Overview

Dataset statistics

Number of variables10
Number of observations767
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory62.3 KiB
Average record size in memory83.2 B

Variable types

Numeric3
DateTime2
Categorical2
Text3

Dataset

Description(재)장애인기업종합지원센터 판로지원시스템을 통한 낙찰실적통계보고서 추출 건* 제공정보: 업체수, 낙찰업체수, 낙찰건수, 총낙찰금액
Author(재)장애인기업종합지원센터
URLhttps://www.data.go.kr/data/15035257/fileData.do

Alerts

기초금액 is highly overall correlated with 1위투찰금액High correlation
1위투찰금액 is highly overall correlated with 기초금액High correlation
순서 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:18:36.308721
Analysis finished2023-12-12 03:18:39.115433
Duration2.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

UNIQUE 

Distinct767
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean384
Minimum1
Maximum767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T12:18:39.208583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile39.3
Q1192.5
median384
Q3575.5
95-th percentile728.7
Maximum767
Range766
Interquartile range (IQR)383

Descriptive statistics

Standard deviation221.55812
Coefficient of variation (CV)0.57697427
Kurtosis-1.2
Mean384
Median Absolute Deviation (MAD)192
Skewness0
Sum294528
Variance49088
MonotonicityStrictly increasing
2023-12-12T12:18:39.368508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
2 1
 
0.1%
507 1
 
0.1%
508 1
 
0.1%
509 1
 
0.1%
510 1
 
0.1%
511 1
 
0.1%
512 1
 
0.1%
513 1
 
0.1%
514 1
 
0.1%
Other values (757) 757
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
767 1
0.1%
766 1
0.1%
765 1
0.1%
764 1
0.1%
763 1
0.1%
762 1
0.1%
761 1
0.1%
760 1
0.1%
759 1
0.1%
758 1
0.1%

날짜
Date

Distinct183
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2023-01-02 00:00:00
Maximum2023-09-27 00:00:00
2023-12-12T12:18:39.560656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:39.746771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
시설
283 
물품
270 
용역
214 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row물품
2nd row시설
3rd row시설
4th row용역
5th row시설

Common Values

ValueCountFrequency (%)
시설 283
36.9%
물품 270
35.2%
용역 214
27.9%

Length

2023-12-12T12:18:39.886840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:18:40.014619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시설 283
36.9%
물품 270
35.2%
용역 214
27.9%

공고명
Text

Distinct761
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-12T12:18:40.271738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length37
Mean length22.985658
Min length7

Characters and Unicode

Total characters17630
Distinct characters591
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique756 ?
Unique (%)98.6%

Sample

1st row본사사옥UPS전원공급용량개선용축전지구매
2nd row포항장원초등학교구급식소리모델링및기타정보통신공사소액수의견적제출공고
3rd row성광온누리학교생태학습장및생태공원조성정보통신공사
4th row2023년고양드론앵커센터청소용역
5th row도서관및공동실험실습관노후변압기교체공사
ValueCountFrequency (%)
00부대유리문등3개소보수공사 3
 
0.4%
한국디지털미디어고등학교축산물구입 2
 
0.3%
2023년도민방위집합교육운영용역 2
 
0.3%
서초네이처힐5단지승강기메인시브및로프교체공사 2
 
0.3%
2023년우편발송용봉투구입 2
 
0.3%
2023년1차상동권역도로및도로시설물정비공사(단가계약 1
 
0.1%
본사사옥ups전원공급용량개선용축전지구매 1
 
0.1%
상천1리에덴벚꽃길데크로드설치공사실시설계용역 1
 
0.1%
2023년2월건국유치원방과후과정간식식재료구매소액수의견적공고 1
 
0.1%
2023년정읍소식21제작입찰공고 1
 
0.1%
Other values (751) 751
97.9%
2023-12-12T12:18:40.761451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 589
 
3.3%
공 565
 
3.2%
사 536
 
3.0%
) 334
 
1.9%
( 333
 
1.9%
3 315
 
1.8%
기 311
 
1.8%
0 309
 
1.8%
구 296
 
1.7%
수 295
 
1.7%
Other values (581) 13747
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14839
84.2%
Decimal Number 1515
 
