Overview

Dataset statistics

Number of variables12
Number of observations638
Missing cells99
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory61.2 KiB
Average record size in memory98.2 B

Variable types

Numeric2
Text8
Categorical1
DateTime1

Dataset

Description부산광역시영도구_공장등록정보_20230817
Author부산광역시 영도구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15083264

Alerts

행정기관 has constant value ""Constant
전화번호 has 34 (5.3%) missing valuesMissing
팩스번호 has 61 (9.6%) missing valuesMissing
종업원수 is highly skewed (γ1 = 20.19768614)Skewed
순번 has unique valuesUnique
종업원수 has 21 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-10 16:09:41.120479
Analysis finished2023-12-10 16:09:42.932285
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct638
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean319.5
Minimum1
Maximum638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T01:09:43.008786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.85
Q1160.25
median319.5
Q3478.75
95-th percentile606.15
Maximum638
Range637
Interquartile range (IQR)318.5

Descriptive statistics

Standard deviation184.31902
Coefficient of variation (CV)0.57689833
Kurtosis-1.2
Mean319.5
Median Absolute Deviation (MAD)159.5
Skewness0
Sum203841
Variance33973.5
MonotonicityStrictly increasing
2023-12-11T01:09:43.171820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
430 1
 
0.2%
423 1
 
0.2%
424 1
 
0.2%
425 1
 
0.2%
426 1
 
0.2%
427 1
 
0.2%
428 1
 
0.2%
429 1
 
0.2%
431 1
 
0.2%
Other values (628) 628
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
638 1
0.2%
637 1
0.2%
636 1
0.2%
635 1
0.2%
634 1
0.2%
633 1
0.2%
632 1
0.2%
631 1
0.2%
630 1
0.2%
629 1
0.2%

회사명
Text

Distinct635
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T01:09:43.395927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.023511
Min length2

Characters and Unicode

Total characters4481
Distinct characters311
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

Unique632 ?
Unique (%)99.1%

Sample

1st row(주)BM
2nd row(주)HJ중공업
3rd row(주)거청
4th row(주)경인
5th row(주)경진스크류
ValueCountFrequency (%)
주식회사 64
 
8.7%
삼영이에스티 2
 
0.3%
칸토탈마린 2
 
0.3%
해양산업 2
 
0.3%
솔루션 2
 
0.3%
엔지니어링 2
 
0.3%
선진조선(주 2
 
0.3%
성일하우징 2
 
0.3%
주)씨넷 2
 
0.3%
대운선박써비스 2
 
0.3%
Other values (651) 652
88.8%
2023-12-11T01:09:43.801551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 260
 
5.8%
) 189
 
4.2%
( 189
 
4.2%
사 169
 
3.8%
업 127
 
2.8%
기 113
 
2.5%
이 103
 
2.3%
지 100
 
2.2%
엔 99
 
2.2%
98
 
2.2%
Other values (301) 3034
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3882
86.6%
Close Punctuation 189
 
4.2%
Open Punctuation 189
 
4.2%
Uppercase Letter 100
 
2.2%
Space Separator 98
 
2.2%
Lowercase Letter 10
 
0.2%
Other Punctuation 9
 
0.2%
Decimal Number 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 260
 
6.7%
사 169
 
4.4%
업 127
 
3.3%
기 113
 
2.9%
이 103
 
2.7%
지 100
 
2.6%
엔 99
 
2.6%
공 86
 
2.2%
스 85
 
2.2%
니 82
 
2.1%
Other values (267) 2658
68.5%
Uppercase Letter
ValueCountFrequency (%)
E 14
14.0%
N 10
10.0%
S 10
10.0%
C 8
 
8.0%
O 7
 
7.0%
G 7
 
7.0%
B 6
 
6.0%
R 5
 
5.0%
T 5
 
5.0%
I 5
 
5.0%
Other values (11) 23
23.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
30.0%
e 2
20.0%
g 2
20.0%
i 2
20.0%
r 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
& 2
 
22.2%
, 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 189
100.0%
Space Separator
ValueCountFrequency (%)
98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3882
86.6%
Common 489
 
10.9%
Latin 110
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 260
 
6.7%
사 169
 
4.4%
업 127
 
3.3%
기 113
 
2.9%
이 103
 
2.7%
지 100
 
2.6%
엔 99
 
2.6%
공 86
 
2.2%
스 85
 
2.2%
니 82
 
2.1%
Other values (267) 2658
68.5%
Latin
ValueCountFrequency (%)
E 14
12.7%
N 10
 
9.1%
S 10
 
9.1%
C 8
 
7.3%
O 7
 
6.4%
G 7
 
6.4%
B 6
 
5.5%
R 5
 
4.5%
T 5
 
4.5%
I 5
 
4.5%
Other values (16) 33
30.0%
Common
ValueCountFrequency (%)
) 189
38.7%
( 189
38.7%
98
20.0%
. 6
 
