Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows4
Duplicate rows (%)< 0.1%
Total size in memory634.8 KiB
Average record size in memory65.0 B

Variable types

Categorical3
Text2
DateTime1
Numeric1

Dataset

Description한국남동발전의 연도별 중소기업 제품 구매 실적 데이터 입니다. 구매사업소, 구매제품, 업체명, 구매일자, 구매금액 등에 대한 정보입니다.
Author한국남동발전㈜
URLhttps://www.data.go.kr/data/15040197/fileData.do

Alerts

기업구분 has constant value ""Constant
Dataset has 4 (< 0.1%) duplicate rowsDuplicates
계약종별 is highly imbalanced (50.4%)Imbalance
구매금액(천원) is highly skewed (γ1 = 27.4565062)Skewed

Reproduction

Analysis started2023-12-12 08:53:29.059164
Analysis finished2023-12-12 08:53:30.770722
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구매사업소
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
삼천포화력
2427 
본사
2110 
영흥화력
1686 
여수화력
1312 
영동화력
939 
Other values (3)
1526 

Length

Max length6
Median length5
Mean length4.0248
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row삼천포화력
2nd rowOE사업처
3rd rowOE사업처
4th row영흥화력
5th row본사

Common Values

ValueCountFrequency (%)
삼천포화력 2427
24.3%
본사 2110
21.1%
영흥화력 1686
16.9%
여수화력 1312
13.1%
영동화력 939
 
9.4%
OE사업처 887
 
8.9%
분당복합화력 515
 
5.1%
동반성장처 124
 
1.2%

Length

2023-12-12T17:53:30.884554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:53:31.066799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
삼천포화력 2427
24.3%
본사 2110
21.1%
영흥화력 1686
16.9%
여수화력 1312
13.1%
영동화력 939
 
9.4%
oe사업처 887
 
8.9%
분당복합화력 515
 
5.1%
동반성장처 124
 
1.2%
Distinct9030
Distinct (%)90.3%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T17:53:31.483225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length23.731673
Min length1

Characters and Unicode

Total characters237293
Distinct characters810
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8627 ?
Unique (%)86.3%

Sample

1st row단가자재대 절연장갑 200켤래 박재현
2nd row취약계층기부를 위한 농산물 구매(1)
3rd row코로나대비 방역소독
4th row(장현빈)5,6호기 터빈설비 안전
5th row환경의날 기념 3-green 캠페인 행사준비물품 대금지급
ValueCountFrequency (%)
구매 2148
 
4.5%
지급 1816
 
3.8%
대금 850
 
1.8%
808
 
1.7%
지불 534
 
1.1%
2020년 473
 
1.0%
구매대금 421
 
0.9%
관련 355
 
0.7%
구입 333
 
0.7%
20년 301
 
0.6%
Other values (11951) 39449
83.1%
2023-12-12T17:53:32.087653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37541
 
15.8%
5221
 
2.2%
5077
 
2.1%
4978
 
2.1%
4583
 
1.9%
1 4245
 
1.8%
3976
 
1.7%
( 3842
 
1.6%
) 3789
 
1.6%
0 3653
 
1.5%
Other values (800) 160388
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155918
65.7%
Space Separator 37541
 
15.8%
Decimal Number 18823
 
7.9%
Uppercase Letter 6731
 
2.8%
Lowercase Letter 5467
 
2.3%
Open Punctuation 4035
 
1.7%
Close Punctuation 3983
 
1.7%
Other Punctuation 2641
 
1.1%
Connector Punctuation 1347
 
0.6%
Dash Punctuation 440
 
0.2%
Other values (5) 367
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5221
 
3.3%
5077
 
3.3%
4978
 
3.2%
4583
 
2.9%
3976
 
2.6%
3627
 
2.3%
3593
 
2.3%
3392
 
2.2%
3302
 
2.1%
2927
 
1.9%
Other values (705) 115242
73.9%
Uppercase Letter
ValueCountFrequency (%)
S 663
 
