Overview

Dataset statistics

Number of variables5
Number of observations235
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory41.6 B

Variable types

Numeric1
Text4

Dataset

Description부산광역시 해운대구의 공장등록 현황 입니다. 부산광역시 해운대구 관내 공장의 상호 및 소재지 주소 등에 대한 정보를 제공합니다.
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/3075338/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:06:07.089821
Analysis finished2023-12-12 04:06:08.045743
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct235
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118
Minimum1
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T13:06:08.156253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.7
Q159.5
median118
Q3176.5
95-th percentile223.3
Maximum235
Range234
Interquartile range (IQR)117

Descriptive statistics

Standard deviation67.982841
Coefficient of variation (CV)0.57612577
Kurtosis-1.2
Mean118
Median Absolute Deviation (MAD)59
Skewness0
Sum27730
Variance4621.6667
MonotonicityStrictly increasing
2023-12-12T13:06:08.390878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
163 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
156 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
Other values (225) 225
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
235 1
0.4%
234 1
0.4%
233 1
0.4%
232 1
0.4%
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%

업체명
Text

Distinct230
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T13:06:08.694762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.1574468
Min length2

Characters and Unicode

Total characters1447
Distinct characters256
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)96.2%

Sample

1st row㈜성철사
2nd row광명사
3rd row태광산업㈜반여공장
4th row신미산업
5th row(주)풍산부산사업장
ValueCountFrequency (%)
주식회사 5
 
2.0%
㈜아이에스엠 3
 
1.2%
마린플래닛㈜ 2
 
0.8%
주)서현패션 2
 
0.8%
㈜시화 2
 
0.8%
㈜한국유닉스 2
 
0.8%
㈜성철사 1
 
0.4%
동현테크 1
 
0.4%
㈜서광시스템 1
 
0.4%
비알테크놀로지㈜ 1
 
0.4%
Other values (227) 227
91.9%
2023-12-12T13:06:09.172512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 132
 
9.1%
스 64
 
4.4%
이 54
 
3.7%
주 36
 
2.5%
( 35
 
2.4%
) 35
 
2.4%
에 32
 
2.2%
아 29
 
2.0%
크 25
 
1.7%
지 22
 
1.5%
Other values (246) 983
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1209
83.6%
Other Symbol 132
 
9.1%
Open Punctuation 35
 
2.4%
Close Punctuation 35
 
2.4%
Uppercase Letter 21
 
1.5%
Space Separator 13
 
0.9%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 64
 
5.3%
이 54
 
4.5%
주 36
 
3.0%
에 32
 
2.6%
아 29
 
2.4%
크 25
 
2.1%
지 22
 
1.8%
씨 20
 
1.7%
트 19
 
1.6%
사 18
 
1.5%
Other values (232) 890
73.6%
Uppercase Letter
ValueCountFrequency (%)
D 5
23.8%
S 4
19.0%
L 3
14.3%
E 3
14.3%
C 2
 
9.5%
J 1
 
4.8%
T 1
 
4.8%
O 1
 
4.8%
I 1
 
4.8%
Other Symbol
ValueCountFrequency (%)
㈜ 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1341
92.7%
Common 85
 
5.9%
Latin 21
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 132
 
9.8%
스 64
 
4.8%
이 54
 
4.0%
주 36
 
2.7%
에 32
 
2.4%
아 29
 
2.2%
크 25
 
1.9%
지 22
 
1.6%
씨 20
 
1.5%
트 19
 
1.4%
Other values (233) 908
67.7%
Latin
ValueCountFrequency (%)
D 5
23.8%
S 4
19.0%
L 3
14.3%
E 3
14.3%
C 2
 
9.5%
J 1
 
4.8%
T 1
 
4.8%
O 1
 
4.8%
I 1
 
4.8%
Common
ValueCountFrequency (%)
( 35
41.2%
) 35
41.2%
13
 
15.3%
& 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1209
83.6%
None 132
 
9.1%
ASCII 106
 
7.3%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 132
100.0%
Hangul
ValueCountFrequency (%)
스 64
 
5.3%
이 54
 
4.5%
주 36
 
3.0%
에 32
 
2.6%
아 29
 
2.4%
크 25
 
2.1%
지 22
 
1.8%
씨 20
 
1.7%
트 19
 
1.6%
사 18
 
1.5%
Other values (232) 890
73.6%
ASCII
ValueCountFrequency (%)
( 35
33.0%
) 35
33.0%
13
 
12.3%
D 5
 
4.7%
S 4
 
3.8%
L 3
 
2.8%
E 3
 
2.8%
C 2
 
1.9%
& 2
 
1.9%
J 1
 
0.9%
Other values (3) 3
 
2.8%

대표 업종
Text

Distinct121
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T13:06:09.558774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length25
Mean length14.208511
Min length4

