Overview

Dataset statistics

Number of variables13
Number of observations892
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.6 KiB
Average record size in memory105.1 B

Variable types

Numeric1
Categorical7
Text2
DateTime3

Dataset

Description한국마사회의 전자입찰시스템에서 입찰공고한 용역 및 구매, 공사 등의 공고상태, 공고시각, 계약체결형태 등에 대한 정보를 제공한다.
Author한국마사회
URLhttps://www.data.go.kr/data/15123178/fileData.do

Alerts

공고기관명 has constant value ""Constant
수요기관명 has constant value ""Constant
G2B전송여부 is highly overall correlated with 계약체결방법 High correlation
계약체결방법 is highly overall correlated with G2B전송여부 High correlation
입찰공고상태 is highly imbalanced (50.6%)Imbalance
개찰장소 is highly imbalanced (75.1%)Imbalance
공고번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:34:23.957272
Analysis finished2023-12-12 17:34:25.309966
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공고번호
Real number (ℝ)

UNIQUE 

Distinct892
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0225434 × 109
Minimum2.02201 × 109
Maximum2.02311 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.0 KiB
2023-12-13T02:34:25.401820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.02201 × 109
5-th percentile2.02203 × 109
Q12.0220503 × 109
median2.0221201 × 109
Q32.02305 × 109
95-th percentile2.0230906 × 109
Maximum2.02311 × 109
Range1100010
Interquartile range (IQR)999745

Descriptive statistics

Standard deviation499134.28
Coefficient of variation (CV)0.00024678544
Kurtosis-1.9896761
Mean2.0225434 × 109
Median Absolute Deviation (MAD)109830
Skewness0.048726064
Sum1.8041087 × 1012
Variance2.4913503 × 1011
MonotonicityNot monotonic
2023-12-13T02:34:25.584869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2022010270 1
 
0.1%
2022070070 1
 
0.1%
2023030160 1
 
0.1%
2023030820 1
 
0.1%
2023030830 1
 
0.1%
2023030420 1
 
0.1%
2023030440 1
 
0.1%
2023030450 1
 
0.1%
2023030470 1
 
0.1%
2023030480 1
 
0.1%
Other values (882) 882
98.9%
ValueCountFrequency (%)
2022010010 1
0.1%
2022010040 1
0.1%
2022010120 1
0.1%
2022010130 1
0.1%
2022010160 1
0.1%
2022010170 1
0.1%
2022010180 1
0.1%
2022010190 1
0.1%
2022010210 1
0.1%
2022010250 1
0.1%
ValueCountFrequency (%)
2023110020 1
0.1%
2023110010 1
0.1%
2023100590 1
0.1%
2023100580 1
0.1%
2023100570 1
0.1%
2023100560 1
0.1%
2023100540 1
0.1%
2023100530 1
0.1%
2023100520 1
0.1%
2023100500 1
0.1%

G2B전송여부
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
전송
647 
미전송
210 
재전송
 
33
 
2

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전송
2nd row전송
3rd row미전송
4th row전송
5th row전송

Common Values

ValueCountFrequency (%)
전송 647
72.5%
미전송 210
 
23.5%
재전송 33
 
3.7%
2
 
0.2%

Length

2023-12-13T02:34:25.721052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:34:25.818457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전송 647
72.7%
미전송 210
 
23.6%
재전송 33
 
3.7%
Distinct731
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-13T02:34:26.058749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length802
Median length802
Mean length802
Min length802

Characters and Unicode

Total characters715384
Distinct characters485
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

Unique619 ?
Unique (%)69.4%

Sample

1st row2022년 서울경마공원「말 사양관리 용역」
2nd row2022년 상반기 수입조사료 티모시 구매
3rd row2022년 장수목장 초지관리용 화학비료 구매
4th row제주경마공원 노후 도로 재포장 공사
5th row부산경남경마공원 승용마 장제용역
ValueCountFrequency (%)
구매 265
 
6.6%
2023년 120
 
3.0%
2022년 115
 
2.9%
한국마사회 112
 
2.8%
용역 98
 
2.4%
매각 93
 
2.3%
87
 
2.2%
서울경마공원 77
 
1.9%
부산경남경마공원 51
 
1.3%
제주경마공원 46
 
1.1%
Other values (1091) 2967
73.6%
2023-12-13T02:34:26.524317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
699076
97.7%
703
 
