Overview

Dataset statistics

Number of variables21
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory178.7 B

Variable types

Numeric8
Categorical7
Text6

Dataset

Description한국남동발전의 하도급 공사 계약에 대한 자료 입니다. 계약일, 계약명, 수급인 계약내역에 대한 데이터를 포함하고 있습니다. ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-15096201?url=https%3A//www.koenergy.kr/kosep/fr/cs/so/csso01/main.do%3FmenuCd%3DFN0919&version=d7)](https://www.data.go.kr/data/15096201/fileData.do)
URLhttps://www.data.go.kr/data/15096201/fileData.do

Alerts

계약목적물 has constant value ""Constant
번호 has unique valuesUnique
하도급 - 설계서 상 해당공종 금액 has unique valuesUnique
하도급 - 산출내역서 상 해당공종 금액 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:06:00.893557
Analysis finished2023-12-12 15:06:01.243789
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T00:06:01.310901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-13T00:06:01.434417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

계약일
Categorical

Distinct12
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size524.0 B
2021-05-04
16 
2023-02-01
13 
2023-05-17
5 
2022-11-01
4 
2023-02-02
2 
Other values (7)
9 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique5 ?
Unique (%)10.2%

Sample

1st row2021-05-04
2nd row2021-05-04
3rd row2021-05-04
4th row2021-05-04
5th row2021-05-04

Common Values

ValueCountFrequency (%)
2021-05-04 16
32.7%
2023-02-01 13
26.5%
2023-05-17 5
 
10.2%
2022-11-01 4
 
8.2%
2023-02-02 2
 
4.1%
2023-02-15 2
 
4.1%
2023-03-23 2
 
4.1%
2022-03-14 1
 
2.0%
2023-01-10 1
 
2.0%
2023-01-13 1
 
2.0%
Other values (2) 2
 
4.1%

Length

2023-12-13T00:06:01.537949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-05-04 16
32.7%
2023-02-01 13
26.5%
2023-05-17 5
 
10.2%
2022-11-01 4
 
8.2%
2023-02-02 2
 
4.1%
2023-02-15 2
 
4.1%
2023-03-23 2
 
4.1%
2022-03-14 1
 
2.0%
2023-01-10 1
 
2.0%
2023-01-13 1
 
2.0%
Other values (2) 2
 
4.1%

사업소
Categorical

Distinct6
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
본사 건설처
16 
고성
16 
영흥
10 
삼천포
5 
분당
 
1

Length

Max length6
Median length2
Mean length3.4081633
Min length2

Unique

Unique2 ?
Unique (%)4.1%

Sample

1st row본사 건설처
2nd row본사 건설처
3rd row본사 건설처
4th row본사 건설처
5th row본사 건설처

Common Values

ValueCountFrequency (%)
본사 건설처 16
32.7%
고성 16
32.7%
영흥 10
20.4%
삼천포 5
 
10.2%
분당 1
 
2.0%
영동 1
 
2.0%

Length

2023-12-13T00:06:01.650259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:01.752546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본사 16
24.6%
건설처 16
24.6%
고성 16
24.6%
영흥 10
15.4%
삼천포 5
 
7.7%
분당 1
 
1.5%
영동 1
 
1.5%

계약목적물
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
공사
49 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공사 49
100.0%

Length

2023-12-13T00:06:01.846341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:01.918805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공사 49
100.0%

계약명
Categorical

Distinct17
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Memory size524.0 B
본사협력회사 작업동 신축공사
16 
2023년 #1 보일러,탈황,석탄취급설비 계획예방정비공사
13 
2023년 #3 보일러설비 간이정비공사
3 
2023년 #3 터빈설비 간이정비공사
2 
삼천포 #6 보일러 경상정비공사
2 
Other values (12)
13 

Length

Max length33
Median length32
Mean length22.612245
Min length11

Unique

Unique11 ?
Unique (%)22.4%

Sample

1st row본사협력회사 작업동 신축공사
2nd row본사협력회사 작업동 신축공사
3rd row본사협력회사 작업동 신축공사
4th row본사협력회사 작업동 신축공사
5th row본사협력회사 작업동 신축공사

