Overview

Dataset statistics

Number of variables6
Number of observations491
Missing cells113
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.1 KiB
Average record size in memory48.3 B

Variable types

Text4
Categorical2

Dataset

Description보령시에 있는 제조업체 공장 현황에 대한 데이터로 업체명, 주소, 전화번호, 생산품, 데이터 기준일자를 제공합니다.
Author충청남도 보령시
URLhttps://www.data.go.kr/data/15036103/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 111 (22.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 03:15:39.178940
Analysis finished2023-12-12 03:15:40.210799
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct474
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T12:15:40.436278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.6496945
Min length2

Characters and Unicode

Total characters3756
Distinct characters343
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

Unique458 ?
Unique (%)93.3%

Sample

1st row(유)다정수산
2nd row(유)서해명가
3rd row(유)엘케이씨푸드
4th row(주) 서광중공업
5th row(주) 에스아이판
ValueCountFrequency (%)
주식회사 64
 
10.5%
농업회사법인 11
 
1.8%
대흥우드산업(주 4
 
0.7%
2공장 4
 
0.7%
보령지점 3
 
0.5%
유한회사 3
 
0.5%
보령플라이애쉬시멘트산업(주 2
 
0.3%
예성석재 2
 
0.3%
어업회사법인 2
 
0.3%
보령광천수산영어조합법인 2
 
0.3%
Other values (490) 512
84.1%
2023-12-12T12:15:40.975799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
275
 
7.3%
( 193
 
5.1%
) 193
 
5.1%
124
 
3.3%
120
 
3.2%
107
 
2.8%
102
 
2.7%
80
 
2.1%
74
 
2.0%
71
 
1.9%
Other values (333) 2417
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3215
85.6%
Open Punctuation 193
 
5.1%
Close Punctuation 193
 
5.1%
Space Separator 120
 
3.2%
Decimal Number 16
 
0.4%
Uppercase Letter 16
 
0.4%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
275
 
8.6%
124
 
3.9%
107
 
3.3%
102
 
3.2%
80
 
2.5%
74
 
2.3%
71
 
2.2%
70
 
2.2%
63
 
2.0%
60
 
1.9%
Other values (312) 2189
68.1%
Uppercase Letter
ValueCountFrequency (%)
O 3
18.8%
P 2
12.5%
C 2
12.5%
A 2
12.5%
F 2
12.5%
R 1
 
6.2%
H 1
 
6.2%
Z 1
 
6.2%
L 1
 
6.2%
S 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 10
62.5%
3 2
 
12.5%
9 1
 
6.2%
0 1
 
6.2%
7 1
 
6.2%
6 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
& 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3215
85.6%
Common 525
 
14.0%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
275
 
8.6%
124
 
3.9%
107
 
3.3%
102
 
3.2%
80
 
2.5%
74
 
2.3%
71
 
2.2%
70
 
2.2%
63
 
2.0%
60
 
1.9%
Other values (312) 2189
68.1%
Common
ValueCountFrequency (%)
( 193
36.8%
) 193
36.8%
120
22.9%
2 10
 
1.9%
. 2
 
0.4%
3 2
 
0.4%
9 1
 
0.2%
0 1
 
0.2%
7 1
 
0.2%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
O 3
18.8%
P 2
12.5%
C 2
12.5%
A 2
12.5%
F 2
12.5%
R 1
 
6.2%
H 1
 
6.2%
Z 1
 
6.2%
L 1
 
6.2%
S 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3215
85.6%
ASCII 541
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
275
 
8.6%
124
 
3.9%
107
 
3.3%
102
 
3.2%
80
 
2.5%
74
 
2.3%
71
 
2.2%
70
 
2.2%
63
 
2.0%
60
 
1.9%
Other values (312) 2189
68.1%
ASCII
ValueCountFrequency (%)
( 193
35.7%
) 193
35.7%
120
22.2%
2 10
 
1.8%
O 3
 
0.6%
. 2
 
0.4%
P 2
 
0.4%
3 2
 
0.4%
C 2
 
0.4%
A 2
 
0.4%
Other values (11) 12
 
2.2%

단지명
Categorical

Distinct11
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
<NA>
315 
보령웅천농공단지
41 
보령웅천석재농공단지
 
25
보령청소농공단지
 
25
보령관창일반산업단지
 
24
Other values (6)
61 

Length

Max length10
Median length4
Mean length5.7148676
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row웅천일반산업단지
4th row<NA>
5th row보령웅천농공단지

