Overview

Dataset statistics

Number of variables21
Number of observations1352
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory228.5 KiB
Average record size in memory173.1 B

Variable types

Categorical12
Text6
Numeric3

Dataset

Description대전광역시 물품계약(관서명, 계약명, 계약금액, 계약일,계약유형, 계약방법, 준공예정일, 준공일자, 계약대상자, 감독부서, 계약서구분, 계약형태 ) 현황 입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15073941/fileData.do

Alerts

계약종류 has constant value ""Constant
계약방법상세 is highly imbalanced (61.6%)Imbalance
공동계약방법 is highly imbalanced (84.6%)Imbalance
장단기구분 is highly imbalanced (97.1%)Imbalance
계약서구분 is highly imbalanced (57.2%)Imbalance
계약형태 is highly imbalanced (50.1%)Imbalance

Reproduction

Analysis started2023-12-12 20:47:59.915772
Analysis finished2023-12-12 20:48:00.881136
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계약관서
Categorical

Distinct25
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
본청
488 
건설관리본부
323 
공원관리사업소
67 
보건환경연구원
65 
한밭수목원
61 
Other values (20)
348 

Length

Max length15
Median length9
Mean length4.6272189
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row건설관리본부
2nd row농업기술센터
3rd row본청
4th row본청
5th row한밭수목원

Common Values

ValueCountFrequency (%)
본청 488
36.1%
건설관리본부 323
23.9%
공원관리사업소 67
 
5.0%
보건환경연구원 65
 
4.8%
한밭수목원 61
 
4.5%
소방본부 43
 
3.2%
하천관리사업소 42
 
3.1%
한밭도서관 37
 
2.7%
대전시립연정국악원 33
 
2.4%
대전예술의전당 32
 
2.4%
Other values (15) 161
 
11.9%

Length

2023-12-13T05:48:00.954313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 488
36.1%
건설관리본부 323
23.9%
공원관리사업소 67
 
5.0%
보건환경연구원 65
 
4.8%
한밭수목원 61
 
4.5%
소방본부 43
 
3.2%
하천관리사업소 42
 
3.1%
한밭도서관 37
 
2.7%
대전시립연정국악원 33
 
2.4%
대전예술의전당 32
 
2.4%
Other values (15) 161
 
11.9%

계약부서
Text

Distinct52
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T05:48:01.160596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length5.2788462
Min length3

Characters and Unicode

Total characters7137
Distinct characters120
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.7%

Sample

1st row건설관리본부
2nd row농업기술센터
3rd row회계과
4th row회계과
5th row한밭수목원
ValueCountFrequency (%)
회계과 343
25.4%
건설관리본부 323
23.9%
공원관리사업소 67
 
5.0%
보건환경연구원 65
 
4.8%
한밭수목원 61
 
4.5%
소방본부 43
 
3.2%
하천관리사업소 42
 
3.1%
한밭도서관 37
 
2.7%
대전시립연정국악원 33
 
2.4%
대전예술의전당 32
 
2.4%
Other values (42) 306
22.6%
2023-12-13T05:48:01.509516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 562
 
7.9%
과 476
 
6.7%
리 443
 
6.2%
부 398
 
5.6%
건 388
 
5.4%
본 368
 
5.2%
회 345
 
4.8%
계 343
 
4.8%
설 323
 
4.5%
원 247
 
3.5%
Other values (110) 3244
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7137
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 562
 
7.9%
과 476
 
6.7%
리 443
 
6.2%
부 398
 
5.6%
건 388
 
5.4%
본 368
 
5.2%
회 345
 
4.8%
계 343
 
4.8%
설 323
 
4.5%
원 247
 
3.5%
Other values (110) 3244
45.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7137
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 562
 
7.9%
과 476
 
6.7%
리 443
 
6.2%
부 398
 
5.6%
건 388
 
5.4%
본 368
 
5.2%
회 345
 
4.8%
계 343
 
4.8%
설 323
 
4.5%
원 247
 
3.5%
Other values (110) 3244
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7137
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 562
 
7.9%
과 476
 
6.7%
리 443
 
6.2%
부 398
 
5.6%
건 388
 
5.4%
본 368
 
5.2%
회 345
 
4.8%
계 343
 
4.8%
설 323
 
4.5%
원 247
 
3.5%
Other values (110) 3244
45.5%

계약번호
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
202000000000
1022 
202100000000
330 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202000000000
2nd row202000000000
3rd row202000000000
4th row202000000000
5th row202000000000

Common Values

ValueCountFrequency (%)
202000000000 1022
75.6%
202100000000 330
 
24.4%

Length

2023-12-13T05:48:01.635710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:01.722179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202000000000 1022
75.6%
202100000000 330
 
24.4%

계약년도
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2020
1022 
2021
330 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 1022
75.6%
2021 330
 
24.4%

Length

2023-12-13T05:48:01.838413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:01.938157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 1022
75.6%
2021 330
 
