Overview

Dataset statistics

Number of variables85
Number of observations1488
Missing cells35379
Missing cells (%)28.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1017.3 KiB
Average record size in memory700.1 B

Variable types

DateTime14
Numeric14
Categorical21
Boolean9
Text27

Dataset

Description입찰공고목록 정보(물품부분)
Author조달청
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=DYLQ1W7O4VLI1A843NRG29153306&infSeq=1

Alerts

등록유형명 has constant value ""Constant
공고규격서URL6 has constant value ""Constant
공고규격서URL7 has constant value ""Constant
공고규격파일명6 has constant value ""Constant
공고규격파일명7 has constant value ""Constant
입찰공고차수 is highly imbalanced (73.0%)Imbalance
재공고여부 is highly imbalanced (56.1%)Imbalance
공고종류명 is highly imbalanced (53.8%)Imbalance
국제입찰여부 is highly imbalanced (85.4%)Imbalance
입찰방식명 is highly imbalanced (82.9%)Imbalance
공동수급협정서접수방식 is highly imbalanced (83.9%)Imbalance
공동수급업체지역제한여부 is highly imbalanced (98.5%)Imbalance
물품분류제한여부 is highly imbalanced (52.9%)Imbalance
예정가격결정방법명 is highly imbalanced (74.5%)Imbalance
총예가건수 is highly imbalanced (74.5%)Imbalance
추첨예가건수 is highly imbalanced (74.5%)Imbalance
개찰장소 is highly imbalanced (70.6%)Imbalance
공동수급방식명 is highly imbalanced (64.0%)Imbalance
지사투찰허용여부 is highly imbalanced (91.4%)Imbalance
지명경쟁여부 is highly imbalanced (86.1%)Imbalance
정보화사업여부 is highly imbalanced (86.7%)Imbalance
공동수급협정마감일시 has 1453 (97.6%) missing valuesMissing
공고규격서URL1 has 180 (12.1%) missing valuesMissing
공고규격서URL2 has 244 (16.4%) missing valuesMissing
공고규격서URL3 has 1015 (68.2%) missing valuesMissing
공고규격서URL4 has 1389 (93.3%) missing valuesMissing
공고규격서URL5 has 1475 (99.1%) missing valuesMissing
공고규격서URL6 has 1487 (99.9%) missing valuesMissing
공고규격서URL7 has 1487 (99.9%) missing valuesMissing
공고규격파일명1 has 180 (12.1%) missing valuesMissing
공고규격파일명2 has 244 (16.4%) missing valuesMissing
공고규격파일명3 has 1015 (68.2%) missing valuesMissing
공고규격파일명4 has 1389 (93.3%) missing valuesMissing
공고규격파일명5 has 1475 (99.1%) missing valuesMissing
공고규격파일명6 has 1487 (99.9%) missing valuesMissing
공고규격파일명7 has 1487 (99.9%) missing valuesMissing
물품분류제한여부 has 853 (57.3%) missing valuesMissing
제조여부 has 571 (38.4%) missing valuesMissing
물품단가 has 1218 (81.9%) missing valuesMissing
납품기한일시 has 990 (66.5%) missing valuesMissing
납품일수 has 362 (24.3%) missing valuesMissing
지사투찰허용여부 has 562 (37.8%) missing valuesMissing
실적신청서접수일시 has 1478 (99.3%) missing valuesMissing
발주계획통합번호 has 340 (22.8%) missing valuesMissing
낙찰하한율 has 229 (15.4%) missing valuesMissing
사전규격등록번호 has 576 (38.7%) missing valuesMissing
정보화사업여부 has 1218 (81.9%) missing valuesMissing
변경일시 has 1442 (96.9%) missing valuesMissing
변경공고사유 has 1299 (87.3%) missing valuesMissing
재입찰개찰일시 has 1483 (99.7%) missing valuesMissing
[기초금액]기초금액 has 501 (33.7%) missing valuesMissing
[기초금액]기초금액공개일시 has 501 (33.7%) missing valuesMissing
[기초금액]비고1 has 1463 (98.3%) missing valuesMissing
[기초금액]가용금액 has 1331 (89.4%) missing valuesMissing
[기초금액]입력일시 has 501 (33.7%) missing valuesMissing
[구매대상물품]물품순번 has 174 (11.7%) missing valuesMissing
[구매대상물품]물품분류번호 has 174 (11.7%) missing valuesMissing
[구매대상물품]품명 has 174 (11.7%) missing valuesMissing
[구매대상물품]수량 has 174 (11.7%) missing valuesMissing
[구매대상물품]단위 has 174 (11.7%) missing valuesMissing
[구매대상물품]단가 has 1228 (82.5%) missing valuesMissing
[구매대상물품]납품장소 has 179 (12.0%) missing valuesMissing
[구매대상물품]공고게시일시 has 174 (11.7%) missing valuesMissing
물품수량 is highly skewed (γ1 = 20.35233777)Skewed
납품일수 has 148 (9.9%) zerosZeros

Reproduction

Analysis started2024-05-17 20:30:47.014965
Analysis finished2024-05-17 20:30:54.497391
Duration7.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1311
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2019-01-07 18:01:28
Maximum2024-05-01 09:20:21
2024-05-18T05:30:54.680074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:30:55.117147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입찰공고번호
Real number (ℝ)

Distinct1223
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0200074 × 1010
Minimum2.0190105 × 1010
Maximum2.0240448 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:30:55.439821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0190105 × 1010
5-th percentile2.0190329 × 1010
Q12.019063 × 1010
median2.0200304 × 1010
Q32.0200911 × 1010
95-th percentile2.0230419 × 1010
Maximum2.0240448 × 1010
Range50342612
Interquartile range (IQR)10280336

Descriptive statistics

Standard deviation12867075
Coefficient of variation (CV)0.00063698161
Kurtosis2.0108327
Mean2.0200074 × 1010
Median Absolute Deviation (MAD)9379933
Skewness1.7044539
Sum3.0057709 × 1013
Variance1.6556163 × 1014
MonotonicityNot monotonic
2024-05-18T05:30:55.860207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190630496 18
 
1.2%
20201106792 9
 
0.6%
20200534698 6
 
0.4%
20191019983 6
 
0.4%
20200342632 6
 
0.4%
20200414908 6
 
0.4%
20200425589 5
 
0.3%
20201104265 5
 
0.3%
20201110004 5
 
0.3%
20190449669 5
 
0.3%
Other values (1213) 1417
95.2%
ValueCountFrequency (%)
20190105084 1
0.1%
20190110111 1
0.1%
20190111441 1
0.1%
20190112256 1
0.1%
20190112319 1
0.1%
20190114558 1
0.1%
20190115629 1
0.1%
20190121270 1
0.1%
20190123353 1
0.1%
20190125173 1
0.1%
ValueCountFrequency (%)
20240447696 1
0.1%
20240441364 1
0.1%
20240431373 1
0.1%
20240430381 1
0.1%
20240428912 1
0.1%
20240428748 1
0.1%
20240428465 1
0.1%
20240427640 1
0.1%
20240426951 1
0.1%
20240348058 1
0.1%

입찰공고차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
0
1299 
1
166 
2
 
20
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1299
87.3%
1 166
 
11.2%
2 20
 
1.3%
3 2
 
0.1%
4 1
 
0.1%

Length

2024-05-18T05:30:56.430523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:30:56.626851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1299
87.3%
1 166
 
11.2%
2 20
 
1.3%
3 2
 
0.1%
4 1
 
0.1%

재공고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1353 
True
 
135
ValueCountFrequency (%)
False 1353
90.9%
True 135
 
9.1%
2024-05-18T05:30:56.864991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록유형명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
조달청 또는 나라장터 자체 공고건
1488 

Length

Max length18
Median length18
Mean length18
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조달청 또는 나라장터 자체 공고건
2nd row조달청 또는 나라장터 자체 공고건
3rd row조달청 또는 나라장터 자체 공고건
4th row조달청 또는 나라장터 자체 공고건
5th row조달청 또는 나라장터 자체 공고건

Common Values

ValueCountFrequency (%)
조달청 또는 나라장터 자체 공고건 1488
100.0%

Length

2024-05-18T05:30:57.209550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:30:57.519126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조달청 1488
20.0%
또는 1488
20.0%
나라장터 1488
20.0%
자체 1488
20.0%
공고건 1488
20.0%

공고종류명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
일반
1178 
취소
131 
긴급
 
116
변경
 
58
재입찰
 
5

Length

Max length3
Median length2
Mean length2.0033602
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 1178
79.2%
취소 131
 
8.8%
긴급 116
 
7.8%
변경 58
 
3.9%
재입찰 5
 
0.3%

Length

2024-05-18T05:30:57.855076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:30:58.249158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 1178
79.2%
취소 131
 
8.8%
긴급 116
 
7.8%
변경 58
 
3.9%
재입찰 5
 
0.3%

국제입찰여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1457 
True
 
31
ValueCountFrequency (%)
False 1457
97.9%
True 31
 
2.1%
2024-05-18T05:30:58.592782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct1011
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-05-18T05:30:59.068898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length15.008737
Min length3

Characters and Unicode

Total characters22333
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique860 ?
Unique (%)57.8%

Sample

1st row22243044900
2nd row22243042500
3rd row경기도 입찰공고 제2024-423호
4th row123-83-00169
5th row6412103
ValueCountFrequency (%)
경기도 565
 
19.2%
입찰공고 535
 
18.2%
공고 80
 
2.7%
65
 
2.2%
경기도건설본부 43
 
1.5%
경기도입찰공고 42
 
1.4%
6412103 36
 
1.2%
35
 
1.2%
경기도동물위생시험소 28
 
1.0%
123-83-00169 26
 
0.9%
Other values (1021) 1482
50.5%
2024-05-18T05:30:59.895384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2582
 
11.6%
2 2488
 
11.1%
1 1526
 
6.8%
1450
 
6.5%
- 1110
 
5.0%
3 983
 
4.4%
9 837
 
3.7%
777
 
3.5%
746
 
3.3%
742
 
3.3%
Other values (109) 9092
40.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11146
49.9%
Other Letter 8404
37.6%
Space Separator 1450
 
6.5%
Dash Punctuation 1110
 
5.0%
Other Punctuation 111
 
0.5%
Uppercase Letter 38
 
0.2%
Close Punctuation 37
 
0.2%
Open Punctuation 37
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
777
 
9.2%
746
 
8.9%
742
 
8.8%
677
 
8.1%
677
 
8.1%
664
 
7.9%
633
 
7.5%
578
 
6.9%
578
 
6.9%
185
 
2.2%
Other values (90) 2147
25.5%
Decimal Number
ValueCountFrequency (%)
0 2582
23.2%
2 2488
22.3%
1 1526
13.7%
3 983
 
8.8%
9 837
 
7.5%
5 634
 
5.7%
6 623
 
5.6%
4 523
 
4.7%
8 522
 
4.7%
7 428
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
Y 17
44.7%
Z 17
44.7%
C 3
 
7.9%
G 1
 
2.6%
Space Separator
ValueCountFrequency (%)
1450
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1110
100.0%
Other Punctuation
ValueCountFrequency (%)
. 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13891
62.2%
Hangul 8404
37.6%
Latin 38
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
777
 
9.2%
746
 
8.9%
742
 
8.8%
677
 
8.1%
677
 
8.1%
664
 
7.9%
633
 
7.5%
578
 
6.9%
578
 
6.9%
185
 
2.2%
Other values (90) 2147
25.5%
Common
ValueCountFrequency (%)
0 2582
18.6%
2 2488
17.9%
1 1526
11.0%
1450
10.4%
- 1110
8.0%
3 983
 
7.1%
9 837
 
6.0%
5 634
 
4.6%
6 623
 
4.5%
4 523
 
3.8%
Other values (5) 1135
8.2%
Latin
ValueCountFrequency (%)
Y 17
44.7%
Z 17
44.7%
C 3
 
7.9%
G 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13929
62.4%
Hangul 8404
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2582
18.5%
2 2488
17.9%
1 1526
11.0%
1450
10.4%
- 1110
8.0%
3 983
 
7.1%
9 837
 
6.0%
5 634
 
4.6%
6 623
 
4.5%
4 523
 
3.8%
Other values (9) 1173
8.4%
Hangul
ValueCountFrequency (%)
777
 
9.2%
746
 
8.9%
742
 
8.8%
677
 
8.1%
677
 
8.1%
664
 
7.9%
633
 
7.5%
578
 
6.9%
578
 
6.9%
185
 
2.2%
Other values (90) 2147
25.5%
Distinct979
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-05-18T05:31:00.403920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length24.953629
Min length6

Characters and Unicode

Total characters37131
Distinct characters518
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique720 ?
Unique (%)48.4%

Sample

1st row상수원영향권 지방도 비점오염저감시설 설치공사 침투도랑(A-3, C) 구매
2nd row상수원영향권 지방도 비점오염저감시설 설치공사 식물재배화분(C,D) 구매
3rd row안성대로 교통정보 수집용 노후CCTV 교체(구매설치)
4th row2024년 유용미생물 생산 및 검사 재료 구입(1차)
5th row경기도북부동물위생시험소 가공축산물 안전성검사 장비 구입 소액수의 견적제출
ValueCountFrequency (%)
구입 514
 
7.1%
구매 404
 
5.6%
관급자재 149
 
2.1%
139
 
1.9%
112
 
1.6%
2020년 104
 
1.4%
견적제출 103
 
1.4%
건설공사 74
 
1.0%
2019년 72
 
1.0%
물품 69
 
1.0%
Other values (1596) 5475
75.9%
2024-05-18T05:31:01.337147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5730
 
15.4%
1668
 
4.5%
) 861
 
2.3%
( 861
 
2.3%
698
 
1.9%
676
 
1.8%
654
 
1.8%
642
 
1.7%
2 602
 
1.6%
601
 
1.6%
Other values (508) 24138
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27214
73.3%
Space Separator 5730
 
15.4%
Decimal Number 1827
 
4.9%
Close Punctuation 878
 
2.4%
Open Punctuation 878
 
2.4%
Uppercase Letter 294
 
0.8%
Other Punctuation 111
 
0.3%
Dash Punctuation 87
 
0.2%
Math Symbol 65
 
0.2%
Lowercase Letter 33
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1668
 
6.1%
698
 
2.6%
676
 
2.5%
654
 
2.4%
642
 
2.4%
601
 
2.2%
592
 
2.2%
525
 
1.9%
513
 
1.9%
510
 
1.9%
Other values (452) 20135
74.0%
Uppercase Letter
ValueCountFrequency (%)
C 41
13.9%
P 37
12.6%
A 31
10.5%
S 29
9.9%
I 18
 
6.1%
H 17
 
5.8%
L 17
 
5.8%
M 12
 
4.1%
D 12
 
4.1%
T 11
 
3.7%
Other values (10) 69
23.5%
Lowercase Letter
ValueCountFrequency (%)
e 7
21.2%
r 4
12.1%
o 4
12.1%
a 3
9.1%
w 3
9.1%
f 3
9.1%
t 3
9.1%
m 3
9.1%
g 1
 
3.0%
c 1
 
3.0%
Decimal Number
ValueCountFrequency (%)
2 602
33.0%
0 431
23.6%
1 221
 
12.1%
3 149
 
8.2%
9 131
 
7.2%
5 119
 
6.5%
4 106
 
5.8%
6 33
 
1.8%
8 21
 
1.1%
7 14
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 71
64.0%
· 22
 
19.8%
/ 9
 
8.1%
. 8
 
7.2%
: 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 861
98.1%
] 11
 
1.3%
6
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 861
98.1%
[ 11
 
1.3%
6
 
0.7%
Space Separator
ValueCountFrequency (%)
5730
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Math Symbol
ValueCountFrequency (%)
~ 65
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27214
73.3%
Common 9590
 
25.8%
Latin 327
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1668
 
6.1%
698
 
2.6%
676
 
2.5%
654
 
2.4%
642
 
2.4%
601
 
2.2%
592
 
2.2%
525
 
1.9%
513
 
1.9%
510
 
1.9%
Other values (452) 20135
74.0%
Latin
ValueCountFrequency (%)
C 41
12.5%
P 37
 
11.3%
A 31
 
9.5%
S 29
 
8.9%
I 18
 
5.5%
H 17
 
5.2%
L 17
 
5.2%
M 12
 
3.7%
D 12
 
3.7%
T 11
 
3.4%
Other values (21) 102
31.2%
Common
ValueCountFrequency (%)
5730
59.7%
) 861
 
9.0%
( 861
 
9.0%
2 602
 
6.3%
0 431
 
4.5%
1 221
 
2.3%
3 149
 
1.6%
9 131
 
1.4%
5 119
 
1.2%
4 106
 
1.1%
Other values (15) 379
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27214
73.3%
ASCII 9883
 
26.6%
None 34
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5730
58.0%
) 861
 
8.7%
( 861
 
8.7%
2 602
 
6.1%
0 431
 
4.4%
1 221
 
2.2%
3 149
 
1.5%
9 131
 
1.3%
5 119
 
1.2%
4 106
 
1.1%
Other values (43) 672
 
6.8%
Hangul
ValueCountFrequency (%)
1668
 
6.1%
698
 
2.6%
676
 
2.5%
654
 
2.4%
642
 
2.4%
601
 
2.2%
592
 
2.2%
525
 
1.9%
513
 
1.9%
510
 
1.9%
Other values (452) 20135
74.0%
None
ValueCountFrequency (%)
· 22
64.7%
6
 
17.6%
6
 
17.6%

공고기관명
Categorical

Distinct37
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
경기도
402 
조달청 인천지방조달청
195 
경기도청 북부청사
164 
경기도 소방재난본부
128 
경기도 경기도농업기술원
120 
Other values (32)
479 

Length

Max length19
Median length14
Mean length9.1008065
Min length3

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st row조달청 인천지방조달청
2nd row조달청 인천지방조달청
3rd row경기도
4th row경기도 경기도동물위생시험소
5th row경기도 경기도북부동물위생시험소

Common Values

ValueCountFrequency (%)
경기도 402
27.0%
조달청 인천지방조달청 195
13.1%
경기도청 북부청사 164
11.0%
경기도 소방재난본부 128
 
8.6%
경기도 경기도농업기술원 120
 
8.1%
조달청 서울지방조달청 72
 
4.8%
경기도 경기도동물위생시험소 70
 
4.7%
경기도 경기도보건환경연구원 53
 
3.6%
경기도 경기도북부동물위생시험소 52
 
3.5%
경기도 경기도건설본부 45
 
3.0%
Other values (27) 187
12.6%

Length

2024-05-18T05:31:01.772991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 1051
40.9%
조달청 270
 
10.5%
인천지방조달청 195
 
7.6%
경기도청 164
 
6.4%
북부청사 164
 
6.4%
소방재난본부 128
 
5.0%
경기도농업기술원 120
 
4.7%
서울지방조달청 72
 
2.8%
경기도동물위생시험소 70
 
2.7%
경기도보건환경연구원 56
 
2.2%
Other values (28) 281
 
10.9%

수요기관명
Categorical

Distinct35
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
경기도
215 
경기도 소방재난본부
197 
경기도청 북부청사
195 
경기도 경기도건설본부
167 
경기도 경기도농업기술원
154 
Other values (30)
560 

Length

Max length19
Median length13
Mean length10.372984
Min length3

Unique

Unique5 ?
Unique (%)0.3%

Sample

1st row경기도 경기도건설본부
2nd row경기도 경기도건설본부
3rd row경기도
4th row경기도 경기도동물위생시험소
5th row경기도 경기도북부동물위생시험소

Common Values

ValueCountFrequency (%)
경기도 215
14.4%
경기도 소방재난본부 197
13.2%
경기도청 북부청사 195
13.1%
경기도 경기도건설본부 167
11.2%
경기도 경기도농업기술원 154
10.3%
경기도 경기도동물위생시험소 136
9.1%
경기도 경기도보건환경연구원 100
6.7%
경기도 경기도축산진흥센터 54
 
3.6%
경기도 경기도북부동물위생시험소 52
 
3.5%
경기도 경기도해양수산자원연구소 31
 
2.1%
Other values (25) 187
12.6%

Length

2024-05-18T05:31:02.254608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 1291
46.7%
소방재난본부 197
 
7.1%
경기도청 195
 
7.1%
북부청사 195
 
7.1%
경기도건설본부 167
 
6.0%
경기도농업기술원 154
 
5.6%
경기도동물위생시험소 136
 
4.9%
경기도보건환경연구원 106
 
3.8%
경기도축산진흥센터 54
 
2.0%
경기도북부동물위생시험소 52
 
1.9%
Other values (26) 218
 
7.9%

입찰방식명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
전자입찰
1397 
전자시담
 
89
전자시담(다자간)
 
1
직찰/우편/상시
 
1

Length

Max length9
Median length4
Mean length4.0060484
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row전자시담
2nd row전자시담
3rd row전자입찰
4th row전자입찰
5th row전자입찰

Common Values

ValueCountFrequency (%)
전자입찰 1397
93.9%
전자시담 89
 
6.0%
전자시담(다자간) 1
 
0.1%
직찰/우편/상시 1
 
0.1%

Length

2024-05-18T05:31:02.643377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:02.975564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자입찰 1397
93.9%
전자시담 89
 
6.0%
전자시담(다자간 1
 
0.1%
직찰/우편/상시 1
 
0.1%
Distinct25
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
제한(총액)
609 
수의(총액)소액-견적입찰(2인 이상 견적 제출)
358 
수의(총액)소액수의
141 
일반(총액)
77 
제한(단가)
68 
Other values (20)
235 

Length

Max length26
Median length6
Mean length11.953629
Min length6

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row수의(총액)특허제품
2nd row수의(총액)특허제품
3rd row제한(총액)
4th row수의(총액)소액-견적입찰(2인 이상 견적 제출)
5th row수의(총액)소액-견적입찰(2인 이상 견적 제출)

Common Values

ValueCountFrequency (%)
제한(총액) 609
40.9%
수의(총액)소액-견적입찰(2인 이상 견적 제출) 358
24.1%
수의(총액)소액수의 141
 
9.5%
일반(총액) 77
 
5.2%
제한(단가) 68
 
4.6%
일반(총액)규격가격동시 43
 
2.9%
수의(총액)특허제품 42
 
2.8%
제한(총액)규격가격동시 38
 
2.6%
수의(총액) 27
 
1.8%
지명(총액) 27
 
1.8%
Other values (15) 58
 
3.9%

Length

2024-05-18T05:31:03.335686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제한(총액 609
23.5%
이상 367
14.1%
견적 367
14.1%
제출 367
14.1%
수의(총액)소액-견적입찰(2인 358
13.8%
수의(총액)소액수의 141
 
5.4%
일반(총액 77
 
3.0%
제한(단가 68
 
2.6%
일반(총액)규격가격동시 43
 
1.7%
수의(총액)특허제품 42
 
1.6%
Other values (19) 155
 
6.0%
Distinct135
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-05-18T05:31:03.940897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0853495
Min length3

