Overview

Dataset statistics

Number of variables6
Number of observations488
Missing cells107
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.0 KiB
Average record size in memory50.3 B

Variable types

Numeric2
Text4

Dataset

Description충청북도 옥천군_중소기업 현황에 대한 데이터로(회사명(업체명), 업종명, 소재지(공장대표주소), 종업원수, 대표 전화번호)등을 제공합니다. 전화번호와 주소 데이터에 데이터 미집계 등 공란이 있으니 데이터 사용에 유의하시기 바랍니다.
Author충청북도 옥천군
URLhttps://www.data.go.kr/data/3069556/fileData.do

Alerts

공장대표주소 has 51 (10.5%) missing valuesMissing
전화번호 has 56 (11.5%) missing valuesMissing
순번 has unique valuesUnique
종업원수 has 11 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-12 22:55:38.790689
Analysis finished2023-12-12 22:55:40.104021
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct488
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.5
Minimum1
Maximum488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-13T07:55:40.196319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.35
Q1122.75
median244.5
Q3366.25
95-th percentile463.65
Maximum488
Range487
Interquartile range (IQR)243.5

Descriptive statistics

Standard deviation141.01773
Coefficient of variation (CV)0.57675963
Kurtosis-1.2
Mean244.5
Median Absolute Deviation (MAD)122
Skewness0
Sum119316
Variance19886
MonotonicityStrictly increasing
2023-12-13T07:55:40.357790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
337 1
 
0.2%
335 1
 
0.2%
334 1
 
0.2%
333 1
 
0.2%
332 1
 
0.2%
331 1
 
0.2%
330 1
 
0.2%
329 1
 
0.2%
328 1
 
0.2%
Other values (478) 478
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
488 1
0.2%
487 1
0.2%
486 1
0.2%
485 1
0.2%
484 1
0.2%
483 1
0.2%
482 1
0.2%
481 1
0.2%
480 1
0.2%
479 1
0.2%

회사명
Text

Distinct467
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-13T07:55:40.653659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length7.3729508
Min length2

Characters and Unicode

Total characters3598
Distinct characters340
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique453 ?
Unique (%)92.8%

Sample

1st row(주) 본데어리
2nd row(주) 엘림산업
3rd row(주) 엘텍코리아
4th row(주)가람에스티
5th row(주)강토이앤씨
ValueCountFrequency (%)
주식회사 35
 
6.2%
농업회사법인 11
 
2.0%
옥천산업(주 7
 
1.2%
제2공장 4
 
0.7%
주)교동식품 4
 
0.7%
주식회사비젼케어텍 3
 
0.5%
유한회사 3
 
0.5%
메탈크래프트코리아(주 3
 
0.5%
주 3
 
0.5%
대창테크 2
 
0.4%
Other values (470) 485
86.6%
2023-12-13T07:55:41.173169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 332
 
9.2%
( 285
 
7.9%
) 285
 
7.9%
이 87
 
2.4%
사 84
 
2.3%
업 80
 
2.2%
식 74
 
2.1%
72
 
2.0%
회 72
 
2.0%
스 65
 
1.8%
Other values (330) 2162
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2923
81.2%
Open Punctuation 285
 
7.9%
Close Punctuation 285
 
7.9%
Space Separator 72
 
2.0%
Uppercase Letter 17
 
0.5%
Decimal Number 13
 
0.4%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 332
 
11.4%
이 87
 
3.0%
사 84
 
2.9%
업 80
 
2.7%
식 74
 
2.5%
회 72
 
2.5%
스 65
 
2.2%
산 64
 
2.2%
인 44
 
1.5%
에 41
 
1.4%
Other values (310) 1980
67.7%
Uppercase Letter
ValueCountFrequency (%)
M 3
17.6%
S 3
17.6%
O 2
11.8%
C 2
11.8%
B 1
 