24.4%

계약명
Text

Distinct1323
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T05:48:02.129741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length37
Mean length28.141272
Min length4

Characters and Unicode

Total characters38047
Distinct characters655
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1299 ?
Unique (%)96.1%

Sample

1st row홍도과선교 개량공사 관급자재 구입(스틸그레이팅, 2020년 연부액)/11841
2nd row퇴비부숙도 측정 검사키트 구입 지출품의
3rd row코로나-19 대응 의료기관 스마트가든볼 조성사업 관급자재(퍼걸러)구매
4th row무인교통단속카메라 설치(구즉로삼거리) 구매
5th row2021년 봄꽃 생산을 위한 종자 구입
ValueCountFrequency (%)
구입 329
 
4.8%
구매 226
 
3.3%
제작 178
 
2.6%
및 101
 
1.5%
2020년 101
 
1.5%
등 83
 
1.2%
2021년 69
 
1.0%
건립 53
 
0.8%
집행품의 44
 
0.6%
관급자재 43
 
0.6%
Other values (2734) 5643
82.1%
2023-12-13T05:48:02.512292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5560
 
14.6%
구 1232
 
3.2%
( 860
 
2.3%
) 860
 
2.3%
2 780
 
2.1%
사 689
 
1.8%
관 657
 
1.7%
자 650
 
1.7%
재 590
 
1.6%
0 589
 
1.5%
Other values (645) 25580
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26416
69.4%
Space Separator 5560
 
14.6%
Decimal Number 3048
 
8.0%
Open Punctuation 947
 
2.5%
Close Punctuation 946
 
2.5%
Uppercase Letter 505
 
1.3%
Other Punctuation 413
 
1.1%
Lowercase Letter 102
 
0.3%
Dash Punctuation 69
 
0.2%
Math Symbol 34
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1232
 
4.7%
사 689
 
2.6%
관 657
 
2.5%
자 650
 
2.5%
재 590
 
2.2%
공 576
 
2.2%
입 559
 
2.1%
매 511
 
1.9%
전 485
 
1.8%
급 484
 
1.8%
Other values (567) 19983
75.6%
Uppercase Letter
ValueCountFrequency (%)
C 71
14.1%
D 53
10.5%
L 44
 
8.7%
T 44
 
8.7%
E 43
 
8.5%
A 30
 
5.9%
B 28
 
5.5%
R 26
 
5.1%
V 25
 
5.0%
P 24
 
4.8%
Other values (13) 117
23.2%
Lowercase Letter
ValueCountFrequency (%)
e 24
23.5%
o 11
10.8%
a 9
 
8.8%
n 7
 
6.9%
i 6
 
5.9%
w 6
 
5.9%
l 5
 
4.9%
t 4
 
3.9%
r 4
 
3.9%
b 4
 
3.9%
Other values (12) 22
21.6%
Decimal Number
ValueCountFrequency (%)
2 780
25.6%
0 589
19.3%
1 473
15.5%
3 259
 
8.5%
4 213
 
7.0%
9 187
 
6.1%
5 154
 
5.1%
7 147
 
4.8%
6 127
 
4.2%
8 119
 
3.9%
Other Punctuation
ValueCountFrequency (%)
/ 301
72.9%
, 65
 
15.7%
· 32
 
7.7%
. 8
 
1.9%
' 6
 
1.5%
: 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 860
90.8%
「 71
 
7.5%
[ 14
 
1.5%
『 1
 
0.1%
《 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 860
90.9%
」 70
 
7.4%
] 14
 
1.5%
』 1
 
0.1%
》 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 25
73.5%
> 4
 
11.8%
< 4
 
11.8%
+ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
5560
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26416
69.4%
Common 11024
29.0%
Latin 607
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1232
 
4.7%
사 689
 
2.6%
관 657
 
2.5%
자 650
 
2.5%
재 590
 
2.2%
공 576
 
2.2%
입 559
 
2.1%
매 511
 
1.9%
전 485
 
1.8%
급 484
 
1.8%
Other values (567) 19983
75.6%
Latin
ValueCountFrequency (%)
C 71
 
11.7%
D 53
 
8.7%
L 44
 
7.2%
T 44
 
7.2%
E 43
 
7.1%
A 30
 
4.9%
B 28
 
4.6%
R 26
 
4.3%
V 25
 
4.1%
P 24
 
4.0%
Other values (35) 219
36.1%
Common
ValueCountFrequency (%)
5560
50.4%
( 860
 
7.8%
) 860
 
7.8%
2 780
 
7.1%
0 589
 
5.3%
1 473
 
4.3%
/ 301
 
2.7%
3 259
 
2.3%
4 213
 
1.9%
9 187
 
1.7%
Other values (23) 942
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26412
69.4%
ASCII 11454
30.1%
None 177
 
