Overview

Dataset statistics

Number of variables7
Number of observations168
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory58.8 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description충청북도 증평군에 등록된 공장 현황으로서 업종명, 업체명, 주소, 공장위치, 근로자수 등을 포함하여 정보를 제공합니다
URLhttps://www.data.go.kr/data/15034200/fileData.do

Alerts

데이터기준일 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:57:31.940196
Analysis finished2023-12-12 13:57:32.929481
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.5
Minimum1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T22:57:32.995189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.35
Q142.75
median84.5
Q3126.25
95-th percentile159.65
Maximum168
Range167
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation48.641546
Coefficient of variation (CV)0.5756396
Kurtosis-1.2
Mean84.5
Median Absolute Deviation (MAD)42
Skewness0
Sum14196
Variance2366
MonotonicityStrictly increasing
2023-12-12T22:57:33.160300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
117 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
Other values (158) 158
94.0%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%

회사명
Text

Distinct162
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:57:33.453238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.297619
Min length3

Characters and Unicode

Total characters1394
Distinct characters237
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

Unique156 ?
Unique (%)92.9%

Sample

1st row(주)그린위치
2nd row(주)금당
3rd row(주)농협홍삼
4th row(주)대영
5th row(주)덕산식품 증평공장
ValueCountFrequency (%)
주식회사 29
 
13.8%
농업회사법인 8
 
3.8%
주)엠티에스코퍼레이션 2
 
1.0%
아비코테크(주 2
 
1.0%
주)에프앤피 2
 
1.0%
주)한인엠시티 2
 
1.0%
퓨엠 2
 
1.0%
넥스플렉스 2
 
1.0%
주)우진산전 2
 
1.0%
장뜰영농조합법인 1
 
0.5%
Other values (158) 158
75.2%
2023-12-12T22:57:33.928641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 136
 
9.8%
( 106
 
7.6%
) 106
 
7.6%
사 45
 
3.2%
회 42
 
3.0%
42
 
3.0%
식 35
 
2.5%
이 35
 
2.5%
스 34
 
2.4%
인 29
 
2.1%
Other values (227) 784
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1128
80.9%
Open Punctuation 106
 
7.6%
Close Punctuation 106
 
7.6%
Space Separator 42
 
3.0%
Uppercase Letter 11
 
0.8%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 136
 
12.1%
사 45
 
4.0%
회 42
 
3.7%
식 35
 
3.1%
이 35
 
3.1%
스 34
 
3.0%
인 29
 
2.6%
에 28
 
2.5%
업 26
 
2.3%
산 21
 
1.9%
Other values (214) 697
61.8%
Uppercase Letter
ValueCountFrequency (%)
T 2
18.2%
S 2
18.2%
H 1
9.1%
E 1
9.1%
G 1
9.1%
N 1
9.1%
K 1
9.1%
C 1
9.1%
I 1
9.1%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1128
80.9%
Common 255
 
18.3%
Latin 11
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 136
 
12.1%
사 45
 
4.0%
회 42
 
3.7%
식 35
 
3.1%
이 35
 
3.1%
스 34
 
3.0%
인 29
 
2.6%
에 28
 
2.5%
업 26
 
2.3%
산 21
 
1.9%
Other values (214) 697
61.8%
Latin
ValueCountFrequency (%)
T 2
18.2%
S 2
18.2%
H 1
9.1%
E 1
9.1%
G 1
9.1%
N 1
9.1%
K 1
9.1%
C 1
9.1%
I 1
9.1%
Common
ValueCountFrequency (%)
( 106
41.6%
) 106
41.6%
42
 
16.5%
2 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1128
80.9%
ASCII 266
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 136
 
12.1%
사 45
 
4.0%
회 42
 
3.7%
식 35
 
3.1%
이 35
 
3.1%
스 34
 
3.0%
인 29
 
2.6%
에 28
 
2.5%
업 26
 
2.3%
산 21
 
1.9%
Other values (214) 697
61.8%
ASCII
ValueCountFrequency (%)
( 106
39.8%
) 106
39.8%
42
 
15.8%
T 2
 
0.8%
S 2
 
0.8%
H 1
 
0.4%
E 1
 
0.4%
G 1
 
0.4%
N 1
 
0.4%
2 1
 
0.4%
Other values (3) 3
 
1.1%

종업원수
Real number (ℝ)

Distinct54
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.833333
Minimum0
Maximum880
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T22:57:34.085391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q323.25
95-th percentile146.5
Maximum880
Range880
Interquartile range (IQR)18.25

Descriptive statistics

Standard deviation107.86633
Coefficient of variation (CV)2.7079414
Kurtosis33.318503
Mean39.833333
Median Absolute Deviation (MAD)6
Skewness5.4091009
Sum6692
Variance11635.146
MonotonicityNot monotonic
2023-12-12T22:57:34.235503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 20
 