1.2%
2 2
 
0.4%
1 2
 
0.4%
& 2
 
0.4%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3882
86.6%
ASCII 599
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 260
 
6.7%
사 169
 
4.4%
업 127
 
3.3%
기 113
 
2.9%
이 103
 
2.7%
지 100
 
2.6%
엔 99
 
2.6%
공 86
 
2.2%
스 85
 
2.2%
니 82
 
2.1%
Other values (267) 2658
68.5%
ASCII
ValueCountFrequency (%)
) 189
31.6%
( 189
31.6%
98
16.4%
E 14
 
2.3%
N 10
 
1.7%
S 10
 
1.7%
C 8
 
1.3%
O 7
 
1.2%
G 7
 
1.2%
. 6
 
1.0%
Other values (24) 61
 
10.2%

대표자명
Text

Distinct612
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T01:09:44.134934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.1677116
Min length2

Characters and Unicode

Total characters2021
Distinct characters208
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique588 ?
Unique (%)92.2%

Sample

1st row김홍기
2nd row홍문기, 유상철
3rd row김청린
4th row서현순
5th row강성현
ValueCountFrequency (%)
1명 5
 
0.8%
강세영 3
 
0.5%
박문혁 3
 
0.5%
외 3
 
0.5%
황재우 2
 
0.3%
선윤기 2
 
0.3%
류영모 2
 
0.3%
박은채 2
 
0.3%
윤충원 2
 
0.3%
홍창수 2
 
0.3%
Other values (614) 630
96.0%
2023-12-11T01:09:44.755562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 149
 
7.4%
정 76
 
3.8%
이 69
 
3.4%
영 61
 
3.0%
박 53
 
2.6%
성 50
 
2.5%
수 41
 
2.0%
철 33
 
1.6%
현 33
 
1.6%
최 33
 
1.6%
Other values (198) 1423
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1962
97.1%
Uppercase Letter 20
 
1.0%
Space Separator 18
 
0.9%
Other Punctuation 12
 
0.6%
Decimal Number 7
 
0.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 149
 
7.6%
정 76
 
3.9%
이 69
 
3.5%
영 61
 
3.1%
박 53
 
2.7%
성 50
 
2.5%
수 41
 
2.1%
철 33
 
1.7%
현 33
 
1.7%
최 33
 
1.7%
Other values (179) 1364
69.5%
Uppercase Letter
ValueCountFrequency (%)
K 3
15.0%
I 3
15.0%
E 2
10.0%
O 2
10.0%
L 2
10.0%
R 1
 
5.0%
G 1
 
5.0%
V 1
 
5.0%
U 1
 
5.0%
B 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
1 6
85.7%
2 1
 
14.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1962
97.1%
Common 39
 
1.9%
Latin 20
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 149
 
7.6%
정 76
 
3.9%
이 69
 
3.5%
영 61
 
3.1%
박 53
 
2.7%
성 50
 
2.5%
수 41
 
2.1%
철 33
 
1.7%
현 33
 
1.7%
최 33
 
1.7%
Other values (179) 1364
69.5%
Latin
ValueCountFrequency (%)
K 3
15.0%
I 3
15.0%
E 2
10.0%
O 2
10.0%
L 2
10.0%
R 1
 
5.0%
G 1
 
5.0%
V 1
 
5.0%
U 1
 
5.0%
B 1
 
5.0%
Other values (3) 3
15.0%
Common
ValueCountFrequency (%)
18
46.2%
, 12
30.8%
1 6
 
15.4%
( 1
 
2.6%
) 1
 
2.6%
2 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1962
97.1%
ASCII 59
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 149
 
7.6%
정 76
 
3.9%
이 69
 
3.5%
영 61
 
3.1%
박 53
 
2.7%
성 50
 
2.5%
수 41
 
2.1%
철 33
 
1.7%
현 33
 
1.7%
최 33
 
1.7%
Other values (179) 1364
69.5%
ASCII
ValueCountFrequency (%)
18
30.5%
, 12
20.3%
1 6
 
10.2%
K 3
 
5.1%
I 3
 
5.1%
E 2
 
3.4%
O 2
 
3.4%
L 2
 
3.4%
R 1
 
1.7%
G 1
 
1.7%
Other values (9) 9
15.3%

행정기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
부산광역시 영도구
638 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 영도구
2nd row부산광역시 영도구
3rd row부산광역시 영도구
4th row부산광역시 영도구
5th row부산광역시 영도구

Common Values

ValueCountFrequency (%)
부산광역시 영도구 638
100.0%

Length

2023-12-11T01:09:44.931328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:09:45.033219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 638
50.0%
영도구 638
50.0%

