Overview

Dataset statistics

Number of variables6
Number of observations626
Missing cells24
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.1 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description대구광역시_수성구_전문건설업현황_20230911
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15054519&dataSetDetailId=150545191e99fdae7cce4&provdMethod=FILE

Alerts

전화번호 has 22 (3.5%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 20:03:13.416459
Analysis finished2023-12-10 20:03:15.465002
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct626
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313.5
Minimum1
Maximum626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2023-12-11T05:03:15.561892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.25
Q1157.25
median313.5
Q3469.75
95-th percentile594.75
Maximum626
Range625
Interquartile range (IQR)312.5

Descriptive statistics

Standard deviation180.85491
Coefficient of variation (CV)0.57688968
Kurtosis-1.2
Mean313.5
Median Absolute Deviation (MAD)156.5
Skewness0
Sum196251
Variance32708.5
MonotonicityStrictly increasing
2023-12-11T05:03:15.753579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
422 1
 
0.2%
415 1
 
0.2%
416 1
 
0.2%
417 1
 
0.2%
418 1
 
0.2%
419 1
 
0.2%
420 1
 
0.2%
421 1
 
0.2%
423 1
 
0.2%
Other values (616) 616
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 (%)
626 1
0.2%
625 1
0.2%
624 1
0.2%
623 1
0.2%
622 1
0.2%
621 1
0.2%
620 1
0.2%
619 1
0.2%
618 1
0.2%
617 1
0.2%
Distinct495
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-11T05:03:16.067945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7.3945687
Min length2

Characters and Unicode

Total characters4629
Distinct characters276
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

Unique397 ?
Unique (%)63.4%

Sample

1st row(주)1.2.3데코레이션
2nd row(주)1.2.3데코레이션
3rd row(주)가야산업개발
4th row(주)가현건설
5th row(주)가현건설
ValueCountFrequency (%)
주)엠와이건설 5
 
0.8%
토원건설(주 5
 
0.8%
주)태명건설 4
 
0.6%
삼화건업(주 4
 
0.6%
주)미화건설 4
 
0.6%
대도토건(주 4
 
0.6%
초전산업(주 4
 
0.6%
주식회사일해 4
 
0.6%
주)통일중원 3
 
0.5%
주식회사남양토건 3
 
0.5%
Other values (485) 586
93.6%
2023-12-11T05:03:16.986801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
525
 
11.3%
( 458
 
9.9%
) 458
 
9.9%
218
 
4.7%
193
 
4.2%
122
 
2.6%
73
 
1.6%
72
 
1.6%
64
 
1.4%
62
 
1.3%
Other values (266) 2384
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3676
79.4%
Open Punctuation 458
 
9.9%
Close Punctuation 458
 
9.9%
Uppercase Letter 22
 
0.5%
Decimal Number 10
 
0.2%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
525
 
14.3%
218
 
5.9%
193
 
5.3%
122
 
3.3%
73
 
2.0%
72
 
2.0%
64
 
1.7%
62
 
1.7%
60
 
1.6%
59
 
1.6%
Other values (254) 2228
60.6%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
3 3
30.0%
2 2
20.0%
6 1
 
10.0%
7 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
E 7
31.8%
N 7
31.8%
G 7
31.8%
B 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 458
100.0%
Close Punctuation
ValueCountFrequency (%)
) 458
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3676
79.4%
Common 931
 
20.1%
Latin 22
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
525
 
14.3%
218
 
5.9%
193
 
5.3%
122
 
3.3%
73
 
2.0%
72
 
2.0%
64
 
1.7%
62
 
1.7%
60
 
1.6%
59
 
1.6%
Other values (254) 2228
60.6%
Common
ValueCountFrequency (%)
( 458
49.2%
) 458
49.2%
. 5
 
0.5%
1 3
 
0.3%
3 3
 
0.3%
2 2
 
0.2%
6 1
 
0.1%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
E 7
31.8%
N 7
31.8%
G 7
31.8%
B 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3676
79.4%
ASCII 953
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
525
 
