Overview

Dataset statistics

Number of variables19
Number of observations654
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory101.7 KiB
Average record size in memory159.2 B

Variable types

Categorical9
Numeric6
Text2
Boolean2

Dataset

Description대전광역시 입찰(공사_용역_물품) 정보(공고번호, 공고기관명, 공고상태, 입찰방식, 공고명, 공고기관, 계약방법, 입찰서마감일시, 입찰방법 등) 입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15073939/fileData.do

Alerts

공고등록유형 has constant value ""Constant
개찰장소명 has constant value ""Constant
입찰계약방법 is highly overall correlated with 입찰서개시일자 and 6 other fieldsHigh correlation
재입찰허용여부 is highly overall correlated with 입찰계약방법High correlation
입찰공고번호 is highly overall correlated with 공고게시일자 and 3 other fieldsHigh correlation
공고게시일자 is highly overall correlated with 입찰공고번호 and 3 other fieldsHigh correlation
입찰서개시일자 is highly overall correlated with 입찰공고번호 and 5 other fieldsHigh correlation
입찰서마감일자 is highly overall correlated with 입찰공고번호 and 5 other fieldsHigh correlation
개찰일자 is highly overall correlated with 입찰공고번호 and 3 other fieldsHigh correlation
추정가격(배정금액) is highly overall correlated with 입찰계약방법High correlation
업무구분 is highly overall correlated with 입찰계약방법High correlation
공고상태 is highly overall correlated with 입찰공고차수High correlation
입찰공고차수 is highly overall correlated with 공고상태High correlation
공고기관명 is highly overall correlated with 수요기관명High correlation
수요기관명 is highly overall correlated with 공고기관명High correlation
입찰방식 is highly overall correlated with 입찰서개시일자 and 2 other fieldsHigh correlation
공동수급여부 is highly overall correlated with 입찰계약방법High correlation
입찰공고차수 is highly imbalanced (76.8%)Imbalance
공고기관명 is highly imbalanced (74.4%)Imbalance
입찰방식 is highly imbalanced (82.8%)Imbalance
재입찰허용여부 is highly imbalanced (68.0%)Imbalance
입찰공고번호 has unique valuesUnique
입찰서개시일자 has 14 (2.1%) zerosZeros
입찰서마감일자 has 14 (2.1%) zerosZeros

Reproduction

Analysis started2023-12-12 00:03:04.050236
Analysis finished2023-12-12 00:03:10.074691
Duration6.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고등록유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
나라장터(G2B)
654 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row나라장터(G2B)
2nd row나라장터(G2B)
3rd row나라장터(G2B)
4th row나라장터(G2B)
5th row나라장터(G2B)

Common Values

ValueCountFrequency (%)
나라장터(G2B) 654
100.0%

Length

2023-12-12T09:03:10.154198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:10.272608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
나라장터(g2b 654
100.0%

업무구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
용역
369 
공사
190 
물품
95 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용역 369
56.4%
공사 190
29.1%
물품 95
 
14.5%

Length

2023-12-12T09:03:10.403179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:10.538226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용역 369
56.4%
공사 190
29.1%
물품 95
 
14.5%

공고상태
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
일반
416 
긴급
167 
변경
 
34
재입찰
 
21
취소
 
16

Length

Max length3
Median length2
Mean length2.0321101
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 416
63.6%
긴급 167
25.5%
변경 34
 
5.2%
재입찰 21
 
3.2%
취소 16
 
2.4%

Length

2023-12-12T09:03:10.689627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:10.794028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 416
63.6%
긴급 167
25.5%
변경 34
 
5.2%
재입찰 21
 
3.2%
취소 16
 
2.4%

입찰공고번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct654
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.020401 × 1010
Minimum2.0200928 × 1010
Maximum2.0210311 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T09:03:10.909310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0200928 × 1010
5-th percentile2.0201011 × 1010
Q12.0201122 × 1010
median2.020121 × 1010
Q32.0210121 × 1010
95-th percentile2.02103 × 1010
Maximum2.0210311 × 1010
Range9383725
Interquartile range (IQR)8998667.2

Descriptive statistics

Standard deviation4219565
Coefficient of variation (CV)0.0002088479
Kurtosis-1.3780919
Mean2.020401 × 1010
Median Absolute Deviation (MAD)103305.5
Skewness0.79038456
Sum1.3213423 × 1013
Variance1.7804729 × 1013
MonotonicityNot monotonic
2023-12-12T09:03:11.030461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210308661 1
 
