Overview

Dataset statistics

Number of variables6
Number of observations460
Missing cells29
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.7 KiB
Average record size in memory48.3 B

Variable types

Text5
Categorical1

Dataset

Description제주특별자치도 제주시 관내 공장 관련 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056023/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 29 (6.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:30:09.109651
Analysis finished2023-12-12 10:30:10.037276
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct453
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T19:30:10.236193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length8.3543478
Min length2

Characters and Unicode

Total characters3843
Distinct characters350
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

Unique447 ?
Unique (%)97.2%

Sample

1st row(유)정우조경시설
2nd row(재)제주테크노파크
3rd row(재)제주테크노파크(제2공장)
4th row(제)이시돌농촌산업개발협회-이시돌사료공장
5th row(주) 정우
ValueCountFrequency (%)
주식회사 80
 
13.6%
농업회사법인 12
 
2.0%
영어조합법인 6
 
1.0%
유한회사 5
 
0.8%
영농조합법인 4
 
0.7%
제2공장 3
 
0.5%
주)대은 3
 
0.5%
한림수산업협동조합 2
 
0.3%
주)형신 2
 
0.3%
주)신흥산업 2
 
0.3%
Other values (464) 470
79.8%
2023-12-12T19:30:10.747475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 354
 
9.2%
( 192
 
5.0%
) 192
 
5.0%
사 150
 
3.9%
129
 
3.4%
회 122
 
3.2%
업 117
 
3.0%
제 110
 
2.9%
식 104
 
2.7%
산 91
 
2.4%
Other values (340) 2282
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3296
85.8%
Open Punctuation 192
 
5.0%
Close Punctuation 192
 
5.0%
Space Separator 129
 
3.4%
Uppercase Letter 17
 
0.4%
Decimal Number 11
 
0.3%
Other Punctuation 4
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 354
 
10.7%
사 150
 
4.6%
회 122
 
3.7%
업 117
 
3.5%
제 110
 
3.3%
식 104
 
3.2%
산 91
 
2.8%
인 77
 
2.3%
법 63
 
1.9%
이 62
 
1.9%
Other values (317) 2046
62.1%
Uppercase Letter
ValueCountFrequency (%)
E 2
11.8%
P 2
11.8%
T 2
11.8%
G 2
11.8%
R 1
 
5.9%
F 1
 
5.9%
K 1
 
5.9%
J 1
 
5.9%
S 1
 
5.9%
M 1
 
5.9%
Other values (3) 3
17.6%
Decimal Number
ValueCountFrequency (%)
2 8
72.7%
1 2
 
18.2%
3 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
/ 1
25.0%
& 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 192
100.0%
Close Punctuation
ValueCountFrequency (%)
) 192
100.0%
Space Separator
ValueCountFrequency (%)
129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3296
85.8%
Common 530
 
13.8%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 354
 
10.7%
사 150
 
4.6%
회 122
 
3.7%
업 117
 
3.5%
제 110
 
3.3%
식 104
 
3.2%
산 91
 
2.8%
인 77
 
2.3%
법 63
 
1.9%
이 62
 
1.9%
Other values (317) 2046
62.1%
Latin
ValueCountFrequency (%)
E 2
11.8%
P 2
11.8%
T 2
11.8%
G 2
11.8%
R 1
 
5.9%
F 1
 
5.9%
K 1
 
5.9%
J 1
 
5.9%
S 1
 
5.9%
M 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
( 192
36.2%
) 192
36.2%
129
24.3%
2 8
 
1.5%
. 2
 
0.4%
- 2
 
0.4%
1 2
 
0.4%
/ 1
 
0.2%
3 1
 
0.2%
& 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3296
85.8%
ASCII 547
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 354
 
10.7%
사 150
 
4.6%
회 122
 
3.7%
업 117
 
3.5%
제 110
 
3.3%
식 104
 
3.2%
산 91
 
2.8%
인 77
 
2.3%
법 63
 
1.9%
이 62
 
1.9%
Other values (317) 2046
62.1%
ASCII
ValueCountFrequency (%)
( 192
35.1%
) 192
35.1%
129
23.6%
2 8
 