도로명 주소
Text

Distinct548
Distinct (%)86.4%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2023-12-11T01:09:45.398119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length28.944795
Min length18

Characters and Unicode

Total characters18351
Distinct characters198
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

Unique480 ?
Unique (%)75.7%

Sample

1st row부산광역시 영도구 태종로 727, 한국해양대학교 창업보육센터508 (동삼동)
2nd row부산광역시 영도구 태종로 233, 외 2필지 (㈜HJ중공업)(봉래동5가)
3rd row부산광역시 영도구 해양로 125 (청학동, (주)거청) (총 6 필지) 외 5필지
4th row부산광역시 영도구 해양로 24-11 (청학동)
5th row부산광역시 영도구 대평로34번길 9-15 (대평동2가)
ValueCountFrequency (%)
부산광역시 634
18.6%
영도구 634
18.6%
청학동 170
 
5.0%
남항동3가 123
 
3.6%
해양로 84
 
2.5%
대평동2가 68
 
2.0%
대평동1가 54
 
1.6%
동삼동 50
 
1.5%
남항동2가 46
 
1.3%
남항서로 44
 
1.3%
Other values (530) 1503
44.1%
2023-12-11T01:09:46.035699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2777
 
15.1%
동 731
 
4.0%
영 673
 
3.7%
) 672
 
3.7%
( 672
 
3.7%
부 660
 
3.6%
산 658
 
3.6%
구 639
 
3.5%
도 638
 
3.5%
시 635
 
3.5%
Other values (188) 9596
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11136
60.7%
Space Separator 2777
 
15.1%
Decimal Number 2708
 
14.8%
Close Punctuation 672
 
3.7%
Open Punctuation 672
 
3.7%
Other Punctuation 203
 
1.1%
Dash Punctuation 152
 
0.8%
Uppercase Letter 30
 
0.2%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 731
 
6.6%
영 673
 
6.0%
부 660
 
5.9%
산 658
 
5.9%
구 639
 
5.7%
도 638
 
5.7%
시 635
 
5.7%
역 634
 
5.7%
광 634
 
5.7%
로 606
 
5.4%
Other values (157) 4628
41.6%
Uppercase Letter
ValueCountFrequency (%)
B 8
26.7%
A 5
16.7%
S 4
13.3%
D 3
 
10.0%
K 2
 
6.7%
J 1
 
3.3%
H 1
 
3.3%
M 1
 
3.3%
T 1
 
3.3%
E 1
 
3.3%
Other values (3) 3
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 606
22.4%
2 549
20.3%
3 401
14.8%
4 195
 
7.2%
5 190
 
7.0%
6 185
 
6.8%
9 170
 
6.3%
7 157
 
5.8%
8 136
 
5.0%
0 119
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 197
97.0%
. 4
 
2.0%
/ 2
 
1.0%
Space Separator
ValueCountFrequency (%)
2777
100.0%
Close Punctuation
ValueCountFrequency (%)
) 672
100.0%
Open Punctuation
ValueCountFrequency (%)
( 672
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11137
60.7%
Common 7184
39.1%
Latin 30
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 731
 
6.6%
영 673
 
6.0%
부 660
 
5.9%
산 658
 
5.9%
구 639
 
5.7%
도 638
 
5.7%
시 635
 
5.7%
역 634
 
5.7%
광 634
 
5.7%
로 606
 
5.4%
Other values (158) 4629
41.6%
Common
ValueCountFrequency (%)
2777
38.7%
) 672
 
9.4%
( 672
 
9.4%
1 606
 
8.4%
2 549
 
7.6%
3 401
 
5.6%
, 197
 
2.7%
4 195
 
2.7%
5 190
 
2.6%
6 185
 
2.6%
Other values (7) 740
 
10.3%
Latin
ValueCountFrequency (%)
B 8
26.7%
A 5
16.7%
S 4
13.3%
D 3
 
10.0%
K 2
 
6.7%
J 1
 
3.3%
H 1
 
3.3%
M 1
 
3.3%
T 1
 
3.3%
E 1
 
3.3%
Other values (3) 3
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11136
60.7%
ASCII 7214
39.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2777
38.5%
) 672
 
9.3%
( 672
 
9.3%
1 606
 
8.4%
2 549
 
7.6%
3 401
 
5.6%
, 197
 
2.7%
4 195
 
2.7%
5 190
 
2.6%
6 185
 
2.6%
Other values (20) 770
 
10.7%
Hangul
ValueCountFrequency (%)
동 731
 
6.6%
영 673
 
6.0%
부 660
 
5.9%
산 658
 
5.9%
구 639
 
5.7%
도 638
 
5.7%
시 635
 
5.7%
역 634
 
5.7%
광 634
 
5.7%
로 606
 
5.4%
Other values (157) 4628
41.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

