Overview

Dataset statistics

Number of variables7
Number of observations371
Missing cells9
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.1 KiB
Average record size in memory58.4 B

Variable types

Numeric2
Text3
DateTime1
Categorical1

Dataset

Description이 데이터는 충청남도 아산시의 산업단지 기업정보로, 기업명, 공장대표주소(지번), 최초등록일, 연락처, 종업원수, 입주단지명의 정보를 제공합니다.
Author충청남도 아산시
URLhttps://www.data.go.kr/data/15029008/fileData.do

Alerts

순번 is highly overall correlated with 단지명High correlation
단지명 is highly overall correlated with 순번High correlation
전화번호 has 9 (2.4%) missing valuesMissing
순번 has unique valuesUnique
종업원수 has 17 (4.6%) zerosZeros

Reproduction

Analysis started2024-04-21 01:03:30.553904
Analysis finished2024-04-21 01:03:32.541288
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct371
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186
Minimum1
Maximum371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:03:32.602640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.5
Q193.5
median186
Q3278.5
95-th percentile352.5
Maximum371
Range370
Interquartile range (IQR)185

Descriptive statistics

Standard deviation107.24272
Coefficient of variation (CV)0.57657374
Kurtosis-1.2
Mean186
Median Absolute Deviation (MAD)93
Skewness0
Sum69006
Variance11501
MonotonicityStrictly increasing
2024-04-21T10:03:32.716907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
246 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
Other values (361) 361
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
371 1
0.3%
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%

회사명
Text

Distinct347
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-21T10:03:32.938607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.5768194
Min length2

Characters and Unicode

Total characters3182
Distinct characters291
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique326 ?
Unique (%)87.9%

Sample

1st row(주)아이지비
2nd row(주)유니테크노
3rd row(주)코스모필름스코리아
4th row디와이오토(주)
5th row주식회사 드림오토
ValueCountFrequency (%)
주식회사 68
 
14.3%
아산공장 7
 
1.5%
태평양에어콘트롤공업(주 5
 
1.1%
주)코윈테크 4
 
0.8%
에스와이(주 3
 
0.6%
이든테크(주 3
 
0.6%
아산지점 3
 
0.6%
주)미래기계기술 2
 
0.4%
주)에스에이씨 2
 
0.4%
제4공장 2
 
0.4%
Other values (354) 376
79.2%
2024-04-21T10:03:33.300455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 344
 
10.8%
( 265
 
8.3%
) 265
 
8.3%
이 146
 
4.6%
스 111
 
3.5%
에 106
 
3.3%
104
 
3.3%
사 86
 
2.7%
회 83
 
2.6%
식 81
 
2.5%
Other values (281) 1591
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2494
78.4%
Open Punctuation 265
 
8.3%
Close Punctuation 265
 
8.3%
Space Separator 104
 
3.3%
Uppercase Letter 29
 
0.9%
Decimal Number 10
 
0.3%
Other Punctuation 8
 
0.3%
Other Symbol 4
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 344
 
13.8%
이 146
 
5.9%
스 111
 
4.5%
에 106
 
4.3%
사 86
 
3.4%
회 83
 
3.3%
식 81
 
3.2%
아 50
 
2.0%
크 41
 
1.6%
엔 40
 
1.6%
Other values (248) 1406
56.4%
Uppercase Letter
ValueCountFrequency (%)
A 4
13.8%
M 3
 
10.3%
X 3
 
10.3%
T 2
 
6.9%
L 2
 
6.9%
S 2
 
6.9%
H 2
 
6.9%
D 1
 
3.4%
W 1
 
3.4%
I 1
 
3.4%
Other values (8) 8
27.6%
Decimal Number
ValueCountFrequency (%)
4 3
30.0%
1 2
20.0%
3 2
20.0%
2 2
20.0%
5 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
& 2
 
25.0%
, 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
d 1
33.3%
t 1
33.3%
o 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Space Separator
ValueCountFrequency (%)
104
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2498
78.5%
Common 652
 
20.5%
Latin 32
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 344
 
13.8%
이 146
 
5.8%
스 111
 
4.4%
에 106
 
4.2%
사 86
 
3.4%
회 83
 
3.3%
식 81
 
3.2%
아 50
 
2.0%
크 41
 
1.6%
엔 40
 
1.6%
Other values (249) 1410
56.4%
Latin
ValueCountFrequency (%)
A 4
 
12.5%
M 3
 
9.4%
X 3
 
9.4%
T 2
 
6.2%
L 2
 
6.2%
S 2
 
6.2%
H 2
 
6.2%
D 1
 
3.1%
d 1
 
3.1%
W 1
 
3.1%
Other values (11) 11
34.4%
Common
ValueCountFrequency (%)
( 265
40.6%
) 265
40.6%
104
 
