Overview

Dataset statistics

Number of variables6
Number of observations823
Missing cells68
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.7 KiB
Average record size in memory48.2 B

Variable types

Text5
Categorical1

Dataset

Description경상북도 포항시로 등록된 건설업 현황으로 건설업명과 소재지, 연락처, 대표자이름, 사업자등록번호, 데이터제공일자 등을 제공
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15084293/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사업자번호 has 67 (8.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:47:20.757522
Analysis finished2023-12-12 20:47:21.767963
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct822
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-13T05:47:22.007645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length7.1676792
Min length4

Characters and Unicode

Total characters5899
Distinct characters319
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

Unique821 ?
Unique (%)99.8%

Sample

1st row(유)신영산업
2nd row(유)포항수도공업사
3rd row(주)MK기업
4th row(주)SH건설
5th row(주)가람이엔씨
ValueCountFrequency (%)
현대가스설비 2
 
0.2%
동호기업(주 1
 
0.1%
두나무조경 1
 
0.1%
동보산업(주 1
 
0.1%
동산가스설비 1
 
0.1%
동서산업개발(주 1
 
0.1%
동성계전(주 1
 
0.1%
동양가스상사 1
 
0.1%
동원개발(주 1
 
0.1%
동진보일러설비 1
 
0.1%
Other values (812) 812
98.7%
2023-12-13T05:47:22.579183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
668
 
11.3%
( 647
 
11.0%
) 647
 
11.0%
286
 
4.8%
252
 
4.3%
113
 
1.9%
113
 
1.9%
95
 
1.6%
80
 
1.4%
80
 
1.4%
Other values (309) 2918
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4549
77.1%
Open Punctuation 647
 
11.0%
Close Punctuation 647
 
11.0%
Uppercase Letter 35
 
0.6%
Other Punctuation 10
 
0.2%
Lowercase Letter 6
 
0.1%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
668
 
14.7%
286
 
6.3%
252
 
5.5%
113
 
2.5%
113
 
2.5%
95
 
2.1%
80
 
1.8%
80
 
1.8%
76
 
1.7%
75
 
1.6%
Other values (283) 2711
59.6%
Uppercase Letter
ValueCountFrequency (%)
E 7
20.0%
N 7
20.0%
S 5
14.3%
G 5
14.3%
H 2
 
5.7%
B 2
 
5.7%
K 2
 
5.7%
T 2
 
5.7%
C 1
 
2.9%
M 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
h 1
16.7%
e 1
16.7%
c 1
16.7%
o 1
16.7%
t 1
16.7%
d 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
& 1
 
10.0%
, 1
 
10.0%
1
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
3 1
 
20.0%
9 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 647
100.0%
Close Punctuation
ValueCountFrequency (%)
) 647
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4549
77.1%
Common 1309
 
22.2%
Latin 41
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
668
 
14.7%
286
 
6.3%
252
 
5.5%
113
 
2.5%
113
 
2.5%
95
 
2.1%
80
 
1.8%
80
 
1.8%
76
 
1.7%
75
 
1.6%
Other values (283) 2711
59.6%
Latin
ValueCountFrequency (%)
E 7
17.1%
N 7
17.1%
S 5
12.2%
G 5
12.2%
H 2
 
4.9%
B 2
 
4.9%
K 2
 
4.9%
T 2
 
4.9%
h 1
 
2.4%
e 1
 
2.4%
Other values (7) 7
17.1%
Common
ValueCountFrequency (%)
( 647
49.4%
) 647
49.4%
. 7
 
0.5%
1 3
 
0.2%
& 1
 
0.1%
3 1
 
0.1%
9 1
 
0.1%
, 1
 
0.1%
1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4549
77.1%
ASCII 1349
 
22.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
668
 
14.7%
286
 
6.3%
252
 
5.5%
113
 
2.5%
113
 
2.5%
95
 
2.1%
80
 
1.8%
80
 
1.8%
76
 
1.7%
75
 
1.6%
Other values (283) 2711
59.6%
ASCII
ValueCountFrequency (%)
( 647
48.0%
) 647
48.0%
E 7
 
0.5%
N 7
 
0.5%
. 7
 
0.5%
S 5
 
0.4%
G 5
 
0.4%
1 3
 
0.2%
H 2
 
0.1%
B 2
 
0.1%
Other values (15) 17
 
1.3%
None
ValueCountFrequency (%)
1
100.0%
Distinct777
Distinct (%)94.5%
Missing1
Missing (%)0.1%
Memory size6.6 KiB
2023-12-13T05:47:23.006765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length42.5
Mean length28.445255
Min length19

