Overview

Dataset statistics

Number of variables11
Number of observations1031
Missing cells2057
Missing cells (%)18.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory90.7 KiB
Average record size in memory90.1 B

Variable types

Numeric2
Text7
Categorical2

Dataset

Description한국화학연구원에서 보유하고 있는 화학소재관련 기업 정보로 기업명, 업종, 기업유형, 대표전화, 주소, 주생산품, 홈페이지 정보로 구성됨 ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-3052525?url=https%3A//www.krict.re.kr/cmm/fms/FileDown.do%3FatchFileId%3DFILE_000000004447Oi2%26fileSn%3D5&version=d7)](https://www.data.go.kr/data/3052525/fileData.do)
Author한국화학연구원
URLhttps://www.data.go.kr/data/3052525/fileData.do

Alerts

기업유형 is highly imbalanced (50.1%)Imbalance
업태 has 440 (42.7%) missing valuesMissing
담당자 전화번호 has 300 (29.1%) missing valuesMissing
우편번호 has 1001 (97.1%) missing valuesMissing
주요 생산제품 (소재) has 74 (7.2%) missing valuesMissing
홈페이지 has 241 (23.4%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:58:47.675082
Analysis finished2023-12-12 05:58:49.772291
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1031
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516
Minimum1
Maximum1031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2023-12-12T14:58:49.851749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile52.5
Q1258.5
median516
Q3773.5
95-th percentile979.5
Maximum1031
Range1030
Interquartile range (IQR)515

Descriptive statistics

Standard deviation297.76837
Coefficient of variation (CV)0.57707048
Kurtosis-1.2
Mean516
Median Absolute Deviation (MAD)258
Skewness0
Sum531996
Variance88666
MonotonicityStrictly increasing
2023-12-12T14:58:49.995075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
710 1
 
0.1%
680 1
 
0.1%
681 1
 
0.1%
682 1
 
0.1%
683 1
 
0.1%
684 1
 
0.1%
685 1
 
0.1%
686 1
 
0.1%
687 1
 
0.1%
Other values (1021) 1021
99.0%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1031 1
0.1%
1030 1
0.1%
1029 1
0.1%
1028 1
0.1%
1027 1
0.1%
1026 1
0.1%
1025 1
0.1%
1024 1
0.1%
1023 1
0.1%
1022 1
0.1%

기업명
Text

Distinct1026
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T14:58:50.270242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length7.0213385
Min length2

Characters and Unicode

Total characters7239
Distinct characters454
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1021 ?
Unique (%)99.0%

Sample

1st row세원
2nd row(주)평일 기술연구소
3rd row씰테크
4th row폴리시스 퓨어 프러덕트
5th row삼성전자(주) 생활가전(사) GCS팀
ValueCountFrequency (%)
주식회사 56
 
4.7%
기술연구소 12
 
1.0%
부설연구소 4
 
0.3%
주 4
 
0.3%
기업부설연구소 4
 
0.3%
유한회사 4
 
0.3%
코리아 4
 
0.3%
skc 3
 
0.3%
한국 3
 
0.3%
중앙연구소 3
 
0.3%
Other values (1090) 1100
91.9%
2023-12-12T14:58:50.737615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 388
 
5.4%
㈜ 388
 
5.4%
) 330
 
4.6%
( 329
 
4.5%
이 259
 
3.6%
스 204
 
2.8%
179
 
2.5%
에 122
 
1.7%
리 103
 
1.4%
사 103
 
1.4%
Other values (444) 4834
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5704
78.8%
Other Symbol 388
 
5.4%
Close Punctuation 330
 
4.6%
Open Punctuation 329
 
4.5%
Uppercase Letter 236
 
3.3%
Space Separator 179
 
2.5%
Lowercase Letter 51
 
0.7%
Other Punctuation 15
 
0.2%
Decimal Number 4
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 388
 
6.8%
이 259
 
4.5%
스 204
 
3.6%
에 122
 
2.1%
리 103
 
1.8%
사 103
 
1.8%
화 102
 
1.8%
코 97
 
1.7%
아 97
 
1.7%
텍 93
 
1.6%
Other values (392) 4136
72.5%
Uppercase Letter
ValueCountFrequency (%)
S 28
11.9%
C 24
10.2%
G 24
10.2%
I 18
 
7.6%
K 18
 
7.6%
E 16
 
6.8%
T 15
 
6.4%
L 13
 
5.5%
M 13
 
5.5%
N 11
 
4.7%
Other values (12) 56
23.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
13.7%
a 6
11.8%
n 5
9.8%
t 4
 
7.8%
r 4
 
7.8%
o 4
 
7.8%
l 3
 
5.9%
s 3
 
5.9%
b 2
 
3.9%
d 2
 
3.9%
Other values (8) 11
21.6%
Decimal Number
ValueCountFrequency (%)
4 1
25.0%
1 1
25.0%
7 1
25.0%
3 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 7
46.7%
& 7
46.7%
/ 1
 
