Overview

Dataset statistics

Number of variables8
Number of observations379
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.9 KiB
Average record size in memory67.3 B

Variable types

Numeric3
Text2
Categorical3

Dataset

Description한국가스공사 의 연간 용역의 발주계획(사업명, 사업지역, 계약방법, 예산액, 해당 사업소)을 공공에게 개방하여 이해관계자(용역사)의 업무 편의에 기여
Author한국가스공사
URLhttps://www.data.go.kr/data/15118075/fileData.do

Alerts

연번(No) is highly overall correlated with 발주월High correlation
발주월 is highly overall correlated with 연번(No)High correlation
연번(No) has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:35:54.529004
Analysis finished2024-03-14 12:35:58.573403
Duration4.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번(No)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct379
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190
Minimum1
Maximum379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-03-14T21:35:58.774674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.9
Q195.5
median190
Q3284.5
95-th percentile360.1
Maximum379
Range378
Interquartile range (IQR)189

Descriptive statistics

Standard deviation109.55212
Coefficient of variation (CV)0.5765901
Kurtosis-1.2
Mean190
Median Absolute Deviation (MAD)95
Skewness0
Sum72010
Variance12001.667
MonotonicityStrictly increasing
2024-03-14T21:35:59.215154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
251 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
256 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
Other values (369) 369
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%
375 1
0.3%
374 1
0.3%
373 1
0.3%
372 1
0.3%
371 1
0.3%
370 1
0.3%

발주월
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1029024
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-03-14T21:35:59.559812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q38
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.2905938
Coefficient of variation (CV)0.64484749
Kurtosis-0.90737504
Mean5.1029024
Median Absolute Deviation (MAD)3
Skewness0.48047447
Sum1934
Variance10.828007
MonotonicityIncreasing
2024-03-14T21:35:59.930108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 62
16.4%
3 61
16.1%
2 37
9.8%
6 34
9.0%
5 33
8.7%
4 28
7.4%
8 28
7.4%
7 25
6.6%
10 24
 
6.3%
9 18
 
4.7%
Other values (2) 29
7.7%
ValueCountFrequency (%)
1 62
16.4%
2 37
9.8%
3 61
16.1%
4 28
7.4%
5 33
8.7%
6 34
9.0%
7 25
6.6%
8 28
7.4%
9 18
 
4.7%
10 24
 
6.3%
ValueCountFrequency (%)
12 14
 
3.7%
11 15
 
4.0%
10 24
 
6.3%
9 18
 
4.7%
8 28
7.4%
7 25
6.6%
6 34
9.0%
5 33
8.7%
4 28
7.4%
3 61
16.1%

용역명
Text

Distinct374
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-14T21:36:00.815237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length33
Mean length21.46438
Min length6

Characters and Unicode

Total characters8135
Distinct characters423
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique370 ?
Unique (%)97.6%

Sample

1st row채권 압류 관련 공탁 용역
2nd row사옥 소방시설 작동기능,종합정밀점검
3rd row평택~오산(우수암거)구간 배관이설공사 GIS 측량용역
4th row오수처리설비 경상정비공사 재해예방기술지도
5th row매전~청도(청도대교)구간 배관이설공사 GIS 측량
ValueCountFrequency (%)
용역 143
 
8.9%
2024년 66
 
4.1%
및 47
 
2.9%
배관이설공사 33
 
2.1%
기술용역 19
 
1.2%
건설사업관리용역 18
 
1.1%
유지보수 16
 
1.0%
배관이설 14
 
0.9%
운영 14
 
0.9%
비파괴검사 14
 
0.9%
Other values (748) 1221
76.1%
2024-03-14T21:36:02.151181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1231
 
15.1%
역 326
 
4.0%
용 311
 
3.8%
2 235
 
2.9%
사 193
 
2.4%
설 171
 
2.1%
기 146
 
1.8%
관 140
 
1.7%
지 128
 
1.6%
공 110
 
1.4%
Other values (413) 5144
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5765
70.9%
Space Separator 1231
 
