Overview

Dataset statistics

Number of variables7
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory58.6 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description경상북도 김천시에서 제공하는 제조업체등록 정보로, 단지명. 회사명, 주소, 전화번호 등을 포함합니다.
Author경상북도 김천시
URLhttps://www.data.go.kr/data/15048871/fileData.do

Alerts

단지명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:02:00.718067
Analysis finished2023-12-12 22:02:01.583183
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-13T07:02:01.650920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q122
median43
Q364
95-th percentile80.8
Maximum85
Range84
Interquartile range (IQR)42

Descriptive statistics

Standard deviation24.681302
Coefficient of variation (CV)0.57398377
Kurtosis-1.2
Mean43
Median Absolute Deviation (MAD)21
Skewness0
Sum3655
Variance609.16667
MonotonicityStrictly increasing
2023-12-13T07:02:01.767971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%

단지명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
김천제1일반산업단지
85 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김천제1일반산업단지
2nd row김천제1일반산업단지
3rd row김천제1일반산업단지
4th row김천제1일반산업단지
5th row김천제1일반산업단지

Common Values

ValueCountFrequency (%)
김천제1일반산업단지 85
100.0%

Length

2023-12-13T07:02:01.883019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:02:01.991259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김천제1일반산업단지 85
100.0%

회사명
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-13T07:02:02.189630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.6
Min length3

Characters and Unicode

Total characters731
Distinct characters159
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

Unique85 ?
Unique (%)100.0%

Sample

1st row(주)가람테크
2nd row(주)경성테크 김천공장
3rd row(주)골드테크
4th row(주)국민진공
5th row(주)나노코
ValueCountFrequency (%)
주식회사 18
 
15.5%
김천공장 3
 
2.6%
주)다원넥스트 3
 
2.6%
농업회사법인 2
 
1.7%
2공장 2
 
1.7%
영진하우징(주 1
 
0.9%
제이에이치화학공업(주 1
 
0.9%
제와이시스템(주 1
 
0.9%
자운산업(주 1
 
0.9%
일성기계공업(주 1
 
0.9%
Other values (83) 83
71.6%
2023-12-13T07:02:02.537843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
10.0%
( 56
 
7.7%
) 56
 
7.7%
32
 
4.4%
27
 
3.7%
20
 
2.7%
20
 
2.7%
20
 
2.7%
20
 
2.7%
14
 
1.9%
Other values (149) 393
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 571
78.1%
Open Punctuation 56
 
7.7%
Close Punctuation 56
 
7.7%
Space Separator 32
 
4.4%
Decimal Number 7
 
1.0%
Lowercase Letter 6
 
0.8%
Uppercase Letter 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
12.8%
27
 
4.7%
20
 
3.5%
20
 
3.5%
20
 
3.5%
20
 
3.5%
14
 
2.5%
13
 
2.3%
12
 
2.1%
11
 
1.9%
Other values (134) 341
59.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
16.7%
l 1
16.7%
i 1
16.7%
a 1
16.7%
s 1
16.7%
f 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 5
71.4%
3 1
 
14.3%
1 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
F 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 571
78.1%
Common 152
 
20.8%
Latin 8
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
12.8%
27
 
4.7%
20
 
3.5%
20
 
3.5%
20
 
3.5%
20
 
3.5%
14
 
2.5%
13
 
2.3%
12
 
2.1%
11
 
1.9%
Other values (134) 341
59.7%
Latin
ValueCountFrequency (%)
t 1
12.5%
l 1
12.5%
P 1
12.5%
i 1
12.5%
a 1
12.5%
s 1
12.5%
f 1
12.5%
F 1
12.5%
Common
ValueCountFrequency (%)
( 56
36.8%
) 56
36.8%
32
21.1%
2 5
 
3.3%
& 1
 
0.7%
3 1
 
0.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 571
78.1%
ASCII 160
 
21.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
73
 
12.8%
27
 
4.7%
20
 
3.5%
20
 
3.5%
20
 
3.5%
20
 
3.5%
14
 
2.5%
13
 
2.3%
12
 
2.1%
11
 
1.9%
Other values (134) 341
59.7%
ASCII
ValueCountFrequency (%)
( 56
35.0%
) 56
35.0%
32
20.0%
2 5
 
