Overview

Dataset statistics

Number of variables98
Number of observations3476
Missing cells86190
Missing cells (%)25.3%
Duplicate rows3
Duplicate rows (%)0.1%
Total size in memory2.7 MiB
Average record size in memory811.0 B

Variable types

DateTime14
Numeric12
Boolean16
Categorical36
Text20

Dataset

Description입찰공고목록 정보(용역부분)
Author조달청
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=MPQR5KWEZ6YV0LABW5T529117513&infSeq=1

Alerts

등록유형명 has constant value ""Constant
내역입찰여부 has constant value ""Constant
물품분류제한여부 has constant value ""Constant
업종제한여부 has constant value ""Constant
Dataset has 3 (0.1%) duplicate rowsDuplicates
재공고여부 is highly imbalanced (52.2%)Imbalance
공고종류명 is highly imbalanced (51.8%)Imbalance
국제입찰여부 is highly imbalanced (62.6%)Imbalance
입찰방식명 is highly imbalanced (86.7%)Imbalance
공동수급업체지역제한여부 is highly imbalanced (78.1%)Imbalance
입찰참가제한여부 is highly imbalanced (99.6%)Imbalance
조달청일반용역여부 is highly imbalanced (63.1%)Imbalance
지사투찰허용여부 is highly imbalanced (92.5%)Imbalance
지명경쟁여부 is highly imbalanced (92.5%)Imbalance
실적경쟁여부 is highly imbalanced (96.9%)Imbalance
PQ심사여부 is highly imbalanced (56.4%)Imbalance
TP심사여부 is highly imbalanced (99.3%)Imbalance
공고설명여부 is highly imbalanced (99.6%)Imbalance
변경일시 is highly imbalanced (94.6%)Imbalance
[구매대상물품]물품순번 is highly imbalanced (67.3%)Imbalance
[구매대상물품]품명 is highly imbalanced (88.7%)Imbalance
[구매대상물품]세부품명 is highly imbalanced (88.8%)Imbalance
[구매대상물품]물품규격명 is highly imbalanced (89.7%)Imbalance
[구매대상물품]수량 is highly imbalanced (67.3%)Imbalance
[구매대상물품]단위 is highly imbalanced (67.3%)Imbalance
[구매대상물품]납품기한일시 is highly imbalanced (93.0%)Imbalance
[구매대상물품]납품장소 is highly imbalanced (89.6%)Imbalance
[구매대상물품]인도조건명 is highly imbalanced (84.6%)Imbalance
입찰참가자격등록마감일시 has 114 (3.3%) missing valuesMissing
공동수급협정마감일시 has 2456 (70.7%) missing valuesMissing
입찰개시일시 has 114 (3.3%) missing valuesMissing
입찰마감일시 has 114 (3.3%) missing valuesMissing
공고규격서URL1 has 318 (9.1%) missing valuesMissing
공고규격서URL2 has 566 (16.3%) missing valuesMissing
공고규격서URL3 has 1738 (50.0%) missing valuesMissing
공고규격서URL4 has 3072 (88.4%) missing valuesMissing
공고규격서URL5 has 3357 (96.6%) missing valuesMissing
공고규격서URL6 has 3450 (99.3%) missing valuesMissing
공고규격파일명1 has 318 (9.1%) missing valuesMissing
공고규격파일명2 has 566 (16.3%) missing valuesMissing
공고규격파일명3 has 1738 (50.0%) missing valuesMissing
공고규격파일명4 has 3072 (88.4%) missing valuesMissing
공고규격파일명5 has 3357 (96.6%) missing valuesMissing
공고규격파일명6 has 3450 (99.3%) missing valuesMissing
PQ신청서접수일시 has 3235 (93.1%) missing valuesMissing
내역입찰여부 has 3447 (99.2%) missing valuesMissing
입찰참가제한여부 has 246 (7.1%) missing valuesMissing
개찰장소 has 90 (2.6%) missing valuesMissing
설명회실시일시 has 3455 (99.4%) missing valuesMissing
설명회실시장소 has 3438 (98.9%) missing valuesMissing
물품분류제한여부 has 3230 (92.9%) missing valuesMissing
지사투찰허용여부 has 1826 (52.5%) missing valuesMissing
실적신청서접수일시 has 3368 (96.9%) missing valuesMissing
낙찰하한율 has 1050 (30.2%) missing valuesMissing
사전규격등록번호 has 1329 (38.2%) missing valuesMissing
정보화사업여부 has 3230 (92.9%) missing valuesMissing
업종제한여부 has 615 (17.7%) missing valuesMissing
변경공고사유 has 3060 (88.0%) missing valuesMissing
[기초금액]기초금액 has 2278 (65.5%) missing valuesMissing
[기초금액]기초금액공개일시 has 2278 (65.5%) missing valuesMissing
[기초금액]가용금액 has 3456 (99.4%) missing valuesMissing
[기초금액]입력일시 has 2278 (65.5%) missing valuesMissing
[구매대상물품]물품분류번호 has 3268 (94.0%) missing valuesMissing
[구매대상물품]세부품명번호 has 3268 (94.0%) missing valuesMissing
[구매대상물품]단가 has 3268 (94.0%) missing valuesMissing
[구매대상물품]납품일수 has 3384 (97.4%) missing valuesMissing
[구매대상물품]공고게시일시 has 3268 (94.0%) missing valuesMissing
입찰공고차수 has 3059 (88.0%) zerosZeros

Reproduction

Analysis started2024-04-29 13:25:37.776228
Analysis finished2024-04-29 13:25:41.302462
Duration3.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct3472
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
Minimum2019-01-02 10:57:21
Maximum2024-04-24 17:40:31
2024-04-29T22:25:41.375213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:25:41.505646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입찰공고번호
Real number (ℝ)

Distinct3209
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0205116 × 1010
Minimum2.01901 × 1010
Maximum2.024044 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:25:41.641406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.01901 × 1010
5-th percentile2.0190228 × 1010
Q12.0191122 × 1010
median2.0201004 × 1010
Q32.0210616 × 1010
95-th percentile2.0230441 × 1010
Maximum2.024044 × 1010
Range50339652
Interquartile range (IQR)19493739

Descriptive statistics

Standard deviation13331200
Coefficient of variation (CV)0.00065979327
Kurtosis-0.024756801
Mean2.0205116 × 1010
Median Absolute Deviation (MAD)9705895
Skewness0.84555534
Sum7.0232984 × 1013
Variance1.7772088 × 1014
MonotonicityNot monotonic
2024-04-29T22:25:41.773282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190345067 6
 
0.2%
20210616941 4
 
0.1%
20230517419 4
 
0.1%
20210316883 3
 
0.1%
20210440901 3
 
0.1%
20210915456 3
 
0.1%
20210530562 3
 
0.1%
20210400014 3
 
0.1%
20210511555 3
 
0.1%
20190112672 3
 
0.1%
Other values (3199) 3441
99.0%
ValueCountFrequency (%)
20190100195 1
< 0.1%
20190100242 1
< 0.1%
20190100475 1
< 0.1%
20190101416 1
< 0.1%
20190101886 2
0.1%
20190102015 1
< 0.1%
20190102650 2
0.1%
20190102707 2
0.1%
20190102779 1
< 0.1%
20190103066 1
< 0.1%
ValueCountFrequency (%)
20240439847 1
< 0.1%
20240438950 1
< 0.1%
20240438602 1
< 0.1%
20240431580 1
< 0.1%
20240431098 1
< 0.1%
20240431087 1
< 0.1%
20240431081 1
< 0.1%
20240431033 1
< 0.1%
20240430927 1
< 0.1%
20240430890 1
< 0.1%

입찰공고차수
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13291139
Minimum0
Maximum5
Zeros3059
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:25:41.887821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.38853902
Coefficient of variation (CV)2.9232936
Kurtosis20.626995
Mean0.13291139
Median Absolute Deviation (MAD)0
Skewness3.7046332
Sum462
Variance0.15096257
MonotonicityNot monotonic
2024-04-29T22:25:41.979794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 3059
88.0%
1 384
 
11.0%
2 25
 
0.7%
3 5
 
0.1%
4 2
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 3059
88.0%
1 384
 
11.0%
2 25
 
0.7%
3 5
 
0.1%
4 2
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 2
 
0.1%
3 5
 
0.1%
2 25
 
0.7%
1 384
 
11.0%
0 3059
88.0%

재공고여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3118 
True
358 
ValueCountFrequency (%)
False 3118
89.7%
True 358
 
10.3%
2024-04-29T22:25:42.096188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

등록유형명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
조달청 또는 나라장터 자체 공고건
3476 

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 3476
100.0%

Length

2024-04-29T22:25:42.197575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:25:42.283329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조달청 3476
20.0%
또는 3476
20.0%
나라장터 3476
20.0%
자체 3476
20.0%
공고건 3476
20.0%

공고종류명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
일반
2707 
긴급
333 
취소
296 
변경
 
120
재입찰
 
20

Length

Max length3
Median length2
Mean length2.0057537
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 2707
77.9%
긴급 333
 
9.6%
취소 296
 
8.5%
변경 120
 
3.5%
재입찰 20
 
0.6%

Length

2024-04-29T22:25:42.379696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:25:42.477790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 2707
77.9%
긴급 333
 
9.6%
취소 296
 
8.5%
변경 120
 
3.5%
재입찰 20
 
0.6%

국제입찰여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3225 
True
 
251
ValueCountFrequency (%)
False 3225
92.8%
True 251
 
7.2%
2024-04-29T22:25:42.567952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2902
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
2024-04-29T22:25:42.796192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length32
Mean length17.548331
Min length3

Characters and Unicode

Total characters60998
Distinct characters135
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

Unique2569 ?
Unique (%)73.9%

Sample

1st row경기도 입찰공고 제2024-444호
2nd row경기도 입찰공고 제2024-445호
3rd row경기도 입찰공고 제2024-266호
4th row경기도 입찰공고 제2024-443호
5th row경기도 입찰공고 제2024-396호
ValueCountFrequency (%)
경기도 1931
22.1%
입찰공고 1889
21.6%
공고 570
 
6.5%
경기도건설본부 411
 
4.7%
경기도의회사무처 62
 
0.7%
경기도입찰공고 61
 
0.7%
경기도공고 47
 
0.5%
제2021 42
 
0.5%
124-83-00269 39
 
0.4%
경기도인재개발원 34
 
0.4%
Other values (2740) 3660
41.8%
2024-04-29T22:25:43.398633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6841
 
11.2%
0 5698
 
9.3%
5298
 
8.7%
1 3778
 
6.2%
- 3281
 
5.4%
2791
 
4.6%
2708
 
4.4%
2706
 
4.4%
2586
 
4.2%
2579
 
4.2%
Other values (125) 22732
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26811
44.0%
Decimal Number 25293
41.5%
Space Separator 5298
 
8.7%
Dash Punctuation 3281
 
5.4%
Close Punctuation 112
 
0.2%
Open Punctuation 112
 
0.2%
Other Punctuation 60
 
0.1%
Uppercase Letter 31
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2791
10.4%
2708
10.1%
2706
10.1%
2586
9.6%
2579
9.6%
2551
9.5%
2550
9.5%
1959
7.3%
1958
7.3%
417
 
1.6%
Other values (100) 4006
14.9%
Decimal Number
ValueCountFrequency (%)
2 6841
27.0%
0 5698
22.5%
1 3778
14.9%
9 1771
 
7.0%
3 1689
 
6.7%
5 1424
 
5.6%
4 1101
 
4.4%
6 1064
 
4.2%
8 1022
 
4.0%
7 905
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
D 5
16.1%
Y 5
16.1%
Z 5
16.1%
F 5
16.1%
A 4
12.9%
C 3
9.7%
B 3
9.7%
E 1
 
3.2%
Close Punctuation
ValueCountFrequency (%)
] 94
83.9%
) 18
 
16.1%
Open Punctuation
ValueCountFrequency (%)
[ 94
83.9%
( 18
 
16.1%
Space Separator
ValueCountFrequency (%)
5298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3281
100.0%
Other Punctuation
ValueCountFrequency (%)
. 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34156
56.0%
Hangul 26811
44.0%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2791
10.4%
2708
10.1%
2706
10.1%
2586
9.6%
2579
9.6%
2551
9.5%
2550
9.5%
1959
7.3%
1958
7.3%
417
 
1.6%
Other values (100) 4006
14.9%
Common
ValueCountFrequency (%)
2 6841
20.0%
0 5698
16.7%
5298
15.5%
1 3778
11.1%
- 3281
9.6%
9 1771
 
5.2%
3 1689
 
4.9%
5 1424
 
4.2%
4 1101
 
3.2%
6 1064
 
3.1%
Other values (7) 2211
 
6.5%
Latin
ValueCountFrequency (%)
D 5
16.1%
Y 5
16.1%
Z 5
16.1%
F 5
16.1%
A 4
12.9%
C 3
9.7%
B 3
9.7%
E 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34187
56.0%
Hangul 26811
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6841
20.0%
0 5698
16.7%
5298
15.5%
1 3778
11.1%
- 3281
9.6%
9 1771
 
5.2%
3 1689
 
4.9%
5 1424
 
4.2%
4 1101
 
3.2%
6 1064
 
3.1%
Other values (15) 2242
 
6.6%
Hangul
ValueCountFrequency (%)
2791
10.4%
2708
10.1%
2706
10.1%
2586
9.6%
2579
9.6%
2551
9.5%
2550
9.5%
1959
7.3%
1958
7.3%
417
 
1.6%
Other values (100) 4006
14.9%
Distinct2506
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
2024-04-29T22:25:43.680644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length28.54229
Min length12

Characters and Unicode

Total characters99213
Distinct characters572
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1884 ?
Unique (%)54.2%

Sample

1st row하송우~마산 도로확포장공사 건설폐기물처리용역
2nd row구청사 설비동 흡수식 냉온수기 세관 용역
3rd row하송우~마산 도로확포장공사 건설폐기물처리용역
4th row2030 경기도 주거종합계획 재검토 연구 용역
5th row2030 경기도 주거종합계획 재검토 연구 용역
ValueCountFrequency (%)
용역 1328
 
6.7%
경기도 684
 
3.5%
645
 
3.3%
2021년 429
 
2.2%
365
 
1.9%
2020년 354
 
1.8%
2019년 319
 
1.6%
실시설계용역 231
 
1.2%
2023년 198
 
1.0%
폐기물처리용역 198
 
1.0%
Other values (3494) 14926
75.9%
2024-04-29T22:25:44.104822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16207
 
16.3%
2 3269
 
3.3%
3208
 
3.2%
3195
 
3.2%
2588
 
2.6%
2429
 
2.4%
2248
 
2.3%
0 2129
 
2.1%
1672
 
1.7%
1563
 
1.6%
Other values (562) 60705
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70912
71.5%
Space Separator 16207
 
16.3%
Decimal Number 8878
 
8.9%
Close Punctuation 958
 
1.0%
Open Punctuation 956
 
1.0%
Uppercase Letter 662
 
0.7%
Other Punctuation 288
 
0.3%
Math Symbol 209
 
0.2%
Dash Punctuation 81
 
0.1%
Lowercase Letter 54
 
0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3208
 
4.5%
3195
 
4.5%
2588
 
3.6%
2429
 
3.4%
2248
 
3.2%
1672
 
2.4%
1563
 
2.2%
1536
 
2.2%
1302
 
1.8%
1219
 
1.7%
Other values (496) 49952
70.4%
Uppercase Letter
ValueCountFrequency (%)
S 87
13.1%
P 63
 
9.5%
A 50
 
7.6%
Q 46
 
6.9%
C 45
 
6.8%
T 44
 
6.6%
I 43
 
6.5%
B 40
 
6.0%
D 31
 
4.7%
K 30
 
4.5%
Other values (14) 183
27.6%
Lowercase Letter
ValueCountFrequency (%)
o 17
31.5%
i 7
13.0%
p 4
 
7.4%
n 3
 
5.6%
c 3
 
5.6%
g 3
 
5.6%
a 3
 
5.6%
e 3
 
5.6%
h 3
 
5.6%
b 2
 
3.7%
Other values (3) 6
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 3269
36.8%
0 2129
24.0%
1 1479
16.7%
3 630
 
7.1%
9 607
 
6.8%
4 172
 
1.9%
7 162
 
1.8%
5 158
 
1.8%
8 154
 
1.7%
6 118
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 155
53.8%
· 76
26.4%
. 48
 
16.7%
/ 6
 
2.1%
3
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 848
88.5%
] 92
 
9.6%
17
 
1.8%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 846
88.5%
[ 92
 
9.6%
17
 
1.8%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 207
99.0%
+ 2
 
1.0%
Space Separator
ValueCountFrequency (%)
16207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Final Punctuation
ValueCountFrequency (%)
6
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70904
71.5%
Common 27585
 
27.8%
Latin 716
 
0.7%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3208
 
4.5%
3195
 
4.5%
2588
 
3.7%
2429
 
3.4%
2248
 
3.2%
1672
 
2.4%
1563
 
2.2%
1536
 
2.2%
1302
 
1.8%
1219
 
1.7%
Other values (492) 49944
70.4%
Latin
ValueCountFrequency (%)
S 87
 
12.2%
P 63
 
8.8%
A 50
 
7.0%
Q 46
 
6.4%
C 45
 
6.3%
T 44
 
6.1%
I 43
 
6.0%
B 40
 
5.6%
D 31
 
4.3%
K 30
 
4.2%
Other values (27) 237
33.1%
Common
ValueCountFrequency (%)
16207
58.8%
2 3269
 
11.9%
0 2129
 
7.7%
1 1479
 
5.4%
) 848
 
3.1%
( 846
 
3.1%
3 630
 
2.3%
9 607
 
2.2%
~ 207
 
0.8%
4 172
 
0.6%
Other values (19) 1191
 
4.3%
Han
ValueCountFrequency (%)
3
37.5%
2
25.0%
2
25.0%
1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70902
71.5%
ASCII 28178
 
28.4%
None 112
 
0.1%
Punctuation 11
 
< 0.1%
CJK 8
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16207
57.5%
2 3269
 
11.6%
0 2129
 
7.6%
1 1479
 
5.2%
) 848
 
3.0%
( 846
 
3.0%
3 630
 
2.2%
9 607
 
2.2%
~ 207
 
0.7%
4 172
 
0.6%
Other values (48) 1784
 
6.3%
Hangul
ValueCountFrequency (%)
3208
 
4.5%
3195
 
4.5%
2588
 
3.7%
2429
 
3.4%
2248
 
3.2%
1672
 
2.4%
1563
 
2.2%
1536
 
2.2%
1302
 
1.8%
1219
 
1.7%
Other values (491) 49942
70.4%
None
ValueCountFrequency (%)
· 76
67.9%
17
 
15.2%
17
 
15.2%
1
 
0.9%
1
 
0.9%
Punctuation
ValueCountFrequency (%)
6
54.5%
3
27.3%
2
 
18.2%
CJK
ValueCountFrequency (%)
3
37.5%
2
25.0%
2
25.0%
1
 
12.5%
Compat Jamo
ValueCountFrequency (%)
2
100.0%

공고기관명
Categorical

Distinct49
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
경기도
1660 
경기도청 북부청사
464 
경기도 경기도건설본부
415 
조달청 인천지방조달청
213 
경기도 경기도산림환경연구소
 
90
Other values (44)
634 

Length

Max length16
Median length14
Mean length7.0169735
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 1660
47.8%
경기도청 북부청사 464
 
13.3%
경기도 경기도건설본부 415
 
11.9%
조달청 인천지방조달청 213
 
6.1%
경기도 경기도산림환경연구소 90
 
2.6%
경기도남한산성세계유산센터 72
 
2.1%
경기도 의회사무처 70
 
2.0%
경기도 경기도농업기술원 47
 
1.4%
경기도 소방재난본부 42
 
1.2%
경기도 경기도인재개발원 40
 
1.2%
Other values (39) 363
 
10.4%

Length

2024-04-29T22:25:44.245772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2665
51.3%
북부청사 464
 
8.9%
경기도청 464
 
8.9%
경기도건설본부 415
 
8.0%
조달청 275
 
5.3%
인천지방조달청 213
 
4.1%
경기도산림환경연구소 90
 
1.7%
경기도남한산성세계유산센터 72
 
1.4%
의회사무처 70
 
1.3%
경기도농업기술원 47
 
0.9%
Other values (40) 421
 
8.1%

수요기관명
Categorical

Distinct47
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
경기도
1195 
경기도 경기도건설본부
882 
경기도청 북부청사
497 
경기도 소방재난본부
 
119
경기도 의회사무처
 
115
Other values (42)
668 

Length

Max length17
Median length16
Mean length8.1383774
Min length3

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 1195
34.4%
경기도 경기도건설본부 882
25.4%
경기도청 북부청사 497
14.3%
경기도 소방재난본부 119
 
3.4%
경기도 의회사무처 115
 
3.3%
경기도남한산성세계유산센터 97
 
2.8%
경기도 경기도산림환경연구소 94
 
2.7%
경기도 경기도인재개발원 56
 
1.6%
경기도 경기도농업기술원 54
 
1.6%
경기도 경기도수자원본부 45
 
1.3%
Other values (37) 322
 
9.3%

Length

2024-04-29T22:25:44.384836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 2882
50.9%
경기도건설본부 885
 
