Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells836
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text4

Dataset

Description부산광역시_제조업공장등록현황_20231129
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15005387

Alerts

전화번호 has 665 (6.7%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-30 09:12:45.938946
Analysis finished2024-03-30 09:12:50.432317
Duration4.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5621.7135
Minimum1
Maximum11249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-30T09:12:50.688367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile564.95
Q12803.75
median5621.5
Q38426.25
95-th percentile10675.05
Maximum11249
Range11248
Interquartile range (IQR)5622.5

Descriptive statistics

Standard deviation3245.9683
Coefficient of variation (CV)0.57739839
Kurtosis-1.1991101
Mean5621.7135
Median Absolute Deviation (MAD)2811
Skewness-0.00064052085
Sum56217135
Variance10536310
MonotonicityNot monotonic
2024-03-30T09:12:51.397975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4016 1
 
< 0.1%
6923 1
 
< 0.1%
7322 1
 
< 0.1%
5117 1
 
< 0.1%
5891 1
 
< 0.1%
3987 1
 
< 0.1%
6352 1
 
< 0.1%
1470 1
 
< 0.1%
827 1
 
< 0.1%
4434 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
11249 1
< 0.1%
11248 1
< 0.1%
11247 1
< 0.1%
11246 1
< 0.1%
11245 1
< 0.1%
11244 1
< 0.1%
11243 1
< 0.1%
11242 1
< 0.1%
11241 1
< 0.1%
11240 1
< 0.1%
Distinct9206
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-30T09:12:52.193429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length6.9141
Min length1

Characters and Unicode

Total characters69141
Distinct characters744
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

Unique8561 ?
Unique (%)85.6%

Sample

1st row건설중기정비
2nd row(주)천일상사
3rd row엔라이트비전
4th row백산HMC
5th row진영테크놀
ValueCountFrequency (%)
주식회사 751
 
6.7%
제2공장 21
 
0.2%
부산공장 21
 
0.2%
2공장 18
 
0.2%
부산지점 16
 
0.1%
12
 
0.1%
사단법인 11
 
0.1%
유한회사 10
 
0.1%
tech 9
 
0.1%
코리아 9
 
0.1%
Other values (9291) 10317
92.2%
2024-03-30T09:12:53.774321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5473
 
7.9%
) 4660
 
6.7%
( 4653
 
6.7%
1845
 
2.7%
1693
 
2.4%
1634
 
2.4%
1550
 
2.2%
1423
 
2.1%
1167
 
1.7%
991
 
1.4%
Other values (734) 44052
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56273
81.4%
Close Punctuation 4660
 
6.7%
Open Punctuation 4653
 
6.7%
Space Separator 1693
 
2.4%
Uppercase Letter 1421
 
2.1%
Other Punctuation 197
 
0.3%
Lowercase Letter 115
 
0.2%
Decimal Number 107
 
0.2%
Dash Punctuation 13
 
< 0.1%
Other Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5473
 
9.7%
1845
 
3.3%
1634
 
2.9%
1550
 
2.8%
1423
 
2.5%
1167
 
2.1%
991
 
1.8%
980
 
1.7%
970
 
1.7%
965
 
1.7%
Other values (668) 39275
69.8%
Uppercase Letter
ValueCountFrequency (%)
E 176
12.4%
S 126
 
8.9%
T 116
 
8.2%
N 113
 
8.0%
G 111
 
7.8%
C 108
 
7.6%
M 74
 
5.2%
K 59
 
4.2%
H 59
 
4.2%
D 59
 
4.2%
Other values (16) 420
29.6%
Lowercase Letter
ValueCountFrequency (%)
e 17
14.8%
t 12
10.4%
o 12
10.4%
n 11
9.6%
i 8
 
7.0%
a 8
 
7.0%
c 7
 
6.1%
d 6
 
5.2%
m 5
 
4.3%
h 5
 
4.3%
Other values (10) 24
20.9%
Decimal Number
ValueCountFrequency (%)
2 75
70.1%
1 16
 
15.0%
3 9
 
8.4%
4 2
 
1.9%
5 2
 
1.9%
9 1
 
0.9%
0 1
 
0.9%
7 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 125
63.5%
& 51
25.9%
, 12
 