Common Values

ValueCountFrequency (%)
<NA> 315
64.2%
보령웅천농공단지 41
 
8.4%
보령웅천석재농공단지 25
 
5.1%
보령청소농공단지 25
 
5.1%
보령관창일반산업단지 24
 
4.9%
보령주포농공단지 20
 
4.1%
보령주포제2농공단지 17
 
3.5%
보령요암농공단지 16
 
3.3%
보령주산농공단지 3
 
0.6%
보령관창지방산업단지 3
 
0.6%

Length

2023-12-12T12:15:41.208409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 315
64.2%
보령웅천농공단지 41
 
8.4%
보령웅천석재농공단지 25
 
5.1%
보령청소농공단지 25
 
5.1%
보령관창일반산업단지 24
 
4.9%
보령주포농공단지 20
 
4.1%
보령주포제2농공단지 17
 
3.5%
보령요암농공단지 16
 
3.3%
보령주산농공단지 3
 
0.6%
보령관창지방산업단지 3
 
0.6%

전화번호
Text

MISSING 

Distinct351
Distinct (%)92.4%
Missing111
Missing (%)22.6%
Memory size4.0 KiB
2023-12-12T12:15:41.553855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.997368
Min length2

Characters and Unicode

Total characters4939
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

Unique328 ?
Unique (%)86.3%

Sample

1st row_041-934-6778
2nd row_041-934-3652
3rd row_041-935-4177
4th row_041-931-3891
5th row_041-642-1192
ValueCountFrequency (%)
041-932-9804 4
 
1.1%
041-934-3735 3
 
0.8%
031-494-9271 3
 
0.8%
041-934-5520 3
 
0.8%
041-932-3678 3
 
0.8%
041-935-4244 2
 
0.5%
041-935-8595 2
 
0.5%
041-933-7835 2
 
0.5%
041-939-7850 2
 
0.5%
041-931-2273 2
 
0.5%
Other values (341) 354
93.2%
2023-12-12T12:15:42.135501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 758
15.3%
1 679
13.7%
4 595
12.0%
0 573
11.6%
3 560
11.3%
9 491
9.9%
_ 382
7.7%
2 207
 
4.2%
6 206
 
4.2%
5 189
 
3.8%
Other values (2) 299
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3799
76.9%
Dash Punctuation 758
 
15.3%
Connector Punctuation 382
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 679
17.9%
4 595
15.7%
0 573
15.1%
3 560
14.7%
9 491
12.9%
2 207
 
5.4%
6 206
 
5.4%
5 189
 
5.0%
7 158
 
4.2%
8 141
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 758
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 382
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4939
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 758
15.3%
1 679
13.7%
4 595
12.0%
0 573
11.6%
3 560
11.3%
9 491
9.9%
_ 382
7.7%
2 207
 
4.2%
6 206
 
4.2%
5 189
 
3.8%
Other values (2) 299
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4939
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 758
15.3%
1 679
13.7%
4 595
12.0%
0 573
11.6%
3 560
11.3%
9 491
9.9%
_ 382
7.7%
2 207
 
4.2%
6 206
 
4.2%
5 189
 
3.8%
Other values (2) 299
 
6.1%
Distinct375
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T12:15:42.588756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length8.2708758
Min length1

Characters and Unicode

Total characters4061
Distinct characters417
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

Unique340 ?
Unique (%)69.2%

Sample

1st row마른멸치
2nd row맛김
3rd row수산가공품
4th row강선, 합성수지선, 기타 선박
5th row그 외 기타고무제품 제조업
ValueCountFrequency (%)
맛김 29
 
3.4%
조미김 23
 
2.7%
20
 
2.3%
18
 
2.1%
석제품 13
 
1.5%
액젓 9
 
1.1%
묘비석 8
 
0.9%
자동차부품 8
 
0.9%
마른멸치 8
 
0.9%
damper 7
 
0.8%
Other values (554) 710
83.2%
2023-12-12T12:15:43.677774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
363
 
8.9%
, 256
 
6.3%
88
 
2.2%
86
 
2.1%
84
 
2.1%
78
 
1.9%
65
 
1.6%
55
 
1.4%
54
 
1.3%
53
 
1.3%
Other values (407) 2879
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3156
77.7%
Space Separator 363
 
8.9%
Other Punctuation 268
 
6.6%
Uppercase Letter 188
 
4.6%
Lowercase Letter 29
 
0.7%
Close Punctuation 22
 
0.5%
Open Punctuation 22
 
0.5%
Decimal Number 11
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
88
 
2.8%
86
 
2.7%
84
 
2.7%
78
 
2.5%
65
 
2.1%
55
 
1.7%
54
 
1.7%
53
 
1.7%
49
 
1.6%
48
 
1.5%
Other values (359) 2496
79.1%
Uppercase Letter
ValueCountFrequency (%)
C 26
13.8%
P 22
11.7%
E 20
10.6%
L 17
9.0%
D 14
 
