Overview

Dataset statistics

Number of variables7
Number of observations654
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.4 KiB
Average record size in memory60.2 B

Variable types

Numeric4
Text2
Categorical1

Dataset

Description계약번호,계약명,계약금액(원),계약시작일,계약종료일,입찰방법,계약대상
AuthorSH공사
URLhttps://data.seoul.go.kr/dataList/OA-2207/S/1/datasetView.do

Alerts

계약번호 is highly overall correlated with 계약시작일 and 1 other fieldsHigh correlation
계약시작일 is highly overall correlated with 계약번호 and 1 other fieldsHigh correlation
계약종료일 is highly overall correlated with 계약번호 and 1 other fieldsHigh correlation
입찰방법 is highly imbalanced (84.2%)Imbalance
계약번호 has unique valuesUnique
계약금액(원) has unique valuesUnique

Reproduction

Analysis started2024-05-11 06:33:37.749017
Analysis finished2024-05-11 06:33:41.227479
Duration3.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계약번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct654
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean925378.31
Minimum15482
Maximum1002751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T15:33:41.363400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15482
5-th percentile905767.9
Q1912383.25
median925807
Q3954550
95-th percentile990600.45
Maximum1002751
Range987269
Interquartile range (IQR)42166.75

Descriptive statistics

Standard deviation105157.03
Coefficient of variation (CV)0.1136368
Kurtosis66.174898
Mean925378.31
Median Absolute Deviation (MAD)16511.5
Skewness-7.9086578
Sum6.0519742 × 108
Variance1.1058001 × 1010
MonotonicityNot monotonic
2024-05-11T15:33:41.641829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
994187 1
 
0.2%
915653 1
 
0.2%
917809 1
 
0.2%
917508 1
 
0.2%
917435 1
 
0.2%
917398 1
 
0.2%
917371 1
 
0.2%
917369 1
 
0.2%
923264 1
 
0.2%
917223 1
 
0.2%
Other values (644) 644
98.5%
ValueCountFrequency (%)
15482 1
0.2%
15616 1
0.2%
15951 1
0.2%
15952 1
0.2%
15953 1
0.2%
16084 1
0.2%
16262 1
0.2%
16316 1
0.2%
902682 1
0.2%
903182 1
0.2%
ValueCountFrequency (%)
1002751 1
0.2%
1002734 1
0.2%
1001020 1
0.2%
1000839 1
0.2%
1000829 1
0.2%
999635 1
0.2%
999633 1
0.2%
998774 1
0.2%
998691 1
0.2%
998687 1
0.2%

계약명
Text

Distinct637
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-05-11T15:33:42.062878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length24.296636
Min length7

Characters and Unicode

Total characters15890
Distinct characters308
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique620 ?
Unique (%)94.8%

Sample

1st row중계본동 주택재개발정비사업 공동주택 정보통신공사
2nd row중계본동 주택재개발정비사업 공동주택 전기공사
3rd row중계본동 주택재개발정비사업 공동주택 건설공사
4th row서울혁신파크 석면해체 및 건축물 철거공사(2공구)
5th row서울혁신파크 석면해체 및 건축물 철거공사(1공구)
ValueCountFrequency (%)
임대아파트 184
 
6.1%
시설물 155
 
5.1%
아파트 140
 
4.6%
및 129
 
4.3%
유지보수공사 108
 
3.6%
건설공사 101
 
3.3%
전기공사 81
 
2.7%
정보통신공사 68
 
2.2%
교체공사 58
 
1.9%
보수공사 47
 
1.6%
Other values (684) 1958
64.6%
2024-05-11T15:33:42.755431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2381
 
15.0%
공 889
 
5.6%
사 736
 
4.6%
지 662
 
4.2%
2 360
 
2.3%
트 346
 
2.2%
파 345
 
2.2%
설 345
 
2.2%
아 334
 
2.1%
구 313
 
2.0%
Other values (298) 9179
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11920
75.0%
Space Separator 2381
 
15.0%
Decimal Number 1139
 
7.2%
Dash Punctuation 125
 
0.8%
Uppercase Letter 106
 
0.7%
Other Punctuation 75
 
0.5%
Open Punctuation 68
 
0.4%
Close Punctuation 68
 
0.4%
Lowercase Letter 6
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 889
 
