Overview

Dataset statistics

Number of variables55
Number of observations10000
Missing cells157557
Missing cells (%)28.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 MiB
Average record size in memory460.0 B

Variable types

Text19
Categorical12
Boolean5
DateTime9
Numeric2
Unsupported8

Dataset

Description방위사업청 및 각 군이 국내에서 조달하는 시설공사 경쟁 입찰공고 정보를 제공합니다.입찰공고번호,입찰공고차수,참조공고번호,참조공고차수,나라장터공고여부,입찰공고명 등 수록
Author방위사업청
URLhttps://www.data.go.kr/data/15050926/fileData.do

Alerts

계약체결형태명 has constant value ""Constant
개찰장소 has constant value ""Constant
입찰공고차수 is highly imbalanced (67.0%)Imbalance
참조공고차수 is highly imbalanced (67.0%)Imbalance
나라장터공고여부 is highly imbalanced (95.5%)Imbalance
전자입찰여부 is highly imbalanced (99.5%)Imbalance
계약체결방법명 is highly imbalanced (65.4%)Imbalance
낙찰자결정방법명 is highly imbalanced (89.7%)Imbalance
설명회실시여부 is highly imbalanced (90.7%)Imbalance
설명회실시장소 is highly imbalanced (97.3%)Imbalance
공종및면허제한그룹5 is highly imbalanced (98.5%)Imbalance
입찰공고링크주소(URL) is highly imbalanced (75.5%)Imbalance
설명회실시일자 has 9904 (99.0%) missing valuesMissing
설명회실시시각 has 9904 (99.0%) missing valuesMissing
예산금액 has 472 (4.7%) missing valuesMissing
참여가능지역명 has 1987 (19.9%) missing valuesMissing
공종및면허제한그룹1 has 101 (1.0%) missing valuesMissing
공종및면허제한그룹2 has 6112 (61.1%) missing valuesMissing
공종및면허제한그룹3 has 9313 (93.1%) missing valuesMissing
공종및면허제한그룹4 has 9809 (98.1%) missing valuesMissing
공종및면허제한그룹6 has 9973 (99.7%) missing valuesMissing
공종및면허제한그룹7 has 9991 (99.9%) missing valuesMissing
공종및면허제한그룹8 has 9991 (99.9%) missing valuesMissing
공종및면허제한그룹9 has 10000 (100.0%) missing valuesMissing
공종및면허제한그룹10 has 10000 (100.0%) missing valuesMissing
공종및면허제한그룹11 has 10000 (100.0%) missing valuesMissing
공종및면허제한그룹12 has 10000 (100.0%) missing valuesMissing
공종및면허제한그룹13 has 10000 (100.0%) missing valuesMissing
공종및면허제한그룹14 has 10000 (100.0%) missing valuesMissing
공종및면허제한그룹15 has 10000 (100.0%) missing valuesMissing
공종및면허제한그룹16 has 10000 (100.0%) missing valuesMissing
예산금액 is highly skewed (γ1 = 25.10342948)Skewed
배정예산금액(설계금액) is highly skewed (γ1 = 53.19620716)Skewed
공종및면허제한그룹9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공종및면허제한그룹10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공종및면허제한그룹11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공종및면허제한그룹12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공종및면허제한그룹13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공종및면허제한그룹14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공종및면허제한그룹15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공종및면허제한그룹16 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 08:02:07.165765
Analysis finished2024-04-06 08:02:12.856322
Duration5.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct7126
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:13.311084image/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

Unique4919 ?
Unique (%)49.2%

Sample

1st rowSFD0016
2nd rowUAC0024
3rd rowHDP0018
4th rowLHN0104
5th rowUMM0124
ValueCountFrequency (%)
hdq0001 6
 
0.1%
umm0098 6
 
0.1%
lkm0058 5
 
< 0.1%
umm0785 5
 
< 0.1%
umm0382 5
 
< 0.1%
lgm0104 5
 
< 0.1%
umm0811 5
 
< 0.1%
lcf0003 5
 
< 0.1%
lcf0009 5
 
< 0.1%
umm0781 5
 
< 0.1%
Other values (7116) 9948
99.5%
2024-04-06T17:02:14.197833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17922
25.6%
M 6231
 
8.9%
L 5035
 
7.2%
1 4932
 
7.0%
2 2933
 
4.2%
H 2714
 
3.9%
3 2515
 
3.6%
U 2319
 
3.3%
4 2282
 
3.3%
5 2119
 
3.0%
Other values (23) 20998
30.0%

Most occurring categories

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

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 6231
20.8%
L 5035
16.8%
H 2714
9.0%
U 2319
 
7.7%
D 2102
 
7.0%
C 1925
 
6.4%
G 1647
 
5.5%
F 1357
 
4.5%
S 1356
 
4.5%
N 1284
 
4.3%
Other values (13) 4030
13.4%
Decimal Number
ValueCountFrequency (%)
0 17922
44.8%
1 4932
 
12.3%
2 2933
 
7.3%
3 2515
 
6.3%
4 2282
 
5.7%
5 2119
 
5.3%
6 1997
 
5.0%
7 1877
 
4.7%
8 1730
 
4.3%
9 1693
 
4.2%

Most occurring scripts

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

Most frequent character per script

Latin
ValueCountFrequency (%)
M 6231
20.8%
L 5035
16.8%
H 2714
9.0%
U 2319
 
7.7%
D 2102
 
7.0%
C 1925
 
6.4%
G 1647
 
5.5%
F 1357
 
4.5%
S 1356
 
4.5%
N 1284
 
4.3%
Other values (13) 4030
13.4%
Common
ValueCountFrequency (%)
0 17922
44.8%
1 4932
 
12.3%
2 2933
 
7.3%
3 2515
 
6.3%
4 2282
 
5.7%
5 2119
 
5.3%
6 1997
 
5.0%
7 1877
 
4.7%
8 1730
 
4.3%
9 1693
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17922
25.6%
M 6231
 
8.9%
L 5035
 
7.2%
1 4932
 
7.0%
2 2933
 
4.2%
H 2714
 
3.9%
3 2515
 
3.6%
U 2319
 
3.3%
4 2282
 
3.3%
5 2119
 
3.0%
Other values (23) 20998
30.0%

입찰공고차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8223 
2
1612 
3
 
137
4
 
25
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 8223
82.2%
2 1612
 
16.1%
3 137
 
1.4%
4 25
 
0.2%
5 3
 
< 0.1%

Length

2024-04-06T17:02:14.443063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:14.700446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8223
82.2%
2 1612
 
16.1%
3 137
 
1.4%
4 25
 
0.2%
5 3
 
< 0.1%
Distinct9216
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:15.111744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters210000
Distinct characters34
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8459 ?
Unique (%)84.6%

Sample

1st row2016SFD00162016-01706
2nd row2017UAC00242017-18018
3rd row2017HDP00182017-05691
4th row2018LHN01042018-10553
5th row2016UMM01242016-02285
ValueCountFrequency (%)
2019lng00942019-06187 3
 
< 0.1%
2018lfn00142018-05836 3
 
< 0.1%
2019lhr00032019-01439 3
 
< 0.1%
2016lmk01292016-15384 3
 
< 0.1%
2017lqc00512017-19210 3
 
< 0.1%
2016lpf00302016-16078 3
 
< 0.1%
2017lcf00112017-00962 3
 
< 0.1%
2019lpq00192019-11482 3
 
< 0.1%
2019mdg00712019-09908 3
 
< 0.1%
2018lgk00782018-04180 3
 
< 0.1%
Other values (9206) 9970
99.7%
2024-04-06T17:02:15.714430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 47908
22.8%
1 33193
15.8%
2 27280
13.0%
9 12056
 
5.7%
8 10619
 
5.1%
7 10372
 
4.9%
6 10232
 
4.9%
- 10000
 
4.8%
3 6335
 
3.0%
M 6231
 
3.0%
Other values (24) 35774
17.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 170000
81.0%
Uppercase Letter 30000
 
14.3%
Dash Punctuation 10000
 
4.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 6231
20.8%
L 5035
16.8%
H 2714
9.0%
U 2319
 
7.7%
D 2102
 
7.0%
C 1925
 
6.4%
G 1647
 
5.5%
F 1357
 
4.5%
S 1356
 
4.5%
N 1284
 
4.3%
Other values (13) 4030
13.4%
Decimal Number
ValueCountFrequency (%)
0 47908
28.2%
1 33193
19.5%
2 27280
16.0%
9 12056
 
7.1%
8 10619
 
6.2%
7 10372
 
6.1%
6 10232
 
6.0%
3 6335
 
3.7%
4 6102
 
3.6%
5 5903
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180000
85.7%
Latin 30000
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 6231
20.8%
L 5035
16.8%
H 2714
9.0%
U 2319
 
7.7%
D 2102
 
7.0%
C 1925
 
6.4%
G 1647
 
5.5%
F 1357
 
4.5%
S 1356
 
4.5%
N 1284
 
4.3%
Other values (13) 4030
13.4%
Common
ValueCountFrequency (%)
0 47908
26.6%
1 33193
18.4%
2 27280
15.2%
9 12056
 
6.7%
8 10619
 
5.9%
7 10372
 
5.8%
6 10232
 
5.7%
- 10000
 
5.6%
3 6335
 
3.5%
4 6102
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 47908
22.8%
1 33193
15.8%
2 27280
13.0%
9 12056
 
5.7%
8 10619
 
5.1%
7 10372
 
4.9%
6 10232
 
4.9%
- 10000
 
4.8%
3 6335
 
3.0%
M 6231
 
3.0%
Other values (24) 35774
17.0%

참조공고차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8223 
2
1612 
3
 
137
4
 
25
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 8223
82.2%
2 1612
 
16.1%
3 137
 
1.4%
4 25
 
0.2%
5 3
 
< 0.1%

Length

2024-04-06T17:02:16.282621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:16.455972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8223
82.2%
2 1612
 
16.1%
3 137
 
1.4%
4 25
 
0.2%
5 3
 
< 0.1%

나라장터공고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9951 
False
 
49
ValueCountFrequency (%)
True 9951
99.5%
False 49
 
0.5%
2024-04-06T17:02:16.621666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct8408
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:17.084660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length19.1336
Min length6

Characters and Unicode

Total characters191336
Distinct characters555
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

Unique7218 ?
Unique (%)72.2%

Sample

1st row석면정비 및 유해작업장 개선 설계용역
2nd row00지역 온수보일러 및 온수탱크 교체공사
3rd row17대규모보수(노후시설개선공사)
4th row솔바람 아파트 샷시 발코니 보수
5th row00부대 통합시설 신축 시설공사(16-2002)
ValueCountFrequency (%)
00부대 2164
 
