Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells1784
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory222.0 B

Variable types

Text11
Numeric6
Categorical5
Boolean1
DateTime3

Dataset

Description방위사업청 및 각 군이 국내에서 조달하는 시설공사 경쟁 입찰결과 정보를 제공합니다.입찰공고번호,입찰공고차수,입찰공고명,업무구분명,계약체결형태명,계약체결방법명 등이 수록됨
Author방위사업청
URLhttps://www.data.go.kr/data/15050927/fileData.do

Alerts

계약체결형태명 has constant value ""Constant
계약체결방법명 is highly imbalanced (66.8%)Imbalance
낙찰자결정방법명 is highly imbalanced (95.2%)Imbalance
적격심사여부 is highly imbalanced (95.2%)Imbalance
개찰결과구분명 is highly imbalanced (89.1%)Imbalance
예정가격 has 219 (2.2%) missing valuesMissing
최종낙찰율 has 219 (2.2%) missing valuesMissing
최종낙찰일자 has 219 (2.2%) missing valuesMissing
최종낙찰업체명 has 219 (2.2%) missing valuesMissing
최종낙찰업체대표자명 has 219 (2.2%) missing valuesMissing
최종낙찰업체담당자명 has 249 (2.5%) missing valuesMissing
최종낙찰업체사업자등록번호 has 219 (2.2%) missing valuesMissing
최종낙찰업체주소 has 219 (2.2%) missing valuesMissing
예정가격 is highly skewed (γ1 = 37.18410323)Skewed
기초금액 is highly skewed (γ1 = 37.44069924)Skewed
추정가격 is highly skewed (γ1 = 56.75096534)Skewed
추정가격 has 4766 (47.7%) zerosZeros

Reproduction

Analysis started2024-03-23 05:41:40.541198
Analysis finished2024-03-23 05:41:45.895387
Duration5.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct7616
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T14:41:46.382942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters33
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

Unique5701 ?
Unique (%)57.0%

Sample

1st rowLHQ0023
2nd rowLGH0014
3rd rowUHC0031
4th rowUMM2230
5th rowLHR0093
ValueCountFrequency (%)
umm0572 6
 
0.1%
umm1076 5
 
< 0.1%
lng0026 5
 
< 0.1%
lch0114 5
 
< 0.1%
umm0664 5
 
< 0.1%
umm0054 5
 
< 0.1%
umm0677 5
 
< 0.1%
umm0949 5
 
< 0.1%
hdk0036 5
 
< 0.1%
umm0556 5
 
< 0.1%
Other values (7606) 9949
99.5%
2024-03-23T14:41:47.277181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16516
23.6%
M 6668
 
9.5%
1 5256
 
7.5%
L 5109
 
7.3%
2 3298
 
4.7%
3 2703
 
3.9%
H 2628
 
3.8%
U 2603
 
3.7%
4 2352
 
3.4%
5 2109
 
3.0%
Other values (23) 20758
29.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40000
57.1%
Uppercase Letter 30000
42.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 6668
22.2%
L 5109
17.0%
H 2628
 
8.8%
U 2603
 
8.7%
D 1837
 
6.1%
C 1736
 
5.8%
G 1685
 
5.6%
S 1260
 
4.2%
F 1171
 
3.9%
N 1153
 
3.8%
Other values (13) 4150
13.8%
Decimal Number
ValueCountFrequency (%)
0 16516
41.3%
1 5256
 
13.1%
2 3298
 
8.2%
3 2703
 
6.8%
4 2352
 
5.9%
5 2109
 
5.3%
7 2065
 
5.2%
6 2026
 
5.1%
8 1894
 
4.7%
9 1781
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Common 40000
57.1%
Latin 30000
42.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 6668
22.2%
L 5109
17.0%
H 2628
 
8.8%
U 2603
 
8.7%
D 1837
 
6.1%
C 1736
 
5.8%
G 1685
 
5.6%
S 1260
 
4.2%
F 1171
 
3.9%
N 1153
 
3.8%
Other values (13) 4150
13.8%
Common
ValueCountFrequency (%)
0 16516
41.3%
1 5256
 
13.1%
2 3298
 
8.2%
3 2703
 
6.8%
4 2352
 
5.9%
5 2109
 
5.3%
7 2065
 
5.2%
6 2026
 
5.1%
8 1894
 
4.7%
9 1781
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16516
23.6%
M 6668
 
9.5%
1 5256
 
7.5%
L 5109
 
7.3%
2 3298
 
4.7%
3 2703
 
3.9%
H 2628
 
3.8%
U 2603
 
3.7%
4 2352
 
3.4%
5 2109
 
3.0%
Other values (23) 20758
29.7%

입찰공고차수
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0801
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T14:41:47.518150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.31826737
Coefficient of variation (CV)0.29466473
Kurtosis33.35967
Mean1.0801
Median Absolute Deviation (MAD)0
Skewness4.9721624
Sum10801
Variance0.10129412
MonotonicityNot monotonic
2024-03-23T14:41:47.704541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9308
93.1%
2 605
 
6.0%
3 71
 
0.7%
4 11
 
0.1%
5 4
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
1 9308
93.1%
2 605
 
6.0%
3 71
 
0.7%
4 11
 
0.1%
5 4
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 4
 
< 0.1%
4 11
 
0.1%
3 71
 
0.7%
2 605
 
6.0%
1 9308
93.1%
Distinct9742
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T14:41:48.204483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length19.5616
Min length6

Characters and Unicode

Total characters195616
Distinct characters566
Distinct categories15 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9507 ?
Unique (%)95.1%

Sample

1st row23-경-육-22 설계용역
2nd row공병교 부사관 생활관 난방배관 교체공사
3rd row20-충-공-5A 급수관로 교체공사
4th row21-육-00부대 기계공사(1461)
5th row19-충-육-30B 건설폐기물(유휴시설 철거)
ValueCountFrequency (%)
00부대 1826
 
5.7%
설계용역 1045
 
3.3%
신축 762
 
2.4%
보수공사 571
 
1.8%
538
 
1.7%
전기공사 404
 
1.3%
시설공사 344
 
1.1%
개선공사 334
 
1.0%
323
 
1.0%
취사식당 267
 
0.8%
Other values (10658) 25545
79.9%
2024-03-23T14:41:49.062828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22020
 
11.3%
0 11733
 
6.0%
- 10778
 
5.5%
8305
 
4.2%
7990
 
4.1%
1 7771
 
4.0%
2 6192
 
3.2%
5325
 
2.7%
5225
 
2.7%
) 4897
 
2.5%
Other values (556) 105380
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111665
57.1%
Decimal Number 37811
 
19.3%
Space Separator 22020
 
11.3%
Dash Punctuation 10778
 
5.5%
Close Punctuation 5096
 
2.6%
Open Punctuation 5056
 
2.6%
Uppercase Letter 3036
 
1.6%
Other Punctuation 90
 
< 0.1%
Lowercase Letter 24
 
< 0.1%
Final Punctuation 15
 
< 0.1%
Other values (5) 25
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8305
 
7.4%
7990
 
7.2%
5325
 
4.8%
5225
 
4.7%
3772
 
3.4%
3251
 
2.9%
2917
 
2.6%
2842
 
2.5%
2777
 
2.5%
2493
 
2.2%
Other values (497) 66768
59.8%
Uppercase Letter
ValueCountFrequency (%)
A 545
18.0%
B 484
15.9%
O 454
15.0%
C 334
11.0%
D 205
 
