Overview

Dataset statistics

Number of variables7
Number of observations3100
Missing cells53
Missing cells (%)0.2%
Duplicate rows81
Duplicate rows (%)2.6%
Total size in memory175.7 KiB
Average record size in memory58.0 B

Variable types

Text3
Categorical2
Numeric2

Dataset

Description국토안전관리원이 개방하고 있는 안전진단 전문기관 대행실적 정보입니다. 업체명, 대표자명, 업체 구분, 등록 분야, 실적(보고수,준공액) 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15060856/fileData.do

Alerts

Dataset has 81 (2.6%) duplicate rowsDuplicates
실적보고수_용역별 is highly overall correlated with 준공총액(천원)High correlation
준공총액(천원) is highly overall correlated with 실적보고수_용역별High correlation
업체구분 is highly overall correlated with 등록분야High correlation
등록분야 is highly overall correlated with 업체구분High correlation

Reproduction

Analysis started2023-12-12 08:02:15.958680
Analysis finished2023-12-12 08:02:17.586006
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체코드
Text

Distinct2930
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
2023-12-12T17:02:17.953699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters18600
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2760 ?
Unique (%)89.0%

Sample

1st rowE00044
2nd rowE00105
3rd rowE00241
4th rowE00300
5th rowE00410
ValueCountFrequency (%)
f00728 2
 
0.1%
f01301 2
 
0.1%
f00534 2
 
0.1%
f00742 2
 
0.1%
f00587 2
 
0.1%
f00999 2
 
0.1%
f01502 2
 
0.1%
f00325 2
 
0.1%
f00114 2
 
0.1%
f01159 2
 
0.1%
Other values (2920) 3080
99.4%
2023-12-12T17:02:18.589755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5562
29.9%
1 2468
13.3%
F 1833
 
9.9%
E 1267
 
6.8%
2 1051
 
5.7%
4 945
 
5.1%
3 931
 
5.0%
9 920
 
4.9%
5 915
 
4.9%
7 912
 
4.9%
Other values (2) 1796
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15500
83.3%
Uppercase Letter 3100
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5562
35.9%
1 2468
15.9%
2 1051
 
6.8%
4 945
 
6.1%
3 931
 
6.0%
9 920
 
5.9%
5 915
 
5.9%
7 912
 
5.9%
6 905
 
5.8%
8 891
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
F 1833
59.1%
E 1267
40.9%

Most occurring scripts

ValueCountFrequency (%)
Common 15500
83.3%
Latin 3100
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5562
35.9%
1 2468
15.9%
2 1051
 
6.8%
4 945
 
6.1%
3 931
 
6.0%
9 920
 
5.9%
5 915
 
5.9%
7 912
 
5.9%
6 905
 
5.8%
8 891
 
5.7%
Latin
ValueCountFrequency (%)
F 1833
59.1%
E 1267
40.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5562
29.9%
1 2468
13.3%
F 1833
 
9.9%
E 1267
 
6.8%
2 1051
 
5.7%
4 945
 
5.1%
3 931
 
5.0%
9 920
 
4.9%
5 915
 
4.9%
7 912
 
4.9%
Other values (2) 1796
 
9.7%

업체명
Text

Distinct2835
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
2023-12-12T17:02:18.967421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length20
Mean length8.9506452
Min length2

Characters and Unicode

Total characters27747
Distinct characters436
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

Unique2577 ?
Unique (%)83.1%

Sample

1st row(주)단구조
2nd row제일구조안전기술(주)
3rd row(주)동양종합기술공사
4th row(주)도원엔지니어링건축사사무소
5th row엘씨안전연구소(주)
ValueCountFrequency (%)
주식회사 364
 
10.3%
주 15
 
0.4%
유한회사 11
 
0.3%
합자회사 11
 
0.3%
건축사사무소 5
 
0.1%
태영건설(주 4
 
0.1%
지엘테크(주 3
 
0.1%
지에스씨개발엔지니어링(주 3
 
0.1%
진성이엔지주식회사 3
 
0.1%
현성엔지니어링주식회사 3
 
0.1%
Other values (2843) 3098
88.0%
2023-12-12T17:02:19.509863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2954
 
