Overview

Dataset statistics

Number of variables6
Number of observations452
Missing cells59
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.8 KiB
Average record size in memory49.3 B

Variable types

Text4
Numeric1
DateTime1

Dataset

Description예산군 소재 기업체현황에 대한 데이터로 기업체명, 도로명 주소, 생산품, 종업원수, 전화번호 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=96&beforeMenuCd=DOM_000000201001001000&publicdatapk=15104658

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 57 (12.6%) missing valuesMissing
종업원수 has 6 (1.3%) zerosZeros

Reproduction

Analysis started2024-01-09 19:46:10.543599
Analysis finished2024-01-09 19:46:11.278730
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct438
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T04:46:11.405813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length7.7853982
Min length2

Characters and Unicode

Total characters3519
Distinct characters340
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

Unique428 ?
Unique (%)94.7%

Sample

1st row(농)아이파머스(주)
2nd row(유)에치비
3rd row(주)NSC
4th row(주)경안섬유
5th row(주)경인양행
ValueCountFrequency (%)
주식회사 23
 
4.5%
농업회사법인 7
 
1.4%
주)신호인더스트리 4
 
0.8%
삼박엘에프티(주 3
 
0.6%
예산 3
 
0.6%
주)녹수 3
 
0.6%
주)더본코리아 2
 
0.4%
삼보오토(주 2
 
0.4%
예당공장 2
 
0.4%
예산공장 2
 
0.4%
Other values (447) 462
90.1%
2024-01-10T04:46:11.682383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 336
 
9.5%
( 305
 
8.7%
) 305
 
8.7%
이 87
 
2.5%
산 83
 
2.4%
스 75
 
2.1%
업 74
 
2.1%
사 67
 
1.9%
61
 
1.7%
에 54
 
1.5%
Other values (330) 2072
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2809
79.8%
Open Punctuation 306
 
8.7%
Close Punctuation 306
 
8.7%
Space Separator 61
 
1.7%
Uppercase Letter 19
 
0.5%
Decimal Number 11
 
0.3%
Other Punctuation 4
 
0.1%
Other Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 336
 
12.0%
이 87
 
3.1%
산 83
 
3.0%
스 75
 
2.7%
업 74
 
2.6%
사 67
 
2.4%
에 54
 
1.9%
회 48
 
1.7%
예 44
 
1.6%
인 42
 
1.5%
Other values (306) 1899
67.6%
Uppercase Letter
ValueCountFrequency (%)
R 2
10.5%
P 2
10.5%
N 2
10.5%
S 2
10.5%
C 2
10.5%
M 2
10.5%
G 1
 
5.3%
E 1
 
5.3%
T 1
 
5.3%
I 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
2 7
63.6%
3 2
 
18.2%
1 2
 
18.2%
Open Punctuation
ValueCountFrequency (%)
( 305
99.7%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 305
99.7%
] 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2812
79.9%
Common 688
 
19.6%
Latin 19
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 336
 
11.9%
이 87
 
3.1%
산 83
 
3.0%
스 75
 
2.7%
업 74
 
2.6%
사 67
 
2.4%
에 54
 
1.9%
회 48
 
1.7%
예 44
 
1.6%
인 42
 
1.5%
Other values (307) 1902
67.6%
Latin
ValueCountFrequency (%)
R 2
10.5%
P 2
10.5%
N 2
10.5%
S 2
10.5%
C 2
10.5%
M 2
10.5%
G 1
 
5.3%
E 1
 
5.3%
T 1
 
5.3%
I 1
 
5.3%
Other values (3) 3
15.8%
Common
ValueCountFrequency (%)
( 305
44.3%
) 305
44.3%
61
 