6.8%
P 182
 
6.0%
G 116
 
3.8%
K 101
 
3.3%
M 96
 
3.2%
S 96
 
3.2%
Other values (16) 423
13.9%
Decimal Number
ValueCountFrequency (%)
0 11733
31.0%
1 7771
20.6%
2 6192
16.4%
3 2502
 
6.6%
9 1763
 
4.7%
6 1659
 
4.4%
7 1625
 
4.3%
8 1569
 
4.1%
4 1521
 
4.0%
5 1476
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
m 9
37.5%
c 5
20.8%
o 4
16.7%
e 3
 
12.5%
v 2
 
8.3%
r 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 72
80.0%
. 14
 
15.6%
· 3
 
3.3%
' 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 4897
96.1%
] 199
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 4855
96.0%
[ 201
 
4.0%
Math Symbol
ValueCountFrequency (%)
~ 6
85.7%
+ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
22020
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10778
100.0%
Final Punctuation
ValueCountFrequency (%)
15
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111665
57.1%
Common 80889
41.4%
Latin 3062
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8305
 
7.4%
7990
 
7.2%
5325
 
4.8%
5225
 
4.7%
3772
 
3.4%
3251
 
2.9%
2917
 
2.6%
2842
 
2.5%
2777
 
2.5%
2493
 
2.2%
Other values (497) 66768
59.8%
Latin
ValueCountFrequency (%)
A 545
17.8%
B 484
15.8%
O 454
14.8%
C 334
10.9%
D 205
 
6.7%
P 182
 
5.9%
G 116
 
3.8%
K 101
 
3.3%
M 96
 
3.1%
S 96
 
3.1%
Other values (23) 449
14.7%
Common
ValueCountFrequency (%)
22020
27.2%
0 11733
14.5%
- 10778
13.3%
1 7771
 
9.6%
2 6192
 
7.7%
) 4897
 
6.1%
( 4855
 
6.0%
3 2502
 
3.1%
9 1763
 
2.2%
6 1659
 
2.1%
Other values (16) 6719
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111645
57.1%
ASCII 83925
42.9%
Compat Jamo 20
 
< 0.1%
Punctuation 15
 
< 0.1%
Geometric Shapes 6
 
< 0.1%
None 3
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22020
26.2%
0 11733
14.0%
- 10778
12.8%
1 7771
 
9.3%
2 6192
 
7.4%
) 4897
 
5.8%
( 4855
 
5.8%
3 2502
 
3.0%
9 1763
 
2.1%
6 1659
 
2.0%
Other values (45) 9755
11.6%
Hangul
ValueCountFrequency (%)
8305
 
7.4%
7990
 
7.2%
5325
 
4.8%
5225
 
4.7%
3772
 
3.4%
3251
 
2.9%
2917
 
2.6%
2842
 
2.5%
2777
 
2.5%
2493
 
2.2%
Other values (495) 66748
59.8%
Compat Jamo
ValueCountFrequency (%)
16
80.0%
4
 
20.0%
Punctuation
ValueCountFrequency (%)
15
100.0%
Geometric Shapes
ValueCountFrequency (%)
6
100.0%
None
ValueCountFrequency (%)
· 3
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%

업무구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공사
7154 
용역
2846 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공사 7154
71.5%
용역 2846
 
28.5%

Length

2024-03-23T14:41:49.335468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:41:49.579438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공사 7154
71.5%
용역 2846
 
28.5%

계약체결형태명
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총액계약 10000
100.0%

Length

2024-03-23T14:41:49.795735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:41:49.972823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총액계약 10000
100.0%

계약체결방법명
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제한경쟁
8499 
일반경쟁
1418 
지명경쟁
 
52
수의계약
 
31

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제한경쟁 8499
85.0%
일반경쟁 1418
 
14.2%
지명경쟁 52
 
0.5%
수의계약 31
 
0.3%

Length

2024-03-23T14:41:50.128889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:41:50.330362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 8499
85.0%
일반경쟁 1418
 
14.2%
지명경쟁 52
 
0.5%
수의계약 31
 
0.3%

낙찰자결정방법명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
적격심사제
9946 
최적가격제
 
54

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적격심사제 9946
99.5%
최적가격제 54
 
0.5%

Length

2024-03-23T14:41:50.566910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:41:50.794511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적격심사제 9946
99.5%
최적가격제 54
 
0.5%

적격심사여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9946 
False
 
54
ValueCountFrequency (%)
True 9946
99.5%
False 54
 
0.5%
2024-03-23T14:41:51.292161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct165
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T14:41:51.726120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.2168
Min length4

Characters and Unicode

Total characters72168
Distinct characters107
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.1%

Sample

1st row제6619부대
2nd row육군상무대근무지원단
3rd row공군 작사예하 방포사예하 제2여단
4th row국군재정관리단
5th row제5019부대
ValueCountFrequency (%)
국군재정관리단 2407
22.7%
육군 466
 
4.4%
제1군단 325
 
3.1%
제6619부대 299
 
2.8%
제5군단사령부 254
 
2.4%
제7821부대 240
 
2.3%
국군의무사령부 195
 
1.8%
제2307부대 151
 
1.4%
제2군단 149
 
1.4%
제5861부대 137
 
1.3%
Other values (160) 5961
56.3%
2024-03-23T14:41:52.629157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6383
 
8.8%
5565
 
7.7%
5550
 
7.7%
4608
 
6.4%
1 3432
 
4.8%
3330
 
4.6%
2882
 
4.0%
2630
 
3.6%
2570
 
3.6%
2420
 
3.4%
Other values (97) 32798
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56178
77.8%
Decimal Number 15406
 
21.3%
Space Separator 584
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6383
 
11.4%
5565
 
9.9%
5550
 
9.9%
4608
 
8.2%
3330
 
5.9%
2882
 
5.1%
2630
 
4.7%
2570
 
4.6%
2420
 
4.3%
2417
 
4.3%
Other values (86) 17823
31.7%
Decimal Number
ValueCountFrequency (%)
1 3432
22.3%
6 1916
12.4%
8 1886
12.2%
9 1834
11.9%
2 1800
11.7%
7 1452
9.4%
5 1269
 
8.2%
3 1031
 
6.7%
0 782
 
5.1%
4 4
 
< 0.1%
Space Separator
ValueCountFrequency (%)
584
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56178
77.8%
Common 15990
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6383
 
11.4%
5565
 
9.9%
5550
 
9.9%
4608
 
8.2%
3330
 
5.9%
2882
 
5.1%
2630
 
4.7%
2570
 
4.6%
2420
 
4.3%
2417
 
4.3%
Other values (86) 17823
31.7%
Common
ValueCountFrequency (%)
1 3432
21.5%
6 1916
12.0%
8 1886
11.8%
9 1834
11.5%
2 1800
11.3%
7 1452
9.1%
5 1269
 
7.9%
3 1031
 
6.4%
0 782
 
4.9%
584
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56178
77.8%
ASCII 15990
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6383
 
11.4%
5565
 
9.9%
5550
 
9.9%
4608
 
8.2%
3330
 
5.9%
2882
 
5.1%
2630
 
4.7%
2570
 
4.6%
2420
 
4.3%
2417
 
4.3%
Other values (86) 17823
31.7%
ASCII
ValueCountFrequency (%)
1 3432
21.5%
6 1916
12.0%
8 1886
11.8%
9 1834
11.5%
2 1800
11.3%
7 1452
9.1%
5 1269
 
