Overview

Dataset statistics

Number of variables7
Number of observations871
Missing cells44
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.8 KiB
Average record size in memory56.1 B

Variable types

Text4
Categorical1
DateTime2

Dataset

Description춘천시 건설업 등록 현황에 대한 데이터로 업체명, 업종, 등록번호, 등록일자, 도로명 주소, 전화번호, 데이터 기준일 등의 데이터가 포함되어 있다.
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15126683/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 39 (4.5%) missing valuesMissing

Reproduction

Analysis started2024-03-14 12:38:18.718678
Analysis finished2024-03-14 12:38:19.991620
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct627
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-03-14T21:38:20.994358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length6.9770379
Min length2

Characters and Unicode

Total characters6077
Distinct characters312
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

Unique449 ?
Unique (%)51.5%

Sample

1st row(주)가경건설
2nd row(주)가람
3rd row(주)가림이앤씨
4th row(주)가림이앤씨
5th row(주)가림이앤씨
ValueCountFrequency (%)
알지기술(주 6
 
0.7%
주)제이에이치 5
 
0.6%
합)세가온 5
 
0.6%
주)대화 4
 
0.5%
합)대방피앤씨 4
 
0.5%
티에스건설(주 4
 
0.5%
주)유성 4
 
0.5%
주)봄내글로벌 4
 
0.5%
주)풍국 4
 
0.5%
합)한빛환경 4
 
0.5%
Other values (617) 827
94.9%
2024-03-14T21:38:22.368303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 709
 
11.7%
) 709
 
11.7%
주 645
 
10.6%
설 299
 
4.9%
건 298
 
4.9%
이 135
 
2.2%
합 115
 
1.9%
산 94
 
1.5%
스 80
 
1.3%
에 80
 
1.3%
Other values (302) 2913
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4633
76.2%
Open Punctuation 709
 
11.7%
Close Punctuation 709
 
11.7%
Uppercase Letter 10
 
0.2%
Lowercase Letter 6
 
0.1%
Decimal Number 5
 
0.1%
Other Punctuation 3
 
< 0.1%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 645
 
13.9%
설 299
 
6.5%
건 298
 
6.4%
이 135
 
2.9%
합 115
 
2.5%
산 94
 
2.0%
스 80
 
1.7%
에 80
 
1.7%
업 78
 
1.7%
대 76
 
1.6%
Other values (283) 2733
59.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
t 1
16.7%
m 1
16.7%
e 1
16.7%
y 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
G 2
20.0%
N 2
20.0%
E 2
20.0%
S 2
20.0%
C 2
20.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
8 2
40.0%
9 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 709
100.0%
Close Punctuation
ValueCountFrequency (%)
) 709
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4634
76.3%
Common 1427
 
23.5%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 645
 
13.9%
설 299
 
6.5%
건 298
 
6.4%
이 135
 
2.9%
합 115
 
2.5%
산 94
 
2.0%
스 80
 
1.7%
에 80
 
1.7%
업 78
 
1.7%
대 76
 
1.6%
Other values (284) 2734
59.0%
Latin
ValueCountFrequency (%)
s 2
12.5%
G 2
12.5%
N 2
12.5%
E 2
12.5%
S 2
12.5%
C 2
12.5%
t 1
6.2%
m 1
6.2%
e 1
6.2%
y 1
6.2%
Common
ValueCountFrequency (%)
( 709
49.7%
) 709
49.7%
1 2
 
0.1%
8 2
 
0.1%
. 2
 
0.1%
9 1
 
0.1%
, 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4633
76.2%
ASCII 1443
 
23.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 709
49.1%
) 709
49.1%
1 2
 
0.1%
8 2
 
0.1%
s 2
 
0.1%
. 2
 
0.1%
G 2
 
0.1%
N 2
 
0.1%
E 2
 
0.1%
S 2
 
0.1%
Other values (8) 9
 
0.6%
Hangul
ValueCountFrequency (%)
주 645
 
13.9%
설 299
 
6.5%
건 298
 
6.4%
이 135
 
2.9%
합 115
 
2.5%
산 94
 
2.0%
스 80
 
1.7%
에 80
 
1.7%
업 78
 
1.7%
대 76
 
1.6%
Other values (283) 2733
59.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종
Categorical