15.6%
경기도청 497
 
8.8%
북부청사 497
 
8.8%
소방재난본부 119
 
2.1%
의회사무처 115
 
2.0%
경기도남한산성세계유산센터 97
 
1.7%
경기도산림환경연구소 94
 
1.7%
경기도인재개발원 56
 
1.0%
경기도농업기술원 54
 
1.0%
Other values (38) 367
 
6.5%

입찰방식명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
전자입찰
3318 
직찰
 
85
전자시담
 
44
직찰/우편
 
15
직찰/우편/상시
 
9

Length

Max length8
Median length4
Mean length3.9672037
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전자입찰 3318
95.5%
직찰 85
 
2.4%
전자시담 44
 
1.3%
직찰/우편 15
 
0.4%
직찰/우편/상시 9
 
0.3%
우편/상시 5
 
0.1%

Length

2024-04-29T22:25:44.537363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:25:44.656094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전자입찰 3318
95.5%
직찰 85
 
2.4%
전자시담 44
 
1.3%
직찰/우편 15
 
0.4%
직찰/우편/상시 9
 
0.3%
우편/상시 5
 
0.1%
Distinct23
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
수의(총액)소액-견적입찰(2인 이상 견적 제출)
988 
제한(총액)협상에의한계약
824 
제한경쟁
484 
제한(총액)
379 
일반경쟁
234 
Other values (18)
567 

Length

Max length26
Median length14
Mean length13.418297
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
수의(총액)소액-견적입찰(2인 이상 견적 제출) 988
28.4%
제한(총액)협상에의한계약 824
23.7%
제한경쟁 484
13.9%
제한(총액) 379
 
10.9%
일반경쟁 234
 
6.7%
수의(총액)소액수의 188
 
5.4%
일반(총액)협상에의한계약 101
 
2.9%
일반(총액) 99
 
2.8%
수의(총액) 44
 
1.3%
지명경쟁 29
 
0.8%
Other values (13) 106
 
3.0%

Length

2024-04-29T22:25:44.762764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이상 1002
15.5%
견적 1002
15.5%
제출 1002
15.5%
수의(총액)소액-견적입찰(2인 988
15.2%
제한(총액)협상에의한계약 824
12.7%
제한경쟁 484
7.5%
제한(총액 379
 
5.8%
일반경쟁 234
 
3.6%
수의(총액)소액수의 188
 
2.9%
일반(총액)협상에의한계약 101
 
1.6%
Other values (16) 278
 
4.3%
Distinct191
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
2024-04-29T22:25:45.040818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.301496
Min length3

Characters and Unicode

Total characters11476
Distinct characters136
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

Unique35 ?
Unique (%)1.0%

Sample

1st row양학동
2nd row정재은
3rd row양학동
4th row오현정
5th row오현정
ValueCountFrequency (%)
김진경 322
 
9.3%
전경민팀장 224
 
6.4%
서봉석팀장 182
 
5.2%
이현한 179
 
5.1%
구일회 140
 
4.0%
황선애 138
 
4.0%
최재수 131
 
3.8%
김효진 124
 
3.6%
이성열 109
 
3.1%
황민지 100
 
2.9%
Other values (181) 1827
52.6%
2024-04-29T22:25:45.460221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
855
 
7.5%
774
 
6.7%
592
 
5.2%
586
 
5.1%
501
 
4.4%
492
 
4.3%
479
 
4.2%
455
 
4.0%
304
 
2.6%
274
 
2.4%
Other values (126) 6164
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11476
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
855
 
7.5%
774
 
6.7%
592
 
5.2%
586
 
5.1%
501
 
4.4%
492
 
4.3%
479
 
4.2%
455
 
4.0%
304
 
2.6%
274
 
2.4%
Other values (126) 6164
53.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11476
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
855
 
7.5%
774
 
6.7%
592
 
5.2%
586
 
5.1%
501
 
4.4%
492
 
4.3%
479
 
4.2%
455
 
4.0%
304
 
2.6%
274
 
2.4%
Other values (126) 6164
53.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11476
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
855
 
7.5%
774
 
6.7%
592
 
5.2%
586
 
5.1%
501
 
4.4%
492
 
4.3%
479
 
4.2%
455
 
4.0%
304
 
2.6%
274
 
2.4%
Other values (126) 6164
53.7%
Distinct848
Distinct (%)25.2%
Missing114
Missing (%)3.3%
Memory size27.3 KiB
Minimum2019-01-07 18:00:00
Maximum2121-04-01 18:00:00
2024-04-29T22:25:45.593539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:25:45.722529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
공고서참조
2455 
전자문서
927 
수기
 
94

Length

Max length5
Median length5
Mean length4.6521864
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공고서참조 2455
70.6%
전자문서 927
 
26.7%
수기 94
 
2.7%

Length

2024-04-29T22:25:45.852350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:25:45.949527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공고서참조 2455
70.6%
전자문서 927
 
26.7%
수기 94
 
2.7%
Distinct550
Distinct (%)53.9%
Missing2456
Missing (%)70.7%
Memory size27.3 KiB
Minimum2019-01-09 18:00:00
Maximum2024-05-26 18:00:00
2024-04-29T22:25:46.048673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:25:46.183275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3354 
True
 
122
ValueCountFrequency (%)
False 3354
96.5%
True 122
 
3.5%
2024-04-29T22:25:46.289441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

입찰개시일시
Date

MISSING 

Distinct1324
Distinct (%)39.4%
Missing114
Missing (%)3.3%
Memory size27.3 KiB
Minimum2019-01-03 10:00:00
Maximum2024-04-25 10:00:00
2024-04-29T22:25:46.401631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:25:46.530411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

입찰마감일시
Date

MISSING 

Distinct1524
Distinct (%)45.3%
Missing114
Missing (%)3.3%
Memory size27.3 KiB
Minimum2019-01-08 14:00:00
Maximum2121-04-02 12:00:00
2024-04-29T22:25:46.663532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:25:46.793840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1581
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
Minimum2019-01-08 15:00:00
Maximum2121-04-02 13:00:00
2024-04-29T22:25:46.926228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:25:47.050863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공고규격서URL1
Text

MISSING 

Distinct3155
Distinct (%)99.9%
Missing318
Missing (%)9.1%
Memory size27.3 KiB
2024-04-29T22:25:47.332152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.39772
Min length93

Characters and Unicode

Total characters294950
Distinct characters44
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

Unique3152 ?
Unique (%)99.8%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438950::00::1::1
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240439847::00::1::1
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438602::00::1::1
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431580::00::1::1
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431098::00::1::1
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201101221::00::1::1 2
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201033509::00::1::1 2
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201101780::00::1::1 2
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190101886::00::1::1 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200237687::00::1::1 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200225873::00::1::1 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200226337::00::1::1 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200231048::00::1::1 1
 
< 0.1%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20240438950::00::1::1 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200230641::00::1::1 1
 
< 0.1%
Other values (3145) 3145
99.6%
2024-04-29T22:25:47.708402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 25264
 
8.6%
0 18302
 
6.2%
/ 15790
 
5.4%
o 15790
 
5.4%
e 15790
 
5.4%
1 14133
 
4.8%
w 12632
 
4.3%
. 12632
 
4.3%
l 12632
 
4.3%
2 11266
 
3.8%
Other values (34) 140719
47.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 137050
46.5%
Decimal Number 63158
21.4%
Other Punctuation 60002
20.3%
Uppercase Letter 28424
 
9.6%
Math Symbol 6316
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 15790
11.5%
e 15790
11.5%
w 12632
 
9.2%
l 12632
 
9.2%
i 9474
 
6.9%
f 9474
 
6.9%
d 6316
 
4.6%
k 6316
 
4.6%
a 6316
 
4.6%
g 6316
 
4.6%
Other values (9) 35994
26.3%
Decimal Number
ValueCountFrequency (%)
0 18302
29.0%
1 14133
22.4%
2 11266
17.8%
8 7705
12.2%
3 2790
 
4.4%
9 2294
 
3.6%
4 2013
 
3.2%
5 1652
 
2.6%
7 1507
 
2.4%
6 1496
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
T 6316
22.2%
F 3158
11.1%
Y 3158
11.1%
O 3158
11.1%
S 3158
11.1%
I 3158
11.1%
N 3158
11.1%
D 3158
11.1%
C 2
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 25264
42.1%
/ 15790
26.3%
. 12632
21.1%
& 3158
 
5.3%
? 3158
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 6316
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 165474
56.1%
Common 129476
43.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 15790
 
9.5%
e 15790
 
9.5%
w 12632
 
7.6%
l 12632
 
7.6%
i 9474
 
5.7%
f 9474
 
5.7%
T 6316
 
3.8%
d 6316
 
3.8%
k 6316
 
3.8%
a 6316
 
3.8%
Other values (18) 64418
38.9%
Common
ValueCountFrequency (%)
: 25264
19.5%
0 18302
14.1%
/ 15790
12.2%
1 14133
10.9%
. 12632
9.8%
2 11266
8.7%
8 7705
 
6.0%
= 6316
 
4.9%
& 3158
 
2.4%
? 3158
 
2.4%
Other values (6) 11752
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 294950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 25264
 
8.6%
0 18302
 
6.2%
/ 15790
 
5.4%
o 15790
 
5.4%
e 15790
 
5.4%
1 14133
 
4.8%
w 12632
 
4.3%
. 12632
 
4.3%
l 12632
 
4.3%
2 11266
 
3.8%
Other values (34) 140719
47.7%

공고규격서URL2
Text

MISSING 

Distinct2907
Distinct (%)99.9%
Missing566
Missing (%)16.3%
Memory size27.3 KiB
2024-04-29T22:25:47.996619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.414433
Min length93

Characters and Unicode

Total characters271836
Distinct characters44
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

Unique2904 ?
Unique (%)99.8%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438950::00::2::2
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240439847::00::1::3
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438602::00::2::2
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431580::00::2::2
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431087::00::2::2
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201101221::00::2::2 2
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201033509::00::2::2 2
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201101780::00::2::3 2
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190100475::00::2::2 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200240999::00::2::2 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200233973::00::2::2 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200241579::00::2::2 1
 
< 0.1%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20240438950::00::2::2 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200248156::00::2::3 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200245785::00::1::2 1
 
< 0.1%
Other values (2897) 2897
99.6%
2024-04-29T22:25:48.414459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 23280
 
8.6%
0 16856
 
6.2%
2 15531
 
5.7%
/ 14550
 
5.4%
o 14550
 
5.4%
e 14550
 
5.4%
w 11640
 
4.3%
. 11640
 
4.3%
l 11640
 
4.3%
i 8730
 
3.2%
Other values (34) 128869
47.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 126336
46.5%
Decimal Number 58036
21.3%
Other Punctuation 55290
20.3%
Uppercase Letter 26354
 
9.7%
Math Symbol 5820
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 14550
11.5%
e 14550
11.5%
w 11640
 
9.2%
l 11640
 
9.2%
i 8730
 
6.9%
f 8730
 
6.9%
d 5820
 
4.6%
k 5820
 
4.6%
a 5820
 
4.6%
g 5820
 
4.6%
Other values (9) 33216
26.3%
Decimal Number
ValueCountFrequency (%)
0 16856
29.0%
2 15531
26.8%
1 7565
13.0%
8 7096
12.2%
3 2792
 
4.8%
9 2078
 
3.6%
4 1834
 
3.2%
5 1502
 
2.6%
6 1397
 
2.4%
7 1385
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
T 5820
22.1%
F 2910
11.0%
Y 2910
11.0%
O 2910
11.0%
S 2910
11.0%
I 2910
11.0%
N 2910
11.0%
D 2910
11.0%
C 164
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 23280
42.1%
/ 14550
26.3%
. 11640
21.1%
& 2910
 
5.3%
? 2910
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 5820
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 152690
56.2%
Common 119146
43.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 14550
 
9.5%
e 14550
 
9.5%
w 11640
 
7.6%
l 11640
 
7.6%
i 8730
 
5.7%
f 8730
 
5.7%
T 5820
 
3.8%
d 5820
 
3.8%
k 5820
 
3.8%
a 5820
 
3.8%
Other values (18) 59570
39.0%
Common
ValueCountFrequency (%)
: 23280
19.5%
0 16856
14.1%
2 15531
13.0%
/ 14550
12.2%
. 11640
9.8%
1 7565
 
6.3%
8 7096
 
6.0%
= 5820
 
4.9%
& 2910
 
2.4%
? 2910
 
2.4%
Other values (6) 10988
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 271836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 23280
 
8.6%
0 16856
 
6.2%
2 15531
 
5.7%
/ 14550
 
5.4%
o 14550
 
5.4%
e 14550
 
5.4%
w 11640
 
4.3%
. 11640
 
4.3%
l 11640
 
4.3%
i 8730
 
3.2%
Other values (34) 128869
47.4%

공고규격서URL3
Text

MISSING 

Distinct1736
Distinct (%)99.9%
Missing1738
Missing (%)50.0%
Memory size27.3 KiB
2024-04-29T22:25:48.685716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.428078
Min length93

Characters and Unicode

Total characters162378
Distinct characters44
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

Unique1734 ?
Unique (%)99.8%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438950::00::8::3
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240439847::00::2::2
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438602::00::2::3
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431580::00::C::3
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431087::00::2::3
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201101221::00::c::3 2
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20201101780::00::c::2 2
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200344180::00::1::3 1
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200249411::00::c::3 1
 
0.1%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20240438950::00::8::3 1
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200309700::00::2::4 1
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200300431::00::2::3 1
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200300679::00::2::3 1
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200301312::00::c::3 1
 
0.1%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200301603::00::c::2 1
 
0.1%
Other values (1726) 1726
99.3%
2024-04-29T22:25:49.050947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 13904
 
8.6%
0 10089
 
6.2%
e 8690
 
5.4%
/ 8690
 
5.4%
o 8690
 
5.4%
2 7086
 
4.4%
w 6952
 
4.3%
. 6952
 
4.3%
l 6952
 
4.3%
i 5214
 
3.2%
Other values (34) 79159
48.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 75478
46.5%
Decimal Number 33878
20.9%
Other Punctuation 33022
20.3%
Uppercase Letter 16524
 
10.2%
Math Symbol 3476
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8690
11.5%
o 8690
11.5%
w 6952
 
9.2%
l 6952
 
9.2%
i 5214
 
6.9%
f 5214
 
6.9%
t 3476
 
4.6%
d 3476
 
4.6%
k 3476
 
4.6%
g 3476
 
4.6%
Other values (9) 19862
26.3%
Decimal Number
ValueCountFrequency (%)
0 10089
29.8%
2 7086
20.9%
1 4446
13.1%
8 4359
12.9%
3 2931
 
8.7%
9 1230
 
3.6%
4 1180
 
3.5%
5 912
 
2.7%
6 826
 
2.4%
7 819
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
T 3476
21.0%
Y 1738
10.5%
S 1738
10.5%
I 1738
10.5%
F 1738
10.5%
O 1738
10.5%
N 1738
10.5%
D 1738
10.5%
C 882
 
5.3%
Other Punctuation
ValueCountFrequency (%)
: 13904
42.1%
/ 8690
26.3%
. 6952
21.1%
& 1738
 
5.3%
? 1738
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 3476
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 92002
56.7%
Common 70376
43.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8690
 
9.4%
o 8690
 
9.4%
w 6952
 
7.6%
l 6952
 
7.6%
i 5214
 
5.7%
f 5214
 
5.7%
t 3476
 
3.8%
T 3476
 
3.8%
d 3476
 
3.8%
k 3476
 
3.8%
Other values (18) 36386
39.5%
Common
ValueCountFrequency (%)
: 13904
19.8%
0 10089
14.3%
/ 8690
12.3%
2 7086
10.1%
. 6952
9.9%
1 4446
 
6.3%
8 4359
 
6.2%
= 3476
 
4.9%
3 2931
 
4.2%
& 1738
 
2.5%
Other values (6) 6705
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 162378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 13904
 
8.6%
0 10089
 
6.2%
e 8690
 
5.4%
/ 8690
 
5.4%
o 8690
 
5.4%
2 7086
 
4.4%
w 6952
 
4.3%
. 6952
 
4.3%
l 6952
 
4.3%
i 5214
 
3.2%
Other values (34) 79159
48.7%

공고규격서URL4
Text

MISSING 

Distinct404
Distinct (%)100.0%
Missing3072
Missing (%)88.4%
Memory size27.3 KiB
2024-04-29T22:25:49.347552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.492574
Min length93

Characters and Unicode

Total characters37771
Distinct characters44
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

Unique404 ?
Unique (%)100.0%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438950::00::C::4
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438602::00::8::4
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240334029::00::2::4
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240334016::00::2::4
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240333990::00::2::5
ValueCountFrequency (%)
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20240320006::00::2::4 1
 
0.2%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200602779::00::c::4 1
 
0.2%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200349758::00::c::5 1
 
0.2%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200355141::00::c::3 1
 
0.2%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200403235::00::c::4 1
 
0.2%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200403426::00::2::5 1
 
0.2%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200408651::00::c::3 1
 
0.2%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200412146::00::c::4 1
 
0.2%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200417259::00::c::4 1
 
0.2%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200417259::01::c::4 1
 
0.2%
Other values (394) 394
97.5%
2024-04-29T22:25:49.731407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 3232
 
8.6%
0 2346
 
6.2%
/ 2020
 
5.3%
e 2020
 
5.3%
o 2020
 
5.3%
2 1639
 
4.3%
w 1616
 
4.3%
. 1616
 
4.3%
l 1616
 
4.3%
i 1212
 
3.2%
Other values (34) 18434
48.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17571
46.5%
Decimal Number 7852
20.8%
Other Punctuation 7676
20.3%
Uppercase Letter 3864
 
10.2%
Math Symbol 808
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2020
11.5%
o 2020
11.5%
w 1616
 
9.2%
l 1616
 
9.2%
i 1212
 
6.9%
f 1212
 
6.9%
a 808
 
4.6%
t 808
 
4.6%
d 808
 
4.6%
k 808
 
4.6%
Other values (9) 4643
26.4%
Decimal Number
ValueCountFrequency (%)
0 2346
29.9%
2 1639
20.9%
8 1025
13.1%
1 1005
12.8%
4 518
 
6.6%
3 418
 
5.3%
9 292
 
3.7%
5 240
 
3.1%
7 185
 
2.4%
6 184
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
T 808
20.9%
Y 404
10.5%
S 404
10.5%
I 404
10.5%
F 404
10.5%
D 404
10.5%
O 404
10.5%
N 404
10.5%
C 228
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 3232
42.1%
/ 2020
26.3%
. 1616
21.1%
& 404
 
5.3%
? 404
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 808
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21435
56.7%
Common 16336
43.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2020
 
9.4%
o 2020
 
9.4%
w 1616
 
7.5%
l 1616
 
7.5%
i 1212
 
5.7%
f 1212
 
5.7%
T 808
 
3.8%
a 808
 
3.8%
t 808
 
3.8%
d 808
 
3.8%
Other values (18) 8507
39.7%
Common
ValueCountFrequency (%)
: 3232
19.8%
0 2346
14.4%
/ 2020
12.4%
2 1639
10.0%
. 1616
9.9%
8 1025
 
6.3%
1 1005
 
6.2%
= 808
 
4.9%
4 518
 
3.2%
3 418
 
2.6%
Other values (6) 1709
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 3232
 
8.6%
0 2346
 
6.2%
/ 2020
 
5.3%
e 2020
 
5.3%
o 2020
 
5.3%
2 1639
 
4.3%
w 1616
 
4.3%
. 1616
 
4.3%
l 1616
 
4.3%
i 1212
 
3.2%
Other values (34) 18434
48.8%

공고규격서URL5
Text

MISSING 

Distinct119
Distinct (%)100.0%
Missing3357
Missing (%)96.6%
Memory size27.3 KiB
2024-04-29T22:25:50.011486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length94
Mean length93.537815
Min length93

Characters and Unicode

Total characters11131
Distinct characters44
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

Unique119 ?
Unique (%)100.0%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240333990::00::8::2
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240333971::00::8::2
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240333950::00::8::2
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240113803::00::C::3
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20231125932::00::1::5
ValueCountFrequency (%)
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20240333990::00::8::2 1
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200403426::00::2::6 1
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200412146::00::c::5 1
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200417259::00::c::5 1
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200417259::01::c::5 1
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200526888::00::c::5 1
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200526309::00::2::6 1
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200526978::00::c::3 1
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200530426::00::c::5 1
 
0.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200530620::00::8::2 1
 
0.8%
Other values (109) 109
91.6%
2024-04-29T22:25:50.450461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 952
 
8.6%
0 699
 
6.3%
/ 595
 
5.3%
e 595
 
5.3%
o 595
 
5.3%
w 476
 
4.3%
. 476
 
4.3%
l 476
 
4.3%
2 454
 
4.1%
i 357
 
3.2%
Other values (34) 5456
49.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5181
46.5%
Decimal Number 2310
20.8%
Other Punctuation 2261
20.3%
Uppercase Letter 1141
 
10.3%
Math Symbol 238
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 595
11.5%
o 595
11.5%
w 476
 
9.2%
l 476
 
9.2%
i 357
 
6.9%
f 357
 
6.9%
a 238
 
4.6%
t 238
 
4.6%
d 238
 
4.6%
k 238
 
4.6%
Other values (9) 1373
26.5%
Decimal Number
ValueCountFrequency (%)
0 699
30.3%
2 454
19.7%
8 322
13.9%
1 291
12.6%
5 142
 
