Overview

Dataset statistics

Number of variables13
Number of observations506
Missing cells86
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.0 KiB
Average record size in memory107.3 B

Variable types

Numeric3
Text5
Categorical4
DateTime1

Dataset

Description한국가스공사 의 연간 물품의 발주계획(사업명, 사업지역, 계약방법, 예산액, 해당사업소)을 공공에게 개방하여 이해관계자(물품제조사)의 업무 편의에 기여
Author한국가스공사
URLhttps://www.data.go.kr/data/15118076/fileData.do

Alerts

연번(No) is highly overall correlated with 발주월High correlation
발주월 is highly overall correlated with 연번(No)High correlation
구매예정금액(원_부가세 제외) is highly overall correlated with 단위High correlation
계약방법 is highly overall correlated with 처실사업소 and 1 other fieldsHigh correlation
단위 is highly overall correlated with 구매예정금액(원_부가세 제외) and 1 other fieldsHigh correlation
처실사업소 is highly overall correlated with 계약방법 and 1 other fieldsHigh correlation
부서명 is highly overall correlated with 계약방법 and 2 other fieldsHigh correlation
주요규격 has 81 (16.0%) missing valuesMissing
연번(No) has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:14:27.666261
Analysis finished2024-03-15 00:14:33.347371
Duration5.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번(No)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct506
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253.5
Minimum1
Maximum506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-03-15T09:14:33.648674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.25
Q1127.25
median253.5
Q3379.75
95-th percentile480.75
Maximum506
Range505
Interquartile range (IQR)252.5

Descriptive statistics

Standard deviation146.21388
Coefficient of variation (CV)0.57678061
Kurtosis-1.2
Mean253.5
Median Absolute Deviation (MAD)126.5
Skewness0
Sum128271
Variance21378.5
MonotonicityStrictly increasing
2024-03-15T09:14:34.399171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
334 1
 
0.2%
347 1
 
0.2%
346 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
342 1
 
0.2%
341 1
 
0.2%
340 1
 
0.2%
Other values (496) 496
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
506 1
0.2%
505 1
0.2%
504 1
0.2%
503 1
0.2%
502 1
0.2%
501 1
0.2%
500 1
0.2%
499 1
0.2%
498 1
0.2%
497 1
0.2%

발주월
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.527668
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-03-15T09:14:34.801769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.0253427
Coefficient of variation (CV)0.66819005
Kurtosis-0.18054095
Mean4.527668
Median Absolute Deviation (MAD)2
Skewness0.83168194
Sum2291
Variance9.1526983
MonotonicityIncreasing
2024-03-15T09:14:35.208453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 106
20.9%
1 89
17.6%
5 56
11.1%
4 51
10.1%
2 48
9.5%
6 40
 
7.9%
7 30
 
5.9%
10 22
 
4.3%
9 18
 
3.6%
8 16
 
3.2%
Other values (2) 30
 
5.9%
ValueCountFrequency (%)
1 89
17.6%
2 48
9.5%
3 106
20.9%
4 51
10.1%
5 56
11.1%
6 40
 
7.9%
7 30
 
5.9%
8 16
 
3.2%
9 18
 
3.6%
10 22
 
4.3%
ValueCountFrequency (%)
12 14
 
2.8%
11 16
 
3.2%
10 22
 
4.3%
9 18
 
3.6%
8 16
 
3.2%
7 30
 
5.9%
6 40
 
7.9%
5 56
11.1%
4 51
10.1%
3 106
20.9%

사업명
Text

Distinct388
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-03-15T09:14:36.618483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length19.667984
Min length7

Characters and Unicode

Total characters9952
Distinct characters412
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique365 ?
Unique (%)72.1%

Sample

1st row안전보건표지 보수
2nd row겐트리 크레인 안전작업용 수직 추락 방지장치 구매
3rd row소화해수펌프 계획정비용 자재 구매
4th row소화용수펌프 계획정비용 자재 구매
5th rowFG히터 계획정비용 자재 구매
ValueCountFrequency (%)
구매 187
 
8.9%
당진기지 95
 
4.5%
건설공사 64
 
3.1%
교체 54
 
2.6%
행정동 53
 
2.5%
건축공사 52
 
2.5%
2024년 39
 
1.9%
자재 35
 
1.7%
천연가스 34
 
1.6%
공급시설 32
 
1.5%
Other values (717) 1450
69.2%
2024-03-15T09:14:38.256667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1596
 
16.0%
기 309
 
3.1%
구 282
 
2.8%
매 255
 
2.6%
공 236
 
2.4%
지 220
 
2.2%
설 204
 
2.0%
사 192
 
1.9%
2 170
 
1.7%
스 151
 
1.5%
Other values (402) 6337
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6884
69.2%
Space Separator 1596
 