지번 주소
Text

Distinct562
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T01:09:46.297661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length23.507837
Min length17

Characters and Unicode

Total characters14998
Distinct characters157
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

Unique505 ?
Unique (%)79.2%

Sample

1st row부산광역시 영도구 동삼동 1 번지 한국해양대학교 창업보육센터508
2nd row부산광역시 영도구 봉래동5가 3 외 2필지 (㈜HJ중공업)
3rd row부산광역시 영도구 청학동 1-35번지 외 5필지
4th row부산광역시 영도구 청학동 322-12번지
5th row부산광역시 영도구 대평동2가 192번지
ValueCountFrequency (%)
부산광역시 638
22.6%
영도구 638
22.6%
청학동 206
 
7.3%
남항동3가 130
 
4.6%
대평동2가 72
 
2.6%
동삼동 59
 
2.1%
대평동1가 58
 
2.1%
남항동2가 52
 
1.8%
외 45
 
1.6%
1필지 27
 
1.0%
Other values (630) 892
31.7%
2023-12-11T01:09:46.727481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2188
 
14.6%
1 875
 
5.8%
동 723
 
4.8%
부 655
 
4.4%
영 651
 
4.3%
산 646
 
4.3%
구 641
 
4.3%
도 640
 
4.3%
광 638
 
4.3%
역 638
 
4.3%
Other values (147) 6703
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9103
60.7%
Decimal Number 3059
 
20.4%
Space Separator 2188
 
14.6%
Dash Punctuation 553
 
3.7%
Open Punctuation 29
 
0.2%
Close Punctuation 29
 
0.2%
Uppercase Letter 24
 
0.2%
Other Punctuation 12
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 723
 
7.9%
부 655
 
7.2%
영 651
 
7.2%
산 646
 
7.1%
구 641
 
7.0%
도 640
 
7.0%
광 638
 
7.0%
역 638
 
7.0%
시 638
 
7.0%
지 577
 
6.3%
Other values (119) 2656
29.2%
Decimal Number
ValueCountFrequency (%)
1 875
28.6%
2 551
18.0%
3 457
14.9%
0 225
 
7.4%
4 190
 
6.2%
7 168
 
5.5%
9 159
 
5.2%
6 150
 
4.9%
5 148
 
4.8%
8 136
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
25.0%
A 4
16.7%
S 4
16.7%
D 3
12.5%
K 2
 
8.3%
F 1
 
4.2%
T 1
 
4.2%
M 1
 
4.2%
H 1
 
4.2%
J 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
. 4
33.3%
/ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
2188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 553
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9104
60.7%
Common 5870
39.1%
Latin 24
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 723
 
7.9%
부 655
 
7.2%
영 651
 
7.2%
산 646
 
7.1%
구 641
 
7.0%
도 640
 
7.0%
광 638
 
7.0%
역 638
 
7.0%
시 638
 
7.0%
지 577
 
6.3%
Other values (120) 2657
29.2%
Common
ValueCountFrequency (%)
2188
37.3%
1 875
 
14.9%
- 553
 
9.4%
2 551
 
9.4%
3 457
 
7.8%
0 225
 
3.8%
4 190
 
3.2%
7 168
 
2.9%
9 159
 
2.7%
6 150
 
2.6%
Other values (7) 354
 
6.0%
Latin
ValueCountFrequency (%)
B 6
25.0%
A 4
16.7%
S 4
16.7%
D 3
12.5%
K 2
 
8.3%
F 1
 
4.2%
T 1
 
4.2%
M 1
 
4.2%
H 1
 
4.2%
J 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9103
60.7%
ASCII 5894
39.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2188
37.1%
1 875
 
14.8%
- 553
 
9.4%
2 551
 
9.3%
3 457
 
7.8%
0 225
 
3.8%
4 190
 
3.2%
7 168
 
2.9%
9 159
 
2.7%
6 150
 
2.5%
Other values (17) 378
 
6.4%
Hangul
ValueCountFrequency (%)
동 723
 
7.9%
부 655
 
7.2%
영 651
 
7.2%
산 646
 
7.1%
구 641
 
7.0%
도 640
 
7.0%
광 638
 
7.0%
역 638
 
7.0%
시 638
 
7.0%
지 577
 
6.3%
Other values (119) 2656
29.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

MISSING 

Distinct581
Distinct (%)96.2%
Missing34
Missing (%)5.3%
Memory size5.1 KiB
2023-12-11T01:09:47.005728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004967
Min length11

Characters and Unicode

Total characters7251
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

Unique560 ?
Unique (%)92.7%

Sample

1st row070-4066-1310
2nd row051-410-3111
3rd row051-418-7741
4th row051-418-5642
5th row051-416-3082
ValueCountFrequency (%)
051-415-3155 3
 
