Overview

Dataset statistics

Number of variables7
Number of observations4776
Missing cells292
Missing cells (%)0.9%
Duplicate rows169
Duplicate rows (%)3.5%
Total size in memory266.0 KiB
Average record size in memory57.0 B

Variable types

Text3
Numeric1
Categorical2
DateTime1

Dataset

Description지역난방공사에서 발주한 구매,용역,공사 입찰 정보 제공(건명,구분,개찰일,상태,담당부서) 해당 데이터는 현재 API를 이용하여 실시간으로 받아보실 수 있습니다.
URLhttps://www.data.go.kr/data/15082992/fileData.do

Alerts

Dataset has 169 (3.5%) duplicate rowsDuplicates
개찰일 has 292 (6.1%) missing valuesMissing
변경차수 has 4470 (93.6%) zerosZeros

Reproduction

Analysis started2023-12-12 16:27:48.113366
Analysis finished2023-12-12 16:27:49.122914
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

입찰공고번호
Text

Distinct4563
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
2023-12-13T01:27:49.304490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters57312
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4350 ?
Unique (%)91.1%

Sample

1st row403200-22012
2nd row601100-22012
3rd row601100-22011
4th row401100-22020
5th row601100-22010
ValueCountFrequency (%)
202100-21011 2
 
< 0.1%
303100-21015 2
 
< 0.1%
100061-21004 2
 
< 0.1%
311100-21012 2
 
< 0.1%
307100-21013 2
 
< 0.1%
311100-21013 2
 
< 0.1%
100406-21003 2
 
< 0.1%
305100-21013 2
 
< 0.1%
401100-21011 2
 
< 0.1%
311100-21014 2
 
< 0.1%
Other values (4553) 4756
99.6%
2023-12-13T01:27:49.668117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18896
33.0%
1 12253
21.4%
2 6094
 
10.6%
- 4776
 
8.3%
3 4503
 
7.9%
4 3513
 
6.1%
5 3318
 
5.8%
6 1266
 
2.2%
8 960
 
1.7%
7 903
 
1.6%
Other values (7) 830
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52513
91.6%
Dash Punctuation 4776
 
8.3%
Uppercase Letter 23
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18896
36.0%
1 12253
23.3%
2 6094
 
11.6%
3 4503
 
8.6%
4 3513
 
6.7%
5 3318
 
6.3%
6 1266
 
2.4%
8 960
 
1.8%
7 903
 
1.7%
9 807
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
H 10
43.5%
E 5
21.7%
B 4
 
17.4%
D 2
 
8.7%
Z 1
 
4.3%
A 1
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 4776
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57289
> 99.9%
Latin 23
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18896
33.0%
1 12253
21.4%
2 6094
 
10.6%
- 4776
 
8.3%
3 4503
 
7.9%
4 3513
 
6.1%
5 3318
 
5.8%
6 1266
 
2.2%
8 960
 
1.7%
7 903
 
1.6%
Latin
ValueCountFrequency (%)
H 10
43.5%
E 5
21.7%
B 4
 
17.4%
D 2
 
8.7%
Z 1
 
4.3%
A 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18896
33.0%
1 12253
21.4%
2 6094
 
10.6%
- 4776
 
8.3%
3 4503
 
7.9%
4 3513
 
6.1%
5 3318
 
5.8%
6 1266
 
2.2%
8 960
 
1.7%
7 903
 
1.6%
Other values (7) 830
 
1.4%

변경차수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.078308208
Minimum0
Maximum5
Zeros4470
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size42.1 KiB
2023-12-13T01:27:49.785484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.32831881
Coefficient of variation (CV)4.1926488
Kurtosis37.771173
Mean0.078308208
Median Absolute Deviation (MAD)0
Skewness5.3208183
Sum374
Variance0.10779324
MonotonicityNot monotonic
2023-12-13T01:27:49.875757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4470
93.6%
1 250
 
