Overview

Dataset statistics

Number of variables10
Number of observations1593
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory124.6 KiB
Average record size in memory80.1 B

Variable types

Text8
Categorical2

Dataset

Description군포시 공장등록 현황으로 회사명, 대표자명, 전화번호, 공장대표주소, 생산품, 데이터기준일자 항목을 제공합니다.
Author경기도 군포시
URLhttps://www.data.go.kr/data/15016176/fileData.do

Alerts

데이터기준일 has constant value ""Constant

Reproduction

Analysis started2024-04-06 08:03:22.304181
Analysis finished2024-04-06 08:03:24.943228
Duration2.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

Distinct1568
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-04-06T17:03:25.286569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.6258632
Min length2

Characters and Unicode

Total characters12148
Distinct characters506
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

Unique1545 ?
Unique (%)97.0%

Sample

1st row(주)그린일렉콤
2nd row(주)나래바이오테크
3rd row(주)서도금속
4th row(주)썬나인 코리아
5th row(주)에이엠피테크놀로지
ValueCountFrequency (%)
주식회사 323
 
16.2%
주 7
 
0.4%
주)판다그램 3
 
0.2%
농업회사법인 3
 
0.2%
코리아 3
 
0.2%
인테크 3
 
0.2%
유한회사 3
 
0.2%
eng 3
 
0.2%
tech 2
 
0.1%
korea 2
 
0.1%
Other values (1614) 1641
82.3%
2024-04-06T17:03:25.972223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1149
 
9.5%
) 843
 
6.9%
( 842
 
6.9%
이 461
 
3.8%
405
 
3.3%
스 382
 
3.1%
사 376
 
3.1%
회 347
 
2.9%
식 347
 
2.9%
에 238
 
2.0%
Other values (496) 6758
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9724
80.0%
Close Punctuation 843
 
6.9%
Open Punctuation 842
 
6.9%
Space Separator 405
 
3.3%
Uppercase Letter 176
 
1.4%
Decimal Number 103
 
0.8%
Other Punctuation 28
 
0.2%
Lowercase Letter 22
 
0.2%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1149
 
11.8%
이 461
 
4.7%
스 382
 
3.9%
사 376
 
3.9%
회 347
 
3.6%
식 347
 
3.6%
에 238
 
2.4%
크 189
 
1.9%
테 172
 
1.8%
아 156
 
1.6%
Other values (443) 5907
60.7%
Uppercase Letter
ValueCountFrequency (%)
E 18
 
10.2%
T 17
 
9.7%
S 14
 
8.0%
C 13
 
7.4%
H 12
 
6.8%
G 12
 
6.8%
N 11
 
6.2%
M 11
 
6.2%
O 8
 
4.5%
A 8
 
4.5%
Other values (12) 52
29.5%
Lowercase Letter
ValueCountFrequency (%)
o 5
22.7%
e 3
13.6%
r 3
13.6%
l 2
 
9.1%
t 1
 
4.5%
d 1
 
4.5%
m 1
 
4.5%
p 1
 
4.5%
c 1
 
4.5%
a 1
 
4.5%
Other values (3) 3
13.6%
Decimal Number
ValueCountFrequency (%)
1 29
28.2%
2 18
17.5%
0 13
12.6%
3 8
 
7.8%
5 8
 
7.8%
7 7
 
6.8%
9 7
 
6.8%
6 6
 
5.8%
4 5
 
4.9%
8 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 17
60.7%
, 8
28.6%
· 2
 
7.1%
/ 1
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 843
100.0%
Open Punctuation
ValueCountFrequency (%)
( 842
100.0%
Space Separator
ValueCountFrequency (%)
405
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9724
80.0%
Common 2226
 
18.3%
Latin 198
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1149
 
11.8%
이 461
 
4.7%
스 382
 
3.9%
사 376
 
3.9%
회 347
 
3.6%
식 347
 
3.6%
에 238
 
2.4%
크 189
 
1.9%
테 172
 
1.8%
아 156
 
1.6%
Other values (443) 5907
60.7%
Latin
ValueCountFrequency (%)
E 18
 
9.1%
T 17
 
8.6%
S 14
 
7.1%
C 13
 
6.6%
H 12
 
6.1%
G 12
 
6.1%
N 11
 
5.6%
M 11
 
5.6%
O 8
 
4.0%
A 8
 
4.0%
Other values (25) 74
37.4%
Common
ValueCountFrequency (%)
) 843
37.9%
( 842
37.8%
405
18.2%
1 29
 
1.3%
2 18
 
0.8%
. 17
 
0.8%
0 13
 
0.6%
3 8
 
0.4%
5 8
 
0.4%
, 8
 
0.4%
Other values (8) 35
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9724
80.0%
ASCII 2422
 
