Overview

Dataset statistics

Number of variables5
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory41.2 B

Variable types

Text5

Dataset

Description관내 공장 등록된 공장현황 (회사명, 전화번호, 팩스번호, 공장대표주소, 업종명, 생산품, 대표명)
Author강원도 철원군
URLhttps://www.data.go.kr/data/15035085/fileData.do

Reproduction

Analysis started2023-12-12 08:33:18.123404
Analysis finished2023-12-12 08:33:19.346663
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct106
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T17:33:19.578189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length8.0560748
Min length3

Characters and Unicode

Total characters862
Distinct characters182
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)98.1%

Sample

1st row(주)강토산업
2nd row(주)경성특수콘크리트
3rd row(주)구룡제약
4th row(주)그래미
5th row(주)동양레미콘산업
ValueCountFrequency (%)
주식회사 14
 
10.5%
농업회사법인 3
 
2.3%
강원시설물(주 2
 
1.5%
주)세원상사 2
 
1.5%
올텍 2
 
1.5%
제2공장 2
 
1.5%
철원지점 2
 
1.5%
영농조합법인두루미 1
 
0.8%
엘피산전 1
 
0.8%
철원레미콘산업 1
 
0.8%
Other values (103) 103
77.4%
2023-12-12T17:33:20.122949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
7.2%
( 50
 
5.8%
) 50
 
5.8%
33
 
3.8%
26
 
3.0%
22
 
2.6%
22
 
2.6%
21
 
2.4%
20
 
2.3%
19
 
2.2%
Other values (172) 537
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
84.3%
Open Punctuation 50
 
5.8%
Close Punctuation 50
 
5.8%
Space Separator 26
 
3.0%
Uppercase Letter 6
 
0.7%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
8.5%
33
 
4.5%
22
 
3.0%
22
 
3.0%
21
 
2.9%
20
 
2.8%
19
 
2.6%
18
 
2.5%
18
 
2.5%
18
 
2.5%
Other values (162) 474
65.2%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
Z 1
16.7%
M 1
16.7%
L 1
16.7%
E 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
1 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
84.3%
Common 129
 
15.0%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
8.5%
33
 
4.5%
22
 
3.0%
22
 
3.0%
21
 
2.9%
20
 
2.8%
19
 
2.6%
18
 
2.5%
18
 
2.5%
18
 
2.5%
Other values (162) 474
65.2%
Common
ValueCountFrequency (%)
( 50
38.8%
) 50
38.8%
26
20.2%
2 2
 
1.6%
1 1
 
0.8%
Latin
ValueCountFrequency (%)
D 2
33.3%
Z 1
16.7%
M 1
16.7%
L 1
16.7%
E 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
84.3%
ASCII 135
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
62
 
8.5%
33
 
4.5%
22
 
3.0%
22
 
3.0%
21
 
2.9%
20
 
2.8%
19
 
2.6%
18
 
2.5%
18
 
2.5%
18
 
2.5%
Other values (162) 474
65.2%
ASCII
ValueCountFrequency (%)
( 50
37.0%
) 50
37.0%
26
19.3%
D 2
 
1.5%
2 2
 
1.5%
Z 1
 
0.7%
M 1
 
0.7%
L 1
 
0.7%
E 1
 
0.7%
1 1
 
0.7%
Distinct101
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T17:33:20.501513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0654206
Min length2

Characters and Unicode

Total characters328
Distinct characters104
Distinct categories2 ?
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 (%)88.8%

Sample

1st row김희주
2nd row조정분
3rd row전제남
4th row남종현
5th row장형욱
ValueCountFrequency (%)
조정분 2
 
1.9%
권명선 2
 
1.9%
이민세 2
 
1.9%
최진열 2
 
1.9%
이태식 2
 
1.9%
변미영 2
 
1.9%
이현종 1
 
0.9%
김태훈 1
 
0.9%
배경수 1
 
0.9%
이재운 1
 
0.9%
Other values (91) 91
85.0%
2023-12-12T17:33:21.075295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
6.4%
14
 