1.5%
. 2
 
0.4%
E 2
 
0.4%
P 2
 
0.4%
T 2
 
0.4%
- 2
 
0.4%
1 2
 
0.4%
Other values (13) 14
 
2.6%

전화번호
Text

MISSING 

Distinct408
Distinct (%)94.7%
Missing29
Missing (%)6.3%
Memory size3.7 KiB
2023-12-12T19:30:11.045619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016241
Min length9

Characters and Unicode

Total characters5179
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

Unique388 ?
Unique (%)90.0%

Sample

1st row064-712-8191
2nd row064-720-2300
3rd row064-720-2300
4th row064-796-2343
5th row064-712-7577
ValueCountFrequency (%)
064-799-1188 3
 
0.7%
064-748-8446 3
 
0.7%
064-746-8891 3
 
0.7%
064-799-5135 2
 
0.5%
064-711-4704 2
 
0.5%
064-747-8826 2
 
0.5%
064-742-7030 2
 
0.5%
064-799-8122 2
 
0.5%
070-4259-6732 2
 
0.5%
064-782-5900 2
 
0.5%
Other values (398) 408
94.7%
2023-12-12T19:30:11.498611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 861
16.6%
0 722
13.9%
4 697
13.5%
7 632
12.2%
6 616
11.9%
2 340
 
6.6%
5 305
 
5.9%
1 285
 
5.5%
8 281
 
5.4%
9 228
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4318
83.4%
Dash Punctuation 861
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 722
16.7%
4 697
16.1%
7 632
14.6%
6 616
14.3%
2 340
7.9%
5 305
7.1%
1 285
 
6.6%
8 281
 
6.5%
9 228
 
5.3%
3 212
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 861
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5179
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 861
16.6%
0 722
13.9%
4 697
13.5%
7 632
12.2%
6 616
11.9%
2 340
 
6.6%
5 305
 
5.9%
1 285
 
5.5%
8 281
 
5.4%
9 228
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5179
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 861
16.6%
0 722
13.9%
4 697
13.5%
7 632
12.2%
6 616
11.9%
2 340
 
6.6%
5 305
 
5.9%
1 285
 
5.5%
8 281
 
5.4%
9 228
 
4.4%

생산품
Text

Distinct418
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T19:30:11.876129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length31
Mean length10
Min length1

Characters and Unicode

Total characters4600
Distinct characters427
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

Unique394 ?
Unique (%)85.7%

Sample

1st row퍼걸러·옥외용벤치·운동시설
2nd row화장품· 치약· 비누
3rd row식품
4th row배합사료
5th row철물제작
ValueCountFrequency (%)
및 20
 
2.3%
등 13
 
1.5%
레미콘 12
 
1.4%
배전반· 11
 
1.3%
자동제어반 9
 
1.0%
창호 9
 
1.0%
자동제어반· 8
 
0.9%
외 6
 
0.7%
벽돌· 5
 
0.6%
돈육 5
 
0.6%
Other values (649) 760
88.6%
2023-12-12T19:30:12.393732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
400
 
8.7%
· 381
 
8.3%
기 98
 
2.1%
제 83
 
1.8%
장 82
 
1.8%
어 81
 
1.8%
반 65
 
1.4%
자 65
 
1.4%
가 63
 
1.4%
전 62
 
1.3%
Other values (417) 3220
70.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3612
78.5%
Space Separator 400
 
8.7%
Other Punctuation 390
 
8.5%
Uppercase Letter 141
 
3.1%
Close Punctuation 26
 
0.6%
Open Punctuation 26
 
0.6%
Lowercase Letter 4
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 98
 
2.7%
제 83
 
2.3%
장 82
 
2.3%
어 81
 
2.2%
반 65
 
1.8%
자 65
 
1.8%
가 63
 
1.7%
전 62
 
1.7%
스 60
 
1.7%
품 59
 
1.6%
Other values (393) 2894
80.1%
Uppercase Letter
ValueCountFrequency (%)
C 30
21.3%
E 22
15.6%
D 18
12.8%
V 17
12.1%
L 17
12.1%
P 13
9.2%
T 13
9.2%
S 3
 
2.1%
R 2
 
1.4%
A 2
 
1.4%
Other values (4) 4
 
2.8%
Other Punctuation
ValueCountFrequency (%)
· 381
97.7%
. 7
 
1.8%
/ 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
v 1
25.0%
t 1
25.0%
Space Separator
ValueCountFrequency (%)
400
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3612
78.5%
Common 843
 