6.1%
/ 4
 
2.0%
· 3
 
1.5%
' 1
 
0.5%
# 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 4660
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4653
100.0%
Space Separator
ValueCountFrequency (%)
1693
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Symbol
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56282
81.4%
Common 11323
 
16.4%
Latin 1536
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5473
 
9.7%
1845
 
3.3%
1634
 
2.9%
1550
 
2.8%
1423
 
2.5%
1167
 
2.1%
991
 
1.8%
980
 
1.7%
970
 
1.7%
965
 
1.7%
Other values (669) 39284
69.8%
Latin
ValueCountFrequency (%)
E 176
 
11.5%
S 126
 
8.2%
T 116
 
7.6%
N 113
 
7.4%
G 111
 
7.2%
C 108
 
7.0%
M 74
 
4.8%
K 59
 
3.8%
H 59
 
3.8%
D 59
 
3.8%
Other values (36) 535
34.8%
Common
ValueCountFrequency (%)
) 4660
41.2%
( 4653
41.1%
1693
 
15.0%
. 125
 
1.1%
2 75
 
0.7%
& 51
 
0.5%
1 16
 
0.1%
- 13
 
0.1%
, 12
 
0.1%
3 9
 
0.1%
Other values (9) 16
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56273
81.4%
ASCII 12856
 
18.6%
None 12
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5473
 
9.7%
1845
 
3.3%
1634
 
2.9%
1550
 
2.8%
1423
 
2.5%
1167
 
2.1%
991
 
1.8%
980
 
1.7%
970
 
1.7%
965
 
1.7%
Other values (668) 39275
69.8%
ASCII
ValueCountFrequency (%)
) 4660
36.2%
( 4653
36.2%
1693
 
13.2%
E 176
 
1.4%
S 126
 
1.0%
. 125
 
1.0%
T 116
 
0.9%
N 113
 
0.9%
G 111
 
0.9%
C 108
 
0.8%
Other values (54) 975
 
7.6%
None
ValueCountFrequency (%)
9
75.0%
· 3
 
25.0%
Distinct8823
Distinct (%)88.9%
Missing77
Missing (%)0.8%
Memory size156.2 KiB
2024-03-30T09:12:54.868559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length60
Mean length28.866976
Min length7

Characters and Unicode

Total characters286447
Distinct characters541
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7942 ?
Unique (%)80.0%

Sample

1st row부산광역시 사하구 장평로 96 (장림동)
2nd row부산광역시 강서구 낙동남로511번길 26 (녹산동)
3rd row부산광역시 해운대구 해운대로483번길 15-2 (우동)
4th row부산광역시 사상구 가야대로 215 (주례동, 백산유압산기)
5th row부산광역시 강서구 녹산산업대로 117-13 (송정동)
ValueCountFrequency (%)
부산광역시 9945
 
18.9%
강서구 4063
 
7.7%
사상구 1773
 
3.4%
사하구 1285
 
2.4%
송정동 1103
 
2.1%
기장군 904
 
1.7%
영도구 562
 
1.1%
장림동 472
 
0.9%
대저1동 401
 
0.8%
학장동 393
 
0.7%
Other values (6287) 31808
60.3%
2024-03-30T09:12:56.487503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43034
 
15.0%
14782
 
5.2%
11276
 
3.9%
10449
 
3.6%
10096
 
3.5%
10057
 
3.5%
9950
 
3.5%
1 9672
 
3.4%
( 9613
 
3.4%
) 9612
 
3.4%
Other values (531) 147906
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172094
60.1%
Decimal Number 46645
 
16.3%
Space Separator 43034
 
15.0%
Open Punctuation 9613
 
3.4%
Close Punctuation 9612
 
3.4%
Other Punctuation 2864
 
1.0%
Dash Punctuation 2042
 
0.7%
Uppercase Letter 477
 
0.2%
Lowercase Letter 51
 
< 0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14782
 
8.6%
11276
 
6.6%
10449
 
6.1%
10096
 
5.9%
10057
 
5.8%
9950
 
5.8%
9428
 
5.5%
9222
 
5.4%
5755
 
3.3%
5306
 
3.1%
Other values (467) 75773
44.0%
Uppercase Letter
ValueCountFrequency (%)
B 121
25.4%
A 71
14.9%
E 33
 
