Overview

Dataset statistics

Number of variables8
Number of observations115
Missing cells8
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory67.1 B

Variable types

Numeric2
Categorical2
Text4

Dataset

Description경상남도 의령군의 기업정보를 제공하는 데이터 입니다. 기업명과 업종, 소재지의 도로명 주소, 종사자수, 연락처 정보입니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15080378

Alerts

지역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연락처 has 8 (7.0%) missing valuesMissing
연번 has unique valuesUnique
기업명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:37:37.238177
Analysis finished2023-12-11 00:37:38.467814
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.582609
Minimum1
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T09:37:38.538936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.7
Q134.5
median63
Q391.5
95-th percentile116.3
Maximum122
Range121
Interquartile range (IQR)57

Descriptive statistics

Standard deviation34.664554
Coefficient of variation (CV)0.55390074
Kurtosis-1.1143073
Mean62.582609
Median Absolute Deviation (MAD)29
Skewness-0.049100016
Sum7197
Variance1201.6313
MonotonicityStrictly increasing
2023-12-11T09:37:38.707057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
79 1
 
0.9%
91 1
 
0.9%
90 1
 
0.9%
89 1
 
0.9%
88 1
 
0.9%
87 1
 
0.9%
86 1
 
0.9%
85 1
 
0.9%
84 1
 
0.9%
Other values (105) 105
91.3%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
11 1
0.9%
ValueCountFrequency (%)
122 1
0.9%
121 1
0.9%
120 1
0.9%
119 1
0.9%
118 1
0.9%
117 1
0.9%
116 1
0.9%
114 1
0.9%
113 1
0.9%
112 1
0.9%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
경상남도 의령군
115 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 의령군
2nd row경상남도 의령군
3rd row경상남도 의령군
4th row경상남도 의령군
5th row경상남도 의령군

Common Values

ValueCountFrequency (%)
경상남도 의령군 115
100.0%

Length

2023-12-11T09:37:38.836770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:38.922885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 115
50.0%
의령군 115
50.0%

기업명
Text

UNIQUE 

Distinct115
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T09:37:39.158783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.7391304
Min length3

Characters and Unicode

Total characters775
Distinct characters199
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)100.0%

Sample

1st row대익이엔지㈜
2nd row㈜한화미 의령공장
3rd row㈜코스글로벌
4th row㈜쎄니트
5th row태림페이퍼㈜의령공장
ValueCountFrequency (%)
농업회사법인 4
 
3.1%
의령공장 2
 
1.5%
주식회사 2
 
1.5%
경남지사 1
 
0.8%
신현세전통한지 1
 
0.8%
주)신창제지 1
 
0.8%
의령백산식품 1
 
0.8%
신성제지공업사 1
 
0.8%
신반한지 1
 
0.8%
일지비텍 1
 
0.8%
Other values (116) 116
88.5%
2023-12-11T09:37:39.637995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 52
 
6.7%
이 24
 
3.1%
업 21
 
2.7%
의 21
 
2.7%
령 20
 
2.6%
주 19
 
2.5%
스 17
 
2.2%
17
 
2.2%
사 17
 
2.2%
산 17
 
2.2%
Other values (189) 550
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 671
86.6%
Other Symbol 52
 
6.7%
Space Separator 17
 
2.2%
Open Punctuation 15
 
1.9%
Close Punctuation 15
 
1.9%
Decimal Number 3
 
0.4%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 24
 
3.6%
업 21
 
3.1%
의 21
 
3.1%
령 20
 
3.0%
주 19
 
2.8%
스 17
 
2.5%
사 17
 
2.5%
산 17
 
2.5%
지 16
 
2.4%
성 14
 
2.1%
Other values (182) 485
72.3%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 52
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 723
93.3%
Common 50
 
6.5%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 52
 
7.2%
이 24
 
3.3%
업 21
 
2.9%
의 21
 
2.9%
령 20
 
2.8%
주 19
 
2.6%
스 17
 
2.4%
사 17
 
2.4%
산 17
 
2.4%
지 16
 
2.2%
Other values (183) 499
69.0%
Common
ValueCountFrequency (%)
17
34.0%
( 15
30.0%
) 15
30.0%
2 3
 
6.0%
Latin
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 671
86.6%
None 52
 
6.7%
ASCII 52
 
6.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 52
100.0%
Hangul
ValueCountFrequency (%)
이 24
 
3.6%
업 21
 
3.1%
의 21
 
3.1%
령 20
 
3.0%
주 19
 
2.8%
스 17
 
2.5%
사 17
 
2.5%
산 17
 
2.5%
지 16
 
2.4%
성 14
 
2.1%
Other values (182) 485
72.3%
ASCII
ValueCountFrequency (%)
17
32.7%
( 15
28.8%
) 15
28.8%
2 3
 