19.9%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1149
 
11.8%
이 461
 
4.7%
스 382
 
3.9%
사 376
 
3.9%
회 347
 
3.6%
식 347
 
3.6%
에 238
 
2.4%
크 189
 
1.9%
테 172
 
1.8%
아 156
 
1.6%
Other values (443) 5907
60.7%
ASCII
ValueCountFrequency (%)
) 843
34.8%
( 842
34.8%
405
16.7%
1 29
 
1.2%
E 18
 
0.7%
2 18
 
0.7%
. 17
 
0.7%
T 17
 
0.7%
S 14
 
0.6%
0 13
 
0.5%
Other values (42) 206
 
8.5%
None
ValueCountFrequency (%)
· 2
100.0%

대표자명
Text

Distinct1491
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-04-06T17:03:26.715101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.1123666
Min length2

Characters and Unicode

Total characters4958
Distinct characters241
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1396 ?
Unique (%)87.6%

Sample

1st row김광윤
2nd row오정균
3rd row이재순
4th row임성찬
5th row정희섭
ValueCountFrequency (%)
안병철 3
 
0.2%
김재형 3
 
0.2%
김진옥 3
 
0.2%
김동균 3
 
0.2%
김동수 3
 
0.2%
양선모 3
 
0.2%
김경수 3
 
0.2%
김영호 2
 
0.1%
강영준 2
 
0.1%
지애경 2
 
0.1%
Other values (1487) 1572
98.3%
2024-04-06T17:03:27.530330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 335
 
6.8%
이 250
 
5.0%
정 165
 
3.3%
영 124
 
2.5%
성 119
 
2.4%
박 109
 
2.2%
수 93
 
1.9%
진 86
 
1.7%
재 80
 
1.6%
철 78
 
1.6%
Other values (231) 3519
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4880
98.4%
Math Symbol 39
 
0.8%
Uppercase Letter 31
 
0.6%
Space Separator 6
 
0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 335
 
6.9%
이 250
 
5.1%
정 165
 
3.4%
영 124
 
2.5%
성 119
 
2.4%
박 109
 
2.2%
수 93
 
1.9%
진 86
 
1.8%
재 80
 
1.6%
철 78
 
1.6%
Other values (213) 3441
70.5%
Uppercase Letter
ValueCountFrequency (%)
O 5
16.1%
I 4
12.9%
K 4
12.9%
M 2
 
6.5%
S 2
 
6.5%
H 2
 
6.5%
N 2
 
6.5%
U 2
 
6.5%
E 2
 
6.5%
X 1
 
3.2%
Other values (5) 5
16.1%
Math Symbol
ValueCountFrequency (%)
+ 39
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4880
98.4%
Common 47
 
0.9%
Latin 31
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 335
 
6.9%
이 250
 
5.1%
정 165
 
3.4%
영 124
 
2.5%
성 119
 
2.4%
박 109
 
2.2%
수 93
 
1.9%
진 86
 
1.8%
재 80
 
1.6%
철 78
 
1.6%
Other values (213) 3441
70.5%
Latin
ValueCountFrequency (%)
O 5
16.1%
I 4
12.9%
K 4
12.9%
M 2
 
6.5%
S 2
 
6.5%
H 2
 
6.5%
N 2
 
6.5%
U 2
 
6.5%
E 2
 
6.5%
X 1
 
3.2%
Other values (5) 5
16.1%
Common
ValueCountFrequency (%)
+ 39
83.0%
6
 
12.8%
1 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4880
98.4%
ASCII 78
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 335
 
6.9%
이 250
 
5.1%
정 165
 
3.4%
영 124
 
2.5%
성 119
 
2.4%
박 109
 
2.2%
수 93
 
1.9%
진 86
 
1.8%
재 80
 
1.6%
철 78
 
1.6%
Other values (213) 3441
70.5%
ASCII
ValueCountFrequency (%)
+ 39
50.0%
6
 
7.7%
O 5
 
6.4%
I 4
 
5.1%
K 4
 
5.1%
M 2
 
2.6%
S 2
 
2.6%
H 2
 
2.6%
1 2
 
2.6%
N 2
 
2.6%
Other values (8) 10
 
12.8%

업체유형
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
법인
1141 
개인
452 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
법인 1141
71.6%
개인 452
 
28.4%

Length

2024-04-06T17:03:27.815365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:03:28.030390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법인 1141
71.6%
개인 452
 
28.4%

업종명
Text

Distinct528
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-04-06T17:03:28.470164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length16.644068
Min length3

Characters and Unicode

Total characters26514
Distinct characters297
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique298 ?
Unique (%)18.7%

Sample

1st row그 외 기타 전자부품 제조업 외 1 종
2nd row그 외 기타 분류 안된 화학제품 제조업 외 1 종
3rd row금속선 가공제품 제조업
4th row비디오 및 기타 영상기기 제조업
5th row그 외 기타 전자부품 제조업 외 1 종
ValueCountFrequency (%)
제조업 1492
17.6%
외 896
 