6.6%
설계용역 1052
 
3.2%
신축 701
 
2.2%
보수공사 674
 
2.1%
566
 
1.7%
전기공사 393
 
1.2%
개선공사 380
 
1.2%
362
 
1.1%
공사 359
 
1.1%
00지역 333
 
1.0%
Other values (8667) 25578
78.6%
2024-04-06T17:02:18.085068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22643
 
11.8%
0 10480
 
5.5%
- 9269
 
4.8%
1 8779
 
4.6%
8456
 
4.4%
7739
 
4.0%
5403
 
2.8%
4865
 
2.5%
) 4115
 
2.2%
( 4086
 
2.1%
Other values (545) 105501
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112903
59.0%
Decimal Number 34387
 
18.0%
Space Separator 22643
 
11.8%
Dash Punctuation 9269
 
4.8%
Close Punctuation 4273
 
2.2%
Open Punctuation 4245
 
2.2%
Uppercase Letter 3274
 
1.7%
Other Punctuation 217
 
0.1%
Lowercase Letter 51
 
< 0.1%
Final Punctuation 34
 
< 0.1%
Other values (5) 40
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8456
 
7.5%
7739
 
6.9%
5403
 
4.8%
4865
 
4.3%
3618
 
3.2%
3386
 
3.0%
3115
 
2.8%
2809
 
2.5%
2711
 
2.4%
2477
 
2.2%
Other values (481) 68324
60.5%
Uppercase Letter
ValueCountFrequency (%)
B 561
17.1%
O 540
16.5%
A 443
13.5%
C 374
11.4%
P 221
 
6.8%
D 163
 
5.0%
S 150
 
4.6%
G 148
 
4.5%
K 116
 
3.5%
E 106
 
3.2%
Other values (16) 452
13.8%
Decimal Number
ValueCountFrequency (%)
0 10480
30.5%
1 8779
25.5%
9 2347
 
6.8%
2 2262
 
6.6%
6 2138
 
6.2%
8 2017
 
5.9%
7 1956
 
5.7%
3 1925
 
5.6%
5 1250
 
3.6%
4 1233
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
m 15
29.4%
o 13
25.5%
c 10
19.6%
p 5
 
9.8%
l 4
 
7.8%
s 1
 
2.0%
i 1
 
2.0%
t 1
 
2.0%
e 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 104
47.9%
' 79
36.4%
. 25
 
11.5%
· 8
 
3.7%
* 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 4115
96.3%
] 158
 
3.7%
Open Punctuation
ValueCountFrequency (%)
( 4086
96.3%
[ 159
 
3.7%
Other Symbol
ValueCountFrequency (%)
18
81.8%
4
 
18.2%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
22643
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9269
100.0%
Final Punctuation
ValueCountFrequency (%)
34
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112903
59.0%
Common 75106
39.3%
Latin 3327
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8456
 
7.5%
7739
 
6.9%
5403
 
4.8%
4865
 
4.3%
3618
 
3.2%
3386
 
3.0%
3115
 
2.8%
2809
 
2.5%
2711
 
2.4%
2477
 
2.2%
Other values (481) 68324
60.5%
Latin
ValueCountFrequency (%)
B 561
16.9%
O 540
16.2%
A 443
13.3%
C 374
11.2%
P 221
 
6.6%
D 163
 
4.9%
S 150
 
4.5%
G 148
 
4.4%
K 116
 
3.5%
E 106
 
3.2%
Other values (26) 505
15.2%
Common
ValueCountFrequency (%)
22643
30.1%
0 10480
14.0%
- 9269
12.3%
1 8779
 
11.7%
) 4115
 
5.5%
( 4086
 
5.4%
9 2347
 
3.1%
2 2262
 
3.0%
6 2138
 
2.8%
8 2017
 
2.7%
Other values (18) 6970
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112846
59.0%
ASCII 78367
41.0%
Compat Jamo 57
 
< 0.1%
Punctuation 34
 
< 0.1%
Geometric Shapes 22
 
< 0.1%
None 8
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22643
28.9%
0 10480
13.4%
- 9269
11.8%
1 8779
 
11.2%
) 4115
 
5.3%
( 4086
 
5.2%
9 2347
 
3.0%
2 2262
 
2.9%
6 2138
 
2.7%
8 2017
 
2.6%
Other values (49) 10231
13.1%
Hangul
ValueCountFrequency (%)
8456
 
7.5%
7739
 
6.9%
5403
 
4.8%
4865
 
4.3%
3618
 
3.2%
3386
 
3.0%
3115
 
2.8%
2809
 
2.5%
2711
 
2.4%
2477
 
2.2%
Other values (478) 68267
60.5%
Compat Jamo
ValueCountFrequency (%)
55
96.5%
1
 
1.8%
1
 
1.8%
Punctuation
ValueCountFrequency (%)
34
100.0%
Geometric Shapes
ValueCountFrequency (%)
18
81.8%
4
 
18.2%
None
ValueCountFrequency (%)
· 8
100.0%
Number Forms
ValueCountFrequency (%)
2
100.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
긴급공고
6554 
정상공고
1671 
취소공고
1194 
정정공고
 
412
재공고
 
150

Length

Max length4
Median length4
Mean length3.985
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
긴급공고 6554
65.5%
정상공고 1671
 
16.7%
취소공고 1194
 
11.9%
정정공고 412
 
4.1%
재공고 150
 
1.5%
연기공고 19
 
0.2%

Length

2024-04-06T17:02:18.442583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:18.644919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
긴급공고 6554
65.5%
정상공고 1671
 
16.7%
취소공고 1194
 
11.9%
정정공고 412
 
4.1%
재공고 150
 
1.5%
연기공고 19
 
0.2%
Distinct998
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-07 00:00:00
Maximum2019-11-29 00:00:00
2024-04-06T17:02:18.935441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:19.287394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업무구분명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공사
7371 
용역
2629 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공사 7371
73.7%
용역 2629
 
26.3%

Length

2024-04-06T17:02:19.578085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:19.829662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공사 7371
73.7%
용역 2629
 
26.3%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
7730 
True
2270 
ValueCountFrequency (%)
False 7730
77.3%
True 2270
 
22.7%
2024-04-06T17:02:19.974895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
7730 
분담
1334 
공동[분담]
895 
공동
 
41

Length

Max length6
Median length4
Mean length3.904
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공동[분담]
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 7730
77.3%
분담 1334
 
13.3%
공동[분담] 895
 
8.9%
공동 41
 
0.4%

Length

2024-04-06T17:02:20.175698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:20.377798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7730
77.3%
분담 1334
 
13.3%
공동[분담 895
 
8.9%
공동 41
 
0.4%

전자입찰여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
9996 
False
 
4
ValueCountFrequency (%)
True 9996
> 99.9%
False 4
 
< 0.1%
2024-04-06T17:02:20.533184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

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

2024-04-06T17:02:20.785741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:20.952388image/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
8297 
일반경쟁
1653 
지명경쟁
 
49
복수경쟁
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
제한경쟁 8297
83.0%
일반경쟁 1653
 
16.5%
지명경쟁 49
 
0.5%
복수경쟁 1
 
< 0.1%

Length

2024-04-06T17:02:21.117766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:21.378641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제한경쟁 8297
83.0%
일반경쟁 1653
 
16.5%
지명경쟁 49
 
0.5%
복수경쟁 1
 
< 0.1%

낙찰자결정방법명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
적격심사제
9866 
최저가격제
 
134

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 9866
98.7%
최저가격제 134
 
1.3%

Length

2024-04-06T17:02:21.581595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:21.751044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적격심사제 9866
98.7%
최저가격제 134
 
1.3%
Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:22.333987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.3313
Min length4

Characters and Unicode

Total characters73313
Distinct characters106
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

Unique3 ?
Unique (%)< 0.1%

Sample

1st row제9227부대
2nd row국방출판지원단
3rd row공군제19전투비행단
4th row제2621부대
5th row국군재정관리단
ValueCountFrequency (%)
국군재정관리단 2098
 
19.9%
육군 404
 
3.8%
제7821부대 363
 
3.4%
제1군단 278
 
2.6%
제5군단사령부 224
 
2.1%
제6619부대 189
 
1.8%
해군군수사령부 174
 
1.6%
육군군수사령부 167
 
1.6%
제2307부대 161
 
1.5%
국군의무사령부 142
 
1.3%
Other values (152) 6358
60.2%
2024-04-06T17:02:23.148458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6270
 
8.6%
5815
 
7.9%
5364
 
7.3%
4721
 
6.4%
1 3541
 
4.8%
3526
 
4.8%
2585
 
3.5%
2571
 
3.5%
2347
 
3.2%
8 2116
 
2.9%
Other values (96) 34457
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56409
76.9%
Decimal Number 16346
 
22.3%
Space Separator 558
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6270
 
11.1%
5815
 
10.3%
5364
 
9.5%
4721
 
8.4%
3526
 
6.3%
2585
 
4.6%
2571
 
4.6%
2347
 
4.2%
2112
 
3.7%
2109
 
3.7%
Other values (85) 18989
33.7%
Decimal Number
ValueCountFrequency (%)
1 3541
21.7%
8 2116
12.9%
2 1976
12.1%
9 1766
10.8%
7 1765
10.8%
6 1750
10.7%
5 1412
 
8.6%
3 1134
 
6.9%
0 876
 
5.4%
4 10
 
0.1%
Space Separator
ValueCountFrequency (%)
558
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56409
76.9%
Common 16904
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6270
 
11.1%
5815
 
10.3%
5364
 
9.5%
4721
 
8.4%
3526
 
6.3%
2585
 
4.6%
2571
 
4.6%
2347
 
4.2%
2112
 
3.7%
2109
 
3.7%
Other values (85) 18989
33.7%
Common
ValueCountFrequency (%)
1 3541
20.9%
8 2116
12.5%
2 1976
11.7%
9 1766
10.4%
7 1765
10.4%
6 1750
10.4%
5 1412
 
8.4%
3 1134
 
6.7%
0 876
 
5.2%
558
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56409
76.9%
ASCII 16904
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6270
 
11.1%
5815
 
10.3%
5364
 
9.5%
4721
 
8.4%
3526
 
6.3%
2585
 
4.6%
2571
 
4.6%
2347
 
4.2%
2112
 
3.7%
2109
 
3.7%
Other values (85) 18989
33.7%
ASCII
ValueCountFrequency (%)
1 3541
20.9%
8 2116
12.5%
2 1976
11.7%
9 1766
10.4%
7 1765
10.4%
6 1750
10.4%
5 1412
 
8.4%
3 1134
 
6.7%
0 876
 
5.2%
558
 
3.3%
Distinct156
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:23.648294image/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

