Overview

Dataset statistics

Number of variables6
Number of observations1665
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.4 KiB
Average record size in memory50.1 B

Variable types

Numeric2
Text3
DateTime1

Dataset

Description대전광역시 대덕구 내 제조업공장등록현황에 대한 데이터로 산업분류번호, 업체명, 소재지, 생산품 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15028094/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:00:44.658386
Analysis finished2023-12-12 06:00:46.445819
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1665
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean833
Minimum1
Maximum1665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2023-12-12T15:00:46.532518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile84.2
Q1417
median833
Q31249
95-th percentile1581.8
Maximum1665
Range1664
Interquartile range (IQR)832

Descriptive statistics

Standard deviation480.78842
Coefficient of variation (CV)0.57717697
Kurtosis-1.2
Mean833
Median Absolute Deviation (MAD)416
Skewness0
Sum1386945
Variance231157.5
MonotonicityStrictly increasing
2023-12-12T15:00:46.703301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1250 1
 
0.1%
1118 1
 
0.1%
1117 1
 
0.1%
1116 1
 
0.1%
1115 1
 
0.1%
1114 1
 
0.1%
1113 1
 
0.1%
1112 1
 
0.1%
1111 1
 
0.1%
Other values (1655) 1655
99.4%
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 (%)
1665 1
0.1%
1664 1
0.1%
1663 1
0.1%
1662 1
0.1%
1661 1
0.1%
1660 1
0.1%
1659 1
0.1%
1658 1
0.1%
1657 1
0.1%
1656 1
0.1%

산업분류번호
Real number (ℝ)

Distinct46
Distinct (%)2.8%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean30.338341
Minimum10
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2023-12-12T15:00:46.901221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q125
median28
Q329
95-th percentile71
Maximum95
Range85
Interquartile range (IQR)4

Descriptive statistics

Standard deviation15.169448
Coefficient of variation (CV)0.50000914
Kurtosis2.8580318
Mean30.338341
Median Absolute Deviation (MAD)3
Skewness1.8230874
Sum50483
Variance230.11216
MonotonicityNot monotonic
2023-12-12T15:00:47.051883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
29 347
20.8%
25 292
17.5%
28 145
 
8.7%
27 84
 
5.0%
20 84
 
5.0%
10 63
 
3.8%
26 61
 
3.7%
13 53
 
3.2%
30 52
 
3.1%
22 50
 
3.0%
Other values (36) 433
26.0%
ValueCountFrequency (%)
10 63
3.8%
11 5
 
0.3%
12 2
 
0.1%
13 53
3.2%
14 13
 
0.8%
15 4
 
0.2%
16 18
 
1.1%
17 19
 
1.1%
18 8
 
0.5%
19 5
 
0.3%
ValueCountFrequency (%)
95 5
 
0.3%
75 2
 
0.1%
74 1
 
0.1%
73 13
 
0.8%
72 34
2.0%
71 40
2.4%
70 19
1.1%
68 20
1.2%
63 4
 
0.2%
62 21
1.3%
Distinct1607
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size13.1 KiB
2023-12-12T15:00:47.299044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length6.8198198
Min length1

Characters and Unicode

Total characters11355
Distinct characters503
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

Unique1557 ?
Unique (%)93.5%

Sample

1st row(사)대한문화체육교육협회 장애인자립지원단
2nd row(유)백연
3rd row(유)씨테크
4th row(유)영창
5th row(유)오성알씨
ValueCountFrequency (%)
주식회사 86
 
4.7%
제2공장 10
 
0.5%
대전공장 6
 
0.3%
안전공업(주 4
 
0.2%
농민식품 4
 
0.2%
주)테크노블루 3
 
0.2%
대영금속공업(주 3
 
0.2%
고려금속앙카 3
 
0.2%
주)알루코 3
 
0.2%
펜타플렉스 3
 
0.2%
Other values (1636) 1705
93.2%
2023-12-12T15:00:47.722616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
898
 