11.9%
10 19
 
11.3%
2 10
 
6.0%
15 9
 
5.4%
6 9
 
5.4%
3 8
 
4.8%
4 8
 
4.8%
13 6
 
3.6%
20 5
 
3.0%
7 5
 
3.0%
Other values (44) 69
41.1%
ValueCountFrequency (%)
0 1
 
0.6%
1 4
 
2.4%
2 10
6.0%
3 8
 
4.8%
4 8
 
4.8%
5 20
11.9%
6 9
5.4%
7 5
 
3.0%
8 4
 
2.4%
9 2
 
1.2%
ValueCountFrequency (%)
880 1
0.6%
700 1
0.6%
568 1
0.6%
392 1
0.6%
325 1
0.6%
255 1
0.6%
230 1
0.6%
220 1
0.6%
150 1
0.6%
140 2
1.2%

공장대표주소(지번)
Text

Distinct160
Distinct (%)95.8%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2023-12-12T22:57:34.441633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length26.107784
Min length20

Characters and Unicode

Total characters4360
Distinct characters165
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

Unique155 ?
Unique (%)92.8%

Sample

1st row충청북도 증평군 도안면 노암리 산 52번지 (주)그린위치 산 52
2nd row충청북도 증평군 증평읍 내성리 204-2
3rd row충청북도 증평군 증평읍 초중리 310-1번지
4th row충청북도 증평군 도안면 노암리 926
5th row충청북도 증평군 도안면 노암리 128
ValueCountFrequency (%)
충청북도 167
16.6%
증평군 167
16.6%
도안면 95
 
9.4%
증평읍 72
 
7.1%
노암리 46
 
4.6%
외 46
 
4.6%
1필지 23
 
2.3%
미암리 19
 
1.9%
광덕리 16
 
1.6%
화성리 16
 
1.6%
Other values (226) 341
33.8%
2023-12-12T22:57:34.807086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
841
19.3%
도 280
 
6.4%
증 246
 
5.6%
평 241
 
5.5%
리 174
 
4.0%
청 169
 
3.9%
충 169
 
3.9%
북 168
 
3.9%
군 167
 
3.8%
1 129
 
3.0%
Other values (155) 1776
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2745
63.0%
Space Separator 841
 
19.3%
Decimal Number 654
 
15.0%
Dash Punctuation 80
 
1.8%
Close Punctuation 19
 
0.4%
Open Punctuation 19
 
0.4%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 280
 
10.2%
증 246
 
9.0%
평 241
 
8.8%
리 174
 
6.3%
청 169
 
6.2%
충 169
 
6.2%
북 168
 
6.1%
군 167
 
6.1%
지 126
 
4.6%
안 101
 
3.7%
Other values (139) 904
32.9%
Decimal Number
ValueCountFrequency (%)
1 129
19.7%
2 92
14.1%
3 72
11.0%
9 71
10.9%
0 57
8.7%
5 53
8.1%
4 52
8.0%
8 49
 
7.5%
6 40
 
6.1%
7 39
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
841
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2745
63.0%
Common 1613
37.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 280
 
10.2%
증 246
 
9.0%
평 241
 
8.8%
리 174
 
6.3%
청 169
 
6.2%
충 169
 
6.2%
북 168
 
6.1%
군 167
 
6.1%
지 126
 
4.6%
안 101
 
3.7%
Other values (139) 904
32.9%
Common
ValueCountFrequency (%)
841
52.1%
1 129
 
8.0%
2 92
 
5.7%
- 80
 
5.0%
3 72
 
4.5%
9 71
 
4.4%
0 57
 
3.5%
5 53
 
3.3%
4 52
 
3.2%
8 49
 
3.0%
Other values (4) 117
 
7.3%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2745
63.0%
ASCII 1615
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
841
52.1%
1 129
 
8.0%
2 92
 
5.7%
- 80
 
5.0%
3 72
 
4.5%
9 71
 
4.4%
0 57
 
3.5%
5 53
 
3.3%
4 52
 
3.2%
8 49
 
3.0%
Other values (6) 119
 
7.4%
Hangul
ValueCountFrequency (%)
도 280
 
10.2%
증 246
 
9.0%
평 241
 
8.8%
리 174
 
6.3%
청 169
 
6.2%
충 169
 
6.2%
북 168
 
6.1%
군 167
 
6.1%
지 126
 
4.6%
안 101
 
3.7%
Other values (139) 904
32.9%

업종명
Text

Distinct122
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:57:35.182428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length18.428571
Min length6

Characters and Unicode

Total characters3096
Distinct characters216
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

