Overview

Dataset statistics

Number of variables7
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory58.5 B

Variable types

Text4
Categorical3

Dataset

Description제조업(주방가구 싱크대 제조업) 현황 20140904기준
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15054997&dataSetDetailId=1505499729cd795e152d6_201705301557&provdMethod=FILE

Alerts

설립구분 is highly overall correlated with 단지명 and 1 other fieldsHigh correlation
단지명 is highly overall correlated with 설립구분 and 1 other fieldsHigh correlation
공장우편번호 is highly overall correlated with 단지명 and 1 other fieldsHigh correlation
공장대표주소 has unique valuesUnique
공장대표주소(지번) has unique valuesUnique

Reproduction

Analysis started2024-04-17 21:10:03.319834
Analysis finished2024-04-17 21:10:04.083732
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct52
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-18T06:10:04.214934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length6.245283
Min length3

Characters and Unicode

Total characters331
Distinct characters114
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

Unique51 ?
Unique (%)96.2%

Sample

1st row(주)거산케이앤씨
2nd row(주)꿈그린
3rd row(주)대경테크코리아
4th row(주)대원경금속
5th row(주)동신금속
ValueCountFrequency (%)
매직쉐프 2
 
3.8%
주)거산케이앤씨 1
 
1.9%
씨앤에이치시스템 1
 
1.9%
주)꿈그린 1
 
1.9%
동경산업 1
 
1.9%
동아주방 1
 
1.9%
동양스텐종합주방 1
 
1.9%
미광종합주방백화점 1
 
1.9%
삼우냉동주방 1
 
1.9%
새한종합주방 1
 
1.9%
Other values (42) 42
79.2%
2024-04-18T06:10:04.500689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 30
 
9.1%
( 17
 
5.1%
) 17
 
5.1%
방 13
 
3.9%
업 11
 
3.3%
산 10
 
3.0%
합 9
 
2.7%
대 9
 
2.7%
종 8
 
2.4%
스 7
 
2.1%
Other values (104) 200
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
87.9%
Open Punctuation 17
 
5.1%
Close Punctuation 17
 
5.1%
Uppercase Letter 5
 
1.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 30
 
10.3%
방 13
 
4.5%
업 11
 
3.8%
산 10
 
3.4%
합 9
 
3.1%
대 9
 
3.1%
종 8
 
2.7%
스 7
 
2.4%
이 7
 
2.4%
경 7
 
2.4%
Other values (96) 180
61.9%
Uppercase Letter
ValueCountFrequency (%)
D 1
20.0%
I 1
20.0%
K 1
20.0%
M 1
20.0%
R 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
87.9%
Common 35
 
10.6%
Latin 5
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 30
 
10.3%
방 13
 
4.5%
업 11
 
3.8%
산 10
 
3.4%
합 9
 
3.1%
대 9
 
3.1%
종 8
 
2.7%
스 7
 
2.4%
이 7
 
2.4%
경 7
 
2.4%
Other values (96) 180
61.9%
Latin
ValueCountFrequency (%)
D 1
20.0%
I 1
20.0%
K 1
20.0%
M 1
20.0%
R 1
20.0%
Common
ValueCountFrequency (%)
( 17
48.6%
) 17
48.6%
& 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 291
87.9%
ASCII 40
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 30
 
10.3%
방 13
 
4.5%
업 11
 
3.8%
산 10
 
3.4%
합 9
 
3.1%
대 9
 
3.1%
종 8
 
2.7%
스 7
 
2.4%
이 7
 
2.4%
경 7
 
2.4%
Other values (96) 180
61.9%
ASCII
ValueCountFrequency (%)
( 17
42.5%
) 17
42.5%
D 1
 
2.5%
I 1
 
2.5%
K 1
 
2.5%
M 1
 
2.5%
& 1
 
2.5%
R 1
 
2.5%

단지명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
31 
성서지방산업단지
13 
북구검단지방산업단지
7 
달성지방산업단지
 
2

Length

Max length10
Median length1
Mean length4.1698113
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row달성지방산업단지
3rd row성서지방산업단지
4th row성서지방산업단지
5th row성서지방산업단지