0.2%
20201225647 1
 
0.2%
20201240043 1
 
0.2%
20201238465 1
 
0.2%
20201237294 1
 
0.2%
20201235275 1
 
0.2%
20201234679 1
 
0.2%
20201234644 1
 
0.2%
20201234094 1
 
0.2%
20201231611 1
 
0.2%
Other values (644) 644
98.5%
ValueCountFrequency (%)
20200927715 1
0.2%
20201001873 1
0.2%
20201001986 1
0.2%
20201002362 1
0.2%
20201003818 1
0.2%
20201003826 1
0.2%
20201003834 1
0.2%
20201003848 1
0.2%
20201004179 1
0.2%
20201004243 1
0.2%
ValueCountFrequency (%)
20210311440 1
0.2%
20210311392 1
0.2%
20210311321 1
0.2%
20210309789 1
0.2%
20210309774 1
0.2%
20210309767 1
0.2%
20210309761 1
0.2%
20210309749 1
0.2%
20210308956 1
0.2%
20210308745 1
0.2%

입찰공고차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
0
602 
1
 
42
2
 
9
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 602
92.0%
1 42
 
6.4%
2 9
 
1.4%
3 1
 
0.2%

Length

2023-12-12T09:03:11.144583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:11.236456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 602
92.0%
1 42
 
6.4%
2 9
 
1.4%
3 1
 
0.2%

공고게시일자
Real number (ℝ)

HIGH CORRELATION 

Distinct98
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20204022
Minimum20201005
Maximum20210308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T09:03:11.340600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201005
5-th percentile20201015
Q120201118
median20201208
Q320210125
95-th percentile20210303
Maximum20210308
Range9303
Interquartile range (IQR)9007

Descriptive statistics

Standard deviation4225.7185
Coefficient of variation (CV)0.00020915235
Kurtosis-1.3901403
Mean20204022
Median Absolute Deviation (MAD)102
Skewness0.78282853
Sum1.321343 × 1010
Variance17856697
MonotonicityNot monotonic
2023-12-12T09:03:11.467617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201207 26
 
4.0%
20201202 21
 
3.2%
20201209 19
 
2.9%
20201211 19
 
2.9%
20201130 18
 
2.8%
20201210 18
 
2.8%
20201105 17
 
2.6%
20201214 16
 
2.4%
20210215 15
 
2.3%
20201118 15
 
2.3%
Other values (88) 470
71.9%
ValueCountFrequency (%)
20201005 1
 
0.2%
20201006 2
 
0.3%
20201007 8
1.2%
20201008 5
0.8%
20201012 8
1.2%
20201013 3
 
0.5%
20201014 4
0.6%
20201015 3
 
0.5%
20201016 2
 
0.3%
20201020 6
0.9%
ValueCountFrequency (%)
20210308 9
1.4%
20210305 10
1.5%
20210304 8
1.2%
20210303 15
2.3%
20210302 2
 
0.3%
20210226 6
 
0.9%
20210225 5
 
0.8%
20210224 14
2.1%
20210223 3
 
0.5%
20210222 9
1.4%

공고명
Text

Distinct601
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-12T09:03:11.676210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length39
Mean length27.035168
Min length10

Characters and Unicode

Total characters17681
Distinct characters455
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

Unique559 ?
Unique (%)85.5%

Sample

1st row노후 민방위 경보단말(사이렌) 제조구매설치(교체)
2nd row산불전문진화차 제조구매
3rd row공공이용시설 지원 소방시설(K급 소화기) 제조구매
4th row염소용기 계량저울 제조구매설치
5th row2021년 제1차 시험연구용 재료 구매(긴급)
ValueCountFrequency (%)
2021년 123
 
3.8%
용역 95
 
2.9%
및 69
 
2.1%
상수도 63
 
2.0%
2021년도 42
 
1.3%
연간단가계약공사 42
 
1.3%
등 39
 
1.2%
실시설계용역 36
 
1.1%
관내 36
 
1.1%
2020년 32
 
1.0%
Other values (1009) 2652
82.1%
2023-12-12T09:03:12.008562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2575
 
14.6%
2 529
 
3.0%
역 505
 
2.9%
사 471
 
2.7%
공 429
 
2.4%
용 387
 
2.2%
구 329
 
1.9%
( 306
 
1.7%
) 306
 
1.7%
시 302
 
1.7%
Other values (445) 11542
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12883
72.9%
Space Separator 2575
 
14.6%
Decimal Number 1225
 
6.9%
Open Punctuation 308
 
1.7%
Close Punctuation 308
 
1.7%
Uppercase Letter 190
 
1.1%
Lowercase Letter 71
 
0.4%
Other Punctuation 59
 
0.3%
Dash Punctuation 48
 
0.3%
Math Symbol 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 505
 
3.9%
사 471
 
3.7%
공 429
 
3.3%
용 387
 
3.0%
구 329
 
2.6%
시 302
 
2.3%
도 274
 
2.1%
수 274
 
2.1%
설 254
 
2.0%
전 253
 
2.0%
Other values (387) 9405
73.0%
Uppercase Letter
ValueCountFrequency (%)
R 22
11.6%
T 20
 
10.5%
S 18
 
9.5%
C 17
 
8.9%
D 14
 
7.4%
N 12
 
6.3%
B 12
 
6.3%
P 10
 
5.3%
V 8
 
4.2%
W 7
 
3.7%
Other values (13) 50
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 32
45.1%
w 12
 