7.9%
3 1031
 
6.4%
0 782
 
4.9%
584
 
3.7%
Distinct162
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T14:41:53.231525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters12
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

Unique13 ?
Unique (%)0.1%

Sample

1st row1290300
2nd rowZD00522
3rd rowZD00947
4th rowZD00303
5th rowZD00102
ValueCountFrequency (%)
zd00303 2407
24.1%
zd00279 334
 
3.3%
zd00275 325
 
3.2%
1290300 299
 
3.0%
zd00009 254
 
2.5%
1290291 195
 
1.9%
zd00001 151
 
1.5%
zd00407 149
 
1.5%
zd00300 137
 
1.4%
zd00289 129
 
1.3%
Other values (152) 5620
56.2%
2024-03-23T14:41:53.887009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25775
36.8%
Z 8682
 
12.4%
D 8671
 
12.4%
3 7032
 
10.0%
1 4797
 
6.9%
2 4167
 
6.0%
9 3541
 
5.1%
7 1852
 
2.6%
5 1543
 
2.2%
4 1535
 
2.2%
Other values (2) 2405
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52647
75.2%
Uppercase Letter 17353
 
24.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25775
49.0%
3 7032
 
13.4%
1 4797
 
9.1%
2 4167
 
7.9%
9 3541
 
6.7%
7 1852
 
3.5%
5 1543
 
2.9%
4 1535
 
2.9%
8 1375
 
2.6%
6 1030
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
Z 8682
50.0%
D 8671
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52647
75.2%
Latin 17353
 
24.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25775
49.0%
3 7032
 
13.4%
1 4797
 
9.1%
2 4167
 
7.9%
9 3541
 
6.7%
7 1852
 
3.5%
5 1543
 
2.9%
4 1535
 
2.9%
8 1375
 
2.6%
6 1030
 
2.0%
Latin
ValueCountFrequency (%)
Z 8682
50.0%
D 8671
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25775
36.8%
Z 8682
 
12.4%
D 8671
 
12.4%
3 7032
 
10.0%
1 4797
 
6.9%
2 4167
 
6.0%
9 3541
 
5.1%
7 1852
 
2.6%
5 1543
 
2.2%
4 1535
 
2.2%
Other values (2) 2405
 
3.4%
Distinct165
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T14:41:54.497421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.2168
Min length4

Characters and Unicode

Total characters72168
Distinct characters107
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.1%

Sample

1st row제6619부대
2nd row육군상무대근무지원단
3rd row공군 작사예하 방포사예하 제2여단
4th row국군재정관리단
5th row제5019부대
ValueCountFrequency (%)
국군재정관리단 2407
22.7%
육군 466
 
4.4%
제1군단 325
 
3.1%
제6619부대 299
 
2.8%
제5군단사령부 254
 
2.4%
제7821부대 240
 
2.3%
국군의무사령부 195
 
1.8%
제2307부대 151
 
1.4%
제2군단 149
 
1.4%
제5861부대 137
 
1.3%
Other values (160) 5961
56.3%
2024-03-23T14:41:55.317936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6383
 
8.8%
5565
 
7.7%
5550
 
7.7%
4608
 
6.4%
1 3432
 
4.8%
3330
 
4.6%
2882
 
4.0%
2630
 
3.6%
2570
 
3.6%
2420
 
3.4%
Other values (97) 32798
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56178
77.8%
Decimal Number 15406
 
21.3%
Space Separator 584
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6383
 
11.4%
5565
 
9.9%
5550
 
9.9%
4608
 
8.2%
3330
 
5.9%
2882
 
5.1%
2630
 
4.7%
2570
 
4.6%
2420
 
4.3%
2417
 
4.3%
Other values (86) 17823
31.7%
Decimal Number
ValueCountFrequency (%)
1 3432
22.3%
6 1916
12.4%
8 1886
12.2%
9 1834
11.9%
2 1800
11.7%
7 1452
9.4%
5 1269
 
8.2%
3 1031
 
6.7%
0 782
 
5.1%
4 4
 
< 0.1%
Space Separator
ValueCountFrequency (%)
584
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56178
77.8%
Common 15990
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6383
 
11.4%
5565
 
9.9%
5550
 
9.9%
4608
 
8.2%
3330
 
5.9%
2882
 
5.1%
2630
 
4.7%
2570
 
4.6%
2420
 
4.3%
2417
 
4.3%
Other values (86) 17823
31.7%
Common
ValueCountFrequency (%)
1 3432
21.5%
6 1916
12.0%
8 1886
11.8%
9 1834
11.5%
2 1800
11.3%
7 1452
9.1%
5 1269
 
7.9%
3 1031
 
6.4%
0 782
 
4.9%
584
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56178
77.8%
ASCII 15990
 
22.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6383
 
11.4%
5565
 
9.9%
5550
 
9.9%
4608
 
8.2%
3330
 
5.9%
2882
 
5.1%
2630
 
4.7%
2570
 
4.6%
2420
 
4.3%
2417
 
4.3%
Other values (86) 17823
31.7%
ASCII
ValueCountFrequency (%)
1 3432
21.5%
6 1916
12.0%
8 1886
11.8%
9 1834
11.5%
2 1800
11.3%
7 1452
9.1%
5 1269
 
7.9%
3 1031
 
6.4%
0 782
 
4.9%
584
 
3.7%
Distinct162
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-23T14:41:55.878536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters12
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

Unique13 ?
Unique (%)0.1%

Sample

1st row1290300
2nd rowZD00522
3rd rowZD00947
4th rowZD00303
5th rowZD00102
ValueCountFrequency (%)
zd00303 2407
24.1%
zd00279 334
 
3.3%
zd00275 325
 
3.2%
1290300 299
 
3.0%
zd00009 254
 
2.5%
1290291 195
 
1.9%
zd00001 151
 
1.5%
zd00407 149
 
1.5%
zd00300 137
 
1.4%
zd00289 129
 
1.3%
Other values (152) 5620
56.2%
2024-03-23T14:41:56.716312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25775
36.8%
Z 8682
 
12.4%
D 8671
 
12.4%
3 7032
 
10.0%
1 4797
 
6.9%
2 4167
 
6.0%
9 3541
 
5.1%
7 1852
 
2.6%
5 1543
 
2.2%
4 1535
 
2.2%
Other values (2) 2405
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52647
75.2%
Uppercase Letter 17353
 
24.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25775
49.0%
3 7032
 
13.4%
1 4797
 
9.1%
2 4167
 
7.9%
9 3541
 
6.7%
7 1852
 
3.5%
5 1543
 
2.9%
4 1535
 
2.9%
8 1375
 
2.6%
6 1030
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
Z 8682
50.0%
D 8671
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 52647
75.2%
Latin 17353
 
24.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25775
49.0%
3 7032
 
13.4%
1 4797
 
9.1%
2 4167
 
7.9%
9 3541
 
6.7%
7 1852
 
3.5%
5 1543
 
2.9%
4 1535
 
2.9%
8 1375
 
2.6%
6 1030
 
2.0%
Latin
ValueCountFrequency (%)
Z 8682
50.0%
D 8671
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25775
36.8%
Z 8682
 