6.7%
Other Symbol
ValueCountFrequency (%)
㈜ 388
100.0%
Close Punctuation
ValueCountFrequency (%)
) 330
100.0%
Open Punctuation
ValueCountFrequency (%)
( 329
100.0%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6092
84.2%
Common 860
 
11.9%
Latin 287
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 388
 
6.4%
㈜ 388
 
6.4%
이 259
 
4.3%
스 204
 
3.3%
에 122
 
2.0%
리 103
 
1.7%
사 103
 
1.7%
화 102
 
1.7%
코 97
 
1.6%
아 97
 
1.6%
Other values (393) 4229
69.4%
Latin
ValueCountFrequency (%)
S 28
 
9.8%
C 24
 
8.4%
G 24
 
8.4%
I 18
 
6.3%
K 18
 
6.3%
E 16
 
5.6%
T 15
 
5.2%
L 13
 
4.5%
M 13
 
4.5%
N 11
 
3.8%
Other values (30) 107
37.3%
Common
ValueCountFrequency (%)
) 330
38.4%
( 329
38.3%
179
20.8%
. 7
 
0.8%
& 7
 
0.8%
- 3
 
0.3%
4 1
 
0.1%
1 1
 
0.1%
7 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5704
78.8%
ASCII 1147
 
15.8%
None 388
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 388
 
6.8%
이 259
 
4.5%
스 204
 
3.6%
에 122
 
2.1%
리 103
 
1.8%
사 103
 
1.8%
화 102
 
1.8%
코 97
 
1.7%
아 97
 
1.7%
텍 93
 
1.6%
Other values (392) 4136
72.5%
None
ValueCountFrequency (%)
㈜ 388
100.0%
ASCII
ValueCountFrequency (%)
) 330
28.8%
( 329
28.7%
179
15.6%
S 28
 
2.4%
C 24
 
2.1%
G 24
 
2.1%
I 18
 
1.6%
K 18
 
1.6%
E 16
 
1.4%
T 15
 
1.3%
Other values (41) 166
14.5%

업종
Categorical

Distinct20
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
소재
490 
완제품
193 
부품
165 
정보/연구기관
53 
기타
 
45
Other values (15)
85 

Length

Max length9
Median length2
Mean length2.7313288
Min length2

Unique

Unique6 ?
Unique (%)0.6%

Sample

1st row소재
2nd row부품
3rd row소재
4th row소재
5th row완제품

Common Values

ValueCountFrequency (%)
소재 490
47.5%
완제품 193
 
18.7%
부품 165
 
16.0%
정보/연구기관 53
 
5.1%
기타 45
 
4.4%
소재-부품 23
 
2.2%
부품-완제품 15
 
1.5%
부품업체 11
 
1.1%
소재-완제품 10
 
1.0%
소재업체 7
 
0.7%
Other values (10) 19
 
1.8%

Length

2023-12-12T14:58:50.907881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소재 490
47.5%
완제품 194
 
18.8%
부품 166
 
16.1%
정보/연구기관 53
 
5.1%
기타 45
 
4.4%
소재-부품 23
 
2.2%
부품-완제품 15
 
1.5%
부품업체 11
 
1.1%
소재-완제품 10
 
1.0%
소재업체 7
 
0.7%
Other values (9) 18
 
1.7%

업태
Text

MISSING 

Distinct120
Distinct (%)20.3%
Missing440
Missing (%)42.7%
Memory size8.2 KiB
2023-12-12T14:58:51.440270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length3.8020305
Min length2

Characters and Unicode

Total characters2247
Distinct characters69
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

Unique81 ?
Unique (%)13.7%

Sample

1st row현재를
2nd row제조업, 도매업, 서비스
3rd row서비스
4th row제조업
5th row제조
ValueCountFrequency (%)
제조 282
40.3%
제조업 107
 
15.3%
서비스 55
 
7.9%
도매 52
 
7.4%
도소매 42
 
6.0%
제조,도매 19
 
2.7%
외 12
 
1.7%
제조,도소매 11
 
1.6%
및 8
 
1.1%
제조,서비스 6
 
0.9%
Other values (75) 105
 
15.0%
2023-12-12T14:58:51.868614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 478
21.3%
조 473
21.1%
매 175
 
7.8%
도 171
 
7.6%
업 149
 
6.6%
, 145
 
6.5%
112
 
5.0%
비 89
 
4.0%
서 88
 
3.9%
스 88
 
3.9%
Other values (59) 279
12.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1977
88.0%
Other Punctuation 156
 
6.9%
Space Separator 112
 
5.0%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 478
24.2%
조 473
23.9%
매 175
 