10.6%
종 640
 
7.6%
기타 554
 
6.5%
및 545
 
6.4%
1 348
 
4.1%
그 256
 
3.0%
통신장비 140
 
1.7%
전기 127
 
1.5%
주형 115
 
1.4%
Other values (462) 3362
39.7%
2024-04-06T17:03:29.239159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6884
26.0%
제 1824
 
6.9%
업 1653
 
6.2%
조 1630
 
6.1%
기 1386
 
5.2%
외 911
 
3.4%
종 649
 
2.4%
타 554
 
2.1%
및 545
 
2.1%
장 535
 
2.0%
Other values (287) 9943
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18797
70.9%
Space Separator 6884
 
26.0%
Decimal Number 669
 
2.5%
Math Symbol 142
 
0.5%
Close Punctuation 9
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1824
 
9.7%
업 1653
 
8.8%
조 1630
 
8.7%
기 1386
 
7.4%
외 911
 
4.8%
종 649
 
3.5%
타 554
 
2.9%
및 545
 
2.9%
장 535
 
2.8%
전 444
 
2.4%
Other values (272) 8666
46.1%
Decimal Number
ValueCountFrequency (%)
1 375
56.1%
2 111
 
16.6%
3 69
 
10.3%
4 29
 
4.3%
6 21
 
3.1%
5 19
 
2.8%
8 12
 
1.8%
7 12
 
1.8%
9 11
 
1.6%
0 10
 
1.5%
Space Separator
ValueCountFrequency (%)
6884
100.0%
Math Symbol
ValueCountFrequency (%)
+ 142
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18797
70.9%
Common 7717
29.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1824
 
9.7%
업 1653
 
8.8%
조 1630
 
8.7%
기 1386
 
7.4%
외 911
 
4.8%
종 649
 
3.5%
타 554
 
2.9%
및 545
 
2.9%
장 535
 
2.8%
전 444
 
2.4%
Other values (272) 8666
46.1%
Common
ValueCountFrequency (%)
6884
89.2%
1 375
 
4.9%
+ 142
 
1.8%
2 111
 
1.4%
3 69
 
0.9%
4 29
 
0.4%
6 21
 
0.3%
5 19
 
0.2%
8 12
 
0.2%
7 12
 
0.2%
Other values (5) 43
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18790
70.9%
ASCII 7717
29.1%
Compat Jamo 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6884
89.2%
1 375
 
4.9%
+ 142
 
1.8%
2 111
 
1.4%
3 69
 
0.9%
4 29
 
0.4%
6 21
 
0.3%
5 19
 
0.2%
8 12
 
0.2%
7 12
 
0.2%
Other values (5) 43
 
0.6%
Hangul
ValueCountFrequency (%)
제 1824
 
9.7%
업 1653
 
8.8%
조 1630
 
8.7%
기 1386
 
7.4%
외 911
 
4.8%
종 649
 
3.5%
타 554
 
2.9%
및 545
 
2.9%
장 535
 
2.8%
전 444
 
2.4%
Other values (271) 8659
46.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%

생산품
Text

Distinct1470
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-04-06T17:03:29.784926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length46
Mean length12.623352
Min length1

Characters and Unicode

Total characters20109
Distinct characters649
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1411 ?
Unique (%)88.6%

Sample

1st row전원공급장치
2nd row미생물검출 키트
3rd rowW/ROPE+체인가공+관련부속품
4th row영상감시장치
5th row윈도우기판
ValueCountFrequency (%)
및 133
 
4.3%
금형 49
 
1.6%
외 48
 
1.6%
등 43
 
1.4%
부품 38
 
1.2%
플라스틱 20
 
0.7%
전자부품 18
 
0.6%
pcb 18
 
0.6%
산업용 18
 
0.6%
반도체 17
 
0.6%
Other values (2055) 2673
86.9%
2024-04-06T17:03:30.850133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1512
 
7.5%
+ 1144
 
5.7%
기 939
 
4.7%
품 436
 
2.2%
장 390
 
1.9%
전 381
 
1.9%
스 333
 
1.7%
제 332
 
1.7%
용 314
 
1.6%
자 311
 
1.5%
Other values (639) 14017
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14758
73.4%
Uppercase Letter 1518
 
7.5%
Space Separator 1512
 
7.5%
Math Symbol 1145
 
5.7%
Lowercase Letter 661
 
3.3%
Close Punctuation 197
 
1.0%
Open Punctuation 196
 
1.0%
Other Punctuation 66
 
0.3%
Decimal Number 39
 
0.2%
Dash Punctuation 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 939
 
6.4%
품 436
 
3.0%
장 390
 
2.6%
전 381
 
2.6%
스 333
 
2.3%
제 332
 
2.2%
용 314
 
2.1%
자 311
 
2.1%
부 275
 
1.9%
조 226
 
1.5%
Other values (567) 10821
73.3%
Uppercase Letter
ValueCountFrequency (%)
S 150
 