5.2%
2 48
 
1.0%
3 5
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 4470
93.6%
1 250
 
5.2%
2 48
 
1.0%
3 5
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 2
 
< 0.1%
3 5
 
0.1%
2 48
 
1.0%
1 250
 
5.2%
0 4470
93.6%

건명
Text

Distinct3940
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
2023-12-13T01:27:50.104050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length44
Mean length25.838777
Min length7

Characters and Unicode

Total characters123406
Distinct characters604
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3310 ?
Unique (%)69.3%

Sample

1st row양산지사 DH polisher 여재 구매
2nd rowBed Ash Z-type Cnvy 제작 구매 설치
3rd rowBed Ash Z-type Cnvy' 제작 구매 설치
4th row우드칩 Main Steam 온도조절기 액추에이터 보수용 자재 구매
5th rowBed Ash Z-type Cnvy 제작 구매 설치
ValueCountFrequency (%)
구매 1397
 
5.7%
2021년 758
 
3.1%
용역 659
 
2.7%
및 627
 
2.5%
단가계약 304
 
1.2%
유지보수용역 282
 
1.1%
2021년도 258
 
1.0%
2014년 226
 
0.9%
파주지사 224
 
0.9%
2015년 210
 
0.9%
Other values (4028) 19705
79.9%
2023-12-13T01:27:50.565783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19994
 
16.2%
2 4444
 
3.6%
사 4080
 
3.3%
지 3206
 
2.6%
0 2721
 
2.2%
용 2508
 
2.0%
구 2398
 
1.9%
년 2348
 
1.9%
기 2306
 
1.9%
수 2155
 
1.7%
Other values (594) 77246
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84002
68.1%
Space Separator 19994
 
16.2%
Decimal Number 10460
 
8.5%
Uppercase Letter 3540
 
2.9%
Lowercase Letter 3052
 
2.5%
Close Punctuation 805
 
0.7%
Open Punctuation 803
 
0.7%
Other Punctuation 573
 
0.5%
Dash Punctuation 87
 
0.1%
Math Symbol 81
 
0.1%
Other values (5) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 4080
 
4.9%
지 3206
 
3.8%
용 2508
 
3.0%
구 2398
 
2.9%
년 2348
 
2.8%
기 2306
 
2.7%
수 2155
 
2.6%
공 2117
 
2.5%
설 2113
 
2.5%
매 1948
 
2.3%
Other values (507) 58823
70.0%
Lowercase Letter
ValueCountFrequency (%)
e 349
11.4%
r 297
9.7%
a 278
9.1%
t 276
9.0%
i 260
8.5%
l 247
 
8.1%
n 227
 
7.4%
o 211
 
6.9%
p 141
 
4.6%
u 137
 
4.5%
Other values (16) 629
20.6%
Uppercase Letter
ValueCountFrequency (%)
S 493
13.9%
C 401
 
11.3%
P 324
 
9.2%
H 215
 
6.1%
E 188
 
5.3%
D 174
 
4.9%
L 162
 
4.6%
R 162
 
4.6%
T 159
 
4.5%
M 152
 
4.3%
Other values (15) 1110
31.4%
Decimal Number
ValueCountFrequency (%)
2 4444
42.5%
0 2721
26.0%
1 2130
20.4%
4 405
 
3.9%
5 383
 
3.7%
6 206
 
2.0%
3 126
 
1.2%
9 22
 
0.2%
7 14
 
0.1%
8 9
 
0.1%
Other Punctuation
ValueCountFrequency (%)
# 171
29.8%
, 123
21.5%
· 99
17.3%
/ 99
17.3%
. 58
 