Common Values

ValueCountFrequency (%)
31
58.5%
성서지방산업단지 13
24.5%
북구검단지방산업단지 7
 
13.2%
달성지방산업단지 2
 
3.8%

Length

2024-04-18T06:10:04.604964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:10:04.681334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성서지방산업단지 13
59.1%
북구검단지방산업단지 7
31.8%
달성지방산업단지 2
 
9.1%

설립구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
일반
31 
일반산업단지
22 

Length

Max length6
Median length2
Mean length3.6603774
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row일반산업단지
3rd row일반산업단지
4th row일반산업단지
5th row일반산업단지

Common Values

ValueCountFrequency (%)
일반 31
58.5%
일반산업단지 22
41.5%

Length

2024-04-18T06:10:04.777114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:10:04.857286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 31
58.5%
일반산업단지 22
41.5%

생산품
Text

Distinct44
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-18T06:10:05.001872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.0566038
Min length3

Characters and Unicode

Total characters374
Distinct characters67
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)71.7%

Sample

1st row주방용기
2nd row주방용가구
3rd row위생흡수시트, 주방위생용금속제품
4th row알미늄주방용품
5th row자동차부품,주방기기부품
ValueCountFrequency (%)
주방용품 7
 
9.9%
등 5
 
7.0%
주방기구 5
 
7.0%
주방용기 3
 
4.2%
싱크대 3
 
4.2%
주방기구등 2
 
2.8%
주방가구 2
 
2.8%
주방기기 2
 
2.8%
알루미늄 2
 
2.8%
알미늄 2
 
2.8%
Other values (37) 38
53.5%
2024-04-18T06:10:05.292815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
방 46
 
12.3%
주 45
 
12.0%
기 34
 
9.1%
용 26
 
7.0%
구 21
 
5.6%
18
 
4.8%
품 17
 
4.5%
, 14
 
3.7%
크 10
 
2.7%
등 9
 
2.4%
Other values (57) 134
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
90.6%
Space Separator 18
 
4.8%
Other Punctuation 15
 
4.0%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 46
 
13.6%
주 45
 
13.3%
기 34
 
10.0%
용 26
 
7.7%
구 21
 
6.2%
품 17
 
5.0%
크 10
 
2.9%
등 9
 
2.7%
가 8
 
2.4%
제 7
 
2.1%
Other values (52) 116
34.2%
Other Punctuation
ValueCountFrequency (%)
, 14
93.3%
. 1
 
6.7%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
90.6%
Common 35
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 46
 
13.6%
주 45
 
13.3%
기 34
 
10.0%
용 26
 
7.7%
구 21
 
6.2%
품 17
 
5.0%
크 10
 
2.9%
등 9
 
2.7%
가 8
 
2.4%
제 7
 
2.1%
Other values (52) 116
34.2%
Common
ValueCountFrequency (%)
18
51.4%
, 14
40.0%
. 1
 
2.9%
( 1
 
2.9%
) 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
90.6%
ASCII 35
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
방 46
 
13.6%
주 45
 
13.3%
기 34
 
10.0%
용 26
 
7.7%
구 21
 
6.2%
품 17
 
5.0%
크 10
 
2.9%
등 9
 
2.7%
가 8
 
2.4%
제 7
 
2.1%
Other values (52) 116
34.2%
ASCII
ValueCountFrequency (%)
18
51.4%
, 14
40.0%
. 1
 
2.9%
( 1
 
2.9%
) 1
 
2.9%

공장우편번호
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
702-030
10 
702-010
6 
704-170
4 
702-050
4 
702-083
4 
Other values (21)
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique17 ?
Unique (%)32.1%

Sample

1st row702-010
2nd row711-857
3rd row704-170
4th row704-330
5th row704-220

Common Values

ValueCountFrequency (%)
702-030 10
18.9%
702-010 6
 
11.3%
704-170 4
 
7.5%
702-050 4
 
7.5%
702-083 4
 
7.5%
703-090 2
 
3.8%
704-330 2
 
3.8%
703-040 2
 
3.8%
704-190 2
 
3.8%
702-062 1
 
1.9%
Other values (16) 16
30.2%

Length

2024-04-18T06:10:05.398881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
702-030 10
18.9%
702-010 6
 