Unique93 ?
Unique (%)55.4%

Sample

1st row천연 및 혼합조제 조미료 제조업
2nd row플라스틱 창호 제조업
3rd row인삼식품 제조업
4th row육상 금속 골조 구조재 제조업
5th row떡류 제조업 외 1 종
ValueCountFrequency (%)
제조업 149
 
14.7%
외 99
 
9.8%
종 81
 
8.0%
및 76
 
7.5%
기타 54
 
5.3%
1 52
 
5.1%
그 18
 
1.8%
플라스틱 16
 
1.6%
금속 13
 
1.3%
가공 12
 
1.2%
Other values (217) 441
43.6%
2023-12-12T22:57:35.732108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
843
27.2%
제 203
 
6.6%
조 192
 
6.2%
업 177
 
5.7%
외 105
 
3.4%
기 93
 
3.0%
종 84
 
2.7%
및 76
 
2.5%
품 57
 
1.8%
타 56
 
1.8%
Other values (206) 1210
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2141
69.2%
Space Separator 843
 
27.2%
Decimal Number 81
 
2.6%
Other Punctuation 23
 
0.7%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 203
 
9.5%
조 192
 
9.0%
업 177
 
8.3%
외 105
 
4.9%
기 93
 
4.3%
종 84
 
3.9%
및 76
 
3.5%
품 57
 
2.7%
타 56
 
2.6%
용 47
 
2.2%
Other values (195) 1051
49.1%
Decimal Number
ValueCountFrequency (%)
1 52
64.2%
2 11
 
13.6%
3 8
 
9.9%
4 6
 
7.4%
5 2
 
2.5%
6 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 21
91.3%
. 2
 
8.7%
Space Separator
ValueCountFrequency (%)
843
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2141
69.2%
Common 955
30.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 203
 
9.5%
조 192
 
9.0%
업 177
 
8.3%
외 105
 
4.9%
기 93
 
4.3%
종 84
 
3.9%
및 76
 
3.5%
품 57
 
2.7%
타 56
 
2.6%
용 47
 
2.2%
Other values (195) 1051
49.1%
Common
ValueCountFrequency (%)
843
88.3%
1 52
 
5.4%
, 21
 
2.2%
2 11
 
1.2%
3 8
 
0.8%
4 6
 
0.6%
( 4
 
0.4%
) 4
 
0.4%
5 2
 
0.2%
6 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2138
69.1%
ASCII 955
30.8%
Compat Jamo 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
843
88.3%
1 52
 
5.4%
, 21
 
2.2%
2 11
 
1.2%
3 8
 
0.8%
4 6
 
0.6%
( 4
 
0.4%
) 4
 
0.4%
5 2
 
0.2%
6 2
 
0.2%
Hangul
ValueCountFrequency (%)
제 203
 
9.5%
조 192
 
9.0%
업 177
 
8.3%
외 105
 
4.9%
기 93
 
4.3%
종 84
 
3.9%
및 76
 
3.6%
품 57
 
2.7%
타 56
 
2.6%
용 47
 
2.2%
Other values (194) 1048
49.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

전화번호
Text

Distinct132
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T22:57:36.026614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.982143
Min length6

Characters and Unicode

Total characters1845
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)72.6%

Sample

1st row043-836-7960
2nd row043-836-0392
3rd row043-835-8400
4th row031-312-9501
5th row043-838-0083
ValueCountFrequency (%)
개인휴대번호 28
 
16.7%
043-901-7104 2
 
1.2%
043-820-4111 2
 
1.2%
043-820-1122 2
 
1.2%
031-312-9501 2
 
1.2%
043-838-9562 2
 
1.2%
043-715-7773 2
 
1.2%
043-838-5678 2
 
1.2%
043-820-1833 2
 
1.2%
043-836-1751 2
 
1.2%
Other values (122) 122
72.6%
2023-12-12T22:57:36.511943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 289
15.7%
- 280
15.2%
0 253
13.7%
8 236
12.8%
4 174
9.4%
1 104
 
5.6%
2 83
 
4.5%
6 81
 
4.4%
7 75
 
4.1%
5 62
 
3.4%
Other values (7) 208
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1397
75.7%
Dash Punctuation 280
 
15.2%
Other Letter 168
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 289
20.7%
0 253
18.1%
8 236
16.9%
4 174
12.5%
1 104
 
7.4%
2 83
 
5.9%
6 81
 
5.8%
7 75
 
5.4%
5 62
 
4.4%
9 40
 
2.9%
Other Letter
ValueCountFrequency (%)
인 28
16.7%
호 28
16.7%
번 28
16.7%
대 28
16.7%
휴 28
16.7%
개 28
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 280
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1677
90.9%
Hangul 168
 
9.1%

Most frequent character per script

Common
ValueCountFrequency (%)
3 289
17.2%
- 280
16.7%
0 253
15.1%
8 236
14.1%
4 174
10.4%
1 104
 