16.0%
Uppercase Letter 477
 
4.8%
Decimal Number 443
 
4.5%
Lowercase Letter 277
 
2.8%
Open Punctuation 79
 
0.8%
Close Punctuation 78
 
0.8%
Other Punctuation 55
 
0.6%
Math Symbol 42
 
0.4%
Dash Punctuation 12
 
0.1%
Other values (4) 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 309
 
4.5%
구 282
 
4.1%
매 255
 
3.7%
공 236
 
3.4%
지 220
 
3.2%
설 204
 
3.0%
사 192
 
2.8%
스 151
 
2.2%
소 141
 
2.0%
건 130
 
1.9%
Other values (329) 4764
69.2%
Lowercase Letter
ValueCountFrequency (%)
r 31
11.2%
e 30
10.8%
t 26
9.4%
a 26
9.4%
l 21
 
7.6%
o 21
 
7.6%
n 20
 
7.2%
i 19
 
6.9%
u 16
 
5.8%
c 14
 
5.1%
Other values (13) 53
19.1%
Uppercase Letter
ValueCountFrequency (%)
S 60
12.6%
C 47
 
9.9%
P 41
 
8.6%
G 38
 
8.0%
T 34
 
7.1%
U 25
 
5.2%
L 24
 
5.0%
V 23
 
4.8%
M 23
 
4.8%
A 20
 
4.2%
Other values (12) 142
29.8%
Decimal Number
ValueCountFrequency (%)
2 170
38.4%
4 81
18.3%
1 71
16.0%
0 62
 
14.0%
5 26
 
5.9%
6 11
 
2.5%
3 9
 
2.0%
8 6
 
1.4%
9 6
 
1.4%
7 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 24
43.6%
# 10
18.2%
/ 9
 
16.4%
' 4
 
7.3%
· 2
 
3.6%
& 2
 
3.6%
" 2
 
3.6%
: 1
 
1.8%
. 1
 
1.8%
Space Separator
ValueCountFrequency (%)
1596
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Math Symbol
ValueCountFrequency (%)
~ 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6884
69.2%
Common 2313
 
23.2%
Latin 755
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 309
 
4.5%
구 282
 
4.1%
매 255
 
3.7%
공 236
 
3.4%
지 220
 
3.2%
설 204
 
3.0%
사 192
 
2.8%
스 151
 
2.2%
소 141
 
2.0%
건 130
 
1.9%
Other values (329) 4764
69.2%
Latin
ValueCountFrequency (%)
S 60
 
7.9%
C 47
 
6.2%
P 41
 
5.4%
G 38
 
5.0%
T 34
 
4.5%
r 31
 
4.1%
e 30
 
4.0%
t 26
 
3.4%
a 26
 
3.4%
U 25
 
3.3%
Other values (36) 397
52.6%
Common
ValueCountFrequency (%)
1596
69.0%
2 170
 
7.3%
4 81
 
3.5%
( 79
 
3.4%
) 78
 
3.4%
1 71
 
3.1%
0 62
 
2.7%
~ 42
 
1.8%
5 26
 
1.1%
, 24
 
1.0%
Other values (17) 84
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6884
69.2%
ASCII 3060
30.7%
Punctuation 4
 
< 0.1%
None 3
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1596
52.2%
2 170
 
5.6%
4 81
 
2.6%
( 79
 
2.6%
) 78
 
2.5%
1 71
 
2.3%
0 62
 
2.0%
S 60
 
2.0%
C 47
 
1.5%
~ 42
 
1.4%
Other values (59) 774
25.3%
Hangul
ValueCountFrequency (%)
기 309
 
4.5%
구 282
 
4.1%
매 255
 
3.7%
공 236
 
3.4%
지 220
 
3.2%
설 204
 
3.0%
사 192
 
2.8%
스 151
 
2.2%
소 141
 
2.0%
건 130
 
1.9%
Other values (329) 4764
69.2%
Punctuation
ValueCountFrequency (%)
‘ 4
100.0%
None
ValueCountFrequency (%)
· 2
66.7%
° 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

계약방법
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
제한경쟁
220 
일반경쟁
157 
수의계약
84 
지명경쟁
45 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한경쟁 220
43.5%
일반경쟁 157
31.0%
수의계약 84
 
16.6%
지명경쟁 45
 
8.9%

Length

2024-03-15T09:14:38.657351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:14:38.979362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 220
43.5%
일반경쟁 157
31.0%
수의계약 84
 
16.6%
지명경쟁 45
 
8.9%

품 명
Text

Distinct365
Distinct (%)72.4%
Missing2
Missing (%)0.4%
Memory size4.1 KiB
2024-03-15T09:14:40.075379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length29
Mean length8.3194444
Min length2

Characters and Unicode

Total characters4193
Distinct characters405
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique307 ?
Unique (%)60.9%

Sample

1st row안전보건표지
2nd row겐트리 크레인 안전작업용 수직 추락 방지장치 구매
3rd rowO-ring 외
4th row베어링 외
5th rowBlind Flange 외
ValueCountFrequency (%)
등 29
 
