Overview

Dataset statistics

Number of variables6
Number of observations33
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory53.0 B

Variable types

Text5
Numeric1

Dataset

Description전라북도 임실군 제조업체현황 데이터 입니다. 데이터 세부내역에는 회사명, 전화번호, 종업원, 생산품, 업종명, 공장대표주소 데이터를 제공합니다.
Author전라북도 임실군
URLhttps://www.data.go.kr/data/15034934/fileData.do

Alerts

전화번호 has 1 (3.0%) missing valuesMissing
회사명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:09:33.584391
Analysis finished2023-12-12 07:09:34.273334
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:09:34.434641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length8
Min length4

Characters and Unicode

Total characters264
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

Unique33 ?
Unique (%)100.0%

Sample

1st row(유)세일산업
2nd row(유)완암산업
3rd row(유)정림
4th row(주)궁중
5th row(주)대명산업
ValueCountFrequency (%)
주식회사 8
 
17.0%
농업회사법인 3
 
6.4%
주)사조오양 2
 
4.3%
유한회사 2
 
4.3%
유)세일산업 1
 
2.1%
무한랜드 1
 
2.1%
에버스톤 1
 
2.1%
오선 1
 
2.1%
월드티엔씨 1
 
2.1%
제2공장 1
 
2.1%
Other values (26) 26
55.3%
2023-12-12T16:09:34.794160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
10.2%
( 21
 
8.0%
) 21
 
8.0%
15
 
5.7%
14
 
5.3%
13
 
4.9%
9
 
3.4%
8
 
3.0%
7
 
2.7%
6
 
2.3%
Other values (82) 123
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
78.4%
Open Punctuation 21
 
8.0%
Close Punctuation 21
 
8.0%
Space Separator 14
 
5.3%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
27
 
13.0%
15
 
7.2%
13
 
6.3%
9
 
4.3%
8
 
3.9%
7
 
3.4%
6
 
2.9%
5
 
2.4%
4
 
1.9%
4
 
1.9%
Other values (78) 109
52.7%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
78.4%
Common 57
 
21.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
27
 
13.0%
15
 
7.2%
13
 
6.3%
9
 
4.3%
8
 
3.9%
7
 
3.4%
6
 
2.9%
5
 
2.4%
4
 
1.9%
4
 
1.9%
Other values (78) 109
52.7%
Common
ValueCountFrequency (%)
( 21
36.8%
) 21
36.8%
14
24.6%
2 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
78.4%
ASCII 57
 
21.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
27
 
13.0%
15
 
7.2%
13
 
6.3%
9
 
4.3%
8
 
3.9%
7
 
3.4%
6
 
2.9%
5
 
2.4%
4
 
1.9%
4
 
1.9%
Other values (78) 109
52.7%
ASCII
ValueCountFrequency (%)
( 21
36.8%
) 21
36.8%
14
24.6%
2 1
 
1.8%

전화번호
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing1
Missing (%)3.0%
Memory size396.0 B
2023-12-12T16:09:35.042247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.03125
Min length12

Characters and Unicode

Total characters385
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

Unique28 ?
Unique (%)87.5%

Sample

1st row063-644-7070
2nd row063-644-3500
3rd row070-8768-4434
4th row063-644-2500
5th row063-644-0204
ValueCountFrequency (%)
063-642-9888 2
 
6.2%
063-642-2035 2
 
6.2%
063-644-7070 1
 
3.1%
063-644-9398 1
 
3.1%
063-214-9773 1
 
3.1%
063-642-7222 1
 
3.1%
063-643-1155 1
 
3.1%
063-643-9333 1
 
3.1%
063-643-2475 1
 
3.1%
063-643-3315 1
 
3.1%
Other values (20) 20
62.5%
2023-12-12T16:09:35.404087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 65
16.9%
- 64
16.6%
3 56
14.5%
0 53
13.8%
4 48
12.5%
2 28
7.3%
8 16
 
4.2%
5 15
 
3.9%
7 15
 
3.9%
9 13
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 321
83.4%
Dash Punctuation 64
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 65
20.2%
3 56
17.4%
0 53
16.5%
4 48
15.0%
2 28
8.7%
8 16
 
5.0%
5 15
 
4.7%
7 15
 
4.7%
9 13
 
4.0%
1 12
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 65
16.9%
- 64
16.6%
3 56
14.5%
0 53
13.8%
4 48
12.5%
2 28
7.3%
8 16
 
4.2%
5 15
 
3.9%
7 15
 
3.9%
9 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 65
16.9%
- 64
16.6%
3 56
14.5%
0 53
13.8%
4 48
12.5%
2 28
7.3%
8 16
 
4.2%
5 15
 
3.9%
7 15
 
3.9%
9 13
 
3.4%

종업원
Real number (ℝ)

