Overview

Dataset statistics

Number of variables8
Number of observations182
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.2 KiB
Average record size in memory68.7 B

Variable types

Text3
Numeric4
Categorical1

Dataset

Description2020년 한국석유공사에서 체결한 수의계약 정보로, 참조입찰번호, 수의계약 일련번호, 계약금액, 계약번호, 계약기간, 계약명, 수의계약사유, 예정가격 등을 확인할 수 있음
Author한국석유공사
URLhttps://www.data.go.kr/data/15072512/fileData.do

Alerts

계약금액 is highly overall correlated with 예정가격 and 1 other fieldsHigh correlation
참조계약번호 is highly overall correlated with 수의계약일련번호High correlation
수의계약일련번호 is highly overall correlated with 참조계약번호High correlation
예정가격 is highly overall correlated with 계약금액 and 1 other fieldsHigh correlation
수의계약사유 is highly overall correlated with 계약금액 and 1 other fieldsHigh correlation
수의계약일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:27:38.814294
Analysis finished2023-12-12 22:27:40.600898
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

참조일찰번호
Text

Distinct126
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T07:27:40.743273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters2548
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

Unique123 ?
Unique (%)67.6%

Sample

1st rowKNOC2020030010
2nd rowKNOC2020040350
3rd rowKNOC2020060340
4th rowKNOC2020070092
5th rowKNOC2020090160
ValueCountFrequency (%)
knoc2020060233 2
 
1.6%
knoc2020060240 2
 
1.6%
knoc2020020291 1
 
0.8%
knoc2020060221 1
 
0.8%
knoc2020050180 1
 
0.8%
knoc2020050080 1
 
0.8%
knoc2020040100 1
 
0.8%
knoc2020040030 1
 
0.8%
knoc2020030310 1
 
0.8%
knoc2020030190 1
 
0.8%
Other values (115) 115
90.6%
2023-12-13T07:27:41.049293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
770
30.2%
0 625
24.5%
2 328
12.9%
K 127
 
5.0%
N 127
 
5.0%
O 127
 
5.0%
C 127
 
5.0%
1 118
 
4.6%
3 38
 
1.5%
4 34
 
1.3%
Other values (5) 127
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1270
49.8%
Space Separator 770
30.2%
Uppercase Letter 508
 
19.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 625
49.2%
2 328
25.8%
1 118
 
9.3%
3 38
 
3.0%
4 34
 
2.7%
9 27
 
2.1%
8 27
 
2.1%
6 26
 
2.0%
5 24
 
1.9%
7 23
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
K 127
25.0%
N 127
25.0%
O 127
25.0%
C 127
25.0%
Space Separator
ValueCountFrequency (%)
770
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2040
80.1%
Latin 508
 
19.9%

Most frequent character per script

Common
ValueCountFrequency (%)
770
37.7%
0 625
30.6%
2 328
16.1%
1 118
 
5.8%
3 38
 
1.9%
4 34
 
1.7%
9 27
 
1.3%
8 27
 
1.3%
6 26
 
1.3%
5 24
 
1.2%
Latin
ValueCountFrequency (%)
K 127
25.0%
N 127
25.0%
O 127
25.0%
C 127
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2548
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
770
30.2%
0 625
24.5%
2 328
12.9%
K 127
 
5.0%
N 127
 
5.0%
O 127
 
5.0%
C 127
 
5.0%
1 118
 
4.6%
3 38
 
1.5%
4 34
 
1.3%
Other values (5) 127
 
5.0%

계약금액
Real number (ℝ)

HIGH CORRELATION 

Distinct158
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91190674
Minimum66000
Maximum5.0076268 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T07:27:41.181322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66000
5-th percentile5933730
Q18863750
median10450000
Q332752500
95-th percentile2.301998 × 108
Maximum5.0076268 × 109
Range5.0075608 × 109
Interquartile range (IQR)23888750