Characters and Unicode

Total characters4591
Distinct characters120
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

Unique28 ?
Unique (%)1.9%

Sample

1st row이근수
2nd row이근수
3rd row김유나
4th row서지혜
5th row배은직
ValueCountFrequency (%)
지재금 85
 
5.7%
곽동순 83
 
5.6%
이현한 78
 
5.2%
이성열 67
 
4.5%
어현수 62
 
4.2%
홍세진 57
 
3.8%
황선애 54
 
3.6%
김진경 41
 
2.8%
심재한 40
 
2.7%
김효주 40
 
2.7%
Other values (125) 881
59.2%
2024-05-18T05:31:04.988336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
336
 
7.3%
243
 
5.3%
231
 
5.0%
193
 
4.2%
153
 
3.3%
150
 
3.3%
141
 
3.1%
119
 
2.6%
110
 
2.4%
108
 
2.4%
Other values (110) 2807
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4591
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
336
 
7.3%
243
 
5.3%
231
 
5.0%
193
 
4.2%
153
 
3.3%
150
 
3.3%
141
 
3.1%
119
 
2.6%
110
 
2.4%
108
 
2.4%
Other values (110) 2807
61.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4591
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
336
 
7.3%
243
 
5.3%
231
 
5.0%
193
 
4.2%
153
 
3.3%
150
 
3.3%
141
 
3.1%
119
 
2.6%
110
 
2.4%
108
 
2.4%
Other values (110) 2807
61.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4591
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
336
 
7.3%
243
 
5.3%
231
 
5.0%
193
 
4.2%
153
 
3.3%
150
 
3.3%
141
 
3.1%
119
 
2.6%
110
 
2.4%
108
 
2.4%
Other values (110) 2807
61.1%
Distinct501
Distinct (%)33.7%
Missing1
Missing (%)0.1%
Memory size11.8 KiB
Minimum2019-01-13 18:00:00
Maximum2024-05-28 18:00:00
2024-05-18T05:31:05.397135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:05.866070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공동수급협정서접수방식
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
공고서참조
1453 
전자문서
 
35

Length

Max length5
Median length5
Mean length4.9764785
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공고서참조 1453
97.6%
전자문서 35
 
2.4%

Length

2024-05-18T05:31:06.282773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:06.480149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공고서참조 1453
97.6%
전자문서 35
 
2.4%
Distinct35
Distinct (%)100.0%
Missing1453
Missing (%)97.6%
Memory size11.8 KiB
Minimum2019-02-13 18:00:00
Maximum2021-04-14 18:00:00
2024-05-18T05:31:06.758561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:07.170443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1486 
True
 
2
ValueCountFrequency (%)
False 1486
99.9%
True 2
 
0.1%
2024-05-18T05:31:07.530640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct676
Distinct (%)45.5%
Missing1
Missing (%)0.1%
Memory size11.8 KiB
Minimum2019-01-10 10:00:00
Maximum2024-05-29 10:00:00
2024-05-18T05:31:07.742662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:08.140581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct687
Distinct (%)46.2%
Missing1
Missing (%)0.1%
Memory size11.8 KiB
Minimum2019-01-14 10:00:00
Maximum2024-05-29 11:00:00
2024-05-18T05:31:08.560740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:08.912079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct705
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2019-01-14 11:00:00
Maximum2024-05-29 12:00:00
2024-05-18T05:31:09.173029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:09.499483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공고규격서URL1
Text

MISSING 

Distinct1159
Distinct (%)88.6%
Missing180
Missing (%)12.1%
Memory size11.8 KiB
2024-05-18T05:31:10.239185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.125382
Min length93

Characters and Unicode

Total characters121808
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1089 ?
Unique (%)83.3%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240447696::00::2::1
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240441364::00::2::1
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431373::00::1::1
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240430381::00::1::1
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::1::1
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190630496::00::1::1 9
 
0.7%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200342632::00::1::1 6
 
0.5%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200414908::00::1::1 6
 
0.5%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200534698::00::1::1 6
 
0.5%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201031578::00::1::1 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201104265::00::1::1 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201110004::00::1::1 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190449669::00::1::1 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200425589::00::1::1 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190639226::00::1::1 4
 
0.3%
Other values (1149) 1252
95.7%
2024-05-18T05:31:11.319433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 10464
 
8.6%
0 7643
 
6.3%
/ 6540
 
5.4%
o 6540
 
5.4%
e 6540
 
5.4%
1 5685
 
4.7%
w 5232
 
4.3%
. 5232
 
4.3%
l 5232
 
4.3%
2 4413
 
3.6%
Other values (33) 58287
47.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 56408
46.3%
Decimal Number 26160
21.5%
Other Punctuation 24852
20.4%
Uppercase Letter 11772
 
9.7%
Math Symbol 2616
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 6540
11.6%
e 6540
11.6%
w 5232
 
9.3%
l 5232
 
9.3%
i 3924
 
7.0%
f 3924
 
7.0%
t 2616
 
4.6%
k 2616
 
4.6%
a 2616
 
4.6%
g 2616
 
4.6%
Other values (9) 14552
25.8%
Decimal Number
ValueCountFrequency (%)
0 7643
29.2%
1 5685
21.7%
2 4413
16.9%
8 3161
12.1%
9 1205
 
4.6%
3 1138
 
4.4%
4 972
 
3.7%
5 714
 
2.7%
6 646
 
2.5%
7 583
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
T 2616
22.2%
F 1308
11.1%
Y 1308
11.1%
O 1308
11.1%
S 1308
11.1%
I 1308
11.1%
D 1308
11.1%
N 1308
11.1%
Other Punctuation
ValueCountFrequency (%)
: 10464
42.1%
/ 6540
26.3%
. 5232
21.1%
& 1308
 
5.3%
? 1308
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 2616
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 68180
56.0%
Common 53628
44.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 6540
 
9.6%
e 6540
 
9.6%
w 5232
 
7.7%
l 5232
 
7.7%
i 3924
 
5.8%
f 3924
 
5.8%
T 2616
 
3.8%
t 2616
 
3.8%
k 2616
 
3.8%
a 2616
 
3.8%
Other values (17) 26324
38.6%
Common
ValueCountFrequency (%)
: 10464
19.5%
0 7643
14.3%
/ 6540
12.2%
1 5685
10.6%
. 5232
9.8%
2 4413
8.2%
8 3161
 
5.9%
= 2616
 
4.9%
& 1308
 
2.4%
? 1308
 
2.4%
Other values (6) 5258
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 10464
 
8.6%
0 7643
 
6.3%
/ 6540
 
5.4%
o 6540
 
5.4%
e 6540
 
5.4%
1 5685
 
4.7%
w 5232
 
4.3%
. 5232
 
4.3%
l 5232
 
4.3%
2 4413
 
3.6%
Other values (33) 58287
47.9%

공고규격서URL2
Text

MISSING 

Distinct1102
Distinct (%)88.6%
Missing244
Missing (%)16.4%
Memory size11.8 KiB
2024-05-18T05:31:11.971712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.125402
Min length93

Characters and Unicode

Total characters115848
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1036 ?
Unique (%)83.3%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431373::00::1::4
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240430381::00::2::2
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::2
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::2
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::2
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190630496::00::2::2 9
 
0.7%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200534698::00::2::2 6
 
0.5%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200342632::00::2::2 6
 
0.5%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200414908::00::2::2 6
 
0.5%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190449669::00::1::4 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201031578::00::2::2 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201104265::00::2::2 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200425589::00::2::2 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201110004::00::2::2 5
 
0.4%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200519830::00::2::2 4
 
0.3%
Other values (1092) 1188
95.5%
2024-05-18T05:31:12.854867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 9952
 
8.6%
0 7275
 
6.3%
2 6387
 
5.5%
/ 6220
 
5.4%
o 6220
 
5.4%
e 6220
 
5.4%
w 4976
 
4.3%
. 4976
 
4.3%
l 4976
 
4.3%
i 3732
 
3.2%
Other values (33) 54914
47.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 53648
46.3%
Decimal Number 24880
21.5%
Other Punctuation 23636
20.4%
Uppercase Letter 11196
 
9.7%
Math Symbol 2488
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 6220
11.6%
e 6220
11.6%
w 4976
 
9.3%
l 4976
 
9.3%
i 3732
 
7.0%
f 3732
 
7.0%
t 2488
 
4.6%
k 2488
 
4.6%
a 2488
 
4.6%
g 2488
 
4.6%
Other values (9) 13840
25.8%
Decimal Number
ValueCountFrequency (%)
0 7275
29.2%
2 6387
25.7%
1 3223
13.0%
8 3012
12.1%
9 1138
 
4.6%
3 1100
 
4.4%
4 920
 
3.7%
5 672
 
2.7%
6 605
 
2.4%
7 548
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
T 2488
22.2%
F 1244
11.1%
Y 1244
11.1%
O 1244
11.1%
S 1244
11.1%
I 1244
11.1%
D 1244
11.1%
N 1244
11.1%
Other Punctuation
ValueCountFrequency (%)
: 9952
42.1%
/ 6220
26.3%
. 4976
21.1%
& 1244
 
5.3%
? 1244
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 2488
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 64844
56.0%
Common 51004
44.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 6220
 
9.6%
e 6220
 
9.6%
w 4976
 
7.7%
l 4976
 
7.7%
i 3732
 
5.8%
f 3732
 
5.8%
T 2488
 
3.8%
t 2488
 
3.8%
k 2488
 
3.8%
a 2488
 
3.8%
Other values (17) 25036
38.6%
Common
ValueCountFrequency (%)
: 9952
19.5%
0 7275
14.3%
2 6387
12.5%
/ 6220
12.2%
. 4976
9.8%
1 3223
 
6.3%
8 3012
 
5.9%
= 2488
 
4.9%
& 1244
 
2.4%
? 1244
 
2.4%
Other values (6) 4983
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 9952
 
8.6%
0 7275
 
6.3%
2 6387
 
5.5%
/ 6220
 
5.4%
o 6220
 
5.4%
e 6220
 
5.4%
w 4976
 
4.3%
. 4976
 
4.3%
l 4976
 
4.3%
i 3732
 
3.2%
Other values (33) 54914
47.4%

공고규격서URL3
Text

MISSING 

Distinct377
Distinct (%)79.7%
Missing1015
Missing (%)68.2%
Memory size11.8 KiB
2024-05-18T05:31:13.496549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.118393
Min length93

Characters and Unicode

Total characters44045
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)70.8%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431373::00::2::2
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::3
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::3
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::3
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::3
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190630496::00::2::3 9
 
1.9%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200342632::00::2::3 6
 
1.3%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200534698::00::2::3 6
 
1.3%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200414908::00::2::3 6
 
1.3%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190449669::00::2::2 5
 
1.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201110004::00::2::3 5
 
1.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201104265::00::2::3 5
 
1.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201031578::00::2::3 5
 
1.1%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20240343357::00::2::3 4
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200519830::00::2::3 4
 
0.8%
Other values (367) 418
88.4%
2024-05-18T05:31:14.603913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 3784
 
8.6%
0 2822
 
6.4%
e 2365
 
5.4%
/ 2365
 
5.4%
o 2365
 
5.4%
2 2082
 
4.7%
w 1892
 
4.3%
. 1892
 
4.3%
l 1892
 
4.3%
i 1419
 
3.2%
Other values (33) 21167
48.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20395
46.3%
Decimal Number 9460
21.5%
Other Punctuation 8987
20.4%
Uppercase Letter 4257
 
9.7%
Math Symbol 946
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2365
11.6%
o 2365
11.6%
w 1892
 
9.3%
l 1892
 
9.3%
i 1419
 
7.0%
f 1419
 
7.0%
t 946
 
4.6%
d 946
 
4.6%
k 946
 
4.6%
g 946
 
4.6%
Other values (9) 5259
25.8%
Decimal Number
ValueCountFrequency (%)
0 2822
29.8%
2 2082
22.0%
1 1189
12.6%
8 1150
12.2%
3 807
 
8.5%
9 371
 
3.9%
4 366
 
3.9%
5 247
 
2.6%
6 233
 
2.5%
7 193
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
T 946
22.2%
Y 473
11.1%
S 473
11.1%
I 473
11.1%
F 473
11.1%
D 473
11.1%
O 473
11.1%
N 473
11.1%
Other Punctuation
ValueCountFrequency (%)
: 3784
42.1%
/ 2365
26.3%
. 1892
21.1%
& 473
 
5.3%
? 473
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 946
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24652
56.0%
Common 19393
44.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2365
 
9.6%
o 2365
 
9.6%
w 1892
 
7.7%
l 1892
 
7.7%
i 1419
 
5.8%
f 1419
 
5.8%
t 946
 
3.8%
T 946
 
3.8%
d 946
 
3.8%
k 946
 
3.8%
Other values (17) 9516
38.6%
Common
ValueCountFrequency (%)
: 3784
19.5%
0 2822
14.6%
/ 2365
12.2%
2 2082
10.7%
. 1892
9.8%
1 1189
 
6.1%
8 1150
 
5.9%
= 946
 
4.9%
3 807
 
4.2%
& 473
 
2.4%
Other values (6) 1883
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44045
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 3784
 
8.6%
0 2822
 
6.4%
e 2365
 
5.4%
/ 2365
 
5.4%
o 2365
 
5.4%
2 2082
 
4.7%
w 1892
 
4.3%
. 1892
 
4.3%
l 1892
 
4.3%
i 1419
 
3.2%
Other values (33) 21167
48.1%

공고규격서URL4
Text

MISSING 

Distinct78
Distinct (%)78.8%
Missing1389
Missing (%)93.3%
Memory size11.8 KiB
2024-05-18T05:31:15.203830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.161616
Min length93

Characters and Unicode

Total characters9223
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)66.7%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431373::00::2::3
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::4
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::4
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::4
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::4
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190449669::00::2::3 5
 
5.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200519830::00::2::4 4
 
4.0%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20240343357::00::2::4 4
 
4.0%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200342614::00::2::4 3
 
3.0%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200321909::00::8::2 3
 
3.0%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200342780::00::2::4 2
 
2.0%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20191007803::00::2::4 2
 
2.0%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200727393::00::2::5 2
 
2.0%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200621710::00::2::4 2
 
2.0%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200700758::00::2::4 2
 
2.0%
Other values (68) 70
70.7%
2024-05-18T05:31:16.137895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 792
 
8.6%
0 588
 
6.4%
e 495
 
5.4%
/ 495
 
5.4%
o 495
 
5.4%
2 429
 
4.7%
w 396
 
4.3%
. 396
 
4.3%
l 396
 
4.3%
i 297
 
3.2%
Other values (33) 4444
48.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4273
46.3%
Decimal Number 1980
21.5%
Other Punctuation 1881
20.4%
Uppercase Letter 891
 
9.7%
Math Symbol 198
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 495
11.6%
o 495
11.6%
w 396
 
9.3%
l 396
 
9.3%
i 297
 
7.0%
f 297
 
7.0%
a 198
 
4.6%
t 198
 
4.6%
d 198
 
4.6%
k 198
 
4.6%
Other values (9) 1105
25.9%
Decimal Number
ValueCountFrequency (%)
0 588
29.7%
2 429
21.7%
1 250
12.6%
8 245
12.4%
4 156
 
7.9%
3 103
 
5.2%
9 71
 
3.6%
7 49
 
2.5%
6 48
 
2.4%
5 41
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
T 198
22.2%
Y 99
11.1%
S 99
11.1%
I 99
11.1%
F 99
11.1%
D 99
11.1%
O 99
11.1%
N 99
11.1%
Other Punctuation
ValueCountFrequency (%)
: 792
42.1%
/ 495
26.3%
. 396
21.1%
& 99
 
5.3%
? 99
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5164
56.0%
Common 4059
44.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 495
 
9.6%
o 495
 
9.6%
w 396
 
7.7%
l 396
 
7.7%
i 297
 
5.8%
f 297
 
5.8%
a 198
 
3.8%
t 198
 
3.8%
d 198
 
3.8%
T 198
 
3.8%
Other values (17) 1996
38.7%
Common
ValueCountFrequency (%)
: 792
19.5%
0 588
14.5%
/ 495
12.2%
2 429
10.6%
. 396
9.8%
1 250
 
6.2%
8 245
 
6.0%
= 198
 
4.9%
4 156
 
3.8%
3 103
 
2.5%
Other values (6) 407
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 792
 
8.6%
0 588
 
6.4%
e 495
 
5.4%
/ 495
 
5.4%
o 495
 
5.4%
2 429
 
4.7%
w 396
 
4.3%
. 396
 
4.3%
l 396
 
4.3%
i 297
 
3.2%
Other values (33) 4444
48.2%

공고규격서URL5
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing1475
Missing (%)99.1%
Memory size11.8 KiB
2024-05-18T05:31:16.730030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.461538
Min length93

Characters and Unicode

Total characters1215
Distinct characters43
Distinct categories5 ?
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 (%)100.0%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240346285::00::2::4
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20231241541::00::8::5
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20230500401::00::2::5
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20230503150::00::8::2
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20230416256::01::8::5
ValueCountFrequency (%)
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20240346285::00::2::4 1
 
7.7%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20231241541::00::8::5 1
 
7.7%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20230500401::00::2::5 1
 
7.7%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20230503150::00::8::2 1
 
7.7%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20230416256::01::8::5 1
 
7.7%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20230416256::00::8::5 1
 
7.7%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200130248::00::8::5 1
 
7.7%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190720250::00::1::5 1
 
7.7%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190702851::00::2::3 1
 
7.7%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190538886::00::8::6 1
 
7.7%
Other values (3) 3
23.1%
2024-05-18T05:31:17.533053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 104
 
8.6%
0 76
 
6.3%
e 65
 
5.3%
o 65
 
5.3%
/ 65
 
5.3%
. 52
 
4.3%
l 52
 
4.3%
w 52
 
4.3%
2 50
 
4.1%
i 39
 
3.2%
Other values (33) 595
49.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 565
46.5%
Decimal Number 260
21.4%
Other Punctuation 247
20.3%
Uppercase Letter 117
 
9.6%
Math Symbol 26
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 65
11.5%
o 65
11.5%
l 52
 
9.2%
w 52
 
9.2%
i 39
 
6.9%
f 39
 
6.9%
t 26
 
4.6%
g 26
 
4.6%
p 26
 
4.6%
a 26
 
4.6%
Other values (9) 149
26.4%
Decimal Number
ValueCountFrequency (%)
0 76
29.2%
2 50
19.2%
8 39
15.0%
1 31
11.9%
5 20
 
7.7%
3 13
 
5.0%
4 11
 
4.2%
6 9
 
3.5%
9 8
 
3.1%
7 3
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
T 26
22.2%
Y 13
11.1%
S 13
11.1%
I 13
11.1%
F 13
11.1%
O 13
11.1%
N 13
11.1%
D 13
11.1%
Other Punctuation
ValueCountFrequency (%)
: 104
42.1%
/ 65
26.3%
. 52
21.1%
& 13
 
5.3%
? 13
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 682
56.1%
Common 533
43.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 65
 
9.5%
o 65
 
9.5%
l 52
 
7.6%
w 52
 
7.6%
i 39
 
5.7%
f 39
 
5.7%
t 26
 
3.8%
g 26
 
3.8%
p 26
 
3.8%
T 26
 
3.8%
Other values (17) 266
39.0%
Common
ValueCountFrequency (%)
: 104
19.5%
0 76
14.3%
/ 65
12.2%
. 52
9.8%
2 50
9.4%
8 39
 
7.3%
1 31
 
5.8%
= 26
 
4.9%
5 20
 
3.8%
& 13
 
2.4%
Other values (6) 57
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1215
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 104
 
8.6%
0 76
 
6.3%
e 65
 
5.3%
o 65
 
5.3%
/ 65
 
5.3%
. 52
 
4.3%
l 52
 
4.3%
w 52
 
4.3%
2 50
 
4.1%
i 39
 
3.2%
Other values (33) 595
49.0%

공고규격서URL6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1487
Missing (%)99.9%
Memory size11.8 KiB
2024-05-18T05:31:18.023355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length93
Mean length93
Min length93

Characters and Unicode

Total characters93
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowhttp://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190337959::00::2::6
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190337959::00::2::6 1
100.0%
2024-05-18T05:31:18.743805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 8
 
8.6%
e 5
 
5.4%
/ 5
 
5.4%
o 5
 
5.4%
0 5
 
5.4%
w 4
 
4.3%
. 4
 
4.3%
l 4
 
4.3%
9 3
 
3.2%
2 3
 
3.2%
Other values (32) 47
50.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 43
46.2%
Decimal Number 20
21.5%
Other Punctuation 19
20.4%
Uppercase Letter 9
 
9.7%
Math Symbol 2
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5
11.6%
o 5
11.6%
w 4
 
9.3%
l 4
 
9.3%
i 3
 
7.0%
f 3
 
7.0%
a 2
 
4.7%
t 2
 
4.7%
k 2
 
4.7%
g 2
 
4.7%
Other values (9) 11
25.6%
Decimal Number
ValueCountFrequency (%)
0 5
25.0%
9 3
15.0%
2 3
15.0%
1 2
 
10.0%
3 2
 
10.0%
8 2
 
10.0%
7 1
 
5.0%
5 1
 
5.0%
6 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
S 1
11.1%
F 1
11.1%
Y 1
11.1%
D 1
11.1%
I 1
11.1%
O 1
11.1%
N 1
11.1%
Other Punctuation
ValueCountFrequency (%)
: 8
42.1%
/ 5
26.3%
. 4
21.1%
& 1
 
5.3%
? 1
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 52
55.9%
Common 41
44.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5
 
9.6%
o 5
 
9.6%
w 4
 
7.7%
l 4
 
7.7%
i 3
 
5.8%
f 3
 
5.8%
a 2
 
3.8%
t 2
 
3.8%
T 2
 
3.8%
k 2
 
3.8%
Other values (17) 20
38.5%
Common
ValueCountFrequency (%)
: 8
19.5%
/ 5
12.2%
0 5
12.2%
. 4
9.8%
9 3
 
7.3%
2 3
 
7.3%
1 2
 
4.9%
3 2
 
4.9%
= 2
 
4.9%
8 2
 
4.9%
Other values (5) 5
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 8
 
8.6%
e 5
 
5.4%
/ 5
 
5.4%
o 5
 
5.4%
0 5
 
5.4%
w 4
 
4.3%
. 4
 
4.3%
l 4
 
4.3%
9 3
 
3.2%
2 3
 
3.2%
Other values (32) 47
50.5%

공고규격서URL7
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1487
Missing (%)99.9%
Memory size11.8 KiB
2024-05-18T05:31:19.266593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length93
Mean length93
Min length93

Characters and Unicode

Total characters93
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowhttp://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190337959::00::2::7
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190337959::00::2::7 1
100.0%
2024-05-18T05:31:20.165700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 8
 