10.1%
' 22
 
3.8%
＆ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 782
97.1%
] 14
 
1.7%
』 5
 
0.6%
」 4
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 780
97.1%
[ 14
 
1.7%
『 5
 
0.6%
「 4
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 80
98.8%
+ 1
 
1.2%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
66.7%
“ 1
33.3%
Final Punctuation
ValueCountFrequency (%)
’ 1
50.0%
” 1
50.0%
Space Separator
ValueCountFrequency (%)
19994
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎟ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84001
68.1%
Common 32812
 
26.6%
Latin 6592
 
5.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 4080
 
4.9%
지 3206
 
3.8%
용 2508
 
3.0%
구 2398
 
2.9%
년 2348
 
2.8%
기 2306
 
2.7%
수 2155
 
2.6%
공 2117
 
2.5%
설 2113
 
2.5%
매 1948
 
2.3%
Other values (506) 58822
70.0%
Latin
ValueCountFrequency (%)
S 493
 
7.5%
C 401
 
6.1%
e 349
 
5.3%
P 324
 
4.9%
r 297
 
4.5%
a 278
 
4.2%
t 276
 
4.2%
i 260
 
3.9%
l 247
 
3.7%
n 227
 
3.4%
Other values (41) 3440
52.2%
Common
ValueCountFrequency (%)
19994
60.9%
2 4444
 
13.5%
0 2721
 
8.3%
1 2130
 
6.5%
) 782
 
2.4%
( 780
 
2.4%
4 405
 
1.2%
5 383
 
1.2%
6 206
 
0.6%
# 171
 
0.5%
Other values (26) 796
 
2.4%
Han
ValueCountFrequency (%)
溫 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84000
68.1%
ASCII 39279
31.8%
None 119
 
0.1%
Punctuation 5
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19994
50.9%
2 4444
 
11.3%
0 2721
 
6.9%
1 2130
 
5.4%
) 782
 
2.0%
( 780
 
2.0%
S 493
 
1.3%
4 405
 
1.0%
C 401
 
1.0%
5 383
 
1.0%
Other values (65) 6746
 
17.2%
Hangul
ValueCountFrequency (%)
사 4080
 
4.9%
지 3206
 
3.8%
용 2508
 
3.0%
구 2398
 
2.9%
년 2348
 
2.8%
기 2306
 
2.7%
수 2155
 
2.6%
공 2117
 
2.5%
설 2113
 
2.5%
매 1948
 
2.3%
Other values (505) 58821
70.0%
None
ValueCountFrequency (%)
· 99
83.2%
『 5
 
4.2%
』 5
 
4.2%
「 4
 
3.4%
」 4
 
3.4%
₂ 1
 
0.8%
＆ 1
 
0.8%
Punctuation
ValueCountFrequency (%)
‘ 2
40.0%
’ 1
20.0%
” 1
20.0%
“ 1
20.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎟ 1
100.0%
CJK
ValueCountFrequency (%)
溫 1
100.0%

구분
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
구매
1975 
용역
1897 
공사
891 
보험
 
13

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구매 1975
41.4%
용역 1897
39.7%
공사 891
18.7%
보험 13
 
0.3%

Length

2023-12-13T01:27:50.707978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:27:50.807545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구매 1975
41.4%
용역 1897
39.7%
공사 891
18.7%
보험 13
 
0.3%

개찰일
Date

MISSING 

Distinct857
Distinct (%)19.1%
Missing292
Missing (%)6.1%
Memory size37.4 KiB
Minimum2014-01-02 00:00:00
Maximum2022-03-29 00:00:00
2023-12-13T01:27:50.944155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:27:51.400678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상태
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
낙찰
2499 
마감
1591 
취소
291 
유찰
267 
개찰
 
74

Length

Max length3
Median length2
Mean length2.0113065
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개찰
2nd row낙찰
3rd row취소
4th row낙찰
5th row취소

Common Values

ValueCountFrequency (%)
낙찰 2499
52.3%
마감 1591
33.3%
취소 291
 
6.1%
유찰 267
 
5.6%
개찰 74
 
1.5%
진행중 54
 
1.1%

Length

2023-12-13T01:27:51.525150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:27:51.628833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
낙찰 2499
52.3%
마감 1591
33.3%
취소 291
 