0.5%
051-415-0073 3
 
0.5%
051-414-8885 2
 
0.3%
051-412-7044 2
 
0.3%
051-416-5225 2
 
0.3%
051-416-1696 2
 
0.3%
051-416-0509 2
 
0.3%
051-417-7626 2
 
0.3%
051-418-1988 2
 
0.3%
051-412-9993 2
 
0.3%
Other values (571) 582
96.4%
2023-12-11T01:09:47.418085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1398
19.3%
- 1208
16.7%
0 974
13.4%
5 949
13.1%
4 818
11.3%
7 375
 
5.2%
6 334
 
4.6%
2 330
 
4.6%
8 317
 
4.4%
3 298
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6043
83.3%
Dash Punctuation 1208
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1398
23.1%
0 974
16.1%
5 949
15.7%
4 818
13.5%
7 375
 
6.2%
6 334
 
5.5%
2 330
 
5.5%
8 317
 
5.2%
3 298
 
4.9%
9 250
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7251
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1398
19.3%
- 1208
16.7%
0 974
13.4%
5 949
13.1%
4 818
11.3%
7 375
 
5.2%
6 334
 
4.6%
2 330
 
4.6%
8 317
 
4.4%
3 298
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1398
19.3%
- 1208
16.7%
0 974
13.4%
5 949
13.1%
4 818
11.3%
7 375
 
5.2%
6 334
 
4.6%
2 330
 
4.6%
8 317
 
4.4%
3 298
 
4.1%

팩스번호
Text

MISSING 

Distinct535
Distinct (%)92.7%
Missing61
Missing (%)9.6%
Memory size5.1 KiB
2023-12-11T01:09:47.632720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.802426
Min length2

Characters and Unicode

Total characters6810
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

Unique508 ?
Unique (%)88.0%

Sample

1st row051-203-1244
2nd row051-410-8465
3rd row051-418-7749
4th row051-418-5645
5th row051-416-5784
ValueCountFrequency (%)
51 12
 
2.1%
051-415-3384 4
 
0.7%
051-418-7975 4
 
0.7%
051-741-9882 3
 
0.5%
051-413-3687 2
 
0.3%
051-416-6174 2
 
0.3%
051-412-0810 2
 
0.3%
051-415-2185 2
 
0.3%
051-412-5638 2
 
0.3%
051-416-9188 2
 
0.3%
Other values (525) 542
93.9%
2023-12-11T01:09:47.938773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1257
18.5%
- 1128
16.6%
5 903
13.3%
0 852
12.5%
4 800
11.7%
2 338
 
5.0%
8 336
 
4.9%
7 330
 
4.8%
6 318
 
4.7%
3 310
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5682
83.4%
Dash Punctuation 1128
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1257
22.1%
5 903
15.9%
0 852
15.0%
4 800
14.1%
2 338
 
5.9%
8 336
 
5.9%
7 330
 
5.8%
6 318
 
5.6%
3 310
 
5.5%
9 238
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6810
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1257
18.5%
- 1128
16.6%
5 903
13.3%
0 852
12.5%
4 800
11.7%
2 338
 
5.0%
8 336
 
4.9%
7 330
 
4.8%
6 318
 
4.7%
3 310
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1257
18.5%
- 1128
16.6%
5 903
13.3%
0 852
12.5%
4 800
11.7%
2 338
 
5.0%
8 336
 
4.9%
7 330
 
4.8%
6 318
 
4.7%
3 310
 
4.6%

업종명
Text

Distinct136
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T01:09:48.126732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length13
Mean length14.730408
Min length6

Characters and Unicode

Total characters9398
Distinct characters200
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

Unique89 ?
Unique (%)13.9%

Sample

1st row천연수지 및 나무 화학물질 제조업 외 1 종
2nd row강선 건조업 외 7 종
3rd row선박 구성 부분품 제조업
4th row선박 구성 부분품 제조업
5th row선박 구성 부분품 제조업
ValueCountFrequency (%)
제조업 580
19.2%
선박 409
13.6%
구성 405
13.4%
부분품 405
13.4%
외 163
 
5.4%
종 148
 
4.9%
및 113
 
3.8%
1 77
 
2.6%
기타 70
 
2.3%
2 33
 
1.1%
Other values (189) 610
20.2%
2023-12-11T01:09:48.434326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2375
25.3%
업 651
 
6.9%
제 626
 
6.7%
조 614
 
6.5%
선 459
 
4.9%
품 436
 
4.6%
구 421
 
4.5%
분 411
 
4.4%
성 410
 
4.4%
박 410
 
4.4%
Other values (190) 2585
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6837
72.7%
Space Separator 2375
 
25.3%
Decimal Number 153
 
1.6%
Other Punctuation 33
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 651
 