18.3%
Latin 145
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 98
 
2.7%
제 83
 
2.3%
장 82
 
2.3%
어 81
 
2.2%
반 65
 
1.8%
자 65
 
1.8%
가 63
 
1.7%
전 62
 
1.7%
스 60
 
1.7%
품 59
 
1.6%
Other values (393) 2894
80.1%
Latin
ValueCountFrequency (%)
C 30
20.7%
E 22
15.2%
D 18
12.4%
V 17
11.7%
L 17
11.7%
P 13
9.0%
T 13
9.0%
S 3
 
2.1%
c 2
 
1.4%
R 2
 
1.4%
Other values (7) 8
 
5.5%
Common
ValueCountFrequency (%)
400
47.4%
· 381
45.2%
) 26
 
3.1%
( 26
 
3.1%
. 7
 
0.8%
/ 2
 
0.2%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3612
78.5%
ASCII 607
 
13.2%
None 381
 
8.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
400
65.9%
C 30
 
4.9%
) 26
 
4.3%
( 26
 
4.3%
E 22
 
3.6%
D 18
 
3.0%
V 17
 
2.8%
L 17
 
2.8%
P 13
 
2.1%
T 13
 
2.1%
Other values (13) 25
 
4.1%
None
ValueCountFrequency (%)
· 381
100.0%
Hangul
ValueCountFrequency (%)
기 98
 
2.7%
제 83
 
2.3%
장 82
 
2.3%
어 81
 
2.2%
반 65
 
1.8%
자 65
 
1.8%
가 63
 
1.7%
전 62
 
1.7%
스 60
 
1.7%
품 59
 
1.6%
Other values (393) 2894
80.1%

공장대표주소
Text

Distinct435
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T19:30:12.781549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length22.197826
Min length17

Characters and Unicode

Total characters10211
Distinct characters173
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique413 ?
Unique (%)89.8%

Sample

1st row제주특별자치도 제주시 선반로8길 5-3
2nd row제주특별자치도 제주시 산천단동길 16
3rd row제주특별자치도 제주시 제주대학로 102
4th row제주특별자치도 제주시 한림읍 귀덕14길 73
5th row제주특별자치도 제주시 조공포길 61
ValueCountFrequency (%)
제주시 460
22.2%
제주특별자치도 458
22.1%
애월읍 83
 
4.0%
조천읍 68
 
3.3%
한림읍 45
 
2.2%
구좌읍 25
 
1.2%
연삼로 9
 
0.4%
번영로 8
 
0.4%
선반로 8
 
0.4%
화남로 8
 
0.4%
Other values (566) 904
43.5%
2023-12-12T19:30:13.325892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1653
16.2%
주 937
 
9.2%
제 923
 
9.0%
도 487
 
4.8%
자 473
 
4.6%
특 460
 
4.5%
별 460
 
4.5%
치 460
 
4.5%
시 460
 
4.5%
1 308
 
3.0%
Other values (163) 3590
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6955
68.1%
Space Separator 1653
 
16.2%
Decimal Number 1489
 
14.6%
Dash Punctuation 114
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 937
13.5%
제 923
13.3%
도 487
 
7.0%
자 473
 
6.8%
특 460
 
6.6%
별 460
 
6.6%
치 460
 
6.6%
시 460
 
6.6%
로 272
 
3.9%
읍 224
 
3.2%
Other values (151) 1799
25.9%
Decimal Number
ValueCountFrequency (%)
1 308
20.7%
2 223
15.0%
3 162
10.9%
4 145
9.7%
5 135
9.1%
6 123
 
8.3%
7 121
 
8.1%
8 108
 
7.3%
0 83
 
5.6%
9 81
 
5.4%
Space Separator
ValueCountFrequency (%)
1653
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6955
68.1%
Common 3256
31.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 937
13.5%
제 923
13.3%
도 487
 
7.0%
자 473
 
6.8%
특 460
 
6.6%
별 460
 
6.6%
치 460
 
6.6%
시 460
 
6.6%
로 272
 
3.9%
읍 224
 
3.2%
Other values (151) 1799
25.9%
Common
ValueCountFrequency (%)
1653
50.8%
1 308
 
9.5%
2 223
 
6.8%
3 162
 
5.0%
4 145
 
4.5%
5 135
 
4.1%
6 123
 
3.8%
7 121
 
3.7%
- 114
 
3.5%
8 108
 
3.3%
Other values (2) 164
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6955
68.1%
ASCII 3256
31.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1653
50.8%
1 308
 