14.3%
218
 
5.9%
193
 
5.3%
122
 
3.3%
73
 
2.0%
72
 
2.0%
64
 
1.7%
62
 
1.7%
60
 
1.6%
59
 
1.6%
Other values (254) 2228
60.6%
ASCII
ValueCountFrequency (%)
( 458
48.1%
) 458
48.1%
E 7
 
0.7%
N 7
 
0.7%
G 7
 
0.7%
. 5
 
0.5%
1 3
 
0.3%
3 3
 
0.3%
2 2
 
0.2%
6 1
 
0.1%
Other values (2) 2
 
0.2%

업종
Categorical

Distinct14
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
실내건축공사업
119 
가스난방공사업
111 
기계가스설비공사업
63 
시설물유지관리업
57 
도장ㆍ습식ㆍ방수ㆍ석공사업
56 
Other values (9)
220 

Length

Max length15
Median length13
Mean length9.3610224
Min length7

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row실내건축공사업
2nd row시설물유지관리업
3rd row기계가스설비공사업
4th row시설물유지관리업
5th row실내건축공사업

Common Values

ValueCountFrequency (%)
실내건축공사업 119
19.0%
가스난방공사업 111
17.7%
기계가스설비공사업 63
10.1%
시설물유지관리업 57
9.1%
도장ㆍ습식ㆍ방수ㆍ석공사업 56
8.9%
금속창호ㆍ지붕건축물조립공사업 51
8.1%
지반조성ㆍ포장공사업 45
 
7.2%
상ㆍ하수도설비공사업 38
 
6.1%
조경식재ㆍ시설물공사업 31
 
5.0%
철근ㆍ콘크리트공사업 29
 
4.6%
Other values (4) 26
 
4.2%

Length

2023-12-11T05:03:17.198295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내건축공사업 119
19.0%
가스난방공사업 111
17.7%
기계가스설비공사업 63
10.1%
시설물유지관리업 57
9.1%
도장ㆍ습식ㆍ방수ㆍ석공사업 56
8.9%
금속창호ㆍ지붕건축물조립공사업 51
8.1%
지반조성ㆍ포장공사업 45
 
7.2%
상ㆍ하수도설비공사업 38
 
6.1%
조경식재ㆍ시설물공사업 31
 
5.0%
철근ㆍ콘크리트공사업 29
 
4.6%
Other values (4) 26
 
4.2%
Distinct476
Distinct (%)76.3%
Missing2
Missing (%)0.3%
Memory size5.0 KiB
2023-12-11T05:03:17.570575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length27.216346
Min length17

Characters and Unicode

Total characters16983
Distinct characters181
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique372 ?
Unique (%)59.6%

Sample

1st row대구광역시 수성구 들안로 218 (황금동)
2nd row대구광역시 수성구 들안로 218 (황금동)
3rd row대구광역시 수성구 공경로 12 (만촌동)
4th row대구광역시 수성구 충의로6길 46 대경하이빌 지하층102호 (만촌동)
5th row대구광역시 수성구 충의로6길 46 대경하이빌 지하층102호 (만촌동)
ValueCountFrequency (%)
수성구 624
 
18.6%
대구광역시 618
 
18.4%
만촌동 112
 
3.3%
지산동 61
 
1.8%
범어동 54
 
1.6%
2층 53
 
1.6%
황금동 42
 
1.3%
3층 39
 
1.2%
1층 36
 
1.1%
지범로 29
 
0.9%
Other values (661) 1683
50.2%
2023-12-11T05:03:18.101606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2727
 
16.1%
1318
 
7.8%
726
 
4.3%
718
 
4.2%
718
 
4.2%
695
 
4.1%
686
 
4.0%
626
 
3.7%
620
 
3.7%
619
 
3.6%
Other values (171) 7530
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9974
58.7%
Decimal Number 2794
 
