12 02:47:56.714457
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct680
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size5.8 KiB
2023-12-12T11:47:56.888979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.2935528
Min length2

Characters and Unicode

Total characters5317
Distinct characters366
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique634 ?
Unique (%)87.0%

Sample

1st row(유)광승엔지니어링
2nd row(유)동일
3rd row(유)동일가스
4th row(유)성광
5th row(유)세광철강
ValueCountFrequency (%)
주식회사 36
 
4.4%
제2공장 9
 
1.1%
농업회사법인 8
 
1.0%
어업회사법인 5
 
0.6%
대성에프에이(주 4
 
0.5%
제1공장 3
 
0.4%
명진식품 3
 
0.4%
영농조합법인 3
 
0.4%
주)미주 3
 
0.4%
청해원푸드시스템(주 3
 
0.4%
Other values (684) 739
90.6%
2023-12-12T11:47:57.294773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 429
 
8.1%
) 403
 
7.6%
( 402
 
7.6%
산 136
 
2.6%
업 119
 
2.2%
식 102
 
1.9%
사 98
 
1.8%
이 94
 
1.8%
수 94
 
1.8%
93
 
1.7%
Other values (356) 3347
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4329
81.4%
Close Punctuation 403
 
7.6%
Open Punctuation 402
 
7.6%
Space Separator 93
 
1.7%
Uppercase Letter 43
 
0.8%
Decimal Number 35
 
0.7%
Lowercase Letter 8
 
0.2%
Other Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 429
 
9.9%
산 136
 
3.1%
업 119
 
2.7%
식 102
 
2.4%
사 98
 
2.3%
이 94
 
2.2%
수 94
 
2.2%
기 88
 
2.0%
공 81
 
1.9%
대 72
 
1.7%
Other values (328) 3016
69.7%
Uppercase Letter
ValueCountFrequency (%)
G 7
16.3%
E 6
14.0%
S 5
11.6%
N 5
11.6%
F 4
9.3%
R 3
7.0%
M 3
7.0%
T 3
7.0%
P 3
7.0%
C 2
 
4.7%
Other values (2) 2
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
37.5%
l 1
 
12.5%
r 1
 
12.5%
n 1
 
12.5%
t 1
 
12.5%
a 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
2 22
62.9%
1 9
25.7%
3 3
 
8.6%
5 1
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 402
100.0%
Space Separator
ValueCountFrequency (%)
93
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4330
81.4%
Common 936
 
17.6%
Latin 51
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 429
 
9.9%
산 136
 
3.1%
업 119
 
2.7%
식 102
 
2.4%
사 98
 
2.3%
이 94
 
2.2%
수 94
 
2.2%
기 88
 
2.0%
공 81
 
1.9%
대 72
 
1.7%
Other values (329) 3017
69.7%
Latin
ValueCountFrequency (%)
G 7
13.7%
E 6
11.8%
S 5
9.8%
N 5
9.8%
F 4
7.8%
e 3
 
5.9%
R 3
 
5.9%
M 3
 
5.9%
T 3
 
5.9%
P 3
 
5.9%
Other values (8) 9
17.6%
Common
ValueCountFrequency (%)
) 403
43.1%
( 402
42.9%
93
 
9.9%
2 22
 
2.4%
1 9
 
1.0%
3 3
 
0.3%
& 2
 
0.2%
- 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4329
81.4%
ASCII 987
 
18.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 429
 
9.9%
산 136
 
3.1%
업 119
 
2.7%
식 102
 
2.4%
사 98
 
2.3%
이 94
 
2.2%
수 94
 
2.2%
기 88
 
2.0%
공 81
 
1.9%
대 72
 
1.7%
Other values (328) 3016
69.7%
ASCII
ValueCountFrequency (%)
) 403
40.8%
( 402
40.7%
93
 