8.6%
e 5
 
5.4%
0 5
 
5.4%
/ 5
 
5.4%
o 5
 
5.4%
. 4
 
4.3%
l 4
 
4.3%
w 4
 
4.3%
9 3
 
3.2%
i 3
 
3.2%
Other values (31) 47
50.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 43
46.2%
Decimal Number 20
21.5%
Other Punctuation 19
20.4%
Uppercase Letter 9
 
9.7%
Math Symbol 2
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5
11.6%
o 5
11.6%
l 4
 
9.3%
w 4
 
9.3%
i 3
 
7.0%
f 3
 
7.0%
d 2
 
4.7%
a 2
 
4.7%
t 2
 
4.7%
k 2
 
4.7%
Other values (9) 11
25.6%
Decimal Number
ValueCountFrequency (%)
0 5
25.0%
9 3
15.0%
2 3
15.0%
1 2
 
10.0%
8 2
 
10.0%
3 2
 
10.0%
7 2
 
10.0%
5 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
I 1
11.1%
S 1
11.1%
Y 1
11.1%
F 1
11.1%
O 1
11.1%
N 1
11.1%
D 1
11.1%
Other Punctuation
ValueCountFrequency (%)
: 8
42.1%
/ 5
26.3%
. 4
21.1%
& 1
 
5.3%
? 1
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 52
55.9%
Common 41
44.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5
 
9.6%
o 5
 
9.6%
l 4
 
7.7%
w 4
 
7.7%
i 3
 
5.8%
f 3
 
5.8%
T 2
 
3.8%
d 2
 
3.8%
a 2
 
3.8%
t 2
 
3.8%
Other values (17) 20
38.5%
Common
ValueCountFrequency (%)
: 8
19.5%
0 5
12.2%
/ 5
12.2%
. 4
9.8%
9 3
 
7.3%
2 3
 
7.3%
= 2
 
4.9%
1 2
 
4.9%
8 2
 
4.9%
3 2
 
4.9%
Other values (4) 5
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 8
 
8.6%
e 5
 
5.4%
0 5
 
5.4%
/ 5
 
5.4%
o 5
 
5.4%
. 4
 
4.3%
l 4
 
4.3%
w 4
 
4.3%
9 3
 
3.2%
i 3
 
3.2%
Other values (31) 47
50.5%
Distinct1159
Distinct (%)88.6%
Missing180
Missing (%)12.1%
Memory size11.8 KiB
2024-05-18T05:31:20.559745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length75
Mean length52.073394
Min length36

Characters and Unicode

Total characters68112
Distinct characters468
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1089 ?
Unique (%)83.3%

Sample

1st row20240447696-00_1714460717587_규격서 1부..zip
2nd row20240441364-00_1714027382540_규격서 1부..zip
3rd row20240431373-00_1713432971437_입찰공고문_안성대로 교통정보 수집용 노후CCTV 교체(구매설치).hwpx
4th row20240430381-00_1713416902675_1. 소액수의 공고문[2024년 유용미생물 생산 및 검사 재료 구입(1차)].hwpx
5th row20240343357-00_1713416946483_공고문(가공축산물 안전성검사 장비 구입).hwpx
ValueCountFrequency (%)
구입).hwp 121
 
3.2%
58
 
1.5%
구입.hwp 50
 
1.3%
구매).hwp 50
 
1.3%
47
 
1.2%
소모품 37
 
1.0%
재료 28
 
0.7%
공고문.hwp 28
 
0.7%
자산취득 25
 
0.7%
검사 25
 
0.7%
Other values (1951) 3301
87.6%
2024-05-18T05:31:21.357796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8267
 
12.1%
1 4924
 
7.2%
2 4852
 
7.1%
5 3339
 
4.9%
_ 2817
 
4.1%
9 2668
 
3.9%
6 2510
 
3.7%
2466
 
3.6%
3 2447
 
3.6%
4 2366
 
3.5%
Other values (458) 31456
46.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 35717
52.4%
Other Letter 17598
25.8%
Lowercase Letter 4036
 
5.9%
Connector Punctuation 2817
 
4.1%
Space Separator 2466
 
3.6%
Other Punctuation 1628
 
2.4%
Dash Punctuation 1463
 
2.1%
Open Punctuation 1095
 
1.6%
Close Punctuation 1084
 
1.6%
Uppercase Letter 134
 
0.2%
Other values (2) 74
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1398
 
7.9%
1375
 
7.8%
981
 
5.6%
926
 
5.3%
638
 
3.6%
597
 
3.4%
354
 
2.0%
266
 
1.5%
257
 
1.5%
243
 
1.4%
Other values (395) 10563
60.0%
Uppercase Letter
ValueCountFrequency (%)
C 19
14.2%
P 19
14.2%
S 14
10.4%
L 11
8.2%
A 10
7.5%
H 9
 
6.7%
I 8
 
6.0%
E 7
 
5.2%
D 7
 
5.2%
V 6
 
4.5%
Other values (9) 24
17.9%
Lowercase Letter
ValueCountFrequency (%)
p 1305
32.3%
w 1285
31.8%
h 1284
31.8%
x 92
 
2.3%
z 12
 
0.3%
i 12
 
0.3%
f 10
 
0.2%
d 9
 
0.2%
l 4
 
0.1%
s 4
 
0.1%
Other values (8) 19
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 8267
23.1%
1 4924
13.8%
2 4852
13.6%
5 3339
9.3%
9 2668
 
7.5%
6 2510
 
7.0%
3 2447
 
6.9%
4 2366
 
6.6%
7 2176
 
6.1%
8 2168
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 1437
88.3%
, 184
 
11.3%
· 4
 
0.2%
; 1
 
0.1%
# 1
 
0.1%
& 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1008
92.1%
[ 87
 
7.9%
Close Punctuation
ValueCountFrequency (%)
) 997
92.0%
] 87
 
8.0%
Math Symbol
ValueCountFrequency (%)
+ 17
51.5%
~ 16
48.5%
Connector Punctuation
ValueCountFrequency (%)
_ 2817
100.0%
Space Separator
ValueCountFrequency (%)
2466
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1463
100.0%
Other Symbol
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46344
68.0%
Hangul 17598
 
25.8%
Latin 4170
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1398
 
7.9%
1375
 
7.8%
981
 
5.6%
926
 
5.3%
638
 
3.6%
597
 
3.4%
354
 
2.0%
266
 
1.5%
257
 
1.5%
243
 
1.4%
Other values (395) 10563
60.0%
Latin
ValueCountFrequency (%)
p 1305
31.3%
w 1285
30.8%
h 1284
30.8%
x 92
 
2.2%
C 19
 
0.5%
P 19
 
0.5%
S 14
 
0.3%
z 12
 
0.3%
i 12
 
0.3%
L 11
 
0.3%
Other values (27) 117
 
2.8%
Common
ValueCountFrequency (%)
0 8267
17.8%
1 4924
10.6%
2 4852
10.5%
5 3339
 
7.2%
_ 2817
 
6.1%
9 2668
 
5.8%
6 2510
 
5.4%
2466
 
5.3%
3 2447
 
5.3%
4 2366
 
5.1%
Other values (16) 9688
20.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50469
74.1%
Hangul 17585
 
25.8%
Misc Symbols 41
 
0.1%
Compat Jamo 13
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8267
16.4%
1 4924
 
9.8%
2 4852
 
9.6%
5 3339
 
6.6%
_ 2817
 
5.6%
9 2668
 
5.3%
6 2510
 
5.0%
2466
 
4.9%
3 2447
 
4.8%
4 2366
 
4.7%
Other values (51) 13813
27.4%
Hangul
ValueCountFrequency (%)
1398
 
7.9%
1375
 
7.8%
981
 
5.6%
926
 
5.3%
638
 
3.6%
597
 
3.4%
354
 
2.0%
266
 
1.5%
257
 
1.5%
243
 
1.4%
Other values (394) 10550
60.0%
Misc Symbols
ValueCountFrequency (%)
41
100.0%
Compat Jamo
ValueCountFrequency (%)
13
100.0%
None
ValueCountFrequency (%)
· 4
100.0%
Distinct1100
Distinct (%)88.4%
Missing244
Missing (%)16.4%
Memory size11.8 KiB
2024-05-18T05:31:21.715389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length72
Mean length46.892283
Min length36

Characters and Unicode

Total characters58334
Distinct characters456
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1032 ?
Unique (%)83.0%

Sample

1st row20240431373-00_1713432971443_상생결제_안내자료.pdf
2nd row20240430381-00_1713416902682_2. 세부내역서(유용미생물 생산 및 검사 재료).xlsx
3rd row20240343357-00_1713416946493_물품구매내역서(가공축산물 안전성검사 장비 구입).xlsx
4th row20240343357-00_1713416946493_물품구매내역서(가공축산물 안전성검사 장비 구입).xlsx
5th row20240343357-00_1713416946493_물품구매내역서(가공축산물 안전성검사 장비 구입).xlsx
ValueCountFrequency (%)
130
 
4.6%
규격서.hwp 60
 
2.1%
57
 
2.0%
등.zip 41
 
1.5%
특수조건.hwp 33
 
1.2%
시방서.hwp 33
 
1.2%
규격서 27
 
1.0%
장비 23
 
0.8%
구매 23
 
0.8%
입찰 19
 
0.7%
Other values (1644) 2363
84.1%
2024-05-18T05:31:22.632248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7689
 
13.2%
2 4528
 
7.8%
1 4527
 
7.8%
5 3223
 
5.5%
_ 2618
 
4.5%
9 2474
 
4.2%
6 2387
 
4.1%
3 2292
 
3.9%
4 2184
 
3.7%
7 2075
 
3.6%
Other values (446) 24337
41.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33430
57.3%
Other Letter 12419
 
21.3%
Lowercase Letter 4152
 
7.1%
Connector Punctuation 2618
 
4.5%
Space Separator 1568
 
2.7%
Other Punctuation 1365
 
2.3%
Dash Punctuation 1316
 
2.3%
Close Punctuation 653
 
1.1%
Open Punctuation 652
 
1.1%
Uppercase Letter 149
 
0.3%
Other values (2) 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1234
 
9.9%
628
 
5.1%
620
 
5.0%
433
 
3.5%
361
 
2.9%
349
 
2.8%
309
 
2.5%
308
 
2.5%
294
 
2.4%
232
 
1.9%
Other values (378) 7651
61.6%
Lowercase Letter
ValueCountFrequency (%)
p 888
21.4%
x 698
16.8%
w 679
16.4%
h 677
16.3%
l 362
8.7%
s 359
8.6%
i 151
 
3.6%
z 150
 
3.6%
f 62
 
1.5%
d 61
 
1.5%
Other values (13) 65
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
P 40
26.8%
C 37
24.8%
S 11
 
7.4%
W 6
 
4.0%
M 6
 
4.0%
R 5
 
3.4%
L 5
 
3.4%
V 5
 
3.4%
D 4
 
2.7%
H 4
 
2.7%
Other values (10) 26
17.4%
Decimal Number
ValueCountFrequency (%)
0 7689
23.0%
2 4528
13.5%
1 4527
13.5%
5 3223
9.6%
9 2474
 
7.4%
6 2387
 
7.1%
3 2292
 
6.9%
4 2184
 
6.5%
7 2075
 
6.2%
8 2051
 
6.1%
Other Punctuation
ValueCountFrequency (%)
. 1326
97.1%
, 37
 
2.7%
· 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 627
96.0%
] 25
 
3.8%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 626
96.0%
[ 25
 
3.8%
1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 7
63.6%
+ 4
36.4%
Connector Punctuation
ValueCountFrequency (%)
_ 2618
100.0%
Space Separator
ValueCountFrequency (%)
1568
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1316
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41614
71.3%
Hangul 12419
 
21.3%
Latin 4301
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1234
 
9.9%
628
 
5.1%
620
 
5.0%
433
 
3.5%
361
 
2.9%
349
 
2.8%
309
 
2.5%
308
 
2.5%
294
 
2.4%
232
 
1.9%
Other values (378) 7651
61.6%
Latin
ValueCountFrequency (%)
p 888
20.6%
x 698
16.2%
w 679
15.8%
h 677
15.7%
l 362
8.4%
s 359
8.3%
i 151
 
3.5%
z 150
 
3.5%
f 62
 
1.4%
d 61
 
1.4%
Other values (33) 214
 
5.0%
Common
ValueCountFrequency (%)
0 7689
18.5%
2 4528
10.9%
1 4527
10.9%
5 3223
7.7%
_ 2618
 
6.3%
9 2474
 
5.9%
6 2387
 
5.7%
3 2292
 
5.5%
4 2184
 
5.2%
7 2075
 
5.0%
Other values (15) 7617
18.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45910
78.7%
Hangul 12419
 
21.3%
None 4
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7689
16.7%
2 4528
 
9.9%
1 4527
 
9.9%
5 3223
 
7.0%
_ 2618
 
5.7%
9 2474
 
5.4%
6 2387
 
5.2%
3 2292
 
5.0%
4 2184
 
4.8%
7 2075
 
4.5%
Other values (54) 11913
25.9%
Hangul
ValueCountFrequency (%)
1234
 
9.9%
628
 
5.1%
620
 
5.0%
433
 
3.5%
361
 
2.9%
349
 
2.8%
309
 
2.5%
308
 
2.5%
294
 
2.4%
232
 
1.9%
Other values (378) 7651
61.6%
None
ValueCountFrequency (%)
· 2
50.0%
1
25.0%
1
25.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Distinct377
Distinct (%)79.7%
Missing1015
Missing (%)68.2%
Memory size11.8 KiB
2024-05-18T05:31:23.062124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length66
Mean length47.881607
Min length35

Characters and Unicode

Total characters22648
Distinct characters356
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)70.8%

Sample

1st row20240431373-00_1713432971439_과업지시서(안성대로 교통정보 수집용 노후CCTV 교체).hwpx
2nd row20240343357-00_1713416946497_구입시방서(가공축산물 안전성검사 장비 구입).hwpx
3rd row20240343357-00_1713416946497_구입시방서(가공축산물 안전성검사 장비 구입).hwpx
4th row20240343357-00_1713416946497_구입시방서(가공축산물 안전성검사 장비 구입).hwpx
5th row20240343357-00_1713416946497_구입시방서(가공축산물 안전성검사 장비 구입).hwpx
ValueCountFrequency (%)
내역서.xlsx 23
 
2.2%
특수조건.hwp 22
 
2.1%
시방서.hwp 13
 
1.2%
구입 12
 
1.1%
구입).hwp 11
 
1.0%
11
 
1.0%
구매내역.xlsx 10
 
0.9%
20190630496-00_1561077216698_특수계약조건(동결정액생산장비).hwp 9
 
0.8%
시스템 9
 
0.8%
9
 
0.8%
Other values (651) 934
87.9%
2024-05-18T05:31:23.719012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2963
 
13.1%
2 1682
 
7.4%
1 1670
 
7.4%
5 1108
 
4.9%
_ 995
 
4.4%
6 965
 
4.3%
9 913
 
4.0%
3 872
 
3.9%
4 857
 
3.8%
8 767
 
3.4%
Other values (346) 9856
43.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12543
55.4%
Other Letter 5152
22.7%
Lowercase Letter 1654
 
7.3%
Connector Punctuation 995
 
4.4%
Space Separator 590
 
2.6%
Other Punctuation 537
 
2.4%
Dash Punctuation 517
 
2.3%
Open Punctuation 295
 
1.3%
Close Punctuation 295
 
1.3%
Uppercase Letter 65
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
381
 
7.4%
172
 
3.3%
129
 
2.5%
124
 
2.4%
119
 
2.3%
109
 
2.1%
108
 
2.1%
105
 
2.0%
96
 
1.9%
89
 
1.7%
Other values (283) 3720
72.2%
Lowercase Letter
ValueCountFrequency (%)
p 357
21.6%
w 290
17.5%
h 288
17.4%
x 245
14.8%
s 122
 
7.4%
l 120
 
7.3%
f 51
 
3.1%
d 50
 
3.0%
i 21
 
1.3%
e 18
 
1.1%
Other values (11) 92
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
S 12
18.5%
C 8
12.3%
P 5
 
7.7%
A 5
 
7.7%
N 5
 
7.7%
M 4
 
6.2%
D 3
 
4.6%
I 3
 
4.6%
V 3
 
4.6%
E 3
 
4.6%
Other values (9) 14
21.5%
Decimal Number
ValueCountFrequency (%)
0 2963
23.6%
2 1682
13.4%
1 1670
13.3%
5 1108
 
8.8%
6 965
 
7.7%
9 913
 
7.3%
3 872
 
7.0%
4 857
 
6.8%
8 767
 
6.1%
7 746
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 519
96.6%
, 16
 
3.0%
· 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 287
97.3%
[ 7
 
2.4%
1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 287
97.3%
] 7
 
2.4%
1
 
0.3%
Connector Punctuation
ValueCountFrequency (%)
_ 995
100.0%
Space Separator
ValueCountFrequency (%)
590
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 517
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15777
69.7%
Hangul 5152
 
22.7%
Latin 1719
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
381
 
7.4%
172
 
3.3%
129
 
2.5%
124
 
2.4%
119
 
2.3%
109
 
2.1%
108
 
2.1%
105
 
2.0%
96
 
1.9%
89
 
1.7%
Other values (283) 3720
72.2%
Latin
ValueCountFrequency (%)
p 357
20.8%
w 290
16.9%
h 288
16.8%
x 245
14.3%
s 122
 
7.1%
l 120
 
7.0%
f 51
 
3.0%
d 50
 
2.9%
i 21
 
1.2%
e 18
 
1.0%
Other values (30) 157
9.1%
Common
ValueCountFrequency (%)
0 2963
18.8%
2 1682
10.7%
1 1670
10.6%
5 1108
 
7.0%
_ 995
 
6.3%
6 965
 
6.1%
9 913
 
5.8%
3 872
 
5.5%
4 857
 
5.4%
8 767
 
4.9%
Other values (13) 2985
18.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17492
77.2%
Hangul 5152
 
22.7%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2963
16.9%
2 1682
 
9.6%
1 1670
 
9.5%
5 1108
 
6.3%
_ 995
 
5.7%
6 965
 
5.5%
9 913
 
5.2%
3 872
 
5.0%
4 857
 
4.9%
8 767
 
4.4%
Other values (50) 4700
26.9%
Hangul
ValueCountFrequency (%)
381
 
7.4%
172
 
3.3%
129
 
2.5%
124
 
2.4%
119
 
2.3%
109
 
2.1%
108
 
2.1%
105
 
2.0%
96
 
1.9%
89
 
1.7%
Other values (283) 3720
72.2%
None
ValueCountFrequency (%)
· 2
50.0%
1
25.0%
1
25.0%
Distinct78
Distinct (%)78.8%
Missing1389
Missing (%)93.3%
Memory size11.8 KiB
2024-05-18T05:31:24.126491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length109
Median length61
Mean length50.343434
Min length36

Characters and Unicode

Total characters4984
Distinct characters226
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)66.7%

Sample

1st row20240431373-00_1713432971441_공내역서(안성대로 교통정보 수집용 노후CCTV 교체).xlsx
2nd row20240343357-00_1713416946501_국문규격서(가공축산물 안전성검사 장비 구입).hwpx
3rd row20240343357-00_1713416946501_국문규격서(가공축산물 안전성검사 장비 구입).hwpx
4th row20240343357-00_1713416946501_국문규격서(가공축산물 안전성검사 장비 구입).hwpx
5th row20240343357-00_1713416946501_국문규격서(가공축산물 안전성검사 장비 구입).hwpx
ValueCountFrequency (%)
시방서.hwp 8
 
3.3%
notice.hwp 7
 
2.9%
20190449669-00_1556602669786_장비구입내역서.xlsx 5
 
2.1%
구입).hwpx 5
 
2.1%
추가특수조건(조달청지침)(제2316호)(20150825).hwp 5
 
2.1%
5
 
2.1%
20240343357-00_1713416946501_국문규격서(가공축산물 4
 
1.7%
안전성검사 4
 
1.7%
장비 4
 
1.7%
20200519830-00_1589761159655_구매 4
 
1.7%
Other values (162) 189
78.8%
2024-05-18T05:31:25.010490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 614
 
12.3%
1 393
 
7.9%
2 367
 
7.4%
5 225
 
4.5%
_ 207
 
4.2%
6 206
 
4.1%
4 198
 
4.0%
3 187
 
3.8%
9 184
 
3.7%
8 181
 
3.6%
Other values (216) 2222
44.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2705
54.3%
Other Letter 956
 
19.2%
Lowercase Letter 537
 
10.8%
Connector Punctuation 207
 
4.2%
Space Separator 141
 
2.8%
Other Punctuation 119
 
2.4%
Dash Punctuation 112
 
2.2%
Close Punctuation 72
 
1.4%
Open Punctuation 69
 
1.4%
Uppercase Letter 66
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
63
 
6.6%
31
 
3.2%
31
 
3.2%
22
 
2.3%
20
 
2.1%
20
 
2.1%
19
 
2.0%
18
 
1.9%
17
 
1.8%
17
 
1.8%
Other values (158) 698
73.0%
Lowercase Letter
ValueCountFrequency (%)
p 85
15.8%
h 61
11.4%
w 55
 
10.2%
x 43
 
8.0%
f 26
 
4.8%
s 26
 
4.8%
i 24
 
4.5%
d 23
 
4.3%
t 23
 
4.3%
m 22
 
4.1%
Other values (12) 149
27.7%
Uppercase Letter
ValueCountFrequency (%)
S 14
21.2%
N 9
13.6%
E 6
9.1%
C 5
 
7.6%
I 4
 
6.1%
M 4
 
6.1%
A 4
 
6.1%
T 3
 
4.5%
D 3
 
4.5%
Y 2
 
3.0%
Other values (9) 12
18.2%
Decimal Number
ValueCountFrequency (%)
0 614
22.7%
1 393
14.5%
2 367
13.6%
5 225
 
8.3%
6 206
 
7.6%
4 198
 
7.3%
3 187
 
6.9%
9 184
 
6.8%
8 181
 
6.7%
7 150
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 118
99.2%
· 1
 
0.8%
Connector Punctuation
ValueCountFrequency (%)
_ 207
100.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3425
68.7%
Hangul 956
 
19.2%
Latin 603
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
63
 
6.6%
31
 
3.2%
31
 
3.2%
22
 
2.3%
20
 
2.1%
20
 
2.1%
19
 
2.0%
18
 
1.9%
17
 
1.8%
17
 
1.8%
Other values (158) 698
73.0%
Latin
ValueCountFrequency (%)
p 85
 
14.1%
h 61
 
10.1%
w 55
 
9.1%
x 43
 
7.1%
f 26
 
4.3%
s 26
 
4.3%
i 24
 
4.0%
d 23
 
3.8%
t 23
 
3.8%
m 22
 
3.6%
Other values (31) 215
35.7%
Common
ValueCountFrequency (%)
0 614
17.9%
1 393
11.5%
2 367
10.7%
5 225
 