11.3%
704-170 4
 
7.5%
702-050 4
 
7.5%
702-083 4
 
7.5%
703-040 2
 
3.8%
704-190 2
 
3.8%
704-330 2
 
3.8%
703-090 2
 
3.8%
703-110 1
 
1.9%
Other values (16) 16
30.2%

공장대표주소
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-18T06:10:05.671760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length43
Mean length30.018868
Min length22

Characters and Unicode

Total characters1591
Distinct characters104
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

Unique53 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 검단공단로21길 50-17 (산격동)
2nd row대구광역시 달성군 논공읍 논공중앙로52길 39
3rd row대구광역시 달서구 갈산동 972번지 1차단지 50B 1-1
4th row대구광역시 달서구 달서대로64길 38, (2차단지 54B 18L) (대천동)
5th row대구광역시 달서구 호산로 37-19, (3차단지 76B 2L) (파호동)
ValueCountFrequency (%)
대구광역시 53
 
16.9%
북구 27
 
8.6%
달서구 13
 
4.2%
검단동 10
 
3.2%
1차단지 7
 
2.2%
산격동 6
 
1.9%
2차단지 5
 
1.6%
서구 5
 
1.6%
동구 4
 
1.3%
노원동3가 4
 
1.3%
Other values (149) 179
57.2%
2024-04-18T06:10:06.057837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
 
17.1%
구 103
 
6.5%
동 61
 
3.8%
대 59
 
3.7%
1 56
 
3.5%
( 55
 
3.5%
) 55
 
3.5%
광 54
 
3.4%
시 53
 
3.3%
역 53
 
3.3%
Other values (94) 770
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 857
53.9%
Decimal Number 282
 
17.7%
Space Separator 272
 
17.1%
Open Punctuation 55
 
3.5%
Close Punctuation 55
 
3.5%
Dash Punctuation 28
 
1.8%
Uppercase Letter 26
 
1.6%
Other Punctuation 16
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 103
 
12.0%
동 61
 
7.1%
대 59
 
6.9%
광 54
 
6.3%
시 53
 
6.2%
역 53
 
6.2%
단 53
 
6.2%
로 53
 
6.2%
길 34
 
4.0%
서 30
 
3.5%
Other values (75) 304
35.5%
Decimal Number
ValueCountFrequency (%)
1 56
19.9%
3 43
15.2%
2 43
15.2%
4 27
9.6%
7 24
8.5%
6 21
 
7.4%
8 19
 
6.7%
9 17
 
6.0%
5 17
 
6.0%
0 15
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 13
50.0%
L 12
46.2%
A 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 15
93.8%
/ 1
 
6.2%
Space Separator
ValueCountFrequency (%)
272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 857
53.9%
Common 708
44.5%
Latin 26
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 103
 
12.0%
동 61
 
7.1%
대 59
 
6.9%
광 54
 
6.3%
시 53
 
6.2%
역 53
 
6.2%
단 53
 
6.2%
로 53
 
6.2%
길 34
 
4.0%
서 30
 
3.5%
Other values (75) 304
35.5%
Common
ValueCountFrequency (%)
272
38.4%
1 56
 
7.9%
( 55
 
7.8%
) 55
 
7.8%
3 43
 
6.1%
2 43
 
6.1%
- 28
 
4.0%
4 27
 
3.8%
7 24
 
3.4%
6 21
 
3.0%
Other values (6) 84
 
11.9%
Latin
ValueCountFrequency (%)
B 13
50.0%
L 12
46.2%
A 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 857
53.9%
ASCII 734
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
37.1%
1 56
 
7.6%
( 55
 
7.5%
) 55
 
7.5%
3 43
 
5.9%
2 43
 
5.9%
- 28
 
3.8%
4 27
 
3.7%
7 24
 
3.3%
6 21
 
2.9%
Other values (9) 110
15.0%
Hangul
ValueCountFrequency (%)
구 103
 
12.0%
동 61
 
7.1%
대 59
 
6.9%
광 54
 
6.3%
시 53
 
6.2%
역 53
 
6.2%
단 53
 
6.2%
로 53
 
6.2%
길 34
 
4.0%
서 30
 
3.5%
Other values (75) 304
35.5%

공장대표주소(지번)
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-04-18T06:10:06.279482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length23.09434
Min length19

