Overview

Dataset statistics

Number of variables10
Number of observations9723
Missing cells10089
Missing cells (%)10.4%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory769.2 KiB
Average record size in memory81.0 B

Variable types

Text8
Categorical1
Numeric1

Dataset

Description화성시 공장등록현황에 대한 데이터로 회사명, 단지명, 등록일, 전화먼호, 종업원수, 생산품, 공장대표주소, 업종번호, 업종명의 정보를 제공합니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/3047011/fileData.do

Alerts

Dataset has 2 (< 0.1%) duplicate rowsDuplicates
단지명 is highly imbalanced (90.6%)Imbalance
등록일 has 8305 (85.4%) missing valuesMissing
공장대표주소(지번) has 1725 (17.7%) missing valuesMissing
종업원수 is highly skewed (γ1 = 51.63073404)Skewed
종업원수 has 2228 (22.9%) zerosZeros

Reproduction

Analysis started2023-12-12 22:10:29.382603
Analysis finished2023-12-12 22:10:31.677463
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Text

Distinct9020
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size76.1 KiB
2023-12-13T07:10:31.837160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length6.6729405
Min length1

Characters and Unicode

Total characters64881
Distinct characters727
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

Unique8414 ?
Unique (%)86.5%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
주식회사 110
 
1.1%
제2공장 62
 
0.6%
제1공장 31
 
0.3%
2공장 19
 
0.2%
화성공장 14
 
0.1%
1공장 11
 
0.1%
농업회사법인 11
 
0.1%
성원산업 10
 
0.1%
제3공장 9
 
0.1%
대진산업 8
 
0.1%
Other values (9003) 9825
97.2%
2023-12-13T07:10:32.493216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5983
 
9.2%
) 5822
 
9.0%
( 5818
 
9.0%
이 2043
 
3.1%
스 1596
 
2.5%
업 1376
 
2.1%
산 1122
 
1.7%
에 1120
 
1.7%
성 938
 
1.4%
크 850
 
1.3%
Other values (717) 38213
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50501
77.8%
Close Punctuation 5822
 
9.0%
Open Punctuation 5818
 
9.0%
Decimal Number 1461
 
2.3%
Uppercase Letter 681
 
1.0%
Space Separator 387
 
0.6%
Other Punctuation 124
 
0.2%
Lowercase Letter 71
 
0.1%
Dash Punctuation 12
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5983
 
11.8%
이 2043
 
4.0%
스 1596
 
3.2%
업 1376
 
2.7%
산 1122
 
2.2%
에 1120
 
2.2%
성 938
 
1.9%
크 850
 
1.7%
지 821
 
1.6%
테 785
 
1.6%
Other values (657) 33867
67.1%
Uppercase Letter
ValueCountFrequency (%)
C 70
 
10.3%
E 67
 
9.8%
T 63
 
9.3%
N 59
 
8.7%
G 52
 
7.6%
S 51
 
7.5%
M 38
 
5.6%
P 38
 
5.6%
K 31
 
4.6%
A 28
 
4.1%
Other values (14) 184
27.0%
Lowercase Letter
ValueCountFrequency (%)
o 11
15.5%
e 10
14.1%
a 7
9.9%
h 6
8.5%
c 5
 
7.0%
r 5
 
7.0%
d 4
 
5.6%
n 4
 
5.6%
g 3
 
4.2%
y 3
 
4.2%
Other values (7) 13
18.3%
Decimal Number
ValueCountFrequency (%)
2 325
22.2%
1 269
18.4%
3 215
14.7%
4 139
9.5%
8 88
 
6.0%
5 86
 
5.9%
0 85
 
5.8%
6 85
 
5.8%
9 85
 
5.8%
7 84
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 97
78.2%
& 25
 
20.2%
/ 1
 
0.8%
？ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 5822
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5818
100.0%
Space Separator
ValueCountFrequency (%)
387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50505
77.8%
Common 13624
 
21.0%
Latin 752
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5983
 
11.8%
이 2043
 
4.0%
스 1596
 
3.2%
업 1376
 
2.7%
산 1122
 
2.2%
에 1120
 
2.2%
성 938
 
1.9%
크 850
 
1.7%
지 821
 
1.6%
테 785
 
1.6%
Other values (658) 33871
67.1%
Latin
ValueCountFrequency (%)
C 70
 
9.3%
E 67
 
8.9%
T 63
 
8.4%
N 59
 
7.8%
G 52
 
6.9%
S 51
 
6.8%
M 38
 
5.1%
P 38
 
5.1%
K 31
 
4.1%
A 28
 
3.7%
Other values (31) 255
33.9%
Common
ValueCountFrequency (%)
) 5822
42.7%
( 5818
42.7%
387
 
2.8%
2 325
 
2.4%
1 269
 
2.0%
3 215
 
1.6%
4 139
 
1.0%
. 97
 
0.7%
8 88
 
0.6%
5 86
 
0.6%
Other values (8) 378
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50501
77.8%
ASCII 14375
 
22.2%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5983
 
11.8%
이 2043
 
4.0%
스 1596
 
3.2%
업 1376
 
2.7%
산 1122
 
2.2%
에 1120
 
2.2%
성 938
 
1.9%
크 850
 
1.7%
지 821
 
1.6%
테 785
 
1.6%
Other values (657) 33867
67.1%
ASCII
ValueCountFrequency (%)
) 5822
40.5%
( 5818
40.5%
387
 