9.8%
C 588
 
8.7%
P 565
 
8.4%
E 518
 
7.7%
O 500
 
7.4%
T 473
 
7.0%
A 370
 
5.5%
G 330
 
4.9%
H 292
 
4.3%
B 281
 
4.2%
Other values (16) 2151
32.0%
Lowercase Letter
ValueCountFrequency (%)
e 835
15.3%
i 505
9.2%
n 499
9.1%
o 460
 
8.4%
r 452
 
8.3%
l 439
 
8.0%
a 417
 
7.6%
t 347
 
6.3%
c 180
 
3.3%
u 176
 
3.2%
Other values (15) 1157
21.2%
Other Punctuation
ValueCountFrequency (%)
, 1117
42.3%
# 965
36.5%
/ 199
 
7.5%
' 165
 
6.2%
. 140
 
5.3%
· 16
 
0.6%
& 15
 
0.6%
% 9
 
0.3%
: 7
 
0.3%
" 6
 
0.2%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 4245
22.6%
0 3653
19.4%
2 3523
18.7%
4 2099
11.2%
3 1230
 
6.5%
5 1103
 
5.9%
6 1064
 
5.7%
9 990
 
5.3%
7 531
 
2.8%
8 385
 
2.0%
Math Symbol
ValueCountFrequency (%)
~ 308
96.6%
+ 5
 
1.6%
3
 
0.9%
> 1
 
0.3%
× 1
 
0.3%
< 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 3842
95.2%
[ 187
 
4.6%
5
 
0.1%
1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3789
95.1%
] 188
 
4.7%
5
 
0.1%
1
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
37541
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 440
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 38
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155915
65.7%
Common 69177
29.2%
Latin 12198
 
5.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5221
 
3.3%
5077
 
3.3%
4978
 
3.2%
4583
 
2.9%
3976
 
2.6%
3627
 
2.3%
3593
 
2.3%
3392
 
2.2%
3302
 
2.1%
2927
 
1.9%
Other values (704) 115239
73.9%
Latin
ValueCountFrequency (%)
e 835
 
6.8%
S 663
 
5.4%
C 588
 
4.8%
P 565
 
4.6%
E 518
 
4.2%
i 505
 
4.1%
O 500
 
4.1%
n 499
 
4.1%
T 473
 
3.9%
o 460
 
3.8%
Other values (41) 6592
54.0%
Common
ValueCountFrequency (%)
37541
54.3%
1 4245
 
6.1%
( 3842
 
5.6%
) 3789
 
5.5%
0 3653
 
5.3%
2 3523
 
5.1%
4 2099
 
3.0%
_ 1347
 
1.9%
3 1230
 
1.8%
, 1117
 
1.6%
Other values (34) 6791
 
9.8%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155912
65.7%
ASCII 81333
34.3%
None 29
 
< 0.1%
Punctuation 6
 
< 0.1%
Misc Symbols 4
 
< 0.1%
Math Operators 3
 
< 0.1%
Compat Jamo 3
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37541
46.2%
1 4245
 
5.2%
( 3842
 
4.7%
) 3789
 
4.7%
0 3653
 
4.5%
2 3523
 
4.3%
4 2099
 
2.6%
_ 1347
 
1.7%
3 1230
 
1.5%
, 1117
 
1.4%
Other values (74) 18947
23.3%
Hangul
ValueCountFrequency (%)
5221
 
3.3%
5077
 
3.3%
4978
 
3.2%
4583
 
2.9%
3976
 
2.6%
3627
 
2.3%
3593
 
2.3%
3392
 
2.2%
3302
 
2.1%
2927
 
1.9%
Other values (703) 115236
73.9%
None
ValueCountFrequency (%)
· 16
55.2%
5
 
17.2%
5
 
17.2%
1
 
3.4%
1
 
3.4%
× 1
 
3.4%
Math Operators
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
3
50.0%
3
50.0%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
CJK
ValueCountFrequency (%)
3
100.0%
Misc Symbols
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Distinct2444
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:53:32.355399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length8.1021
Min length2