0.1%
2 648
 
0.1%
526
 
0.1%
495
 
0.1%
476
 
0.1%
465
 
0.1%
441
 
0.1%
385
 
0.1%
) 366
 
0.1%
Other values (475) 11803
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Space Separator 699076
97.7%
Other Letter 14094
 
2.0%
Decimal Number 1182
 
0.2%
Close Punctuation 377
 
0.1%
Open Punctuation 377
 
0.1%
Uppercase Letter 204
 
< 0.1%
Other Punctuation 64
 
< 0.1%
Lowercase Letter 9
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
703
 
5.0%
526
 
3.7%
495
 
3.5%
476
 
3.4%
465
 
3.3%
441
 
3.1%
385
 
2.7%
324
 
2.3%
264
 
1.9%
254
 
1.8%
Other values (420) 9761
69.3%
Uppercase Letter
ValueCountFrequency (%)
T 29
14.2%
E 22
10.8%
P 20
9.8%
L 17
 
8.3%
D 14
 
6.9%
R 12
 
5.9%
N 11
 
5.4%
C 11
 
5.4%
M 11
 
5.4%
I 8
 
3.9%
Other values (13) 49
24.0%
Decimal Number
ValueCountFrequency (%)
2 648
54.8%
0 272
23.0%
3 147
 
12.4%
1 58
 
4.9%
8 17
 
1.4%
4 14
 
1.2%
7 9
 
0.8%
5 7
 
0.6%
6 6
 
0.5%
9 4
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 33
51.6%
& 8
 
12.5%
· 8
 
12.5%
; 6
 
9.4%
# 6
 
9.4%
2
 
3.1%
% 1
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
k 2
22.2%
m 2
22.2%
p 1
11.1%
h 1
11.1%
u 1
11.1%
b 1
11.1%
s 1
11.1%
Close Punctuation
ValueCountFrequency (%)
) 366
97.1%
6
 
1.6%
5
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 366
97.1%
6
 
1.6%
5
 
1.3%
Space Separator
ValueCountFrequency (%)
699076
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 701077
98.0%
Hangul 14094
 
2.0%
Latin 213
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
703
 
5.0%
526
 
3.7%
495
 
3.5%
476
 
3.4%
465
 
3.3%
441
 
3.1%
385
 
2.7%
324
 
2.3%
264
 
1.9%
254
 
1.8%
Other values (420) 9761
69.3%
Latin
ValueCountFrequency (%)
T 29
13.6%
E 22
 
10.3%
P 20
 
9.4%
L 17
 
8.0%
D 14
 
6.6%
R 12
 
5.6%
N 11
 
5.2%
C 11
 
5.2%
M 11
 
5.2%
I 8
 
3.8%
Other values (20) 58
27.2%
Common
ValueCountFrequency (%)
699076
99.7%
2 648
 
0.1%
) 366
 
0.1%
( 366
 
0.1%
0 272
 
< 0.1%
3 147
 
< 0.1%
1 58
 
< 0.1%
. 33
 
< 0.1%
8 17
 
< 0.1%
4 14
 
< 0.1%
Other values (15) 80
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 701258
98.0%
Hangul 14094
 
2.0%
None 32
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
699076
99.7%
2 648
 
0.1%
) 366
 
0.1%
( 366
 
0.1%
0 272
 
< 0.1%
3 147
 
< 0.1%
1 58
 
< 0.1%
. 33
 
< 0.1%
T 29
 
< 0.1%
E 22
 
< 0.1%
Other values (39) 241
 
< 0.1%
Hangul
ValueCountFrequency (%)
703
 
5.0%
526
 
3.7%
495
 
3.5%
476
 
3.4%
465
 
3.3%
441
 
3.1%
385
 
2.7%
324
 
2.3%
264
 
1.9%
254
 
1.8%
Other values (420) 9761
69.3%
None
ValueCountFrequency (%)
· 8
25.0%
6
18.8%
6
18.8%
5
15.6%
5
15.6%
2
 