3.1%
t 1
 
0.6%
l 1
 
0.6%
P 1
 
0.6%
& 1
 
0.6%
i 1
 
0.6%
a 1
 
0.6%
Other values (5) 5
 
3.1%
Distinct75
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-13T07:02:02.773979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length23.282353
Min length20

Characters and Unicode

Total characters1979
Distinct characters66
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)77.6%

Sample

1st row경상북도 김천시 어모면 산업단지로 130
2nd row경상북도 김천시 어모면 산업단지7로 135
3rd row경상북도 김천시 어모면 산업단지3로 57
4th row경상북도 김천시 어모면 산업단지로 245
5th row경상북도 김천시 어모면 산업단지2로 55
ValueCountFrequency (%)
경상북도 85
19.4%
김천시 85
19.4%
어모면 83
18.9%
산업단지4로 17
 
3.9%
산업단지7로 15
 
3.4%
산업단지로 14
 
3.2%
산업단지1로 8
 
1.8%
산업단지6로 8
 
1.8%
남산리 6
 
1.4%
산업단지5로 5
 
1.1%
Other values (77) 113
25.7%
2023-12-13T07:02:03.144033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
354
17.9%
85
 
4.3%
85
 
4.3%
85
 
4.3%
85
 
4.3%
85
 
4.3%
85
 
4.3%
85
 
4.3%
85
 
4.3%
83
 
4.2%
Other values (56) 862
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1315
66.4%
Space Separator 354
 
17.9%
Decimal Number 290
 
14.7%
Dash Punctuation 7
 
0.4%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
83
 
6.3%
83
 
6.3%
Other values (41) 469
35.7%
Decimal Number
ValueCountFrequency (%)
1 46
15.9%
2 36
12.4%
3 31
10.7%
4 31
10.7%
5 30
10.3%
7 30
10.3%
6 29
10.0%
0 23
7.9%
9 20
6.9%
8 14
 
4.8%
Space Separator
ValueCountFrequency (%)
354
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1315
66.4%
Common 664
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
83
 
6.3%
83
 
6.3%
Other values (41) 469
35.7%
Common
ValueCountFrequency (%)
354
53.3%
1 46
 
6.9%
2 36
 
5.4%
3 31
 
4.7%
4 31
 
4.7%
5 30
 
4.5%
7 30
 
4.5%
6 29
 
4.4%
0 23
 
3.5%
9 20
 
3.0%
Other values (5) 34
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1315
66.4%
ASCII 664
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
354
53.3%
1 46
 
6.9%
2 36
 
5.4%
3 31
 
4.7%
4 31
 
4.7%
5 30
 
4.5%
7 30
 
4.5%
6 29
 
4.4%
0 23
 
3.5%
9 20
 
3.0%
Other values (5) 34
 
5.1%
Hangul
ValueCountFrequency (%)
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
85
 
6.5%
83
 
6.3%
83
 
6.3%
Other values (41) 469
35.7%
Distinct76
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-13T07:02:03.425855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length23.623529
Min length20

Characters and Unicode

Total characters2008
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)80.0%

Sample

1st row경상북도 김천시 어모면 남산리 2049번지
2nd row경상북도 김천시 어모면 남산리 1991번지
3rd row경상북도 김천시 어모면 남산리 1883번지
4th row경상북도 김천시 어모면 남산리 1996번지
5th row경상북도 김천시 어모면 남산리 1885번지
ValueCountFrequency (%)
경상북도 85
19.3%
김천시 85
19.3%
어모면 83
18.8%
남산리 74
16.8%
다남리 9
 
2.0%
4
 
0.9%
2037번지 3
 
0.7%
1필지 3
 
0.7%
2048번지 2
 
0.5%
응명동 2
 
0.5%
Other values (83) 91
20.6%
2023-12-13T07:02:03.834771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
356
17.7%
86
 
4.3%
86
 
4.3%
85
 
4.2%
85
 
4.2%
85
 
4.2%
85
 
4.2%
85
 
4.2%
84
 
4.2%
83
 
4.1%
Other values (53) 888
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1287
64.1%
Space Separator 356
 