Characters and Unicode

Total characters81021
Distinct characters668
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1283 ?
Unique (%)12.8%

Sample

1st rowSH테크
2nd row안산농업협동조합 하나로마트
3rd row합자회사 영동방역위생공사
4th row에스제이종합상사
5th row디자인마루
ValueCountFrequency (%)
주식회사 2045
 
15.4%
디자인마루 244
 
1.8%
한국발전기술주식회사 202
 
1.5%
원일산업 154
 
1.2%
바이런시스템 141
 
1.1%
131
 
1.0%
맑은기업 126
 
0.9%
삼보유통기획 125
 
0.9%
동양광고 121
 
0.9%
주)대영하이텍 119
 
0.9%
Other values (2623) 9858
74.3%
2023-12-12T17:53:32.802235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5404
 
6.7%
4098
 
5.1%
3268
 
4.0%
2979
 
3.7%
) 2753
 
3.4%
( 2750
 
3.4%
2569
 
3.2%
2150
 
2.7%
1709
 
2.1%
1304
 
1.6%
Other values (658) 52037
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70095
86.5%
Space Separator 3268
 
4.0%
Close Punctuation 2753
 
3.4%
Open Punctuation 2750
 
3.4%
Uppercase Letter 1677
 
2.1%
Lowercase Letter 139
 
0.2%
Other Punctuation 126
 
0.2%
Dash Punctuation 110
 
0.1%
Decimal Number 52
 
0.1%
Connector Punctuation 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5404
 
7.7%
4098
 
5.8%
2979
 
4.2%
2569
 
3.7%
2150
 
3.1%
1709
 
2.4%
1304
 
1.9%
1172
 
1.7%
1035
 
1.5%
937
 
1.3%
Other values (592) 46738
66.7%
Lowercase Letter
ValueCountFrequency (%)
n 19
13.7%
e 18
12.9%
o 17
12.2%
t 13
9.4%
a 10
 
7.2%
d 9
 
6.5%
i 9
 
6.5%
r 6
 
4.3%
c 6
 
4.3%
h 6
 
4.3%
Other values (13) 26
18.7%
Uppercase Letter
ValueCountFrequency (%)
S 210
12.5%
E 183
10.9%
R 145
 
8.6%
N 126
 
7.5%
O 122
 
7.3%
C 112
 
6.7%
T 94
 
5.6%
K 89
 
5.3%
J 87
 
5.2%
A 86
 
5.1%
Other values (12) 423
25.2%
Decimal Number
ValueCountFrequency (%)
3 12
23.1%
9 8
15.4%
2 7
13.5%
1 6
11.5%
4 5
9.6%
5 5
9.6%
0 4
 
7.7%
7 2
 
3.8%
8 2
 
3.8%
6 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 71
56.3%
& 29
23.0%
, 13
 
10.3%
/ 12
 
9.5%
* 1
 
0.8%
Space Separator
ValueCountFrequency (%)
3268
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2753
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2750
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 27
100.0%
Other Symbol
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70111
86.5%
Common 9086
 
11.2%
Latin 1816
 
2.2%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5404
 
7.7%
4098
 
5.8%
2979
 
4.2%
2569
 
3.7%
2150
 
3.1%
1709
 
2.4%
1304
 
1.9%
1172
 
1.7%
1035
 
1.5%
937
 
1.3%
Other values (585) 46754
66.7%
Latin
ValueCountFrequency (%)
S 210
 
11.6%
E 183
 
10.1%
R 145
 
8.0%
N 126
 
6.9%
O 122
 
6.7%
C 112
 
6.2%
T 94
 
5.2%
K 89
 
4.9%
J 87
 
4.8%
A 86
 
4.7%
Other values (35) 562
30.9%
Common
ValueCountFrequency (%)
3268
36.0%
) 2753
30.3%
( 2750
30.3%
- 110
 
