Overview

Dataset statistics

Number of variables8
Number of observations72
Missing cells6
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory65.8 B

Variable types

Text4
DateTime3
Categorical1

Dataset

Description포항시 건설현장 시공정보(공동주택, 제1.2종근린생활, 창고시설, 공장시설, 자동차관련시설, 업무시설, 운동시설, 노유자시설 등)
URLhttps://www.data.go.kr/data/15080839/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시공자사무소명 has 6 (8.3%) missing valuesMissing

Reproduction

Analysis started2023-12-11 23:16:57.387364
Analysis finished2023-12-11 23:16:58.563976
Duration1.18 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대지위치
Text

Distinct57
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T08:16:58.825607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length26.652778
Min length18

Characters and Unicode

Total characters1919
Distinct characters109
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

Unique55 ?
Unique (%)76.4%

Sample

1st row경상북도 포항시 남구 대도동 65-20
2nd row경상북도 포항시 남구 동촌동 5 외72필지
3rd row경상북도 포항시 북구 환호동 509 외4필지
4th row경상북도 포항시 남구 동촌동 5 외72필지
5th row경상북도 포항시 남구 상도동 177-1 외2필지
ValueCountFrequency (%)
경상북도 72
15.8%
포항시 72
15.8%
남구 44
 
9.6%
북구 28
 
6.1%
5 15
 
3.3%
동촌동 14
 
3.1%
외72필지 14
 
3.1%
외1필지 12
 
2.6%
흥해읍 11
 
2.4%
오천읍 6
 
1.3%
Other values (125) 168
36.8%
2023-12-12T08:16:59.336987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
20.0%
북 102
 
5.3%
구 83
 
4.3%
도 82
 
4.3%
항 76
 
4.0%
상 75
 
3.9%
포 75
 
3.9%
시 73
 
3.8%
1 72
 
3.8%
경 72
 
3.8%
Other values (99) 825
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1196
62.3%
Space Separator 384
 
20.0%
Decimal Number 300
 
15.6%
Dash Punctuation 34
 
1.8%
Uppercase Letter 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 102
 
8.5%
구 83
 
6.9%
도 82
 
6.9%
항 76
 
6.4%
상 75
 
6.3%
포 75
 
6.3%
시 73
 
6.1%
경 72
 
6.0%
지 66
 
5.5%
동 62
 
5.2%
Other values (82) 430
36.0%
Decimal Number
ValueCountFrequency (%)
1 72
24.0%
5 41
13.7%
2 39
13.0%
7 34
11.3%
3 30
10.0%
6 25
 
8.3%
4 20
 
6.7%
0 17
 
5.7%
9 14
 
4.7%
8 8
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
A 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1196
62.3%
Common 720
37.5%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 102
 
8.5%
구 83
 
6.9%
도 82
 
6.9%
항 76
 
6.4%
상 75
 
6.3%
포 75
 
6.3%
시 73
 
6.1%
경 72
 
6.0%
지 66
 
5.5%
동 62
 
5.2%
Other values (82) 430
36.0%
Common
ValueCountFrequency (%)
384
53.3%
1 72
 
10.0%
5 41
 
5.7%
2 39
 
5.4%
7 34
 
4.7%
- 34
 
4.7%
3 30
 
4.2%
6 25
 
3.5%
4 20
 
2.8%
0 17
 
2.4%
Other values (4) 24
 
3.3%
Latin
ValueCountFrequency (%)
L 1
33.3%
A 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1196
62.3%
ASCII 723
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
53.1%
1 72
 
10.0%
5 41
 
5.7%
2 39
 
5.4%
7 34
 
4.7%
- 34
 
4.7%
3 30
 
4.1%
6 25
 
3.5%
4 20
 
2.8%
0 17
 
2.4%
Other values (7) 27
 
3.7%
Hangul
ValueCountFrequency (%)
북 102
 
8.5%
구 83
 
6.9%
도 82
 
6.9%
항 76
 
6.4%
상 75
 
6.3%
포 75
 
6.3%
시 73
 
6.1%
경 72
 
6.0%
지 66
 
5.5%
동 62
 
5.2%
Other values (82) 430
36.0%

착공처리일
Date

Distinct69
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2014-04-18 00:00:00
Maximum2022-11-03 00:00:00
2023-12-12T08:16:59.509807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:16:59.712482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

착공예정일
Date

Distinct68
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2014-04-10 00:00:00
Maximum2022-11-08 00:00:00
2023-12-12T08:16:59.865032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:00.011829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주용도
Categorical

Distinct17
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
공장
24 
동.식물관련시설
5 
업무시설
5 
교육연구시설
5 
공동주택
4 
Other values (12)
29 