Common Values

ValueCountFrequency (%)
본사협력회사 작업동 신축공사 16
32.7%
2023년 #1 보일러,탈황,석탄취급설비 계획예방정비공사 13
26.5%
2023년 #3 보일러설비 간이정비공사 3
 
6.1%
2023년 #3 터빈설비 간이정비공사 2
 
4.1%
삼천포 #6 보일러 경상정비공사 2
 
4.1%
2023년 #1 터비,발전기설비 계획예방정비공사 2
 
4.1%
2022년 #4 석탄취급설비 계획예방정비공사 1
 
2.0%
삼천포화력 3,4호기 미분탄계통 경상정비 하도급 공사 1
 
2.0%
2022년 #7 석탄취급설비 계획예방정비공사 1
 
2.0%
2022년 #6 석탄취급설비 계획예방정비공사 1
 
2.0%
Other values (7) 7
14.3%

Length

2023-12-13T00:06:01.994718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023년 21
11.4%
계획예방정비공사 21
11.4%
본사협력회사 16
 
8.7%
신축공사 16
 
8.7%
작업동 16
 
8.7%
1 15
 
8.2%
보일러,탈황,석탄취급설비 13
 
7.1%
3 5
 
2.7%
간이정비공사 5
 
2.7%
석탄취급설비 4
 
2.2%
Other values (28) 52
28.3%

수급인 - 상호
Categorical

Distinct12
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size524.0 B
원호종합건설 외 2개사
16 
수산인더스트리
13 
㈜수산인더스트리
4 
한전KPS
3 
(주)금화PSC
3 
Other values (7)
10 

Length

Max length12
Median length11
Mean length9
Min length5

Unique

Unique4 ?
Unique (%)8.2%

Sample

1st row원호종합건설 외 2개사
2nd row원호종합건설 외 2개사
3rd row원호종합건설 외 2개사
4th row원호종합건설 외 2개사
5th row원호종합건설 외 2개사

Common Values

ValueCountFrequency (%)
원호종합건설 외 2개사 16
32.7%
수산인더스트리 13
26.5%
㈜수산인더스트리 4
 
8.2%
한전KPS 3
 
6.1%
(주)금화PSC 3
 
6.1%
한국발전기술 주식회사 2
 
4.1%
한국발전기술㈜ 2
 
4.1%
(주)한전KPS 2
 
4.1%
한전케이피에스 주식회사 1
 
2.0%
옵티멀에너지서비스㈜ 1
 
2.0%
Other values (2) 2
 
4.1%

Length

2023-12-13T00:06:02.319134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원호종합건설 16
19.0%
외 16
19.0%
2개사 16
19.0%
수산인더스트리 13
15.5%
㈜수산인더스트리 4
 
4.8%
한전kps 3
 
3.6%
주)금화psc 3
 
3.6%
주식회사 3
 
3.6%
한국발전기술 2
 
2.4%
한국발전기술㈜ 2
 
2.4%
Other values (5) 6
 
7.1%

수급인 - 대표자
Categorical

Distinct7
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
한봉섭
17 
정치훈
16 
김홍연
6 
박영진
4 
김경태
4 
Other values (2)
2 

Length

Max length4
Median length3
Mean length3.0204082
Min length3

Unique

Unique2 ?
Unique (%)4.1%

Sample

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

Common Values

ValueCountFrequency (%)
한봉섭 17
34.7%
정치훈 16
32.7%
김홍연 6
 
12.2%
박영진 4
 
8.2%
김경태 4
 
8.2%
이형주 1
 
2.0%
충첸회이 1
 
2.0%

Length

2023-12-13T00:06:02.413862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:06:02.498910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한봉섭 17
34.7%
정치훈 16
32.7%
김홍연 6
 
12.2%
박영진 4
 
8.2%
김경태 4
 
8.2%
이형주 1
 
2.0%
충첸회이 1
 
2.0%

수급인 - 사업자번호
Text

Distinct28
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T00:06:02.640445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.040816
Min length12

Characters and Unicode

Total characters590
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)46.9%

Sample

1st row411-81-48431
2nd row411-81-48432
3rd row411-81-48433
4th row411-81-48434
5th row411-81-48435
ValueCountFrequency (%)
312-81-02856 14
28.6%
120-81-06796 4
 