5.8%
J 1
 
1.9%
S 1
 
1.9%

업종
Text

Distinct95
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T09:37:39.902244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length15.756522
Min length5

Characters and Unicode

Total characters1812
Distinct characters167
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

Unique81 ?
Unique (%)70.4%

Sample

1st row육상 금속 골조 구조재 제조업 외 1 종
2nd row그 외 자동차용 신품 부품 제조업 외 6 종
3rd row철강선제조업
4th row냉간 압연 및 압출 제품 제조업 외 1 종
5th row기타 종이 및 판지 제조업 외 2 종
ValueCountFrequency (%)
제조업 86
 
15.6%
및 45
 
8.2%
외 43
 
7.8%
종 30
 
5.4%
기타 29
 
5.3%
1 16
 
2.9%
콘크리트 11
 
2.0%
그 9
 
1.6%
금속 8
 
1.5%
제품 7
 
1.3%
Other values (156) 267
48.5%
2023-12-11T09:37:40.414062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
437
24.1%
제 130
 
7.2%
조 123
 
6.8%
업 115
 
6.3%
기 58
 
3.2%
및 48
 
2.6%
외 46
 
2.5%
종 40
 
2.2%
타 37
 
2.0%
품 37
 
2.0%
Other values (157) 741
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1328
73.3%
Space Separator 437
 
24.1%
Decimal Number 36
 
2.0%
Other Punctuation 11
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 130
 
9.8%
조 123
 
9.3%
업 115
 
8.7%
기 58
 
4.4%
및 48
 
3.6%
외 46
 
3.5%
종 40
 
3.0%
타 37
 
2.8%
품 37
 
2.8%
금 26
 
2.0%
Other values (147) 668
50.3%
Decimal Number
ValueCountFrequency (%)
1 22
61.1%
3 5
 
13.9%
2 3
 
8.3%
5 2
 
5.6%
6 1
 
2.8%
0 1
 
2.8%
8 1
 
2.8%
4 1
 
2.8%
Space Separator
ValueCountFrequency (%)
437
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1328
73.3%
Common 484
 
26.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 130
 
9.8%
조 123
 
9.3%
업 115
 
8.7%
기 58
 
4.4%
및 48
 
3.6%
외 46
 
3.5%
종 40
 
3.0%
타 37
 
2.8%
품 37
 
2.8%
금 26
 
2.0%
Other values (147) 668
50.3%
Common
ValueCountFrequency (%)
437
90.3%
1 22
 
4.5%
, 11
 
2.3%
3 5
 
1.0%
2 3
 
0.6%
5 2
 
0.4%
6 1
 
0.2%
0 1
 
0.2%
8 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1328
73.3%
ASCII 484
 
26.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
437
90.3%
1 22
 
4.5%
, 11
 
2.3%
3 5
 
1.0%
2 3
 
0.6%
5 2
 
0.4%
6 1
 
0.2%
0 1
 
0.2%
8 1
 
0.2%
4 1
 
0.2%
Hangul
ValueCountFrequency (%)
제 130
 
9.8%
조 123
 
9.3%
업 115
 
8.7%
기 58
 
4.4%
및 48
 
3.6%
외 46
 
3.5%
종 40
 
3.0%
타 37
 
2.8%
품 37
 
2.8%
금 26
 
2.0%
Other values (147) 668
50.3%

소재지주소
Text

Distinct104
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T09:37:40.801926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.191304
Min length18

Characters and Unicode

Total characters2437
Distinct characters77
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

Unique95 ?
Unique (%)82.6%

Sample

1st row경상남도 의령군 의령읍 구룡로 242
2nd row경상남도 의령군 의령읍 구룡로4남길 15
3rd row경상남도 의령군 의령읍 구룡로4남길 25
4th row경상남도 의령군 의령읍 구룡로4남길 53
5th row경상남도 의령군 의령읍 구룡로1길 39
ValueCountFrequency (%)
경상남도 115
20.0%
의령군 115
20.0%
봉수면 33
 
5.7%
의령읍 31
 
5.4%
한지18길 21
 
3.7%
부림면 13
 
2.3%
직금로 9
 
1.6%
구룡로4남길 7
 
1.2%
구룡로 7
 
1.2%
한지20길 7
 
1.2%
Other values (147) 217
37.7%
2023-12-11T09:37:41.375068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
468
19.2%
의 165
 
6.8%
령 147
 
6.0%
남 128
 
5.3%
상 117
 
4.8%
경 115
 
4.7%
도 115
 
4.7%
군 115
 
4.7%
1 86
 
3.5%
면 84
 
3.4%
Other values (67) 897
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1548
63.5%
Space Separator 468
 
19.2%
Decimal Number 393
 
16.1%
Dash Punctuation 28
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 165
 
