Overview

Dataset statistics

Number of variables11
Number of observations89
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory91.5 B

Variable types

Categorical6
Numeric2
DateTime1
Text2

Dataset

Description신용보증기금의 입찰정보입니다. 신용보증기금의 연도별 입찰정보(입찰공고번호,공고게시일자,공고명,수요기관명,입찰방식,낙찰자결정방법,입찰계약방법, 추정가격)를 확인할 수 있습니다
URLhttps://www.data.go.kr/data/15044166/fileData.do

Alerts

수요기관명 has constant value ""Constant
낙찰자결정방법 is highly overall correlated with 업무구분 and 2 other fieldsHigh correlation
업무구분 is highly overall correlated with 입찰방식 and 2 other fieldsHigh correlation
입찰방식 is highly overall correlated with 업무구분 and 2 other fieldsHigh correlation
입찰계약방법 is highly overall correlated with 업무구분 and 2 other fieldsHigh correlation
입찰공고번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:35:22.813897
Analysis finished2023-12-11 23:35:24.493740
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업무구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
용역
65 
공사
15 
물품
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공사
2nd row용역
3rd row용역
4th row용역
5th row용역

Common Values

ValueCountFrequency (%)
용역 65
73.0%
공사 15
 
16.9%
물품 9
 
10.1%

Length

2023-12-12T08:35:24.559012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:24.701623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용역 65
73.0%
공사 15
 
16.9%
물품 9
 
10.1%

공고상태
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
긴급
57 
일반
18 
취소
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row긴급
2nd row긴급
3rd row취소
4th row취소
5th row긴급

Common Values

ValueCountFrequency (%)
긴급 57
64.0%
일반 18
 
20.2%
취소 14
 
15.7%

Length

2023-12-12T08:35:24.858818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:24.984288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
긴급 57
64.0%
일반 18
 
20.2%
취소 14
 
15.7%

입찰공고번호
Real number (ℝ)

UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0220616 × 1010
Minimum2.0220112 × 1010
Maximum2.0221247 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-12T08:35:25.110270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0220112 × 1010
5-th percentile2.0220123 × 1010
Q12.0220402 × 1010
median2.0220603 × 1010
Q32.02209 × 1010
95-th percentile2.0221129 × 1010
Maximum2.0221247 × 1010
Range1135250
Interquartile range (IQR)497845

Descriptive statistics

Standard deviation302415.73
Coefficient of variation (CV)1.4955812 × 10-5
Kurtosis-0.86603567
Mean2.0220616 × 1010
Median Absolute Deviation (MAD)228935
Skewness0.18570135
Sum1.7996348 × 1012
Variance9.1455272 × 1010
MonotonicityNot monotonic
2023-12-12T08:35:25.284150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20221246817 1
 
1.1%
20220400112 1
 
1.1%
20220414447 1
 
1.1%
20220414879 1
 
1.1%
20220415013 1
 
1.1%
20220426759 1
 
1.1%
20220438833 1
 
1.1%
20220439011 1
 
1.1%
20220439309 1
 
1.1%
20220439489 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
20220111567 1
1.1%
20220117015 1
1.1%
20220121065 1
1.1%
20220121188 1
1.1%
20220121215 1
1.1%
20220125555 1
1.1%
20220128635 1
1.1%
20220202350 1
1.1%
20220210972 1
1.1%
20220212347 1
1.1%
ValueCountFrequency (%)
20221246817 1
1.1%
20221229740 1
1.1%
20221200364 1
1.1%
20221134422 1
1.1%
20221134396 1
1.1%
20221122144 1
1.1%
20221121977 1
1.1%
20221028830 1
1.1%
20221026661 1
1.1%
20221018656 1
1.1%

공고게시일자
Date

Distinct64
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size844.0 B
Minimum2022-01-13 00:00:00
Maximum2022-12-30 00:00:00
2023-12-12T08:35:25.422277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:35:25.555170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공고명
Text

Distinct73
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-12T08:35:25.880305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length35
Mean length27.595506
Min length10

Characters and Unicode

Total characters2456
Distinct characters242
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

Unique59 ?
Unique (%)66.3%

Sample

1st row신용보증기금 대구혁신지점 이전 사무실 인테리어 공사(긴급)
2nd row신용보증기금 업무시스템 유지관리
3rd row신용보증기금 업무시스템 유지관리
4th row신용보증기금 업무시스템 유지관리
5th rowPC, 프린터 등 사무용 전산기기 유지관리
ValueCountFrequency (%)
신용보증기금 48
 