6.1%
유찰 267
 
5.6%
개찰 74
 
1.5%
진행중 54
 
1.1%

담당
Text

Distinct84
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
2023-12-13T01:27:51.857132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length10.589405
Min length4

Characters and Unicode

Total characters50575
Distinct characters102
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.2%

Sample

1st row양산지사 고객지원부
2nd row광주전남지사 고객지원부
3rd row광주전남지사 고객지원부
4th row대구지사 고객지원부
5th row광주전남지사 고객지원부
ValueCountFrequency (%)
고객지원부 2406
23.7%
재무처 1108
 
10.9%
고객지원팀 1100
 
10.8%
계약부 611
 
6.0%
계약팀 368
 
3.6%
대구지사 302
 
3.0%
청주지사 286
 
2.8%
북부사업본부 263
 
2.6%
중앙지사 261
 
2.6%
파주지사 253
 
2.5%
Other values (60) 3212
31.6%
2023-12-13T01:27:52.282735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6473
12.8%
5394
 
10.7%
부 4542
 
9.0%
사 4169
 
8.2%
원 3822
 
7.6%
고 3787
 
7.5%
객 3571
 
7.1%
팀 1615
 
3.2%
업 1233
 
2.4%
처 1220
 
2.4%
Other values (92) 14749
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45177
89.3%
Space Separator 5394
 
10.7%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6473
14.3%
부 4542
 
10.1%
사 4169
 
9.2%
원 3822
 
8.5%
고 3787
 
8.4%
객 3571
 
7.9%
팀 1615
 
3.6%
업 1233
 
2.7%
처 1220
 
2.7%
무 1137
 
2.5%
Other values (89) 13608
30.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
F 2
50.0%
Space Separator
ValueCountFrequency (%)
5394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45177
89.3%
Common 5394
 
10.7%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6473
14.3%
부 4542
 
10.1%
사 4169
 
9.2%
원 3822
 
8.5%
고 3787
 
8.4%
객 3571
 
7.9%
팀 1615
 
3.6%
업 1233
 
2.7%
처 1220
 
2.7%
무 1137
 
2.5%
Other values (89) 13608
30.1%
Latin
ValueCountFrequency (%)
T 2
50.0%
F 2
50.0%
Common
ValueCountFrequency (%)
5394
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45177
89.3%
ASCII 5398
 
10.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6473
14.3%
부 4542
 
10.1%
사 4169
 
9.2%
원 3822
 
8.5%
고 3787
 
8.4%
객 3571
 
7.9%
팀 1615
 
3.6%
업 1233
 
2.7%
처 1220
 
2.7%
무 1137
 
2.5%
Other values (89) 13608
30.1%
ASCII
ValueCountFrequency (%)
5394
99.9%
T 2
 
< 0.1%
F 2
 
< 0.1%

Interactions

2023-12-13T01:27:48.787812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:27:52.401673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
변경차수구분상태담당
변경차수1.0000.0000.2940.404
구분0.0001.0000.3520.410
상태0.2940.3521.0000.793
담당0.4040.4100.7931.000
2023-12-13T01:27:52.507160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상태구분
상태1.0000.234
구분0.2341.000
2023-12-13T01:27:52.607705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
변경차수구분상태
변경차수1.0000.0000.110
구분0.0001.0000.234
상태0.1100.2341.000

Missing values

2023-12-13T01:27:48.960940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:27:49.074507image/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

