Overview

Dataset statistics

Number of variables22
Number of observations990
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory176.1 KiB
Average record size in memory182.1 B

Variable types

Categorical12
Numeric5
Text5

Dataset

Description대전광역시 용역계약(관서명, 계약명, 계약금액, 계약일, 계약대상자) 현황 입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15073942/fileData.do

Alerts

계약종류 has constant value ""Constant
계약유형 is highly imbalanced (67.8%)Imbalance
계약방법상세 is highly imbalanced (75.1%)Imbalance
공동계약방법 is highly imbalanced (90.6%)Imbalance
장단기구분 is highly imbalanced (86.9%)Imbalance
계약서구분 is highly imbalanced (61.0%)Imbalance
계약형태 is highly imbalanced (95.3%)Imbalance
계약번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:24:26.355833
Analysis finished2023-12-12 19:24:27.134519
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계약관서
Categorical

Distinct23
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
본청
379 
건설관리본부
180 
공원관리사업소
82 
보건환경연구원
50 
여성가족원
 
36
Other values (18)
263 

Length

Max length15
Median length9
Mean length4.8282828
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보건환경연구원
2nd row대전시립연정국악원
3rd row대전시립연정국악원
4th row본청
5th row본청

Common Values

ValueCountFrequency (%)
본청 379
38.3%
건설관리본부 180
18.2%
공원관리사업소 82
 
8.3%
보건환경연구원 50
 
5.1%
여성가족원 36
 
3.6%
시립미술관 36
 
3.6%
한밭도서관 26
 
2.6%
대전예술의전당 23
 
2.3%
오정농수산물도매시장관리사업소 20
 
2.0%
인재개발원 20
 
2.0%
Other values (13) 138
 
13.9%

Length

2023-12-13T04:24:27.230796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 379
38.3%
건설관리본부 180
18.2%
공원관리사업소 82
 
8.3%
보건환경연구원 50
 
5.1%
여성가족원 36
 
3.6%
시립미술관 36
 
3.6%
한밭도서관 26
 
2.6%
대전예술의전당 23
 
2.3%
오정농수산물도매시장관리사업소 20
 
2.0%
인재개발원 20
 
2.0%
Other values (13) 138
 
13.9%

계약부서
Categorical

Distinct40
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
회계과
236 
건설관리본부
180 
공원관리사업소
82 
안전정책과
67 
보건환경연구원
50 
Other values (35)
375 

Length

Max length15
Median length9
Mean length5.5414141
Min length3

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row보건환경연구원
2nd row대전시립연정국악원
3rd row대전시립연정국악원
4th row회계과
5th row회계과

Common Values

ValueCountFrequency (%)
회계과 236
23.8%
건설관리본부 180
18.2%
공원관리사업소 82
 
8.3%
안전정책과 67
 
6.8%
보건환경연구원 50
 
5.1%
시립미술관 36
 
3.6%
여성가족원 36
 
3.6%
운영지원과 27
 
2.7%
한밭도서관 26
 
2.6%
대전예술의전당 23
 
2.3%
Other values (30) 227
22.9%

Length

2023-12-13T04:24:27.385329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회계과 236
23.8%
건설관리본부 180
18.2%
공원관리사업소 82
 
8.3%
안전정책과 67
 
6.8%
보건환경연구원 50
 
5.1%
시립미술관 36
 
3.6%
여성가족원 36
 
3.6%
운영지원과 27
 
2.7%
한밭도서관 26
 
2.6%
대전예술의전당 23
 
2.3%
Other values (30) 227
22.9%

계약번호
Real number (ℝ)

UNIQUE 

Distinct990
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0205547 × 1011
Minimum2.0200021 × 1011
Maximum2.0210022 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-13T04:24:27.530104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0200021 × 1011
5-th percentile2.0200021 × 1011
Q12.0200022 × 1011
median2.0210021 × 1011
Q32.0210021 × 1011
95-th percentile2.0210021 × 1011
Maximum2.0210022 × 1011
Range1.0000666 × 108
Interquartile range (IQR)99994917

Descriptive statistics

Standard deviation49745806
Coefficient of variation (CV)0.00024619876
Kurtosis-1.9591914
Mean2.0205547 × 1011
Median Absolute Deviation (MAD)910.5
Skewness-0.21159072
Sum2.0003491 × 1014
Variance2.4746452 × 1015
MonotonicityNot monotonic
2023-12-13T04:24:27.761759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202000214304 1
 
0.1%
202000215368 1
 
0.1%
202100210883 1
 
0.1%
202100210243 1
 
0.1%
202100210183 1
 
0.1%
202100210291 1
 
0.1%
202100210234 1
 
0.1%
202100210784 1
 
0.1%
202100210176 1
 
0.1%
202000216036 1
 
0.1%
Other values (980) 980
99.0%
ValueCountFrequency (%)
202000214304 1
0.1%
202000214337 1
0.1%
202000214338 1
0.1%
202000214343 1
0.1%
202000214347 1
0.1%
202000214348 1
0.1%
202000214349 1
0.1%
202000214367 1
0.1%
202000214377 1
0.1%
202000214381 1
0.1%
ValueCountFrequency (%)
202100220962 1
0.1%
202100220802 1
0.1%
202100220786 1
0.1%
202100220771 1
0.1%
202100220678 1
0.1%
202100220674 1
0.1%
202100220527 1
0.1%
202100220437 1
0.1%
202100220286 1
0.1%
202100220226 1
0.1%