10.6%
) 2352
 
8.5%
( 2349
 
8.5%
건 1171
 
4.2%
사 1022
 
3.7%
설 1008
 
3.6%
이 811
 
2.9%
엔 750
 
2.7%
회 682
 
2.5%
지 675
 
2.4%
Other values (426) 13973
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22555
81.3%
Close Punctuation 2352
 
8.5%
Open Punctuation 2349
 
8.5%
Space Separator 420
 
1.5%
Uppercase Letter 36
 
0.1%
Lowercase Letter 15
 
0.1%
Other Punctuation 9
 
< 0.1%
Decimal Number 6
 
< 0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2954
 
13.1%
건 1171
 
5.2%
사 1022
 
4.5%
설 1008
 
4.5%
이 811
 
3.6%
엔 750
 
3.3%
회 682
 
3.0%
지 675
 
3.0%
식 637
 
2.8%
씨 443
 
2.0%
Other values (392) 12402
55.0%
Uppercase Letter
ValueCountFrequency (%)
C 6
16.7%
E 6
16.7%
S 6
16.7%
N 4
11.1%
M 3
8.3%
G 2
 
5.6%
A 2
 
5.6%
I 1
 
2.8%
F 1
 
2.8%
Y 1
 
2.8%
Other values (4) 4
11.1%
Lowercase Letter
ValueCountFrequency (%)
n 3
20.0%
g 2
13.3%
i 2
13.3%
e 2
13.3%
w 1
 
6.7%
j 1
 
6.7%
d 1
 
6.7%
t 1
 
6.7%
o 1
 
6.7%
r 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
& 4
44.4%
. 3
33.3%
: 1
 
11.1%
, 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
3 3
50.0%
6 3
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2352
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2349
100.0%
Space Separator
ValueCountFrequency (%)
420
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22560
81.3%
Common 5136
 
18.5%
Latin 51
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2954
 
13.1%
건 1171
 
5.2%
사 1022
 
4.5%
설 1008
 
4.5%
이 811
 
3.6%
엔 750
 
3.3%
회 682
 
3.0%
지 675
 
3.0%
식 637
 
2.8%
씨 443
 
2.0%
Other values (393) 12407
55.0%
Latin
ValueCountFrequency (%)
C 6
 
11.8%
E 6
 
11.8%
S 6
 
11.8%
N 4
 
7.8%
M 3
 
5.9%
n 3
 
5.9%
G 2
 
3.9%
g 2
 
3.9%
i 2
 
3.9%
e 2
 
3.9%
Other values (14) 15
29.4%
Common
ValueCountFrequency (%)
) 2352
45.8%
( 2349
45.7%
420
 
8.2%
& 4
 
0.1%
. 3
 
0.1%
3 3
 
0.1%
6 3
 
0.1%
: 1
 
< 0.1%
, 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22555
81.3%
ASCII 5187
 
18.7%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2954
 
13.1%
건 1171
 
5.2%
사 1022
 
4.5%
설 1008
 
4.5%
이 811
 
3.6%
엔 750
 
3.3%
회 682
 
3.0%
지 675
 
3.0%
식 637
 
2.8%
씨 443
 
2.0%
Other values (392) 12402
55.0%
ASCII
ValueCountFrequency (%)
) 2352
45.3%
( 2349
45.3%
420
 
8.1%
C 6
 
0.1%
E 6
 
0.1%
S 6
 
0.1%
& 4
 
0.1%
N 4
 
0.1%
. 3
 
0.1%
M 3
 
0.1%
Other values (23) 34
 
0.7%
None
ValueCountFrequency (%)
㈜ 5
100.0%

대표자
Text

Distinct2681
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
2023-12-12T17:02:19.969669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length3.4229032
Min length2

Characters and Unicode

Total characters10611
Distinct characters257
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

