Overview

Dataset statistics

Number of variables19
Number of observations32
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory159.0 B

Variable types

Numeric2
Text5
Categorical7
DateTime2
Boolean3

Dataset

Description기관운영에 필요로 하는 23년 4분기 일방행정 계약목록에 대한 데이터로 계약번호, 계약명, 차수, 신규구분 등 계약관련 정보를 제공합니다.
Author한국국제협력단
URLhttps://www.data.go.kr/data/15105480/fileData.do

Alerts

조달사업구분 has constant value ""Constant
신규여부 is highly overall correlated with 차수 and 2 other fieldsHigh correlation
조달계약종류 is highly overall correlated with 차수 and 4 other fieldsHigh correlation
차수 is highly overall correlated with 신규여부 and 4 other fieldsHigh correlation
계약방법 is highly overall correlated with 조달계약종류High correlation
금액변경 여부 is highly overall correlated with 차수 and 1 other fieldsHigh correlation
기간변경 여부 is highly overall correlated with 차수 and 2 other fieldsHigh correlation
과업변경 여부 is highly overall correlated with 차수 and 1 other fieldsHigh correlation
의뢰부서 is highly overall correlated with 금액변경 여부High correlation
조달구분 is highly imbalanced (57.8%)Imbalance
금액변경 여부 is highly imbalanced (66.3%)Imbalance
계약범위 has 2 (6.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 08:58:09.369476
Analysis finished2024-03-14 08:58:14.329319
Duration4.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-03-14T17:58:14.497441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-03-14T17:58:14.900006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

계약번호
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-14T17:58:15.700781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters288
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)87.5%

Sample

1st rowG20220002
2nd rowG20200009
3rd rowG20230003
4th rowG20230004
5th rowG20230007
ValueCountFrequency (%)
g20220002 2
 
6.2%
g20200009 2
 
6.2%
g20230042 1
 
3.1%
g20230039 1
 
3.1%
g20230041 1
 
3.1%
g20230034 1
 
3.1%
g20230035 1
 
3.1%
g20230036 1
 
3.1%
g20230040 1
 
3.1%
g20230037 1
 
3.1%
Other values (20) 20
62.5%
2024-03-14T17:58:16.876411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 110
38.2%
2 78
27.1%
G 32
 
11.1%
3 32
 
11.1%
4 9
 
3.1%
1 9
 
3.1%
9 5
 
1.7%
6 4
 
1.4%
8 4
 
1.4%
5 3
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 256
88.9%
Uppercase Letter 32
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 110
43.0%
2 78
30.5%
3 32
 
12.5%
4 9
 
3.5%
1 9
 
3.5%
9 5
 
2.0%
6 4
 
1.6%
8 4
 
1.6%
5 3
 
1.2%
7 2
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
G 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 256
88.9%
Latin 32
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 110
43.0%
2 78
30.5%
3 32
 
12.5%
4 9
 
3.5%
1 9
 
3.5%
9 5
 
2.0%
6 4
 
1.6%
8 4
 
1.6%
5 3
 
1.2%
7 2
 
0.8%
Latin
ValueCountFrequency (%)
G 32
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 110
38.2%
2 78
27.1%
G 32
 
11.1%
3 32
 
11.1%
4 9
 
3.1%
1 9
 
3.1%
9 5
 
1.7%
6 4
 
1.4%
8 4
 
1.4%
5 3
 
1.0%

차수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size384.0 B
1
23 
2
6 
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row3
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 23
71.9%
2 6
 
18.8%
3 2
 
6.2%
4 1
 
3.1%

Length

2024-03-14T17:58:17.287742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:58:17.611232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
71.9%
2 6
 
18.8%
3 2
 
6.2%
4 1
 
3.1%

신규여부
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size384.0 B
신규
23 
변경
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row변경
2nd row변경
3rd row신규
4th row신규
5th row신규

Common Values

ValueCountFrequency (%)
신규 23
71.9%
변경 9
 
28.1%

Length

2024-03-14T17:58:17.976960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:58:18.291301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 23
71.9%
변경 9
 
28.1%

계약명
Text

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-14T17:58:19.307987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length34
Mean length31.28125
Min length14

Characters and Unicode

Total characters1001
Distinct characters183
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)65.6%

Sample

1st row(장기계속/2차년도)2021022년 코이카 이노포트 프로그램 기획·운영 용역
2nd rowKOICA 연수센터 및 글로벌인재교육원 식당 위탁운영 업체선정
3rd row(긴급) 2023 MAGAZINE KOICA 제작 운영 용역
4th row(장기계속/1차) KOICA 항공권 발권 여행업무 위탁운영 용역
5th row공모형 국별협력사업 공모 지원업무 위탁 용역
ValueCountFrequency (%)
koica 15
 