16.9%
a 4
 
5.6%
o 4
 
5.6%
n 4
 
5.6%
i 3
 
4.2%
s 3
 
4.2%
j 3
 
4.2%
u 1
 
1.4%
m 1
 
1.4%
Other values (4) 4
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 529
43.2%
1 281
22.9%
0 258
21.1%
3 55
 
4.5%
4 26
 
2.1%
9 25
 
2.0%
5 23
 
1.9%
7 12
 
1.0%
6 9
 
0.7%
8 7
 
0.6%
Other Punctuation
ValueCountFrequency (%)
· 32
54.2%
, 20
33.9%
. 4
 
6.8%
/ 3
 
5.1%
Open Punctuation
ValueCountFrequency (%)
( 306
99.4%
『 2
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 306
99.4%
』 2
 
0.6%
Space Separator
ValueCountFrequency (%)
2575
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12883
72.9%
Common 4537
 
25.7%
Latin 261
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 505
 
3.9%
사 471
 
3.7%
공 429
 
3.3%
용 387
 
3.0%
구 329
 
2.6%
시 302
 
2.3%
도 274
 
2.1%
수 274
 
2.1%
설 254
 
2.0%
전 253
 
2.0%
Other values (387) 9405
73.0%
Latin
ValueCountFrequency (%)
e 32
 
12.3%
R 22
 
8.4%
T 20
 
7.7%
S 18
 
6.9%
C 17
 
6.5%
D 14
 
5.4%
N 12
 
4.6%
w 12
 
4.6%
B 12
 
4.6%
P 10
 
3.8%
Other values (27) 92
35.2%
Common
ValueCountFrequency (%)
2575
56.8%
2 529
 
11.7%
( 306
 
6.7%
) 306
 
6.7%
1 281
 
6.2%
0 258
 
5.7%
3 55
 
1.2%
- 48
 
1.1%
· 32
 
0.7%
4 26
 
0.6%
Other values (11) 121
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12877
72.8%
ASCII 4762
 
26.9%
None 36
 
0.2%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2575
54.1%
2 529
 
11.1%
( 306
 
6.4%
) 306
 
6.4%
1 281
 
5.9%
0 258
 
5.4%
3 55
 
1.2%
- 48
 
1.0%
e 32
 
0.7%
4 26
 
0.5%
Other values (45) 346
 
7.3%
Hangul
ValueCountFrequency (%)
역 505
 
3.9%
사 471
 
3.7%
공 429
 
3.3%
용 387
 
3.0%
구 329
 
2.6%
시 302
 
2.3%
도 274
 
2.1%
수 274
 
2.1%
설 254
 
2.0%
전 253
 
2.0%
Other values (386) 9399
73.0%
None
ValueCountFrequency (%)
· 32
88.9%
』 2
 
5.6%
『 2
 
5.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%

공고기관명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
대전광역시
551 
대전광역시 건설관리본부
 
52
조달청
 
18
조달청 대전지방조달청
 
10
대전광역시 상수도사업본부 중부사업소
 
4
Other values (11)
 
19

Length

Max length21
Median length5
Mean length5.9602446
Min length3

Unique

Unique5 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 551
84.3%
대전광역시 건설관리본부 52
 
8.0%
조달청 18
 
2.8%
조달청 대전지방조달청 10
 
1.5%
대전광역시 상수도사업본부 중부사업소 4
 
0.6%
대전광역시 상수도사업본부 3
 
0.5%
대전광역시 상수도사업본부 수도시설관리소 3
 
0.5%
대전광역시 하천관리사업소 2
 
0.3%
대전광역시 공원관리사업소 2
 
0.3%
대전광역시 상수도사업본부 대덕사업소 2
 
0.3%
Other values (6) 7
 
1.1%

Length

2023-12-12T09:03:12.143595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대전광역시 626
83.6%
건설관리본부 52
 
6.9%
조달청 28
 
3.7%
상수도사업본부 13
 
1.7%
대전지방조달청 10
 
1.3%
중부사업소 4
 
0.5%
수도시설관리소 3
 
0.4%
하천관리사업소 2
 
0.3%
공원관리사업소 2
 
0.3%
대덕사업소 2
 
0.3%
Other values (6) 7
 
0.9%

수요기관명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
대전광역시
299 
대전광역시 건설관리본부
215 
대전광역시 상수도사업본부 중부사업소
 
20
대전광역시 상수도사업본부
 
18
대전광역시 상수도사업본부 수도시설관리소
 
16
Other values (19)
86 

Length

Max length22
Median length21
Mean length9.8914373
Min length5

Unique

Unique6 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 299
45.7%
대전광역시 건설관리본부 215
32.9%
대전광역시 상수도사업본부 중부사업소 20
 
