Overview

Dataset statistics

Number of variables13
Number of observations136
Missing cells322
Missing cells (%)18.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory108.9 B

Variable types

Text5
Numeric3
Categorical2
DateTime3

Dataset

Description경기주택도시공사에서 추진 중인 10억원 이상의 건설공사의 원가정보에 대한 데이터로써 건설공사명, 위치, 대지면적, 연면적, 시공사, 공사규모, 공사시작연월, 공사종료연월, 원가정보공개일 등의 정보를 제공합니다.
Author경기주택도시공사
URLhttps://www.data.go.kr/data/15032246/fileData.do

Alerts

기타 has constant value ""Constant
대지면적(제곱미터) is highly overall correlated with 연면적(제곱미터) and 2 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 대지면적(제곱미터) and 2 other fieldsHigh correlation
세대수 is highly overall correlated with 대지면적(제곱미터) and 1 other fieldsHigh correlation
건축면적(제곱미터) is highly overall correlated with 대지면적(제곱미터) and 1 other fieldsHigh correlation
건축면적(제곱미터) is highly imbalanced (80.6%)Imbalance
대지면적(제곱미터) has 77 (56.6%) missing valuesMissing
연면적(제곱미터) has 77 (56.6%) missing valuesMissing
세대수 has 95 (69.9%) missing valuesMissing
공사규모 has 29 (21.3%) missing valuesMissing
주요공정 has 40 (29.4%) missing valuesMissing

Reproduction

Analysis started2024-03-14 11:48:40.296890
Analysis finished2024-03-14 11:48:45.894411
Duration5.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건설공사명
Text

Distinct134
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T20:48:46.887045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length19.588235
Min length10

Characters and Unicode

Total characters2664
Distinct characters193
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)97.1%

Sample

1st row동탄2 A93블록 장기전세주택
2nd row고덕국제화 계획지구 지구외도로(광역4B)공사
3rd row안양 관양고 도시개발사업 지하주차장 등 건립공사(건축,토목,기계,조경)
4th row경기융합타운 도시계획도로 개설공사
5th row다산지금 A3블록 통합공공임대
ValueCountFrequency (%)
남양주 26
 
5.6%
경기행복주택 23
 
5.0%
다산 19
 
4.1%
전기공사 19
 
4.1%
다산신도시 15
 
3.3%
건축공사 14
 
3.0%
조경공사 11
 
2.4%
건설공사 10
 
2.2%
도시개발사업 9
 
2.0%
공공주택 8
 
1.7%
Other values (197) 307
66.6%
2024-03-14T20:48:47.953954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
325
 
12.2%
공 142
 
5.3%
사 128
 
4.8%
주 85
 
3.2%
지 79
 
3.0%
기 62
 
2.3%
택 57
 
2.1%
경 56
 
2.1%
건 55
 
2.1%
산 53
 
2.0%
Other values (183) 1622
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2067
77.6%
Space Separator 325
 
12.2%
Decimal Number 109
 
4.1%
Uppercase Letter 53
 
2.0%
Open Punctuation 42
 
1.6%
Close Punctuation 42
 
1.6%
Dash Punctuation 15
 
0.6%
Other Punctuation 6
 
0.2%
Lowercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 142
 
6.9%
사 128
 
6.2%
주 85
 
4.1%
지 79
 
3.8%
기 62
 
3.0%
택 57
 
2.8%
경 56
 
2.7%
건 55
 
2.7%
산 53
 
2.6%
도 50
 
2.4%
Other values (156) 1300
62.9%
Decimal Number
ValueCountFrequency (%)
2 42
38.5%
1 19
17.4%
5 15
 
13.8%
3 11
 
10.1%
4 10
 
9.2%
7 3
 
2.8%
9 3
 
2.8%
6 3
 
2.8%
8 2
 
1.8%
0 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
B 16
30.2%
A 16
30.2%
I 8
15.1%
X 8
15.1%
L 3
 
5.7%
S 2
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
k 1
20.0%
e 1
20.0%
t 1
20.0%
a 1
20.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
325
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2067
77.6%
Common 539
 