8.9%
도 171
 
8.6%
업 149
 
7.5%
비 89
 
4.5%
서 88
 
4.5%
스 88
 
4.5%
소 83
 
4.2%
외 17
 
0.9%
Other values (54) 166
 
8.4%
Other Punctuation
ValueCountFrequency (%)
, 145
92.9%
/ 11
 
7.1%
Space Separator
ValueCountFrequency (%)
112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1977
88.0%
Common 270
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 478
24.2%
조 473
23.9%
매 175
 
8.9%
도 171
 
8.6%
업 149
 
7.5%
비 89
 
4.5%
서 88
 
4.5%
스 88
 
4.5%
소 83
 
4.2%
외 17
 
0.9%
Other values (54) 166
 
8.4%
Common
ValueCountFrequency (%)
, 145
53.7%
112
41.5%
/ 11
 
4.1%
) 1
 
0.4%
( 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1977
88.0%
ASCII 270
 
12.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 478
24.2%
조 473
23.9%
매 175
 
8.9%
도 171
 
8.6%
업 149
 
7.5%
비 89
 
4.5%
서 88
 
4.5%
스 88
 
4.5%
소 83
 
4.2%
외 17
 
0.9%
Other values (54) 166
 
8.4%
ASCII
ValueCountFrequency (%)
, 145
53.7%
112
41.5%
/ 11
 
4.1%
) 1
 
0.4%
( 1
 
0.4%

기업유형
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
중소기업
681 
벤처기업
174 
대기업
124 
벤처/중소
 
25
기타
 
19
Other values (3)
 
8

Length

Max length7
Median length4
Mean length3.8787585
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row중소기업
2nd row중소기업
3rd row벤처기업
4th row벤처기업
5th row대기업

Common Values

ValueCountFrequency (%)
중소기업 681
66.1%
벤처기업 174
 
16.9%
대기업 124
 
12.0%
벤처/중소 25
 
2.4%
기타 19
 
1.8%
중견기업 4
 
0.4%
중소/벤처기업 3
 
0.3%
벤처/중소기업 1
 
0.1%

Length

2023-12-12T14:58:52.000865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:58:52.152673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소기업 681
66.1%
벤처기업 174
 
16.9%
대기업 124
 
12.0%
벤처/중소 25
 
2.4%
기타 19
 
1.8%
중견기업 4
 
0.4%
중소/벤처기업 3
 
0.3%
벤처/중소기업 1
 
0.1%

가입일자
Text

Distinct570
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-12T14:58:52.492578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters10310
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

Unique354 ?
Unique (%)34.3%

Sample

1st row2008-06-25
2nd row2008-06-25
3rd row2008-06-25
4th row2008-06-26
5th row2008-06-27
ValueCountFrequency (%)
2013-06-26 18
 
1.7%
2014-06-23 16
 
1.6%
2014-06-19 14
 
1.4%
2022-05-25 10
 
1.0%
2008-07-28 10
 
1.0%
2015-06-03 10
 
1.0%
2015-06-15 8
 
0.8%
2010-04-08 7
 
0.7%
2015-01-15 7
 
0.7%
2013-06-24 7
 
0.7%
Other values (560) 924
89.6%
2023-12-12T14:58:53.111917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2674
25.9%
- 2062
20.0%
2 1681
16.3%
1 1648
16.0%
6 387
 
3.8%
3 365
 
3.5%
7 328
 
3.2%
5 327
 
3.2%
8 287
 
2.8%
4 281
 
2.7%
Other values (2) 270
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8244
80.0%
Dash Punctuation 2062
 
20.0%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2674
32.4%
2 1681
20.4%
1 1648
20.0%
6 387
 
4.7%
3 365
 
4.4%
7 328
 
4.0%
5 327
 
4.0%
8 287
 
3.5%
4 281
 
3.4%
9 266
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 2062
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2674
25.9%
- 2062
20.0%
2 1681
16.3%
1 1648
16.0%
6 387
 
3.8%
3 365
 
3.5%
7 328
 
3.2%
5 327
 
3.2%
8 287
 
2.8%
4 281
 
2.7%
Other values (2) 270
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2674
25.9%
- 2062
20.0%
2 1681
16.3%
1 1648
16.0%
6 387
 
3.8%
3 365
 
3.5%
7 328
 
3.2%
5 327
 
3.2%
8 287
 
2.8%
4 281
 
2.7%
Other values (2) 270
 
2.6%

담당자 전화번호
Text

MISSING 

Distinct722
Distinct (%)98.8%
Missing300
Missing (%)29.1%
Memory size8.2 KiB
2023-12-12T14:58:53.419375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length12.098495
Min length9

Characters and Unicode

Total characters8844
Distinct characters24
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

Unique713 ?
Unique (%)97.5%

Sample

1st row031-338-0886
2nd row031-420-6692
3rd row031-456-3553
4th row02-963-2584
5th row031-200-6347
ValueCountFrequency (%)
051-361-5456 2
 