3.6%
볼밸브 20
 
2.5%
및 13
 
1.6%
무정전전원장치 11
 
1.4%
스틸그레이팅 10
 
1.2%
레미콘 10
 
1.2%
가스분석기 10
 
1.2%
폐쇄형 7
 
0.9%
배전반 7
 
0.9%
냉난방기 7
 
0.9%
Other values (493) 689
84.7%
2024-03-15T09:14:41.511792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
317
 
7.6%
스 119
 
2.8%
기 107
 
2.6%
트 81
 
1.9%
전 76
 
1.8%
장 63
 
1.5%
치 59
 
1.4%
리 55
 
1.3%
e 55
 
1.3%
가 47
 
1.1%
Other values (395) 3214
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2989
71.3%
Lowercase Letter 387
 
9.2%
Space Separator 317
 
7.6%
Uppercase Letter 291
 
6.9%
Decimal Number 62
 
1.5%
Other Punctuation 55
 
1.3%
Open Punctuation 35
 
0.8%
Close Punctuation 35
 
0.8%
Dash Punctuation 22
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 119
 
4.0%
기 107
 
3.6%
트 81
 
2.7%
전 76
 
2.5%
장 63
 
2.1%
치 59
 
2.0%
리 55
 
1.8%
가 47
 
1.6%
이 45
 
1.5%
프 40
 
1.3%
Other values (328) 2297
76.8%
Uppercase Letter
ValueCountFrequency (%)
T 31
 
10.7%
A 31
 
10.7%
E 21
 
7.2%
L 20
 
6.9%
P 20
 
6.9%
R 20
 
6.9%
C 20
 
6.9%
S 18
 
6.2%
O 15
 
5.2%
I 14
 
4.8%
Other values (15) 81
27.8%
Lowercase Letter
ValueCountFrequency (%)
e 55
14.2%
r 38
9.8%
i 33
 
8.5%
a 32
 
8.3%
t 29
 
7.5%
l 27
 
7.0%
n 24
 
6.2%
o 23
 
5.9%
p 17
 
4.4%
s 16
 
4.1%
Other values (13) 93
24.0%
Decimal Number
ValueCountFrequency (%)
1 15
24.2%
2 11
17.7%
3 7
11.3%
4 7
11.3%
5 6
 
9.7%
6 4
 
6.5%
8 4
 
6.5%
0 3
 
4.8%
7 3
 
4.8%
9 2
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 36
65.5%
/ 7
 
12.7%
" 7
 
12.7%
. 4
 
7.3%
& 1
 
1.8%
Space Separator
ValueCountFrequency (%)
317
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2989
71.3%
Latin 677
 
16.1%
Common 526
 
12.5%
Greek 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 119
 
4.0%
기 107
 
3.6%
트 81
 
2.7%
전 76
 
2.5%
장 63
 
2.1%
치 59
 
2.0%
리 55
 
1.8%
가 47
 
1.6%
이 45
 
1.5%
프 40
 
1.3%
Other values (328) 2297
76.8%
Latin
ValueCountFrequency (%)
e 55
 
8.1%
r 38
 
5.6%
i 33
 
4.9%
a 32
 
4.7%
T 31
 
4.6%
A 31
 
4.6%
t 29
 
4.3%
l 27
 
4.0%
n 24
 
3.5%
o 23
 
3.4%
Other values (37) 354
52.3%
Common
ValueCountFrequency (%)
317
60.3%
, 36
 
6.8%
( 35
 
6.7%
) 35
 
6.7%
- 22
 
4.2%
1 15
 
2.9%
2 11
 
2.1%
/ 7
 
1.3%
3 7
 
1.3%
" 7
 
1.3%
Other values (9) 34
 
6.5%
Greek
ValueCountFrequency (%)
Φ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2989
71.3%
ASCII 1203
28.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
317
26.4%
e 55
 
4.6%
r 38
 
3.2%
, 36
 
3.0%
( 35
 
2.9%
) 35
 
2.9%
i 33
 
2.7%
a 32
 
2.7%
T 31
 
2.6%
A 31
 
2.6%
Other values (56) 560
46.6%
Hangul
ValueCountFrequency (%)
스 119
 
4.0%
기 107
 
3.6%
트 81
 
2.7%
전 76
 
2.5%
장 63
 
2.1%
치 59
 
2.0%
리 55
 
1.8%
가 47
 
1.6%
이 45
 
1.5%
프 40
 
1.3%
Other values (328) 2297
76.8%
None
ValueCountFrequency (%)
Φ 1
100.0%

주요규격
Text

MISSING 

Distinct373
Distinct (%)87.8%
Missing81
Missing (%)16.0%
Memory size4.1 KiB
2024-03-15T09:14:42.424766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length44
Mean length16.750588
Min length1