0.5%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5560
48.5%
( 860
 
7.5%
) 860
 
7.5%
2 780
 
6.8%
0 589
 
5.1%
1 473
 
4.1%
/ 301
 
2.6%
3 259
 
2.3%
4 213
 
1.9%
9 187
 
1.6%
Other values (61) 1372
 
12.0%
Hangul
ValueCountFrequency (%)
구 1232
 
4.7%
사 689
 
2.6%
관 657
 
2.5%
자 650
 
2.5%
재 590
 
2.2%
공 576
 
2.2%
입 559
 
2.1%
매 511
 
1.9%
전 485
 
1.8%
급 484
 
1.8%
Other values (566) 19979
75.6%
None
ValueCountFrequency (%)
「 71
40.1%
」 70
39.5%
· 32
18.1%
『 1
 
0.6%
』 1
 
0.6%
《 1
 
0.6%
》 1
 
0.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

계약종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
물품
1352 

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 (%)
물품 1352
100.0%

Length

2023-12-13T05:48:02.641484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:02.742617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 1352
100.0%

계약유형
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
구매
919 
관급자재구매
283 
제조구매
92 
인쇄
 
48
수리/수선
 
10

Length

Max length6
Median length2
Mean length2.9955621
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관급자재구매
2nd row구매
3rd row관급자재구매
4th row관급자재구매
5th row구매

Common Values

ValueCountFrequency (%)
구매 919
68.0%
관급자재구매 283
 
20.9%
제조구매 92
 
6.8%
인쇄 48
 
3.6%
수리/수선 10
 
0.7%

Length

2023-12-13T05:48:03.134558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:03.250522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구매 919
68.0%
관급자재구매 283
 
20.9%
제조구매 92
 
6.8%
인쇄 48
 
3.6%
수리/수선 10
 
0.7%

계약방법
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
수의1인견적
727 
일반경쟁
561 
수의2인이상견적
 
38
제한경쟁
 
25
지명경쟁
 
1

Length

Max length8
Median length6
Mean length5.1878698
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row일반경쟁
2nd row수의1인견적
3rd row일반경쟁
4th row일반경쟁
5th row수의1인견적

Common Values

ValueCountFrequency (%)
수의1인견적 727
53.8%
일반경쟁 561
41.5%
수의2인이상견적 38
 
2.8%
제한경쟁 25
 
1.8%
지명경쟁 1
 
0.1%

Length

2023-12-13T05:48:03.391774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:03.511740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 727
53.8%
일반경쟁 561
41.5%
수의2인이상견적 38
 
2.8%
제한경쟁 25
 
1.8%
지명경쟁 1
 
0.1%

계약방법상세
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
소액수의
707 
일반경쟁
561 
기타
 
15
국가기관, 다른지자체
 
15
중소기업+지역제한
 
11
Other values (9)
 
43

Length

Max length38
Median length4
Mean length4.2455621
Min length2

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row일반경쟁
2nd row소액수의
3rd row일반경쟁
4th row일반경쟁
5th row소액수의

Common Values

ValueCountFrequency (%)
소액수의 707
52.3%
일반경쟁 561
41.5%
기타 15
 
1.1%
국가기관, 다른지자체 15
 
1.1%
중소기업+지역제한 11
 
0.8%
특허공법, 신기술 11
 
0.8%
재공고입찰수의 10
 
0.7%
재해복구 8
 
0.6%
중소기업자 5
 
0.4%
지역제한 4
 
0.3%
Other values (4) 5
 
0.4%

Length

2023-12-13T05:48:03.633670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소액수의 707
50.4%
일반경쟁 561
40.0%
기타 15
 
1.1%
국가기관 15
 
1.1%
다른지자체 15
 
1.1%
중소기업+지역제한 11
 
0.8%
특허공법 11
 
0.8%
신기술 11
 
0.8%
재공고입찰수의 10
 
0.7%
재해복구 8
 
0.6%
Other values (17) 40
 
2.8%

공동계약방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
단독이행
1303 
분담이행
 
43
공동이행
 
6

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단독이행 1303
96.4%
분담이행 43
 
3.2%
공동이행 6
 
0.4%

Length

2023-12-13T05:48:03.774110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:03.904821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독이행 1303
96.4%
분담이행 43
 
3.2%
공동이행 6
 
0.4%

계약일자
Real number (ℝ)

Distinct112
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20203295
Minimum20201005
Maximum20210309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2023-12-13T05:48:04.084616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201005
5-th percentile20201013
Q120201109
median20201203
Q320201229
95-th percentile20210224
Maximum20210309
Range9304
Interquartile range (IQR)120.25

Descriptive statistics

Standard deviation3863.0565
Coefficient of variation (CV)0.00019120923
Kurtosis-0.4976219
Mean20203295
Median Absolute Deviation (MAD)93
Skewness1.2251397
Sum2.7314855 × 1010
Variance14923205
MonotonicityNot monotonic
2023-12-13T05:48:04.241793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201202 42
 