17.7%
Decimal Number 343
 
17.1%
Dash Punctuation 14
 
0.7%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
86
 
6.7%
86
 
6.7%
85
 
6.6%
85
 
6.6%
85
 
6.6%
85
 
6.6%
85
 
6.6%
84
 
6.5%
83
 
6.4%
83
 
6.4%
Other values (39) 440
34.2%
Decimal Number
ValueCountFrequency (%)
1 75
21.9%
9 48
14.0%
2 46
13.4%
0 45
13.1%
8 33
9.6%
3 28
 
8.2%
4 27
 
7.9%
7 14
 
4.1%
6 14
 
4.1%
5 13
 
3.8%
Space Separator
ValueCountFrequency (%)
356
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1287
64.1%
Common 721
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
86
 
6.7%
86
 
6.7%
85
 
6.6%
85
 
6.6%
85
 
6.6%
85
 
6.6%
85
 
6.6%
84
 
6.5%
83
 
6.4%
83
 
6.4%
Other values (39) 440
34.2%
Common
ValueCountFrequency (%)
356
49.4%
1 75
 
10.4%
9 48
 
6.7%
2 46
 
6.4%
0 45
 
6.2%
8 33
 
4.6%
3 28
 
3.9%
4 27
 
3.7%
7 14
 
1.9%
6 14
 
1.9%
Other values (4) 35
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1287
64.1%
ASCII 721
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
356
49.4%
1 75
 
10.4%
9 48
 
6.7%
2 46
 
6.4%
0 45
 
6.2%
8 33
 
4.6%
3 28
 
3.9%
4 27
 
3.7%
7 14
 
1.9%
6 14
 
1.9%
Other values (4) 35
 
4.9%
Hangul
ValueCountFrequency (%)
86
 
6.7%
86
 
6.7%
85
 
6.6%
85
 
6.6%
85
 
6.6%
85
 
6.6%
85
 
6.6%
84
 
6.5%
83
 
6.4%
83
 
6.4%
Other values (39) 440
34.2%
Distinct80
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-13T07:02:04.104841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.058824
Min length12

Characters and Unicode

Total characters1025
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

Unique78 ?
Unique (%)91.8%

Sample

1st row054-437-9898
2nd row054-474-7220
3rd row054-910-7337
4th row053-581-3611
5th row054-437-6331
ValueCountFrequency (%)
000-000-0000 4
 
4.7%
054-716-2124 3
 
3.5%
054-436-0534 1
 
1.2%
054-430-6600 1
 
1.2%
054-434-2611 1
 
1.2%
054-432-8188 1
 
1.2%
054-432-9183 1
 
1.2%
054-436-8888 1
 
1.2%
053-430-7000 1
 
1.2%
054-436-2297 1
 
1.2%
Other values (70) 70
82.4%
2023-12-13T07:02:04.494370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 195
19.0%
- 170
16.6%
4 167
16.3%
5 114
11.1%
3 96
9.4%
1 60
 
5.9%
7 58
 
5.7%
2 48
 
4.7%
8 42
 
4.1%
6 40
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 855
83.4%
Dash Punctuation 170
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 195
22.8%
4 167
19.5%
5 114
13.3%
3 96
11.2%
1 60
 
7.0%
7 58
 
6.8%
2 48
 
5.6%
8 42
 
4.9%
6 40
 
4.7%
9 35
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1025
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 195
19.0%
- 170
16.6%
4 167
16.3%
5 114
11.1%
3 96
9.4%
1 60
 
5.9%
7 58
 
5.7%
2 48
 
4.7%
8 42
 
4.1%
6 40
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 195
19.0%
- 170
16.6%
4 167
16.3%
5 114
11.1%
3 96
9.4%
1 60
 
5.9%
7 58
 
5.7%
2 48
 
4.7%
8 42
 
4.1%
6 40
 
3.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum2022-03-23 00:00:00
Maximum2022-03-23 00:00:00
2023-12-13T07:02:04.634304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:02:04.733854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:02:01.309719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:02:04.823075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명공장대표주소(도로명)공장대표주소(지번)전화번호
순번1.0001.0000.8290.8500.963
회사명1.0001.0001.0001.0001.000
공장대표주소(도로명)0.8291.0001.0001.0000.972
공장대표주소(지번)0.8501.0001.0001.0000.974
전화번호0.9631.0000.9720.9741.000

