Overview

Dataset statistics

Number of variables7
Number of observations154
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory59.8 B

Variable types

Text3
Numeric3
Categorical1

Dataset

Description2023년 한국석유공사에서 체결한 수의계약 정보로, 참조입찰번호, 수의계약 일련번호, 계약금액, 계약번호, 계약기간, 계약명, 수의계약사유 등을 확인할 수 있음
Author한국석유공사
URLhttps://www.data.go.kr/data/15100090/fileData.do

Alerts

수의계약일련번호 is highly overall correlated with 계약번호High correlation
계약번호 is highly overall correlated with 수의계약일련번호High correlation
수의계약일련번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 13:31:17.574813
Analysis finished2024-04-21 13:31:21.067964
Duration3.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

참조입찰번호
Text

Distinct74
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T22:31:21.766044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters2156
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)46.1%

Sample

1st rowKNOC2023010010
2nd rowKNOC2022120280
3rd rowKNOC2023010051
4th row
5th row
ValueCountFrequency (%)
knoc2023020070 3
 
3.9%
knoc2023090141 2
 
2.6%
knoc2023080170 1
 
1.3%
knoc2023080111 1
 
1.3%
knoc2023070131 1
 
1.3%
knoc2023070101 1
 
1.3%
knoc2023070111 1
 
1.3%
knoc2023070070 1
 
1.3%
knoc2023060280 1
 
1.3%
knoc2023070051 1
 
1.3%
Other values (63) 63
82.9%
2024-04-21T22:31:22.758465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1092
50.6%
0 316
 
14.7%
2 184
 
8.5%
1 85
 
3.9%
3 84
 
3.9%
K 76
 
3.5%
N 76
 
3.5%
O 76
 
3.5%
C 76
 
3.5%
7 24
 
1.1%
Other values (5) 67
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Space Separator 1092
50.6%
Decimal Number 760
35.3%
Uppercase Letter 304
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 316
41.6%
2 184
24.2%
1 85
 
11.2%
3 84
 
11.1%
7 24
 
3.2%
6 18
 
2.4%
4 16
 
2.1%
8 16
 
2.1%
5 9
 
1.2%
9 8
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
K 76
25.0%
N 76
25.0%
O 76
25.0%
C 76
25.0%
Space Separator
ValueCountFrequency (%)
1092
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1852
85.9%
Latin 304
 
14.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1092
59.0%
0 316
 
17.1%
2 184
 
9.9%
1 85
 
4.6%
3 84
 
4.5%
7 24
 
1.3%
6 18
 
1.0%
4 16
 
0.9%
8 16
 
0.9%
5 9
 
0.5%
Latin
ValueCountFrequency (%)
K 76
25.0%
N 76
25.0%
O 76
25.0%
C 76
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1092
50.6%
0 316
 
14.7%
2 184
 
8.5%
1 85
 
3.9%
3 84
 
3.9%
K 76
 
3.5%
N 76
 
3.5%
O 76
 
3.5%
C 76
 
3.5%
7 24
 
1.1%
Other values (5) 67
 
3.1%

수의계약일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0230625 × 109
Minimum2.02301 × 109
Maximum2.0231202 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T22:31:23.011081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.02301 × 109
5-th percentile2.0230101 × 109
Q12.0230301 × 109
median2.02307 × 109
Q32.0230975 × 109
95-th percentile2.02312 × 109
Maximum2.0231202 × 109
Range110200
Interquartile range (IQR)67482.5

Descriptive statistics

Standard deviation36264.852
Coefficient of variation (CV)1.792572 × 10-5
Kurtosis-1.3418207
Mean2.0230625 × 109
Median Absolute Deviation (MAD)30100
Skewness-0.031957442
Sum3.1155163 × 1011
Variance1.3151395 × 109
MonotonicityStrictly increasing
2024-04-21T22:31:23.268361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2023010010 1
 