9.5%
제 626
 
9.2%
조 614
 
9.0%
선 459
 
6.7%
품 436
 
6.4%
구 421
 
6.2%
분 411
 
6.0%
성 410
 
6.0%
박 410
 
6.0%
부 409
 
6.0%
Other values (178) 1990
29.1%
Decimal Number
ValueCountFrequency (%)
1 81
52.9%
2 35
22.9%
3 14
 
9.2%
4 9
 
5.9%
6 4
 
2.6%
5 4
 
2.6%
7 3
 
2.0%
8 2
 
1.3%
0 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 31
93.9%
. 2
 
6.1%
Space Separator
ValueCountFrequency (%)
2375
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6837
72.7%
Common 2561
 
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 651
 
9.5%
제 626
 
9.2%
조 614
 
9.0%
선 459
 
6.7%
품 436
 
6.4%
구 421
 
6.2%
분 411
 
6.0%
성 410
 
6.0%
박 410
 
6.0%
부 409
 
6.0%
Other values (178) 1990
29.1%
Common
ValueCountFrequency (%)
2375
92.7%
1 81
 
3.2%
2 35
 
1.4%
, 31
 
1.2%
3 14
 
0.5%
4 9
 
0.4%
6 4
 
0.2%
5 4
 
0.2%
7 3
 
0.1%
. 2
 
0.1%
Other values (2) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6837
72.7%
ASCII 2561
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2375
92.7%
1 81
 
3.2%
2 35
 
1.4%
, 31
 
1.2%
3 14
 
0.5%
4 9
 
0.4%
6 4
 
0.2%
5 4
 
0.2%
7 3
 
0.1%
. 2
 
0.1%
Other values (2) 3
 
0.1%
Hangul
ValueCountFrequency (%)
업 651
 
9.5%
제 626
 
9.2%
조 614
 
9.0%
선 459
 
6.7%
품 436
 
6.4%
구 421
 
6.2%
분 411
 
6.0%
성 410
 
6.0%
박 410
 
6.0%
부 409
 
6.0%
Other values (178) 1990
29.1%

생산품
Text

Distinct486
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-11T01:09:48.741577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length8.9576803
Min length2

Characters and Unicode

Total characters5715
Distinct characters330
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique453 ?
Unique (%)71.0%

Sample

1st row유기농 천연소재
2nd row선박
3rd row선박철구조물
4th row선박수리부품(냉동기, 기관등)
5th row선박용 스크류
ValueCountFrequency (%)
선박부품 83
 
7.2%
선박수리 59
 
5.1%
및 57
 
5.0%
수리 36
 
3.1%
제작 25
 
2.2%
선박 25
 
2.2%
선박용 23
 
2.0%
선박구성부분품 20
 
1.7%
배전반 19
 
1.7%
제조 16
 
1.4%
Other values (571) 783
68.3%
2023-12-11T01:09:49.107091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
513
 
9.0%
선 457
 
8.0%
박 427
 
7.5%
품 274
 
4.8%
부 238
 
4.2%
, 230
 
4.0%
기 209
 
3.7%
수 179
 
3.1%
리 171
 
3.0%
제 108
 
1.9%
Other values (320) 2909
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4498
78.7%
Space Separator 513
 
9.0%
Other Punctuation 232
 
4.1%
Lowercase Letter 182
 
3.2%
Uppercase Letter 125
 
2.2%
Open Punctuation 80
 
1.4%
Close Punctuation 79
 
1.4%
Dash Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 457
 
10.2%
박 427
 
9.5%
품 274
 
6.1%
부 238
 
5.3%
기 209
 
4.6%
수 179
 
4.0%
리 171
 
3.8%
제 108
 
2.4%
전 86
 
1.9%
조 77
 
1.7%
Other values (267) 2272
50.5%
Lowercase Letter
ValueCountFrequency (%)
o 20
11.0%
e 18
 
9.9%
t 15
 
8.2%
l 14
 
7.7%
c 14
 
7.7%
a 13
 
7.1%
i 11
 
6.0%
r 11
 
6.0%
n 10
 
5.5%
s 9
 
4.9%
Other values (12) 47
25.8%
Uppercase Letter
ValueCountFrequency (%)
A 12
 
9.6%
S 12
 
9.6%
C 10
 
8.0%
E 10
 
8.0%
I 8
 
6.4%
P 7
 
5.6%
O 7
 
5.6%
N 7
 
5.6%
R 6
 
4.8%
G 6
 
4.8%
Other values (11) 40
32.0%
Other Punctuation
ValueCountFrequency (%)
, 230
99.1%
/ 1
 
0.4%
. 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
4 1
33.3%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
513
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4498
78.7%
Common 910
 