2.7%
2 325
 
2.3%
1 269
 
1.9%
3 215
 
1.5%
4 139
 
1.0%
. 97
 
0.7%
8 88
 
0.6%
5 86
 
0.6%
Other values (48) 1129
 
7.9%
None
ValueCountFrequency (%)
㈜ 4
80.0%
？ 1
 
20.0%

회사명
Text

Distinct8832
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Memory size76.1 KiB
2023-12-13T07:10:32.857089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length56
Mean length24.022524
Min length2

Characters and Unicode

Total characters233571
Distinct characters509
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

Unique8063 ?
Unique (%)82.9%

Sample

1st row(사)동반성장산업협회 아이에너지사업단
2nd row(유)유씨씨
3rd row(주)47컴퍼니
4th row(주)가람기술
5th row(주)가야
ValueCountFrequency (%)
경기도 9280
 
18.0%
화성시 9280
 
18.0%
팔탄면 1475
 
2.9%
향남읍 1016
 
2.0%
정남면 975
 
1.9%
장안면 930
 
1.8%
마도면 800
 
1.6%
남양읍 769
 
1.5%
총 702
 
1.4%
필지 701
 
1.4%
Other values (7113) 25537
49.6%
2023-12-13T07:10:33.365362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41754
 
17.9%
도 10616
 
4.5%
기 9913
 
4.2%
성 9771
 
4.2%
화 9624
 
4.1%
시 9502
 
4.1%
경 9364
 
4.0%
1 8522
 
3.6%
2 6121
 
2.6%
면 6084
 
2.6%
Other values (499) 112300
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137601
58.9%
Decimal Number 41965
 
18.0%
Space Separator 41754
 
17.9%
Dash Punctuation 5734
 
2.5%
Open Punctuation 2477
 
1.1%
Close Punctuation 2475
 
1.1%
Other Punctuation 1148
 
0.5%
Uppercase Letter 401
 
0.2%
Other Symbol 11
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10616
 
7.7%
기 9913
 
7.2%
성 9771
 
7.1%
화 9624
 
7.0%
시 9502
 
6.9%
경 9364
 
6.8%
면 6084
 
4.4%
로 5592
 
4.1%
길 5240
 
3.8%
남 3326
 
2.4%
Other values (452) 58569
42.6%
Uppercase Letter
ValueCountFrequency (%)
B 116
28.9%
A 65
16.2%
I 54
13.5%
L 52
13.0%
C 27
 
6.7%
E 18
 
4.5%
T 12
 
3.0%
M 9
 
2.2%
D 8
 
2.0%
G 8
 
2.0%
Other values (12) 32
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 8522
20.3%
2 6121
14.6%
3 4727
11.3%
4 3995
9.5%
5 3715
8.9%
6 3644
8.7%
7 3118
 
7.4%
0 3021
 
7.2%
8 2666
 
6.4%
9 2436
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 991
86.3%
. 126
 
11.0%
/ 27
 
2.4%
& 4
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
e 1
25.0%
a 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 2476
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2474
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
41754
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5734
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137610
58.9%
Common 95554
40.9%
Latin 405
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10616
 
7.7%
기 9913
 
7.2%
성 9771
 
7.1%
화 9624
 
7.0%
시 9502
 
6.9%
경 9364
 
6.8%
면 6084
 
4.4%
로 5592
 
4.1%
길 5240
 
3.8%
남 3326
 
2.4%
Other values (451) 58578
42.6%
Latin
ValueCountFrequency (%)
B 116
28.6%
A 65
16.0%
I 54
13.3%
L 52
12.8%
C 27
 
6.7%
E 18
 
4.4%
T 12
 
3.0%
M 9
 
2.2%
D 8
 
2.0%
G 8
 
2.0%
Other values (15) 36
 
8.9%
Common
ValueCountFrequency (%)
41754
43.7%
1 8522
 
8.9%
2 6121
 
6.4%
- 5734
 
6.0%
3 4727
 
4.9%
4 3995
 
4.2%
5 3715
 
3.9%
6 3644
 
3.8%
7 3118
 
3.3%
0 3021
 
3.2%
Other values (11) 11203
 
11.7%
Han
ValueCountFrequency (%)
右 1
50.0%
德 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137599
58.9%
ASCII 95959
41.1%
None 11
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41754
43.5%
1 8522
 
8.9%
2 6121
 
6.4%
- 5734
 
6.0%
3 4727
 
4.9%
4 3995
 
4.2%
5 3715
 
3.9%
6 3644
 
3.8%
7 3118
 
3.2%
0 3021
 
3.1%
Other values (36) 11608
 
12.1%
Hangul
ValueCountFrequency (%)
도 10616
 
7.7%
기 9913
 
7.2%
성 9771
 
7.1%
화 9624
 
7.0%
시 9502
 
6.9%
경 9364
 
6.8%
면 6084
 
4.4%
로 5592
 
4.1%
길 5240
 
3.8%
남 3326
 
2.4%
Other values (450) 58567
42.6%
None
ValueCountFrequency (%)
㈜ 11
100.0%
CJK
ValueCountFrequency (%)
右 1
50.0%
德 1
50.0%