Characters and Unicode

Total characters1224
Distinct characters73
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

Unique53 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 산격동 14-30번지
2nd row대구광역시 달성군 논공읍 북리 1-74번지
3rd row대구광역시 달서구 갈산동 972번지 1차단지 50B 1-1
4th row대구광역시 달서구 대천동 665번지 (2차단지 54B 18L)
5th row대구광역시 달서구 파호동 204-1번지
ValueCountFrequency (%)
대구광역시 53
22.4%
북구 27
 
11.4%
달서구 13
 
5.5%
검단동 10
 
4.2%
산격동 6
 
2.5%
갈산동 5
 
2.1%
서구 5
 
2.1%
노원동3가 4
 
1.7%
번지 4
 
1.7%
침산동 4
 
1.7%
Other values (92) 106
44.7%
2024-04-18T06:10:06.612453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
17.3%
구 103
 
8.4%
지 59
 
4.8%
1 58
 
4.7%
동 56
 
4.6%
대 55
 
4.5%
광 54
 
4.4%
시 53
 
4.3%
역 53
 
4.3%
번 53
 
4.3%
Other values (63) 468
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 687
56.1%
Decimal Number 266
 
21.7%
Space Separator 212
 
17.3%
Dash Punctuation 47
 
3.8%
Uppercase Letter 9
 
0.7%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 103
15.0%
지 59
 
8.6%
동 56
 
8.2%
대 55
 
8.0%
광 54
 
7.9%
시 53
 
7.7%
역 53
 
7.7%
번 53
 
7.7%
북 28
 
4.1%
서 18
 
2.6%
Other values (46) 155
22.6%
Decimal Number
ValueCountFrequency (%)
1 58
21.8%
2 39
14.7%
0 27
10.2%
3 23
 
8.6%
7 22
 
8.3%
6 22
 
8.3%
8 22
 
8.3%
4 19
 
7.1%
9 19
 
7.1%
5 15
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 5
55.6%
L 4
44.4%
Space Separator
ValueCountFrequency (%)
212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 687
56.1%
Common 528
43.1%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 103
15.0%
지 59
 
8.6%
동 56
 
8.2%
대 55
 
8.0%
광 54
 
7.9%
시 53
 
7.7%
역 53
 
7.7%
번 53
 
7.7%
북 28
 
4.1%
서 18
 
2.6%
Other values (46) 155
22.6%
Common
ValueCountFrequency (%)
212
40.2%
1 58
 
11.0%
- 47
 
8.9%
2 39
 
7.4%
0 27
 
5.1%
3 23
 
4.4%
7 22
 
4.2%
6 22
 
4.2%
8 22
 
4.2%
4 19
 
3.6%
Other values (5) 37
 
7.0%
Latin
ValueCountFrequency (%)
B 5
55.6%
L 4
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 687
56.1%
ASCII 537
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
39.5%
1 58
 
10.8%
- 47
 
8.8%
2 39
 
7.3%
0 27
 
5.0%
3 23
 
4.3%
7 22
 
4.1%
6 22
 
4.1%
8 22
 
4.1%
4 19
 
3.5%
Other values (7) 46
 
8.6%
Hangul
ValueCountFrequency (%)
구 103
15.0%
지 59
 
8.6%
동 56
 
8.2%
대 55
 
8.0%
광 54
 
7.9%
시 53
 
7.7%
역 53
 
7.7%
번 53
 
7.7%
북 28
 
4.1%
서 18
 
2.6%
Other values (46) 155
22.6%

Correlations

2024-04-18T06:10:07.080422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명단지명설립구분생산품공장우편번호공장대표주소공장대표주소(지번)
회사명1.0001.0001.0000.9930.9731.0001.000
단지명1.0001.0001.0000.9350.9681.0001.000
설립구분1.0001.0001.0000.4110.9461.0001.000
생산품0.9930.9350.4111.0000.0001.0001.000
공장우편번호0.9730.9680.9460.0001.0001.0001.000
공장대표주소1.0001.0001.0001.0001.0001.0001.000
공장대표주소(지번)1.0001.0001.0001.0001.0001.0001.000
2024-04-18T06:10:07.162019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립구분단지명공장우편번호
설립구분1.0000.9800.603
단지명0.9801.0000.649
공장우편번호0.6030.6491.000
2024-04-18T06:10:07.229786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명설립구분공장우편번호
단지명1.0000.9800.649
설립구분0.9801.0000.603
공장우편번호0.6490.6031.000