12.4%
D 8671
 
12.4%
3 7032
 
10.0%
1 4797
 
6.9%
2 4167
 
6.0%
9 3541
 
5.1%
7 1852
 
2.6%
5 1543
 
2.2%
4 1535
 
2.2%
Other values (2) 2405
 
3.4%

낙찰하한율
Real number (ℝ)

Distinct19
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean86.595643
Minimum0
Maximum88
Zeros83
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T14:41:56.934266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile86.745
Q186.745
median87.745
Q387.745
95-th percentile87.745
Maximum88
Range88
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.023356
Coefficient of variation (CV)0.092653114
Kurtosis109.73764
Mean86.595643
Median Absolute Deviation (MAD)0
Skewness-10.456339
Sum865869.83
Variance64.374241
MonotonicityNot monotonic
2024-03-23T14:41:57.160890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
87.745 7284
72.8%
86.745 2163
 
21.6%
85.495 163
 
1.6%
77.995 120
 
1.2%
0.0 83
 
0.8%
85.995 57
 
0.6%
87.995 52
 
0.5%
84.245 25
 
0.2%
81.595 20
 
0.2%
72.995 7
 
0.1%
Other values (9) 25
 
0.2%
ValueCountFrequency (%)
0.0 83
0.8%
72.995 7
 
0.1%
77.995 120
1.2%
79.995 1
 
< 0.1%
80.495 3
 
< 0.1%
80.795 3
 
< 0.1%
81.595 20
 
0.2%
81.995 1
 
< 0.1%
82.395 2
 
< 0.1%
82.995 7
 
0.1%
ValueCountFrequency (%)
88.0 2
 
< 0.1%
87.995 52
 
0.5%
87.945 1
 
< 0.1%
87.745 7284
72.8%
86.745 2163
 
21.6%
85.995 57
 
0.6%
85.745 5
 
0.1%
85.495 163
 
1.6%
84.245 25
 
0.2%
82.995 7
 
0.1%

예정가격
Real number (ℝ)

MISSING  SKEWED 

Distinct9669
Distinct (%)98.9%
Missing219
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean6.9396451 × 108
Minimum1619567
Maximum2.74 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T14:41:57.386636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1619567
5-th percentile31647310
Q11.0924825 × 108
median2.2174694 × 108
Q34.684973 × 108
95-th percentile2.0233101 × 109
Maximum2.74 × 1011
Range2.7399838 × 1011
Interquartile range (IQR)3.5924905 × 108

Descriptive statistics

Standard deviation4.3515188 × 109
Coefficient of variation (CV)6.2705207
Kurtosis1890.5862
Mean6.9396451 × 108
Median Absolute Deviation (MAD)1.3564156 × 108
Skewness37.184103
Sum6.7876668 × 1012
Variance1.8935716 × 1019
MonotonicityNot monotonic
2024-03-23T14:41:57.655145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125461627 3
 
< 0.1%
187022450 3
 
< 0.1%
183325158 3
 
< 0.1%
125424879 3
 
< 0.1%
136494594 3
 
< 0.1%
210365222 2
 
< 0.1%
244944268 2
 
< 0.1%
25354181 2
 
< 0.1%
99888337 2
 
< 0.1%
38174458 2
 
< 0.1%
Other values (9659) 9756
97.6%
(Missing) 219
 
2.2%
ValueCountFrequency (%)
1619567 1
< 0.1%
1866388 1
< 0.1%
2989730 1
< 0.1%
3176559 1
< 0.1%
3283874 1
< 0.1%
4324073 1
< 0.1%
4998779 2
< 0.1%
5258563 1
< 0.1%
5664548 1
< 0.1%
5672420 1
< 0.1%
ValueCountFrequency (%)
274000000000 1
< 0.1%
150000000000 1
< 0.1%
115000000000 1
< 0.1%
105000000000 1
< 0.1%
94464000000 1
< 0.1%
91097838356 1
< 0.1%
86683006622 1
< 0.1%
71510254095 1
< 0.1%
61582324088 1
< 0.1%
59085683491 1
< 0.1%

기초금액
Real number (ℝ)

SKEWED 

Distinct9609
Distinct (%)96.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.9089281 × 108
Minimum1621909
Maximum2.75 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T14:41:57.939226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1621909
5-th percentile31575799
Q11.09 × 108
median2.2132136 × 108
Q34.6796078 × 108
95-th percentile2.0144889 × 109
Maximum2.75 × 1011
Range2.7499838 × 1011
Interquartile range (IQR)3.5896078 × 108

Descriptive statistics

Standard deviation4.3318879 × 109
Coefficient of variation (CV)6.2699855
Kurtosis1916.5669
Mean6.9089281 × 108
Median Absolute Deviation (MAD)1.3566468 × 108
Skewness37.440699
Sum6.9082372 × 1012
Variance1.8765253 × 1019
MonotonicityNot monotonic
2024-03-23T14:41:58.222789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250000000 9
 
0.1%
130000000 8
 
0.1%
150000000 7
 
0.1%
180000000 7
 
0.1%
120000000 6
 
0.1%
200000000 5
 
0.1%
123000000 5
 
0.1%
60000000 5
 
0.1%
299000000 5
 
0.1%
160000000 4
 
< 0.1%
Other values (9599) 9938
99.4%
ValueCountFrequency (%)
1621909 1
 
< 0.1%
1900000 1
 
< 0.1%
3023910 1
 
< 0.1%
3246000 1
 
< 0.1%
3300000 1
 
< 0.1%
4329640 1
 
< 0.1%
5093000 3
< 0.1%
5362420 1
 
< 0.1%
5751000 1
 
< 0.1%
5762000 1
 
< 0.1%
ValueCountFrequency (%)
275000000000 1
< 0.1%
151000000000 1
< 0.1%
116000000000 1
< 0.1%
108000000000 1
< 0.1%
94464000000 1
< 0.1%
90717508823 1
< 0.1%
86405857320 1
< 0.1%
72658753590 1
< 0.1%
62656690000 1
< 0.1%
59668295000 1
< 0.1%

추정가격
Real number (ℝ)

SKEWED  ZEROS 

Distinct5054
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8077965 × 108
Minimum0
Maximum2.8 × 1011
Zeros4766
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T14:41:58.469015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median27071332
Q32.5192318 × 108
95-th percentile1.2787718 × 109
Maximum2.8 × 1011
Range2.8 × 1011
Interquartile range (IQR)2.5192318 × 108

Descriptive statistics

Standard deviation3.586001 × 109
Coefficient of variation (CV)9.4175228
Kurtosis3991.4523
Mean3.8077965 × 108
Median Absolute Deviation (MAD)27071332
Skewness56.750965
Sum3.8077965 × 1012
Variance1.2859403 × 1019
MonotonicityNot monotonic
2024-03-23T14:41:58.717571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4766
47.7%
227272727 10
 
0.1%
54545454 5
 
0.1%
81818181 4
 
< 0.1%
90909090 4
 
< 0.1%
109090909 4
 
< 0.1%
163636363 4
 
< 0.1%
116097272 3
 
< 0.1%
272727272 3
 
< 0.1%
125290909 3
 
< 0.1%
Other values (5044) 5194
51.9%
ValueCountFrequency (%)
0 4766
47.7%
3000000 1
 