15.9%
Latin 307
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 457
 
10.2%
박 427
 
9.5%
품 274
 
6.1%
부 238
 
5.3%
기 209
 
4.6%
수 179
 
4.0%
리 171
 
3.8%
제 108
 
2.4%
전 86
 
1.9%
조 77
 
1.7%
Other values (267) 2272
50.5%
Latin
ValueCountFrequency (%)
o 20
 
6.5%
e 18
 
5.9%
t 15
 
4.9%
l 14
 
4.6%
c 14
 
4.6%
a 13
 
4.2%
A 12
 
3.9%
S 12
 
3.9%
i 11
 
3.6%
r 11
 
3.6%
Other values (33) 167
54.4%
Common
ValueCountFrequency (%)
513
56.4%
, 230
25.3%
( 80
 
8.8%
) 79
 
8.7%
- 3
 
0.3%
/ 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
1 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4498
78.7%
ASCII 1217
 
21.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
513
42.2%
, 230
18.9%
( 80
 
6.6%
) 79
 
6.5%
o 20
 
1.6%
e 18
 
1.5%
t 15
 
1.2%
l 14
 
1.2%
c 14
 
1.2%
a 13
 
1.1%
Other values (43) 221
18.2%
Hangul
ValueCountFrequency (%)
선 457
 
10.2%
박 427
 
9.5%
품 274
 
6.1%
부 238
 
5.3%
기 209
 
4.6%
수 179
 
4.0%
리 171
 
3.8%
제 108
 
2.4%
전 86
 
1.9%
조 77
 
1.7%
Other values (267) 2272
50.5%

공장등록일자
Date

Distinct562
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum1956-02-19 00:00:00
Maximum2023-08-11 00:00:00
2023-12-11T01:09:49.232363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:09:49.348493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종업원수
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4811912
Minimum0
Maximum1064
Zeros21
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-11T01:09:49.460269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q37
95-th percentile26
Maximum1064
Range1064
Interquartile range (IQR)5

Descriptive statistics

Standard deviation45.492202
Coefficient of variation (CV)4.7981526
Kurtosis457.71518
Mean9.4811912
Median Absolute Deviation (MAD)2
Skewness20.197686
Sum6049
Variance2069.5405
MonotonicityNot monotonic
2023-12-11T01:09:49.590913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2 94
14.7%
3 89
13.9%
1 84
13.2%
4 80
12.5%
5 50
7.8%
6 40
 
6.3%
8 29
 
4.5%
7 22
 
3.4%
0 21
 
3.3%
10 15
 
2.4%
Other values (39) 114
17.9%
ValueCountFrequency (%)
0 21
 
3.3%
1 84
13.2%
2 94
14.7%
3 89
13.9%
4 80
12.5%
5 50
7.8%
6 40
6.3%
7 22
 
3.4%
8 29
 
4.5%
9 13
 
2.0%
ValueCountFrequency (%)
1064 1
0.2%
304 1
0.2%
160 1
0.2%
144 1
0.2%
110 1
0.2%
99 1
0.2%
90 1
0.2%
82 1
0.2%
65 1
0.2%
63 1
0.2%

Interactions

2023-12-11T01:09:42.083421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:09:41.884663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:09:42.390963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:09:41.995406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:09:49.709649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.0000.163
종업원수0.1631.000
2023-12-11T01:09:49.786362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.000-0.186
종업원수-0.1861.000

Missing values

2023-12-11T01:09:42.502686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:09:42.734942image/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.
2023-12-11T01:09:42.869768image/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