6.2%

입찰공고상태
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
낙찰
534 
완료(유찰)
298 
공고중
54 
품의완료
 
2
작성중
 
2

Length

Max length26
Median length26
Mean length26
Min length26

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row완료(유찰)
2nd row낙찰
3rd row낙찰
4th row낙찰
5th row완료(유찰)

Common Values

ValueCountFrequency (%)
낙찰 534
59.9%
완료(유찰) 298
33.4%
공고중 54
 
6.1%
품의완료 2
 
0.2%
작성중 2
 
0.2%
심사중 2
 
0.2%

Length

2023-12-13T02:34:26.736619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:34:26.861311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
낙찰 534
59.9%
완료(유찰 298
33.4%
공고중 54
 
6.1%
품의완료 2
 
0.2%
작성중 2
 
0.2%
심사중 2
 
0.2%
Distinct326
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
Minimum2022-01-07 00:00:00
Maximum2023-11-02 00:00:00
2023-12-13T02:34:27.032576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:34:27.168762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업무구분명
Categorical

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
물품구매
374 
일반용역
282 
매각
118 
시설공사
89 
기술용역
 
29

Length

Max length18
Median length18
Mean length18
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반용역
2nd row물품구매
3rd row물품구매
4th row시설공사
5th row일반용역

Common Values

ValueCountFrequency (%)
물품구매 374
41.9%
일반용역 282
31.6%
매각 118
 
13.2%
시설공사 89
 
10.0%
기술용역 29
 
3.3%

Length

2023-12-13T02:34:27.288004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:34:27.391381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품구매 374
41.9%
일반용역 282
31.6%
매각 118
 
13.2%
시설공사 89
 
10.0%
기술용역 29
 
3.3%

계약체결방법
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
제한경쟁
493 
수의계약
209 
일반경쟁
187 
지명경쟁
 
3

Length

Max length18
Median length18
Mean length18
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한경쟁 493
55.3%
수의계약 209
23.4%
일반경쟁 187
 
21.0%
지명경쟁 3
 
0.3%

Length

2023-12-13T02:34:27.498102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:34:27.594909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 493
55.3%
수의계약 209
23.4%
일반경쟁 187
 
21.0%
지명경쟁 3
 
0.3%

공고기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
한국마사회
892 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국마사회 892
100.0%

Length

2023-12-13T02:34:27.702476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:34:27.789290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국마사회 892
100.0%

수요기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
한국마사회
892 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국마사회 892
100.0%

Length

2023-12-13T02:34:27.880193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:34:27.970772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국마사회 892
100.0%
Distinct170
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2023-12-13T02:34:28.185412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length18.179372
Min length10

Characters and Unicode

Total characters16216
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

Unique103 ?
Unique (%)11.5%

Sample

1st row
2nd row2022-03-10
3rd row
4th row
5th row2022-03-24
ValueCountFrequency (%)
2022-03-30 8
 
2.8%
2023-03-15 7
 
2.5%
2023-03-29 5
 
1.8%
2023-08-17 5
 
1.8%
2022-03-10 5
 
1.8%
2023-04-12 5
 
1.8%
2023-03-09 4
 
1.4%
2023-03-22 4
 
1.4%
2022-06-15 4
 
1.4%
2022-04-15 4
 
1.4%
Other values (159) 233
82.0%
2023-12-13T02:34:28.590271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13376
82.5%
2 869
 
5.4%
0 660
 
4.1%
- 568
 
3.5%
3 243
 
1.5%
1 163
 
1.0%
5 72
 
0.4%
4 61
 
0.4%
9 55
 
0.3%
7 54
 
0.3%
Other values (2) 95
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Space Separator 13376
82.5%
Decimal Number 2272
 
14.0%
Dash Punctuation 568
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 869
38.2%
0 660
29.0%
3 243
 
10.7%
1 163
 
7.2%
5 72
 
3.2%
4 61
 
2.7%
9 55
 
2.4%
7 54
 
2.4%
6 52
 
2.3%
8 43
 
1.9%
Space Separator
ValueCountFrequency (%)
13376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 568
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
13376
82.5%
2 869
 