8.6%
Close Punctuation 366
 
2.1%
Open Punctuation 365
 
2.1%
Uppercase Letter 265
 
1.5%
Other Punctuation 99
 
0.6%
Dash Punctuation 85
 
0.5%
Lowercase Letter 74
 
0.4%
Math Symbol 15
 
0.1%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 565
 
3.8%
사 536
 
3.6%
기 311
 
2.1%
구 296
 
2.0%
수 295
 
2.0%
설 287
 
1.9%
교 256
 
1.7%
역 243
 
1.6%
용 238
 
1.6%
년 233
 
1.6%
Other values (510) 11579
78.0%
Uppercase Letter
ValueCountFrequency (%)
S 26
 
9.8%
B 25
 
9.4%
A 23
 
8.7%
C 19
 
7.2%
L 19
 
7.2%
I 17
 
6.4%
D 17
 
6.4%
E 16
 
6.0%
V 15
 
5.7%
T 14
 
5.3%
Other values (12) 74
27.9%
Lowercase Letter
ValueCountFrequency (%)
e 13
17.6%
o 9
12.2%
l 9
12.2%
a 6
 
8.1%
r 4
 
5.4%
d 4
 
5.4%
i 4
 
5.4%
m 3
 
4.1%
y 3
 
4.1%
u 3
 
4.1%
Other values (9) 16
21.6%
Decimal Number
ValueCountFrequency (%)
2 589
38.9%
3 315
20.8%
0 309
20.4%
1 116
 
7.7%
4 69
 
4.6%
5 36
 
2.4%
6 27
 
1.8%
9 22
 
1.5%
7 20
 
1.3%
8 12
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 50
50.5%
/ 20
 
20.2%
· 18
 
18.2%
. 8
 
8.1%
# 2
 
2.0%
& 1
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 334
91.3%
] 30
 
8.2%
」 1
 
0.3%
』 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 333
91.2%
[ 30
 
8.2%
「 1
 
0.3%
『 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 12
80.0%
→ 2
 
13.3%
+ 1
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14839
84.2%
Common 2452
 
13.9%
Latin 339
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 565
 
3.8%
사 536
 
3.6%
기 311
 
2.1%
구 296
 
2.0%
수 295
 
2.0%
설 287
 
1.9%
교 256
 
1.7%
역 243
 
1.6%
용 238
 
1.6%
년 233
 
1.6%
Other values (510) 11579
78.0%
Latin
ValueCountFrequency (%)
S 26
 
7.7%
B 25
 
7.4%
A 23
 
6.8%
C 19
 
5.6%
L 19
 
5.6%
I 17
 
5.0%
D 17
 
5.0%
E 16
 
4.7%
V 15
 
4.4%
T 14
 
4.1%
Other values (31) 148
43.7%
Common
ValueCountFrequency (%)
2 589
24.0%
) 334
13.6%
( 333
13.6%
3 315
12.8%
0 309
12.6%
1 116
 
4.7%
- 85
 
3.5%
4 69
 
2.8%
, 50
 
2.0%
5 36
 
1.5%
Other values (20) 216
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14839
84.2%
ASCII 2767
 
15.7%
None 22
 
0.1%
Arrows 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 589
21.3%
) 334
12.1%
( 333
12.0%
3 315
11.4%
0 309
11.2%
1 116
 
4.2%
- 85
 
3.1%
4 69
 
2.5%
, 50
 
1.8%
5 36
 
1.3%
Other values (55) 531
19.2%
Hangul
ValueCountFrequency (%)
공 565
 
3.8%
사 536
 
3.6%
기 311
 
2.1%
구 296
 
2.0%
수 295
 
2.0%
설 287
 
1.9%
교 256
 
1.7%
역 243
 
1.6%
용 238
 
1.6%
년 233
 
1.6%
Other values (510) 11579
78.0%
None
ValueCountFrequency (%)
· 18
81.8%
「 1
 
4.5%
」 1
 
4.5%
『 1
 
4.5%
』 1
 
4.5%
Arrows
ValueCountFrequency (%)
→ 2
100.0%

업체명
Text

Distinct257
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-12T12:18:41.040502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length13
Mean length7.5032595
Min length2

Characters and Unicode

Total characters5755
Distinct characters284
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)15.3%

Sample

1st row주식회사부경
2nd row아이엔씨에스
3rd row무한기술
4th row주식회사해피크린
5th row주식회사와이이씨
ValueCountFrequency (%)
케이디산업주식회사 29
 