Distinct19
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.181818
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T16:09:35.519256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median9
Q318
95-th percentile24.6
Maximum30
Range29
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.0446199
Coefficient of variation (CV)0.71943755
Kurtosis-0.58037089
Mean11.181818
Median Absolute Deviation (MAD)5
Skewness0.69304891
Sum369
Variance64.715909
MonotonicityNot monotonic
2023-12-12T16:09:35.649482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 4
12.1%
6 4
12.1%
5 3
 
9.1%
9 2
 
6.1%
20 2
 
6.1%
14 2
 
6.1%
7 2
 
6.1%
10 2
 
6.1%
18 2
 
6.1%
8 1
 
3.0%
Other values (9) 9
27.3%
ValueCountFrequency (%)
1 1
 
3.0%
2 4
12.1%
3 1
 
3.0%
5 3
9.1%
6 4
12.1%
7 2
6.1%
8 1
 
3.0%
9 2
6.1%
10 2
6.1%
12 1
 
3.0%
ValueCountFrequency (%)
30 1
3.0%
27 1
3.0%
23 1
3.0%
22 1
3.0%
21 1
3.0%
20 2
6.1%
19 1
3.0%
18 2
6.1%
14 2
6.1%
12 1
3.0%
Distinct29
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:09:35.856960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length17
Mean length12.181818
Min length2

Characters and Unicode

Total characters402
Distinct characters121
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)75.8%

Sample

1st row금속선 가공제품
2nd row구조용 금속 판제품 및 공작물
3rd row금속탱크 및 저장용기
4th row수산동물 훈제, 조리 및 유사 조제식품
5th row콘크리트 타일, 기와, 벽돌 및 블록
ValueCountFrequency (%)
13
 
12.0%
금속 7
 
6.5%
기타 5
 
4.6%
육상 3
 
2.8%
화장지 2
 
1.9%
목재 2
 
1.9%
배전반 2
 
1.9%
구조재 2
 
1.9%
골조 2
 
1.9%
금속탱크 2
 
1.9%
Other values (61) 68
63.0%
2023-12-12T16:09:36.220240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
22.1%
14
 
3.5%
13
 
3.2%
, 12
 
3.0%
11
 
2.7%
11
 
2.7%
11
 
2.7%
11
 
2.7%
11
 
2.7%
9
 
2.2%
Other values (111) 210
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
73.1%
Space Separator 89
 
22.1%
Other Punctuation 15
 
3.7%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
4.8%
13
 
4.4%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
9
 
3.1%
8
 
2.7%
7
 
2.4%
Other values (106) 188
63.9%
Other Punctuation
ValueCountFrequency (%)
, 12
80.0%
. 3
 
20.0%
Space Separator
ValueCountFrequency (%)
89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
73.1%
Common 108
 
26.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
4.8%
13
 
4.4%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
9
 
3.1%
8
 
2.7%
7
 
2.4%
Other values (106) 188
63.9%
Common
ValueCountFrequency (%)
89
82.4%
, 12
 
11.1%
. 3
 
2.8%
) 2
 
1.9%
( 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
72.9%
ASCII 108
 
26.9%
Compat Jamo 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
82.4%
, 12
 
11.1%
. 3
 
2.8%
) 2
 
1.9%
( 2
 
1.9%
Hangul
ValueCountFrequency (%)
14
 
4.8%
13
 
4.4%
11
 
3.8%
11
 
3.8%
11
 
3.8%
11
 
3.8%
11
 
3.8%
9
 
3.1%
8
 
2.7%
7
 
2.4%
Other values (105) 187
63.8%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:09:36.483625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length17.666667
Min length2

Characters and Unicode

Total characters583
Distinct characters131
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

Unique31 ?
Unique (%)93.9%

Sample

1st row금속선 가공제품 제조업 외 2 종
2nd row구조용 금속 판제품 및 공작물 제조업 외 4 종
3rd row금속탱크 및 저장용기 제조업 외 7 종
4th row수산동물 훈제, 조리 및 유사 조제식품 제조업
5th row콘크리트 타일, 기와, 벽돌 및 블록 제조업
ValueCountFrequency (%)
제조업 21
 
11.7%
15
 
8.4%
15
 
8.4%
15
 
8.4%
금속 7
 
3.9%
기타 5
 
2.8%
2 4
 
2.2%
육상 3
 
1.7%
1 3
 
1.7%
화장지 2
 
1.1%
Other values (75) 89
49.7%
2023-12-12T16:09:36.905628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
25.0%
34
 
5.8%
34
 
5.8%
23
 
3.9%
15
 
2.6%
15
 
2.6%
15
 
2.6%
, 12
 
2.1%
11
 
1.9%
11
 
1.9%
Other values (121) 267
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
69.0%
Space Separator 146
 