Distinct11
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
도장ㆍ습식ㆍ방수ㆍ석공사업
129 
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업
127 
가스난방공사업
118 
조경식재ㆍ시설물공사업
93 
지반조성ㆍ포장공사업
89 
Other values (6)
315 

Length

Max length17
Median length11
Mean length10.918485
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상ㆍ하수도설비공사업
2nd row가스난방공사업
3rd row지반조성ㆍ포장공사업
4th row도장ㆍ습식ㆍ방수ㆍ석공사업
5th row금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업

Common Values

ValueCountFrequency (%)
도장ㆍ습식ㆍ방수ㆍ석공사업 129
14.8%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 127
14.6%
가스난방공사업 118
13.5%
조경식재ㆍ시설물공사업 93
10.7%
지반조성ㆍ포장공사업 89
10.2%
상ㆍ하수도설비공사업 73
8.4%
철근ㆍ콘크리트공사업 67
7.7%
실내건축공사업 67
7.7%
기계가스설비공사업 55
6.3%
구조물해체ㆍ비계공사업 49
 
5.6%

Length

2024-03-14T21:38:22.601484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도장ㆍ습식ㆍ방수ㆍ석공사업 129
14.8%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 127
14.6%
가스난방공사업 118
13.5%
조경식재ㆍ시설물공사업 93
10.7%
지반조성ㆍ포장공사업 89
10.2%
상ㆍ하수도설비공사업 73
8.4%
철근ㆍ콘크리트공사업 67
7.7%
실내건축공사업 67
7.7%
기계가스설비공사업 55
6.3%
구조물해체ㆍ비계공사업 49
 
5.6%

등록번호
Text

Distinct868
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2024-03-14T21:38:23.379331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length11.826636
Min length5

Characters and Unicode

Total characters10301
Distinct characters98
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique865 ?
Unique (%)99.3%

Sample

1st row춘천2014­11­01
2nd row춘천2015­28­07
3rd row춘천2023­가­02
4th row춘천2023­라­01
5th row춘천2023­다­02
ValueCountFrequency (%)
춘천 56
 
5.9%
경북영주 3
 
0.3%
춘천2019­27­07 2
 
0.2%
2012­06­01 2
 
0.2%
춘천1997­27­05 2
 
0.2%
충남부여 2
 
0.2%
춘천2016­28­01 1
 
0.1%
춘천2022­라­01 1
 
0.1%
춘천2014­11­01 1
 
0.1%
춘천2014­05­10 1
 
0.1%
Other values (875) 875
92.5%
2024-03-14T21:38:24.338974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2193
21.3%
­ 1747
17.0%
2 1515
14.7%
1 1180
11.5%
천 649
 
6.3%
춘 624
 
6.1%
3 271
 
2.6%
7 258
 
2.5%
9 242
 
2.3%
6 218
 
2.1%
Other values (88) 1404
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6459
62.7%
Other Letter 2020
 
19.6%
Format 1747
 
17.0%
Space Separator 75
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 649
32.1%
춘 624
30.9%
원 117
 
5.8%
강 109
 
5.4%
주 40
 
2.0%
경 29
 
1.4%
나 27
 
1.3%
북 25
 
1.2%
다 22
 
1.1%
남 21
 
1.0%
Other values (76) 357
17.7%
Decimal Number
ValueCountFrequency (%)
0 2193
34.0%
2 1515
23.5%
1 1180
18.3%
3 271
 
4.2%
7 258
 
4.0%
9 242
 
3.7%
6 218
 
3.4%
8 203
 
3.1%
5 193
 
3.0%
4 186
 
2.9%
Format
ValueCountFrequency (%)
­ 1747
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8281
80.4%
Hangul 2020
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 649
32.1%
춘 624
30.9%
원 117
 