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowZD00150
2nd rowZD00908
3rd rowZD00189
4th rowZD00394
5th rowZD00303
ValueCountFrequency (%)
zd00303 2098
 
21.0%
zd00279 384
 
3.8%
zd00275 278
 
2.8%
zd00009 224
 
2.2%
1290300 189
 
1.9%
zd00289 174
 
1.7%
1290307 167
 
1.7%
zd00001 161
 
1.6%
1290291 142
 
1.4%
zd00049 127
 
1.3%
Other values (146) 6056
60.6%
2024-04-06T17:02:24.368056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25253
36.1%
Z 8692
 
12.4%
D 8674
 
12.4%
3 6482
 
9.3%
1 4826
 
6.9%
2 4374
 
6.2%
9 3718
 
5.3%
7 2090
 
3.0%
8 1584
 
2.3%
4 1551
 
2.2%
Other values (2) 2756
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52634
75.2%
Uppercase Letter 17366
 
24.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25253
48.0%
3 6482
 
12.3%
1 4826
 
9.2%
2 4374
 
8.3%
9 3718
 
7.1%
7 2090
 
4.0%
8 1584
 
3.0%
4 1551
 
2.9%
5 1548
 
2.9%
6 1208
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
Z 8692
50.1%
D 8674
49.9%

Most occurring scripts

ValueCountFrequency (%)
Common 52634
75.2%
Latin 17366
 
24.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25253
48.0%
3 6482
 
12.3%
1 4826
 
9.2%
2 4374
 
8.3%
9 3718
 
7.1%
7 2090
 
4.0%
8 1584
 
3.0%
4 1551
 
2.9%
5 1548
 
2.9%
6 1208
 
2.3%
Latin
ValueCountFrequency (%)
Z 8692
50.1%
D 8674
49.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25253
36.1%
Z 8692
 
12.4%
D 8674
 
12.4%
3 6482
 
9.3%
1 4826
 
6.9%
2 4374
 
6.2%
9 3718
 
5.3%
7 2090
 
3.0%
8 1584
 
2.3%
4 1551
 
2.2%
Other values (2) 2756
 
3.9%
Distinct159
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:24.872044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.3756
Min length4

Characters and Unicode

Total characters73756
Distinct characters106
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

Unique3 ?
Unique (%)< 0.1%

Sample

1st row제9227부대
2nd row국방출판지원단
3rd row공군제19전투비행단
4th row제2621부대
5th row국군재정관리단
ValueCountFrequency (%)
국군재정관리단 2098
 
19.7%
육군 404
 
3.8%
제7821부대 363
 
3.4%
제1군단 278
 
2.6%
제5군단사령부 224
 
2.1%
제2작전사령부 189
 
1.8%
해군군수사령부 174
 
1.6%
육군군수사령부 167
 
1.6%
제2307부대 161
 
1.5%
국군의무사령부 142
 
1.3%
Other values (154) 6439
60.5%
2024-04-06T17:02:25.756133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6256
 
8.5%
5815
 
7.9%
5315
 
7.2%
4846
 
6.6%
3400
 
4.6%
1 3352
 
4.5%
2791
 
3.8%
2661
 
3.6%
2347
 
3.2%
2 2165
 
2.9%
Other values (96) 34808
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57161
77.5%
Decimal Number 15884
 
21.5%
Space Separator 711
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6256
 
10.9%
5815
 
10.2%
5315
 
9.3%
4846
 
8.5%
3400
 
5.9%
2791
 
4.9%
2661
 
4.7%
2347
 
4.1%
2112
 
3.7%
2109
 
3.7%
Other values (85) 19509
34.1%
Decimal Number
ValueCountFrequency (%)
1 3352
21.1%
2 2165
13.6%
8 2116
13.3%
7 1800
11.3%
9 1577
9.9%
5 1447
9.1%
6 1407
8.9%
3 1134
 
7.1%
0 876
 
5.5%
4 10
 
0.1%
Space Separator
ValueCountFrequency (%)
711
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57161
77.5%
Common 16595
 
22.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6256
 
10.9%
5815
 
10.2%
5315
 
9.3%
4846
 
8.5%
3400
 
5.9%
2791
 
4.9%
2661
 
4.7%
2347
 
4.1%
2112
 
3.7%
2109
 
3.7%
Other values (85) 19509
34.1%
Common
ValueCountFrequency (%)
1 3352
20.2%
2 2165
13.0%
8 2116
12.8%
7 1800
10.8%
9 1577
9.5%
5 1447
8.7%
6 1407
8.5%
3 1134
 
6.8%
0 876
 
5.3%
711
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57161
77.5%
ASCII 16595
 
22.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6256
 
10.9%
5815
 
10.2%
5315
 
9.3%
4846
 
8.5%
3400
 
5.9%
2791
 
4.9%
2661
 
4.7%
2347
 
4.1%
2112
 
3.7%
2109
 
3.7%
Other values (85) 19509
34.1%
ASCII
ValueCountFrequency (%)
1 3352
20.2%
2 2165
13.0%
8 2116
12.8%
7 1800
10.8%
9 1577
9.5%
5 1447
8.7%
6 1407
8.5%
3 1134
 
6.8%
0 876
 
5.3%
711
 
4.3%
Distinct453
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:26.561278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9898
Min length2

Characters and Unicode

Total characters29898
Distinct characters171
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.4%

Sample

1st row신철호
2nd row송희진
3rd row이성원
4th row서동근
5th row임상달
ValueCountFrequency (%)
임상달 603
 
6.0%
정우석 397
 
4.0%
황규진 287
 
2.9%
송태복 277
 
2.8%
문석민 270
 
2.7%
김성룡 228
 
2.3%
정성기 187
 
1.9%
최갑주 119
 
1.2%
홍종관 116
 
1.2%
윤성진 112
 
1.1%
Other values (443) 7404
74.0%
2024-04-06T17:02:27.671525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1503
 
5.0%
1419
 
4.7%
970
 
3.2%
932
 
3.1%
923
 
3.1%
896
 
3.0%
892
 
3.0%
764
 
2.6%
707
 
2.4%
625
 
2.1%
Other values (161) 20267
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29898
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1503
 
5.0%
1419
 
4.7%
970
 
3.2%
932
 
3.1%
923
 
3.1%
896
 
3.0%
892
 
3.0%
764
 
2.6%
707
 
2.4%
625
 
2.1%
Other values (161) 20267
67.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29898
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1503
 
5.0%
1419
 
4.7%
970
 
3.2%
932
 
3.1%
923
 
3.1%
896
 
3.0%
892
 
3.0%
764
 
2.6%
707
 
2.4%
625
 
2.1%
Other values (161) 20267
67.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29898
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1503
 
5.0%
1419
 
4.7%
970
 
3.2%
932
 
3.1%
923
 
3.1%
896
 
3.0%
892
 
3.0%
764
 
2.6%
707
 
2.4%
625
 
2.1%
Other values (161) 20267
67.8%
Distinct158
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:28.226873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.3313
Min length4

Characters and Unicode

Total characters73313
Distinct characters106
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

Unique3 ?
Unique (%)< 0.1%

Sample

1st row제9227부대
2nd row국방출판지원단
3rd row공군제19전투비행단
4th row제2621부대
5th row국군재정관리단
ValueCountFrequency (%)
국군재정관리단 2098
 
19.9%
육군 404
 
3.8%
제7821부대 363
 
3.4%
제1군단 278
 
2.6%
제5군단사령부 224
 
2.1%
제6619부대 189
 
1.8%
해군군수사령부 174
 
1.6%
육군군수사령부 167
 
1.6%
제2307부대 161
 
1.5%
국군의무사령부 142
 
1.3%
Other values (152) 6358
60.2%
2024-04-06T17:02:29.092257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6270
 
8.6%
5815
 
7.9%
5364
 
7.3%
4721
 
6.4%
1 3541
 
4.8%
3526
 
4.8%
2585
 
3.5%
2571
 
3.5%
2347
 
3.2%
8 2116
 
2.9%
Other values (96) 34457
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56409
76.9%
Decimal Number 16346
 
22.3%
Space Separator 558
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6270
 
11.1%
5815
 
10.3%
5364
 
9.5%
4721
 
8.4%
3526
 
6.3%
2585
 
4.6%
2571
 
4.6%
2347
 
4.2%
2112
 
3.7%
2109
 
3.7%
Other values (85) 18989
33.7%
Decimal Number
ValueCountFrequency (%)
1 3541
21.7%
8 2116
12.9%
2 1976
12.1%
9 1766
10.8%
7 1765
10.8%
6 1750
10.7%
5 1412
 
8.6%
3 1134
 
6.9%
0 876
 
5.4%
4 10
 
0.1%
Space Separator
ValueCountFrequency (%)
558
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56409
76.9%
Common 16904
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6270
 
11.1%
5815
 
10.3%
5364
 
9.5%
4721
 
8.4%
3526
 
6.3%
2585
 
4.6%
2571
 
4.6%
2347
 
4.2%
2112
 
3.7%
2109
 
3.7%
Other values (85) 18989
33.7%
Common
ValueCountFrequency (%)
1 3541
20.9%
8 2116
12.5%
2 1976
11.7%
9 1766
10.4%
7 1765
10.4%
6 1750
10.4%
5 1412
 
8.4%
3 1134
 
6.7%
0 876
 
5.2%
558
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56409
76.9%
ASCII 16904
 
23.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6270
 
11.1%
5815
 
10.3%
5364
 
9.5%
4721
 
8.4%
3526
 
6.3%
2585
 
4.6%
2571
 
4.6%
2347
 
4.2%
2112
 
3.7%
2109
 
3.7%
Other values (85) 18989
33.7%
ASCII
ValueCountFrequency (%)
1 3541
20.9%
8 2116
12.5%
2 1976
11.7%
9 1766
10.4%
7 1765
10.4%
6 1750
10.4%
5 1412
 
8.4%
3 1134
 
6.7%
0 876
 
5.2%
558
 
3.3%
Distinct156
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:29.674089image/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

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowZD00150
2nd rowZD00908
3rd rowZD00189
4th rowZD00394
5th rowZD00303
ValueCountFrequency (%)
zd00303 2098
 
21.0%
zd00279 384
 
3.8%
zd00275 278
 
2.8%
zd00009 224
 
2.2%
1290300 189
 
1.9%
zd00289 174
 
1.7%
1290307 167
 
1.7%
zd00001 161
 
1.6%
1290291 142
 
1.4%
zd00049 127
 
1.3%
Other values (146) 6056
60.6%
2024-04-06T17:02:30.510472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25253
36.1%
Z 8692
 