3.1%
대전광역시 상수도사업본부 18
 
2.8%
대전광역시 상수도사업본부 수도시설관리소 16
 
2.4%
대전광역시 상수도사업본부 동부사업소 12
 
1.8%
대전광역시 상수도사업본부 대덕사업소 12
 
1.8%
대전광역시 상수도사업본부 유성사업소 11
 
1.7%
대전광역시 상수도사업본부 서부사업소 11
 
1.7%
대전광역시 공원관리사업소 8
 
1.2%
Other values (14) 32
 
4.9%

Length

2023-12-12T09:03:12.294123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대전광역시 654
59.5%
건설관리본부 215
 
19.6%
상수도사업본부 108
 
9.8%
중부사업소 20
 
1.8%
수도시설관리소 16
 
1.5%
동부사업소 12
 
1.1%
대덕사업소 12
 
1.1%
유성사업소 11
 
1.0%
서부사업소 11
 
1.0%
공원관리사업소 8
 
0.7%
Other values (14) 32
 
2.9%

연계문서번호
Text

Distinct637
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-12T09:03:12.597966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length19.573394
Min length3

Characters and Unicode

Total characters12801
Distinct characters55
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique620 ?
Unique (%)94.8%

Sample

1st row대전광역시 공고 제2021-540호
2nd row대전광역시공고 제2021 - 520호
3rd row대전광역시공고 제2021 - 558호
4th row대전광역시공고 제2021 - 539호
5th row대전광역시공고 제2020 - 550호
ValueCountFrequency (%)
대전광역시 499
25.5%
공고 471
24.1%
대전광역시공고 110
 
5.6%
68
 
3.5%
건설관리본부 52
 
2.7%
제2020 44
 
2.2%
제2021 22
 
1.1%
제 7
 
0.4%
상수도사업본부 7
 
0.4%
중부사업소 4
 
0.2%
Other values (647) 672
34.4%
2023-12-12T09:03:12.958312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1624
 
12.7%
0 1348
 
10.5%
1302
 
10.2%
- 623
 
4.9%
제 621
 
4.9%
호 619
 
4.8%
대 614
 
4.8%
시 614
 
4.8%
전 613
 
4.8%
역 611
 
4.8%
Other values (45) 4212
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5946
46.4%
Decimal Number 4930
38.5%
Space Separator 1302
 
10.2%
Dash Punctuation 623
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 621
10.4%
호 619
10.4%
대 614
10.3%
시 614
10.3%
전 613
10.3%
역 611
10.3%
광 611
10.3%
공 583
9.8%
고 581
9.8%
부 65
 
1.1%
Other values (33) 414
7.0%
Decimal Number
ValueCountFrequency (%)
2 1624
32.9%
0 1348
27.3%
1 483
 
9.8%
3 433
 
8.8%
4 199
 
4.0%
6 193
 
3.9%
5 189
 
3.8%
9 159
 
3.2%
8 154
 
3.1%
7 148
 
3.0%
Space Separator
ValueCountFrequency (%)
1302
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 623
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6855
53.6%
Hangul 5946
46.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 621
10.4%
호 619
10.4%
대 614
10.3%
시 614
10.3%
전 613
10.3%
역 611
10.3%
광 611
10.3%
공 583
9.8%
고 581
9.8%
부 65
 
1.1%
Other values (33) 414
7.0%
Common
ValueCountFrequency (%)
2 1624
23.7%
0 1348
19.7%
1302
19.0%
- 623
 
9.1%
1 483
 
7.0%
3 433
 
6.3%
4 199
 
2.9%
6 193
 
2.8%
5 189
 
2.8%
9 159
 
2.3%
Other values (2) 302
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6855
53.6%
Hangul 5946
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1624
23.7%
0 1348
19.7%
1302
19.0%
- 623
 
9.1%
1 483
 
7.0%
3 433
 
6.3%
4 199
 
2.9%
6 193
 
2.8%
5 189
 
2.8%
9 159
 
2.3%
Other values (2) 302
 
4.4%
Hangul
ValueCountFrequency (%)
제 621
10.4%
호 619
10.4%
대 614
10.3%
시 614
10.3%
전 613
10.3%
역 611
10.3%
광 611
10.3%
공 583
9.8%
고 581
9.8%
부 65
 
1.1%
Other values (33) 414
7.0%

입찰방식
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
전자입찰
629 
직찰
 
14
전자시담
 
11

Length

Max length4
Median length4
Mean length3.9571865
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전자입찰 629
96.2%
직찰 14
 
2.1%
전자시담 11
 
1.7%

Length

2023-12-12T09:03:13.090609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:13.195217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자입찰 629
96.2%
직찰 14
 
2.1%
전자시담 11
 
1.7%

입찰계약방법
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
수의(총액)소액-견적입찰(2인 이상 견적 제출)
304 
수의(소액)-견적입찰(2인 이상 견적 제출)
76 
제한경쟁
75 
제한(총액)
50 
일반경쟁
39 
Other values (16)
110 