계약년도
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2021
547 
2020
443 

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 (%)
2021 547
55.3%
2020 443
44.7%

Length

2023-12-13T04:24:27.963014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:24:28.062965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 547
55.3%
2020 443
44.7%

계약명
Text

Distinct978
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-13T04:24:28.305091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length44
Mean length27.877778
Min length9

Characters and Unicode

Total characters27599
Distinct characters539
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique966 ?
Unique (%)97.6%

Sample

1st row2020년도 12개월 주기 특수건강검진 실시
2nd row2020년 하반기 시설물 정기 안전점검
3rd row국악연주단 제176회 정기공연 [한국무용의 밤] 영상기기 임차
4th row충청·중앙3 생활치료센터 운영 방역소독 용역(10월)
5th row2020년 하반기 중앙로지하도상가 정밀안전점검 용역
ValueCountFrequency (%)
용역 254
 
4.8%
2021년 244
 
4.6%
및 205
 
3.9%
집행품의 154
 
2.9%
실시설계용역 67
 
1.3%
2020년 65
 
1.2%
코로나19 64
 
1.2%
2021년도 54
 
1.0%
제설차(덤프트럭 50
 
0.9%
유지관리 46
 
0.9%
Other values (1756) 4113
77.4%
2023-12-13T04:24:28.713087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4351
 
15.8%
2 969
 
3.5%
역 925
 
3.4%
용 780
 
2.8%
1 551
 
2.0%
0 530
 
1.9%
시 522
 
1.9%
사 442
 
1.6%
기 439
 
1.6%
년 434
 
1.6%
Other values (529) 17656
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19597
71.0%
Space Separator 4351
 
15.8%
Decimal Number 2301
 
8.3%
Open Punctuation 426
 
1.5%
Close Punctuation 426
 
1.5%
Uppercase Letter 186
 
0.7%
Other Punctuation 165
 
0.6%
Lowercase Letter 54
 
0.2%
Math Symbol 47
 
0.2%
Dash Punctuation 43
 
0.2%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 925
 
4.7%
용 780
 
4.0%
시 522
 
2.7%
사 442
 
2.3%
기 439
 
2.2%
년 434
 
2.2%
설 347
 
1.8%
리 343
 
1.8%
전 340
 
1.7%
의 336
 
1.7%
Other values (460) 14689
75.0%
Uppercase Letter
ValueCountFrequency (%)
S 34
18.3%
C 21
11.3%
T 15
 
8.1%
D 13
 
7.0%
I 12
 
6.5%
R 11
 
5.9%
M 11
 
5.9%
B 10
 
5.4%
W 9
 
4.8%
P 9
 
4.8%
Other values (12) 41
22.0%
Lowercase Letter
ValueCountFrequency (%)
e 14
25.9%
o 5
 
9.3%
a 5
 
9.3%
i 5
 
9.3%
s 4
 
7.4%
w 3
 
5.6%
p 2
 
3.7%
j 2
 
3.7%
n 2
 
3.7%
l 2
 
3.7%
Other values (6) 10
18.5%
Decimal Number
ValueCountFrequency (%)
2 969
42.1%
1 551
23.9%
0 530
23.0%
9 93
 
4.0%
3 43
 
1.9%
4 31
 
1.3%
5 27
 
1.2%
7 22
 
1.0%
6 18
 
0.8%
8 17
 
0.7%
Other Punctuation
ValueCountFrequency (%)
' 64
38.8%
/ 39
23.6%
· 30
18.2%
, 27
16.4%
. 4
 
2.4%
: 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 378
88.7%
「 38
 
8.9%
『 6
 
1.4%
[ 4
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 378
88.7%
」 38
 
8.9%
』 6
 
1.4%
] 4
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 35
74.5%
< 6
 
12.8%
> 6
 
12.8%
Space Separator
ValueCountFrequency (%)
4351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19597
71.0%
Common 7762
 
28.1%
Latin 240
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 925
 
4.7%
용 780
 
4.0%
시 522
 
2.7%
사 442
 
2.3%
기 439
 
2.2%
년 434
 
2.2%
설 347
 
1.8%
리 343
 
1.8%
전 340
 
1.7%
의 336
 
1.7%
Other values (460) 14689
75.0%
Latin
ValueCountFrequency (%)
S 34
 
14.2%
C 21
 
8.8%
T 15
 
6.2%
e 14
 
5.8%
D 13
 
5.4%
I 12
 
5.0%
R 11
 
4.6%
M 11
 
4.6%
B 10
 
4.2%
W 9
 
3.8%
Other values (28) 90
37.5%
Common
ValueCountFrequency (%)
4351
56.1%
2 969
 
12.5%
1 551
 
7.1%
0 530
 
6.8%
( 378
 
4.9%
) 378
 
4.9%
9 93
 
1.2%
' 64
 
0.8%
3 43
 
0.6%
- 43
 
0.6%
Other values (21) 362
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19595
71.0%
ASCII 7882
28.6%
None 118
 