Characters and Unicode

Total characters23382
Distinct characters218
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

Unique740 ?
Unique (%)90.0%

Sample

1st row경상북도 포항시 남구 중앙로 22 (해도동)
2nd row경상북도 포항시 북구 법원로63번길 19-7 (장성동)
3rd row경상북도 포항시 남구 대송면 제내길31번길 7-1
4th row경상북도 포항시 북구 삼호로 135 (항구동)
5th row경상북도 포항시 남구 중앙로121번길 14-1 (대도동)
ValueCountFrequency (%)
포항시 822
 
15.8%
경상북도 821
 
15.8%
남구 462
 
8.9%
북구 360
 
6.9%
장성동 81
 
1.6%
연일읍 70
 
1.3%
흥해읍 61
 
1.2%
2층 59
 
1.1%
대도동 56
 
1.1%
오천읍 56
 
1.1%
Other values (983) 2352
45.2%
2023-12-13T05:47:23.681119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4378
18.7%
1185
 
5.1%
1063
 
4.5%
932
 
4.0%
1 849
 
3.6%
846
 
3.6%
839
 
3.6%
837
 
3.6%
825
 
3.5%
823
 
3.5%
Other values (208) 10805
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13953
59.7%
Space Separator 4378
 
18.7%
Decimal Number 3471
 
14.8%
Open Punctuation 573
 
2.5%
Close Punctuation 573
 
2.5%
Dash Punctuation 253
 
1.1%
Other Punctuation 174
 
0.7%
Uppercase Letter 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1185
 
8.5%
1063
 
7.6%
932
 
6.7%
846
 
6.1%
839
 
6.0%
837
 
6.0%
825
 
5.9%
823
 
5.9%
731
 
5.2%
664
 
4.8%
Other values (187) 5208
37.3%
Decimal Number
ValueCountFrequency (%)
1 849
24.5%
2 536
15.4%
3 350
10.1%
4 313
 
9.0%
0 273
 
7.9%
5 260
 
7.5%
6 241
 
6.9%
7 231
 
6.7%
8 228
 
6.6%
9 190
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 155
89.1%
18
 
10.3%
. 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
A 2
40.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
50.0%
h 1
50.0%
Space Separator
ValueCountFrequency (%)
4378
100.0%
Open Punctuation
ValueCountFrequency (%)
( 573
100.0%
Close Punctuation
ValueCountFrequency (%)
) 573
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13953
59.7%
Common 9422
40.3%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1185
 
8.5%
1063
 
7.6%
932
 
6.7%
846
 
6.1%
839
 
6.0%
837
 
6.0%
825
 
5.9%
823
 
5.9%
731
 
5.2%
664
 
4.8%
Other values (187) 5208
37.3%
Common
ValueCountFrequency (%)
4378
46.5%
1 849
 
9.0%
( 573
 
6.1%
) 573
 
6.1%
2 536
 
5.7%
3 350
 
3.7%
4 313
 
3.3%
0 273
 
2.9%
5 260
 
2.8%
- 253
 
2.7%
Other values (7) 1064
 
11.3%
Latin
ValueCountFrequency (%)
B 3
42.9%
A 2
28.6%
g 1
 
14.3%
h 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13953
59.7%
ASCII 9411
40.2%
None 18
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4378
46.5%
1 849
 
9.0%
( 573
 
6.1%
) 573
 
6.1%
2 536
 
5.7%
3 350
 
3.7%
4 313
 
3.3%
0 273
 
2.9%
5 260
 
2.8%
- 253
 
2.7%
Other values (10) 1053
 
11.2%
Hangul
ValueCountFrequency (%)
1185
 
8.5%
1063
 
7.6%
932
 
6.7%
846
 
6.1%
839
 
6.0%
837
 
6.0%
825
 
5.9%
823
 
5.9%
731
 
5.2%
664
 
4.8%
Other values (187) 5208
37.3%
None
ValueCountFrequency (%)
18
100.0%
Distinct790
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-13T05:47:24.035636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021871
Min length11

Characters and Unicode

Total characters9894
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

Unique766 ?
Unique (%)93.1%

Sample

1st row054-275-7707
2nd row054-252-6221
3rd row054-255-0038
4th row054-254-0766
5th row054-771-3530
ValueCountFrequency (%)
054-270-0000 9
 