8.2%
120-87-64366 4
 
8.2%
121-85-22496 2
 
4.1%
612-85-01828 2
 
4.1%
411-81-48431 1
 
2.0%
411-81-48432 1
 
2.0%
312-81-02859 1
 
2.0%
312-81-02858 1
 
2.0%
312-81-02857 1
 
2.0%
Other values (18) 18
36.7%
2023-12-13T00:06:02.906563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 113
19.2%
- 98
16.6%
8 89
15.1%
4 64
10.8%
2 60
10.2%
6 42
 
7.1%
0 38
 
6.4%
3 35
 
5.9%
5 27
 
4.6%
9 12
 
2.0%
Other values (2) 12
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
83.1%
Dash Punctuation 98
 
16.6%
Space Separator 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 113
23.1%
8 89
18.2%
4 64
13.1%
2 60
12.2%
6 42
 
8.6%
0 38
 
7.8%
3 35
 
7.1%
5 27
 
5.5%
9 12
 
2.4%
7 10
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 590
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 113
19.2%
- 98
16.6%
8 89
15.1%
4 64
10.8%
2 60
10.2%
6 42
 
7.1%
0 38
 
6.4%
3 35
 
5.9%
5 27
 
4.6%
9 12
 
2.0%
Other values (2) 12
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 590
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 113
19.2%
- 98
16.6%
8 89
15.1%
4 64
10.8%
2 60
10.2%
6 42
 
7.1%
0 38
 
6.4%
3 35
 
5.9%
5 27
 
4.6%
9 12
 
2.0%
Other values (2) 12
 
2.0%

수급인 - 영업소 소재지
Categorical

Distinct12
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Memory size524.0 B
전남 신안군 압해읍 압해로881
16 
충청남도 천안시 서북구 천일고3길 47
13 
충남 천안시 서북구
4 
서울특별시 강남구
4 
서울특별시
3 
Other values (7)
9 

Length

Max length27
Median length26
Mean length15.612245
Min length5

Unique

Unique5 ?
Unique (%)10.2%

Sample

1st row전남 신안군 압해읍 압해로881
2nd row전남 신안군 압해읍 압해로881
3rd row전남 신안군 압해읍 압해로881
4th row전남 신안군 압해읍 압해로881
5th row전남 신안군 압해읍 압해로881

Common Values

ValueCountFrequency (%)
전남 신안군 압해읍 압해로881 16
32.7%
충청남도 천안시 서북구 천일고3길 47 13
26.5%
충남 천안시 서북구 4
 
8.2%
서울특별시 강남구 4
 
8.2%
서울특별시 3
 
6.1%
전라남도나주시 문화로 211 2
 
4.1%
경상남도 고성군 2
 
4.1%
경기도 성남시 1
 
2.0%
전라남도 나주시 문화로 211 1
 
2.0%
경기도 용인시 1
 
2.0%
Other values (2) 2
 
4.1%

Length

2023-12-13T00:06:03.015322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
천안시 17
9.4%
서북구 17
9.4%
전남 16
8.8%
압해읍 16
8.8%
압해로881 16
8.8%
신안군 16
8.8%
충청남도 13
 
7.2%
천일고3길 13
 
7.2%
47 13
 
7.2%
서울특별시 7
 
3.9%
Other values (19) 37
20.4%

수급인 - 도급금액(원)
Real number (ℝ)

Distinct28
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1150624 × 109
Minimum86363636
Maximum1.3787917 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T00:06:03.103126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86363636
5-th percentile2.52175 × 108
Q15.1172727 × 109
median5.206218 × 109
Q31.3787917 × 1010
95-th percentile1.3787917 × 1010
Maximum1.3787917 × 1010
Range1.3701553 × 1010
Interquartile range (IQR)8.6706439 × 109

Descriptive statistics

Standard deviation5.1016428 × 109
Coefficient of variation (CV)0.7170201
Kurtosis-1.4545436
Mean7.1150624 × 109
Median Absolute Deviation (MAD)3.736198 × 109
Skewness0.30179906
Sum3.4863806 × 1011
Variance2.6026759 × 1019
MonotonicityNot monotonic
2023-12-13T00:06:03.207210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5206218000 13
26.5%
5178400000 4
 