16.5%
Space Separator 2727
 
16.1%
Open Punctuation 593
 
3.5%
Close Punctuation 592
 
3.5%
Other Punctuation 158
 
0.9%
Dash Punctuation 142
 
0.8%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1318
13.2%
726
 
7.3%
718
 
7.2%
718
 
7.2%
695
 
7.0%
686
 
6.9%
626
 
6.3%
620
 
6.2%
619
 
6.2%
300
 
3.0%
Other values (151) 2948
29.6%
Decimal Number
ValueCountFrequency (%)
1 568
20.3%
2 534
19.1%
3 338
12.1%
4 282
10.1%
0 237
8.5%
5 211
 
7.6%
6 179
 
6.4%
7 162
 
5.8%
9 149
 
5.3%
8 134
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 130
82.3%
27
 
17.1%
. 1
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
A 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
2727
100.0%
Open Punctuation
ValueCountFrequency (%)
( 593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 592
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9974
58.7%
Common 7006
41.3%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1318
13.2%
726
 
7.3%
718
 
7.2%
718
 
7.2%
695
 
7.0%
686
 
6.9%
626
 
6.3%
620
 
6.2%
619
 
6.2%
300
 
3.0%
Other values (151) 2948
29.6%
Common
ValueCountFrequency (%)
2727
38.9%
( 593
 
8.5%
) 592
 
8.4%
1 568
 
8.1%
2 534
 
7.6%
3 338
 
4.8%
4 282
 
4.0%
0 237
 
3.4%
5 211
 
3.0%
6 179
 
2.6%
Other values (7) 745
 
10.6%
Latin
ValueCountFrequency (%)
B 1
33.3%
A 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9974
58.7%
ASCII 6982
41.1%
None 27
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2727
39.1%
( 593
 
8.5%
) 592
 
8.5%
1 568
 
8.1%
2 534
 
7.6%
3 338
 
4.8%
4 282
 
4.0%
0 237
 
3.4%
5 211
 
3.0%
6 179
 
2.6%
Other values (9) 721
 
10.3%
Hangul
ValueCountFrequency (%)
1318
13.2%
726
 
7.3%
718
 
7.2%
718
 
7.2%
695
 
7.0%
686
 
6.9%
626
 
6.3%
620
 
6.2%
619
 
6.2%
300
 
3.0%
Other values (151) 2948
29.6%
None
ValueCountFrequency (%)
27
100.0%
Distinct485
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-11T05:03:18.372971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length21.239617
Min length13

Characters and Unicode

Total characters13296
Distinct characters135
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique385 ?
Unique (%)61.5%

Sample

1st row대구 수성구 황금동 753-1
2nd row대구 수성구 황금동 753-1
3rd row대구 수성구 만촌동 673-43
4th row대구광역시 수성구 만촌동 991-48 대경하이빌 지하층102호
5th row대구광역시 수성구 만촌동 991-48 대경하이빌 지하층102호
ValueCountFrequency (%)
수성구 626
22.0%
대구광역시 457
 
16.0%
대구 157
 
5.5%
만촌동 124
 
4.4%
지산동 71
 
2.5%
2층 65
 
2.3%
범어동 64
 
2.2%
3층 52
 
1.8%
황금동 47
 
1.7%
1층 40
 
1.4%
Other values (592) 1145
40.2%
2023-12-11T05:03:18.845643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2222
16.7%
1253
 
9.4%
1 736
 
5.5%
701
 
5.3%
697
 
5.2%
666
 
5.0%
651
 
4.9%
- 579
 
4.4%
499
 
3.8%
2 480
 
3.6%
Other values (125) 4812
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7064
53.1%
Decimal Number 3367
25.3%
Space Separator 2222
 
16.7%
Dash Punctuation 579
 
4.4%
Other Punctuation 37
 
0.3%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1253
17.7%
701
9.9%
697
9.9%
666
9.4%
651
9.2%
499
 