Characters and Unicode

Total characters7119
Distinct characters360
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique328 ?
Unique (%)77.2%

Sample

1st row450*600mm 등
2nd rowNBR
3rd row7317 DB 등
4th row150# RF - SUS304
5th row노란색, 20kg/포
ValueCountFrequency (%)
등 114
 
8.5%
40
 
3.0%
600 21
 
1.6%
및 21
 
1.6%
x 15
 
1.1%
bw/bw 15
 
1.1%
mov 12
 
0.9%
이상 12
 
0.9%
포함 7
 
0.5%
30 7
 
0.5%
Other values (829) 1085
80.4%
2024-03-15T09:14:43.764667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
936
 
13.1%
0 484
 
6.8%
, 226
 
3.2%
1 219
 
3.1%
2 182
 
2.6%
3 152
 
2.1%
5 133
 
1.9%
등 126
 
1.8%
m 125
 
1.8%
4 123
 
1.7%
Other values (350) 4413
62.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1656
23.3%
Other Letter 1549
21.8%
Uppercase Letter 1283
18.0%
Space Separator 936
13.1%
Lowercase Letter 885
12.4%
Other Punctuation 573
 
8.0%
Close Punctuation 65
 
0.9%
Dash Punctuation 65
 
0.9%
Open Punctuation 65
 
0.9%
Math Symbol 34
 
0.5%
Other values (3) 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
등 126
 
8.1%
상 43
 
2.8%
기 41
 
2.6%
전 38
 
2.5%
이 37
 
2.4%
스 27
 
1.7%
압 26
 
1.7%
지 23
 
1.5%
치 23
 
1.5%
포 22
 
1.4%
Other values (260) 1143
73.8%
Uppercase Letter
ValueCountFrequency (%)
S 105
 
8.2%
A 101
 
7.9%
T 88
 
6.9%
E 74
 
5.8%
I 72
 
5.6%
C 71
 
5.5%
B 70
 
5.5%
P 70
 
5.5%
W 69
 
5.4%
M 67
 
5.2%
Other values (18) 496
38.7%
Lowercase Letter
ValueCountFrequency (%)
m 125
14.1%
e 85
 
9.6%
t 60
 
6.8%
r 60
 
6.8%
o 56
 
6.3%
a 55
 
6.2%
i 49
 
5.5%
n 48
 
5.4%
x 46
 
5.2%
l 41
 
4.6%
Other values (17) 260
29.4%
Other Punctuation
ValueCountFrequency (%)
, 226
39.4%
/ 90
 
15.7%
* 70
 
12.2%
. 47
 
8.2%
" 46
 
8.0%
# 36
 
6.3%
: 32
 
5.6%
% 14
 
2.4%
' 8
 
1.4%
& 3
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 484
29.2%
1 219
13.2%
2 182
 
11.0%
3 152
 
9.2%
5 133
 
8.0%
4 123
 
7.4%
9 113
 
6.8%
6 113
 
6.8%
8 76
 
4.6%
7 61
 
3.7%
Math Symbol
ValueCountFrequency (%)
~ 12
35.3%
× 8
23.5%
+ 8
23.5%
= 4
 
11.8%
± 2
 
5.9%
Other Symbol
ValueCountFrequency (%)
㎥ 2
50.0%
℃ 1
25.0%
㎛ 1
25.0%
Space Separator
ValueCountFrequency (%)
936
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3400
47.8%
Latin 2161
30.4%
Hangul 1549
21.8%
Greek 8
 
0.1%
Cyrillic 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
등 126
 
8.1%
상 43
 
2.8%
기 41
 
2.6%
전 38
 
2.5%
이 37
 
2.4%
스 27
 
1.7%
압 26
 
1.7%
지 23
 
1.5%
치 23
 
1.5%
포 22
 
1.4%
Other values (260) 1143
73.8%
Latin
ValueCountFrequency (%)
m 125
 
5.8%
S 105
 
4.9%
A 101
 
4.7%
T 88
 
4.1%
e 85
 
3.9%
E 74
 
3.4%
I 72
 
3.3%
C 71
 
3.3%
B 70
 
3.2%
P 70
 
3.2%
Other values (43) 1300
60.2%
Common
ValueCountFrequency (%)
936
27.5%
0 484
14.2%
, 226
 
6.6%
1 219
 
6.4%
2 182
 
5.4%
3 152
 
4.5%
5 133
 
3.9%
4 123
 
3.6%
9 113
 
3.3%
6 113
 
3.3%
Other values (24) 719
21.1%
Greek
ValueCountFrequency (%)
Φ 7
87.5%
φ 1
 
12.5%
Cyrillic
ValueCountFrequency (%)
ф 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5543
77.9%
Hangul 1549
 
21.8%
None 20
 
0.3%
CJK Compat 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Cyrillic 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
936
 