0.3%
070-8668-7860 2
 
0.3%
031-668-9525~6 2
 
0.3%
031-916-0070 2
 
0.3%
02-395-6287 2
 
0.3%
2
 
0.3%
031-493-0955 2
 
0.3%
055-327-9611 2
 
0.3%
042-936-2271 2
 
0.3%
041-553-8001 2
 
0.3%
Other values (715) 715
97.3%
2023-12-12T14:58:53.965768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1460
16.5%
0 1367
15.5%
3 950
10.7%
1 861
9.7%
2 768
8.7%
5 699
7.9%
4 664
7.5%
7 547
 
6.2%
6 531
 
6.0%
8 527
 
6.0%
Other values (14) 470
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7339
83.0%
Dash Punctuation 1460
 
16.5%
Other Letter 12
 
0.1%
Math Symbol 9
 
0.1%
Close Punctuation 7
 
0.1%
Space Separator 7
 
0.1%
Open Punctuation 7
 
0.1%
Lowercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1367
18.6%
3 950
12.9%
1 861
11.7%
2 768
10.5%
5 699
9.5%
4 664
9.0%
7 547
7.5%
6 531
 
7.2%
8 527
 
7.2%
9 425
 
5.8%
Other Letter
ValueCountFrequency (%)
내 4
33.3%
선 4
33.3%
대 1
 
8.3%
표 1
 
8.3%
번 1
 
8.3%
호 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
x 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1460
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8830
99.8%
Hangul 12
 
0.1%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1460
16.5%
0 1367
15.5%
3 950
10.8%
1 861
9.8%
2 768
8.7%
5 699
7.9%
4 664
7.5%
7 547
 
6.2%
6 531
 
6.0%
8 527
 
6.0%
Other values (6) 456
 
5.2%
Hangul
ValueCountFrequency (%)
내 4
33.3%
선 4
33.3%
대 1
 
8.3%
표 1
 
8.3%
번 1
 
8.3%
호 1
 
8.3%
Latin
ValueCountFrequency (%)
e 1
50.0%
x 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8832
99.9%
Hangul 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1460
16.5%
0 1367
15.5%
3 950
10.8%
1 861
9.7%
2 768
8.7%
5 699
7.9%
4 664
7.5%
7 547
 
6.2%
6 531
 
6.0%
8 527
 
6.0%
Other values (8) 458
 
5.2%
Hangul
ValueCountFrequency (%)
내 4
33.3%
선 4
33.3%
대 1
 
8.3%
표 1
 
8.3%
번 1
 
8.3%
호 1
 
8.3%

우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)100.0%
Missing1001
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean25709.1
Minimum6978
Maximum55069
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2023-12-12T14:58:54.132454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6978
5-th percentile10397.45
Q116488.25
median18454
Q332649.75
95-th percentile52594.85
Maximum55069
Range48091
Interquartile range (IQR)16161.5

Descriptive statistics

Standard deviation14571.459
Coefficient of variation (CV)0.56678217
Kurtosis-0.58876327
Mean25709.1
Median Absolute Deviation (MAD)4929.5
Skewness0.91723415
Sum771273
Variance2.1232743 × 108
MonotonicityNot monotonic
2023-12-12T14:58:54.265218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
50875 1
 
0.1%
46721 1
 
0.1%
46988 1
 
0.1%
44992 1
 
0.1%
15607 1
 
0.1%
21678 1
 
0.1%
34141 1
 
0.1%
54002 1
 
0.1%
10431 1
 
0.1%
17509 1
 
0.1%
Other values (20) 20
 
1.9%
(Missing) 1001
97.1%
ValueCountFrequency (%)
6978 1
0.1%
10370 1
0.1%
10431 1
0.1%
13494 1
0.1%
13555 1
0.1%
15607 1
0.1%
15619 1
0.1%
16426 1
0.1%
16675 1
0.1%
16940 1
0.1%
ValueCountFrequency (%)
55069 1
0.1%
54002 1
0.1%
50875 1
0.1%
48059 1
0.1%
46988 1
0.1%
46721 1
0.1%
44992 1
0.1%
34141 1
0.1%
28176 1
0.1%
28122 1
0.1%

주소
Text

Distinct1018
Distinct (%)98.8%
Missing1
Missing (%)0.1%
Memory size8.2 KiB
2023-12-12T14:58:54.550186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length47
Mean length23.98932
Min length13

Characters and Unicode

Total characters24709
Distinct characters469
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1006 ?
Unique (%)97.7%

Sample

1st row경기 용인시 처인구 고림동 498-3
2nd row경기도 안양시 관양2동 1475-10
3rd row경기도 군포시 당정동 522번지 SK벤티움 103동 504호
4th row서울 성북구 상월곡동 24-194 웅진빌딩 4층
5th row경기도 수원시 영통구 매탄3동 416 2단지 생활가전사업부QE팀
ValueCountFrequency (%)
경기도 309
 