Unique2320 ?
Unique (%)74.8%

Sample

1st row이성재
2nd row박준형
3rd row김일봉, 구호성
4th row최철순,손정숙,이강희
5th row김순호
ValueCountFrequency (%)
이준우 5
 
0.2%
이동욱 4
 
0.1%
박선희 4
 
0.1%
오종신 4
 
0.1%
김광호 4
 
0.1%
김혜경 4
 
0.1%
김영미 4
 
0.1%
승 4
 
0.1%
김정숙 4
 
0.1%
김영수 4
 
0.1%
Other values (2823) 3275
98.8%
2023-12-12T17:02:20.649121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 706
 
6.7%
이 489
 
4.6%
정 389
 
3.7%
영 294
 
2.8%
박 284
 
2.7%
, 259
 
2.4%
성 230
 
2.2%
220
 
2.1%
진 206
 
1.9%
호 188
 
1.8%
Other values (247) 7346
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10118
95.4%
Other Punctuation 261
 
2.5%
Space Separator 220
 
2.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Control 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 706
 
7.0%
이 489
 
4.8%
정 389
 
3.8%
영 294
 
2.9%
박 284
 
2.8%
성 230
 
2.3%
진 206
 
2.0%
호 188
 
1.9%
희 169
 
1.7%
윤 165
 
1.6%
Other values (239) 6998
69.2%
Other Punctuation
ValueCountFrequency (%)
, 259
99.2%
. 1
 
0.4%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
220
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10115
95.3%
Common 493
 
4.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 706
 
7.0%
이 489
 
4.8%
정 389
 
3.8%
영 294
 
2.9%
박 284
 
2.8%
성 230
 
2.3%
진 206
 
2.0%
호 188
 
1.9%
희 169
 
1.7%
윤 165
 
1.6%
Other values (236) 6995
69.2%
Common
ValueCountFrequency (%)
, 259
52.5%
220
44.6%
) 5
 
1.0%
( 5
 
1.0%
. 1
 
0.2%
1
 
0.2%
1 1
 
0.2%
/ 1
 
0.2%
Han
ValueCountFrequency (%)
洙 1
33.3%
洋 1
33.3%
韓 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10115
95.3%
ASCII 493
 
4.6%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 706
 
7.0%
이 489
 
4.8%
정 389
 
3.8%
영 294
 
2.9%
박 284
 
2.8%
성 230
 
2.3%
진 206
 
2.0%
호 188
 
1.9%
희 169
 
1.7%
윤 165
 
1.6%
Other values (236) 6995
69.2%
ASCII
ValueCountFrequency (%)
, 259
52.5%
220
44.6%
) 5
 
1.0%
( 5
 
1.0%
. 1
 
0.2%
1
 
0.2%
1 1
 
0.2%
/ 1
 
0.2%
CJK
ValueCountFrequency (%)
洙 1
33.3%
洋 1
33.3%
韓 1
33.3%

업체구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
유지관리업체
1833 
안전진단전문기관
1267 

Length

Max length8
Median length6
Mean length6.8174194
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전진단전문기관
2nd row안전진단전문기관
3rd row안전진단전문기관
4th row안전진단전문기관
5th row안전진단전문기관

Common Values

ValueCountFrequency (%)
유지관리업체 1833
59.1%
안전진단전문기관 1267
40.9%

Length

2023-12-12T17:02:20.873350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:02:21.017247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유지관리업체 1833
59.1%
안전진단전문기관 1267
40.9%

등록분야
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size24.3 KiB
토목,건축
1087 
건축
898 
교량/터널
376 
토목
349 
교량/터널,수리시설
204 
Other values (10)
186 

Length

Max length16
Median length13
Mean length4.4035484
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건축
2nd row건축
3rd row교량/터널,수리시설
4th row교량/터널,건축,수리시설
5th row교량/터널,건축