5.4%
0 660
 
4.1%
- 568
 
3.5%
3 243
 
1.5%
1 163
 
1.0%
5 72
 
0.4%
4 61
 
0.4%
9 55
 
0.3%
7 54
 
0.3%
Other values (2) 95
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13376
82.5%
2 869
 
5.4%
0 660
 
4.1%
- 568
 
3.5%
3 243
 
1.5%
1 163
 
1.0%
5 72
 
0.4%
4 61
 
0.4%
9 55
 
0.3%
7 54
 
0.3%
Other values (2) 95
 
0.6%
Distinct327
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
Minimum2022-01-19 00:00:00
Maximum2023-11-09 00:00:00
2023-12-13T02:34:28.785870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:34:28.912467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct322
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
Minimum2022-01-14 00:00:00
Maximum2023-11-09 00:00:00
2023-12-13T02:34:29.032730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:34:29.175165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

개찰장소
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
입찰 담당자 PC
784 
입찰담당자PC
 
61
입찰담당자 PC
 
20
입찰담당자 pc
 
19
계약담당자 pc
 
4
Other values (3)
 
4

Length

Max length202
Median length202
Mean length202
Min length202

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row입찰 담당자 PC
2nd row입찰 담당자 PC
3rd row입찰 담당자 PC
4th row입찰 담당자 PC
5th row입찰 담당자 PC

Common Values

ValueCountFrequency (%)
입찰 담당자 PC 784
87.9%
입찰담당자PC 61
 
6.8%
입찰담당자 PC 20
 
2.2%
입찰담당자 pc 19
 
2.1%
계약담당자 pc 4
 
0.4%
한국마사회 계약담당자PC 2
 
0.2%
제주운영지원부 1
 
0.1%
계약부 담당자 PC 1
 
0.1%

Length

2023-12-13T02:34:29.316550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:34:29.448929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pc 828
33.0%
담당자 785
31.3%
입찰 784
31.3%
입찰담당자pc 61
 
2.4%
입찰담당자 39
 
1.6%
계약담당자 4
 
0.2%
한국마사회 2
 
0.1%
계약담당자pc 2
 
0.1%
제주운영지원부 1
 
< 0.1%
계약부 1
 
< 0.1%

Interactions

2023-12-13T02:34:24.784862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:34:29.580178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공고번호G2B전송여부입찰공고상태업무구분명계약체결방법개찰장소
공고번호1.0000.0730.2600.2000.1150.312
G2B전송여부0.0731.0000.6160.3260.8870.268
입찰공고상태0.2600.6161.0000.3180.3740.205
업무구분명0.2000.3260.3181.0000.5460.646
계약체결방법0.1150.8870.3740.5461.0000.701
개찰장소0.3120.2680.2050.6460.7011.000
2023-12-13T02:34:29.724446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
G2B전송여부개찰장소계약체결방법입찰공고상태업무구분명
G2B전송여부1.0000.1220.5630.4460.271
개찰장소0.1221.0000.3750.1150.468
계약체결방법0.5630.3751.0000.2490.473
입찰공고상태0.4460.1150.2491.0000.222
업무구분명0.2710.4680.4730.2221.000
2023-12-13T02:34:29.836569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공고번호G2B전송여부입찰공고상태업무구분명계약체결방법개찰장소
공고번호1.0000.0690.1120.1520.1080.208
G2B전송여부0.0691.0000.4460.2710.5630.122
입찰공고상태0.1120.4461.0000.2220.2490.115
업무구분명0.1520.2710.2221.0000.4730.468
계약체결방법0.1080.5630.2490.4731.0000.375
개찰장소0.2080.1220.1150.4680.3751.000

Missing values

2023-12-13T02:34:24.960376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:34:25.192003image/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