3.8%
주식회사용봉 19
 
2.5%
청솔육가공 17
 
2.2%
동양산전주식회사 17
 
2.2%
주식회사포앤텍 14
 
1.8%
유한회사관우환경개발 12
 
1.6%
우리종합상사 12
 
1.6%
주식회사태현이엔지 12
 
1.6%
주식회사스마트이엔씨 11
 
1.4%
동운건설 11
 
1.4%
Other values (247) 613
79.9%
2023-12-12T12:18:41.495800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 565
 
9.8%
회 479
 
8.3%
주 452
 
7.9%
식 444
 
7.7%
이 203
 
3.5%
건 109
 
1.9%
스 98
 
1.7%
산 93
 
1.6%
한 90
 
1.6%
엔 84
 
1.5%
Other values (274) 3138
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5728
99.5%
Uppercase Letter 14
 
0.2%
Other Punctuation 5
 
0.1%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 565
 
9.9%
회 479
 
8.4%
주 452
 
7.9%
식 444
 
7.8%
이 203
 
3.5%
건 109
 
1.9%
스 98
 
1.7%
산 93
 
1.6%
한 90
 
1.6%
엔 84
 
1.5%
Other values (258) 3111
54.3%
Uppercase Letter
ValueCountFrequency (%)
G 2
14.3%
E 2
14.3%
O 2
14.3%
D 2
14.3%
H 1
7.1%
S 1
7.1%
I 1
7.1%
N 1
7.1%
C 1
7.1%
L 1
7.1%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
. 1
 
20.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
50.0%
d 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5728
99.5%
Latin 16
 
0.3%
Common 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 565
 
9.9%
회 479
 
8.4%
주 452
 
7.9%
식 444
 
7.8%
이 203
 
3.5%
건 109
 
1.9%
스 98
 
1.7%
산 93
 
1.6%
한 90
 
1.6%
엔 84
 
1.5%
Other values (258) 3111
54.3%
Latin
ValueCountFrequency (%)
G 2
12.5%
E 2
12.5%
O 2
12.5%
D 2
12.5%
H 1
6.2%
S 1
6.2%
I 1
6.2%
N 1
6.2%
C 1
6.2%
L 1
6.2%
Other values (2) 2
12.5%
Common
ValueCountFrequency (%)
, 4
36.4%
) 3
27.3%
( 3
27.3%
. 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5728
99.5%
ASCII 27
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 565
 
9.9%
회 479
 
8.4%
주 452
 
7.9%
식 444
 
7.8%
이 203
 
3.5%
건 109
 
1.9%
스 98
 
1.7%
산 93
 
1.6%
한 90
 
1.6%
엔 84
 
1.5%
Other values (258) 3111
54.3%
ASCII
ValueCountFrequency (%)
, 4
14.8%
) 3
11.1%
( 3
11.1%
G 2
 
7.4%
E 2
 
7.4%
O 2
 
7.4%
D 2
 
7.4%
H 1
 
3.7%
S 1
 
3.7%
I 1
 
3.7%
Other values (6) 6
22.2%

면허
Text

Distinct204
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-12T12:18:41.828666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length265
Median length118
Mean length65.800522
Min length5

Characters and Unicode

Total characters50469
Distinct characters236
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)10.0%

Sample

1st row전기공사업
2nd row대기오염측정기기관리대행업/소프트웨어사업자(데이터베이스제작및검색서비스사업)/소프트웨어사업자(컴퓨터관련서비스사업)/소프트웨어사업자(패키지소프트웨어개발.공급사업)/수질오염측정기기관리대행업/전기공사업/정보통신공사업
3rd row건물위생관리업/기상장비업/소프트웨어사업자(데이터베이스제작및검색서비스사업)/소프트웨어사업자(디지털콘텐츠개발서비스사업)/소프트웨어사업자(컴퓨터관련서비스사업)/소프트웨어사업자(패키지소프트웨어개발.공급사업)/전기공사업/정보통신공사업
4th row건물(시설)관리용역/건물위생관리업/소독업/저수조청소업
5th row소프트웨어사업자(컴퓨터관련서비스사업)/전기공사업/정보통신공사업
ValueCountFrequency (%)
구조물해체,비계공사업/비계.구조물해체공사업/폐기물수집.운반업(건설폐기물)/폐기물종합재활용업(지정폐기물외폐기물)/폐기물중간처리업(건설폐기물 29
 