7.9%
( 801
 
7.1%
) 801
 
7.1%
362
 
3.2%
342
 
3.0%
181
 
1.6%
181
 
1.6%
180
 
1.6%
178
 
1.6%
169
 
1.5%
Other values (493) 7262
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9303
81.9%
Open Punctuation 801
 
7.1%
Close Punctuation 801
 
7.1%
Uppercase Letter 190
 
1.7%
Space Separator 169
 
1.5%
Decimal Number 43
 
0.4%
Other Symbol 24
 
0.2%
Other Punctuation 10
 
0.1%
Lowercase Letter 10
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
898
 
9.7%
362
 
3.9%
342
 
3.7%
181
 
1.9%
181
 
1.9%
180
 
1.9%
178
 
1.9%
166
 
1.8%
164
 
1.8%
154
 
1.7%
Other values (452) 6497
69.8%
Uppercase Letter
ValueCountFrequency (%)
E 33
17.4%
N 23
12.1%
S 18
9.5%
G 16
 
8.4%
C 15
 
7.9%
M 11
 
5.8%
T 11
 
5.8%
H 9
 
4.7%
A 6
 
3.2%
L 6
 
3.2%
Other values (12) 42
22.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
i 2
20.0%
n 2
20.0%
c 1
10.0%
m 1
10.0%
r 1
10.0%
a 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 25
58.1%
1 8
 
18.6%
3 5
 
11.6%
5 3
 
7.0%
4 2
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 8
80.0%
& 2
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 801
100.0%
Close Punctuation
ValueCountFrequency (%)
) 801
100.0%
Space Separator
ValueCountFrequency (%)
169
100.0%
Other Symbol
ValueCountFrequency (%)
24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9327
82.1%
Common 1828
 
16.1%
Latin 200
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
898
 
9.6%
362
 
3.9%
342
 
3.7%
181
 
1.9%
181
 
1.9%
180
 
1.9%
178
 
1.9%
166
 
1.8%
164
 
1.8%
154
 
1.7%
Other values (453) 6521
69.9%
Latin
ValueCountFrequency (%)
E 33
16.5%
N 23
11.5%
S 18
 
9.0%
G 16
 
8.0%
C 15
 
7.5%
M 11
 
5.5%
T 11
 
5.5%
H 9
 
4.5%
A 6
 
3.0%
L 6
 
3.0%
Other values (19) 52
26.0%
Common
ValueCountFrequency (%)
( 801
43.8%
) 801
43.8%
169
 
9.2%
2 25
 
1.4%
1 8
 
0.4%
. 8
 
0.4%
3 5
 
0.3%
- 4
 
0.2%
5 3
 
0.2%
4 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9303
81.9%
ASCII 2028
 
17.9%
None 24
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
898
 
9.7%
362
 
3.9%
342
 
3.7%
181
 
1.9%
181
 
1.9%
180
 
1.9%
178
 
1.9%
166
 
1.8%
164
 
1.8%
154
 
1.7%
Other values (452) 6497
69.8%
ASCII
ValueCountFrequency (%)
( 801
39.5%
) 801
39.5%
169
 
8.3%
E 33
 
1.6%
2 25
 
1.2%
N 23
 
1.1%
S 18
 
0.9%
G 16
 
0.8%
C 15
 
0.7%
M 11
 
0.5%
Other values (30) 116
 
5.7%
None
ValueCountFrequency (%)
24
100.0%
Distinct1419
Distinct (%)85.3%
Missing1
Missing (%)0.1%
Memory size13.1 KiB
2023-12-12T15:00:48.041623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length53
Mean length33.737981
Min length18

Characters and Unicode

Total characters56140
Distinct characters318
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

Unique1256 ?
Unique (%)75.5%

Sample

1st row대전광역시 대덕구 대화로106번길 140, 에이동, 비동 1층(대화동)
2nd row대전광역시 대덕구 신일서로68번길 50 (신일동)
3rd row대전광역시 대덕구 신일서로68번길 50 (신일동, 한솔제지(주))
4th row대전광역시 대덕구 신일서로68번길 50 (신일동) 한솔제지(주)
5th row대전광역시 대덕구 상서당3길 16 (상서동, 유한회사오성자원)
ValueCountFrequency (%)
대전광역시 1664
 