9.5%
및 13
 
2.6%
위한 13
 
2.6%
용역 12
 
2.4%
선정 11
 
2.2%
업체 10
 
2.0%
연구용역 10
 
2.0%
선정(긴급 9
 
1.8%
인테리어 8
 
1.6%
공사(긴급 8
 
1.6%
Other values (212) 365
72.0%
2023-12-12T08:35:26.394390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
418
 
17.0%
용 100
 
4.1%
보 78
 
3.2%
( 59
 
2.4%
) 59
 
2.4%
증 58
 
2.4%
기 58
 
2.4%
신 56
 
2.3%
금 49
 
2.0%
사 47
 
1.9%
Other values (232) 1474
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1724
70.2%
Space Separator 418
 
17.0%
Uppercase Letter 106
 
4.3%
Decimal Number 62
 
2.5%
Open Punctuation 61
 
2.5%
Close Punctuation 61
 
2.5%
Lowercase Letter 14
 
0.6%
Other Punctuation 7
 
0.3%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 100
 
5.8%
보 78
 
4.5%
증 58
 
3.4%
기 58
 
3.4%
신 56
 
3.2%
금 49
 
2.8%
사 47
 
2.7%
급 47
 
2.7%
긴 44
 
2.6%
역 38
 
2.2%
Other values (194) 1149
66.6%
Uppercase Letter
ValueCountFrequency (%)
S 15
14.2%
P 13
12.3%
C 11
10.4%
T 10
9.4%
N 9
8.5%
E 8
7.5%
D 7
 
6.6%
G 5
 
4.7%
I 5
 
4.7%
O 5
 
4.7%
Other values (7) 18
17.0%
Lowercase Letter
ValueCountFrequency (%)
t 2
14.3%
p 2
14.3%
a 2
14.3%
e 2
14.3%
r 2
14.3%
s 2
14.3%
u 1
7.1%
l 1
7.1%
Decimal Number
ValueCountFrequency (%)
2 45
72.6%
0 14
 
22.6%
9 1
 
1.6%
5 1
 
1.6%
3 1
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 59
96.7%
「 2
 
3.3%
Close Punctuation
ValueCountFrequency (%)
) 59
96.7%
」 2
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
· 1
 
14.3%
Space Separator
ValueCountFrequency (%)
418
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1724
70.2%
Common 612
 
24.9%
Latin 120
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 100
 
5.8%
보 78
 
4.5%
증 58
 
3.4%
기 58
 
3.4%
신 56
 
3.2%
금 49
 
2.8%
사 47
 
2.7%
급 47
 
2.7%
긴 44
 
2.6%
역 38
 
2.2%
Other values (194) 1149
66.6%
Latin
ValueCountFrequency (%)
S 15
12.5%
P 13
10.8%
C 11
 
9.2%
T 10
 
8.3%
N 9
 
7.5%
E 8
 
6.7%
D 7
 
5.8%
G 5
 
4.2%
I 5
 
4.2%
O 5
 
4.2%
Other values (15) 32
26.7%
Common
ValueCountFrequency (%)
418
68.3%
( 59
 
9.6%
) 59
 
9.6%
2 45
 
7.4%
0 14
 
2.3%
, 6
 
1.0%
- 3
 
0.5%
」 2
 
0.3%
「 2
 
0.3%
· 1
 
0.2%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1724
70.2%
ASCII 727
29.6%
None 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
418
57.5%
( 59
 
8.1%
) 59
 
8.1%
2 45
 
6.2%
S 15
 
2.1%
0 14
 
1.9%
P 13
 
1.8%
C 11
 
1.5%
T 10
 
1.4%
N 9
 
1.2%
Other values (25) 74
 
10.2%
Hangul
ValueCountFrequency (%)
용 100
 
5.8%
보 78
 
4.5%
증 58
 
3.4%
기 58
 
3.4%
신 56
 
3.2%
금 49
 
2.8%
사 47
 
2.7%
급 47
 
2.7%
긴 44
 
2.6%
역 38
 
2.2%
Other values (194) 1149
66.6%
None
ValueCountFrequency (%)
」 2
40.0%
「 2
40.0%
· 1
20.0%

수요기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
신용보증기금
89 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신용보증기금
2nd row신용보증기금
3rd row신용보증기금
4th row신용보증기금
5th row신용보증기금