단지명
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size76.1 KiB
경기도 화성시
9260 
<NA>
 
342
경기도시공사
 
20
화성동탄일반산업단지
 
19
화성발안일반산업단지
 
17
Other values (9)
 
65

Length

Max length15
Median length7
Mean length6.9367479
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row화성바이오밸리일반산업단지
3rd row<NA>
4th row<NA>
5th row화성마도일반산업단지

Common Values

ValueCountFrequency (%)
경기도 화성시 9260
95.2%
<NA> 342
 
3.5%
경기도시공사 20
 
0.2%
화성동탄일반산업단지 19
 
0.2%
화성발안일반산업단지 17
 
0.2%
화성전곡해양일반산업단지 15
 
0.2%
화성바이오밸리일반산업단지 10
 
0.1%
화성마도일반산업단지 10
 
0.1%
화성송산테크노파크일반산업단지 10
 
0.1%
화성동탄도시첨단산업단지 8
 
0.1%
Other values (4) 12
 
0.1%

Length

2023-12-13T07:10:33.518959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 9260
48.8%
화성시 9260
48.8%
na 342
 
1.8%
경기도시공사 20
 
0.1%
화성동탄일반산업단지 19
 
0.1%
화성발안일반산업단지 17
 
0.1%
화성전곡해양일반산업단지 15
 
0.1%
화성바이오밸리일반산업단지 10
 
0.1%
화성마도일반산업단지 10
 
0.1%
화성송산테크노파크일반산업단지 10
 
0.1%
Other values (5) 20
 
0.1%

등록일
Text

MISSING 

Distinct76
Distinct (%)5.4%
Missing8305
Missing (%)85.4%
Memory size76.1 KiB
2023-12-13T07:10:33.740315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.19464
Min length8

Characters and Unicode

Total characters14456
Distinct characters43
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row2022-04-27
2nd row2022-04-15
3rd row2022-04-28
4th row2022-05-26
5th row2022-06-17
ValueCountFrequency (%)
화성발안지방산업단지 336
23.7%
화성동탄일반산업단지 231
16.3%
화성마도지방산업단지 147
 
10.4%
화성바이오밸리일반산업단지 87
 
6.1%
화성전곡해양산업단지 66
 
4.7%
화성향남지방산업단지 50
 
3.5%
2022-04-27 21
 
1.5%
화성화남지방산업단지 17
 
1.2%
장안1첨단지방산업단지 15
 
1.1%
2022-04-15 13
 
0.9%
Other values (66) 435
30.7%
2023-12-13T07:10:34.161437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 1550
 
10.7%
2 1529
 
10.6%
0 1031
 
7.1%
단 996
 
6.9%
산 975
 
6.7%
업 975
 
6.7%
화 970
 
6.7%
성 953
 
6.6%
- 886
 
6.1%
방 575
 
4.0%
Other values (33) 4016
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10006
69.2%
Decimal Number 3564
 
24.7%
Dash Punctuation 886
 
6.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1550
15.5%
단 996
10.0%
산 975
9.7%
업 975
9.7%
화 970
9.7%
성 953
9.5%
방 575
 
5.7%
안 358
 
3.6%
발 336
 
3.4%
일 332
 
3.3%
Other values (22) 1986
19.8%
Decimal Number
ValueCountFrequency (%)
2 1529
42.9%
0 1031
28.9%
4 229
 
6.4%
1 225
 
6.3%
5 201
 
5.6%
6 140
 
3.9%
3 67
 
1.9%
7 62
 
1.7%
9 43
 
1.2%
8 37
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 886
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10006
69.2%
Common 4450
30.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1550
15.5%
단 996
10.0%
산 975
9.7%
업 975
9.7%
화 970
9.7%
성 953
9.5%
방 575
 
5.7%
안 358
 
3.6%
발 336
 
3.4%
일 332
 
3.3%
Other values (22) 1986
19.8%
Common
ValueCountFrequency (%)
2 1529
34.4%
0 1031
23.2%
- 886
19.9%
4 229
 
5.1%
1 225
 
5.1%
5 201
 
4.5%
6 140
 
3.1%
3 67
 
1.5%
7 62
 
1.4%
9 43
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10006
69.2%
ASCII 4450
30.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 1550
15.5%
단 996
10.0%
산 975
9.7%
업 975
9.7%
화 970
9.7%
성 953
9.5%
방 575
 
5.7%
안 358
 
3.6%
발 336
 
3.4%
일 332
 
3.3%
Other values (22) 1986
19.8%
ASCII
ValueCountFrequency (%)
2 1529
34.4%
0 1031
23.2%
- 886
19.9%
4 229
 
5.1%
1 225
 
5.1%
5 201
 
4.5%
6 140
 
3.1%
3 67
 
1.5%
7 62
 
1.4%
9 43
 
1.0%

전화번호
Text

Distinct379
Distinct (%)3.9%
Missing53
Missing (%)0.5%
Memory size76.1 KiB
2023-12-13T07:10:34.455870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length2
Mean length2.8135471
Min length2

Characters and Unicode

Total characters27207
Distinct characters25
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique360 ?
Unique (%)3.7%