Length

Max length28
Median length26
Mean length17.553517
Min length4

Unique

Unique4 ?
Unique (%)0.6%

Sample

1st row제한(총액)
2nd row제한(총액)규격가격동시
3rd row수의(총액)소액-견적입찰(2인 이상 견적 제출)
4th row수의(총액)소액-견적입찰(2인 이상 견적 제출)
5th row수의(총액)소액-견적입찰(2인 이상 견적 제출)

Common Values

ValueCountFrequency (%)
수의(총액)소액-견적입찰(2인 이상 견적 제출) 304
46.5%
수의(소액)-견적입찰(2인 이상 견적 제출) 76
 
11.6%
제한경쟁 75
 
11.5%
제한(총액) 50
 
7.6%
일반경쟁 39
 
6.0%
제한(총액)협상에의한계약 31
 
4.7%
지역제한 24
 
3.7%
수의(소액) 14
 
2.1%
일반(총액) 10
 
1.5%
수의(총액) 6
 
0.9%
Other values (11) 25
 
3.8%

Length

2023-12-12T09:03:13.316661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이상 383
21.2%
견적 383
21.2%
제출 383
21.2%
수의(총액)소액-견적입찰(2인 304
16.9%
수의(소액)-견적입찰(2인 76
 
4.2%
제한경쟁 75
 
4.2%
제한(총액 50
 
2.8%
일반경쟁 39
 
2.2%
제한(총액)협상에의한계약 31
 
1.7%
지역제한 24
 
1.3%
Other values (15) 56
 
3.1%

입찰서개시일자
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct93
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19771577
Minimum0
Maximum20210317
Zeros14
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T09:03:13.446924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20201014
Q120201120
median20201211
Q320210126
95-th percentile20210305
Maximum20210317
Range20210317
Interquartile range (IQR)9006

Descriptive statistics

Standard deviation2926497
Coefficient of variation (CV)0.14801535
Kurtosis42.066055
Mean19771577
Median Absolute Deviation (MAD)102
Skewness-6.6285235
Sum1.2930612 × 1010
Variance8.5643846 × 1012
MonotonicityNot monotonic
2023-12-12T09:03:13.605000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201211 27
 
4.1%
20201209 25
 
3.8%
20201215 25
 
3.8%
20201204 22
 
3.4%
20201202 20
 
3.1%
20201214 18
 
2.8%
20201109 18
 
2.8%
20201127 17
 
2.6%
20201216 16
 
2.4%
20201218 15
 
2.3%
Other values (83) 451
69.0%
ValueCountFrequency (%)
0 14
2.1%
20201008 5
 
0.8%
20201012 12
1.8%
20201013 1
 
0.2%
20201014 6
0.9%
20201015 1
 
0.2%
20201016 1
 
0.2%
20201019 4
 
0.6%
20201021 3
 
0.5%
20201022 1
 
0.2%
ValueCountFrequency (%)
20210317 1
 
0.2%
20210315 1
 
0.2%
20210312 3
 
0.5%
20210310 8
1.2%
20210309 10
1.5%
20210308 7
1.1%
20210305 14
2.1%
20210303 7
1.1%
20210302 11
1.7%
20210226 5
 
0.8%

입찰서마감일자
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct89
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19771586
Minimum0
Maximum20210319
Zeros14
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T09:03:13.744426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20201016
Q120201124
median20201215
Q320210128
95-th percentile20210309
Maximum20210319
Range20210319
Interquartile range (IQR)9004

Descriptive statistics

Standard deviation2926498.3
Coefficient of variation (CV)0.14801535
Kurtosis42.066055
Mean19771586
Median Absolute Deviation (MAD)104
Skewness-6.6285234
Sum1.2930617 × 1010
Variance8.5643922 × 1012
MonotonicityNot monotonic
2023-12-12T09:03:13.882828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201215 27
 
4.1%
20201217 26
 
4.0%
20201208 24
 
3.7%
20201211 22
 
3.4%
20201111 20
 
3.1%
20201216 20
 
3.1%
20201204 19
 
2.9%
20201201 18
 
2.8%
20201222 17
 
2.6%
20201218 16
 
2.4%
Other values (79) 445
68.0%
ValueCountFrequency (%)
0 14
2.1%
20201013 3
 
0.5%
20201014 8
1.2%
20201015 3
 
0.5%
20201016 10
1.5%
20201020 2
 
0.3%
20201021 5
 
0.8%
20201023 1
 
0.2%
20201027 9
1.4%
20201028 7
1.1%
ValueCountFrequency (%)
20210319 1
 
0.2%
20210317 1
 
0.2%
20210316 3
 
0.5%
20210312 8
1.2%
20210311 11
1.7%
20210310 8
1.2%
20210309 12
1.8%
20210305 7
1.1%
20210304 12
1.8%
20210303 5
0.8%

개찰일자
Real number (ℝ)

HIGH CORRELATION 

Distinct94
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20204124
Minimum20201013
Maximum20210325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T09:03:14.312634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201013
5-th percentile20201026
Q120201125
median20201215
Q320210129
95-th percentile20210310
Maximum20210325
Range9312
Interquartile range (IQR)9004

