Overview

Dataset statistics

Number of variables8
Number of observations131
Missing cells25
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory67.0 B

Variable types

Numeric2
Categorical1
Text4
DateTime1

Dataset

Description경상남도 의령군의 기업정보를 제공하는 데이터 입니다. 기업명과 업종, 소재지의 도로명 주소, 종사자수, 연락처 정보입니다.※ 연락처의 경우 개인휴대폰번호가 있는 곳은 공란처리하였습니다.
Author경상남도 의령군
URLhttps://www.data.go.kr/data/15080378/fileData.do

Alerts

지역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
종사자수 has 14 (10.7%) missing valuesMissing
연락처 has 11 (8.4%) missing valuesMissing
연번 has unique valuesUnique
기업명 has unique valuesUnique
종사자수 has 3 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-12 13:41:55.915453
Analysis finished2023-12-12 13:41:57.470704
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T22:41:57.543670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.5
Q133.5
median66
Q398.5
95-th percentile124.5
Maximum131
Range130
Interquartile range (IQR)65

Descriptive statistics

Standard deviation37.960506
Coefficient of variation (CV)0.57515918
Kurtosis-1.2
Mean66
Median Absolute Deviation (MAD)33
Skewness0
Sum8646
Variance1441
MonotonicityStrictly increasing
2023-12-12T22:41:57.689461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
84 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
경상남도 의령군
131 

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 131
100.0%

Length

2023-12-12T22:41:57.829066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:41:57.918137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 131
50.0%
의령군 131
50.0%

기업명
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:41:58.082560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.9923664
Min length2

Characters and Unicode

Total characters916
Distinct characters212
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

Unique131 ?
Unique (%)100.0%

Sample

1st row대익이엔지㈜
2nd row㈜한화미 의령공장
3rd row㈜코스글로벌 의령공장
4th row㈜쎄니트
5th row태림페이퍼㈜의령공장
ValueCountFrequency (%)
농업회사법인 4
 
2.6%
주식회사 3
 
2.0%
훌루테크㈜ 2
 
1.3%
의령공장 2
 
1.3%
2공장 2
 
1.3%
화림테크 2
 
1.3%
㈜대덕 2
 
1.3%
대익이엔지㈜ 1
 
0.7%
영농조합법인 1
 
0.7%
부성종합포장 1
 
0.7%
Other values (132) 132
86.8%
2023-12-12T22:41:58.414009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 59
 
6.4%
이 32
 
3.5%
주 23
 
2.5%
22
 
2.4%
의 22
 
2.4%
업 22
 
2.4%
) 22
 
2.4%
( 22
 
2.4%
령 21
 
2.3%
스 20
 
2.2%
Other values (202) 651
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
85.3%
Other Symbol 59
 
6.4%
Space Separator 22
 
2.4%
Close Punctuation 22
 
2.4%
Open Punctuation 22
 
2.4%
Decimal Number 7
 
0.8%
Uppercase Letter 2
 
0.2%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 32
 
4.1%
주 23
 
2.9%
의 22
 
2.8%
업 22
 
2.8%
령 21
 
2.7%
스 20
 
2.6%
산 19
 
2.4%
사 19
 
2.4%
지 19
 
2.4%
공 17
 
2.2%
Other values (194) 567
72.6%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 59
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Decimal Number
ValueCountFrequency (%)
2 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 840
91.7%
Common 74
 
8.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 59
 
7.0%
이 32
 
3.8%
주 23
 
2.7%
의 22
 
2.6%
업 22
 
2.6%
령 21
 
2.5%
스 20
 
2.4%
산 19
 
2.3%
사 19
 
2.3%
지 19
 
2.3%
Other values (195) 584
69.5%
Common
ValueCountFrequency (%)
22
29.7%
) 22
29.7%
( 22
29.7%
2 7
 
9.5%
_ 1
 
1.4%
Latin
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
85.3%
ASCII 76
 
8.3%
None 59
 
6.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 59
100.0%
Hangul
ValueCountFrequency (%)
이 32
 
4.1%
주 23
 
2.9%
의 22
 
2.8%
업 22
 
2.8%
령 21
 
2.7%
스 20
 
2.6%
산 19
 
2.4%
사 19
 
2.4%
지 19
 
2.4%
공 17
 
2.2%
Other values (194) 567
72.6%
ASCII
ValueCountFrequency (%)
22
28.9%
) 22
28.9%
( 22
28.9%
2 7
 
9.2%
_ 1
 
1.3%
J 1
 
1.3%
S 1
 
1.3%

업종
Text

Distinct105
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:41:58.655122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length15.526718
Min length1