Sample

1st row070-4213-1761
2nd row031-716-3267
3rd row031-457-7006
4th row031-353-8814
5th row031-356-6481
ValueCountFrequency (%)
일반 8162
84.4%
일반산업단지 972
 
10.1%
창업 143
 
1.5%
031-508-2655 3
 
< 0.1%
031-831-5560 2
 
< 0.1%
031-355-2912 2
 
< 0.1%
031-499-3391 2
 
< 0.1%
031-352-1695 2
 
< 0.1%
031-352-1485 2
 
< 0.1%
031-371-2400 2
 
< 0.1%
Other values (369) 378
 
3.9%
2023-12-13T07:10:34.866354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 9134
33.6%
반 9134
33.6%
업 1115
 
4.1%
지 973
 
3.6%
산 972
 
3.6%
단 972
 
3.6%
- 784
 
2.9%
3 772
 
2.8%
0 696
 
2.6%
1 577
 
2.1%
Other values (15) 2078
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22448
82.5%
Decimal Number 3969
 
14.6%
Dash Punctuation 784
 
2.9%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 9134
40.7%
반 9134
40.7%
업 1115
 
5.0%
지 973
 
4.3%
산 972
 
4.3%
단 972
 
4.3%
창 143
 
0.6%
역 2
 
< 0.1%
자 1
 
< 0.1%
유 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
3 772
19.5%
0 696
17.5%
1 577
14.5%
5 400
10.1%
2 290
 
7.3%
4 263
 
6.6%
6 260
 
6.6%
7 255
 
6.4%
8 251
 
6.3%
9 205
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 784
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22448
82.5%
Common 4753
 
17.5%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 9134
40.7%
반 9134
40.7%
업 1115
 
5.0%
지 973
 
4.3%
산 972
 
4.3%
단 972
 
4.3%
창 143
 
0.6%
역 2
 
< 0.1%
자 1
 
< 0.1%
유 1
 
< 0.1%
Common
ValueCountFrequency (%)
- 784
16.5%
3 772
16.2%
0 696
14.6%
1 577
12.1%
5 400
8.4%
2 290
 
6.1%
4 263
 
5.5%
6 260
 
5.5%
7 255
 
5.4%
8 251
 
5.3%
Latin
ValueCountFrequency (%)
A 2
33.3%
R 2
33.3%
S 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22448
82.5%
ASCII 4759
 
17.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 9134
40.7%
반 9134
40.7%
업 1115
 
5.0%
지 973
 
4.3%
산 972
 
4.3%
단 972
 
4.3%
창 143
 
0.6%
역 2
 
< 0.1%
자 1
 
< 0.1%
유 1
 
< 0.1%
ASCII
ValueCountFrequency (%)
- 784
16.5%
3 772
16.2%
0 696
14.6%
1 577
12.1%
5 400
8.4%
2 290
 
6.1%
4 263
 
5.5%
6 260
 
5.5%
7 255
 
5.4%
8 251
 
5.3%
Other values (4) 211
 
4.4%

종업원수
Real number (ℝ)

SKEWED  ZEROS 

Distinct4407
Distinct (%)45.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3356.4066
Minimum0
Maximum1417789.1
Zeros2228
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size85.6 KiB
2023-12-13T07:10:35.020191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median1650
Q33323
95-th percentile9917
Maximum1417789.1
Range1417789.1
Interquartile range (IQR)3313

Descriptive statistics

Standard deviation24332.938
Coefficient of variation (CV)7.2496991
Kurtosis2830.1691
Mean3356.4066
Median Absolute Deviation (MAD)1645
Skewness51.630734
Sum32627629
Variance5.9209187 × 108
MonotonicityNot monotonic
2023-12-13T07:10:35.166085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2228
 
22.9%
1653.0 48
 
0.5%
3306.0 42
 
0.4%
990.0 34
 
0.3%
5.0 32
 
0.3%
3.0 29
 
0.3%
6.0 27
 
0.3%
992.0 26
 
0.3%
4.0 24
 
0.2%
1650.0 23
 
0.2%
Other values (4397) 7208
74.1%
ValueCountFrequency (%)
0.0 2228
22.9%
1.0 9
 
0.1%
1.322 1
 
< 0.1%
2.0 18
 
0.2%
3.0 29
 
0.3%
4.0 24
 
0.2%
5.0 32
 
0.3%
6.0 27
 
0.3%
7.0 11
 
0.1%
8.0 18
 
0.2%
ValueCountFrequency (%)
1417789.1 1
< 0.1%
1338143.0 1
< 0.1%
1254716.2 1
< 0.1%
372027.0 1
< 0.1%
138172.0 1
< 0.1%
129780.0 1
< 0.1%
105189.0 1
< 0.1%
82348.0 1
< 0.1%
71410.0 1
< 0.1%
69665.1 1
< 0.1%

생산품
Text

Distinct7474
Distinct (%)76.9%
Missing2
Missing (%)< 0.1%
Memory size76.1 KiB
2023-12-13T07:10:35.556498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length71
Mean length5.5454171
Min length1

Characters and Unicode

Total characters53907
Distinct characters472
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