20.2%
Latin 58
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 142
 
6.9%
사 128
 
6.2%
주 85
 
4.1%
지 79
 
3.8%
기 62
 
3.0%
택 57
 
2.8%
경 56
 
2.7%
건 55
 
2.7%
산 53
 
2.6%
도 50
 
2.4%
Other values (156) 1300
62.9%
Common
ValueCountFrequency (%)
325
60.3%
2 42
 
7.8%
( 42
 
7.8%
) 42
 
7.8%
1 19
 
3.5%
5 15
 
2.8%
- 15
 
2.8%
3 11
 
2.0%
4 10
 
1.9%
, 5
 
0.9%
Other values (6) 13
 
2.4%
Latin
ValueCountFrequency (%)
B 16
27.6%
A 16
27.6%
I 8
13.8%
X 8
13.8%
L 3
 
5.2%
S 2
 
3.4%
k 1
 
1.7%
e 1
 
1.7%
t 1
 
1.7%
a 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2067
77.6%
ASCII 597
 
22.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
325
54.4%
2 42
 
7.0%
( 42
 
7.0%
) 42
 
7.0%
1 19
 
3.2%
B 16
 
2.7%
A 16
 
2.7%
5 15
 
2.5%
- 15
 
2.5%
3 11
 
1.8%
Other values (17) 54
 
9.0%
Hangul
ValueCountFrequency (%)
공 142
 
6.9%
사 128
 
6.2%
주 85
 
4.1%
지 79
 
3.8%
기 62
 
3.0%
택 57
 
2.8%
경 56
 
2.7%
건 55
 
2.7%
산 53
 
2.6%
도 50
 
2.4%
Other values (156) 1300
62.9%

위치
Text

Distinct107
Distinct (%)79.3%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-03-14T20:48:48.888002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length28
Mean length19.148148
Min length1

Characters and Unicode

Total characters2585
Distinct characters165
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)65.9%

Sample

1st row동탄2 신도시 내 A-93블록
2nd row평택시 고덕면 방축리~오성면 신리
3rd row안양시 관양동 521번지 일원
4th row수원시 영통구 이의동 경기융합타운 일원 및 이의동 308-1
5th row남양주시 다산신도시 지금지구 내 A-3블록
ValueCountFrequency (%)
일원 59
 
9.9%
남양주시 25
 
4.2%
경기도 23
 
3.9%
다산신도시 21
 
3.5%
화성시 20
 
3.4%
수원시 17
 
2.9%
영통구 16
 
2.7%
다산동 14
 
2.4%
내 13
 
2.2%
이의동 13
 
2.2%
Other values (218) 372
62.7%
2024-03-14T20:48:50.344128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
 
17.7%
시 141
 
5.5%
동 119
 
4.6%
지 90
 
3.5%
원 90
 
3.5%
일 74
 
2.9%
1 67
 
2.6%
구 62
 
2.4%
산 59
 
2.3%
양 54
 
2.1%
Other values (155) 1371
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1683
65.1%
Space Separator 458
 
17.7%
Decimal Number 309
 
12.0%
Dash Punctuation 38
 
1.5%
Other Punctuation 29
 
1.1%
Uppercase Letter 27
 
1.0%
Close Punctuation 18
 
0.7%
Open Punctuation 18
 
0.7%
Math Symbol 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 141
 
8.4%
동 119
 
7.1%
지 90
 
5.3%
원 90
 
5.3%
일 74
 
4.4%
구 62
 
3.7%
산 59
 
3.5%
양 54
 
3.2%
도 52
 
3.1%
주 41
 
2.4%
Other values (131) 901
53.5%
Decimal Number
ValueCountFrequency (%)
1 67
21.7%
2 39
12.6%
5 33
10.7%
4 32
10.4%
3 25
 
8.1%
6 25
 
8.1%
0 24
 
7.8%
8 24
 
7.8%
9 24
 
7.8%
7 16
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 12
44.4%
B 7
25.9%
L 5
18.5%
I 1
 
3.7%
X 1
 
3.7%
G 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 27
93.1%
. 1
 
3.4%
/ 1
 
3.4%
Space Separator
ValueCountFrequency (%)
458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1683
65.1%
Common 875
33.8%
Latin 27
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 141
 
8.4%
동 119
 
7.1%
지 90
 
5.3%
원 90
 
5.3%
일 74
 
4.4%
구 62
 
3.7%
산 59
 
3.5%
양 54
 
3.2%
도 52
 
3.1%
주 41
 
2.4%
Other values (131) 901
53.5%
Common
ValueCountFrequency (%)
458
52.3%
1 67
 
7.7%
2 39
 
4.5%
- 38
 
4.3%
5 33
 
3.8%
4 32
 
3.7%
, 27
 
3.1%
3 25
 
2.9%
6 25
 
2.9%
0 24
 
2.7%
Other values (8) 107
 
12.2%
Latin
ValueCountFrequency (%)
A 12
44.4%
B 7
25.9%
L 5
18.5%
I 1
 
3.7%
X 1
 
3.7%
G 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1683
65.1%
ASCII 902
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
50.8%
1 67
 
7.4%
2 39
 
4.3%
- 38
 
4.2%
5 33
 
3.7%
4 32
 
3.5%
, 27
 
3.0%
3 25
 
2.8%
6 25
 
2.8%
0 24
 
2.7%
Other values (14) 134
 
14.9%
Hangul
ValueCountFrequency (%)
시 141
 
8.4%
동 119
 
7.1%
지 90
 
5.3%
원 90
 
5.3%
일 74
 
4.4%
구 62
 
3.7%
산 59
 
3.5%
양 54
 
3.2%
도 52
 
3.1%
주 41
 
2.4%
Other values (131) 901
53.5%

대지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct53
Distinct (%)89.8%
Missing77
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean23392.067
Minimum337.5
Maximum88560
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T20:48:50.757718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum337.5
5-th percentile851.643
Q13138.08
median15039
Q338932
95-th percentile65347.4
Maximum88560
Range88222.5
Interquartile range (IQR)35793.92