0.6%
2023090070 1
 
0.6%
2023080070 1
 
0.6%
2023090010 1
 
0.6%
2023090020 1
 
0.6%
2023090030 1
 
0.6%
2023090040 1
 
0.6%
2023090050 1
 
0.6%
2023090060 1
 
0.6%
2023090080 1
 
0.6%
Other values (144) 144
93.5%
ValueCountFrequency (%)
2023010010 1
0.6%
2023010020 1
0.6%
2023010030 1
0.6%
2023010040 1
0.6%
2023010050 1
0.6%
2023010060 1
0.6%
2023010070 1
0.6%
2023010080 1
0.6%
2023010090 1
0.6%
2023010100 1
0.6%
ValueCountFrequency (%)
2023120210 1
0.6%
2023120140 1
0.6%
2023120130 1
0.6%
2023120090 1
0.6%
2023120070 1
0.6%
2023120060 1
0.6%
2023120050 1
0.6%
2023120040 1
0.6%
2023120030 1
0.6%
2023120020 1
0.6%

계약번호
Real number (ℝ)

HIGH CORRELATION 

Distinct151
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1000694 × 109
Minimum4.1000679 × 109
Maximum4.1000711 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T22:31:23.517705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1000679 × 109
5-th percentile4.1000681 × 109
Q14.1000685 × 109
median4.1000695 × 109
Q34.1000702 × 109
95-th percentile4.100071 × 109
Maximum4.1000711 × 109
Range3255
Interquartile range (IQR)1720.75

Descriptive statistics

Standard deviation937.86973
Coefficient of variation (CV)2.2874484 × 10-7
Kurtosis-1.178129
Mean4.1000694 × 109
Median Absolute Deviation (MAD)790.5
Skewness0.063555668
Sum6.3141069 × 1011
Variance879599.62
MonotonicityNot monotonic
2024-04-21T22:31:23.773748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4100068366 3
 
1.9%
4100070286 2
 
1.3%
4100070088 1
 
0.6%
4100069992 1
 
0.6%
4100070022 1
 
0.6%
4100070037 1
 
0.6%
4100070032 1
 
0.6%
4100070044 1
 
0.6%
4100070067 1
 
0.6%
4100070100 1
 
0.6%
Other values (141) 141
91.6%
ValueCountFrequency (%)
4100067887 1
0.6%
4100067965 1
0.6%
4100067974 1
0.6%
4100067975 1
0.6%
4100068011 1
0.6%
4100068053 1
0.6%
4100068056 1
0.6%
4100068064 1
0.6%
4100068065 1
0.6%
4100068086 1
0.6%
ValueCountFrequency (%)
4100071142 1
0.6%
4100071127 1
0.6%
4100071104 1
0.6%
4100071071 1
0.6%
4100071032 1
0.6%
4100071025 1
0.6%
4100071024 1
0.6%
4100070998 1
0.6%
4100070930 1
0.6%
4100070876 1
0.6%

계약명
Text

Distinct150
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T22:31:24.776211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length24.363636
Min length11

Characters and Unicode

Total characters3752
Distinct characters342
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)95.5%

Sample

1st row2023년도 GPFS 시스템 유지관리
2nd row2023년 도서정보시스템 소프트웨어 유지관리 계약체결 품의
3rd row2023년도 SAP DB 개인정보 암호화 솔루션 유지관리
4th row행정동 변압기 교체공사
5th row2023년 DB접근제어 솔루션 유지관리 용역
ValueCountFrequency (%)
용역 42
 
5.4%
2023년도 32
 
4.1%
및 25
 
3.2%
구매 25
 
3.2%
2023년 20
 
2.6%
유지관리 19
 
2.4%
용인지사 14
 
1.8%
구매(설치포함 10
 
1.3%
설치공사 9
 
1.2%
서산지사 8
 
1.0%
Other values (428) 574
73.8%
2024-04-21T22:31:26.032862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
624
 
16.6%
2 126
 
3.4%
지 106
 
2.8%
사 103
 
2.7%
용 87
 
2.3%
역 74
 
2.0%
0 68
 
1.8%
3 61
 
1.6%
유 60
 
1.6%
설 57
 
1.5%
Other values (332) 2386
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2365
63.0%
Space Separator 624
 
16.6%
Uppercase Letter 372
 
9.9%
Decimal Number 284
 
7.6%
Open Punctuation 43
 
1.1%
Close Punctuation 43
 
1.1%
Dash Punctuation 8
 
0.2%
Other Punctuation 7
 
0.2%
Lowercase Letter 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 106
 
4.5%
사 103
 
4.4%
용 87
 
3.7%
역 74
 
3.1%
유 60
 
2.5%
설 57
 
2.4%
년 55
 
2.3%
구 45
 
1.9%
관 44
 
1.9%
공 43
 
1.8%
Other values (282) 1691
71.5%
Uppercase Letter
ValueCountFrequency (%)
E 37
 
9.9%
S 34
 
9.1%
I 32
 
8.6%
A 26
 
7.0%
P 26
 
7.0%
T 22
 
5.9%
C 21
 
5.6%
R 20
 
5.4%
L 20
 
5.4%
V 18
 
4.8%
Other values (14) 116
31.2%
Decimal Number
ValueCountFrequency (%)
2 126
44.4%
0 68
23.9%
3 61
21.5%
1 10
 