Characters and Unicode

Total characters2034
Distinct characters179
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

Unique87 ?
Unique (%)66.4%

Sample

1st row육상 금속 골조 구조재 제조업 외 1종
2nd row그 외 자동차용 신품 부품 제조업 외 6종
3rd row철강선제조업
4th row냉간압연및압출제품제조 외 1종
5th row기타 종이 및 판지 제조업
ValueCountFrequency (%)
제조업 93
 
15.5%
외 57
 
9.5%
및 47
 
7.8%
기타 36
 
6.0%
1종 27
 
4.5%
그 12
 
2.0%
콘크리트 11
 
1.8%
금속 10
 
1.7%
제품 6
 
1.0%
곡물 6
 
1.0%
Other values (172) 294
49.1%
2023-12-12T22:41:59.117941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
471
23.2%
제 141
 
6.9%
조 140
 
6.9%
업 131
 
6.4%
기 65
 
3.2%
외 60
 
2.9%
및 51
 
2.5%
종 50
 
2.5%
타 44
 
2.2%
품 42
 
2.1%
Other values (169) 839
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1496
73.5%
Space Separator 471
 
23.2%
Decimal Number 53
 
2.6%
Other Punctuation 12
 
0.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 141
 
9.4%
조 140
 
9.4%
업 131
 
8.8%
기 65
 
4.3%
외 60
 
4.0%
및 51
 
3.4%
종 50
 
3.3%
타 44
 
2.9%
품 42
 
2.8%
금 29
 
1.9%
Other values (155) 743
49.7%
Decimal Number
ValueCountFrequency (%)
1 34
64.2%
3 7
 
13.2%
5 3
 
5.7%
0 2
 
3.8%
2 2
 
3.8%
9 1
 
1.9%
7 1
 
1.9%
6 1
 
1.9%
4 1
 
1.9%
8 1
 
1.9%
Space Separator
ValueCountFrequency (%)
471
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1496
73.5%
Common 538
 
26.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 141
 
9.4%
조 140
 
9.4%
업 131
 
8.8%
기 65
 
4.3%
외 60
 
4.0%
및 51
 
3.4%
종 50
 
3.3%
타 44
 
2.9%
품 42
 
2.8%
금 29
 
1.9%
Other values (155) 743
49.7%
Common
ValueCountFrequency (%)
471
87.5%
1 34
 
6.3%
, 12
 
2.2%
3 7
 
1.3%
5 3
 
0.6%
0 2
 
0.4%
2 2
 
0.4%
( 1
 
0.2%
9 1
 
0.2%
) 1
 
0.2%
Other values (4) 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1496
73.5%
ASCII 538
 
26.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
471
87.5%
1 34
 
6.3%
, 12
 
2.2%
3 7
 
1.3%
5 3
 
0.6%
0 2
 
0.4%
2 2
 
0.4%
( 1
 
0.2%
9 1
 
0.2%
) 1
 
0.2%
Other values (4) 4
 
0.7%
Hangul
ValueCountFrequency (%)
제 141
 
9.4%
조 140
 
9.4%
업 131
 
8.8%
기 65
 
4.3%
외 60
 
4.0%
및 51
 
3.4%
종 50
 
3.3%
타 44
 
2.9%
품 42
 
2.8%
금 29
 
1.9%
Other values (155) 743
49.7%

소재지주소
Text

Distinct119
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:41:59.528362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length25
Mean length19.610687
Min length10

Characters and Unicode

Total characters2569
Distinct characters92
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

Unique110 ?
Unique (%)84.0%

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 (%)
의령군 110
18.9%
경상남도 70
 
12.0%
의령읍 36
 
6.2%
봉수면 30
 
5.1%
한지18길 20
 
3.4%
부림면 16
 
2.7%
직금로 9
 
1.5%
구룡로 9
 
1.5%
한지20길 8
 
1.4%
구룡로4남길 8
 
1.4%
Other values (174) 267
45.8%
2023-12-12T22:41:59.993030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
492
19.2%
의 160
 
6.2%
령 148
 
5.8%
1 113
 
4.4%
군 110
 
4.3%
면 92
 
3.6%
남 81
 
3.2%
지 79
 
3.1%
상 77
 
3.0%
경 71
 
2.8%
Other values (82) 1146
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1517
59.1%
Decimal Number 494
 
19.2%
Space Separator 492
 
19.2%
Dash Punctuation 61
 
2.4%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 160
 
10.5%
령 148
 
9.8%
군 110
 
7.3%
면 92
 
6.1%
남 81
 
5.3%
지 79
 
5.2%
상 77
 
5.1%
경 71
 
4.7%
도 70
 
4.6%
길 51
 
3.4%
Other values (69) 578
38.1%
Decimal Number
ValueCountFrequency (%)
1 113
22.9%
2 64
13.0%
8 52
10.5%
3 51
10.3%
4 46
9.3%
9 38
 
