Overview

Dataset statistics

Number of variables10
Number of observations227
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.5 KiB
Average record size in memory83.6 B

Variable types

Numeric3
Text1
Categorical5
DateTime1

Dataset

Description한국가스공사 의 연간 공사 발주계획(사업명, 사업지역, 계약방법, 예산액, 해당 사업소)을 공공에게 개방하여 이해관계자(건설사)의 업무 편의에 기여
Author한국가스공사
URLhttps://www.data.go.kr/data/15118073/fileData.do

Alerts

연번(No) is highly overall correlated with 발주월High correlation
발주월 is highly overall correlated with 연번(No)High correlation
예산액(원_부가세 포함) is highly overall correlated with 처실사업소 and 1 other fieldsHigh correlation
공사지역 is highly overall correlated with 처실사업소High correlation
처실사업소 is highly overall correlated with 예산액(원_부가세 포함) and 2 other fieldsHigh correlation
부서명 is highly overall correlated with 예산액(원_부가세 포함) and 1 other fieldsHigh correlation
연번(No) has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:31:19.390918
Analysis finished2024-03-15 00:31:23.939250
Duration4.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번(No)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct227
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114
Minimum1
Maximum227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-15T09:31:24.362117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.3
Q157.5
median114
Q3170.5
95-th percentile215.7
Maximum227
Range226
Interquartile range (IQR)113

Descriptive statistics

Standard deviation65.673435
Coefficient of variation (CV)0.57608276
Kurtosis-1.2
Mean114
Median Absolute Deviation (MAD)57
Skewness0
Sum25878
Variance4313
MonotonicityStrictly increasing
2024-03-15T09:31:24.853239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
144 1
 
0.4%
146 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
Other values (217) 217
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%
218 1
0.4%

발주월
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2687225
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-15T09:31:25.145868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3029492
Coefficient of variation (CV)0.53949377
Kurtosis-0.41028923
Mean4.2687225
Median Absolute Deviation (MAD)2
Skewness0.55566857
Sum969
Variance5.3035749
MonotonicityIncreasing
2024-03-15T09:31:25.330014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 57
25.1%
4 28
12.3%
5 27
11.9%
1 26
11.5%
6 24
10.6%
2 23
10.1%
7 17
 
7.5%
8 15
 
6.6%
10 6
 
2.6%
9 4
 
1.8%
ValueCountFrequency (%)
1 26
11.5%
2 23
10.1%
3 57
25.1%
4 28
12.3%
5 27
11.9%
6 24
10.6%
7 17
 
7.5%
8 15
 
6.6%
9 4
 
1.8%
10 6
 
2.6%
ValueCountFrequency (%)
10 6
 
2.6%
9 4
 
1.8%
8 15
 
6.6%
7 17
 
7.5%
6 24
10.6%
5 27
11.9%
4 28
12.3%
3 57
25.1%
2 23
10.1%
1 26
11.5%

공사명
Text

Distinct223
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T09:31:26.116602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length29
Mean length20
Min length9

Characters and Unicode

Total characters4540
Distinct characters340
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique221 ?
Unique (%)97.4%

Sample

1st row영월관리소 초음파 계량설비 교체 전기공사
2nd row영월관리소 계량설비 교체공사
3rd rowGHP 대기배출시설 편입관련 냉난방설비 환경(E) 개선
4th row증발가스압축기 Circum-seal 반출수리
5th row5기지 송출배관 전기소방공사(평택~안산, 평택~오산)
ValueCountFrequency (%)
2024년 28
 
3.3%
교체공사 24
 
2.9%
배관이설공사 23
 
2.7%
공사 23
 
2.7%
및 20
 
2.4%
설치공사 17
 
2.0%
전기공사 15
 
1.8%
공급시설 14
 
1.7%
보수공사 12
 
1.4%
공급관리소 11
 
1.3%
Other values (412) 652
77.7%
2024-03-15T09:31:27.287875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
616
 
13.6%
공 259
 
5.7%
사 236
 
5.2%
설 157
 
3.5%
관 109
 
2.4%
기 100
 
2.2%
2 80
 
1.8%
비 72
 
1.6%
지 71
 
1.6%
리 68
 
1.5%
Other values (330) 2772
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3321
73.1%
Space Separator 616
 