3.5%
6 8
 
2.8%
4 4
 
1.4%
5 3
 
1.1%
7 2
 
0.7%
8 1
 
0.4%
9 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 3
42.9%
& 1
 
14.3%
; 1
 
14.3%
: 1
 
14.3%
# 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
m 1
33.3%
a 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 42
97.7%
[ 1
 
2.3%
Close Punctuation
ValueCountFrequency (%)
) 42
97.7%
] 1
 
2.3%
Space Separator
ValueCountFrequency (%)
624
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
˝ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2365
63.0%
Common 1012
27.0%
Latin 375
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 106
 
4.5%
사 103
 
4.4%
용 87
 
3.7%
역 74
 
3.1%
유 60
 
2.5%
설 57
 
2.4%
년 55
 
2.3%
구 45
 
1.9%
관 44
 
1.9%
공 43
 
1.8%
Other values (282) 1691
71.5%
Latin
ValueCountFrequency (%)
E 37
 
9.9%
S 34
 
9.1%
I 32
 
8.5%
A 26
 
6.9%
P 26
 
6.9%
T 22
 
5.9%
C 21
 
5.6%
R 20
 
5.3%
L 20
 
5.3%
V 18
 
4.8%
Other values (17) 119
31.7%
Common
ValueCountFrequency (%)
624
61.7%
2 126
 
12.5%
0 68
 
6.7%
3 61
 
6.0%
( 42
 
4.2%
) 42
 
4.2%
1 10
 
1.0%
- 8
 
0.8%
6 8
 
0.8%
4 4
 
0.4%
Other values (13) 19
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2365
63.0%
ASCII 1386
36.9%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
624
45.0%
2 126
 
9.1%
0 68
 
4.9%
3 61
 
4.4%
( 42
 
3.0%
) 42
 
3.0%
E 37
 
2.7%
S 34
 
2.5%
I 32
 
2.3%
A 26
 
1.9%
Other values (39) 294
21.2%
Hangul
ValueCountFrequency (%)
지 106
 
4.5%
사 103
 
4.4%
용 87
 
3.7%
역 74
 
3.1%
유 60
 
2.5%
설 57
 
2.4%
년 55
 
2.3%
구 45
 
1.9%
관 44
 
1.9%
공 43
 
1.8%
Other values (282) 1691
71.5%
Modifier Letters
ValueCountFrequency (%)
˝ 1
100.0%

계약기간
Text

Distinct122
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-04-21T22:31:26.799792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters3542
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)73.4%

Sample

1st row2023-01-01 ~ 2023-12-31
2nd row2023-01-01 ~ 2023-12-31
3rd row2023-01-01 ~ 2023-12-31
4th row2023-01-05 ~ 2023-01-25
5th row2023-01-01 ~ 2023-12-31
ValueCountFrequency (%)
154
33.3%
2023-12-31 35
 
7.6%
2023-01-01 20
 
4.3%
2023-12-29 6
 
1.3%
2023-10-10 5
 
1.1%
2023-05-31 5
 
1.1%
2023-03-01 5
 
1.1%
2023-06-30 4
 
0.9%
2023-10-12 4
 
0.9%
2023-11-10 4
 
0.9%
Other values (147) 220
47.6%
2024-04-21T22:31:27.768967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 781
22.0%
0 642
18.1%
- 616
17.4%
3 382
10.8%
1 381
10.8%
308
 
8.7%
~ 154
 
4.3%
4 66
 
1.9%
5 48
 
1.4%
7 46
 
1.3%
Other values (3) 118
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2464
69.6%
Dash Punctuation 616
 
17.4%
Space Separator 308
 
8.7%
Math Symbol 154
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 781
31.7%
0 642
26.1%
3 382
15.5%
1 381
15.5%
4 66
 
