Overview

Dataset statistics

Number of variables7
Number of observations58
Missing cells54
Missing cells (%)13.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory58.3 B

Variable types

Text6
DateTime1

Dataset

Description대구 정비사업 전문관리업 등록현황(2015.4월)
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075092&dataSetDetailId=30750921de9e554d2a0d&provdMethod=FILE

Alerts

연락처 has 35 (60.3%) missing valuesMissing
비 고 has 19 (32.8%) missing valuesMissing
등록 번호 has unique valuesUnique
대표자 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-09-29 01:25:14.836586
Analysis finished2023-09-29 01:25:20.449878
Duration5.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록 번호
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-09-29T01:25:20.879979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.8448276
Min length3

Characters and Unicode

Total characters223
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row제1호
2nd row제2호
3rd row제3호
4th row제4호
5th row제5호
ValueCountFrequency (%)
제1호 1
 
1.7%
제43호 1
 
1.7%
제57호 1
 
1.7%
제32호 1
 
1.7%
제33호 1
 
1.7%
제34호 1
 
1.7%
제35호 1
 
1.7%
제36호 1
 
1.7%
제37호 1
 
1.7%
제38호 1
 
1.7%
Other values (48) 48
82.8%
2023-09-29T01:25:22.915957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 58
26.0%
호 58
26.0%
1 16
 
7.2%
4 16
 
7.2%
2 16
 
7.2%
3 16
 
7.2%
5 15
 
6.7%
8 6
 
2.7%
6 6
 
2.7%
7 6
 
2.7%
Other values (2) 10
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116
52.0%
Decimal Number 107
48.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
15.0%
4 16
15.0%
2 16
15.0%
3 16
15.0%
5 15
14.0%
8 6
 
5.6%
6 6
 
5.6%
7 6
 
5.6%
9 5
 
4.7%
0 5
 
4.7%
Other Letter
ValueCountFrequency (%)
제 58
50.0%
호 58
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116
52.0%
Common 107
48.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 16
15.0%
4 16
15.0%
2 16
15.0%
3 16
15.0%
5 15
14.0%
8 6
 
5.6%
6 6
 
5.6%
7 6
 
5.6%
9 5
 
4.7%
0 5
 
4.7%
Hangul
ValueCountFrequency (%)
제 58
50.0%
호 58
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116
52.0%
ASCII 107
48.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 58
50.0%
호 58
50.0%
ASCII
ValueCountFrequency (%)
1 16
15.0%
4 16
15.0%
2 16
15.0%
3 16
15.0%
5 15
14.0%
8 6
 
5.6%
6 6
 
5.6%
7 6
 
5.6%
9 5
 
4.7%
0 5
 
4.7%

등록일자
Date

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2003-09-09 00:00:00
Maximum2015-03-09 00:00:00
2023-09-29T01:25:24.804487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-09-29T01:25:26.647512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표자
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-09-29T01:25:28.256963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.4137931
Min length3

Characters and Unicode

Total characters198
Distinct characters83
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row권태형
2nd row김태조
3rd row강봉기
4th row김재권
5th row문종혁
ValueCountFrequency (%)
김동만 2
 
3.1%
권태형 1
 
1.6%
박창진 1
 
1.6%
박영식 1
 
1.6%
서동남 1
 
1.6%
성모경 1
 
1.6%
곽상의 1
 
1.6%
김형주 1
 
1.6%
박해상 1
 
1.6%
전이수 1
 
1.6%
Other values (53) 53
82.8%
2023-09-29T01:25:30.305921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 18
 
9.1%
이 10
 
5.1%
태 9
 
4.5%
6
 
3.0%
진 6
 
3.0%
박 5
 
2.5%
영 5
 
2.5%
동 5
 
2.5%
희 4
 
2.0%
재 4
 
2.0%
Other values (73) 126
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
97.0%
Space Separator 6
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 18
 