13.6%
Decimal Number 188
 
4.1%
Uppercase Letter 143
 
3.1%
Lowercase Letter 61
 
1.3%
Close Punctuation 58
 
1.3%
Open Punctuation 58
 
1.3%
Math Symbol 57
 
1.3%
Other Punctuation 28
 
0.6%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 259
 
7.8%
사 236
 
7.1%
설 157
 
4.7%
관 109
 
3.3%
기 100
 
3.0%
비 72
 
2.2%
지 71
 
2.1%
리 68
 
2.0%
보 67
 
2.0%
소 67
 
2.0%
Other values (268) 2115
63.7%
Uppercase Letter
ValueCountFrequency (%)
I 16
11.2%
C 14
 
9.8%
E 14
 
9.8%
L 13
 
9.1%
G 11
 
7.7%
S 10
 
7.0%
D 9
 
6.3%
H 7
 
4.9%
B 7
 
4.9%
R 7
 
4.9%
Other values (11) 35
24.5%
Lowercase Letter
ValueCountFrequency (%)
o 9
14.8%
e 8
13.1%
r 6
9.8%
t 6
9.8%
l 5
8.2%
n 5
8.2%
i 4
 
6.6%
c 3
 
4.9%
a 3
 
4.9%
g 2
 
3.3%
Other values (9) 10
16.4%
Decimal Number
ValueCountFrequency (%)
2 80
42.6%
4 35
18.6%
0 32
 
17.0%
1 19
 
10.1%
5 9
 
4.8%
3 7
 
3.7%
9 3
 
1.6%
6 1
 
0.5%
7 1
 
0.5%
8 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 13
46.4%
/ 6
21.4%
' 5
 
17.9%
# 2
 
7.1%
· 2
 
7.1%
Math Symbol
ValueCountFrequency (%)
~ 54
94.7%
→ 2
 
3.5%
> 1
 
1.8%
Space Separator
ValueCountFrequency (%)
616
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3321
73.1%
Common 1015
 
22.4%
Latin 204
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 259
 
7.8%
사 236
 
7.1%
설 157
 
4.7%
관 109
 
3.3%
기 100
 
3.0%
비 72
 
2.2%
지 71
 
2.1%
리 68
 
2.0%
보 67
 
2.0%
소 67
 
2.0%
Other values (268) 2115
63.7%
Latin
ValueCountFrequency (%)
I 16
 
7.8%
C 14
 
6.9%
E 14
 
6.9%
L 13
 
6.4%
G 11
 
5.4%
S 10
 
4.9%
o 9
 
4.4%
D 9
 
4.4%
e 8
 
3.9%
H 7
 
3.4%
Other values (30) 93
45.6%
Common
ValueCountFrequency (%)
616
60.7%
2 80
 
7.9%
) 58
 
5.7%
( 58
 
5.7%
~ 54
 
5.3%
4 35
 
3.4%
0 32
 
3.2%
1 19
 
1.9%
, 13
 
1.3%
- 10
 
1.0%
Other values (12) 40
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3321
73.1%
ASCII 1215
 
26.8%
Arrows 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
616
50.7%
2 80
 
6.6%
) 58
 
4.8%
( 58
 
4.8%
~ 54
 
4.4%
4 35
 
2.9%
0 32
 
2.6%
1 19
 
1.6%
I 16
 
1.3%
C 14
 
1.2%
Other values (50) 233
 
19.2%
Hangul
ValueCountFrequency (%)
공 259
 
7.8%
사 236
 
7.1%
설 157
 
4.7%
관 109
 
3.3%
기 100
 
3.0%
비 72
 
2.2%
지 71
 
2.1%
리 68
 
2.0%
보 67
 
2.0%
소 67
 
2.0%
Other values (268) 2115
63.7%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

공사지역
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
경기도
44 
경상남도
37 
강원도
20 
경상북도
20 
인천광역시
20 
Other values (11)
86 