7.6%
용역 15
 
7.6%
및 9
 
4.6%
긴급 6
 
3.0%
한국국제협력단 5
 
2.5%
선정 5
 
2.5%
긴급)koica 4
 
2.0%
운영 4
 
2.0%
2023 4
 
2.0%
법인카드사업자 4
 
2.0%
Other values (87) 126
64.0%
2024-03-14T17:58:20.838197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
16.5%
2 34
 
3.4%
C 22
 
2.2%
A 21
 
2.1%
( 21
 
2.1%
) 21
 
2.1%
I 20
 
2.0%
O 19
 
1.9%
K 19
 
1.9%
기 17
 
1.7%
Other values (173) 642
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 605
60.4%
Space Separator 165
 
16.5%
Uppercase Letter 112
 
11.2%
Decimal Number 66
 
6.6%
Open Punctuation 21
 
2.1%
Close Punctuation 21
 
2.1%
Other Punctuation 11
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 17
 
2.8%
역 16
 
2.6%
정 15
 
2.5%
용 15
 
2.5%
급 14
 
2.3%
사 13
 
2.1%
긴 13
 
2.1%
업 13
 
2.1%
국 12
 
2.0%
선 11
 
1.8%
Other values (151) 466
77.0%
Uppercase Letter
ValueCountFrequency (%)
C 22
19.6%
A 21
18.8%
I 20
17.9%
O 19
17.0%
K 19
17.0%
D 3
 
2.7%
S 2
 
1.8%
N 2
 
1.8%
Z 1
 
0.9%
M 1
 
0.9%
Other values (2) 2
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 34
51.5%
0 16
24.2%
3 11
 
16.7%
1 3
 
4.5%
4 2
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 8
72.7%
· 3
 
27.3%
Space Separator
ValueCountFrequency (%)
165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 604
60.3%
Common 284
28.4%
Latin 112
 
11.2%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 17
 
2.8%
역 16
 
2.6%
정 15
 
2.5%
용 15
 
2.5%
급 14
 
2.3%
사 13
 
2.2%
긴 13
 
2.2%
업 13
 
2.2%
국 12
 
2.0%
선 11
 
1.8%
Other values (150) 465
77.0%
Latin
ValueCountFrequency (%)
C 22
19.6%
A 21
18.8%
I 20
17.9%
O 19
17.0%
K 19
17.0%
D 3
 
2.7%
S 2
 
1.8%
N 2
 
1.8%
Z 1
 
0.9%
M 1
 
0.9%
Other values (2) 2
 
1.8%
Common
ValueCountFrequency (%)
165
58.1%
2 34
 
12.0%
( 21
 
7.4%
) 21
 
7.4%
0 16
 
5.6%
3 11
 
3.9%
/ 8
 
2.8%
· 3
 
1.1%
1 3
 
1.1%
4 2
 
0.7%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 604
60.3%
ASCII 393
39.3%
None 3
 
0.3%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
42.0%
2 34
 
8.7%
C 22
 
5.6%
A 21
 
5.3%
( 21
 
5.3%
) 21
 
5.3%
I 20
 
5.1%
O 19
 
4.8%
K 19
 
4.8%
0 16
 
4.1%
Other values (11) 35
 
8.9%
Hangul
ValueCountFrequency (%)
기 17
 
2.8%
역 16
 
2.6%
정 15
 
2.5%
용 15
 
2.5%
급 14
 
2.3%
사 13
 
2.2%
긴 13
 
2.2%
업 13
 
2.2%
국 12
 
2.0%
선 11
 
1.8%
Other values (150) 465
77.0%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
愛 1
100.0%

조달사업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
일반행정입찰
32 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반행정입찰 32
100.0%

Length

2024-03-14T17:58:21.059498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:58:21.309848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반행정입찰 32
100.0%

조달구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
용역
28 
물품
 
2
공사
 
2

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 28
87.5%
물품 2
 
6.2%
공사 2
 
6.2%

Length

2024-03-14T17:58:21.628704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:58:21.955423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용역 28
87.5%
물품 2
 
6.2%
공사 2
 
6.2%

조달계약종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
입찰
18 
변경계약
9 
수의계약
5 

Length

Max length4
Median length2
Mean length2.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row변경계약
2nd row변경계약
3rd row입찰
4th row입찰
5th row입찰

Common Values

ValueCountFrequency (%)
입찰 18
56.2%
변경계약 9
28.1%
수의계약 5
 
15.6%

Length

2024-03-14T17:58:22.338804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:58:22.624404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입찰 18
56.2%
변경계약 9
28.1%
수의계약 5
 
15.6%

계약방법
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
일반경쟁
15 
수의계약
10 
제한경쟁
7 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반경쟁 15
46.9%
수의계약 10
31.2%
제한경쟁 7
21.9%