0.4%
Compat Jamo 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4351
55.2%
2 969
 
12.3%
1 551
 
7.0%
0 530
 
6.7%
( 378
 
4.8%
) 378
 
4.8%
9 93
 
1.2%
' 64
 
0.8%
3 43
 
0.5%
- 43
 
0.5%
Other values (53) 482
 
6.1%
Hangul
ValueCountFrequency (%)
역 925
 
4.7%
용 780
 
4.0%
시 522
 
2.7%
사 442
 
2.3%
기 439
 
2.2%
년 434
 
2.2%
설 347
 
1.8%
리 343
 
1.8%
전 340
 
1.7%
의 336
 
1.7%
Other values (459) 14687
75.0%
None
ValueCountFrequency (%)
」 38
32.2%
「 38
32.2%
· 30
25.4%
『 6
 
5.1%
』 6
 
5.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

계약종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
용역
990 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
용역 990
100.0%

Length

2023-12-13T04:24:28.856549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:24:28.949425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용역 990
100.0%

계약유형
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
일반
835 
기술
 
43
수리/수선
 
42
폐기물
 
26
건설기술
 
19
Other values (4)
 
25

Length

Max length5
Median length2
Mean length2.2191919
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반
2nd row일반
3rd row일반
4th row일반
5th row기술

Common Values

ValueCountFrequency (%)
일반 835
84.3%
기술 43
 
4.3%
수리/수선 42
 
4.2%
폐기물 26
 
2.6%
건설기술 19
 
1.9%
건축설계 12
 
1.2%
학술 8
 
0.8%
정보화 3
 
0.3%
기타 2
 
0.2%

Length

2023-12-13T04:24:29.051241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:24:29.190234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 835
84.3%
기술 43
 
4.3%
수리/수선 42
 
4.2%
폐기물 26
 
2.6%
건설기술 19
 
1.9%
건축설계 12
 
1.2%
학술 8
 
0.8%
정보화 3
 
0.3%
기타 2
 
0.2%

계약방법
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
수의1인견적
764 
수의2인이상견적
118 
제한경쟁
 
60
일반경쟁
 
48

Length

Max length8
Median length6
Mean length6.020202
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수의1인견적 764
77.2%
수의2인이상견적 118
 
11.9%
제한경쟁 60
 
6.1%
일반경쟁 48
 
4.8%

Length

2023-12-13T04:24:29.345622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:24:29.510657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 764
77.2%
수의2인이상견적 118
 
11.9%
제한경쟁 60
 
6.1%
일반경쟁 48
 
4.8%

계약방법상세
Categorical

IMBALANCE 

Distinct15
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
소액수의
853 
일반경쟁
 
48
지역제한+특수한 기술 또는 공법 공사 / 지역제한+실적
 
28
지역제한
 
17
기타
 
13
Other values (10)
 
31

Length

Max length38
Median length4
Mean length4.989899
Min length2

Unique

Unique4 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
소액수의 853
86.2%
일반경쟁 48
 
4.8%
지역제한+특수한 기술 또는 공법 공사 / 지역제한+실적 28
 
2.8%
지역제한 17
 
1.7%
기타 13
 
1.3%
재공고입찰수의 8
 
0.8%
중소기업+지역제한 7
 
0.7%
기타(다른법령위탁대행) 5
 
0.5%
재해복구 3
 
0.3%
지역제한+특수한 기술 또는 공법 공사 / 지역제한+기술 2
 
0.2%
Other values (5) 6
 
0.6%

Length

2023-12-13T04:24:29.644031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소액수의 853
71.0%
일반경쟁 48
 
4.0%
35
 
2.9%
공사 34
 
2.8%
기술 32
 
2.7%
또는 32
 
2.7%
공법 32
 
2.7%
지역제한+특수한 30
 
2.5%
지역제한+실적 28
 
2.3%
지역제한 17
 
1.4%
Other values (20) 61
 
5.1%

공동계약방법
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
단독이행
964 
공동이행
 
13
혼합(공동+분담)방식
 
6
분담이행
 
6
지역의무+공동이행
 
1

Length

Max length11
Median length4
Mean length4.0474747
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
단독이행 964
97.4%
공동이행 13
 
1.3%
혼합(공동+분담)방식 6
 
0.6%
분담이행 6
 
0.6%
지역의무+공동이행 1
 
0.1%

Length

2023-12-13T04:24:29.801657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:24:29.916356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독이행 964
97.4%
공동이행 13
 
1.3%
혼합(공동+분담)방식 6
 
0.6%
분담이행 6
 
0.6%
지역의무+공동이행 1
 
0.1%

계약일자
Real number (ℝ)