Characters and Unicode

Total characters3339
Distinct characters198
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)35.3%

Sample

1st row기타가정용전기기기제조업
2nd row도금, 착색 및 기타 표면처리강재 제조업
3rd row화학섬유 방적업
4th row치약, 비누 및 기타 세제 제조업
5th row무기 및 총포탄 제조업
ValueCountFrequency (%)
제조업 201
23.2%
및 81
 
9.3%
기타 68
 
7.8%
그외 30
 
3.5%
통신장비 16
 
1.8%
전자부품 15
 
1.7%
방송장비 12
 
1.4%
기기 10
 
1.2%
조명장치 10
 
1.2%
무선 10
 
1.2%
Other values (199) 414
47.8%
2023-12-12T13:06:10.134393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
633
19.0%
제 282
 
8.4%
기 254
 
7.6%
업 252
 
7.5%
조 251
 
7.5%
및 90
 
2.7%
타 84
 
2.5%
장 80
 
2.4%
용 70
 
2.1%
전 61
 
1.8%
Other values (188) 1282
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2667
79.9%
Space Separator 633
 
19.0%
Other Punctuation 38
 
1.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 282
 
10.6%
기 254
 
9.5%
업 252
 
9.4%
조 251
 
9.4%
및 90
 
3.4%
타 84
 
3.1%
장 80
 
3.0%
용 70
 
2.6%
전 61
 
2.3%
비 58
 
2.2%
Other values (184) 1185
44.4%
Other Punctuation
ValueCountFrequency (%)
, 37
97.4%
· 1
 
2.6%
Space Separator
ValueCountFrequency (%)
633
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2667
79.9%
Common 672
 
20.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 282
 
10.6%
기 254
 
9.5%
업 252
 
9.4%
조 251
 
9.4%
및 90
 
3.4%
타 84
 
3.1%
장 80
 
3.0%
용 70
 
2.6%
전 61
 
2.3%
비 58
 
2.2%
Other values (184) 1185
44.4%
Common
ValueCountFrequency (%)
633
94.2%
, 37
 
5.5%
1 1
 
0.1%
· 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2667
79.9%
ASCII 671
 
20.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
633
94.3%
, 37
 
5.5%
1 1
 
0.1%
Hangul
ValueCountFrequency (%)
제 282
 
10.6%
기 254
 
9.5%
업 252
 
9.4%
조 251
 
9.4%
및 90
 
3.4%
타 84
 
3.1%
장 80
 
3.0%
용 70
 
2.6%
전 61
 
2.3%
비 58
 
2.2%
Other values (184) 1185
44.4%
None
ValueCountFrequency (%)
· 1
100.0%

생산품
Text

Distinct191
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T13:06:10.553429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length6.1276596
Min length2

Characters and Unicode

Total characters1440
Distinct characters267
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

Unique167 ?
Unique (%)71.1%

Sample

1st row가스렌지,로터리히터,펌프
2nd row자동차부품 도장된 제품
3rd row방적사
4th row특수미용비누,호텔용비누
5th row소구경탄
ValueCountFrequency (%)
및 10
 
3.3%
전자부품 8
 
2.7%
통신장비 5
 
1.7%
의류 5
 
1.7%
등 5
 
1.7%
방송장비 5
 
1.7%
외 4
 
1.3%
led조명 4
 
1.3%
cctv 3
 
1.0%
제어장치 3
 
1.0%
Other values (215) 248
82.7%
2023-12-12T13:06:11.257636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 97
 
6.7%
66
 
4.6%
장 49
 
3.4%
제 38
 
2.6%
자 38
 
2.6%
, 33
 
2.3%
전 30
 
2.1%
비 30
 
2.1%
조 28
 
1.9%
품 26
 
1.8%
Other values (257) 1005
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1284
89.2%
Space Separator 66
 
4.6%
Uppercase Letter 40
 
2.8%
Other Punctuation 35
 
2.4%
Lowercase Letter 6
 
0.4%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 97
 
7.6%
장 49
 
3.8%
제 38
 
3.0%
자 38
 
3.0%
전 30
 
2.3%
비 30
 
2.3%
조 28
 
2.2%
품 26
 
2.0%
정 25
 
1.9%
용 23
 
1.8%
Other values (236) 900
70.1%
Uppercase Letter
ValueCountFrequency (%)
C 8
20.0%
D 6
15.0%
E 5
12.5%
L 5
12.5%
T 4
10.0%
V 3
 