Descriptive statistics

Standard deviation4.2449898 × 108
Coefficient of variation (CV)4.6550701
Kurtosis102.50403
Mean91190674
Median Absolute Deviation (MAD)3664100
Skewness9.4400186
Sum1.6596703 × 1010
Variance1.8019938 × 1017
MonotonicityNot monotonic
2023-12-13T07:27:41.290042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9900000 8
 
4.4%
10450000 4
 
2.2%
10500000 3
 
1.6%
10340000 3
 
1.6%
10230000 3
 
1.6%
6600000 2
 
1.1%
50446176 2
 
1.1%
8008000 2
 
1.1%
10967000 2
 
1.1%
8800000 2
 
1.1%
Other values (148) 151
83.0%
ValueCountFrequency (%)
66000 1
0.5%
1221000 1
0.5%
2208360 1
0.5%
3025000 1
0.5%
3297800 1
0.5%
3300000 1
0.5%
4363700 1
0.5%
5170000 1
0.5%
5868500 1
0.5%
5933400 1
0.5%
ValueCountFrequency (%)
5007626824 1
0.5%
1854229000 1
0.5%
1430000000 1
0.5%
1377645000 1
0.5%
763565000 1
0.5%
592713000 1
0.5%
379000000 1
0.5%
348931000 1
0.5%
343000000 1
0.5%
231700000 1
0.5%

참조계약번호
Real number (ℝ)

HIGH CORRELATION 

Distinct179
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1000581 × 109
Minimum4.1000565 × 109
Maximum4.1000598 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T07:27:41.406066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1000565 × 109
5-th percentile4.1000568 × 109
Q14.1000573 × 109
median4.100058 × 109
Q34.1000589 × 109
95-th percentile4.1000597 × 109
Maximum4.1000598 × 109
Range3290
Interquartile range (IQR)1611.5

Descriptive statistics

Standard deviation964.90712
Coefficient of variation (CV)2.3533986 × 10-7
Kurtosis-1.1804293
Mean4.1000581 × 109
Median Absolute Deviation (MAD)750.5
Skewness0.15245361
Sum7.4621058 × 1011
Variance931045.75
MonotonicityNot monotonic
2023-12-13T07:27:41.511159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4100058767 2
 
1.1%
4100057036 2
 
1.1%
4100058611 2
 
1.1%
4100059652 1
 
0.5%
4100057108 1
 
0.5%
4100057229 1
 
0.5%
4100058707 1
 
0.5%
4100057787 1
 
0.5%
4100057829 1
 
0.5%
4100058234 1
 
0.5%
Other values (169) 169
92.9%
ValueCountFrequency (%)
4100056535 1
0.5%
4100056715 1
0.5%
4100056723 1
0.5%
4100056735 1
0.5%
4100056752 1
0.5%
4100056763 1
0.5%
4100056767 1
0.5%
4100056768 1
0.5%
4100056769 1
0.5%
4100056771 1
0.5%
ValueCountFrequency (%)
4100059825 1
0.5%
4100059793 1
0.5%
4100059791 1
0.5%
4100059784 1
0.5%
4100059773 1
0.5%
4100059764 1
0.5%
4100059751 1
0.5%
4100059744 1
0.5%
4100059723 1
0.5%
4100059722 1
0.5%

계약기간
Text

Distinct148
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T07:27:41.703654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters4186
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

Unique137 ?
Unique (%)75.3%

Sample

1st row2020-03-12 ~ 2020-12-31
2nd row2020-04-30 ~ 2020-10-30
3rd row2020-07-02 ~ 2020-08-28
4th row2020-07-27 ~ 2020-09-30
5th row2020-09-28 ~ 2020-11-08
ValueCountFrequency (%)
182
33.3%
2020-12-31 41
 
7.5%
2020-01-01 22
 
4.0%
2020-09-21 8
 
1.5%
2020-09-28 6
 
1.1%
2020-06-29 6
 
1.1%
2020-04-09 5
 
0.9%
2020-06-17 5
 
0.9%
2020-04-01 5
 
0.9%
2020-06-01 4
 
0.7%
Other values (163) 262
48.0%
2023-12-13T07:27:41.991432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1163
27.8%
2 918
21.9%
- 728
17.4%
364
 