Unique6689 ?
Unique (%)68.8%

Sample

1st rowLED 조명기구, 폐쇄회로텔레비전(CCTV)
2nd row합성수지 기타 플라스틱물질
3rd row운동기구 및 의료용품
4th row자동화 설비
5th row전자회로기판 조립,제습센서,기타전자부품,전기난방기,석유난로,산업용에어컨,제습기,공기청정기
ValueCountFrequency (%)
198 208
 
2.0%
330 65
 
0.6%
396 63
 
0.6%
495 49
 
0.5%
및 45
 
0.4%
490 38
 
0.4%
660 33
 
0.3%
480 31
 
0.3%
165 31
 
0.3%
492 23
 
0.2%
Other values (7821) 9783
94.3%
2023-12-13T07:10:36.135822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 6387
11.8%
1 5653
10.5%
2 4630
8.6%
4 4505
8.4%
9 4366
8.1%
3 4218
7.8%
5 4134
7.7%
8 4126
7.7%
6 4064
7.5%
7 3292
 
6.1%
Other values (462) 8532
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42194
78.3%
Other Punctuation 6697
 
12.4%
Other Letter 3900
 
7.2%
Space Separator 668
 
1.2%
Uppercase Letter 244
 
0.5%
Lowercase Letter 140
 
0.3%
Open Punctuation 30
 
0.1%
Close Punctuation 30
 
0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 189
 
4.8%
품 109
 
2.8%
장 105
 
2.7%
용 94
 
2.4%
제 85
 
2.2%
조 81
 
2.1%
자 78
 
2.0%
부 76
 
1.9%
전 74
 
1.9%
스 65
 
1.7%
Other values (398) 2944
75.5%
Uppercase Letter
ValueCountFrequency (%)
E 29
11.9%
C 27
11.1%
L 25
10.2%
S 22
 
9.0%
D 22
 
9.0%
P 20
 
8.2%
H 12
 
4.9%
T 12
 
4.9%
M 12
 
4.9%
R 8
 
3.3%
Other values (13) 55
22.5%
Lowercase Letter
ValueCountFrequency (%)
e 19
13.6%
a 17
12.1%
r 11
 
7.9%
i 10
 
7.1%
t 9
 
6.4%
s 7
 
5.0%
l 7
 
5.0%
m 7
 
5.0%
n 7
 
5.0%
c 7
 
5.0%
Other values (12) 39
27.9%
Decimal Number
ValueCountFrequency (%)
1 5653
13.4%
2 4630
11.0%
4 4505
10.7%
9 4366
10.3%
3 4218
10.0%
5 4134
9.8%
8 4126
9.8%
6 4064
9.6%
7 3292
7.8%
0 3206
7.6%
Other Punctuation
ValueCountFrequency (%)
. 6387
95.4%
, 305
 
4.6%
/ 3
 
< 0.1%
· 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
668
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49623
92.1%
Hangul 3900
 
7.2%
Latin 384
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 189
 
4.8%
품 109
 
2.8%
장 105
 
2.7%
용 94
 
2.4%
제 85
 
2.2%
조 81
 
2.1%
자 78
 
2.0%
부 76
 
1.9%
전 74
 
1.9%
스 65
 
1.7%
Other values (398) 2944
75.5%
Latin
ValueCountFrequency (%)
E 29
 
7.6%
C 27
 
7.0%
L 25
 
6.5%
S 22
 
5.7%
D 22
 
5.7%
P 20
 
5.2%
e 19
 
4.9%
a 17
 
4.4%
H 12
 
3.1%
T 12
 
3.1%
Other values (35) 179
46.6%
Common
ValueCountFrequency (%)
. 6387
12.9%
1 5653
11.4%
2 4630
9.3%
4 4505
9.1%
9 4366
8.8%
3 4218
8.5%
5 4134
8.3%
8 4126
8.3%
6 4064
8.2%
7 3292
6.6%
Other values (9) 4248
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50005
92.8%
Hangul 3900
 
7.2%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 6387
12.8%
1 5653
11.3%
2 4630
9.3%
4 4505
9.0%
9 4366
8.7%
3 4218
8.4%
5 4134
8.3%
8 4126
8.3%
6 4064
8.1%
7 3292
6.6%
Other values (53) 4630
9.3%
Hangul
ValueCountFrequency (%)
기 189
 
4.8%
품 109
 
2.8%
장 105
 
2.7%
용 94
 
2.4%
제 85
 
2.2%
조 81
 
2.1%
자 78
 
2.0%
부 76
 
1.9%
전 74
 
1.9%
스 65
 
1.7%
Other values (398) 2944
75.5%
None
ValueCountFrequency (%)
· 2
100.0%

공장대표주소(지번)
Text

MISSING 

Distinct629
Distinct (%)7.9%
Missing1725
Missing (%)17.7%
Memory size76.1 KiB
2023-12-13T07:10:36.496056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length70
Mean length2.8252063
Min length1

Characters and Unicode

Total characters22596
Distinct characters191
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique487 ?
Unique (%)6.1%

Sample

1st row경기도 화성시 팔탄면 서근리 103-30
2nd row경기도 화성시 마도면 청원리 1495
3rd row경기도 화성시 우정읍 화산리 1201-3
4th row경기도 화성시 팔탄면 구장리 127-74
5th row경기도 화성시 마도면 쌍송리 667번지
ValueCountFrequency (%)
5 727
 