Length

Max length9
Median length8
Mean length4.5
Min length2

Unique

Unique2 ?
Unique (%)2.8%

Sample

1st row제2종근린생활시설
2nd row공장
3rd row문화및집회시설
4th row공장
5th row노유자시설

Common Values

ValueCountFrequency (%)
공장 24
33.3%
동.식물관련시설 5
 
6.9%
업무시설 5
 
6.9%
교육연구시설 5
 
6.9%
공동주택 4
 
5.6%
운동시설 4
 
5.6%
제2종근린생활시설 4
 
5.6%
노유자시설 3
 
4.2%
의료시설 3
 
4.2%
제1종근린생활시설 3
 
4.2%
Other values (7) 12
16.7%

Length

2023-12-12T08:17:00.184220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공장 24
33.3%
동.식물관련시설 5
 
6.9%
업무시설 5
 
6.9%
교육연구시설 5
 
6.9%
공동주택 4
 
5.6%
운동시설 4
 
5.6%
제2종근린생활시설 4
 
5.6%
제1종근린생활시설 3
 
4.2%
의료시설 3
 
4.2%
노유자시설 3
 
4.2%
Other values (7) 12
16.7%

설계사무소명
Text

Distinct54
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T08:17:00.457399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length10.416667
Min length5

Characters and Unicode

Total characters750
Distinct characters93
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

Unique43 ?
Unique (%)59.7%

Sample

1st row(주)건축사사무소A3
2nd row포스코건설
3rd row건축사사무소신도시건축
4th row(주)포스코건설
5th row건축사사무소 상생호
ValueCountFrequency (%)
건축사사무소 31
28.7%
동양 5
 
4.6%
주)포스코에이앤씨건축사사무소 4
 
3.7%
주)건축사사무소a3 3
 
2.8%
주)포스코건설 3
 
2.8%
주식회사 3
 
2.8%
포스코건설 2
 
1.9%
이건 2
 
1.9%
건축사사무소마당 2
 
1.9%
최성민 2
 
1.9%
Other values (48) 51
47.2%
2023-12-12T08:17:01.230740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 134
17.9%
건 83
 
11.1%
축 74
 
9.9%
무 66
 
8.8%
소 65
 
8.7%
36
 
4.8%
주 26
 
3.5%
) 23
 
3.1%
( 23
 
3.1%
이 10
 
1.3%
Other values (83) 210
28.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 661
88.1%
Space Separator 36
 
4.8%
Close Punctuation 23
 
3.1%
Open Punctuation 23
 
3.1%
Uppercase Letter 3
 
0.4%
Decimal Number 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 134
20.3%
건 83
12.6%
축 74
11.2%
무 66
 
10.0%
소 65
 
9.8%
주 26
 
3.9%
이 10
 
1.5%
스 10
 
1.5%
포 9
 
1.4%
코 9
 
1.4%
Other values (77) 175
26.5%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 661
88.1%
Common 86
 
11.5%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 134
20.3%
건 83
12.6%
축 74
11.2%
무 66
 
10.0%
소 65
 
9.8%
주 26
 
3.9%
이 10
 
1.5%
스 10
 
1.5%
포 9
 
1.4%
코 9
 
1.4%
Other values (77) 175
26.5%
Common
ValueCountFrequency (%)
36
41.9%
) 23
26.7%
( 23
26.7%
3 3
 
3.5%
. 1
 
1.2%
Latin
ValueCountFrequency (%)
A 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 661
88.1%
ASCII 89
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 134
20.3%
건 83
12.6%
축 74
11.2%
무 66
 
10.0%
소 65
 
9.8%
주 26
 
3.9%
이 10
 
1.5%
스 10
 
1.5%
포 9
 
1.4%
코 9
 
1.4%
Other values (77) 175
26.5%
ASCII
ValueCountFrequency (%)
36
40.4%
) 23
25.8%
( 23
25.8%
A 3
 
3.4%
3 3
 
3.4%
. 1
 
1.1%

감리사무소명
Text

Distinct49
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T08:17:01.531921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.180556
Min length8

Characters and Unicode

Total characters805
Distinct characters86
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)54.2%

Sample

1st row포항 종합건축사사무소
2nd row(주)플랜에이건축사사무소
3rd row건축사사무소 호미
4th row(주)플랜에이건축사사무소
5th row(주)건축사사무소 반석
ValueCountFrequency (%)
건축사사무소 28
25.5%
주)포스코에이앤씨건축사사무소 9
 
8.2%
주)플랜에이건축사사무소 5
 
4.5%
a3 3
 
2.7%
이건 3
 
2.7%
더원건축사사무소 3
 
2.7%
주 3
 
2.7%
수건축 3
 
2.7%
협성 2
 
1.8%
동양 2
 
1.8%
Other values (45) 49
44.5%
2023-12-12T08:17:01.976535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 140
17.4%
건 78
 