9.4%
이 10
 
5.2%
태 9
 
4.7%
진 6
 
3.1%
박 5
 
2.6%
영 5
 
2.6%
동 5
 
2.6%
희 4
 
2.1%
재 4
 
2.1%
남 4
 
2.1%
Other values (72) 122
63.5%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
97.0%
Common 6
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 18
 
9.4%
이 10
 
5.2%
태 9
 
4.7%
진 6
 
3.1%
박 5
 
2.6%
영 5
 
2.6%
동 5
 
2.6%
희 4
 
2.1%
재 4
 
2.1%
남 4
 
2.1%
Other values (72) 122
63.5%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
97.0%
ASCII 6
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 18
 
9.4%
이 10
 
5.2%
태 9
 
4.7%
진 6
 
3.1%
박 5
 
2.6%
영 5
 
2.6%
동 5
 
2.6%
희 4
 
2.1%
재 4
 
2.1%
남 4
 
2.1%
Other values (72) 122
63.5%
ASCII
ValueCountFrequency (%)
6
100.0%

상호명
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-09-29T01:25:31.146572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.6034483
Min length5

Characters and Unicode

Total characters499
Distinct characters102
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

Unique56 ?
Unique (%)96.6%

Sample

1st row(주) 태 진
2nd row(주) 창홍시앤시
3rd row유림건설(주)
4th row(주) 디 알 씨
5th row(주) 다원도시개발
ValueCountFrequency (%)
주 22
 
23.7%
건축사사무소 3
 
3.2%
신토도시정비 2
 
2.2%
주)유강에스앤디 1
 
1.1%
주)남명 1
 
1.1%
태 1
 
1.1%
진 1
 
1.1%
주)태산씨엠씨 1
 
1.1%
주)강산산업 1
 
1.1%
거상이앤씨 1
 
1.1%
Other values (59) 59
63.4%
2023-09-29T01:25:32.955924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 62
 
12.4%
( 56
 
11.2%
) 56
 
11.2%
35
 
7.0%
씨 24
 
4.8%
시 15
 
3.0%
도 9
 
1.8%
비 9
 
1.8%
앤 9
 
1.8%
엠 8
 
1.6%
Other values (92) 216
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
70.1%
Open Punctuation 56
 
11.2%
Close Punctuation 56
 
11.2%
Space Separator 35
 
7.0%
Other Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 62
 
17.7%
씨 24
 
6.9%
시 15
 
4.3%
도 9
 
2.6%
비 9
 
2.6%
앤 9
 
2.6%
엠 8
 
2.3%
디 8
 
2.3%
사 8
 
2.3%
정 8
 
2.3%
Other values (88) 190
54.3%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 352
70.5%
Common 147
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 62
 
17.6%
씨 24
 
6.8%
시 15
 
4.3%
도 9
 
2.6%
비 9
 
2.6%
앤 9
 
2.6%
엠 8
 
2.3%
디 8
 
2.3%
사 8
 
2.3%
정 8
 
2.3%
Other values (89) 192
54.5%
Common
ValueCountFrequency (%)
( 56
38.1%
) 56
38.1%
35
23.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
70.1%
ASCII 147
29.5%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 62
 
17.7%
씨 24
 
6.9%
시 15
 
4.3%
도 9
 
2.6%
비 9
 
2.6%
앤 9
 
2.6%
엠 8
 
2.3%
디 8
 
2.3%
사 8
 
2.3%
정 8
 
2.3%
Other values (88) 190
54.3%
ASCII
ValueCountFrequency (%)
( 56
38.1%
) 56
38.1%
35
23.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-09-29T01:25:34.067813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30.5
Mean length24.362069
Min length16

Characters and Unicode

Total characters1413
Distinct characters112
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 범어로 178(범어동)
2nd row대구광역시 수성구 범어3동 1-2
3rd row대구광역시 수성구 범어동 1-7
4th row대구광역시 수성구 범어3동 2-8
5th row대구광역시 중구 동인4가 380-2 1층
ValueCountFrequency (%)
대구광역시 58
 