16.9%
0 484
 
8.7%
, 226
 
4.1%
1 219
 
4.0%
2 182
 
3.3%
3 152
 
2.7%
5 133
 
2.4%
m 125
 
2.3%
4 123
 
2.2%
9 113
 
2.0%
Other values (70) 2850
51.4%
Hangul
ValueCountFrequency (%)
등 126
 
8.1%
상 43
 
2.8%
기 41
 
2.6%
전 38
 
2.5%
이 37
 
2.4%
스 27
 
1.7%
압 26
 
1.7%
지 23
 
1.5%
치 23
 
1.5%
포 22
 
1.4%
Other values (260) 1143
73.8%
None
ValueCountFrequency (%)
× 8
40.0%
Φ 7
35.0%
± 2
 
10.0%
Ø 2
 
10.0%
φ 1
 
5.0%
CJK Compat
ValueCountFrequency (%)
㎥ 2
66.7%
㎛ 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Cyrillic
ValueCountFrequency (%)
ф 1
100.0%

용도
Text

Distinct180
Distinct (%)35.8%
Missing3
Missing (%)0.6%
Memory size4.1 KiB
2024-03-15T09:14:44.896830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length5.3439364
Min length2

Characters and Unicode

Total characters2688
Distinct characters250
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)26.0%

Sample

1st row유해위험알림용
2nd row크레인안전작업용
3rd row설비보수용
4th row설비보수용
5th row설비보수용
ValueCountFrequency (%)
설비용 84
 
11.6%
건축 64
 
8.8%
설비보수용 28
 
3.9%
시설용 27
 
3.7%
건설용 20
 
2.8%
관리소 16
 
2.2%
전력설비 15
 
2.1%
공급관리소 15
 
2.1%
증설용 10
 
1.4%
건설 10
 
1.4%
Other values (272) 437
60.2%
2024-03-15T09:14:47.159368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 298
 
11.1%
236
 
8.8%
설 229
 
8.5%
비 162
 
6.0%
건 105
 
3.9%
보 77
 
2.9%
축 69
 
2.6%
관 57
 
2.1%
시 50
 
1.9%
전 46
 
1.7%
Other values (240) 1359
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2351
87.5%
Space Separator 236
 
8.8%
Uppercase Letter 72
 
2.7%
Decimal Number 8
 
0.3%
Other Punctuation 7
 
0.3%
Lowercase Letter 7
 
0.3%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 298
 
12.7%
설 229
 
9.7%
비 162
 
6.9%
건 105
 
4.5%
보 77
 
3.3%
축 69
 
2.9%
관 57
 
2.4%
시 50
 
2.1%
전 46
 
2.0%
소 46
 
2.0%
Other values (205) 1212
51.6%
Uppercase Letter
ValueCountFrequency (%)
C 13
18.1%
G 7
9.7%
L 5
 
6.9%
P 5
 
6.9%
S 5
 
6.9%
T 5
 
6.9%
V 5
 
6.9%
U 5
 
6.9%
N 4
 
5.6%
O 4
 
5.6%
Other values (7) 14
19.4%
Lowercase Letter
ValueCountFrequency (%)
t 2
28.6%
o 1
14.3%
a 1
14.3%
u 1
14.3%
c 1
14.3%
r 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
4 1
 
12.5%
0 1
 
12.5%
6 1
 
12.5%
1 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
& 2
28.6%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
236
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2351
87.5%
Common 258
 
9.6%
Latin 79
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 298
 
12.7%
설 229
 
9.7%
비 162
 
6.9%
건 105
 
4.5%
보 77
 
3.3%
축 69
 
2.9%
관 57
 
2.4%
시 50
 
2.1%
전 46
 
2.0%
소 46
 
2.0%
Other values (205) 1212
51.6%
Latin
ValueCountFrequency (%)
C 13
16.5%
G 7
 
8.9%
L 5
 
6.3%
P 5
 
6.3%
S 5
 
6.3%
T 5
 
6.3%
V 5
 
6.3%
U 5
 
6.3%
N 4
 
5.1%
O 4
 
5.1%
Other values (13) 21
26.6%
Common
ValueCountFrequency (%)
236
91.5%
2 4
 
1.6%
, 4
 
1.6%
) 3
 
1.2%
( 3
 
1.2%
& 2
 
0.8%
4 1
 
0.4%
- 1
 
0.4%
0 1
 
0.4%
6 1
 
0.4%
Other values (2) 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2351
87.5%
ASCII 337
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 298
 
12.7%
설 229
 
9.7%
비 162
 
6.9%
건 105
 
4.5%
보 77
 
3.3%
축 69
 
2.9%
관 57
 
2.4%
시 50
 
2.1%
전 46
 
2.0%
소 46
 
2.0%
Other values (205) 1212
51.6%
ASCII
ValueCountFrequency (%)
236
70.0%
C 13
 
3.9%
G 7
 
2.1%
L 5
 
1.5%
P 5
 
1.5%
S 5
 
1.5%
T 5
 
1.5%
V 5
 
1.5%
U 5
 
1.5%
N 4
 
1.2%
Other values (25) 47
 
13.9%

수량
Text

Distinct180
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-03-15T09:14:48.545385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length1
Mean length2.0474308
Min length1