Length

2024-03-14T17:58:22.828150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:58:23.005644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반경쟁 15
46.9%
수의계약 10
31.2%
제한경쟁 7
21.9%

계약일자
Date

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
Minimum2023-11-16 00:00:00
Maximum2024-02-20 00:00:00
2024-03-14T17:58:23.185156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:58:23.386425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

계약금액
Real number (ℝ)

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2974393 × 109
Minimum1
Maximum1.7567 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-03-14T17:58:23.637634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q115700000
median1.9512675 × 108
Q35.5054763 × 108
95-th percentile5.6457484 × 109
Maximum1.7567 × 1010
Range1.7567 × 1010
Interquartile range (IQR)5.3484763 × 108

Descriptive statistics

Standard deviation3.4053011 × 109
Coefficient of variation (CV)2.6246323
Kurtosis17.934786
Mean1.2974393 × 109
Median Absolute Deviation (MAD)1.9512674 × 108
Skewness4.0705492
Sum4.1518057 × 1010
Variance1.1596076 × 1019
MonotonicityNot monotonic
2024-03-14T17:58:23.898484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 4
 
12.5%
10 3
 
9.4%
3234180000 2
 
6.2%
542755230 1
 
3.1%
121800000 1
 
3.1%
39000000 1
 
3.1%
48500000 1
 
3.1%
19400000 1
 
3.1%
8593220880 1
 
3.1%
4600000 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
1 4
12.5%
10 3
9.4%
4600000 1
 
3.1%
19400000 1
 
3.1%
39000000 1
 
3.1%
48500000 1
 
3.1%
49300000 1
 
3.1%
117000000 1
 
3.1%
121800000 1
 
3.1%
153275540 1
 
3.1%
ValueCountFrequency (%)
17567000000 1
3.1%
8593220880 1
3.1%
3234180000 2
6.2%
2231928149 1
3.1%
1714800000 1
3.1%
668834560 1
3.1%
573924830 1
3.1%
542755230 1
3.1%
489500000 1
3.1%
429000000 1
3.1%

계약범위
Text

MISSING 

Distinct24
Distinct (%)80.0%
Missing2
Missing (%)6.2%
Memory size384.0 B
2024-03-14T17:58:24.705034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length166
Median length88.5
Mean length66.466667
Min length4

Characters and Unicode

Total characters1994
Distinct characters255
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)66.7%

Sample

1st row① 코이카 이노포트 프로그램(4개) 기획 및 운영에 관한 사안 ② 기타 코이카 이노포트 운영에 관한 사안
2nd rowo 연수센터 식당 위탁운영(외국인 전용) o 글로벌인재교육원(영월, 서울) 식당 위탁운영(내국인 전용) o 협력단 야근자 석식 제공 ※세부과업내용은 제안요청서 및 용역계약서 참고
3rd rowㅇ 웹진(온라인) / 매거진(인쇄간행물) 기획, 디자인, 콘텐츠 취재 및 제작(인쇄), 배포 및 발송, 콘텐츠 게재, 배포(배송)처 관리, 구독자 및 성과 관리 등
4th rowKOICA 해외파견인력(임직원 포함) 항공권 발권 및 여행업무 지원
5th rowㅇ 공모형 국별협력사업 제안참가자 대상 ODA이해 제고 교육 ㅇ 공모형 국별협력사업 공모운영 지원 및 제안참가자 대상 사업전략 컨설팅 ㅇ 공모형 국별협력사업 홍보 및 참가자 대상 KOICA 공모 제도 만족도 조사
ValueCountFrequency (%)
및 33
 
7.0%
ㅇ 28
 
5.9%
등 11
 
2.3%
퇴직연금 9
 
1.9%
koica 8
 
1.7%
참조 8
 
1.7%
한국국제협력단 8
 
1.7%
관리 6
 
1.3%
제안요청서 6
 
1.3%
o 6
 
1.3%
Other values (208) 351
74.1%
2024-03-14T17:58:25.846938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
444
 
22.3%
ㅇ 41
 
2.1%
및 33
 
1.7%
, 32
 
1.6%
자 31
 
1.6%
사 30
 
1.5%
제 30
 
1.5%
국 28
 
1.4%
업 26
 
1.3%
) 26
 
1.3%
Other values (245) 1273
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1360
68.2%
Space Separator 444
 
22.3%
Uppercase Letter 66
 
3.3%
Other Punctuation 37
 
1.9%
Close Punctuation 27
 
1.4%
Open Punctuation 25
 
1.3%
Decimal Number 24
 
1.2%
Lowercase Letter 6
 
0.3%
Other Number 4
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ㅇ 41
 
3.0%
및 33
 
2.4%
자 31
 
2.3%
사 30
 
2.2%
제 30
 
2.2%
국 28
 
2.1%
업 26
 
1.9%
서 26
 
1.9%
기 25
 
1.8%
금 25
 
1.8%
Other values (215) 1065
78.3%
Uppercase Letter
ValueCountFrequency (%)
C 14
21.2%
A 9
13.6%
O 9
13.6%
I 8
12.1%
K 8
12.1%
D 7
10.6%
S 6
9.1%
N 3
 