16.1%
대덕구 1664
 
16.1%
대화동 368
 
3.6%
대화로106번길 303
 
2.9%
66 290
 
2.8%
펜타플렉스 289
 
2.8%
신일동 253
 
2.4%
146
 
1.4%
문평동 145
 
1.4%
오정동 139
 
1.3%
Other values (1619) 5091
49.2%
2023-12-12T15:00:48.538632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8689
 
15.5%
4990
 
8.9%
1 2617
 
4.7%
1928
 
3.4%
1801
 
3.2%
) 1794
 
3.2%
( 1794
 
3.2%
1792
 
3.2%
1673
 
3.0%
1668
 
3.0%
Other values (308) 27394
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31892
56.8%
Decimal Number 10484
 
18.7%
Space Separator 8689
 
15.5%
Close Punctuation 1794
 
3.2%
Open Punctuation 1794
 
3.2%
Other Punctuation 1148
 
2.0%
Dash Punctuation 270
 
0.5%
Uppercase Letter 69
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4990
15.6%
1928
 
6.0%
1801
 
5.6%
1792
 
5.6%
1673
 
5.2%
1668
 
5.2%
1668
 
5.2%
1664
 
5.2%
1440
 
4.5%
1345
 
4.2%
Other values (281) 11923
37.4%
Uppercase Letter
ValueCountFrequency (%)
B 41
59.4%
A 16
 
23.2%
M 2
 
2.9%
C 2
 
2.9%
D 2
 
2.9%
E 1
 
1.4%
H 1
 
1.4%
K 1
 
1.4%
T 1
 
1.4%
G 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 2617
25.0%
6 1387
13.2%
2 1199
11.4%
0 1171
11.2%
3 1025
 
9.8%
5 787
 
7.5%
4 739
 
7.0%
7 596
 
5.7%
8 532
 
5.1%
9 431
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 1147
99.9%
& 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8689
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1794
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1794
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31892
56.8%
Common 24179
43.1%
Latin 69
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4990
15.6%
1928
 
6.0%
1801
 
5.6%
1792
 
5.6%
1673
 
5.2%
1668
 
5.2%
1668
 
5.2%
1664
 
5.2%
1440
 
4.5%
1345
 
4.2%
Other values (281) 11923
37.4%
Common
ValueCountFrequency (%)
8689
35.9%
1 2617
 
10.8%
) 1794
 
7.4%
( 1794
 
7.4%
6 1387
 
5.7%
2 1199
 
5.0%
0 1171
 
4.8%
, 1147
 
4.7%
3 1025
 
4.2%
5 787
 
3.3%
Other values (6) 2569
 
10.6%
Latin
ValueCountFrequency (%)
B 41
59.4%
A 16
 
23.2%
M 2
 
2.9%
C 2
 
2.9%
D 2
 
2.9%
E 1
 
1.4%
H 1
 
1.4%
K 1
 
1.4%
T 1
 
1.4%
G 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31892
56.8%
ASCII 24248
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8689
35.8%
1 2617
 
10.8%
) 1794
 
7.4%
( 1794
 
7.4%
6 1387
 
5.7%
2 1199
 
4.9%
0 1171
 
4.8%
, 1147
 
4.7%
3 1025
 
4.2%
5 787
 
3.2%
Other values (17) 2638
 
10.9%
Hangul
ValueCountFrequency (%)
4990
15.6%
1928
 
6.0%
1801
 
5.6%
1792
 
5.6%
1673
 
5.2%
1668
 
5.2%
1668
 
5.2%
1664
 
5.2%
1440
 
4.5%
1345
 
4.2%
Other values (281) 11923
37.4%
Distinct1450
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size13.1 KiB
2023-12-12T15:00:48.838124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length9.596997
Min length1

Characters and Unicode

Total characters15979
Distinct characters611
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