8.7%
1 347
 
8.3%
~ 182
 
4.3%
3 120
 
2.9%
6 69
 
1.6%
9 69
 
1.6%
8 65
 
1.6%
Other values (3) 161
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2912
69.6%
Dash Punctuation 728
 
17.4%
Space Separator 364
 
8.7%
Math Symbol 182
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1163
39.9%
2 918
31.5%
1 347
 
11.9%
3 120
 
4.1%
6 69
 
2.4%
9 69
 
2.4%
8 65
 
2.2%
4 63
 
2.2%
7 54
 
1.9%
5 44
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 728
100.0%
Space Separator
ValueCountFrequency (%)
364
100.0%
Math Symbol
ValueCountFrequency (%)
~ 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4186
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1163
27.8%
2 918
21.9%
- 728
17.4%
364
 
8.7%
1 347
 
8.3%
~ 182
 
4.3%
3 120
 
2.9%
6 69
 
1.6%
9 69
 
1.6%
8 65
 
1.6%
Other values (3) 161
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4186
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1163
27.8%
2 918
21.9%
- 728
17.4%
364
 
8.7%
1 347
 
8.3%
~ 182
 
4.3%
3 120
 
2.9%
6 69
 
1.6%
9 69
 
1.6%
8 65
 
1.6%
Other values (3) 161
 
3.8%

계약명
Text

Distinct179
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-13T07:27:42.238094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length24.137363
Min length8

Characters and Unicode

Total characters4393
Distinct characters329
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)96.7%

Sample

1st row2020년 육상 PROCESS BACK-UP용 액체질소 구매
2nd row육상 가스초음파 유량계 FT-2201B 검교정 용역
3rd rowMEG RECLAIMER VACUUM HEATER 구매
4th row[재입찰][재입찰]GCM-A OVERHAUL 관련 압축기(HPC.LPC) 분해작업 용역
5th row해상 CONTROL VALVE OVERHAUL 용역
ValueCountFrequency (%)
용역 44
 
5.1%
구매 33
 
3.8%
2020년도 30
 
3.5%
2020년 26
 
3.0%
및 23
 
2.7%
유지관리 16
 
1.8%
보수공사 13
 
1.5%
설치공사 12
 
1.4%
시스템 8
 
0.9%
관련 7
 
0.8%
Other values (485) 654
75.5%
2023-12-13T07:27:42.610931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
684
 
15.6%
0 140
 
3.2%
2 137
 
3.1%
지 117
 
2.7%
사 108
 
2.5%
용 97
 
2.2%
역 82
 
1.9%
설 62
 
1.4%
공 58
 
1.3%
년 58
 
1.3%
Other values (319) 2850
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2626
59.8%
Space Separator 684
 
15.6%
Uppercase Letter 622
 
14.2%
Decimal Number 328
 
7.5%
Open Punctuation 53
 
1.2%
Close Punctuation 53
 
1.2%
Dash Punctuation 16
 
0.4%
Other Punctuation 7
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 117
 
4.5%
사 108
 
4.1%
용 97
 
3.7%
역 82
 
3.1%
설 62
 
2.4%
공 58
 
2.2%
년 58
 
2.2%
유 55
 
2.1%
구 51
 
1.9%
수 50
 
1.9%
Other values (274) 1888
71.9%
Uppercase Letter
ValueCountFrequency (%)
E 57
 
9.2%
R 48
 
7.7%
T 48
 
7.7%
A 43
 
6.9%
C 43
 
6.9%
O 42
 
6.8%
S 37
 
5.9%
P 33
 
5.3%
I 31
 
5.0%
L 30
 
4.8%
Other values (15) 210
33.8%
Decimal Number
ValueCountFrequency (%)
0 140
42.7%
2 137
41.8%
1 31
 
9.5%
3 6
 
1.8%
9 4
 
1.2%
7 3
 
0.9%
5 3
 
0.9%
8 2
 
0.6%
6 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 3
42.9%
/ 2
28.6%
· 1
 