5.9%
V 1
 
5.9%
D 1
 
5.9%
P 1
 
5.9%
E 1
 
5.9%
H 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 8
61.5%
1 2
 
15.4%
4 1
 
7.7%
3 1
 
7.7%
0 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 285
100.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2923
81.2%
Common 658
 
18.3%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 332
 
11.4%
이 87
 
3.0%
사 84
 
2.9%
업 80
 
2.7%
식 74
 
2.5%
회 72
 
2.5%
스 65
 
2.2%
산 64
 
2.2%
인 44
 
1.5%
에 41
 
1.4%
Other values (310) 1980
67.7%
Latin
ValueCountFrequency (%)
M 3
17.6%
S 3
17.6%
O 2
11.8%
C 2
11.8%
B 1
 
5.9%
V 1
 
5.9%
D 1
 
5.9%
P 1
 
5.9%
E 1
 
5.9%
H 1
 
5.9%
Common
ValueCountFrequency (%)
( 285
43.3%
) 285
43.3%
72
 
10.9%
2 8
 
1.2%
& 3
 
0.5%
1 2
 
0.3%
4 1
 
0.2%
3 1
 
0.2%
0 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2923
81.2%
ASCII 675
 
18.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 332
 
11.4%
이 87
 
3.0%
사 84
 
2.9%
업 80
 
2.7%
식 74
 
2.5%
회 72
 
2.5%
스 65
 
2.2%
산 64
 
2.2%
인 44
 
1.5%
에 41
 
1.4%
Other values (310) 1980
67.7%
ASCII
ValueCountFrequency (%)
( 285
42.2%
) 285
42.2%
72
 
10.7%
2 8
 
1.2%
M 3
 
0.4%
S 3
 
0.4%
& 3
 
0.4%
O 2
 
0.3%
C 2
 
0.3%
1 2
 
0.3%
Other values (10) 10
 
1.5%

업종명
Text

Distinct298
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-13T07:55:41.566166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length18.555328
Min length6

Characters and Unicode

Total characters9055
Distinct characters265
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)42.4%

Sample

1st row액상시유 및 기타 낙농제품 제조업
2nd row표면 가공 목재 및 특정 목적용 제재목 제조업 외 4 종
3rd row기타 가공 공작기계 제조업
4th row금속 단조제품 제조업 외 2 종
5th row기타 구조용 금속제품 제조업
ValueCountFrequency (%)
제조업 410
 
13.7%
외 293
 
9.8%
및 241
 
8.1%
종 236
 
7.9%
기타 162
 
5.4%
1 110
 
3.7%
그 57
 
1.9%
2 56
 
1.9%
금속 47
 
1.6%
플라스틱 32
 
1.1%
Other values (371) 1345
45.0%
2023-12-13T07:55:42.123176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2502
27.6%
제 564
 
6.2%
업 531
 
5.9%
조 504
 
5.6%
외 307
 
3.4%
기 293
 
3.2%
및 241
 
2.7%
종 240
 
2.7%
타 166
 
1.8%
품 166
 
1.8%
Other values (255) 3541
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6210
68.6%
Space Separator 2502
27.6%
Decimal Number 243
 
2.7%
Other Punctuation 74
 
0.8%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 564
 
9.1%
업 531
 
8.6%
조 504
 
8.1%
외 307
 
4.9%
기 293
 
4.7%
및 241
 
3.9%
종 240
 
3.9%
타 166
 
2.7%
품 166
 
2.7%
용 161
 
2.6%
Other values (241) 3037
48.9%
Decimal Number
ValueCountFrequency (%)
1 117
48.1%
2 58
23.9%
3 30
 
12.3%
4 18
 
7.4%
5 10
 
4.1%
6 5
 
2.1%
8 3
 
1.2%
9 1
 
0.4%
0 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 72
97.3%
. 2
 
2.7%
Space Separator
ValueCountFrequency (%)
2502
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6210
68.6%
Common 2845
31.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 564
 