20.4%
수성구 19
 
6.7%
중구 13
 
4.6%
동구 7
 
2.5%
달서구 6
 
2.1%
3층 5
 
1.8%
신천동 5
 
1.8%
남구 5
 
1.8%
북구 4
 
1.4%
범어동 4
 
1.4%
Other values (135) 158
55.6%
2023-09-29T01:25:36.345252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
 
16.0%
구 120
 
8.5%
동 74
 
5.2%
대 67
 
4.7%
광 59
 
4.2%
역 58
 
4.1%
시 58
 
4.1%
1 48
 
3.4%
2 44
 
3.1%
3 42
 
3.0%
Other values (102) 617
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 806
57.0%
Decimal Number 278
 
19.7%
Space Separator 226
 
16.0%
Dash Punctuation 33
 
2.3%
Open Punctuation 25
 
1.8%
Close Punctuation 25
 
1.8%
Other Punctuation 20
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 120
14.9%
동 74
 
9.2%
대 67
 
8.3%
광 59
 
7.3%
역 58
 
7.2%
시 58
 
7.2%
수 25
 
3.1%
로 24
 
3.0%
성 23
 
2.9%
층 21
 
2.6%
Other values (87) 277
34.4%
Decimal Number
ValueCountFrequency (%)
1 48
17.3%
2 44
15.8%
3 42
15.1%
0 27
9.7%
6 24
8.6%
4 24
8.6%
5 21
7.6%
7 19
 
6.8%
9 18
 
6.5%
8 11
 
4.0%
Space Separator
ValueCountFrequency (%)
226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 806
57.0%
Common 607
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 120
14.9%
동 74
 
9.2%
대 67
 
8.3%
광 59
 
7.3%
역 58
 
7.2%
시 58
 
7.2%
수 25
 
3.1%
로 24
 
3.0%
성 23
 
2.9%
층 21
 
2.6%
Other values (87) 277
34.4%
Common
ValueCountFrequency (%)
226
37.2%
1 48
 
7.9%
2 44
 
7.2%
3 42
 
6.9%
- 33
 
5.4%
0 27
 
4.4%
( 25
 
4.1%
) 25
 
4.1%
6 24
 
4.0%
4 24
 
4.0%
Other values (5) 89
 
14.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 806
57.0%
ASCII 607
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
37.2%
1 48
 
7.9%
2 44
 
7.2%
3 42
 
6.9%
- 33
 
5.4%
0 27
 
4.4%
( 25
 
4.1%
) 25
 
4.1%
6 24
 
4.0%
4 24
 
4.0%
Other values (5) 89
 
14.7%
Hangul
ValueCountFrequency (%)
구 120
14.9%
동 74
 
9.2%
대 67
 
8.3%
광 59
 
7.3%
역 58
 
7.2%
시 58
 
7.2%
수 25
 
3.1%
로 24
 
3.0%
성 23
 
2.9%
층 21
 
2.6%
Other values (87) 277
34.4%

연락처
Text

MISSING 

Distinct22
Distinct (%)95.7%
Missing35
Missing (%)60.3%
Memory size596.0 B
2023-09-29T01:25:37.158726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique21 ?
Unique (%)91.3%

Sample

1st row053-744-6339
2nd row053-355-1630
3rd row053-655-7078
4th row053-555-6951
5th row053-751-8703
ValueCountFrequency (%)
053-323-5101 2
 
8.7%
053-744-6339 1
 
4.3%
053-253-8834 1
 
4.3%
053-763-7672 1
 
4.3%
053-253-8787 1
 
4.3%
053-254-0510 1
 
4.3%
053-746-6027 1
 
4.3%
053-427-1200 1
 
4.3%
053-768-6606 1
 
4.3%
053-719-2899 1
 
4.3%
Other values (12) 12
52.2%
2023-09-29T01:25:38.483869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.7%
0 44
15.9%
5 42
15.2%
3 42
15.2%
7 21
7.6%
6 17
 