12.4%
D 8674
 
12.4%
3 6482
 
9.3%
1 4826
 
6.9%
2 4374
 
6.2%
9 3718
 
5.3%
7 2090
 
3.0%
8 1584
 
2.3%
4 1551
 
2.2%
Other values (2) 2756
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52634
75.2%
Uppercase Letter 17366
 
24.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25253
48.0%
3 6482
 
12.3%
1 4826
 
9.2%
2 4374
 
8.3%
9 3718
 
7.1%
7 2090
 
4.0%
8 1584
 
3.0%
4 1551
 
2.9%
5 1548
 
2.9%
6 1208
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
Z 8692
50.1%
D 8674
49.9%

Most occurring scripts

ValueCountFrequency (%)
Common 52634
75.2%
Latin 17366
 
24.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25253
48.0%
3 6482
 
12.3%
1 4826
 
9.2%
2 4374
 
8.3%
9 3718
 
7.1%
7 2090
 
4.0%
8 1584
 
3.0%
4 1551
 
2.9%
5 1548
 
2.9%
6 1208
 
2.3%
Latin
ValueCountFrequency (%)
Z 8692
50.1%
D 8674
49.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25253
36.1%
Z 8692
 
12.4%
D 8674
 
12.4%
3 6482
 
9.3%
1 4826
 
6.9%
2 4374
 
6.2%
9 3718
 
5.3%
7 2090
 
3.0%
8 1584
 
2.3%
4 1551
 
2.2%
Other values (2) 2756
 
3.9%
Distinct159
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:31.152009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length7
Mean length7.3756
Min length4

Characters and Unicode

Total characters73756
Distinct characters106
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

Unique3 ?
Unique (%)< 0.1%

Sample

1st row제9227부대
2nd row국방출판지원단
3rd row공군제19전투비행단
4th row제2621부대
5th row국군재정관리단
ValueCountFrequency (%)
국군재정관리단 2098
 
19.7%
육군 404
 
3.8%
제7821부대 363
 
3.4%
제1군단 278
 
2.6%
제5군단사령부 224
 
2.1%
제2작전사령부 189
 
1.8%
해군군수사령부 174
 
1.6%
육군군수사령부 167
 
1.6%
제2307부대 161
 
1.5%
국군의무사령부 142
 
1.3%
Other values (154) 6439
60.5%
2024-04-06T17:02:31.977176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6256
 
8.5%
5815
 
7.9%
5315
 
7.2%
4846
 
6.6%
3400
 
4.6%
1 3352
 
4.5%
2791
 
3.8%
2661
 
3.6%
2347
 
3.2%
2 2165
 
2.9%
Other values (96) 34808
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57161
77.5%
Decimal Number 15884
 
21.5%
Space Separator 711
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6256
 
10.9%
5815
 
10.2%
5315
 
9.3%
4846
 
8.5%
3400
 
5.9%
2791
 
4.9%
2661
 
4.7%
2347
 
4.1%
2112
 
3.7%
2109
 
3.7%
Other values (85) 19509
34.1%
Decimal Number
ValueCountFrequency (%)
1 3352
21.1%
2 2165
13.6%
8 2116
13.3%
7 1800
11.3%
9 1577
9.9%
5 1447
9.1%
6 1407
8.9%
3 1134
 
7.1%
0 876
 
5.5%
4 10
 
0.1%
Space Separator
ValueCountFrequency (%)
711
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57161
77.5%
Common 16595
 
22.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6256
 
10.9%
5815
 
10.2%
5315
 
9.3%
4846
 
8.5%
3400
 
5.9%
2791
 
4.9%
2661
 
4.7%
2347
 
4.1%
2112
 
3.7%
2109
 
3.7%
Other values (85) 19509
34.1%
Common
ValueCountFrequency (%)
1 3352
20.2%
2 2165
13.0%
8 2116
12.8%
7 1800
10.8%
9 1577
9.5%
5 1447
8.7%
6 1407
8.5%
3 1134
 
6.8%
0 876
 
5.3%
711
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57161
77.5%
ASCII 16595
 
22.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6256
 
10.9%
5815
 
10.2%
5315
 
9.3%
4846
 
8.5%
3400
 
5.9%
2791
 
4.9%
2661
 
4.7%
2347
 
4.1%
2112
 
3.7%
2109
 
3.7%
Other values (85) 19509
34.1%
ASCII
ValueCountFrequency (%)
1 3352
20.2%
2 2165
13.0%
8 2116
12.8%
7 1800
10.8%
9 1577
9.5%
5 1447
8.7%
6 1407
8.5%
3 1134
 
6.8%
0 876
 
5.3%
711
 
4.3%
Distinct453
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:02:32.727422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9898
Min length2

Characters and Unicode

Total characters29898
Distinct characters171
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.4%

Sample

1st row신철호
2nd row송희진
3rd row이성원
4th row서동근
5th row임상달
ValueCountFrequency (%)
임상달 603
 
6.0%
정우석 397
 
4.0%
황규진 287
 
2.9%
송태복 277
 
2.8%
문석민 270
 
2.7%
김성룡 228
 
2.3%
정성기 187
 
1.9%
최갑주 119
 
1.2%
홍종관 116
 
1.2%
윤성진 112
 
1.1%
Other values (443) 7404
74.0%
2024-04-06T17:02:33.788087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1503
 
5.0%
1419
 
4.7%
970
 
3.2%
932
 
3.1%
923
 
3.1%
896
 
3.0%
892
 
3.0%
764
 
2.6%
707
 
2.4%
625
 
2.1%
Other values (161) 20267
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29898
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1503
 
5.0%
1419
 
4.7%
970
 
3.2%
932
 
3.1%
923
 
3.1%
896
 
3.0%
892
 
3.0%
764
 
2.6%
707
 
2.4%
625
 
2.1%
Other values (161) 20267
67.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29898
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1503
 
5.0%
1419
 
4.7%
970
 
3.2%
932
 
3.1%
923
 
3.1%
896
 
3.0%
892
 
3.0%
764
 
2.6%
707
 
2.4%
625
 
2.1%
Other values (161) 20267
67.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29898
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1503
 
5.0%
1419
 
4.7%
970
 
3.2%
932
 
3.1%
923
 
3.1%
896
 
3.0%
892
 
3.0%
764
 
2.6%
707
 
2.4%
625
 
2.1%
Other values (161) 20267
67.8%

설명회실시여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9882 
True
 
118
ValueCountFrequency (%)
False 9882
98.8%
True 118
 
1.2%
2024-04-06T17:02:34.044334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

설명회실시일자
Date

MISSING 

Distinct48
Distinct (%)50.0%
Missing9904
Missing (%)99.0%
Memory size156.2 KiB
Minimum2016-01-18 00:00:00
Maximum2019-04-15 00:00:00
2024-04-06T17:02:34.312378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:34.774518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

설명회실시시각
Date

MISSING 

Distinct8
Distinct (%)8.3%
Missing9904
Missing (%)99.0%
Memory size156.2 KiB
Minimum2024-04-06 10:00:00
Maximum2024-04-06 14:30:00
2024-04-06T17:02:34.997466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:35.213197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

설명회실시장소
Categorical

IMBALANCE 

Distinct48
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9882 
재정단 민원동 3층
 
17
미실시
 
12
민원동 입찰실(3층)
 
11
재정관리단 입찰실
 
10
Other values (43)
 
68

Length

Max length12
Median length4
Mean length4.0543
Min length2

Unique

Unique31 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9882
98.8%
재정단 민원동 3층 17
 
0.2%
미실시 12
 
0.1%
민원동 입찰실(3층) 11
 
0.1%
재정관리단 입찰실 10
 
0.1%
국군재정관리단입찰실 7
 
0.1%
공고문 참조 6
 
0.1%
강원도 홍천군 홍천읍 4
 
< 0.1%
계룡대개나리회관3층 3
 
< 0.1%
충청북도 증평군 일대 3
 
< 0.1%
Other values (38) 45
 
0.4%

Length

2024-04-06T17:02:35.514244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9882
97.7%
민원동 33
 
0.3%
3층 19
 
0.2%
재정단 18
 
0.2%
입찰실 14
 
0.1%
미실시 12
 
0.1%
재정관리단 12
 
0.1%
입찰실(3층 11
 
0.1%
강원도 8
 
0.1%
국군재정관리단입찰실 7
 
0.1%
Other values (58) 97
 
1.0%
Distinct903
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-12 00:00:00
Maximum2019-12-17 00:00:00
2024-04-06T17:02:35.802473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:36.225868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-04-06 10:00:00
Maximum2024-04-06 21:00:00
2024-04-06T17:02:36.480464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:36.896734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
Distinct916
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-13 00:00:00
Maximum2019-12-18 00:00:00
2024-04-06T17:02:37.546054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:37.794882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-04-06 10:00:00
Maximum2024-04-06 17:00:00
2024-04-06T17:02:38.008480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:38.213356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
Distinct918
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2016-01-13 00:00:00
Maximum2201-12-14 00:00:00
2024-04-06T17:02:38.524140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:38.803995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct36
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-04-06 09:30:00
Maximum2024-04-06 17:00:00
2024-04-06T17:02:39.135123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:02:39.487611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

개찰장소
Categorical

CONSTANT 

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

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국방전자조달 시스템
2nd row국방전자조달 시스템
3rd row국방전자조달 시스템
4th row국방전자조달 시스템
5th row국방전자조달 시스템

Common Values

ValueCountFrequency (%)
국방전자조달 시스템 10000
100.0%

Length

2024-04-06T17:02:39.780969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:39.968269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국방전자조달 10000
50.0%
시스템 10000
50.0%

예산금액
Real number (ℝ)

MISSING  SKEWED 

Distinct7987
Distinct (%)83.8%
Missing472
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean5.8631532 × 108
Minimum106
Maximum1.44 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:02:40.274369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile29232486
Q196148120
median1.7424365 × 108
Q33.6722675 × 108
95-th percentile1.7029548 × 109
Maximum1.44 × 1011
Range1.44 × 1011
Interquartile range (IQR)2.7107863 × 108

Descriptive statistics

Standard deviation3.2235509 × 109
Coefficient of variation (CV)5.4979817
Kurtosis814.2556
Mean5.8631532 × 108
Median Absolute Deviation (MAD)1.0512283 × 108
Skewness25.103429
Sum5.5864123 × 1012
Variance1.039128 × 1019
MonotonicityNot monotonic
2024-04-06T17:02:40.602285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150000000 11
 