9.4%
2 22
 
2.2%
1 9
 
0.9%
G 7
 
0.7%
E 6
 
0.6%
S 5
 
0.5%
N 5
 
0.5%
F 4
 
0.4%
Other values (17) 31
 
3.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

공장대표주소(도로명)
Text

Distinct609
Distinct (%)83.9%
Missing3
Missing (%)0.4%
Memory size5.8 KiB
2023-12-12T11:47:57.659155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length25.209366
Min length16

Characters and Unicode

Total characters18302
Distinct characters227
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique534 ?
Unique (%)73.6%

Sample

1st row전라남도 여수시 어항단지로 95-9 (국동)
2nd row전라남도 여수시 국포1로 27 (국동)
3rd row전라남도 여수시 여수산단로 46-1 (봉계동)
4th row전라남도 여수시 화양면 용주리 1093
5th row전라남도 여수시 좌수영로 1167(주삼동) 외 1필지
ValueCountFrequency (%)
전라남도 726
 
18.0%
여수시 726
 
18.0%
망양로 112
 
2.8%
화양면 104
 
2.6%
외 100
 
2.5%
국동 80
 
2.0%
오천동 70
 
1.7%
돌산읍 67
 
1.7%
화양로 64
 
1.6%
소라면 61
 
1.5%
Other values (785) 1923
47.7%
2023-12-12T11:47:58.166181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3307
 
18.1%
남 805
 
4.4%
수 798
 
4.4%
라 796
 
4.3%
여 780
 
4.3%
전 743
 
4.1%
도 742
 
4.1%
시 734
 
4.0%
1 678
 
3.7%
동 496
 
2.7%
Other values (217) 8423
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10688
58.4%
Space Separator 3307
 
18.1%
Decimal Number 2805
 
15.3%
Close Punctuation 489
 
2.7%
Open Punctuation 488
 
2.7%
Dash Punctuation 366
 
2.0%
Other Punctuation 132
 
0.7%
Other Symbol 17
 
0.1%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 805
 
7.5%
수 798
 
7.5%
라 796
 
7.4%
여 780
 
7.3%
전 743
 
7.0%
도 742
 
6.9%
시 734
 
6.9%
동 496
 
4.6%
로 401
 
3.8%
양 290
 
2.7%
Other values (194) 4103
38.4%
Decimal Number
ValueCountFrequency (%)
1 678
24.2%
2 408
14.5%
4 323
11.5%
5 278
9.9%
3 252
 
9.0%
7 206
 
7.3%
8 184
 
6.6%
6 180
 
6.4%
9 156
 
5.6%
0 140
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 127
96.2%
. 3
 
2.3%
" 1
 
0.8%
/ 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
S 4
40.0%
G 2
20.0%
F 2
20.0%
C 2
20.0%
Space Separator
ValueCountFrequency (%)
3307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 489
100.0%
Open Punctuation
ValueCountFrequency (%)
( 488
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 366
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10705
58.5%
Common 7587
41.5%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 805
 
7.5%
수 798
 
7.5%
라 796
 
7.4%
여 780
 
7.3%
전 743
 
6.9%
도 742
 
6.9%
시 734
 
6.9%
동 496
 
4.6%
로 401
 
3.7%
양 290
 
2.7%
Other values (195) 4120
38.5%
Common
ValueCountFrequency (%)
3307
43.6%
1 678
 
8.9%
) 489
 
6.4%
( 488
 
6.4%
2 408
 
5.4%
- 366
 
4.8%
4 323
 
4.3%
5 278
 
3.7%
3 252
 
3.3%
7 206
 
2.7%
Other values (8) 792
 
10.4%
Latin
ValueCountFrequency (%)
S 4
40.0%
G 2
20.0%
F 2
20.0%
C 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10688
58.4%
ASCII 7597
41.5%
None 17
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3307
43.5%
1 678
 