Descriptive statistics

Standard deviation23766.956
Coefficient of variation (CV)1.0160263
Kurtosis0.29319525
Mean23392.067
Median Absolute Deviation (MAD)12630
Skewness1.1178673
Sum1380131.9
Variance5.6486818 × 108
MonotonicityNot monotonic
2024-03-14T20:48:51.388446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21483.0 3
 
2.2%
15085.0 2
 
1.5%
12514.0 2
 
1.5%
11508.0 2
 
1.5%
14168.0 2
 
1.5%
1697.0 1
 
0.7%
51311.0 1
 
0.7%
15000.0 1
 
0.7%
46143.0 1
 
0.7%
3171.16 1
 
0.7%
Other values (43) 43
31.6%
(Missing) 77
56.6%
ValueCountFrequency (%)
337.5 1
0.7%
379.0 1
0.7%
513.0 1
0.7%
889.27 1
0.7%
1343.2 1
0.7%
1697.0 1
0.7%
1786.0 1
0.7%
1875.7 1
0.7%
2084.0 1
0.7%
2136.0 1
0.7%
ValueCountFrequency (%)
88560.0 1
0.7%
82781.0 1
0.7%
78806.0 1
0.7%
63852.0 1
0.7%
63239.0 1
0.7%
62762.0 1
0.7%
61493.0 1
0.7%
56850.0 1
0.7%
54072.0 1
0.7%
51311.0 1
0.7%

건축면적(제곱미터)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
127 
4299
 
2
3112
 
2
3020
 
2
1085
 
2

Length

Max length5
Median length4
Mean length4.0073529
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 127
93.4%
4299 2
 
1.5%
3112 2
 
1.5%
3020 2
 
1.5%
1085 2
 
1.5%
43336 1
 
0.7%

Length

2024-03-14T20:48:51.807111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:48:52.145921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
93.4%
4299 2
 
1.5%
3112 2
 
1.5%
3020 2
 
1.5%
1085 2
 
1.5%
43336 1
 
0.7%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct53
Distinct (%)89.8%
Missing77
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean55871.796
Minimum453
Maximum234393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T20:48:52.513040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453
5-th percentile651.6
Q19866.5
median17430
Q384612
95-th percentile169807
Maximum234393
Range233940
Interquartile range (IQR)74745.5

Descriptive statistics

Standard deviation63699.73
Coefficient of variation (CV)1.1401053
Kurtosis0.12043424
Mean55871.796
Median Absolute Deviation (MAD)16772
Skewness1.1420393
Sum3296435.9
Variance4.0576556 × 109
MonotonicityNot monotonic
2024-03-14T20:48:52.846655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51310.0 3
 
2.2%
15865.0 2
 
1.5%
16221.0 2
 
1.5%
10190.0 2
 
1.5%
12907.0 2
 
1.5%
5315.0 1
 
0.7%
113337.0 1
 
0.7%
151507.0 1
 
0.7%
13105.0 1
 
0.7%
112802.0 1
 
0.7%
Other values (43) 43
31.6%
(Missing) 77
56.6%
ValueCountFrequency (%)
453.0 1
0.7%
593.0 1
0.7%
594.0 1
0.7%
658.0 1
0.7%
2134.0 1
0.7%
2249.0 1
0.7%
2635.0 1
0.7%
3125.0 1
0.7%
3313.0 1
0.7%
4066.0 1
0.7%
ValueCountFrequency (%)
234393.0 1
0.7%
204664.0 1
0.7%
187159.0 1
0.7%
167879.0 1
0.7%
166363.0 1
0.7%
160121.0 1
0.7%
157877.0 1
0.7%
152689.0 1
0.7%
151507.0 1
0.7%
151426.0 1
0.7%

세대수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct37
Distinct (%)90.2%
Missing95
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean639.26829
Minimum14
Maximum2078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-14T20:48:53.081736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile16
Q1100
median491
Q3995
95-th percentile1685
Maximum2078
Range2064
Interquartile range (IQR)895

Descriptive statistics

Standard deviation608.05991
Coefficient of variation (CV)0.95118108
Kurtosis-0.32980268
Mean639.26829
Median Absolute Deviation (MAD)441
Skewness0.81664869
Sum26210
Variance369736.85
MonotonicityNot monotonic
2024-03-14T20:48:53.301322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
50 3
 