2.7%
5 48
 
1.9%
7 46
 
1.9%
8 41
 
1.7%
6 40
 
1.6%
9 37
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 616
100.0%
Space Separator
ValueCountFrequency (%)
308
100.0%
Math Symbol
ValueCountFrequency (%)
~ 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3542
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 781
22.0%
0 642
18.1%
- 616
17.4%
3 382
10.8%
1 381
10.8%
308
 
8.7%
~ 154
 
4.3%
4 66
 
1.9%
5 48
 
1.4%
7 46
 
1.3%
Other values (3) 118
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3542
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 781
22.0%
0 642
18.1%
- 616
17.4%
3 382
10.8%
1 381
10.8%
308
 
8.7%
~ 154
 
4.3%
4 66
 
1.9%
5 48
 
1.4%
7 46
 
1.3%
Other values (3) 118
 
3.3%

계약금액
Real number (ℝ)

Distinct132
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5292774 × 108
Minimum2208360
Maximum3.101329 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-04-21T22:31:28.015881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2208360
5-th percentile6622797.5
Q110543500
median15092000
Q380375000
95-th percentile9.2349435 × 108
Maximum3.101329 × 109
Range3.0991206 × 109
Interquartile range (IQR)69831500

Descriptive statistics

Standard deviation4.0858691 × 108
Coefficient of variation (CV)2.6717644
Kurtosis29.2832
Mean1.5292774 × 108
Median Absolute Deviation (MAD)7679500
Skewness4.959599
Sum2.3550873 × 1010
Variance1.6694326 × 1017
MonotonicityNot monotonic
2024-04-21T22:31:28.266026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10890000 13
 
8.4%
29469000 3
 
1.9%
10450000 3
 
1.9%
10780000 3
 
1.9%
10835000 2
 
1.3%
10560000 2
 
1.3%
10967000 2
 
1.3%
1120000000 2
 
1.3%
168181797 1
 
0.6%
55489500 1
 
0.6%
Other values (122) 122
79.2%
ValueCountFrequency (%)
2208360 1
0.6%
4191000 1
0.6%
4405280 1
0.6%
5632000 1
0.6%
5668000 1
0.6%
5904000 1
0.6%
6160000 1
0.6%
6174850 1
0.6%
6864000 1
0.6%
6952000 1
0.6%
ValueCountFrequency (%)
3101329000 1
0.6%
2815304800 1
0.6%
1380000000 1
0.6%
1175000000 1
0.6%
1120000000 2
1.3%
1053000000 1
0.6%
1000000000 1
0.6%
882299000 1
0.6%
697059000 1
0.6%
653375000 1
0.6%

수의계약사유
Categorical

Distinct17
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
82 
제조공급자가 설치 조립시
24 
기재부장관 고시기간 내 입찰자가 1인뿐일 경우 재공고 없이 수의계약
13 
재공고입찰등과 수의계약
 
7
성과공유제 확산
 
7
Other values (12)
21 

Length

Max length301
Median length56
Mean length41.233766
Min length7

Unique

Unique8 ?
Unique (%)5.2%

Sample

1st row제조공급자가 설치 조립시
2nd row제조공급자가 설치 조립시
3rd row제조공급자가 설치 조립시
4th row추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
5th row제조공급자가 설치 조립시

Common Values

ValueCountFrequency (%)
추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약 82
53.2%
제조공급자가 설치 조립시 24
 
15.6%
기재부장관 고시기간 내 입찰자가 1인뿐일 경우 재공고 없이 수의계약 13
 
8.4%
재공고입찰등과 수의계약 7
 
4.5%
성과공유제 확산 7
 
4.5%
특정인,조사,(설계)용역계약 5
 
3.2%
혁신제품 구매 4
 
2.6%
부품공급 및 설비확충 시 호환성 2
 
1.3%
NEP인증제품 2
 
1.3%
생산자가 1인인 경우 1
 
0.6%
Other values (7) 7
 
4.5%

Length

2024-04-21T22:31:28.518451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
추정가격이 84
 