입찰공고번호변경차수건명구분개찰일상태담당
0403200-220120양산지사 DH polisher 여재 구매구매2022-03-07개찰양산지사 고객지원부
1601100-220120Bed Ash Z-type Cnvy 제작 구매 설치구매2022-03-07낙찰광주전남지사 고객지원부
2601100-220110Bed Ash Z-type Cnvy' 제작 구매 설치구매2022-03-07취소광주전남지사 고객지원부
3401100-220200우드칩 Main Steam 온도조절기 액추에이터 보수용 자재 구매구매2022-03-02낙찰대구지사 고객지원부
4601100-220100Bed Ash Z-type Cnvy 제작 구매 설치구매2022-03-07취소광주전남지사 고객지원부
5601100-220090Bed Ash Z-type Cnvy' 제작 구매 설치구매2022-03-07취소광주전남지사 고객지원부
6601100-2200802022년도 SRF 연료저장동 악취제거탑 활성탄 구매설치구매2022-02-28낙찰광주전남지사 고객지원부
7601100-220070LNG Burner 점화장치 구매구매2022-02-28낙찰광주전남지사 고객지원부
8100354-220590미래개발원 그린허브 통합 에너지 모니터링 시스템 구축구매2022-02-28낙찰재무처 계약부
9311100-220110광교지사 순수생산설비 역삼투막(RO) 멤브레인 구매구매2022-02-28낙찰광교지사 고객지원부
입찰공고번호변경차수건명구분개찰일상태담당
4766501100-1305412014년 청주지사 배연탈황용 석회석 구매 연간단가계약구매2014-01-07마감청주지사 고객지원팀
4767100354-131680광주전남공동혁신도시 집단에너지시설 건설공사공사2014-01-07마감재무처 동반성장팀
4768309100-1303302014년도 판교지사 화공약품 구매 단가계약구매2014-01-07마감판교지사 고객지원팀
4769100354-131960서울특별시 폐자원에너지 활용 집단에너지사업 추진방안 연구(재공고)용역2014-01-07마감재무처 동반성장팀
4770501100-1305202014년 청주지사 세관폐수 위탁처리 용역 연간단가계약용역2014-01-07마감청주지사 고객지원팀
4771100354-131930수도권지사 수처리설비 구매구매2014-01-06마감재무처 동반성장팀
4772501100-1305302014년 청주지사 사업장폐기물 위탁처리 용역 연간단가계약(재공고)용역2014-01-06마감청주지사 고객지원팀
4773100354-132010전기영업시스템 보완개선 용역(재공고)용역2014-01-06마감재무처 동반성장팀
4774100354-1320502014년도 문서수발 대행용역(재공고)용역2014-01-03마감재무처 동반성장팀
4775401100-1304902014년 환경오염물질 위탁측정용역 단가계약용역2014-01-02마감대구지사 고객지원팀

Duplicate rows

Most frequently occurring

입찰공고번호변경차수건명구분개찰일상태담당# duplicates
0100061-210030한국지역난방공사 홍보용 쇼핑백(대) 구매구매2021-02-08낙찰사회가치혁신실 홍보부2
1100061-210040대외홍보용 기념품(커피잔세트) 구매구매2021-03-08낙찰사회가치혁신실 홍보부2
2100308-2100202021년 본사사옥 전기안전관리 대행용역용역2021-02-04낙찰경영지원처 총무부2
3100308-2100302021년 본사사옥 소방설비 점검용역용역2021-03-12낙찰경영지원처 총무부2
4100308-2100402021년 미래개발원 소나무 재선충 방제작업용역2021-03-18낙찰경영지원처 총무부2
5100354-210261태백바이오매스 1차 사업자 공모(금융주선)용역2021-02-24개찰재무처 계약부2
6100354-210270가스터빈 부품 형상 정보 확보 용역용역2021-02-03낙찰재무처 계약부2
7100354-210280수전라인 절연상태 감시 시스템 구매설치구매2021-02-10낙찰재무처 계약부2
8100354-210290양산 사송 열수송 연계시설 건설공사 설비감시용 영상정보 시스템 구매구매2021-02-05낙찰재무처 계약부2
9100354-210300제36기 결산서 등 제본구매2021-02-08낙찰재무처 계약부2