0.1%
200000000 9
 
0.1%
192261160 9
 
0.1%
180000000 8
 
0.1%
120000000 8
 
0.1%
299000000 7
 
0.1%
123568000 7
 
0.1%
170000000 7
 
0.1%
119757150 6
 
0.1%
129000000 6
 
0.1%
Other values (7977) 9450
94.5%
(Missing) 472
 
4.7%
ValueCountFrequency (%)
106 1
< 0.1%
117800 1
< 0.1%
242000 1
< 0.1%
1060000 2
< 0.1%
1073000 2
< 0.1%
1621909 1
< 0.1%
1900000 1
< 0.1%
2982000 1
< 0.1%
3023910 1
< 0.1%
4203000 2
< 0.1%
ValueCountFrequency (%)
144000000000 1
< 0.1%
108000000000 1
< 0.1%
94464000000 1
< 0.1%
86095110000 1
< 0.1%
86095109000 1
< 0.1%
72658753590 1
< 0.1%
70817170000 2
< 0.1%
49532304000 2
< 0.1%
47299522923 1
< 0.1%
32965616000 1
< 0.1%

배정예산금액(설계금액)
Real number (ℝ)

SKEWED 

Distinct8132
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7737052 × 109
Minimum10
Maximum2.05 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:02:40.901026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile29999850
Q11.0041419 × 108
median1.988985 × 108
Q34.5496313 × 108
95-th percentile3.2772899 × 109
Maximum2.05 × 1012
Range2.05 × 1012
Interquartile range (IQR)3.5454894 × 108

Descriptive statistics

Standard deviation2.7944911 × 1010
Coefficient of variation (CV)15.755105
Kurtosis3390.0251
Mean1.7737052 × 109
Median Absolute Deviation (MAD)1.28327 × 108
Skewness53.196207
Sum1.7737052 × 1013
Variance7.8091805 × 1020
MonotonicityNot monotonic
2024-04-06T17:02:41.224892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130000000 22
 
0.2%
150000000 22
 
0.2%
120000000 19
 
0.2%
100000000 12
 
0.1%
200000000 12
 
0.1%
60000000 10
 
0.1%
198029000 10
 
0.1%
180000000 10
 
0.1%
110000000 9
 
0.1%
190000000 9
 
0.1%
Other values (8122) 9865
98.7%
ValueCountFrequency (%)
10 1
< 0.1%
1000 1
< 0.1%
1061000 2
< 0.1%
1073000 2
< 0.1%
1655010 1
< 0.1%
1943000 1
< 0.1%
2982000 1
< 0.1%
3023910 1
< 0.1%
4169000 1
< 0.1%
4203000 2
< 0.1%
ValueCountFrequency (%)
2050000000000 1
< 0.1%
1190000000000 1
< 0.1%
979000000000 1
< 0.1%
545000000000 1
< 0.1%
475000000000 1
< 0.1%
358000000000 1
< 0.1%
288000000000 1
< 0.1%
256000000000 1
< 0.1%
242000000000 1
< 0.1%
160000000000 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
8008 
False
1992 
ValueCountFrequency (%)
True 8008
80.1%
False 1992
 
19.9%
2024-04-06T17:02:41.465213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

참여가능지역명
Text

MISSING 

Distinct70
Distinct (%)0.9%
Missing1987
Missing (%)19.9%
Memory size156.2 KiB
2024-04-06T17:02:41.777643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length3
Mean length3.9774117
Min length3

Characters and Unicode

Total characters31871
Distinct characters35
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

Unique16 ?
Unique (%)0.2%

Sample

1st row경상북도
2nd row충청남도
3rd row충청북도
4th row강원도
5th row강원도
ValueCountFrequency (%)
경기도 2657
33.2%
강원도 1546
19.3%
경상남도 516
 
6.4%
충청북도 441
 
5.5%
경상북도 418
 
5.2%
인천광역시 362
 
4.5%
충청남도 339
 
4.2%
전라남도 285
 
3.6%
서울특별시 242
 
3.0%
대구광역시 192
 
2.4%
Other values (60) 1017
 
12.7%
2024-04-06T17:02:42.473266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6904
21.7%
3917
12.3%
2918
 
9.2%
1616
 
5.1%
1616
 
5.1%
1577
 
4.9%
1230
 
3.9%
1215
 
3.8%
1107
 
3.5%
1068
 
3.4%
Other values (25) 8703
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31403
98.5%
Other Punctuation 466
 
1.5%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6904
22.0%
3917
12.5%
2918
 
9.3%
1616
 
5.1%
1616
 
5.1%
1577
 
5.0%
1230
 
3.9%
1215
 
3.9%
1107
 
3.5%
1068
 
3.4%
Other values (23) 8235
26.2%
Other Punctuation
ValueCountFrequency (%)
/ 466
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31403
98.5%
Common 468
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6904
22.0%
3917
12.5%
2918
 
9.3%
1616
 
5.1%
1616
 
5.1%
1577
 
5.0%
1230
 
3.9%
1215
 
3.9%
1107
 
3.5%
1068
 
3.4%
Other values (23) 8235
26.2%
Common
ValueCountFrequency (%)
/ 466
99.6%
2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31403
98.5%
ASCII 468
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6904
22.0%
3917
12.5%
2918
 
9.3%
1616
 
5.1%
1616
 
5.1%
1577
 
5.0%
1230
 
3.9%
1215
 
3.9%
1107
 
3.5%
1068
 
3.4%
Other values (23) 8235
26.2%
ASCII
ValueCountFrequency (%)
/ 466
99.6%
2
 
0.4%
Distinct238
Distinct (%)2.4%
Missing101
Missing (%)1.0%
Memory size156.2 KiB
2024-04-06T17:02:42.915685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length65
Mean length8.5162138
Min length4

Characters and Unicode

Total characters84302
Distinct characters198
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)0.8%

Sample

1st row건축사사무소
2nd row기계설비공사업
3rd row시설물유지관리업
4th row시설물유지관리업
5th row건축공사업
ValueCountFrequency (%)
건축사사무소 1281
 
12.0%
시설물유지관리업 1112
 
10.4%
전기공사업 1050
 
9.8%
건축공사업 894
 
8.4%
정보통신공사업 533
 
5.0%
토목공사업 492
 
4.6%
기계설비공사업 451
 
4.2%
폐기물종합처분업 342
 
3.2%
건설폐기물 323
 
3.0%
중간처리업 297
 
2.8%
Other values (253) 3898
36.5%
2024-04-06T17:02:43.852464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9152
 
10.9%
9121
 
10.8%
5818
 
6.9%
3405
 
4.0%
3205
 
3.8%
3050
 
3.6%
2844
 
3.4%
2485
 
2.9%
2271
 
2.7%
1935
 
2.3%
Other values (188) 41016
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78365
93.0%
Other Punctuation 2247
 
2.7%
Open Punctuation 1379
 
1.6%
Close Punctuation 1378
 
1.6%
Space Separator 776
 
0.9%
Dash Punctuation 80
 
0.1%
Decimal Number 77
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9152
 
11.7%
9121
 
11.6%
5818
 
7.4%
3405
 
4.3%
3205
 
4.1%
3050
 
3.9%
2844
 
3.6%
2485
 
3.2%
2271
 
2.9%
1935
 
2.5%
Other values (175) 35079
44.8%
Other Punctuation
ValueCountFrequency (%)
. 711
31.6%
/ 680
30.3%
· 441
19.6%
, 356
15.8%
: 59
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 74
96.1%
6 1
 
1.3%
4 1
 
1.3%
2 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 1379
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1378
100.0%
Space Separator
ValueCountFrequency (%)
776
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78365
93.0%
Common 5937
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9152
 
11.7%
9121
 
11.6%
5818
 
7.4%
3405
 
4.3%
3205
 
4.1%
3050
 
3.9%
2844
 
3.6%
2485
 
3.2%
2271
 
2.9%
1935
 
2.5%
Other values (175) 35079
44.8%
Common
ValueCountFrequency (%)
( 1379
23.2%
) 1378
23.2%
776
13.1%
. 711
12.0%
/ 680
11.5%
· 441
 
7.4%
, 356
 
6.0%
- 80
 
1.3%
1 74
 
1.2%
: 59
 
1.0%
Other values (3) 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78365
93.0%
ASCII 5496
 
6.5%
None 441
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9152
 
11.7%
9121
 
11.6%
5818
 
7.4%
3405
 
4.3%
3205
 
4.1%
3050
 
3.9%
2844
 
3.6%
2485
 
3.2%
2271
 
2.9%
1935
 
2.5%
Other values (175) 35079
44.8%
ASCII
ValueCountFrequency (%)
( 1379
25.1%
) 1378
25.1%
776
14.1%
. 711
12.9%
/ 680
12.4%
, 356
 
6.5%
- 80
 
1.5%
1 74
 
1.3%
: 59
 
1.1%
6 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
None
ValueCountFrequency (%)
· 441
100.0%
Distinct192
Distinct (%)4.9%
Missing6112
Missing (%)61.1%
Memory size156.2 KiB
2024-04-06T17:02:44.281555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length53
Mean length12.123971
Min length5

Characters and Unicode

Total characters47138
Distinct characters168
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)1.9%

Sample

1st row석면조사기관
2nd row난방시공업제1종
3rd row토목건축공사업
4th row토목건축공사업
5th row폐기물종합처분업
ValueCountFrequency (%)
토목건축공사업 1521
34.4%
건설폐기물 325
 
7.3%
중간처리업 300
 
6.8%
폐기물종합처분업 285
 
6.4%
일반소방시설공사업(기계)/일반소방시설공사업(전기 167
 
3.8%
건설엔지니어링업(설계,사업관리-일반 110
 
2.5%
기술사사무소(토질,지질 101
 
2.3%
환경전문공사업(수질분야 85
 
1.9%
토목공사업/건축공사업 84
 
1.9%
개인하수처리시설설계.시공업(구:오수처리시설설계.시공업 84
 
1.9%
Other values (201) 1363
30.8%
2024-04-06T17:02:45.209169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4088
 
8.7%
3882
 
8.2%
2719
 
5.8%
2383
 
5.1%
2197
 
4.7%
2007
 
4.3%
1832
 
3.9%
) 1803
 
3.8%
( 1803
 
3.8%
1702
 
3.6%
Other values (158) 22722
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41297
87.6%
Close Punctuation 1803
 
3.8%
Open Punctuation 1803
 
3.8%
Other Punctuation 1443
 
3.1%
Space Separator 537
 
1.1%
Dash Punctuation 162
 
0.3%
Decimal Number 93
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4088
 
9.9%
3882
 
9.4%
2719
 
6.6%
2383
 
5.8%
2197
 
5.3%
2007
 
4.9%
1832
 
4.4%
1702
 
4.1%
1600
 
3.9%
1025
 
2.5%
Other values (147) 17862
43.3%
Other Punctuation
ValueCountFrequency (%)
/ 673
46.6%
, 458
31.7%
. 175
 