Descriptive statistics

Standard deviation4256.777
Coefficient of variation (CV)0.00021068853
Kurtosis-1.4586422
Mean20204124
Median Absolute Deviation (MAD)103
Skewness0.73792911
Sum1.3213497 × 1010
Variance18120151
MonotonicityNot monotonic
2023-12-12T09:03:14.493709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201215 28
 
4.3%
20201217 25
 
3.8%
20201208 24
 
3.7%
20201216 21
 
3.2%
20201111 21
 
3.2%
20201211 20
 
3.1%
20201204 20
 
3.1%
20201201 18
 
2.8%
20201124 17
 
2.6%
20201209 17
 
2.6%
Other values (84) 443
67.7%
ValueCountFrequency (%)
20201013 2
 
0.3%
20201014 8
1.2%
20201015 4
 
0.6%
20201016 10
1.5%
20201020 3
 
0.5%
20201021 5
 
0.8%
20201023 1
 
0.2%
20201027 8
1.2%
20201028 8
1.2%
20201029 14
2.1%
ValueCountFrequency (%)
20210325 1
 
0.2%
20210324 1
 
0.2%
20210323 3
 
0.5%
20210319 1
 
0.2%
20210316 1
 
0.2%
20210315 1
 
0.2%
20210312 8
1.2%
20210311 11
1.7%
20210310 8
1.2%
20210309 12
1.8%

개찰장소명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
국가종합전자조달시스템(나라장터)
654 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국가종합전자조달시스템(나라장터)
2nd row국가종합전자조달시스템(나라장터)
3rd row국가종합전자조달시스템(나라장터)
4th row국가종합전자조달시스템(나라장터)
5th row국가종합전자조달시스템(나라장터)

Common Values

ValueCountFrequency (%)
국가종합전자조달시스템(나라장터) 654
100.0%

Length

2023-12-12T09:03:14.627397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:14.737057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가종합전자조달시스템(나라장터 654
100.0%

추정가격(배정금액)
Real number (ℝ)

HIGH CORRELATION 

Distinct550
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5717966 × 108
Minimum3360000
Maximum3.1552382 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-12T09:03:14.887906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3360000
5-th percentile17051136
Q134146659
median71576364
Q32.3071864 × 108
95-th percentile1.2055227 × 109
Maximum3.1552382 × 1010
Range3.1549022 × 1010
Interquartile range (IQR)1.9657198 × 108

Descriptive statistics

Standard deviation1.4935455 × 109
Coefficient of variation (CV)4.1814965
Kurtosis299.67792
Mean3.5717966 × 108
Median Absolute Deviation (MAD)50855000
Skewness15.423175
Sum2.335955 × 1011
Variance2.2306782 × 1018
MonotonicityNot monotonic
2023-12-12T09:03:15.087081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60613636 10
 
1.5%
18181818 5
 
0.8%
55761818 4
 
0.6%
29750000 4
 
0.6%
23934545 4
 
0.6%
650790000 4
 
0.6%
48181818 3
 
0.5%
43046363 3
 
0.5%
795830000 3
 
0.5%
14111000 3
 
0.5%
Other values (540) 611
93.4%
ValueCountFrequency (%)
3360000 1
0.2%
5118181 1
0.2%
5380000 1
0.2%
6640000 2
0.3%
6880000 1
0.2%
7436363 1
0.2%
7850000 1
0.2%
8520000 1
0.2%
8630000 1
0.2%
9537272 1
0.2%
ValueCountFrequency (%)
31552381818 1
0.2%
10801436363 2
0.3%
6450359200 1
0.2%
5940201818 1
0.2%
4787379091 1
0.2%
4481818181 1
0.2%
3747272727 1
0.2%
3496127273 1
0.2%
3378596364 1
0.2%
3229090909 1
0.2%

공동수급여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size786.0 B
False
567 
True
87 
ValueCountFrequency (%)
False 567
86.7%
True 87
 
13.3%
2023-12-12T09:03:15.216027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

재입찰허용여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size786.0 B
True
616 
False
 