6.1%
3 123
 
5.3%
4 88
 
3.8%
9 81
 
3.5%
6 59
 
2.6%
7 51
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
T 238
20.9%
Y 119
10.4%
S 119
10.4%
I 119
10.4%
F 119
10.4%
D 119
10.4%
O 119
10.4%
N 119
10.4%
C 70
 
6.1%
Other Punctuation
ValueCountFrequency (%)
: 952
42.1%
/ 595
26.3%
. 476
21.1%
& 119
 
5.3%
? 119
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6322
56.8%
Common 4809
43.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 595
 
9.4%
o 595
 
9.4%
w 476
 
7.5%
l 476
 
7.5%
i 357
 
5.6%
f 357
 
5.6%
T 238
 
3.8%
a 238
 
3.8%
t 238
 
3.8%
d 238
 
3.8%
Other values (18) 2514
39.8%
Common
ValueCountFrequency (%)
: 952
19.8%
0 699
14.5%
/ 595
12.4%
. 476
9.9%
2 454
9.4%
8 322
 
6.7%
1 291
 
6.1%
= 238
 
4.9%
5 142
 
3.0%
3 123
 
2.6%
Other values (6) 517
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 952
 
8.6%
0 699
 
6.3%
/ 595
 
5.3%
e 595
 
5.3%
o 595
 
5.3%
w 476
 
4.3%
. 476
 
4.3%
l 476
 
4.3%
2 454
 
4.1%
i 357
 
3.2%
Other values (34) 5456
49.0%

공고규격서URL6
Text

MISSING 

Distinct26
Distinct (%)100.0%
Missing3450
Missing (%)99.3%
Memory size27.3 KiB
2024-04-29T22:25:50.742394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length93
Mean length93.423077
Min length93

Characters and Unicode

Total characters2429
Distinct characters44
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

Unique26 ?
Unique (%)100.0%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20230523757::00::C::6
2nd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20230523848::00::C::2
3rd rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20230516630::00::C::6
4th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20230431526::00::C::5
5th rowhttps://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20230431423::00::C::4
ValueCountFrequency (%)
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20230523757::00::c::6 1
 
3.8%
https://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20230523848::00::c::2 1
 
3.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20190221353::00::c::6 1
 
3.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20191100882::01::c::4 1
 
3.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200309238::00::c::5 1
 
3.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200309700::00::8::3 1
 
3.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200318843::00::c::6 1
 
3.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200340000::00::c::6 1
 
3.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200340000::02::c::5 1
 
3.8%
http://www.g2b.go.kr:8081/ep/co/filedownload.do?filetask=notify&fileseq=20200344828::00::8::6 1
 
3.8%
Other values (16) 16
61.5%
2024-04-29T22:25:51.387172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
: 208
 
8.6%
0 162
 
6.7%
/ 130
 
5.4%
o 130
 
5.4%
e 130
 
5.4%
l 104
 
4.3%
w 104
 
4.3%
. 104
 
4.3%
2 97
 
4.0%
i 78
 
3.2%
Other values (34) 1182
48.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1129
46.5%
Decimal Number 500
20.6%
Other Punctuation 494
20.3%
Uppercase Letter 254
 
10.5%
Math Symbol 52
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 130
11.5%
e 130
11.5%
l 104
 
9.2%
w 104
 
9.2%
i 78
 
6.9%
f 78
 
6.9%
t 52
 
4.6%
k 52
 
4.6%
a 52
 
4.6%
g 52
 
4.6%
Other values (9) 297
26.3%
Decimal Number
ValueCountFrequency (%)
0 162
32.4%
2 97
19.4%
8 71
14.2%
1 56
 
11.2%
3 30
 
6.0%
5 22
 
4.4%
6 21
 
4.2%
9 16
 
3.2%
4 15
 
3.0%
7 10
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
T 52
20.5%
Y 26
10.2%
S 26
10.2%
I 26
10.2%
F 26
10.2%
D 26
10.2%
O 26
10.2%
N 26
10.2%
C 20
 
7.9%
Other Punctuation
ValueCountFrequency (%)
: 208
42.1%
/ 130
26.3%
. 104
21.1%
& 26
 
5.3%
? 26
 
5.3%
Math Symbol
ValueCountFrequency (%)
= 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1383
56.9%
Common 1046
43.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 130
 
9.4%
e 130
 
9.4%
l 104
 
7.5%
w 104
 
7.5%
i 78
 
5.6%
f 78
 
5.6%
T 52
 
3.8%
t 52
 
3.8%
k 52
 
3.8%
a 52
 
3.8%
Other values (18) 551
39.8%
Common
ValueCountFrequency (%)
: 208
19.9%
0 162
15.5%
/ 130
12.4%
. 104
9.9%
2 97
9.3%
8 71
 
6.8%
1 56
 
5.4%
= 52
 
5.0%
3 30
 
2.9%
& 26
 
2.5%
Other values (6) 110
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2429
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
: 208
 
8.6%
0 162
 
6.7%
/ 130
 
5.4%
o 130
 
5.4%
e 130
 
5.4%
l 104
 
4.3%
w 104
 
4.3%
. 104
 
4.3%
2 97
 
4.0%
i 78
 
3.2%
Other values (34) 1182
48.7%
Distinct3155
Distinct (%)99.9%
Missing318
Missing (%)9.1%
Memory size27.3 KiB
2024-04-29T22:25:51.696666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length83
Mean length57.618429
Min length36

Characters and Unicode

Total characters181959
Distinct characters533
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3152 ?
Unique (%)99.8%

Sample

1st row20240438950-00_1713933001590_입찰공고문(하송우~마산 도로확포장공사 건설폐기물처리용역).hwpx
2nd row20240439847-00_1713945354861_공고문_냉온수기 세관.hwpx
3rd row20240438602-00_1713923036671_입찰공고문(새로운공고).hwpx
4th row20240431580-00_1713441053470_공고문[2024년 남양주 지방도 소규모 포장보수공사(단가계약)2차 폐기물처리용역].hwpx
5th row20240431098-00_1713427739232_가격입찰 공고문(완장천 등 16개 하천기본계획 전략환경영향평가용역).hwpx
ValueCountFrequency (%)
344
 
2.8%
용역.hwp 253
 
2.1%
용역).hwp 227
 
1.9%
200
 
1.6%
경기도 145
 
1.2%
지방도 104
 
0.9%
보수공사 103
 
0.8%
포장보수공사 71
 
0.6%
공고문.hwp 69
 
0.6%
폐기물처리용역].hwp 66
 
0.5%
Other values (5591) 10621
87.0%
2024-04-29T22:25:52.184921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20086
 
11.0%
2 13697
 
7.5%
1 12824
 
7.0%
9046
 
5.0%
_ 7029
 
3.9%
5 6803
 
3.7%
3 6549
 
3.6%
6 6519
 
3.6%
9 5960
 
3.3%
4 5503
 
3.0%
Other values (523) 87943
48.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88392
48.6%
Other Letter 55113
30.3%
Lowercase Letter 9730
 
5.3%
Space Separator 9046
 
5.0%
Connector Punctuation 7029
 
3.9%
Dash Punctuation 3654
 
2.0%
Other Punctuation 3607
 
2.0%
Close Punctuation 2409
 
1.3%
Open Punctuation 2407
 
1.3%
Uppercase Letter 437
 
0.2%
Other values (3) 135
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4185
 
7.6%
3386
 
6.1%
2800
 
5.1%
1822
 
3.3%
1800
 
3.3%
1788
 
3.2%
1694
 
3.1%
1457
 
2.6%
1243
 
2.3%
1179
 
2.1%
Other values (459) 33759
61.3%
Uppercase Letter
ValueCountFrequency (%)
S 106
24.3%
W 73
16.7%
P 47
10.8%
Q 43
9.8%
E 22
 
5.0%
I 21
 
4.8%
C 14
 
3.2%
B 13
 
3.0%
D 11
 
2.5%
A 10
 
2.3%
Other values (13) 77
17.6%
Lowercase Letter
ValueCountFrequency (%)
p 3165
32.5%
w 3140
32.3%
h 3138
32.3%
x 219
 
2.3%
d 22
 
0.2%
f 22
 
0.2%
v 7
 
0.1%
o 6
 
0.1%
e 4
 
< 0.1%
s 3
 
< 0.1%
Other values (4) 4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 20086
22.7%
2 13697
15.5%
1 12824
14.5%
5 6803
 
7.7%
3 6549
 
7.4%
6 6519
 
7.4%
9 5960
 
6.7%
4 5503
 
6.2%
7 5359
 
6.1%
8 5092
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 3336
92.5%
, 252
 
7.0%
· 19
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 2066
85.8%
] 335
 
13.9%
8
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 2065
85.8%
[ 334
 
13.9%
8
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 105
84.7%
+ 17
 
13.7%
2
 
1.6%
Space Separator
ValueCountFrequency (%)
9046
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7029
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3654
100.0%
Other Symbol
ValueCountFrequency (%)
7
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116679
64.1%
Hangul 55108
30.3%
Latin 10167
 
5.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4185
 
7.6%
3386
 
6.1%
2800
 
5.1%
1822
 
3.3%
1800
 
3.3%
1788
 
3.2%
1694
 
3.1%
1457
 
2.6%
1243
 
2.3%
1179
 
2.1%
Other values (456) 33754
61.3%
Latin
ValueCountFrequency (%)
p 3165
31.1%
w 3140
30.9%
h 3138
30.9%
x 219
 
2.2%
S 106
 
1.0%
W 73
 
0.7%
P 47
 
0.5%
Q 43
 
0.4%
d 22
 
0.2%
f 22
 
0.2%
Other values (27) 192
 
1.9%
Common
ValueCountFrequency (%)
0 20086
17.2%
2 13697
11.7%
1 12824
11.0%
9046
 
7.8%
_ 7029
 
6.0%
5 6803
 
5.8%
3 6549
 
5.6%
6 6519
 
5.6%
9 5960
 
5.1%
4 5503
 
4.7%
Other values (17) 22663
19.4%
Han
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126798
69.7%
Hangul 55108
30.3%
None 35
 
< 0.1%
Misc Symbols 7
 
< 0.1%
CJK 5
 
< 0.1%
Punctuation 4
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20086
15.8%
2 13697
10.8%
1 12824
 
10.1%
9046
 
7.1%
_ 7029
 
5.5%
5 6803
 
5.4%
3 6549
 
5.2%
6 6519
 
5.1%
9 5960
 
4.7%
4 5503
 
4.3%
Other values (48) 32782
25.9%
Hangul
ValueCountFrequency (%)
4185
 
7.6%
3386
 
6.1%
2800
 
5.1%
1822
 
3.3%
1800
 
3.3%
1788
 
3.2%
1694
 
3.1%
1457
 
2.6%
1243
 
2.3%
1179
 
2.1%
Other values (456) 33754
61.3%
None
ValueCountFrequency (%)
· 19
54.3%
8
22.9%
8
22.9%
Misc Symbols
ValueCountFrequency (%)
7
100.0%
Punctuation
ValueCountFrequency (%)
4
100.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Distinct2907
Distinct (%)99.9%
Missing566
Missing (%)16.3%
Memory size27.3 KiB
2024-04-29T22:25:52.458515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length84
Mean length56.434708
Min length36

Characters and Unicode

Total characters164225
Distinct characters537
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2904 ?
Unique (%)99.8%

Sample

1st row20240438950-00_1713933001593_1~3.설계서및과업내용서(하송우~마산_건설폐기물처리용역)수정_법적 현황화.hwpx
2nd row20240439847-00_1713945354897_상생결제 안내자료.pdf
3rd row20240438602-00_1713923036675_과업이행요청서(새로운공고).hwpx
4th row20240431580-00_1713441053477_설계서_2024년 남양주 지방도 소규모 포장보수공사(단가계약)2차 폐기물처리용역.hwpx
5th row20240431087-00_1713427573565_과업지시서.hwpx
ValueCountFrequency (%)
375
 
3.4%
과업지시서.hwp 243
 
2.2%
227
 
2.0%
용역).hwp 179
 
1.6%
용역.hwp 166
 
1.5%
경기도 142
 
1.3%
지방도 113
 
1.0%
정밀안전점검 78
 
0.7%
포장보수공사 74
 
0.7%
내진성능평가 61
 
0.5%
Other values (5368) 9499
85.1%
2024-04-29T22:25:52.874979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18557
 
11.3%
2 12761
 
7.8%
1 11790
 
7.2%
8251
 
5.0%
_ 6337
 
3.9%
3 6204
 
3.8%
5 6181
 
3.8%
6 6066
 
3.7%
9 5458
 
3.3%
4 5033
 
3.1%
Other values (527) 77587
47.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 81623
49.7%
Other Letter 47670
29.0%
Lowercase Letter 9410
 
5.7%
Space Separator 8251
 
5.0%
Connector Punctuation 6337
 
3.9%
Other Punctuation 3369
 
2.1%
Dash Punctuation 3319
 
2.0%
Open Punctuation 1899
 
1.2%
Close Punctuation 1893
 
1.2%
Uppercase Letter 326
 
0.2%
Other values (2) 128
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3083
 
6.5%
2324
 
4.9%
2205
 
4.6%
2201
 
4.6%
2087
 
4.4%
1729
 
3.6%
1406
 
2.9%
1102
 
2.3%
1023
 
2.1%
983
 
2.1%
Other values (447) 29527
61.9%
Lowercase Letter
ValueCountFrequency (%)
p 2813
29.9%
h 2722
28.9%
w 2719
28.9%
x 389
 
4.1%
s 126
 
1.3%
l 123
 
1.3%
f 68
 
0.7%
d 63
 
0.7%
i 57
 
0.6%
e 46
 
0.5%
Other values (15) 284
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
S 55
16.9%
C 25
 
7.7%
T 21
 
6.4%
I 21
 
6.4%
A 21
 
6.4%
N 20
 
6.1%
E 20
 
6.1%
P 18
 
5.5%
M 18
 
5.5%
D 13
 
4.0%
Other values (15) 94
28.8%
Decimal Number
ValueCountFrequency (%)
0 18557
22.7%
2 12761
15.6%
1 11790
14.4%
3 6204
 
7.6%
5 6181
 
7.6%
6 6066
 
7.4%
9 5458
 
6.7%
4 5033
 
6.2%
7 4920
 
6.0%
8 4653
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 3230
95.9%
, 120
 
3.6%
· 10
 
0.3%
7
 
0.2%
@ 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1663
87.6%
[ 224
 
11.8%
10
 
0.5%
2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1660
87.7%
] 221
 
11.7%
10
 
0.5%
2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 107
95.5%
+ 3
 
2.7%
2
 
1.8%
Space Separator
ValueCountFrequency (%)
8251
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6337
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3319
100.0%
Other Symbol
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106819
65.0%
Hangul 47665
29.0%
Latin 9736
 
5.9%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3083
 
6.5%
2324
 
4.9%
2205
 
4.6%
2201
 
4.6%
2087
 
4.4%
1729
 
3.6%
1406
 
2.9%
1102
 
2.3%
1023
 
2.1%
983
 
2.1%
Other values (444) 29522
61.9%
Latin
ValueCountFrequency (%)
p 2813
28.9%
h 2722
28.0%
w 2719
27.9%
x 389
 
4.0%
s 126
 
1.3%
l 123
 
1.3%
f 68
 
0.7%
d 63
 
0.6%
i 57
 
0.6%
S 55
 
0.6%
Other values (40) 601
 
6.2%
Common
ValueCountFrequency (%)
0 18557
17.4%
2 12761
11.9%
1 11790
11.0%
8251
7.7%
_ 6337
 
5.9%
3 6204
 
5.8%
5 6181
 
5.8%
6 6066
 
5.7%
9 5458
 
5.1%
4 5033
 
4.7%
Other values (20) 20181
18.9%
Han
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116496
70.9%
Hangul 47660
29.0%
None 41
 
< 0.1%
Misc Symbols 16
 
< 0.1%
Compat Jamo 5
 
< 0.1%
CJK 5
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18557
15.9%
2 12761
11.0%
1 11790
 
10.1%
8251
 
7.1%
_ 6337
 
5.4%
3 6204
 
5.3%
5 6181
 
5.3%
6 6066
 
5.2%
9 5458
 
4.7%
4 5033
 
4.3%
Other values (62) 29858
25.6%
Hangul
ValueCountFrequency (%)
3083
 
6.5%
2324
 
4.9%
2205
 
4.6%
2201
 
4.6%
2087
 
4.4%
1729
 
3.6%
1406
 
3.0%
1102
 
2.3%
1023
 
2.1%
983
 
2.1%
Other values (443) 29517
61.9%
Misc Symbols
ValueCountFrequency (%)
16
100.0%
None
ValueCountFrequency (%)
· 10
24.4%
10
24.4%
10
24.4%
7
17.1%
2
 
4.9%
2
 
4.9%
Compat Jamo
ValueCountFrequency (%)
5
100.0%
CJK
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
Distinct1736
Distinct (%)99.9%
Missing1738
Missing (%)50.0%
Memory size27.3 KiB
2024-04-29T22:25:53.110077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length154
Median length90
Mean length56.160529
Min length36

Characters and Unicode

Total characters97607
Distinct characters483
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1734 ?
Unique (%)99.8%

Sample

1st row20240438950-00_1713933001595_SUMMARY NOTICE.hwp
2nd row20240439847-00_1713945354880_과업지시서(흡수식 냉온수기 세관).hwpx
3rd row20240438602-00_1713923036677_제안요청서(새로운공고).hwpx
4th row20240431580-00_1713441447894_공내역서_2024년 남양주 지방도 소규모 포장보수공사(단가계약)2차 폐기물처리용역.xls
5th row20240431087-00_1713427573570_공내역서(2024년 수리산도립공원 탐방로 정비공사 실시설계용역).xls
ValueCountFrequency (%)
178
 
2.8%
98
 
1.6%
경기도 75
 
1.2%
notice.hwp 75
 
1.2%
지방도 56
 
0.9%
보수공사 53
 
0.8%
용역).xlsx 46
 
0.7%
포장보수공사 43
 
0.7%
용역.hwp 42
 
0.7%
34
 
0.5%
Other values (3417) 5591
88.9%
2024-04-29T22:25:53.500750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10974
 
11.2%
2 7505
 
7.7%
1 6888
 
7.1%
4557
 
4.7%
_ 3849
 
3.9%
3 3684
 
3.8%
5 3663
 
3.8%
6 3616
 
3.7%
9 3223
 
3.3%
4 3016
 
3.1%
Other values (473) 46632
47.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48297
49.5%
Other Letter 25752
26.4%
Lowercase Letter 7488
 
7.7%
Space Separator 4557
 
4.7%
Connector Punctuation 3849
 
3.9%
Other Punctuation 1993
 
2.0%
Dash Punctuation 1936
 
2.0%
Uppercase Letter 1276
 
1.3%
Open Punctuation 1198
 
1.2%
Close Punctuation 1194
 
1.2%
Other values (2) 67
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1459
 
5.7%
1457
 
5.7%
907
 
3.5%
881
 
3.4%
852
 
3.3%
690
 
2.7%
652
 
2.5%
581
 
2.3%
580
 
2.3%
579
 
2.2%
Other values (394) 17114
66.5%
Lowercase Letter
ValueCountFrequency (%)
x 1375
18.4%
p 961
12.8%
h 900
12.0%
w 884
11.8%
s 864
11.5%
l 841
11.2%
e 208
 
2.8%
o 188
 
2.5%
i 160
 
2.1%
r 127
 
1.7%
Other values (16) 980
13.1%
Uppercase Letter
ValueCountFrequency (%)
M 134
10.5%
N 132
10.3%
S 125
9.8%
C 93
 
7.3%
E 87
 
6.8%
R 84
 
6.6%
O 83
 
6.5%
I 83
 
6.5%
T 82
 
6.4%
A 72
 
5.6%
Other values (15) 301
23.6%
Decimal Number
ValueCountFrequency (%)
0 10974
22.7%
2 7505
15.5%
1 6888
14.3%
3 3684
 
7.6%
5 3663
 
7.6%
6 3616
 
7.5%
9 3223
 
6.7%
4 3016
 
6.2%
7 2978
 
6.2%
8 2750
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 1924
96.5%
, 60
 
3.0%
5
 
0.3%
· 3
 
0.2%
@ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1102
92.0%
[ 88
 
7.3%
7
 
0.6%
{ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1100
92.1%
] 87
 
7.3%
7
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 47
90.4%
+ 5
 
9.6%
Space Separator
ValueCountFrequency (%)
4557
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3849
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1936
100.0%
Other Symbol
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63091
64.6%
Hangul 25748
26.4%
Latin 8764
 
9.0%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1459
 
5.7%
1457
 
5.7%
907
 
3.5%
881
 
3.4%
852
 
3.3%
690
 
2.7%
652
 
2.5%
581
 
2.3%
580
 
2.3%
579
 
2.2%
Other values (392) 17110
66.5%
Latin
ValueCountFrequency (%)
x 1375
15.7%
p 961
11.0%
h 900
10.3%
w 884
 
10.1%
s 864
 
9.9%
l 841
 
9.6%
e 208
 
2.4%
o 188
 
2.1%
i 160
 
1.8%
M 134
 
1.5%
Other values (41) 2249
25.7%
Common
ValueCountFrequency (%)
0 10974
17.4%
2 7505
11.9%
1 6888
10.9%
4557
 