6.6%
_ 207
 
6.0%
6 206
 
6.0%
4 198
 
5.8%
3 187
 
5.5%
9 184
 
5.4%
8 181
 
5.3%
Other values (7) 663
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4027
80.8%
Hangul 956
 
19.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 614
15.2%
1 393
 
9.8%
2 367
 
9.1%
5 225
 
5.6%
_ 207
 
5.1%
6 206
 
5.1%
4 198
 
4.9%
3 187
 
4.6%
9 184
 
4.6%
8 181
 
4.5%
Other values (47) 1265
31.4%
Hangul
ValueCountFrequency (%)
63
 
6.6%
31
 
3.2%
31
 
3.2%
22
 
2.3%
20
 
2.1%
20
 
2.1%
19
 
2.0%
18
 
1.9%
17
 
1.8%
17
 
1.8%
Other values (158) 698
73.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct13
Distinct (%)100.0%
Missing1475
Missing (%)99.1%
Memory size11.8 KiB
2024-05-18T05:31:25.460186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length55
Mean length47.538462
Min length40

Characters and Unicode

Total characters618
Distinct characters88
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

Unique13 ?
Unique (%)100.0%

Sample

1st row20240346285-00_1711530476347_견본품 확인서(낙농자원팀 조사료 구입).hwpx
2nd row20231241541-00_1703556637855_Summary Notice.hwp
3rd row20230500401-00_1682915818238_단체표준인증제품 대상업체 추천내역(보고용).pdf
4th row20230503150-00_1683014924337_Summary Notice.hwp
5th row20230416256-01_1681193015445_Summary Notice.hwp
ValueCountFrequency (%)
notice.hwp 6
 
19.4%
20240346285-00_1711530476347_견본품 1
 
3.2%
20190702851-00_1562047271418_규격 1
 
3.2%
20190126035-00_1548378339567_4 1
 
3.2%
냉동고).hwp 1
 
3.2%
4(시료보관용 1
 
3.2%
규격서 1
 
3.2%
물품 1
 
3.2%
20190337959-00_1553226973891_3 1
 
3.2%
20190406240-00_1554273767993_summary 1
 
3.2%
Other values (16) 16
51.6%
2024-05-18T05:31:26.548273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74
 
12.0%
1 46
 
7.4%
2 41
 
6.6%
3 36
 
5.8%
5 35
 
5.7%
4 27
 
4.4%
_ 26
 
4.2%
8 22
 
3.6%
9 21
 
3.4%
6 21
 
3.4%
Other values (78) 269
43.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 341
55.2%
Lowercase Letter 116
 
18.8%
Other Letter 71
 
11.5%
Connector Punctuation 26
 
4.2%
Space Separator 18
 
2.9%
Other Punctuation 15
 
2.4%
Dash Punctuation 13
 
2.1%
Uppercase Letter 10
 
1.6%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
5.6%
4
 
5.6%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (41) 46
64.8%
Lowercase Letter
ValueCountFrequency (%)
m 14
12.1%
p 12
10.3%
w 11
 
9.5%
h 11
 
9.5%
y 7
 
6.0%
r 7
 
6.0%
a 7
 
6.0%
u 7
 
6.0%
o 6
 
5.2%
t 6
 
5.2%
Other values (9) 28
24.1%
Decimal Number
ValueCountFrequency (%)
0 74
21.7%
1 46
13.5%
2 41
12.0%
3 36
10.6%
5 35
10.3%
4 27
 
7.9%
8 22
 
6.5%
9 21
 
6.2%
6 21
 
6.2%
7 18
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
N 5
50.0%
S 5
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Punctuation
ValueCountFrequency (%)
. 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 421
68.1%
Latin 126
 
20.4%
Hangul 71
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
5.6%
4
 
5.6%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (41) 46
64.8%
Latin
ValueCountFrequency (%)
m 14
 
11.1%
p 12
 
9.5%
w 11
 
8.7%
h 11
 
8.7%
y 7
 
5.6%
r 7
 
5.6%
a 7
 
5.6%
u 7
 
5.6%
o 6
 
4.8%
t 6
 
4.8%
Other values (11) 38
30.2%
Common
ValueCountFrequency (%)
0 74
17.6%
1 46
10.9%
2 41
9.7%
3 36
8.6%
5 35
8.3%
4 27
 
6.4%
_ 26
 
6.2%
8 22
 
5.2%
9 21
 
5.0%
6 21
 
5.0%
Other values (6) 72
17.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 547
88.5%
Hangul 71
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74
 
13.5%
1 46
 
8.4%
2 41
 
7.5%
3 36
 
6.6%
5 35
 
6.4%
4 27
 
4.9%
_ 26
 
4.8%
8 22
 
4.0%
9 21
 
3.8%
6 21
 
3.8%
Other values (27) 198
36.2%
Hangul
ValueCountFrequency (%)
4
 
5.6%
4
 
5.6%
3
 
4.2%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
2
 
2.8%
Other values (41) 46
64.8%

공고규격파일명6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1487
Missing (%)99.9%
Memory size11.8 KiB
2024-05-18T05:31:26.952946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length55
Mean length55
Min length55

Characters and Unicode

Total characters55
Distinct characters30
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row20190337959-00_1553226973901_3. 물품 규격서 5(시료보관용 냉장고).hwp
ValueCountFrequency (%)
20190337959-00_1553226973901_3 1
20.0%
물품 1
20.0%
규격서 1
20.0%
5(시료보관용 1
20.0%
냉장고).hwp 1
20.0%
2024-05-18T05:31:27.764436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5
 
9.1%
3 5
 
9.1%
0 5
 
9.1%
5 4
 
7.3%
4
 
7.3%
2 3
 
5.5%
1 3
 
5.5%
7 2
 
3.6%
_ 2
 
3.6%
. 2
 
3.6%
Other values (20) 20
36.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
50.9%
Other Letter 13
23.6%
Space Separator 4
 
7.3%
Lowercase Letter 3
 
5.5%
Connector Punctuation 2
 
3.6%
Other Punctuation 2
 
3.6%
Close Punctuation 1
 
1.8%
Open Punctuation 1
 
1.8%
Dash Punctuation 1
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Other values (3) 3
23.1%
Decimal Number
ValueCountFrequency (%)
9 5
17.9%
3 5
17.9%
0 5
17.9%
5 4
14.3%
2 3
10.7%
1 3
10.7%
7 2
 
7.1%
6 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
w 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39
70.9%
Hangul 13
 
23.6%
Latin 3
 
5.5%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5
12.8%
3 5
12.8%
0 5
12.8%
5 4
10.3%
4
10.3%
2 3
7.7%
1 3
7.7%
7 2
 
5.1%
_ 2
 
5.1%
. 2
 
5.1%
Other values (4) 4
10.3%
Hangul
ValueCountFrequency (%)
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Other values (3) 3
23.1%
Latin
ValueCountFrequency (%)
h 1
33.3%
w 1
33.3%
p 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42
76.4%
Hangul 13
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5
11.9%
3 5
11.9%
0 5
11.9%
5 4
9.5%
4
9.5%
2 3
7.1%
1 3
7.1%
7 2
 
4.8%
_ 2
 
4.8%
. 2
 
4.8%
Other values (7) 7
16.7%
Hangul
ValueCountFrequency (%)
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
1
 
7.7%
Other values (3) 3
23.1%

공고규격파일명7
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1487
Missing (%)99.9%
Memory size11.8 KiB
2024-05-18T05:31:28.191968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length47
Mean length47
Min length47

Characters and Unicode

Total characters47
Distinct characters28
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row20190337959-00_1553226973911_제안요청서(환경농업연구과).hwp
ValueCountFrequency (%)
20190337959-00_1553226973911_제안요청서(환경농업연구과).hwp 1
100.0%
2024-05-18T05:31:28.837718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 5
 
10.6%
1 4
 
8.5%
3 4
 
8.5%
0 4
 
8.5%
2 3
 
6.4%
5 3
 
6.4%
_ 2
 
4.3%
7 2
 
4.3%
w 1
 
2.1%
1
 
2.1%
Other values (18) 18
38.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26
55.3%
Other Letter 12
25.5%
Lowercase Letter 3
 
6.4%
Connector Punctuation 2
 
4.3%
Other Punctuation 1
 
2.1%
Close Punctuation 1
 
2.1%
Open Punctuation 1
 
2.1%
Dash Punctuation 1
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2) 2
16.7%
Decimal Number
ValueCountFrequency (%)
9 5
19.2%
1 4
15.4%
3 4
15.4%
0 4
15.4%
2 3
11.5%
5 3
11.5%
7 2
 
7.7%
6 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
w 1
33.3%
h 1
33.3%
p 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32
68.1%
Hangul 12
 
25.5%
Latin 3
 
6.4%

Most frequent character per script

Common
ValueCountFrequency (%)
9 5
15.6%
1 4
12.5%
3 4
12.5%
0 4
12.5%
2 3
9.4%
5 3
9.4%
_ 2
 
6.2%
7 2
 
6.2%
. 1
 
3.1%
) 1
 
3.1%
Other values (3) 3
9.4%
Hangul
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2) 2
16.7%
Latin
ValueCountFrequency (%)
w 1
33.3%
h 1
33.3%
p 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35
74.5%
Hangul 12
 
25.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 5
14.3%
1 4
11.4%
3 4
11.4%
0 4
11.4%
2 3
8.6%
5 3
8.6%
_ 2
 
5.7%
7 2
 
5.7%
w 1
 
2.9%
h 1
 
2.9%
Other values (6) 6
17.1%
Hangul
ValueCountFrequency (%)
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
1
8.3%
Other values (2) 2
16.7%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
True
1144 
False
344 
ValueCountFrequency (%)
True 1144
76.9%
False 344
 
23.1%
2024-05-18T05:31:29.232419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

물품분류제한여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.3%
Missing853
Missing (%)57.3%
Memory size3.0 KiB
False
571 
True
 
64
(Missing)
853 
ValueCountFrequency (%)
False 571
38.4%
True 64
 
4.3%
(Missing) 853
57.3%
2024-05-18T05:31:29.511919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

제조여부
Boolean

MISSING 

Distinct2
Distinct (%)0.2%
Missing571
Missing (%)38.4%
Memory size3.0 KiB
False
503 
True
414 
(Missing)
571 
ValueCountFrequency (%)
False 503
33.8%
True 414
27.8%
(Missing) 571
38.4%
2024-05-18T05:31:29.777063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예정가격결정방법명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
복수예가
1383 
단일예가
 
93
비예가
 
12

Length

Max length4
Median length4
Mean length3.9919355
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단일예가
2nd row단일예가
3rd row복수예가
4th row복수예가
5th row복수예가

Common Values

ValueCountFrequency (%)
복수예가 1383
92.9%
단일예가 93
 
6.2%
비예가 12
 
0.8%

Length

2024-05-18T05:31:30.054561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:30.324215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복수예가 1383
92.9%
단일예가 93
 
6.2%
비예가 12
 
0.8%

총예가건수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
15
1383 
1
 
93
<NA>
 
12

Length

Max length4
Median length2
Mean length1.953629
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row15
4th row15
5th row15

Common Values

ValueCountFrequency (%)
15 1383
92.9%
1 93
 
6.2%
<NA> 12
 
0.8%

Length

2024-05-18T05:31:30.536062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:30.745999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 1383
92.9%
1 93
 
6.2%
na 12
 
0.8%

추첨예가건수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
4
1383 
0
 
93
<NA>
 
12

Length

Max length4
Median length1
Mean length1.0241935
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 1383
92.9%
0 93
 
6.2%
<NA> 12
 
0.8%

Length

2024-05-18T05:31:30.959776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:31.164494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 1383
92.9%
0 93
 
6.2%
na 12
 
0.8%

배정예산금액
Real number (ℝ)

Distinct971
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2439749 × 108
Minimum3916
Maximum6.730246 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:31:31.523366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3916
5-th percentile15528485
Q135746500
median67182550
Q31.6810068 × 108
95-th percentile9.1591297 × 108
Maximum6.730246 × 109
Range6.7302421 × 109
Interquartile range (IQR)1.3235418 × 108

Descriptive statistics

Standard deviation5.9699192 × 108
Coefficient of variation (CV)2.6604216
Kurtosis54.259951
Mean2.2439749 × 108
Median Absolute Deviation (MAD)42282550
Skewness6.7164687
Sum3.3390346 × 1011
Variance3.5639935 × 1017
MonotonicityNot monotonic
2024-05-18T05:31:31.874841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114840000 19
 
1.3%
66500000 14
 
0.9%
64300000 12
 
0.8%
88220000 12
 
0.8%
35380000 10
 
0.7%
30438100 10
 
0.7%
78928550 9
 
0.6%
44887920 8
 
0.5%
33450000 7
 
0.5%
24900000 7
 
0.5%
Other values (961) 1380
92.7%
ValueCountFrequency (%)
3916 6
0.4%
4400 2
 
0.1%
4600 2
 
0.1%
88000 1
 
0.1%
2289280 2
 
0.1%
2475000 1
 
0.1%
3460500 1
 
0.1%
4125000 1
 
0.1%
4400000 2
 
0.1%
4789935 2
 
0.1%
ValueCountFrequency (%)
6730246000 3
0.2%
5419986800 3
0.2%
4972348400 3
0.2%
4720400000 1
 
0.1%
3740409120 1
 
0.1%
3700000000 1
 
0.1%
3675000000 1
 
0.1%
3516992640 1
 
0.1%
3320793800 1
 
0.1%
3109941550 1
 
0.1%

추정가격
Real number (ℝ)

Distinct970
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0318359 × 108
Minimum3560
Maximum6.0863636 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:31:32.153500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3560
5-th percentile14116805
Q132496818
median61075045
Q31.5216682 × 108
95-th percentile8.3017571 × 108
Maximum6.0863636 × 109
Range6.0863601 × 109
Interquartile range (IQR)1.1967 × 108

Descriptive statistics

Standard deviation5.404052 × 108
Coefficient of variation (CV)2.6596892
Kurtosis54.154141
Mean2.0318359 × 108
Median Absolute Deviation (MAD)38389610
Skewness6.7126267
Sum3.0233718 × 1011
Variance2.9203778 × 1017
MonotonicityNot monotonic
2024-05-18T05:31:32.419909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104400000 19
 
1.3%
60454545 14
 
0.9%
80200000 12
 
0.8%
58454545 12
 
0.8%
27671000 10
 
0.7%
32163636 10
 
0.7%
70993600 9
 
0.6%
40807200 8
 
0.5%
22636363 7
 
0.5%
30409090 7
 
0.5%
Other values (960) 1380
92.7%
ValueCountFrequency (%)
3560 6
0.4%
4000 2
 
0.1%
4181 2
 
0.1%
80000 1
 
0.1%
2081163 2
 
0.1%
2250000 1
 
0.1%
3145909 1
 
0.1%
3750000 1
 
0.1%
4000000 2
 
0.1%
4354486 2
 
0.1%
ValueCountFrequency (%)
6086363636 3
0.2%
4900909091 3
0.2%
4495909091 3
0.2%
4291272727 1
 
0.1%
3400371927 1
 
0.1%
3363636363 1
 
0.1%
3340909091 1
 
0.1%
3197266036 1
 
0.1%
3001657273 1
 
0.1%
2810900000 1
 
0.1%

개찰장소
Categorical

IMBALANCE 

Distinct20
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
국가종합전자조달시스템(나라장터)
1111 
경기도 회계과 입찰집행관 PC
239 
경기도 회계과 입찰집행관PC
 
66
경기도건설본부 관리과 입찰집행관 PC
 
41
연천소방서 집행관 PC
 
8
Other values (15)
 
23

Length

Max length24
Median length17
Mean length16.810484
Min length4

Unique

Unique10 ?
Unique (%)0.7%

Sample

1st row국가종합전자조달시스템(나라장터)
2nd row국가종합전자조달시스템(나라장터)
3rd row경기도 회계과 입찰집행관 PC
4th row국가종합전자조달시스템(나라장터)
5th row국가종합전자조달시스템(나라장터)

Common Values

ValueCountFrequency (%)
국가종합전자조달시스템(나라장터) 1111
74.7%
경기도 회계과 입찰집행관 PC 239
 
16.1%
경기도 회계과 입찰집행관PC 66
 
4.4%
경기도건설본부 관리과 입찰집행관 PC 41
 
2.8%
연천소방서 집행관 PC 8
 
0.5%
연천소방서 소방행정과 입찰집행관 PC 5
 
0.3%
경기도 말산업육성기금 입찰집행관 pc 2
 
0.1%
경기도 회계과 입찰집행관 pc 2
 
0.1%
경기도 회계과 입찰집행관pc 2
 
0.1%
경기도 회계과 입찰집행관 PC 2
 
0.1%
Other values (10) 10
 
0.7%

Length

2024-05-18T05:31:32.848614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국가종합전자조달시스템(나라장터 1111
43.8%
경기도 314
 
12.4%
회계과 312
 
12.3%
pc 306
 
12.1%
입찰집행관 297
 
11.7%
입찰집행관pc 68
 
2.7%
관리과 44
 
1.7%
경기도건설본부 43
 
1.7%
연천소방서 13
 
0.5%
집행관 8
 
0.3%
Other values (12) 18
 
0.7%
Distinct1311
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-05-18T05:31:33.626642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length113
Median length112
Mean length112.11694
Min length112

Characters and Unicode

Total characters166830
Distinct characters40
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1226 ?
Unique (%)82.4%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240447696&bidseq=00&releaseYn=Y&taskClCd=1
2nd rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240441364&bidseq=00&releaseYn=Y&taskClCd=1
3rd rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240431373&bidseq=00&releaseYn=Y&taskClCd=1
4th rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240430381&bidseq=00&releaseYn=Y&taskClCd=1
5th rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240343357&bidseq=00&releaseYn=Y&taskClCd=1
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20190630496&bidseq=01&releaseyn=y&taskclcd=1 9
 
0.6%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20190630496&bidseq=00&releaseyn=y&taskclcd=1 9
 
0.6%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200414908&bidseq=00&releaseyn=y&taskclcd=1 6
 
0.4%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200534698&bidseq=00&releaseyn=y&taskclcd=1 6
 
0.4%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200342632&bidseq=00&releaseyn=y&taskclcd=1 6
 
0.4%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200425589&bidseq=00&releaseyn=y&taskclcd=1 5
 
0.3%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200516795&bidseq=01&releaseyn=y&taskclcd=1 5
 
0.3%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20201110004&bidseq=00&releaseyn=y&taskclcd=1 5
 
0.3%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20201104265&bidseq=00&releaseyn=y&taskclcd=1 5
 
0.3%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20201031578&bidseq=00&releaseyn=y&taskclcd=1 5
 
0.3%
Other values (1301) 1427
95.9%
2024-05-18T05:31:34.654845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 10416
 
6.2%
t 8928
 
5.4%
/ 8928
 
5.4%
0 8612
 
5.2%
d 7440
 
4.5%
n 7440
 
4.5%
b 7440
 
4.5%
o 7440
 
4.5%
e 7440
 
4.5%
s 6126
 
3.7%
Other values (30) 86620
51.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 99870
59.9%
Decimal Number 28272
 
16.9%
Other Punctuation 23808
 
14.3%
Uppercase Letter 8928
 
5.4%
Math Symbol 5952
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 10416
 
10.4%
t 8928
 
8.9%
d 7440
 
7.4%
n 7440
 
7.4%
b 7440
 
7.4%
o 7440
 
7.4%
e 7440
 
7.4%
s 6126
 
6.1%
l 5952
 
6.0%
a 4464
 
4.5%
Other values (10) 26784
26.8%
Decimal Number
ValueCountFrequency (%)
0 8612
30.5%
1 5232
18.5%
2 4940
17.5%
8 3599
12.7%
9 1366
 
4.8%
3 1221
 
4.3%
4 1059
 
3.7%
5 804
 
2.8%
6 757
 
2.7%
7 682
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 8928
37.5%
. 5952
25.0%
& 4464
18.8%
: 2976
 
12.5%
? 1488
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
Y 2976
33.3%
C 2976
33.3%
I 1488
16.7%
D 1488
16.7%
Math Symbol
ValueCountFrequency (%)
= 5952
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 108798
65.2%
Common 58032
34.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 10416
 
9.6%
t 8928
 
8.2%
d 7440
 
6.8%
n 7440
 
6.8%
b 7440
 
6.8%
o 7440
 
6.8%
e 7440
 
6.8%
s 6126
 
5.6%
l 5952
 
5.5%
a 4464
 
4.1%
Other values (14) 35712
32.8%
Common
ValueCountFrequency (%)
/ 8928
15.4%
0 8612
14.8%
. 5952
10.3%
= 5952
10.3%
1 5232
9.0%
2 4940
8.5%
& 4464
7.7%
8 3599
6.2%
: 2976
 
5.1%
? 1488
 
2.6%
Other values (6) 5889
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166830
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 10416
 
6.2%
t 8928
 
5.4%
/ 8928
 
5.4%
0 8612
 
5.2%
d 7440
 
4.5%
n 7440
 
4.5%
b 7440
 
4.5%
o 7440
 
4.5%
e 7440
 
4.5%
s 6126
 
3.7%
Other values (30) 86620
51.9%

채권자명
Categorical

Distinct44
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
경기도지사
566 
대한민국정부인천지방조달청장
195 
경기도소방재난본부장
128 
경기도농업기술원장
120 
대한민국정부서울지방조달청장
72 
Other values (39)
407 

Length

Max length15
Median length14
Mean length7.9173387
Min length3

Unique

Unique7 ?
Unique (%)0.5%

Sample

1st row대한민국정부인천지방조달청장
2nd row대한민국정부인천지방조달청장
3rd row경기도지사
4th row박경애
5th row정봉수

Common Values

ValueCountFrequency (%)
경기도지사 566
38.0%
대한민국정부인천지방조달청장 195
 
13.1%
경기도소방재난본부장 128
 
8.6%
경기도농업기술원장 120
 
8.1%
대한민국정부서울지방조달청장 72
 
4.8%
경기도건설본부장 45
 
3.0%
보건환경연구원장 41
 
2.8%
김종훈 37
 
2.5%
경기도해양수산자원연구소장 28
 
1.9%
박경애 27
 
1.8%
Other values (34) 229
15.4%

Length

2024-05-18T05:31:35.107549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도지사 566
37.4%
대한민국정부인천지방조달청장 195
 
12.9%
경기도소방재난본부장 128
 
8.5%
경기도농업기술원장 120
 
7.9%
대한민국정부서울지방조달청장 72
 
4.8%
경기도건설본부장 45
 
3.0%
보건환경연구원장 41
 
2.7%
김종훈 37
 
2.4%
경기도해양수산자원연구소장 28
 
1.9%
박경애 27
 
1.8%
Other values (36) 254
16.8%
Distinct433
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-05-18T05:31:35.632925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length5.4354839
Min length1

Characters and Unicode

Total characters8088
Distinct characters395
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)14.1%

