Overview

Dataset statistics

Number of variables6
Number of observations2083
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory99.8 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description대구광역시 북구 관내 운영중인 공장등록 (회사명, 단지명, 공장대표주소, 생산품, 데이터기준일자 등) 현황 정보를 제공합니다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15006297/fileData.do

Alerts

데이터표준일자 has constant value ""Constant
연번 is highly overall correlated with 단지명High correlation
단지명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:35:37.568459
Analysis finished2023-12-12 11:35:39.244574
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2083
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1042
Minimum1
Maximum2083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.4 KiB
2023-12-12T20:35:39.381563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile105.1
Q1521.5
median1042
Q31562.5
95-th percentile1978.9
Maximum2083
Range2082
Interquartile range (IQR)1041

Descriptive statistics

Standard deviation601.45463
Coefficient of variation (CV)0.57721173
Kurtosis-1.2
Mean1042
Median Absolute Deviation (MAD)521
Skewness0
Sum2170486
Variance361747.67
MonotonicityStrictly increasing
2023-12-12T20:35:39.658843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1401 1
 
< 0.1%
1399 1
 
< 0.1%
1398 1
 
< 0.1%
1397 1
 
< 0.1%
1396 1
 
< 0.1%
1395 1
 
< 0.1%
1394 1
 
< 0.1%
1393 1
 
< 0.1%
1392 1
 
< 0.1%
Other values (2073) 2073
99.5%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2083 1
< 0.1%
2082 1
< 0.1%
2081 1
< 0.1%
2080 1
< 0.1%
2079 1
< 0.1%
2078 1
< 0.1%
2077 1
< 0.1%
2076 1
< 0.1%
2075 1
< 0.1%
2074 1
< 0.1%

회사명
Text

Distinct1962
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2023-12-12T20:35:40.115862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length6.0513682
Min length2

Characters and Unicode

Total characters12605
Distinct characters512
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

Unique1858 ?
Unique (%)89.2%

Sample

1st row(주)G.M식품
2nd row(주)거산케이앤씨
3rd row(주)건영크리너
4th row(주)경진T&C
5th row(주)고려금속
ValueCountFrequency (%)
주식회사 101
 
4.5%
제2공장 6
 
0.3%
세명테크 4
 
0.2%
주)청운테크 4
 
0.2%
대성공업사 4
 
0.2%
혜성정공 4
 
0.2%
건영산업(주 3
 
0.1%
경일산업 3
 
0.1%
주)우방하이테크 3
 
0.1%
주)보성기계 3
 
0.1%
Other values (1988) 2109
94.0%
2023-12-12T20:35:40.832861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 670
 
5.3%
( 571
 
4.5%
) 571
 
4.5%
업 407
 
3.2%
이 336
 
2.7%
사 308
 
2.4%
성 302
 
2.4%
산 286
 
2.3%
공 275
 
2.2%
정 273
 
2.2%
Other values (502) 8606
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10907
86.5%
Open Punctuation 571
 
4.5%
Close Punctuation 571
 
4.5%
Uppercase Letter 283
 
2.2%
Space Separator 164
 
1.3%
Other Punctuation 42
 
0.3%
Decimal Number 31
 
0.2%
Lowercase Letter 29
 
0.2%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 670
 
6.1%
업 407
 
3.7%
이 336
 
3.1%
사 308
 
2.8%
성 302
 
2.8%
산 286
 
2.6%
공 275
 
2.5%
정 273
 
2.5%
대 245
 
2.2%
스 237
 
2.2%
Other values (448) 7568
69.4%
Uppercase Letter
ValueCountFrequency (%)
E 28
 
9.9%
N 26
 
9.2%
C 23
 
8.1%
M 22
 
7.8%
G 21
 
7.4%
T 19
 
6.7%
K 18
 
6.4%
S 16
 
5.7%
H 14
 
4.9%
D 12
 
4.2%
Other values (13) 84
29.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.2%
d 2
 