8.9%
) 489
 
6.4%
( 488
 
6.4%
2 408
 
5.4%
- 366
 
4.8%
4 323
 
4.3%
5 278
 
3.7%
3 252
 
3.3%
7 206
 
2.7%
Other values (12) 802
 
10.6%
Hangul
ValueCountFrequency (%)
남 805
 
7.5%
수 798
 
7.5%
라 796
 
7.4%
여 780
 
7.3%
전 743
 
7.0%
도 742
 
6.9%
시 734
 
6.9%
동 496
 
4.6%
로 401
 
3.8%
양 290
 
2.7%
Other values (194) 4103
38.4%
None
ValueCountFrequency (%)
㈜ 17
100.0%

업종명
Text

Distinct288
Distinct (%)39.8%
Missing6
Missing (%)0.8%
Memory size5.8 KiB
2023-12-12T11:47:58.481457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length16.748271
Min length3

Characters and Unicode

Total characters12109
Distinct characters251
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)24.1%

Sample

1st row선박 구성 부분품 제조업
2nd row선박 구성 부분품 제조업
3rd row가정용 살균 및 살충제 제조업
4th row전동기 및 발전기 제조업
5th row그 외 기타 1차 철강 제조업
ValueCountFrequency (%)
제조업 581
 
15.3%
및 348
 
9.2%
외 268
 
7.1%
종 242
 
6.4%
수산동물 157
 
4.1%
기타 140
 
3.7%
1 139
 
3.7%
가공 73
 
1.9%
저장 58
 
1.5%
처리업 58
 
1.5%
Other values (346) 1733
45.6%
2023-12-12T11:47:59.028926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3074
25.4%
조 792
 
6.5%
업 739
 
6.1%
제 730
 
6.0%
및 352
 
2.9%
기 308
 
2.5%
품 286
 
2.4%
외 281
 
2.3%
물 260
 
2.1%
동 246
 
2.0%
Other values (241) 5041
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8711
71.9%
Space Separator 3074
 
25.4%
Decimal Number 248
 
2.0%
Other Punctuation 74
 
0.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 792
 
9.1%
업 739
 
8.5%
제 730
 
8.4%
및 352
 
4.0%
기 308
 
3.5%
품 286
 
3.3%
외 281
 
3.2%
물 260
 
3.0%
동 246
 
2.8%
종 242
 
2.8%
Other values (226) 4475
51.4%
Decimal Number
ValueCountFrequency (%)
1 145
58.5%
2 48
 
19.4%
3 29
 
11.7%
6 8
 
3.2%
4 8
 
3.2%
5 5
 
2.0%
7 2
 
0.8%
8 2
 
0.8%
0 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 67
90.5%
. 5
 
6.8%
· 2
 
2.7%
Space Separator
ValueCountFrequency (%)
3074
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8711
71.9%
Common 3398
 
28.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 792
 
9.1%
업 739
 
8.5%
제 730
 
8.4%
및 352
 
4.0%
기 308
 
3.5%
품 286
 
3.3%
외 281
 
3.2%
물 260
 
3.0%
동 246
 
2.8%
종 242
 
2.8%
Other values (226) 4475
51.4%
Common
ValueCountFrequency (%)
3074
90.5%
1 145
 
4.3%
, 67
 
2.0%
2 48
 
1.4%
3 29
 
0.9%
6 8
 
0.2%
4 8
 
0.2%
. 5
 
0.1%
5 5
 
0.1%
7 2
 
0.1%
Other values (5) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8705
71.9%
ASCII 3396
 
28.0%
Compat Jamo 6
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3074
90.5%
1 145
 
4.3%
, 67
 
2.0%
2 48
 
1.4%
3 29
 
0.9%
6 8
 
0.2%
4 8
 
0.2%
. 5
 
0.1%
5 5
 
0.1%
7 2
 
0.1%
Other values (4) 5
 
0.1%
Hangul
ValueCountFrequency (%)
조 792
 
9.1%
업 739
 
8.5%
제 730
 
8.4%
및 352
 
4.0%
기 308
 
3.5%
품 286
 
3.3%
외 281
 
3.2%
물 260
 
3.0%
동 246
 
2.8%
종 242
 
2.8%
Other values (225) 4469
51.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