12.1%
: 87
 
6.0%
· 50
 
3.5%
Decimal Number
ValueCountFrequency (%)
1 74
79.6%
2 19
 
20.4%
Close Punctuation
ValueCountFrequency (%)
) 1803
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1803
100.0%
Space Separator
ValueCountFrequency (%)
537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41297
87.6%
Common 5841
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4088
 
9.9%
3882
 
9.4%
2719
 
6.6%
2383
 
5.8%
2197
 
5.3%
2007
 
4.9%
1832
 
4.4%
1702
 
4.1%
1600
 
3.9%
1025
 
2.5%
Other values (147) 17862
43.3%
Common
ValueCountFrequency (%)
) 1803
30.9%
( 1803
30.9%
/ 673
 
11.5%
537
 
9.2%
, 458
 
7.8%
. 175
 
3.0%
- 162
 
2.8%
: 87
 
1.5%
1 74
 
1.3%
· 50
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41291
87.6%
ASCII 5791
 
12.3%
None 50
 
0.1%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4088
 
9.9%
3882
 
9.4%
2719
 
6.6%
2383
 
5.8%
2197
 
5.3%
2007
 
4.9%
1832
 
4.4%
1702
 
4.1%
1600
 
3.9%
1025
 
2.5%
Other values (146) 17856
43.2%
ASCII
ValueCountFrequency (%)
) 1803
31.1%
( 1803
31.1%
/ 673
 
11.6%
537
 
9.3%
, 458
 
7.9%
. 175
 
3.0%
- 162
 
2.8%
: 87
 
1.5%
1 74
 
1.3%
2 19
 
0.3%
None
ValueCountFrequency (%)
· 50
100.0%
Compat Jamo
ValueCountFrequency (%)
6
100.0%
Distinct92
Distinct (%)13.4%
Missing9313
Missing (%)93.1%
Memory size156.2 KiB
2024-04-06T17:02:45.703772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45
Mean length17.733624
Min length5

Characters and Unicode

Total characters12183
Distinct characters133
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)4.8%

Sample

1st row엔지니어링사업(설비)
2nd row기술사사무소(측량,지적)
3rd row환경전문공사업(수질분야)
4th row난방시공업제2종
5th row환경전문공사업(수질분야)
ValueCountFrequency (%)
건설엔지니어링업(설계,사업관리-건설사업관리 113
 
13.5%
환경전문공사업(수질분야 84
 
10.0%
건설폐기물 55
 
6.5%
건설엔지니어링업(설계,사업관리-일반 44
 
5.2%
지질 42
 
5.0%
엔지니어링사업(상하수도)/엔지니어링사업(토질 39
 
4.6%
수집·운반업 37
 
4.4%
폐기물종합처분업 33
 
3.9%
폐기물최종처분업(지정폐기물 24
 
2.9%
폐기물 20
 
2.4%
Other values (97) 349
41.5%
2024-04-06T17:02:46.500800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1043
 
8.6%
765
 
6.3%
646
 
5.3%
( 603
 
4.9%
) 603
 
4.9%
502
 
4.1%
440
 
3.6%
372
 
3.1%
371
 
3.0%
303
 
2.5%
Other values (123) 6535
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10110
83.0%
Open Punctuation 603
 
4.9%
Close Punctuation 603
 
4.9%
Other Punctuation 491
 
4.0%
Dash Punctuation 196
 
1.6%
Space Separator 153
 
1.3%
Decimal Number 27
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1043
 
10.3%
765
 
7.6%
646
 
6.4%
502
 
5.0%
440
 
4.4%
372
 
3.7%
371
 
3.7%
303
 
3.0%
293
 
2.9%
293
 
2.9%
Other values (112) 5082
50.3%
Other Punctuation
ValueCountFrequency (%)
, 255
51.9%
/ 144
29.3%
. 39
 
7.9%
· 38
 
7.7%
: 15
 
3.1%
Decimal Number
ValueCountFrequency (%)
2 16
59.3%
1 11
40.7%
Open Punctuation
ValueCountFrequency (%)
( 603
100.0%
Close Punctuation
ValueCountFrequency (%)
) 603
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%
Space Separator
ValueCountFrequency (%)
153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10110
83.0%
Common 2073
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1043
 
10.3%
765
 
7.6%
646
 
6.4%
502
 
5.0%
440
 
4.4%
372
 
3.7%
371
 
3.7%
303
 
3.0%
293
 
2.9%
293
 
2.9%
Other values (112) 5082
50.3%
Common
ValueCountFrequency (%)
( 603
29.1%
) 603
29.1%
, 255
12.3%
- 196
 
9.5%
153
 
7.4%
/ 144
 
6.9%
. 39
 
1.9%
· 38
 
1.8%
2 16
 
0.8%
: 15
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10110
83.0%
ASCII 2035
 
16.7%
None 38
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1043
 
10.3%
765
 
7.6%
646
 
6.4%
502
 
5.0%
440
 
4.4%
372
 
3.7%
371
 
3.7%
303
 
3.0%
293
 
2.9%
293
 
2.9%
Other values (112) 5082
50.3%
ASCII
ValueCountFrequency (%)
( 603
29.6%
) 603
29.6%
, 255
12.5%
- 196
 
9.6%
153
 
7.5%
/ 144
 
7.1%
. 39
 
1.9%
2 16
 
0.8%
: 15
 
0.7%
1 11
 
0.5%
None
ValueCountFrequency (%)
· 38
100.0%
Distinct58
Distinct (%)30.4%
Missing9809
Missing (%)98.1%
Memory size156.2 KiB
2024-04-06T17:02:46.920511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length50
Mean length20.685864
Min length6

Characters and Unicode

Total characters3951
Distinct characters127
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)15.7%

Sample

1st row기술사사무소(설비)
2nd row엔지니어링사업(측량, 지적)
3rd row건설엔지니어링업(설계,사업관리-설계등용역-일반)
4th row기술사사무소(상하수도)/기술사사무소(토질,지질)
5th row기술사사무소(항만,해안)
ValueCountFrequency (%)
기술사사무소(상하수도)/기술사사무소(토질,지질 32
 
13.4%
건설엔지니어링업(설계,사업관리-건설사업관리 18
 
7.6%
폐기물종합처분업 18
 
7.6%
폐기물 13
 
5.5%
설계업(전문설계1종 8
 
3.4%
기술사사무소(토질및기초)/기술사사무소(상하수도 8
 
3.4%
폐기물최종처분업(지정폐기물외 8
 
3.4%
토목건축공사업/정보통신공사업/전기공사업/일반소방시설공사업(기계)/일반소방시설공사업(전기 6
 
2.5%
기술사사무소(측량,지적 6
 
2.5%
설계업(종합설계 6
 
2.5%
Other values (65) 115
48.3%
2024-04-06T17:02:47.587202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
8.7%
251
 
6.4%
( 221
 
5.6%
) 219
 
5.5%
217
 
5.5%
137
 
3.5%
131
 
3.3%
119
 
3.0%
118
 
3.0%
113
 
2.9%
Other values (117) 2081
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3204
81.1%
Open Punctuation 221
 
5.6%
Close Punctuation 219
 
5.5%
Other Punctuation 204
 
5.2%
Space Separator 51
 
1.3%
Dash Punctuation 35
 
0.9%
Decimal Number 17
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
344
 
10.7%
251
 
7.8%
217
 
6.8%
137
 
4.3%
131
 
4.1%
119
 
3.7%
118
 
3.7%
113
 
3.5%
106
 
3.3%
96
 
3.0%
Other values (104) 1572
49.1%
Other Punctuation
ValueCountFrequency (%)
/ 104
51.0%
, 84
41.2%
· 8
 
3.9%
. 7
 
3.4%
: 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 12
70.6%
4 2
 
11.8%
6 2
 
11.8%
2 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 219
100.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3204
81.1%
Common 747
 
18.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
344
 
10.7%
251
 
7.8%
217
 
6.8%
137
 
4.3%
131
 
4.1%
119
 
3.7%
118
 
3.7%
113
 
3.5%
106
 
3.3%
96
 
3.0%
Other values (104) 1572
49.1%
Common
ValueCountFrequency (%)
( 221
29.6%
) 219
29.3%
/ 104
13.9%
, 84
 
11.2%
51
 
6.8%
- 35
 
4.7%
1 12
 
1.6%
· 8
 
1.1%
. 7
 
0.9%
4 2
 
0.3%
Other values (3) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3204
81.1%
ASCII 739
 
18.7%
None 8
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
344
 
10.7%
251
 
7.8%
217
 
6.8%
137
 
4.3%
131
 
4.1%
119
 
3.7%
118
 
3.7%
113
 
3.5%
106
 
3.3%
96
 
3.0%
Other values (104) 1572
49.1%
ASCII
ValueCountFrequency (%)
( 221
29.9%
) 219
29.6%
/ 104
14.1%
, 84
 
11.4%
51
 
6.9%
- 35
 
4.7%
1 12
 
1.6%
. 7
 
0.9%
4 2
 
0.3%
6 2
 
0.3%
Other values (2) 2
 
0.3%
None
ValueCountFrequency (%)
· 8
100.0%

공종및면허제한그룹5
Categorical

IMBALANCE 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9949 
측량업(기타-일반측량업)
 
8
폐기물종합처분업
 
6
설계업(전문설계1종)
 
5
폐기물최종재활용업(지정폐기물외 폐기물)
 
3
Other values (20)
 
29

Length

Max length46
Median length4
Mean length4.0621
Min length4

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9949
99.5%
측량업(기타-일반측량업) 8
 
0.1%
폐기물종합처분업 6
 
0.1%
설계업(전문설계1종) 5
 
0.1%
폐기물최종재활용업(지정폐기물외 폐기물) 3
 
< 0.1%
폐기물최종처분업(지정폐기물외 폐기물) 3
 
< 0.1%
기술사사무소(토질,지질) 3
 
< 0.1%
폐기물수집.운반업(지정폐기물)/폐기물중간처분업(지정폐기물) 2
 
< 0.1%
측량업(기타-공공측량업) 2
 
< 0.1%
기술사사무소(토목구조) 2
 
< 0.1%
Other values (15) 17
 
0.2%

Length

2024-04-06T17:02:47.836632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 9949
99.4%
측량업(기타-일반측량업 8
 