3.1%
20201207 37
 
2.7%
20201203 31
 
2.3%
20201214 30
 
2.2%
20201126 28
 
2.1%
20201023 26
 
1.9%
20201218 25
 
1.8%
20201215 25
 
1.8%
20201117 23
 
1.7%
20201210 23
 
1.7%
Other values (102) 1062
78.6%
ValueCountFrequency (%)
20201005 12
0.9%
20201006 7
 
0.5%
20201007 14
1.0%
20201008 19
1.4%
20201012 9
0.7%
20201013 12
0.9%
20201014 3
 
0.2%
20201015 8
0.6%
20201016 7
 
0.5%
20201019 18
1.3%
ValueCountFrequency (%)
20210309 5
 
0.4%
20210308 12
0.9%
20210305 5
 
0.4%
20210304 7
 
0.5%
20210303 11
0.8%
20210302 13
1.0%
20210226 4
 
0.3%
20210225 3
 
0.2%
20210224 18
1.3%
20210223 6
 
0.4%

최초계약금액
Text

Distinct1150
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T05:48:04.611865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.3461538
Min length6

Characters and Unicode

Total characters12636
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1038 ?
Unique (%)76.8%

Sample

1st row72,301,200
2nd row9,680,000
3rd row40,000,000
4th row35,354,000
5th row3,104,400
ValueCountFrequency (%)
5,000,000 8
 
0.6%
4,000,000 8
 
0.6%
4,800,000 8
 
0.6%
4,950,000 8
 
0.6%
3,000,000 7
 
0.5%
4,400,000 6
 
0.4%
4,900,000 6
 
0.4%
4,500,000 6
 
0.4%
5,500,000 6
 
0.4%
3,300,000 5
 
0.4%
Other values (1140) 1284
95.0%
2023-12-13T05:48:05.123994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4655
36.8%
, 2637
20.9%
1 715
 
5.7%
4 709
 
5.6%
5 675
 
5.3%
2 622
 
4.9%
3 584
 
4.6%
6 552
 
4.4%
9 529
 
4.2%
8 520
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9999
79.1%
Other Punctuation 2637
 
20.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4655
46.6%
1 715
 
7.2%
4 709
 
7.1%
5 675
 
6.8%
2 622
 
6.2%
3 584
 
5.8%
6 552
 
5.5%
9 529
 
5.3%
8 520
 
5.2%
7 438
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 2637
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12636
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4655
36.8%
, 2637
20.9%
1 715
 
5.7%
4 709
 
5.6%
5 675
 
5.3%
2 622
 
4.9%
3 584
 
4.6%
6 552
 
4.4%
9 529
 
4.2%
8 520
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4655
36.8%
, 2637
20.9%
1 715
 
5.7%
4 709
 
5.6%
5 675
 
5.3%
2 622
 
4.9%
3 584
 
4.6%
6 552
 
4.4%
9 529
 
4.2%
8 520
 
4.1%

계약금액
Text

Distinct1143
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T05:48:05.454261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length9.3010355
Min length1

Characters and Unicode

Total characters12575
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1028 ?
Unique (%)76.0%

Sample

1st row72,301,200
2nd row9,680,000
3rd row40,000,000
4th row35,354,000
5th row3,104,400
ValueCountFrequency (%)
4,800,000 8
 
0.6%
5,000,000 8
 
0.6%
4,000,000 8
 
0.6%
4,950,000 8
 
0.6%
0 7
 
0.5%
3,000,000 7
 
0.5%
4,500,000 6
 
0.4%
4,900,000 6
 
0.4%
5,500,000 6
 
0.4%
4,400,000 6
 
0.4%
Other values (1133) 1282
94.8%
2023-12-13T05:48:05.915569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4633
36.8%
, 2623
20.9%
1 713
 
5.7%
4 709
 
5.6%
5 664
 
5.3%
2 628
 
5.0%
3 588
 
4.7%
6 541
 
4.3%
9 523
 
4.2%
8 517
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9952
79.1%
Other Punctuation 2623
 
20.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4633
46.6%
1 713
 
7.2%
4 709
 
7.1%
5 664
 
6.7%
2 628
 
6.3%
3 588
 
5.9%
6 541
 
5.4%
9 523
 
5.3%
8 517
 
5.2%
7 436
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 2623
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12575
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4633
36.8%
, 2623
20.9%
1 713
 
5.7%
4 709
 
5.6%
5 664
 
5.3%
2 628
 
5.0%
3 588
 
4.7%
6 541
 
4.3%
9 523
 
4.2%
8 517
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4633
36.8%
, 2623
20.9%
1 713
 
5.7%
4 709
 
5.6%
5 664
 
5.3%
2 628
 
5.0%
3 588
 
4.7%
6 541
 
4.3%
9 523
 
4.2%
8 517
 
4.1%

준공예정일자
Real number (ℝ)