9.7%
축 75
 
9.3%
무 70
 
8.7%
소 69
 
8.6%
39
 
4.8%
주 32
 
4.0%
( 30
 
3.7%
) 30
 
3.7%
이 23
 
2.9%
Other values (76) 219
27.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 700
87.0%
Space Separator 39
 
4.8%
Open Punctuation 30
 
3.7%
Close Punctuation 30
 
3.7%
Decimal Number 3
 
0.4%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 140
20.0%
건 78
11.1%
축 75
10.7%
무 70
 
10.0%
소 69
 
9.9%
주 32
 
4.6%
이 23
 
3.3%
에 15
 
2.1%
씨 12
 
1.7%
앤 11
 
1.6%
Other values (71) 175
25.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Decimal Number
ValueCountFrequency (%)
3 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 700
87.0%
Common 102
 
12.7%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 140
20.0%
건 78
11.1%
축 75
10.7%
무 70
 
10.0%
소 69
 
9.9%
주 32
 
4.6%
이 23
 
3.3%
에 15
 
2.1%
씨 12
 
1.7%
앤 11
 
1.6%
Other values (71) 175
25.0%
Common
ValueCountFrequency (%)
39
38.2%
( 30
29.4%
) 30
29.4%
3 3
 
2.9%
Latin
ValueCountFrequency (%)
A 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 700
87.0%
ASCII 105
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 140
20.0%
건 78
11.1%
축 75
10.7%
무 70
 
10.0%
소 69
 
9.9%
주 32
 
4.6%
이 23
 
3.3%
에 15
 
2.1%
씨 12
 
1.7%
앤 11
 
1.6%
Other values (71) 175
25.0%
ASCII
ValueCountFrequency (%)
39
37.1%
( 30
28.6%
) 30
28.6%
3 3
 
2.9%
A 3
 
2.9%

시공자사무소명
Text

MISSING 

Distinct55
Distinct (%)83.3%
Missing6
Missing (%)8.3%
Memory size708.0 B
2023-12-12T08:17:02.241114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.1515152
Min length2

Characters and Unicode

Total characters538
Distinct characters92
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

Unique48 ?
Unique (%)72.7%

Sample

1st row주식회사에이쓰리
2nd row(주)포스코건설
3rd row(주)포스코건설
4th row씨엠종합건설(주)
5th row주식회사 경도
ValueCountFrequency (%)
주)포스코건설 5
 
7.4%
주)아커스디앤씨 3
 
4.4%
주)서희건설 2
 
2.9%
대혁건설(주 2
 
2.9%
주식회사 2
 
2.9%
주)포스코플랜텍 2
 
2.9%
주)영진토건 2
 
2.9%
주식회사에이쓰리 2
 
2.9%
화남건설(주 1
 
1.5%
주)강세종합건설 1
 
1.5%
Other values (46) 46
67.6%
2023-12-12T08:17:02.702302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 66
 
12.3%
( 55
 
10.2%
) 55
 
10.2%
건 48
 
8.9%
설 44
 
8.2%
합 19
 
3.5%
종 19
 
3.5%
스 15
 
2.8%
사 10
 
1.9%
식 10
 
1.9%
Other values (82) 197
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
79.0%
Open Punctuation 55
 
10.2%
Close Punctuation 55
 
10.2%
Space Separator 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 66
 
15.5%
건 48
 
11.3%
설 44
 
10.4%
합 19
 
4.5%
종 19
 
4.5%
스 15
 
3.5%
사 10
 
2.4%
식 10
 
2.4%
회 10
 
2.4%
진 9
 
2.1%
Other values (79) 175
41.2%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
79.0%
Common 113
 
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 66
 
15.5%
건 48
 
11.3%
설 44
 
10.4%
합 19
 
4.5%
종 19
 
4.5%
스 15
 
3.5%
사 10
 
2.4%
식 10
 
2.4%
회 10
 
2.4%
진 9
 
2.1%
Other values (79) 175
41.2%
Common
ValueCountFrequency (%)
( 55
48.7%
) 55
48.7%
3
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
79.0%
ASCII 113
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 66
 
15.5%
건 48
 
11.3%
설 44
 
10.4%
합 19
 
4.5%
종 19
 
4.5%
스 15
 
3.5%
사 10
 
2.4%
식 10
 
2.4%
회 10
 
2.4%
진 9
 
2.1%
Other values (79) 175
41.2%
ASCII
ValueCountFrequency (%)
( 55
48.7%
) 55
48.7%
3
 