9.9%
C 145
 
9.6%
D 137
 
9.0%
E 136
 
9.0%
L 108
 
7.1%
P 106
 
7.0%
T 99
 
6.5%
R 86
 
5.7%
M 80
 
5.3%
A 80
 
5.3%
Other values (15) 391
25.8%
Lowercase Letter
ValueCountFrequency (%)
e 85
12.9%
o 62
 
9.4%
r 56
 
8.5%
s 48
 
7.3%
i 46
 
7.0%
t 44
 
6.7%
l 43
 
6.5%
a 42
 
6.4%
n 36
 
5.4%
c 33
 
5.0%
Other values (15) 166
25.1%
Decimal Number
ValueCountFrequency (%)
1 8
20.5%
3 8
20.5%
2 7
17.9%
0 5
12.8%
4 5
12.8%
8 3
 
7.7%
5 2
 
5.1%
9 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 29
43.9%
' 16
24.2%
. 9
 
13.6%
& 5
 
7.6%
" 3
 
4.5%
· 3
 
4.5%
: 1
 
1.5%
Math Symbol
ValueCountFrequency (%)
+ 1144
99.9%
~ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1512
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14757
73.4%
Common 3172
 
15.8%
Latin 2179
 
10.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 939
 
6.4%
품 436
 
3.0%
장 390
 
2.6%
전 381
 
2.6%
스 333
 
2.3%
제 332
 
2.2%
용 314
 
2.1%
자 311
 
2.1%
부 275
 
1.9%
조 226
 
1.5%
Other values (566) 10820
73.3%
Latin
ValueCountFrequency (%)
S 150
 
6.9%
C 145
 
6.7%
D 137
 
6.3%
E 136
 
6.2%
L 108
 
5.0%
P 106
 
4.9%
T 99
 
4.5%
R 86
 
3.9%
e 85
 
3.9%
M 80
 
3.7%
Other values (40) 1047
48.0%
Common
ValueCountFrequency (%)
1512
47.7%
+ 1144
36.1%
) 197
 
6.2%
( 196
 
6.2%
/ 29
 
0.9%
- 16
 
0.5%
' 16
 
0.5%
. 9
 
0.3%
1 8
 
0.3%
3 8
 
0.3%
Other values (12) 37
 
1.2%
Han
ValueCountFrequency (%)
外 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14757
73.4%
ASCII 5348
 
26.6%
None 3
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1512
28.3%
+ 1144
21.4%
) 197
 
3.7%
( 196
 
3.7%
S 150
 
2.8%
C 145
 
2.7%
D 137
 
2.6%
E 136
 
2.5%
L 108
 
2.0%
P 106
 
2.0%
Other values (61) 1517
28.4%
Hangul
ValueCountFrequency (%)
기 939
 
6.4%
품 436
 
3.0%
장 390
 
2.6%
전 381
 
2.6%
스 333
 
2.3%
제 332
 
2.2%
용 314
 
2.1%
자 311
 
2.1%
부 275
 
1.9%
조 226
 
1.5%
Other values (566) 10820
73.3%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
外 1
100.0%

전화번호
Text

Distinct1459
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-04-06T17:03:31.292165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.517263
Min length1

Characters and Unicode

Total characters18347
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1407 ?
Unique (%)88.3%

Sample

1st row031-455-1763
2nd row031-451-7793
3rd row031-456-4985
4th row
5th row031-454-6135
ValueCountFrequency (%)
02-3465-2140 3
 
0.2%
031-429-6902 3
 
0.2%
031-382-6600 3
 
0.2%
031-459-1006 2
 
0.1%
031-477-9489 2
 
0.1%
070-4187-2061 2
 
0.1%
031-495-0674 2
 
0.1%
031-470-2766 2
 
0.1%
031-452-0236 2
 
0.1%
031-451-0522 2
 
0.1%
Other values (1448) 1489
98.5%
2024-04-06T17:03:32.002895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3018
16.4%
0 2662
14.5%
1 2261
12.3%
3 2172
11.8%
4 1855
10.1%
5 1356
7.4%
7 1200
 
6.5%
2 1160
 
6.3%
6 911
 
5.0%
8 894
 
4.9%
Other values (5) 858
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15245
83.1%
Dash Punctuation 3018
 
16.4%
Space Separator 81
 
0.4%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2662
17.5%
1 2261
14.8%
3 2172
14.2%
4 1855
12.2%
5 1356
8.9%
7 1200
7.9%
2 1160
7.6%
6 911
 
6.0%
8 894
 
5.9%
9 774
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
R 1
33.3%
S 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 3018
100.0%
Space Separator
ValueCountFrequency (%)
81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18344
> 99.9%
Latin 3
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 3018
16.5%
0 2662
14.5%
1 2261
12.3%
3 2172
11.8%
4 1855
10.1%
5 1356
7.4%
7 1200
 