Distinct244
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20205998
Minimum20201007
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2023-12-13T05:48:06.046953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201007
5-th percentile20201105
Q120201210
median20201231
Q320210314
95-th percentile20211206
Maximum20221130
Range20123
Interquartile range (IQR)9104

Descriptive statistics

Standard deviation5137.1409
Coefficient of variation (CV)0.00025423842
Kurtosis-0.72602797
Mean20205998
Median Absolute Deviation (MAD)216
Skewness0.45899182
Sum2.7318509 × 1010
Variance26390217
MonotonicityNot monotonic
2023-12-13T05:48:06.216599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201228 48
 
3.6%
20210630 36
 
2.7%
20201231 33
 
2.4%
20201224 33
 
2.4%
20201218 28
 
2.1%
20201229 23
 
1.7%
20201130 22
 
1.6%
20201221 22
 
1.6%
20201113 22
 
1.6%
20201214 21
 
1.6%
Other values (234) 1064
78.7%
ValueCountFrequency (%)
20201007 1
 
0.1%
20201008 2
 
0.1%
20201012 1
 
0.1%
20201013 3
0.2%
20201014 1
 
0.1%
20201016 2
 
0.1%
20201019 2
 
0.1%
20201020 6
0.4%
20201021 1
 
0.1%
20201022 4
0.3%
ValueCountFrequency (%)
20221130 1
 
0.1%
20220731 1
 
0.1%
20220430 1
 
0.1%
20220415 7
0.5%
20220331 13
1.0%
20220228 2
 
0.1%
20220225 2
 
0.1%
20220219 3
 
0.2%
20220128 2
 
0.1%
20220125 3
 
0.2%

준공일자
Real number (ℝ)

Distinct243
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20205985
Minimum20201008
Maximum20221130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.0 KiB
2023-12-13T05:48:06.399766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201008
5-th percentile20201105
Q120201210
median20201231
Q320210316
95-th percentile20211206
Maximum20221130
Range20122
Interquartile range (IQR)9106.25

Descriptive statistics

Standard deviation5138.0294
Coefficient of variation (CV)0.00025428255
Kurtosis-0.72236953
Mean20205985
Median Absolute Deviation (MAD)212
Skewness0.46448387
Sum2.7318491 × 1010
Variance26399346
MonotonicityNot monotonic
2023-12-13T05:48:06.546564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20201228 47
 
3.5%
20210630 36
 
2.7%
20201231 34
 
2.5%
20201224 33
 
2.4%
20201218 26
 
1.9%
20201214 23
 
1.7%
20201221 22
 
1.6%
20210401 22
 
1.6%
20201130 21
 
1.6%
20211231 21
 
1.6%
Other values (233) 1067
78.9%
ValueCountFrequency (%)
20201008 2
 
0.1%
20201012 1
 
0.1%
20201013 2
 
0.1%
20201014 2
 
0.1%
20201016 2
 
0.1%
20201019 2
 
0.1%
20201020 6
0.4%
20201021 1
 
0.1%
20201022 4
0.3%
20201023 7
0.5%
ValueCountFrequency (%)
20221130 1
 
0.1%
20220731 1
 
0.1%
20220430 1
 
0.1%
20220415 7
0.5%
20220331 13
1.0%
20220228 2
 
0.1%
20220225 2
 
0.1%
20220219 3
 
0.2%
20220128 2
 
0.1%
20220125 3
 
0.2%

계약상대자
Text

Distinct777
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T05:48:06.794021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length7.5747041
Min length2

Characters and Unicode

Total characters10241
Distinct characters466
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

Unique555 ?
Unique (%)41.1%

Sample

1st row주식회사 에이스그레이팅
2nd row에스티에이코퍼레이션주식회사
3rd row비엔지 주식회사
4th row주식회사 아프로시스템즈
5th row대전꽃농원
ValueCountFrequency (%)
주식회사 257
 
15.5%
대전지방조달청 89
 
5.4%
대전세종충남동부아스콘사업협동조합 19
 
1.1%
디자인애드 14
 
0.8%
주)유선애드플랜 13
 
0.8%
대전세종충남서남부레미콘사업협동조합 12
 
0.7%
유진종합상사 10
 
0.6%
주)동성메디칼 10
 
0.6%
제이코리아 9
 
0.5%
환영철강공업(주 9
 
0.5%
Other values (792) 1220
73.4%
2023-12-13T05:48:07.197340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 694
 
6.8%
사 463
 
4.5%
( 380
 
3.7%
) 379
 
3.7%
회 328
 
3.2%
식 313
 
3.1%
310
 
3.0%
이 271
 
2.6%
스 247
 
2.4%
대 222
 
2.2%
Other values (456) 6634
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9100
88.9%
Open Punctuation 380
 