2.2%
300 3
 
2.2%
100 1
 
0.7%
755 1
 
0.7%
1394 1
 
0.7%
704 1
 
0.7%
42 1
 
0.7%
491 1
 
0.7%
1685 1
 
0.7%
152 1
 
0.7%
Other values (27) 27
 
19.9%
(Missing) 95
69.9%
ValueCountFrequency (%)
14 1
 
0.7%
15 1
 
0.7%
16 1
 
0.7%
40 1
 
0.7%
42 1
 
0.7%
50 3
2.2%
56 1
 
0.7%
85 1
 
0.7%
100 1
 
0.7%
106 1
 
0.7%
ValueCountFrequency (%)
2078 1
0.7%
2075 1
0.7%
1685 1
0.7%
1614 1
0.7%
1500 1
0.7%
1394 1
0.7%
1272 1
0.7%
1257 1
0.7%
1227 1
0.7%
1031 1
0.7%

시공사
Text

Distinct125
Distinct (%)92.6%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-03-14T20:48:53.942240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length33
Mean length18.992593
Min length3

Characters and Unicode

Total characters2564
Distinct characters196
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)87.4%

Sample

1st rowGS건설 컨소시엄(GS건설+한신공영+동부건설+대보건설)
2nd row남광토건 컨소시엄(남광토건+신동아건설+선진종합건설)
3rd row재성종합건설㈜
4th row㈜백율
5th row신동아건설 컨소시엄(신동아건설+극동건설)
ValueCountFrequency (%)
주식회사 15
 
5.5%
컨소시엄 9
 
3.3%
대보건설 6
 
2.2%
외 6
 
2.2%
대우건설 6
 
2.2%
gs건설 5
 
1.8%
코오롱글로벌컨소시엄(코오롱글로벌+이엠종합건설+씨앤씨종합건설 4
 
1.5%
컨소시엄(대보건설+케이알산업+신성종합건설 3
 
1.1%
동부건설 3
 
1.1%
2개사 3
 
1.1%
Other values (199) 213
78.0%
2024-03-14T20:48:55.136715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 191
 
7.4%
설 179
 
7.0%
138
 
5.4%
( 114
 
4.4%
) 114
 
4.4%
+ 102
 
4.0%
주 78
 
3.0%
소 62
 
2.4%
㈜ 57
 
2.2%
엄 55
 
2.1%
Other values (186) 1474
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1947
75.9%
Space Separator 138
 
5.4%
Open Punctuation 115
 
4.5%
Close Punctuation 115
 
4.5%
Math Symbol 102
 
4.0%
Other Symbol 57
 
2.2%
Other Punctuation 56
 
2.2%
Uppercase Letter 22
 
0.9%
Decimal Number 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 191
 
9.8%
설 179
 
9.2%
주 78
 
4.0%
소 62
 
3.2%
엄 55
 
2.8%
컨 55
 
2.8%
시 55
 
2.8%
종 54
 
2.8%
대 54
 
2.8%
합 51
 
2.6%
Other values (164) 1113
57.2%
Uppercase Letter
ValueCountFrequency (%)
G 9
40.9%
S 9
40.9%
E 1
 
4.5%
K 1
 
4.5%
R 1
 
4.5%
C 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
2 6
50.0%
0 2
 
16.7%
1 2
 
16.7%
8 1
 
8.3%
6 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 50
89.3%
· 3
 
5.4%
% 2
 
3.6%
& 1
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 114
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 114
99.1%
] 1
 
0.9%
Space Separator
ValueCountFrequency (%)
138
100.0%
Math Symbol
ValueCountFrequency (%)
+ 102
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2002
78.1%
Common 538
 
21.0%
Latin 22
 
0.9%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 191
 
9.5%
설 179
 
8.9%
주 78
 
3.9%
소 62
 
3.1%
㈜ 57
 
2.8%
엄 55
 
2.7%
컨 55
 
2.7%
시 55
 
2.7%
종 54
 
2.7%
대 54
 
2.7%
Other values (164) 1162
58.0%
Common
ValueCountFrequency (%)
138
25.7%
( 114
21.2%
) 114
21.2%
+ 102
19.0%
, 50
 
9.3%
2 6
 
1.1%
· 3
 
0.6%
0 2
 
0.4%
% 2
 
0.4%
1 2
 
0.4%
Other values (5) 5
 
0.9%
Latin
ValueCountFrequency (%)
G 9
40.9%
S 9
40.9%
E 1
 
4.5%
K 1
 
4.5%
R 1
 
4.5%
C 1
 
4.5%
Han
ValueCountFrequency (%)
外 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1945
75.9%
ASCII 557
 
21.7%
None 60
 
2.3%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 191
 
9.8%
설 179
 
9.2%
주 78
 
4.0%
소 62
 
3.2%
엄 55
 
2.8%
컨 55
 
2.8%
시 55
 
2.8%
종 54
 
2.8%
대 54
 
2.8%
합 51
 
2.6%
Other values (163) 1111
57.1%
ASCII
ValueCountFrequency (%)
138
24.8%
( 114
20.5%
) 114
20.5%
+ 102
18.3%
, 50
 