9.1%
업 531
 
8.6%
조 504
 
8.1%
외 307
 
4.9%
기 293
 
4.7%
및 241
 
3.9%
종 240
 
3.9%
타 166
 
2.7%
품 166
 
2.7%
용 161
 
2.6%
Other values (241) 3037
48.9%
Common
ValueCountFrequency (%)
2502
87.9%
1 117
 
4.1%
, 72
 
2.5%
2 58
 
2.0%
3 30
 
1.1%
4 18
 
0.6%
) 13
 
0.5%
( 13
 
0.5%
5 10
 
0.4%
6 5
 
0.2%
Other values (4) 7
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6198
68.4%
ASCII 2845
31.4%
Compat Jamo 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2502
87.9%
1 117
 
4.1%
, 72
 
2.5%
2 58
 
2.0%
3 30
 
1.1%
4 18
 
0.6%
) 13
 
0.5%
( 13
 
0.5%
5 10
 
0.4%
6 5
 
0.2%
Other values (4) 7
 
0.2%
Hangul
ValueCountFrequency (%)
제 564
 
9.1%
업 531
 
8.6%
조 504
 
8.1%
외 307
 
5.0%
기 293
 
4.7%
및 241
 
3.9%
종 240
 
3.9%
타 166
 
2.7%
품 166
 
2.7%
용 161
 
2.6%
Other values (240) 3025
48.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%

공장대표주소
Text

MISSING 

Distinct402
Distinct (%)92.0%
Missing51
Missing (%)10.5%
Memory size3.9 KiB
2023-12-13T07:55:42.395544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length42
Mean length26.423341
Min length19

Characters and Unicode

Total characters11547
Distinct characters187
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

Unique372 ?
Unique (%)85.1%

Sample

1st row충청북도 옥천군 옥천읍 의료단지길 56
2nd row충청북도 옥천군 옥천읍 지용로 192
3rd row충청북도 옥천군 옥천읍 테크노밸리로 117
4th row충청북도 옥천군 청산면 인정1길 89
5th row충청북도 옥천군 옥천읍 마암로 125-19
ValueCountFrequency (%)
충청북도 437
 
16.8%
옥천군 437
 
16.8%
옥천읍 205
 
7.9%
공장 156
 
6.0%
동이면 90
 
3.5%
군북면 43
 
1.7%
군서면 37
 
1.4%
옥천동이로 37
 
1.4%
이원면 35
 
1.3%
창고 34
 
1.3%
Other values (499) 1095
42.0%
2023-12-13T07:55:42.887416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2172
18.8%
천 723
 
6.3%
옥 722
 
6.3%
군 517
 
4.5%
청 484
 
4.2%
북 484
 
4.2%
충 441
 
3.8%
도 441
 
3.8%
1 318
 
2.8%
( 282
 
2.4%
Other values (177) 4963
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7000
60.6%
Space Separator 2172
 
18.8%
Decimal Number 1601
 
13.9%
Open Punctuation 282
 
2.4%
Close Punctuation 282
 
2.4%
Dash Punctuation 180
 
1.6%
Other Punctuation 24
 
0.2%
Uppercase Letter 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 723
 
10.3%
옥 722
 
10.3%
군 517
 
7.4%
청 484
 
6.9%
북 484
 
6.9%
충 441
 
6.3%
도 441
 
6.3%
면 242
 
3.5%
공 224
 
3.2%
길 220
 
3.1%
Other values (156) 2502
35.7%
Decimal Number
ValueCountFrequency (%)
1 318
19.9%
2 263
16.4%
3 209
13.1%
5 137
8.6%
7 129
8.1%
6 120
 
7.5%
0 115
 
7.2%
4 109
 
6.8%
9 107
 
6.7%
8 94
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
K 1
33.3%
I 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
v 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
2172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Close Punctuation
ValueCountFrequency (%)
) 282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7000
60.6%
Common 4541
39.3%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 723
 