3.7%
Close Punctuation 379
 
3.7%
Space Separator 310
 
3.0%
Uppercase Letter 41
 
0.4%
Lowercase Letter 18
 
0.2%
Decimal Number 8
 
0.1%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 694
 
7.6%
사 463
 
5.1%
회 328
 
3.6%
식 313
 
3.4%
이 271
 
3.0%
스 247
 
2.7%
대 222
 
2.4%
전 213
 
2.3%
디 166
 
1.8%
인 163
 
1.8%
Other values (416) 6020
66.2%
Uppercase Letter
ValueCountFrequency (%)
O 6
14.6%
A 5
12.2%
T 5
12.2%
J 4
9.8%
K 3
7.3%
S 3
7.3%
E 3
7.3%
C 2
 
4.9%
R 2
 
4.9%
D 2
 
4.9%
Other values (6) 6
14.6%
Lowercase Letter
ValueCountFrequency (%)
o 3
16.7%
e 2
11.1%
d 2
11.1%
y 2
11.1%
u 1
 
5.6%
a 1
 
5.6%
i 1
 
5.6%
s 1
 
5.6%
v 1
 
5.6%
k 1
 
5.6%
Other values (3) 3
16.7%
Other Punctuation
ValueCountFrequency (%)
？ 1
25.0%
. 1
25.0%
, 1
25.0%
& 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
8 2
25.0%
9 2
25.0%
Open Punctuation
ValueCountFrequency (%)
( 380
100.0%
Close Punctuation
ValueCountFrequency (%)
) 379
100.0%
Space Separator
ValueCountFrequency (%)
310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9100
88.9%
Common 1082
 
10.6%
Latin 59
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 694
 
7.6%
사 463
 
5.1%
회 328
 
3.6%
식 313
 
3.4%
이 271
 
3.0%
스 247
 
2.7%
대 222
 
2.4%
전 213
 
2.3%
디 166
 
1.8%
인 163
 
1.8%
Other values (416) 6020
66.2%
Latin
ValueCountFrequency (%)
O 6
 
10.2%
A 5
 
8.5%
T 5
 
8.5%
J 4
 
6.8%
K 3
 
5.1%
o 3
 
5.1%
S 3
 
5.1%
E 3
 
5.1%
e 2
 
3.4%
C 2
 
3.4%
Other values (19) 23
39.0%
Common
ValueCountFrequency (%)
( 380
35.1%
) 379
35.0%
310
28.7%
1 4
 
0.4%
8 2
 
0.2%
9 2
 
0.2%
- 1
 
0.1%
？ 1
 
0.1%
. 1
 
0.1%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9100
88.9%
ASCII 1140
 
11.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 694
 
7.6%
사 463
 
5.1%
회 328
 
3.6%
식 313
 
3.4%
이 271
 
3.0%
스 247
 
2.7%
대 222
 
2.4%
전 213
 
2.3%
디 166
 
1.8%
인 163
 
1.8%
Other values (416) 6020
66.2%
ASCII
ValueCountFrequency (%)
( 380
33.3%
) 379
33.2%
310
27.2%
O 6
 
0.5%
A 5
 
0.4%
T 5
 
0.4%
J 4
 
0.4%
1 4
 
0.4%
K 3
 
0.3%
o 3
 
0.3%
Other values (29) 41
 
3.6%
None
ValueCountFrequency (%)
？ 1
100.0%

감독부서
Text

Distinct79
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
2023-12-13T05:48:07.440353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length5.9260355
Min length3

Characters and Unicode

Total characters8012
Distinct characters152
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

Unique10 ?
Unique (%)0.7%

Sample

1st row건설관리본부
2nd row농업기술센터
3rd row공원녹지과
4th row공공교통정책과
5th row한밭수목원
ValueCountFrequency (%)
건설관리본부 323
23.9%
공원관리사업소 67
 
5.0%
보건환경연구원 65
 
4.8%
한밭수목원 61
 
4.5%
운영지원과 51
 
3.8%
소방본부 43
 
3.2%
하천관리사업소 42
 
3.1%
한밭도서관 37
 
2.7%
관광마케팅과 35
 
2.6%
대전시립연정국악원 33
 
2.4%
Other values (69) 595
44.0%
2023-12-13T05:48:07.838377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 623
 
7.8%
리 459
 
5.7%
과 443
 
5.5%
부 400
 
5.0%
건 397
 
5.0%
본 368
 
4.6%
설 328
 
4.1%
원 297
 
3.7%
소 256
 
3.2%
정 182
 
2.3%
Other values (142) 4259
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8000
99.9%
Uppercase Letter 8
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 623
 
7.8%
리 459
 
5.7%
과 443
 
5.5%
부 400
 
5.0%
건 397
 
5.0%
본 368
 
4.6%
설 328
 
4.1%
원 297
 
3.7%
소 256
 
3.2%
정 182
 
2.3%
Other values (136) 4247
53.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
U 2
25.0%
L 2
25.0%
G 2
25.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8000
99.9%
Latin 8
 