4.5%
B 1
 
1.5%
T 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 7
29.2%
0 5
20.8%
4 5
20.8%
3 2
 
8.3%
1 2
 
8.3%
5 2
 
8.3%
8 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 32
86.5%
※ 3
 
8.1%
· 1
 
2.7%
/ 1
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 26
96.3%
」 1
 
3.7%
Open Punctuation
ValueCountFrequency (%)
( 24
96.0%
「 1
 
4.0%
Other Number
ValueCountFrequency (%)
② 2
50.0%
① 2
50.0%
Space Separator
ValueCountFrequency (%)
444
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1359
68.2%
Common 562
28.2%
Latin 72
 
3.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
ㅇ 41
 
3.0%
및 33
 
2.4%
자 31
 
2.3%
사 30
 
2.2%
제 30
 
2.2%
국 28
 
2.1%
업 26
 
1.9%
서 26
 
1.9%
기 25
 
1.8%
금 25
 
1.8%
Other values (214) 1064
78.3%
Common
ValueCountFrequency (%)
444
79.0%
, 32
 
5.7%
) 26
 
4.6%
( 24
 
4.3%
2 7
 
1.2%
0 5
 
0.9%
4 5
 
0.9%
※ 3
 
0.5%
3 2
 
0.4%
1 2
 
0.4%
Other values (9) 12
 
2.1%
Latin
ValueCountFrequency (%)
C 14
19.4%
A 9
12.5%
O 9
12.5%
I 8
11.1%
K 8
11.1%
D 7
9.7%
S 6
8.3%
o 6
8.3%
N 3
 
4.2%
B 1
 
1.4%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1318
66.1%
ASCII 624
31.3%
Compat Jamo 41
 
2.1%
Enclosed Alphanum 4
 
0.2%
Punctuation 3
 
0.2%
None 3
 
0.2%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
444
71.2%
, 32
 
5.1%
) 26
 
4.2%
( 24
 
3.8%
C 14
 
2.2%
A 9
 
1.4%
O 9
 
1.4%
I 8
 
1.3%
K 8
 
1.3%
D 7
 
1.1%
Other values (14) 43
 
6.9%
Compat Jamo
ValueCountFrequency (%)
ㅇ 41
100.0%
Hangul
ValueCountFrequency (%)
및 33
 
2.5%
자 31
 
2.4%
사 30
 
2.3%
제 30
 
2.3%
국 28
 
2.1%
업 26
 
2.0%
서 26
 
2.0%
기 25
 
1.9%
금 25
 
1.9%
관 23
 
1.7%
Other values (213) 1041
79.0%
Punctuation
ValueCountFrequency (%)
※ 3
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 2
50.0%
① 2
50.0%
None
ValueCountFrequency (%)
」 1
33.3%
· 1
33.3%
「 1
33.3%
CJK
ValueCountFrequency (%)
愛 1
100.0%

금액변경 여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
30 
True
 
2
ValueCountFrequency (%)
False 30
93.8%
True 2
 
6.2%
2024-03-14T17:58:26.104080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기간변경 여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
27 
True
5 
ValueCountFrequency (%)
False 27
84.4%
True 5
 
15.6%
2024-03-14T17:58:26.247698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

과업변경 여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
28 
True
4 
ValueCountFrequency (%)
False 28
87.5%
True 4
 
12.5%
2024-03-14T17:58:26.398652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

계약기간시작일자
Text

Distinct25
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-14T17:58:26.978513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters320
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

Unique19 ?
Unique (%)59.4%

Sample

1st row2023-08-26
2nd row2023-02-19
3rd row2023-12-18
4th row2023-12-26
5th row2024-01-01
ValueCountFrequency (%)
2024-02-20 3
 
9.4%
2024-02-14 2
 
6.2%
2452-09-22 2
 
6.2%
2023-02-19 2
 
6.2%
2023-08-26 2
 
6.2%
2023-11-21 2
 
6.2%
2024-02-01 1
 
3.1%
2023-11-26 1
 
3.1%
2023-11-16 1
 
3.1%
2024-02-13 1
 
3.1%
Other values (15) 15
46.9%
2024-03-14T17:58:27.890511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 95
29.7%
0 67
20.9%
- 64
20.0%
1 34
 
10.6%
4 22
 
6.9%
3 15
 
4.7%
9 7
 
2.2%
6 6
 
1.9%
8 5
 
1.6%
5 4
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 256
80.0%
Dash Punctuation 64
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 95
37.1%
0 67
26.2%
1 34
 