Common Values

ValueCountFrequency (%)
신용보증기금 89
100.0%

Length

2023-12-12T08:35:26.537217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:26.637759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신용보증기금 89
100.0%

연계문서번호
Text

Distinct85
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
2023-12-12T08:35:26.898858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.8988764
Min length6

Characters and Unicode

Total characters703
Distinct characters103
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)91.0%

Sample

1st row업무-대구혁신-1
2nd rowICT-19399
3rd rowICT-17952
4th rowICT-17383
5th rowICT-17126
ValueCountFrequency (%)
ict-005 2
 
2.2%
ict-007 2
 
2.2%
플랫폼-빅데이터-1 2
 
2.2%
업무-차량-1 2
 
2.2%
컨설팅-연구-3 1
 
1.1%
미래-분석-1 1
 
1.1%
개선-행낭-1 1
 
1.1%
홍보-콘텐츠-1 1
 
1.1%
창업-스타트업-1 1
 
1.1%
창업-스타트업-2 1
 
1.1%
Other values (75) 75
84.3%
2023-12-12T08:35:27.385223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 153
21.8%
1 61
 
8.7%
업 26
 
3.7%
0 25
 
3.6%
T 24
 
3.4%
I 23
 
3.3%
C 23
 
3.3%
무 20
 
2.8%
2 20
 
2.8%
보 17
 
2.4%
Other values (93) 311
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
45.5%
Decimal Number 157
22.3%
Dash Punctuation 153
21.8%
Uppercase Letter 73
 
10.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 26
 
8.1%
무 20
 
6.2%
보 17
 
5.3%
설 10
 
3.1%
팅 9
 
2.8%
컨 9
 
2.8%
폼 9
 
2.8%
랫 9
 
2.8%
플 9
 
2.8%
구 7
 
2.2%
Other values (76) 195
60.9%
Decimal Number
ValueCountFrequency (%)
1 61
38.9%
0 25
15.9%
2 20
 
12.7%
7 11
 
7.0%
3 10
 
6.4%
5 8
 
5.1%
9 7
 
4.5%
4 6
 
3.8%
8 5
 
3.2%
6 4
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
T 24
32.9%
I 23
31.5%
C 23
31.5%
S 1
 
1.4%
E 1
 
1.4%
N 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
45.5%
Common 310
44.1%
Latin 73
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 26
 
8.1%
무 20
 
6.2%
보 17
 
5.3%
설 10
 
3.1%
팅 9
 
2.8%
컨 9
 
2.8%
폼 9
 
2.8%
랫 9
 
2.8%
플 9
 
2.8%
구 7
 
2.2%
Other values (76) 195
60.9%
Common
ValueCountFrequency (%)
- 153
49.4%
1 61
 
19.7%
0 25
 
8.1%
2 20
 
6.5%
7 11
 
3.5%
3 10
 
3.2%
5 8
 
2.6%
9 7
 
2.3%
4 6
 
1.9%
8 5
 
1.6%
Latin
ValueCountFrequency (%)
T 24
32.9%
I 23
31.5%
C 23
31.5%
S 1
 
1.4%
E 1
 
1.4%
N 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 383
54.5%
Hangul 320
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 153
39.9%
1 61
 
15.9%
0 25
 
6.5%
T 24
 
6.3%
I 23
 
6.0%
C 23
 
6.0%
2 20
 
5.2%
7 11
 
2.9%
3 10
 
2.6%
5 8
 
2.1%
Other values (7) 25
 
6.5%
Hangul
ValueCountFrequency (%)
업 26
 
8.1%
무 20
 
6.2%
보 17
 
5.3%
설 10
 
3.1%
팅 9
 
2.8%
컨 9
 
2.8%
폼 9
 
2.8%
랫 9
 
2.8%
플 9
 
2.8%
구 7
 
2.2%
Other values (76) 195
60.9%

입찰방식
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size844.0 B
직찰/우편
45 
직찰
22 
전자입찰
21 
직찰/우편/상시
 
1

Length

Max length8
Median length5
Mean length4.0561798
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row전자입찰
2nd row직찰
3rd row직찰
4th row직찰
5th row직찰

Common Values

ValueCountFrequency (%)
직찰/우편 45
50.6%
직찰 22
24.7%
전자입찰 21
23.6%
직찰/우편/상시 1
 
1.1%

Length

2023-12-12T08:35:27.541983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:27.672595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직찰/우편 45
50.6%
직찰 22
24.7%
전자입찰 21
23.6%
직찰/우편/상시 1
 