10.3%
옥 722
 
10.3%
군 517
 
7.4%
청 484
 
6.9%
북 484
 
6.9%
충 441
 
6.3%
도 441
 
6.3%
면 242
 
3.5%
공 224
 
3.2%
길 220
 
3.1%
Other values (156) 2502
35.7%
Common
ValueCountFrequency (%)
2172
47.8%
1 318
 
7.0%
( 282
 
6.2%
) 282
 
6.2%
2 263
 
5.8%
3 209
 
4.6%
- 180
 
4.0%
5 137
 
3.0%
7 129
 
2.8%
6 120
 
2.6%
Other values (5) 449
 
9.9%
Latin
ValueCountFrequency (%)
B 1
16.7%
K 1
16.7%
I 1
16.7%
m 1
16.7%
v 1
16.7%
p 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7000
60.6%
ASCII 4547
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2172
47.8%
1 318
 
7.0%
( 282
 
6.2%
) 282
 
6.2%
2 263
 
5.8%
3 209
 
4.6%
- 180
 
4.0%
5 137
 
3.0%
7 129
 
2.8%
6 120
 
2.6%
Other values (11) 455
 
10.0%
Hangul
ValueCountFrequency (%)
천 723
 
10.3%
옥 722
 
10.3%
군 517
 
7.4%
청 484
 
6.9%
북 484
 
6.9%
충 441
 
6.3%
도 441
 
6.3%
면 242
 
3.5%
공 224
 
3.2%
길 220
 
3.1%
Other values (156) 2502
35.7%

종업원수
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.127049
Minimum0
Maximum407
Zeros11
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2023-12-13T07:55:43.073521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q315
95-th percentile44.3
Maximum407
Range407
Interquartile range (IQR)11

Descriptive statistics

Standard deviation26.500169
Coefficient of variation (CV)1.8758461
Kurtosis108.83274
Mean14.127049
Median Absolute Deviation (MAD)4
Skewness8.7089225
Sum6894
Variance702.25898
MonotonicityNot monotonic
2023-12-13T07:55:43.237177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 48
 
9.8%
4 45
 
9.2%
5 36
 
7.4%
10 34
 
7.0%
2 32
 
6.6%
6 29
 
5.9%
7 27
 
5.5%
8 23
 
4.7%
1 20
 
4.1%
15 18
 
3.7%
Other values (52) 176
36.1%
ValueCountFrequency (%)
0 11
 
2.3%
1 20
4.1%
2 32
6.6%
3 48
9.8%
4 45
9.2%
5 36
7.4%
6 29
5.9%
7 27
5.5%
8 23
4.7%
9 10
 
2.0%
ValueCountFrequency (%)
407 1
0.2%
202 1
0.2%
172 1
0.2%
168 1
0.2%
117 1
0.2%
100 1
0.2%
83 1
0.2%
75 1
0.2%
72 2
0.4%
70 1
0.2%

전화번호
Text

MISSING 

Distinct403
Distinct (%)93.3%
Missing56
Missing (%)11.5%
Memory size3.9 KiB
2023-12-13T07:55:43.512316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.99537
Min length9

Characters and Unicode

Total characters5182
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

Unique380 ?
Unique (%)88.0%

Sample

1st row042-335-9294
2nd row043-731-2300
3rd row043-385-2534
4th row043-733-7559
5th row042-637-7778
ValueCountFrequency (%)
043-733-7208 7
 
1.6%
043-733-6845 3
 
0.7%
043-731-7320 2
 
0.5%
043-731-7230 2
 
0.5%
043-733-4633 2
 
0.5%
043-733-7830 2
 
0.5%
043-733-8203 2
 
0.5%
043-733-9116 2
 
0.5%
043-731-3525 2
 
0.5%
043-731-8127 2
 
0.5%
Other values (393) 406
94.0%
2023-12-13T07:55:43.937506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1114
21.5%
- 860
16.6%
0 711
13.7%
7 596
11.5%
4 574
11.1%
1 360
 