5.8%
강 109
 
5.4%
주 40
 
2.0%
경 29
 
1.4%
나 27
 
1.3%
북 25
 
1.2%
다 22
 
1.1%
남 21
 
1.0%
Other values (76) 357
17.7%
Common
ValueCountFrequency (%)
0 2193
26.5%
­ 1747
21.1%
2 1515
18.3%
1 1180
14.2%
3 271
 
3.3%
7 258
 
3.1%
9 242
 
2.9%
6 218
 
2.6%
8 203
 
2.5%
5 193
 
2.3%
Other values (2) 261
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6534
63.4%
Hangul 2020
 
19.6%
None 1747
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2193
33.6%
2 1515
23.2%
1 1180
18.1%
3 271
 
4.1%
7 258
 
3.9%
9 242
 
3.7%
6 218
 
3.3%
8 203
 
3.1%
5 193
 
3.0%
4 186
 
2.8%
None
ValueCountFrequency (%)
­ 1747
100.0%
Hangul
ValueCountFrequency (%)
천 649
32.1%
춘 624
30.9%
원 117
 
5.8%
강 109
 
5.4%
주 40
 
2.0%
경 29
 
1.4%
나 27
 
1.3%
북 25
 
1.2%
다 22
 
1.1%
남 21
 
1.0%
Other values (76) 357
17.7%

등록일자
Date

Distinct674
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum1978-04-18 00:00:00
Maximum2024-02-07 00:00:00
2024-03-14T21:38:24.785102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:38:25.032484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도로명주소
Text

Distinct569
Distinct (%)65.7%
Missing5
Missing (%)0.6%
Memory size6.9 KiB
2024-03-14T21:38:26.316301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length27.809469
Min length14

Characters and Unicode

Total characters24083
Distinct characters226
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

Unique376 ?
Unique (%)43.4%

Sample

1st row춘천시 동내면 거두길 208-18
2nd row강원특별자치도 춘천시 동면 가산로 41
3rd row강원특별자치도 춘천시 남춘천길 24 (퇴계동)
4th row강원특별자치도 춘천시 남춘천길 24 (퇴계동)
5th row강원특별자치도 춘천시 남춘천길 24 (퇴계동)
ValueCountFrequency (%)
춘천시 866
 
18.1%
강원특별자치도 861
 
18.0%
동내면 185
 
3.9%
동면 108
 
2.3%
퇴계동 106
 
2.2%
2층 79
 
1.6%
후평동 79
 
1.6%
1층 70
 
1.5%
60
 
1.3%
석사동 58
 
1.2%
Other values (703) 2317
48.4%
2024-03-14T21:38:28.193866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3923
 
16.3%
춘 963
 
4.0%
자 955
 
4.0%
천 948
 
3.9%
강 896
 
3.7%
동 895
 
3.7%
원 892
 
3.7%
시 872
 
3.6%
치 867
 
3.6%
도 862
 
3.6%
Other values (216) 12010
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15237
63.3%
Space Separator 3923
 
16.3%
Decimal Number 3602
 
15.0%
Open Punctuation 463
 
1.9%
Close Punctuation 463
 
1.9%
Dash Punctuation 295
 
1.2%
Other Punctuation 97
 
0.4%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
춘 963
 
6.3%
자 955
 
6.3%
천 948
 
6.2%
강 896
 
5.9%
동 895
 
5.9%
원 892
 
5.9%
시 872
 
5.7%
치 867
 
5.7%
도 862
 
5.7%
별 861
 
5.7%
Other values (197) 6226
40.9%
Decimal Number
ValueCountFrequency (%)
1 858
23.8%
2 601
16.7%
4 373
10.4%
3 322
 
8.9%
5 293
 
8.1%
0 293
 
8.1%
6 254
 
7.1%
7 229
 
6.4%
8 218
 
6.1%
9 161
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
D 1
33.3%
E 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 86
88.7%
， 11
 