7.2%
_ 3849
 
6.1%
3 3684
 
5.8%
5 3663
 
5.8%
6 3616
 
5.7%
9 3223
 
5.1%
4 3016
 
4.8%
Other values (18) 12116
19.2%
Han
ValueCountFrequency (%)
2
50.0%
2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71818
73.6%
Hangul 25748
 
26.4%
None 22
 
< 0.1%
Misc Symbols 15
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10974
15.3%
2 7505
 
10.5%
1 6888
 
9.6%
4557
 
6.3%
_ 3849
 
5.4%
3 3684
 
5.1%
5 3663
 
5.1%
6 3616
 
5.0%
9 3223
 
4.5%
4 3016
 
4.2%
Other values (64) 20843
29.0%
Hangul
ValueCountFrequency (%)
1459
 
5.7%
1457
 
5.7%
907
 
3.5%
881
 
3.4%
852
 
3.3%
690
 
2.7%
652
 
2.5%
581
 
2.3%
580
 
2.3%
579
 
2.2%
Other values (392) 17110
66.5%
Misc Symbols
ValueCountFrequency (%)
15
100.0%
None
ValueCountFrequency (%)
7
31.8%
7
31.8%
5
22.7%
· 3
13.6%
CJK
ValueCountFrequency (%)
2
50.0%
2
50.0%
Distinct404
Distinct (%)100.0%
Missing3072
Missing (%)88.4%
Memory size27.3 KiB
2024-04-29T22:25:53.721002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length170
Median length82
Mean length57.450495
Min length36

Characters and Unicode

Total characters23210
Distinct characters328
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

Unique404 ?
Unique (%)100.0%

Sample

1st row20240438950-00_1713933001600_(붙임4) (하송우~마산) 건설폐기물 처리용역 설계내역서_end.xls
2nd row20240438602-00_1713923036681_SUMMARY NOTICE.hwp
3rd row20240334029-00_1710918491446_붙임 3. 경기도 하천분야 환경영향평가업자 사업수행능력평가서 작성 안내서.hwpx
4th row20240334016-00_1710918304974_붙임 3. 경기도 하천분야 환경영향평가업자 사업수행능력평가서 작성 안내서.hwpx
5th row20240333990-00_1710918037426_붙임 3. 사업수행능력평가서 작성안내서(하천기본계획(재수립) 용역).hwpx
ValueCountFrequency (%)
87
 
5.7%
평가서 35
 
2.3%
평가기준 35
 
2.3%
사업수행능력 26
 
1.7%
작성안내서.hwp 25
 
1.6%
경기도 23
 
1.5%
notice.hwp 22
 
1.4%
자동차보험 21
 
1.4%
준수 20
 
1.3%
서약서.hwp 20
 
1.3%
Other values (830) 1204
79.3%
2024-04-29T22:25:54.103816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2517
 
10.8%
2 1713
 
7.4%
1 1552
 
6.7%
1114
 
4.8%
_ 899
 
3.9%
6 854
 
3.7%
5 852
 
3.7%
3 824
 
3.6%
7 750
 
3.2%
9 709
 
3.1%
Other values (318) 11426
49.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11147
48.0%
Other Letter 6529
28.1%
Lowercase Letter 1585
 
6.8%
Space Separator 1114
 
4.8%
Connector Punctuation 899
 
3.9%
Other Punctuation 505
 
2.2%
Dash Punctuation 449
 
1.9%
Uppercase Letter 424
 
1.8%
Open Punctuation 270
 
1.2%
Close Punctuation 269
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
366
 
5.6%
251
 
3.8%
239
 
3.7%
214
 
3.3%
208
 
3.2%
207
 
3.2%
206
 
3.2%
190
 
2.9%
182
 
2.8%
178
 
2.7%
Other values (249) 4288
65.7%
Lowercase Letter
ValueCountFrequency (%)
p 277
17.5%
h 258
16.3%
w 257
16.2%
x 228
14.4%
s 144
9.1%
l 130
8.2%
f 28
 
1.8%
o 28
 
1.8%
m 28
 
1.8%
n 23
 
1.5%
Other values (14) 184
11.6%
Uppercase Letter
ValueCountFrequency (%)
M 39
 
9.2%
P 36
 
8.5%
O 34
 
8.0%
N 33
 
7.8%
I 33
 
7.8%
T 31
 
7.3%
E 30
 
7.1%
C 29
 
6.8%
S 28
 
6.6%
Q 27
 
6.4%
Other values (14) 104
24.5%
Decimal Number
ValueCountFrequency (%)
0 2517
22.6%
2 1713
15.4%
1 1552
13.9%
6 854
 
7.7%
5 852
 
7.6%
3 824
 
7.4%
7 750
 
6.7%
9 709
 
6.4%
4 703
 
6.3%
8 673
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 501
99.2%
· 2
 
0.4%
, 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 237
87.8%
[ 33
 
12.2%
Close Punctuation
ValueCountFrequency (%)
) 236
87.7%
] 33
 
12.3%
Space Separator
ValueCountFrequency (%)
1114
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 899
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 449
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14672
63.2%
Hangul 6529
28.1%
Latin 2009
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
366
 
5.6%
251
 
3.8%
239
 
3.7%
214
 
3.3%
208
 
3.2%
207
 
3.2%
206
 
3.2%
190
 
2.9%
182
 
2.8%
178
 
2.7%
Other values (249) 4288
65.7%
Latin
ValueCountFrequency (%)
p 277
13.8%
h 258
12.8%
w 257
12.8%
x 228
 
11.3%
s 144
 
7.2%
l 130
 
6.5%
M 39
 
1.9%
P 36
 
1.8%
O 34
 
1.7%
N 33
 
1.6%
Other values (38) 573
28.5%
Common
ValueCountFrequency (%)
0 2517
17.2%
2 1713
11.7%
1 1552
10.6%
1114
 
7.6%
_ 899
 
6.1%
6 854
 
5.8%
5 852
 
5.8%
3 824
 
5.6%
7 750
 
5.1%
9 709
 
4.8%
Other values (11) 2888
19.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16679
71.9%
Hangul 6529
 
28.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2517
15.1%
2 1713
 
10.3%
1 1552
 
9.3%
1114
 
6.7%
_ 899
 
5.4%
6 854
 
5.1%
5 852
 
5.1%
3 824
 
4.9%
7 750
 
4.5%
9 709
 
4.3%
Other values (58) 4895
29.3%
Hangul
ValueCountFrequency (%)
366
 
5.6%
251
 
3.8%
239
 
3.7%
214
 
3.3%
208
 
3.2%
207
 
3.2%
206
 
3.2%
190
 
2.9%
182
 
2.8%
178
 
2.7%
Other values (249) 4288
65.7%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct119
Distinct (%)100.0%
Missing3357
Missing (%)96.6%
Memory size27.3 KiB
2024-04-29T22:25:54.290352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length83
Mean length59.235294
Min length37

Characters and Unicode

Total characters7049
Distinct characters249
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)100.0%

Sample

1st row20240333990-00_1710918037391_2-2. NOTIFICATION OF CONSULTANCY SERVICE WORK(Tongbok).hwp
2nd row20240333971-00_1710917633852_2-2. NOTIFICATION OF CONSULTANCY SERVICE WORK(Wanjangcheon).hwp
3rd row20240333950-00_1710917370570_1-2. NOTIFICATION OF CONSULTANCY SERVICE WORK(Guanlicheon).hwp
4th row20240113803-00_1705305349428_(공고)(사업비 산출내역서) 2024 도민평생학습 온라인교육 콘텐츠개발(수정).xlsx
5th row20231125932-00_1700209395846_20230834119-00_1693368171571_상생결제_안내자료.pdf
ValueCountFrequency (%)
사업수행능력 19
 
4.6%
notice.hwp 14
 
3.4%
11
 
2.6%
평가서 10
 
2.4%
하천분야 8
 
1.9%
용역업자 5
 
1.2%
정밀안전진단 4
 
1.0%
건설사업관리용역).hwp 4
 
1.0%
service 4
 
1.0%
consultancy 4
 
1.0%
Other values (275) 333
80.0%
2024-04-29T22:25:54.623128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 761
 
10.8%
2 523
 
7.4%
1 459
 
6.5%
299
 
4.2%
3 273
 
3.9%
6 262
 
3.7%
_ 258
 
3.7%
5 246
 
3.5%
9 223
 
3.2%
8 214
 
3.0%
Other values (239) 3531
50.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3341
47.4%
Other Letter 1769
25.1%
Lowercase Letter 545
 
7.7%
Uppercase Letter 371
 
5.3%
Space Separator 299
 
4.2%
Connector Punctuation 258
 
3.7%
Dash Punctuation 146
 
2.1%
Other Punctuation 146
 
2.1%
Open Punctuation 86
 
1.2%
Close Punctuation 85
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
90
 
5.1%
85
 
4.8%
73
 
4.1%
65
 
3.7%
64
 
3.6%
60
 
3.4%
55
 
3.1%
54
 
3.1%
50
 
2.8%
46
 
2.6%
Other values (175) 1127
63.7%
Lowercase Letter
ValueCountFrequency (%)
p 95
17.4%
h 84
15.4%
w 82
15.0%
x 46
8.4%
s 31
 
5.7%
l 28
 
5.1%
e 17
 
3.1%
f 16
 
2.9%
a 16
 
2.9%
m 16
 
2.9%
Other values (14) 114
20.9%
Uppercase Letter
ValueCountFrequency (%)
N 36
9.7%
O 36
9.7%
M 36
9.7%
I 30
 
8.1%
C 30
 
8.1%
S 28
 
7.5%
T 27
 
7.3%
A 23
 
6.2%
E 23
 
6.2%
R 23
 
6.2%
Other values (11) 79
21.3%
Decimal Number
ValueCountFrequency (%)
0 761
22.8%
2 523
15.7%
1 459
13.7%
3 273
 
8.2%
6 262
 
7.8%
5 246
 
7.4%
9 223
 
6.7%
8 214
 
6.4%
7 199
 
6.0%
4 181
 
5.4%
Open Punctuation
ValueCountFrequency (%)
( 77
89.5%
[ 9
 
10.5%
Close Punctuation
ValueCountFrequency (%)
) 76
89.4%
] 9
 
10.6%
Space Separator
ValueCountFrequency (%)
299
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Other Punctuation
ValueCountFrequency (%)
. 146
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4364
61.9%
Hangul 1769
25.1%
Latin 916
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
90
 
5.1%
85
 
4.8%
73
 
4.1%
65
 
3.7%
64
 
3.6%
60
 
3.4%
55
 
3.1%
54
 
3.1%
50
 
2.8%
46
 
2.6%
Other values (175) 1127
63.7%
Latin
ValueCountFrequency (%)
p 95
 
10.4%
h 84
 
9.2%
w 82
 
9.0%
x 46
 
5.0%
N 36
 
3.9%
O 36
 
3.9%
M 36
 
3.9%
s 31
 
3.4%
I 30
 
3.3%
C 30
 
3.3%
Other values (35) 410
44.8%
Common
ValueCountFrequency (%)
0 761
17.4%
2 523
12.0%
1 459
10.5%
299
 
6.9%
3 273
 
6.3%
6 262
 
6.0%
_ 258
 
5.9%
5 246
 
5.6%
9 223
 
5.1%
8 214
 
4.9%
Other values (9) 846
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5280
74.9%
Hangul 1769
 
25.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 761
14.4%
2 523
 
9.9%
1 459
 
8.7%
299
 
5.7%
3 273
 
5.2%
6 262
 
5.0%
_ 258
 
4.9%
5 246
 
4.7%
9 223
 
4.2%
8 214
 
4.1%
Other values (54) 1762
33.4%
Hangul
ValueCountFrequency (%)
90
 
5.1%
85
 
4.8%
73
 
4.1%
65
 
3.7%
64
 
3.6%
60
 
3.4%
55
 
3.1%
54
 
3.1%
50
 
2.8%
46
 
2.6%
Other values (175) 1127
63.7%
Distinct26
Distinct (%)100.0%
Missing3450
Missing (%)99.3%
Memory size27.3 KiB
2024-04-29T22:25:54.822171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length60
Mean length52.269231
Min length37

Characters and Unicode

Total characters1359
Distinct characters155
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

Unique26 ?
Unique (%)100.0%

Sample

1st row20230523757-00_1684227330374_(국토부)공공건축물 그린리모델링사업 설계가이드라인.pdf
2nd row20230523848-00_1684225180438_(동두천)설계 공모지침서_동두천병원 그린리모델링.hwpx
3rd row20230516630-00_1683794523490_HWP파일.zip
4th row20230431526-00_1681885290931_붙임2 사업수행능력평가서 작성안내서.hwpx
5th row20230431423-00_1681883909973_붙임2 사업수행능력평가서 작성안내서.hwpx
ValueCountFrequency (%)
notice.hwp 4
 
6.7%
사업수행능력평가서 2
 
3.3%
작성안내서.hwpx 2
 
3.3%
20230523757-00_1684227330374_(국토부)공공건축물 1
 
1.7%
20200526309-00_1590027419481_summary(2097090-00).hwp 1
 
1.7%
20200403426-00_1585808275428_summary 1
 
1.7%
20200355141-00_1585567813369_설계내역서.xlsx 1
 
1.7%
20200344828-00_1585034933232_summary 1
 
1.7%
20200340000-02_1584703272351_사업수행능력 1
 
1.7%
세부평가기준.hwp 1
 
1.7%
Other values (45) 45
75.0%
2024-04-29T22:25:55.179612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 180
 
13.2%
2 97
 
7.1%
1 85
 
6.3%
3 67
 
4.9%
_ 56
 
4.1%
5 54
 
4.0%
8 53
 
3.9%
7 45
 
3.3%
9 45
 
3.3%
6 43
 
3.2%
Other values (145) 634
46.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 706
51.9%
Other Letter 324
23.8%
Lowercase Letter 133
 
9.8%
Connector Punctuation 56
 
4.1%
Space Separator 34
 
2.5%
Dash Punctuation 30
 
2.2%
Other Punctuation 26
 
1.9%
Uppercase Letter 24
 
1.8%
Open Punctuation 13
 
1.0%
Close Punctuation 13
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
5.6%
17
 
5.2%
15
 
4.6%
11
 
3.4%
10
 
3.1%
10
 
3.1%
10
 
3.1%
9
 
2.8%
9
 
2.8%
8
 
2.5%
Other values (94) 207
63.9%
Lowercase Letter
ValueCountFrequency (%)
p 20
15.0%
h 16
12.0%
w 16
12.0%
x 14
10.5%
m 11
 
8.3%
s 7
 
5.3%
l 6
 
4.5%
a 5
 
3.8%
r 5
 
3.8%
y 5
 
3.8%
Other values (9) 28
21.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
20.8%
N 4
16.7%
M 2
 
8.3%
B 1
 
4.2%
U 1
 
4.2%
A 1
 
4.2%
R 1
 
4.2%
Y 1
 
4.2%
O 1
 
4.2%
T 1
 
4.2%
Other values (6) 6
25.0%
Decimal Number
ValueCountFrequency (%)
0 180
25.5%
2 97
13.7%
1 85
12.0%
3 67
 
9.5%
5 54
 
7.6%
8 53
 
7.5%
7 45
 
6.4%
9 45
 
6.4%
6 43
 
6.1%
4 37
 
5.2%
Connector Punctuation
ValueCountFrequency (%)
_ 56
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Punctuation
ValueCountFrequency (%)
. 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 878
64.6%
Hangul 324
 
23.8%
Latin 157
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
5.6%
17
 
5.2%
15
 
4.6%
11
 
3.4%
10
 
3.1%
10
 
3.1%
10
 
3.1%
9
 
2.8%
9
 
2.8%
8
 
2.5%
Other values (94) 207
63.9%
Latin
ValueCountFrequency (%)
p 20
 
12.7%
h 16
 
10.2%
w 16
 
10.2%
x 14
 
8.9%
m 11
 
7.0%
s 7
 
4.5%
l 6
 
3.8%
a 5
 
3.2%
r 5
 
3.2%
y 5
 
3.2%
Other values (25) 52
33.1%
Common
ValueCountFrequency (%)
0 180
20.5%
2 97
11.0%
1 85
9.7%
3 67
 
7.6%
_ 56
 
6.4%
5 54
 
6.2%
8 53
 
6.0%
7 45
 
5.1%
9 45
 
5.1%
6 43
 
4.9%
Other values (6) 153
17.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1035
76.2%
Hangul 324
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 180
17.4%
2 97
 
9.4%
1 85
 
8.2%
3 67
 
6.5%
_ 56
 
5.4%
5 54
 
5.2%
8 53
 
5.1%
7 45
 
4.3%
9 45
 
4.3%
6 43
 
4.2%
Other values (41) 310
30.0%
Hangul
ValueCountFrequency (%)
18
 
5.6%
17
 
5.2%
15
 
4.6%
11
 
3.4%
10
 
3.1%
10
 
3.1%
10
 
3.1%
9
 
2.8%
9
 
2.8%
8
 
2.5%
Other values (94) 207
63.9%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
True
1850 
False
1626 
ValueCountFrequency (%)
True 1850
53.2%
False 1626
46.8%
2024-04-29T22:25:55.287769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct136
Distinct (%)56.4%
Missing3235
Missing (%)93.1%
Memory size27.3 KiB
Minimum2018-08-14 17:00:00
Maximum2024-04-03 17:00:00
2024-04-29T22:25:55.383630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:25:55.510150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2173 
없음
1301 
수기
 
2

Length

Max length4
Median length4
Mean length3.2502877
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2173
62.5%
없음 1301
37.4%
수기 2
 
0.1%

Length

2024-04-29T22:25:55.656289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:25:55.756787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2173
62.5%
없음 1301
37.4%
수기 2
 
0.1%

내역입찰여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.4%
Missing3447
Missing (%)99.2%
Memory size6.9 KiB
False
 
29
(Missing)
3447 
ValueCountFrequency (%)
False 29
 
0.8%
(Missing) 3447
99.2%
2024-04-29T22:25:55.838845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

입찰참가제한여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing246
Missing (%)7.1%
Memory size6.9 KiB
False
3229 
True
 
1
(Missing)
 
246
ValueCountFrequency (%)
False 3229
92.9%
True 1
 
< 0.1%
(Missing) 246
 
7.1%
2024-04-29T22:25:55.917534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

총예가건수
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
15
2495 
<NA>
930 
1
 
51

Length

Max length4
Median length2
Mean length2.5204258
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15
2nd row15
3rd row15
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
15 2495
71.8%
<NA> 930
 
26.8%
1 51
 
1.5%

Length

2024-04-29T22:25:56.024894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:25:56.121024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 2495
71.8%
na 930
 
26.8%
1 51
 
1.5%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
4
2495 
<NA>
930 
0
 
51

Length

Max length4
Median length1
Mean length1.8026467
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
4 2495
71.8%
<NA> 930
 
26.8%
0 51
 
1.5%

Length

2024-04-29T22:25:56.228371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:25:56.330919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 2495
71.8%
na 930
 
26.8%
0 51
 
1.5%

배정예산금액
Real number (ℝ)

Distinct1984
Distinct (%)57.3%
Missing14
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean2.6377814 × 108
Minimum2
Maximum2.1884497 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:25:56.447746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7678000
Q131790000
median85134500
Q31.9916 × 108
95-th percentile1.1116496 × 109
Maximum2.1884497 × 1010
Range2.1884497 × 1010
Interquartile range (IQR)1.6737 × 108

Descriptive statistics

Standard deviation7.6033202 × 108
Coefficient of variation (CV)2.8824678
Kurtosis231.46187
Mean2.6377814 × 108
Median Absolute Deviation (MAD)61832865
Skewness11.593472
Sum9.1319993 × 1011
Variance5.7810478 × 1017
MonotonicityNot monotonic
2024-04-29T22:25:56.582658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000000 55
 
1.6%
50000000 35
 
1.0%
200000000 33
 
0.9%
150000000 31
 
0.9%
300000000 30
 
0.9%
197335600 24
 
0.7%
70000000 23
 
0.7%
120000000 23
 
0.7%
60000000 23
 
0.7%
40000000 22
 
0.6%
Other values (1974) 3163
91.0%
ValueCountFrequency (%)
2 3
0.1%
10 1
 
< 0.1%
11900 1
 
< 0.1%
22900 2
0.1%
1239300 1
 
< 0.1%
1382000 2
0.1%
1674000 1
 
< 0.1%
1760000 2
0.1%
1953600 1
 
< 0.1%
2024000 1
 
< 0.1%
ValueCountFrequency (%)
21884497380 1
 
< 0.1%
11043900000 1
 
< 0.1%
8634976000 3
0.1%
7880579950 1
 
< 0.1%
7007445010 1
 
< 0.1%
6926755200 1
 
< 0.1%
6878065000 5
0.1%
5370979900 1
 
< 0.1%
5133377900 2
 
0.1%
4883426000 2
 
0.1%

추정가격
Real number (ℝ)

Distinct2008
Distinct (%)58.0%
Missing11
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean2.3993988 × 108
Minimum1
Maximum1.9799127 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:25:56.708285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6887868.8
Q128900000
median78180000
Q31.8167505 × 108
95-th percentile1.0029491 × 109
Maximum1.9799127 × 1010
Range1.9799127 × 1010
Interquartile range (IQR)1.5277505 × 108

Descriptive statistics

Standard deviation6.9013171 × 108
Coefficient of variation (CV)2.8762694
Kurtosis228.87921
Mean2.3993988 × 108
Median Absolute Deviation (MAD)56920000
Skewness11.530551
Sum8.3139167 × 1011
Variance4.7628178 × 1017
MonotonicityNot monotonic
2024-04-29T22:25:56.856225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27272727 55
 