6.5%
2 1160
 
6.3%
6 911
 
5.0%
8 894
 
4.9%
Other values (2) 855
 
4.7%
Latin
ValueCountFrequency (%)
A 1
33.3%
R 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18347
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3018
16.4%
0 2662
14.5%
1 2261
12.3%
3 2172
11.8%
4 1855
10.1%
5 1356
7.4%
7 1200
 
6.5%
2 1160
 
6.3%
6 911
 
5.0%
8 894
 
4.9%
Other values (5) 858
 
4.7%

팩스번호
Text

Distinct1431
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-04-06T17:03:32.537925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.443189
Min length1

Characters and Unicode

Total characters18229
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

Unique1364 ?
Unique (%)85.6%

Sample

1st row031-455-1765
2nd row031-451-1096
3rd row031-477-5512
4th row031-427-9806
5th row031-455-4741
ValueCountFrequency (%)
031-459-0664 3
 
0.2%
031-478-3375 3
 
0.2%
031-451-2609 2
 
0.1%
031-456-6061 2
 
0.1%
070-8233-5831 2
 
0.1%
031-477-8061 2
 
0.1%
031-427-7129 2
 
0.1%
031-427-8469 2
 
0.1%
031-451-3442 2
 
0.1%
031-457-5228 2
 
0.1%
Other values (1420) 1476
98.5%
2024-04-06T17:03:33.283426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2996
16.4%
0 2477
13.6%
3 2180
12.0%
1 2114
11.6%
4 1899
10.4%
5 1378
7.6%
7 1198
 
6.6%
2 1175
 
6.4%
6 938
 
5.1%
8 892
 
4.9%
Other values (2) 982
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15138
83.0%
Dash Punctuation 2996
 
16.4%
Space Separator 95
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2477
16.4%
3 2180
14.4%
1 2114
14.0%
4 1899
12.5%
5 1378
9.1%
7 1198
7.9%
2 1175
7.8%
6 938
 
6.2%
8 892
 
5.9%
9 887
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 2996
100.0%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18229
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2996
16.4%
0 2477
13.6%
3 2180
12.0%
1 2114
11.6%
4 1899
10.4%
5 1378
7.6%
7 1198
 
6.6%
2 1175
 
6.4%
6 938
 
5.1%
8 892
 
4.9%
Other values (2) 982
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18229
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2996
16.4%
0 2477
13.6%
3 2180
12.0%
1 2114
11.6%
4 1899
10.4%
5 1378
7.6%
7 1198
 
6.6%
2 1175
 
6.4%
6 938
 
5.1%
8 892
 
4.9%
Other values (2) 982
 
5.4%

공장지번주소
Text

Distinct1492
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-04-06T17:03:33.972155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length26.241055
Min length14

Characters and Unicode

Total characters41802
Distinct characters228
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

Unique1426 ?
Unique (%)89.5%

Sample

1st row경기도 군포시 당정동 522번지 군포SK벤티움 104동 11층 1107호
2nd row경기도 군포시 당정동 980-1번지 유영빌딩 401호
3rd row경기도 군포시 당정동 181-41번지
4th row경기도 군포시 당정동 1045 군포IT밸리 B동 9층 B-901호
5th row경기도 군포시 당정동 500-2번지
ValueCountFrequency (%)
경기도 1592
17.9%
군포시 1592
17.9%
당정동 1061
 
11.9%
금정동 260
 
2.9%
1층 106
 
1.2%
2층 102
 
1.1%
부곡동 99
 
1.1%
3층 93
 
1.0%
산본동 89
 
1.0%
군포it밸리 84
 
0.9%
Other values (1457) 3825
43.0%
2024-04-06T17:03:34.975677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7326
 
17.5%
1 2400
 
5.7%
동 1884
 
4.5%
군 1782
 
4.3%
포 1782
 
4.3%
시 1630
 
3.9%
도 1603
 
3.8%
기 1593
 
3.8%
경 1592
 
3.8%
2 1360
 
3.3%
Other values (218) 18850
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22073
52.8%
Decimal Number 10015
24.0%
Space Separator 7326
 
17.5%
Dash Punctuation 1278
 
3.1%
Uppercase Letter 733
 
1.8%
Other Punctuation 219
 
0.5%
Open Punctuation 60
 
0.1%
Close Punctuation 60
 
0.1%
Math Symbol 27
 
0.1%
Lowercase Letter 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1884
 
8.5%
군 1782
 
8.1%
포 1782
 
8.1%
시 1630
 
7.4%
도 1603
 
7.3%
기 1593
 
7.2%
경 1592
 
7.2%
정 1331
 
6.0%
지 1200
 
5.4%
당 1140
 
5.2%
Other values (172) 6536
29.6%
Uppercase Letter
ValueCountFrequency (%)
T 154
21.0%
I 144
19.6%
B 116
15.8%
K 106
14.5%
S 106
14.5%
A 62
8.5%
L 17
 