2.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2023-08-11 00:00:00
Maximum2023-08-11 00:00:00
2023-12-12T08:17:02.837607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:17:02.948252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T08:17:03.033295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지위치착공처리일착공예정일주용도설계사무소명감리사무소명시공자사무소명
대지위치1.0000.9940.9951.0000.9900.9980.994
착공처리일0.9941.0000.9960.9890.9890.9960.994
착공예정일0.9950.9961.0000.9920.9600.9880.993
주용도1.0000.9890.9921.0000.9690.9740.998
설계사무소명0.9900.9890.9600.9691.0000.9920.986
감리사무소명0.9980.9960.9880.9740.9921.0000.987
시공자사무소명0.9940.9940.9930.9980.9860.9871.000

Missing values

2023-12-12T08:16:58.382713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:16:58.511393image/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

대지위치착공처리일착공예정일주용도설계사무소명감리사무소명시공자사무소명데이터기준일자
0경상북도 포항시 남구 대도동 65-202022-10-272022-11-01제2종근린생활시설(주)건축사사무소A3포항 종합건축사사무소주식회사에이쓰리2023-08-11
1경상북도 포항시 남구 동촌동 5 외72필지2022-10-142022-10-17공장포스코건설(주)플랜에이건축사사무소(주)포스코건설2023-08-11
2경상북도 포항시 북구 환호동 509 외4필지2022-09-282022-09-02문화및집회시설건축사사무소신도시건축건축사사무소 호미<NA>2023-08-11
3경상북도 포항시 남구 동촌동 5 외72필지2022-10-282022-10-01공장(주)포스코건설(주)플랜에이건축사사무소(주)포스코건설2023-08-11
4경상북도 포항시 남구 상도동 177-1 외2필지2022-07-292022-07-14노유자시설건축사사무소 상생호(주)건축사사무소 반석씨엠종합건설(주)2023-08-11
5경상북도 포항시 북구 흥해읍 이인리 포항융합기술산업지구 변12022-07-252022-07-18제1종근린생활시설한국전력공사(주)신한종합건축사사무소주식회사 경도2023-08-11
6경상북도 포항시 남구 동촌동 5 외72필지2022-10-132022-10-07공장(주)라움건축사사무소(주)플랜에이건축사사무소(주)포스코아이씨티2023-08-11
7경상북도 포항시 북구 흥해읍 남송리 3 외3필지2022-07-202022-07-20교육연구시설최성민 건축사사무소더원건축사사무소(주)아커스디앤씨2023-08-11
8경상북도 포항시 남구 동촌동 5 외72필지2022-07-152022-07-18공장건축사사무소마당(주)포스코에이앤씨건축사사무소(주)포스코플랜텍2023-08-11
9경상북도 포항시 남구 동촌동 5 외72필지2022-07-182022-07-20공장(주)포스코건설(주)포스코에이앤씨건축사사무소운강건설(주)2023-08-11
대지위치착공처리일착공예정일주용도설계사무소명감리사무소명시공자사무소명데이터기준일자
62경상북도 포항시 남구 상도동 632-2 외1필지2018-10-012018-10-01의료시설건축사사무소 건우협성 건축사사무소청산종합건설(주)2023-08-11
63경상북도 포항시 남구 청림동 17-7 외1필지2018-11-192018-11-20숙박시설건축사사무소 도원건축사사무소동양청암건설(주)2023-08-11
64경상북도 포항시 북구 항구동 17-358 외9필지2017-02-152017-02-01공동주택(주)범도시건축종합건축사사무소(주)범도시건축종합건축사사무소지에스건설(주)2023-08-11
65경상북도 포항시 남구 이동 6592016-05-232016-05-16자동차관련시설(주)경호엔지니어링종합건축사사무소시민 건축사사무소청암종합건설(주)2023-08-11
66경상북도 포항시 남구 오천읍 문덕리 176-11 외1필지2015-05-292015-06-02공동주택건축사사무소명보건축삼영건축사사무소(주)영진토건2023-08-11
67경상북도 포항시 남구 오천읍 문덕리 176-12015-05-142015-05-13공동주택우원건축사사무소우원건축사사무소(주)영진토건2023-08-11
68경상북도 포항시 남구 해도동 34-1002014-05-022014-05-10업무시설(주)나무인건축사사무소(주)우림종합엔지니어링우민종합건설(주)2023-08-11
69경상북도 포항시 북구 흥해읍 이인리 137-1 외55필지2014-04-182014-04-10운수시설(주)서한종합건축사사무소(주)유일엔지니어링종합건축사사무소코오롱글로벌(주)2023-08-11
70경상북도 포항시 남구 오천읍 광명일반산업단지 2BL 블럭2016-09-262016-09-26공장한비 건축사사무소한비 건축사사무소오주종합건설(주)2023-08-11
71경상북도 포항시 남구 대도동 313-1 외199필지2015-02-022015-02-03운동시설건축사사무소 건영건축건축사사무소이상(주)흥원종합건설2023-08-11