Characters and Unicode

Total characters1036
Distinct characters17
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)28.5%

Sample

1st row50
2nd row1
3rd row1
4th row1
5th row1
ValueCountFrequency (%)
1 155
30.5%
2 39
 
7.7%
4 21
 
4.1%
3 19
 
3.7%
5 11
 
2.2%
6 9
 
1.8%
9 8
 
1.6%
15 7
 
1.4%
14 7
 
1.4%
8 6
 
1.2%
Other values (171) 226
44.5%
2024-03-15T09:14:49.946091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 283
27.3%
2 138
13.3%
0 137
13.2%
4 94
 
9.1%
5 79
 
7.6%
3 77
 
7.4%
8 56
 
5.4%
9 54
 
5.2%
6 53
 
5.1%
7 41
 
4.0%
Other values (7) 24
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1012
97.7%
Other Punctuation 17
 
1.6%
Other Letter 3
 
0.3%
Space Separator 2
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 283
28.0%
2 138
13.6%
0 137
13.5%
4 94
 
9.3%
5 79
 
7.8%
3 77
 
7.6%
8 56
 
5.5%
9 54
 
5.3%
6 53
 
5.2%
7 41
 
4.1%
Other Letter
ValueCountFrequency (%)
약 1
33.3%
미 1
33.3%
정 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 17
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1033
99.7%
Hangul 3
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 283
27.4%
2 138
13.4%
0 137
13.3%
4 94
 
9.1%
5 79
 
7.6%
3 77
 
7.5%
8 56
 
5.4%
9 54
 
5.2%
6 53
 
5.1%
7 41
 
4.0%
Other values (4) 21
 
2.0%
Hangul
ValueCountFrequency (%)
약 1
33.3%
미 1
33.3%
정 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1033
99.7%
Hangul 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 283
27.4%
2 138
13.4%
0 137
13.3%
4 94
 
9.1%
5 79
 
7.6%
3 77
 
7.5%
8 56
 
5.4%
9 54
 
5.2%
6 53
 
5.1%
7 41
 
4.0%
Other values (4) 21
 
2.0%
Hangul
ValueCountFrequency (%)
약 1
33.3%
미 1
33.3%
정 1
33.3%

단위
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
EA
163 
SET
78 
식
77 
M2
24 
set
21 
Other values (36)
143 

Length

Max length6
Median length2
Mean length2.0019763
Min length1

Unique

Unique10 ?
Unique (%)2.0%

Sample

1st rowea
2nd rowEA
3rd rowset
4th rowset
5th rowset

Common Values

ValueCountFrequency (%)
EA 163
32.2%
SET 78
15.4%
식 77
15.2%
M2 24
 
4.7%
set 21
 
4.2%
KG 13
 
2.6%
ea 11
 
2.2%
개 11
 
2.2%
매 9
 
1.8%
M3 9
 
1.8%
Other values (31) 90
17.8%

Length

2024-03-15T09:14:50.242235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ea 177
35.0%
set 102
20.2%
식 77
15.2%
m2 25
 
4.9%
kg 14
 
2.8%
m3 14
 
2.8%
m 13
 
2.6%
개 11
 
2.2%
매 9
 
1.8%
au 8
 
1.6%
Other values (20) 56
 
11.1%

구매예정금액(원_부가세 제외)
Real number (ℝ)

HIGH CORRELATION 

Distinct399
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7126468 × 108
Minimum240000
Maximum2.6049375 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-03-15T09:14:50.515140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240000
5-th percentile4400000
Q130000000
median80425000
Q32.148775 × 108
95-th percentile1.29675 × 109
Maximum2.6049375 × 1010
Range2.6049135 × 1010
Interquartile range (IQR)1.848775 × 108

Descriptive statistics

Standard deviation1.6105729 × 109
Coefficient of variation (CV)4.3380721
Kurtosis177.34539
Mean3.7126468 × 108
Median Absolute Deviation (MAD)63600000
Skewness12.375376
Sum1.8785993 × 1011
Variance2.5939452 × 1018
MonotonicityNot monotonic
2024-03-15T09:14:50.888018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40000000.0 10
 