15.1%
Decimal Number 510
 
6.3%
Uppercase Letter 305
 
3.7%
Close Punctuation 75
 
0.9%
Open Punctuation 75
 
0.9%
Lowercase Letter 70
 
0.9%
Math Symbol 60
 
0.7%
Other Punctuation 30
 
0.4%
Dash Punctuation 10
 
0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 326
 
5.7%
용 311
 
5.4%
사 193
 
3.3%
설 171
 
3.0%
기 146
 
2.5%
관 140
 
2.4%
지 128
 
2.2%
공 110
 
1.9%
리 104
 
1.8%
년 100
 
1.7%
Other values (349) 4036
70.0%
Uppercase Letter
ValueCountFrequency (%)
S 59
19.3%
G 36
11.8%
I 31
10.2%
A 23
 
7.5%
E 18
 
5.9%
L 17
 
5.6%
D 16
 
5.2%
O 14
 
4.6%
N 13
 
4.3%
P 12
 
3.9%
Other values (12) 66
21.6%
Lowercase Letter
ValueCountFrequency (%)
a 8
11.4%
i 8
11.4%
e 8
11.4%
r 7
10.0%
y 5
 
7.1%
n 5
 
7.1%
t 4
 
5.7%
s 4
 
5.7%
o 3
 
4.3%
d 3
 
4.3%
Other values (7) 15
21.4%
Decimal Number
ValueCountFrequency (%)
2 235
46.1%
0 109
21.4%
4 92
 
18.0%
3 23
 
4.5%
5 22
 
4.3%
1 15
 
2.9%
7 6
 
1.2%
6 5
 
1.0%
9 2
 
0.4%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 16
53.3%
' 5
 
16.7%
/ 3
 
10.0%
· 3
 
10.0%
. 2
 
6.7%
& 1
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 74
98.7%
] 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 74
98.7%
[ 1
 
1.3%
Space Separator
ValueCountFrequency (%)
1231
100.0%
Math Symbol
ValueCountFrequency (%)
~ 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5765
70.9%
Common 1995
 
24.5%
Latin 375
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 326
 
5.7%
용 311
 
5.4%
사 193
 
3.3%
설 171
 
3.0%
기 146
 
2.5%
관 140
 
2.4%
지 128
 
2.2%
공 110
 
1.9%
리 104
 
1.8%
년 100
 
1.7%
Other values (349) 4036
70.0%
Latin
ValueCountFrequency (%)
S 59
15.7%
G 36
 
9.6%
I 31
 
8.3%
A 23
 
6.1%
E 18
 
4.8%
L 17
 
4.5%
D 16
 
4.3%
O 14
 
3.7%
N 13
 
3.5%
P 12
 
3.2%
Other values (29) 136
36.3%
Common
ValueCountFrequency (%)
1231
61.7%
2 235
 
11.8%
0 109
 
5.5%
4 92
 
4.6%
) 74
 
3.7%
( 74
 
3.7%
~ 60
 
3.0%
3 23
 
1.2%
5 22
 
1.1%
, 16
 
0.8%
Other values (15) 59
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5765
70.9%
ASCII 2366
29.1%
None 3
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1231
52.0%
2 235
 
9.9%
0 109
 
4.6%
4 92
 
3.9%
) 74
 
3.1%
( 74
 
3.1%
~ 60
 
2.5%
S 59
 
2.5%
G 36
 
1.5%
I 31
 
1.3%
Other values (52) 365
 
15.4%
Hangul
ValueCountFrequency (%)
역 326
 
5.7%
용 311
 
5.4%
사 193
 
3.3%
설 171
 
3.0%
기 146
 
2.5%
관 140
 
2.4%
지 128
 
2.2%
공 110
 
1.9%
리 104
 
1.8%
년 100
 
1.7%
Other values (349) 4036
70.0%
None
ValueCountFrequency (%)
· 3
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

계약방법
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
제한경쟁
178 
일반경쟁
118 
수의계약
73 
지명경쟁
 
10

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한경쟁 178
47.0%
일반경쟁 118
31.1%
수의계약 73
19.3%
지명경쟁 10
 