2.3%
M 5
 
0.7%
C 5
 
0.7%
P 4
 
0.5%
Other values (8) 14
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 2400
24.0%
2 1360
13.6%
0 1252
12.5%
3 1172
11.7%
4 1017
10.2%
5 797
 
8.0%
6 647
 
6.5%
8 545
 
5.4%
9 414
 
4.1%
7 411
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
n 3
27.3%
h 2
18.2%
o 1
 
9.1%
c 1
 
9.1%
e 1
 
9.1%
t 1
 
9.1%
a 1
 
9.1%
i 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 206
94.1%
& 4
 
1.8%
. 3
 
1.4%
/ 3
 
1.4%
· 3
 
1.4%
Space Separator
ValueCountFrequency (%)
7326
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1278
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22073
52.8%
Common 18985
45.4%
Latin 744
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1884
 
8.5%
군 1782
 
8.1%
포 1782
 
8.1%
시 1630
 
7.4%
도 1603
 
7.3%
기 1593
 
7.2%
경 1592
 
7.2%
정 1331
 
6.0%
지 1200
 
5.4%
당 1140
 
5.2%
Other values (172) 6536
29.6%
Latin
ValueCountFrequency (%)
T 154
20.7%
I 144
19.4%
B 116
15.6%
K 106
14.2%
S 106
14.2%
A 62
8.3%
L 17
 
2.3%
M 5
 
0.7%
C 5
 
0.7%
P 4
 
0.5%
Other values (16) 25
 
3.4%
Common
ValueCountFrequency (%)
7326
38.6%
1 2400
 
12.6%
2 1360
 
7.2%
- 1278
 
6.7%
0 1252
 
6.6%
3 1172
 
6.2%
4 1017
 
5.4%
5 797
 
4.2%
6 647
 
3.4%
8 545
 
2.9%
Other values (10) 1191
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22073
52.8%
ASCII 19726
47.2%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7326
37.1%
1 2400
 
12.2%
2 1360
 
6.9%
- 1278
 
6.5%
0 1252
 
6.3%
3 1172
 
5.9%
4 1017
 
5.2%
5 797
 
4.0%
6 647
 
3.3%
8 545
 
2.8%
Other values (35) 1932
 
9.8%
Hangul
ValueCountFrequency (%)
동 1884
 
8.5%
군 1782
 
8.1%
포 1782
 
8.1%
시 1630
 
7.4%
도 1603
 
7.3%
기 1593
 
7.2%
경 1592
 
7.2%
정 1331
 
6.0%
지 1200
 
5.4%
당 1140
 
5.2%
Other values (172) 6536
29.6%
None
ValueCountFrequency (%)
· 3
100.0%

공장도로명주소
Text

Distinct1534
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-04-06T17:03:35.485260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length61
Mean length34.126177
Min length16

Characters and Unicode

Total characters54363
Distinct characters275
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

Unique1488 ?
Unique (%)93.4%

Sample

1st row경기도 군포시 고산로 166, 104동 11층 1107호 (당정동, SK 벤티움)
2nd row경기도 군포시 고산로151번길 17, 401호 (당정동, 유영빌딩)
3rd row경기도 군포시 당정로76번길 17 (당정동)
4th row경기도 군포시 고산로148번길 17, B동 9층 B-901호(당정동, 군포IT밸리)
5th row경기도 군포시 봉성로 67 (당정동)
ValueCountFrequency (%)
경기도 1593
 
14.8%
군포시 1593
 
14.8%
당정동 858
 
8.0%
금정동 221
 
2.1%
공단로 147
 
1.4%
엘에스로 126
 
1.2%
17 126
 
1.2%
고산로148번길 119
 
1.1%
공단로140번길 116
 
1.1%
1층 115
 
1.1%
Other values (1353) 5725
53.3%
2024-04-06T17:03:36.149708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9146
 
16.8%
1 2612
 
4.8%
동 1968
 
3.6%
포 1903
 
3.5%
군 1902
 
3.5%
, 1781
 
3.3%
( 1687
 
3.1%
) 1687
 
3.1%
경 1651
 
3.0%
시 1631
 
3.0%
Other values (265) 28395
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28259
52.0%
Decimal Number 10618
 