6.9%
t 2
 
6.9%
o 2
 
6.9%
a 2
 
6.9%
r 2
 
6.9%
i 2
 
6.9%
m 2
 
6.9%
c 2
 
6.9%
w 1
 
3.4%
Other values (7) 7
24.1%
Decimal Number
ValueCountFrequency (%)
2 19
61.3%
1 5
 
16.1%
9 3
 
9.7%
7 1
 
3.2%
4 1
 
3.2%
6 1
 
3.2%
3 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 25
59.5%
& 15
35.7%
, 2
 
4.8%
Open Punctuation
ValueCountFrequency (%)
( 571
100.0%
Close Punctuation
ValueCountFrequency (%)
) 571
100.0%
Space Separator
ValueCountFrequency (%)
164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10907
86.5%
Common 1386
 
11.0%
Latin 312
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 670
 
6.1%
업 407
 
3.7%
이 336
 
3.1%
사 308
 
2.8%
성 302
 
2.8%
산 286
 
2.6%
공 275
 
2.5%
정 273
 
2.5%
대 245
 
2.2%
스 237
 
2.2%
Other values (448) 7568
69.4%
Latin
ValueCountFrequency (%)
E 28
 
9.0%
N 26
 
8.3%
C 23
 
7.4%
M 22
 
7.1%
G 21
 
6.7%
T 19
 
6.1%
K 18
 
5.8%
S 16
 
5.1%
H 14
 
4.5%
D 12
 
3.8%
Other values (30) 113
36.2%
Common
ValueCountFrequency (%)
( 571
41.2%
) 571
41.2%
164
 
11.8%
. 25
 
1.8%
2 19
 
1.4%
& 15
 
1.1%
- 7
 
0.5%
1 5
 
0.4%
9 3
 
0.2%
, 2
 
0.1%
Other values (4) 4
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10907
86.5%
ASCII 1698
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 670
 
6.1%
업 407
 
3.7%
이 336
 
3.1%
사 308
 
2.8%
성 302
 
2.8%
산 286
 
2.6%
공 275
 
2.5%
정 273
 
2.5%
대 245
 
2.2%
스 237
 
2.2%
Other values (448) 7568
69.4%
ASCII
ValueCountFrequency (%)
( 571
33.6%
) 571
33.6%
164
 
9.7%
E 28
 
1.6%
N 26
 
1.5%
. 25
 
1.5%
C 23
 
1.4%
M 22
 
1.3%
G 21
 
1.2%
2 19
 
1.1%
Other values (44) 228
 
13.4%

단지명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
대구제3일반산업단지
884 
<NA>
792 
북구검단지방산업단지
407 

Length

Max length10
Median length10
Mean length7.718675
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
대구제3일반산업단지 884
42.4%
<NA> 792
38.0%
북구검단지방산업단지 407
19.5%

Length

2023-12-12T20:35:41.122773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:35:41.339283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구제3일반산업단지 884
42.4%
na 792
38.0%
북구검단지방산업단지 407
19.5%

공장대표주소(도로명)
Text

Distinct1811
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2023-12-12T20:35:41.900369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length52
Mean length26.630341
Min length18

Characters and Unicode

Total characters55471
Distinct characters198
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

Unique1619 ?
Unique (%)77.7%

Sample

1st row대구광역시 북구 노원로47길 20 (침산동)
2nd row대구광역시 북구 검단북로2길 9-9 (산격동)
3rd row대구광역시 북구 환성정길 20-8 (서변동)
4th row대구광역시 북구 침산로67길 46 (침산동)
5th row대구광역시 북구 노원동로7길 14 (노원동3가) 외 1필지
ValueCountFrequency (%)
대구광역시 2083
18.9%
북구 2083
18.9%
노원동3가 993
 