5.6%
유성구 80
 
1.4%
충남 77
 
1.4%
서울시 71
 
1.3%
화성시 59
 
1.1%
충북 54
 
1.0%
대전 45
 
0.8%
천안시 45
 
0.8%
안산시 44
 
0.8%
서울 44
 
0.8%
Other values (2620) 4705
85.0%
2023-12-12T14:58:55.058173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4522
 
18.3%
1 1013
 
4.1%
시 891
 
3.6%
구 705
 
2.9%
2 675
 
2.7%
동 674
 
2.7%
- 582
 
2.4%
3 576
 
2.3%
0 519
 
2.1%
5 446
 
1.8%
Other values (459) 14106
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14111
57.1%
Decimal Number 4955
 
20.1%
Space Separator 4522
 
18.3%
Dash Punctuation 582
 
2.4%
Uppercase Letter 200
 
0.8%
Other Punctuation 113
 
0.5%
Open Punctuation 79
 
0.3%
Close Punctuation 79
 
0.3%
Lowercase Letter 59
 
0.2%
Other Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 891
 
6.3%
구 705
 
5.0%
동 674
 
4.8%
경 446
 
3.2%
산 421
 
3.0%
도 396
 
2.8%
기 389
 
2.8%
로 352
 
2.5%
대 350
 
2.5%
성 316
 
2.2%
Other values (399) 9171
65.0%
Uppercase Letter
ValueCountFrequency (%)
B 34
17.0%
L 22
11.0%
C 18
9.0%
T 17
8.5%
D 13
 
6.5%
I 13
 
6.5%
S 13
 
6.5%
A 11
 
5.5%
K 11
 
5.5%
P 6
 
3.0%
Other values (12) 42
21.0%
Lowercase Letter
ValueCountFrequency (%)
t 8
13.6%
o 7
11.9%
l 6
10.2%
a 6
10.2%
i 6
10.2%
e 5
8.5%
c 3
 
5.1%
n 3
 
5.1%
f 2
 
3.4%
y 2
 
3.4%
Other values (7) 11
18.6%
Decimal Number
ValueCountFrequency (%)
1 1013
20.4%
2 675
13.6%
3 576
11.6%
0 519
10.5%
5 446
9.0%
4 437
8.8%
6 383
 
7.7%
7 336
 
6.8%
8 301
 
6.1%
9 269
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 90
79.6%
/ 12
 
10.6%
& 6
 
5.3%
. 4
 
3.5%
: 1
 
0.9%
Space Separator
ValueCountFrequency (%)
4522
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 582
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14118
57.1%
Common 10330
41.8%
Latin 260
 
1.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 891
 
6.3%
구 705
 
5.0%
동 674
 
4.8%
경 446
 
3.2%
산 421
 
3.0%
도 396
 
2.8%
기 389
 
2.8%
로 352
 
2.5%
대 350
 
2.5%
성 316
 
2.2%
Other values (399) 9178
65.0%
Latin
ValueCountFrequency (%)
B 34
 
13.1%
L 22
 
8.5%
C 18
 
6.9%
T 17
 
6.5%
D 13
 
5.0%
I 13
 
5.0%
S 13
 
5.0%
A 11
 
4.2%
K 11
 
4.2%
t 8
 
3.1%
Other values (30) 100
38.5%
Common
ValueCountFrequency (%)
4522
43.8%
1 1013
 
9.8%
2 675
 
6.5%
- 582
 
5.6%
3 576
 
5.6%
0 519
 
5.0%
5 446
 
4.3%
4 437
 
4.2%
6 383
 
3.7%
7 336
 
3.3%
Other values (9) 841
 
8.1%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14110
57.1%
ASCII 10589
42.9%
None 8
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4522
42.7%
1 1013
 
9.6%
2 675
 
6.4%
- 582
 
5.5%
3 576
 
5.4%
0 519
 
4.9%
5 446
 
4.2%
4 437
 
4.1%
6 383
 
3.6%
7 336
 
3.2%
Other values (48) 1100
 
10.4%
Hangul
ValueCountFrequency (%)
시 891
 
6.3%
구 705
 
5.0%
동 674
 
4.8%
경 446
 
3.2%
산 421
 
3.0%
도 396
 
2.8%
기 389
 
2.8%
로 352
 
2.5%
대 350
 
2.5%
성 316
 
2.2%
Other values (398) 9170
65.0%
None
ValueCountFrequency (%)
㈜ 8
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
CJK
ValueCountFrequency (%)
內 1
100.0%

주요 생산제품 (소재)
Text

MISSING 

Distinct948
Distinct (%)99.1%
Missing74
Missing (%)7.2%
Memory size8.2 KiB
2023-12-12T14:58:55.459293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length382
Median length209
Mean length22.261233
Min length2

Characters and Unicode

Total characters21304
Distinct characters629
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique939 ?
Unique (%)98.1%

Sample

1st row25.8kV 접속재류
2nd row씰리콘 점착제
3rd row유기반도체물질
4th row생활가전제품
5th row동박
ValueCountFrequency (%)
및 100
 