Length

Max length7
Median length5
Mean length4
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row강원도
2nd row강원도
3rd row강원도
4th row경기도
5th row경기도

Common Values

ValueCountFrequency (%)
경기도 44
19.4%
경상남도 37
16.3%
강원도 20
8.8%
경상북도 20
8.8%
인천광역시 20
8.8%
충청남도 20
8.8%
전라남도 17
 
7.5%
충청북도 12
 
5.3%
서울특별시 8
 
3.5%
전라북도 7
 
3.1%
Other values (6) 22
9.7%

Length

2024-03-15T09:31:27.726051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 44
19.4%
경상남도 37
16.3%
강원도 20
8.8%
경상북도 20
8.8%
인천광역시 20
8.8%
충청남도 20
8.8%
전라남도 17
 
7.5%
충청북도 12
 
5.3%
서울특별시 8
 
3.5%
전라북도 7
 
3.1%
Other values (6) 22
9.7%

공종
Categorical

Distinct8
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
전문
136 
전기
36 
기타
19 
건축
 
10
소방
 
8
Other values (3)
18 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전기
2nd row기타
3rd row기타
4th row기타
5th row소방

Common Values

ValueCountFrequency (%)
전문 136
59.9%
전기 36
 
15.9%
기타 19
 
8.4%
건축 10
 
4.4%
소방 8
 
3.5%
토목 8
 
3.5%
토건 6
 
2.6%
통신 4
 
1.8%

Length

2024-03-15T09:31:28.132028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:31:28.470660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문 136
59.9%
전기 36
 
15.9%
기타 19
 
8.4%
건축 10
 
4.4%
소방 8
 
3.5%
토목 8
 
3.5%
토건 6
 
2.6%
통신 4
 
1.8%

계약방법
Categorical

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
제한경쟁
137 
일반경쟁
72 
수의계약
16 
지명경쟁
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한경쟁 137
60.4%
일반경쟁 72
31.7%
수의계약 16
 
7.0%
지명경쟁 2
 
0.9%

Length

2024-03-15T09:31:28.851178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:31:29.158165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 137
60.4%
일반경쟁 72
31.7%
수의계약 16
 
7.0%
지명경쟁 2
 
0.9%

예산액(원_부가세 포함)
Real number (ℝ)

HIGH CORRELATION 

Distinct195
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0520674 × 109
Minimum2000000
Maximum6.68 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-15T09:31:29.523553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000000
5-th percentile20000000
Q174121850
median1.75 × 108
Q37.5625 × 108
95-th percentile6.2040314 × 109
Maximum6.68 × 1011
Range6.67998 × 1011
Interquartile range (IQR)6.8212815 × 108

Descriptive statistics

Standard deviation5.5468906 × 1010
Coefficient of variation (CV)7.8656234
Kurtosis114.51331
Mean7.0520674 × 109
Median Absolute Deviation (MAD)1.45 × 108
Skewness10.515894
Sum1.6008193 × 1012
Variance3.0767996 × 1021
MonotonicityNot monotonic
2024-03-15T09:31:29.979937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000000.0 13
 
5.7%
100000000.0 4
 
1.8%
300000000.0 3
 
1.3%
150000000.0 3
 
1.3%
110000000.0 3
 
1.3%
533588584.1 3
 
1.3%
25300000.0 2
 
0.9%
66000000.0 2
 
0.9%
187000000.0 2
 
0.9%
330000000.0 2
 
0.9%
Other values (185) 190
83.7%
ValueCountFrequency (%)
2000000.0 1
 
0.4%
3080000.0 1
 
0.4%
3850000.0 1
 
0.4%
14600000.0 1
 
0.4%
15000000.0 1
 
0.4%
16107000.0 1
 
0.4%
18000000.0 1
 
0.4%
20000000.0 13
5.7%
20130000.0 1
 
0.4%
20900000.0 1
 
0.4%
ValueCountFrequency (%)
668000000000.0 1
0.4%
489000000000.0 1
0.4%
105000000000.0 1
0.4%
75115649270.0 1
0.4%
61000000000.0 1
0.4%
11000000000.0 1
0.4%
9700000000.0 1
0.4%
8212357560.0 1
0.4%
7744310640.0 1
0.4%
6552000000.0 1
0.4%