6.2%
2 83
 
4.9%
6 81
 
4.8%
7 75
 
4.5%
5 62
 
3.7%
Hangul
ValueCountFrequency (%)
인 28
16.7%
호 28
16.7%
번 28
16.7%
대 28
16.7%
휴 28
16.7%
개 28
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1677
90.9%
Hangul 168
 
9.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 289
17.2%
- 280
16.7%
0 253
15.1%
8 236
14.1%
4 174
10.4%
1 104
 
6.2%
2 83
 
4.9%
6 81
 
4.8%
7 75
 
4.5%
5 62
 
3.7%
Hangul
ValueCountFrequency (%)
인 28
16.7%
호 28
16.7%
번 28
16.7%
대 28
16.7%
휴 28
16.7%
개 28
16.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-06-23
168 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-23
2nd row2023-06-23
3rd row2023-06-23
4th row2023-06-23
5th row2023-06-23

Common Values

ValueCountFrequency (%)
2023-06-23 168
100.0%

Length

2023-12-12T22:57:36.666982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:57:36.756296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-23 168
100.0%

Interactions

2023-12-12T22:57:32.549793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:57:32.352858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:57:32.640424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:57:32.472191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:57:36.815883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.0000.000
종업원수0.0001.000
2023-12-12T22:57:36.901278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.000-0.099
종업원수-0.0991.000

Missing values

2023-12-12T22:57:32.758465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:57:32.885491image/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

순번회사명종업원수공장대표주소(지번)업종명전화번호데이터기준일
01(주)그린위치30충청북도 증평군 도안면 노암리 산 52번지 (주)그린위치 산 52천연 및 혼합조제 조미료 제조업043-836-79602023-06-23
12(주)금당5충청북도 증평군 증평읍 내성리 204-2플라스틱 창호 제조업043-836-03922023-06-23
23(주)농협홍삼47충청북도 증평군 증평읍 초중리 310-1번지인삼식품 제조업043-835-84002023-06-23
34(주)대영10충청북도 증평군 도안면 노암리 926육상 금속 골조 구조재 제조업031-312-95012023-06-23
45(주)덕산식품 증평공장30충청북도 증평군 도안면 노암리 128떡류 제조업 외 1 종043-838-00832023-06-23
56(주)덕유13충청북도 증평군 도안면 도당리 932 덕유(주) 외 1필지포장용 플라스틱 성형용기 제조업043-836-88622023-06-23
67(주)두산392충청북도 증평군 증평읍 용강리 661번지 외 2필지인쇄회로기판용 적층판 제조업 외 2 종043-820-82212023-06-23
78(주)두원전기소방8충청북도 증평군 증평읍 미암리 497-3전동기 및 발전기 제조업 외 4 종043-838-10092023-06-23
89(주)디엔피코퍼레이션130충청북도 증평군 증평읍 내성리 697번지인쇄회로기판용 적층판 제조업 외 2 종043-836-61282023-06-23
910(주)디케이15충청북도 증평군 도안면 노암리 927-0운송장비 조립용 플라스틱제품 제조업 외 1 종043-836-15882023-06-23
순번회사명종업원수공장대표주소(지번)업종명전화번호데이터기준일
158159플래티넘크래프트 주식회사15충청북도 증평군 증평읍 미암리 88번지맥아 및 맥주 제조업 외 1 종043-838-60762023-06-23
159160피엔티코리아13충청북도 증평군 도안면 화성리 541-2번지 외 2필지포장용 플라스틱 성형용기 제조업043-838-50912023-06-23
160161피엠화학11충청북도 증평군 증평읍 연탄리 895번지 외 2필지혼성 및 재생 플라스틱 소재 물질 제조업043-836-34462023-06-23
161162한국철강(주)증평공장1충청북도 증평군 증평읍 미암리 1044번지발광 다이오드 제조업 외 1 종043-838-91412023-06-23
162163해나루식품(주)9충청북도 증평군 도안면 석곡리 318천연 및 혼합조제 조미료 제조업개인휴대번호2023-06-23
163164해수엔지니어링5충청북도 증평군 도안면 광덕리 389 번지 일원 도안2테크노밸리액체 여과기 제조업개인휴대번호2023-06-23
164165현대종합특수강(주)123충청북도 증평군 도안면 노암리 902철강선 제조업043-830-90222023-06-23
165166형제석물4충청북도 증평군 도안면 화성리 29-2번지 외 4필지건설용 석제품 제조업 외 1 종개인휴대번호2023-06-23
166167화성산업25충청북도 증평군 도안면 화성리 산 37-2목재 깔판류 및 기타 적재판 제조업 외 1 종개인휴대번호2023-06-23
167168흥진두부공장1충청북도 증평군 증평읍 증천리 1046번지두부 및 유사식품 제조업043-836-36762023-06-23