2.4%
등 55
 
1.3%
소재 40
 
1.0%
플라스틱 37
 
0.9%
필름 35
 
0.9%
부품 27
 
0.7%
25
 
0.6%
접착제 24
 
0.6%
수지 22
 
0.5%
자동차 22
 
0.5%
Other values (2592) 3709
90.6%
2023-12-12T14:58:56.090205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3163
 
14.8%
, 855
 
4.0%
e 462
 
2.2%
P 364
 
1.7%
i 328
 
1.5%
용 304
 
1.4%
제 299
 
1.4%
a 291
 
1.4%
t 283
 
1.3%
o 276
 
1.3%
Other values (619) 14679
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10719
50.3%
Lowercase Letter 3583
 
16.8%
Space Separator 3163
 
14.8%
Uppercase Letter 2099
 
9.9%
Other Punctuation 1134
 
5.3%
Decimal Number 220
 
1.0%
Dash Punctuation 133
 
0.6%
Close Punctuation 117
 
0.5%
Open Punctuation 116
 
0.5%
Math Symbol 12
 
0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 304
 
2.8%
제 299
 
2.8%
기 235
 
2.2%
스 199
 
1.9%
재 192
 
1.8%
소 168
 
1.6%
품 168
 
1.6%
이 164
 
1.5%
전 161
 
1.5%
자 159
 
1.5%
Other values (534) 8670
80.9%
Uppercase Letter
ValueCountFrequency (%)
P 364
17.3%
E 180
 
8.6%
C 169
 
8.1%
S 135
 
6.4%
T 127
 
6.1%
L 118
 
5.6%
D 117
 
5.6%
M 105
 
5.0%
A 104
 
5.0%
R 93
 
4.4%
Other values (16) 587
28.0%
Lowercase Letter
ValueCountFrequency (%)
e 462
12.9%
i 328
 
9.2%
a 291
 
8.1%
t 283
 
7.9%
o 276
 
7.7%
r 267
 
7.5%
n 245
 
6.8%
l 244
 
6.8%
s 185
 
5.2%
c 155
 
4.3%
Other values (15) 847
23.6%
Other Punctuation
ValueCountFrequency (%)
, 855
75.4%
. 104
 
9.2%
/ 76
 
6.7%
: 36
 
3.2%
& 20
 
1.8%
* 20
 
1.8%
· 7
 
0.6%
' 6
 
0.5%
% 4
 
0.4%
; 4
 
0.4%
Other values (2) 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 46
20.9%
1 39
17.7%
2 35
15.9%
6 28
12.7%
3 24
10.9%
4 14
 
6.4%
7 10
 
4.5%
5 10
 
4.5%
9 8
 
3.6%
8 6
 
2.7%
Other Symbol
ValueCountFrequency (%)
■ 2
28.6%
® 2
28.6%
™ 2
28.6%
㈜ 1
14.3%
Math Symbol
ValueCountFrequency (%)
+ 6
50.0%
> 4
33.3%
~ 2
 
16.7%
Space Separator
ValueCountFrequency (%)
3163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10719
50.3%
Latin 5682
26.7%
Common 4902
23.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 304
 
2.8%
제 299
 
2.8%
기 235
 
2.2%
스 199
 
1.9%
재 192
 
1.8%
소 168
 
1.6%
품 168
 
1.6%
이 164
 
1.5%
전 161
 
1.5%
자 159
 
1.5%
Other values (534) 8670
80.9%
Latin
ValueCountFrequency (%)
e 462
 
8.1%
P 364
 
6.4%
i 328
 
5.8%
a 291
 
5.1%
t 283
 
5.0%
o 276
 
4.9%
r 267
 
4.7%
n 245
 
4.3%
l 244
 
4.3%
s 185
 
3.3%
Other values (41) 2737
48.2%
Common
ValueCountFrequency (%)
3163
64.5%
, 855
 
17.4%
- 133
 
2.7%
) 117
 
2.4%
( 116
 
2.4%
. 104
 
2.1%
/ 76
 
1.6%
0 46
 
0.9%
1 39
 
0.8%
: 36
 
0.7%
Other values (23) 217
 
4.4%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10718
50.3%
ASCII 10569
49.6%
None 11
 
0.1%
Geometric Shapes 2
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
CJK 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3163
29.9%
, 855
 
8.1%
e 462
 
4.4%
P 364
 
3.4%
i 328
 
3.1%
a 291
 
2.8%
t 283
 
2.7%
o 276
 
2.6%
r 267
 
2.5%
n 245
 
2.3%
Other values (68) 4035
38.2%
Hangul
ValueCountFrequency (%)
용 304
 
2.8%
제 299
 
2.8%
기 235
 
2.2%
스 199
 
1.9%
재 192
 
1.8%
소 168
 
1.6%
품 168
 
1.6%
이 164
 
1.5%
전 161
 
1.5%
자 159
 
1.5%
Other values (533) 8669
80.9%
None
ValueCountFrequency (%)
· 7
63.6%
® 2
 
18.2%
㈜ 1
 
9.1%
₂ 1
 
9.1%
Geometric Shapes
ValueCountFrequency (%)
■ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
™ 2
100.0%
CJK
ValueCountFrequency (%)
外 1
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