9.5%
2 223
 
6.8%
3 162
 
5.0%
4 145
 
4.5%
5 135
 
4.1%
6 123
 
3.8%
7 121
 
3.7%
- 114
 
3.5%
8 108
 
3.3%
Other values (2) 164
 
5.0%
Hangul
ValueCountFrequency (%)
주 937
13.5%
제 923
13.3%
도 487
 
7.0%
자 473
 
6.8%
특 460
 
6.6%
별 460
 
6.6%
치 460
 
6.6%
시 460
 
6.6%
로 272
 
3.9%
읍 224
 
3.2%
Other values (151) 1799
25.9%

업종명
Text

Distinct242
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2023-12-12T19:30:13.669924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length18.117391
Min length6

Characters and Unicode

Total characters8334
Distinct characters227
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

Unique162 ?
Unique (%)35.2%

Sample

1st row놀이터용 장비 제조업 외 1 종
2nd row화장품 제조업 외 3 종
3rd row그 외 기타 식료품 제조업 외 13 종
4th row배합 사료 제조업 외 1 종
5th row플라스틱 창호 제조업
ValueCountFrequency (%)
제조업 384
 
14.1%
외 260
 
9.6%
종 238
 
8.7%
및 234
 
8.6%
1 123
 
4.5%
기타 115
 
4.2%
2 49
 
1.8%
가공 44
 
1.6%
금속 44
 
1.6%
전기 37
 
1.4%
Other values (278) 1193
43.8%
2023-12-12T19:30:14.132174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2261
27.1%
제 549
 
6.6%
업 478
 
5.7%
조 452
 
5.4%
외 281
 
3.4%
종 243
 
2.9%
기 241
 
2.9%
및 234
 
2.8%
품 147
 
1.8%
1 135
 
1.6%
Other values (217) 3313
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5712
68.5%
Space Separator 2261
 
27.1%
Decimal Number 248
 
3.0%
Other Punctuation 71
 
0.9%
Open Punctuation 21
 
0.3%
Close Punctuation 21
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 549
 
9.6%
업 478
 
8.4%
조 452
 
7.9%
외 281
 
4.9%
종 243
 
4.3%
기 241
 
4.2%
및 234
 
4.1%
품 147
 
2.6%
타 127
 
2.2%
장 109
 
1.9%
Other values (204) 2851
49.9%
Decimal Number
ValueCountFrequency (%)
1 135
54.4%
2 50
 
20.2%
3 25
 
10.1%
4 14
 
5.6%
5 10
 
4.0%
7 6
 
2.4%
6 4
 
1.6%
8 2
 
0.8%
0 2
 
0.8%
Space Separator
ValueCountFrequency (%)
2261
100.0%
Other Punctuation
ValueCountFrequency (%)
· 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5712
68.5%
Common 2622
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 549
 
9.6%
업 478
 
8.4%
조 452
 
7.9%
외 281
 
4.9%
종 243
 
4.3%
기 241
 
4.2%
및 234
 
4.1%
품 147
 
2.6%
타 127
 
2.2%
장 109
 
1.9%
Other values (204) 2851
49.9%
Common
ValueCountFrequency (%)
2261
86.2%
1 135
 
5.1%
· 71
 
2.7%
2 50
 
1.9%
3 25
 
1.0%
( 21
 
0.8%
) 21
 
0.8%
4 14
 
0.5%
5 10
 
0.4%
7 6
 
0.2%
Other values (3) 8
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5702
68.4%
ASCII 2551
30.6%
None 71
 
0.9%
Compat Jamo 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2261
88.6%
1 135
 
5.3%
2 50
 
2.0%
3 25
 
1.0%
( 21
 
0.8%
) 21
 
0.8%
4 14
 
0.5%
5 10
 
0.4%
7 6
 
0.2%
6 4
 
0.2%
Other values (2) 4
 
0.2%
Hangul
ValueCountFrequency (%)
제 549
 
9.6%
업 478
 
8.4%
조 452
 
7.9%
외 281
 
4.9%
종 243
 
4.3%
기 241
 
4.2%
및 234
 
4.1%
품 147
 
2.6%
타 127
 
2.2%
장 109
 
1.9%
Other values (203) 2841
49.8%
None
ValueCountFrequency (%)
· 71
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2021-08-25
460 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-08-25
2nd row2021-08-25
3rd row2021-08-25
4th row2021-08-25
5th row2021-08-25