7.2%
10 570
 
5.6%
4 524
 
5.2%
6 490
 
4.8%
화성시 444
 
4.4%
경기도 443
 
4.4%
3 431
 
4.3%
7 411
 
4.1%
8 364
 
3.6%
2 317
 
3.1%
Other values (833) 5385
53.3%
2023-12-13T07:10:37.031488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3309
14.6%
2132
 
9.4%
2 1818
 
8.0%
5 1516
 
6.7%
3 1367
 
6.0%
0 1305
 
5.8%
4 1289
 
5.7%
6 1017
 
4.5%
7 835
 
3.7%
8 783
 
3.5%
Other values (181) 7225
32.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13863
61.4%
Other Letter 6079
26.9%
Space Separator 2132
 
9.4%
Dash Punctuation 383
 
1.7%
Uppercase Letter 52
 
0.2%
Other Punctuation 38
 
0.2%
Close Punctuation 17
 
0.1%
Open Punctuation 17
 
0.1%
Lowercase Letter 13
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 496
 
8.2%
화 461
 
7.6%
성 449
 
7.4%
기 445
 
7.3%
시 444
 
7.3%
경 443
 
7.3%
리 392
 
6.4%
면 266
 
4.4%
지 253
 
4.2%
번 145
 
2.4%
Other values (146) 2285
37.6%
Uppercase Letter
ValueCountFrequency (%)
B 12
23.1%
A 10
19.2%
I 9
17.3%
X 6
11.5%
S 4
 
7.7%
T 2
 
3.8%
V 2
 
3.8%
K 2
 
3.8%
L 2
 
3.8%
H 1
 
1.9%
Other values (2) 2
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 3309
23.9%
2 1818
13.1%
5 1516
10.9%
3 1367
9.9%
0 1305
 
9.4%
4 1289
 
9.3%
6 1017
 
7.3%
7 835
 
6.0%
8 783
 
5.6%
9 624
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
30.8%
r 2
15.4%
t 2
15.4%
n 2
15.4%
c 2
15.4%
b 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 37
97.4%
/ 1
 
2.6%
Space Separator
ValueCountFrequency (%)
2132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16452
72.8%
Hangul 6079
 
26.9%
Latin 65
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 496
 
8.2%
화 461
 
7.6%
성 449
 
7.4%
기 445
 
7.3%
시 444
 
7.3%
경 443
 
7.3%
리 392
 
6.4%
면 266
 
4.4%
지 253
 
4.2%
번 145
 
2.4%
Other values (146) 2285
37.6%
Latin
ValueCountFrequency (%)
B 12
18.5%
A 10
15.4%
I 9
13.8%
X 6
9.2%
S 4
 
6.2%
e 4
 
6.2%
r 2
 
3.1%
t 2
 
3.1%
T 2
 
3.1%
n 2
 
3.1%
Other values (8) 12
18.5%
Common
ValueCountFrequency (%)
1 3309
20.1%
2132
13.0%
2 1818
11.1%
5 1516
9.2%
3 1367
8.3%
0 1305
 
7.9%
4 1289
 
7.8%
6 1017
 
6.2%
7 835
 
5.1%
8 783
 
4.8%
Other values (7) 1081
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16517
73.1%
Hangul 6079
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3309
20.0%
2132
12.9%
2 1818
11.0%
5 1516
9.2%
3 1367
8.3%
0 1305
 
7.9%
4 1289
 
7.8%
6 1017
 
6.2%
7 835
 
5.1%
8 783
 
4.7%
Other values (25) 1146
 
6.9%
Hangul
ValueCountFrequency (%)
도 496
 
8.2%
화 461
 
7.6%
성 449
 
7.4%
기 445
 
7.3%
시 444
 
7.3%
경 443
 
7.3%
리 392
 
6.4%
면 266
 
4.4%
지 253
 
4.2%
번 145
 
2.4%
Other values (146) 2285
37.6%

업종번호
Text

Distinct285
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size76.1 KiB
2023-12-13T07:10:37.557508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length180
Median length3
Mean length3.473825
Min length3

Characters and Unicode

Total characters33776
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)2.3%

Sample

1st row28422, 26421, 26429, 28113, 28410, 28423, 28429, 29172, 29173
2nd row20202,
3rd row33301,
4th row29199,
5th row26224, 26295, 26299, 28512, 28520, 29171, 29172, 29174
ValueCountFrequency (%)
소기업 8750
86.0%
중기업 506
 
5.0%
29271 28
 
0.3%
25113 26
 
0.3%
대기업 24
 
0.2%
26299 20
 
0.2%
25112 20
 
0.2%
29299 19
 
0.2%
25114 18
 
0.2%
25999 17
 
0.2%
Other values (238) 750
 
7.4%
2023-12-13T07:10:38.107277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 9280
27.5%
기 9280
27.5%
소 8750
25.9%
2 1433
 
4.2%
1 808
 
2.4%
9 734
 
2.2%
, 723
 
2.1%
723
 
2.1%
중 506
 
1.5%
3 384
 
1.1%
Other values (7) 1155
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27840
82.4%
Decimal Number 4490
 