Distinct114
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20204508
Minimum20201005
Maximum20210309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-13T04:24:30.384877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201005
5-th percentile20201015
Q120201127
median20201224
Q320210104
95-th percentile20210223
Maximum20210309
Range9304
Interquartile range (IQR)8977

Descriptive statistics

Standard deviation4352.2621
Coefficient of variation (CV)0.00021541045
Kurtosis-1.7246775
Mean20204508
Median Absolute Deviation (MAD)120
Skewness0.52682473
Sum2.0002463 × 1010
Variance18942186
MonotonicityNot monotonic
2023-12-13T04:24:30.532214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210101 96
 
9.7%
20201231 62
 
6.3%
20201127 36
 
3.6%
20201221 34
 
3.4%
20210104 32
 
3.2%
20201228 27
 
2.7%
20201222 24
 
2.4%
20201209 23
 
2.3%
20201229 17
 
1.7%
20201223 15
 
1.5%
Other values (104) 624
63.0%
ValueCountFrequency (%)
20201005 12
1.2%
20201006 5
0.5%
20201007 3
 
0.3%
20201008 7
0.7%
20201012 7
0.7%
20201013 6
0.6%
20201014 7
0.7%
20201015 8
0.8%
20201016 6
0.6%
20201019 12
1.2%
ValueCountFrequency (%)
20210309 4
 
0.4%
20210308 3
 
0.3%
20210305 3
 
0.3%
20210304 6
0.6%
20210303 2
 
0.2%
20210302 10
1.0%
20210301 1
 
0.1%
20210226 5
0.5%
20210225 7
0.7%
20210224 6
0.6%

최초계약금액
Text

Distinct742
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-13T04:24:30.870012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length10.430303
Min length8

Characters and Unicode

Total characters10326
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique631 ?
Unique (%)63.7%

Sample

1st row5,074,640
2nd row3,740,000
3rd row3,300,000
4th row224,147,570
5th row8,443,600
ValueCountFrequency (%)
8,890,000 25
 
2.5%
4,445,000 25
 
2.5%
3,300,000 15
 
1.5%
3,000,000 7
 
0.7%
1,800,000 6
 
0.6%
1,980,000 6
 
0.6%
1,200,000 5
 
0.5%
5,100,000 5
 
0.5%
8,800,000 5
 
0.5%
4,800,000 5
 
0.5%
Other values (732) 886
89.5%
2023-12-13T04:24:31.386652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3580
34.7%
, 1967
19.0%
990
 
9.6%
1 545
 
5.3%
4 511
 
4.9%
2 462
 
4.5%
5 440
 
4.3%
3 420
 
4.1%
8 412
 
4.0%
6 366
 
3.5%
Other values (2) 633
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7369
71.4%
Other Punctuation 1967
 
19.0%
Space Separator 990
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3580
48.6%
1 545
 
7.4%
4 511
 
6.9%
2 462
 
6.3%
5 440
 
6.0%
3 420
 
5.7%
8 412
 
5.6%
6 366
 
5.0%
9 345
 
4.7%
7 288
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 1967
100.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10326
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3580
34.7%
, 1967
19.0%
990
 
9.6%
1 545
 
5.3%
4 511
 
4.9%
2 462
 
4.5%
5 440
 
4.3%
3 420
 
4.1%
8 412
 
4.0%
6 366
 
3.5%
Other values (2) 633
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10326
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3580
34.7%
, 1967
19.0%
990
 
9.6%
1 545
 
5.3%
4 511
 
4.9%
2 462
 
4.5%
5 440
 
4.3%
3 420
 
4.1%
8 412
 
4.0%
6 366
 
3.5%
Other values (2) 633
 
6.1%

계약금액
Text

Distinct742
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-13T04:24:31.778886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length10.422222
Min length2

Characters and Unicode

Total characters10318
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique632 ?
Unique (%)63.8%

Sample

1st row5,239,390
2nd row3,740,000
3rd row3,300,000
4th row185,759,180
5th row8,443,600
ValueCountFrequency (%)
8,890,000 25
 
2.5%
4,445,000 25
 
2.5%
3,300,000 15
 
1.5%
3,000,000 7
 
0.7%
1,800,000 6
 
0.6%
1,980,000 6
 
0.6%
1,200,000 5
 
0.5%
5,100,000 5
 
0.5%
8,800,000 5
 
0.5%
4,800,000 5
 
0.5%
Other values (732) 886
89.5%
2023-12-13T04:24:32.346472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3605
34.9%
, 1965
19.0%
990
 
9.6%
1 541
 
5.2%
4 497
 
4.8%
2 461
 
4.5%
5 438
 
4.2%
3 420
 
4.1%
8 402
 
3.9%
6 362
 
3.5%
Other values (2) 637
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7363
71.4%
Other Punctuation 1965
 
19.0%
Space Separator 990
 
9.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3605
49.0%
1 541
 
7.3%
4 497
 
6.7%
2 461
 
6.3%
5 438
 
5.9%
3 420
 
5.7%
8 402
 
5.5%
6 362
 
4.9%
9 345
 
4.7%
7 292
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1965
100.0%
Space Separator
ValueCountFrequency (%)
990
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3605
34.9%
, 1965
19.0%
990
 