19.5%
Space Separator 9146
 
16.8%
Other Punctuation 1794
 
3.3%
Open Punctuation 1687
 
3.1%
Close Punctuation 1687
 
3.1%
Uppercase Letter 791
 
1.5%
Dash Punctuation 337
 
0.6%
Math Symbol 32
 
0.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1968
 
7.0%
포 1903
 
6.7%
군 1902
 
6.7%
경 1651
 
5.8%
시 1631
 
5.8%
기 1610
 
5.7%
도 1605
 
5.7%
로 1570
 
5.6%
정 1555
 
5.5%
당 1359
 
4.8%
Other values (218) 11505
40.7%
Uppercase Letter
ValueCountFrequency (%)
T 166
21.0%
I 155
19.6%
B 129
16.3%
K 107
13.5%
S 106
13.4%
A 77
9.7%
L 17
 
2.1%
C 6
 
0.8%
M 5
 
0.6%
D 5
 
0.6%
Other values (8) 18
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 2612
24.6%
0 1405
13.2%
2 1344
12.7%
4 1068
10.1%
6 864
 
8.1%
3 805
 
7.6%
5 732
 
6.9%
7 732
 
6.9%
8 711
 
6.7%
9 345
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
n 3
25.0%
h 2
16.7%
b 1
 
8.3%
e 1
 
8.3%
o 1
 
8.3%
t 1
 
8.3%
c 1
 
8.3%
i 1
 
8.3%
a 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 1781
99.3%
& 4
 
0.2%
. 3
 
0.2%
/ 3
 
0.2%
· 3
 
0.2%
Space Separator
ValueCountFrequency (%)
9146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1687
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1687
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 337
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28259
52.0%
Common 25301
46.5%
Latin 803
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1968
 
7.0%
포 1903
 
6.7%
군 1902
 
6.7%
경 1651
 
5.8%
시 1631
 
5.8%
기 1610
 
5.7%
도 1605
 
5.7%
로 1570
 
5.6%
정 1555
 
5.5%
당 1359
 
4.8%
Other values (218) 11505
40.7%
Latin
ValueCountFrequency (%)
T 166
20.7%
I 155
19.3%
B 129
16.1%
K 107
13.3%
S 106
13.2%
A 77
9.6%
L 17
 
2.1%
C 6
 
0.7%
M 5
 
0.6%
D 5
 
0.6%
Other values (17) 30
 
3.7%
Common
ValueCountFrequency (%)
9146
36.1%
1 2612
 
10.3%
, 1781
 
7.0%
( 1687
 
6.7%
) 1687
 
6.7%
0 1405
 
5.6%
2 1344
 
5.3%
4 1068
 
4.2%
6 864
 
3.4%
3 805
 
3.2%
Other values (10) 2902
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28259
52.0%
ASCII 26101
48.0%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9146
35.0%
1 2612
 
10.0%
, 1781
 
6.8%
( 1687
 
6.5%
) 1687
 
6.5%
0 1405
 
5.4%
2 1344
 
5.1%
4 1068
 
4.1%
6 864
 
3.3%
3 805
 
3.1%
Other values (36) 3702
14.2%
Hangul
ValueCountFrequency (%)
동 1968
 
7.0%
포 1903
 
6.7%
군 1902
 
6.7%
경 1651
 
5.8%
시 1631
 
5.8%
기 1610
 
5.7%
도 1605
 
5.7%
로 1570
 
5.6%
정 1555
 
5.5%
당 1359
 
4.8%
Other values (218) 11505
40.7%
None
ValueCountFrequency (%)
· 3
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2024-02-08
1593 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-08
2nd row2024-02-08
3rd row2024-02-08
4th row2024-02-08
5th row2024-02-08

Common Values

ValueCountFrequency (%)
2024-02-08 1593
100.0%

Length

2024-04-06T17:03:36.682917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:03:36.858133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-08 1593
100.0%

Missing values

2024-04-06T17:03:24.490674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:03:24.829500image/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