14.3%
# 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 37
69.8%
[ 16
30.2%
Close Punctuation
ValueCountFrequency (%)
) 37
69.8%
] 16
30.2%
Space Separator
ValueCountFrequency (%)
684
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2626
59.8%
Common 1145
26.1%
Latin 622
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 117
 
4.5%
사 108
 
4.1%
용 97
 
3.7%
역 82
 
3.1%
설 62
 
2.4%
공 58
 
2.2%
년 58
 
2.2%
유 55
 
2.1%
구 51
 
1.9%
수 50
 
1.9%
Other values (274) 1888
71.9%
Latin
ValueCountFrequency (%)
E 57
 
9.2%
R 48
 
7.7%
T 48
 
7.7%
A 43
 
6.9%
C 43
 
6.9%
O 42
 
6.8%
S 37
 
5.9%
P 33
 
5.3%
I 31
 
5.0%
L 30
 
4.8%
Other values (15) 210
33.8%
Common
ValueCountFrequency (%)
684
59.7%
0 140
 
12.2%
2 137
 
12.0%
( 37
 
3.2%
) 37
 
3.2%
1 31
 
2.7%
[ 16
 
1.4%
] 16
 
1.4%
- 16
 
1.4%
3 6
 
0.5%
Other values (10) 25
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2626
59.8%
ASCII 1766
40.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
684
38.7%
0 140
 
7.9%
2 137
 
7.8%
E 57
 
3.2%
R 48
 
2.7%
T 48
 
2.7%
A 43
 
2.4%
C 43
 
2.4%
O 42
 
2.4%
( 37
 
2.1%
Other values (34) 487
27.6%
Hangul
ValueCountFrequency (%)
지 117
 
4.5%
사 108
 
4.1%
용 97
 
3.7%
역 82
 
3.1%
설 62
 
2.4%
공 58
 
2.2%
년 58
 
2.2%
유 55
 
2.1%
구 51
 
1.9%
수 50
 
1.9%
Other values (274) 1888
71.9%
None
ValueCountFrequency (%)
· 1
100.0%

수의계약일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0200474 × 109
Minimum2.02001 × 109
Maximum2.0200902 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T07:27:42.724902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.02001 × 109
5-th percentile2.0200101 × 109
Q12.0200202 × 109
median2.0200451 × 109
Q32.02007 × 109
95-th percentile2.0200901 × 109
Maximum2.0200902 × 109
Range80230
Interquartile range (IQR)49895

Descriptive statistics

Standard deviation27180.369
Coefficient of variation (CV)1.3455313 × 10-5
Kurtosis-1.2453885
Mean2.0200474 × 109
Median Absolute Deviation (MAD)24950
Skewness0.12793357
Sum3.6764862 × 1011
Variance7.3877248 × 108
MonotonicityNot monotonic
2023-12-13T07:27:42.839561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2020030030 1
 
0.5%
2020020210 1
 
0.5%
2020030110 1
 
0.5%
2020040040 1
 
0.5%
2020090070 1
 
0.5%
2020090080 1
 
0.5%
2020020160 1
 
0.5%
2020020170 1
 
0.5%
2020060270 1
 
0.5%
2020040060 1
 
0.5%
Other values (172) 172
94.5%
ValueCountFrequency (%)
2020010010 1
0.5%
2020010020 1
0.5%
2020010030 1
0.5%
2020010040 1
0.5%
2020010050 1
0.5%
2020010060 1
0.5%
2020010070 1
0.5%
2020010080 1
0.5%
2020010090 1
0.5%
2020010100 1
0.5%
ValueCountFrequency (%)
2020090240 1
0.5%
2020090230 1
0.5%
2020090220 1
0.5%
2020090210 1
0.5%
2020090200 1
0.5%
2020090190 1
0.5%
2020090180 1
0.5%
2020090170 1
0.5%
2020090160 1
0.5%
2020090150 1
0.5%

수의계약사유
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약
106 
제조공급자가 설치 조립시
27 
부품공급 및 설비확충 시 호환성
 