4.3%
11
 
3.4%
10
 
3.0%
9
 
2.7%
7
 
2.1%
7
 
2.1%
7
 
2.1%
7
 
2.1%
6
 
1.8%
Other values (94) 229
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
99.4%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
6.4%
14
 
4.3%
11
 
3.4%
10
 
3.1%
9
 
2.8%
7
 
2.1%
7
 
2.1%
7
 
2.1%
7
 
2.1%
6
 
1.8%
Other values (93) 227
69.6%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
99.4%
Common 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
6.4%
14
 
4.3%
11
 
3.4%
10
 
3.1%
9
 
2.8%
7
 
2.1%
7
 
2.1%
7
 
2.1%
7
 
2.1%
6
 
1.8%
Other values (93) 227
69.6%
Common
ValueCountFrequency (%)
, 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
99.4%
ASCII 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
21
 
6.4%
14
 
4.3%
11
 
3.4%
10
 
3.1%
9
 
2.8%
7
 
2.1%
7
 
2.1%
7
 
2.1%
7
 
2.1%
6
 
1.8%
Other values (93) 227
69.6%
ASCII
ValueCountFrequency (%)
, 2
100.0%
Distinct84
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T17:33:21.383084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length28
Mean length8.8317757
Min length1

Characters and Unicode

Total characters945
Distinct characters256
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

Unique76 ?
Unique (%)71.0%

Sample

1st row레미콘
2nd row콘크리트수로관
3rd row인진쑥,칡즙
4th row여명808,다미나909,육향,왕춘주
5th row레미콘
ValueCountFrequency (%)
14
 
9.0%
8
 
5.2%
5
 
3.2%
레미콘 5
 
3.2%
아스콘 3
 
1.9%
탁주 3
 
1.9%
비료 2
 
1.3%
소고기,돼지고기 2
 
1.3%
인조가발사 2
 
1.3%
led조명 2
 
1.3%
Other values (106) 109
70.3%
2023-12-12T17:33:21.870026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 82
 
8.7%
49
 
5.2%
29
 
3.1%
15
 
1.6%
15
 
1.6%
14
 
1.5%
14
 
1.5%
13
 
1.4%
12
 
1.3%
12
 
1.3%
Other values (246) 690
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 760
80.4%
Other Punctuation 83
 
8.8%
Space Separator 49
 
5.2%
Uppercase Letter 37
 
3.9%
Decimal Number 6
 
0.6%
Open Punctuation 4
 
0.4%
Close Punctuation 4
 
0.4%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
3.8%
15
 
2.0%
15
 
2.0%
14
 
1.8%
14
 
1.8%
13
 
1.7%
12
 
1.6%
12
 
1.6%
11
 
1.4%
11
 
1.4%
Other values (226) 614
80.8%
Uppercase Letter
ValueCountFrequency (%)
E 10
27.0%
D 8
21.6%
L 7
18.9%
C 3
 
8.1%
P 3
 
8.1%
V 2
 
5.4%
O 1
 
2.7%
M 1
 
2.7%
R 1
 
2.7%
T 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
9 2
33.3%
0 2
33.3%
8 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 82
98.8%
. 1
 
1.2%
Space Separator
ValueCountFrequency (%)
49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 760
80.4%
Common 148
 
15.7%
Latin 37
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
3.8%
15
 
2.0%
15
 
2.0%
14
 
1.8%
14
 
1.8%
13
 
1.7%
12
 
1.6%
12
 
1.6%
11
 
1.4%
11
 
1.4%
Other values (226) 614
80.8%
Common
ValueCountFrequency (%)
, 82
55.4%
49
33.1%
( 4
 