8.9%
2 7
 
1.0%
& 2
 
0.3%
3 2
 
0.3%
1 2
 
0.3%
. 2
 
0.3%
] 1
 
0.1%
[ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2809
79.8%
ASCII 707
 
20.1%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 336
 
12.0%
이 87
 
3.1%
산 83
 
3.0%
스 75
 
2.7%
업 74
 
2.6%
사 67
 
2.4%
에 54
 
1.9%
회 48
 
1.7%
예 44
 
1.6%
인 42
 
1.5%
Other values (306) 1899
67.6%
ASCII
ValueCountFrequency (%)
( 305
43.1%
) 305
43.1%
61
 
8.6%
2 7
 
1.0%
R 2
 
0.3%
& 2
 
0.3%
P 2
 
0.3%
N 2
 
0.3%
S 2
 
0.3%
C 2
 
0.3%
Other values (13) 17
 
2.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%

도로명주소
Text

Distinct419
Distinct (%)93.1%
Missing2
Missing (%)0.4%
Memory size3.7 KiB
2024-01-10T04:46:11.900678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length45
Mean length26.237778
Min length18

Characters and Unicode

Total characters11807
Distinct characters203
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

Unique391 ?
Unique (%)86.9%

Sample

1st row충청남도 예산군 응봉면 예당로 1430 외 1필지
2nd row충청남도 예산군 고덕면 예당산단4길 67
3rd row충청남도 예산군 예산읍 수철길 10 (충남테크노파크)
4th row충청남도 예산군 신암면 오산종경길 64
5th row충청남도 예산군 응봉면 산단1길 7
ValueCountFrequency (%)
충청남도 450
 
17.2%
예산군 450
 
17.2%
고덕면 89
 
3.4%
외 88
 
3.4%
삽교읍 86
 
3.3%
예산읍 69
 
2.6%
신암면 63
 
2.4%
오가면 44
 
1.7%
예산산업단지로 36
 
1.4%
1필지 36
 
1.4%
Other values (567) 1212
46.2%
2024-01-10T04:46:12.406309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2173
18.4%
산 832
 
7.0%
예 657
 
5.6%
충 473
 
4.0%
남 465
 
3.9%
군 452
 
3.8%
청 451
 
3.8%
도 450
 
3.8%
1 369
 
3.1%
면 300
 
2.5%
Other values (193) 5185
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7402
62.7%
Space Separator 2173
 
18.4%
Decimal Number 1805
 
15.3%
Dash Punctuation 194
 
1.6%
Open Punctuation 77
 
0.7%
Close Punctuation 77
 
0.7%
Other Punctuation 74
 
0.6%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 832
 
11.2%
예 657
 
8.9%
충 473
 
6.4%
남 465
 
6.3%
군 452
 
6.1%
청 451
 
6.1%
도 450
 
6.1%
면 300
 
4.1%
지 264
 
3.6%
로 208
 
2.8%
Other values (172) 2850
38.5%
Decimal Number
ValueCountFrequency (%)
1 369
20.4%
2 262
14.5%
3 245
13.6%
5 156
8.6%
6 154
8.5%
0 143
 
7.9%
4 143
 
7.9%
7 122
 
6.8%
8 120
 
6.6%
9 91
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
20.0%
T 1
20.0%
O 1
20.0%
X 1
20.0%
C 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 73
98.6%
/ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
2173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7402
62.7%
Common 4400
37.3%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 832
 
11.2%
예 657
 
8.9%
충 473
 
6.4%
남 465
 
6.3%
군 452
 
6.1%
청 451
 
6.1%
도 450
 
6.1%
면 300
 
4.1%
지 264
 
3.6%
로 208
 
2.8%
Other values (172) 2850
38.5%
Common
ValueCountFrequency (%)
2173
49.4%
1 369
 
8.4%
2 262
 
6.0%
3 245
 
5.6%
- 194
 
4.4%
5 156
 
3.5%
6 154
 
3.5%
0 143
 
3.2%
4 143
 
3.2%
7 122
 
2.8%
Other values (6) 439
 
10.0%
Latin
ValueCountFrequency (%)
B 1
20.0%
T 1
20.0%
O 1
20.0%
X 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7402
62.7%
ASCII 4405
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2173
49.3%
1 369
 