1.1%

낙찰자결정방법
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
협상에 의한 낙찰제
59 
[시행 2021.03.28] 추정가격 2억원미만(건설산업기본법에 따른 건설공사)
12 
협상에 의한 낙찰자 결정
7 
[시행 2021.03.28] 추정가격 3억원미만 8천만원이상(전기,정보통신,소방시설,문화재공사 등)
 
2
[조달청 기준] 여객 육상운송용역 적격심사(추정가격 5억원이상)
 
2
Other values (6)
7 

Length

Max length55
Median length10
Mean length18.988764
Min length10

Unique

Unique5 ?
Unique (%)5.6%

Sample

1st row[시행 2021.03.28] 추정가격 2억원미만(건설산업기본법에 따른 건설공사)
2nd row협상에 의한 낙찰제
3rd row협상에 의한 낙찰제
4th row협상에 의한 낙찰제
5th row협상에 의한 낙찰제

Common Values

ValueCountFrequency (%)
협상에 의한 낙찰제 59
66.3%
[시행 2021.03.28] 추정가격 2억원미만(건설산업기본법에 따른 건설공사) 12
 
13.5%
협상에 의한 낙찰자 결정 7
 
7.9%
[시행 2021.03.28] 추정가격 3억원미만 8천만원이상(전기,정보통신,소방시설,문화재공사 등) 2
 
2.2%
[조달청 기준] 여객 육상운송용역 적격심사(추정가격 5억원이상) 2
 
2.2%
[조달청 기준] 여객 육상운송용역 적격심사(추정가격 5억원미만-추정가격 고시금액미만) 2
 
2.2%
적격심사(추정가격 고시금액미만 제조입찰,고시금액미만 구매입찰) 1
 
1.1%
[시행 2021.03.28] 추정가격 3억원미만 2억원이상(건설산업기본법에 따른 건설공사) 1
 
1.1%
[조달청 기준] 여객 육상운송용역 적격심사(추정가격 5억원미만) 1
 
1.1%
적격심사(추정가격 고시금액이상 10억원미만 제조입찰,고시금액이상 구매입찰) 1
 
1.1%

Length

2023-12-12T08:35:27.855221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
협상에 66
19.2%
의한 66
19.2%
낙찰제 59
17.2%
시행 15
 
4.4%
2021.03.28 15
 
4.4%
추정가격 15
 
4.4%
따른 13
 
3.8%
건설공사 13
 
3.8%
2억원미만(건설산업기본법에 12
 
3.5%
적격심사(추정가격 8
 
2.3%
Other values (20) 62
18.0%

입찰계약방법
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size844.0 B
제한(총액)협상에의한계약
56 
일반(총액)협상에의한계약
10 
제한(총액)
8 
지명경쟁
7 
지역제한
 
5

Length

Max length13
Median length13
Mean length10.853933
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제한경쟁
2nd row제한(총액)협상에의한계약
3rd row제한(총액)협상에의한계약
4th row제한(총액)협상에의한계약
5th row제한(총액)협상에의한계약

Common Values

ValueCountFrequency (%)
제한(총액)협상에의한계약 56
62.9%
일반(총액)협상에의한계약 10
 
11.2%
제한(총액) 8
 
9.0%
지명경쟁 7
 
7.9%
지역제한 5
 
5.6%
제한경쟁 3
 
3.4%

Length

2023-12-12T08:35:28.005290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:35:28.147116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한(총액)협상에의한계약 56
62.9%
일반(총액)협상에의한계약 10
 
11.2%
제한(총액 8
 
9.0%
지명경쟁 7
 
7.9%
지역제한 5
 
5.6%
제한경쟁 3
 
3.4%

추정가격(배정금액)
Real number (ℝ)

Distinct63
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3083995 × 108
Minimum27272727
Maximum3.4772727 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2023-12-12T08:35:28.328723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27272727
5-th percentile41837563
Q190000000
median1.1363636 × 108
Q32.8704 × 108
95-th percentile1.4676364 × 109
Maximum3.4772727 × 109
Range3.45 × 109
Interquartile range (IQR)1.9704 × 108