7.4%
V 12
 
6.4%
R 12
 
6.4%
T 10
 
5.3%
F 9
 
4.8%
A 8
 
4.3%
Other values (12) 38
20.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
17.2%
p 4
13.8%
l 4
13.8%
r 3
10.3%
c 3
10.3%
a 2
 
6.9%
m 2
 
6.9%
y 2
 
6.9%
u 2
 
6.9%
v 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
6 5
45.5%
0 1
 
9.1%
5 1
 
9.1%
4 1
 
9.1%
1 1
 
9.1%
7 1
 
9.1%
2 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 256
95.5%
. 10
 
3.7%
· 1
 
0.4%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
363
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3156
77.7%
Common 688
 
16.9%
Latin 217
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
88
 
2.8%
86
 
2.7%
84
 
2.7%
78
 
2.5%
65
 
2.1%
55
 
1.7%
54
 
1.7%
53
 
1.7%
49
 
1.6%
48
 
1.5%
Other values (359) 2496
79.1%
Latin
ValueCountFrequency (%)
C 26
 
12.0%
P 22
 
10.1%
E 20
 
9.2%
L 17
 
7.8%
D 14
 
6.5%
V 12
 
5.5%
R 12
 
5.5%
T 10
 
4.6%
F 9
 
4.1%
A 8
 
3.7%
Other values (23) 67
30.9%
Common
ValueCountFrequency (%)
363
52.8%
, 256
37.2%
) 22
 
3.2%
( 22
 
3.2%
. 10
 
1.5%
6 5
 
0.7%
- 2
 
0.3%
0 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
Other values (5) 5
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3156
77.7%
ASCII 904
 
22.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
363
40.2%
, 256
28.3%
C 26
 
2.9%
) 22
 
2.4%
( 22
 
2.4%
P 22
 
2.4%
E 20
 
2.2%
L 17
 
1.9%
D 14
 
1.5%
V 12
 
1.3%
Other values (37) 130
 
14.4%
Hangul
ValueCountFrequency (%)
88
 
2.8%
86
 
2.7%
84
 
2.7%
78
 
2.5%
65
 
2.1%
55
 
1.7%
54
 
1.7%
53
 
1.7%
49
 
1.6%
48
 
1.5%
Other values (359) 2496
79.1%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct447
Distinct (%)91.4%
Missing2
Missing (%)0.4%
Memory size4.0 KiB
2023-12-12T12:15:43.999011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length39
Mean length24.773006
Min length17

Characters and Unicode

Total characters12114
Distinct characters151
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

Unique412 ?
Unique (%)84.3%

Sample

1st row충청남도 보령시 오천면 소성리 883번지
2nd row충청남도 보령시 죽정동 316-1번지
3rd row충청남도 보령시 웅천읍 구룡리 산 181
4th row충청남도 보령시 주교면 송학리 583-6번지
5th row충청남도 보령시 웅천읍 구룡리 5-3번지
ValueCountFrequency (%)
충청남도 489
18.3%
보령시 489
18.3%
105
 
3.9%
웅천읍 101
 
3.8%
주교면 71
 
2.7%
1필지 60
 
2.2%
청소면 53
 
2.0%
남포면 48
 
1.8%
구룡리 42
 
1.6%
주포면 42
 
1.6%
Other values (553) 1168
43.8%
2023-12-12T12:15:44.605142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2180
18.0%
561
 
4.6%
553
 
4.6%
552
 
4.6%
1 513
 
4.2%
501
 
4.1%
492
 
4.1%
490
 
4.0%
489
 
4.0%
489
 
4.0%
Other values (141) 5294
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7428
61.3%
Space Separator 2180
 
18.0%
Decimal Number 2088
 
17.2%
Dash Punctuation 380
 
3.1%
Close Punctuation 13
 
0.1%
Open Punctuation 13
 
0.1%
Uppercase Letter 7
 
0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
561
 
7.6%
553
 
7.4%
552
 
7.4%
501
 
6.7%
492
 
6.6%
490
 
6.6%
489
 
6.6%
489
 
6.6%
445
 
6.0%
408
 
5.5%
Other values (119) 2448
33.0%
Decimal Number
ValueCountFrequency (%)
1 513
24.6%
2 326
15.6%
3 204
 
9.8%
4 176
 
8.4%
6 165
 
7.9%
7 162
 
7.8%
0 152
 
7.3%
9 139
 
6.7%
5 135
 
6.5%
8 116
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
Y 1
14.3%
H 1
14.3%
L 1
14.3%
S 1
14.3%
A 1
14.3%
F 1
14.3%
B 1
14.3%
Space Separator
ValueCountFrequency (%)
2180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 380
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7428
61.3%
Common 4679
38.6%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
561
 