순번회사명대표자명행정기관도로명 주소지번 주소전화번호팩스번호업종명생산품공장등록일자종업원수
01(주)BM김홍기부산광역시 영도구부산광역시 영도구 태종로 727, 한국해양대학교 창업보육센터508 (동삼동)부산광역시 영도구 동삼동 1 번지 한국해양대학교 창업보육센터508070-4066-1310051-203-1244천연수지 및 나무 화학물질 제조업 외 1 종유기농 천연소재2011-01-144
12(주)HJ중공업홍문기, 유상철부산광역시 영도구부산광역시 영도구 태종로 233, 외 2필지 (㈜HJ중공업)(봉래동5가)부산광역시 영도구 봉래동5가 3 외 2필지 (㈜HJ중공업)051-410-3111051-410-8465강선 건조업 외 7 종선박1991-12-201064
23(주)거청김청린부산광역시 영도구부산광역시 영도구 해양로 125 (청학동, (주)거청) (총 6 필지) 외 5필지부산광역시 영도구 청학동 1-35번지 외 5필지051-418-7741051-418-7749선박 구성 부분품 제조업선박철구조물2004-08-2353
34(주)경인서현순부산광역시 영도구부산광역시 영도구 해양로 24-11 (청학동)부산광역시 영도구 청학동 322-12번지051-418-5642051-418-5645선박 구성 부분품 제조업선박수리부품(냉동기, 기관등)2012-07-046
45(주)경진스크류강성현부산광역시 영도구부산광역시 영도구 대평로34번길 9-15 (대평동2가)부산광역시 영도구 대평동2가 192번지051-416-3082051-416-5784선박 구성 부분품 제조업선박용 스크류1994-08-134
56(주)광문오션케어배한경부산광역시 영도구부산광역시 영도구 남항서로 85, 227호(남항동2가, 국제선용품유통센터)부산광역시 영도구 남항동2가 16 국제선용품유통센터 227호051-710-7390070-4275-1812선박 구성 부분품 제조업 외 1 종선박수리2023-02-0812
67(주)그림스김광택부산광역시 영도구부산광역시 영도구 해양로65번길 29 (청학동)부산광역시 영도구 청학동 217-80번지051-313-2222051-941-3633선박 구성 부분품 제조업선박부분품 및 선박수리2016-12-297
78(주)금남선박조남식부산광역시 영도구부산광역시 영도구 해양로23번길 16 (청학동, (주)금남)부산광역시 영도구 청학동 330-110번지 (주)금남051-413-8001051-413-8005목재문 및 관련제품 제조업 외 1 종선박목의장수리, 제작2017-09-142
89(주)다우코 영도지점박문혁부산광역시 영도구부산광역시 영도구 대평로 10-4 (대평동1가)부산광역시 영도구 대평동1가 61-1번지051-415-3155051-417-3150유압기기 제조업사프트, 라이너2018-02-074
910(주)대경지티씨김재근부산광역시 영도구부산광역시 영도구 해양로 33-13 (청학동)부산광역시 영도구 청학동 330-143번지051-418-1117051-418-8117선박 구성 부분품 제조업선박수리(엔진)2014-08-128
순번회사명대표자명행정기관도로명 주소지번 주소전화번호팩스번호업종명생산품공장등록일자종업원수
628629협력공업사곽익표부산광역시 영도구부산광역시 영도구 대평로27번길 21 (대평동1가)부산광역시 영도구 대평동1가 128-4번지051-413-0276<NA>그 외 기타 금속가공업선박기관부품2015-04-101
629630협성기업박후철부산광역시 영도구부산광역시 영도구 남항서로 76-4 (남항동3가)부산광역시 영도구 남항동3가 1-25<NA>051-415-4269선박 구성 부분품 제조업선박 목가공품2020-06-172
630631협진공업사장상화부산광역시 영도구부산광역시 영도구 해양로195번길 66 (동삼동, 협진공업사)부산광역시 영도구 동삼동 201-39번지051-0405-6249051-405-6248선박 구성 부분품 제조업선박의장품2003-10-164
631632형제엔지니어링이정열부산광역시 영도구부산광역시 영도구 해양로 33-28 (청학동)부산광역시 영도구 청학동 330-140번지051-415-0616<NA>선박 구성 부분품 제조업기관제작 외2016-01-123
632633혜인선박공업사정연보부산광역시 영도구부산광역시 영도구 대평남로51번길 8-5 (대평동2가)부산광역시 영도구 대평동2가 11번지051-418-1988051-416-6174강선 건조업 외 2 종강선건조, 선박수리2017-02-086
633634호건실업김성철부산광역시 영도구부산광역시 영도구 와치로 163, 1층 (동삼동)부산광역시 영도구 동삼동 225-13번지 1층051-417-4875051-417-4876어망 및 기타 끈 가공품 제조업골프망,어망2008-09-245
634635홍진시스콘김홍근부산광역시 영도구부산광역시 영도구 대평로 16, 제1동 제24호 (대평동1가, 대동대교맨션아파트)부산광역시 영도구 대평동1가 1번지 대동대교맨션아파트 제1동 제24호051-417-8933051-626-8777선박 구성 부분품 제조업전기, 전자수리(PCB)2015-01-212
635636화진전기공업사박명준부산광역시 영도구부산광역시 영도구 대평남로 42-1 (대평동2가) (총 2 필지) 외 1필지부산광역시 영도구 대평동2가 38-15번지 외 1필지051-416-7272051-415-1023선박 구성 부분품 제조업배전반외 전기품목2006-10-271
636637효송테크이경재부산광역시 영도구부산광역시 영도구 해양로65번길 26-17 (청학동)부산광역시 영도구 청학동 217-160051-418-8874051-418-8873선박 구성 부분품 제조업선박부품 선박수리2023-06-081
637638휘광전기정수현부산광역시 영도구부산광역시 영도구 절영로94번길 4 (남항동3가)부산광역시 영도구 남항동3가 112-5051-412-6227051-412-6228선박 구성 부분품 제조업선박부품(전기) 제작 및 수리2020-11-271