8.4%
2 262
 
5.9%
3 245
 
5.6%
- 194
 
4.4%
5 156
 
3.5%
6 154
 
3.5%
0 143
 
3.2%
4 143
 
3.2%
7 122
 
2.8%
Other values (11) 444
 
10.1%
Hangul
ValueCountFrequency (%)
산 832
 
11.2%
예 657
 
8.9%
충 473
 
6.4%
남 465
 
6.3%
군 452
 
6.1%
청 451
 
6.1%
도 450
 
6.1%
면 300
 
4.1%
지 264
 
3.6%
로 208
 
2.8%
Other values (172) 2850
38.5%

생산품
Text

Distinct412
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T04:46:12.604793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length29
Mean length9.5995575
Min length1

Characters and Unicode

Total characters4339
Distinct characters462
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

Unique384 ?
Unique (%)85.0%

Sample

1st row사과생즙, ABC주스, 사과말랭이
2nd row소스류, 복합조미식품
3rd row조형물,간판
4th row테이프원단
5th rowPR, BARC Resin, PAG 등 반도체 제조용 약품
ValueCountFrequency (%)
등 24
 
3.0%
및 12
 
1.5%
자동차 10
 
1.3%
부품 7
 
0.9%
사료 7
 
0.9%
알루미늄 6
 
0.8%
플라스틱 6
 
0.8%
미곡 6
 
0.8%
자동차부품 6
 
0.8%
보조사료 6
 
0.8%
Other values (610) 709
88.7%
2024-01-10T04:46:12.908290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351
 
8.1%
, 277
 
6.4%
품 90
 
2.1%
제 83
 
1.9%
기 77
 
1.8%
용 72
 
1.7%
료 68
 
1.6%
스 61
 
1.4%
차 60
 
1.4%
동 59
 
1.4%
Other values (452) 3141
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3446
79.4%
Space Separator 351
 
8.1%
Other Punctuation 294
 
6.8%
Uppercase Letter 167
 
3.8%
Open Punctuation 27
 
0.6%
Close Punctuation 27
 
0.6%
Lowercase Letter 24
 
0.6%
Dash Punctuation 2
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 90
 
2.6%
제 83
 
2.4%
기 77
 
2.2%
용 72
 
2.1%
료 68
 
2.0%
스 61
 
1.8%
차 60
 
1.7%
동 59
 
1.7%
조 57
 
1.7%
트 55
 
1.6%
Other values (408) 2764
80.2%
Uppercase Letter
ValueCountFrequency (%)
P 25
15.0%
C 24
14.4%
T 15
9.0%
R 12
 
7.2%
A 11
 
6.6%
V 11
 
6.6%
L 10
 
6.0%
E 10
 
6.0%
M 7
 
4.2%
G 5
 
3.0%
Other values (12) 37
22.2%
Lowercase Letter
ValueCountFrequency (%)
c 4
16.7%
e 3
12.5%
s 3
12.5%
r 3
12.5%
i 2
8.3%
l 2
8.3%
m 1
 
4.2%
p 1
 
4.2%
v 1
 
4.2%
o 1
 
4.2%
Other values (3) 3
12.5%
Other Punctuation
ValueCountFrequency (%)
, 277
94.2%
/ 11
 
3.7%
. 3
 
1.0%
· 3
 
1.0%
Space Separator
ValueCountFrequency (%)
351
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3446
79.4%
Common 702
 
16.2%
Latin 191
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 90
 
2.6%
제 83
 
2.4%
기 77
 
2.2%
용 72
 
2.1%
료 68
 
2.0%
스 61
 
1.8%
차 60
 
1.7%
동 59
 
1.7%
조 57
 
1.7%
트 55
 
1.6%
Other values (408) 2764
80.2%
Latin
ValueCountFrequency (%)
P 25
13.1%
C 24
 
12.6%
T 15
 
7.9%
R 12
 
6.3%
A 11
 
5.8%
V 11
 
5.8%
L 10
 
5.2%
E 10
 
5.2%
M 7
 
3.7%
G 5
 
2.6%
Other values (25) 61
31.9%
Common
ValueCountFrequency (%)
351
50.0%
, 277
39.5%
( 27
 