2.7%
) 4
 
2.7%
9 2
 
1.4%
0 2
 
1.4%
8 2
 
1.4%
+ 1
 
0.7%
- 1
 
0.7%
. 1
 
0.7%
Latin
ValueCountFrequency (%)
E 10
27.0%
D 8
21.6%
L 7
18.9%
C 3
 
8.1%
P 3
 
8.1%
V 2
 
5.4%
O 1
 
2.7%
M 1
 
2.7%
R 1
 
2.7%
T 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 760
80.4%
ASCII 185
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 82
44.3%
49
26.5%
E 10
 
5.4%
D 8
 
4.3%
L 7
 
3.8%
( 4
 
2.2%
) 4
 
2.2%
C 3
 
1.6%
P 3
 
1.6%
9 2
 
1.1%
Other values (10) 13
 
7.0%
Hangul
ValueCountFrequency (%)
29
 
3.8%
15
 
2.0%
15
 
2.0%
14
 
1.8%
14
 
1.8%
13
 
1.7%
12
 
1.6%
12
 
1.6%
11
 
1.4%
11
 
1.4%
Other values (226) 614
80.8%
Distinct100
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T17:33:22.266052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length28.953271
Min length18

Characters and Unicode

Total characters3098
Distinct characters180
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

Unique96 ?
Unique (%)89.7%

Sample

1st row강원도 철원군 갈말읍 궁예로 766 ((주)강토산업)
2nd row강원도 철원군 서면 금강로 7490 (경성특수콘크리트(주))
3rd row강원도 철원군 김화읍 외골길 33-39 (구룡제약 사업부)
4th row강원도 철원군 갈말읍 갈말로 32-30 ((주)그래미) (총 2 필지)
5th row강원도 철원군 갈말읍 숙소골길 23 (동양)
ValueCountFrequency (%)
강원도 107
 
15.2%
철원군 107
 
15.2%
김화읍 38
 
5.4%
외골길 33
 
4.7%
갈말읍 29
 
4.1%
필지 29
 
4.1%
29
 
4.1%
동송읍 25
 
3.5%
2 22
 
3.1%
서면 11
 
1.6%
Other values (195) 275
39.0%
2023-12-12T17:33:22.899720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
603
19.5%
235
 
7.6%
123
 
4.0%
114
 
3.7%
108
 
3.5%
107
 
3.5%
) 102
 
3.3%
( 102
 
3.3%
100
 
3.2%
1 81
 
2.6%
Other values (170) 1423
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1780
57.5%
Space Separator 603
 
19.5%
Decimal Number 442
 
14.3%
Close Punctuation 102
 
3.3%
Open Punctuation 102
 
3.3%
Dash Punctuation 56
 
1.8%
Other Punctuation 11
 
0.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
235
 
13.2%
123
 
6.9%
114
 
6.4%
108
 
6.1%
107
 
6.0%
100
 
5.6%
53
 
3.0%
50
 
2.8%
46
 
2.6%
39
 
2.2%
Other values (153) 805
45.2%
Decimal Number
ValueCountFrequency (%)
1 81
18.3%
2 76
17.2%
3 62
14.0%
4 41
9.3%
8 35
7.9%
5 35
7.9%
7 32
 
7.2%
6 30
 
6.8%
0 27
 
6.1%
9 23
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
603
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1780
57.5%
Common 1316
42.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
235
 
13.2%
123
 
6.9%
114
 
6.4%
108
 
6.1%
107
 
6.0%
100
 
5.6%
53
 
3.0%
50
 
2.8%
46
 
2.6%
39
 
2.2%
Other values (153) 805
45.2%
Common
ValueCountFrequency (%)
603
45.8%
) 102
 
7.8%
( 102
 
7.8%
1 81
 
6.2%
2 76
 
5.8%
3 62
 
4.7%
- 56
 
4.3%
4 41
 
3.1%
8 35
 
2.7%
5 35
 
2.7%
Other values (5) 123
 
9.3%
Latin
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1780
57.5%
ASCII 1318
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
603
45.8%
) 102
 