1.1%
054-249-6000 3
 
0.4%
054-000-0000 3
 
0.4%
054-292-5652 2
 
0.2%
054-272-0443 2
 
0.2%
054-274-4800 2
 
0.2%
054-284-4249 2
 
0.2%
054-261-5292 2
 
0.2%
054-291-2020 2
 
0.2%
054-282-4374 2
 
0.2%
Other values (780) 794
96.5%
2023-12-13T05:47:24.669016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1646
16.6%
0 1460
14.8%
4 1336
13.5%
5 1290
13.0%
2 1271
12.8%
7 665
6.7%
8 567
 
5.7%
1 490
 
5.0%
3 442
 
4.5%
6 401
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8248
83.4%
Dash Punctuation 1646
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1460
17.7%
4 1336
16.2%
5 1290
15.6%
2 1271
15.4%
7 665
8.1%
8 567
 
6.9%
1 490
 
5.9%
3 442
 
5.4%
6 401
 
4.9%
9 326
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 1646
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9894
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1646
16.6%
0 1460
14.8%
4 1336
13.5%
5 1290
13.0%
2 1271
12.8%
7 665
6.7%
8 567
 
5.7%
1 490
 
5.0%
3 442
 
4.5%
6 401
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9894
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1646
16.6%
0 1460
14.8%
4 1336
13.5%
5 1290
13.0%
2 1271
12.8%
7 665
6.7%
8 567
 
5.7%
1 490
 
5.0%
3 442
 
4.5%
6 401
 
4.1%
Distinct792
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-13T05:47:25.237240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.1579587
Min length2

Characters and Unicode

Total characters2599
Distinct characters202
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique762 ?
Unique (%)92.6%

Sample

1st row성배기
2nd row신수원
3rd row이종민
4th row황기조
5th row이윤희
ValueCountFrequency (%)
배성문 3
 
0.4%
권혁진 2
 
0.2%
최윤정 2
 
0.2%
김정환 2
 
0.2%
박동규 2
 
0.2%
박재형 2
 
0.2%
김동수 2
 
0.2%
신창배 2
 
0.2%
이재화 2
 
0.2%
김태우 2
 
0.2%
Other values (782) 802
97.4%
2023-12-13T05:47:26.102803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
 
6.9%
152
 
5.8%
103
 
4.0%
68
 
2.6%
66
 
2.5%
58
 
2.2%
55
 
2.1%
51
 
2.0%
48
 
1.8%
47
 
1.8%
Other values (192) 1771
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2563
98.6%
Other Punctuation 31
 
1.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
180
 
7.0%
152
 
5.9%
103
 
4.0%
68
 
2.7%
66
 
2.6%
58
 
2.3%
55
 
2.1%
51
 
2.0%
48
 
1.9%
47
 
1.8%
Other values (187) 1735
67.7%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
2
 
6.5%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2563
98.6%
Common 36
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
180
 
7.0%
152
 
5.9%
103
 
4.0%
68
 
2.7%
66
 
2.6%
58
 
2.3%
55
 
2.1%
51
 
2.0%
48
 
1.9%
47
 
1.8%
Other values (187) 1735
67.7%
Common
ValueCountFrequency (%)
, 29
80.6%
) 2
 
5.6%
( 2
 
5.6%
2
 
5.6%
2 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2563
98.6%
ASCII 34
 
1.3%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
180
 
7.0%
152
 
5.9%
103
 
4.0%
68
 
2.7%
66
 
2.6%
58
 
2.3%
55
 
2.1%
51
 
2.0%
48
 
1.9%
47
 
1.8%
Other values (187) 1735
67.7%
ASCII
ValueCountFrequency (%)
, 29
85.3%
) 2
 
5.9%
( 2
 
5.9%
2 1
 
2.9%
None
ValueCountFrequency (%)
2
100.0%

사업자번호
Text

MISSING 

Distinct756
Distinct (%)100.0%
Missing67
Missing (%)8.1%
Memory size6.6 KiB
2023-12-13T05:47:26.506980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters9072
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

Unique756 ?
Unique (%)100.0%

Sample

1st row506-81-55282
2nd row506-81-16858
3rd row506-81-80006
4th row505-81-52583
5th row506-81-59594
ValueCountFrequency (%)
506-81-22670 1
 
0.1%
506-81-16969 1
 
0.1%
506-08-91586 1
 
0.1%
553-88-01457 1
 
0.1%
811-86-00495 1
 
0.1%
506-81-07515 1
 
0.1%
506-16-84907 1
 
0.1%
506-05-43119 1
 
0.1%
811-88-00067 1
 
0.1%
506-05-29266 1
 
0.1%
Other values (746) 746
98.7%
2023-12-13T05:47:27.097484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1512
16.7%
0 1235
13.6%
1 1126
12.4%
8 1058
11.7%
5 1010
11.1%
6 947
10.4%
2 492
 