8
재공고입찰등과 수의계약
 
8
성과공유제 확산
 
6
Other values (15)
27 

Length

Max length63
Median length56
Mean length38.851648
Min length6

Unique

Unique9 ?
Unique (%)4.9%

Sample

1st row물품의 가공·하역·운송·보관으로 경쟁이 불리할 경우
2nd row제조공급자가 설치 조립시
3rd row부품공급 및 설비확충 시 호환성
4th row특수지역공사로경쟁불가
5th row제조공급자가 설치 조립시

Common Values

ValueCountFrequency (%)
추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약 106
58.2%
제조공급자가 설치 조립시 27
 
14.8%
부품공급 및 설비확충 시 호환성 8
 
4.4%
재공고입찰등과 수의계약 8
 
4.4%
성과공유제 확산 6
 
3.3%
NEP인증제품 5
 
2.7%
특정인 조사 (설계)용역계약 4
 
2.2%
생산자가 1인인 경우 3
 
1.6%
특허 실용신안 디자인등록 제품 2
 
1.1%
타법령에의한 위탁 대행자와 계약 2
 
1.1%
Other values (10) 11
 
6.0%

Length

2023-12-13T07:27:43.198387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
계약 110
 
7.2%
등 107
 
7.0%
추정가격이 106
 
6.9%
물품·용역 106
 
6.9%
건설공사 106
 
6.9%
이하의 106
 
6.9%
5천만원 106
 
6.9%
8천만원 106
 
6.9%
기타공사 106
 
6.9%
1억원 106
 
6.9%
Other values (76) 464
30.3%

예정가격
Real number (ℝ)

HIGH CORRELATION 

Distinct151
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91401988
Minimum66000
Maximum5.31255 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T07:27:43.304281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66000
5-th percentile5940500
Q19000000
median10500000
Q334900000
95-th percentile3.389105 × 108
Maximum5.31255 × 109
Range5.312484 × 109
Interquartile range (IQR)25900000

Descriptive statistics

Standard deviation4.3159653 × 108
Coefficient of variation (CV)4.7219599
Kurtosis120.55412
Mean91401988
Median Absolute Deviation (MAD)3725000
Skewness10.317936
Sum1.6635162 × 1010
Variance1.8627556 × 1017
MonotonicityNot monotonic
2023-12-13T07:27:43.411617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10300000 5
 
2.7%
10500000 5
 
2.7%
9000000 4
 
2.2%
9900000 4
 
2.2%
10000000 3
 
1.6%
10600000 3
 
1.6%
10200000 3
 
1.6%
10340000 3
 
1.6%
8800000 2
 
1.1%
9500000 2
 
1.1%
Other values (141) 148
81.3%
ValueCountFrequency (%)
66000 1
0.5%
1221000 1
0.5%
2208360 1
0.5%
3025000 1
0.5%
3297800 1
0.5%
3300000 1
0.5%
4363700 1
0.5%
4700000 1
0.5%
5500000 1
0.5%
5940000 1
0.5%
ValueCountFrequency (%)
5312550000 1
0.5%
1496794033 1
0.5%
1435600000 1
0.5%
907236000 1
0.5%
638000000 1
0.5%
628740000 1
0.5%
538745357 1
0.5%
414546000 1
0.5%
379550000 1
0.5%
344550000 1
0.5%

Interactions

2023-12-13T07:27:40.158642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.198310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.548119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.843615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:40.222409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.293287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.618871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.919660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:40.304109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.397900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.691854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:40.004941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:40.379214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.482701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:39.772670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:27:40.083537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:27:43.482830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약금액참조계약번호수의계약일련번호수의계약사유예정가격
계약금액1.0000.1820.0000.9300.937
참조계약번호0.1821.0000.9780.5330.051
수의계약일련번호0.0000.9781.0000.6250.000
수의계약사유0.9300.5330.6251.0000.966
예정가격0.9370.0510.0000.9661.000
2023-12-13T07:27:43.561341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계약금액참조계약번호수의계약일련번호예정가격수의계약사유
계약금액1.0000.0220.0320.9680.651
참조계약번호0.0221.0000.9970.0250.194
수의계약일련번호0.0320.9971.0000.0340.276
예정가격0.9680.0250.0341.0000.744
수의계약사유0.6510.1940.2760.7441.000