7.7%
( 102
 
7.7%
1 81
 
6.1%
2 76
 
5.8%
3 62
 
4.7%
- 56
 
4.2%
4 41
 
3.1%
8 35
 
2.7%
5 35
 
2.7%
Other values (7) 125
 
9.5%
Hangul
ValueCountFrequency (%)
235
 
13.2%
123
 
6.9%
114
 
6.4%
108
 
6.1%
107
 
6.0%
100
 
5.6%
53
 
3.0%
50
 
2.8%
46
 
2.6%
39
 
2.2%
Other values (153) 805
45.2%
Distinct74
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T17:33:23.321748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length16.82243
Min length6

Characters and Unicode

Total characters1800
Distinct characters163
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

Unique59 ?
Unique (%)55.1%

Sample

1st row레미콘 제조업
2nd row콘크리트 관 및 기타 구조용 콘크리트 제품 제조업
3rd row건강보조용 액화식품 제조업
4th row차류 가공업 외 3 종
5th row레미콘 제조업
ValueCountFrequency (%)
제조업 83
 
14.0%
57
 
9.6%
50
 
8.4%
48
 
8.1%
기타 26
 
4.4%
1 19
 
3.2%
곡물 15
 
2.5%
도정업 14
 
2.4%
2 11
 
1.9%
콘크리트 8
 
1.3%
Other values (132) 263
44.3%
2023-12-12T17:33:23.916198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
487
27.1%
115
 
6.4%
114
 
6.3%
102
 
5.7%
63
 
3.5%
50
 
2.8%
50
 
2.8%
49
 
2.7%
29
 
1.6%
29
 
1.6%
Other values (153) 712
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1235
68.6%
Space Separator 487
 
27.1%
Decimal Number 53
 
2.9%
Other Punctuation 13
 
0.7%
Close Punctuation 6
 
0.3%
Open Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
 
9.3%
114
 
9.2%
102
 
8.3%
63
 
5.1%
50
 
4.0%
50
 
4.0%
49
 
4.0%
29
 
2.3%
29
 
2.3%
26
 
2.1%
Other values (139) 608
49.2%
Decimal Number
ValueCountFrequency (%)
1 22
41.5%
2 14
26.4%
3 6
 
11.3%
4 5
 
9.4%
7 2
 
3.8%
8 1
 
1.9%
6 1
 
1.9%
9 1
 
1.9%
5 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
. 1
 
7.7%
Space Separator
ValueCountFrequency (%)
487
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1235
68.6%
Common 565
31.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
 
9.3%
114
 
9.2%
102
 
8.3%
63
 
5.1%
50
 
4.0%
50
 
4.0%
49
 
4.0%
29
 
2.3%
29
 
2.3%
26
 
2.1%
Other values (139) 608
49.2%
Common
ValueCountFrequency (%)
487
86.2%
1 22
 
3.9%
2 14
 
2.5%
, 12
 
2.1%
) 6
 
1.1%
( 6
 
1.1%
3 6
 
1.1%
4 5
 
0.9%
7 2
 
0.4%
8 1
 
0.2%
Other values (4) 4
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1235
68.6%
ASCII 565
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
487
86.2%
1 22
 
3.9%
2 14
 
2.5%
, 12
 
2.1%
) 6
 
1.1%
( 6
 
1.1%
3 6
 
1.1%
4 5
 
0.9%
7 2
 
0.4%
8 1
 
0.2%
Other values (4) 4
 
0.7%
Hangul
ValueCountFrequency (%)
115
 
9.3%
114
 
9.2%
102
 
8.3%
63
 
5.1%
50
 
4.0%
50
 
4.0%
49
 
4.0%
29
 
2.3%
29
 
2.3%
26
 
2.1%
Other values (139) 608
49.2%

Correlations

2023-12-12T17:33:24.064923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
생산품공장대표주소업종명
생산품1.0000.0000.999
공장대표주소0.0001.0000.000
업종명0.9990.0001.000