3.8%
) 27
 
3.8%
/ 11
 
1.6%
. 3
 
0.4%
· 3
 
0.4%
- 2
 
0.3%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3446
79.4%
ASCII 890
 
20.5%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
351
39.4%
, 277
31.1%
( 27
 
3.0%
) 27
 
3.0%
P 25
 
2.8%
C 24
 
2.7%
T 15
 
1.7%
R 12
 
1.3%
/ 11
 
1.2%
A 11
 
1.2%
Other values (33) 110
 
12.4%
Hangul
ValueCountFrequency (%)
품 90
 
2.6%
제 83
 
2.4%
기 77
 
2.2%
용 72
 
2.1%
료 68
 
2.0%
스 61
 
1.8%
차 60
 
1.7%
동 59
 
1.7%
조 57
 
1.7%
트 55
 
1.6%
Other values (408) 2764
80.2%
None
ValueCountFrequency (%)
· 3
100.0%

종업원수
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.497788
Minimum0
Maximum407
Zeros6
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-01-10T04:46:13.023808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median12
Q330
95-th percentile97.8
Maximum407
Range407
Interquartile range (IQR)25

Descriptive statistics

Standard deviation42.558034
Coefficient of variation (CV)1.6060976
Kurtosis26.001795
Mean26.497788
Median Absolute Deviation (MAD)8
Skewness4.3392113
Sum11977
Variance1811.1862
MonotonicityNot monotonic
2024-01-10T04:46:13.132621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 35
 
7.7%
4 28
 
6.2%
10 27
 
6.0%
2 25
 
5.5%
6 23
 
5.1%
12 18
 
4.0%
16 17
 
3.8%
3 17
 
3.8%
20 15
 
3.3%
11 15
 
3.3%
Other values (85) 232
51.3%
ValueCountFrequency (%)
0 6
 
1.3%
1 8
 
1.8%
2 25
5.5%
3 17
3.8%
4 28
6.2%
5 35
7.7%
6 23
5.1%
7 11
 
2.4%
8 9
 
2.0%
9 11
 
2.4%
ValueCountFrequency (%)
407 1
0.2%
349 1
0.2%
259 1
0.2%
238 1
0.2%
212 1
0.2%
200 1
0.2%
180 1
0.2%
175 1
0.2%
173 1
0.2%
162 1
0.2%

전화번호
Text

MISSING 

Distinct364
Distinct (%)92.2%
Missing57
Missing (%)12.6%
Memory size3.7 KiB
2024-01-10T04:46:13.333653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.979747
Min length2

Characters and Unicode

Total characters4732
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

Unique340 ?
Unique (%)86.1%

Sample

1st row041-331-4949
2nd row031-479-7160
3rd row041-334-8003
4th row041-331-1583
5th row02-3660-7821
ValueCountFrequency (%)
041-337-7411 4
 
1.0%
041-337-0167 3
 
0.8%
032-760-2114 3
 
0.8%
041-332-6346 3
 
0.8%
041-337-3881 3
 
0.8%
041-337-1730 3
 
0.8%
070-4901-5152 2
 
0.5%
041-332-2622 2
 
0.5%
041-335-6108 2
 
0.5%
041-338-6900 2
 
0.5%
Other values (354) 368
93.2%
2024-01-10T04:46:13.635239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 876
18.5%
- 786
16.6%
0 676
14.3%
1 640
13.5%
4 554
11.7%
2 249
 
5.3%
7 229
 
4.8%
8 220
 
4.6%
5 200
 
4.2%
6 172
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3946
83.4%
Dash Punctuation 786
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 876
22.2%
0 676
17.1%
1 640
16.2%
4 554
14.0%
2 249
 