7.6%
553
 
7.4%
552
 
7.4%
501
 
6.7%
492
 
6.6%
490
 
6.6%
489
 
6.6%
489
 
6.6%
445
 
6.0%
408
 
5.5%
Other values (119) 2448
33.0%
Common
ValueCountFrequency (%)
2180
46.6%
1 513
 
11.0%
- 380
 
8.1%
2 326
 
7.0%
3 204
 
4.4%
4 176
 
3.8%
6 165
 
3.5%
7 162
 
3.5%
0 152
 
3.2%
9 139
 
3.0%
Other values (5) 282
 
6.0%
Latin
ValueCountFrequency (%)
Y 1
14.3%
H 1
14.3%
L 1
14.3%
S 1
14.3%
A 1
14.3%
F 1
14.3%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7428
61.3%
ASCII 4686
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2180
46.5%
1 513
 
10.9%
- 380
 
8.1%
2 326
 
7.0%
3 204
 
4.4%
4 176
 
3.8%
6 165
 
3.5%
7 162
 
3.5%
0 152
 
3.2%
9 139
 
3.0%
Other values (12) 289
 
6.2%
Hangul
ValueCountFrequency (%)
561
 
7.6%
553
 
7.4%
552
 
7.4%
501
 
6.7%
492
 
6.6%
490
 
6.6%
489
 
6.6%
489
 
6.6%
445
 
6.0%
408
 
5.5%
Other values (119) 2448
33.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2021-04-26
491 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-04-26
2nd row2021-04-26
3rd row2021-04-26
4th row2021-04-26
5th row2021-04-26

Common Values

ValueCountFrequency (%)
2021-04-26 491
100.0%

Length

2023-12-12T12:15:44.784190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:15:44.903288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-04-26 491
100.0%

Missing values

2023-12-12T12:15:39.820749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:15:39.983758image/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.
2023-12-12T12:15:40.127486image/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

회사명단지명전화번호생산품공장대표주소(지번)데이터기준일
0(유)다정수산<NA><NA>마른멸치충청남도 보령시 오천면 소성리 883번지2021-04-26
1(유)서해명가<NA><NA>맛김충청남도 보령시 죽정동 316-1번지2021-04-26
2(유)엘케이씨푸드웅천일반산업단지<NA>수산가공품충청남도 보령시 웅천읍 구룡리 산 1812021-04-26
3(주) 서광중공업<NA>_041-934-6778강선, 합성수지선, 기타 선박충청남도 보령시 주교면 송학리 583-6번지2021-04-26
4(주) 에스아이판보령웅천농공단지_041-934-3652그 외 기타고무제품 제조업충청남도 보령시 웅천읍 구룡리 5-3번지2021-04-26
5(주)강남에너텍보령요암농공단지_041-935-4177태양열집열판충청남도 보령시 요암동 72-1번지2021-04-26
6(주)강호<NA>_041-931-3891DAMPER PULLEY충청남도 보령시 주교면 주교리 686-10 번지2021-04-26
7(주)거성포장 보령지점<NA>_041-642-1192골판지 박스, 칼라박스충청남도 보령시 청소면 죽림리 415-5 외 4필지2021-04-26
8(주)건양<NA>_041-0931-0924레미콘충청남도 보령시 남포면 양기리 285-1번지2021-04-26
9(주)광명보령웅천석재농공단지<NA>파우더합금충청남도 보령시 웅천읍 대창리 963-1번지2021-04-26
회사명단지명전화번호생산품공장대표주소(지번)데이터기준일
481현대수산맛김<NA>_041-934-1415맛김충청남도 보령시 주교면 은포리 782번지2021-04-26
482형제석재조경<NA>_041-935-3568석재품충청남도 보령시 웅천읍 대천리 53번지 대천로 532021-04-26
483홈데코하우스<NA><NA>건물용 컨테이너충청남도 보령시 주교면 관창리 432 외 1필지2021-04-26
484홍보요업<NA>_041-641-8989가정용도자기충청남도 보령시 천북면 낙동리 304-1번지2021-04-26
485화림보령청소농공단지_041-936-4243톰슨나이프(박스 절단칼)충청남도 보령시 청소면 장곡리 1176-2번지2021-04-26
486화살영농조합법인<NA>_041-931-0224맛김충청남도 보령시 대천동 711번지 외 1필지2021-04-26
487화신기계<NA>_041-931-6568샤프트, 철구조물충청남도 보령시 주교면 은포리 131번지2021-04-26
488화신실업<NA>_041-932-8829메트리스충청남도 보령시 천북면 낙동리 992-2번지 외 2필지2021-04-26
489효성석재<NA>_041-934-8108묘비석충청남도 보령시 성주면 개화리 194-9 번지 외 1필지2021-04-26
490흥일씨푸드(주)<NA>_041-931-9566수산동물 냉동품 및 가공품충청남도 보령시 내항동 893-4번지2021-04-26