2.6%

Length

2024-03-14T21:36:02.565950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:36:02.904414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 178
47.0%
일반경쟁 118
31.1%
수의계약 73
19.3%
지명경쟁 10
 
2.6%

예산액(단위_원)
Real number (ℝ)

Distinct248
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6689866 × 108
Minimum300000
Maximum5.46 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-03-14T21:36:03.266488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300000
5-th percentile3000000
Q117100000
median44700000
Q31.8075 × 108
95-th percentile1.2687 × 109
Maximum5.46 × 1010
Range5.45997 × 1010
Interquartile range (IQR)1.6365 × 108

Descriptive statistics

Standard deviation3.6300124 × 109
Coefficient of variation (CV)6.4032828
Kurtosis155.69513
Mean5.6689866 × 108
Median Absolute Deviation (MAD)36200000
Skewness11.942486
Sum2.1485459 × 1011
Variance1.317699 × 1019
MonotonicityNot monotonic
2024-03-14T21:36:03.699865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3000000.0 8
 
2.1%
20000000.0 7
 
1.8%
200000000.0 7
 
1.8%
10000000.0 7
 
1.8%
30000000.0 7
 
1.8%
15000000.0 6
 
1.6%
24000000.0 6
 
1.6%
100000000.0 6
 
1.6%
11000000.0 6
 
1.6%
33000000.0 5
 
1.3%
Other values (238) 314
82.8%
ValueCountFrequency (%)
300000.0 1
 
0.3%
990000.0 1
 
0.3%
1100000.0 2
0.5%
1500000.0 1
 
0.3%
1650000.0 1
 
0.3%
1980000.0 1
 
0.3%
2000000.0 1
 
0.3%
2200000.0 2
0.5%
2700000.0 4
1.1%
2750000.0 1
 
0.3%
ValueCountFrequency (%)
54600000000.0 1
0.3%
32000000000.0 1
0.3%
30000000000.0 1
0.3%
6494000000.0 1
0.3%
6000000000.0 1
0.3%
4024900000.0 1
0.3%
3750000000.0 2
0.5%
3173000000.0 1
0.3%
2703000000.0 1
0.3%
2430000000.0 1
0.3%

처실사업소
Categorical

Distinct41
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
경영지원처
36 
가스연구원
30 
부산경남지역본부
29 
삼척기지본부
 
23
대구경북지역본부
 
23
Other values (36)
238 

Length

Max length8
Median length7
Mean length5.8865435
Min length3

Unique

Unique7 ?
Unique (%)1.8%

Sample

1st row경영지원처
2nd row전북지역본부
3rd row경기지역본부
4th row인천기지본부
5th row대구경북지역본부

Common Values

ValueCountFrequency (%)
경영지원처 36
 
9.5%
가스연구원 30
 
7.9%
부산경남지역본부 29
 
7.7%
삼척기지본부 23
 
6.1%
대구경북지역본부 23
 
6.1%
인천기지본부 21
 
5.5%
서울지역본부 17
 
4.5%
홍보실 17
 
4.5%
경기지역본부 15
 
4.0%
인천지역본부 15
 
4.0%
Other values (31) 153
40.4%

Length

2024-03-14T21:36:04.141055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경영지원처 36
 
9.5%
가스연구원 30
 
7.9%
부산경남지역본부 29
 
7.7%
삼척기지본부 23
 
6.1%
대구경북지역본부 23
 
6.1%
인천기지본부 21
 
5.5%
서울지역본부 17
 
4.5%
홍보실 17
 
4.5%
인천지역본부 15
 
4.0%
경기지역본부 15
 
4.0%
Other values (30) 153
40.4%

부서명
Text

Distinct74
Distinct (%)19.6%
Missing2
Missing (%)0.5%
Memory size3.1 KiB
2024-03-14T21:36:04.902489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.0424403
Min length3

Characters and Unicode

Total characters1901
Distinct characters125
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)9.0%

Sample

1st row급여복지부
2nd row안전부
3rd row관로보전부
4th row기계보전부
5th row관로보전부
ValueCountFrequency (%)
관로보전부 60
 