Missing values

2023-12-13T07:27:40.464191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:27:40.560813image/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

참조일찰번호계약금액참조계약번호계약기간계약명수의계약일련번호수의계약사유예정가격
0KNOC20200300102050840041000575162020-03-12 ~ 2020-12-312020년 육상 PROCESS BACK-UP용 액체질소 구매2020030030물품의 가공·하역·운송·보관으로 경쟁이 불리할 경우20980000
1KNOC20200403503278000041000580482020-04-30 ~ 2020-10-30육상 가스초음파 유량계 FT-2201B 검교정 용역2020040250제조공급자가 설치 조립시34900000
2KNOC20200603403450000041000587692020-07-02 ~ 2020-08-28MEG RECLAIMER VACUUM HEATER 구매2020070010부품공급 및 설비확충 시 호환성38200000
3KNOC20200700924158000041000590832020-07-27 ~ 2020-09-30[재입찰][재입찰]GCM-A OVERHAUL 관련 압축기(HPC.LPC) 분해작업 용역2020070110특수지역공사로경쟁불가41700000
4KNOC20200901602123330041000597442020-09-28 ~ 2020-11-08해상 CONTROL VALVE OVERHAUL 용역2020090170제조공급자가 설치 조립시21500000
5KNOC20200902214800000041000597842020-09-28 ~ 2020-11-26[재입찰]해상플랫폼 보트랜딩지역 핸드레일 및 GRATING 보수공사2020090190천재지변등 경쟁이 불가능할때48690000
6KNOC2020040090682000041000578262020-04-09 ~ 2020-04-23저장품창고 리모델링 공사2020040100추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약6900000
7KNOC2020040200640200041000579382020-04-17 ~ 2020-05-16거제 여과실 내진보강공사 건축설계 용역2020040160추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약6500000
8KNOC2020040330968000041000580212020-04-27 ~ 2020-05-111차 자가처리설비 악취포집배관(FRP)교체공사2020040210추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약9900000
9KNOC2020020160990000041000572982020-02-18 ~ 2020-03-082020년 소방시설 종합정밀점검 계약체결2020020120추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약10200000
참조일찰번호계약금액참조계약번호계약기간계약명수의계약일련번호수의계약사유예정가격
172KNOC202008004119600000041000592612020-08-13 ~ 2020-11-122020년 MTN 프로그램 업데이트 관련 회계용역(2019~2020)2020080070특정인 조사 (설계)용역계약196750000
1736600041000584152020-06-01 ~ 2020-06-08알뜰주유소 역대 최대 월 공급물량 달성 배너제작2020060120추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약66000
1742792100041000583122020-05-22 ~ 2020-06-12코로나19 극복을 위한 울산지역 사회적기업 지원2020060020추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약27921000
1754180000041000583092020-06-01 ~ 2021-05-31알뜰주유소 석유품질인증프로그램 협약지원 용역계약 체결2020050130타법령에의한 위탁 대행자와 계약41800000
1761000000041000577052020-03-27 ~ 2020-04-03알뜰주유소 홍보물(손세정제) 구입2020030140추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약10000000
177122100041000577182020-03-30 ~ 2020-04-14알뜰주유소 통계BOOK 책자 발간2020040010추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약1221000
178990000041000573142020-02-19 ~ 2020-04-08알뜰브랜드 인지도 조사 및 홍보전략 수립 용역2020020130추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약9900000
179KNOC20200402812854335041000580142020-04-27 ~ 2020-05-262020년 비축지사 하계작업복 구매2020050010추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약30989200
1801093400041000597032020-09-21 ~ 2020-10-20지진가속도 계측시스템 통합서버 구매2020090100추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약9940000
181KNOC20200902102648800041000598252020-09-29 ~ 2020-11-132020년 비축지사 방한용 작업복 구매2020090240추정가격이 건설공사 2억원 전문공사 1억원 기타공사 8천만원 물품·용역 등 5천만원 이하의 계약27000000