38
ValueCountFrequency (%)
True 616
94.2%
False 38
 
5.8%
2023-12-12T09:03:15.314430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T09:03:08.913586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:05.307203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:05.821224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:06.453105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:07.142617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:08.217122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:09.010232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:05.381978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:05.906926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:06.556499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:07.257551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:08.325233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:09.118734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:05.458660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:06.003245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:06.686851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:07.682418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:08.453272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:09.234672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:05.562170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:06.121554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:06.803968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:07.808387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:08.585239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:09.376960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:05.650781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:06.225396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:06.914195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:07.945573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:08.699619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:09.491345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:05.733870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:06.344354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:07.011930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:08.091368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:08.800231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:03:15.421381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분공고상태입찰공고번호입찰공고차수공고게시일자공고기관명수요기관명입찰방식입찰계약방법입찰서개시일자입찰서마감일자개찰일자추정가격(배정금액)공동수급여부재입찰허용여부
업무구분1.0000.3910.1200.1120.1220.2730.5760.3360.9300.0710.0710.1240.0830.1070.083
공고상태0.3911.0000.0000.6370.0220.0980.1750.2330.4900.2020.2020.0110.1090.2120.116
입찰공고번호0.1200.0001.0000.1061.0000.2030.2960.0280.2560.0000.0000.9990.0350.0630.125
입찰공고차수0.1120.6370.1061.0000.1140.6870.3150.1930.1560.3950.3950.1010.0000.2930.246
공고게시일자0.1220.0221.0000.1141.0000.2040.2970.0280.2520.0000.0000.9990.0360.0420.126
공고기관명0.2730.0980.2030.6870.2041.0000.9140.6130.8220.1960.1960.2120.0000.3950.584
수요기관명0.5760.1750.2960.3150.2970.9141.0000.0000.6800.0000.0000.3140.0000.2420.245
입찰방식0.3360.2330.0280.1930.0280.6130.0001.0000.9781.0001.0000.0390.1390.0420.000
입찰계약방법0.9300.4900.2560.1560.2520.8220.6800.9781.0000.7100.7100.2510.7670.7250.986
입찰서개시일자0.0710.2020.0000.3950.0000.1960.0001.0000.7101.0000.9980.0280.1360.0000.000
입찰서마감일자0.0710.2020.0000.3950.0000.1960.0001.0000.7100.9981.0000.0280.1360.0000.000
개찰일자0.1240.0110.9990.1010.9990.2120.3140.0390.2510.0280.0281.0000.0830.0680.139
추정가격(배정금액)0.0830.1090.0350.0000.0360.0000.0000.1390.7670.1360.1360.0831.0000.1480.115
공동수급여부0.1070.2120.0630.2930.0420.3950.2420.0420.7250.0000.0000.0680.1481.0000.626
재입찰허용여부0.0830.1160.1250.2460.1260.5840.2450.0000.9860.0000.0000.1390.1150.6261.000
2023-12-12T09:03:15.596119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공고기관명입찰계약방법업무구분수요기관명공고상태입찰공고차수공동수급여부재입찰허용여부입찰방식
공고기관명1.0000.4150.1520.5390.0490.3850.3080.4580.414
입찰계약방법0.4151.0000.7180.2470.2620.0830.6430.9730.827
업무구분0.1520.7181.0000.3200.3210.1050.1780.1370.116
수요기관명0.5390.2470.3201.0000.0840.1510.1890.1910.000
공고상태0.0490.2620.3210.0841.0000.5650.2580.1410.179
입찰공고차수0.3850.0830.1050.1510.5651.0000.1950.1630.183
공동수급여부0.3080.6430.1780.1890.2580.1951.0000.4310.070
재입찰허용여부0.4580.9730.1370.1910.1410.1630.4311.0000.000
입찰방식0.4140.8270.1160.0000.1790.1830.0700.0001.000
2023-12-12T09:03:15.766979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입찰공고번호공고게시일자입찰서개시일자입찰서마감일자개찰일자추정가격(배정금액)업무구분공고상태입찰공고차수공고기관명수요기관명입찰방식입찰계약방법공동수급여부재입찰허용여부
입찰공고번호1.0000.9990.9480.9480.993-0.0620.1980.0000.0680.1570.2300.0460.2230.0430.083
공고게시일자0.9991.0000.9480.9480.994-0.0560.2000.0190.0730.1580.2310.0460.2190.0310.084
입찰서개시일자0.9480.9481.0001.0000.951-0.0650.1180.2460.2650.1520.0000.9990.6270.0000.000
입찰서마감일자0.9480.9481.0001.0000.952-0.0720.1180.2460.2650.1520.0000.9990.6270.0000.000
개찰일자0.9930.9940.9510.9521.000-0.0230.2060.0150.0670.1640.2440.0640.2180.0420.088
추정가격(배정금액)-0.062-0.056-0.065-0.072-0.0231.0000.0620.0410.0000.0000.0000.1050.5010.1810.140
업무구분0.1980.2000.1180.1180.2060.0621.0000.3210.1050.1520.3200.1160.7180.1780.137
공고상태0.0000.0190.2460.2460.0150.0410.3211.0000.5650.0490.0840.1790.2620.2580.141
입찰공고차수0.0680.0730.2650.2650.0670.0000.1050.5651.0000.3850.1510.1830.0830.1950.163
공고기관명0.1570.1580.1520.1520.1640.0000.1520.0490.3851.0000.5390.4140.4150.3080.458
수요기관명0.2300.2310.0000.0000.2440.0000.3200.0840.1510.5391.0000.0000.2470.1890.191
입찰방식0.0460.0460.9990.9990.0640.1050.1160.1790.1830.4140.0001.0000.8270.0700.000
입찰계약방법0.2230.2190.6270.6270.2180.5010.7180.2620.0830.4150.2470.8271.0000.6430.973
공동수급여부0.0430.0310.0000.0000.0420.1810.1780.2580.1950.3080.1890.0700.6431.0000.431
재입찰허용여부0.0830.0840.0000.0000.0880.1400.1370.1410.1630.4580.1910.0000.9730.4311.000