< 0.1%
5442727 1
 
< 0.1%
6688181 1
 
< 0.1%
6777272 1
 
< 0.1%
6889090 1
 
< 0.1%
7182218 1
 
< 0.1%
7272050 1
 
< 0.1%
7412727 1
 
< 0.1%
7441818 1
 
< 0.1%
ValueCountFrequency (%)
280000000000 1
< 0.1%
138000000000 1
< 0.1%
92531859000 1
< 0.1%
80423498131 1
< 0.1%
56524085000 1
< 0.1%
38266937000 1
< 0.1%
31830611818 1
< 0.1%
31125283636 1
< 0.1%
30546020500 1
< 0.1%
20418090000 1
< 0.1%
Distinct1603
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-13 00:00:00
Maximum2023-09-22 00:00:00
2024-03-23T14:41:59.049123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:41:59.404400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-23 10:00:00
Maximum2024-03-23 17:00:00
2024-03-23T14:41:59.639816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:41:59.824617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

개찰결과구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
개찰완료
9781 
유찰
 
131
순위확정
 
88

Length

Max length4
Median length4
Mean length3.9738
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개찰완료 9781
97.8%
유찰 131
 
1.3%
순위확정 88
 
0.9%

Length

2024-03-23T14:42:00.134814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:42:00.381178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개찰완료 9781
97.8%
유찰 131
 
1.3%
순위확정 88
 
0.9%

최종낙찰율
Real number (ℝ)

MISSING 

Distinct2248
Distinct (%)23.0%
Missing219
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean87.457215
Minimum0
Maximum99.899
Zeros29
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-23T14:42:00.646385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile86.745
Q187.745
median87.756
Q388.137
95-th percentile88.796
Maximum99.899
Range99.899
Interquartile range (IQR)0.392

Descriptive statistics

Standard deviation5.0118992
Coefficient of variation (CV)0.05730687
Kurtosis272.36306
Mean87.457215
Median Absolute Deviation (MAD)0.157
Skewness-15.809593
Sum855419.02
Variance25.119134
MonotonicityNot monotonic
2024-03-23T14:42:00.895276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.745 687
 
6.9%
87.746 415
 
4.2%
87.747 298
 
3.0%
86.745 258
 
2.6%
87.748 227
 
2.3%
87.749 207
 
2.1%
87.75 148
 
1.5%
87.751 141
 
1.4%
87.752 120
 
1.2%
87.755 101
 
1.0%
Other values (2238) 7179
71.8%
(Missing) 219
 
2.2%
ValueCountFrequency (%)
0.0 29
0.3%
73.018 1
 
< 0.1%
73.053 1
 
< 0.1%
73.081 1
 
< 0.1%
73.364 1
 
< 0.1%
73.995 1
 
< 0.1%
76.649 1
 
< 0.1%
77.073 1
 
< 0.1%
77.998 1
 
< 0.1%
78.0 1
 
< 0.1%
ValueCountFrequency (%)
99.899 1
< 0.1%
99.864 1
< 0.1%
99.631 1
< 0.1%
99.591 1
< 0.1%
99.423 1
< 0.1%
99.134 1
< 0.1%
99.057 1
< 0.1%
98.984 1
< 0.1%
98.766 1
< 0.1%
98.692 1
< 0.1%

최종낙찰일자
Date

MISSING 

Distinct1620
Distinct (%)16.6%
Missing219
Missing (%)2.2%
Memory size156.2 KiB
Minimum2016-01-13 00:00:00
Maximum2023-09-22 00:00:00
2024-03-23T14:42:01.170417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:42:01.637372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최종낙찰업체명
Text

MISSING 

Distinct6692
Distinct (%)68.4%
Missing219
Missing (%)2.2%
Memory size156.2 KiB
2024-03-23T14:42:02.049824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length9.6450261
Min length2

Characters and Unicode

Total characters94338
Distinct characters623
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5183 ?
Unique (%)53.0%

Sample

1st row세운건축사사무소
2nd row(주)영동이앤씨
3rd row예광건설(주)
4th row신성설비 주식회사
5th row대형환경(주)
ValueCountFrequency (%)
주식회사 4681
31.0%
건축사사무소 191
 
1.3%
유한회사 102
 
0.7%
합자회사 81
 
0.5%
80
 
0.5%
종합건축사사무소그룹예성 36
 
0.2%
테마엔지니어링종합건축사사무소 33
 
0.2%
株式會社 29
 
0.2%
정우엔지니어링건축사사무소 28
 
0.2%
종합건축사사무소 25
 
0.2%
Other values (6652) 9822
65.0%
2024-03-23T14:42:02.948813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8971
 
9.5%
8475
 
9.0%
5665
 
6.0%
5460
 
5.8%
5368
 
5.7%
4586
 
4.9%
) 3086
 
3.3%
( 3085
 
3.3%
2780
 
2.9%
1831
 
1.9%
Other values (613) 45031
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82399
87.3%
Space Separator 5368
 
5.7%
Close Punctuation 3098
 
3.3%
Open Punctuation 3096
 
3.3%
Uppercase Letter 192
 
0.2%
Other Punctuation 105
 
0.1%
Lowercase Letter 68
 
0.1%
Decimal Number 7
 
< 0.1%
Math Symbol 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8971
 
10.9%
8475
 
10.3%
5665
 
6.9%
5460
 
6.6%
4586
 
5.6%
2780
 
3.4%
1831
 
2.2%
1669
 
2.0%
1631
 
2.0%
1629
 
2.0%
Other values (563) 39702
48.2%
Uppercase Letter
ValueCountFrequency (%)
E 23
12.0%
N 23
12.0%
L 18
9.4%
C 15
 
7.8%
T 15
 
7.8%
K 14
 
7.3%
S 13
 
6.8%
G 12
 
6.2%
I 11
 
5.7%
O 8
 
4.2%
Other values (12) 40
20.8%
Lowercase Letter
ValueCountFrequency (%)
o 17
25.0%
d 15
22.1%
t 12
17.6%
e 7
10.3%
n 3
 
4.4%
y 2
 
2.9%
c 2
 
2.9%
r 2
 
2.9%
g 2
 
2.9%
i 2
 
2.9%
Other values (4) 4
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 79
75.2%
& 14
 
13.3%
, 12
 
11.4%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 3
42.9%
5 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 3086
99.6%
12
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 3085
99.6%
11
 
0.4%
Space Separator
ValueCountFrequency (%)
5368
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82149
87.1%
Common 11678
 
12.4%
Latin 260
 
0.3%
Han 251
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8971
 
10.9%
8475
 
10.3%
5665
 
6.9%
5460
 
6.6%
4586
 
5.6%
2780
 
3.4%
1831
 
2.2%
1669
 
2.0%
1631
 
2.0%
1629
 
2.0%
Other values (503) 39452
48.0%
Han
ValueCountFrequency (%)
30
12.0%
30
12.0%
29
11.6%
29
11.6%
23
 
9.2%
19
 
7.6%
8
 
3.2%
5
 
2.0%
4
 
1.6%
3
 
1.2%
Other values (51) 71
28.3%
Latin
ValueCountFrequency (%)
E 23
 
8.8%
N 23
 
8.8%
L 18
 
6.9%
o 17
 
6.5%
d 15
 
5.8%
C 15
 
5.8%
T 15
 
5.8%
K 14
 
5.4%
S 13
 
5.0%
G 12
 
4.6%
Other values (26) 95
36.5%
Common
ValueCountFrequency (%)
5368
46.0%
) 3086
26.4%
( 3085
26.4%
. 79
 