홈페이지
Text

MISSING 

Distinct783
Distinct (%)99.1%
Missing241
Missing (%)23.4%
Memory size8.2 KiB
2023-12-12T14:58:56.383736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length30
Mean length19.431646
Min length1

Characters and Unicode

Total characters15351
Distinct characters57
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

Unique776 ?
Unique (%)98.2%

Sample

1st rowhttp://www.polysis.co.kr
2nd rowhttp://www.samsung.com/sec/
3rd rowhttp://www.iljincopperfoil.co.kr
4th rowhttp://www.finepolymer.co.kr
5th rowhttp://www.inktec.com
ValueCountFrequency (%)
http://www.sambark.co.kr 2
 
0.3%
www.suhkwangaone.net 2
 
0.3%
www.snogen.com 2
 
0.3%
www.lionchem-tech.co.kr 2
 
0.3%
www.asungvalve.com 2
 
0.3%
www.ktng.com 2
 
0.3%
www.filmaxamp.co.kr 2
 
0.3%
http://www.finepolymer.co.kr 2
 
0.3%
www.fine-tec.com 1
 
0.1%
www.kdac.co.kr 1
 
0.1%
Other values (774) 774
97.7%
2023-12-12T14:58:56.868464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 2413
15.7%
. 1972
12.8%
o 1220
 
7.9%
c 1175
 
7.7%
t 915
 
6.0%
m 655
 
4.3%
r 653
 
4.3%
/ 626
 
4.1%
h 607
 
4.0%
k 605
 
3.9%
Other values (47) 4510
29.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12300
80.1%
Other Punctuation 2900
 
18.9%
Dash Punctuation 71
 
0.5%
Decimal Number 59
 
0.4%
Uppercase Letter 12
 
0.1%
Space Separator 4
 
< 0.1%
Other Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 2413
19.6%
o 1220
9.9%
c 1175
 
9.6%
t 915
 
7.4%
m 655
 
5.3%
r 653
 
5.3%
h 607
 
4.9%
k 605
 
4.9%
e 590
 
4.8%
n 514
 
4.2%
Other values (16) 2953
24.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
16.7%
Y 1
8.3%
L 1
8.3%
P 1
8.3%
N 1
8.3%
K 1
8.3%
A 1
8.3%
E 1
8.3%
B 1
8.3%
U 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 20
33.9%
2 15
25.4%
7 6
 
10.2%
3 6
 
10.2%
9 5
 
8.5%
4 3
 
5.1%
8 2
 
3.4%
6 1
 
1.7%
0 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 1972
68.0%
/ 626
 
21.6%
: 299
 
10.3%
@ 3
 
0.1%
Other Letter
ValueCountFrequency (%)
중 1
25.0%
비 1
25.0%
준 1
25.0%
무 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12312
80.2%
Common 3035
 
19.8%
Hangul 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 2413
19.6%
o 1220
9.9%
c 1175
 
9.5%
t 915
 
7.4%
m 655
 
5.3%
r 653
 
5.3%
h 607
 
4.9%
k 605
 
4.9%
e 590
 
4.8%
n 514
 
4.2%
Other values (27) 2965
24.1%
Common
ValueCountFrequency (%)
. 1972
65.0%
/ 626
 
20.6%
: 299
 
9.9%
- 71
 
2.3%
1 20
 
0.7%
2 15
 
0.5%
7 6
 
0.2%
3 6
 
0.2%
9 5
 
0.2%
4
 
0.1%
Other values (6) 11
 
0.4%
Hangul
ValueCountFrequency (%)
중 1
25.0%
비 1
25.0%
준 1
25.0%
무 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15347
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 2413
15.7%
. 1972
12.8%
o 1220
 
7.9%
c 1175
 
7.7%
t 915
 
6.0%
m 655
 
4.3%
r 653
 
4.3%
/ 626
 
4.1%
h 607
 
4.0%
k 605
 
3.9%
Other values (43) 4506
29.4%
Hangul
ValueCountFrequency (%)
중 1
25.0%
비 1
25.0%
준 1
25.0%
무 1
25.0%

Interactions

2023-12-12T14:58:49.067793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:58:48.870625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:58:49.158563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:58:48.974481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:58:57.003215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종기업유형우편번호
순번1.0000.3740.2710.648
업종0.3741.0000.4340.000
기업유형0.2710.4341.0000.000
우편번호0.6480.0000.0001.000
2023-12-12T14:58:57.114633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종기업유형
업종1.0000.197
기업유형0.1971.000
2023-12-12T14:58:57.221116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호업종기업유형
순번1.0000.2850.1490.133
우편번호0.2851.0000.0000.000
업종0.1490.0001.0000.197
기업유형0.1330.0000.1971.000