7.1%
458
 
6.5%
457
 
6.5%
206
 
2.9%
133
 
1.9%
Other values (105) 1343
19.0%
Decimal Number
ValueCountFrequency (%)
1 736
21.9%
2 480
14.3%
3 381
11.3%
4 340
10.1%
0 292
 
8.7%
7 260
 
7.7%
5 246
 
7.3%
6 232
 
6.9%
9 219
 
6.5%
8 181
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 26
70.3%
6
 
16.2%
. 5
 
13.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
2222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 579
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7064
53.1%
Common 6229
46.8%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1253
17.7%
701
9.9%
697
9.9%
666
9.4%
651
9.2%
499
 
7.1%
458
 
6.5%
457
 
6.5%
206
 
2.9%
133
 
1.9%
Other values (105) 1343
19.0%
Common
ValueCountFrequency (%)
2222
35.7%
1 736
 
11.8%
- 579
 
9.3%
2 480
 
7.7%
3 381
 
6.1%
4 340
 
5.5%
0 292
 
4.7%
7 260
 
4.2%
5 246
 
3.9%
6 232
 
3.7%
Other values (7) 461
 
7.4%
Latin
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7064
53.1%
ASCII 6226
46.8%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2222
35.7%
1 736
 
11.8%
- 579
 
9.3%
2 480
 
7.7%
3 381
 
6.1%
4 340
 
5.5%
0 292
 
4.7%
7 260
 
4.2%
5 246
 
4.0%
6 232
 
3.7%
Other values (9) 458
 
7.4%
Hangul
ValueCountFrequency (%)
1253
17.7%
701
9.9%
697
9.9%
666
9.4%
651
9.2%
499
 
7.1%
458
 
6.5%
457
 
6.5%
206
 
2.9%
133
 
1.9%
Other values (105) 1343
19.0%
None
ValueCountFrequency (%)
6
100.0%

전화번호
Text

MISSING 

Distinct463
Distinct (%)76.7%
Missing22
Missing (%)3.5%
Memory size5.0 KiB
2023-12-11T05:03:19.159332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029801
Min length11

Characters and Unicode

Total characters7266
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

Unique360 ?
Unique (%)59.6%

Sample

1st row053-422-0123
2nd row053-422-0123
3rd row053-751-0426
4th row053-794-1183
5th row053-794-1183
ValueCountFrequency (%)
053-954-0025 5
 
0.8%
053-813-8390 5
 
0.8%
053-751-0551 4
 
0.7%
053-000-0000 4
 
0.7%
053-939-1164 4
 
0.7%
053-764-0114 4
 
0.7%
053-768-7684 4
 
0.7%
053-784-5300 4
 
0.7%
053-744-3500 4
 
0.7%
053-742-1141 4
 
0.7%
Other values (453) 562
93.0%
2023-12-11T05:03:19.624655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1208
16.6%
0 1116
15.4%
5 1029
14.2%
3 938
12.9%
7 704
9.7%
6 512
7.0%
4 414
 
5.7%
1 385
 
5.3%
8 345
 
4.7%
2 341
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6058
83.4%
Dash Punctuation 1208
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1116
18.4%
5 1029
17.0%
3 938
15.5%
7 704
11.6%
6 512
8.5%
4 414
 
6.8%
1 385
 
6.4%
8 345
 
5.7%
2 341
 
5.6%
9 274
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 1208
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1208
16.6%
0 1116
15.4%
5 1029
14.2%
3 938
12.9%
7 704
9.7%
6 512
7.0%
4 414
 
5.7%
1 385
 
5.3%
8 345
 
4.7%
2 341
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1208
16.6%
0 1116
15.4%
5 1029
14.2%
3 938
12.9%
7 704
9.7%
6 512
7.0%
4 414
 