0.1%
폐기물 7
 
0.1%
폐기물종합처분업 6
 
0.1%
설계업(전문설계1종 5
 
< 0.1%
폐기물최종재활용업(지정폐기물외 3
 
< 0.1%
폐기물최종처분업(지정폐기물외 3
 
< 0.1%
기술사사무소(토질,지질 3
 
< 0.1%
건설엔지니어링업(설계,사업관리-건설사업관리 2
 
< 0.1%
기술사사무소(측량,지적 2
 
< 0.1%
Other values (18) 21
 
0.2%
Distinct18
Distinct (%)66.7%
Missing9973
Missing (%)99.7%
Memory size156.2 KiB
2024-04-06T17:02:48.195431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length17.37037
Min length6

Characters and Unicode

Total characters469
Distinct characters86
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

Unique12 ?
Unique (%)44.4%

Sample

1st row기술사사무소(측량,지적)
2nd row측량업(기타-일반측량업)
3rd row측량업(기타-공공측량업)
4th row측량업(기타-공공측량업)
5th row폐기물수집.운반업(지정폐기물)/폐기물최종처분업(지정폐기물)
ValueCountFrequency (%)
폐기물종합처분업 4
 
11.8%
측량업(기타-공공측량업 3
 
8.8%
측량업(기타-일반측량업 2
 
5.9%
폐기물수집.운반업(지정폐기물)/폐기물최종처분업(지정폐기물 2
 
5.9%
석면조사기관 2
 
5.9%
기술사사무소(측량,지적 2
 
5.9%
폐기물종합재활용업(지정폐기물외 2
 
5.9%
측량업(측지측량업 1
 
2.9%
재활용 1
 
2.9%
유지로 1
 
2.9%
Other values (14) 14
41.2%
2024-04-06T17:02:48.868482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
7.9%
29
 
6.2%
( 29
 
6.2%
) 29
 
6.2%
28
 
6.0%
20
 
4.3%
18
 
3.8%
16
 
3.4%
15
 
3.2%
14
 
3.0%
Other values (76) 234
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
81.7%
Open Punctuation 29
 
6.2%
Close Punctuation 29
 
6.2%
Other Punctuation 15
 
3.2%
Space Separator 7
 
1.5%
Dash Punctuation 6
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
 
9.7%
29
 
7.6%
28
 
7.3%
20
 
5.2%
18
 
4.7%
16
 
4.2%
15
 
3.9%
14
 
3.7%
11
 
2.9%
10
 
2.6%
Other values (69) 185
48.3%
Other Punctuation
ValueCountFrequency (%)
/ 8
53.3%
, 5
33.3%
. 2
 
13.3%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
81.7%
Common 86
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
9.7%
29
 
7.6%
28
 
7.3%
20
 
5.2%
18
 
4.7%
16
 
4.2%
15
 
3.9%
14
 
3.7%
11
 
2.9%
10
 
2.6%
Other values (69) 185
48.3%
Common
ValueCountFrequency (%)
( 29
33.7%
) 29
33.7%
/ 8
 
9.3%
7
 
8.1%
- 6
 
7.0%
, 5
 
5.8%
. 2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
81.7%
ASCII 86
 
18.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
 
9.7%
29
 
7.6%
28
 
7.3%
20
 
5.2%
18
 
4.7%
16
 
4.2%
15
 
3.9%
14
 
3.7%
11
 
2.9%
10
 
2.6%
Other values (69) 185
48.3%
ASCII
ValueCountFrequency (%)
( 29
33.7%
) 29
33.7%
/ 8
 
9.3%
7
 
8.1%
- 6
 
7.0%
, 5
 
5.8%
. 2
 
2.3%
Distinct9
Distinct (%)100.0%
Missing9991
Missing (%)99.9%
Memory size156.2 KiB
2024-04-06T17:02:49.219497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length13
Mean length18.777778
Min length6

Characters and Unicode

Total characters169
Distinct characters54
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row측량업(기타-공공측량업)
2nd row설계업(전문설계1종)
3rd row엔지니어링사업(구조)/기술사사무소(항만,해안)/기술사사무소(토질,지질)
4th row기술사사무소(토목구조)/기술사사무소(항만및해안)/엔지니어링사업(토질, 지질)
5th row전문소방시설설계업
ValueCountFrequency (%)
측량업(기타-공공측량업 1
9.1%
설계업(전문설계1종 1
9.1%
엔지니어링사업(구조)/기술사사무소(항만,해안)/기술사사무소(토질,지질 1
9.1%
기술사사무소(토목구조)/기술사사무소(항만및해안)/엔지니어링사업(토질 1
9.1%
지질 1
9.1%
전문소방시설설계업 1
9.1%
폐기물최종재활용업(지정폐기물외 1
9.1%
폐기물 1
9.1%
석면조사기관 1
9.1%
측량업(기타-지하시설물측량업 1
9.1%
2024-04-06T17:02:50.006329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
7.7%
( 11
 
6.5%
11
 
6.5%
) 11
 
6.5%
9
 
5.3%
6
 
3.6%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
Other values (44) 87
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
79.9%
Open Punctuation 11
 
6.5%
Close Punctuation 11
 
6.5%
Other Punctuation 7
 
4.1%
Space Separator 2
 
1.2%
Dash Punctuation 2
 
1.2%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
9.6%
11
 
8.1%
9
 
6.7%
6
 
4.4%
6
 
4.4%
5
 
3.7%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
Other values (37) 67
49.6%
Other Punctuation
ValueCountFrequency (%)
/ 4
57.1%
, 3
42.9%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
79.9%
Common 34
 
20.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
9.6%
11
 
8.1%
9
 
6.7%
6
 
4.4%
6
 
4.4%
5
 
3.7%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
Other values (37) 67
49.6%
Common
ValueCountFrequency (%)
( 11
32.4%
) 11
32.4%
/ 4
 
11.8%
, 3
 
8.8%
2
 
5.9%
- 2
 
5.9%
1 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
79.9%
ASCII 34
 
20.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
13
 
9.6%
11
 
8.1%
9
 
6.7%
6
 
4.4%
6
 
4.4%
5
 
3.7%
5
 
3.7%
5
 
3.7%
4
 
3.0%
4
 
3.0%
Other values (37) 67
49.6%
ASCII
ValueCountFrequency (%)
( 11
32.4%
) 11
32.4%
/ 4
 
11.8%
, 3
 
8.8%
2
 
5.9%
- 2
 
5.9%
1 1
 
2.9%
Distinct9
Distinct (%)100.0%
Missing9991
Missing (%)99.9%
Memory size156.2 KiB
2024-04-06T17:02:50.406111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length41
Mean length27.555556
Min length10

Characters and Unicode

Total characters248
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row측량업(측지측량업)
2nd row측량업(기타-일반측량업)
3rd row기술사사무소(항만,해안)/기술사사무소(구조)/기술사사무소(토질,지질)
4th row기술사사무소(항만및해안)/엔지니어링사업(구조)/엔지니어링사업(토질, 지질)
5th row일반소방시설설계업(기계)/일반소방시설설계업(전기)
ValueCountFrequency (%)
측량업(측지측량업 1
 
5.9%
유기성 1
 
5.9%
측량업(지적측량업 1
 
5.9%
지질)/엔지니어링사업(설비 1
 
5.9%
엔지니어링사업(정보통신)/엔지니어링사업(토질 1
 
5.9%
가축의 1
 
5.9%
퇴비나 1
 
5.9%
오니를 1
 
5.9%
폐기물 1
 
5.9%
측량업(기타-일반측량업 1
 
5.9%
Other values (7) 7
41.2%
2024-04-06T17:02:51.115370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 16
 
6.5%
15
 
6.0%
) 15
 
6.0%
13
 
5.2%
11
 
4.4%
10
 
4.0%
10
 
4.0%
7
 
2.8%
/ 7
 
2.8%
7
 
2.8%
Other values (58) 137
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
75.8%
Open Punctuation 16
 
6.5%
Close Punctuation 15
 
6.0%
Other Punctuation 13
 
5.2%
Space Separator 10
 
4.0%
Decimal Number 4
 
1.6%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
8.0%
13
 
6.9%
11
 
5.9%
10
 
5.3%
7
 
3.7%
7
 
3.7%
6
 
3.2%
6
 
3.2%
6
 
3.2%
6
 
3.2%
Other values (49) 101
53.7%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
6 1
25.0%
4 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 7
53.8%
, 6
46.2%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
75.8%
Common 60
 
24.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
8.0%
13
 
6.9%
11
 
5.9%
10
 
5.3%
7
 
3.7%
7
 
3.7%
6
 
3.2%
6
 
3.2%
6
 
3.2%
6
 
3.2%
Other values (49) 101
53.7%
Common
ValueCountFrequency (%)
( 16
26.7%
) 15
25.0%
10
16.7%
/ 7
11.7%
, 6
 
10.0%
1 2
 
3.3%
- 2
 
3.3%
6 1
 
1.7%
4 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
75.8%
ASCII 60
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 16
26.7%
) 15
25.0%
10
16.7%
/ 7
11.7%
, 6
 
10.0%
1 2
 
3.3%
- 2
 
3.3%
6 1
 
1.7%
4 1
 
1.7%
Hangul
ValueCountFrequency (%)
15
 
8.0%
13
 
6.9%
11
 
5.9%
10
 
5.3%
7
 
3.7%
7
 
3.7%
6
 
3.2%
6
 
3.2%
6
 
3.2%
6
 
3.2%
Other values (49) 101
53.7%

공종및면허제한그룹9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공종및면허제한그룹10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공종및면허제한그룹11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공종및면허제한그룹12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공종및면허제한그룹13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공종및면허제한그룹14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공종및면허제한그룹15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공종및면허제한그룹16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

입찰공고링크주소(URL)
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
9593 
http://www.d2b.go.kr/peb/bid/announceList.do
 
407

Length

Max length54
Median length54
Mean length53.593
Min length44

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
2nd rowhttp://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
3rd rowhttp://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
4th rowhttp://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
5th rowhttp://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do

Common Values

ValueCountFrequency (%)
http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do 9593
95.9%
http://www.d2b.go.kr/peb/bid/announceList.do 407
 
4.1%

Length

2024-04-06T17:02:51.353322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:02:51.565970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://www.d2b.go.kr/psb/bid/servicebidannouncelist.do 9593
95.9%
http://www.d2b.go.kr/peb/bid/announcelist.do 407
 