7.5%
사 736
 
6.2%
지 662
 
5.6%
트 346
 
2.9%
파 345
 
2.9%
설 345
 
2.9%
아 334
 
2.8%
구 313
 
2.6%
시 278
 
2.3%
대 272
 
2.3%
Other values (268) 7400
62.1%
Decimal Number
ValueCountFrequency (%)
2 360
31.6%
1 279
24.5%
0 155
13.6%
3 114
 
10.0%
4 77
 
6.8%
6 39
 
3.4%
5 39
 
3.4%
8 31
 
2.7%
7 28
 
2.5%
9 17
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
L 32
30.2%
B 19
17.9%
A 17
16.0%
E 15
14.2%
D 15
14.2%
C 2
 
1.9%
U 2
 
1.9%
H 2
 
1.9%
S 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 46
61.3%
/ 22
29.3%
? 7
 
9.3%
Lowercase Letter
ValueCountFrequency (%)
t 2
33.3%
i 2
33.3%
y 2
33.3%
Space Separator
ValueCountFrequency (%)
2381
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11920
75.0%
Common 3858
 
24.3%
Latin 112
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 889
 
7.5%
사 736
 
6.2%
지 662
 
5.6%
트 346
 
2.9%
파 345
 
2.9%
설 345
 
2.9%
아 334
 
2.8%
구 313
 
2.6%
시 278
 
2.3%
대 272
 
2.3%
Other values (268) 7400
62.1%
Common
ValueCountFrequency (%)
2381
61.7%
2 360
 
9.3%
1 279
 
7.2%
0 155
 
4.0%
- 125
 
3.2%
3 114
 
3.0%
4 77
 
2.0%
( 68
 
1.8%
) 68
 
1.8%
, 46
 
1.2%
Other values (8) 185
 
4.8%
Latin
ValueCountFrequency (%)
L 32
28.6%
B 19
17.0%
A 17
15.2%
E 15
13.4%
D 15
13.4%
C 2
 
1.8%
t 2
 
1.8%
U 2
 
1.8%
H 2
 
1.8%
S 2
 
1.8%
Other values (2) 4
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11920
75.0%
ASCII 3970
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2381
60.0%
2 360
 
9.1%
1 279
 
7.0%
0 155
 
3.9%
- 125
 
3.1%
3 114
 
2.9%
4 77
 
1.9%
( 68
 
1.7%
) 68
 
1.7%
, 46
 
1.2%
Other values (20) 297
 
7.5%
Hangul
ValueCountFrequency (%)
공 889
 
7.5%
사 736
 
6.2%
지 662
 
5.6%
트 346
 
2.9%
파 345
 
2.9%
설 345
 
2.9%
아 334
 
2.8%
구 313
 
2.6%
시 278
 
2.3%
대 272
 
2.3%
Other values (268) 7400
62.1%

계약금액(원)
Real number (ℝ)

UNIQUE 

Distinct654
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7811801 × 1010
Minimum1.001189 × 109
Maximum7.2722023 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T15:33:43.309008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.001189 × 109
5-th percentile1.1196731 × 109
Q11.6283994 × 109
median2.9922534 × 109
Q38.1322155 × 109
95-th percentile9.6380048 × 1010
Maximum7.2722023 × 1011
Range7.2621904 × 1011
Interquartile range (IQR)6.5038161 × 109

Descriptive statistics

Standard deviation5.692656 × 1010
Coefficient of variation (CV)3.1960025
Kurtosis83.305734
Mean1.7811801 × 1010
Median Absolute Deviation (MAD)1.6652309 × 109
Skewness8.0689796
Sum1.1648918 × 1013
Variance3.2406333 × 1021
MonotonicityNot monotonic
2024-05-11T15:33:43.529597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19370442940 1
 
0.2%
2385919043 1
 
0.2%
66549142000 1
 
0.2%
119483298000 1
 
0.2%
19933709227 1
 
0.2%
22955178069 1
 
0.2%
30032790000 1
 
0.2%
22787693000 1
 
0.2%
22741012081 1
 
0.2%
5983950000 1
 
0.2%
Other values (644) 644
98.5%
ValueCountFrequency (%)
1001188980 1
0.2%
1004857000 1
0.2%
1004993000 1
0.2%
1012679600 1
0.2%
1013042070 1
0.2%
1014826570 1
0.2%
1015156200 1
0.2%
1016749810 1
0.2%
1017212680 1
0.2%
1024279000 1
0.2%
ValueCountFrequency (%)
727220233000 1
0.2%
699740993000 1
0.2%
509596677870 1
0.2%
481056400000 1
0.2%
261197164930 1
0.2%
225016143211 1
0.2%
189363058029 1
0.2%
180246146000 1
0.2%
173239385437 1
0.2%
172704949000 1
0.2%