Common Values

ValueCountFrequency (%)
토목,건축 1087
35.1%
건축 898
29.0%
교량/터널 376
 
12.1%
토목 349
 
11.3%
교량/터널,수리시설 204
 
6.6%
교량/터널,건축,수리시설 55
 
1.8%
교량/터널,건축 44
 
1.4%
교량/터널,건축,항만,수리시설 24
 
0.8%
종합 21
 
0.7%
교량/터널,항만,수리시설 11
 
0.4%
Other values (5) 31
 
1.0%

Length

2023-12-12T17:02:21.164296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토목,건축 1087
35.1%
건축 898
29.0%
교량/터널 376
 
12.1%
토목 349
 
11.3%
교량/터널,수리시설 204
 
6.6%
교량/터널,건축,수리시설 55
 
1.8%
교량/터널,건축 44
 
1.4%
교량/터널,건축,항만,수리시설 24
 
0.8%
종합 21
 
0.7%
교량/터널,항만,수리시설 11
 
0.4%
Other values (5) 31
 
1.0%

실적보고수_용역별
Real number (ℝ)

HIGH CORRELATION 

Distinct706
Distinct (%)23.0%
Missing26
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean316.54294
Minimum1
Maximum29138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size27.4 KiB
2023-12-12T17:02:21.352241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median61
Q3196
95-th percentile1163.2
Maximum29138
Range29137
Interquartile range (IQR)182

Descriptive statistics

Standard deviation1254.0812
Coefficient of variation (CV)3.9618042
Kurtosis234.621
Mean316.54294
Median Absolute Deviation (MAD)56
Skewness12.956354
Sum973053
Variance1572719.5
MonotonicityNot monotonic
2023-12-12T17:02:21.576328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 120
 
3.9%
1 88
 
2.8%
3 82
 
2.6%
4 82
 
2.6%
6 77
 
2.5%
5 66
 
2.1%
10 47
 
1.5%
8 44
 
1.4%
13 36
 
1.2%
9 34
 
1.1%
Other values (696) 2398
77.4%
ValueCountFrequency (%)
1 88
2.8%
2 120
3.9%
3 82
2.6%
4 82
2.6%
5 66
2.1%
6 77
2.5%
7 32
 
1.0%
8 44
 
1.4%
9 34
 
1.1%
10 47
 
1.5%
ValueCountFrequency (%)
29138 1
< 0.1%
28815 1
< 0.1%
22652 1
< 0.1%
15324 1
< 0.1%
13207 1
< 0.1%
12199 1
< 0.1%
11593 1
< 0.1%
10380 1
< 0.1%
10301 1
< 0.1%
9982 1
< 0.1%

준공총액(천원)
Real number (ℝ)

HIGH CORRELATION 

Distinct2975
Distinct (%)96.8%
Missing27
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1358643.4
Minimum0
Maximum1.7505602 × 108
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size27.4 KiB
2023-12-12T17:02:21.790102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19121.6
Q171229
median199366
Q3601346
95-th percentile3920670.6
Maximum1.7505602 × 108
Range1.7505602 × 108
Interquartile range (IQR)530117

Descriptive statistics

Standard deviation7463314.2
Coefficient of variation (CV)5.4932103
Kurtosis285.4293
Mean1358643.4
Median Absolute Deviation (MAD)160110
Skewness15.058562
Sum4.1751113 × 109
Variance5.5701059 × 1013
MonotonicityNot monotonic
2023-12-12T17:02:22.022210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
0.2%
18650 3
 
0.1%
161854 2
 
0.1%
140187 2
 
0.1%
127718 2
 
0.1%
159652 2
 
0.1%
47777 2
 
0.1%
339391 2
 
0.1%
723057 2
 
0.1%
12800 2
 
0.1%
Other values (2965) 3047
98.3%
(Missing) 27
 
0.9%
ValueCountFrequency (%)
0 7
0.2%
550 1
 
< 0.1%
770 1
 
< 0.1%
880 2
 
0.1%
1000 2
 
0.1%
1430 1
 
< 0.1%
1680 1
 
< 0.1%
2050 2
 
0.1%
2094 1
 
< 0.1%
2100 1
 
< 0.1%
ValueCountFrequency (%)
175056016 1
< 0.1%
172377420 1
< 0.1%
152560315 1
< 0.1%
123174693 1
< 0.1%
86850259 1
< 0.1%
82603034 1
< 0.1%
74359704 1
< 0.1%
68983031 1
< 0.1%
63882180 1
< 0.1%
60789122 1
< 0.1%