9.0%
검단동 455
 
4.1%
침산동 283
 
2.6%
3공단로 163
 
1.5%
산격동 144
 
1.3%
노원로1길 133
 
1.2%
검단로 102
 
0.9%
검단로31길 98
 
0.9%
Other values (1228) 4470
40.6%
2023-12-12T20:35:42.889806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8925
 
16.1%
구 4181
 
7.5%
동 2365
 
4.3%
북 2311
 
4.2%
1 2307
 
4.2%
3 2198
 
4.0%
대 2155
 
3.9%
시 2090
 
3.8%
광 2088
 
3.8%
역 2083
 
3.8%
Other values (188) 24768
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31328
56.5%
Decimal Number 10017
 
18.1%
Space Separator 8925
 
16.1%
Close Punctuation 2081
 
3.8%
Open Punctuation 2081
 
3.8%
Dash Punctuation 757
 
1.4%
Other Punctuation 255
 
0.5%
Uppercase Letter 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4181
13.3%
동 2365
 
7.5%
북 2311
 
7.4%
대 2155
 
6.9%
시 2090
 
6.7%
광 2088
 
6.7%
역 2083
 
6.6%
로 2055
 
6.6%
원 1637
 
5.2%
노 1636
 
5.2%
Other values (167) 8727
27.9%
Decimal Number
ValueCountFrequency (%)
1 2307
23.0%
3 2198
21.9%
2 1223
12.2%
7 747
 
7.5%
4 731
 
7.3%
5 693
 
6.9%
6 623
 
6.2%
0 552
 
5.5%
8 490
 
4.9%
9 453
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
T 8
29.6%
I 8
29.6%
B 6
22.2%
A 4
14.8%
D 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 252
98.8%
. 3
 
1.2%
Space Separator
ValueCountFrequency (%)
8925
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2081
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2081
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 757
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31328
56.5%
Common 24116
43.5%
Latin 27
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4181
13.3%
동 2365
 
7.5%
북 2311
 
7.4%
대 2155
 
6.9%
시 2090
 
6.7%
광 2088
 
6.7%
역 2083
 
6.6%
로 2055
 
6.6%
원 1637
 
5.2%
노 1636
 
5.2%
Other values (167) 8727
27.9%
Common
ValueCountFrequency (%)
8925
37.0%
1 2307
 
9.6%
3 2198
 
9.1%
) 2081
 
8.6%
( 2081
 
8.6%
2 1223
 
5.1%
- 757
 
3.1%
7 747
 
3.1%
4 731
 
3.0%
5 693
 
2.9%
Other values (6) 2373
 
9.8%
Latin
ValueCountFrequency (%)
T 8
29.6%
I 8
29.6%
B 6
22.2%
A 4
14.8%
D 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31328
56.5%
ASCII 24143
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8925
37.0%
1 2307
 
9.6%
3 2198
 
9.1%
) 2081
 
8.6%
( 2081
 
8.6%
2 1223
 
5.1%
- 757
 
3.1%
7 747
 
3.1%
4 731
 
3.0%
5 693
 
2.9%
Other values (11) 2400
 
9.9%
Hangul
ValueCountFrequency (%)
구 4181
13.3%
동 2365
 
7.5%
북 2311
 
7.4%
대 2155
 
6.9%
시 2090
 
6.7%
광 2088
 
6.7%
역 2083
 
6.6%
로 2055
 
6.6%
원 1637
 
5.2%
노 1636
 
5.2%
Other values (167) 8727
27.9%

생산품
Text

Distinct1560
Distinct (%)75.0%
Missing3
Missing (%)0.1%
Memory size16.4 KiB
2023-12-12T20:35:43.501308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length31
Mean length7.7182692
Min length1

Characters and Unicode

Total characters16054
Distinct characters582
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

Unique1438 ?
Unique (%)69.1%

Sample

1st row계육
2nd row주방조리기구
3rd row안경크리너
4th row합성 수지,섬유코팅제
5th row자동차부품
ValueCountFrequency (%)
자동차부품 115
 