Descriptive statistics

Standard deviation5.6281617 × 108
Coefficient of variation (CV)1.7011735
Kurtosis13.481762
Mean3.3083995 × 108
Median Absolute Deviation (MAD)59090909
Skewness3.4479926
Sum2.9444756 × 1010
Variance3.1676205 × 1017
MonotonicityNot monotonic
2023-12-12T08:35:28.484654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90909091 7
 
7.9%
41837563 3
 
3.4%
110000000 3
 
3.4%
45454545 3
 
3.4%
161300000 2
 
2.2%
100000000 2
 
2.2%
2229090909 2
 
2.2%
370909091 2
 
2.2%
624000000 2
 
2.2%
284000000 2
 
2.2%
Other values (53) 61
68.5%
ValueCountFrequency (%)
27272727 1
 
1.1%
30545455 1
 
1.1%
38181818 1
 
1.1%
41837563 3
3.4%
45454545 3
3.4%
47030000 1
 
1.1%
54125000 1
 
1.1%
54545455 2
2.2%
60909091 1
 
1.1%
63636364 2
2.2%
ValueCountFrequency (%)
3477272727 1
1.1%
2229090909 2
2.2%
2017272727 1
1.1%
1692727272 1
1.1%
1130000000 1
1.1%
1100000000 1
1.1%
935454545 1
1.1%
905454545 1
1.1%
731818181 1
1.1%
696363636 2
2.2%

Interactions

2023-12-12T08:35:23.996006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:35:23.765441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:35:24.088469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:35:23.877103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:35:28.609737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분공고상태입찰공고번호공고게시일자공고명연계문서번호입찰방식낙찰자결정방법입찰계약방법추정가격(배정금액)
업무구분1.0000.0980.3710.9181.0000.0000.6681.0000.9380.000
공고상태0.0981.0000.0000.3920.0000.7700.0000.0000.0000.292
입찰공고번호0.3710.0001.0001.0000.9760.9740.3790.3650.5150.512
공고게시일자0.9180.3921.0001.0000.9840.9060.9780.0000.9410.980
공고명1.0000.0000.9760.9841.0000.9891.0000.9490.9970.932
연계문서번호0.0000.7700.9740.9060.9891.0000.0000.9841.0000.915
입찰방식0.6680.0000.3790.9781.0000.0001.0000.7950.7100.000
낙찰자결정방법1.0000.0000.3650.0000.9490.9840.7951.0000.8550.000
입찰계약방법0.9380.0000.5150.9410.9971.0000.7100.8551.0000.000
추정가격(배정금액)0.0000.2920.5120.9800.9320.9150.0000.0000.0001.000
2023-12-12T08:35:28.750307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공고상태입찰방식낙찰자결정방법업무구분입찰계약방법
공고상태1.0000.0000.0000.0240.000
입찰방식0.0001.0000.5990.6920.536
낙찰자결정방법0.0000.5991.0000.9520.640
업무구분0.0240.6920.9521.0000.687
입찰계약방법0.0000.5360.6400.6871.000
2023-12-12T08:35:28.859774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입찰공고번호추정가격(배정금액)업무구분공고상태입찰방식낙찰자결정방법입찰계약방법
입찰공고번호1.0000.0270.2330.0000.2140.1510.284
추정가격(배정금액)0.0271.0000.0000.1850.0000.0000.000
업무구분0.2330.0001.0000.0240.6920.9520.687
공고상태0.0000.1850.0241.0000.0000.0000.000
입찰방식0.2140.0000.6920.0001.0000.5990.536
낙찰자결정방법0.1510.0000.9520.0000.5991.0000.640
입찰계약방법0.2840.0000.6870.0000.5360.6401.000

Missing values

2023-12-12T08:35:24.221238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:35:24.425601image/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