계약시작일
Real number (ℝ)

HIGH CORRELATION 

Distinct314
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20175028
Minimum20060629
Maximum20250331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T15:33:43.790535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20060629
5-th percentile20111078
Q120140324
median20180323
Q320210401
95-th percentile20230921
Maximum20250331
Range189702
Interquartile range (IQR)70077

Descriptive statistics

Standard deviation40636.858
Coefficient of variation (CV)0.0020142157
Kurtosis-1.0759301
Mean20175028
Median Absolute Deviation (MAD)30893
Skewness-0.12909662
Sum1.3194468 × 1010
Variance1.6513542 × 109
MonotonicityDecreasing
2024-05-11T15:33:44.057967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230401 37
 
5.7%
20210401 27
 
4.1%
20190401 26
 
4.0%
20170401 15
 
2.3%
20160401 11
 
1.7%
20150402 11
 
1.7%
20221024 9
 
1.4%
20130325 8
 
1.2%
20120315 8
 
1.2%
20140306 8
 
1.2%
Other values (304) 494
75.5%
ValueCountFrequency (%)
20060629 1
0.2%
20080806 1
0.2%
20090723 1
0.2%
20090728 2
0.3%
20090930 1
0.2%
20091021 1
0.2%
20100201 1
0.2%
20100720 1
0.2%
20100731 1
0.2%
20100917 1
0.2%
ValueCountFrequency (%)
20250331 2
0.3%
20241231 1
 
0.2%
20240501 2
0.3%
20240329 1
 
0.2%
20240327 2
0.3%
20240307 2
0.3%
20240219 3
0.5%
20240208 4
0.6%
20240202 1
 
0.2%
20240126 1
 
0.2%

계약종료일
Real number (ℝ)

HIGH CORRELATION 

Distinct278
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20192042
Minimum20130331
Maximum20280111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-05-11T15:33:44.287139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20130331
5-th percentile20130928
Q120160401
median20191130
Q320230114
95-th percentile20250430
Maximum20280111
Range149780
Interquartile range (IQR)69713

Descriptive statistics

Standard deviation37962.65
Coefficient of variation (CV)0.0018800797
Kurtosis-1.1139973
Mean20192042
Median Absolute Deviation (MAD)30764
Skewness0.0095868045
Sum1.3205596 × 1010
Variance1.4411628 × 109
MonotonicityNot monotonic
2024-05-11T15:33:44.519175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20250430 37
 
5.7%
20230331 27
 
4.1%
20210331 26
 
4.0%
20190331 18
 
2.8%
20231130 14
 
2.1%
20170331 11
 
1.7%
20160401 11
 
1.7%
20201120 9
 
1.4%
20230114 9
 
1.4%
20150331 8
 
1.2%
Other values (268) 484
74.0%
ValueCountFrequency (%)
20130331 8
1.2%
20130420 3
 
0.5%
20130430 1
 
0.2%
20130630 3
 
0.5%
20130708 3
 
0.5%
20130712 1
 
0.2%
20130724 3
 
0.5%
20130805 2
 
0.3%
20130830 2
 
0.3%
20130915 1
 
0.2%
ValueCountFrequency (%)
20280111 1
 
0.2%
20261106 4
 
0.6%
20260729 3
 
0.5%
20260630 3
 
0.5%
20260415 4
 
0.6%
20260318 4
 
0.6%
20250727 3
 
0.5%
20250726 1
 
0.2%
20250430 37
5.7%
20250328 1
 
0.2%

입찰방법
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
제한경쟁
619 
일반경쟁
 
22
수의계약
 
11
기타
 
1
조달계약
 
1

Length

Max length4
Median length4
Mean length3.9969419
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row수의계약
2nd row수의계약
3rd row수의계약
4th row일반경쟁
5th row일반경쟁

Common Values

ValueCountFrequency (%)
제한경쟁 619
94.6%
일반경쟁 22
 
3.4%
수의계약 11
 
1.7%
기타 1
 
0.2%
조달계약 1
 
0.2%

Length

2024-05-11T15:33:44.756271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:33:44.939330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 619
94.6%
일반경쟁 22
 