3.6%
등 87
 
2.8%
기계부품 78
 
2.5%
안경테 72
 
2.3%
금형 65
 
2.1%
및 65
 
2.1%
부품 53
 
1.7%
자동차 43
 
1.4%
도금 38
 
1.2%
배전반 28
 
0.9%
Other values (1835) 2519
79.6%
2023-12-12T20:35:44.384133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1091
 
6.8%
기 762
 
4.7%
, 760
 
4.7%
품 700
 
4.4%
부 549
 
3.4%
자 463
 
2.9%
동 374
 
2.3%
계 332
 
2.1%
차 310
 
1.9%
금 275
 
1.7%
Other values (572) 10438
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13455
83.8%
Space Separator 1091
 
6.8%
Other Punctuation 786
 
4.9%
Uppercase Letter 337
 
2.1%
Open Punctuation 137
 
0.9%
Close Punctuation 137
 
0.9%
Lowercase Letter 103
 
0.6%
Decimal Number 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 762
 
5.7%
품 700
 
5.2%
부 549
 
4.1%
자 463
 
3.4%
동 374
 
2.8%
계 332
 
2.5%
차 310
 
2.3%
금 275
 
2.0%
공 237
 
1.8%
제 231
 
1.7%
Other values (513) 9222
68.5%
Uppercase Letter
ValueCountFrequency (%)
C 44
13.1%
E 39
11.6%
D 38
11.3%
L 32
9.5%
T 29
 
8.6%
R 23
 
6.8%
V 20
 
5.9%
P 14
 
4.2%
A 13
 
3.9%
O 11
 
3.3%
Other values (15) 74
22.0%
Lowercase Letter
ValueCountFrequency (%)
e 14
13.6%
l 12
11.7%
o 12
11.7%
p 11
10.7%
c 7
 
6.8%
r 7
 
6.8%
t 6
 
5.8%
n 5
 
4.9%
i 4
 
3.9%
d 3
 
2.9%
Other values (11) 22
21.4%
Other Punctuation
ValueCountFrequency (%)
, 760
96.7%
. 14
 
1.8%
/ 7
 
0.9%
· 3
 
0.4%
' 1
 
0.1%
& 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
1 1
 
20.0%
5 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1091
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13455
83.8%
Common 2159
 
13.4%
Latin 440
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 762
 
5.7%
품 700
 
5.2%
부 549
 
4.1%
자 463
 
3.4%
동 374
 
2.8%
계 332
 
2.5%
차 310
 
2.3%
금 275
 
2.0%
공 237
 
1.8%
제 231
 
1.7%
Other values (513) 9222
68.5%
Latin
ValueCountFrequency (%)
C 44
 
10.0%
E 39
 
8.9%
D 38
 
8.6%
L 32
 
7.3%
T 29
 
6.6%
R 23
 
5.2%
V 20
 
4.5%
P 14
 
3.2%
e 14
 
3.2%
A 13
 
3.0%
Other values (36) 174
39.5%
Common
ValueCountFrequency (%)
1091
50.5%
, 760
35.2%
( 137
 
6.3%
) 137
 
6.3%
. 14
 
0.6%
/ 7
 
0.3%
- 3
 
0.1%
· 3
 
0.1%
3 3
 
0.1%
' 1
 
< 0.1%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13455
83.8%
ASCII 2596
 
16.2%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1091
42.0%
, 760
29.3%
( 137
 