25.0%
Decimal Number 16
 
2.7%
Other Punctuation 15
 
2.6%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
34
 
8.5%
34
 
8.5%
23
 
5.7%
15
 
3.7%
15
 
3.7%
15
 
3.7%
11
 
2.7%
11
 
2.7%
11
 
2.7%
11
 
2.7%
Other values (109) 222
55.2%
Decimal Number
ValueCountFrequency (%)
2 5
31.2%
1 4
25.0%
4 2
 
12.5%
3 2
 
12.5%
6 1
 
6.2%
7 1
 
6.2%
8 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 12
80.0%
. 3
 
20.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
69.0%
Common 181
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
34
 
8.5%
34
 
8.5%
23
 
5.7%
15
 
3.7%
15
 
3.7%
15
 
3.7%
11
 
2.7%
11
 
2.7%
11
 
2.7%
11
 
2.7%
Other values (109) 222
55.2%
Common
ValueCountFrequency (%)
146
80.7%
, 12
 
6.6%
2 5
 
2.8%
1 4
 
2.2%
. 3
 
1.7%
( 2
 
1.1%
4 2
 
1.1%
3 2
 
1.1%
) 2
 
1.1%
6 1
 
0.6%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 401
68.8%
ASCII 181
31.0%
Compat Jamo 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
80.7%
, 12
 
6.6%
2 5
 
2.8%
1 4
 
2.2%
. 3
 
1.7%
( 2
 
1.1%
4 2
 
1.1%
3 2
 
1.1%
) 2
 
1.1%
6 1
 
0.6%
Other values (2) 2
 
1.1%
Hangul
ValueCountFrequency (%)
34
 
8.5%
34
 
8.5%
23
 
5.7%
15
 
3.7%
15
 
3.7%
15
 
3.7%
11
 
2.7%
11
 
2.7%
11
 
2.7%
11
 
2.7%
Other values (108) 221
55.1%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct28
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T16:09:37.162266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length36
Mean length24.575758
Min length20

Characters and Unicode

Total characters811
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)69.7%

Sample

1st row전라북도 임실군 오수면 금암1길 39-6 (세일 산업)
2nd row전라북도 임실군 오수면 금암1길 55-8 (완암산업)
3rd row전라북도 임실군 오수면 금암1길 62-11
4th row전라북도 임실군 오수면 금암1길 46 (해 그림)
5th row전라북도 임실군 임실읍 호반로 363-5 (㈜신우 산업) (총 3 필지)
ValueCountFrequency (%)
전라북도 33
17.7%
임실군 33
17.7%
오수면 24
12.9%
금암1길 20
10.8%
신평면 11
 
5.9%
대리3길 10
 
5.4%
34 3
 
1.6%
산업 2
 
1.1%
39-6 2
 
1.1%
오수농공단지 2
 
1.1%
Other values (39) 46
24.7%
2023-12-12T16:09:37.543054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
19.1%
1 38
 
4.7%
36
 
4.4%
34
 
4.2%
34
 
4.2%
33
 
4.1%
33
 
4.1%
33
 
4.1%
33
 
4.1%
33
 
4.1%
Other values (61) 349
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
60.3%
Space Separator 155
 
19.1%
Decimal Number 122
 
15.0%
Dash Punctuation 14
 
1.7%
Open Punctuation 13
 
1.6%
Close Punctuation 13
 
1.6%
Other Punctuation 3
 
0.4%
Other Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
36
 
7.4%
34
 
7.0%
34
 
7.0%
33
 
6.7%
33
 
6.7%
33
 
6.7%
33
 
6.7%
33
 
6.7%
30
 
6.1%
26
 
5.3%
Other values (45) 164
33.5%
Decimal Number
ValueCountFrequency (%)
1 38
31.1%
3 22
18.0%
6 19
15.6%
4 9
 
7.4%
5 9
 
7.4%
2 8
 
6.6%
8 8
 
6.6%
9 4
 
3.3%
7 3
 
2.5%
0 2
 
1.6%
Space Separator
ValueCountFrequency (%)
155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
60.5%
Common 320
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
36
 
7.3%
34
 
6.9%
34
 
6.9%
33
 
6.7%
33
 
6.7%
33
 
6.7%
33
 
6.7%
33
 
6.7%
30
 
6.1%
26
 
5.3%
Other values (46) 166
33.8%
Common
ValueCountFrequency (%)
155
48.4%
1 38
 
11.9%
3 22
 
6.9%
6 19
 
5.9%
- 14
 
4.4%
( 13
 
4.1%
) 13
 
4.1%
4 9
 
2.8%
5 9
 
2.8%
2 8
 
2.5%
Other values (5) 20
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
60.3%
ASCII 320
39.5%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
48.4%
1 38
 