1.6%
136363636 35
 
1.0%
45454545 33
 
0.9%
181818181 24
 
0.7%
179396000 24
 
0.7%
272727272 24
 
0.7%
109090909 24
 
0.7%
36363636 20
 
0.6%
54545454 19
 
0.5%
63636363 19
 
0.5%
Other values (1998) 3188
91.7%
ValueCountFrequency (%)
1 5
0.1%
9 1
 
< 0.1%
10818 1
 
< 0.1%
20818 2
 
0.1%
1126636 1
 
< 0.1%
1246000 2
 
0.1%
1522000 1
 
< 0.1%
1600000 2
 
0.1%
1776000 1
 
< 0.1%
1840000 1
 
< 0.1%
ValueCountFrequency (%)
19799127273 1
 
< 0.1%
10039909090 1
 
< 0.1%
7849978181 3
0.1%
7123441818 1
 
< 0.1%
6333851818 1
 
< 0.1%
6260882727 1
 
< 0.1%
6252786364 2
0.1%
6252786363 3
0.1%
4882709000 1
 
< 0.1%
4639102727 2
0.1%

개찰장소
Text

MISSING 

Distinct69
Distinct (%)2.0%
Missing90
Missing (%)2.6%
Memory size27.3 KiB
2024-04-29T22:25:57.051296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length17
Mean length16.820732
Min length3

Characters and Unicode

Total characters56955
Distinct characters118
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

Unique31 ?
Unique (%)0.9%

Sample

1st row경기도 회계과 입찰집행관pc
2nd row경기도 회계과 입찰집행관 PC
3rd row경기도 회계과 입찰집행관pc
4th row경기도 회계과 입찰집행관 PC
5th row경기도 회계과 입찰집행관 PC
ValueCountFrequency (%)
국가종합전자조달시스템(나라장터 1714
21.1%
pc 1465
18.0%
입찰집행관 1449
17.8%
경기도 1267
15.6%
회계과 1256
15.4%
경기도건설본부 333
 
4.1%
관리과 329
 
4.0%
입찰집행관pc 160
 
2.0%
경기도청 12
 
0.1%
경기도인재개발원 10
 
0.1%
Other values (60) 145
 
1.8%
2024-04-29T22:25:57.364302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4759
 
8.4%
1973
 
3.5%
1728
 
3.0%
1722
 
3.0%
1721
 
3.0%
) 1720
 
3.0%
( 1720
 
3.0%
1719
 
3.0%
1719
 
3.0%
1718
 
3.0%
Other values (108) 36456
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45481
79.9%
Space Separator 4759
 
8.4%
Uppercase Letter 3077
 
5.4%
Close Punctuation 1720
 
3.0%
Open Punctuation 1720
 
3.0%
Lowercase Letter 189
 
0.3%
Decimal Number 7
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1973
 
4.3%
1728
 
3.8%
1722
 
3.8%
1721
 
3.8%
1719
 
3.8%
1719
 
3.8%
1718
 
3.8%
1717
 
3.8%
1716
 
3.8%
1715
 
3.8%
Other values (98) 28033
61.6%
Uppercase Letter
ValueCountFrequency (%)
P 1539
50.0%
C 1538
50.0%
Lowercase Letter
ValueCountFrequency (%)
c 95
50.3%
p 94
49.7%
Decimal Number
ValueCountFrequency (%)
3 6
85.7%
1 1
 
14.3%
Space Separator
ValueCountFrequency (%)
4759
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1720
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1720
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45481
79.9%
Common 8208
 
14.4%
Latin 3266
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1973
 
4.3%
1728
 
3.8%
1722
 
3.8%
1721
 
3.8%
1719
 
3.8%
1719
 
3.8%
1718
 
3.8%
1717
 
3.8%
1716
 
3.8%
1715
 
3.8%
Other values (98) 28033
61.6%
Common
ValueCountFrequency (%)
4759
58.0%
) 1720
 
21.0%
( 1720
 
21.0%
3 6
 
0.1%
. 2
 
< 0.1%
1 1
 
< 0.1%
Latin
ValueCountFrequency (%)
P 1539
47.1%
C 1538
47.1%
c 95
 
2.9%
p 94
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45481
79.9%
ASCII 11474
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4759
41.5%
) 1720
 
15.0%
( 1720
 
15.0%
P 1539
 
13.4%
C 1538
 
13.4%
c 95
 
0.8%
p 94
 
0.8%
3 6
 
0.1%
. 2
 
< 0.1%
1 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
1973
 
4.3%
1728
 
3.8%
1722
 
3.8%
1721
 
3.8%
1719
 
3.8%
1719
 
3.8%
1718
 
3.8%
1717
 
3.8%
1716
 
3.8%
1715
 
3.8%
Other values (98) 28033
61.6%

설명회실시일시
Date

MISSING 

Distinct17
Distinct (%)81.0%
Missing3455
Missing (%)99.4%
Memory size27.3 KiB
Minimum2019-01-22 10:00:00
Maximum2023-05-24 14:00:00
2024-04-29T22:25:57.477280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:25:57.580103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

설명회실시장소
Text

MISSING 

Distinct24
Distinct (%)63.2%
Missing3438
Missing (%)98.9%
Memory size27.3 KiB
2024-04-29T22:25:57.782033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length10.157895
Min length2

Characters and Unicode

Total characters386
Distinct characters89
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)42.1%

Sample

1st row경기도립노인전문평택병원
2nd row경기도립노인전문동두천병원
3rd row과업지시서 참고
4th row과업설명 없음
5th row공고서에의함
ValueCountFrequency (%)
경기도광역환경관리사업소 4
 
5.6%
의함 4
 
5.6%
공고서에의함 3
 
4.2%
성남소방서 3
 
4.2%
2층 3
 
4.2%
소회의실 3
 
4.2%
광역환경관리사업소 3
 
4.2%
없음 3
 
4.2%
공고서에 3
 
4.2%
1538 2
 
2.8%
Other values (31) 41
56.9%
2024-04-29T22:25:58.101599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
8.8%
20
 
5.2%
19
 
4.9%
14
 
3.6%
11
 
2.8%
11
 
2.8%
11
 
2.8%
10
 
2.6%
9
 
2.3%
1 8
 
2.1%
Other values (79) 239
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
83.4%
Space Separator 34
 
8.8%
Decimal Number 23
 
6.0%
Open Punctuation 3
 
0.8%
Close Punctuation 3
 
0.8%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
20
 
6.2%
19
 
5.9%
14
 
4.3%
11
 
3.4%
11
 
3.4%
11
 
3.4%
10
 
3.1%
9
 
2.8%
8
 
2.5%
7
 
2.2%
Other values (68) 202
62.7%
Decimal Number
ValueCountFrequency (%)
1 8
34.8%
9 4
17.4%
2 3
 
13.0%
3 3
 
13.0%
8 2
 
8.7%
5 2
 
8.7%
4 1
 
4.3%
Space Separator
ValueCountFrequency (%)
34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
83.4%
Common 64
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
20
 
6.2%
19
 
5.9%
14
 
4.3%
11
 
3.4%
11
 
3.4%
11
 
3.4%
10
 
3.1%
9
 
2.8%
8
 
2.5%
7
 
2.2%
Other values (68) 202
62.7%
Common
ValueCountFrequency (%)
34
53.1%
1 8
 
12.5%
9 4
 
6.2%
( 3
 
4.7%
2 3
 
4.7%
) 3
 
4.7%
3 3
 
4.7%
8 2
 
3.1%
5 2
 
3.1%
- 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
83.4%
ASCII 64
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
53.1%
1 8
 
12.5%
9 4
 
6.2%
( 3
 
4.7%
2 3
 
4.7%
) 3
 
4.7%
3 3
 
4.7%
8 2
 
3.1%
5 2
 
3.1%
- 1
 
1.6%
Hangul
ValueCountFrequency (%)
20
 
6.2%
19
 
5.9%
14
 
4.3%
11
 
3.4%
11
 
3.4%
11
 
3.4%
10
 
3.1%
9
 
2.8%
8
 
2.5%
7
 
2.2%
Other values (68) 202
62.7%
Distinct3473
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
2024-04-29T22:25:58.596744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length113
Median length112
Mean length112.39298
Min length112

Characters and Unicode

Total characters390678
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

Unique3470 ?
Unique (%)99.8%

Sample

1st rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240438950&bidseq=00&releaseYn=Y&taskClCd=5
2nd rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240439847&bidseq=00&releaseYn=Y&taskClCd=5
3rd rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240322012&bidseq=01&releaseYn=Y&taskClCd=5
4th rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240438602&bidseq=00&releaseYn=Y&taskClCd=5
5th rowhttps://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240418780&bidseq=01&releaseYn=Y&taskClCd=5
ValueCountFrequency (%)
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20201033509&bidseq=00&releaseyn=y&taskclcd=5 2
 
0.1%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20201101221&bidseq=00&releaseyn=y&taskclcd=5 2
 
0.1%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20201101780&bidseq=00&releaseyn=y&taskclcd=5 2
 
0.1%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20190101886&bidseq=00&releaseyn=y&taskclcd=5 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200226662&bidseq=00&releaseyn=y&taskclcd=5 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200231048&bidseq=00&releaseyn=y&taskclcd=5 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200219808&bidseq=00&releaseyn=y&taskclcd=5 1
 
< 0.1%
https://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20240438950&bidseq=00&releaseyn=y&taskclcd=5 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200230641&bidseq=01&releaseyn=y&taskclcd=5 1
 
< 0.1%
http://www.g2b.go.kr:8081/ep/invitation/publish/bidinfodtl.do?bidno=20200229682&bidseq=00&releaseyn=y&taskclcd=5 1
 
< 0.1%
Other values (3463) 3463
99.6%
2024-04-29T22:25:59.041053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 24332
 
6.2%
t 20856
 
5.3%
/ 20856
 
5.3%
0 19926
 
5.1%
d 17380
 
4.4%
n 17380
 
4.4%
b 17380
 
4.4%
o 17380
 
4.4%
e 17380
 
4.4%
s 15270
 
3.9%
Other values (30) 202538
51.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 234258
60.0%
Decimal Number 66044
 
16.9%
Other Punctuation 55616
 
14.2%
Uppercase Letter 20856
 
5.3%
Math Symbol 13904
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 24332
 
10.4%
t 20856
 
8.9%
d 17380
 
7.4%
n 17380
 
7.4%
b 17380
 
7.4%
o 17380
 
7.4%
e 17380
 
7.4%
s 15270
 
6.5%
l 13904
 
5.9%
a 10428
 
4.5%
Other values (10) 62568
26.7%
Decimal Number
ValueCountFrequency (%)
0 19926
30.2%
2 12333
18.7%
1 9039
13.7%
8 8486
12.8%
5 5280
 
8.0%
3 3034
 
4.6%
9 2535
 
3.8%
4 2140
 
3.2%
6 1638
 
2.5%
7 1633
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 20856
37.5%
. 13904
25.0%
& 10428
18.8%
: 6952
 
12.5%
? 3476
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
Y 6952
33.3%
C 6952
33.3%
D 3476
16.7%
I 3476
16.7%
Math Symbol
ValueCountFrequency (%)
= 13904
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 255114
65.3%
Common 135564
34.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 24332
 
9.5%
t 20856
 
8.2%
d 17380
 
6.8%
n 17380
 
6.8%
b 17380
 
6.8%
o 17380
 
6.8%
e 17380
 
6.8%
s 15270
 
6.0%
l 13904
 
5.5%
a 10428
 
4.1%
Other values (14) 83424
32.7%
Common
ValueCountFrequency (%)
/ 20856
15.4%
0 19926
14.7%
. 13904
10.3%
= 13904
10.3%
2 12333
9.1%
& 10428
7.7%
1 9039
6.7%
8 8486
6.3%
: 6952
 
5.1%
5 5280
 
3.9%
Other values (6) 14456
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 390678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 24332
 
6.2%
t 20856
 
5.3%
/ 20856
 
5.3%
0 19926
 
5.1%
d 17380
 
4.4%
n 17380
 
4.4%
b 17380
 
4.4%
o 17380
 
4.4%
e 17380
 
4.4%
s 15270
 
3.9%
Other values (30) 202538
51.8%
Distinct57
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
2024-04-29T22:25:59.257783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length5
Mean length6.7327388
Min length3

Characters and Unicode

Total characters23403
Distinct characters107
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row경기도지사
2nd row경기도지사
3rd row경기도지사
4th row경기도지사
5th row경기도지사
ValueCountFrequency (%)
경기도지사 2128
61.0%
경기도건설본부장 415
 
11.9%
대한민국정부인천지방조달청장 213
 
6.1%
경기도남한산성세계유산센터소장 72
 
2.1%
경기도의회사무처장 70
 
2.0%
경기도농업기술원장 47
 
1.3%
경기도소방재난본부장 42
 
1.2%
경기도인재개발원장 40
 
1.1%
경기도축산진흥센터장 38
 
1.1%
대한민국정부서울지방조달청장 38
 
1.1%
Other values (49) 384
 
11.0%
2024-04-29T22:25:59.572783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3075
13.1%
3044
13.0%
2997
12.8%
2379
 
10.2%
2205
 
9.4%
1245
 
5.3%
756
 
3.2%
488
 
2.1%
447
 
1.9%
415
 
1.8%
Other values (97) 6352
27.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23392
> 99.9%
Space Separator 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3075
13.1%
3044
13.0%
2997
12.8%
2379
 
10.2%
2205
 
9.4%
1245
 
5.3%
756
 
3.2%
488
 
2.1%
447
 
1.9%
415
 
1.8%
Other values (96) 6341
27.1%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23392
> 99.9%
Common 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3075
13.1%
3044
13.0%
2997
12.8%
2379
 
10.2%
2205
 
9.4%
1245
 
5.3%
756
 
3.2%
488
 
2.1%
447
 
1.9%
415
 
1.8%
Other values (96) 6341
27.1%
Common
ValueCountFrequency (%)
11
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23392
> 99.9%
ASCII 11
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3075
13.1%
3044
13.0%
2997
12.8%
2379
 
10.2%
2205
 
9.4%
1245
 
5.3%
756
 
3.2%
488
 
2.1%
447
 
1.9%
415
 
1.8%
Other values (96) 6341
27.1%
ASCII
ValueCountFrequency (%)
11
100.0%

조달청일반용역여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3230 
True
 
246
ValueCountFrequency (%)
False 3230
92.9%
True 246
 
7.1%
2024-04-29T22:25:59.687271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

용역구분명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
일반용역
2152 
기술용역
1324 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반용역 2152
61.9%
기술용역 1324
38.1%

Length

2024-04-29T22:25:59.804742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:25:59.923447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반용역 2152
61.9%
기술용역 1324
38.1%

물품분류제한여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing3230
Missing (%)92.9%
Memory size6.9 KiB
False
 
246
(Missing)
3230 
ValueCountFrequency (%)
False 246
 
7.1%
(Missing) 3230
92.9%
2024-04-29T22:26:00.007295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
공동수급불허
2343 
공동이행
536 
분담이행
270 
공동+분담이행
 
215
<NA>
 
112

Length

Max length7
Median length6
Mean length5.5336594
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row분담이행
2nd row공동수급불허
3rd row분담이행
4th row공동이행
5th row공동이행

Common Values

ValueCountFrequency (%)
공동수급불허 2343
67.4%
공동이행 536
 
15.4%
분담이행 270
 
7.8%
공동+분담이행 215
 
6.2%
<NA> 112
 
3.2%

Length

2024-04-29T22:26:00.114638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:00.243691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동수급불허 2343
67.4%
공동이행 536
 
15.4%
분담이행 270
 
7.8%
공동+분담이행 215
 
6.2%
na 112
 
3.2%

지사투찰허용여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing1826
Missing (%)52.5%
Memory size6.9 KiB
False
1635 
True
 
15
(Missing)
1826 
ValueCountFrequency (%)
False 1635
47.0%
True 15
 
0.4%
(Missing) 1826
52.5%
2024-04-29T22:26:00.352584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지명경쟁여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3444 
True
 
32
ValueCountFrequency (%)
False 3444
99.1%
True 32
 
0.9%
2024-04-29T22:26:00.434958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

실적경쟁여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3465 
True
 
11
ValueCountFrequency (%)
False 3465
99.7%
True 11
 
0.3%
2024-04-29T22:26:00.516112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

PQ심사여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3164 
True
 
312
ValueCountFrequency (%)
False 3164
91.0%
True 312
 
9.0%
2024-04-29T22:26:00.598453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

TP심사여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3474 
True
 
2
ValueCountFrequency (%)
False 3474
99.9%
True 2
 
0.1%
2024-04-29T22:26:00.697981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공고설명여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
False
3475 
True
 
1
ValueCountFrequency (%)
False 3475
> 99.9%
True 1
 
< 0.1%
2024-04-29T22:26:00.779414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
1676 
재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.
1204 
재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.
596 

Length

Max length31
Median length31
Mean length17.981588
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1676
48.2%
재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다. 1204
34.6%
재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다. 596
 
17.1%

Length

2024-04-29T22:26:00.888162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:00.992911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재입찰시 1800
14.4%
예비가격을 1800
14.4%
예정가격이 1800
14.4%
산정됩니다 1800
14.4%
na 1676
13.4%
다시 1204
9.7%
생성하여 1204
9.7%
기존 596
 
4.8%
사용하여 596
 
4.8%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
없음
1980 
<NA>
1388 
수기
 
106
전자문서
 
2

Length

Max length4
Median length2
Mean length2.7997699
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 1980
57.0%
<NA> 1388
39.9%
수기 106
 
3.0%
전자문서 2
 
0.1%

Length

2024-04-29T22:26:01.126075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:01.245994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 1980
57.0%
na 1388
39.9%
수기 106
 
3.0%
전자문서 2
 
0.1%
Distinct84
Distinct (%)77.8%
Missing3368
Missing (%)96.9%
Memory size27.3 KiB
Minimum2019-01-21 17:00:00
Maximum2024-03-06 17:00:00
2024-04-29T22:26:01.370680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:26:01.497018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

낙찰하한율
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)0.6%
Missing1050
Missing (%)30.2%
Infinite0
Infinite (%)0.0%
Mean87.529461
Minimum47.995
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:26:01.620689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.995
5-th percentile80.495
Q187.745
median88
Q388
95-th percentile90
Maximum100
Range52.005
Interquartile range (IQR)0.255

Descriptive statistics

Standard deviation2.8207611
Coefficient of variation (CV)0.032226419
Kurtosis37.975185
Mean87.529461
Median Absolute Deviation (MAD)0.255
Skewness-4.4025033
Sum212346.47
Variance7.9566932
MonotonicityNot monotonic
2024-04-29T22:26:01.738328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
88.0 726
20.9%
87.745 676
19.4%
90.0 493
14.2%
86.745 268
 
7.7%
85.495 67
 
1.9%
77.995 65
 
1.9%
87.995 43
 
1.2%
79.995 36
 
1.0%
80.495 27
 
0.8%
72.995 14
 
0.4%
Other values (5) 11
 
0.3%
(Missing) 1050
30.2%
ValueCountFrequency (%)
47.995 2
 
0.1%
72.995 14
 
0.4%
77.995 65
 
1.9%
79.995 36
 
1.0%
80.495 27
 
0.8%
82.995 4
 
0.1%
84.245 3
 
0.1%
85.495 67
 
1.9%
86.745 268
 
7.7%
87.745 676
19.4%
ValueCountFrequency (%)
100.0 1
 
< 0.1%
90.0 493
14.2%
88.0 726
20.9%
87.995 43
 
1.2%
87.748 1
 
< 0.1%
87.745 676
19.4%
86.745 268
 
7.7%
85.495 67
 
1.9%
84.245 3
 
0.1%
82.995 4
 
0.1%
Distinct3472
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
Minimum2019-01-02 10:57:21
Maximum2024-04-24 17:40:32
2024-04-29T22:26:01.873207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:26:02.021211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사전규격등록번호
Real number (ℝ)

MISSING 

Distinct1449
Distinct (%)67.5%
Missing1329
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean917755.87
Minimum656127
Maximum1432127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:26:02.171817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum656127
5-th percentile681544.1
Q1784541
median900046
Q31003982
95-th percentile1277196.4
Maximum1432127
Range776000
Interquartile range (IQR)219441

Descriptive statistics

Standard deviation180052.94
Coefficient of variation (CV)0.19618828
Kurtosis0.20302819
Mean917755.87
Median Absolute Deviation (MAD)109908
Skewness0.83689585
Sum1.9704218 × 109
Variance3.2419062 × 1010
MonotonicityNot monotonic
2024-04-29T22:26:02.337523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
746919 7
 
0.2%
679151 6
 
0.2%
798386 6
 
0.2%
674361 5
 
0.1%
1280944 5
 
0.1%
825178 5
 
0.1%
833271 5
 
0.1%
829152 5
 
0.1%
893657 5
 
0.1%
1023352 5
 
0.1%
Other values (1439) 2093
60.2%
(Missing) 1329
38.2%
ValueCountFrequency (%)
656127 2
0.1%
658311 2
0.1%
659945 3
0.1%
663225 2
0.1%
664799 1
 