7.7%
5 36
 
7.3%
7 34
 
6.9%
0 30
 
6.1%
6 30
 
6.1%
Space Separator
ValueCountFrequency (%)
492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1517
59.1%
Common 1052
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 160
 
10.5%
령 148
 
9.8%
군 110
 
7.3%
면 92
 
6.1%
남 81
 
5.3%
지 79
 
5.2%
상 77
 
5.1%
경 71
 
4.7%
도 70
 
4.6%
길 51
 
3.4%
Other values (69) 578
38.1%
Common
ValueCountFrequency (%)
492
46.8%
1 113
 
10.7%
2 64
 
6.1%
- 61
 
5.8%
8 52
 
4.9%
3 51
 
4.8%
4 46
 
4.4%
9 38
 
3.6%
5 36
 
3.4%
7 34
 
3.2%
Other values (3) 65
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1517
59.1%
ASCII 1052
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
492
46.8%
1 113
 
10.7%
2 64
 
6.1%
- 61
 
5.8%
8 52
 
4.9%
3 51
 
4.8%
4 46
 
4.4%
9 38
 
3.6%
5 36
 
3.4%
7 34
 
3.2%
Other values (3) 65
 
6.2%
Hangul
ValueCountFrequency (%)
의 160
 
10.5%
령 148
 
9.8%
군 110
 
7.3%
면 92
 
6.1%
남 81
 
5.3%
지 79
 
5.2%
상 77
 
5.1%
경 71
 
4.7%
도 70
 
4.6%
길 51
 
3.4%
Other values (69) 578
38.1%

종사자수
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)29.1%
Missing14
Missing (%)10.7%
Infinite0
Infinite (%)0.0%
Mean13.051282
Minimum0
Maximum103
Zeros3
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T22:42:00.153846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q313
95-th percentile42.6
Maximum103
Range103
Interquartile range (IQR)10

Descriptive statistics

Standard deviation19.230385
Coefficient of variation (CV)1.4734479
Kurtosis9.841618
Mean13.051282
Median Absolute Deviation (MAD)4
Skewness3.0110053
Sum1527
Variance369.80769
MonotonicityNot monotonic
2023-12-12T22:42:00.285187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2 15
11.5%
3 13
 
9.9%
6 11
 
8.4%
7 9
 
6.9%
5 8
 
6.1%
1 7
 
5.3%
10 6
 
4.6%
4 5
 
3.8%
13 4
 
3.1%
0 3
 
2.3%
Other values (24) 36
27.5%
(Missing) 14
 
10.7%
ValueCountFrequency (%)
0 3
 
2.3%
1 7
5.3%
2 15
11.5%
3 13
9.9%
4 5
 
3.8%
5 8
6.1%
6 11
8.4%
7 9
6.9%
8 3
 
2.3%
9 3
 
2.3%
ValueCountFrequency (%)
103 1
0.8%
98 1
0.8%
91 1
0.8%
81 1
0.8%
75 1
0.8%
45 1
0.8%
42 1
0.8%
37 1
0.8%
36 1
0.8%
35 1
0.8%

연락처
Text

MISSING 

Distinct111
Distinct (%)92.5%
Missing11
Missing (%)8.4%
Memory size1.2 KiB
2023-12-12T22:42:00.535192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.083333
Min length12

Characters and Unicode

Total characters1450
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)86.7%

Sample

1st row055-572-1600
2nd row055-573-9991
3rd row055-573-0396
4th row055-573-8221
5th row055-572-3020
ValueCountFrequency (%)
055-573-1534 3
 
2.5%
055-572-2424 3
 
2.5%
055-716-1239 2
 
1.7%
055-574-9282 2
 
1.7%
055-573-0991 2
 
1.7%
055-574-0227 2
 
1.7%
055-574-8755 2
 
1.7%
055-574-8700 1
 
0.8%
055-574-7557 1
 
0.8%
055-574-7740 1
 
0.8%
Other values (101) 101
84.2%
2023-12-12T22:42:00.951082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 386
26.6%
- 240
16.6%
0 220
15.2%
7 167
11.5%
4 81
 
5.6%
3 77
 
5.3%
2 75
 
5.2%
1 63
 
4.3%
9 50
 
3.4%
6 44
 
3.0%
Other values (2) 47
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1207
83.2%
Dash Punctuation 240
 
16.6%
Math Symbol 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 386
32.0%
0 220
18.2%
7 167
13.8%
4 81
 