Missing values

2023-12-12T14:58:49.297861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:58:49.486592image/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.
2023-12-12T14:58:49.664966image/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

순번기업명업종업태기업유형가입일자담당자 전화번호우편번호주소주요 생산제품 (소재)홈페이지
01세원소재<NA>중소기업2008-06-25031-338-0886<NA>경기 용인시 처인구 고림동 498-3<NA><NA>
12(주)평일 기술연구소부품<NA>중소기업2008-06-25031-420-6692<NA>경기도 안양시 관양2동 1475-1025.8kV 접속재류<NA>
23씰테크소재<NA>벤처기업2008-06-25031-456-3553<NA>경기도 군포시 당정동 522번지 SK벤티움 103동 504호씰리콘 점착제<NA>
34폴리시스 퓨어 프러덕트소재<NA>벤처기업2008-06-2602-963-2584<NA>서울 성북구 상월곡동 24-194 웅진빌딩 4층유기반도체물질http://www.polysis.co.kr
45삼성전자(주) 생활가전(사) GCS팀완제품<NA>대기업2008-06-27031-200-6347<NA>경기도 수원시 영통구 매탄3동 416 2단지 생활가전사업부QE팀생활가전제품http://www.samsung.com/sec/
56일진소재산업(주)소재<NA>중소기업2008-06-27<NA><NA>전북 익산시 팔봉동 827 일진소재산업㈜동박http://www.iljincopperfoil.co.kr
67에이스텍부품<NA>중소기업2008-06-2702-3141-6413<NA>서울시 마포구 성산동 275-56 교홍빌딩 205호정밀화학 소재<NA>
78화인폴리머(주)소재<NA>중소기업2008-06-27<NA><NA>경기도 화성시 봉담읍 왕림리 1-1번지고전압 절연용 EPDMhttp://www.finepolymer.co.kr
89(주)잉크테크부품<NA>중소기업2008-06-27031-490-6424<NA>경기도 안산시 단원구 신길동 1124번지 13B-13잉크젯용 잉크http://www.inktec.com
910(주)씨유이앤텍완제품<NA>벤처기업2008-07-01032-566-8227<NA>인천광역시 서구 심곡동 285-3 삼원빌딩 201호PILDThttp://www.cuentech.co.kr
순번기업명업종업태기업유형가입일자담당자 전화번호우편번호주소주요 생산제품 (소재)홈페이지
10211022이로텍완제품제조외중소기업2022-05-25042-670-8220<NA>대전광역시 대덕구 대화로 160, 6동 112호자동제어장치, 자동제어설비공사, 과학기자재, 소프트웨어개발<NA>
10221023아텍완제품제조외중소기업2022-05-25<NA><NA>대전광역시 서구 대덕대로 319, 3층 303호반도체관련장비, 자동화장비, PLC소프트웨어, PC소프트웨어<NA>
10231024바른공학완제품서비스벤처기업2022-05-25<NA><NA>서울특별시 서초구 강남대로 95길 9-10, 301호신개념 웨어러블 전기자극 솔루션 기반의 의료기기 및 의류http://barungonghak.com/
10241025밥스부품, 완제품제조중소기업2022-05-25<NA><NA>대전광역시 유성구 테크노1로 75, 409호LCD/OLED 기판이송용 Robot Hand, 박막필름 제조용 CFRP Roller, 선박관련 복합소재 부품, 자동차 관련 복합소재 부품www.bob-s.co.kr
10251026성일정공사부품제조중소기업2022-05-25<NA><NA>대구광역시 북구 노원로1길 191 (노원동 3가)자동차 오토레버, 기어박스, 엑셀러레이터, 패달<NA>
10261027신영부품제조중소기업2022-05-25<NA><NA>경상북도 영천시 본촌공단길 39자동차 부품, 금형, 자동화 설비www.shinyoung21.com/kr/main/main.asp
10271028몰드윈<NA><NA>중소기업2022-05-25<NA><NA>충청북도 청주시 서원구 현도면 죽전길 48번지자동차 금형(엔진커버, 배터리 Tray), 생활가전 금형(도어쿠션, 손잡이)www.moldwin.com/main/main.htm
10281029현대금형기술부품제조중소기업2022-05-25<NA><NA>경기도 화성시 팔탄면 서근리 205-2내장용 사출금형 제작<NA>
10291030햇빛일루콤부품제조중소기업2022-05-25<NA><NA>경기도 부천시 수도로 88-34(도당동)자동차 전장 부품 및 외장제품, 자동차 플라스틱 부품, 광학소재<NA>
10301031퓨어만 주식회사소재제조중소기업2022-03-17<NA><NA>충북 보은군 장안면 매화구인로 332-13HFC계 가스냉매 및 소화약제www.puremann.com