0.1%
Common 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 623
 
7.8%
리 459
 
5.7%
과 443
 
5.5%
부 400
 
5.0%
건 397
 
5.0%
본 368
 
4.6%
설 328
 
4.1%
원 297
 
3.7%
소 256
 
3.2%
정 182
 
2.3%
Other values (136) 4247
53.1%
Latin
ValueCountFrequency (%)
C 2
25.0%
U 2
25.0%
L 2
25.0%
G 2
25.0%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8000
99.9%
ASCII 12
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 623
 
7.8%
리 459
 
5.7%
과 443
 
5.5%
부 400
 
5.0%
건 397
 
5.0%
본 368
 
4.6%
설 328
 
4.1%
원 297
 
3.7%
소 256
 
3.2%
정 182
 
2.3%
Other values (136) 4247
53.1%
ASCII
ValueCountFrequency (%)
C 2
16.7%
( 2
16.7%
U 2
16.7%
L 2
16.7%
G 2
16.7%
) 2
16.7%

장단기구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
단년
1348 
장기
 
4

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단년 1348
99.7%
장기 4
 
0.3%

Length

2023-12-13T05:48:07.992528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:08.114737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단년 1348
99.7%
장기 4
 
0.3%

조달구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
자체(전자)
648 
조달
472 
자체(수기)
232 

Length

Max length6
Median length6
Mean length4.6035503
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조달
2nd row자체(수기)
3rd row조달
4th row조달
5th row자체(전자)

Common Values

ValueCountFrequency (%)
자체(전자) 648
47.9%
조달 472
34.9%
자체(수기) 232
 
17.2%

Length

2023-12-13T05:48:08.303287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:08.443886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체(전자 648
47.9%
조달 472
34.9%
자체(수기 232
 
17.2%

계약서구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
전자계약
1074 
서면계약
178 
승낙사항
 
80
기타
 
13
각서
 
7

Length

Max length4
Median length4
Mean length3.9704142
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전자계약
2nd row서면계약
3rd row전자계약
4th row전자계약
5th row서면계약

Common Values

ValueCountFrequency (%)
전자계약 1074
79.4%
서면계약 178
 
13.2%
승낙사항 80
 
5.9%
기타 13
 
1.0%
각서 7
 
0.5%

Length

2023-12-13T05:48:08.609405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:08.758556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자계약 1074
79.4%
서면계약 178
 
13.2%
승낙사항 80
 
5.9%
기타 13
 
1.0%
각서 7
 
0.5%

계약형태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.7 KiB
총액계약
790 
조달청제3자단가
525 
조달청단가계약
 
24
시·도지사제3자단가
 
8
단가계약
 
5

Length

Max length10
Median length4
Mean length5.6420118
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조달청제3자단가
2nd row총액계약
3rd row조달청제3자단가
4th row조달청제3자단가
5th row총액계약

Common Values

ValueCountFrequency (%)
총액계약 790
58.4%
조달청제3자단가 525
38.8%
조달청단가계약 24
 
1.8%
시·도지사제3자단가 8
 
0.6%
단가계약 5
 
0.4%

Length

2023-12-13T05:48:08.925554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:09.063120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액계약 790
58.4%
조달청제3자단가 525
38.8%
조달청단가계약 24
 