15.9%
안전부 52
 
13.8%
관리부 26
 
6.9%
설비보전부 21
 
5.6%
기계보전부 14
 
3.7%
설비기술연구소 12
 
3.2%
시설보전부 11
 
2.9%
인재육성부 10
 
2.7%
초저온기술연구소 10
 
2.7%
계전보전부 8
 
2.1%
Other values (63) 153
40.6%
2024-03-14T21:36:06.109166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 338
17.8%
전 200
 
10.5%
보 125
 
6.6%
관 99
 
5.2%
안 74
 
3.9%
설 60
 
3.2%
로 60
 
3.2%
소 48
 
2.5%
기 47
 
2.5%
사 38
 
2.0%
Other values (115) 812
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1848
97.2%
Uppercase Letter 52
 
2.7%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 338
18.3%
전 200
 
10.8%
보 125
 
6.8%
관 99
 
5.4%
안 74
 
4.0%
설 60
 
3.2%
로 60
 
3.2%
소 48
 
2.6%
기 47
 
2.5%
사 38
 
2.1%
Other values (105) 759
41.1%
Uppercase Letter
ValueCountFrequency (%)
G 12
23.1%
O 8
15.4%
K 8
15.4%
S 8
15.4%
A 8
15.4%
N 3
 
5.8%
L 3
 
5.8%
T 1
 
1.9%
P 1
 
1.9%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1848
97.2%
Latin 52
 
2.7%
Common 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 338
18.3%
전 200
 
10.8%
보 125
 
6.8%
관 99
 
5.4%
안 74
 
4.0%
설 60
 
3.2%
로 60
 
3.2%
소 48
 
2.6%
기 47
 
2.5%
사 38
 
2.1%
Other values (105) 759
41.1%
Latin
ValueCountFrequency (%)
G 12
23.1%
O 8
15.4%
K 8
15.4%
S 8
15.4%
A 8
15.4%
N 3
 
5.8%
L 3
 
5.8%
T 1
 
1.9%
P 1
 
1.9%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1848
97.2%
ASCII 53
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 338
18.3%
전 200
 
10.8%
보 125
 
6.8%
관 99
 
5.4%
안 74
 
4.0%
설 60
 
3.2%
로 60
 
3.2%
소 48
 
2.6%
기 47
 
2.5%
사 38
 
2.1%
Other values (105) 759
41.1%
ASCII
ValueCountFrequency (%)
G 12
22.6%
O 8
15.1%
K 8
15.1%
S 8
15.1%
A 8
15.1%
N 3
 
5.7%
L 3
 
5.7%
1
 
1.9%
T 1
 
1.9%
P 1
 
1.9%

준공(예정)년월
Categorical

Distinct39
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-12-01
99 
2024-11-01
26 
2024-09-01
24 
2024-06-01
21 
2025-12-01
 
17
Other values (34)
192 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)1.6%

Sample

1st row2024-12-01
2nd row2024-12-01
3rd row2024-12-01
4th row2025-01-01
5th row2024-09-01

Common Values

ValueCountFrequency (%)
2024-12-01 99
26.1%
2024-11-01 26
 
6.9%
2024-09-01 24
 
6.3%
2024-06-01 21
 
5.5%
2025-12-01 17
 
4.5%
2025-03-01 17
 
4.5%
2024-08-01 15
 
4.0%
2025-05-01 13
 
3.4%
2024-07-01 13
 
3.4%
2024-01-01 10
 
2.6%
Other values (29) 124
32.7%

Length

2024-03-14T21:36:06.521029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-12-01 99
26.1%
2024-11-01 26
 