5.7%
1 385
 
5.3%
8 345
 
4.7%
2 341
 
4.7%

Interactions

2023-12-11T05:03:14.894222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T05:03:19.788576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종
번호1.0000.396
업종0.3961.000
2023-12-11T05:03:19.892417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종
번호1.0000.171
업종0.1711.000

Missing values

2023-12-11T05:03:15.100972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T05:03:15.246304image/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.
2023-12-11T05:03:15.401395image/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

번호업체명업종도로명주소지번주소전화번호
01(주)1.2.3데코레이션실내건축공사업대구광역시 수성구 들안로 218 (황금동)대구 수성구 황금동 753-1053-422-0123
12(주)1.2.3데코레이션시설물유지관리업대구광역시 수성구 들안로 218 (황금동)대구 수성구 황금동 753-1053-422-0123
23(주)가야산업개발기계가스설비공사업대구광역시 수성구 공경로 12 (만촌동)대구 수성구 만촌동 673-43053-751-0426
34(주)가현건설시설물유지관리업대구광역시 수성구 충의로6길 46 대경하이빌 지하층102호 (만촌동)대구광역시 수성구 만촌동 991-48 대경하이빌 지하층102호053-794-1183
45(주)가현건설실내건축공사업대구광역시 수성구 충의로6길 46 대경하이빌 지하층102호 (만촌동)대구광역시 수성구 만촌동 991-48 대경하이빌 지하층102호053-794-1183
56(주)가화디자인실내건축공사업대구광역시 수성구 화랑로34길 69(만촌동)대구광역시 수성구 만촌동 346053-286-1236
67(주)가희에너지기계가스설비공사업대구광역시 수성구 들안로28길 98 (황금동)대구광역시 수성구 황금동 805053-766-2622
78(주)강동이앤씨기계가스설비공사업대구광역시 수성구 노변공원로 7 2층 (시지동)대구광역시 수성구 시지동 508-3 2층053-746-1017
89(주)강민주택가스난방공사업대구광역시 수성구 국채보상로 978 2층 (범어동)대구광역시 수성구 범어동 426-6 2층<NA>
910(주)강산건설도장ㆍ습식ㆍ방수ㆍ석공사업대구광역시 수성구 들안로 220 (황금동)대구 수성구 황금동 709-5053-768-9006
번호업체명업종도로명주소지번주소전화번호
616617현대조경아이피엠영농조합법인조경식재ㆍ시설물공사업대구광역시 수성구 천을로 261 (사월동)대구광역시 수성구 사월동 225-1053-751-0042
617618협진건축종합설비가스난방공사업대구광역시 수성구 들안로73길 25 (수성동4가)대구 수성구 수성동4가 1057-7053-753-4689
618619형제설비.엔지니어링가스난방공사업대구광역시 수성구 신천동로 426대구광역시 수성구 수성동4가 1224-12053-742-7856
619620혜민설비가스난방공사업대구광역시 수성구 국채보상로192길 7 (범어동)대구광역시 수성구 범어동 428-16<NA>
620621호청설비가스난방공사업대구광역시 수성구 청솔로12길 11 (범어동)대구 수성구 범어1동 806-55053-766-1875
621622홍라조경조경식재ㆍ시설물공사업대구광역시 수성구 수성로 50, 1층(상동)대구광역시 수성구 상동 419-1 1층070-8862-9379
622623홍일건설(주)구조물해체ㆍ비계공사업대구광역시 수성구 파동로22길 24 3층 (파동)대구광역시 수성구 파동 236-2 3층053-767-6661
623624화산기업가스난방공사업대구광역시 수성구 파동로30길 11-1 (파동)대구광역시 수성구 파동 128-13053-764-8228
624625화성산업(주)철강구조물공사업대구광역시 수성구 동대구로 111 (황금동)대구시 수성구 황금동 847-2053-760-3730
625626화인시스템(주)기계가스설비공사업대구광역시 수성구 알파시티1로31길 5 (대흥동)대구광역시 수성구 대흥동 857-1053-817-8023