5.3%
) 137
 
5.3%
C 44
 
1.7%
E 39
 
1.5%
D 38
 
1.5%
L 32
 
1.2%
T 29
 
1.1%
R 23
 
0.9%
Other values (48) 266
 
10.2%
Hangul
ValueCountFrequency (%)
기 762
 
5.7%
품 700
 
5.2%
부 549
 
4.1%
자 463
 
3.4%
동 374
 
2.8%
계 332
 
2.5%
차 310
 
2.3%
금 275
 
2.0%
공 237
 
1.8%
제 231
 
1.7%
Other values (513) 9222
68.5%
None
ValueCountFrequency (%)
· 3
100.0%

데이터표준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2021-07-23
2083 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-07-23
2nd row2021-07-23
3rd row2021-07-23
4th row2021-07-23
5th row2021-07-23

Common Values

ValueCountFrequency (%)
2021-07-23 2083
100.0%

Length

2023-12-12T20:35:44.646245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:35:44.837099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-23 2083
100.0%

Interactions

2023-12-12T20:35:38.721117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:35:44.959670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명
연번1.0000.858
단지명0.8581.000
2023-12-12T20:35:45.109545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단지명
연번1.0000.926
단지명0.9261.000

Missing values

2023-12-12T20:35:38.944280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:35:39.168566image/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

연번회사명단지명공장대표주소(도로명)생산품데이터표준일자
01(주)G.M식품<NA>대구광역시 북구 노원로47길 20 (침산동)계육2021-07-23
12(주)거산케이앤씨<NA>대구광역시 북구 검단북로2길 9-9 (산격동)주방조리기구2021-07-23
23(주)건영크리너<NA>대구광역시 북구 환성정길 20-8 (서변동)안경크리너2021-07-23
34(주)경진T&C<NA>대구광역시 북구 침산로67길 46 (침산동)합성 수지,섬유코팅제2021-07-23
45(주)고려금속<NA>대구광역시 북구 노원동로7길 14 (노원동3가) 외 1필지자동차부품2021-07-23
56(주)광림센서텍<NA>대구광역시 북구 연암로42길 24-5 (산격동)수위조절기2021-07-23
67(주)광명테크엠<NA>대구광역시 북구 팔달북로8길 38, (주)광명테크엠 (노원동3가)주형 금형2021-07-23
78(주)국보푸드시스템<NA>대구광역시 북구 연암로42길 5 (산격동)식육추출가공품,양념육2021-07-23
89(주)국제물류기계<NA>대구광역시 북구 매천로 13 (팔달동)물류취급장비2021-07-23
910(주)금룡테크<NA>대구광역시 북구 팔달북로8길 75 (노원동3가)전자석(마그네트)2021-07-23
연번회사명단지명공장대표주소(도로명)생산품데이터표준일자
20732074화인시스템(주)대구제3일반산업단지대구광역시 북구 팔달북로 96 (노원동3가)자동제어반2021-07-23
20742075화주기업.충무기계대구제3일반산업단지대구광역시 북구 노원로9길 70-9 (노원동3가)산업용세탁기2021-07-23
20752076화현도금대구제3일반산업단지대구광역시 북구 팔달로1길 46 (노원동3가)크리센탈 니켈도금2021-07-23
20762077황제경금속대구제3일반산업단지대구광역시 북구 노원로1길 182 (노원동3가)알루미늄 주방기물2021-07-23
20772078효창정밀대구제3일반산업단지대구광역시 북구 3공단로 155-18 (노원동3가)자동차부품2021-07-23
20782079훼스코정공대구제3일반산업단지대구광역시 북구 3공단로33길 17 (노원동3가)사료제조시설,식품가공기계.자동화설비2021-07-23
20792080흙사랑119대구제3일반산업단지대구광역시 북구 3공단로25길 15-3 (노원동3가)백철2021-07-23
20802081흥진하이텍대구제3일반산업단지대구광역시 북구 3공단로 210-2 (노원동3가)자동차부품2021-07-23
20812082희창기계대구제3일반산업단지대구광역시 북구 노원로9길 70 (노원동3가)섬유기계2021-07-23
20822083희현테크대구제3일반산업단지대구광역시 북구 3공단로 97-12 (노원동3가)기계부품2021-07-23