6.7%
3 77
 
6.4%
2 75
 
6.2%
1 63
 
5.2%
9 50
 
4.1%
6 44
 
3.6%
8 44
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1450
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 386
26.6%
- 240
16.6%
0 220
15.2%
7 167
11.5%
4 81
 
5.6%
3 77
 
5.3%
2 75
 
5.2%
1 63
 
4.3%
9 50
 
3.4%
6 44
 
3.0%
Other values (2) 47
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 386
26.6%
- 240
16.6%
0 220
15.2%
7 167
11.5%
4 81
 
5.6%
3 77
 
5.3%
2 75
 
5.2%
1 63
 
4.3%
9 50
 
3.4%
6 44
 
3.0%
Other values (2) 47
 
3.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2023-09-11 00:00:00
Maximum2023-09-11 00:00:00
2023-12-12T22:42:01.086834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:42:01.178488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:41:56.883144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:41:56.650699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:41:56.981343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:41:56.771770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:42:01.253350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자수
연번1.0000.295
종사자수0.2951.000
2023-12-12T22:42:01.347239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종사자수
연번1.000-0.311
종사자수-0.3111.000

Missing values

2023-12-12T22:41:57.147064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:41:57.335009image/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.
2023-12-12T22:41:57.427114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번지역기업명업종소재지주소종사자수연락처데이터기준일자
01경상남도 의령군대익이엔지㈜육상 금속 골조 구조재 제조업 외 1종경상남도 의령군 의령읍 구룡로 24275055-572-16002023-09-11
12경상남도 의령군㈜한화미 의령공장그 외 자동차용 신품 부품 제조업 외 6종경상남도 의령군 의령읍 구룡로4남길 1530055-573-99912023-09-11
23경상남도 의령군㈜코스글로벌 의령공장철강선제조업경상남도 의령군 의령읍 구룡로4남길 2537055-573-03962023-09-11
34경상남도 의령군㈜쎄니트냉간압연및압출제품제조 외 1종경상남도 의령군 의령읍 구룡로4남길 5381055-573-82212023-09-11
45경상남도 의령군태림페이퍼㈜의령공장기타 종이 및 판지 제조업경상남도 의령군 의령읍 구룡로1길 3998055-572-30202023-09-11
56경상남도 의령군경남제약㈜의령공장생물학적제제 외 1종경상남도 의령군 의령읍 구룡로4남길 7913055-572-87002023-09-11
67경상남도 의령군부산사료㈜배합 사료 제조업 외 1종경상남도 의령군 의령읍 구룡로4남길 6513055-573-09912023-09-11
78경상남도 의령군제이비 플러스배합 사료 제조업 외 1종경상남도 의령군 의령읍 구룡로4길 941055-573-09912023-09-11
89경상남도 의령군㈜거양금속자동차용 신품 동력전달장치 제조업 외 3종경상남도 의령군 의령읍 구룡로4남길 14-331055-573-0274~62023-09-11
910경상남도 의령군㈜세한이엔지절삭가공 및 유사처리업 외 1종경상남도 의령군 의령읍 구룡로4남길 5233055-574-45622023-09-11
연번지역기업명업종소재지주소종사자수연락처데이터기준일자
121122경상남도 의령군커스텀비기타 비알코올 음료 제조업(11209)부림면 오소길 535<NA>2023-09-11
122123경상남도 의령군호암정밀금속 절삭기계 제조업지정면 함의로 7길 85<NA>2023-09-11
123124경상남도 의령군홍인선박 구성 부분품 제조업경상남도 의령군 용덕면 소상로 475<NA>055-574-33112023-09-11
124125경상남도 의령군화정퇴비기타 비료 및 질소화합물 제조업의령군 화정면 상일리 120번지3055-573-80592023-09-11
125126경상남도 의령군모시골푸드기타 곡물가공품 제조업의령군 화정면 화정로5길 662<NA>2023-09-11
126127경상남도 의령군㈜성진이엔지육상 금속 골조 구조재 제조업의령군 지정면 함의로2길 1526055-572-11602023-09-11
127128경상남도 의령군㈜세우이엔티그 외 기타 1차 철강 제조업의령군 칠곡면 진의로 2194<NA>055-817-75502023-09-11
128129경상남도 의령군모모시루떡류 제조업의령군 의령읍 수암로 9614055-573-70052023-09-11
129130경상남도 의령군대성테크그 외 자동차용 신품 부품 제조업의령군 칠곡면 진의로 2196<NA><NA>2023-09-11
130131경상남도 의령군진산물산그 외 기타 식료품제조업의령군 화정면 상정리 125-1, 1263055-573-77332023-09-11