4.1%

Sample

입찰공고번호입찰공고차수참조공고번호참조공고차수나라장터공고여부입찰공고명입찰공고상태명입찰공고일자업무구분명공동계약여부공동수급방식명전자입찰여부계약체결형태명계약체결방법명낙찰자결정방법명공고기관명공고기관코드공고기관담당자부서명공고기관담당자명수요기관명수요기관코드수요기관담당자부서명수요기관담당자명설명회실시여부설명회실시일자설명회실시시각설명회실시장소입찰참가자격등록마감일자입찰참가자격등록마감시각입찰마감일자입찰마감시각개찰일자개찰시각개찰장소예산금액배정예산금액(설계금액)지역제한여부참여가능지역명공종및면허제한그룹1공종및면허제한그룹2공종및면허제한그룹3공종및면허제한그룹4공종및면허제한그룹5공종및면허제한그룹6공종및면허제한그룹7공종및면허제한그룹8공종및면허제한그룹9공종및면허제한그룹10공종및면허제한그룹11공종및면허제한그룹12공종및면허제한그룹13공종및면허제한그룹14공종및면허제한그룹15공종및면허제한그룹16입찰공고링크주소(URL)
636SFD001612016SFD00162016-017061Y석면정비 및 유해작업장 개선 설계용역긴급공고2016-03-07공사Y공동[분담]Y총액계약제한경쟁적격심사제제9227부대ZD00150제9227부대신철호제9227부대ZD00150제9227부대신철호N<NA><NA><NA>2016-03-1416:00:002016-03-1510:00:002016-03-1510:30:00국방전자조달 시스템5634174758032000Y경상북도건축사사무소석면조사기관엔지니어링사업(설비)기술사사무소(설비)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
9547UAC002412017UAC00242017-180181Y00지역 온수보일러 및 온수탱크 교체공사긴급공고2017-11-29공사N<NA>Y총액계약제한경쟁적격심사제국방출판지원단ZD00908국방출판지원단송희진국방출판지원단ZD00908국방출판지원단송희진N<NA><NA><NA>2017-12-0416:00:002017-12-0510:30:002017-12-0511:00:00국방전자조달 시스템3826553039889000Y충청남도기계설비공사업난방시공업제1종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
6663HDP001812017HDP00182017-056911Y17대규모보수(노후시설개선공사)긴급공고2017-05-11공사N<NA>Y총액계약제한경쟁적격심사제공군제19전투비행단ZD00189공군제19전투비행단이성원공군제19전투비행단ZD00189공군제19전투비행단이성원N<NA><NA><NA>2017-05-1710:00:002017-05-1810:00:002017-05-1810:30:00국방전자조달 시스템245678640253049000Y충청북도시설물유지관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
13454LHN010412018LHN01042018-105531Y솔바람 아파트 샷시 발코니 보수긴급공고2018-07-18공사N<NA>Y총액계약제한경쟁적격심사제제2621부대ZD00394제2621부대서동근제2621부대ZD00394제2621부대서동근N<NA><NA><NA>2018-07-2516:00:002018-07-2610:00:002018-07-2610:30:00국방전자조달 시스템288852000288852000Y강원도시설물유지관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
802UMM012412016UMM01242016-022851Y00부대 통합시설 신축 시설공사(16-2002)긴급공고2016-03-17공사N<NA>Y총액계약제한경쟁적격심사제국군재정관리단ZD00303국군재정관리단임상달국군재정관리단ZD00303국군재정관리단임상달N<NA><NA><NA>2016-03-2311:00:002016-03-2410:00:002016-03-2411:00:00국방전자조달 시스템24750530002475053000Y강원도건축공사업토목건축공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
13723LNQ004212018LNQ00422018-119721Y유격장 샤워장 설치공사(18-G19)긴급공고2018-08-21공사N<NA>Y총액계약제한경쟁적격심사제제17보병사단ZD00375제17보병사단이미선제17보병사단ZD00375제17보병사단이미선N<NA><NA><NA>2018-08-2710:00:002018-08-2810:00:002018-08-2810:30:00국방전자조달 시스템232751830465503660Y인천광역시건축공사업토목건축공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
15319LGM012612018LGM01262018-188451Y11사단 37전차대대 취사식당(전기)긴급공고2018-12-12공사N<NA>Y총액계약제한경쟁적격심사제제11기동사단ZD00411제11기동사단이동헌제11기동사단ZD00411제11기동사단이동헌N<NA><NA><NA>2018-12-1711:00:002018-12-1810:00:002018-12-1811:00:00국방전자조달 시스템221597880443195760Y강원도전기공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
15253LHN018112018LHN01812018-187321Y신풍리아파트(건설폐기물처리용역)긴급공고2018-12-11용역Y공동[분담]Y총액계약일반경쟁적격심사제제2621부대ZD00394제2621부대서동근제2621부대ZD00394제2621부대서동근N<NA><NA><NA>2018-12-1716:00:002018-12-1810:00:002018-12-1810:30:00국방전자조달 시스템120450000120450000N<NA>건설폐기물 중간처리업폐기물종합처분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
13213LMP002912018LMP00292018-091661Y7301-201대대 법면 및 배수로 보강공사긴급공고2018-06-21공사N<NA>Y총액계약제한경쟁적격심사제제1968부대ZD00507제1968부대강인호제1968부대ZD00507제1968부대강인호N<NA><NA><NA>2018-06-2611:00:002018-06-2710:30:002018-06-2711:00:00국방전자조달 시스템248400000745200000Y강원도토목공사업토목건축공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
3796LNQ005212016LNQ00522016-145771Y00대대 토양오염 복원공사긴급공고2016-10-12용역N<NA>Y총액계약제한경쟁적격심사제제17보병사단ZD00375제17보병사단문영석제17보병사단ZD00375제17보병사단문영석N<NA><NA><NA>2016-10-1710:00:002016-10-1810:00:002016-10-1811:00:00국방전자조달 시스템241692000241692000Y경기도토양정화업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
입찰공고번호입찰공고차수참조공고번호참조공고차수나라장터공고여부입찰공고명입찰공고상태명입찰공고일자업무구분명공동계약여부공동수급방식명전자입찰여부계약체결형태명계약체결방법명낙찰자결정방법명공고기관명공고기관코드공고기관담당자부서명공고기관담당자명수요기관명수요기관코드수요기관담당자부서명수요기관담당자명설명회실시여부설명회실시일자설명회실시시각설명회실시장소입찰참가자격등록마감일자입찰참가자격등록마감시각입찰마감일자입찰마감시각개찰일자개찰시각개찰장소예산금액배정예산금액(설계금액)지역제한여부참여가능지역명공종및면허제한그룹1공종및면허제한그룹2공종및면허제한그룹3공종및면허제한그룹4공종및면허제한그룹5공종및면허제한그룹6공종및면허제한그룹7공종및면허제한그룹8공종및면허제한그룹9공종및면허제한그룹10공종및면허제한그룹11공종및면허제한그룹12공종및면허제한그룹13공종및면허제한그룹14공종및면허제한그룹15공종및면허제한그룹16입찰공고링크주소(URL)
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16116LMR001712019LMR00172019-004451Y지자체관로연결 등 6건 설계(CM-04)긴급공고2019-01-17용역Y공동[분담]Y총액계약제한경쟁적격심사제제5군단사령부ZD00009제5군단사령부조완래제5군단사령부ZD00009제5군단사령부조완래N<NA><NA><NA>2019-01-2410:00:002019-01-2510:00:002019-01-2510:30:00국방전자조달 시스템5811500058115000Y경기도/강원도엔지니어링사업(상하수도)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
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20757HDC007122019HDC00712019-133902Y19-전-공-12 항공관제레이더 시설사업 설계취소공고2019-07-22용역Y공동[분담]Y총액계약일반경쟁적격심사제공군제1전투비행단ZD00173공군제1전투비행단진정민공군제1전투비행단ZD00173공군제1전투비행단진정민N<NA><NA><NA>2019-07-2417:00:002019-07-2510:00:002019-07-2510:30:00국방전자조달 시스템107840190109997000N<NA>건축사사무소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/peb/bid/announceList.do
21430LGH010912019LGH01092019-158751Y포병교 기간병 취사식당등 2개소 보수공사긴급공고2019-08-30공사N<NA>Y총액계약제한경쟁적격심사제육군상무대근무지원단ZD00522육군상무대근무지원단임준택육군상무대근무지원단ZD00522육군상무대근무지원단임준택N<NA><NA><NA>2019-09-0514:00:002019-09-0610:00:002019-09-0610:30:00국방전자조달 시스템721158000721158000Y전라남도시설물유지관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
19976LNQ007132019LNQ00712019-104133Y00-3대대 등 2개소 노후상수도 개선공사취소공고2019-06-14공사N<NA>Y총액계약제한경쟁적격심사제제17보병사단ZD00375제17보병사단배경륜제17보병사단ZD00375제17보병사단배경륜N<NA><NA><NA>2019-06-1814:00:002019-06-1910:00:002019-06-1910:30:00국방전자조달 시스템190230430190230430Y경기도상.하수도설비공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
7187MCX008412017MCX00842017-075921Y00지역 시설 개선공사긴급공고2017-06-07공사N<NA>Y총액계약제한경쟁적격심사제자운대근무지원단ZD01071자운대근무지원단박민수자운대근무지원단ZD01071자운대근무지원단박민수N<NA><NA><NA>2017-06-1211:00:002017-06-1310:00:002017-06-1311:00:00국방전자조달 시스템160477000160477000Y대전광역시시설물유지관리업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
4389LMR014812016LMR01482016-176111Y00부대경계시설보강 건설폐기물정상공고2016-11-17용역N<NA>Y총액계약제한경쟁적격심사제제5군단사령부ZD00009제5군단사령부양연희제5군단사령부ZD00009제5군단사령부양연희N<NA><NA><NA>2016-11-2415:00:002016-11-2510:00:002016-11-2511:00:00국방전자조달 시스템5655436858251000Y강원도건설폐기물 중간처리업/건설폐기물 수집·운반업폐기물종합처분업/건설폐기물 수집·운반업건설폐기물 중간처리업폐기물종합처분업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
15913LHQ002712019LHQ00272019-002051Y19-충-육-3 설계용역긴급공고2019-01-11용역Y공동[분담]Y총액계약제한경쟁적격심사제제6619부대1290300제2작전사령부윤성진제6619부대1290300제2작전사령부윤성진N<NA><NA><NA>2019-01-1615:00:002019-01-1710:00:002019-01-1711:00:00국방전자조달 시스템<NA>103491000Y충청남도건축사사무소<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do
21431LGH011012019LGH01102019-158901Y포병교 기간병 취사식당등 2개소 설비공사긴급공고2019-08-30공사N<NA>Y총액계약제한경쟁적격심사제육군상무대근무지원단ZD00522육군상무대근무지원단임준택육군상무대근무지원단ZD00522육군상무대근무지원단임준택N<NA><NA><NA>2019-09-0514:00:002019-09-0610:00:002019-09-0610:30:00국방전자조달 시스템353968000353968000Y전라남도기계설비공사업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>http://www.d2b.go.kr/psb/bid/serviceBidAnnounceList.do