6.2%
2 16
 
5.8%
1 14
 
5.1%
8 13
 
4.7%
4 11
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
19.1%
5 42
18.3%
3 42
18.3%
7 21
9.1%
6 17
 
7.4%
2 16
 
7.0%
1 14
 
6.1%
8 13
 
5.7%
4 11
 
4.8%
9 10
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.7%
0 44
15.9%
5 42
15.2%
3 42
15.2%
7 21
7.6%
6 17
 
6.2%
2 16
 
5.8%
1 14
 
5.1%
8 13
 
4.7%
4 11
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.7%
0 44
15.9%
5 42
15.2%
3 42
15.2%
7 21
7.6%
6 17
 
6.2%
2 16
 
5.8%
1 14
 
5.1%
8 13
 
4.7%
4 11
 
4.0%

비 고
Text

MISSING 

Distinct34
Distinct (%)87.2%
Missing19
Missing (%)32.8%
Memory size596.0 B
2023-09-29T01:25:38.959666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length15.25641
Min length13

Characters and Unicode

Total characters595
Distinct characters30
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

Unique32 ?
Unique (%)82.1%

Sample

1st row2014.7.11 등록취소
2nd row2006.7.25 등록취소
3rd row2006.7.25 등록취소
4th row2004.10.2 등록취소
5th row2011.4.25 등록취소
ValueCountFrequency (%)
등록취소 34
36.2%
2006.7.25 5
 
5.3%
소재지 5
 
5.3%
이관 5
 
5.3%
2 2
 
2.1%
2009 2
 
2.1%
울산광역시로 2
 
2.1%
서울특별시로 2
 
2.1%
2004.10.2 2
 
2.1%
2009.2.4 1
 
1.1%
Other values (34) 34
36.2%
2023-09-29T01:25:40.258813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 78
13.1%
0 76
12.8%
2 67
11.3%
55
9.2%
1 42
 
7.1%
소 39
 
6.6%
취 34
 
5.7%
등 34
 
5.7%
록 34
 
5.7%
4 20
 
3.4%
Other values (20) 116
19.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 271
45.5%
Other Letter 191
32.1%
Other Punctuation 78
 
13.1%
Space Separator 55
 
9.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 39
20.4%
취 34
17.8%
등 34
17.8%
록 34
17.8%
이 5
 
2.6%
관 5
 
2.6%
시 5
 
2.6%
로 5
 
2.6%
재 5
 
2.6%
지 5
 
2.6%
Other values (8) 20
10.5%
Decimal Number
ValueCountFrequency (%)
0 76
28.0%
2 67
24.7%
1 42
15.5%
4 20
 
7.4%
7 16
 
5.9%
6 13
 
4.8%
5 12
 
4.4%
8 11
 
4.1%
9 7
 
2.6%
3 7
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 78
100.0%
Space Separator
ValueCountFrequency (%)
55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 404
67.9%
Hangul 191
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 39
20.4%
취 34
17.8%
등 34
17.8%
록 34
17.8%
이 5
 
2.6%
관 5
 
2.6%
시 5
 
2.6%
로 5
 
2.6%
재 5
 
2.6%
지 5
 
2.6%
Other values (8) 20
10.5%
Common
ValueCountFrequency (%)
. 78
19.3%
0 76
18.8%
2 67
16.6%
55
13.6%
1 42
10.4%
4 20
 
5.0%
7 16
 
4.0%
6 13
 
3.2%
5 12
 
3.0%
8 11
 
2.7%
Other values (2) 14
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 404
67.9%
Hangul 191
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 78
19.3%
0 76
18.8%
2 67
16.6%
55
13.6%
1 42
10.4%
4 20
 
5.0%
7 16
 
4.0%
6 13
 
3.2%
5 12
 
3.0%
8 11
 
2.7%
Other values (2) 14
 
3.5%
Hangul
ValueCountFrequency (%)
소 39
20.4%
취 34
17.8%
등 34
17.8%
록 34
17.8%
이 5
 