6.9%
N 28
 
5.9%
T 25
 
5.2%
S 24
 
5.0%
C 24
 
5.0%
O 21
 
4.4%
I 16
 
3.4%
G 14
 
2.9%
Other values (13) 100
21.0%
Lowercase Letter
ValueCountFrequency (%)
e 12
23.5%
o 7
13.7%
i 6
11.8%
t 4
 
7.8%
n 4
 
7.8%
m 3
 
5.9%
c 3
 
5.9%
b 2
 
3.9%
s 2
 
3.9%
a 2
 
3.9%
Other values (5) 6
11.8%
Decimal Number
ValueCountFrequency (%)
1 9672
20.7%
2 7165
15.4%
3 5838
12.5%
4 3995
8.6%
5 3970
8.5%
6 3769
 
8.1%
7 3391
 
7.3%
0 3374
 
7.2%
9 2771
 
5.9%
8 2697
 
5.8%
Other values (3) 3
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 2822
98.5%
. 21
 
0.7%
· 7
 
0.2%
/ 7
 
0.2%
& 5
 
0.2%
: 1
 
< 0.1%
; 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
43034
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9613
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9612
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2042
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172095
60.1%
Common 113824
39.7%
Latin 528
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14782
 
8.6%
11276
 
6.6%
10449
 
6.1%
10096
 
5.9%
10057
 
5.8%
9950
 
5.8%
9428
 
5.5%
9222
 
5.4%
5755
 
3.3%
5306
 
3.1%
Other values (468) 75774
44.0%
Latin
ValueCountFrequency (%)
B 121
22.9%
A 71
13.4%
E 33
 
6.2%
N 28
 
5.3%
T 25
 
4.7%
S 24
 
4.5%
C 24
 
4.5%
O 21
 
4.0%
I 16
 
3.0%
G 14
 
2.7%
Other values (28) 151
28.6%
Common
ValueCountFrequency (%)
43034
37.8%
1 9672
 
8.5%
( 9613
 
8.4%
) 9612
 
8.4%
2 7165
 
6.3%
3 5838
 
5.1%
4 3995
 
3.5%
5 3970
 
3.5%
6 3769
 
3.3%
7 3391
 
3.0%
Other values (15) 13765
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172094
60.1%
ASCII 114342
39.9%
None 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43034
37.6%
1 9672
 
8.5%
( 9613
 
8.4%
) 9612
 
8.4%
2 7165
 
6.3%
3 5838
 
5.1%
4 3995
 
3.5%
5 3970
 
3.5%
6 3769
 
3.3%
7 3391
 
3.0%
Other values (49) 14283
 
12.5%
Hangul
ValueCountFrequency (%)
14782
 
8.6%
11276
 
6.6%
10449
 
6.1%
10096
 
5.9%
10057
 
5.8%
9950
 
5.8%
9428
 
5.5%
9222
 
5.4%
5755
 
3.3%
5306
 
3.1%
Other values (467) 75773
44.0%
None
ValueCountFrequency (%)
· 7
63.6%
1
 
9.1%
1
 
9.1%
1
 
9.1%
1
 
9.1%
Distinct1718
Distinct (%)17.3%
Missing94
Missing (%)0.9%
Memory size156.2 KiB
2024-03-30T09:12:57.388631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length16.457803
Min length3

Characters and Unicode

Total characters163031
Distinct characters354
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique829 ?
Unique (%)8.4%

Sample

1st row건설 및 채광용 기계장비 제조업
2nd row기타 신발 제조업
3rd row금속 표시판 제조업 외 1종
4th row기타 가공 공작기계 제조업
5th row운송장비 조립용 플라스틱제품 제조업 외 1종
ValueCountFrequency (%)
제조업 8387
 
16.5%
5684
 
11.2%
4003
 
7.9%
기타 2500
 
4.9%
1종 1931
 
3.8%
1505
 
3.0%
부분품 833
 
1.6%
금속 815
 
1.6%
선박 781
 
1.5%
구성 766
 
1.5%
Other values (772) 23687
46.5%
2024-03-30T09:12:58.844039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40992
25.1%
10366
 