Sample

1st row상향류식여과장치
2nd row상향류식여과장치
3rd row영상감시장치
4th row가성소다
5th row왕복식진탕기
ValueCountFrequency (%)
시약키트 58
 
3.9%
레미콘 57
 
3.8%
혼합골재 39
 
2.6%
핵산추출기 31
 
2.1%
수동식소화기 24
 
1.6%
유전자증폭기 24
 
1.6%
일반검사용시약 22
 
1.5%
아스팔트콘크리트 20
 
1.3%
화상분석시스템 19
 
1.3%
자동차용휘발유 18
 
1.2%
Other values (423) 1176
79.0%
2024-05-18T05:31:36.608695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
532
 
6.6%
252
 
3.1%
219
 
2.7%
183
 
2.3%
163
 
2.0%
151
 
1.9%
133
 
1.6%
124
 
1.5%
123
 
1.5%
115
 
1.4%
Other values (385) 6093
75.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8014
99.1%
Uppercase Letter 63
 
0.8%
Decimal Number 5
 
0.1%
Other Punctuation 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
532
 
6.6%
252
 
3.1%
219
 
2.7%
183
 
2.3%
163
 
2.0%
151
 
1.9%
133
 
1.7%
124
 
1.5%
123
 
1.5%
115
 
1.4%
Other values (371) 6019
75.1%
Uppercase Letter
ValueCountFrequency (%)
D 18
28.6%
E 10
15.9%
L 10
15.9%
B 8
12.7%
O 7
 
11.1%
I 6
 
9.5%
P 4
 
6.3%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
3 1
 
20.0%
8 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
· 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8014
99.1%
Latin 63
 
0.8%
Common 11
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
532
 
6.6%
252
 
3.1%
219
 
2.7%
183
 
2.3%
163
 
2.0%
151
 
1.9%
133
 
1.7%
124
 
1.5%
123
 
1.5%
115
 
1.4%
Other values (371) 6019
75.1%
Latin
ValueCountFrequency (%)
D 18
28.6%
E 10
15.9%
L 10
15.9%
B 8
12.7%
O 7
 
11.1%
I 6
 
9.5%
P 4
 
6.3%
Common
ValueCountFrequency (%)
· 3
27.3%
1 3
27.3%
3 1
 
9.1%
8 1
 
9.1%
( 1
 
9.1%
) 1
 
9.1%
- 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8014
99.1%
ASCII 71
 
0.9%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
532
 
6.6%
252
 
3.1%
219
 
2.7%
183
 
2.3%
163
 
2.0%
151
 
1.9%
133
 
1.7%
124
 
1.5%
123
 
1.5%
115
 
1.4%
Other values (371) 6019
75.1%
ASCII
ValueCountFrequency (%)
D 18
25.4%
E 10
14.1%
L 10
14.1%
B 8
11.3%
O 7
 
9.9%
I 6
 
8.5%
P 4
 
5.6%
1 3
 
4.2%
3 1
 
1.4%
8 1
 
1.4%
Other values (3) 3
 
4.2%
None
ValueCountFrequency (%)
· 3
100.0%
Distinct360
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-05-18T05:31:37.219479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length50
Mean length9.8642473
Min length1

Characters and Unicode

Total characters14678
Distinct characters411
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)15.3%

Sample

1st row내역서 참조
2nd rowW1.0xH1.5mxL5.09m
3rd row과업지시서 및 내역서참조
4th row세부내역서 참조
5th row물품구매내역서 및 규격서 참조
ValueCountFrequency (%)
참조 756
21.7%
규격서 553
 
15.9%
참고 145
 
4.2%
120
 
3.4%
시방서 102
 
2.9%
붙임 64
 
1.8%
구매내역서 57
 
1.6%
붙임참조 54
 
1.5%
물품내역서 47
 
1.3%
규격 44
 
1.3%
Other values (600) 1545
44.3%
2024-05-18T05:31:38.427561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2008
 
13.7%
1102
 
7.5%
1009
 
6.9%
887
 
6.0%
732
 
5.0%
727
 
5.0%
0 369
 
2.5%
1 225
 
1.5%
, 220
 
1.5%
220
 
1.5%
Other values (401) 7179
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9166
62.4%
Space Separator 2008
 
13.7%
Decimal Number 1361
 
9.3%
Lowercase Letter 811
 
5.5%
Uppercase Letter 498
 
3.4%
Other Punctuation 402
 
2.7%
Dash Punctuation 146
 
1.0%
Open Punctuation 114
 
0.8%
Close Punctuation 114
 
0.8%
Other Symbol 31
 
0.2%
Other values (3) 27
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1102
 
12.0%
1009
 
11.0%
887
 
9.7%
732
 
8.0%
727
 
7.9%
220
 
2.4%
209
 
2.3%
209
 
2.3%
186
 
2.0%
143
 
1.6%
Other values (316) 3742
40.8%
Uppercase Letter
ValueCountFrequency (%)
A 51
 
10.2%
P 48
 
9.6%
S 39
 
7.8%
C 38
 
7.6%
N 35
 
7.0%
M 29
 
5.8%
L 26
 
5.2%
H 21
 
4.2%
G 21
 
4.2%
R 20
 
4.0%
Other values (16) 170
34.1%
Lowercase Letter
ValueCountFrequency (%)
m 216
26.6%
o 64
 
7.9%
e 62
 
7.6%
t 56
 
6.9%
i 47
 
5.8%
n 44
 
5.4%
l 41
 
5.1%
a 34
 
4.2%
s 34
 
4.2%
g 33
 
4.1%
Other values (14) 180
22.2%
Decimal Number
ValueCountFrequency (%)
0 369
27.1%
1 225
16.5%
5 194
14.3%
4 151
11.1%
2 144
 
10.6%
3 84
 
6.2%
8 64
 
4.7%
7 56
 
4.1%
9 37
 
2.7%
6 37
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 220
54.7%
* 53
 
13.2%
/ 47
 
11.7%
. 32
 
8.0%
# 16
 
4.0%
& 12
 
3.0%
; 11
 
2.7%
: 11
 
2.7%
Other Symbol
ValueCountFrequency (%)
13
41.9%
12
38.7%
° 3
 
9.7%
1
 
3.2%
1
 
3.2%
1
 
3.2%
Math Symbol
ValueCountFrequency (%)
~ 8
32.0%
= 6
24.0%
× 5
20.0%
+ 5
20.0%
1
 
4.0%
Space Separator
ValueCountFrequency (%)
2008
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9167
62.5%
Common 4202
28.6%
Latin 1291
 
8.8%
Greek 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1102
 
12.0%
1009
 
11.0%
887
 
9.7%
732
 
8.0%
727
 
7.9%
220
 
2.4%
209
 
2.3%
209
 
2.3%
186
 
2.0%
143
 
1.6%
Other values (317) 3743
40.8%
Latin
ValueCountFrequency (%)
m 216
 
16.7%
o 64
 
5.0%
e 62
 
4.8%
t 56
 
4.3%
A 51
 
4.0%
P 48
 
3.7%
i 47
 
3.6%
n 44
 
3.4%
l 41
 
3.2%
S 39
 
3.0%
Other values (39) 623
48.3%
Common
ValueCountFrequency (%)
2008
47.8%
0 369
 
8.8%
1 225
 
5.4%
, 220
 
5.2%
5 194
 
4.6%
4 151
 
3.6%
- 146
 
3.5%
2 144
 
3.4%
( 114
 
2.7%
) 114
 
2.7%
Other values (24) 517
 
12.3%
Greek
ValueCountFrequency (%)
Φ 18
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9166
62.4%
ASCII 5455
37.2%
None 29
 
0.2%
CJK Compat 27
 
0.2%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2008
36.8%
0 369
 
6.8%
1 225
 
4.1%
, 220
 
4.0%
m 216
 
4.0%
5 194
 
3.6%
4 151
 
2.8%
- 146
 
2.7%
2 144
 
2.6%
( 114
 
2.1%
Other values (65) 1668
30.6%
Hangul
ValueCountFrequency (%)
1102
 
12.0%
1009
 
11.0%
887
 
9.7%
732
 
8.0%
727
 
7.9%
220
 
2.4%
209
 
2.3%
209
 
2.3%
186
 
2.0%
143
 
1.6%
Other values (316) 3742
40.8%
None
ValueCountFrequency (%)
Φ 18
62.1%
× 5
 
17.2%
° 3
 
10.3%
Ø 2
 
6.9%
1
 
3.4%
CJK Compat
ValueCountFrequency (%)
13
48.1%
12
44.4%
1
 
3.7%
1
 
3.7%
Math Operators
ValueCountFrequency (%)
1
100.0%

물품수량
Real number (ℝ)

SKEWED 

Distinct275
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4872.321
Minimum1
Maximum1280000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:31:39.004637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q3120
95-th percentile10000
Maximum1280000
Range1279999
Interquartile range (IQR)119

Descriptive statistics

Standard deviation47055.02
Coefficient of variation (CV)9.657619
Kurtosis483.58214
Mean4872.321
Median Absolute Deviation (MAD)0
Skewness20.352338
Sum7250013.7
Variance2.2141749 × 109
MonotonicityNot monotonic
2024-05-18T05:31:39.536376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 902
60.6%
2.0 47
 
3.2%
4.0 19
 
1.3%
5.0 13
 
0.9%
600.0 10
 
0.7%
6.0 9
 
0.6%
47.0 9
 
0.6%
163.0 9
 
0.6%
98.0 8
 
0.5%
8.0 8
 
0.5%
Other values (265) 454
30.5%
ValueCountFrequency (%)
1.0 902
60.6%
2.0 47
 
3.2%
3.0 7
 
0.5%
4.0 19
 
1.3%
5.0 13
 
0.9%
6.0 9
 
0.6%
7.0 3
 
0.2%
8.0 8
 
0.5%
9.0 5
 
0.3%
10.0 1
 
0.1%
ValueCountFrequency (%)
1280000.0 1
0.1%
950000.0 1
0.1%
514950.0 1
0.1%
332430.0 1
0.1%
250000.0 1
0.1%
212100.0 2
0.1%
200000.0 1
0.1%
175000.0 2
0.1%
172000.0 1
0.1%
130950.0 1
0.1%
Distinct63
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-05-18T05:31:39.900889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length1
Mean length1.4616935
Min length1

Characters and Unicode

Total characters2175
Distinct characters76
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)1.3%

Sample

1st row
2nd row
3rd row
4th row
5th rowset
ValueCountFrequency (%)
691
45.7%
set 123
 
8.1%
119
 
7.9%
76
 
5.0%
75
 
5.0%
61
 
4.0%
리터 49
 
3.2%
ea 43
 
2.8%
system 24
 
1.6%
21
 
1.4%
Other values (41) 229
 
15.2%
2024-05-18T05:31:40.632415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
691
31.8%
s 181
 
8.3%
e 170
 
7.8%
t 143
 
6.6%
119
 
5.5%
76
 
3.5%
76
 
3.5%
61
 
2.8%
50
 
2.3%
50
 
2.3%
Other values (66) 558
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1244
57.2%
Lowercase Letter 723
33.2%
Other Symbol 97
 
4.5%
Uppercase Letter 69
 
3.2%
Space Separator 23
 
1.1%
Other Punctuation 7
 
0.3%
Decimal Number 6
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
691
55.5%
119
 
9.6%
76
 
6.1%
61
 
4.9%
50
 
4.0%
50
 
4.0%
18
 
1.4%
18
 
1.4%
14
 
1.1%
14
 
1.1%
Other values (29) 133
 
10.7%
Lowercase Letter
ValueCountFrequency (%)
s 181
25.0%
e 170
23.5%
t 143
19.8%
a 36
 
5.0%
y 36
 
5.0%
m 36
 
5.0%
o 25
 
3.5%
k 23
 
3.2%
x 21
 
2.9%
b 21
 
2.9%
Other values (5) 31
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
E 21
30.4%
T 15
21.7%
S 14
20.3%
A 8
 
11.6%
L 3
 
4.3%
O 2
 
2.9%
K 2
 
2.9%
X 1
 
1.4%
B 1
 
1.4%
N 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
. 1
 
14.3%
/ 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
3 3
50.0%
1 2
33.3%
0 1
 
16.7%
Other Symbol
ValueCountFrequency (%)
76
78.4%
21
 
21.6%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1244
57.2%
Latin 790
36.3%
Common 141
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
691
55.5%
119
 
9.6%
76
 
6.1%
61
 
4.9%
50
 
4.0%
50
 
4.0%
18
 
1.4%
18
 
1.4%
14
 
1.1%
14
 
1.1%
Other values (29) 133
 
10.7%
Latin
ValueCountFrequency (%)
s 181
22.9%
e 170
21.5%
t 143
18.1%
a 36
 
4.6%
y 36
 
4.6%
m 36
 
4.6%
o 25
 
3.2%
k 23
 
2.9%
E 21
 
2.7%
x 21
 
2.7%
Other values (15) 98
12.4%
Common
ValueCountFrequency (%)
76
53.9%
23
 
16.3%
21
 
14.9%
, 5
 
3.5%
3 3
 
2.1%
( 3
 
2.1%
) 3
 
2.1%
2
 
1.4%
1 2
 
1.4%
. 1
 
0.7%
Other values (2) 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1244
57.2%
ASCII 832
38.3%
CJK Compat 97
 
4.5%
Letterlike Symbols 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
691
55.5%
119
 
9.6%
76
 
6.1%
61
 
4.9%
50
 
4.0%
50
 
4.0%
18
 
1.4%
18
 
1.4%
14
 
1.1%
14
 
1.1%
Other values (29) 133
 
10.7%
ASCII
ValueCountFrequency (%)
s 181
21.8%
e 170
20.4%
t 143
17.2%
a 36
 
4.3%
y 36
 
4.3%
m 36
 
4.3%
o 25
 
3.0%
23
 
2.8%
k 23
 
2.8%
E 21
 
2.5%
Other values (24) 138
16.6%
CJK Compat
ValueCountFrequency (%)
76
78.4%
21
 
21.6%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%

물품단가
Real number (ℝ)

MISSING 

Distinct188
Distinct (%)69.6%
Missing1218
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean5.4663719 × 108
Minimum935
Maximum6.695 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:31:41.033125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum935
5-th percentile65895.5
Q159372500
median1.784 × 108
Q34.7262956 × 108
95-th percentile2.6809115 × 109
Maximum6.695 × 109
Range6.6949991 × 109
Interquartile range (IQR)4.1325706 × 108

Descriptive statistics

Standard deviation1.1143375 × 109
Coefficient of variation (CV)2.0385322
Kurtosis15.00423
Mean5.4663719 × 108
Median Absolute Deviation (MAD)1.693609 × 108
Skewness3.7519038
Sum1.4759204 × 1011
Variance1.2417481 × 1018
MonotonicityNot monotonic
2024-05-18T05:31:41.477354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107360 9
 
0.6%
63110 6
 
0.4%
58101120 4
 
0.3%
105000 4
 
0.3%
213244810 4
 
0.3%
5391000000 3
 
0.2%
4945500000 3
 
0.2%
231088000 3
 
0.2%
68229000 3
 
0.2%
2996000000 3
 
0.2%
Other values (178) 228
 
15.3%
(Missing) 1218
81.9%
ValueCountFrequency (%)
935 1
 
0.1%
7480 1
 
0.1%
14500 2
 
0.1%
17600 1
 
0.1%
18500 2
 
0.1%
22000 1
 
0.1%
63110 6
0.4%
69300 3
0.2%
72600 3
0.2%
105000 4
0.3%
ValueCountFrequency (%)
6695000000 3
0.2%
5391000000 3
0.2%
4945500000 3
0.2%
3301823000 1
 
0.1%
3091990000 1
 
0.1%
2996000000 3
0.2%
2295803400 1
 
0.1%
2080000000 3
0.2%
1900885800 1
 
0.1%
1780000000 1
 
0.1%

납품기한일시
Date

MISSING 

Distinct95
Distinct (%)19.1%
Missing990
Missing (%)66.5%
Memory size11.8 KiB
Minimum2019-04-30 00:00:00
Maximum2025-12-31 00:00:00
2024-05-18T05:31:41.895901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:42.447691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

납품일수
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)3.2%
Missing362
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean59.150977
Minimum0
Maximum1240
Zeros148
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:31:42.764336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130
median30
Q360
95-th percentile180
Maximum1240
Range1240
Interquartile range (IQR)30

Descriptive statistics

Standard deviation82.011459
Coefficient of variation (CV)1.3864768
Kurtosis51.297781
Mean59.150977
Median Absolute Deviation (MAD)30
Skewness5.6396259
Sum66604
Variance6725.8794
MonotonicityNot monotonic
2024-05-18T05:31:43.176002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
30 357
24.0%
60 242
16.3%
0 148
9.9%
90 91
 
6.1%
40 53
 
3.6%
120 21
 
1.4%
45 21
 
1.4%
50 20
 
1.3%
180 18
 
1.2%
210 18
 
1.2%
Other values (26) 137
 
9.2%
(Missing) 362
24.3%
ValueCountFrequency (%)
0 148
9.9%
7 1
 
0.1%
10 11
 
0.7%
14 4
 
0.3%
15 16
 
1.1%
20 17
 
1.1%
25 7
 
0.5%
27 1
 
0.1%
28 1
 
0.1%
29 2
 
0.1%
ValueCountFrequency (%)
1240 1
 
0.1%
540 13
0.9%
365 6
 
0.4%
360 2
 
0.1%
330 2
 
0.1%
300 1
 
0.1%
250 1
 
0.1%
240 8
0.5%
210 18
1.2%
180 18
1.2%

인도조건명
Categorical

Distinct19
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
수요기관희망장소입고도
427 
현장설치도
290 
과업내역에 따름
201 
납품장소 입고도
181 
납품장소 하차도
177 
Other values (14)
212 

Length

Max length16
Median length11
Mean length7.983871
Min length3

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row현장설치도
2nd row현장설치도
3rd row수요기관희망장소입고도
4th row수요기관희망장소입고도
5th row수요기관희망장소입고도

Common Values

ValueCountFrequency (%)
수요기관희망장소입고도 427
28.7%
현장설치도 290
19.5%
과업내역에 따름 201
13.5%
납품장소 입고도 181
12.2%
납품장소 하차도 177
11.9%
공사현장하차도 48
 
3.2%
<NA> 37
 
2.5%
현장도착도 37
 
2.5%
기타사항참조 20
 
1.3%
납품장소도 20
 
1.3%
Other values (9) 50
 
3.4%

Length

2024-05-18T05:31:43.611171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수요기관희망장소입고도 427
20.6%
납품장소 362
17.5%
현장설치도 290
14.0%
과업내역에 201
9.7%
따름 201
9.7%
입고도 181
8.7%
하차도 179
8.6%
공사현장하차도 48
 
2.3%
na 37
 
1.8%
현장도착도 37
 
1.8%
Other values (11) 107
 
5.2%

공동수급방식명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
공동수급불허
1208 
<NA>
245 
공동이행
 
16
분담이행
 
10
공동+분담이행
 
9

Length

Max length7
Median length6
Mean length5.6418011
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동수급불허 1208
81.2%
<NA> 245
 
16.5%
공동이행 16
 
1.1%
분담이행 10
 
0.7%
공동+분담이행 9
 
0.6%

Length

2024-05-18T05:31:44.017672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:44.365476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동수급불허 1208
81.2%
na 245
 
16.5%
공동이행 16
 
1.1%
분담이행 10
 
0.7%
공동+분담이행 9
 
0.6%

지사투찰허용여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.2%
Missing562
Missing (%)37.8%
Memory size3.0 KiB
False
916 
True
 
10
(Missing)
562 
ValueCountFrequency (%)
False 916
61.6%
True 10
 
0.7%
(Missing) 562
37.8%
2024-05-18T05:31:44.662656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지명경쟁여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
False
1459 
True
 
29
ValueCountFrequency (%)
False 1459
98.1%
True 29
 
1.9%
2024-05-18T05:31:44.925140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.
567 
재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.
487 
<NA>
434 

Length

Max length31
Median length31
Mean length23.125
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다. 567
38.1%
재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다. 487
32.7%
<NA> 434
29.2%

Length

2024-05-18T05:31:45.257697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:45.586987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재입찰시 1054
15.6%
예비가격을 1054
15.6%
예정가격이 1054
15.6%
산정됩니다 1054
15.6%
다시 567
8.4%
생성하여 567
8.4%
기존 487
7.2%
사용하여 487
7.2%
na 434
6.4%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
<NA>
739 
없음
739 
수기
 
10

Length

Max length4
Median length2
Mean length2.9932796
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 739
49.7%
없음 739
49.7%
수기 10
 
0.7%

Length

2024-05-18T05:31:45.992286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:46.349971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 739
49.7%
없음 739
49.7%
수기 10
 
0.7%
Distinct8
Distinct (%)80.0%
Missing1478
Missing (%)99.3%
Memory size11.8 KiB
Minimum2019-03-18 18:00:00
Maximum2023-02-09 10:00:00
2024-05-18T05:31:46.640179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:46.993871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
Distinct776
Distinct (%)67.6%
Missing340
Missing (%)22.8%
Memory size11.8 KiB
2024-05-18T05:31:47.498682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters26404
Distinct characters14
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

Unique596 ?
Unique (%)51.9%

Sample

1st row1-3-2024-6410000-000063
2nd row1-3-2024-6412103-000009
3rd row1-3-2024-6412103-000009
4th row1-3-2024-6412103-000009
5th row1-3-2024-6412103-000009
ValueCountFrequency (%)
1-3-2019-6410000-000058 19
 
1.7%
1-3-2020-6410000-000025 12
 
1.0%
1-3-2020-zy00267-000034 12
 
1.0%
1-3-2019-6410593-000003 10
 
0.9%
1-3-2019-6410000-000034 7
 
0.6%
1-3-2019-6411789-000003 7
 
0.6%
1-3-2020-6412103-000009 7
 
0.6%
1-3-2020-6410193-000001 6
 
0.5%
1-3-2020-zy00267-000047 6
 
0.5%
1-3-2019-6410848-000001 6
 
0.5%
Other values (766) 1056
92.0%
2024-05-18T05:31:48.379300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9023
34.2%
- 4592
17.4%
1 3321
 
12.6%
2 2662
 
10.1%
3 1848
 
7.0%
6 1452
 
5.5%
4 1277
 
4.8%
9 733
 
2.8%
5 493
 
1.9%
7 441
 
1.7%
Other values (4) 562
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21489
81.4%
Dash Punctuation 4592
 
17.4%
Uppercase Letter 323
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9023
42.0%
1 3321
 
15.5%
2 2662
 
12.4%
3 1848
 
8.6%
6 1452
 
6.8%
4 1277
 
5.9%
9 733
 
3.4%
5 493
 
2.3%
7 441
 
2.1%
8 239
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
Z 161
49.8%
Y 161
49.8%
B 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 4592
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26081
98.8%
Latin 323
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9023
34.6%
- 4592
17.6%
1 3321
 