11.3%
Space Separator
ValueCountFrequency (%)
3923
100.0%
Open Punctuation
ValueCountFrequency (%)
( 463
100.0%
Close Punctuation
ValueCountFrequency (%)
) 463
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 295
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15237
63.3%
Common 8843
36.7%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
춘 963
 
6.3%
자 955
 
6.3%
천 948
 
6.2%
강 896
 
5.9%
동 895
 
5.9%
원 892
 
5.9%
시 872
 
5.7%
치 867
 
5.7%
도 862
 
5.7%
별 861
 
5.7%
Other values (197) 6226
40.9%
Common
ValueCountFrequency (%)
3923
44.4%
1 858
 
9.7%
2 601
 
6.8%
( 463
 
5.2%
) 463
 
5.2%
4 373
 
4.2%
3 322
 
3.6%
- 295
 
3.3%
5 293
 
3.3%
0 293
 
3.3%
Other values (6) 959
 
10.8%
Latin
ValueCountFrequency (%)
B 1
33.3%
D 1
33.3%
E 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15237
63.3%
ASCII 8835
36.7%
None 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3923
44.4%
1 858
 
9.7%
2 601
 
6.8%
( 463
 
5.2%
) 463
 
5.2%
4 373
 
4.2%
3 322
 
3.6%
- 295
 
3.3%
5 293
 
3.3%
0 293
 
3.3%
Other values (8) 951
 
10.8%
Hangul
ValueCountFrequency (%)
춘 963
 
6.3%
자 955
 
6.3%
천 948
 
6.2%
강 896
 
5.9%
동 895
 
5.9%
원 892
 
5.9%
시 872
 
5.7%
치 867
 
5.7%
도 862
 
5.7%
별 861
 
5.7%
Other values (197) 6226
40.9%
None
ValueCountFrequency (%)
， 11
100.0%

전화번호
Text

MISSING 

Distinct566
Distinct (%)68.0%
Missing39
Missing (%)4.5%
Memory size6.9 KiB
2024-03-14T21:38:29.146543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.020433
Min length11

Characters and Unicode

Total characters10001
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

Unique385 ?
Unique (%)46.3%

Sample

1st row033-261-5747
2nd row033-243-8204
3rd row031-709-0304
4th row031-709-0304
5th row031-709-0304
ValueCountFrequency (%)
033-262-1461 8
 
1.0%
033-262-2250 6
 
0.7%
033-254-9486 5
 
0.6%
033-254-1845 5
 
0.6%
033-257-2910 5
 
0.6%
033-263-2200 4
 
0.5%
033-243-4478 4
 
0.5%
033-264-8846 4
 
0.5%
033-254-5525 4
 
0.5%
033-261-2456 4
 
0.5%
Other values (556) 783
94.1%
2024-03-14T21:38:30.240685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2079
20.8%
- 1664
16.6%
0 1358
13.6%
2 1289
12.9%
4 713
 
7.1%
5 673
 
6.7%
6 662
 
6.6%
1 489
 
4.9%
7 406
 
4.1%
8 341
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8337
83.4%
Dash Punctuation 1664
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2079
24.9%
0 1358
16.3%
2 1289
15.5%
4 713
 
8.6%
5 673
 
8.1%
6 662
 
7.9%
1 489
 
5.9%
7 406
 
4.9%
8 341
 
4.1%
9 327
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 1664
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10001
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2079
20.8%
- 1664
16.6%
0 1358
13.6%
2 1289
12.9%
4 713
 
7.1%
5 673
 
6.7%
6 662
 
6.6%
1 489
 
4.9%
7 406
 
4.1%
8 341
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10001
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2079
20.8%
- 1664
16.6%
0 1358
13.6%
2 1289
12.9%
4 713
 
7.1%
5 673
 
6.7%
6 662
 
6.6%
1 489
 
4.9%
7 406
 
4.1%
8 341
 
3.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
Minimum2024-02-13 00:00:00
Maximum2024-02-13 00:00:00
2024-03-14T21:38:30.430236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:38:30.586910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-14T21:38:19.472968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:38:19.752242image/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.
2024-03-14T21:38:19.913700image/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