16.0%
. 5
 
0.8%
4 3
 
0.5%
& 2
 
0.3%
1 2
 
0.3%
3 2
 
0.3%
2 2
 
0.3%
5 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2494
78.4%
ASCII 684
 
21.5%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 344
 
13.8%
이 146
 
5.9%
스 111
 
4.5%
에 106
 
4.3%
사 86
 
3.4%
회 83
 
3.3%
식 81
 
3.2%
아 50
 
2.0%
크 41
 
1.6%
엔 40
 
1.6%
Other values (248) 1406
56.4%
ASCII
ValueCountFrequency (%)
( 265
38.7%
) 265
38.7%
104
 
15.2%
. 5
 
0.7%
A 4
 
0.6%
M 3
 
0.4%
4 3
 
0.4%
X 3
 
0.4%
& 2
 
0.3%
T 2
 
0.3%
Other values (22) 28
 
4.1%
None
ValueCountFrequency (%)
㈜ 4
100.0%

지번주소
Text

Distinct312
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-21T10:03:33.472591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length47
Mean length23.584906
Min length19

Characters and Unicode

Total characters8750
Distinct characters112
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique270 ?
Unique (%)72.8%

Sample

1st row충청남도 아산시 도고면 신언리 817번지 (도고면 신언리 817)
2nd row충청남도 아산시 도고면 신언리 813번지
3rd row충청남도 아산시 도고면 신언리 811번지
4th row충청남도 아산시 도고면 신언리 819번지 외 1필지
5th row충청남도 아산시 도고면 신언리 812번지
ValueCountFrequency (%)
충청남도 371
19.4%
아산시 371
19.4%
둔포면 200
 
10.5%
석곡리 184
 
9.6%
음봉면 52
 
2.7%
인주면 50
 
2.6%
걸매리 48
 
2.5%
득산동 35
 
1.8%
신휴리 30
 
1.6%
외 14
 
0.7%
Other values (372) 556
29.1%
2024-04-21T10:03:33.773218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1541
17.6%
산 438
 
5.0%
도 378
 
4.3%
아 378
 
4.3%
남 375
 
4.3%
충 371
 
4.2%
시 371
 
4.2%
청 371
 
4.2%
1 364
 
4.2%
리 337
 
3.9%
Other values (102) 3826
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5515
63.0%
Space Separator 1541
 
17.6%
Decimal Number 1539
 
17.6%
Dash Punctuation 101
 
1.2%
Open Punctuation 17
 
0.2%
Close Punctuation 16
 
0.2%
Uppercase Letter 15
 
0.2%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 438
 
7.9%
도 378
 
6.9%
아 378
 
6.9%
남 375
 
6.8%
충 371
 
6.7%
시 371
 
6.7%
청 371
 
6.7%
리 337
 
6.1%
면 333
 
6.0%
지 316
 
5.7%
Other values (80) 1847
33.5%
Decimal Number
ValueCountFrequency (%)
1 364
23.7%
3 205
13.3%
2 190
12.3%
5 167
10.9%
0 165
10.7%
4 108
 
7.0%
9 105
 
6.8%
7 90
 
5.8%
6 82
 
5.3%
8 63
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 5
33.3%
A 2
 
13.3%
S 2
 
13.3%
N 2
 
13.3%
G 2
 
13.3%
C 1
 
6.7%
L 1
 
6.7%
Space Separator
ValueCountFrequency (%)
1541
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5515
63.0%
Common 3220
36.8%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 438
 
7.9%
도 378
 
6.9%
아 378
 
6.9%
남 375
 
6.8%
충 371
 
6.7%
시 371
 
6.7%
청 371
 
6.7%
리 337
 
6.1%
면 333
 
6.0%
지 316
 
5.7%
Other values (80) 1847
33.5%
Common
ValueCountFrequency (%)
1541
47.9%
1 364
 
11.3%
3 205
 
6.4%
2 190
 
5.9%
5 167
 
5.2%
0 165
 
5.1%
4 108
 
3.4%
9 105
 
3.3%
- 101
 
3.1%
7 90
 
2.8%
Other values (5) 184
 
5.7%
Latin
ValueCountFrequency (%)
B 5
33.3%
A 2
 
13.3%
S 2
 
13.3%
N 2
 
13.3%
G 2
 
13.3%
C 1
 
6.7%
L 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5514
63.0%
ASCII 3235
37.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1541
47.6%
1 364
 