9.0%
G 9
 
1.6%
S 9
 
1.6%
2 6
 
1.1%
0 2
 
0.4%
% 2
 
0.4%
Other values (10) 11
 
2.0%
None
ValueCountFrequency (%)
㈜ 57
95.0%
· 3
 
5.0%
CJK
ValueCountFrequency (%)
外 2
100.0%

공사규모
Text

MISSING 

Distinct94
Distinct (%)87.9%
Missing29
Missing (%)21.3%
Memory size1.2 KiB
2024-03-14T20:48:56.445417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length42
Mean length23.037383
Min length6

Characters and Unicode

Total characters2465
Distinct characters157
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)76.6%

Sample

1st row지하2층, 지상28층, 8개동
2nd row순성토 48만㎥, 교량 480m/1개소,배수공 등
3rd row지하주차장(지하 2층 ~ 지상 1층), 공원관리동(지상 1층)
4th row(도시계획도로) 총 연장 0.13km, 폭 16.9m 도로 신설(지하차도) / (교통개선공사) 경기융합타운 주변도로 확장공사(연장 1.36km, 폭 3m)
5th row지하2층, 지상 29층, 3개동
ValueCountFrequency (%)
지상 29
 
7.0%
지하1층 20
 
4.8%
등 18
 
4.3%
특수1 13
 
3.1%
1개동 13
 
3.1%
지하2층 12
 
2.9%
지하1층/지상5층 10
 
2.4%
29층 9
 
2.2%
유치원4 8
 
1.9%
지상5층 7
 
1.7%
Other values (212) 275
66.4%
2024-03-14T20:48:57.752436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
308
 
12.5%
, 189
 
7.7%
1 151
 
6.1%
지 124
 
5.0%
층 117
 
4.7%
2 94
 
3.8%
4 72
 
2.9%
3 69
 
2.8%
상 64
 
2.6%
9 64
 
2.6%
Other values (147) 1213
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 954
38.7%
Decimal Number 706
28.6%
Space Separator 308
 
12.5%
Other Punctuation 238
 
9.7%
Lowercase Letter 49
 
2.0%
Open Punctuation 46
 
1.9%
Close Punctuation 46
 
1.9%
Other Symbol 42
 
1.7%
Math Symbol 41
 
1.7%
Uppercase Letter 30
 
1.2%
Other values (2) 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 124
 
13.0%
층 117
 
12.3%
상 64
 
6.7%
하 58
 
6.1%
개 51
 
5.3%
동 40
 
4.2%
수 34
 
3.6%
등 24
 
2.5%
로 21
 
2.2%
반 17
 
1.8%
Other values (107) 404
42.3%
Decimal Number
ValueCountFrequency (%)
1 151
21.4%
2 94
13.3%
4 72
10.2%
3 69
9.8%
9 64
9.1%
5 62
8.8%
0 60
 
8.5%
8 46
 
6.5%
7 46
 
6.5%
6 42
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
L 14
46.7%
B 6
20.0%
D 2
 
6.7%
C 2
 
6.7%
V 2
 
6.7%
M 1
 
3.3%
A 1
 
3.3%
Q 1
 
3.3%
T 1
 
3.3%
Math Symbol
ValueCountFrequency (%)
= 20
48.8%
~ 17
41.5%
× 2
 
4.9%
∼ 1
 
2.4%
→ 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 189
79.4%
. 28
 
11.8%
/ 19
 
8.0%
: 2
 
0.8%
Other Symbol
ValueCountFrequency (%)
㎡ 29
69.0%
㎥ 7
 
16.7%
㎞ 4
 
9.5%
㎜ 2
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
m 41
83.7%
k 8
 
16.3%
Other Number
ValueCountFrequency (%)
² 2
66.7%
³ 1
33.3%
Space Separator
ValueCountFrequency (%)
308
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1432
58.1%
Hangul 954
38.7%
Latin 79
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 124
 
13.0%
층 117
 
12.3%
상 64
 
6.7%
하 58
 
6.1%
개 51
 
5.3%
동 40
 
4.2%
수 34
 
3.6%
등 24
 
2.5%
로 21
 
2.2%
반 17
 
1.8%
Other values (107) 404
42.3%
Common
ValueCountFrequency (%)
308
21.5%
, 189
13.2%
1 151
10.5%
2 94
 
6.6%
4 72
 
5.0%
3 69
 
4.8%
9 64
 
4.5%
5 62
 
4.3%
0 60
 
4.2%
( 46
 
3.2%
Other values (19) 317
22.1%
Latin
ValueCountFrequency (%)
m 41
51.9%
L 14
 
17.7%
k 8
 
10.1%
B 6
 
7.6%
D 2
 
2.5%
C 2
 
2.5%
V 2
 
2.5%
M 1
 
1.3%
A 1
 
1.3%
Q 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1462
59.3%
Hangul 954
38.7%
CJK Compat 42
 
1.7%
None 5
 
0.2%
Math Operators 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
308
21.1%
, 189
12.9%
1 151
10.3%
2 94
 