7.5%
G 2
 
5.0%
P 2
 
5.0%
S 2
 
5.0%
I 1
 
2.5%
Other values (2) 2
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
c 3
50.0%
t 2
33.3%
v 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 33
94.3%
. 2
 
5.7%
Space Separator
ValueCountFrequency (%)
66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1284
89.2%
Common 110
 
7.6%
Latin 46
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 97
 
7.6%
장 49
 
3.8%
제 38
 
3.0%
자 38
 
3.0%
전 30
 
2.3%
비 30
 
2.3%
조 28
 
2.2%
품 26
 
2.0%
정 25
 
1.9%
용 23
 
1.8%
Other values (236) 900
70.1%
Latin
ValueCountFrequency (%)
C 8
17.4%
D 6
13.0%
E 5
10.9%
L 5
10.9%
T 4
8.7%
c 3
 
6.5%
V 3
 
6.5%
t 2
 
4.3%
G 2
 
4.3%
P 2
 
4.3%
Other values (5) 6
13.0%
Common
ValueCountFrequency (%)
66
60.0%
, 33
30.0%
( 4
 
3.6%
) 4
 
3.6%
. 2
 
1.8%
3 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1284
89.2%
ASCII 156
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 97
 
7.6%
장 49
 
3.8%
제 38
 
3.0%
자 38
 
3.0%
전 30
 
2.3%
비 30
 
2.3%
조 28
 
2.2%
품 26
 
2.0%
정 25
 
1.9%
용 23
 
1.8%
Other values (236) 900
70.1%
ASCII
ValueCountFrequency (%)
66
42.3%
, 33
21.2%
C 8
 
5.1%
D 6
 
3.8%
E 5
 
3.2%
L 5
 
3.2%
T 4
 
2.6%
( 4
 
2.6%
) 4
 
2.6%
c 3
 
1.9%
Other values (11) 18
 
11.5%

소재지
Text

Distinct222
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2023-12-12T13:06:11.584833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length28.293617
Min length13

Characters and Unicode

Total characters6649
Distinct characters129
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

Unique210 ?
Unique (%)89.4%

Sample

1st row해운대구 반여로41번길 36(반여동)
2nd row해운대구 삼어로 172(반여동)
3rd row해운대구 선수촌로 202-13(반여동)
4th row해운대구 삼어로91번길 32(반여동)
5th row해운대구 선수촌로 230(반여동)
ValueCountFrequency (%)
해운대구 227
25.1%
센텀중앙로 45
 
5.0%
센텀동로 28
 
3.1%
반송로513번길 24
 
2.7%
60 23
 
2.5%
센텀북대로 22
 
2.4%
a동 16
 
1.8%
97 16
 
1.8%
99 15
 
1.7%
66-47 10
 
1.1%
Other values (330) 478
52.9%
2023-12-12T13:06:12.155622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
670
 
10.1%
, 304
 
4.6%
대 303
 
4.6%
동 290
 
4.4%
1 278
 
4.2%
해 242
 
3.6%
운 242
 
3.6%
로 234
 
3.5%
( 228
 
3.4%
) 228
 
3.4%
Other values (119) 3630
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3685
55.4%
Decimal Number 1412
 
21.2%
Space Separator 670
 
10.1%
Other Punctuation 305
 
4.6%
Open Punctuation 228
 
3.4%
Close Punctuation 228
 
3.4%
Uppercase Letter 48
 
0.7%
Dash Punctuation 47
 
0.7%
Lowercase Letter 15
 
0.2%
Math Symbol 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 303
 
8.2%
동 290
 
7.9%
해 242
 
6.6%
운 242
 
6.6%
로 234
 
6.4%
구 228
 
6.2%
센 223
 
6.1%
텀 221
 
6.0%
호 160
 
4.3%
송 159
 
4.3%
Other values (90) 1383
37.5%
Decimal Number
ValueCountFrequency (%)
1 278
19.7%
0 219
15.5%
6 147
10.4%
2 142
10.1%
3 142
10.1%
5 122
8.6%
7 107
 
7.6%
9 97
 
6.9%
4 88
 
6.2%
8 70
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
A 18
37.5%
B 11
22.9%
S 5
 
10.4%
H 5
 
10.4%
N 4
 
8.3%
T 2
 
4.2%
K 2
 
4.2%
I 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 8
53.3%
n 4
26.7%
k 2
 
13.3%
b 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 304
99.7%
* 1
 
0.3%
Space Separator
ValueCountFrequency (%)
670
100.0%
Open Punctuation
ValueCountFrequency (%)
( 228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3685
55.4%
Common 2901
43.6%
Latin 63
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 303
 