6.4%
10208
 
6.3%
9554
 
5.9%
5851
 
3.6%
5745
 
3.5%
4239
 
2.6%
4007
 
2.5%
3476
 
2.1%
2518
 
1.5%
Other values (344) 66075
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116175
71.3%
Space Separator 40992
 
25.1%
Decimal Number 4700
 
2.9%
Other Punctuation 1084
 
0.7%
Open Punctuation 40
 
< 0.1%
Close Punctuation 40
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10366
 
8.9%
10208
 
8.8%
9554
 
8.2%
5851
 
5.0%
5745
 
4.9%
4239
 
3.6%
4007
 
3.4%
3476
 
3.0%
2518
 
2.2%
2263
 
1.9%
Other values (329) 57948
49.9%
Decimal Number
ValueCountFrequency (%)
1 2369
50.4%
2 808
 
17.2%
3 566
 
12.0%
4 326
 
6.9%
5 205
 
4.4%
6 130
 
2.8%
7 92
 
2.0%
8 78
 
1.7%
9 73
 
1.6%
0 53
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 1069
98.6%
. 15
 
1.4%
Space Separator
ValueCountFrequency (%)
40992
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116175
71.3%
Common 46856
28.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10366
 
8.9%
10208
 
8.8%
9554
 
8.2%
5851
 
5.0%
5745
 
4.9%
4239
 
3.6%
4007
 
3.4%
3476
 
3.0%
2518
 
2.2%
2263
 
1.9%
Other values (329) 57948
49.9%
Common
ValueCountFrequency (%)
40992
87.5%
1 2369
 
5.1%
, 1069
 
2.3%
2 808
 
1.7%
3 566
 
1.2%
4 326
 
0.7%
5 205
 
0.4%
6 130
 
0.3%
7 92
 
0.2%
8 78
 
0.2%
Other values (5) 221
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116153
71.2%
ASCII 46856
28.7%
Compat Jamo 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40992
87.5%
1 2369
 
5.1%
, 1069
 
2.3%
2 808
 
1.7%
3 566
 
1.2%
4 326
 
0.7%
5 205
 
0.4%
6 130
 
0.3%
7 92
 
0.2%
8 78
 
0.2%
Other values (5) 221
 
0.5%
Hangul
ValueCountFrequency (%)
10366
 
8.9%
10208
 
8.8%
9554
 
8.2%
5851
 
5.0%
5745
 
4.9%
4239
 
3.6%
4007
 
3.4%
3476
 
3.0%
2518
 
2.2%
2263
 
1.9%
Other values (328) 57926
49.9%
Compat Jamo
ValueCountFrequency (%)
22
100.0%

전화번호
Text

MISSING 

Distinct8538
Distinct (%)91.5%
Missing665
Missing (%)6.7%
Memory size156.2 KiB
2024-03-30T09:12:59.713137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.013498
Min length7

Characters and Unicode

Total characters112146
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7866 ?
Unique (%)84.3%

Sample

1st row051-266-7773
2nd row051-312-4352
3rd row051-742-0611
4th row051-312-5678
5th row051-973-2020
ValueCountFrequency (%)
051-941-2931 8
 
0.1%
051-831-0043 6
 
0.1%
051-831-7474 5
 
0.1%
051-330-0200 5
 
0.1%
051-831-3232 5
 
0.1%
051-328-2400 5
 
0.1%
051-316-1232 4
 
< 0.1%
051-262-3510 4
 
< 0.1%
051-831-8060 4
 
< 0.1%
051-852-9991 4
 
< 0.1%
Other values (8528) 9285
99.5%
2024-03-30T09:13:01.218304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 18636
16.6%
1 17520
15.6%
0 16794
15.0%
5 14560
13.0%
3 8532
7.6%
2 8230
7.3%
7 6486
 
5.8%
8 5611
 
5.0%
4 5545
 
4.9%
6 5475
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93510
83.4%
Dash Punctuation 18636
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17520
18.7%
0 16794
18.0%
5 14560
15.6%
3 8532
9.1%
2 8230
8.8%
7 6486
 