처실사업소
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
부산경남지역본부
23 
건설설계처
21 
대구경북지역본부
19 
통영기지본부
19 
경기지역본부
18 
Other values (13)
127 

Length

Max length8
Median length6
Mean length6.5638767
Min length5

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row강원지역본부
2nd row강원지역본부
3rd row강원지역본부
4th row삼척기지본부
5th row건설설계처

Common Values

ValueCountFrequency (%)
부산경남지역본부 23
10.1%
건설설계처 21
 
9.3%
대구경북지역본부 19
 
8.4%
통영기지본부 19
 
8.4%
경기지역본부 18
 
7.9%
서울지역본부 17
 
7.5%
광주전남지역본부 17
 
7.5%
삼척기지본부 14
 
6.2%
대전충청지역본부 13
 
5.7%
평택기지본부 13
 
5.7%
Other values (8) 53
23.3%

Length

2024-03-15T09:31:30.432136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부산경남지역본부 23
10.1%
건설설계처 21
 
9.3%
대구경북지역본부 19
 
8.4%
통영기지본부 19
 
8.4%
경기지역본부 18
 
7.9%
서울지역본부 17
 
7.5%
광주전남지역본부 17
 
7.5%
삼척기지본부 14
 
6.2%
인천기지본부 13
 
5.7%
대전충청지역본부 13
 
5.7%
Other values (7) 53
23.3%

부서명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
설비보전부
82 
관로보전부
56 
기계보전부
29 
설계공무부
21 
시설보전부
19 
Other values (6)
20 

Length

Max length5
Median length5
Mean length4.969163
Min length3

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row설비보전부
2nd row설비보전부
3rd row설비보전부
4th row기계보전부
5th row설계공무부

Common Values

ValueCountFrequency (%)
설비보전부 82
36.1%
관로보전부 56
24.7%
기계보전부 29
 
12.8%
설계공무부 21
 
9.3%
시설보전부 19
 
8.4%
계전보전부 11
 
4.8%
울산보전부 4
 
1.8%
총무부 2
 
0.9%
생산개선부 1
 
0.4%
순천지사 1
 
0.4%

Length

2024-03-15T09:31:30.902535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
설비보전부 82
36.1%
관로보전부 56
24.7%
기계보전부 29
 
12.8%
설계공무부 21
 
9.3%
시설보전부 19
 
8.4%
계전보전부 11
 
4.8%
울산보전부 4
 
1.8%
총무부 2
 
0.9%
생산개선부 1
 
0.4%
순천지사 1
 
0.4%

준공(예정)년월
Date

Distinct33
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2024-01-01 00:00:00
Maximum2028-01-01 00:00:00
2024-03-15T09:31:31.285990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:31:31.738159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

Interactions

2024-03-15T09:31:22.273224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:31:20.764077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:31:21.493199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:31:22.530656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:31:20.995462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:31:21.781002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:31:22.858603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:31:21.232366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:31:22.013400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:31:31.995237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(No)발주월공사지역공종계약방법예산액(원_부가세 포함)처실사업소부서명준공(예정)년월
연번(No)1.0000.9850.5560.0820.0000.0000.5640.2520.564
발주월0.9851.0000.3730.1860.0000.0000.4420.3650.600
공사지역0.5560.3731.0000.6670.4720.4400.9550.8030.704
공종0.0820.1860.6671.0000.1960.5580.7050.7370.713
계약방법0.0000.0000.4720.1961.0000.2390.6040.4460.370
예산액(원_부가세 포함)0.0000.0000.4400.5580.2391.0000.7920.7770.959
처실사업소0.5640.4420.9550.7050.6040.7921.0000.9030.780
부서명0.2520.3650.8030.7370.4460.7770.9031.0000.870
준공(예정)년월0.5640.6000.7040.7130.3700.9590.7800.8701.000
2024-03-15T09:31:32.279850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공종처실사업소계약방법공사지역부서명
공종1.0000.3810.0870.2910.462
처실사업소0.3811.0000.3630.7230.620
계약방법0.0870.3631.0000.2310.280
공사지역0.2910.7230.2311.0000.459
부서명0.4620.6200.2800.4591.000
2024-03-15T09:31:32.556348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(No)발주월예산액(원_부가세 포함)공사지역공종계약방법처실사업소부서명
연번(No)1.0000.988-0.1780.2470.0380.0000.2470.106
발주월0.9881.000-0.2250.1530.0880.0000.1810.163
예산액(원_부가세 포함)-0.178-0.2251.0000.2140.2740.0960.5530.581
공사지역0.2470.1530.2141.0000.2910.2310.7230.459
공종0.0380.0880.2740.2911.0000.0870.3810.462
계약방법0.0000.0000.0960.2310.0871.0000.3630.280
처실사업소0.2470.1810.5530.7230.3810.3631.0000.620
부서명0.1060.1630.5810.4590.4620.2800.6201.000