3.8%
기계가스설비공사업/기계설비공사업 20
 
2.6%
식품운반업/식품판매업(집단급식소식품판매업 19
 
2.5%
건축공사업/난방시공업제1종/승강기유지관리업(중저속승강기)/승강기제조업/승강기,삭도공사업/승강기설치공사업/승강기유지관리업(고속엘리베이터)/승강기유지관리업(에스컬레이터)/승강기유지관리업(중저속엘리베이터)/승강기유지관리업(휠체어리프트)/승강기제조업(엘리베이터일반제조)/신.재생에너지설비설치전문기업(태양에너지)/신·재생에너지설비설치전문기업(지열에너지)/신·재생에너지설비설치전문기업(풍력)/전기공사업/토목건축공사업 17
 
2.2%
식육포장처리업/식품판매업(집단급식소식품판매업)/축산물가공업(식육가공업)/축산물판매업(식육판매업 17
 
2.2%
금속구조물.창호공사업/금속창호,지붕건축물조립공사업 15
 
2.0%
유해화학물질판매업 15
 
2.0%
금속구조물.창호공사업/금속창호,지붕건축물조립공사업/산업디자인전문회사(시각디자인분야)/산업디자인전문회사(환경디자인분야)/소프트웨어사업자(데이터베이스제작및검색서비스사업)/소프트웨어사업자(컴퓨터관련서비스사업)/소프트웨어사업자(패키지소프트웨어개발.공급사업)/옥외광고사업/인쇄사신고/전기공사업/측량업(기타-공공측량업)/측량업(기타-수치지도제작업)/측량업(기타-지도제작업)/측량업(기타-지하시설물측량업 14
 
1.8%
의료기기판매업 13
 
1.7%
소프트웨어사업자(컴퓨터관련서비스사업)/전기공사업/정보통신공사업 12
 
1.6%
Other values (194) 596
77.7%
2023-12-12T12:18:42.670892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 4485
 
8.9%
/ 3321
 
6.6%
사 2932
 
5.8%
공 1785
 
3.5%
) 1530
 
3.0%
( 1530
 
3.0%
기 1517
 
3.0%
설 1166
 
2.3%
지 1041
 
2.1%
비 911
 
1.8%
Other values (226) 30251
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42579
84.4%
Other Punctuation 4508
 
8.9%
Close Punctuation 1568
 
3.1%
Open Punctuation 1568
 
3.1%
Dash Punctuation 180
 
0.4%
Decimal Number 66
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 4485
 
10.5%
사 2932
 
6.9%
공 1785
 
4.2%
기 1517
 
3.6%
설 1166
 
2.7%
지 1041
 
2.4%
비 911
 
2.1%
물 890
 
2.1%
자 783
 
1.8%
소 745
 
1.7%
Other values (210) 26324
61.8%
Other Punctuation
ValueCountFrequency (%)
/ 3321
73.7%
. 540
 
12.0%
, 523
 
11.6%
· 111
 
2.5%
: 8
 
0.2%
？ 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 34
51.5%
2 20
30.3%
3 4
 
6.1%
6 4
 
6.1%
4 4
 
6.1%
Close Punctuation
ValueCountFrequency (%)
) 1530
97.6%
] 38
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 1530
97.6%
[ 38
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42579
84.4%
Common 7890
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 4485
 
10.5%
사 2932
 
6.9%
공 1785
 
4.2%
기 1517
 
3.6%
설 1166
 
2.7%
지 1041
 
2.4%
비 911
 
2.1%
물 890
 
2.1%
자 783
 
1.8%
소 745
 
1.7%
Other values (210) 26324
61.8%
Common
ValueCountFrequency (%)
/ 3321
42.1%
) 1530
19.4%
( 1530
19.4%
. 540
 
6.8%
, 523
 
6.6%
- 180
 
2.3%
· 111
 
1.4%
[ 38
 
0.5%
] 38
 
0.5%
1 34
 
0.4%
Other values (6) 45
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42578
84.4%
ASCII 7774
 
15.4%
None 116
 
0.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 4485
 
10.5%
사 2932
 
6.9%
공 1785
 
4.2%
기 1517
 
3.6%
설 1166
 
2.7%
지 1041
 
2.4%
비 911
 
2.1%
물 890
 
2.1%
자 783
 
1.8%
소 745
 
1.7%
Other values (209) 26323
61.8%
ASCII
ValueCountFrequency (%)
/ 3321
42.7%
) 1530
19.7%
( 1530
19.7%
. 540
 