< 0.1%
665089 1
 
< 0.1%
665631 1
 
< 0.1%
666188 3
0.1%
666799 2
0.1%
666803 1
 
< 0.1%
ValueCountFrequency (%)
1432127 1
 
< 0.1%
1431476 1
 
< 0.1%
1431195 1
 
< 0.1%
1431193 1
 
< 0.1%
1431000 1
 
< 0.1%
1425347 2
0.1%
1422869 3
0.1%
1422270 3
0.1%
1420597 1
 
< 0.1%
1420242 2
0.1%

정보화사업여부
Boolean

MISSING 

Distinct2
Distinct (%)0.8%
Missing3230
Missing (%)92.9%
Memory size6.9 KiB
True
 
152
False
 
94
(Missing)
3230 
ValueCountFrequency (%)
True 152
 
4.4%
False 94
 
2.7%
(Missing) 3230
92.9%
2024-04-29T22:26:02.458168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

낙찰방법명
Categorical

Distinct37
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
제한최저
1448 
협상에 의한 낙찰제
749 
추정가격 1억미만(PQ비대상)
250 
협상에 의한 낙찰자 결정
176 
추정가격 2억미만 1억이상(PQ비대상)
171 
Other values (32)
682 

Length

Max length45
Median length44
Mean length10.631473
Min length4

Unique

Unique6 ?
Unique (%)0.2%

Sample

1st row[환경부고시] 건설폐기물처리용역 적격업체 평가(추정가격 30억원미만 15억원이상)
2nd row제한최저
3rd row[환경부고시] 건설폐기물처리용역 적격업체 평가(추정가격 30억원미만 15억원이상)
4th row협상에 의한 낙찰제
5th row협상에 의한 낙찰제

Common Values

ValueCountFrequency (%)
제한최저 1448
41.7%
협상에 의한 낙찰제 749
21.5%
추정가격 1억미만(PQ비대상) 250
 
7.2%
협상에 의한 낙찰자 결정 176
 
5.1%
추정가격 2억미만 1억이상(PQ비대상) 171
 
4.9%
추정가격 5억원 미만(PQ대상) 78
 
2.2%
추정가격 5억미만(가격입찰 후 PQ심사) 71
 
2.0%
추정가격 30억미만 10억이상(PQ대상) 63
 
1.8%
추정가격 2억원미만(건설폐기물처리용역-환경부고시기준) 51
 
1.5%
추정가격 10억미만 5억이상(PQ대상) 50
 
1.4%
Other values (27) 369
 
10.6%

Length

2024-04-29T22:26:02.557150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제한최저 1448
19.9%
의한 925
12.7%
협상에 925
12.7%
추정가격 823
11.3%
낙찰제 749
10.3%
1억미만(pq비대상 250
 
3.4%
낙찰자 176
 
2.4%
결정 176
 
2.4%
2억미만 176
 
2.4%
1억이상(pq비대상 171
 
2.4%
Other values (57) 1452
20.0%

변경일시
Categorical

IMBALANCE 

Distinct33
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3390 
2021-11-24 12:23:20
 
19
2019-03-13 18:29:18
 
13
2020-03-27 10:34:52
 
7
2021-03-05 12:31:42
 
5
Other values (28)
 
42

Length

Max length19
Median length4
Mean length4.3711162
Min length4

Unique

Unique20 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3390
97.5%
2021-11-24 12:23:20 19
 
0.5%
2019-03-13 18:29:18 13
 
0.4%
2020-03-27 10:34:52 7
 
0.2%
2021-03-05 12:31:42 5
 
0.1%
2020-11-30 17:57:51 4
 
0.1%
2021-06-21 09:49:57 4
 
0.1%
2019-11-26 10:27:13 3
 
0.1%
2023-01-30 10:39:19 3
 
0.1%
2020-12-30 16:14:00 2
 
0.1%
Other values (23) 26
 
0.7%

Length

2024-04-29T22:26:02.683718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3390
95.2%
12:23:20 19
 
0.5%
2021-11-24 19
 
0.5%
2019-03-13 13
 
0.4%
18:29:18 13
 
0.4%
2020-03-27 7
 
0.2%
10:34:52 7
 
0.2%
2021-03-05 5
 
0.1%
12:31:42 5
 
0.1%
09:49:57 4
 
0.1%
Other values (54) 80
 
2.2%

업종제한여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing615
Missing (%)17.7%
Memory size6.9 KiB
True
2861 
(Missing)
615 
ValueCountFrequency (%)
True 2861
82.3%
(Missing) 615
 
17.7%
2024-04-29T22:26:02.776993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

변경공고사유
Text

MISSING 

Distinct375
Distinct (%)90.1%
Missing3060
Missing (%)88.0%
Memory size27.3 KiB
2024-04-29T22:26:03.066741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length188
Median length98
Mean length25.336538
Min length3

Characters and Unicode

Total characters10540
Distinct characters346
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

Unique351 ?
Unique (%)84.4%

Sample

1st row낙찰자 결정 부분 오류사항 정정 후 재공고 예정
2nd row사업내용 변경에 따라 신규 공고 예정
3rd row수정 후 재공고 예정
4th row예정가격 단일예가에서 복수예가로 변경으로 인한 변경공고
5th row공고명 오류에 따른 취소 후 재공고
ValueCountFrequency (%)
수정 76
 
3.2%
재공고 65
 
2.8%
52
 
2.2%
변경 51
 
2.2%
50
 
2.1%
입찰참가자격 46
 
1.9%
취소 38
 
1.6%
예정 37
 
1.6%
공고 35
 
1.5%
33
 
1.4%
Other values (925) 1879
79.6%
2024-04-29T22:26:03.591695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1976
 
18.7%
357
 
3.4%
334
 
3.2%
302
 
2.9%
217
 
2.1%
201
 
1.9%
182
 
1.7%
161
 
1.5%
. 153
 
1.5%
150
 
1.4%
Other values (336) 6507
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7666
72.7%
Space Separator 1976
 
18.7%
Decimal Number 371
 
3.5%
Other Punctuation 280
 
2.7%
Close Punctuation 90
 
0.9%
Open Punctuation 90
 
0.9%
Dash Punctuation 30
 
0.3%
Uppercase Letter 19
 
0.2%
Math Symbol 8
 
0.1%
Lowercase Letter 4
 
< 0.1%
Other values (2) 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
357
 
4.7%
334
 
4.4%
302
 
3.9%
217
 
2.8%
201
 
2.6%
182
 
2.4%
161
 
2.1%
150
 
2.0%
133
 
1.7%
133
 
1.7%
Other values (288) 5496
71.7%
Other Punctuation
ValueCountFrequency (%)
. 153
54.6%
, 37
 
13.2%
: 28
 
10.0%
# 14
 
5.0%
& 14
 
5.0%
; 14
 
5.0%
* 11
 
3.9%
/ 5
 
1.8%
% 2
 
0.7%
1
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 85
22.9%
2 79
21.3%
1 58
15.6%
3 38
10.2%
4 24
 
6.5%
9 22
 
5.9%
8 20
 
5.4%
7 16
 
4.3%
5 15
 
4.0%
6 14
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
P 4
21.1%
Q 4
21.1%
C 2
10.5%
E 2
10.5%
M 2
10.5%
S 2
10.5%
B 2
10.5%
G 1
 
5.3%
Math Symbol
ValueCountFrequency (%)
~ 3
37.5%
+ 2
25.0%
1
 
12.5%
= 1
 
12.5%
1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
p 1
25.0%
q 1
25.0%
s 1
25.0%
w 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 81
90.0%
] 5
 
5.6%
4
 
4.4%
Open Punctuation
ValueCountFrequency (%)
( 81
90.0%
[ 5
 
5.6%
4
 
4.4%
Space Separator
ValueCountFrequency (%)
1976
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7666
72.7%
Common 2851
 
27.0%
Latin 23
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
357
 
4.7%
334
 
4.4%
302
 
3.9%
217
 
2.8%
201
 
2.6%
182
 
2.4%
161
 
2.1%
150
 
2.0%
133
 
1.7%
133
 
1.7%
Other values (288) 5496
71.7%
Common
ValueCountFrequency (%)
1976
69.3%
. 153
 
5.4%
0 85
 
3.0%
) 81
 
2.8%
( 81
 
2.8%
2 79
 
2.8%
1 58
 
2.0%
3 38
 
1.3%
, 37
 
1.3%
- 30
 
1.1%
Other values (26) 233
 
8.2%
Latin
ValueCountFrequency (%)
P 4
17.4%
Q 4
17.4%
C 2
8.7%
E 2
8.7%
M 2
8.7%
S 2
8.7%
B 2
8.7%
p 1
 
4.3%
q 1
 
4.3%
s 1
 
4.3%
Other values (2) 2
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7666
72.7%
ASCII 2856
 
27.1%
None 9
 
0.1%
Punctuation 7
 
0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1976
69.2%
. 153
 
5.4%
0 85
 
3.0%
) 81
 
2.8%
( 81
 
2.8%
2 79
 
2.8%
1 58
 
2.0%
3 38
 
1.3%
, 37
 
1.3%
- 30
 
1.1%
Other values (30) 238
 
8.3%
Hangul
ValueCountFrequency (%)
357
 
4.7%
334
 
4.4%
302
 
3.9%
217
 
2.8%
201
 
2.6%
182
 
2.4%
161
 
2.1%
150
 
2.0%
133
 
1.7%
133
 
1.7%
Other values (288) 5496
71.7%
None
ValueCountFrequency (%)
4
44.4%
4
44.4%
· 1
 
11.1%
Punctuation
ValueCountFrequency (%)
3
42.9%
3
42.9%
1
 
14.3%
Arrows
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct1587
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
Minimum2019-01-08 15:00:00
Maximum2121-04-02 13:00:00
2024-04-29T22:26:03.718774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:26:03.846700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
0
1178 
1
 
20

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
0 1178
33.9%
1 20
 
0.6%

Length

2024-04-29T22:26:03.976480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:04.087046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
0 1178
33.9%
1 20
 
0.6%

[기초금액]기초금액
Real number (ℝ)

MISSING 

Distinct988
Distinct (%)82.5%
Missing2278
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean1.9513379 × 108
Minimum0
Maximum1.10439 × 1010
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:26:04.190524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5986820
Q126585000
median52470000
Q31.2744175 × 108
95-th percentile9.44393 × 108
Maximum1.10439 × 1010
Range1.10439 × 1010
Interquartile range (IQR)1.0085675 × 108

Descriptive statistics

Standard deviation5.4638395 × 108
Coefficient of variation (CV)2.8000479
Kurtosis144.07473
Mean1.9513379 × 108
Median Absolute Deviation (MAD)36074500
Skewness9.3379419
Sum2.3377028 × 1011
Variance2.9853542 × 1017
MonotonicityNot monotonic
2024-04-29T22:26:04.315882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30000000.0 14
 
0.4%
50000000.0 8
 
0.2%
40000000.0 8
 
0.2%
300000000.0 7
 
0.2%
7800.0 7
 
0.2%
38000000.0 5
 
0.1%
3000000.0 4
 
0.1%
46860000.0 4
 
0.1%
35000000.0 4
 
0.1%
29693070.0 4
 
0.1%
Other values (978) 1133
32.6%
(Missing) 2278
65.5%
ValueCountFrequency (%)
0.0 1
 
< 0.1%
38.0 1
 
< 0.1%
42.2 1
 
< 0.1%
46.66 1
 
< 0.1%
3800.0 2
 
0.1%
7800.0 7
0.2%
11900.0 1
 
< 0.1%
22900.0 2
 
0.1%
75900.0 1
 
< 0.1%
206800.0 1
 
< 0.1%
ValueCountFrequency (%)
11043900000.0 1
< 0.1%
5370979900.0 1
< 0.1%
3999144000.0 1
< 0.1%
3918303000.0 1
< 0.1%
3260858000.0 1
< 0.1%
3233225000.0 1
< 0.1%
3028319000.0 1
< 0.1%
2731000000.0 2
0.1%
2617000000.0 2
0.1%
2282568000.0 1
< 0.1%
Distinct1195
Distinct (%)99.7%
Missing2278
Missing (%)65.5%
Memory size27.3 KiB
Minimum2019-01-02 10:57:35
Maximum2024-04-25 13:41:17
2024-04-29T22:26:04.453862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:26:04.587056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
-3
1198 

Length

Max length4
Median length4
Mean length3.310702
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
-3 1198
34.5%

Length

2024-04-29T22:26:04.733761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:04.858065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
3 1198
34.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
3
1198 

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
3 1198
34.5%

Length

2024-04-29T22:26:05.197177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:05.283546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
3 1198
34.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
0
1198 

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
0 1198
34.5%

Length

2024-04-29T22:26:05.382550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:05.476540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
0 1198
34.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
0
1198 

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
0 1198
34.5%

Length

2024-04-29T22:26:05.568258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:05.665157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
0 1198
34.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
0
1198 

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
0 1198
34.5%

Length

2024-04-29T22:26:05.760455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:05.856966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
0 1198
34.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
0
1198 

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
0 1198
34.5%

Length

2024-04-29T22:26:05.968051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:06.067034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
0 1198
34.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
0
1198 

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
0 1198
34.5%

Length

2024-04-29T22:26:06.184688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:06.277220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
0 1198
34.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
0
1198 

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
0 1198
34.5%

Length

2024-04-29T22:26:06.373446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:06.464885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
0 1198
34.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
0
1198 

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
0 1198
34.5%

Length

2024-04-29T22:26:06.565122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:06.663765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
0 1198
34.5%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
2278 
0
1198 

Length

Max length4
Median length4
Mean length2.9660529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2278
65.5%
0 1198
34.5%

Length

2024-04-29T22:26:06.762443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:06.857265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2278
65.5%
0 1198
34.5%

[기초금액]가용금액
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)85.0%
Missing3456
Missing (%)99.4%
Infinite0
Infinite (%)0.0%
Mean4.0629823 × 108
Minimum86598000
Maximum1.929459 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:26:06.947781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86598000
5-th percentile87929900
Q11.3074548 × 108
median1.830391 × 108
Q32.5074825 × 108
95-th percentile1.6460512 × 109
Maximum1.929459 × 109
Range1.842861 × 109
Interquartile range (IQR)1.2000276 × 108

Descriptive statistics

Standard deviation5.6700626 × 108
Coefficient of variation (CV)1.395542
Kurtosis3.0029412
Mean4.0629823 × 108
Median Absolute Deviation (MAD)61213828
Skewness2.1043611
Sum8.1259646 × 109
Variance3.214961 × 1017
MonotonicityNot monotonic
2024-04-29T22:26:07.071293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
166012000 2
 
0.1%
139665700 2
 
0.1%
200385590 2
 
0.1%
101355000 1
 
< 0.1%
103984840 1
 
< 0.1%
176000000 1
 
< 0.1%
1540151600 1
 
< 0.1%
190078196 1
 
< 0.1%
102000000 1
 
< 0.1%
334017000 1
 
< 0.1%
Other values (7) 7
 
0.2%
(Missing) 3456
99.4%
ValueCountFrequency (%)
86598000 1
< 0.1%
88000000 1
< 0.1%
101355000 1
< 0.1%
102000000 1
< 0.1%
103984840 1
< 0.1%
139665700 2
0.1%
166012000 2
0.1%
176000000 1
< 0.1%
190078196 1
< 0.1%
200385590 2
0.1%
ValueCountFrequency (%)
1929458960 1
< 0.1%
1631135000 1
< 0.1%
1540151600 1
< 0.1%
404195000 1
< 0.1%
334017000 1
< 0.1%
222992000 1
< 0.1%
203872410 1
< 0.1%
200385590 2
0.1%
190078196 1
< 0.1%
176000000 1
< 0.1%
Distinct1195
Distinct (%)99.7%
Missing2278
Missing (%)65.5%
Memory size27.3 KiB
Minimum2019-01-02 10:57:35
Maximum2024-04-25 13:41:17
2024-04-29T22:26:07.202949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:26:07.330878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

[구매대상물품]물품순번
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3268 
1
 
208

Length

Max length4
Median length4
Mean length3.8204833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3268
94.0%
1 208
 
6.0%

Length

2024-04-29T22:26:07.457660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:07.561847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3268
94.0%
1 208
 
6.0%

[구매대상물품]물품분류번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)14.4%
Missing3268
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean80528868
Minimum73152177
Maximum90121599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:26:07.663936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73152177
5-th percentile73152177
Q180909028
median81111599
Q381111899
95-th percentile82131699
Maximum90121599
Range16969422
Interquartile range (IQR)202871.5

Descriptive statistics

Standard deviation2446606.3
Coefficient of variation (CV)0.03038173
Kurtosis5.1967759
Mean80528868
Median Absolute Deviation (MAD)300
Skewness-1.6225806
Sum1.6750004 × 1010
Variance5.9858823 × 1012
MonotonicityNot monotonic
2024-04-29T22:26:07.786485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
81111599 48
 
1.4%
81111899 43
 
1.2%
73152177 13
 
0.4%
81112002 10
 
0.3%
81111799 9
 
0.3%
80909032 9
 
0.3%
81111801 8
 
0.2%
78131699 7
 
0.2%
82121599 7
 
0.2%
80161590 6
 
0.2%
Other values (20) 48
 
1.4%
(Missing) 3268
94.0%
ValueCountFrequency (%)
73152177 13
0.4%
73152178 2
 
0.1%
73152179 1
 
< 0.1%
78131699 7
0.2%
80101507 4
 
0.1%
80101699 1
 
< 0.1%
80111699 2
 
0.1%
80141619 4
 
0.1%
80141990 4
 
0.1%
80161590 6
0.2%
ValueCountFrequency (%)
90121599 1
 
< 0.1%
86111598 1
 
< 0.1%
85171599 4
0.1%
84131503 2
 
0.1%
82141502 1
 
< 0.1%
82131699 5
0.1%
82131603 5
0.1%
82121599 7
0.2%
81151699 1
 
< 0.1%
81112199 1
 
< 0.1%

[구매대상물품]품명
Categorical

IMBALANCE 

Distinct32
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3268 
정보시스템개발서비스
 
48
정보시스템유지관리서비스
 
41
운송장비수리서비스
 
13
데이터서비스
 
10
Other values (27)
 
96

Length

Max length17
Median length4
Mean length4.3633487
Min length4

Unique

Unique9 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3268
94.0%
정보시스템개발서비스 48
 
1.4%
정보시스템유지관리서비스 41
 
1.2%
운송장비수리서비스 13
 
0.4%
데이터서비스 10
 
0.3%
기타연구조사서비스 9
 
0.3%
정보인프라구축서비스 9
 
0.3%
컴퓨터네트워크또는인터넷보안서비스 8
 
0.2%
창고서비스 7
 
0.2%
종이인쇄물제작서비스 7
 
0.2%
Other values (22) 56
 
1.6%

Length

2024-04-29T22:26:07.914780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3268
94.0%
정보시스템개발서비스 48
 
1.4%
정보시스템유지관리서비스 41
 
1.2%
운송장비수리서비스 13
 
0.4%
데이터서비스 10
 
0.3%
기타연구조사서비스 9
 
0.3%
정보인프라구축서비스 9
 
0.3%
컴퓨터네트워크또는인터넷보안서비스 8
 
0.2%
창고서비스 7
 
0.2%
종이인쇄물제작서비스 7
 
0.2%
Other values (22) 56
 
1.6%

[구매대상물품]세부품명번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)14.9%
Missing3268
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean8.0528868 × 109
Minimum7.3152177 × 109
Maximum9.0121599 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:26:08.031064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3152177 × 109
5-th percentile7.3152177 × 109
Q18.0909028 × 109
median8.1111599 × 109
Q38.1111899 × 109
95-th percentile8.2131699 × 109
Maximum9.0121599 × 109
Range1.6969422 × 109
Interquartile range (IQR)20287150

Descriptive statistics

Standard deviation2.4466063 × 108
Coefficient of variation (CV)0.03038173
Kurtosis5.1967759
Mean8.0528868 × 109
Median Absolute Deviation (MAD)30000
Skewness-1.6225806
Sum1.6750004 × 1012
Variance5.9858823 × 1016
MonotonicityNot monotonic
2024-04-29T22:26:08.158967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8111159901 48
 
1.4%
8111189901 43
 
1.2%
7315217701 13
 
0.4%
8090903201 9
 
0.3%
8111179901 9
 
0.3%
8111180101 8
 
0.2%
7813169901 7
 
0.2%
8212159901 7
 
0.2%
8016159001 6
 
0.2%
8017160201 5
 
0.1%
Other values (21) 53
 
1.5%
(Missing) 3268
94.0%
ValueCountFrequency (%)
7315217701 13
0.4%
7315217801 2
 
0.1%
7315217901 1
 
< 0.1%
7813169901 7
0.2%
8010150701 4
 
0.1%
8010169901 1
 
< 0.1%
8011169901 2
 
0.1%
8014161901 4
 
0.1%
8014199001 4
 
0.1%
8016159001 6
0.2%
ValueCountFrequency (%)
9012159901 1
 
< 0.1%
8611159801 1
 
< 0.1%
8517159901 4
0.1%
8413150301 2
 
0.1%
8214150201 1
 
< 0.1%
8213169901 5
0.1%
8213160301 5
0.1%
8212159901 7
0.2%
8115169901 1
 
< 0.1%
8111219901 1
 
< 0.1%

[구매대상물품]세부품명
Categorical

IMBALANCE 

Distinct33
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3268 
정보시스템개발서비스
 
48
정보시스템유지관리서비스
 
41
운송장비수리서비스
 
13
기타연구조사서비스
 
9
Other values (28)
 
97

Length

Max length17
Median length4
Mean length4.3705409
Min length4

Unique

Unique9 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3268
94.0%
정보시스템개발서비스 48
 