9.6%
1 541
 
5.2%
4 497
 
4.8%
2 461
 
4.5%
5 438
 
4.2%
3 420
 
4.1%
8 402
 
3.9%
6 362
 
3.5%
Other values (2) 637
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3605
34.9%
, 1965
19.0%
990
 
9.6%
1 541
 
5.2%
4 497
 
4.8%
2 461
 
4.5%
5 438
 
4.2%
3 420
 
4.1%
8 402
 
3.9%
6 362
 
3.5%
Other values (2) 637
 
6.2%

착공일자
Real number (ℝ)

Distinct119
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20206148
Minimum20201005
Maximum20211224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-13T04:24:32.556623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201005
5-th percentile20201019
Q120201130
median20210101
Q320210104
95-th percentile20210226
Maximum20211224
Range10219
Interquartile range (IQR)8974

Descriptive statistics

Standard deviation4478.6689
Coefficient of variation (CV)0.00022164882
Kurtosis-1.9506637
Mean20206148
Median Absolute Deviation (MAD)123
Skewness-0.22793705
Sum2.0004086 × 1010
Variance20058475
MonotonicityNot monotonic
2023-12-13T04:24:32.749755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210101 276
27.9%
20210104 33
 
3.3%
20201201 29
 
2.9%
20201127 25
 
2.5%
20210201 24
 
2.4%
20201212 20
 
2.0%
20201222 16
 
1.6%
20201113 15
 
1.5%
20210301 14
 
1.4%
20210120 13
 
1.3%
Other values (109) 525
53.0%
ValueCountFrequency (%)
20201005 3
 
0.3%
20201006 6
0.6%
20201007 3
 
0.3%
20201008 5
 
0.5%
20201012 12
1.2%
20201013 4
 
0.4%
20201014 7
0.7%
20201015 3
 
0.3%
20201016 6
0.6%
20201019 13
1.3%
ValueCountFrequency (%)
20211224 1
 
0.1%
20210316 1
 
0.1%
20210315 1
 
0.1%
20210311 2
 
0.2%
20210310 1
 
0.1%
20210309 1
 
0.1%
20210308 11
1.1%
20210305 2
 
0.2%
20210304 1
 
0.1%
20210303 7
0.7%

준공예정일자
Real number (ℝ)

Distinct230
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20208081
Minimum20201015
Maximum20231231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-13T04:24:32.942472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201015
5-th percentile20201110
Q120201228
median20210312
Q320211231
95-th percentile20211231
Maximum20231231
Range30216
Interquartile range (IQR)10003

Descriptive statistics

Standard deviation5315.7394
Coefficient of variation (CV)0.00026305018
Kurtosis-0.044450454
Mean20208081
Median Absolute Deviation (MAD)919
Skewness0.076950452
Sum2.0006 × 1010
Variance28257085
MonotonicityNot monotonic
2023-12-13T04:24:33.152603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211231 294
29.7%
20201231 66
 
6.7%
20210228 45
 
4.5%
20210131 21
 
2.1%
20201224 17
 
1.7%
20201130 16
 
1.6%
20201218 11
 
1.1%
20201221 11
 
1.1%
20210217 10
 
1.0%
20201222 10
 
1.0%
Other values (220) 489
49.4%
ValueCountFrequency (%)
20201015 1
 
0.1%
20201016 1
 
0.1%
20201020 1
 
0.1%
20201021 1
 
0.1%
20201022 2
 
0.2%
20201023 5
0.5%
20201024 1
 
0.1%
20201025 2
 
0.2%
20201026 2
 
0.2%
20201027 1
 
0.1%
ValueCountFrequency (%)
20231231 1
 
0.1%
20230213 1
 
0.1%
20221211 2
0.2%
20220912 3
0.3%
20220908 1
 
0.1%
20220830 2
0.2%
20220615 1
 
0.1%
20220614 3
0.3%
20220611 1
 
0.1%
20220531 1
 
0.1%

준공일자
Real number (ℝ)

Distinct225
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20208018
Minimum20201015
Maximum20231231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.8 KiB
2023-12-13T04:24:33.339269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201015
5-th percentile20201108
Q120201224
median20210305
Q320211231
95-th percentile20211231
Maximum20231231
Range30216
Interquartile range (IQR)10006.75

Descriptive statistics

Standard deviation5311.4976
Coefficient of variation (CV)0.0002628411
Kurtosis-0.04858999
Mean20208018
Median Absolute Deviation (MAD)926
Skewness0.088293226
Sum2.0005938 × 1010
Variance28212006
MonotonicityNot monotonic
2023-12-13T04:24:33.529312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211231 279
28.2%
20201231 60
 