6.1%
계약 84
 
6.1%
2억원 82
 
5.9%
전문공사 82
 
5.9%
1억원 82
 
5.9%
기타공사 82
 
5.9%
8천만원 82
 
5.9%
물품·용역 82
 
5.9%
등 82
 
5.9%
5천만원 82
 
5.9%
Other values (107) 556
40.3%

Interactions

2024-04-21T22:31:19.679664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:31:18.150029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:31:18.908210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:31:19.930128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:31:18.396076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:31:19.164992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:31:20.190035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:31:18.653929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:31:19.419383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T22:31:28.663869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참조입찰번호수의계약일련번호계약번호계약금액수의계약사유
참조입찰번호1.0000.7250.0000.9550.921
수의계약일련번호0.7251.0000.9840.2670.594
계약번호0.0000.9841.0000.1170.617
계약금액0.9550.2670.1171.0000.679
수의계약사유0.9210.5940.6170.6791.000
2024-04-21T22:31:28.829933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수의계약일련번호계약번호계약금액수의계약사유
수의계약일련번호1.0000.978-0.1790.274
계약번호0.9781.000-0.1790.290
계약금액-0.179-0.1791.0000.387
수의계약사유0.2740.2900.3871.000

Missing values

2024-04-21T22:31:20.535629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T22:31:20.920037image/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

참조입찰번호수의계약일련번호계약번호계약명계약기간계약금액수의계약사유
0KNOC2023010010202301001041000680532023년도 GPFS 시스템 유지관리2023-01-01 ~ 2023-12-3115790000제조공급자가 설치 조립시
1KNOC2022120280202301002041000680112023년 도서정보시스템 소프트웨어 유지관리 계약체결 품의2023-01-01 ~ 2023-12-3113002000제조공급자가 설치 조립시
2KNOC2023010051202301003041000680562023년도 SAP DB 개인정보 암호화 솔루션 유지관리2023-01-01 ~ 2023-12-3115664000제조공급자가 설치 조립시
320230100404100068091행정동 변압기 교체공사2023-01-05 ~ 2023-01-2510949510추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
4202301005041000680882023년 DB접근제어 솔루션 유지관리 용역2023-01-01 ~ 2023-12-312208360제조공급자가 설치 조립시
5KNOC2023010060202301006041000680862023년 TLG 모니터링 시스템 유지관리 용역2023-01-01 ~ 2023-12-3125697760제조공급자가 설치 조립시
6KNOC2023010020202301007041000680652023년도 통합커뮤니케이션(UC) 유지관리2023-01-01 ~ 2023-12-3126400000제조공급자가 설치 조립시
7KNOC2023010040202301008041000680642023년도 협업시스템(COP) 유지관리2023-01-01 ~ 2023-12-3116500000제조공급자가 설치 조립시
8202301009041000679652023년도 법률규정시스템 유지관리2023-01-01 ~ 2023-12-317592200제조공급자가 설치 조립시
9202301010041000679752023년도 기록관리시스템 유지관리2023-01-01 ~ 2023-12-314405280제조공급자가 설치 조립시
참조입찰번호수의계약일련번호계약번호계약명계약기간계약금액수의계약사유
14420231200204100070876오피넷 CMS서버 교체를 위한 물품 구매2023-12-04 ~ 2023-12-319920000추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
14520231200304100070930펌뱅킹 서버 교체를 위한 물품 구매2023-12-06 ~ 2023-12-3110760200추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
14620231200404100070998원유LINE 주요밸브 기어박스 정비공사2023-12-12 ~ 2023-12-2810780000추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
14720231200504100071024행정동 체력단련실 바닥 마루 교체공사2023-12-14 ~ 2024-01-0710832800추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
14820231200604100071025행정동 지하 기계실 바닥 우레탄 코팅작업2023-12-14 ~ 2024-01-0210890000추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
14920231200704100071032용인지사 방화복세트 구매2023-12-15 ~ 2023-12-317843000추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
15020231200904100071071용인지사 안전보건표지판(탱크지역 추락주의 등) 제작 구매2023-12-18 ~ 2023-12-296160000추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
15120231201304100071104용인지사 휘발유탱크 불연성가스(N2) 공급설비 HMI 구성작업2023-12-21 ~ 2024-01-158756000추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
15220231201404100071127대회의실 바닥교체 공사2023-12-21 ~ 2024-01-106174850추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약
153KNOC202312018220231202104100071142원유탱크 도장공사 폐기물(PS BALL) 처리 용역2023-12-27 ~ 2024-01-1529798010추정가격이 건설공사 2억원, 전문공사 1억원, 기타공사 8천만원, 물품·용역 등 5천만원 이하의 계약