8.2%
동 290
 
7.9%
해 242
 
6.6%
운 242
 
6.6%
로 234
 
6.4%
구 228
 
6.2%
센 223
 
6.1%
텀 221
 
6.0%
호 160
 
4.3%
송 159
 
4.3%
Other values (90) 1383
37.5%
Common
ValueCountFrequency (%)
670
23.1%
, 304
10.5%
1 278
9.6%
( 228
 
7.9%
) 228
 
7.9%
0 219
 
7.5%
6 147
 
5.1%
2 142
 
4.9%
3 142
 
4.9%
5 122
 
4.2%
Other values (7) 421
14.5%
Latin
ValueCountFrequency (%)
A 18
28.6%
B 11
17.5%
e 8
12.7%
S 5
 
7.9%
H 5
 
7.9%
n 4
 
6.3%
N 4
 
6.3%
T 2
 
3.2%
K 2
 
3.2%
k 2
 
3.2%
Other values (2) 2
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3685
55.4%
ASCII 2964
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
670
22.6%
, 304
10.3%
1 278
9.4%
( 228
 
7.7%
) 228
 
7.7%
0 219
 
7.4%
6 147
 
5.0%
2 142
 
4.8%
3 142
 
4.8%
5 122
 
4.1%
Other values (19) 484
16.3%
Hangul
ValueCountFrequency (%)
대 303
 
8.2%
동 290
 
7.9%
해 242
 
6.6%
운 242
 
6.6%
로 234
 
6.4%
구 228
 
6.2%
센 223
 
6.1%
텀 221
 
6.0%
호 160
 
4.3%
송 159
 
4.3%
Other values (90) 1383
37.5%

Interactions

2023-12-12T13:06:07.687339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T13:06:07.846750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:06:07.989311image/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

연번업체명대표 업종생산품소재지
01㈜성철사기타가정용전기기기제조업가스렌지,로터리히터,펌프해운대구 반여로41번길 36(반여동)
12광명사도금, 착색 및 기타 표면처리강재 제조업자동차부품 도장된 제품해운대구 삼어로 172(반여동)
23태광산업㈜반여공장화학섬유 방적업방적사해운대구 선수촌로 202-13(반여동)
34신미산업치약, 비누 및 기타 세제 제조업특수미용비누,호텔용비누해운대구 삼어로91번길 32(반여동)
45(주)풍산부산사업장무기 및 총포탄 제조업소구경탄해운대구 선수촌로 230(반여동)
56(주)풍산홀딩스 부산사업장금속열처리업기계,공구해운대구 선수촌로 230(반여동)
67영화고분자기타 기계·장비 조립용 플라스틱제품 제조업가스켓류,오일링류해운대구 삼어로 177-30(반여동)
78삼영몰드주형 및 금형 제조업금형,자동차부품(다이캐스팅)해운대구 삼어로91번길 68-27(반여동)
89(주)대흥기업교통 신호장치 제조업도로교통표지,교통신호등해운대구 해운대로 1138(송정동)
910영림전자그외 기타 전자부품 제조업전자부품해운대구 재송1로46번길 45(재송동)
연번업체명대표 업종생산품소재지
225226(주)엠엘에스인쇄회로기판용 적층판 제조업전자출판해운대구 센텀북대로60, 1508호(재송동, 센텀아이에스타워)
226227주식회사 코비스기타 전자부품 제조업슬립링, 스위치어셈블리해운대구 센텀중앙로 97, A동1601,B401호(재송동, 센텀스카이비즈)
227228동아티지기타 인쇄업모형제작해운대구 센텀북대로 60, 810호(재송동, 센텀아이에스타워)
228229㈜쓰리에스테크주형 및 금형 제조업외드론해운대구 센텀중앙로97, A동 2405호(재송동, 센텀스카이비즈)
229230㈜에그기기용 자동측정 및 제어장치 제조업결빙 감지센서센텀중앙로 97, A동 1306호(재송동, 센텀스카이비즈)
230231㈜아이에스엠방송장비 제조업CCTV 시스템센텀동로 71, 707호(우동, 벽산이센텀클래스원2차)
231232㈜아이에스엠방송장비 제조업CCTV 시스템센텀중앙로 90, B306호(재송동, 큐비이센텀)
232233㈜한국티씨라디오, 녹음 및 재생 기기 제조업외구내방송 장치센텀중앙로 90, 1607호(재송동, 큐비이센텀)
233234다인컴즈경인쇄업프린터 인쇄센텀중앙로 97, A동 308호(재송동, 센텀스카이비즈)
234235㈜플러크그 외 기타 봉제의복 제조업의복센템중앙로 97, A동 A-B301호(재송동, 센텀스카이비즈)