6.9%
, 523
 
6.7%
- 180
 
2.3%
[ 38
 
0.5%
] 38
 
0.5%
1 34
 
0.4%
2 20
 
0.3%
Other values (4) 20
 
0.3%
None
ValueCountFrequency (%)
· 111
95.7%
？ 5
 
4.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

지역
Categorical

Distinct44
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
경기도
86 
경기
72 
서울특별시
59 
경상남도
52 
부산광역시
47 
Other values (39)
451 

Length

Max length11
Median length10
Mean length3.7848761
Min length2

Unique

Unique9 ?
Unique (%)1.2%

Sample

1st row전라남도
2nd row경상북도
3rd row경상남도
4th row경기도
5th row강원

Common Values

ValueCountFrequency (%)
경기도 86
 
11.2%
경기 72
 
9.4%
서울특별시 59
 
7.7%
경상남도 52
 
6.8%
부산광역시 47
 
6.1%
강원도 46
 
6.0%
충청남도 39
 
5.1%
경상북도 36
 
4.7%
광주광역시 33
 
4.3%
강원 30
 
3.9%
Other values (34) 267
34.8%

Length

2023-12-12T12:18:42.848146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 86
 
11.2%
경기 72
 
9.4%
서울특별시 59
 
7.7%
경상남도 52
 
6.8%
부산광역시 47
 
6.1%
강원도 46
 
6.0%
충청남도 39
 
5.1%
경상북도 36
 
4.7%
광주광역시 33
 
4.3%
강원 30
 
3.9%
Other values (34) 267
34.8%

기초금액
Real number (ℝ)

HIGH CORRELATION 

Distinct734
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5830043 × 108
Minimum54
Maximum4.4986647 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T12:18:43.010837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile2628771.6
Q130021500
median62860000
Q31.367375 × 108
95-th percentile5.35526 × 108
Maximum4.4986647 × 109
Range4.4986646 × 109
Interquartile range (IQR)1.06716 × 108

Descriptive statistics

Standard deviation3.6802142 × 108
Coefficient of variation (CV)2.3248289
Kurtosis60.799628
Mean1.5830043 × 108
Median Absolute Deviation (MAD)40507794
Skewness6.9263421
Sum1.2141643 × 1011
Variance1.3543976 × 1017
MonotonicityNot monotonic
2023-12-12T12:18:43.172531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 8
 
1.0%
59400000 3
 
0.4%
25000000 3
 
0.4%
90000000 3
 
0.4%
19743690 3
 
0.4%
200640000 2
 
0.3%
54 2
 
0.3%
120000000 2
 
0.3%
40000000 2
 
0.3%
35913240 2
 
0.3%
Other values (724) 737
96.1%
ValueCountFrequency (%)
54 2
0.3%
77 1
0.1%
83 1
0.1%
990 1
0.1%
1500 1
0.1%
6200 1
0.1%
10000 1
0.1%
22000 1
0.1%
32010 1
0.1%
39800 1
0.1%
ValueCountFrequency (%)
4498664700 1
0.1%
4212833000 1
0.1%
2910268000 1
0.1%
2904462000 1
0.1%
2846943000 1
0.1%
2586982000 1
0.1%
2384000000 1
0.1%
1794476200 1
0.1%
1783905850 1
0.1%
1619900000 1
0.1%

1위투찰금액
Real number (ℝ)

HIGH CORRELATION 

Distinct762
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3856481 × 108
Minimum48
Maximum3.9048832 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-12T12:18:43.324945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile2276247.2
Q126690305
median55561000
Q31.2067368 × 108
95-th percentile4.6183693 × 108
Maximum3.9048832 × 109
Range3.9048832 × 109
Interquartile range (IQR)93983380

Descriptive statistics

Standard deviation3.2104992 × 108
Coefficient of variation (CV)2.3169657
Kurtosis60.228618
Mean1.3856481 × 108
Median Absolute Deviation (MAD)35665330
Skewness6.900479
Sum1.0627921 × 1011
Variance1.0307305 × 1017
MonotonicityNot monotonic
2023-12-12T12:18:43.479095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17448640 3
 