11.3%
3 205
 
6.3%
2 190
 
5.9%
5 167
 
5.2%
0 165
 
5.1%
4 108
 
3.3%
9 105
 
3.2%
- 101
 
3.1%
7 90
 
2.8%
Other values (12) 199
 
6.2%
Hangul
ValueCountFrequency (%)
산 438
 
7.9%
도 378
 
6.9%
아 378
 
6.9%
남 375
 
6.8%
충 371
 
6.7%
시 371
 
6.7%
청 371
 
6.7%
리 337
 
6.1%
면 333
 
6.0%
지 316
 
5.7%
Other values (79) 1846
33.5%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

최초등록일
Date

Distinct344
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1988-11-25 00:00:00
Maximum2024-03-06 00:00:00
2024-04-21T10:03:33.888493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:03:34.005905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct326
Distinct (%)90.1%
Missing9
Missing (%)2.4%
Memory size3.0 KiB
2024-04-21T10:03:34.222918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.044199
Min length11

Characters and Unicode

Total characters4360
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

Unique298 ?
Unique (%)82.3%

Sample

1st row041-547-1825
2nd row051-203-5460
3rd row041-531-1830
4th row041-901-4500
5th row041-533-8545
ValueCountFrequency (%)
041-629-3500 4
 
1.1%
041-543-2320 4
 
1.1%
041-547-2131 4
 
1.1%
041-547-3710 3
 
0.8%
041-582-6301 3
 
0.8%
062-945-0034 2
 
0.6%
041-532-3914 2
 
0.6%
041-549-7144 2
 
0.6%
041-534-8612 2
 
0.6%
041-536-9736 2
 
0.6%
Other values (316) 334
92.3%
2024-04-21T10:03:34.548609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 724
16.6%
0 703
16.1%
1 609
14.0%
4 584
13.4%
5 404
9.3%
3 349
8.0%
2 261
 
6.0%
7 200
 
4.6%
8 193
 
4.4%
6 170
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3636
83.4%
Dash Punctuation 724
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 703
19.3%
1 609
16.7%
4 584
16.1%
5 404
11.1%
3 349
9.6%
2 261
 
7.2%
7 200
 
5.5%
8 193
 
5.3%
6 170
 
4.7%
9 163
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 724
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 724
16.6%
0 703
16.1%
1 609
14.0%
4 584
13.4%
5 404
9.3%
3 349
8.0%
2 261
 
6.0%
7 200
 
4.6%
8 193
 
4.4%
6 170
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 724
16.6%
0 703
16.1%
1 609
14.0%
4 584
13.4%
5 404
9.3%
3 349
8.0%
2 261
 
6.0%
7 200
 
4.6%
8 193
 
4.4%
6 170
 
3.9%

종업원수
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.43935
Minimum0
Maximum14050
Zeros17
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-04-21T10:03:34.669313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median28
Q362
95-th percentile247.5
Maximum14050
Range14050
Interquartile range (IQR)52

Descriptive statistics

Standard deviation884.01958
Coefficient of variation (CV)6.4320703
Kurtosis191.20311
Mean137.43935
Median Absolute Deviation (MAD)20
Skewness13.288803
Sum50990
Variance781490.63
MonotonicityNot monotonic
2024-04-21T10:03:34.784837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
4.6%
10 13
 
3.5%
30 13
 
3.5%
20 13
 
3.5%
6 12
 
3.2%
9 11
 
3.0%
5 11
 
3.0%
7 9
 
2.4%
11 9
 
2.4%
15 7
 
1.9%
Other values (116) 256
69.0%
ValueCountFrequency (%)
0 17
4.6%
1 1
 
0.3%
2 6
 
1.6%
3 5
 
1.3%
4 4
 
1.1%
5 11
3.0%
6 12
3.2%
7 9
2.4%
8 6
 
1.6%
9 11
3.0%
ValueCountFrequency (%)
14050 1
0.3%
8800 1
0.3%
2832 1
0.3%
2500 1
0.3%
1282 1
0.3%
1222 1
0.3%
679 1
0.3%
653 1
0.3%
531 1
0.3%
500 1
0.3%

단지명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
아산테크노밸리일반산업단지
126 
아산제2테크노밸리일반산업단지
86 
아산인주일반산업단지
50 
아산득산농공단지
36 
아산스마트밸리일반산업단지
 
12
Other values (11)
61 

Length

Max length18
Median length15
Mean length12.145553
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아산도고농공단지
2nd row아산도고농공단지
3rd row아산도고농공단지
4th row아산도고농공단지
5th row아산도고농공단지

Common Values

ValueCountFrequency (%)
아산테크노밸리일반산업단지 126
34.0%
아산제2테크노밸리일반산업단지 86
23.2%
아산인주일반산업단지 50
 