6.9%
2 273
 
5.3%
8 204
 
3.9%
6 174
 
3.4%
5 172
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4322
83.4%
Dash Punctuation 860
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1114
25.8%
0 711
16.5%
7 596
13.8%
4 574
13.3%
1 360
 
8.3%
2 273
 
6.3%
8 204
 
4.7%
6 174
 
4.0%
5 172
 
4.0%
9 144
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 860
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5182
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1114
21.5%
- 860
16.6%
0 711
13.7%
7 596
11.5%
4 574
11.1%
1 360
 
6.9%
2 273
 
5.3%
8 204
 
3.9%
6 174
 
3.4%
5 172
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5182
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1114
21.5%
- 860
16.6%
0 711
13.7%
7 596
11.5%
4 574
11.1%
1 360
 
6.9%
2 273
 
5.3%
8 204
 
3.9%
6 174
 
3.4%
5 172
 
3.3%

Interactions

2023-12-13T07:55:39.531270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:39.316139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:39.645675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:39.427353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:55:44.043121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.0000.211
종업원수0.2111.000
2023-12-13T07:55:44.146183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.000-0.169
종업원수-0.1691.000

Missing values

2023-12-13T07:55:39.792587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:55:39.916516image/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.
2023-12-13T07:55:40.039136image/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

순번회사명업종명공장대표주소종업원수전화번호
01(주) 본데어리액상시유 및 기타 낙농제품 제조업충청북도 옥천군 옥천읍 의료단지길 5615042-335-9294
12(주) 엘림산업표면 가공 목재 및 특정 목적용 제재목 제조업 외 4 종충청북도 옥천군 옥천읍 지용로 1926043-731-2300
23(주) 엘텍코리아기타 가공 공작기계 제조업충청북도 옥천군 옥천읍 테크노밸리로 1177043-385-2534
34(주)가람에스티금속 단조제품 제조업 외 2 종충청북도 옥천군 청산면 인정1길 8925043-733-7559
45(주)강토이앤씨기타 구조용 금속제품 제조업충청북도 옥천군 옥천읍 마암로 125-192042-637-7778
56(주)거우플라스틱 창호 제조업 외 1 종충청북도 옥천군 옥천읍 옥천동이로 387-81 (공장)12043-732-3196
67(주)건영제과과자류 및 코코아 제품 제조업 외 3 종충청북도 옥천군 옥천읍 지용로 134-14 외 2필지19<NA>
78(주)계룡식품면류, 마카로니 및 유사식품 제조업 외 2 종충청북도 옥천군 옥천읍 옥지로 563 외 3필지14043-731-6678
89(주)고려에프앤비차류 가공업 외 1 종충청북도 옥천군 이원면 묘목로 152 (공장) 외 2필지10043-733-8233
910(주)고추명가참식품천연 및 혼합조제 조미료 제조업충청북도 옥천군 옥천읍 대천길 47-29 (공장)2043-731-1591
순번회사명업종명공장대표주소종업원수전화번호
478479현대오피스 유한책임회사사무용 기계 및 장비 제조업<NA>57<NA>
479480현대자동차(주)항공 및 육상 화물 취급업<NA>35<NA>
480481형제콘테이너기타 구조용 금속제품 제조업 외 3 종<NA>10<NA>
481482호산테크(주)농업 및 임업용 기계 제조업<NA>18<NA>
482483화승전기배전반 및 전기 자동제어반 제조업<NA>12<NA>
483484화신금형사주형 및 금형 제조업<NA>3<NA>
484485화인식품천연 및 혼합조제 조미료 제조업<NA>2<NA>
485486화인테크농업 및 임업용 기계 제조업<NA>3<NA>
486487효성정공주형 및 금형 제조업<NA>4<NA>
487488효원그 외 자동차용 신품 부품 제조업<NA>26<NA>