13.3%
4 22
 
8.6%
3 15
 
5.9%
9 7
 
2.7%
6 6
 
2.3%
8 5
 
2.0%
5 4
 
1.6%
7 1
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 320
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 95
29.7%
0 67
20.9%
- 64
20.0%
1 34
 
10.6%
4 22
 
6.9%
3 15
 
4.7%
9 7
 
2.2%
6 6
 
1.9%
8 5
 
1.6%
5 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 95
29.7%
0 67
20.9%
- 64
20.0%
1 34
 
10.6%
4 22
 
6.9%
3 15
 
4.7%
9 7
 
2.2%
6 6
 
1.9%
8 5
 
1.6%
5 4
 
1.2%

계약기간종료일자
Date

Distinct17
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Memory size384.0 B
Minimum2023-11-17 00:00:00
Maximum2025-06-19 00:00:00
2024-03-14T17:58:28.093365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:58:28.380340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

의뢰부서
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
운영지원팀
8 
인사·교육팀
5 
홍보실
4 
재무회계팀
4 
ESG경영팀
2 
Other values (6)
9 

Length

Max length11
Median length9.5
Mean length5.34375
Min length3

Unique

Unique3 ?
Unique (%)9.4%

Sample

1st rowESG경영팀
2nd row운영지원실
3rd row홍보실
4th row운영지원팀
5th row대외협력·신사업개발팀

Common Values

ValueCountFrequency (%)
운영지원팀 8
25.0%
인사·교육팀 5
15.6%
홍보실 4
12.5%
재무회계팀 4
12.5%
ESG경영팀 2
 
6.2%
운영지원실 2
 
6.2%
정보운영팀 2
 
6.2%
국민소통센터 2
 
6.2%
대외협력·신사업개발팀 1
 
3.1%
데이터혁신팀 1
 
3.1%

Length

2024-03-14T17:58:28.777617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
운영지원팀 8
24.2%
인사·교육팀 5
15.2%
홍보실 4
12.1%
재무회계팀 4
12.1%
esg경영팀 2
 
6.1%
운영지원실 2
 
6.1%
정보운영팀 2
 
6.1%
국민소통센터 2
 
6.1%
대외협력·신사업개발팀 1
 
3.0%
데이터혁신팀 1
 
3.0%
Other values (2) 2
 
6.1%

계약업체
Text

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-14T17:58:29.545818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length10.4375
Min length5

Characters and Unicode

Total characters334
Distinct characters115
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

Unique22 ?
Unique (%)68.8%

Sample

1st row사단법인 더 브릿지
2nd row씨제이프레시웨이주식회사
3rd row(주)조선뉴스프레스
4th row(주)하나투어
5th row주식회사 한국아이티컨설팅
ValueCountFrequency (%)
주식회사 12
22.6%
주 3
 
5.7%
사단법인 2
 
3.8%
브릿지 2
 
3.8%
주)신한은행 2
 
3.8%
국민은행 2
 
3.8%
씨제이프레시웨이주식회사 2
 
3.8%
우노디자인 2
 
3.8%
더 2
 
3.8%
미래에셋생명보험 1
 
1.9%
Other values (23) 23
43.4%
2024-03-14T17:58:30.433996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 25
 
7.5%
21
 
6.3%
사 17
 
5.1%
회 16
 
4.8%
식 15
 
4.5%
이 12
 
3.6%
( 10
 
3.0%
) 10
 
3.0%
스 8
 
2.4%
인 7
 
2.1%
Other values (105) 193
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
87.7%
Space Separator 21
 
6.3%
Open Punctuation 10
 
3.0%
Close Punctuation 10
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
8.5%
사 17
 
5.8%
회 16
 
5.5%
식 15
 
5.1%
이 12
 
4.1%
스 8
 
2.7%
인 7
 
2.4%
에 6
 
2.0%
국 6
 
2.0%
한 6
 
2.0%
Other values (102) 175
59.7%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
87.7%
Common 41
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
8.5%
사 17
 
5.8%
회 16
 
5.5%
식 15
 
5.1%
이 12
 
4.1%
스 8
 
2.7%
인 7
 
2.4%
에 6
 
2.0%
국 6
 
2.0%
한 6
 
2.0%
Other values (102) 175
59.7%
Common
ValueCountFrequency (%)
21
51.2%
( 10
24.4%
) 10
24.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
87.7%
ASCII 41
 
12.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 25
 
8.5%
사 17
 
5.8%
회 16
 
5.5%
식 15
 
5.1%
이 12
 
4.1%
스 8
 
2.7%
인 7
 
2.4%
에 6
 
2.0%
국 6
 
2.0%
한 6
 
2.0%
Other values (102) 175
59.7%
ASCII
ValueCountFrequency (%)
21
51.2%
( 10
24.4%
) 10
24.4%