3.4%
수의계약 11
 
1.7%
기타 1
 
0.2%
조달계약 1
 
0.2%

계약대상
Text

Distinct566
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-05-11T15:33:45.238875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.7859327
Min length4

Characters and Unicode

Total characters5746
Distinct characters322
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique498 ?
Unique (%)76.1%

Sample

1st row지에스건설 주식회사
2nd row지에스건설 주식회사
3rd row지에스건설 주식회사
4th row공존종합건설 주식회사
5th row승지토건 주식회사
ValueCountFrequency (%)
주식회사 244
 
26.7%
한신공영(주 5
 
0.5%
주 5
 
0.5%
대흥토건 4
 
0.4%
금호산업(주 4
 
0.4%
계룡건설산업(주 4
 
0.4%
株式會社 4
 
0.4%
진흥기업(주 4
 
0.4%
한일건설 3
 
0.3%
도아기업 3
 
0.3%
Other values (565) 634
69.4%
2024-05-11T15:33:45.797481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 640
 
11.1%
( 350
 
6.1%
) 348
 
6.1%
사 318
 
5.5%
회 288
 
5.0%
식 286
 
5.0%
262
 
4.6%
건 252
 
4.4%
설 217
 
3.8%
이 129
 
2.2%
Other values (312) 2656
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4771
83.0%
Open Punctuation 350
 
6.1%
Close Punctuation 348
 
6.1%
Space Separator 262
 
4.6%
Uppercase Letter 9
 
0.2%
Other Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 640
 
13.4%
사 318
 
6.7%
회 288
 
6.0%
식 286
 
6.0%
건 252
 
5.3%
설 217
 
4.5%
이 129
 
2.7%
스 79
 
1.7%
업 73
 
1.5%
전 71
 
1.5%
Other values (294) 2418
50.7%
Uppercase Letter
ValueCountFrequency (%)
Y 1
11.1%
E 1
11.1%
N 1
11.1%
C 1
11.1%
L 1
11.1%
S 1
11.1%
T 1
11.1%
D 1
11.1%
A 1
11.1%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
d 1
50.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 350
100.0%
Close Punctuation
ValueCountFrequency (%)
) 348
100.0%
Space Separator
ValueCountFrequency (%)
262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4733
82.4%
Common 964
 
16.8%
Han 38
 
0.7%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 640
 
13.5%
사 318
 
6.7%
회 288
 
6.1%
식 286
 
6.0%
건 252
 
5.3%
설 217
 
4.6%
이 129
 
2.7%
스 79
 
1.7%
업 73
 
1.5%
전 71
 
1.5%
Other values (278) 2380
50.3%
Han
ValueCountFrequency (%)
設 5
13.2%
建 5
13.2%
式 4
10.5%
株 4
10.5%
社 4
10.5%
會 4
10.5%
林 2
 
5.3%
栗 2
 
5.3%
興 1
 
2.6%
中 1
 
2.6%
Other values (6) 6
15.8%
Latin
ValueCountFrequency (%)
Y 1
9.1%
E 1
9.1%
N 1
9.1%
C 1
9.1%
L 1
9.1%
t 1
9.1%
d 1
9.1%
S 1
9.1%
T 1
9.1%
D 1
9.1%
Common
ValueCountFrequency (%)
( 350
36.3%
) 348
36.1%
262
27.2%
. 1
 
0.1%
, 1
 
0.1%
1 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4733
82.4%
ASCII 975
 
17.0%
CJK 36
 
0.6%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 640
 
13.5%
사 318
 
6.7%
회 288
 
6.1%
식 286
 
6.0%
건 252
 
5.3%
설 217
 
4.6%
이 129
 
2.7%
스 79
 
1.7%
업 73
 
1.5%
전 71
 
1.5%
Other values (278) 2380
50.3%
ASCII
ValueCountFrequency (%)
( 350
35.9%
) 348
35.7%
262
26.9%
Y 1
 
0.1%
E 1
 
0.1%
N 1
 
0.1%
C 1
 
0.1%
. 1
 
0.1%
, 1
 
0.1%
L 1
 
0.1%
Other values (8) 8
 
0.8%
CJK
ValueCountFrequency (%)
設 5
13.9%
建 5
13.9%
式 4
11.1%
株 4
11.1%
社 4
11.1%
會 4
11.1%
林 2
 