Missing values

2024-03-15T09:31:23.234891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:31:23.746163image/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

연번(No)발주월공사명공사지역공종계약방법예산액(원_부가세 포함)처실사업소부서명준공(예정)년월
011영월관리소 초음파 계량설비 교체 전기공사강원도전기제한경쟁73400800.0강원지역본부설비보전부2024-07-01
121영월관리소 계량설비 교체공사강원도기타제한경쟁149865000.0강원지역본부설비보전부2024-07-01
231GHP 대기배출시설 편입관련 냉난방설비 환경(E) 개선강원도기타제한경쟁490000000.0강원지역본부설비보전부2024-07-01
341증발가스압축기 Circum-seal 반출수리경기도기타수의계약40968180.0삼척기지본부기계보전부2024-08-01
4515기지 송출배관 전기소방공사(평택~안산, 평택~오산)경기도소방일반경쟁60390000.0건설설계처설계공무부2024-10-31
561초저온 전동기 성능보강 반출수리 공사경기도전기제한경쟁359000000.0평택기지본부계전보전부2024-12-01
671문발~교하(시도1호선)구간 배관이설공사경기도전문일반경쟁5568000000.0서울지역본부관로보전부2024-12-01
7815기지 송출배관 전기공사(평택~안산, 평택~오산)경기도전기일반경쟁6269187760.0건설설계처설계공무부2024-10-31
891두원~금촌(김포~파주4공구)구간 배관이설공사경기도전문일반경쟁6546000000.0서울지역본부관로보전부2024-10-01
9101대원~교하~금촌(시도1호선)구간 배관이설공사경기도전문일반경쟁6552000000.0서울지역본부관로보전부2024-12-01
연번(No)발주월공사명공사지역공종계약방법예산액(원_부가세 포함)처실사업소부서명준공(예정)년월
2172189공급관리소 보안시설 보강공사강원도건축제한경쟁338000000.0강원지역본부설비보전부2024-05-01
21821992024년 ECDA구간 굴착공사 및 배관보수인천광역시전문제한경쟁49500000.0인천지역본부관로보전부2024-12-01
2192209소화용수계통 개선공사제주특별자치도전문제한경쟁20000000.0제주LNG본부설비보전부2024-10-01
2202219공기식기화기 기화효율 개선공사제주특별자치도전문제한경쟁20000000.0제주LNG본부설비보전부2024-10-01
22122210'24년 보온보수공사경기도전문수의계약20000000.0평택기지본부기계보전부2024-10-01
22222310소방시설 보수공사경상남도소방일반경쟁2000000.0부산경남지역본부안전부2024-01-01
22322410통영기지 2부두 하역암 계획정비공사경상남도전문제한경쟁5235578240.0통영기지본부기계보전부2025-01-01
224225101기지 차염주입설비 개선공사인천광역시전문제한경쟁140000000.0인천기지본부기계보전부2025-03-01
22522610보성~벌교구간 공급시설 전기소방공사전라남도소방일반경쟁187000000.0건설설계처설계공무부2025-10-31
22622710보성~벌교구간 공급시설 전기공사전라남도전기일반경쟁8212357560.0건설설계처설계공무부2025-10-31