공고번호G2B전송여부입찰공고명입찰공고상태입찰공고일업무구분명계약체결방법공고기관명수요기관명입찰참가자격등록마감일입찰개시일입찰마감일개찰장소
02022010270전송2022년 서울경마공원「말 사양관리 용역」완료(유찰)2022-01-29일반용역일반경쟁한국마사회한국마사회2022-03-152022-03-15입찰 담당자 PC
12022020440전송2022년 상반기 수입조사료 티모시 구매낙찰2022-03-03물품구매일반경쟁한국마사회한국마사회2022-03-102022-03-252022-03-11입찰 담당자 PC
22022030050미전송2022년 장수목장 초지관리용 화학비료 구매낙찰2022-03-10물품구매수의계약한국마사회한국마사회2022-03-112022-03-11입찰 담당자 PC
32022030190전송제주경마공원 노후 도로 재포장 공사낙찰2022-03-10시설공사제한경쟁한국마사회한국마사회2022-03-172022-03-17입찰 담당자 PC
42022030550전송부산경남경마공원 승용마 장제용역완료(유찰)2022-03-20일반용역제한경쟁한국마사회한국마사회2022-03-242022-03-252022-03-25입찰 담당자 PC
52022030560재전송2022년 한국마사회 부임이사 용역공고중2022-03-24일반용역제한경쟁한국마사회한국마사회2022-03-312022-04-012022-04-01입찰 담당자 PC
62022030740전송서울경마장 합숙소 출입문 구매 교체낙찰2022-03-29물품구매제한경쟁한국마사회한국마사회2022-04-012022-04-022022-04-02입찰 담당자 PC
72022030750전송부산경남경마공원 승용마 장제용역(재공고)완료(유찰)2022-03-25일반용역제한경쟁한국마사회한국마사회2022-03-292022-03-302022-03-30입찰 담당자 PC
82023031280전송분당지사 주출입구 캐노피 보수공사낙찰2023-03-30시설공사제한경쟁한국마사회한국마사회2023-04-052023-04-05입찰 담당자 PC
92023030730전송서울경마공원 새벽조교 응급구호 전담동물병원 운영낙찰2023-03-21일반용역제한경쟁한국마사회한국마사회2023-03-292023-03-302023-03-30입찰 담당자 PC
공고번호G2B전송여부입찰공고명입찰공고상태입찰공고일업무구분명계약체결방법공고기관명수요기관명입찰참가자격등록마감일입찰개시일입찰마감일개찰장소
8822023050410미전송장수목장 야간 진료대기 전담 동물병원 운영공고중2023-05-23일반용역수의계약한국마사회한국마사회2023-05-232023-05-23입찰 담당자 PC
8832023050440전송『2023년 국산 어린말 승마대회』운영 대행 용역(재공고)완료(유찰)2023-05-18일반용역제한경쟁한국마사회한국마사회2023-05-302023-05-30입찰 담당자 PC
8842023060230전송유휴자산 효율화 방안 연구용역(재공고)낙찰2023-06-09일반용역일반경쟁한국마사회한국마사회2023-06-202023-06-20입찰 담당자 PC
8852023060300전송부산경남경마공원 관람대 프리미엄 전동기 설치공사낙찰2023-06-15시설공사제한경쟁한국마사회한국마사회2023-06-212023-06-21입찰 담당자 PC
8862023070150미전송콘텐츠 제작 CG장비 구매낙찰2023-07-12물품구매수의계약한국마사회한국마사회2023-07-222023-07-21입찰 담당자 PC
8872023070240전송제주경마공원 영상감시장치 설치공사낙찰2023-07-21시설공사제한경쟁한국마사회한국마사회2023-07-272023-07-27입찰 담당자 PC
8882023070250전송제주본부 업무용 차량 구매(재공고)완료(유찰)2023-07-22물품구매일반경쟁한국마사회한국마사회2023-07-272023-07-282023-07-28입찰 담당자 PC
8892023070440전송서울경마공원 마사지역 도로 재포장 공사낙찰2023-07-28시설공사제한경쟁한국마사회한국마사회2023-08-042023-08-04입찰 담당자 PC
8902023070460전송2023년 정보보안 및 개인정보보호 컨설팅(재공고)완료(유찰)2023-07-29일반용역제한경쟁한국마사회한국마사회2023-08-092023-08-09입찰 담당자 PC
8912023080050전송서울경마공원 F&B 운영개선 용역(재공고)완료(유찰)2023-08-18일반용역제한경쟁한국마사회한국마사회2023-08-302023-08-30입찰 담당자 PC