Interactions

2024-03-14T17:58:12.494828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:58:11.987607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:58:12.957097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:58:12.238801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:58:30.851914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약번호차수신규여부계약명조달구분조달계약종류계약방법계약일자계약금액계약범위금액변경 여부기간변경 여부과업변경 여부계약기간시작일자계약기간종료일자의뢰부서계약업체
번호1.0000.9250.3310.2920.9360.0000.5760.6140.9020.0000.8110.0000.3970.5380.9560.7510.5880.694
계약번호0.9251.0000.0001.0001.0001.0001.0001.0000.7471.0001.0001.0000.0000.0001.0000.9271.0001.000
차수0.3310.0001.0001.0000.0000.0000.6460.0930.9830.0000.0000.9690.9540.8510.0000.9050.6030.000
신규여부0.2921.0001.0001.0001.0000.0001.0000.1360.7360.0640.8760.3180.7850.6781.0000.8050.5900.486
계약명0.9361.0000.0001.0001.0001.0001.0001.0000.9571.0001.0001.0000.0000.0001.0000.9841.0000.981
조달구분0.0001.0000.0000.0001.0001.0000.7300.5240.4250.0001.0000.0000.0000.0000.8540.9340.0001.000
조달계약종류0.5761.0000.6461.0001.0000.7301.0000.8570.9660.2230.9850.2070.4230.3561.0000.7820.6640.936
계약방법0.6141.0000.0930.1361.0000.5240.8571.0000.7030.0000.9840.0710.2430.0001.0000.7290.4480.936
계약일자0.9020.7470.9830.7360.9570.4250.9660.7031.0001.0000.9151.0000.1631.0000.9680.9010.8860.679
계약금액0.0001.0000.0000.0641.0000.0000.2230.0001.0001.0001.0000.0000.0000.0001.0000.0000.5351.000
계약범위0.8111.0000.0000.8761.0001.0000.9850.9840.9151.0001.0001.0000.0000.0000.9960.9531.0000.984
금액변경 여부0.0001.0000.9690.3181.0000.0000.2070.0711.0000.0001.0001.0000.0000.0001.0001.0001.0001.000
기간변경 여부0.3970.0000.9540.7850.0000.0000.4230.2430.1630.0000.0000.0001.0000.0000.2630.9050.3870.000
과업변경 여부0.5380.0000.8510.6780.0000.0000.3560.0001.0000.0000.0000.0000.0001.0000.0000.0000.0000.000
계약기간시작일자0.9561.0000.0001.0001.0000.8541.0001.0000.9681.0000.9961.0000.2630.0001.0000.9600.9900.983
계약기간종료일자0.7510.9270.9050.8050.9840.9340.7820.7290.9010.0000.9531.0000.9050.0000.9601.0000.9360.000
의뢰부서0.5881.0000.6030.5901.0000.0000.6640.4480.8860.5351.0001.0000.3870.0000.9900.9361.0001.000
계약업체0.6941.0000.0000.4860.9811.0000.9360.9360.6791.0000.9841.0000.0000.0000.9830.0001.0001.000
2024-03-14T17:58:31.137814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신규여부조달계약종류계약방법기간변경 여부금액변경 여부과업변경 여부조달구분차수의뢰부서
신규여부1.0000.9830.2170.5740.2040.4730.0000.9660.470
조달계약종류0.9831.0000.5420.6500.3310.5570.3840.6570.418
계약방법0.2170.5421.0000.3880.1070.0000.2130.0640.230
기간변경 여부0.5740.6500.3881.0000.0000.0000.0000.7790.296
금액변경 여부0.2040.3310.1070.0001.0000.0000.0000.8110.837
과업변경 여부0.4730.5570.0000.0000.0001.0000.0000.6260.000
조달구분0.0000.3840.2130.0000.0000.0001.0000.0000.000
차수0.9660.6570.0640.7790.8110.6260.0001.0000.343
의뢰부서0.4700.4180.2300.2960.8370.0000.0000.3431.000
2024-03-14T17:58:31.354849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액차수신규여부조달구분조달계약종류계약방법금액변경 여부기간변경 여부과업변경 여부의뢰부서
번호1.000-0.3920.1510.1670.0000.3540.3900.0000.2440.3440.268
계약금액-0.3921.0000.0000.0000.0000.2010.0000.0000.0000.0000.289
차수0.1510.0001.0000.9660.0000.6570.0640.8110.7790.6260.343
신규여부0.1670.0000.9661.0000.0000.9830.2170.2040.5740.4730.470
조달구분0.0000.0000.0000.0001.0000.3840.2130.0000.0000.0000.000
조달계약종류0.3540.2010.6570.9830.3841.0000.5420.3310.6500.5570.418
계약방법0.3900.0000.0640.2170.2130.5421.0000.1070.3880.0000.230
금액변경 여부0.0000.0000.8110.2040.0000.3310.1071.0000.0000.0000.837
기간변경 여부0.2440.0000.7790.5740.0000.6500.3880.0001.0000.0000.296
과업변경 여부0.3440.0000.6260.4730.0000.5570.0000.0000.0001.0000.000
의뢰부서0.2680.2890.3430.4700.0000.4180.2300.8370.2960.0001.000