Unique1347 ?
Unique (%)80.9%

Sample

1st row명함, 책자, 브로셔
2nd row백판지
3rd row캐리어테이프
4th row백판지
5th row가공원료
ValueCountFrequency (%)
161
 
4.7%
58
 
1.7%
49
 
1.4%
부품 36
 
1.1%
배전반 24
 
0.7%
소프트웨어 23
 
0.7%
산업용 19
 
0.6%
개발 18
 
0.5%
기계부품 18
 
0.5%
타올 17
 
0.5%
Other values (2041) 2981
87.6%
2023-12-12T15:00:49.364979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1796
 
11.2%
, 698
 
4.4%
672
 
4.2%
283
 
1.8%
281
 
1.8%
249
 
1.6%
237
 
1.5%
234
 
1.5%
225
 
1.4%
219
 
1.4%
Other values (601) 11085
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12534
78.4%
Space Separator 1796
 
11.2%
Other Punctuation 757
 
4.7%
Uppercase Letter 381
 
2.4%
Lowercase Letter 350
 
2.2%
Open Punctuation 68
 
0.4%
Close Punctuation 68
 
0.4%
Decimal Number 21
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
672
 
5.4%
283
 
2.3%
281
 
2.2%
249
 
2.0%
237
 
1.9%
234
 
1.9%
225
 
1.8%
219
 
1.7%
200
 
1.6%
191
 
1.5%
Other values (537) 9743
77.7%
Lowercase Letter
ValueCountFrequency (%)
e 42
12.0%
o 33
 
9.4%
t 31
 
8.9%
r 31
 
8.9%
l 27
 
7.7%
n 23
 
6.6%
c 21
 
6.0%
s 20
 
5.7%
i 20
 
5.7%
a 17
 
4.9%
Other values (15) 85
24.3%
Uppercase Letter
ValueCountFrequency (%)
D 48
12.6%
C 43
11.3%
L 37
 
9.7%
E 35
 
9.2%
P 28
 
7.3%
S 23
 
6.0%
O 20
 
5.2%
T 18
 
4.7%
R 18
 
4.7%
B 16
 
4.2%
Other values (13) 95
24.9%
Decimal Number
ValueCountFrequency (%)
3 9
42.9%
4 4
19.0%
0 3
 
14.3%
1 2
 
9.5%
6 1
 
4.8%
5 1
 
4.8%
2 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 698
92.2%
. 36
 
4.8%
/ 18
 
2.4%
& 3
 
0.4%
· 2
 
0.3%
Space Separator
ValueCountFrequency (%)
1796
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12534
78.4%
Common 2714
 
17.0%
Latin 731
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
672
 
5.4%
283
 
2.3%
281
 
2.2%
249
 
2.0%
237
 
1.9%
234
 
1.9%
225
 
1.8%
219
 
1.7%
200
 
1.6%
191
 
1.5%
Other values (537) 9743
77.7%
Latin
ValueCountFrequency (%)
D 48
 
6.6%
C 43
 
5.9%
e 42
 
5.7%
L 37
 
5.1%
E 35
 
4.8%
o 33
 
4.5%
t 31
 
4.2%
r 31
 
4.2%
P 28
 
3.8%
l 27
 
3.7%
Other values (38) 376
51.4%
Common
ValueCountFrequency (%)
1796
66.2%
, 698
 
25.7%
( 68
 
2.5%
) 68
 
2.5%
. 36
 
1.3%
/ 18
 
0.7%
3 9
 
0.3%
- 4
 
0.1%
4 4
 
0.1%
& 3
 
0.1%
Other values (6) 10
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12534
78.4%
ASCII 3443
 