Missing values

2023-12-12T17:33:19.138863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:33:19.285553image/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

회사명대표자명생산품공장대표주소업종명
0(주)강토산업김희주레미콘강원도 철원군 갈말읍 궁예로 766 ((주)강토산업)레미콘 제조업
1(주)경성특수콘크리트조정분콘크리트수로관강원도 철원군 서면 금강로 7490 (경성특수콘크리트(주))콘크리트 관 및 기타 구조용 콘크리트 제품 제조업
2(주)구룡제약전제남인진쑥,칡즙강원도 철원군 김화읍 외골길 33-39 (구룡제약 사업부)건강보조용 액화식품 제조업
3(주)그래미남종현여명808,다미나909,육향,왕춘주강원도 철원군 갈말읍 갈말로 32-30 ((주)그래미) (총 2 필지)차류 가공업 외 3 종
4(주)동양레미콘산업장형욱레미콘강원도 철원군 갈말읍 숙소골길 23 (동양)레미콘 제조업
5(주)로뎀코리아윤희선도로차단방역기,차량탑재용소독방역기,감자파종기,감자수확기,스태커,하우스무인방제기,세차시설장비 등강원도 철원군 동송읍 금학산로 111, (주)로뎀코리아 (총 2 필지) (총 2 필지)농업 및 임업용 기계 제조업 외 6 종
6(주)미성식품권명선김치 등강원도 철원군 김화읍 외골길 33-17 (미성식품) (총 2 필지) (총 2 필지)김치류 제조업 외 1 종
7(주)삼원파워텍유성열배전반, 자동제어반 등강원도 철원군 김화읍 외골길 17-36 (삼원파워텍)배전반 및 전기 자동제어반 제조업 외 2 종
8(주)삼호보일러이기원보일러및금속탱크강원도 철원군 갈말읍 갈말로 32-52 (총 3 필지)핵반응기 및 증기보일러 제조업 외 7 종
9(주)세원상사이민세인조가발사강원도 철원군 김화읍 외골길 22 ((주)세원)모직물 직조업
회사명대표자명생산품공장대표주소업종명
97철원친환경영농조합법인양춘수고춧가루,분말류,라이스브랜,쌀강원도 철원군 동송읍 태봉로 2643-1 (철원친환경영농조합) (총 4 필지) (총 4 필지)그 외 기타 식료품 제조업 외 1 종
98철원한과전인숙한과강원도 철원군 서면 아리랑로37번길 26 (총 2 필지)그 외 기타 식료품 제조업
99청정철원 주식회사최경도육포강원도 철원군 김화읍 외골길 33-29 (고려환경개발)육류 기타 가공 및 저장처리업 (가금류 제외) 외 5 종
100태봉산업김종태금가,맨홀강원도 철원군 동송읍 오지3길 42 (태봉산업)콘크리트 타일, 기와, 벽돌 및 블록 제조업 외 1 종
101태정산업유태정플라스틱강원도 철원군 동송읍 상노로 189-62 (태정산업) (총 2 필지)플라스틱 선, 봉, 관 및 호스 제조업
102파오스이창순강원도 철원군 서면 금강로 7848, (파오스) (총 5 필지)기타 운동 및 경기용구 제조업
103하나산업임요셉펠렛강원도 철원군 동송읍 상노로 189-53, (하나산업)혼성 및 재생 플라스틱 소재 물질 제조업
104한진정미소임종근강원도 철원군 동송읍 태봉로 1964 (한진정미소)곡물 도정업
105해주먹손선호먹(서예용)강원도 철원군 갈말읍 두루미로 382-1 (주택)인쇄잉크 및 회화용 물감 제조업
106해태에이치티비(주) 철원공장김철하먹는샘물, 탄산수강원도 철원군 근남면 하문수동길 93 (근남면) (총 3 필지)생수 생산업 외 1 종