6.9%
8 5611
 
6.0%
4 5545
 
5.9%
6 5475
 
5.9%
9 4757
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 18636
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112146
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 18636
16.6%
1 17520
15.6%
0 16794
15.0%
5 14560
13.0%
3 8532
7.6%
2 8230
7.3%
7 6486
 
5.8%
8 5611
 
5.0%
4 5545
 
4.9%
6 5475
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112146
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 18636
16.6%
1 17520
15.6%
0 16794
15.0%
5 14560
13.0%
3 8532
7.6%
2 8230
7.3%
7 6486
 
5.8%
8 5611
 
5.0%
4 5545
 
4.9%
6 5475
 
4.9%

Interactions

2024-03-30T09:12:48.736610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-30T09:12:49.170991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T09:12:49.807258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-03-30T09:12:50.151836image/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

순번회사명공장대표주소업종명전화번호
40154016건설중기정비부산광역시 사하구 장평로 96 (장림동)건설 및 채광용 기계장비 제조업051-266-7773
29532954(주)천일상사부산광역시 강서구 낙동남로511번길 26 (녹산동)기타 신발 제조업051-312-4352
78907891엔라이트비전부산광역시 해운대구 해운대로483번길 15-2 (우동)금속 표시판 제조업 외 1종051-742-0611
60836084백산HMC부산광역시 사상구 가야대로 215 (주례동, 백산유압산기)기타 가공 공작기계 제조업051-312-5678
98529853진영테크놀부산광역시 강서구 녹산산업대로 117-13 (송정동)운송장비 조립용 플라스틱제품 제조업 외 1종051-973-2020
73497350신도플라텍(주) 2공장부산광역시 사하구 보덕포1길 81(장림동)자동차 엔진용 신품 부품 제조업051-832-0235
80328033영일기계부산광역시 사상구 새벽로77번길 27 (학장동, 영일기계)그 외 기타 특수목적용 기계 제조업 외 1종051-328-9215
92639264주식회사 성일하우징 제2공장부산광역시 영도구 해양로135번길 10 (청학동)기타 석제품 제조업051-417-7626
64466447삼경이엔지부산광역시 영도구 해양로 221-3 (동삼동)선박 구성 부분품 제조업051-405-9661
87548755일흥기공부산광역시 사하구 다산로 169 (다대동)선박 구성 부분품 제조업051-265-8205
순번회사명공장대표주소업종명전화번호
93849385주식회사 에이치제이현진부산광역시 강서구 미음국제5로나길 22 (미음동)기기용 자동측정 및 제어장치 제조업 외 28종051-923-2385
69216922성신스텐(주)부산광역시 기장군 정관면 예림리 335-1번지기타 1차 비철금속 제조업<NA>
77507751에스앤제이클린텍(주)부산광역시 강서구 맥도강변길 194 (대저2동)기타 가정용 전기기기 제조업051-724-9000
20222023(주)에스에이치이부산광역시 강서구 화전산단2로 69-8 (화전동)배전반 및 전기 자동제어반 제조업051-261-8924
49884989대우정공부산광역시 사하구 장평로190번길 17 (장림동)폴리스티렌 발포 성형제품 제조업 외 5종051-261-7913
12161217(주)부산해사랑부산광역시 사하구 을숙도대로 717, 3층, 4층 (구평동)기타 수산동물 가공 및 저장 처리업 외 3종051-262-1601
19371938(주)아코아디에스부산광역시 해운대구 센텀북대로 60, 센텀is타워 801호 (재송동)간판 및 광고물 제조업 외 1종051-780-8200
836837(주)동화테크부산광역시 강서구 녹산산업북로313번길 32 (송정동)증류기, 열교환기 및 가스발생기 제조업051-899-9600
33583359(주)포인트닉스부산광역시 북구 효열로 7, 대영인더스빌 B-101호 (금곡동)치과용 기기 제조업 외 1종051-363-3201
36973698(주)홍산경금속부산광역시 사하구 장평로 232(신평동)수동식 식품 가공기기 및 금속 주방용기 제조업051-201-4178