Missing values

2023-12-12T09:03:09.663032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:03:09.974541image/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

공고등록유형업무구분공고상태입찰공고번호입찰공고차수공고게시일자공고명공고기관명수요기관명연계문서번호입찰방식입찰계약방법입찰서개시일자입찰서마감일자개찰일자개찰장소명추정가격(배정금액)공동수급여부재입찰허용여부
0나라장터(G2B)물품긴급20210308661020210305노후 민방위 경보단말(사이렌) 제조구매설치(교체)대전광역시대전광역시대전광역시 공고 제2021-540호전자입찰제한(총액)202103092021031120210311국가종합전자조달시스템(나라장터)159670000NY
1나라장터(G2B)물품긴급20210308745020210305산불전문진화차 제조구매대전광역시대전광역시대전광역시공고 제2021 - 520호전자입찰제한(총액)규격가격동시202103122021031620210316국가종합전자조달시스템(나라장터)681818181NY
2나라장터(G2B)물품긴급20210308689020210305공공이용시설 지원 소방시설(K급 소화기) 제조구매대전광역시대전광역시대전광역시공고 제2021 - 558호전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)202103092021031120210311국가종합전자조달시스템(나라장터)29750000NY
3나라장터(G2B)물품긴급20210308674020210305염소용기 계량저울 제조구매설치대전광역시대전광역시대전광역시공고 제2021 - 539호전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)202103092021031120210311국가종합전자조달시스템(나라장터)37600000NY
4나라장터(G2B)물품긴급202103086430202103052021년 제1차 시험연구용 재료 구매(긴급)대전광역시대전광역시대전광역시공고 제2020 - 550호전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)202103092021031120210311국가종합전자조달시스템(나라장터)79405000NY
5나라장터(G2B)물품취소20210308387120210305노후 민방위 경보단말(사이렌) 제조구매설치(교체)대전광역시대전광역시대전광역시 공고 제2021-540호전자입찰제한(총액)202103092021031120210311국가종합전자조달시스템(나라장터)159670000NY
6나라장터(G2B)물품긴급20210305344020210304혈청세척기(세트) 구매설치대전광역시대전광역시대전광역시공고 제2021 - 515호전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)202103082021031020210310국가종합전자조달시스템(나라장터)32727272NY
7나라장터(G2B)물품긴급20210239824020210226대전국제전시컨벤션센터 건립 정보통신공사 관급자재(교환기) 제조구매·설치대전광역시대전광역시대전광역시공고 제2021 - 480호전자입찰제한(총액)202103022021030420210304국가종합전자조달시스템(나라장터)204550000NY
8나라장터(G2B)물품긴급20210239780020210226공공이용시설 지원 소방시설(K급 소화기) 제조구매대전광역시대전광역시대전광역시공고 제2021 - 477호전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)202103032021030520210305국가종합전자조달시스템(나라장터)29750000NY
9나라장터(G2B)물품긴급20210239749020210226자동전기영동기 구매대전광역시대전광역시대전광역시공고 제2021 - 479호전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)202103032021030520210305국가종합전자조달시스템(나라장터)49090909NY
공고등록유형업무구분공고상태입찰공고번호입찰공고차수공고게시일자공고명공고기관명수요기관명연계문서번호입찰방식입찰계약방법입찰서개시일자입찰서마감일자개찰일자개찰장소명추정가격(배정금액)공동수급여부재입찰허용여부
644나라장터(G2B)용역일반20201110773020201110대전광역시 인터넷방송 운영 및 콘텐츠제작 용역(2021~2022년)조달청대전광역시208096801전자입찰일반(총액)협상에의한계약202011202020112420201124국가종합전자조달시스템(나라장터)412174545YN
645나라장터(G2B)용역일반202011103000202011102021년 대전광역시 홈페이지 기능개선 및 유지관리 용역조달청대전광역시206116800전자입찰제한(총액)협상에의한계약202011262020120120201201국가종합전자조달시스템(나라장터)363636364YN
646나라장터(G2B)용역일반202011084330202011092021년도 교통데이터웨어하우스 운영관리 용역조달청대전광역시206115100전자입찰제한(총액)협상에의한계약202012012020120320201203국가종합전자조달시스템(나라장터)235454545YN
647나라장터(G2B)용역긴급20201100001020201104ITS센터 및 현장장비 유지보수 용역조달청대전광역시206109600전자입찰제한(총액)협상에의한계약202011202020112720201127국가종합전자조달시스템(나라장터)2339024545YN
648나라장터(G2B)용역일반20201104207020201104상수도사업본부 정보시스템 통합유지보수용역조달청대전광역시206112100전자입찰제한(총액)협상에의한계약202011192020112520201125국가종합전자조달시스템(나라장터)795830000YN
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