1.2%
. 71
 
0.8%
& 29
 
0.3%
_ 27
 
0.3%
, 13
 
0.1%
/ 12
 
0.1%
3 12
 
0.1%
Other values (10) 41
 
0.5%
Han
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70087
86.5%
ASCII 10902
 
13.5%
None 24
 
< 0.1%
CJK 8
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5404
 
7.7%
4098
 
5.8%
2979
 
4.3%
2569
 
3.7%
2150
 
3.1%
1709
 
2.4%
1304
 
1.9%
1172
 
1.7%
1035
 
1.5%
937
 
1.3%
Other values (584) 46730
66.7%
ASCII
ValueCountFrequency (%)
3268
30.0%
) 2753
25.3%
( 2750
25.2%
S 210
 
1.9%
E 183
 
1.7%
R 145
 
1.3%
N 126
 
1.2%
O 122
 
1.1%
C 112
 
1.0%
- 110
 
1.0%
Other values (55) 1123
 
10.3%
None
ValueCountFrequency (%)
24
100.0%
CJK
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

계약종별
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
물품
7754 
용역
1245 
공사
1000 
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0002
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
물품 7754
77.5%
용역 1245
 
12.4%
공사 1000
 
10.0%
<NA> 1
 
< 0.1%

Length

2023-12-12T17:53:32.973890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:53:33.111612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물품 7754
77.5%
용역 1245
 
12.4%
공사 1000
 
10.0%
na 1
 
< 0.1%
Distinct301
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-01-01 00:00:00
Maximum2021-01-11 00:00:00
2023-12-12T17:53:33.265687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:53:33.452415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구매금액(천원)
Real number (ℝ)

SKEWED 

Distinct5342
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32129.335
Minimum4
Maximum8430990
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:53:33.693356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile110
Q1506
median3000
Q314933
95-th percentile155141.75
Maximum8430990
Range8430986
Interquartile range (IQR)14427

Descriptive statistics

Standard deviation142109.23
Coefficient of variation (CV)4.4230369
Kurtosis1357.733
Mean32129.335
Median Absolute Deviation (MAD)2725.5
Skewness27.456506
Sum3.2129335 × 108
Variance2.0195035 × 1010
MonotonicityNot monotonic
2023-12-12T17:53:33.850337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 95
 
0.9%
300 60
 
0.6%
220 51
 
0.5%
4950 45
 
0.4%
1500 42
 
0.4%
440 41
 
0.4%
5390 41
 
0.4%
200 40
 
0.4%
330 39
 
0.4%
5280 38
 
0.4%
Other values (5332) 9508
95.1%
ValueCountFrequency (%)
4 3
< 0.1%
6 2
 
< 0.1%
7 3
< 0.1%
8 2
 
< 0.1%
9 7
0.1%
10 2
 
< 0.1%
11 4
< 0.1%
12 2
 
< 0.1%
14 4
< 0.1%
15 6
0.1%
ValueCountFrequency (%)
8430990 1
< 0.1%
4444217 1
< 0.1%
3300578 1
< 0.1%
1652399 1
< 0.1%
1501414 1
< 0.1%
1481421 1
< 0.1%
1430000 1
< 0.1%
1421440 1
< 0.1%
1418786 1
< 0.1%
1408420 1
< 0.1%

기업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
중소기업
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중소기업 10000
100.0%

Length

2023-12-12T17:53:34.003665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:53:34.107136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소기업 10000
100.0%

Interactions

2023-12-12T17:53:30.393996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:53:34.183593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구매사업소계약종별구매금액(천원)
구매사업소1.0000.3090.075
계약종별0.3091.0000.123
구매금액(천원)0.0750.1231.000
2023-12-12T17:53:34.308119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구매사업소계약종별
구매사업소1.0000.206
계약종별0.2061.000
2023-12-12T17:53:34.410138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구매금액(천원)구매사업소계약종별
구매금액(천원)1.0000.0460.093
구매사업소0.0461.0000.206
계약종별0.0930.2061.000