10.7%
령 147
 
9.5%
남 128
 
8.3%
상 117
 
7.6%
경 115
 
7.4%
도 115
 
7.4%
군 115
 
7.4%
면 84
 
5.4%
로 77
 
5.0%
길 57
 
3.7%
Other values (55) 428
27.6%
Decimal Number
ValueCountFrequency (%)
1 86
21.9%
2 53
13.5%
8 42
10.7%
6 35
8.9%
3 34
 
8.7%
4 34
 
8.7%
9 28
 
7.1%
5 28
 
7.1%
7 27
 
6.9%
0 26
 
6.6%
Space Separator
ValueCountFrequency (%)
468
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1548
63.5%
Common 889
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 165
 
10.7%
령 147
 
9.5%
남 128
 
8.3%
상 117
 
7.6%
경 115
 
7.4%
도 115
 
7.4%
군 115
 
7.4%
면 84
 
5.4%
로 77
 
5.0%
길 57
 
3.7%
Other values (55) 428
27.6%
Common
ValueCountFrequency (%)
468
52.6%
1 86
 
9.7%
2 53
 
6.0%
8 42
 
4.7%
6 35
 
3.9%
3 34
 
3.8%
4 34
 
3.8%
- 28
 
3.1%
9 28
 
3.1%
5 28
 
3.1%
Other values (2) 53
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1548
63.5%
ASCII 889
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
468
52.6%
1 86
 
9.7%
2 53
 
6.0%
8 42
 
4.7%
6 35
 
3.9%
3 34
 
3.8%
4 34
 
3.8%
- 28
 
3.1%
9 28
 
3.1%
5 28
 
3.1%
Other values (2) 53
 
6.0%
Hangul
ValueCountFrequency (%)
의 165
 
10.7%
령 147
 
9.5%
남 128
 
8.3%
상 117
 
7.6%
경 115
 
7.4%
도 115
 
7.4%
군 115
 
7.4%
면 84
 
5.4%
로 77
 
5.0%
길 57
 
3.7%
Other values (55) 428
27.6%

종사자수
Real number (ℝ)

Distinct35
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.747826
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T09:37:41.583995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median6
Q315
95-th percentile42.9
Maximum102
Range101
Interquartile range (IQR)12

Descriptive statistics

Standard deviation19.150303
Coefficient of variation (CV)1.3929695
Kurtosis9.9432437
Mean13.747826
Median Absolute Deviation (MAD)4
Skewness3.0197071
Sum1581
Variance366.7341
MonotonicityNot monotonic
2023-12-11T09:37:41.727663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6 13
 
11.3%
2 13
 
11.3%
3 12
 
10.4%
5 11
 
9.6%
10 8
 
7.0%
7 7
 
6.1%
1 5
 
4.3%
4 4
 
3.5%
9 4
 
3.5%
20 4
 
3.5%
Other values (25) 34
29.6%
ValueCountFrequency (%)
1 5
 
4.3%
2 13
11.3%
3 12
10.4%
4 4
 
3.5%
5 11
9.6%
6 13
11.3%
7 7
6.1%
8 3
 
2.6%
9 4
 
3.5%
10 8
7.0%
ValueCountFrequency (%)
102 1
0.9%
100 1
0.9%
91 1
0.9%
80 1
0.9%
76 1
0.9%
45 1
0.9%
42 1
0.9%
38 1
0.9%
35 1
0.9%
32 1
0.9%

연락처
Text

MISSING 

Distinct104
Distinct (%)97.2%
Missing8
Missing (%)7.0%
Memory size1.0 KiB
2023-12-11T09:37:42.007508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.046729
Min length12

Characters and Unicode

Total characters1289
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

Unique102 ?
Unique (%)95.3%

Sample

1st row055-572-1600
2nd row055-573-9991
3rd row055-573-0396
4th row055-573-8221
5th row055-572-3020
ValueCountFrequency (%)
055-572-2424 3
 
2.8%
055-573-0991 2
 
1.9%
055-572-1600 1
 
0.9%
055-573-9960 1
 
0.9%
055-572-9776 1
 
0.9%
055-572-5330 1
 
0.9%
055-574-3311 1
 
0.9%
055-573-5507 1
 
0.9%
055-573-8059 1
 
0.9%
055-572-3718 1
 
0.9%
Other values (94) 94
87.9%
2023-12-11T09:37:42.459975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 341
26.5%
- 214
16.6%
0 203
15.7%
7 142
11.0%
4 75
 
5.8%
2 68
 
5.3%
3 67
 
5.2%
1 54
 
4.2%
9 45
 
3.5%
8 41
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1075
83.4%
Dash Punctuation 214
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 341
31.7%
0 203
18.9%
7 142
13.2%
4 75
 
7.0%
2 68
 
6.3%
3 67
 
6.2%
1 54
 
5.0%
9 45
 
4.2%
8 41
 
3.8%
6 39
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 341
26.5%
- 214
16.6%
0 203
15.7%
7 142
11.0%
4 75
 