업체명업종등록번호등록일자도로명주소전화번호데이터기준일
0(주)가경건설상ㆍ하수도설비공사업춘천2014­11­012014-11-12춘천시 동내면 거두길 208-18033-261-57472024-02-13
1(주)가람가스난방공사업춘천2015­28­072015-09-11강원특별자치도 춘천시 동면 가산로 41033-243-82042024-02-13
2(주)가림이앤씨지반조성ㆍ포장공사업춘천2023­가­022023-03-09강원특별자치도 춘천시 남춘천길 24 (퇴계동)031-709-03042024-02-13
3(주)가림이앤씨도장ㆍ습식ㆍ방수ㆍ석공사업춘천2023­라­012023-03-09강원특별자치도 춘천시 남춘천길 24 (퇴계동)031-709-03042024-02-13
4(주)가림이앤씨금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업춘천2023­다­022023-03-09강원특별자치도 춘천시 남춘천길 24 (퇴계동)031-709-03042024-02-13
5(주)가인지반조성ㆍ포장공사업춘천2020­14­032020-03-11강원특별자치도 춘천시 동면 만천양지길 64 2층033-244-94122024-02-13
6(주)감자구조물해체ㆍ비계공사업춘천2023­사­012023-02-27강원특별자치도 춘천시 영서로 2784 , 2층 (우두동)033-244-95762024-02-13
7(주)강산측량설계공사철근ㆍ콘크리트공사업강원홍천16­09­112016-02-22강원특별자치도 춘천시 스포츠타운길 523 (온의동)033-255-39802024-02-13
8(주)강산측량설계공사상ㆍ하수도설비공사업강원홍천16­11­012016-02-22강원특별자치도 춘천시 스포츠타운길 523 (온의동)033-255-39802024-02-13
9(주)강원나무병원조경식재ㆍ시설물공사업춘천2021­16­012021-01-29강원특별자치도 춘천시 충열로 45 옥산빌딩 4층 (우두동)033-257-32332024-02-13
업체명업종등록번호등록일자도로명주소전화번호데이터기준일
861화림조경(주)조경식재ㆍ시설물공사업양주08­16­0012008-06-13강원특별자치도 춘천시 하사관길 26-5 (삼천동)033-264-12032024-02-13
862화림조경(주)지반조성ㆍ포장공사업춘천2015­12­012015-10-14강원특별자치도 춘천시 하사관길 26-5 (삼천동)033-264-12032024-02-13
863화성개발(주)지반조성ㆍ포장공사업춘천2008­02­022008-02-28강원특별자치도 춘천시 남산면 한치로 432033-261-93612024-02-13
864화성개발(주)도장ㆍ습식ㆍ방수ㆍ석공사업춘천2021­04­022021-04-27강원특별자치도 춘천시 남산면 한치로 432033-261-93612024-02-13
865화성개발(주)구조물해체ㆍ비계공사업강원2000­07­052000-04-26강원특별자치도 춘천시 남산면 한치로 432033-261-93612024-02-13
866화인종합설비가스난방공사업춘천2015­28­022015-02-13강원특별자치도 춘천시 칠전서길 28-4 (칠전동)033-262-04822024-02-13
867훈ENG가스난방공사업춘천2010­28­012010-01-25강원특별자치도 춘천시 벌말길47번길 25 1층 (석사동)<NA>2024-02-13
868희영건설(주)상ㆍ하수도설비공사업대구13­1061996-05-16강원특별자치도 춘천시 칠전동길 52-5 (칠전동)033-243-77412024-02-13
869희영건설(주)철근ㆍ콘크리트공사업진주시 2015­09­022015-02-03강원특별자치도 춘천시 칠전동길 52-5 (칠전동)033-243-77412024-02-13
870희영건설(주)지반조성ㆍ포장공사업대구02­1021992-08-31강원특별자치도 춘천시 칠전동길 52-5 (칠전동)033-243-77412024-02-13