6.1%
20210228 47
 
4.7%
20210131 21
 
2.1%
20201130 16
 
1.6%
20201222 13
 
1.3%
20201228 12
 
1.2%
20201224 12
 
1.2%
20201221 12
 
1.2%
20210217 12
 
1.2%
Other values (215) 506
51.1%
ValueCountFrequency (%)
20201015 2
0.2%
20201016 2
0.2%
20201020 2
0.2%
20201021 4
0.4%
20201022 3
0.3%
20201023 4
0.4%
20201025 2
0.2%
20201026 3
0.3%
20201027 1
 
0.1%
20201028 1
 
0.1%
ValueCountFrequency (%)
20231231 1
 
0.1%
20230213 1
 
0.1%
20221211 2
0.2%
20220912 3
0.3%
20220908 1
 
0.1%
20220830 2
0.2%
20220615 1
 
0.1%
20220614 3
0.3%
20220611 1
 
0.1%
20220531 1
 
0.1%

계약상대자
Text

Distinct639
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-13T04:24:33.835699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length8.3464646
Min length2

Characters and Unicode

Total characters8263
Distinct characters413
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique442 ?
Unique (%)44.6%

Sample

1st row근로복지공단 대전병원
2nd row(주)우리엔지니어링
3rd rowEMOTION
4th row주식회사 김정민생활환경
5th row(주)태경이엔지기술사사무소
ValueCountFrequency (%)
주식회사 120
 
10.3%
중앙아스콘(주 13
 
1.1%
주)미성씨앤씨 10
 
0.9%
신세계소방(주 9
 
0.8%
대림공영(주 9
 
0.8%
주)경림엔지니어링 7
 
0.6%
대청보안주식회사 6
 
0.5%
국보환경(주 6
 
0.5%
신도사무기 6
 
0.5%
주)대종종합관리 6
 
0.5%
Other values (660) 972
83.5%
2023-12-13T04:24:34.302176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 604
 
7.3%
) 493
 
6.0%
( 491
 
5.9%
사 328
 
4.0%
이 204
 
2.5%
회 201
 
2.4%
식 176
 
2.1%
174
 
2.1%
스 168
 
2.0%
지 164
 
2.0%
Other values (403) 5260
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7020
85.0%
Close Punctuation 493
 
6.0%
Open Punctuation 491
 
5.9%
Space Separator 174
 
2.1%
Uppercase Letter 58
 
0.7%
Other Punctuation 11
 
0.1%
Lowercase Letter 11
 
0.1%
Decimal Number 2
 
< 0.1%
Math Symbol 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 604
 
8.6%
사 328
 
4.7%
이 204
 
2.9%
회 201
 
2.9%
식 176
 
2.5%
스 168
 
2.4%
지 164
 
2.3%
대 155
 
2.2%
기 148
 
2.1%
엔 135
 
1.9%
Other values (367) 4737
67.5%
Uppercase Letter
ValueCountFrequency (%)
A 8
13.8%
O 7
12.1%
N 6
10.3%
D 5
8.6%
E 5
8.6%
M 4
6.9%
C 4
6.9%
S 4
6.9%
I 4
6.9%
K 2
 
3.4%
Other values (6) 9
15.5%
Lowercase Letter
ValueCountFrequency (%)
m 2
18.2%
g 2
18.2%
i 2
18.2%
r 1
9.1%
n 1
9.1%
s 1
9.1%
e 1
9.1%
a 1
9.1%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
, 4
36.4%
& 1
 
9.1%
/ 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 493
100.0%
Open Punctuation
ValueCountFrequency (%)
( 491
100.0%
Space Separator
ValueCountFrequency (%)
174
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7020
85.0%
Common 1174
 
14.2%
Latin 69
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 604
 
8.6%
사 328
 
4.7%
이 204
 
2.9%
회 201
 
2.9%
식 176
 
2.5%
스 168
 
2.4%
지 164
 
2.3%
대 155
 
2.2%
기 148
 
2.1%
엔 135
 
1.9%
Other values (367) 4737
67.5%
Latin
ValueCountFrequency (%)
A 8
 
11.6%
O 7
 
10.1%
N 6
 
8.7%
D 5
 
7.2%
E 5
 
7.2%
M 4
 
5.8%
C 4
 
5.8%
S 4
 
5.8%
I 4
 
5.8%
m 2
 
2.9%
Other values (14) 20
29.0%
Common
ValueCountFrequency (%)
) 493
42.0%
( 491
41.8%
174
 
14.8%
. 5
 
0.4%
, 4
 
0.3%
& 1
 
0.1%
> 1
 
0.1%
3 1
 
0.1%
1 1
 
0.1%
/ 1
 
0.1%
Other values (2) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7020
85.0%
ASCII 1243
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 604
 
8.6%
사 328
 
4.7%
이 204
 
2.9%
회 201
 
2.9%
식 176
 
2.5%
스 168
 
2.4%
지 164
 
2.3%
대 155
 
2.2%
기 148
 
2.1%
엔 135
 
1.9%
Other values (367) 4737
67.5%
ASCII
ValueCountFrequency (%)
) 493
39.7%
( 491
39.5%
174
 