12.7%
2 2662
 
10.2%
3 1848
 
7.1%
6 1452
 
5.6%
4 1277
 
4.9%
9 733
 
2.8%
5 493
 
1.9%
7 441
 
1.7%
Latin
ValueCountFrequency (%)
Z 161
49.8%
Y 161
49.8%
B 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9023
34.2%
- 4592
17.4%
1 3321
 
12.6%
2 2662
 
10.1%
3 1848
 
7.0%
6 1452
 
5.5%
4 1277
 
4.8%
9 733
 
2.8%
5 493
 
1.9%
7 441
 
1.7%
Other values (4) 562
 
2.1%

낙찰하한율
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.6%
Missing229
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean86.438102
Minimum80.495
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:31:48.615905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum80.495
5-th percentile80.495
Q184.245
median87.995
Q388
95-th percentile90
Maximum90
Range9.505
Interquartile range (IQR)3.755

Descriptive statistics

Standard deviation2.5747235
Coefficient of variation (CV)0.029786905
Kurtosis-0.20765022
Mean86.438102
Median Absolute Deviation (MAD)0.05
Skewness-0.80762992
Sum108825.57
Variance6.6292012
MonotonicityNot monotonic
2024-05-18T05:31:48.803639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
88.0 430
28.9%
84.245 381
25.6%
87.945 137
 
9.2%
90.0 111
 
7.5%
80.495 99
 
6.7%
87.995 96
 
6.5%
87.745 3
 
0.2%
85.0 2
 
0.1%
(Missing) 229
15.4%
ValueCountFrequency (%)
80.495 99
 
6.7%
84.245 381
25.6%
85.0 2
 
0.1%
87.745 3
 
0.2%
87.945 137
 
9.2%
87.995 96
 
6.5%
88.0 430
28.9%
90.0 111
 
7.5%
ValueCountFrequency (%)
90.0 111
 
7.5%
88.0 430
28.9%
87.995 96
 
6.5%
87.945 137
 
9.2%
87.745 3
 
0.2%
85.0 2
 
0.1%
84.245 381
25.6%
80.495 99
 
6.7%
Distinct1311
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2019-01-07 18:01:28
Maximum2024-05-01 09:20:21
2024-05-18T05:31:49.104726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:49.506902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사전규격등록번호
Real number (ℝ)

MISSING 

Distinct626
Distinct (%)68.6%
Missing576
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean835754.84
Minimum664192
Maximum1438449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:31:49.882114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum664192
5-th percentile694802
Q1729681
median818073.5
Q3878034
95-th percentile1254594.7
Maximum1438449
Range774257
Interquartile range (IQR)148353

Descriptive statistics

Standard deviation146649.69
Coefficient of variation (CV)0.17546975
Kurtosis4.3960663
Mean835754.84
Median Absolute Deviation (MAD)81211.5
Skewness1.9925389
Sum7.6220841 × 108
Variance2.1506132 × 1010
MonotonicityNot monotonic
2024-05-18T05:31:50.211191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
731372 19
 
1.3%
836219 12
 
0.8%
870095 9
 
0.6%
903390 6
 
0.4%
868019 6
 
0.4%
854086 6
 
0.4%
733688 6
 
0.4%
712242 5
 
0.3%
698795 5
 
0.3%
866783 5
 
0.3%
Other values (616) 833
56.0%
(Missing) 576
38.7%
ValueCountFrequency (%)
664192 3
0.2%
664194 3
0.2%
668917 1
 
0.1%
669600 1
 
0.1%
670727 1
 
0.1%
671033 1
 
0.1%
671889 1
 
0.1%
672229 1
 
0.1%
672444 1
 
0.1%
675121 1
 
0.1%
ValueCountFrequency (%)
1438449 1
0.1%
1432555 1
0.1%
1430486 1
0.1%
1425955 1
0.1%
1422436 1
0.1%
1416392 1
0.1%
1416379 1
0.1%
1416348 1
0.1%
1413533 1
0.1%
1411659 1
0.1%

정보화사업여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.7%
Missing1218
Missing (%)81.9%
Memory size3.0 KiB
False
265 
True
 
5
(Missing)
1218 
ValueCountFrequency (%)
False 265
 
17.8%
True 5
 
0.3%
(Missing) 1218
81.9%
2024-05-18T05:31:50.468496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

낙찰방법명
Categorical

Distinct19
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
제한적최저가(낙찰하한율)
559 
적격심사(추정가격 고시금액미만)
371 
중기간 경쟁물품 계약이행능력심사(중기부 공고-추정가격 고시금액 미만)
101 
수의(최저가)
96 
적격심사(추정가격 고시금액이상 10억원 미만)
92 
Other values (14)
269 

Length

Max length44
Median length43
Mean length18.44422
Min length6

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row수의(최저가)
2nd row수의(최저가)
3rd row중기간 경쟁물품 계약이행능력심사(중기부 공고-추정가격 고시금액 미만)
4th row제한적최저가(낙찰하한율)
5th row제한적최저가(낙찰하한율)

Common Values

ValueCountFrequency (%)
제한적최저가(낙찰하한율) 559
37.6%
적격심사(추정가격 고시금액미만) 371
24.9%
중기간 경쟁물품 계약이행능력심사(중기부 공고-추정가격 고시금액 미만) 101
 
6.8%
수의(최저가) 96
 
6.5%
적격심사(추정가격 고시금액이상 10억원 미만) 92
 
6.2%
제안서적격자중 예가내 최저투찰자 72
 
4.8%
중기간 경쟁물품 계약이행능력심사(중기부 공고-추정가격 10억미만 고시금액 이상) 46
 
3.1%
중기간 경쟁물품 계약이행능력심사(조달청 공고-추정가격 고시금액미만) 46
 
3.1%
최저가낙찰자결정 29
 
1.9%
기타(수기입찰) 19
 
1.3%
Other values (9) 57
 
3.8%

Length

2024-05-18T05:31:50.758285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제한적최저가(낙찰하한율 559
16.1%
적격심사(추정가격 469
13.5%
고시금액미만 417
12.0%
중기간 221
 
6.4%
경쟁물품 221
 
6.4%
공고-추정가격 221
 
6.4%
미만 193
 
5.6%
고시금액 165
 
4.8%
계약이행능력심사(중기부 149
 
4.3%
수의(최저가 96
 
2.8%
Other values (26) 758
21.9%

변경일시
Date

MISSING 

Distinct35
Distinct (%)76.1%
Missing1442
Missing (%)96.9%
Memory size11.8 KiB
Minimum2019-04-09 15:56:39
Maximum2024-05-16 16:57:20
2024-05-18T05:31:51.005479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:51.367383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

변경공고사유
Text

MISSING 

Distinct136
Distinct (%)72.0%
Missing1299
Missing (%)87.3%
Memory size11.8 KiB
2024-05-18T05:31:51.968923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length298
Median length78
Mean length34.031746
Min length2

Characters and Unicode

Total characters6432
Distinct characters319
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)57.7%

Sample

1st row개찰일시가 2024.02.19.이 아니라 2022.02.19.이라 적혀 있어 새로 공고 예정
2nd row규격서 및 계약특수조건 변경(구매수량 수정보완)
3rd row입찰참가자격 변경에 따른 취소공고(신규공고 예정)
4th row수정
5th row물품내역서 단위 변경에 따른 견적서 제출기간 변경 4.20(목)10:00~4.25.(화)10:00 공고문 수정
ValueCountFrequency (%)
38
 
2.7%
변경 32
 
2.3%
수정 28
 
2.0%
취소 24
 
1.7%
재공고 23
 
1.6%
21
 
1.5%
따른 21
 
1.5%
공고문 20
 
1.4%
정정 17
 
1.2%
입찰 15
 
1.1%
Other values (523) 1155
82.9%
2024-05-18T05:31:53.031223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1238
 
19.2%
170
 
2.6%
165
 
2.6%
147
 
2.3%
115
 
1.8%
101
 
1.6%
94
 
1.5%
0 79
 
1.2%
78
 
1.2%
74
 
1.2%
Other values (309) 4171
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4186
65.1%
Space Separator 1238
 
19.2%
Decimal Number 365
 
5.7%
Other Punctuation 251
 
3.9%
Lowercase Letter 167
 
2.6%
Uppercase Letter 64
 
1.0%
Close Punctuation 63
 
1.0%
Open Punctuation 54
 
0.8%
Dash Punctuation 20
 
0.3%
Math Symbol 8
 
0.1%
Other values (4) 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
170
 
4.1%
165
 
3.9%
147
 
3.5%
115
 
2.7%
101
 
2.4%
94
 
2.2%
78
 
1.9%
74
 
1.8%
74
 
1.8%
73
 
1.7%
Other values (238) 3095
73.9%
Lowercase Letter
ValueCountFrequency (%)
o 25
15.0%
t 21
12.6%
e 21
12.6%
n 15
9.0%
l 12
 
7.2%
i 9
 
5.4%
s 9
 
5.4%
a 9
 
5.4%
u 9
 
5.4%
c 6
 
3.6%
Other values (9) 31
18.6%
Uppercase Letter
ValueCountFrequency (%)
S 10
15.6%
P 9
14.1%
D 8
12.5%
A 7
10.9%
X 6
9.4%
N 6
9.4%
G 4
 
6.2%
C 3
 
4.7%
R 3
 
4.7%
E 3
 
4.7%
Other values (3) 5
7.8%
Decimal Number
ValueCountFrequency (%)
0 79
21.6%
2 63
17.3%
1 61
16.7%
3 39
10.7%
4 38
10.4%
9 28
 
7.7%
6 22
 
6.0%
8 16
 
4.4%
5 12
 
3.3%
7 7
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 73
29.1%
# 36
14.3%
& 36
14.3%
; 36
14.3%
, 35
13.9%
: 28
 
11.2%
2
 
0.8%
% 2
 
0.8%
* 2
 
0.8%
/ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 60
95.2%
] 1
 
1.6%
1
 
1.6%
1
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 51
94.4%
[ 1
 
1.9%
1
 
1.9%
1
 
1.9%
Math Symbol
ValueCountFrequency (%)
4
50.0%
~ 4
50.0%
Initial Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Final Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Other Number
ValueCountFrequency (%)
3
50.0%
3
50.0%
Space Separator
ValueCountFrequency (%)
1238
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4186
65.1%
Common 2015
31.3%
Latin 231
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
170
 
4.1%
165
 
3.9%
147
 
3.5%
115
 
2.7%
101
 
2.4%
94
 
2.2%
78
 
1.9%
74
 
1.8%
74
 
1.8%
73
 
1.7%
Other values (238) 3095
73.9%
Common
ValueCountFrequency (%)
1238
61.4%
0 79
 
3.9%
. 73
 
3.6%
2 63
 
3.1%
1 61
 
3.0%
) 60
 
3.0%
( 51
 
2.5%
3 39
 
1.9%
4 38
 
1.9%
# 36
 
1.8%
Other values (29) 277
 
13.7%
Latin
ValueCountFrequency (%)
o 25
 
10.8%
t 21
 
9.1%
e 21
 
9.1%
n 15
 
6.5%
l 12
 
5.2%
S 10
 
4.3%
i 9
 
3.9%
s 9
 
3.9%
P 9
 
3.9%
a 9
 
3.9%
Other values (22) 91
39.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4183
65.0%
ASCII 2220
34.5%
Punctuation 10
 
0.2%
Enclosed Alphanum 6
 
0.1%
Arrows 4
 
0.1%
None 4
 
0.1%
Compat Jamo 3
 
< 0.1%
Geometric Shapes 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1238
55.8%
0 79
 
3.6%
. 73
 
3.3%
2 63
 
2.8%
1 61
 
2.7%
) 60
 
2.7%
( 51
 
2.3%
3 39
 
1.8%
4 38
 
1.7%
# 36
 
1.6%
Other values (48) 482
 
21.7%
Hangul
ValueCountFrequency (%)
170
 
4.1%
165
 
3.9%
147
 
3.5%
115
 
2.7%
101
 
2.4%
94
 
2.2%
78
 
1.9%
74
 
1.8%
74
 
1.8%
73
 
1.7%
Other values (237) 3092
73.9%
Arrows
ValueCountFrequency (%)
4
100.0%
Punctuation
ValueCountFrequency (%)
3
30.0%
3
30.0%
2
20.0%
1
 
10.0%
1
 
10.0%
Enclosed Alphanum
ValueCountFrequency (%)
3
50.0%
3
50.0%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
Geometric Shapes
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

재입찰개찰일시
Date

MISSING 

Distinct4
Distinct (%)80.0%
Missing1483
Missing (%)99.7%
Memory size11.8 KiB
Minimum2019-02-21 11:00:00
Maximum2019-05-02 13:00:00
2024-05-18T05:31:53.357730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:53.668417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
1
985 
<NA>
501 
2
 
2

Length

Max length4
Median length1
Mean length2.0100806
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
1 985
66.2%
<NA> 501
33.7%
2 2
 
0.1%

Length

2024-05-18T05:31:54.055961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:54.381890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 985
66.2%
na 501
33.7%
2 2
 
0.1%

[기초금액]기초금액
Real number (ℝ)

MISSING 

Distinct736
Distinct (%)74.6%
Missing501
Missing (%)33.7%
Infinite0
Infinite (%)0.0%
Mean1.9859826 × 108
Minimum769
Maximum6.382106 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:31:54.732533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum769
5-th percentile6050355
Q133641245
median59840000
Q31.4977475 × 108
95-th percentile7.826 × 108
Maximum6.382106 × 109
Range6.3821052 × 109
Interquartile range (IQR)1.161335 × 108

Descriptive statistics

Standard deviation5.4909743 × 108
Coefficient of variation (CV)2.7648653
Kurtosis61.928522
Mean1.9859826 × 108
Median Absolute Deviation (MAD)36960000
Skewness7.2101705
Sum1.9601648 × 1011
Variance3.0150799 × 1017
MonotonicityNot monotonic
2024-05-18T05:31:55.204383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88220000.0 12
 
0.8%
35380000.0 10
 
0.7%
74900000.0 6
 
0.4%
31936080.0 6
 
0.4%
33450000.0 6
 
0.4%
66500000.0 6
 
0.4%
3916.0 6
 
0.4%
39633800.0 6
 
0.4%
55800000.0 6
 
0.4%
131568000.0 6
 
0.4%
Other values (726) 917
61.6%
(Missing) 501
33.7%
ValueCountFrequency (%)
769.0 1
 
0.1%
868.22 2
0.1%
920.36 1
 
0.1%
992.21 1
 
0.1%
997.31 1
 
0.1%
997.79 1
 
0.1%
1064.43 1
 
0.1%
1279.0 1
 
0.1%
1298.83 1
 
0.1%
1451.0 3
0.2%
ValueCountFrequency (%)
6382106000.0 2
0.1%
5229200000.0 2
0.1%
4720400000.0 1
0.1%
4349100000.0 2
0.1%
3740409120.0 1
0.1%
3516992640.0 1
0.1%
2995300000.0 1
0.1%
2906000000.0 2
0.1%
2855101000.0 1
0.1%
1974483000.0 2
0.1%
Distinct863
Distinct (%)87.4%
Missing501
Missing (%)33.7%
Memory size11.8 KiB
Minimum2019-01-11 13:36:28
Maximum2024-04-25 11:53:26
2024-05-18T05:31:55.522940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:31:55.882490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
-3
983 
<NA>
501 
-2
 
4

Length

Max length4
Median length2
Mean length2.6733871
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
-3 983
66.1%
<NA> 501
33.7%
-2 4
 
0.3%

Length

2024-05-18T05:31:56.264756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:56.517448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 983
66.1%
na 501
33.7%
2 4
 
0.3%
Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
3
983 
<NA>
501 
2
 
4

Length

Max length4
Median length1
Mean length2.0100806
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row3
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
3 983
66.1%
<NA> 501
33.7%
2 4
 
0.3%

Length

2024-05-18T05:31:56.894013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T05:31:57.187637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 983
66.1%
na 501
33.7%
2 4
 
0.3%

[기초금액]비고1
Text

MISSING 

Distinct21
Distinct (%)84.0%
Missing1463
Missing (%)98.3%
Memory size11.8 KiB
2024-05-18T05:31:57.501511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length339
Median length37
Mean length38.4
Min length4

Characters and Unicode

Total characters960
Distinct characters173
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)72.0%

Sample

1st row(부가가치세 포함)
2nd row공고서참조
3rd row리터당 가격
4th row리터당 가격
5th row리터당 가격
ValueCountFrequency (%)
19
 
9.8%
6
 
3.1%
5
 
2.6%
국민연금보험료 4
 
2.1%
국민건강보험료 4
 
2.1%
리터당 4
 
2.1%
가격 3
 
1.5%
3
 
1.5%
3
 
1.5%
참조 3
 
1.5%
Other values (97) 140
72.2%
2024-05-18T05:31:58.273337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
171
 
17.8%
# 38
 
4.0%
25
 
2.6%
, 23
 
2.4%
21
 
2.2%
18
 
1.9%
16
 
1.7%
0 16
 
1.7%
- 14
 
1.5%
: 13
 
1.4%
Other values (163) 605
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
59.3%
Space Separator 171
 
17.8%
Other Punctuation 91
 
9.5%
Decimal Number 87
 
9.1%
Dash Punctuation 14
 
1.5%
Lowercase Letter 8
 
0.8%
Open Punctuation 7
 
0.7%
Close Punctuation 7
 
0.7%
Other Symbol 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
4.4%
21
 
3.7%
18
 
3.2%
16
 
2.8%
12
 
2.1%
12
 
2.1%
11
 
1.9%
11
 
1.9%
11
 
1.9%
10
 
1.8%
Other values (142) 422
74.2%
Decimal Number
ValueCountFrequency (%)
0 16
18.4%
7 11
12.6%
2 11
12.6%
1 10
11.5%
5 10
11.5%
3 10
11.5%
8 6
 
6.9%
9 5
 
5.7%
6 5
 
5.7%
4 3
 
3.4%
Other Punctuation
ValueCountFrequency (%)
# 38
41.8%
, 23
25.3%
: 13
 
14.3%
. 10
 
11.0%
% 7
 
7.7%
Space Separator
ValueCountFrequency (%)
171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
59.3%
Common 383
39.9%
Latin 8
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
4.4%
21
 
3.7%
18
 
3.2%
16
 
2.8%
12
 
2.1%
12
 
2.1%
11
 
1.9%
11
 
1.9%
11
 
1.9%
10
 
1.8%
Other values (142) 422
74.2%
Common
ValueCountFrequency (%)
171
44.6%
# 38
 
9.9%
, 23
 
6.0%
0 16
 
4.2%
- 14
 
3.7%
: 13
 
3.4%
7 11
 
2.9%
2 11
 
2.9%
. 10
 
2.6%
1 10
 
2.6%
Other values (10) 66
 
17.2%
Latin
ValueCountFrequency (%)
m 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
59.2%
ASCII 385
40.1%
Geometric Shapes 6
 
0.6%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
171
44.4%
# 38
 
9.9%
, 23
 
6.0%
0 16
 
4.2%
- 14
 
3.6%
: 13
 
3.4%
7 11
 
2.9%
2 11
 
2.9%
. 10
 
2.6%
1 10
 
2.6%
Other values (10) 68
 
17.7%
Hangul
ValueCountFrequency (%)
25
 
4.4%
21
 
3.7%
18
 
3.2%
16
 
2.8%
12
 
2.1%
12
 
2.1%
11
 
1.9%
11
 
1.9%
11
 
1.9%
10
 
1.8%
Other values (141) 421
74.1%
Geometric Shapes
ValueCountFrequency (%)
6
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

[기초금액]가용금액
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)72.6%
Missing1331
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean6.3704057 × 108
Minimum18500
Maximum6.695 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:31:58.710718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18500
5-th percentile57013643
Q11.0889505 × 108
median2.1324481 × 108
Q36.328784 × 108
95-th percentile2.996 × 109
Maximum6.695 × 109
Range6.6949815 × 109
Interquartile range (IQR)5.2398335 × 108

Descriptive statistics

Standard deviation1.1603034 × 109
Coefficient of variation (CV)1.8213963
Kurtosis13.61516
Mean6.3704057 × 108
Median Absolute Deviation (MAD)1.5022481 × 108
Skewness3.58877
Sum1.0001537 × 1011
Variance1.3463039 × 1018
MonotonicityNot monotonic
2024-05-18T05:31:59.530764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78092960 6
 
0.4%
57013643 6
 
0.4%
213244810 3
 
0.2%
958487172 3
 
0.2%
58101120 3
 
0.2%
33300000 3
 
0.2%
1032258000 3
 
0.2%
5391000000 2
 
0.1%
231088000 2
 
0.1%
63020000 2
 
0.1%
Other values (104) 124
 
8.3%
(Missing) 1331
89.4%
ValueCountFrequency (%)
18500 1
 
0.1%
33300000 3
0.2%
56000000 1
 
0.1%
56088901 1
 
0.1%
57013643 6
0.4%
58101120 3
0.2%
59290000 1
 
0.1%
59928000 2
 
0.1%
62350500 1
 
0.1%
63000000 2
 
0.1%
ValueCountFrequency (%)
6695000000 2
0.1%
5391000000 2
0.1%
4945500000 2
0.1%
3301823000 1
0.1%
2996000000 2
0.1%
2080000000 2
0.1%
1780000000 1
0.1%
1525000000 2
0.1%
1500000000 2
0.1%
1391800000 1
0.1%
Distinct863
Distinct (%)87.4%
Missing501
Missing (%)33.7%
Memory size11.8 KiB
Minimum2019-01-11 13:36:28
Maximum2024-04-25 11:53:26
2024-05-18T05:31:59.987154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:32:00.438671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

[구매대상물품]물품순번
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.7%
Missing174
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean1.2671233
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:32:00.813413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.85205711
Coefficient of variation (CV)0.67243426
Kurtosis25.374496
Mean1.2671233
Median Absolute Deviation (MAD)0
Skewness4.5057386
Sum1665
Variance0.72600131
MonotonicityNot monotonic
2024-05-18T05:32:01.216845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1138
76.5%
2 86
 
5.8%
3 50
 
3.4%
4 18
 
1.2%
5 11
 
0.7%
6 5
 
0.3%
7 2
 
0.1%
9 2
 
0.1%
8 2
 
0.1%
(Missing) 174
 
11.7%
ValueCountFrequency (%)
1 1138
76.5%
2 86
 
5.8%
3 50
 
3.4%
4 18
 
1.2%
5 11
 
0.7%
6 5
 
0.3%
7 2
 
0.1%
8 2
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
9 2
 
0.1%
8 2
 
0.1%
7 2
 
0.1%
6 5
 
0.3%
5 11
 
0.7%
4 18
 
1.2%
3 50
 
3.4%
2 86
 
5.8%
1 1138
76.5%

[구매대상물품]물품분류번호
Real number (ℝ)