Missing values

2024-03-14T17:58:13.357868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:58:14.051085image/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

번호계약번호차수신규여부계약명조달사업구분조달구분조달계약종류계약방법계약일자계약금액계약범위금액변경 여부기간변경 여부과업변경 여부계약기간시작일자계약기간종료일자의뢰부서계약업체
01G202200023변경(장기계속/2차년도)2021022년 코이카 이노포트 프로그램 기획·운영 용역일반행정입찰용역변경계약일반경쟁2023-12-12542755230① 코이카 이노포트 프로그램(4개) 기획 및 운영에 관한 사안 ② 기타 코이카 이노포트 운영에 관한 사안YNN2023-08-262023-12-25ESG경영팀사단법인 더 브릿지
12G202000092변경KOICA 연수센터 및 글로벌인재교육원 식당 위탁운영 업체선정일반행정입찰용역변경계약수의계약2023-12-093234180000o 연수센터 식당 위탁운영(외국인 전용) o 글로벌인재교육원(영월, 서울) 식당 위탁운영(내국인 전용) o 협력단 야근자 석식 제공 ※세부과업내용은 제안요청서 및 용역계약서 참고NYN2023-02-192024-07-01운영지원실씨제이프레시웨이주식회사
23G202300031신규(긴급) 2023 MAGAZINE KOICA 제작 운영 용역일반행정입찰용역입찰일반경쟁2023-12-18286000000ㅇ 웹진(온라인) / 매거진(인쇄간행물) 기획, 디자인, 콘텐츠 취재 및 제작(인쇄), 배포 및 발송, 콘텐츠 게재, 배포(배송)처 관리, 구독자 및 성과 관리 등NNN2023-12-182023-12-06홍보실(주)조선뉴스프레스
34G202300041신규(장기계속/1차) KOICA 항공권 발권 여행업무 위탁운영 용역일반행정입찰용역입찰일반경쟁2023-12-2217567000000KOICA 해외파견인력(임직원 포함) 항공권 발권 및 여행업무 지원NNN2023-12-262023-12-06운영지원팀(주)하나투어
45G202300071신규공모형 국별협력사업 공모 지원업무 위탁 용역일반행정입찰용역입찰일반경쟁2024-01-01363000000ㅇ 공모형 국별협력사업 제안참가자 대상 ODA이해 제고 교육 ㅇ 공모형 국별협력사업 공모운영 지원 및 제안참가자 대상 사업전략 컨설팅 ㅇ 공모형 국별협력사업 홍보 및 참가자 대상 KOICA 공모 제도 만족도 조사NNN2024-01-012023-11-25대외협력·신사업개발팀주식회사 한국아이티컨설팅
56G202200024변경(장기계속/2차년도)2021022년 코이카 이노포트 프로그램 기획·운영 용역일반행정입찰용역변경계약일반경쟁2023-12-30573924830① 코이카 이노포트 프로그램(4개) 기획 및 운영에 관한 사안 ② 기타 코이카 이노포트 운영에 관한 사안YYY2023-08-262024-01-14ESG경영팀사단법인 더 브릿지
67G202300121신규2023년 데이터기반행정 활성화 및 데이터 역량강화 컨설팅일반행정입찰용역입찰제한경쟁2024-01-0949300000ㅇ 기관 구성원 데이터 역량강화 지원 ㅇ 데이터 분석과제 추진 지원 ㅇ 공동활용 데이터 발굴 ㅇ 기관 데이터 수요자 그룹 분석 ㅇ 기타 데이터기반행정 실태점검 수검 지원NNN2024-01-102023-11-30데이터혁신팀주식회사 리스트
78G202300111신규KOICA 클라우드 컴퓨팅 기반 환경구축을 위한 소프트웨어 구매일반행정입찰물품입찰일반경쟁2024-01-09168253500납품지시서 참조NNN2024-01-092024-01-18정보운영팀주식회사아이티베이스
89G202300141신규(긴급) KOICA 디지털 기록관리시스템 구축 감리 용역일반행정입찰용역입찰제한경쟁2024-01-06153275540ㅇ 사업관리, 프로젝트 관리, 사후관리, 행정사항 4개 영역의 8개 항목NNN2024-01-062024-02-11운영지원팀주식회사 케이씨에이