6.4%
4 72
 
4.9%
3 69
 
4.7%
9 64
 
4.4%
5 62
 
4.2%
0 60
 
4.1%
( 46
 
3.1%
Other values (21) 347
23.7%
Hangul
ValueCountFrequency (%)
지 124
 
13.0%
층 117
 
12.3%
상 64
 
6.7%
하 58
 
6.1%
개 51
 
5.3%
동 40
 
4.2%
수 34
 
3.6%
등 24
 
2.5%
로 21
 
2.2%
반 17
 
1.8%
Other values (107) 404
42.3%
CJK Compat
ValueCountFrequency (%)
㎡ 29
69.0%
㎥ 7
 
16.7%
㎞ 4
 
9.5%
㎜ 2
 
4.8%
None
ValueCountFrequency (%)
² 2
40.0%
× 2
40.0%
³ 1
20.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

주요공정
Text

MISSING 

Distinct67
Distinct (%)69.8%
Missing40
Missing (%)29.4%
Memory size1.2 KiB
2024-03-14T20:48:58.689193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length48
Mean length17.270833
Min length2

Characters and Unicode

Total characters1658
Distinct characters172
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)62.5%

Sample

1st row토공, 배수공, 교량공 등
2nd row건축, 토목, 기계, 조경
3rd row토공, 구조물공
4th row전세대 전용 60㎡ 이하
5th row배수지공, 관로공, 도로공, 건축공, 기계공 등
ValueCountFrequency (%)
등 35
 
9.8%
및 16
 
4.5%
토공 15
 
4.2%
건축공사 14
 
3.9%
전기공사 13
 
3.6%
외 11
 
3.1%
포장공 11
 
3.1%
식재공 6
 
1.7%
시설물공 5
 
1.4%
배수공 4
 
1.1%
Other values (181) 228
63.7%
2024-03-14T20:49:00.261586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
16.5%
공 153
 
9.2%
, 122
 
7.4%
사 55
 
3.3%
등 50
 
3.0%
수 38
 
2.3%
장 32
 
1.9%
설 32
 
1.9%
지 28
 
1.7%
㎡ 25
 
1.5%
Other values (162) 849
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1049
63.3%
Space Separator 274
 
16.5%
Other Punctuation 127
 
7.7%
Decimal Number 106
 
6.4%
Other Symbol 25
 
1.5%
Uppercase Letter 23
 
1.4%
Close Punctuation 21
 
1.3%
Open Punctuation 21
 
1.3%
Dash Punctuation 4
 
0.2%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 153
 
14.6%
사 55
 
5.2%
등 50
 
4.8%
수 38
 
3.6%
장 32
 
3.1%
설 32
 
3.1%
지 28
 
2.7%
기 23
 
2.2%
로 21
 
2.0%
토 19
 
1.8%
Other values (133) 598
57.0%
Decimal Number
ValueCountFrequency (%)
1 17
16.0%
4 15
14.2%
3 15
14.2%
5 13
12.3%
2 12
11.3%
6 10
9.4%
8 9
8.5%
9 7
6.6%
7 4
 
3.8%
0 4
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 8
34.8%
B 7
30.4%
C 3
 
13.0%
U 1
 
4.3%
T 1
 
4.3%
Y 1
 
4.3%
P 1
 
4.3%
E 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 122
96.1%
· 4
 
3.1%
/ 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
274
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1049
63.3%
Common 582
35.1%
Latin 27
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 153
 
14.6%
사 55
 
5.2%
등 50
 
4.8%
수 38
 
3.6%
장 32
 
3.1%
설 32
 
3.1%
지 28
 
2.7%
기 23
 
2.2%
로 21
 
2.0%
토 19
 
1.8%
Other values (133) 598
57.0%
Common
ValueCountFrequency (%)
274
47.1%
, 122
21.0%
㎡ 25
 
4.3%
) 21
 
3.6%
( 21
 
3.6%
1 17
 
2.9%
4 15
 
2.6%
3 15
 
2.6%
5 13
 
2.2%
2 12
 
2.1%
Other values (10) 47
 
8.1%
Latin
ValueCountFrequency (%)
A 8
29.6%
B 7
25.9%
m 4
14.8%
C 3
 
11.1%
U 1
 
3.7%
T 1
 
3.7%
Y 1
 
3.7%
P 1
 
3.7%
E 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1049
63.3%
ASCII 580
35.0%
CJK Compat 25
 
1.5%
None 4
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
47.2%
, 122
21.0%
) 21
 
3.6%
( 21
 
3.6%
1 17
 
2.9%
4 15
 
2.6%
3 15
 
2.6%
5 13
 
2.2%
2 12
 
2.1%
6 10
 
1.7%
Other values (17) 60
 
10.3%
Hangul
ValueCountFrequency (%)
공 153
 
14.6%
사 55
 
5.2%
등 50
 
4.8%
수 38
 
3.6%
장 32
 
3.1%
설 32
 
3.1%
지 28
 
2.7%
기 23
 
2.2%
로 21
 
2.0%
토 19
 
1.8%
Other values (133) 598
57.0%
CJK Compat
ValueCountFrequency (%)
㎡ 25
100.0%
None
ValueCountFrequency (%)
· 4
100.0%