13.3%
Other Punctuation 723
 
2.1%
Space Separator 723
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1433
31.9%
1 808
18.0%
9 734
16.3%
3 384
 
8.6%
0 266
 
5.9%
5 241
 
5.4%
4 213
 
4.7%
7 166
 
3.7%
8 133
 
3.0%
6 112
 
2.5%
Other Letter
ValueCountFrequency (%)
업 9280
33.3%
기 9280
33.3%
소 8750
31.4%
중 506
 
1.8%
대 24
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 723
100.0%
Space Separator
ValueCountFrequency (%)
723
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27840
82.4%
Common 5936
 
17.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1433
24.1%
1 808
13.6%
9 734
12.4%
, 723
12.2%
723
12.2%
3 384
 
6.5%
0 266
 
4.5%
5 241
 
4.1%
4 213
 
3.6%
7 166
 
2.8%
Other values (2) 245
 
4.1%
Hangul
ValueCountFrequency (%)
업 9280
33.3%
기 9280
33.3%
소 8750
31.4%
중 506
 
1.8%
대 24
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27840
82.4%
ASCII 5936
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 9280
33.3%
기 9280
33.3%
소 8750
31.4%
중 506
 
1.8%
대 24
 
0.1%
ASCII
ValueCountFrequency (%)
2 1433
24.1%
1 808
13.6%
9 734
12.4%
, 723
12.2%
723
12.2%
3 384
 
6.5%
0 266
 
4.5%
5 241
 
4.1%
4 213
 
3.6%
7 166
 
2.8%
Other values (2) 245
 
4.1%

업종명
Text

Distinct4219
Distinct (%)43.4%
Missing2
Missing (%)< 0.1%
Memory size76.1 KiB
2023-12-13T07:10:38.457133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length10
Mean length10.34945
Min length3

Characters and Unicode

Total characters100607
Distinct characters250
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

Unique1872 ?
Unique (%)19.3%

Sample

1st row일반용 전기 조명장치 제조업 외 8 종
2nd row합성수지 및 기타 플라스틱 물질 제조업
3rd row체조, 육상 및 체력단련용 장비 제조업
4th row그 외 기타 일반목적용 기계 제조업
5th row전자부품 실장기판 제조업 외 7 종
ValueCountFrequency (%)
제조업 406
 
3.4%
외 249
 
2.1%
종 175
 
1.5%
및 159
 
1.3%
기타 126
 
1.1%
1 81
 
0.7%
그 74
 
0.6%
금속 61
 
0.5%
기계 45
 
0.4%
2 40
 
0.3%
Other values (4279) 10396
88.0%
2023-12-13T07:10:38.955091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23550
23.4%
- 18556
18.4%
2 14676
14.6%
1 14533
14.4%
9 4061
 
4.0%
7 3421
 
3.4%
3 3162
 
3.1%
6 2930
 
2.9%
5 2783
 
2.8%
4 2722
 
2.7%
Other values (240) 10213
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74407
74.0%
Dash Punctuation 18556
 
18.4%
Other Letter 5487
 
5.5%
Space Separator 2092
 
2.1%
Other Punctuation 55
 
0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 552
 
10.1%
조 520
 
9.5%
업 462
 
8.4%
기 303
 
5.5%
외 256
 
4.7%
종 181
 
3.3%
용 160
 
2.9%
및 159
 
2.9%
품 148
 
2.7%
타 127
 
2.3%
Other values (224) 2619
47.7%
Decimal Number
ValueCountFrequency (%)
0 23550
31.7%
2 14676
19.7%
1 14533
19.5%
9 4061
 
5.5%
7 3421
 
4.6%
3 3162
 
4.2%
6 2930
 
3.9%
5 2783
 
3.7%
4 2722
 
3.7%
8 2569
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 49
89.1%
. 6
 
10.9%
Dash Punctuation
ValueCountFrequency (%)
- 18556
100.0%
Space Separator
ValueCountFrequency (%)
2092
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95120
94.5%
Hangul 5487
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 552
 
10.1%
조 520
 
9.5%
업 462
 
8.4%
기 303
 
5.5%
외 256
 
4.7%
종 181
 
3.3%
용 160
 
2.9%
및 159
 
2.9%
품 148
 
2.7%
타 127
 
2.3%
Other values (224) 2619
47.7%
Common
ValueCountFrequency (%)
0 23550
24.8%
- 18556
19.5%
2 14676
15.4%
1 14533
15.3%
9 4061
 
4.3%
7 3421
 
3.6%
3 3162
 
3.3%
6 2930
 
3.1%
5 2783
 
2.9%
4 2722
 
2.9%
Other values (6) 4726
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95120
94.5%
Hangul 5485
 
5.5%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23550
24.8%
- 18556
19.5%
2 14676
15.4%
1 14533
15.3%
9 4061
 
4.3%
7 3421
 
3.6%
3 3162
 
3.3%
6 2930
 
3.1%
5 2783
 
2.9%
4 2722
 
2.9%
Other values (6) 4726
 
5.0%
Hangul
ValueCountFrequency (%)
제 552
 
10.1%
조 520
 
9.5%
업 462
 
8.4%
기 303
 
5.5%
외 256
 
4.7%
종 181
 
3.3%
용 160
 
2.9%
및 159
 
2.9%
품 148
 
2.7%
타 127
 
2.3%
Other values (223) 2617
47.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