5.8%
2 68
 
5.3%
3 67
 
5.2%
1 54
 
4.2%
9 45
 
3.5%
8 41
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 341
26.5%
- 214
16.6%
0 203
15.7%
7 142
11.0%
4 75
 
5.8%
2 68
 
5.3%
3 67
 
5.2%
1 54
 
4.2%
9 45
 
3.5%
8 41
 
3.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2021-09-24
115 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-24
2nd row2021-09-24
3rd row2021-09-24
4th row2021-09-24
5th row2021-09-24

Common Values

ValueCountFrequency (%)
2021-09-24 115
100.0%

Length

2023-12-11T09:37:42.621893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:37:42.729109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-24 115
100.0%

Interactions

2023-12-11T09:37:37.768564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:37.600325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:37.864797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:37:37.681567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:37:42.796921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종종사자수
연번1.0000.8850.247
업종0.8851.0000.987
종사자수0.2470.9871.000
2023-12-11T09:37:42.893981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자수
연번1.000-0.350
종사자수-0.3501.000

Missing values

2023-12-11T09:37:37.982515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:37:38.117285image/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

연번지역기업명업종소재지주소종사자수연락처데이터기준일자
01경상남도 의령군대익이엔지㈜육상 금속 골조 구조재 제조업 외 1 종경상남도 의령군 의령읍 구룡로 24276055-572-16002021-09-24
12경상남도 의령군㈜한화미 의령공장그 외 자동차용 신품 부품 제조업 외 6 종경상남도 의령군 의령읍 구룡로4남길 1530055-573-99912021-09-24
23경상남도 의령군㈜코스글로벌철강선제조업경상남도 의령군 의령읍 구룡로4남길 2532055-573-03962021-09-24
34경상남도 의령군㈜쎄니트냉간 압연 및 압출 제품 제조업 외 1 종경상남도 의령군 의령읍 구룡로4남길 5380055-573-82212021-09-24
45경상남도 의령군태림페이퍼㈜의령공장기타 종이 및 판지 제조업 외 2 종경상남도 의령군 의령읍 구룡로1길 39100055-572-30202021-09-24
56경상남도 의령군경남제약㈜의령공장생물학적 제제 제조업 외 1 종경상남도 의령군 의령읍 구룡로4남길 7913055-572-87002021-09-24
67경상남도 의령군부산사료㈜배합 사료 제조업 외 1 종경상남도 의령군 의령읍 구룡로4남길 659055-573-09912021-09-24
78경상남도 의령군제이비 플러스배합 사료 제조업 외 1 종경상남도 의령군 의령읍 구룡로4길 941055-573-09912021-09-24
89경상남도 의령군㈜거양금속자동차용 신품 동력전달장치 제조업 외 3 종경상남도 의령군 의령읍 구룡로4남길 14-330055-573-02742021-09-24
911경상남도 의령군㈜세한이엔지절삭가공 및 유사처리업경상남도 의령군 의령읍 구룡로4남길 5231055-574-45622021-09-24
연번지역기업명업종소재지주소종사자수연락처데이터기준일자
105112경상남도 의령군의령축산업협동조합배합 사료 제조업경상남도 의령군 용덕면 의합대로 1466055-573-23122021-09-24
106113경상남도 의령군진명산업㈜그 외 기타 금속가공업경상남도 의령군 정곡면 강변로 2216<NA>2021-09-24
107114경상남도 의령군의령망개떡 김가네떡류 제조업경상남도 의령군 의령읍 충익로 22-12055-572-15002021-09-24
108116경상남도 의령군호암정밀금속 절삭기계 제조업경상남도 의령군 지정면 함의로 7길 85<NA>2021-09-24
109117경상남도 의령군농업회사법인 ㈜논두렁기타 곡물 가공품 제조업경상남도 의령군 화정면 상정리 311-12055-573-57782021-09-24
110118경상남도 의령군㈜부전산업금속 표시판 제조업경상남도 의령군 부림면 막곡리 18-86055-572-67882021-09-24
111119경상남도 의령군신창산업끈 및 로프 제조업 외 1종경상남도 의령군 봉수면 대한로 1162-32055-573-99902021-09-24
112120경상남도 의령군의령착한농장천연 및 혼합조제 조미료 제조업경상남도 의령군 유곡면 청정로 2375-222<NA>2021-09-24
113121경상남도 의령군삼영탄소산업제2공장그 외 기타 분류 안된 비금송 광물제품 제조업경상남도 의령군 화정면 진의로 1673-72055-574-88332021-09-24
114122경상남도 의령군이든애일반용 전기 조명장치 제조업경상남도 의령군 칠곡면 산남길 6610055-573-14782021-09-24