0.4%
54450000 2
 
0.3%
88360 2
 
0.3%
48 2
 
0.3%
87967100 1
 
0.1%
84212370 1
 
0.1%
3305730 1
 
0.1%
143720950 1
 
0.1%
17521480 1
 
0.1%
9324600 1
 
0.1%
Other values (752) 752
98.0%
ValueCountFrequency (%)
48 2
0.3%
65 1
0.1%
69 1
0.1%
869 1
0.1%
1260 1
0.1%
5497 1
0.1%
9036 1
0.1%
19280 1
0.1%
28120 1
0.1%
35050 1
0.1%
ValueCountFrequency (%)
3904883200 1
0.1%
3667599200 1
0.1%
2543484000 1
0.1%
2527728219 1
0.1%
2483809130 1
0.1%
2262071361 1
0.1%
2102185200 1
0.1%
1568607900 1
0.1%
1567344630 1
0.1%
1436717570 1
0.1%

개찰일
Date

Distinct183
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
Minimum2023-01-02 00:00:00
Maximum2023-09-27 00:00:00
2023-12-12T12:18:43.643333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:43.851790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T12:18:38.366130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:37.402140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:37.935082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:38.506549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:37.583953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:38.099108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:38.636346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:37.728681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:38.209071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:18:43.944895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서구분지역기초금액1위투찰금액
순서1.0000.2150.2600.0620.096
구분0.2151.0000.6610.0850.118
지역0.2600.6611.0000.0000.000
기초금액0.0620.0850.0001.0000.975
1위투찰금액0.0960.1180.0000.9751.000
2023-12-12T12:18:44.047090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지역
구분1.0000.413
지역0.4131.000
2023-12-12T12:18:44.138275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서기초금액1위투찰금액구분지역
순서1.000-0.052-0.0500.1300.090
기초금액-0.0521.0000.9990.0560.000
1위투찰금액-0.0500.9991.0000.0740.000
구분0.1300.0560.0741.0000.413
지역0.0900.0000.0000.4131.000

Missing values

2023-12-12T12:18:38.855351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:18:39.036112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

순서날짜구분공고명업체명면허지역기초금액1위투찰금액개찰일
012023-06-30물품본사사옥UPS전원공급용량개선용축전지구매주식회사부경전기공사업전라남도5775000004691271902023-06-30
122023-06-30시설포항장원초등학교구급식소리모델링및기타정보통신공사소액수의견적제출공고아이엔씨에스대기오염측정기기관리대행업/소프트웨어사업자(데이터베이스제작및검색서비스사업)/소프트웨어사업자(컴퓨터관련서비스사업)/소프트웨어사업자(패키지소프트웨어개발.공급사업)/수질오염측정기기관리대행업/전기공사업/정보통신공사업경상북도47476000414881002023-06-30
232023-06-30시설성광온누리학교생태학습장및생태공원조성정보통신공사무한기술건물위생관리업/기상장비업/소프트웨어사업자(데이터베이스제작및검색서비스사업)/소프트웨어사업자(디지털콘텐츠개발서비스사업)/소프트웨어사업자(컴퓨터관련서비스사업)/소프트웨어사업자(패키지소프트웨어개발.공급사업)/전기공사업/정보통신공사업경상남도23925000209051792023-06-30
342023-06-30용역2023년고양드론앵커센터청소용역주식회사해피크린건물(시설)관리용역/건물위생관리업/소독업/저수조청소업경기도49024000433929502023-06-30
452023-06-30시설도서관및공동실험실습관노후변압기교체공사주식회사와이이씨소프트웨어사업자(컴퓨터관련서비스사업)/전기공사업/정보통신공사업강원82731000726152702023-06-30
562023-06-29용역고속국도제400호수도권제2순환선(화도~양평)지적확정측량용역주식회사미추홀공간지적건설기술용역업(설계？사업관리-설계등용역-측량)/소프트웨어사업자(데이터베이스제작및검색서비스사업)/소프트웨어사업자(디지털콘텐츠개발서비스사업)/소프트웨어사업자(컴퓨터관련서비스사업)/소프트웨어사업자(패키지소프트웨어개발.공급사업)/초경량비행장치사용사업/측량업(기타-공공측량업)/측량업(기타-수치지도제작업)/측량업(기타-영상처리업)/측량업(기타-지하시설물측량업)/측량업(지적측량업)/측량업(측지측량업)인천3396140003396140002023-06-29
672023-06-28용역함태탄광수질정화시설등4개소슬러지운반및처리용역케이디산업주식회사구조물해체,비계공사업/비계.구조물해체공사업/폐기물수집.운반업(건설폐기물)/폐기물종합재활용업(지정폐기물외폐기물)/폐기물중간처리업(건설폐기물)경상남도2653420002153421002023-06-28
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