14.0%
A 8
 
0.6%
O 7
 
0.6%
N 6
 
0.5%
D 5
 
0.4%
. 5
 
0.4%
E 5
 
0.4%
M 4
 
0.3%
Other values (26) 45
 
3.6%

감독부서
Text

Distinct74
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-13T04:24:34.583447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length6.1292929
Min length3

Characters and Unicode

Total characters6068
Distinct characters144
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

Unique7 ?
Unique (%)0.7%

Sample

1st row보건환경연구원
2nd row대전시립연정국악원
3rd row대전시립연정국악원
4th row자치분권과
5th row건설도로과
ValueCountFrequency (%)
건설관리본부 180
18.2%
공원관리사업소 82
 
8.3%
버스운영과 67
 
6.8%
보건환경연구원 50
 
5.1%
운영지원과 41
 
4.1%
시립미술관 36
 
3.6%
여성가족원 36
 
3.6%
한밭도서관 26
 
2.6%
대전예술의전당 23
 
2.3%
공공교통정책과 23
 
2.3%
Other values (64) 426
43.0%
2023-12-13T04:24:35.020038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 430
 
7.1%
과 358
 
5.9%
리 321
 
5.3%
원 270
 
4.4%
건 253
 
4.2%
부 205
 
3.4%
설 203
 
3.3%
본 198
 
3.3%
소 184
 
3.0%
사 158
 
2.6%
Other values (134) 3488
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6062
99.9%
Uppercase Letter 4
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 430
 
7.1%
과 358
 
5.9%
리 321
 
5.3%
원 270
 
4.5%
건 253
 
4.2%
부 205
 
3.4%
설 203
 
3.3%
본 198
 
3.3%
소 184
 
3.0%
사 158
 
2.6%
Other values (128) 3482
57.4%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
C 1
25.0%
U 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6062
99.9%
Latin 4
 
0.1%
Common 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 430
 
7.1%
과 358
 
5.9%
리 321
 
5.3%
원 270
 
4.5%
건 253
 
4.2%
부 205
 
3.4%
설 203
 
3.3%
본 198
 
3.3%
소 184
 
3.0%
사 158
 
2.6%
Other values (128) 3482
57.4%
Latin
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
C 1
25.0%
U 1
25.0%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6062
99.9%
ASCII 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 430
 
7.1%
과 358
 
5.9%
리 321
 
5.3%
원 270
 
4.5%
건 253
 
4.2%
부 205
 
3.4%
설 203
 
3.3%
본 198
 
3.3%
소 184
 
3.0%
사 158
 
2.6%
Other values (128) 3482
57.4%
ASCII
ValueCountFrequency (%)
L 1
16.7%
) 1
16.7%
G 1
16.7%
C 1
16.7%
U 1
16.7%
( 1
16.7%

장단기구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
단년
972 
장기
 
18

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 972
98.2%
장기 18
 
1.8%

Length

2023-12-13T04:24:35.178415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:24:35.271151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단년 972
98.2%
장기 18
 
1.8%

조달구분
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
자체(전자)
771 
자체(수기)
207 
조달
 
12

Length

Max length6
Median length6
Mean length5.9515152
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자체(전자) 771
77.9%
자체(수기) 207
 
20.9%
조달 12
 
1.2%

Length

2023-12-13T04:24:35.380372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:24:35.517322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체(전자 771
77.9%
자체(수기 207
 
20.9%
조달 12
 
1.2%

계약서구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
전자계약
795 
서면계약
136 
승낙사항
 
57
기타
 
1
각서
 
1

Length

Max length4
Median length4
Mean length3.9959596
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
전자계약 795
80.3%
서면계약 136
 
13.7%
승낙사항 57
 
5.8%
기타 1
 
0.1%
각서 1
 
0.1%

Length

2023-12-13T04:24:35.670052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:24:35.858728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자계약 795
80.3%
서면계약 136
 
13.7%
승낙사항 57
 
5.8%
기타 1
 
0.1%
각서 1
 
0.1%

계약형태
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
총액계약
980 
단가계약
 
6
시·도지사제3자단가
 
3
조달청제3자단가
 
1

Length

Max length10
Median length4
Mean length4.0222222
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
총액계약 980
99.0%
단가계약 6
 
0.6%
시·도지사제3자단가 3
 
0.3%
조달청제3자단가 1
 
0.1%

Length

2023-12-13T04:24:35.994678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:24:36.111465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액계약 980
99.0%
단가계약 6
 