11.9%
3 22
 
6.9%
6 19
 
5.9%
- 14
 
4.4%
( 13
 
4.1%
) 13
 
4.1%
4 9
 
2.8%
5 9
 
2.8%
2 8
 
2.5%
Other values (5) 20
 
6.2%
Hangul
ValueCountFrequency (%)
36
 
7.4%
34
 
7.0%
34
 
7.0%
33
 
6.7%
33
 
6.7%
33
 
6.7%
33
 
6.7%
33
 
6.7%
30
 
6.1%
26
 
5.3%
Other values (45) 164
33.5%
None
ValueCountFrequency (%)
2
100.0%

Interactions

2023-12-12T16:09:34.000707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:09:37.670040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명전화번호종업원생산품업종명공장대표주소(도로명)
회사명1.0001.0001.0001.0001.0001.000
전화번호1.0001.0000.9950.9660.9740.985
종업원1.0000.9951.0000.8930.9760.790
생산품1.0000.9660.8931.0001.0000.950
업종명1.0000.9740.9761.0001.0000.982
공장대표주소(도로명)1.0000.9850.7900.9500.9821.000

Missing values

2023-12-12T16:09:34.117770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:09:34.229242image/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

회사명전화번호종업원생산품업종명공장대표주소(도로명)
0(유)세일산업063-644-70709금속선 가공제품금속선 가공제품 제조업 외 2 종전라북도 임실군 오수면 금암1길 39-6 (세일 산업)
1(유)완암산업063-644-350018구조용 금속 판제품 및 공작물구조용 금속 판제품 및 공작물 제조업 외 4 종전라북도 임실군 오수면 금암1길 55-8 (완암산업)
2(유)정림070-8768-44342금속탱크 및 저장용기금속탱크 및 저장용기 제조업 외 7 종전라북도 임실군 오수면 금암1길 62-11
3(주)궁중063-644-250020수산동물 훈제, 조리 및 유사 조제식품수산동물 훈제, 조리 및 유사 조제식품 제조업전라북도 임실군 오수면 금암1길 46 (해 그림)
4(주)대명산업063-644-020418콘크리트 타일, 기와, 벽돌 및 블록콘크리트 타일, 기와, 벽돌 및 블록 제조업전라북도 임실군 임실읍 호반로 363-5 (㈜신우 산업) (총 3 필지)
5(주)메트로비엔에프063-642-156114액상시유 및 기타 낙농제품액상시유 및 기타 낙농제품 제조업 외 1 종전라북도 임실군 관촌면 관진로 112-4
6(주)신성이앤지063-642-98886금속탱크 및 저장용기금속탱크 및 저장용기 제조업 외 3 종전라북도 임실군 오수면 금암1길 61
7(주)씨디코리아063-643-95777기타 건축용 나무제품기타 건축용 나무제품 제조업 외 4 종전라북도 임실군 오수면 금암1길 39-16, (오수농공단지 내)
8(주)아트캠031-988-78802코르크 및 조물제품코르크 및 조물제품 제조업전라북도 임실군 오수면 금암1길 47
9(주)일천063-642-500021기타 식품 첨가물기타 식품 첨가물 제조업전라북도 임실군 오수면 금암1길 36 (오수면)
회사명전화번호종업원생산품업종명공장대표주소(도로명)
23(주)사조오양063-642-20352만두만두전라북도 임실군 신평면 대리3길 20
24(주)사조오양 제2공장063-642-20358냉동만두냉동만두전라북도 임실군 신평면 대리3길 18-8
25(주)진성기업063-643-939227학생용 책상 (고정식.조절식) 목재 사무용, 주방용가구학생용 책상 (고정식.조절식) 목재 사무용가구, 주방용가구전라북도 임실군 신평면 대리3길 26-11 (㈜진성기업)
26경보제지(주)063-643-331519화장지류화장지류전라북도 임실군 신평면 대리3길 40
27노빌코리아(주)063-643-24752생활도자기 (공기.대접.찬통)생활도자기 (공기.대접.찬통)전라북도 임실군 신평면 대리3길 18 (신평면)
28농업회사법인 (주)미가063-643-93336김치, 절임배추김치, 절임배추전라북도 임실군 신평면 대리3길 28
29동산제지063-643-11556화장지화장지전라북도 임실군 신평면 대리3길 34
30유한회사 대일썬파워063-642-72223금속조립구조재, 배전반, 태양광발전장치금속조립구조재, 배전반, 태양광발전장치전라북도 임실군 신평면 대리3길 34
31하얀페이퍼063-214-97731화장지화장지전라북도 임실군 신평면 대리3길 34, 하얀페이퍼
32한솔개발(주)063-643-250014지관지관전라북도 임실군 신평면 대리3길 18-17 (한솔개발)