6.3%
7 229
 
5.8%
8 220
 
5.6%
5 200
 
5.1%
6 172
 
4.4%
9 130
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 786
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 876
18.5%
- 786
16.6%
0 676
14.3%
1 640
13.5%
4 554
11.7%
2 249
 
5.3%
7 229
 
4.8%
8 220
 
4.6%
5 200
 
4.2%
6 172
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 876
18.5%
- 786
16.6%
0 676
14.3%
1 640
13.5%
4 554
11.7%
2 249
 
5.3%
7 229
 
4.8%
8 220
 
4.6%
5 200
 
4.2%
6 172
 
3.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2022-08-19 00:00:00
Maximum2022-08-19 00:00:00
2024-01-10T04:46:13.725963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:46:13.790281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T04:46:10.998817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-10T04:46:11.093174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:46:11.177299image/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.
2024-01-10T04:46:11.245306image/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

업체명도로명주소생산품종업원수전화번호데이터기준일자
0(농)아이파머스(주)충청남도 예산군 응봉면 예당로 1430 외 1필지사과생즙, ABC주스, 사과말랭이6041-331-49492022-08-19
1(유)에치비충청남도 예산군 고덕면 예당산단4길 67소스류, 복합조미식품45031-479-71602022-08-19
2(주)NSC충청남도 예산군 예산읍 수철길 10 (충남테크노파크)조형물,간판4041-334-80032022-08-19
3(주)경안섬유충청남도 예산군 신암면 오산종경길 64테이프원단16041-331-15832022-08-19
4(주)경인양행충청남도 예산군 응봉면 산단1길 7PR, BARC Resin, PAG 등 반도체 제조용 약품1602-3660-78212022-08-19
5(주)경진테크충청남도 예산군 삽교읍 두루머리길 16-26 외 1필지TRACK LINK, DIFF GEAR38041-338-16002022-08-19
6(주)고려비엔피충청남도 예산군 신암면 추사로 235-9항생제, 영양제, 단미사료84041-331-02132022-08-19
7(주)고비충청남도 예산군 고덕면 예덕로 1033-55내진 상하수도관 등16041-338-88882022-08-19
8(주)관작진테크충청남도 예산군 예산읍 관작리 276-2번지도어 트림25<NA>2022-08-19
9(주)광명통신충청남도 예산군 오가면 예산산업단지로 87동축케이블, 전선케이블15041-333-23032022-08-19
업체명도로명주소생산품종업원수전화번호데이터기준일자
442향산농산영농조합법인충청남도 예산군 예산읍 수철길 122-4미곡1041-335-56902022-08-19
443헬스카우충청남도 예산군 삽교읍 가리 203-1번지유두침지제2<NA>2022-08-19
444현대상사충청남도 예산군 신암면 탄중리 152번지돈피,우피5041-333-27452022-08-19
445현대제철(주)충청남도 예산군 삽교읍 산단2길 158자동차 차체용 부품50032-760-21142022-08-19
446현대제철(주)예산1공장충청남도 예산군 삽교읍 산단1길 131자동차 차체용 부품349032-760-21142022-08-19
447현대제철(주)예산2공장충청남도 예산군 삽교읍 산단3길 107자동차 차체부품, 강관부품407032-760-21142022-08-19
448협성임업사충청남도 예산군 고덕면 예덕로 812 (총 3 필지) 외 2필지재생칩20070-7011-76542022-08-19
449협신건설기계충청남도 예산군 예산읍 벚꽃로 347건축기계 및 부품제조,재생,정비2<NA>2022-08-19
450홍미원충청남도 예산군 예산읍 관작리 232-19번지양배추즙,도라지즙,배즙2041-335-88072022-08-19
451황해물산충청남도 예산군 오가면 역탑원천길 57-6닭강정10<NA>2022-08-19