0.6%
시·도지사제3자단가 3
 
0.3%
조달청제3자단가 1
 
0.1%

Sample

계약관서계약부서계약번호계약년도계약명계약종류계약유형계약방법계약방법상세공동계약방법계약일자최초계약금액계약금액착공일자준공예정일자준공일자계약상대자감독부서장단기구분조달구분계약서구분계약형태
0보건환경연구원보건환경연구원20200021430420202020년도 12개월 주기 특수건강검진 실시용역일반수의1인견적소액수의단독이행202010055,074,6405,239,390202010082020120720201207근로복지공단 대전병원보건환경연구원단년자체(전자)전자계약총액계약
1대전시립연정국악원대전시립연정국악원20200021433720202020년 하반기 시설물 정기 안전점검용역일반수의1인견적소액수의단독이행202010063,740,0003,740,000202010062020110420201104(주)우리엔지니어링대전시립연정국악원단년자체(수기)승낙사항총액계약
2대전시립연정국악원대전시립연정국악원2020002143382020국악연주단 제176회 정기공연 [한국무용의 밤] 영상기기 임차용역일반수의1인견적소액수의단독이행202010063,300,0003,300,000202010142020101520201015EMOTION대전시립연정국악원단년자체(수기)승낙사항총액계약
3본청회계과2020002143432020충청·중앙3 생활치료센터 운영 방역소독 용역(10월)용역일반수의1인견적재해복구단독이행20201005224,147,570185,759,180202010062020103120201031주식회사 김정민생활환경자치분권과단년자체(전자)전자계약총액계약
4본청회계과20200021434720202020년 하반기 중앙로지하도상가 정밀안전점검 용역용역기술수의1인견적소액수의단독이행202010198,443,6008,443,600202010192020111220201112(주)태경이엔지기술사사무소건설도로과단년자체(전자)전자계약총액계약
5본청회계과2020002143482020테미오래 시설보수·정비사업 지정폐기물 운반 및 처리 용역용역폐기물수의1인견적소액수의단독이행202010051,281,0001,281,000202010052020102420201021유정석면환경 주식회사문화예술정책과단년자체(전자)전자계약총액계약
6한밭도서관한밭도서관2020002143492020한밭도서관 코로나19 확산 예방 방역 및 소독용역일반수의1인견적소액수의단독이행202010069,766,0009,766,000202010062020123120201231(주)미래한밭도서관단년자체(수기)승낙사항총액계약
7노은농수산물도매시장관리사업소노은농수산물도매시장관리사업소2020002143672020채소동 시설물 수리 수선 집행품의용역일반수의1인견적소액수의단독이행202010071,580,7001,580,700202010122020102120201021가람 이앤지노은농수산물도매시장관리사업소단년자체(수기)승낙사항총액계약
8보건환경연구원보건환경연구원2020002143772020식품분석과 액체크로마토그래프 질량분석기 소스크리닝용역수리/수선수의1인견적소액수의단독이행202010053,300,0003,300,000202010072020120420201015써모피셔사이언티픽코리아보건환경연구원단년자체(전자)전자계약총액계약
9건설관리본부건설관리본부2020002143812020「방동대교 보수보강공사」폐기물처리용역용역일반수의2인이상견적소액수의단독이행2020100514,073,80019,450,000202010072021030520210305대림공영(주)건설관리본부단년자체(전자)전자계약총액계약
계약관서계약부서계약번호계약년도계약명계약종류계약유형계약방법계약방법상세공동계약방법계약일자최초계약금액계약금액착공일자준공예정일자준공일자계약상대자감독부서장단기구분조달구분계약서구분계약형태
980한밭도서관한밭도서관20210021000720212021년 한밭도서관 오수정화조 유지관리 용역용역일반수의1인견적소액수의단독이행202012316,864,0006,864,000202101012021123120210225주식회사그린이엔지한밭도서관단년자체(수기)서면계약총액계약
981건설관리본부건설관리본부2020002146342020바람길숲 조성사업(갑천권역 확산숲(시설녹지) 2-1공구) 폐기물 처리용역용역일반수의2인이상견적소액수의단독이행2020102013,496,80012,877,000202010212021021720210217대림공영(주)건설관리본부단년자체(전자)전자계약총액계약
982본청회계과2021002108792021「대덕특구 융합연구혁신센터 조성사업 예정지 건축물 정밀안전점검용역」 집행품의용역기술수의2인이상견적소액수의단독이행2021022335,901,50035,901,500202102262021042620210426포유엔지니어링종합건축사사무소(주)과학산업과단년자체(전자)전자계약총액계약
983여성가족원여성가족원20210022013620212021년도 소방시설 유지관리용역계약 및 점검수수료 지출결의용역일반수의2인이상견적소액수의단독이행202012313,420,0003,420,000202101012021123120211231(주)안전소방이엔지여성가족원단년자체(전자)전자계약총액계약
984본청회계과2021002109772021대전역 도시재생「지역문화관광거점」기존 건축물 철거공사 실시설계용역 집행품의용역건축설계수의1인견적소액수의단독이행202103088,090,0008,090,000202103092021041720210417(주)혜원종합건축사사무소도시재생과단년자체(전자)전자계약총액계약
985건설관리본부건설관리본부2021002104192021보문산 대사지구 광장 및 주차장 조성공사 폐아스콘 처리용역용역일반수의1인견적소액수의단독이행202101074,100,0004,100,000202101112022011020220110중앙아스콘(주)건설관리본부단년자체(전자)전자계약총액계약
986본청회계과20210021058920212021년 소나무재선충병 무인항공예찰 및 현장조사 용역용역기술수의2인이상견적소액수의단독이행2021012518,540,00018,540,000202102012021030220210302주식회사 어썸텍공원녹지과단년자체(전자)전자계약총액계약
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