1.4%
정보시스템유지관리서비스 41
 
1.2%
운송장비수리서비스 13
 
0.4%
기타연구조사서비스 9
 
0.3%
정보인프라구축서비스 9
 
0.3%
컴퓨터네트워크또는인터넷보안서비스 8
 
0.2%
종이인쇄물제작서비스 7
 
0.2%
창고서비스 7
 
0.2%
기타사업지원서비스 6
 
0.2%
Other values (23) 60
 
1.7%

Length

2024-04-29T22:26:08.315446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3268
94.0%
정보시스템개발서비스 48
 
1.4%
정보시스템유지관리서비스 41
 
1.2%
운송장비수리서비스 13
 
0.4%
기타연구조사서비스 9
 
0.3%
정보인프라구축서비스 9
 
0.3%
컴퓨터네트워크또는인터넷보안서비스 8
 
0.2%
종이인쇄물제작서비스 7
 
0.2%
창고서비스 7
 
0.2%
기타사업지원서비스 6
 
0.2%
Other values (23) 60
 
1.7%
Distinct42
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3268 
수요기관 규격
 
79
제안요청서 참조
 
20
제안요청서와 같음
 
13
과업내역에 따름
 
13
Other values (37)
 
83

Length

Max length32
Median length4
Mean length4.3291139
Min length4

Unique

Unique18 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3268
94.0%
수요기관 규격 79
 
2.3%
제안요청서 참조 20
 
0.6%
제안요청서와 같음 13
 
0.4%
과업내역에 따름 13
 
0.4%
규격서 참조 8
 
0.2%
과업지시서와 같음 6
 
0.2%
제안요청서에 따름 5
 
0.1%
제안요청서 참고 4
 
0.1%
보고서 및 최종성과품 4
 
0.1%
Other values (32) 56
 
1.6%

Length

2024-04-29T22:26:08.447599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3268
87.8%
수요기관 81
 
2.2%
규격 79
 
2.1%
참조 36
 
1.0%
제안요청서 28
 
0.8%
따름 23
 
0.6%
같음 21
 
0.6%
수요기관규격 13
 
0.3%
과업내역에 13
 
0.3%
제안요청서와 13
 
0.3%
Other values (60) 149
 
4.0%

[구매대상물품]수량
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3268 
1
 
208

Length

Max length4
Median length4
Mean length3.8204833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3268
94.0%
1 208
 
6.0%

Length

2024-04-29T22:26:08.564915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:08.658827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3268
94.0%
1 208
 
6.0%

[구매대상물품]단위
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3268 
 
208

Length

Max length4
Median length4
Mean length3.8204833
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3268
94.0%
208
 
6.0%

Length

2024-04-29T22:26:08.753695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:08.848637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3268
94.0%
208
 
6.0%

[구매대상물품]단가
Real number (ℝ)

MISSING 

Distinct106
Distinct (%)51.0%
Missing3268
Missing (%)94.0%
Infinite0
Infinite (%)0.0%
Mean5.1235273 × 108
Minimum55010000
Maximum7.835786 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:26:08.958768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55010000
5-th percentile70000000
Q11.18441 × 108
median2.27706 × 108
Q34.27274 × 108
95-th percentile1.996596 × 109
Maximum7.835786 × 109
Range7.780776 × 109
Interquartile range (IQR)3.08833 × 108

Descriptive statistics

Standard deviation9.4915492 × 108
Coefficient of variation (CV)1.852542
Kurtosis30.586982
Mean5.1235273 × 108
Median Absolute Deviation (MAD)1.356135 × 108
Skewness5.0438199
Sum1.0656937 × 1011
Variance9.0089507 × 1017
MonotonicityNot monotonic
2024-04-29T22:26:09.095471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70000000 10
 
0.3%
76415000 6
 
0.2%
2020000000 4
 
0.1%
90000000 4
 
0.1%
94185000 4
 
0.1%
55010000 4
 
0.1%
69572000 4
 
0.1%
98000000 4
 
0.1%
389900000 3
 
0.1%
295000000 3
 
0.1%
Other values (96) 162
 
4.7%
(Missing) 3268
94.0%
ValueCountFrequency (%)
55010000 4
 
0.1%
66884000 1
 
< 0.1%
67906000 1
 
< 0.1%
69572000 4
 
0.1%
70000000 10
0.3%
76415000 6
0.2%
81800000 3
 
0.1%
86598000 1
 
< 0.1%
88000000 1
 
< 0.1%
90000000 4
 
0.1%
ValueCountFrequency (%)
7835786000 1
 
< 0.1%
6886971000 1
 
< 0.1%
5103013000 2
0.1%
2612567000 1
 
< 0.1%
2020000000 4
0.1%
1996596000 3
0.1%
1929458960 1
 
< 0.1%
1855596000 2
0.1%
1631135000 2
0.1%
1540151600 1
 
< 0.1%
Distinct23
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3360 
2020-12-31 00:00:00
 
41
2021-12-31 00:00:00
 
24
2019-12-31 00:00:00
 
16
2019-11-30 00:00:00
 
6
Other values (18)
 
29

Length

Max length19
Median length4
Mean length4.5005754
Min length4

Unique

Unique11 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3360
96.7%
2020-12-31 00:00:00 41
 
1.2%
2021-12-31 00:00:00 24
 
0.7%
2019-12-31 00:00:00 16
 
0.5%
2019-11-30 00:00:00 6
 
0.2%
2020-11-30 00:00:00 3
 
0.1%
2019-12-20 00:00:00 3
 
0.1%
2019-10-30 00:00:00 3
 
0.1%
2019-08-31 00:00:00 3
 
0.1%
2019-12-21 00:00:00 2
 
0.1%
Other values (13) 15
 
0.4%

Length

2024-04-29T22:26:09.251533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3360
93.5%
00:00:00 116
 
3.2%
2020-12-31 41
 
1.1%
2021-12-31 24
 
0.7%
2019-12-31 16
 
0.4%
2019-11-30 6
 
0.2%
2020-11-30 3
 
0.1%
2019-12-20 3
 
0.1%
2019-10-30 3
 
0.1%
2019-08-31 3
 
0.1%
Other values (14) 17
 
0.5%

[구매대상물품]납품일수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)15.2%
Missing3384
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean155.61957
Minimum40
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.7 KiB
2024-04-29T22:26:09.363612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile45
Q1120
median150
Q3192.5
95-th percentile270.9
Maximum300
Range260
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation70.691536
Coefficient of variation (CV)0.45425866
Kurtosis-0.70387437
Mean155.61957
Median Absolute Deviation (MAD)30
Skewness0.24431597
Sum14317
Variance4997.2932
MonotonicityNot monotonic
2024-04-29T22:26:09.502984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
150 19
 
0.5%
120 16
 
0.5%
180 13
 
0.4%
240 10
 
0.3%
90 7
 
0.2%
60 5
 
0.1%
45 4
 
0.1%
300 4
 
0.1%
40 4
 
0.1%
230 3
 
0.1%
Other values (4) 7
 
0.2%
(Missing) 3384
97.4%
ValueCountFrequency (%)
40 4
 
0.1%
45 4
 
0.1%
60 5
 
0.1%
70 1
 
< 0.1%
90 7
 
0.2%
120 16
0.5%
150 19
0.5%
180 13
0.4%
230 3
 
0.1%
240 10
0.3%
ValueCountFrequency (%)
300 4
 
0.1%
272 1
 
< 0.1%
270 2
 
0.1%
255 3
 
0.1%
240 10
0.3%
230 3
 
0.1%
180 13
0.4%
150 19
0.5%
120 16
0.5%
90 7
 
0.2%

[구매대상물품]납품장소
Categorical

IMBALANCE 

Distinct32
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3268 
과업내역에 따름
 
83
수요기관 지정장소
 
46
경기도
 
12
경기도의회사무처 언론홍보담당관실
 
9
Other values (27)
 
58

Length

Max length31
Median length4
Mean length4.3017837
Min length3

Unique

Unique13 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3268
94.0%
과업내역에 따름 83
 
2.4%
수요기관 지정장소 46
 
1.3%
경기도 12
 
0.3%
경기도의회사무처 언론홍보담당관실 9
 
0.3%
경기도청 7
 
0.2%
수요부서 요청장소 5
 
0.1%
수요부서 지정장소 4
 
0.1%
경기도의회사무처 협치지원담당관실 4
 
0.1%
제안요청서 참고 3
 
0.1%
Other values (22) 35
 
1.0%

Length

2024-04-29T22:26:09.634169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3268
89.1%
따름 83
 
2.3%
과업내역에 83
 
2.3%
지정장소 52
 
1.4%
수요기관 49
 
1.3%
경기도의회사무처 19
 
0.5%
경기도 18
 
0.5%
경기도청 10
 
0.3%
언론홍보담당관실 9
 
0.2%
수요부서 9
 
0.2%
Other values (33) 67
 
1.8%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.3 KiB
<NA>
3268 
과업내역에 따름
 
192
현장설치도
 
9
납품장소 입고도
 
4
수요기관희망장소입고도
 
3

Length

Max length11
Median length4
Mean length4.2341772
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3268
94.0%
과업내역에 따름 192
 
5.5%
현장설치도 9
 
0.3%
납품장소 입고도 4
 
0.1%
수요기관희망장소입고도 3
 
0.1%

Length

2024-04-29T22:26:09.755155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:26:09.870000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3268
89.0%
과업내역에 192
 
5.2%
따름 192
 
5.2%
현장설치도 9
 
0.2%
납품장소 4
 
0.1%
입고도 4
 
0.1%
수요기관희망장소입고도 3
 
0.1%
Distinct208
Distinct (%)100.0%
Missing3268
Missing (%)94.0%
Memory size27.3 KiB
Minimum2019-01-04 14:05:05
Maximum2024-01-15 17:16:18
2024-04-29T22:26:09.984838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-29T22:26:10.119421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Sample