공사시작연월
Date

Distinct69
Distinct (%)51.1%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
Minimum2015-05-01 00:00:00
Maximum2023-08-01 00:00:00
2024-03-14T20:49:00.697160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:49:01.246876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공사종료연월
Date

Distinct74
Distinct (%)54.8%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
Minimum2017-03-01 00:00:00
Maximum2027-04-30 00:00:00
2024-03-14T20:49:01.673201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:49:02.174379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

원가정보공개일
Date

Distinct24
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2015-05-11 00:00:00
Maximum2023-12-20 00:00:00
2024-03-14T20:49:02.553692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:49:02.961612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

기타
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
공란은 해당값 없음
136 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공란은 해당값 없음
2nd row공란은 해당값 없음
3rd row공란은 해당값 없음
4th row공란은 해당값 없음
5th row공란은 해당값 없음

Common Values

ValueCountFrequency (%)
공란은 해당값 없음 136
100.0%

Length

2024-03-14T20:49:03.447651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:49:03.773279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공란은 136
33.3%
해당값 136
33.3%
없음 136
33.3%

Interactions

2024-03-14T20:48:43.365978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:42.169964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:42.847768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:43.569452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:42.414672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:43.030509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:43.806377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:42.645729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:43.201229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:49:03.967188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)세대수공사규모주요공정공사시작연월공사종료연월원가정보공개일
대지면적(제곱미터)1.0001.0000.9700.9670.5881.0000.7930.8230.152
건축면적(제곱미터)1.0001.000NaNNaNNaN0.0001.0001.0000.869
연면적(제곱미터)0.970NaN1.0000.9550.9231.0000.7910.8430.000
세대수0.967NaN0.9551.0000.9411.0000.8650.8770.029
공사규모0.588NaN0.9230.9411.0000.9900.9470.9910.994
주요공정1.0000.0001.0001.0000.9901.0000.9620.9750.986
공사시작연월0.7931.0000.7910.8650.9470.9621.0000.9430.956
공사종료연월0.8231.0000.8430.8770.9910.9750.9431.0000.974
원가정보공개일0.1520.8690.0000.0290.9940.9860.9560.9741.000
2024-03-14T20:49:04.281989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지면적(제곱미터)연면적(제곱미터)세대수건축면적(제곱미터)
대지면적(제곱미터)1.0000.9240.9530.756
연면적(제곱미터)0.9241.0000.9501.000
세대수0.9530.9501.0000.000
건축면적(제곱미터)0.7561.0000.0001.000

Missing values

2024-03-14T20:48:44.154437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:48:44.834200image/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.
2024-03-14T20:48:45.490052image/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