6.9%
2024-09-01 24
 
6.3%
2024-06-01 21
 
5.5%
2025-12-01 17
 
4.5%
2025-03-01 17
 
4.5%
2024-08-01 15
 
4.0%
2025-05-01 13
 
3.4%
2024-07-01 13
 
3.4%
2024-01-01 10
 
2.6%
Other values (29) 124
32.7%

Interactions

2024-03-14T21:35:57.116704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:35:55.582310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:35:56.364356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:35:57.379496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:35:55.849869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:35:56.622564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:35:57.633394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:35:56.107320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:35:56.866830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:36:06.759599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(No)발주월계약방법예산액(단위_원)처실사업소부서명준공(예정)년월
연번(No)1.0000.9810.2560.1510.4520.5650.690
발주월0.9811.0000.1920.0570.2300.4420.648
계약방법0.2560.1921.0000.0000.4920.7070.384
예산액(단위_원)0.1510.0570.0001.0000.5110.5370.677
처실사업소0.4520.2300.4920.5111.0000.9940.662
부서명0.5650.4420.7070.5370.9941.0000.861
준공(예정)년월0.6900.6480.3840.6770.6620.8611.000
2024-03-14T21:36:07.043720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약방법처실사업소준공(예정)년월
계약방법1.0000.2570.194
처실사업소0.2571.0000.173
준공(예정)년월0.1940.1731.000
2024-03-14T21:36:07.299162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(No)발주월예산액(단위_원)계약방법처실사업소준공(예정)년월
연번(No)1.0000.994-0.1040.1540.1640.303
발주월0.9941.000-0.2030.1150.0760.272
예산액(단위_원)-0.104-0.2031.0000.0000.2690.395
계약방법0.1540.1150.0001.0000.2570.194
처실사업소0.1640.0760.2690.2571.0000.173
준공(예정)년월0.3030.2720.3950.1940.1731.000

Missing values

2024-03-14T21:35:57.982670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:35:58.408380image/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)발주월용역명계약방법예산액(단위_원)처실사업소부서명준공(예정)년월
011채권 압류 관련 공탁 용역수의계약2200000.0경영지원처급여복지부2024-12-01
121사옥 소방시설 작동기능,종합정밀점검지명경쟁2750000.0전북지역본부안전부2024-12-01
231평택~오산(우수암거)구간 배관이설공사 GIS 측량용역제한경쟁3000000.0경기지역본부관로보전부2024-12-01
341오수처리설비 경상정비공사 재해예방기술지도수의계약3000000.0인천기지본부기계보전부2025-01-01
451매전~청도(청도대교)구간 배관이설공사 GIS 측량제한경쟁4180000.0대구경북지역본부관로보전부2024-09-01
561특정소방시설 종합·작동점검 용역제한경쟁6000000.0서울지역본부안전부2024-11-01
671설계안전성 보고서 제작제한경쟁10000000.0강원지역본부관로보전부2024-03-01
781개별요금제 DES(SHELL) 하역항 제3자 LNG 검정용역지명경쟁10000000.0LNG구매처수입통관부2026-02-01
891소방시설 법정점검 용역제한경쟁12000000.0광주전남지역본부안전부2024-12-01
9101전력감시제어시스템(ESCS) 보안패치 용역수의계약15400000.0삼척기지본부계전보전부2025-12-01
연번(No)발주월용역명계약방법예산액(단위_원)처실사업소부서명준공(예정)년월
36937012전기안전관리대행 용역(본부권)수의계약19008000.0부산경남지역본부설비보전부2025-12-01
370371122025 본사 사옥 항온항습기 유지보수용역수의계약25300000.0경영지원처총무부2024-09-01
371372122025년 경기지역본부 사옥 소방시설 작동점검 및 종합점검 용역수의계약27500000.0경기지역본부안전부2025-12-01
372373122024년 대기배출시설 자가측정 대행 용역제한경쟁33000000.0경기지역본부안전부2024-12-01
373374122025년 대구노선 주말버스 임차용역제한경쟁35000000.0삼척기지본부관리부2026-01-01
37437512전기안전관리대행 용역(경남권)제한경쟁69033360.0부산경남지역본부설비보전부2026-12-01
37537612전북해저배관 사설항로표지 위탁관리용역제한경쟁73000000.0전북지역본부관로보전부2026-12-01
37637712가스연구원 디지털복합기 임차 용역일반경쟁100000000.0가스연구원연구관리부2027-12-01
377378122025년 수도권 주말버스 임차용역제한경쟁130000000.0삼척기지본부관리부2026-01-01
378379122025년 삼척시내 통근버스 임차용역제한경쟁200000000.0삼척기지본부관리부2026-01-01