Common Values

ValueCountFrequency (%)
2021-08-25 460
100.0%

Length

2023-12-12T19:30:14.283349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:30:14.379183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-25 460
100.0%

Missing values

2023-12-12T19:30:09.846322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:30:09.986521image/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

회사명전화번호생산품공장대표주소업종명데이터기준일자
0(유)정우조경시설064-712-8191퍼걸러·옥외용벤치·운동시설제주특별자치도 제주시 선반로8길 5-3놀이터용 장비 제조업 외 1 종2021-08-25
1(재)제주테크노파크064-720-2300화장품· 치약· 비누제주특별자치도 제주시 산천단동길 16화장품 제조업 외 3 종2021-08-25
2(재)제주테크노파크(제2공장)064-720-2300식품제주특별자치도 제주시 제주대학로 102그 외 기타 식료품 제조업 외 13 종2021-08-25
3(제)이시돌농촌산업개발협회-이시돌사료공장064-796-2343배합사료제주특별자치도 제주시 한림읍 귀덕14길 73배합 사료 제조업 외 1 종2021-08-25
4(주) 정우064-712-7577철물제작제주특별자치도 제주시 조공포길 61플라스틱 창호 제조업2021-08-25
5(주)건국064-726-1047간판·현수막·도로표지판·알루미늄창호제주특별자치도 제주시 화남로 60간판 및 광고물 제조업 외 2 종2021-08-25
6(주)그린윈드<NA>풍력터빈센서· 풍향계· 풍속센서제주특별자치도 제주시 고마로 9전자감지장치 제조업2021-08-25
7(주)금강축산유통064-713-3010돈육·우육·양념육제주특별자치도 제주시 서해안로 167육류 기타 가공 및 저장처리업 (가금류 제외) 외 1 종2021-08-25
8(주)다올산업064-782-5600플라스틱발포성형제품(과수용 포장제)제주특별자치도 제주시 조천읍 미래로 189폴리스티렌 발포 성형제품 제조업 외 2 종2021-08-25
9(주)다음에너지064-759-7783진단장비제주특별자치도 제주시 연삼로 830그 외 기타 전자부품 제조업 외 1 종2021-08-25
회사명전화번호생산품공장대표주소업종명데이터기준일자
450해어림산지가공064-782-1358갈치포·고등어살·어간장(액젓)제주특별자치도 제주시 구좌읍 일주동로 3747수산동물 건조 및 염장품 제조업2021-08-25
451향아수산영어조합법인064-748-3266수산물제주특별자치도 제주시 도리로 67기타 수산동물 가공 및 저장 처리업 외 1 종2021-08-25
452현대건업(주)064-756-3398도로 미끄럼 포장재제주특별자치도 제주시 연삼로 762일반용 도료 및 관련제품 제조업 외 1 종2021-08-25
453현대기계공업(주)064-725-1201선박구성부품· 엔진제주특별자치도 제주시 청풍남6길 45선박 구성 부분품 제조업 외 4 종2021-08-25
454현대바이오영농조합법인064-782-7600감귤분말제주특별자치도 제주시 구좌읍 상도리 994기타 과실ㆍ채소 가공 및 저장 처리업2021-08-25
455협신산전(주)064-702-4166배전반· 전기자동제어반·프로세스제어반제주특별자치도 제주시 화남로 59배전반 및 전기 자동제어반 제조업 외 6 종2021-08-25
456화수<NA>LED경관조명기구· 도로표지병· 볼라드· 시선유도봉제주특별자치도 제주시 연삼로 787그 외 기타 플라스틱 제품 제조업 외 5 종2021-08-25
457화수<NA>LED경관조명기구· 도로표지병제주특별자치도 제주시 전농로 115일반용 전기 조명장치 제조업 외 3 종2021-08-25
458효성산업(주)064-721-0091샌드위치판엘제주특별자치도 제주시 조천읍 미래로 200기타 구조용 금속제품 제조업2021-08-25
459희망나래일터064-751-5152인쇄업· 출판업제주특별자치도 제주시 중앙로 175경 인쇄업 외 1 종2021-08-25