5.6%
興 1
 
2.8%
中 1
 
2.8%
陽 1
 
2.8%
Other values (5) 5
13.9%
CJK Compat Ideographs
ValueCountFrequency (%)
栗 2
100.0%

Interactions

2024-05-11T15:33:40.263489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:38.420419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:39.065258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:39.696492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:40.406276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:38.573209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:39.223242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:39.848886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:40.577653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:38.733343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:39.378797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:39.989522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:40.759730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:38.906937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:39.548076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:33:40.126934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T15:33:45.990723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약번호계약금액(원)계약시작일계약종료일입찰방법
계약번호1.0000.3860.9370.2800.293
계약금액(원)0.3861.0000.3670.1420.375
계약시작일0.9370.3671.0000.8050.356
계약종료일0.2800.1420.8051.0000.286
입찰방법0.2930.3750.3560.2861.000
2024-05-11T15:33:46.161837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약번호계약금액(원)계약시작일계약종료일입찰방법
계약번호1.000-0.3280.9990.9620.261
계약금액(원)-0.3281.000-0.327-0.1870.250
계약시작일0.999-0.3271.0000.9630.232
계약종료일0.962-0.1870.9631.0000.120
입찰방법0.2610.2500.2320.1201.000

Missing values

2024-05-11T15:33:40.973242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T15:33:41.154830image/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.

Sample

계약번호계약명계약금액(원)계약시작일계약종료일입찰방법계약대상
0994187중계본동 주택재개발정비사업 공동주택 정보통신공사193704429402025033120260630수의계약지에스건설 주식회사
1994186중계본동 주택재개발정비사업 공동주택 전기공사426727479302025033120260630수의계약지에스건설 주식회사
2992559중계본동 주택재개발정비사업 공동주택 건설공사5095966778702024123120260630수의계약지에스건설 주식회사
31002751서울혁신파크 석면해체 및 건축물 철거공사(2공구)19942400002024050120241126일반경쟁공존종합건설 주식회사
41002734서울혁신파크 석면해체 및 건축물 철거공사(1공구)15309986402024050120241126일반경쟁승지토건 주식회사
51001020서울시 노동자복지관 복합화사업 석면해체 및 지장물 철거공사10849685302024032920250328일반경쟁기찬종합건설((주)
610008392024-시설관리부-재도장공사(답십리동아 외 4개단지)19834730002024032720240619제한경쟁에코랜드건설 주식회사
710008292024-시설관리부-재도장공사(공덕삼성 외 4개단지)12489060002024032720240619제한경쟁주식회사 다온아이앤씨
89996332024년도 남산타운 외 3개단지 세대분전반 교체공사12996416102024030720240803제한경쟁한국전기개발공사
99996352024년도 신당삼성 외 8개단지 세대분전반 교체공사11920923702024030720240803제한경쟁(주)우진일렉트
계약번호계약명계약금액(원)계약시작일계약종료일입찰방법계약대상
644902682양재 및 묵동 시프트 건설공사633513308092010073120130708제한경쟁금호산업(주)
645904100양재동 시프트(101번지 212번지) 및 묵동7번지 시프트 건설공사 책임감리용역28470000002010072020130712일반경쟁(주)아이티엠코퍼레이션건축사사무소
64616262마곡구역 도시개발사업 단지조성공사(2공구)1035030000002010020120160331제한경쟁진흥기업(주)
64716316마곡도시개발구역 지장물 철거공사15746905032009102120161231일반경쟁정원환경산업(주)
64816084마곡구역 도시개발사업 단지조성공사(1공구)1175665900002009093020151231제한경쟁금호산업(주)
64915953우면2지구 국민임대주택단지 B공구 조경공사103860880002009072820130630일반경쟁(주)한진중공업
65015952우면2지구 국민임대주택단지 A공구 조경공사105304000002009072820130630일반경쟁풍림산업(주)
65115951세곡지구 국민임대주택단지 조성사업 조경공사114421200002009072320131231일반경쟁(주)오렌지이엔지
65215616세운4구역 도시환경정비사업 시설공사7272202330002008080620130805수의계약대림산업(주)
65315482세운4구역 도시환경정비사업 시설공사6997409930002006062920130805일반경쟁대림산업(주)