21.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1796
52.2%
, 698
 
20.3%
( 68
 
2.0%
) 68
 
2.0%
D 48
 
1.4%
C 43
 
1.2%
e 42
 
1.2%
L 37
 
1.1%
. 36
 
1.0%
E 35
 
1.0%
Other values (53) 572
 
16.6%
Hangul
ValueCountFrequency (%)
672
 
5.4%
283
 
2.3%
281
 
2.2%
249
 
2.0%
237
 
1.9%
234
 
1.9%
225
 
1.8%
219
 
1.7%
200
 
1.6%
191
 
1.5%
Other values (537) 9743
77.7%
None
ValueCountFrequency (%)
· 2
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.1 KiB
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T15:00:49.529092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:00:49.673820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:00:45.808937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:00:45.585110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:00:45.936142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:00:45.711661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:00:49.776830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호산업분류번호
번호1.0000.130
산업분류번호0.1301.000
2023-12-12T15:00:49.873910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호산업분류번호
번호1.0000.147
산업분류번호0.1471.000

Missing values

2023-12-12T15:00:46.084797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:00:46.238675image/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.
2023-12-12T15:00:46.394061image/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

번호산업분류번호업체명소재지주생산품데이터기준일자
0118(사)대한문화체육교육협회 장애인자립지원단대전광역시 대덕구 대화로106번길 140, 에이동, 비동 1층(대화동)명함, 책자, 브로셔2023-08-01
1217(유)백연대전광역시 대덕구 신일서로68번길 50 (신일동)백판지2023-08-01
2317(유)씨테크대전광역시 대덕구 신일서로68번길 50 (신일동, 한솔제지(주))캐리어테이프2023-08-01
3417(유)영창대전광역시 대덕구 신일서로68번길 50 (신일동) 한솔제지(주)백판지2023-08-01
4538(유)오성알씨대전광역시 대덕구 상서당3길 16 (상서동, 유한회사오성자원)가공원료2023-08-01
5617(유)청아실업대전광역시 대덕구 신일서로68번길 50 (신일동)백판지 재단 및 포장2023-08-01
6710(유)행복한밥상대전광역시 대덕구 우암로 472 (비래동)도시락2023-08-01
7830(주)e-디젤대전광역시 대덕구 신탄진로 480 (상서동) 외 1필지인젝트, 고압펌프2023-08-01
8920(주)가원폴리텍대전광역시 대덕구 대덕대로1417번길 89 (문평동)건축용 접착제2023-08-01
91029(주)강동테크대전광역시 대덕구 대화로32번길 145 (대화동, (주)서진이엔지)금형,사출생산2023-08-01
번호산업분류번호업체명소재지주생산품데이터기준일자
1655165627화인테크대전광역시 대덕구 대화로 127, D (대화동, 청성과학)전열 및 전기재료 외2023-08-01
1656165729화천EMS대전광역시 대덕구 대덕대로1417번길 50 (문평동, (주)와이엠건설)특수밸브, 펌프2023-08-01
1657165829황해정공대전광역시 대덕구 대화로50번길 57-33 (대화동)산업기계제작, 시험기제작, 군자동화표적기 및 레일제작2023-08-01
1658165928회림산업대전광역시 대덕구 대화로106번길 66, 1층 105호(대화동, 펜타플렉스) 1층 105호피부관리기2023-08-01
1659166022효성정공대전광역시 대덕구 신일동로 87 (신일동, 효성정공1공장)식품용기2023-08-01
1660166113효성첨단소재(주) 대전공장대전광역시 대덕구 문평서로18번길 90 (문평동, (주)효성)카페트 및 원사2023-08-01
1661166222효성화학(주) 대전공장대전광역시 대덕구 신일서로17번길 85 (신일동)플라스틱 필름2023-08-01
1662166329훈테크(주)대전광역시 대덕구 대화로106번길 66, B1층 115호(대화동, 펜타플렉스) B1층 115호 외 2필지글러브박스, Ejector Tank, 시약장, Wet Station2023-08-01
1663166458휴먼파트너대전광역시 대덕구 대화로106번길 66, 7층 705호(대화동, 펜타플렉스) 7층 705호 외 1필지복사기 시스템 소프트웨어 , 일반 소프트웨어2023-08-01
1664166525희야공조닥트대전광역시 대덕구 대화로132번길 70, 가동 (대화동)닥트2023-08-01