0.7%
& 14
 
0.1%
12
 
0.1%
, 12
 
0.1%
11
 
0.1%
2 3
 
< 0.1%
+ 3
 
< 0.1%
Other values (3) 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82148
87.1%
ASCII 11915
 
12.6%
CJK 247
 
0.3%
None 24
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8971
 
10.9%
8475
 
10.3%
5665
 
6.9%
5460
 
6.6%
4586
 
5.6%
2780
 
3.4%
1831
 
2.2%
1669
 
2.0%
1631
 
2.0%
1629
 
2.0%
Other values (502) 39451
48.0%
ASCII
ValueCountFrequency (%)
5368
45.1%
) 3086
25.9%
( 3085
25.9%
. 79
 
0.7%
E 23
 
0.2%
N 23
 
0.2%
L 18
 
0.2%
o 17
 
0.1%
d 15
 
0.1%
C 15
 
0.1%
Other values (37) 186
 
1.6%
CJK
ValueCountFrequency (%)
30
12.1%
30
12.1%
29
11.7%
29
11.7%
23
 
9.3%
19
 
7.7%
8
 
3.2%
5
 
2.0%
4
 
1.6%
3
 
1.2%
Other values (49) 67
27.1%
None
ValueCountFrequency (%)
12
50.0%
11
45.8%
1
 
4.2%
CJK Compat Ideographs
ValueCountFrequency (%)
2
50.0%
2
50.0%
Distinct6037
Distinct (%)61.7%
Missing219
Missing (%)2.2%
Memory size156.2 KiB
2024-03-23T14:42:03.556010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.995297
Min length2

Characters and Unicode

Total characters29297
Distinct characters277
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4344 ?
Unique (%)44.4%

Sample

1st row노상온
2nd row박정일
3rd row최현덕
4th row신홍균
5th row강희권
ValueCountFrequency (%)
김수찬 36
 
0.4%
정우철 33
 
0.3%
유영만 28
 
0.3%
김경옥 27
 
0.3%
이용호 23
 
0.2%
임재환 22
 
0.2%
장연철 22
 
0.2%
김무영 21
 
0.2%
황경택 21
 
0.2%
전호철 20
 
0.2%
Other values (6041) 9549
97.4%
2024-03-23T14:42:04.526569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2168
 
7.4%
1461
 
5.0%
1027
 
3.5%
931
 
3.2%
753
 
2.6%
582
 
2.0%
580
 
2.0%
556
 
1.9%
488
 
1.7%
474
 
1.6%
Other values (267) 20277
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29273
99.9%
Space Separator 24
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2168
 
7.4%
1461
 
5.0%
1027
 
3.5%
931
 
3.2%
753
 
2.6%
582
 
2.0%
580
 
2.0%
556
 
1.9%
488
 
1.7%
474
 
1.6%
Other values (266) 20253
69.2%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29273
99.9%
Common 24
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2168
 
7.4%
1461
 
5.0%
1027
 
3.5%
931
 
3.2%
753
 
2.6%
582
 
2.0%
580
 
2.0%
556
 
1.9%
488
 
1.7%
474
 
1.6%
Other values (266) 20253
69.2%
Common
ValueCountFrequency (%)
24
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29273
99.9%
ASCII 24
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2168
 
7.4%
1461
 
5.0%
1027
 
3.5%
931
 
3.2%
753
 
2.6%
582
 
2.0%
580
 
2.0%
556
 
1.9%
488
 
1.7%
474
 
1.6%
Other values (266) 20253
69.2%
ASCII
ValueCountFrequency (%)
24
100.0%
Distinct6219
Distinct (%)63.8%
Missing249
Missing (%)2.5%
Memory size156.2 KiB
2024-03-23T14:42:05.217399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length2.993334
Min length2

Characters and Unicode

Total characters29188
Distinct characters293
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

Unique4555 ?
Unique (%)46.7%

Sample

1st row노상온
2nd row김형준
3rd row최장실
4th row신홍균
5th row박현우
ValueCountFrequency (%)
공경필 29
 
0.3%
정용택 28
 
0.3%
정민주 25
 
0.3%
이수영 21
 
0.2%
임재환 21
 
0.2%
박경훈 21
 
0.2%
손상현 18
 
0.2%
이영장 17
 
0.2%
박병준 17
 
0.2%
김미옥 17
 
0.2%
Other values (6212) 9540
97.8%
2024-03-23T14:42:06.068058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2050
 
7.0%
1428
 
4.9%
1279
 
4.4%
976
 
3.3%
800
 
2.7%
612
 
2.1%
595
 
2.0%
581
 
2.0%
572
 
2.0%
553
 
1.9%
Other values (283) 19742
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29164
99.9%
Uppercase Letter 19
 
0.1%
Space Separator 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2050
 
7.0%
1428
 
4.9%
1279
 
4.4%
976
 
3.3%
800
 
2.7%
612
 
2.1%
595
 
2.0%
581
 
2.0%
572
 
2.0%
553
 
1.9%
Other values (271) 19718
67.6%
Uppercase Letter
ValueCountFrequency (%)
A 4
21.1%
I 3
15.8%
N 3
15.8%
H 2
10.5%
M 1
 
5.3%
U 1
 
5.3%
W 1
 
5.3%
C 1
 
5.3%
L 1
 
5.3%
G 1
 
5.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29164
99.9%
Latin 19
 
0.1%
Common 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2050
 
7.0%
1428
 
4.9%
1279
 
4.4%
976
 
3.3%
800
 
2.7%
612
 
2.1%
595
 
2.0%
581
 
2.0%
572
 
2.0%
553
 
1.9%
Other values (271) 19718
67.6%
Latin
ValueCountFrequency (%)
A 4
21.1%
I 3
15.8%
N 3
15.8%
H 2
10.5%
M 1
 
5.3%
U 1
 
5.3%
W 1
 
5.3%
C 1
 
5.3%
L 1
 
5.3%
G 1
 
5.3%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29164
99.9%
ASCII 24
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2050
 
7.0%
1428
 
4.9%
1279
 
4.4%
976
 
3.3%
800
 
2.7%
612
 
2.1%
595
 
2.0%
581
 
2.0%
572
 
2.0%
553
 
1.9%
Other values (271) 19718
67.6%
ASCII
ValueCountFrequency (%)
5
20.8%
A 4
16.7%
I 3
12.5%
N 3
12.5%
H 2
 
8.3%
M 1
 
4.2%
U 1
 
4.2%
W 1
 
4.2%
C 1
 
4.2%
L 1
 
4.2%
Other values (2) 2
 
8.3%
Distinct6845
Distinct (%)70.0%
Missing219
Missing (%)2.2%
Memory size156.2 KiB
2024-03-23T14:42:07.153766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters117372
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

Unique5423 ?
Unique (%)55.4%

Sample

1st row611-05-06264
2nd row417-81-02210
3rd row308-81-13882
4th row313-81-26114
5th row308-81-09656
ValueCountFrequency (%)
102-81-39038 36
 
0.4%
142-81-03300 33
 
0.3%
215-81-67261 28
 
0.3%
211-81-53940 22
 
0.2%
408-81-42391 21
 
0.2%
220-81-11342 21
 
0.2%
198-88-00998 21
 
0.2%
625-86-00098 19
 
0.2%
130-86-38081 19
 
0.2%
361-81-00374 18
 
0.2%
Other values (6835) 9543
97.6%
2024-03-23T14:42:07.925057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19562
16.7%
1 19485
16.6%
8 14631
12.5%
2 11764
10.0%
0 10670
9.1%
3 8374
7.1%
6 7731
 