Interactions

2023-12-12T17:02:16.967792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:02:16.710346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:02:17.088429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:02:16.838767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:02:22.184963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체구분등록분야실적보고수_용역별준공총액(천원)
업체구분1.0000.8690.1840.174
등록분야0.8691.0000.5570.532
실적보고수_용역별0.1840.5571.0000.853
준공총액(천원)0.1740.5320.8531.000
2023-12-12T17:02:22.319000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체구분등록분야
업체구분1.0000.837
등록분야0.8371.000
2023-12-12T17:02:22.435503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실적보고수_용역별준공총액(천원)업체구분등록분야
실적보고수_용역별1.0000.8390.1380.277
준공총액(천원)0.8391.0000.1300.260
업체구분0.1380.1301.0000.837
등록분야0.2770.2600.8371.000

Missing values

2023-12-12T17:02:17.253649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:02:17.376133image/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.
2023-12-12T17:02:17.520226image/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

업체코드업체명대표자업체구분등록분야실적보고수_용역별준공총액(천원)
0E00044(주)단구조이성재안전진단전문기관건축121162863
1E00105제일구조안전기술(주)박준형안전진단전문기관건축13093946515
2E00241(주)동양종합기술공사김일봉, 구호성안전진단전문기관교량/터널,수리시설10748259505
3E00300(주)도원엔지니어링건축사사무소최철순,손정숙,이강희안전진단전문기관교량/터널,건축,수리시설5972605534
4E00410엘씨안전연구소(주)김순호안전진단전문기관교량/터널,건축32113047407
5E00426(주)힐엔지니어링우종열안전진단전문기관건축4221002203
6E00475(주)예정엔지니어링건축사사무소이주철안전진단전문기관건축12803102331
7E00477국가철도공단김한영안전진단전문기관교량/터널312920113
8E00738(주)세명구조엔지니어링강경원, 노환근안전진단전문기관건축11392737715
9E00747(주)건설표준시험원이준우, 노선미안전진단전문기관교량/터널,건축95556335
업체코드업체명대표자업체구분등록분야실적보고수_용역별준공총액(천원)
3090F01648홍진건설(주)목정석유지관리업체토목,건축39426
3091F00741화안개발주식회사박성언유지관리업체토목184489673
3092F01524효성산업개발(주)최태석유지관리업체토목,건축78119352
3093F00913효성조경개발(주)윤근수유지관리업체토목,건축778706
3094F00291효원종합건설전영식유지관리업체토목,건축579913
3095F00672효진건설(주)김종협유지관리업체토목,건축864885
3096F00354휴먼이앤씨(주)황지숙유지관리업체토목,건축95145579
3097F00502희광건설(주)최선해유지관리업체토목19224382
3098F01031희망건설(주)강순옥유지관리업체건축171275895
3099F00649힐티엔지니어링(주)유교식유지관리업체토목18195711

Duplicate rows

Most frequently occurring

업체코드업체명대표자업체구분등록분야실적보고수_용역별준공총액(천원)# duplicates
0F00040청명주택(주)강현호유지관리업체건축1791434562
1F00047해송기술건설(주)이정목유지관리업체토목,건축10606802
2F00084트리플엔지니어링(주)유진갑유지관리업체건축38322152
3F00087현도종합건설(주)최태진유지관리업체토목,건축2838462
4F00114태림개발(주)김정숙유지관리업체토목452701682
5F00117케이에프앤에스김명동유지관리업체토목,건축610002
6F00122한국인프라서비스 유한회사이종락유지관리업체토목,건축1147230572
7F00125하진토건(주)하정헌유지관리업체토목,건축444361472
8F00130케이에스건설(주)한상춘유지관리업체토목1348355002
9F00139한창실업(주)한대곤유지관리업체건축3262302