생산품
Text

MISSING 

Distinct596
Distinct (%)84.1%
Missing20
Missing (%)2.7%
Memory size5.8 KiB
2023-12-12T11:47:59.340446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length9.0803949
Min length1

Characters and Unicode

Total characters6438
Distinct characters482
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique531 ?
Unique (%)74.9%

Sample

1st row선박기관부품제조
2nd row선박부분품
3rd row아세틸렌
4th row수배전반, 자동제어반
5th row철근형상가공품
ValueCountFrequency (%)
및 29
 
2.4%
등 29
 
2.4%
철구조물 24
 
2.0%
선박기계부품 11
 
0.9%
cctv 9
 
0.7%
금속탱크 9
 
0.7%
자동제어반 9
 
0.7%
냉동수산물 7
 
0.6%
가공 6
 
0.5%
갓김치 6
 
0.5%
Other values (844) 1069
88.5%
2023-12-12T11:47:59.759704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
508
 
7.9%
, 409
 
6.4%
기 208
 
3.2%
조 159
 
2.5%
어 133
 
2.1%
물 112
 
1.7%
품 111
 
1.7%
제 109
 
1.7%
수 104
 
1.6%
치 100
 
1.6%
Other values (472) 4485
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5127
79.6%
Space Separator 508
 
7.9%
Other Punctuation 467
 
7.3%
Uppercase Letter 220
 
3.4%
Open Punctuation 38
 
0.6%
Close Punctuation 38
 
0.6%
Lowercase Letter 37
 
0.6%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 208
 
4.1%
조 159
 
3.1%
어 133
 
2.6%
물 112
 
2.2%
품 111
 
2.2%
제 109
 
2.1%
수 104
 
2.0%
치 100
 
2.0%
등 85
 
1.7%
선 81
 
1.6%
Other values (427) 3925
76.6%
Uppercase Letter
ValueCountFrequency (%)
P 32
14.5%
E 26
11.8%
C 23
10.5%
R 18
8.2%
V 18
8.2%
T 16
7.3%
D 15
 
6.8%
L 14
 
6.4%
F 11
 
5.0%
O 9
 
4.1%
Other values (9) 38
17.3%
Lowercase Letter
ValueCountFrequency (%)
t 5
13.5%
e 5
13.5%
c 4
10.8%
a 4
10.8%
r 3
8.1%
v 2
 
5.4%
n 2
 
5.4%
l 2
 
5.4%
p 2
 
5.4%
s 2
 
5.4%
Other values (6) 6
16.2%
Other Punctuation
ValueCountFrequency (%)
, 409
87.6%
. 54
 
11.6%
/ 3
 
0.6%
· 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
508
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5127
79.6%
Common 1054
 
16.4%
Latin 257
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 208
 
4.1%
조 159
 
3.1%
어 133
 
2.6%
물 112
 
2.2%
품 111
 
2.2%
제 109
 
2.1%
수 104
 
2.0%
치 100
 
2.0%
등 85
 
1.7%
선 81
 
1.6%
Other values (427) 3925
76.6%
Latin
ValueCountFrequency (%)
P 32
12.5%
E 26
 
10.1%
C 23
 
8.9%
R 18
 
7.0%
V 18
 
7.0%
T 16
 
6.2%
D 15
 
5.8%
L 14
 
5.4%
F 11
 
4.3%
O 9
 
3.5%
Other values (25) 75
29.2%
Common
ValueCountFrequency (%)
508
48.2%
, 409
38.8%
. 54
 
5.1%
( 38
 
3.6%
) 38
 
3.6%
/ 3
 
0.3%
2 1
 
0.1%
· 1
 
0.1%
- 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5127
79.6%
ASCII 1310
 
20.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
508
38.8%
, 409
31.2%
. 54
 