입찰공고일시입찰공고번호입찰공고차수재공고여부등록유형명공고종류명국제입찰여부참조번호입찰공고명공고기관명수요기관명입찰방식명계약체결방법명집행관명입찰참가자격등록마감일시공동수급협정서접수방식공동수급협정마감일시공동수급업체지역제한여부입찰개시일시입찰마감일시개찰일시공고규격서URL1공고규격서URL2공고규격서URL3공고규격서URL4공고규격서URL5공고규격서URL6공고규격파일명1공고규격파일명2공고규격파일명3공고규격파일명4공고규격파일명5공고규격파일명6재입찰허용여부PQ신청서접수일시TP심사신청방법명내역입찰여부입찰참가제한여부총예가건수추첨예가건수배정예산금액추정가격개찰장소설명회실시일시설명회실시장소입찰공고상세URL채권자명조달청일반용역여부용역구분명물품분류제한여부공동수급구성방식명지사투찰허용여부지명경쟁여부실적경쟁여부PQ심사여부TP심사여부공고설명여부예비가격재작성방법명실적신청서접수방법명실적신청서접수일시낙찰하한율등록일시사전규격등록번호정보화사업여부낙찰방법명변경일시업종제한여부변경공고사유재입찰개찰일시[기초금액]입찰분류번호[기초금액]기초금액[기초금액]기초금액공개일시[기초금액]예비가격범위시작률[기초금액]예비가격범위종료율[기초금액]평가기준금액[기초금액]안전관리비[기초금액]퇴직공제부금비[기초금액]환경보전비[기초금액]하도급대금지급보증수수료[기초금액]국민건강보험료[기초금액]국민연금보험료[기초금액]노인장기요양보험료[기초금액]가용금액[기초금액]입력일시[구매대상물품]물품순번[구매대상물품]물품분류번호[구매대상물품]품명[구매대상물품]세부품명번호[구매대상물품]세부품명[구매대상물품]물품규격명[구매대상물품]수량[구매대상물품]단위[구매대상물품]단가[구매대상물품]납품기한일시[구매대상물품]납품일수[구매대상물품]납품장소[구매대상물품]인도조건명[구매대상물품]공고게시일시
02024-04-24 17:40:31202404389500N조달청 또는 나라장터 자체 공고건긴급Y경기도 입찰공고 제2024-444호하송우~마산 도로확포장공사 건설폐기물처리용역경기도경기도 경기도건설본부전자입찰일반(총액)양학동2024-05-03 18:00전자문서2024-05-03 18:00:00N2024-04-25 10:00:002024-05-07 10:00:002024-05-07 11:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438950::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438950::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438950::00::8::3https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438950::00::C::4<NA><NA>20240438950-00_1713933001590_입찰공고문(하송우~마산 도로확포장공사 건설폐기물처리용역).hwpx20240438950-00_1713933001593_1~3.설계서및과업내용서(하송우~마산_건설폐기물처리용역)수정_법적 현황화.hwpx20240438950-00_1713933001595_SUMMARY NOTICE.hwp20240438950-00_1713933001600_(붙임4) (하송우~마산) 건설폐기물 처리용역 설계내역서_end.xls<NA><NA>Y<NA><NA><NA>N15421393900001944900000경기도 회계과 입찰집행관pc<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240438950&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N일반용역<NA>분담이행<NA>NNNNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.<NA><NA>82.9952024-04-24 17:40:321408430<NA>[환경부고시] 건설폐기물처리용역 적격업체 평가(추정가격 30억원미만 15억원이상)<NA>Y<NA>2024-05-07 11:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12024-04-24 16:56:54202404398470N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 제2024-445호구청사 설비동 흡수식 냉온수기 세관 용역경기도경기도전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)정재은2024-04-29 18:00공고서참조<NA>N2024-04-25 10:00:002024-04-30 10:00:002024-04-30 11:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240439847::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240439847::00::1::3https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240439847::00::2::2<NA><NA><NA>20240439847-00_1713945354861_공고문_냉온수기 세관.hwpx20240439847-00_1713945354897_상생결제 안내자료.pdf20240439847-00_1713945354880_과업지시서(흡수식 냉온수기 세관).hwpx<NA><NA><NA>Y<NA><NA><NA>N1542860000026000000경기도 회계과 입찰집행관 PC<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240439847&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N일반용역<NA>공동수급불허<NA>NNNNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>88.02024-04-24 16:56:54<NA><NA>제한최저<NA>Y<NA>2024-04-30 11:00:00028600000.02024-04-24 16:57:21-3300000000<NA>2024-04-24 16:57:21<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
22024-04-24 11:17:44202403220121N조달청 또는 나라장터 자체 공고건취소Y경기도 입찰공고 제2024-266호하송우~마산 도로확포장공사 건설폐기물처리용역경기도경기도 경기도건설본부전자입찰일반(총액)양학동2024-04-23 18:00전자문서2024-04-23 18:00:00N2024-03-15 10:00:002024-04-24 10:00:002024-04-24 11:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y<NA><NA><NA>N15421393900001944900000경기도 회계과 입찰집행관pc<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240322012&bidseq=01&releaseYn=Y&taskClCd=5경기도지사N일반용역<NA>분담이행<NA>NNNNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.<NA><NA>82.9952024-04-24 11:17:441408430<NA>[환경부고시] 건설폐기물처리용역 적격업체 평가(추정가격 30억원미만 15억원이상)<NA>Y낙찰자 결정 부분 오류사항 정정 후 재공고 예정2024-04-24 11:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32024-04-24 10:49:21202404386020N조달청 또는 나라장터 자체 공고건일반Y경기도 입찰공고 제2024-443호2030 경기도 주거종합계획 재검토 연구 용역경기도경기도전자입찰일반(총액)협상에의한계약오현정2024-05-26 18:00전자문서2024-05-26 18:00:00N2024-04-25 10:00:002024-05-27 17:00:002024-05-27 18:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438602::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438602::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438602::00::2::3https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240438602::00::8::4<NA><NA>20240438602-00_1713923036671_입찰공고문(새로운공고).hwpx20240438602-00_1713923036675_과업이행요청서(새로운공고).hwpx20240438602-00_1713923036677_제안요청서(새로운공고).hwpx20240438602-00_1713923036681_SUMMARY NOTICE.hwp<NA><NA>N<NA><NA><NA>N<NA><NA>649946000590860000경기도 회계과 입찰집행관 PC<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240438602&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N일반용역<NA>공동이행<NA>NNNNN<NA><NA><NA><NA>2024-04-24 10:49:211425347<NA>협상에 의한 낙찰제<NA>Y<NA>2024-05-27 18:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42024-04-24 10:30:22202404187801N조달청 또는 나라장터 자체 공고건취소Y경기도 입찰공고 제2024-396호2030 경기도 주거종합계획 재검토 연구 용역경기도경기도전자입찰일반(총액)협상에의한계약오현정2024-05-12 18:00전자문서2024-05-12 18:00:00N2024-04-12 10:00:002024-05-13 17:00:002024-05-13 18:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA>N<NA><NA>649946000590860000경기도 회계과 입찰집행관 PC<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240418780&bidseq=01&releaseYn=Y&taskClCd=5경기도지사N일반용역<NA>공동이행<NA>NNNNN<NA><NA><NA><NA>2024-04-24 10:30:221425347<NA>협상에 의한 낙찰제<NA>Y사업내용 변경에 따라 신규 공고 예정2024-05-13 18:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
52024-04-18 20:59:21202404315800N조달청 또는 나라장터 자체 공고건일반N경기도건설본부 공고 제2024-106호2024년 남양주 지방도 소규모 포장보수공사(단가계약)2차 폐기물처리용역경기도 경기도건설본부경기도 경기도건설본부전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)김순본팀장2024-04-24 18:00공고서참조<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=20240431580::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431580::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431580::00::C::3<NA><NA><NA>20240431580-00_1713441053470_공고문[2024년 남양주 지방도 소규모 포장보수공사(단가계약)2차 폐기물처리용역].hwpx20240431580-00_1713441053477_설계서_2024년 남양주 지방도 소규모 포장보수공사(단가계약)2차 폐기물처리용역.hwpx20240431580-00_1713441447894_공내역서_2024년 남양주 지방도 소규모 포장보수공사(단가계약)2차 폐기물처리용역.xls<NA><NA><NA>Y<NA><NA><NA>N1542378200021620000경기도건설본부 관리과 입찰집행관 PC<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240431580&bidseq=00&releaseYn=Y&taskClCd=5경기도건설본부장N일반용역<NA>공동수급불허<NA>NNNNN재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.<NA><NA>88.02024-04-18 20:59:21<NA><NA>제한최저<NA>Y<NA>2024-04-25 11:00:00023782000.02024-04-18 20:59:52-3300000000<NA>2024-04-18 20:59:52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62024-04-18 17:09:52202404310980N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 2024-5088PQ 후 가격입찰(완장천 등 16개 하천기본계획 전략환경영향평가용역)경기도청 북부청사경기도청 북부청사전자입찰지명경쟁엄중원2024-04-25 18:00전자문서2024-04-25 18:00:00N2024-04-19 10:00:002024-04-26 14:00:002024-04-26 15:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431098::00::1::1<NA><NA><NA><NA><NA>20240431098-00_1713427739232_가격입찰 공고문(완장천 등 16개 하천기본계획 전략환경영향평가용역).hwpx<NA><NA><NA><NA><NA>N2024-04-03 17:00:00없음<NA>N154303500000275909091국가종합전자조달시스템(나라장터)<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240431098&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N기술용역<NA>공동이행<NA>YNYNN<NA><NA><NA>86.7452024-04-18 17:09:521409191<NA>추정가격 5억원 미만(PQ대상)<NA><NA><NA>2024-04-26 15:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
72024-04-18 17:07:21202404310870N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 제2024-422호2024년 수리산도립공원 탐방로 정비공사 실시설계용역경기도경기도전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)김용표2024-04-24 18:00공고서참조<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=20240431087::00::1::1https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431087::00::2::2https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431087::00::2::3<NA><NA><NA>20240431087-00_1713427573562_공고문(2024년 수리산도립공원 탐방로 정비공사 실시설계 용역).hwpx20240431087-00_1713427573565_과업지시서.hwpx20240431087-00_1713427573570_공내역서(2024년 수리산도립공원 탐방로 정비공사 실시설계용역).xls<NA><NA><NA>Y<NA>없음<NA>N1541540000014000000경기도 회계과 입찰집행관 pc<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240431087&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N기술용역<NA>공동수급불허<NA>NNNNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>90.02024-04-18 17:07:21<NA><NA>제한최저<NA>Y<NA>2024-04-25 11:00:00015400000.02024-04-25 13:33:01-3300000000<NA>2024-04-25 13:33:01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
82024-04-18 17:05:35202404310810N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 2024-5087PQ 후 가격입찰(관리천 등 15개 하천기본계획 전략환경영향평가용역)경기도청 북부청사경기도청 북부청사전자입찰지명경쟁엄중원2024-04-25 18:00전자문서2024-04-25 18:00:00N2024-04-19 10:00:002024-04-26 14:00:002024-04-26 15:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431081::00::1::1<NA><NA><NA><NA><NA>20240431081-00_1713427484490_가격입찰 공고문(관리천 등 15개 하천기본계획 전략환경영향평가용역).hwpx<NA><NA><NA><NA><NA>N2024-04-03 17:00:00없음<NA>N154400800000364363636국가종합전자조달시스템(나라장터)<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240431081&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N기술용역<NA>공동이행<NA>YNYNN<NA><NA><NA>86.7452024-04-18 17:05:351409188<NA>추정가격 5억원 미만(PQ대상)<NA><NA><NA>2024-04-26 15:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92024-04-18 16:56:19202404310330N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 2024-5086PQ 후 가격입찰(통복천 등 3개 하천기본계획 재수립 및 실시설계 용역)경기도청 북부청사경기도청 북부청사전자입찰지명경쟁엄중원2024-04-25 18:00전자문서2024-04-25 18:00:00N2024-04-19 10:00:002024-04-26 14:00:002024-04-26 15:00:00https://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20240431033::00::1::1<NA><NA><NA><NA><NA>20240431033-00_1713426921684_가격입찰공고문(통복천 등 3개 하천기본계획(재수립) 및 실시설계 용역).hwpx<NA><NA><NA><NA><NA>N2024-04-03 17:00:00없음<NA>N15412732700001157518182국가종합전자조달시스템(나라장터)<NA><NA>https://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20240431033&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N기술용역<NA>공동+분담이행<NA>YNYNN<NA><NA><NA>79.9952024-04-18 16:56:191409182<NA>추정가격 10억이상(PQ대상)<NA><NA><NA>2024-04-26 15:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
입찰공고일시입찰공고번호입찰공고차수재공고여부등록유형명공고종류명국제입찰여부참조번호입찰공고명공고기관명수요기관명입찰방식명계약체결방법명집행관명입찰참가자격등록마감일시공동수급협정서접수방식공동수급협정마감일시공동수급업체지역제한여부입찰개시일시입찰마감일시개찰일시공고규격서URL1공고규격서URL2공고규격서URL3공고규격서URL4공고규격서URL5공고규격서URL6공고규격파일명1공고규격파일명2공고규격파일명3공고규격파일명4공고규격파일명5공고규격파일명6재입찰허용여부PQ신청서접수일시TP심사신청방법명내역입찰여부입찰참가제한여부총예가건수추첨예가건수배정예산금액추정가격개찰장소설명회실시일시설명회실시장소입찰공고상세URL채권자명조달청일반용역여부용역구분명물품분류제한여부공동수급구성방식명지사투찰허용여부지명경쟁여부실적경쟁여부PQ심사여부TP심사여부공고설명여부예비가격재작성방법명실적신청서접수방법명실적신청서접수일시낙찰하한율등록일시사전규격등록번호정보화사업여부낙찰방법명변경일시업종제한여부변경공고사유재입찰개찰일시[기초금액]입찰분류번호[기초금액]기초금액[기초금액]기초금액공개일시[기초금액]예비가격범위시작률[기초금액]예비가격범위종료율[기초금액]평가기준금액[기초금액]안전관리비[기초금액]퇴직공제부금비[기초금액]환경보전비[기초금액]하도급대금지급보증수수료[기초금액]국민건강보험료[기초금액]국민연금보험료[기초금액]노인장기요양보험료[기초금액]가용금액[기초금액]입력일시[구매대상물품]물품순번[구매대상물품]물품분류번호[구매대상물품]품명[구매대상물품]세부품명번호[구매대상물품]세부품명[구매대상물품]물품규격명[구매대상물품]수량[구매대상물품]단위[구매대상물품]단가[구매대상물품]납품기한일시[구매대상물품]납품일수[구매대상물품]납품장소[구매대상물품]인도조건명[구매대상물품]공고게시일시
34662019-01-04 14:05:05201901027070N조달청 또는 나라장터 자체 공고건일반N221960005002019년 의정활동 사진 촬영 용역조달청 인천지방조달청경기도 의회사무처전자입찰제한(총액)하태선2019-01-14 18:00전자문서2019-01-14 18:00:00N2019-01-11 10:00:002019-01-15 10:00:002019-01-15 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102707::00::1::2http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102707::00::2::1<NA><NA><NA><NA>20190102707-00_1546574591942_입찰공고서(0005).hwp20190102707-00_1546569239819_과업지시서 등(공개).zip<NA><NA><NA><NA>Y<NA><NA><NA><NA>15410503011094531673국가종합전자조달시스템(나라장터)<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190102707&bidseq=00&releaseYn=Y&taskClCd=5대한민국정부인천지방조달청장Y일반용역N공동이행<NA>NNNNN재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.<NA><NA><NA>2019-01-04 14:05:05667422N적격심사에의한 최저가낙찰자 결정(낙찰하한율)<NA>Y<NA>2019-01-15 11:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>182131699사진촬영처리서비스8213169901사진촬영처리서비스사진촬영처리서비스, 수요기관규격11039848402019-12-31 00:00:00<NA>공보담당관과업내역에 따름2019-01-04 14:05:05
34672019-01-04 11:01:15201901027790N조달청 또는 나라장터 자체 공고건일반Y경기도 입찰공고 제2019-5호경기도 친환경양식연구센터 건립공사 건설사업관리용역경기도경기도 경기도해양수산자원연구소전자입찰일반경쟁김효진2019-02-10 18:00전자문서2019-01-17 18:00:00N2019-02-07 10:00:002019-02-11 10:00:002019-02-11 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102779::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102779::00::2::2http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102779::00::8::3http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102779::00::C::4http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102779::00::C::5http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102779::00::C::620190102779-00_1546567150506_입찰공고문_경기도 친환경양식연구센터 건립공사 건설사업관리용역.hwp20190102779-00_1546567150512_과업설명서(친환경양식연구센터).hwp20190102779-00_1546567150514_SUMMARY NOTICE.hwp20190102779-00_1546567150517_경기도친환경양식연구센터 사업수행능력평가 작성안내서.hwp20190102779-00_1546567150522_친환경양식연구센터 사업수행능력세부평가기준.hwp20190102779-00_1546567150527_참여기술자 배치표(친환경양식연구센터).pdfY2019-01-18 17:00:00없음<NA>N1541038000000943636364경기도 회계과 입찰집행관 PC<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190102779&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N기술용역<NA>공동+분담이행<NA>NNYNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>85.4952019-01-04 11:01:15659945<NA>추정가격 10억미만 5억이상(PQ대상)<NA><NA><NA>2019-02-11 11:00:0001038000000.02019-02-07 11:20:23-3300000000<NA>2019-02-07 11:20:23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34682019-01-04 10:28:22201901026501N조달청 또는 나라장터 자체 공고건취소Y경기도 입찰공고 제2019-5호경기도 친환경양식연구센터 건립공사 건설사업관리용역경기도경기도 경기도해양수산자원연구소전자입찰제한경쟁김효진2019-02-10 18:00전자문서2019-01-17 18:00:00N2019-02-07 10:00:002019-02-11 10:00:002019-02-11 11:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y2019-01-18 17:00:00없음<NA>N1541038000000943636364경기도 회계과 입찰집행관 PC<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190102650&bidseq=01&releaseYn=Y&taskClCd=5경기도지사N기술용역<NA>공동+분담이행<NA>NNYNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>85.4952019-01-04 10:28:22659945<NA>추정가격 10억미만 5억이상(PQ대상)<NA><NA>첨부물 오타 수정2019-02-11 11:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34692019-01-04 10:06:04201901026500N조달청 또는 나라장터 자체 공고건일반Y경기도 입찰공고 제2019-5호경기도 친환경양식연구센터 건립공사 건설사업관리용역경기도경기도 경기도해양수산자원연구소전자입찰제한경쟁김효진2019-02-10 18:00전자문서2019-01-17 18:00:00N2019-02-07 10:00:002019-02-11 10:00:002019-02-11 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102650::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102650::00::2::2http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102650::00::8::5http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102650::00::C::3http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102650::00::C::4<NA>20190102650-00_1546563731355_입찰공고문_경기도 친환경양식연구센터 건립공사 건설사업관리용역.hwp20190102650-00_1546563731360_과업설명서(친환경양식연구센터).hwp20190102650-00_1546563731374_SUMMARY NOTICE.hwp20190102650-00_1546563731365_경기도친환경양식연구센터 사업수행능력평가 작성안내서.hwp20190102650-00_1546563731368_친환경양식연구센터 사업수행능력세부평가기준.hwp<NA>Y2019-01-18 17:00:00없음<NA>N1541038000000943636364경기도 회계과 입찰집행관 PC<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190102650&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N기술용역<NA>공동+분담이행<NA>NNYNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>85.4952019-01-04 10:06:04659945<NA>추정가격 10억미만 5억이상(PQ대상)<NA><NA><NA>2019-02-11 11:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34702019-01-03 15:43:33201901020150N조달청 또는 나라장터 자체 공고건일반N공고 제2019-6호복지카드 제휴 사업자 선정 공고경기도경기도직찰/우편/상시일반(총액)황선애<NA>공고서참조<NA>N<NA><NA>2019-01-24 18:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190102015::00::1::1<NA><NA><NA><NA><NA>20190102015-00_1546497712402_[공고문] 복지카드 제휴업체 선정 공모(붙임포함).hwp<NA><NA><NA><NA><NA>Y<NA><NA><NA>N154109경기도청 총무과 후생복지팀<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190102015&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N일반용역<NA>공동수급불허<NA>NNNNN재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.<NA><NA><NA>2019-01-03 15:43:33<NA><NA>공고서 참조<NA><NA><NA>2019-01-24 18:00:0000.02019-01-03 15:44:00-3300000000<NA>2019-01-03 15:44:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34712019-01-03 15:01:20201901018860N조달청 또는 나라장터 자체 공고건일반N경기도해양수산자원연구소 공고 제2019-1호경기도 친환경양식연구센터(안산) 건립공사 건설폐기물처리용역경기도 경기도해양수산자원연구소경기도 경기도해양수산자원연구소전자입찰수의(총액)소액수의한승훈2019-01-10 18:00공고서참조<NA>N2019-01-04 17:00:002019-01-11 10:00:002019-01-11 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190101886::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190101886::00::2::2http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190101886::00::2::3<NA><NA><NA>20190101886-00_1546495121602_공고문 친환경양식연구센터(안산) 건립공사 건설폐기물 처리 용역.hwp20190101886-00_1546495121608_친환경양식연구센터 건립공사 폐기물용역 과업지시서.hwp20190101886-00_1546495121613_폐기물 산출내역서(참조).xlsx<NA><NA><NA>N<NA><NA><NA>N1541348400012258181국가종합전자조달시스템(나라장터)<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190101886&bidseq=00&releaseYn=Y&taskClCd=5경기도해양수산자원연구소장N일반용역<NA>공동수급불허NNNNNN<NA><NA><NA><NA>2019-01-03 15:01:20<NA><NA>최저가낙찰제<NA>Y<NA>2019-01-11 11:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34722019-01-03 13:26:54201901014160N조달청 또는 나라장터 자체 공고건일반N경기도축산진흥센터 공고 제2019-4호2019년 경기도축산진흥센터 전기안전관리업무대행 위탁용역경기도 경기도축산진흥센터경기도 경기도축산진흥센터전자입찰수의(총액)소액수의이은진2019-01-07 18:00공고서참조<NA>N2019-01-03 14:00:002019-01-08 14:00:002019-01-08 15:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190101416::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190101416::00::2::2<NA><NA><NA><NA>20190101416-00_1546479243890_공고문(2019년 경기도축산진흥센터 전기안전관리업무대행 위탁용역).hwp20190101416-00_1546479243912_과업지시서(2019년 전기안전).hwp<NA><NA><NA><NA>N<NA><NA><NA>N1541424544012950400국가종합전자조달시스템(나라장터)<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190101416&bidseq=00&releaseYn=Y&taskClCd=5경기도축산진흥센터장N일반용역<NA>공동수급불허NNNNNN<NA><NA><NA>88.02019-01-03 13:26:54<NA><NA>제한최저<NA>Y<NA>2019-01-08 15:00:00014245440.02019-01-08 15:16:32-3300000000<NA>2019-01-08 15:16:32<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34732019-01-02 17:58:37201901004750N조달청 또는 나라장터 자체 공고건일반N18918FB00경기도 재난안전종합체험관 소규모지하안전영향평가 용역조달청 인천지방조달청경기도 소방재난본부전자입찰지역김은석2019-01-10 18:00전자문서2019-01-10 18:00:00N2019-01-09 00:00:002019-01-11 10:00:002019-01-11 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190100475::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190100475::00::2::2<NA><NA><NA><NA>20190100475-00_1546410384515_기술용역 입찰설명서_소규모지하안전영향평가(지방_비PQ)(최종).hwp20190100475-00_1546410384521_소규모지하안전영향성평가과업내용서.hwp<NA><NA><NA><NA>Y<NA><NA>NN1549350000085000000국가종합전자조달시스템(나라장터)<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190100475&bidseq=00&releaseYn=Y&taskClCd=5대한민국정부인천지방조달청장N기술용역<NA>공동이행<NA>NNNNN재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.없음<NA>87.7452019-01-02 17:58:37666803<NA>추정가격 1억미만(PQ비대상)<NA>Y<NA>2019-01-11 11:00:00091340000.02019-01-03 10:37:03-3300000000<NA>2019-01-03 10:37:03<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34742019-01-02 11:13:29201901002420N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 제2019-002호2019년 상반기 (용인,안성,양평) 국지도 및 지방도 상시보수공사 실시설계용역경기도경기도 경기도건설본부전자입찰제한경쟁이현한2019-01-09 18:00공고서참조<NA>N2019-01-03 10:00:002019-01-10 10:00:002019-01-10 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190100242::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190100242::00::2::2http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190100242::00::C::3<NA><NA><NA>20190100242-00_1546395055707_입찰공고문_2019년 상반기(용인,안성,양평) 국지도 및 지방도 상시보수공사 실시설계 용역.hwp20190100242-00_1546395055732_과업내용서(2019년 상반기 용인,안성,양평 국지도 및 지방도 상시보수공사 실시설계용역).hwp20190100242-00_1546395055756_설계내역서.xlsx<NA><NA><NA>Y<NA>없음<NA>N1545651800051380000경기도 회계과 입찰집행관 PC<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190100242&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N기술용역<NA>공동수급불허NNNNNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>87.7452019-01-02 11:13:29665631<NA>추정가격 1억미만(PQ비대상)<NA>Y<NA>2019-01-10 11:00:00056518000.02019-01-02 11:13:46-3300000000<NA>2019-01-02 11:13:46<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34752019-01-02 10:57:21201901001950N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 제2019-001호2019년 의료폐기물 위탁처리 용역경기도경기도 경기도동물위생시험소전자입찰제한(단가)이현한2019-01-09 18:00전자문서2019-01-09 18:00:00Y2019-01-03 10:00:002019-01-10 10:00:002019-01-10 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190100195::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20190100195::00::2::2<NA><NA><NA><NA>20190100195-00_1546393937129_입찰공고문_2019년 의료폐기물 위탁처리 용역.hwp20190100195-00_1546393937142_폐기물위탁처리과업지시서.hwp<NA><NA><NA><NA>Y<NA><NA><NA>N15410500000095454545경기도 회계과 입찰집행관 PC<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20190100195&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N일반용역<NA>분담이행NNNNNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>87.7452019-01-02 10:57:21666799<NA>제한최저<NA>Y<NA>2019-01-10 11:00:0007800.02019-01-02 10:57:35-3300000000<NA>2019-01-02 10:57:35<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

입찰공고일시입찰공고번호입찰공고차수재공고여부등록유형명공고종류명국제입찰여부참조번호입찰공고명공고기관명수요기관명입찰방식명계약체결방법명집행관명입찰참가자격등록마감일시공동수급협정서접수방식공동수급협정마감일시공동수급업체지역제한여부입찰개시일시입찰마감일시개찰일시공고규격서URL1공고규격서URL2공고규격서URL3공고규격서URL4공고규격서URL5공고규격서URL6공고규격파일명1공고규격파일명2공고규격파일명3공고규격파일명4공고규격파일명5공고규격파일명6재입찰허용여부PQ신청서접수일시TP심사신청방법명내역입찰여부입찰참가제한여부총예가건수추첨예가건수배정예산금액추정가격개찰장소설명회실시일시설명회실시장소입찰공고상세URL채권자명조달청일반용역여부용역구분명물품분류제한여부공동수급구성방식명지사투찰허용여부지명경쟁여부실적경쟁여부PQ심사여부TP심사여부공고설명여부예비가격재작성방법명실적신청서접수방법명실적신청서접수일시낙찰하한율등록일시사전규격등록번호정보화사업여부낙찰방법명변경일시업종제한여부변경공고사유재입찰개찰일시[기초금액]입찰분류번호[기초금액]기초금액[기초금액]기초금액공개일시[기초금액]예비가격범위시작률[기초금액]예비가격범위종료율[기초금액]평가기준금액[기초금액]안전관리비[기초금액]퇴직공제부금비[기초금액]환경보전비[기초금액]하도급대금지급보증수수료[기초금액]국민건강보험료[기초금액]국민연금보험료[기초금액]노인장기요양보험료[기초금액]가용금액[기초금액]입력일시[구매대상물품]물품순번[구매대상물품]물품분류번호[구매대상물품]품명[구매대상물품]세부품명번호[구매대상물품]세부품명[구매대상물품]물품규격명[구매대상물품]수량[구매대상물품]단위[구매대상물품]단가[구매대상물품]납품기한일시[구매대상물품]납품일수[구매대상물품]납품장소[구매대상물품]인도조건명[구매대상물품]공고게시일시# duplicates
02020-10-30 13:39:17202010335090N조달청 또는 나라장터 자체 공고건일반N특수대응단-20439더어핀(AS365N3) 헬기 마그네틱플러그 교환 등 외주정비경기도 소방재난본부경기도 소방재난본부전자입찰수의(총액)소액수의권현진2020-11-04 18:00공고서참조<NA>N2020-11-03 10:00:002020-11-05 10:00:002020-11-05 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20201033509::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20201033509::00::2::2<NA><NA><NA><NA>20201033509-00_1604032606910_견적제출 공고(더어핀 마그네틱플러그 교환 등 외주정비).hwp20201033509-00_1604032606930_외주정비 과업지시서.hwp<NA><NA><NA><NA>N<NA><NA><NA>N1542479070022537000국가종합전자조달시스템(나라장터)<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20201033509&bidseq=00&releaseYn=Y&taskClCd=5경기도소방재난본부장N일반용역<NA>공동수급불허<NA>NNNNN<NA><NA><NA>88.02020-10-30 13:39:17<NA><NA>제한최저<NA>Y<NA>2020-11-05 11:00:00024790700.02020-11-02 13:44:07-3300000000<NA>2020-11-02 13:44:07<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
12020-11-02 15:42:19202011012210N조달청 또는 나라장터 자체 공고건일반N경기도 입찰공고 제2020-913호2021년 의료폐기물 위탁처리용역경기도경기도 경기도동물위생시험소전자입찰제한(단가)이현한2020-11-09 18:00전자문서2020-11-09 18:00:00Y2020-11-03 10:00:002020-11-10 10:00:002020-11-10 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20201101221::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20201101221::00::2::2http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20201101221::00::C::3<NA><NA><NA>20201101221-00_1604299225701_입찰공고문.hwp20201101221-00_1604299225701_의료폐기물 위탁처리용역 과업지시서.hwp20201101221-00_1604299225701_단가산출내역(공고문).xls<NA><NA><NA>Y<NA><NA><NA>N1548280000082800000경기도 회계과 입찰집행관 PC<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20201101221&bidseq=00&releaseYn=Y&taskClCd=5경기도지사N일반용역<NA>분담이행NNNNNN재입찰시 예비가격을 다시 생성하여 예정가격이 산정됩니다.없음<NA>87.7452020-11-02 15:42:19922245<NA>제한최저<NA>Y<NA>2020-11-10 11:00:0007800.02020-11-02 15:42:53-3300000000<NA>2020-11-02 15:42:53<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
22020-11-02 18:34:03202011017800N조달청 또는 나라장터 자체 공고건일반N경기도건설본부 공고 제2020-201호2020년 포천, 가평 지방도 급경사지 정비사업 폐기물 운반처리용역경기도 경기도건설본부경기도 경기도건설본부전자입찰수의(총액)소액-견적입찰(2인 이상 견적 제출)전경민팀장2020-11-05 18:00공고서참조<NA>N2020-11-03 10:00:002020-11-06 10:00:002020-11-06 11:00:00http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20201101780::00::1::1http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20201101780::00::2::3http://www.g2b.go.kr:8081/ep/co/fileDownload.do?fileTask=NOTIFY&fileSeq=20201101780::00::C::2<NA><NA><NA>20201101780-00_1604309357791_공고문(안)[2020년 포천, 가평 지방도 급경사지 정비사업 폐기물 운반처리용역].hwp20201101780-00_1604309357791_01~02-폐기물시방서.hwp20201101780-00_1604309357791_02_설계내역서_2020년 포천, 가평 지방도 급경사지 정비사업 폐기물 운반처리용역(공내역서).xls<NA><NA><NA>Y<NA><NA><NA>N15454080004916363경기도건설본부 관리과 입찰집행관 PC<NA><NA>http://www.g2b.go.kr:8081/ep/invitation/publish/bidInfoDtl.do?bidno=20201101780&bidseq=00&releaseYn=Y&taskClCd=5경기도건설본부장N일반용역<NA>공동수급불허NNNNNN재입찰시 기존 예비가격을 사용하여 예정가격이 산정됩니다.<NA><NA>90.02020-11-02 18:34:03<NA><NA>제한최저<NA>Y<NA>2020-11-06 11:00:0005408000.02020-11-02 18:36:01-3300000000<NA>2020-11-02 18:36:01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2