MISSING 

Distinct398
Distinct (%)30.3%
Missing174
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean36635218
Minimum10101506
Maximum99211023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:32:01.658131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10101506
5-th percentile12161503
Q130109902
median41102404
Q343233151
95-th percentile53106075
Maximum99211023
Range89109517
Interquartile range (IQR)13123249

Descriptive statistics

Standard deviation12721469
Coefficient of variation (CV)0.34724697
Kurtosis0.98418775
Mean36635218
Median Absolute Deviation (MAD)8009203
Skewness-0.037092044
Sum4.8138677 × 1010
Variance1.6183576 × 1014
MonotonicityNot monotonic
2024-05-18T05:32:02.100085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30111505 52
 
3.5%
12161503 51
 
3.4%
30109902 36
 
2.4%
51320202 22
 
1.5%
46191601 21
 
1.4%
46182001 20
 
1.3%
30111597 18
 
1.2%
41101504 16
 
1.1%
15101505 16
 
1.1%
30121702 16
 
1.1%
Other values (388) 1046
70.3%
(Missing) 174
 
11.7%
ValueCountFrequency (%)
10101506 2
 
0.1%
10121597 3
0.2%
10121598 4
0.3%
10121599 5
0.3%
10191599 1
 
0.1%
10191799 1
 
0.1%
11111697 3
0.2%
11121701 3
0.2%
11162305 1
 
0.1%
12131601 1
 
0.1%
ValueCountFrequency (%)
99211023 1
 
0.1%
84131699 1
 
0.1%
84131601 2
0.1%
81151699 1
 
0.1%
81112399 1
 
0.1%
81111899 2
0.1%
81111599 1
 
0.1%
81111598 1
 
0.1%
80141990 3
0.2%
80101507 1
 
0.1%
Distinct401
Distinct (%)30.5%
Missing174
Missing (%)11.7%
Memory size11.8 KiB
2024-05-18T05:32:02.553585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length17
Mean length6.0753425
Min length1

Characters and Unicode

Total characters7983
Distinct characters406
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)14.5%

Sample

1st row영상감시장치
2nd row무기수산화물
3rd row실험실용보관장또는보조용품
4th row왕복식진탕기
5th row진공또는원심농축기
ValueCountFrequency (%)
레미콘 52
 
4.0%
시약키트 51
 
3.9%
혼합골재 36
 
2.7%
일반검사용시약 22
 
1.7%
소화용기구 21
 
1.6%
마스크또는보조용품 20
 
1.5%
아스팔트콘크리트 18
 
1.4%
경유 16
 
1.2%
균질화기기 16
 
1.2%
토목섬유 16
 
1.2%
Other values (391) 1046
79.6%
2024-05-18T05:32:03.279190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
444
 
5.6%
255
 
3.2%
187
 
2.3%
160
 
2.0%
159
 
2.0%
144
 
1.8%
123
 
1.5%
121
 
1.5%
116
 
1.5%
113
 
1.4%
Other values (396) 6161
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7815
97.9%
Uppercase Letter 99
 
1.2%
Other Punctuation 37
 
0.5%
Close Punctuation 15
 
0.2%
Open Punctuation 15
 
0.2%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
444
 
5.7%
255
 
3.3%
187
 
2.4%
160
 
2.0%
159
 
2.0%
144
 
1.8%
123
 
1.6%
121
 
1.5%
116
 
1.5%
113
 
1.4%
Other values (379) 5993
76.7%
Uppercase Letter
ValueCountFrequency (%)
D 21
21.2%
C 12
12.1%
B 12
12.1%
P 12
12.1%
O 11
11.1%
R 10
10.1%
L 9
9.1%
E 9
9.1%
I 2
 
2.0%
N 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 32
86.5%
. 4
 
10.8%
· 1
 
2.7%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
8 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7805
97.8%
Latin 99
 
1.2%
Common 69
 
0.9%
Han 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
444
 
5.7%
255
 
3.3%
187
 
2.4%
160
 
2.0%
159
 
2.0%
144
 
1.8%
123
 
1.6%
121
 
1.6%
116
 
1.5%
113
 
1.4%
Other values (377) 5983
76.7%
Latin
ValueCountFrequency (%)
D 21
21.2%
C 12
12.1%
B 12
12.1%
P 12
12.1%
O 11
11.1%
R 10
10.1%
L 9
9.1%
E 9
9.1%
I 2
 
2.0%
N 1
 
1.0%
Common
ValueCountFrequency (%)
, 32
46.4%
) 15
21.7%
( 15
21.7%
. 4
 
5.8%
3 1
 
1.4%
· 1
 
1.4%
8 1
 
1.4%
Han
ValueCountFrequency (%)
5
50.0%
5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7805
97.8%
ASCII 167
 
2.1%
CJK 10
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
444
 
5.7%
255
 
3.3%
187
 
2.4%
160
 
2.0%
159
 
2.0%
144
 
1.8%
123
 
1.6%
121
 
1.6%
116
 
1.5%
113
 
1.4%
Other values (377) 5983
76.7%
ASCII
ValueCountFrequency (%)
, 32
19.2%
D 21
12.6%
) 15
9.0%
( 15
9.0%
C 12
 
7.2%
B 12
 
7.2%
P 12
 
7.2%
O 11
 
6.6%
R 10
 
6.0%
L 9
 
5.4%
Other values (6) 18
10.8%
CJK
ValueCountFrequency (%)
5
50.0%
5
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

[구매대상물품]수량
Real number (ℝ)

MISSING 

Distinct277
Distinct (%)21.1%
Missing174
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean5305.4594
Minimum1
Maximum1280000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:32:03.573134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q3184.175
95-th percentile10056
Maximum1280000
Range1279999
Interquartile range (IQR)183.175

Descriptive statistics

Standard deviation48813.108
Coefficient of variation (CV)9.200543
Kurtosis464.56287
Mean5305.4594
Median Absolute Deviation (MAD)0
Skewness19.959634
Sum6971373.7
Variance2.3827195 × 109
MonotonicityNot monotonic
2024-05-18T05:32:03.879482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 765
51.4%
2.0 50
 
3.4%
4.0 15
 
1.0%
5.0 10
 
0.7%
3.0 10
 
0.7%
47.0 9
 
0.6%
6.0 9
 
0.6%
98.0 8
 
0.5%
10000.0 8
 
0.5%
8.0 7
 
0.5%
Other values (267) 423
28.4%
(Missing) 174
 
11.7%
ValueCountFrequency (%)
1.0 765
51.4%
2.0 50
 
3.4%
3.0 10
 
0.7%
4.0 15
 
1.0%
5.0 10
 
0.7%
6.0 9
 
0.6%
7.0 3
 
0.2%
8.0 7
 
0.5%
9.0 5
 
0.3%
10.0 1
 
0.1%
ValueCountFrequency (%)
1280000.0 1
0.1%
950000.0 1
0.1%
332430.0 1
0.1%
289500.0 2
0.1%
212100.0 2
0.1%
200000.0 1
0.1%
175000.0 2
0.1%
172000.0 1
0.1%
130950.0 1
0.1%
130000.0 2
0.1%
Distinct60
Distinct (%)4.6%
Missing174
Missing (%)11.7%
Memory size11.8 KiB
2024-05-18T05:32:04.140812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.4512938
Min length1

Characters and Unicode

Total characters1907
Distinct characters74
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)1.5%

Sample

1st row
2nd row
3rd rowsys
4th rowset
5th rowsys
ValueCountFrequency (%)
595
44.7%
100
 
7.5%
set 86
 
6.5%
76
 
5.7%
67
 
5.0%
58
 
4.4%
ea 55
 
4.1%
리터 48
 
3.6%
system 24
 
1.8%
21
 
1.6%
Other values (39) 202
 
15.2%
2024-05-18T05:32:04.635716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
595
31.2%
e 146
 
7.7%
s 146
 
7.7%
t 105
 
5.5%
100
 
5.2%
77
 
4.0%
67
 
3.5%
58
 
3.0%
49
 
2.6%
a 49
 
2.6%
Other values (64) 515
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1100
57.7%
Lowercase Letter 623
32.7%
Other Symbol 88
 
4.6%
Uppercase Letter 63
 
3.3%
Space Separator 18
 
0.9%
Other Punctuation 7
 
0.4%
Decimal Number 4
 
0.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
595
54.1%
100
 
9.1%
77
 
7.0%
58
 
5.3%
49
 
4.5%
48
 
4.4%
17
 
1.5%
15
 
1.4%
15
 
1.4%
15
 
1.4%
Other values (29) 111
 
10.1%
Lowercase Letter
ValueCountFrequency (%)
e 146
23.4%
s 146
23.4%
t 105
16.9%
a 49
 
7.9%
y 37
 
5.9%
m 36
 
5.8%
o 22
 
3.5%
k 19
 
3.0%
b 18
 
2.9%
x 18
 
2.9%
Other values (5) 27
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
E 20
31.7%
T 14
22.2%
S 14
22.2%
A 7
 
11.1%
K 2
 
3.2%
L 2
 
3.2%
I 1
 
1.6%
X 1
 
1.6%
O 1
 
1.6%
B 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
. 1
 
14.3%
/ 1
 
14.3%
Other Symbol
ValueCountFrequency (%)
67
76.1%
21
 
23.9%
Decimal Number
ValueCountFrequency (%)
3 3
75.0%
1 1
 
25.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1100
57.7%
Latin 684
35.9%
Common 123
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
595
54.1%
100
 
9.1%
77
 
7.0%
58
 
5.3%
49
 
4.5%
48
 
4.4%
17
 
1.5%
15
 
1.4%
15
 
1.4%
15
 
1.4%
Other values (29) 111
 
10.1%
Latin
ValueCountFrequency (%)
e 146
21.3%
s 146
21.3%
t 105
15.4%
a 49
 
7.2%
y 37
 
5.4%
m 36
 
5.3%
o 22
 
3.2%
E 20
 
2.9%
k 19
 
2.8%
b 18
 
2.6%
Other values (14) 86
12.6%
Common
ValueCountFrequency (%)
67
54.5%
21
 
17.1%
18
 
14.6%
, 5
 
4.1%
3 3
 
2.4%
2
 
1.6%
) 2
 
1.6%
( 2
 
1.6%
. 1
 
0.8%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1100
57.7%
ASCII 717
37.6%
CJK Compat 88
 
4.6%
Letterlike Symbols 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
595
54.1%
100
 
9.1%
77
 
7.0%
58
 
5.3%
49
 
4.5%
48
 
4.4%
17
 
1.5%
15
 
1.4%
15
 
1.4%
15
 
1.4%
Other values (29) 111
 
10.1%
ASCII
ValueCountFrequency (%)
e 146
20.4%
s 146
20.4%
t 105
14.6%
a 49
 
6.8%
y 37
 
5.2%
m 36
 
5.0%
o 22
 
3.1%
E 20
 
2.8%
k 19
 
2.6%
b 18
 
2.5%
Other values (22) 119
16.6%
CJK Compat
ValueCountFrequency (%)
67
76.1%
21
 
23.9%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%

[구매대상물품]단가
Real number (ℝ)

MISSING 

Distinct190
Distinct (%)73.1%
Missing1228
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean5.2125088 × 108
Minimum935
Maximum6.695 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-05-18T05:32:05.049218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum935
5-th percentile69300
Q159851000
median1.784 × 108
Q34.64478 × 108
95-th percentile2.0907902 × 109
Maximum6.695 × 109
Range6.6949991 × 109
Interquartile range (IQR)4.04627 × 108

Descriptive statistics

Standard deviation1.0779314 × 109
Coefficient of variation (CV)2.0679705
Kurtosis17.028166
Mean5.2125088 × 108
Median Absolute Deviation (MAD)1.670914 × 108
Skewness3.972406
Sum1.3552523 × 1011
Variance1.1619361 × 1018
MonotonicityNot monotonic
2024-05-18T05:32:05.551694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213244810 4
 
0.3%
105000 4
 
0.3%
58101120 4
 
0.3%
107360 3
 
0.2%
80960 3
 
0.2%
4945500000 3
 
0.2%
159467000 3
 
0.2%
33300000 3
 
0.2%
231088000 3
 
0.2%
1032258000 3
 
0.2%
Other values (180) 227
 
15.3%
(Missing) 1228
82.5%
ValueCountFrequency (%)
935 1
 
0.1%
7480 1
 
0.1%
14500 2
0.1%
17600 1
 
0.1%
18500 2
0.1%
22000 1
 
0.1%
63110 2
0.1%
67601 2
0.1%
69300 3
0.2%
70606 2
0.1%
ValueCountFrequency (%)
6695000000 3
0.2%
5391000000 2
0.1%
4945500000 3
0.2%
3301823000 1
 
0.1%
3091990000 1
 
0.1%
2996000000 2
0.1%
2295803400 1
 
0.1%
2080000000 3
0.2%
1780000000 1
 
0.1%
1543440000 1
 
0.1%
Distinct263
Distinct (%)20.1%
Missing179
Missing (%)12.0%
Memory size11.8 KiB
2024-05-18T05:32:06.087363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length11.828113
Min length3

Characters and Unicode

Total characters15483
Distinct characters262
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)8.8%

Sample

1st row수요기관 지정장소
2nd row경기도동물위생시험소
3rd row경기도북부동물위생시험소 북부지소
4th row경기도북부동물위생시험소
5th row경기도북부동물위생시험소
ValueCountFrequency (%)
지정장소 342
 
11.3%
수요기관 246
 
8.1%
경기도 200
 
6.6%
수요부서 171
 
5.6%
경기도동물위생시험소 98
 
3.2%
현장 91
 
3.0%
경기도북부동물위생시험소 88
 
2.9%
일원 81
 
2.7%
경기도보건환경연구원 73
 
2.4%
희망장소 65
 
2.1%
Other values (371) 1574
52.0%
2024-05-18T05:32:06.909059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1720
 
11.1%
914
 
5.9%
854
 
5.5%
734
 
4.7%
701
 
4.5%
599
 
3.9%
481
 
3.1%
468
 
3.0%
437
 
2.8%
417
 
2.7%
Other values (252) 8158
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13308
86.0%
Space Separator 1720
 
11.1%
Decimal Number 286
 
1.8%
Open Punctuation 53
 
0.3%
Close Punctuation 53
 
0.3%
Math Symbol 32
 
0.2%
Other Punctuation 22
 
0.1%
Dash Punctuation 7
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
914
 
6.9%
854
 
6.4%
734
 
5.5%
701
 
5.3%
599
 
4.5%
481
 
3.6%
468
 
3.5%
437
 
3.3%
417
 
3.1%
401
 
3.0%
Other values (232) 7302
54.9%
Decimal Number
ValueCountFrequency (%)
1 83
29.0%
5 45
15.7%
7 30
 
10.5%
2 27
 
9.4%
3 26
 
9.1%
9 22
 
7.7%
4 17
 
5.9%
8 16
 
5.6%
6 14
 
4.9%
0 6
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 19
86.4%
& 1
 
4.5%
# 1
 
4.5%
; 1
 
4.5%
Space Separator
ValueCountFrequency (%)
1720
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Math Symbol
ValueCountFrequency (%)
~ 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13308
86.0%
Common 2173
 
14.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
914
 
6.9%
854
 
6.4%
734
 
5.5%
701
 
5.3%
599
 
4.5%
481
 
3.6%
468
 
3.5%
437
 
3.3%
417
 
3.1%
401
 
3.0%
Other values (232) 7302
54.9%
Common
ValueCountFrequency (%)
1720
79.2%
1 83
 
3.8%
( 53
 
2.4%
) 53
 
2.4%
5 45
 
2.1%
~ 32
 
1.5%
7 30
 
1.4%
2 27
 
1.2%
3 26
 
1.2%
9 22
 
1.0%
Other values (9) 82
 
3.8%
Latin
ValueCountFrequency (%)
G 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13308
86.0%
ASCII 2175
 
14.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1720
79.1%
1 83
 
3.8%
( 53
 
2.4%
) 53
 
2.4%
5 45
 
2.1%
~ 32
 
1.5%
7 30
 
1.4%
2 27
 
1.2%
3 26
 
1.2%
9 22
 
1.0%
Other values (10) 84
 
3.9%
Hangul
ValueCountFrequency (%)
914
 
6.9%
854
 
6.4%
734
 
5.5%
701
 
5.3%
599
 
4.5%
481
 
3.6%
468
 
3.5%
437
 
3.3%
417
 
3.1%
401
 
3.0%
Other values (232) 7302
54.9%
Distinct1137
Distinct (%)86.5%
Missing174
Missing (%)11.7%
Memory size11.8 KiB
Minimum2019-01-07 18:01:28
Maximum2024-04-18 18:54:41
2024-05-18T05:32:07.188729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T05:32:07.452189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