13.5%
아산득산농공단지 36
 
9.7%
아산스마트밸리일반산업단지 12
 
3.2%
아산디지털일반산업단지 10
 
2.7%
아산운용일반산업단지 10
 
2.7%
아산탕정디스플레이시티1일반산업단지 9
 
2.4%
아산도고농공단지 6
 
1.6%
아산신창농공단지 6
 
1.6%
Other values (6) 20
 
5.4%

Length

2024-04-21T10:03:34.900026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아산테크노밸리일반산업단지 126
34.0%
아산제2테크노밸리일반산업단지 86
23.2%
아산인주일반산업단지 50
 
13.5%
아산득산농공단지 36
 
9.7%
아산스마트밸리일반산업단지 12
 
3.2%
아산디지털일반산업단지 10
 
2.7%
아산운용일반산업단지 10
 
2.7%
아산탕정디스플레이시티1일반산업단지 9
 
2.4%
아산도고농공단지 6
 
1.6%
아산신창농공단지 6
 
1.6%
Other values (6) 20
 
5.4%

Interactions

2024-04-21T10:03:32.139031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:03:31.895628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:03:32.245063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:03:32.032300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:03:34.966026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수단지명
순번1.0000.0170.904
종업원수0.0171.0000.403
단지명0.9040.4031.000
2024-04-21T10:03:35.033950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수단지명
순번1.000-0.0340.654
종업원수-0.0341.0000.215
단지명0.6540.2151.000

Missing values

2024-04-21T10:03:32.365943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:03:32.492932image/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

순번회사명지번주소최초등록일전화번호종업원수단지명
01(주)아이지비충청남도 아산시 도고면 신언리 817번지 (도고면 신언리 817)2012-01-16041-547-182528아산도고농공단지
12(주)유니테크노충청남도 아산시 도고면 신언리 813번지2013-04-22051-203-546074아산도고농공단지
23(주)코스모필름스코리아충청남도 아산시 도고면 신언리 811번지2012-01-16041-531-183025아산도고농공단지
34디와이오토(주)충청남도 아산시 도고면 신언리 819번지 외 1필지2011-11-02041-901-4500390아산도고농공단지
45주식회사 드림오토충청남도 아산시 도고면 신언리 812번지2014-06-11041-533-854580아산도고농공단지
56주식회사 에스엠벡셀충청남도 아산시 도고면 신언리 823번지2014-12-12041-529-7731206아산도고농공단지
67(주)제이에스엔지니어링충청남도 아산시 둔포면 관대리 34-5번지1995-08-11041-531-450122아산둔포농공단지
78(주)평산충청남도 아산시 둔포면 산전리 170-1번지 외 2필지2000-03-27041-531-0600186아산둔포농공단지
89동성제약(주)충청남도 아산시 둔포면 관대리 36번지 (관대리 36-25번지)1997-09-09041-420-5402130아산둔포농공단지
910한국아이티닷컴(주)충청남도 아산시 둔포면 관대리 34-5번지2004-04-16<NA>5아산둔포농공단지
순번회사명지번주소최초등록일전화번호종업원수단지명
361362케이테크충청남도 아산시 둔포면 석곡리 1364-02021-01-11041-581-81090아산테크노밸리일반산업단지
362363태창레이저충청남도 아산시 둔포면 석곡리 1506번지2013-07-10041-532-130023아산테크노밸리일반산업단지
363364한국앱티브커넥션시스템즈 유한책임회사충청남도 아산시 둔포면 석곡리 14832023-11-01031-1350-160089아산테크노밸리일반산업단지
364365한국철강공업(주)충청남도 아산시 둔포면 석곡리 1365번지2015-10-12031-691-245113아산테크노밸리일반산업단지
365366한본인더스트리주식회사충청남도 아산시 둔포면 석곡리 1333번지2012-09-18041-532-170736아산테크노밸리일반산업단지
366367한산스크류주식회사충청남도 아산시 둔포면 석곡리 1327번지2017-05-01041-532-17369아산테크노밸리일반산업단지
367368한수테크니칼서비스(주)충청남도 아산시 둔포면 석곡리 1485번지2012-06-05031-789-170058아산테크노밸리일반산업단지
368369한화로보틱스(주)충청남도 아산시 둔포면 석곡리 15472024-01-24031-8016-510112아산테크노밸리일반산업단지
369370한화에어로스페이스(주)충청남도 아산시 둔포면 석곡리 1512번지2013-01-16041-538-7544490아산테크노밸리일반산업단지
370371화인솔루션(주) 지점충청남도 아산시 둔포면 석곡리 1327번지2013-02-01041-545-21018아산테크노밸리일반산업단지