2.0%
70000000.0 6
 
1.2%
50000000.0 6
 
1.2%
100000000.0 6
 
1.2%
200000000.0 6
 
1.2%
20000000.0 5
 
1.0%
150000000.0 5
 
1.0%
80000000.0 5
 
1.0%
25000000.0 5
 
1.0%
110000000.0 4
 
0.8%
Other values (389) 448
88.5%
ValueCountFrequency (%)
240000.0 1
0.2%
478200.0 1
0.2%
500000.0 1
0.2%
508032.0 1
0.2%
735000.0 1
0.2%
1022000.0 1
0.2%
1023000.0 1
0.2%
1100000.0 1
0.2%
1276000.0 1
0.2%
1299991.0 1
0.2%
ValueCountFrequency (%)
26049375000.0 1
0.2%
20572420000.0 1
0.2%
7600000000.0 1
0.2%
4841200000.0 1
0.2%
4416786275.0 1
0.2%
4400000000.0 1
0.2%
3782678240.0 1
0.2%
3731930400.0 1
0.2%
3500000000.0 1
0.2%
3027565000.0 1
0.2%

처실사업소
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
당진기지안전건설단
88 
건설설계처
52 
평택기지본부
39 
건설사업단
35 
통영기지본부
32 
Other values (28)
260 

Length

Max length9
Median length8
Mean length6.458498
Min length3

Unique

Unique5 ?
Unique (%)1.0%

Sample

1st row제주LNG본부
2nd row삼척기지본부
3rd row인천기지본부
4th row인천기지본부
5th row인천기지본부

Common Values

ValueCountFrequency (%)
당진기지안전건설단 88
17.4%
건설설계처 52
 
10.3%
평택기지본부 39
 
7.7%
건설사업단 35
 
6.9%
통영기지본부 32
 
6.3%
삼척기지본부 30
 
5.9%
공급운영처 27
 
5.3%
인천기지본부 22
 
4.3%
경영지원처 18
 
3.6%
서울지역본부 17
 
3.4%
Other values (23) 146
28.9%

Length

2024-03-15T09:14:51.139879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
당진기지안전건설단 88
17.4%
건설설계처 52
 
10.3%
평택기지본부 39
 
7.7%
건설사업단 35
 
6.9%
통영기지본부 32
 
6.3%
삼척기지본부 30
 
5.9%
공급운영처 27
 
5.3%
인천기지본부 27
 
5.3%
경영지원처 18
 
3.6%
서울지역본부 17
 
3.4%
Other values (21) 141
27.9%

부서명
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
설비보전부
97 
토건부
74 
기계보전부
54 
계전보전부
51 
계전설계부
37 
Other values (44)
193 

Length

Max length10
Median length5
Mean length4.9387352
Min length3

Unique

Unique16 ?
Unique (%)3.2%

Sample

1st row안전부
2nd row기계보전부
3rd row기계보전부
4th row기계보전부
5th row기계보전부

Common Values

ValueCountFrequency (%)
설비보전부 97
19.2%
토건부 74
14.6%
기계보전부 54
10.7%
계전보전부 51
 
10.1%
계전설계부 37
 
7.3%
공급개선부 19
 
3.8%
기계설계부 15
 
3.0%
보안운영부 11
 
2.2%
충북안전건설사무소 10
 
2.0%
계전부 9
 
1.8%
Other values (39) 129
25.5%

Length

2024-03-15T09:14:51.431075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
설비보전부 97
19.2%
토건부 74
14.6%
기계보전부 54
10.7%
계전보전부 51
 
10.1%
계전설계부 37
 
7.3%
공급개선부 19
 
3.8%
기계설계부 15
 
3.0%
보안운영부 11
 
2.2%
충북안전건설사무소 10
 
2.0%
안전부 9
 
1.8%
Other values (38) 129
25.5%

납품완료(예정)년월
Date

Distinct26
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2024-01-01 00:00:00
Maximum2026-07-01 00:00:00
2024-03-15T09:14:51.850891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:14:52.246352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

Interactions

2024-03-15T09:14:31.432243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:14:29.851429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:14:30.609349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:14:31.685797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:14:30.096693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:14:30.862034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:14:31.940093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:14:30.358003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:14:31.109494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:14:52.518779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(No)발주월계약방법단위구매예정금액(원_부가세 제외)처실사업소부서명납품완료(예정)년월
연번(No)1.0000.9750.2900.6120.0590.4720.6100.566
발주월0.9751.0000.3430.6920.2740.4930.6650.642
계약방법0.2900.3431.0000.5730.0000.7750.8580.658
단위0.6120.6920.5731.0000.8120.8700.9600.830
구매예정금액(원_부가세 제외)0.0590.2740.0000.8121.0000.0000.7710.275
처실사업소0.4720.4930.7750.8700.0001.0000.9880.790
부서명0.6100.6650.8580.9600.7710.9881.0000.910
납품완료(예정)년월0.5660.6420.6580.8300.2750.7900.9101.000
2024-03-15T09:14:52.873051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처실사업소부서명단위계약방법
처실사업소1.0000.7300.3420.507
부서명0.7301.0000.5000.593
단위0.3420.5001.0000.315
계약방법0.5070.5930.3151.000
2024-03-15T09:14:53.036449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(No)발주월구매예정금액(원_부가세 제외)계약방법단위처실사업소부서명
연번(No)1.0000.9910.0720.1780.2510.1830.245
발주월0.9911.000-0.0440.2100.3060.1920.280
구매예정금액(원_부가세 제외)0.072-0.0441.0000.0000.5170.0000.459
계약방법0.1780.2100.0001.0000.3150.5070.593
단위0.2510.3060.5170.3151.0000.3420.500
처실사업소0.1830.1920.0000.5070.3421.0000.730
부서명0.2450.2800.4590.5930.5000.7301.000