업무구분공고상태입찰공고번호공고게시일자공고명수요기관명연계문서번호입찰방식낙찰자결정방법입찰계약방법추정가격(배정금액)
0공사긴급202212468172022-12-30신용보증기금 대구혁신지점 이전 사무실 인테리어 공사(긴급)신용보증기금업무-대구혁신-1전자입찰[시행 2021.03.28] 추정가격 2억원미만(건설산업기본법에 따른 건설공사)제한경쟁189900000
1용역긴급202212297402022-12-16신용보증기금 업무시스템 유지관리신용보증기금ICT-19399직찰협상에 의한 낙찰제제한(총액)협상에의한계약1130000000
2용역취소202212003642022-12-06신용보증기금 업무시스템 유지관리신용보증기금ICT-17952직찰협상에 의한 낙찰제제한(총액)협상에의한계약2229090909
3용역취소202211344222022-11-29신용보증기금 업무시스템 유지관리신용보증기금ICT-17383직찰협상에 의한 낙찰제제한(총액)협상에의한계약2229090909
4용역긴급202211343962022-11-23PC, 프린터 등 사무용 전산기기 유지관리신용보증기금ICT-17126직찰협상에 의한 낙찰제제한(총액)협상에의한계약905454545
5공사긴급202211221442022-11-15신용보증기금 여수지점 이전 사무실 인테리어 공사(긴급)신용보증기금업무-여수-2전자입찰[시행 2021.03.28] 추정가격 2억원미만(건설산업기본법에 따른 건설공사)지역제한161300000
6공사취소202211219772022-11-15신용보증기금 여수지점 이전 사무실 인테리어 공사(긴급)신용보증기금업무-여수-1전자입찰[시행 2021.03.28] 추정가격 2억원미만(건설산업기본법에 따른 건설공사)지역제한161300000
7용역긴급202210288302022-10-25신용보증기금 빅데이터 플랫폼 2단계 구축 개인정보 영향평가 컨설팅 업체 선정(긴급)신용보증기금플랫폼-개인정보-1직찰/우편협상에 의한 낙찰제일반(총액)협상에의한계약38181818
8용역긴급202210266612022-10-24신용보증기금 「빅데이터 플랫폼」 전자지급결제 대행사(PG사) 선정 (긴급)신용보증기금플랫폼-결제-1직찰/우편협상에 의한 낙찰제일반(총액)협상에의한계약90000000
9용역긴급202210186562022-10-18Paperless 디지털 영업점 구축 컨설팅신용보증기금ICT-14305직찰협상에 의한 낙찰제제한(총액)협상에의한계약101818182
업무구분공고상태입찰공고번호공고게시일자공고명수요기관명연계문서번호입찰방식낙찰자결정방법입찰계약방법추정가격(배정금액)
79용역일반202202123472022-02-10신용보증기금 업무용차량(리스) 입찰신용보증기금업무-차량-2전자입찰[조달청 기준] 화물 육상운송용역 적격심사(추정가격 5억원미만-추정가격 고시금액미만)제한(총액)41837563
80용역취소202202109722022-02-10신용보증기금 업무용차량(리스) 용역 계약신용보증기금업무-차량-1전자입찰[조달청 기준] 여객 육상운송용역 적격심사(추정가격 5억원미만-추정가격 고시금액미만)제한(총액)41837563
81용역긴급202202023502022-02-03신용보증기금 단체보장보험 보험사 선정신용보증기금인재-보험-2직찰/우편협상에 의한 낙찰제일반(총액)협상에의한계약696363636
82용역긴급202201286352022-01-27신용보증기금 업무용차량(리스) 용역 계약신용보증기금업무-차량-1전자입찰[조달청 기준] 여객 육상운송용역 적격심사(추정가격 5억원미만-추정가격 고시금액미만)제한(총액)41837563
83용역취소202201255552022-01-26신용보증기금 단체보장보험 보험사 선정신용보증기금인재-보험-1직찰/우편협상에 의한 낙찰제일반(총액)협상에의한계약696363636
84용역긴급202201212152022-01-212022년 Start-up NEST 액셀러레이팅 위탁 운영 용역신용보증기금창업-네스트-1직찰/우편협상에 의한 낙찰제제한(총액)협상에의한계약1100000000
85용역긴급202201211882022-01-21신용보증기금 신용정보업 관련 법률자문 용역신용보증기금플랫폼-자문-1직찰/우편협상에 의한 낙찰제일반(총액)협상에의한계약72727272
86공사긴급202201210652022-01-21신용보증기금 강서지점 (구)사무실 원상복구공사신용보증기금업무-강서-2전자입찰[시행 2021.03.28] 추정가격 2억원미만(건설산업기본법에 따른 건설공사)지명경쟁47030000
87용역일반202201170152022-01-18DT감사시스템 구축신용보증기금ICT-001직찰협상에 의한 낙찰제제한(총액)협상에의한계약1692727272
88용역긴급202201115672022-01-13전자보증시스템 선진화 ISP 수립 컨설팅신용보증기금ICT-002직찰협상에 의한 낙찰제제한(총액)협상에의한계약99090909