Interactions

2023-12-13T07:10:31.080424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:10:39.090699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단지명등록일종업원수
단지명1.0000.9710.000
등록일0.9711.0000.670
종업원수0.0000.6701.000
2023-12-13T07:10:39.177168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수단지명
종업원수1.0000.000
단지명0.0001.000

Missing values

2023-12-13T07:10:31.249038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:10:31.424021image/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.
2023-12-13T07:10:31.573622image/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

순번회사명단지명등록일전화번호종업원수생산품공장대표주소(지번)업종번호업종명
01(사)동반성장산업협회 아이에너지사업단<NA>2022-04-27070-4213-176114.0LED 조명기구, 폐쇄회로텔레비전(CCTV)경기도 화성시 팔탄면 서근리 103-3028422, 26421, 26429, 28113, 28410, 28423, 28429, 29172, 29173일반용 전기 조명장치 제조업 외 8 종
12(유)유씨씨화성바이오밸리일반산업단지2022-04-15031-716-32675.0합성수지 기타 플라스틱물질경기도 화성시 마도면 청원리 149520202,합성수지 및 기타 플라스틱 물질 제조업
23(주)47컴퍼니<NA>2022-04-28031-457-70062.0운동기구 및 의료용품경기도 화성시 우정읍 화산리 1201-333301,체조, 육상 및 체력단련용 장비 제조업
34(주)가람기술<NA>2022-05-26031-353-881421.0자동화 설비경기도 화성시 팔탄면 구장리 127-7429199,그 외 기타 일반목적용 기계 제조업
45(주)가야화성마도일반산업단지2022-06-17031-356-648118.0전자회로기판 조립,제습센서,기타전자부품,전기난방기,석유난로,산업용에어컨,제습기,공기청정기경기도 화성시 마도면 쌍송리 667번지26224, 26295, 26299, 28512, 28520, 29171, 29172, 29174전자부품 실장기판 제조업 외 7 종
56(주)건일테크<NA>2022-05-18031-352-41887.0금속압형제품경기도 화성시 장안면 독정리 416-5번지25913, 25914자동차용 금속 압형제품 제조업 외 1 종
67(주)건일테크<NA>2022-05-17031-352-418823.0자동차부품경기도 화성시 팔탄면 덕우리 75번지30399, 30391, 30392, 30400그 외 자동차용 신품 부품 제조업 외 3 종
78(주)경문도어시스템<NA>2022-04-18031-411-604116.0각종 스피드도어 및 방화, 방폭셔터 등경기도 화성시 팔탄면 율암리 571-325111,금속 문, 창, 셔터 및 관련제품 제조업
89(주)경신패키지<NA>2022-05-12031-459-090324.0골판지상자경기도 화성시 향남읍 동오리 473-1번지 외 1필지17211, 17212골판지 제조업 외 1 종
910(주)곰소<NA>2022-06-14<NA>4.0탁주경기도 화성시 송산면 봉가리 424-1111111,탁주 및 약주 제조업
순번회사명단지명등록일전화번호종업원수생산품공장대표주소(지번)업종번호업종명
9713서부냉동기계경기도 화성시 매송면 송라길 6경기도 화성시<NA>일반952.0232.644소기업<NA>
9714한솔특수포장경기도 화성시 마도면 마도로 406-12경기도 화성시<NA>창업1673.06604소기업2004-04-18
9715(주)자연건강 그 신비를 캐는 사람들경기도 화성시 양감면 제약단지로 176-19경기도 화성시<NA>일반1722.0828.9612소기업2003-06-18
9716(주)장진산업경기도 화성시 장안면 화곡로 265-3경기도 화성시<NA>일반3608.012183소기업2005-11-14
9717용진사경기도 화성시 마도면 쌍송북로27번길 46경기도 화성시<NA>일반4369.01406.919소기업2002-10-21
9718(주)신명브이티에스경기도 화성시 비봉면 푸른들판로 1255경기도 화성시<NA>일반1912.0584.2917소기업2001-09-10
9719일영산업경기도 화성시 팔탄면 언창공단길 9-5경기도 화성시<NA>일반1548.0545.914소기업1998-12-16
9720노벨스톤경기도 화성시 장안면 장안공단로 215-16경기도 화성시<NA>일반2608.01112.2223소기업2009-12-23
9721(주)대동포리마경기도 화성시 팔탄면 제암고주로 102-6 ((주) 대동포리마)경기도 화성시<NA>일반2149.01085.9614소기업2004-08-20
9722(주)한화고분자경기도 화성시 남양읍 안석길 61경기도 화성시<NA>일반3166.01400.956소기업2007-06-21

Duplicate rows

Most frequently occurring

순번회사명단지명등록일전화번호종업원수생산품공장대표주소(지번)업종번호업종명# duplicates
0서남도장페인트경기도 화성시 안녕남로58번길 13-14 (안녕동)경기도 화성시<NA>일반0.01943소기업2005-11-022
1세광산업경기도 화성시 봉담읍 가능골2길 31경기도 화성시<NA>일반858.0384.938소기업2004-03-302