Missing values

2024-03-15T09:14:32.315328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:14:32.831352image/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.
2024-03-15T09:14:33.197985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번(No)발주월사업명계약방법품 명주요규격용도수량단위구매예정금액(원_부가세 제외)처실사업소부서명납품완료(예정)년월
011안전보건표지 보수수의계약안전보건표지450*600mm 등유해위험알림용50ea1100000.0제주LNG본부안전부2024-02-01
121겐트리 크레인 안전작업용 수직 추락 방지장치 구매일반경쟁겐트리 크레인 안전작업용 수직 추락 방지장치 구매<NA>크레인안전작업용1EA4000000.0삼척기지본부기계보전부2024-12-01
231소화해수펌프 계획정비용 자재 구매일반경쟁O-ring 외NBR설비보수용1set4200000.0인천기지본부기계보전부2024-04-01
341소화용수펌프 계획정비용 자재 구매일반경쟁베어링 외7317 DB 등설비보수용1set4400000.0인천기지본부기계보전부2024-04-01
451FG히터 계획정비용 자재 구매일반경쟁Blind Flange 외150# RF - SUS304설비보수용1set4400000.0인천기지본부기계보전부2024-04-01
561당진기지 154kV 수전선로 건설공사제한경쟁노면표지용페인트노란색, 20kg/포건설용170포5053590.0당진기지안전건설단토건부2025-12-01
671기화해수펌프 모터 냉각수 라인 Duflex Strainer 구매일반경쟁Duflex StrainerA351 CF3M, 2", 150#보수용 자재용1EA5500000.0삼척기지본부기계보전부2024-05-01
781수소 튜브트레일러 예비용 자재(Shut-Off Valve) 구매일반경쟁Shut-Off Valve, Two nipples(Φ22mm) per one valveShut-Off Valve, Two nipples(Φ22mm) per one valve수소 튜브트레일러 스페어 파트24EA13200000.0수소유통센터수소유통센터2024-03-01
891RBS AL-Anode 구매일반경쟁AL-Anode(77+84)*80*600LRBS 내부 설치용250EA15000000.0통영기지본부기계보전부2024-04-01
91012024년 외부모터식 2차펌프 Bushing 구매수의계약Bearing bushing 등CARBON 등설비보수용4set15300000.0인천기지본부기계보전부2024-05-01
연번(No)발주월사업명계약방법품 명주요규격용도수량단위구매예정금액(원_부가세 제외)처실사업소부서명납품완료(예정)년월
49649712당진기지 행정동 건축공사제한경쟁알루미늄 방충망<NA>건축450.39KG6035226.0당진기지안전건설단토건부2025-12-01
49749812당진기지 행정동 건축공사제한경쟁현무암판석현무암, 물갈기, 30mm,건축223M210035000.0당진기지안전건설단토건부2025-12-01
49849912평택수소생산기지 방폭조명 구매일반경쟁방폭조명LED보안등기구 및 조명등건설자재용29EA14737800.0건설사업단경기안전건설사무소2025-02-01
49950012당진기지 행정동 건축공사제한경쟁스틸그레이팅상판용, I-32*5*3, 995*1000mm건축380M223294000.0당진기지안전건설단토건부2025-12-01
50050112당진기지 행정동 건축공사제한경쟁수동롤스크린-암막암막건축15M230975664.0당진기지안전건설단토건부2025-12-01
50150212당진기지 행정동 건축공사제한경쟁수동롤스크린-일반실사일반실사건축1165M237280000.0당진기지안전건설단토건부2025-12-01
50250312평택수소생산기지 아스콘 구매제한경쟁아스팔트콘크리트#78, #467건설자재용538Ton44251768.0건설사업단경기안전건설사무소2025-02-01
50350412당진기지 행정동 건축공사제한경쟁알루미늄 롤방충망<NA>건축2082.81KG58318680.0당진기지안전건설단토건부2025-12-01
50450512평택수소생산기지 영상감시장치 구매일반경쟁영상감시장치영상감시장치건설자재용1식70458300.0건설사업단경기안전건설사무소2025-02-01
505506122025년 실험실 표준가스 통합발주일반경쟁기타미분류가스CH4, C2H6 등 9종가스분석기 교정용52BT280000000.0제주LNG본부설비운영부2025-12-01