회사명대표자명업체유형업종명생산품전화번호팩스번호공장지번주소공장도로명주소데이터기준일
0(주)그린일렉콤김광윤법인그 외 기타 전자부품 제조업 외 1 종전원공급장치031-455-1763031-455-1765경기도 군포시 당정동 522번지 군포SK벤티움 104동 11층 1107호경기도 군포시 고산로 166, 104동 11층 1107호 (당정동, SK 벤티움)2024-02-08
1(주)나래바이오테크오정균법인그 외 기타 분류 안된 화학제품 제조업 외 1 종미생물검출 키트031-451-7793031-451-1096경기도 군포시 당정동 980-1번지 유영빌딩 401호경기도 군포시 고산로151번길 17, 401호 (당정동, 유영빌딩)2024-02-08
2(주)서도금속이재순법인금속선 가공제품 제조업W/ROPE+체인가공+관련부속품031-456-4985031-477-5512경기도 군포시 당정동 181-41번지경기도 군포시 당정로76번길 17 (당정동)2024-02-08
3(주)썬나인 코리아임성찬법인비디오 및 기타 영상기기 제조업영상감시장치031-427-9806경기도 군포시 당정동 1045 군포IT밸리 B동 9층 B-901호경기도 군포시 고산로148번길 17, B동 9층 B-901호(당정동, 군포IT밸리)2024-02-08
4(주)에이엠피테크놀로지정희섭법인그 외 기타 전자부품 제조업 외 1 종윈도우기판031-454-6135031-455-4741경기도 군포시 당정동 500-2번지경기도 군포시 봉성로 67 (당정동)2024-02-08
5(주)와이에스피조지운법인그 외 기타 전자부품 제조업 외 1 종노트북 배터리 라벨류031-477-5900070-4156-5794경기도 군포시 금정동 1-40번지 한림휴먼타워 5층 11,12경기도 군포시 엘에스로 172, 5층 11,12 (금정동, 한림휴먼타워)2024-02-08
6(주)위오서동수법인그 외 자동차용 신품 부품 제조업 외 6 종지능형차량용 카메라 부품+CGV+지능형로봇부품+홈네트워크부품031-427-5771031-427-5774경기도 군포시 당정동 325-30번지경기도 군포시 당정로60번길 16 (당정동)2024-02-08
7(주)지엘손윤식법인이동전화기 제조업전자부품(핸드폰부자재)031-458-5064031-454-1310경기도 군포시 금정동 694번지경기도 군포시 엘에스로91번길 93 (금정동)2024-02-08
8(주)진한배진문법인포장용 플라스틱 성형용기 제조업 외 1 종화장품용기외 플라스틱제품+금형02-808-616102-808-6166경기도 군포시 당정동 181-50번지경기도 군포시 공단로140번길 55 (당정동) 외 1필지2024-02-08
9(주)코마틱코리아허우석법인기어 및 동력전달장치 제조업 외 1 종기어+동력전달+공작기계031-436-121302-578-1882경기도 군포시 당정동 522번지 군포SK벤티움 104동 11층 1112호경기도 군포시 고산로 166, 104동 11층 1112호 (당정동, SK 벤티움)2024-02-08
회사명대표자명업체유형업종명생산품전화번호팩스번호공장지번주소공장도로명주소데이터기준일
1583협신기계김진수개인그 외 기타 일반목적용 기계 제조업 외 1 종닥트용 브라켓트031-451-4111031-451-4113경기도 군포시 산본동 1-11번지경기도 군포시 엘에스로182번길 34-17 (산본동, 협신기계)2024-02-08
1584형창유성미개인금속 열처리업전자OA부품도금031-452-2602031-451-2601경기도 군포시 금정동 694-15번지 2층경기도 군포시 흥안대로 15-27, 2층 (금정동)2024-02-08
1585혜성산업서성원개인그 외 기타 달리 분류되지 않은 제품 제조업 외 1 종화장품거울+판촉용거울+화장품용기 실크인쇄031-454-7951031-454-7952경기도 군포시 산본동 1-15번지경기도 군포시 엘에스로182번길 32 (산본동, 혜성산업)2024-02-08
1586혜인 ENG현인수개인운송장비 조립용 플라스틱제품 제조업 외 1 종핸드폰부품031-452-2655031-427-2655경기도 군포시 당정동 103-1번지경기도 군포시 산본로55번안길 10 (당정동)2024-02-08
1587홍은전자이정현개인그 외 기타 일반목적용 기계 제조업 외 1 종인증기031-429-3663031-429-3662경기도 군포시 당정동 323-1번지 4층 408, 409호(군포제일공단)경기도 군포시 당정로75번길 23, 4층 408, 409호(군포제일공단) (당정동)2024-02-08
1588화성곽상인개인운송장비 조립용 플라스틱제품 제조업 외 1 종금형부품031-451-4181031-451-4184경기도 군포시 금정동 689-30번지경기도 군포시 공단로 298-20 (금정동)2024-02-08
1589화성엠텍(주)신상순법인일반철물 제조업 외 6 종방화문+자동문 조립부품+난간대031-454-4506031-499-4509경기도 군포시 당정동 78-11번지경기도 군포시 산본로48번길 42-1 (당정동)2024-02-08
1590회명정보통신(주)한창민법인기타 무선 통신장비 제조업고속철용 통신장비041-413-2542041-627-2367경기도 군포시 당정동 181-42번지 엠테크노센터 413호경기도 군포시 공단로140번길 46, 엠테크노센터 413호 (당정동)2024-02-08
1591휴마시스(주)차정학법인그 외 기타 의료용 기기 제조업체외진단 의료기기031-478-8588031-478-8581경기도 군포시 부곡동 1247-7 휴마시스(주)GMP군포점경기도 군포시 군포첨단산업2로 37 (부곡동) 휴마시스(주)GMP군포점2024-02-08
1592휴먼텍양선모개인그 외 기타 전기장비 제조업전기장비031-382-6600031-382-6604경기도 군포시 부곡동 1234-7번지경기도 군포시 군포첨단산업1로 5 (부곡동)2024-02-08