5.4%
4 454
 
5.0%
3 440
 
4.9%
7 423
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7560
83.3%
Dash Punctuation 1512
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1235
16.3%
1 1126
14.9%
8 1058
14.0%
5 1010
13.4%
6 947
12.5%
2 492
 
6.5%
4 454
 
6.0%
3 440
 
5.8%
7 423
 
5.6%
9 375
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 1512
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9072
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1512
16.7%
0 1235
13.6%
1 1126
12.4%
8 1058
11.7%
5 1010
11.1%
6 947
10.4%
2 492
 
5.4%
4 454
 
5.0%
3 440
 
4.9%
7 423
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9072
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1512
16.7%
0 1235
13.6%
1 1126
12.4%
8 1058
11.7%
5 1010
11.1%
6 947
10.4%
2 492
 
5.4%
4 454
 
5.0%
3 440
 
4.9%
7 423
 
4.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2021-07-05
823 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-07-05
2nd row2021-07-05
3rd row2021-07-05
4th row2021-07-05
5th row2021-07-05

Common Values

ValueCountFrequency (%)
2021-07-05 823
100.0%

Length

2023-12-13T05:47:27.357678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:47:27.509671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-07-05 823
100.0%

Missing values

2023-12-13T05:47:21.414938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:47:21.570333image/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.
2023-12-13T05:47:21.698350image/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

건설업체명소재시 도로명주소대표전화번호대표자사업자번호데이터기준일자
0(유)신영산업경상북도 포항시 남구 중앙로 22 (해도동)054-275-7707성배기506-81-552822021-07-05
1(유)포항수도공업사경상북도 포항시 북구 법원로63번길 19-7 (장성동)054-252-6221신수원506-81-168582021-07-05
2(주)MK기업경상북도 포항시 남구 대송면 제내길31번길 7-1054-255-0038이종민<NA>2021-07-05
3(주)SH건설경상북도 포항시 북구 삼호로 135 (항구동)054-254-0766황기조506-81-800062021-07-05
4(주)가람이엔씨경상북도 포항시 남구 중앙로121번길 14-1 (대도동)054-771-3530이윤희505-81-525832021-07-05
5(주)가람조경개발경상북도 포항시 북구 법원로98번길 23(장성동)054-275-0974김철희506-81-595942021-07-05
6(주)가스올테크경상북도 포항시 남구 상대로 142-2 ,1층 (대도동)054-292-5652배성문670-81-016752021-07-05
7(주)가온건설경상북도 포항시 남구 대송면 제내길75번길 8054-615-4001이연숙723-81-004412021-07-05
8(주)가우디건설경상북도 포항시 남구 송림로 95 (송도동)054-727-8747이윤경506-81-709592021-07-05
9(주)가은경상북도 포항시 북구 죽파로 35-1 , 5층 (죽도동)054-272-0255김원경410-86-088962021-07-05
건설업체명소재시 도로명주소대표전화번호대표자사업자번호데이터기준일자
813형주건설(주)경상북도 포항시 남구 송도로 51 B동, 1층 (송도동)054-615-6068김정효506-81-548852021-07-05
814혜서산업(주)경상북도 포항시 남구 대송면 제내길53번길 13054-283-9688전진마427-86-004372021-07-05
815혜성기업(주)경상북도 포항시 남구 문예로82번길 18 (대도동)054-277-0160유미경506-81-426232021-07-05
816홍성주택설비경상북도 포항시 북구 죽도로28번길 36 (죽도동)054-249-0211허왕유506-07-349482021-07-05
817화성가스경상북도 포항시 북구 창흥로 34 (창포동)054-253-3621박현아<NA>2021-07-05
818화신열기(주)경상북도 포항시 남구 축항로 10 (해도동)054-282-7467오은좌506-81-098332021-07-05
819화일산기(주)경상북도 포항시 남구 오천읍 오어로 341054-274-4144박의룡506-81-536632021-07-05
820황제설비경상북도 포항시 남구 오천읍 문덕로23번길 15054-291-8354남오섭<NA>2021-07-05
821효원씨앤에프(주)경상북도 포항시 남구 대이로59번길 11 , 3층 (대잠동)054-274-2850금영란504-81-442082021-07-05
822효자설비공사경상북도 포항시 남구 상공로18번길 70 (대도동)054-281-5767박병두506-31-717632021-07-05