6.6%
4 7499
 
6.4%
5 6642
 
5.7%
7 5986
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97810
83.3%
Dash Punctuation 19562
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19485
19.9%
8 14631
15.0%
2 11764
12.0%
0 10670
10.9%
3 8374
8.6%
6 7731
 
7.9%
4 7499
 
7.7%
5 6642
 
6.8%
7 5986
 
6.1%
9 5028
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 19562
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19562
16.7%
1 19485
16.6%
8 14631
12.5%
2 11764
10.0%
0 10670
9.1%
3 8374
7.1%
6 7731
 
6.6%
4 7499
 
6.4%
5 6642
 
5.7%
7 5986
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19562
16.7%
1 19485
16.6%
8 14631
12.5%
2 11764
10.0%
0 10670
9.1%
3 8374
7.1%
6 7731
 
6.6%
4 7499
 
6.4%
5 6642
 
5.7%
7 5986
 
5.1%
Distinct6782
Distinct (%)69.3%
Missing219
Missing (%)2.2%
Memory size156.2 KiB
2024-03-23T14:42:08.604923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length54
Mean length29.24384
Min length13

Characters and Unicode

Total characters286034
Distinct characters661
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5329 ?
Unique (%)54.5%

Sample

1st row경상남도 창원시 성산구 원이대로883번길15-24 (가음동, 가음동상가)
2nd row전라남도 여수시 봉계6길12-1 (봉계동)
3rd row충청남도 예산군 예산읍 역전로125번길38-0
4th row충청남도 보령시 맷독1길35, 2층 (궁촌동)
5th row충청남도 논산시 벌곡면 대둔로 1290-23()
ValueCountFrequency (%)
경기도 3346
 
6.9%
강원특별자치도 1669
 
3.4%
경상남도 651
 
1.3%
서울특별시 623
 
1.3%
2층 542
 
1.1%
경상북도 531
 
1.1%
충청북도 490
 
1.0%
충청남도 467
 
1.0%
인천광역시 428
 
0.9%
원주시 422
 
0.9%
Other values (12338) 39527
81.2%
2024-03-23T14:42:09.713428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39346
 
13.8%
1 10047
 
3.5%
8791
 
3.1%
8753
 
3.1%
8377
 
2.9%
8097
 
2.8%
0 7635
 
2.7%
2 7572
 
2.6%
) 7466
 
2.6%
( 7456
 
2.6%
Other values (651) 172494
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169905
59.4%
Decimal Number 50607
 
17.7%
Space Separator 39346
 
13.8%
Close Punctuation 7466
 
2.6%
Open Punctuation 7456
 
2.6%
Other Punctuation 5650
 
2.0%
Dash Punctuation 5033
 
1.8%
Uppercase Letter 514
 
0.2%
Lowercase Letter 44
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8791
 
5.2%
8753
 
5.2%
8377
 
4.9%
8097
 
4.8%
4954
 
2.9%
4796
 
2.8%
4427
 
2.6%
3704
 
2.2%
3647
 
2.1%
3645
 
2.1%
Other values (593) 110714
65.2%
Uppercase Letter
ValueCountFrequency (%)
B 74
14.4%
A 57
11.1%
C 52
10.1%
S 49
9.5%
K 46
 
8.9%
T 27
 
5.3%
D 26
 
5.1%
F 24
 
4.7%
I 22
 
4.3%
M 21
 
4.1%
Other values (15) 116
22.6%
Lowercase Letter
ValueCountFrequency (%)
e 8
18.2%
n 8
18.2%
s 4
9.1%
t 4
9.1%
r 3
 
6.8%
k 3
 
6.8%
o 3
 
6.8%
b 2
 
4.5%
w 2
 
4.5%
c 2
 
4.5%
Other values (4) 5
11.4%
Decimal Number
ValueCountFrequency (%)
1 10047
19.9%
0 7635
15.1%
2 7572
15.0%
3 5559
11.0%
4 4603
9.1%
5 4233
8.4%
6 3307
 
6.5%
7 2887
 
5.7%
8 2531
 
5.0%
9 2233
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 5587
98.9%
. 56
 
1.0%
/ 6
 
0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
39346
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7466
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7456
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5033
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169905
59.4%
Common 115571
40.4%
Latin 558
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8791
 
5.2%
8753
 
5.2%
8377
 
4.9%
8097
 
4.8%
4954
 
2.9%
4796
 
2.8%
4427
 
2.6%
3704
 
2.2%
3647
 
2.1%
3645
 
2.1%
Other values (593) 110714
65.2%
Latin
ValueCountFrequency (%)
B 74
13.3%
A 57
 
10.2%
C 52
 
9.3%
S 49
 
8.8%
K 46
 
8.2%
T 27
 
4.8%
D 26
 
4.7%
F 24
 
4.3%
I 22
 
3.9%
M 21
 
3.8%
Other values (29) 160
28.7%
Common
ValueCountFrequency (%)
39346
34.0%
1 10047
 
8.7%
0 7635
 
6.6%
2 7572
 
6.6%
) 7466
 
6.5%
( 7456
 
6.5%
, 5587
 
4.8%
3 5559
 
4.8%
- 5033
 
4.4%
4 4603
 
4.0%
Other values (9) 15267
 
13.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169905
59.4%
ASCII 116129
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39346
33.9%
1 10047
 