1.8%
시·도지사제3자단가 8
 
0.6%
단가계약 5
 
0.4%

Sample

계약관서계약부서계약번호계약년도계약명계약종류계약유형계약방법계약방법상세공동계약방법계약일자최초계약금액계약금액준공예정일자준공일자계약상대자감독부서장단기구분조달구분계약서구분계약형태
0건설관리본부건설관리본부2020000000002020홍도과선교 개량공사 관급자재 구입(스틸그레이팅, 2020년 연부액)/11841물품관급자재구매일반경쟁일반경쟁단독이행2020101472,301,20072,301,2002021022820210228주식회사 에이스그레이팅건설관리본부단년조달전자계약조달청제3자단가
1농업기술센터농업기술센터2020000000002020퇴비부숙도 측정 검사키트 구입 지출품의물품구매수의1인견적소액수의단독이행202010069,680,0009,680,0002020103020201030에스티에이코퍼레이션주식회사농업기술센터단년자체(수기)서면계약총액계약
2본청회계과2020000000002020코로나-19 대응 의료기관 스마트가든볼 조성사업 관급자재(퍼걸러)구매물품관급자재구매일반경쟁일반경쟁단독이행2020100540,000,00040,000,0002020120420201204비엔지 주식회사공원녹지과단년조달전자계약조달청제3자단가
3본청회계과2020000000002020무인교통단속카메라 설치(구즉로삼거리) 구매물품관급자재구매일반경쟁일반경쟁단독이행2020100535,354,00035,354,0002021010320210103주식회사 아프로시스템즈공공교통정책과단년조달전자계약조달청제3자단가
4한밭수목원한밭수목원20200000000020202021년 봄꽃 생산을 위한 종자 구입물품구매수의1인견적소액수의단독이행202010063,104,4003,104,4002020101220201012대전꽃농원한밭수목원단년자체(전자)서면계약총액계약
5공원관리사업소공원관리사업소2020000000002020그래픽프로그램(AutoCAD) 임차 집행품의물품구매수의1인견적소액수의단독이행20201006486,610484,0002020110520201105대전지방조달청공원관리사업소단년자체(전자)전자계약총액계약
6본청회계과20200000000020202020 외국인 생활안내책자(Living in Daejeon) 제작물품구매수의2인이상견적소액수의단독이행2020100542,310,00042,310,0002020121420201214청사커뮤니케이션국제협력담당관단년자체(전자)전자계약총액계약
7본청회계과2020000000002020산불감시카메라 정비 및 운영시스템 성능개선 부품 구입물품구매수의1인견적소액수의단독이행202010059,143,7509,143,7502020102620201026주식회사 센텍공원녹지과단년자체(전자)전자계약총액계약
8본청회계과20200000000020202020년 제3회 추가경정 예산서 인쇄물품인쇄수의1인견적소액수의단독이행202010055,300,0005,300,0002020100820201008홍원인쇄사예산담당관단년자체(전자)전자계약총액계약
9보건환경연구원보건환경연구원2020000000002020감염병검사과 사무용 물품(냉장고,레이저프린터,문서세단기) 구입물품구매일반경쟁일반경쟁공동이행202010051,712,0001,712,0002020102620201026삼성전자 주식회사보건환경연구원단년조달전자계약조달청제3자단가
계약관서계약부서계약번호계약년도계약명계약종류계약유형계약방법계약방법상세공동계약방법계약일자최초계약금액계약금액준공예정일자준공일자계약상대자감독부서장단기구분조달구분계약서구분계약형태
1342시립미술관시립미술관2021000000002021<상실, 나에게 일어난 모든 일> 디자인 및 인쇄홍보물 제작물품제조구매수의1인견적소액수의단독이행2021011213,830,00013,830,0002021032620210326슬로먼트시립미술관단년자체(전자)전자계약총액계약
1343의회사무처의회사무처20210000000020212021년도 「대전의정소식」 제조 구매 집행품의물품제조구매제한경쟁중소기업+지역제한단독이행2021010457,196,00057,196,0002021010420210104천명프린텍의회사무처단년조달전자계약총액계약
1344본청회계과2021000000002021시립산성종합복지관 장애인승강기 구매설치물품구매일반경쟁일반경쟁단독이행2021030358,300,00058,300,0002021070120210701성광엘리베이터(주)장애인복지과단년조달전자계약조달청제3자단가
1345하천관리사업소하천관리사업소20200000000020202020년 하천시설물 긴급보수(연간단가) 2차 관급자재(탄성포장재)물품구매일반경쟁일반경쟁단독이행202012283,451,0003,451,0002021043020210430대전지방조달청하천관리사업소단년자체(전자)전자계약조달청제3자단가
1346건설관리본부건설관리본부2020000000002020반려동물공원 조성공사 관급자재(초기우수처리시설) 구매/37366물품관급자재구매일반경쟁일반경쟁단독이행20201207109,116,000109,116,0002021061220210612피앤아이휴먼코리아건설관리본부단년조달전자계약조달청제3자단가
1347건설관리본부건설관리본부2020000000002020도심형 산업지원 플랫폼 건립 기계설비공사 관급자재(승객용 엘리베이터) 구매설치물품구매일반경쟁일반경쟁단독이행20201210194,985,000194,985,0002021121720211217그린엘리베이터(주)건설관리본부단년조달전자계약조달청제3자단가
1348건설관리본부건설관리본부2020000000002020「대흥교 내진성능보강공사」관급자재(교량받침) 구매/25297물품구매일반경쟁일반경쟁단독이행2020111185,110,00085,110,0002021063020210630대창이엔지(주)건설관리본부단년조달전자계약조달청제3자단가
1349대전시립연정국악원대전시립연정국악원2021000000002021국악단 2021년 연간공연 옥외 현수막 제작물품제조구매수의1인견적소액수의단독이행202101147,035,0007,035,0002021121720211217디자인원플러스대전시립연정국악원단년자체(전자)전자계약총액계약
1350본청회계과2020000000002020대전역주변 관광자원화사업 리모델링 통신공사 관급자재(전관방송) 구매물품관급자재구매일반경쟁일반경쟁분담이행2020121610,287,40010,287,4002021061120210611해찬시스템지역공동체과단년조달전자계약조달청제3자단가
1351본청회계과2021000000002021대화동 근로자복지회관 사무용 컴퓨터 구매물품구매일반경쟁일반경쟁단독이행202103092,200,0002,200,0002021032420210324주식회사 삼보컴퓨터일자리노동경제과단년조달전자계약조달청제3자단가