건설공사명위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)세대수시공사공사규모주요공정공사시작연월공사종료연월원가정보공개일기타
0동탄2 A93블록 장기전세주택동탄2 신도시 내 A-93블록63239.0<NA>152689.0965GS건설 컨소시엄(GS건설+한신공영+동부건설+대보건설)지하2층, 지상28층, 8개동<NA>2023-03-012025-10-312023-12-20공란은 해당값 없음
1고덕국제화 계획지구 지구외도로(광역4B)공사평택시 고덕면 방축리~오성면 신리<NA><NA><NA><NA>남광토건 컨소시엄(남광토건+신동아건설+선진종합건설)순성토 48만㎥, 교량 480m/1개소,배수공 등토공, 배수공, 교량공 등2016-03-012023-10-312023-12-20공란은 해당값 없음
2안양 관양고 도시개발사업 지하주차장 등 건립공사(건축,토목,기계,조경)안양시 관양동 521번지 일원<NA><NA><NA><NA>재성종합건설㈜지하주차장(지하 2층 ~ 지상 1층), 공원관리동(지상 1층)건축, 토목, 기계, 조경2023-08-012025-03-312023-12-19공란은 해당값 없음
3경기융합타운 도시계획도로 개설공사수원시 영통구 이의동 경기융합타운 일원 및 이의동 308-1<NA><NA><NA><NA>㈜백율(도시계획도로) 총 연장 0.13km, 폭 16.9m 도로 신설(지하차도) / (교통개선공사) 경기융합타운 주변도로 확장공사(연장 1.36km, 폭 3m)토공, 구조물공2023-08-012024-08-312023-12-18공란은 해당값 없음
4다산지금 A3블록 통합공공임대남양주시 다산신도시 지금지구 내 A-3블록20533.0<NA>63522.0518신동아건설 컨소시엄(신동아건설+극동건설)지하2층, 지상 29층, 3개동전세대 전용 60㎡ 이하2022-09-012025-05-312023-06-22공란은 해당값 없음
5원당배수지 및 송배수관로 건설공사고양시 일산동구 식사동 산62임 일원<NA><NA><NA><NA>이수건설㈜, 신원종합개발㈜원당배수지(V=10,000㎥) 및 진입도로(L=593m, 가속차로 포함) 신설송수관로(D700㎜, L=5.7㎞) 및 배수관로(D800㎜, L=10.3㎞) 매설배수지공, 관로공, 도로공, 건축공, 기계공 등2023-06-012026-10-312023-06-21공란은 해당값 없음
6고양 일산테크노밸리 조성공사(예비계약)고양시 일산서구 대화동, 법곳동 일원<NA><NA><NA><NA>대보건설 컨소시엄(대보건설 외 6개 업체)절성토 1,811,365m³, 도보포장 121,359m² 등토공, 도로 및 포장공 등2023-04-012023-09-302023-06-21공란은 해당값 없음
7양주 은남일반산업단지 진입도로 건설공사양주시 은현면 도하리 일원<NA><NA><NA><NA>아라이앤씨 주식회사진입도로 2개소 (주요시설 : 교량 2개소 / 194m)토공 외 배수공, 포장공2023-06-012025-05-312023-06-21공란은 해당값 없음
8양주은남 일반산업단지 조성사업경기도 양주시 은현면 도하리, 남면 상수리 일원<NA><NA><NA><NA>남해종합개발(주) 컨소시엄(남해종합개발, 선원건설)절성토 균형, 오수관 4,450m, 우수관 4,185m 등토공 외 포장공, 우·오·상수공, 하천공 등2023-02-012027-04-302023-06-21공란은 해당값 없음
9안양 관양고 주변 도시개발사업 스마트도시 정보통신공사안양시 관양동 521번지 일원<NA><NA><NA><NA>(주)성신전업CCTV 설치 13개소, 스마트 버스정류장 2개소 등정보통신 인프라 및 지하주차장 통신공사 등2023-06-012025-01-312023-06-21공란은 해당값 없음
건설공사명위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)세대수시공사공사규모주요공정공사시작연월공사종료연월원가정보공개일기타
126화성동탄(2) 택지개발사업 부지전기공사(3-2공구)화성시 장지동 일원<NA><NA><NA><NA>㈜국부전기<NA>전기공사2015-09-012018-09-012022-03-25공란은 해당값 없음
127광명시흥 도시첨단산업단지 조성공사광명시 가학동 및 시흥시 논곡동 일원<NA><NA><NA><NA>지평토건 컨소시엄(지평토건(주)+대상건설(주))사업면적 : 492924㎡토공 외 우수, 오수, 저류지, 배수지공 등2021-11-012024-11-012022-03-25공란은 해당값 없음
128판교 제2테크노밸리 글로벌비즈센터 건립사업성남시 수정구 시흥동 293일원<NA><NA><NA><NA>코오롱글로벌(주) 컨소시엄(코오롱글로벌+디엘E&C+금호건설)지하4층, 지상10층, 3개동건축공사2020-09-012021-12-012022-03-25공란은 해당값 없음
129판교 제2테크노밸리 경기행복주택복합센터 건립사업성남시 수정구 금토동 411-6일원(G4-1블럭)8000.0<NA>57669.0300신동아건설(주) 컨소시엄(신동아건설+우미건설+디엘건설+대보건설)지하3층, 지상(행복주택(12층), 지산(14층)), 2개동<NA>2019-10-012022-01-012022-03-25공란은 해당값 없음
130남양주 다산 지금1초등학교 건축공사다산지금 공공주택사업지구 초1부지(지금동 277일원)15039.0<NA>14717.0<NA>현대아산(주)<NA>건축공사2020-06-012021-08-012022-03-25공란은 해당값 없음
131동탄(2) 택지개발사업 부지조성공사(5-2공구)화성시 산척동 일대<NA><NA><NA><NA>㈜반도건설<NA>도로공, 우수공, 조경공사2015-08-012019-07-012022-03-25공란은 해당값 없음
132고양관광문화단지 육교 및 보행자도로 설치공사고양시 일산동구 장항동 일원<NA><NA><NA><NA>가산건설(주)493745㎡보행육교, 광장 및 보행자도로 등2015-08-012019-12-012022-03-25공란은 해당값 없음
133고덕택지 서정리역세권 공공시설 조성공사경기도 평택시 서정동 일원<NA><NA><NA><NA>건영 컨소시엄(건영+다른종건+태인종건+한성개발산업)보행교 L=195.0m, B=6.5~9.5m 지하주차장 연면적 5539.3㎡공중보행교, 지하주차장, 서정리역 출입구 확장2019-12-012021-12-012022-03-11공란은 해당값 없음
134용인죽전 경기행복주택용인시 수지구 죽전동 494-5 외3105.0<NA>6526.085동부건설 컨소시엄(동부건설+대보건설+신성건설)지하1층, 지상7층, 1개동<NA>2018-12-012022-05-012022-03-11공란은 해당값 없음
135광교신도시 추가조성공사<NA>42865.043336<NA><NA><NA><NA><NA><NA><NA>2015-05-11공란은 해당값 없음