910G202300161신규(긴급)2023년 국민참여 활성화를 위한 고객만족 통합조사 용역일반행정입찰용역입찰일반경쟁2024-01-23265000000ㅇ 내외부 고객 대상 14종 조사 및 고객만족 품질 제고 프로그램 실시NNN2024-01-232023-12-06국민소통센터(주) 메가리서치
번호계약번호차수신규여부계약명조달사업구분조달구분조달계약종류계약방법계약일자계약금액계약범위금액변경 여부기간변경 여부과업변경 여부계약기간시작일자계약기간종료일자의뢰부서계약업체
2223G202300371신규KOICA 직무중심 보수체계·인사관리 고도화 용역일반행정입찰용역입찰일반경쟁2024-02-15222000000<NA>NNN2024-02-152024-03-06인사·교육팀(주) 한국능률협회컨설팅
2324G202300401신규서울교육원 세탁실 방수공사 계약일반행정입찰공사수의계약수의계약2024-02-134600000세탁실 바닥 샌딩, 우레탄 방수 작업 등NNN2024-02-132024-02-15운영지원팀우노디자인
2425G202300361신규(긴급)KOICA 확정기여형(DC) 퇴직연금 사업자 추가선정일반행정입찰용역입찰제한경쟁2024-02-2010ㅇ 한국국제협력단 확정기여형(DC) 퇴직연금 사업자 추가 선정 업종별 퇴직연금 사업자의 수를 확대하여 DC형 퇴직연금 가입자의 선택권을 확대하고 임직원 퇴직자산 증가 도모NNN2024-02-202023-12-06인사·교육팀미래에셋생명보험 (주)
2526G202300351신규(긴급)KOICA 확정기여형(DC) 퇴직연금 사업자 추가선정일반행정입찰용역입찰제한경쟁2024-02-2010ㅇ 한국국제협력단 확정기여형(DC) 퇴직연금 사업자 추가 선정 업종별 퇴직연금 사업자의 수를 확대하여 DC형 퇴직연금 가입자의 선택권을 확대하고 임직원 퇴직자산 증가 도모NNN2024-02-202023-12-06인사·교육팀엔에이치투자증권(주)
2627G202300341신규(긴급)KOICA 확정기여형(DC) 퇴직연금 사업자 추가선정일반행정입찰용역입찰제한경쟁2024-02-2010ㅇ 한국국제협력단 확정기여형(DC) 퇴직연금 사업자 추가 선정 업종별 퇴직연금 사업자의 수를 확대하여 DC형 퇴직연금 가입자의 선택권을 확대하고 임직원 퇴직자산 증가 도모NNN2024-02-202023-12-06인사·교육팀한국투자증권(주)
2728G202300411신규KOICA 해외파견자 맞춤형 통합 보장보험 용역일반행정입찰용역수의계약수의계약2023-11-168593220880ㅇ 과업지시서 붙임 붙임파일 참고NNN2023-11-162023-12-06운영지원팀삼성화재해상보험 주식회사
2829G202300391신규서울교육원 방재실 위기대응 강화 환경개선 공사일반행정입찰공사수의계약수의계약2023-11-2119400000방재실 가벽 철거, 각종 목공작업, 도배 및 바닥 교체 등NNN2023-11-212023-11-17운영지원팀우노디자인
2930G202300421신규2023년 기록관 정수점검일반행정입찰용역수의계약수의계약2023-11-18485000001) 한국국제협력단 기록관에 보존중인 기록물 정수점검 목록대비 실물확인 정수점검(관리번호, 철제목, 기록물유형, 소장위치, 보존상자번호, 육안상태점검, 점검목록조치사항 등 확인 및 작성) 2) 목록누락·관리라벨 훼손 및 미부착 기록물철 정리기록관 보존기록물 정수점검 등 ※ 세부사항 과업지시서 참조NNN2023-11-182023-12-06운영지원팀주식회사 에이티앤아이
3031G202300431신규2023년 KOICA 소통愛주간 행사 용역일반행정입찰용역수의계약수의계약2023-11-2139000000ㅇ「2023년 KOICA 소통愛 주간」개최와 관련된 제반 업무 ㅇ 행사장 준비 및 운영 ㅇ 행사 중계 및 송출 ㅇ 정산 및 결과보고NNN2023-11-212023-12-09국민소통센터바탕그래픽
3132G202000093변경KOICA 연수센터 및 글로벌인재교육원 식당 위탁운영 업체선정일반행정입찰용역변경계약수의계약2023-11-263234180000o 연수센터 식당 위탁운영(외국인 전용) o 글로벌인재교육원(영월, 서울) 식당 위탁운영(내국인 전용) o 협력단 야근자 석식 제공 ※세부과업내용은 제안요청서 및 용역계약서 참고NNY2023-02-192024-07-01운영지원실씨제이프레시웨이주식회사