입찰공고일시입찰공고번호입찰공고차수재공고여부등록유형명공고종류명국제입찰여부참조번호입찰공고명공고기관명수요기관명입찰방식명계약체결방법명집행관명입찰참가자격등록마감일시공동수급협정서접수방식공동수급협정마감일시공동수급업체지역제한여부입찰개시일시입찰마감일시개찰일시공고규격서URL1공고규격서URL2공고규격서URL3공고규격서URL4공고규격서URL5공고규격서URL6공고규격서URL7공고규격파일명1공고규격파일명2공고규격파일명3공고규격파일명4공고규격파일명5공고규격파일명6공고규격파일명7재입찰허용여부물품분류제한여부제조여부예정가격결정방법명총예가건수추첨예가건수배정예산금액추정가격개찰장소입찰공고상세URL채권자명세부품명물품규격명물품수량물품단위물품단가납품기한일시납품일수인도조건명공동수급방식명지사투찰허용여부지명경쟁여부예비가격재작성방법명실적신청서접수방법명실적신청서접수일시발주계획통합번호낙찰하한율등록일시사전규격등록번호정보화사업여부낙찰방법명변경일시변경공고사유재입찰개찰일시입찰분류아이디[기초금액]기초금액[기초금액]기초금액공개일시[기초금액]예비가격범위시작률[기초금액]예비가격범위종료율[기초금액]비고1[기초금액]가용금액[기초금액]입력일시[구매대상물품]물품순번[구매대상물품]물품분류번호[구매대상물품]품명[구매대상물품]수량[구매대상물품]단위[구매대상물품]단가[구매대상물품]납품장소[구매대상물품]공고게시일시
02024-05-01 09:20:21202404476960N조달청 또는 나라장터 자체 공고건일반N22243044900상수원영향권 지방도 비점오염저감시설 설치공사 침투도랑(A-3, C) 구매조달청 인천지방조달청경기도 경기도건설본부전자시담수의(총액)특허제품이근수2024-05-28 18:00:00공고서참조<NA>N2024-05-29 10:00:002024-05-29 11:00:002024-05-29 12:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240447696::00::2::1<NA><NA><NA><NA><NA><NA>20240447696-00_1714460717587_규격서 1부..zip<NA><NA><NA><NA><NA><NA>YN<NA>단일예가10394946780356500000국가종합전자조달시스템(나라장터)https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240447696&bidseq=00&releaseYn=Y&taskClCd=1대한민국정부인천지방조달청장상향류식여과장치내역서 참조1.03921500002025-12-31 00:00:000현장설치도<NA><NA>N<NA><NA><NA><NA><NA>2024-05-01 09:20:211438449N수의(최저가)2024-05-16 14:01:42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12024-04-25 16:52:39202404413640N조달청 또는 나라장터 자체 공고건일반N22243042500상수원영향권 지방도 비점오염저감시설 설치공사 식물재배화분(C,D) 구매조달청 인천지방조달청경기도 경기도건설본부전자시담수의(총액)특허제품이근수2024-05-16 18:00:00공고서참조<NA>N2024-05-17 10:00:002024-05-17 11:00:002024-05-17 12:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240441364::00::2::1<NA><NA><NA><NA><NA><NA>20240441364-00_1714027382540_규격서 1부..zip<NA><NA><NA><NA><NA><NA>YN<NA>단일예가1011140365501006251818국가종합전자조달시스템(나라장터)https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240441364&bidseq=00&releaseYn=Y&taskClCd=1대한민국정부인천지방조달청장상향류식여과장치W1.0xH1.5mxL5.09m1.011068770002025-12-31 00:00:000현장설치도<NA><NA>N<NA><NA><NA><NA><NA>2024-04-25 16:52:391430486N수의(최저가)2024-05-16 16:57:20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22024-04-18 18:54:41202404313730N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 제2024-423호안성대로 교통정보 수집용 노후CCTV 교체(구매설치)경기도경기도전자입찰제한(총액)김유나2024-04-25 18:00:00공고서참조<NA>N2024-04-19 10:00:002024-04-26 10:00:002024-04-26 11:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431373::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431373::00::1::4https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431373::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431373::00::2::3<NA><NA><NA>20240431373-00_1713432971437_입찰공고문_안성대로 교통정보 수집용 노후CCTV 교체(구매설치).hwpx20240431373-00_1713432971443_상생결제_안내자료.pdf20240431373-00_1713432971439_과업지시서(안성대로 교통정보 수집용 노후CCTV 교체).hwpx20240431373-00_1713432971441_공내역서(안성대로 교통정보 수집용 노후CCTV 교체).xlsx<NA><NA><NA>Y<NA>Y복수예가1545965000054227273경기도 회계과 입찰집행관 PChttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240431373&bidseq=00&releaseYn=Y&taskClCd=1경기도지사영상감시장치과업지시서 및 내역서참조9.0<NA><NA>60수요기관희망장소입고도공동수급불허<NA>N재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>1-3-2024-6410000-00006387.9952024-04-18 18:54:411432555<NA>중기간 경쟁물품 계약이행능력심사(중기부 공고-추정가격 고시금액 미만)<NA><NA><NA>159650000.02024-04-25 11:53:26-33<NA><NA>2024-04-25 11:53:26146171622영상감시장치9.0<NA>수요기관 지정장소2024-04-18 18:54:41
32024-04-18 15:26:02202404303810N조달청 또는 나라장터 자체 공고건일반N123-83-001692024년 유용미생물 생산 및 검사 재료 구입(1차)경기도 경기도동물위생시험소경기도 경기도동물위생시험소전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)서지혜2024-04-24 18:00:00공고서참조<NA>N2024-04-19 10:00:002024-04-25 14:00:002024-04-25 15:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240430381::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240430381::00::2::2<NA><NA><NA><NA><NA>20240430381-00_1713416902675_1. 소액수의 공고문[2024년 유용미생물 생산 및 검사 재료 구입(1차)].hwpx20240430381-00_1713416902682_2. 세부내역서(유용미생물 생산 및 검사 재료).xlsx<NA><NA><NA><NA><NA>NN<NA>복수예가1541118680010169818국가종합전자조달시스템(나라장터)https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240430381&bidseq=00&releaseYn=Y&taskClCd=1박경애가성소다세부내역서 참조1.0<NA><NA>45수요기관희망장소입고도공동수급불허<NA>N<NA>없음<NA><NA>90.02024-04-18 15:26:02<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA>111186800.02024-04-18 15:26:24-33<NA><NA>2024-04-18 15:26:24112352305무기수산화물1.0<NA>경기도동물위생시험소2024-04-18 15:26:02
42024-04-18 14:11:27202403433570N조달청 또는 나라장터 자체 공고건일반N6412103경기도북부동물위생시험소 가공축산물 안전성검사 장비 구입 소액수의 견적제출경기도 경기도북부동물위생시험소경기도 경기도북부동물위생시험소전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)배은직2024-04-24 18:00:00공고서참조<NA>N2024-04-19 10:00:002024-04-25 10:00:002024-04-25 11:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::3https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::4<NA><NA><NA>20240343357-00_1713416946483_공고문(가공축산물 안전성검사 장비 구입).hwpx20240343357-00_1713416946493_물품구매내역서(가공축산물 안전성검사 장비 구입).xlsx20240343357-00_1713416946497_구입시방서(가공축산물 안전성검사 장비 구입).hwpx20240343357-00_1713416946501_국문규격서(가공축산물 안전성검사 장비 구입).hwpx<NA><NA><NA>N<NA>N복수예가1542735000024863636국가종합전자조달시스템(나라장터)https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240343357&bidseq=00&releaseYn=Y&taskClCd=1정봉수왕복식진탕기물품구매내역서 및 규격서 참조1.0set<NA><NA>60수요기관희망장소입고도공동수급불허<NA>N<NA>없음<NA>1-3-2024-6412103-00000988.02024-04-18 14:11:27<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>456122002실험실용보관장또는보조용품1.0sys<NA>경기도북부동물위생시험소 북부지소2024-04-18 14:11:27
52024-04-18 14:11:27202403433570N조달청 또는 나라장터 자체 공고건일반N6412103경기도북부동물위생시험소 가공축산물 안전성검사 장비 구입 소액수의 견적제출경기도 경기도북부동물위생시험소경기도 경기도북부동물위생시험소전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)배은직2024-04-24 18:00:00공고서참조<NA>N2024-04-19 10:00:002024-04-25 10:00:002024-04-25 11:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::3https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::4<NA><NA><NA>20240343357-00_1713416946483_공고문(가공축산물 안전성검사 장비 구입).hwpx20240343357-00_1713416946493_물품구매내역서(가공축산물 안전성검사 장비 구입).xlsx20240343357-00_1713416946497_구입시방서(가공축산물 안전성검사 장비 구입).hwpx20240343357-00_1713416946501_국문규격서(가공축산물 안전성검사 장비 구입).hwpx<NA><NA><NA>N<NA>N복수예가1542735000024863636국가종합전자조달시스템(나라장터)https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240343357&bidseq=00&releaseYn=Y&taskClCd=1정봉수왕복식진탕기물품구매내역서 및 규격서 참조1.0set<NA><NA>60수요기관희망장소입고도공동수급불허<NA>N<NA>없음<NA>1-3-2024-6412103-00000988.02024-04-18 14:11:27<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>141103812왕복식진탕기1.0set<NA>경기도북부동물위생시험소2024-04-18 14:11:27
62024-04-18 14:11:27202403433570N조달청 또는 나라장터 자체 공고건일반N6412103경기도북부동물위생시험소 가공축산물 안전성검사 장비 구입 소액수의 견적제출경기도 경기도북부동물위생시험소경기도 경기도북부동물위생시험소전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)배은직2024-04-24 18:00:00공고서참조<NA>N2024-04-19 10:00:002024-04-25 10:00:002024-04-25 11:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::3https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::4<NA><NA><NA>20240343357-00_1713416946483_공고문(가공축산물 안전성검사 장비 구입).hwpx20240343357-00_1713416946493_물품구매내역서(가공축산물 안전성검사 장비 구입).xlsx20240343357-00_1713416946497_구입시방서(가공축산물 안전성검사 장비 구입).hwpx20240343357-00_1713416946501_국문규격서(가공축산물 안전성검사 장비 구입).hwpx<NA><NA><NA>N<NA>N복수예가1542735000024863636국가종합전자조달시스템(나라장터)https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240343357&bidseq=00&releaseYn=Y&taskClCd=1정봉수왕복식진탕기물품구매내역서 및 규격서 참조1.0set<NA><NA>60수요기관희망장소입고도공동수급불허<NA>N<NA>없음<NA>1-3-2024-6412103-00000988.02024-04-18 14:11:27<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>341104816진공또는원심농축기1.0sys<NA>경기도북부동물위생시험소2024-04-18 14:11:27
72024-04-18 14:11:27202403433570N조달청 또는 나라장터 자체 공고건일반N6412103경기도북부동물위생시험소 가공축산물 안전성검사 장비 구입 소액수의 견적제출경기도 경기도북부동물위생시험소경기도 경기도북부동물위생시험소전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)배은직2024-04-24 18:00:00공고서참조<NA>N2024-04-19 10:00:002024-04-25 10:00:002024-04-25 11:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::3https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240343357::00::2::4<NA><NA><NA>20240343357-00_1713416946483_공고문(가공축산물 안전성검사 장비 구입).hwpx20240343357-00_1713416946493_물품구매내역서(가공축산물 안전성검사 장비 구입).xlsx20240343357-00_1713416946497_구입시방서(가공축산물 안전성검사 장비 구입).hwpx20240343357-00_1713416946501_국문규격서(가공축산물 안전성검사 장비 구입).hwpx<NA><NA><NA>N<NA>N복수예가1542735000024863636국가종합전자조달시스템(나라장터)https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240343357&bidseq=00&releaseYn=Y&taskClCd=1정봉수왕복식진탕기물품구매내역서 및 규격서 참조1.0set<NA><NA>60수요기관희망장소입고도공동수급불허<NA>N<NA>없음<NA>1-3-2024-6412103-00000988.02024-04-18 14:11:27<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>242281712초음파세척기1.0sys<NA>경기도북부동물위생시험소2024-04-18 14:11:27
82024-04-18 09:43:40202404276400N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 제2024-14호내자장비[실내공기질 자동측정기기(이산화질소), 실내공기질팀] 구매경기도 경기도보건환경연구원경기도 경기도보건환경연구원전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)박대현2024-04-22 18:00:00공고서참조<NA>N2024-04-18 11:00:002024-04-23 10:00:002024-04-23 11:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240427640::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240427640::00::2::2<NA><NA><NA><NA><NA>20240427640-00_1713320590244_2024-14, 실내공기질자동측정기기(실내공기질팀) 공고문.hwpx20240427640-00_1713320590247_규격서(실내공기질자동측정기기).hwpx<NA><NA><NA><NA><NA>Y<NA>N복수예가1544352480039568000국가종합전자조달시스템(나라장터)https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240427640&bidseq=00&releaseYn=Y&taskClCd=1경기도보건환경연구원장대기오염측정기규격서 참조1.0set<NA><NA>120현장설치도공동수급불허<NA>N재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.<NA><NA>1-3-2024-6410578-00002488.02024-04-18 09:43:40<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>141113199대기오염측정기1.0set<NA>경기도보건환경연구원2024-04-18 09:43:40
92024-04-17 17:13:43202404289120N조달청 또는 나라장터 자체 공고건일반N소득자원연구소-2528(2024.04.09.)경기 특화작목 RD인프라 구축을 위한 온실환경제어시스템 구입경기도 경기도농업기술원경기도 경기도농업기술원전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)연경화2024-04-23 18:00:00공고서참조<NA>N2024-04-19 10:00:002024-04-24 10:00:002024-04-24 11:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240428912::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240428912::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240428912::00::2::3<NA><NA><NA><NA>20240428912-00_1713341569027_★1.공고문.hwpx20240428912-00_1713341569034_물품규격서(온실환경제어시스템).hwpx20240428912-00_1713341569036_물품내역서.xlsx<NA><NA><NA><NA>YN<NA>복수예가1542336400021240000국가종합전자조달시스템(나라장터)https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240428912&bidseq=00&releaseYn=Y&taskClCd=1경기도농업기술원장융복합온실장비물품규격서 참고1.0<NA><NA>45납품장소 입고도공동수급불허<NA>N재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.<NA><NA>1-3-2024-6410563-00003488.02024-04-17 17:13:43<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA>123364000.02024-04-24 17:37:48-33<NA><NA>2024-04-24 17:37:48199211023융복합온실장비1.0<NA>수요기관 지정장소2024-04-17 17:13:43
입찰공고일시입찰공고번호입찰공고차수재공고여부등록유형명공고종류명국제입찰여부참조번호입찰공고명공고기관명수요기관명입찰방식명계약체결방법명집행관명입찰참가자격등록마감일시공동수급협정서접수방식공동수급협정마감일시공동수급업체지역제한여부입찰개시일시입찰마감일시개찰일시공고규격서URL1공고규격서URL2공고규격서URL3공고규격서URL4공고규격서URL5공고규격서URL6공고규격서URL7공고규격파일명1공고규격파일명2공고규격파일명3공고규격파일명4공고규격파일명5공고규격파일명6공고규격파일명7재입찰허용여부물품분류제한여부제조여부예정가격결정방법명총예가건수추첨예가건수배정예산금액추정가격개찰장소입찰공고상세URL채권자명세부품명물품규격명물품수량물품단위물품단가납품기한일시납품일수인도조건명공동수급방식명지사투찰허용여부지명경쟁여부예비가격재작성방법명실적신청서접수방법명실적신청서접수일시발주계획통합번호낙찰하한율등록일시사전규격등록번호정보화사업여부낙찰방법명변경일시변경공고사유재입찰개찰일시입찰분류아이디[기초금액]기초금액[기초금액]기초금액공개일시[기초금액]예비가격범위시작률[기초금액]예비가격범위종료율[기초금액]비고1[기초금액]가용금액[기초금액]입력일시[구매대상물품]물품순번[구매대상물품]물품분류번호[구매대상물품]품명[구매대상물품]수량[구매대상물품]단위[구매대상물품]단가[구매대상물품]납품장소[구매대상물품]공고게시일시
14782019-01-24 15:35:45201901251730N조달청 또는 나라장터 자체 공고건일반N경기도해양수산자원연구소 공고-4경기도해양수산자원연구소(안산) 시험어류사육지 난방유류 입찰 재공고경기도 경기도해양수산자원연구소경기도 경기도해양수산자원연구소전자입찰수의(단가)소액수의한승훈2019-01-28 18:00:00공고서참조<NA>N2019-01-24 17:00:002019-01-29 10:00:002019-01-29 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190125173::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190125173::00::2::2<NA><NA><NA><NA><NA>20190125173-00_1548311574389_경기도해양수산자원연구소 시험어류사육지 난방용 유류 구매(소액수의)-공고문.hwp20190125173-00_1548311574418_2019년 난방용 유류(경유) 단가계약 특수조건.hwp<NA><NA><NA><NA><NA>Y<NA>N복수예가1542814152025583200국가종합전자조달시스템(나라장터)http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190125173&bidseq=00&releaseYn=Y&taskClCd=1경기도해양수산자원연구소장경유L22000.0L<NA>2019-12-31 00:00:00<NA>납품장소도공동수급불허NN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.<NA><NA><NA>88.02019-01-24 15:35:45<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA>128141520.02019-01-24 15:36:50-33<NA><NA>2019-01-24 15:36:50115101505경유22000.0L<NA>안산시 단원구 개건너길 712019-01-24 15:35:45
14792019-01-23 17:44:35201901233530N조달청 또는 나라장터 자체 공고건일반N22193006400구조장비(제트스키 등 4종) 구매조달청 인천지방조달청경기도 소방재난본부전자입찰제한(총액)손아롬2019-01-31 18:00:00공고서참조<NA>N2019-01-30 10:00:002019-02-01 10:00:002019-02-01 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190123353::00::1::3http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190123353::00::2::2<NA><NA><NA><NA><NA>20190123353-00_1548229980379_지방_일반_고시금액미만_소기업_지역.hwp20190123353-00_1548222394671_제트스키 등 4종 규격서.hwp<NA><NA><NA><NA><NA>Y<NA>N복수예가1548856824079664182국가종합전자조달시스템(나라장터)http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190123353&bidseq=00&releaseYn=Y&taskClCd=1대한민국정부인천지방조달청장수상오토바이규격서 참조1.087630600<NA>60수요기관희망장소입고도<NA><NA>N재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.<NA><NA><NA>84.2452019-01-23 17:44:35671889N적격심사(추정가격 고시금액미만)<NA><NA><NA>184800000.02019-01-29 10:31:29-33<NA>876306002019-01-29 10:31:29149141699수상오토바이1.087630600수요기관 지정장소2019-01-23 17:44:35
14802019-01-22 16:37:27201901212700N조달청 또는 나라장터 자체 공고건일반N22193005400개인안전장비(인명구조경보기) 구매조달청 인천지방조달청경기도 소방재난본부전자입찰제한(총액)김주원2019-01-29 18:00:00공고서참조<NA>N2019-01-28 10:00:002019-01-30 10:00:002019-01-30 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190121270::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190121270::00::2::2<NA><NA><NA><NA><NA>20190121270-00_1548139507625_입찰공고서(인명구조경보기).hwp20190121270-00_1548139507630_개인안전장비(인명구조경보기) 규격서.hwp<NA><NA><NA><NA><NA>Y<NA>N복수예가154200119040180274500국가종합전자조달시스템(나라장터)http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190121270&bidseq=00&releaseYn=Y&taskClCd=1대한민국정부인천지방조달청장구조경보기규격서 참조1.0198301950<NA>60수요기관희망장소입고도<NA><NA>N재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.<NA><NA><NA>84.2452019-01-22 16:37:27672444N적격심사(추정가격 고시금액미만)<NA><NA><NA>1188000000.02019-01-25 14:45:54-33<NA>1983019502019-01-25 14:45:54146161787구조경보기1.0198301950수요기관 별도 지정2019-01-22 16:37:27
14812019-01-21 16:51:53201901114410N조달청 또는 나라장터 자체 공고건일반N22196001400가납~상수간 도로확포장공사 관급자재(혼합골재)조달청 인천지방조달청경기도 경기도건설본부전자입찰제한(총액)김남규2019-01-30 18:00:00공고서참조<NA>N2019-01-29 14:00:002019-01-31 14:00:002019-01-31 15:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190111441::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190111441::00::2::2<NA><NA><NA><NA><NA>20190111441-00_1548048378940_(지방ㅡ중기간ㅡ10억미만ㅡ하차도ㅡ공동불가)ㅡ★혼합골재ㅡ(계)22183-2489ㅡ(구)22186-0874ㅡMJ20181126.hwp20190111441-00_1548048378944_(공개)시방서,내역서-190108.zip<NA><NA><NA><NA><NA>Y<NA>Y복수예가1541075496860970240000국가종합전자조달시스템(나라장터)http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190111441&bidseq=00&releaseYn=Y&taskClCd=1대한민국정부인천지방조달청장혼합골재Φ40mm 이하60640.0176002019-06-30 00:00:000납품장소 하차도<NA><NA>N재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.<NA><NA><NA>87.9952019-01-21 16:51:53671033N중기간 경쟁물품 계약이행능력심사(조달청 공고-추정가격 10억미만 고시금액 이상)<NA><NA><NA>11034300000.02019-01-25 11:06:34-33<NA>10672640002019-01-25 11:06:34130109902혼합골재60640.017600경기도 양주시 광적면 석우리 일원2019-01-21 16:51:53
14822019-01-16 18:15:15201901156290N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 제2019-25호2019년 실험용 가스 연중 단가계약경기도경기도 경기도보건환경연구원전자입찰제한(총액)김효진2019-01-21 18:00:00공고서참조<NA>N2019-01-17 10:00:002019-01-22 10:00:002019-01-22 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190115629::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190115629::00::2::2http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190115629::00::2::3<NA><NA><NA><NA>20190115629-00_1547630029667_입찰공고서_2019년 실험용 가스 연중 단가계약.hwp20190115629-00_1547630029673_내역서.xlsx20190115629-00_1547630029676_2019년 실험용 분석가스 단가계약 특수조건.hwp<NA><NA><NA><NA>YN<NA>복수예가1549863050089664090경기도 회계과 입찰집행관 PChttp://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190115629&bidseq=00&releaseYn=Y&taskClCd=1경기도지사질소가스붙임 내역서 참조1.0<NA>2019-12-31 00:00:00<NA>과업내역에 따름공동수급불허NN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>1-3-2019-6410000-00000184.2452019-01-16 18:15:15669600<NA>적격심사(추정가격 고시금액미만)<NA><NA><NA>198630500.02019-01-16 18:16:07-33<NA><NA>2019-01-16 18:16:07112141903질소가스1.0<NA>수요부서 지정장소2019-01-16 18:15:15
14832019-01-16 10:51:13201901145580N조달청 또는 나라장터 자체 공고건일반N경기도입찰공고 제2019-24호2019년도 가축배합사료 구입(단가계약)경기도경기도 경기도축산진흥센터전자입찰제한(총액)황선애2019-01-23 18:00:00공고서참조<NA>N2019-01-17 10:00:002019-01-24 10:00:002019-01-24 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190114558::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190114558::00::2::2http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190114558::00::2::3<NA><NA><NA><NA>20190114558-00_1547603246346_입찰공고문(2019년도 가축배합사료 구입 단가계약).hwp20190114558-00_1547603329143_2019년 배합사료 소요량 및 규격서.xls20190114558-00_1547603329151_특수조건(배합사료).hwp<NA><NA><NA><NA>YN<NA>복수예가154185414000168558181경기도 회계과 입찰집행관 PChttp://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190114558&bidseq=00&releaseYn=Y&taskClCd=1경기도지사배합사료사전 규격서 참조1.0<NA>2019-12-31 00:00:00<NA>납품장소 하차도공동수급불허NN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>1-3-2019-6410000-00000284.2452019-01-16 10:51:13670727<NA>적격심사(추정가격 고시금액미만)<NA><NA><NA>1185414000.02019-01-16 10:51:48-33<NA><NA>2019-01-16 10:51:48110121598배합사료1.0<NA>경기도축산진흥센터2019-01-16 10:51:13
14842019-01-15 16:05:04201901122560N조달청 또는 나라장터 자체 공고건일반N경기도동물위생시험소유용미생물 운반용기(말통) 단가구입(소액수의견적제출공고)경기도 경기도동물위생시험소경기도 경기도동물위생시험소전자입찰수의(단가)소액수의김진경2019-01-20 18:00:00공고서참조<NA>N2019-01-15 17:00:002019-01-21 10:00:002019-01-21 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190112256::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190112256::00::2::2<NA><NA><NA><NA><NA>20190112256-00_1547453439137_공고문.hwp20190112256-00_1547453439147_구매규격서.hwp<NA><NA><NA><NA><NA>NN<NA>복수예가1544500000040909090국가종합전자조달시스템(나라장터)http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190112256&bidseq=00&releaseYn=Y&taskClCd=1김종훈수통구매규격서 참조10000.0<NA>2019-12-10 00:00:0030수요기관희망장소입고도공동수급불허NN<NA><NA><NA>1-3-2019-6412102-00000188.02019-01-15 16:05:05<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA>14500.02019-01-15 16:05:50-33<NA><NA>2019-01-15 16:05:50149121593수통10000.0<NA>경기도동물위생시험소2019-01-15 16:05:04
14852019-01-14 17:50:55201901123190N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 제 2019-20 호구조장비(구조장갑) 구매경기도 소방재난본부경기도 소방재난본부전자입찰제한(총액)지재금2019-01-21 18:00:00공고서참조<NA>N2019-01-17 10:00:002019-01-22 10:00:002019-01-22 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190112319::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190112319::00::2::2<NA><NA><NA><NA><NA>20190112319-00_1547454817909_입찰공고문.hwp20190112319-00_1547454817915_규격서.hwp<NA><NA><NA><NA><NA>YN<NA>복수예가1547540000068545454국가종합전자조달시스템(나라장터)http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190112319&bidseq=00&releaseYn=Y&taskClCd=1경기도소방재난본부장방호용장갑규격서 참조1300.0<NA><NA>40수요기관희망장소입고도공동수급불허NN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>1-3-2019-6412230-00000184.2452019-01-14 17:50:55668917<NA>적격심사(추정가격 고시금액미만)<NA><NA><NA>175400000.02019-01-18 15:43:14-33<NA><NA>2019-01-18 15:43:14146181504호신용장갑1300.0<NA>수요부서 지정장소2019-01-14 17:50:55
14862019-01-11 13:35:23201901101110N조달청 또는 나라장터 자체 공고건일반N경기도해양수산자원연구소 공고 제2019-3호경기도해양수산자원연구소(안산) 시험어류사육지 난방유류 구입경기도 경기도해양수산자원연구소경기도 경기도해양수산자원연구소전자입찰수의(단가)소액수의한승훈2019-01-15 18:00:00공고서참조<NA>N2019-01-11 17:00:002019-01-16 10:00:002019-01-16 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190110111::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190110111::00::2::2<NA><NA><NA><NA><NA>20190110111-00_1547181216441_공고문-경기도해양수산자원연구소 시험어류사육지 난방용 유류 구매(소액수의).hwp20190110111-00_1547181216449_2019년 난방용 유류(경유) 단가계약 특수조건.hwp<NA><NA><NA><NA><NA>Y<NA>N복수예가1542814152025583200국가종합전자조달시스템(나라장터)http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190110111&bidseq=00&releaseYn=Y&taskClCd=1경기도해양수산자원연구소장경유경유22.0L<NA>2019-12-31 00:00:00<NA>과업내역에 따름공동수급불허NN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.<NA><NA>1-3-2019-6411789-000001<NA>2019-01-11 13:35:23<NA><NA>최저가낙찰자결정<NA><NA><NA>11279.02019-01-11 13:36:28-33<NA><NA>2019-01-11 13:36:28115101505경유22.0L<NA>수요기관 희망장소2019-01-11 13:35:23
14872019-01-07 18:01:28201901050840N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 2019-9 호구급장비(기계식가슴압박장비) 구매경기도 소방재난본부경기도 소방재난본부전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)지재금2019-01-13 18:00:00공고서참조<NA>N2019-01-10 10:00:002019-01-14 10:00:002019-01-14 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190105084::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190105084::00::2::2<NA><NA><NA><NA><NA>20190105084-00_1546851519453_견적제출안내공고.hwp20190105084-00_1546851519474_규격서.hwp<NA><NA><NA><NA><NA>YN<NA>복수예가1543564000032400000국가종합전자조달시스템(나라장터)http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190105084&bidseq=00&releaseYn=Y&taskClCd=1경기도소방재난본부장심폐인공소생기규격서 참조1.0<NA><NA>60수요기관희망장소입고도공동수급불허NN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.<NA><NA>1-3-2019-6412230-00000288.02019-01-07 18:01:28<NA><NA>제한적최저가(낙찰하한율)<NA><NA><NA>135640000.02019-01-11 16:37:41-33<NA><NA>2019-01-11 16:37:41142172103응급심폐소생기또는흡입기키트1.0<NA>수요부서 지정장소2019-01-07 18:01:28