Missing values

2023-12-13T07:02:01.411246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:02:01.537088image/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

순번단지명회사명공장대표주소(도로명)공장대표주소(지번)전화번호데이터기준일자
01김천제1일반산업단지(주)가람테크경상북도 김천시 어모면 산업단지로 130경상북도 김천시 어모면 남산리 2049번지054-437-98982022-03-23
12김천제1일반산업단지(주)경성테크 김천공장경상북도 김천시 어모면 산업단지7로 135경상북도 김천시 어모면 남산리 1991번지054-474-72202022-03-23
23김천제1일반산업단지(주)골드테크경상북도 김천시 어모면 산업단지3로 57경상북도 김천시 어모면 남산리 1883번지054-910-73372022-03-23
34김천제1일반산업단지(주)국민진공경상북도 김천시 어모면 산업단지로 245경상북도 김천시 어모면 남산리 1996번지053-581-36112022-03-23
45김천제1일반산업단지(주)나노코경상북도 김천시 어모면 산업단지2로 55경상북도 김천시 어모면 남산리 1885번지054-437-63312022-03-23
56김천제1일반산업단지(주)누림테크경상북도 김천시 어모면 남산리 2020번지경상북도 김천시 어모면 남산리 2020번지054-463-03432022-03-23
67김천제1일반산업단지(주)다원넥스트 1공장경상북도 김천시 어모면 산업단지로 263경상북도 김천시 어모면 다남리 862번지054-716-21242022-03-23
78김천제1일반산업단지(주)다원넥스트 2공장경상북도 김천시 어모면 남산리 1989번지경상북도 김천시 어모면 남산리 1989번지054-716-21242022-03-23
89김천제1일반산업단지(주)다원넥스트 3공장경상북도 김천시 어모면 산업단지7로 89 (주)케이에스엠테크경상북도 김천시 어모면 다남리 1403-0 (주)케이에스엠테크054-716-21242022-03-23
910김천제1일반산업단지(주)대신브레이크경상북도 김천시 어모면 산업단지로 122경상북도 김천시 어모면 남산리 2048번지054-437-71022022-03-23
순번단지명회사명공장대표주소(도로명)공장대표주소(지번)전화번호데이터기준일자
7576김천제1일반산업단지주식회사 와이앤피경상북도 김천시 어모면 산업단지3로 63경상북도 김천시 어모면 남산리 1881070-7615-70042022-03-23
7677김천제1일반산업단지주식회사 은성테크경상북도 김천시 어모면 산업단지로 255경상북도 김천시 어모면 다남리 1405번지054-430-99132022-03-23
7778김천제1일반산업단지주식회사 케이에스엠테크경상북도 김천시 어모면 산업단지7로 89경상북도 김천시 어모면 다남리 1403번지054-716-23602022-03-23
7879김천제1일반산업단지주식회사 코디경상북도 김천시 어모면 산업단지4로 90경상북도 김천시 어모면 남산리 2034번지031-322-77882022-03-23
7980김천제1일반산업단지코오롱생명과학(주) 김천 제2공장경상북도 김천시 어모면 산업단지2로 77경상북도 김천시 어모면 남산리 1884번지054-429-10532022-03-23
8081김천제1일반산업단지코오롱플라스틱(주) 김천2공장경상북도 김천시 어모면 산업단지4로 75경상북도 김천시 어모면 남산리 2031번지054-420-83562022-03-23
8182김천제1일반산업단지필라스트(filast)경상북도 김천시 어모면 산업단지4로 70경상북도 김천시 어모면 남산리 2037번지054-431-81012022-03-23
8283김천제1일반산업단지한국신소재경상북도 김천시 어모면 산업단지로 245 국민진공경상북도 김천시 어모면 남산리 1996-0 국민진공054-383-70722022-03-23
8384김천제1일반산업단지한국에스엠티(주)경상북도 김천시 어모면 남산리 1882-0번지경상북도 김천시 어모면 남산리 1882번지054-429-88002022-03-23
8485김천제1일반산업단지히트산업(주)경상북도 김천시 어모면 산업단지6로 63경상북도 김천시 어모면 남산리 2011번지055-583-11442022-03-23