4.1%
( 38
 
2.9%
) 38
 
2.9%
P 32
 
2.4%
E 26
 
2.0%
C 23
 
1.8%
R 18
 
1.4%
V 18
 
1.4%
Other values (34) 146
 
11.1%
Hangul
ValueCountFrequency (%)
기 208
 
4.1%
조 159
 
3.1%
어 133
 
2.6%
물 112
 
2.2%
품 111
 
2.2%
제 109
 
2.1%
수 104
 
2.0%
치 100
 
2.0%
등 85
 
1.7%
선 81
 
1.6%
Other values (427) 3925
76.6%
None
ValueCountFrequency (%)
· 1
100.0%

Missing values

2023-12-12T11:47:56.455306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:47:56.548300image/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.
2023-12-12T11:47:56.654019image/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

회사명공장대표주소(도로명)업종명생산품
0(유)광승엔지니어링전라남도 여수시 어항단지로 95-9 (국동)선박 구성 부분품 제조업선박기관부품제조
1(유)동일전라남도 여수시 국포1로 27 (국동)선박 구성 부분품 제조업선박부분품
2(유)동일가스전라남도 여수시 여수산단로 46-1 (봉계동)가정용 살균 및 살충제 제조업아세틸렌
3(유)성광전라남도 여수시 화양면 용주리 1093전동기 및 발전기 제조업수배전반, 자동제어반
4(유)세광철강전라남도 여수시 좌수영로 1167(주삼동) 외 1필지그 외 기타 1차 철강 제조업철근형상가공품
5(유)순수리싸이클링전라남도 여수시 율촌면 취적1길 39-137혼성 및 재생 플라스틱 소재 물질 제조업PE, PP
6(유)신진테크전라남도 여수시 대학로 50, 산학연구관 519, 520호 (둔덕동, 전남대학교 여수캠퍼스)화장품 제조업환경정화물질(모리닉스 탈취제)
7(유)신흥정공전라남도 여수시 둔덕4길 17 (둔덕동)설치용 금속탱크 및 저장용기 제조업 외 1 종기계부품 및 저장용기
8(유)쌍용듸젤전라남도 여수시 국동남7길 6 (국동)선박 구성 부분품 제조업축계제작,기계수리
9(유)에스엠티(SMT)전라남도 여수시 화양면 화동리 413-27번지기타 기계.장비 조립용 플라스틱 제품 제조업 외 1 종PE 배관용 플라스틱 제품 제조업, 트랙터용 플로우
회사명공장대표주소(도로명)업종명생산품
719호남엔지니어링전라남도 여수시 둔덕2길 25 (미평동)건설 및 채광용 기계장비 제조업토목공사기계장비제조
720호남유압전라남도 여수시 어항단지로 91 (국동)선박 구성 부분품 제조업철구조물
721화담전라남도 여수시 돌산읍 평사로 112장류 제조업장류제품(된장, 고추장)
722화성듸젤전라남도 여수시 신월동 37-545번지선박 구성부분품 제조업선박기계부품
723화성산업주식회사전라남도 여수시 소라면 덕양로 377목재 깔판류 및 기타 적재판 제조업 외 1 종파렛트
724화성엔지니어링전라남도 여수시 국동 37-114번지선박 구성 부분품 제조업 외 1 종합성수지선,선박기관수리부품
725화양수지(주)전라남도 여수시 화양면 화양로 1121-23 (화양수지(주))폴리스티렌 발포 성형제품 제조업 외 1 종스치로폴
726화인프로세스(주)전라남도 여수시 여천1길 48 (여천동)배전반 및 전기 자동제어반 제조업전기공급 및 전기제어장치, 소프트웨어
727흥도수지(유)전라남도 여수시 화양면 화양로 1121-23 (화양수지(주))폴리스티렌 발포 성형제품 제조업 외 1 종스티로폴단열재,어상자,부자
728희망공조닥트전라남도 여수시 상암4길 16 (상암동)구조용 금속 판제품 및 공작물 제조업알루미늄, 갈바시트