Missing values

2024-04-18T06:10:04.048545image/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

회사명단지명설립구분생산품공장우편번호공장대표주소공장대표주소(지번)
0(주)거산케이앤씨일반주방용기702-010대구광역시 북구 검단공단로21길 50-17 (산격동)대구광역시 북구 산격동 14-30번지
1(주)꿈그린달성지방산업단지일반산업단지주방용가구711-857대구광역시 달성군 논공읍 논공중앙로52길 39대구광역시 달성군 논공읍 북리 1-74번지
2(주)대경테크코리아성서지방산업단지일반산업단지위생흡수시트, 주방위생용금속제품704-170대구광역시 달서구 갈산동 972번지 1차단지 50B 1-1대구광역시 달서구 갈산동 972번지 1차단지 50B 1-1
3(주)대원경금속성서지방산업단지일반산업단지알미늄주방용품704-330대구광역시 달서구 달서대로64길 38, (2차단지 54B 18L) (대천동)대구광역시 달서구 대천동 665번지 (2차단지 54B 18L)
4(주)동신금속성서지방산업단지일반산업단지자동차부품,주방기기부품704-220대구광역시 달서구 호산로 37-19, (3차단지 76B 2L) (파호동)대구광역시 달서구 파호동 204-1번지
5(주)범창케이에프성서지방산업단지일반산업단지싱크대 도어제조(도장)704-190대구광역시 달서구 성서공단로55길 31, 1차단지 107B 7-3L (장동)대구광역시 달서구 장동 306-143번지
6(주)비에스케이일반주방기구 , 놀이기구702-050대구광역시 북구 오봉로18길 12 (침산동)대구광역시 북구 침산동 1251-1번지
7(주)신우티에스일반상업용주방기구,구조물 등703-040대구광역시 서구 팔달로 72-10 (비산동)대구광역시 서구 비산동 1487-9번지
8(주)억조종합주방일반주방기구등702-010대구광역시 북구 유통단지로3길 68-4 (산격동)대구광역시 북구 산격동 316-25번지
9(주)엠엘씨일반주방용품702-250대구광역시 북구 동천로 128-9, 부광빌딩4층 (동천동)대구광역시 북구 동천동 898-2번지 부광빌딩4층
회사명단지명설립구분생산품공장우편번호공장대표주소공장대표주소(지번)
43욱일공업사일반알루미늄,주방용품702-083대구광역시 북구 노원로1길 90 (노원동3가)대구광역시 북구 노원동3가 229번지
44유성산업일반주방용기등702-030대구광역시 북구 검단공단로17길 17 (검단동)대구광역시 북구 검단동 571-1번지
45이숲영농조합법인달성지방산업단지일반산업단지주방세제,액체세탁세제711-855대구광역시 달성군 논공읍 논공중앙로 406대구광역시 달성군 논공읍 본리리 29-69번지
46제일씽크일반주방용씽크701-030대구광역시 동구 효목로5길 34-2 (효목동)대구광역시 동구 효목동 437-1번지
47태일산업북구검단지방산업단지일반산업단지산업용주방기기702-030대구광역시 북구 검단로31길 36-9 (검단동)대구광역시 북구 검단동 777-12번지
48한보산업사일반주방용품703-040대구광역시 서구 염색공단천로6길 8 (비산동)대구광역시 서구 비산동 2001-11번지
49한샘KID키친프라자일반주방가구702-030대구광역시 북구 검단공단로21길 18 (검단동)대구광역시 북구 검단동 505-4번지
50한영종합주방북구검단지방산업단지일반산업단지주방용기구 및 금속 가구702-030대구광역시 북구 검단공단로 58 (검단동)대구광역시 북구 검단동 887-120번지
51형제스텐일반방화창,주방기기701-040대구광역시 동구 해동로 209-2 (검사동)대구광역시 동구 검사동 962-19번지
52황제경금속일반알루미늄 주방기물702-083대구광역시 북구 노원로1길 182 (노원동3가)대구광역시 북구 노원동3가 42번지