2.6%
관 5
 
2.6%
시 5
 
2.6%
로 5
 
2.6%
재 5
 
2.6%
지 5
 
2.6%
Other values (8) 20
10.5%

Correlations

2023-09-29T01:25:40.820558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록 번호등록일자대표자상호명소재지연락처비 고
등록 번호1.0001.0001.0001.0001.0001.0001.000
등록일자1.0001.0001.0000.9911.0001.0000.975
대표자1.0001.0001.0001.0001.0001.0001.000
상호명1.0000.9911.0001.0001.0001.0000.975
소재지1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
비 고1.0000.9751.0000.9751.0001.0001.000

Missing values

2023-09-29T01:25:19.023900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-29T01:25:19.572522image/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.
2023-09-29T01:25:20.144749image/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

등록 번호등록일자대표자상호명소재지연락처비 고
0제1호2003-09-09권태형(주) 태 진대구광역시 수성구 범어로 178(범어동)<NA>2014.7.11 등록취소
1제2호2003-09-22김태조(주) 창홍시앤시대구광역시 수성구 범어3동 1-2<NA>2006.7.25 등록취소
2제3호2003-10-07강봉기유림건설(주)대구광역시 수성구 범어동 1-7<NA>2006.7.25 등록취소
3제4호2003-10-11김재권(주) 디 알 씨대구광역시 수성구 범어3동 2-8<NA>2004.10.2 등록취소
4제5호2003-10-13문종혁(주) 다원도시개발대구광역시 중구 동인4가 380-2 1층<NA>2011.4.25 등록취소
5제6호2003-10-22김점균(주) 주성시엠시대구광역시 수성구 만촌동 1356-22<NA>2009.4.22 서울특별시로 소재지 이관
6제7호2003-10-23고중백(주) 코스마씨앤엠대구광역시 동구 동부로30길 101, 다원빌딩6층 (신천동)053-744-6339<NA>
7제8호2003-10-30신용우(주) 글로벌주거정비대구광역시 동구 신천동 317-2번지 3층<NA>2009.5.27 등록취소
8제9호2003-10-30김병식(주) 가람에스엠대구광역시 서구 평리동 719-8<NA>2008.5.30 등록취소
9제10호2003-10-31김벽윤태영도시정비 (주)대구광역시 북구 원대로 97(노원동1가)053-355-1630<NA>
등록 번호등록일자대표자상호명소재지연락처비 고
48제49호2013-07-31유재희(주)동원기술단대구광역시 남구 양지로 142, 3층 (대명동)053-719-2899<NA>
49제50호2014-03-06장동진(주)주원도시정비대구광역시 수성구 상화로 27-1, 2층(상동)053-768-6606<NA>
50제51호2014-03-25이공조 김영주(주) 리뉴얼대구광역시 중구 경상감영길 101, 3층 307호 (포정동, 중앙상가)053-427-12002014.12.03 등록취소
51제52호2014-04-10엄춘흠가람컬리션(주)대구광역시 수성구 청솔로 136, 202호(범어동, 진홍빌딩)053-746-6027<NA>
52제53호2014-06-20서성경 한태균㈜글로벌 주거정비대구광역시 중구 동덕로 36길 4, 2층 (동인동2가)053-254-0510<NA>
53제54호2014-07-01윤강모(주)남명대구광역시 북구 칠곡중앙대로 500, 2층(읍내동, 에이원빌딩)053-323-5101<NA>
54제55호2014-10-08남기복(주)유강에스앤디대구광역시 중구 국채보상로 532, 4층(수동)053-253-8787<NA>
55제56호2014-12-22이희자(주)태영디엔시대구광역시 수성구 청솔로 66, 2층(범어동)053-763-7672<NA>
56제57호2015-02-10김재학 박영식(주)태산씨엠씨대구광역시 중구 명륜로 58, 3층(남산동)053-253-8834<NA>
57제58호2015-03-09이남구㈜도시재생기획원대구광역시 남구 봉덕로10길 6(봉덕동, 1층)053-243-3699<NA>