8.7%
0 7635
 
6.6%
2 7572
 
6.5%
) 7466
 
6.4%
( 7456
 
6.4%
, 5587
 
4.8%
3 5559
 
4.8%
- 5033
 
4.3%
4 4603
 
4.0%
Other values (48) 15825
13.6%
Hangul
ValueCountFrequency (%)
8791
 
5.2%
8753
 
5.2%
8377
 
4.9%
8097
 
4.8%
4954
 
2.9%
4796
 
2.8%
4427
 
2.6%
3704
 
2.2%
3647
 
2.1%
3645
 
2.1%
Other values (593) 110714
65.2%

Sample

입찰공고번호입찰공고차수입찰공고명업무구분명계약체결형태명계약체결방법명낙찰자결정방법명적격심사여부공고기관명공고기관코드수요기관명수요기관코드낙찰하한율예정가격기초금액추정가격개찰일자개찰시각개찰결과구분명최종낙찰율최종낙찰일자최종낙찰업체명최종낙찰업체대표자명최종낙찰업체담당자명최종낙찰업체사업자등록번호최종낙찰업체주소
31104LHQ0023123-경-육-22 설계용역용역총액계약제한경쟁적격심사제Y제6619부대1290300제6619부대129030087.7456442351164659803599572722023-02-2110:30:00개찰완료87.7452023-02-21세운건축사사무소노상온노상온611-05-06264경상남도 창원시 성산구 원이대로883번길15-24 (가음동, 가음동상가)
29097LGH00141공병교 부사관 생활관 난방배관 교체공사공사총액계약제한경쟁적격심사제Y육군상무대근무지원단ZD00522육군상무대근무지원단ZD0052287.7452438492952450980192272727092022-05-0310:30:00개찰완료88.4612022-05-03(주)영동이앤씨박정일김형준417-81-02210전라남도 여수시 봉계6길12-1 (봉계동)
19641UHC0031120-충-공-5A 급수관로 교체공사공사총액계약제한경쟁적격심사제Y공군 작사예하 방포사예하 제2여단ZD00947공군 작사예하 방포사예하 제2여단ZD0094787.7459923461179984774509258609092020-06-1011:00:00개찰완료88.9372020-06-10예광건설(주)최현덕최장실308-81-13882충청남도 예산군 예산읍 역전로125번길38-0
25604UMM2230121-육-00부대 기계공사(1461)공사총액계약일반경쟁적격심사제Y국군재정관리단ZD00303국군재정관리단ZD0030387.7453762426773762382353488761132021-12-2311:00:00개찰완료89.252021-12-23신성설비 주식회사신홍균신홍균313-81-26114충청남도 보령시 맷독1길35, 2층 (궁촌동)
17878LHR0093119-충-육-30B 건설폐기물(유휴시설 철거)용역총액계약일반경쟁적격심사제Y제5019부대ZD00102제5019부대ZD0010286.74522607051922938900002019-06-1710:30:00개찰완료86.7492019-06-17대형환경(주)강희권박현우308-81-09656충청남도 논산시 벌곡면 대둔로 1290-23()
10748UMM0379119-공-충주기지 건설폐기물처리용역(D045)용역총액계약일반경쟁적격심사제Y국군재정관리단ZD00303국군재정관리단ZD0030386.74535178256335695000002019-05-2210:30:00개찰완료86.7462019-05-22(주)지솔알이에이치유재원정영화135-81-69717경기도 용인시 처인구 남사읍 경기동로36
2594LNF0060100지역 건물인입 케이블 매설 통신공사공사총액계약제한경쟁적격심사제Y제1보병사단ZD00049제1보병사단ZD0004987.74525408038825699983002016-06-0810:30:00개찰완료87.7462016-06-08주식회사 동산텔레콤송동조민선화106-81-35107경기도 광명시 서독로104번길8-0 (가학동)
22415LCK0038100부대 설계용역(21-022)용역총액계약제한경쟁적격심사제Y수도방위사령부ZD00069수도방위사령부ZD0006987.7451151347741165940001059945452021-04-2010:30:00개찰완료87.792021-04-20주식회사 동산이정희박민선125-86-03843경기도 광주시 오포읍 수렁개길45-2(문형동)
15988LHM01341TOD 통합상황실 구성 이전공사공사총액계약제한경쟁적격심사제Y제6685부대ZD00115제6685부대ZD0011587.7451443246231453340001348181812019-12-1011:00:00개찰완료87.7492019-12-10(주)사운드폭스코리아남진규남진규215-86-29054강원특별자치도 정선군 남면 무릉2로 47(증산농공단지내)
19577LKH0134152군지단 급식유통센터 신축공사(기계)공사총액계약일반경쟁적격심사제Y제6128부대ZD00091제6128부대ZD0009186.7451381127262138035196012799627272020-06-1810:30:00개찰완료89.1242020-06-18(주)에이스테크임군택김지영416-81-11093전라남도 광양시 중마중앙로215 (중동)
입찰공고번호입찰공고차수입찰공고명업무구분명계약체결형태명계약체결방법명낙찰자결정방법명적격심사여부공고기관명공고기관코드수요기관명수요기관코드낙찰하한율예정가격기초금액추정가격개찰일자개찰시각개찰결과구분명최종낙찰율최종낙찰일자최종낙찰업체명최종낙찰업체대표자명최종낙찰업체담당자명최종낙찰업체사업자등록번호최종낙찰업체주소
556UMM0764100부대 취사식당 신축 시설공사(16-1154)공사총액계약제한경쟁적격심사제Y국군재정관리단ZD00303국군재정관리단ZD0030386.7451326431525134841080002016-09-0111:00:00개찰완료86.7632016-09-01(합)대원안현구김효진224-81-06405강원특별자치도 원주시 천사로14,2층 (단계동,봉화산프라자)
30223UMM0103123-F-지상장비 정비고 설계용역(D007)용역총액계약일반경쟁적격심사제Y국군재정관리단ZD00303국군재정관리단ZD0030386.7454585937964587156863913625452023-03-2810:30:00개찰완료86.7562023-03-28주식회사 목양종합건축사사무소김경옥박병준408-81-42391경기도 안양시 동안구 학의로282, 10층 1004호(관양동,금강펜테리움아이티타워)
3568LGD0004100지역 체육시설 바닥교체 공사(인조잔디)공사총액계약제한경쟁적격심사제Y육군종합행정학교ZD00108육군종합행정학교ZD0010887.74513982936614186604002017-06-2711:00:00개찰완료87.7912017-06-27주식회사 미평조경건설김용각김용각317-81-34412충청북도 청주시 상당구 월평로144번길24(용암동)
5599UMM0538117-주한-병원 건설폐기물용역(E005)공사총액계약일반경쟁적격심사제Y국군재정관리단ZD00303국군재정관리단ZD0030386.74528949749629517000002017-05-3010:30:00개찰완료86.7912017-05-30대진환경산업(주)장인자신승철304-81-08261충청북도 제천시 송학면 송학주천로2길 96대진환경산업(주)
1893SFG0042116-K-00지역 통신시설물 지장 이설 공사공사총액계약일반경쟁적격심사제Y제9181부대ZD00151제9181부대ZD0015186.7452046739832202995000002016-05-1010:30:00개찰완료86.7462016-05-10(주)선인프라엄선식한상미119-81-83944경기도 성남시 중원구 사기막골로124 비즈센터동 1006호 (상대원동)
2733LDG004512탄약창 기혼아파트 보수공사-건축공사총액계약제한경쟁적격심사제Y육군 제3808부대ZD00086육군 제3808부대ZD0008687.74529933659930533600002016-06-1711:00:00개찰완료87.7572016-06-17수정산업개발(주)김수준윤보라511-81-06390경상북도 칠곡군 북삼읍 인강9길13-1 2층
22131UMM0967121-육-00부대 시설공사(1142)공사총액계약제한경쟁적격심사제Y국군재정관리단ZD00303국군재정관리단ZD0030386.7451426156047143536123713075829992021-06-2211:00:00개찰완료87.662021-06-22금강산업 주식회사김유현남궁수138-81-04843경기도 과천시 향나무로15-6 (과천동)
31135LNS01751경계시설 보강(1공구) 시설공사(22-224)공사총액계약제한경쟁적격심사제Y제5708부대ZD00095제5708부대ZD0009586.7451392701802139538700012685336362022-12-1511:00:00개찰완료87.5082022-12-15정운종합건설(주)최영석최제녕313-81-35141경기도 수원시 팔달구 권광로134번길40, 5층 2호(인계동, 두선빌딩)
5952UMM0484100부대 취사식당 신축 시설공사(17-1111)공사총액계약제한경쟁적격심사제Y국군재정관리단ZD00303국군재정관리단ZD0030386.7452606226390263213448502017-05-1711:00:00개찰완료86.7452017-05-17남광건설 주식회사이동금이동금215-86-04785경기도 안성시 보개원삼로63 (가사동)
27772LNT01481통합생활관 노후배관 보수 본공사공사총액계약제한경쟁적격심사제Y제28보병사단ZD00018제28보병사단ZD0001887.7453097471203096707752834909182022-08-0910:30:00개찰완료88.4352022-08-09주식회사 한도전찬복이현정554-88-00368경기도 용인시 처인구 중부대로1335-1 (역북동)4층