Missing values

2023-12-12T17:53:30.560366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:53:30.697284image/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

구매사업소구매제품업체명계약종별구매일자구매금액(천원)기업구분
9848삼천포화력단가자재대 절연장갑 200켤래 박재현SH테크물품2020-12-24513중소기업
4599OE사업처취약계층기부를 위한 농산물 구매(1)안산농업협동조합 하나로마트물품2020-06-226919중소기업
3739OE사업처코로나대비 방역소독합자회사 영동방역위생공사용역2020-05-26300중소기업
8878영흥화력(장현빈)5,6호기 터빈설비 안전에스제이종합상사물품2020-11-265198중소기업
4630본사환경의날 기념 3-green 캠페인 행사준비물품 대금지급디자인마루물품2020-06-22468중소기업
1854분당복합화력2020경상정비 1,2월 기성금_노무비(KEPS)한국발전기술주식회사공사2020-03-23400558중소기업
862삼천포화력2020년 1월 #5,6 환경설비개선사업 토건공사용 철근 운송비오아시스물류 주식회사용역2020-02-173437중소기업
8518OE사업처노사안건 중 강릉사업실 직원 복지 증진을 위한 물품 구매한남스포츠물품2020-11-16429중소기업
10196여수화력본부 4분기 명함 및 명찰 제작 대금 지급삼보유통기획물품2020-12-30792중소기업
2165영동화력항균필름 구입비용 지불건일종합상사물품2020-03-3077중소기업
구매사업소구매제품업체명계약종별구매일자구매금액(천원)기업구분
3161영흥화력#6 비회 Dome VV 정비자재 대금지급비디아이(주)물품2020-05-07250000중소기업
10172영동화력4분기 소내 폐수 분석 측정대금 지급주식회사 세현에코텍물품2020-12-303000중소기업
3086본사2019년도 반부패, 청렴 컨설팅 용역 준공금 지급(주)화유플라워앤원예치료센터용역2020-04-30460중소기업
6922삼천포화력98104747 이남중성원이엔지물품2020-09-10677중소기업
5845본사품질경영부 직원 명함, 명찰 및 품질검사용 스탬프 구매대금 지급주식회사 맑은기업물품2020-07-281980중소기업
6365본사위험성평가 컨설팅 대금 지급(주)연우나오텍물품2020-08-195390중소기업
8012삼천포화력석탄설비 7월 기성고_OES_일반_1발전기부옵티멀에너지서비스 주식회사공사2020-10-3010501중소기업
888OE사업처공사관리부 전입직원 명함제작 비용 납부현대마크사물품2020-02-1733중소기업
1993영흥화력5,6호기 수질분석용 DO계측기 소모품 구매(주)대영하이텍물품2020-03-255385중소기업
10315OE사업처강릉안인화력 시운전실 통신용품 구매 시행(주)아이티넷물품2020-12-3110296중소기업

Duplicate rows

Most frequently occurring

구매사업소구매제품업체명계약종별구매일자구매금액(천원)기업구분# duplicates
0OE사업처강릉사업실 건축부 회의용 음료 구매데자뷰(Deja-vu)물품2020-06-30214중소기업2
1분당복합화력[조달구매]업무동 신축공사 레미콘 대금 지급아주산업(주)광주공장물품2020-06-0864322중소기업2
2삼천포화력석탄설비 6월 기성고_OES_노무비외_1발전기부옵티멀에너지서비스 주식회사공사2020-10-201353중소기업2
3여수화력(조달구매)(구)사무동 및 KPS 사무동 시설용 방송설비 자재구매(디라직)(주)디라직물품2020-11-13440중소기업2