8.2%
994700000 3
 
6.1%
252175000 2
 
4.1%
1470020000 2
 
4.1%
1913143400 2
 
4.1%
5117272727 2
 
4.1%
13787916670 1
 
2.0%
13787916685 1
 
2.0%
10822455000 1
 
2.0%
Other values (18) 18
36.7%
ValueCountFrequency (%)
86363636 1
 
2.0%
168760000 1
 
2.0%
252175000 2
 
4.1%
994700000 3
 
6.1%
1470020000 2
 
4.1%
1616332229 1
 
2.0%
1913143400 2
 
4.1%
5117272727 2
 
4.1%
5178400000 4
 
8.2%
5206218000 13
26.5%
ValueCountFrequency (%)
13787916685 1
2.0%
13787916684 1
2.0%
13787916683 1
2.0%
13787916682 1
2.0%
13787916681 1
2.0%
13787916680 1
2.0%
13787916679 1
2.0%
13787916678 1
2.0%
13787916677 1
2.0%
13787916676 1
2.0%

수급인 - 예가대비 낙찰율(퍼센트)
Real number (ℝ)

Distinct12
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.32449
Minimum77.83
Maximum99.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T00:06:03.300746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum77.83
5-th percentile78.14
Q182.25
median87
Q399.9
95-th percentile99.9
Maximum99.97
Range22.14
Interquartile range (IQR)17.65

Descriptive statistics

Standard deviation8.5523876
Coefficient of variation (CV)0.09574516
Kurtosis-1.7154414
Mean89.32449
Median Absolute Deviation (MAD)4.75
Skewness0.25464165
Sum4376.9
Variance73.143334
MonotonicityNot monotonic
2023-12-13T00:06:03.384320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
82.25 16
32.7%
99.9 15
30.6%
78.14 4
 
8.2%
97.42 3
 
6.1%
83.59 2
 
4.1%
87.0 2
 
4.1%
87.42 2
 
4.1%
88.14 1
 
2.0%
77.83 1
 
2.0%
88.15 1
 
2.0%
Other values (2) 2
 
4.1%
ValueCountFrequency (%)
77.83 1
 
2.0%
78.14 4
 
8.2%
82.25 16
32.7%
83.59 2
 
4.1%
87.0 2
 
4.1%
87.42 2
 
4.1%
87.47 1
 
2.0%
88.14 1
 
2.0%
88.15 1
 
2.0%
97.42 3
 
6.1%
ValueCountFrequency (%)
99.97 1
 
2.0%
99.9 15
30.6%
97.42 3
 
6.1%
88.15 1
 
2.0%
88.14 1
 
2.0%
87.47 1
 
2.0%
87.42 2
 
4.1%
87.0 2
 
4.1%
83.59 2
 
4.1%
82.25 16
32.7%

하수급 - 상호
Text

Distinct45
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T00:06:03.547061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.8571429
Min length2

Characters and Unicode

Total characters287
Distinct characters102
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)85.7%

Sample

1st row주식회사 대동엠에스
2nd row㈜삼영개발
3rd row㈜에너지컨설팅
4th row삼우기초개발주식회사
5th row㈜부경이엔지
ValueCountFrequency (%)
주식회사 5
 
9.1%
용신건설 3
 
5.5%
에스플랜트 2
 
3.6%
합동전기주식회사 2
 
3.6%
위드비웰 2
 
3.6%
화명건설 2
 
3.6%
㈜케이티엠 2
 
3.6%
한국중전기㈜ 1
 
1.8%
제이피코㈜ 1
 
1.8%
비앤티기술 1
 
1.8%
Other values (34) 34
61.8%
2023-12-13T00:06:03.833445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 23
 
8.0%
기 9
 
3.1%
주 9
 
3.1%
사 8
 
2.8%
회 8
 
2.8%
식 8
 
2.8%
설 8
 
2.8%
건 8
 
2.8%
전 7
 
2.4%
엔 7
 
2.4%
Other values (92) 192
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
89.2%
Other Symbol 23
 
8.0%
Space Separator 6
 
2.1%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 9
 
3.5%
주 9
 
3.5%
사 8
 
3.1%
회 8
 
3.1%
식 8
 
3.1%
설 8
 
3.1%
건 8
 
3.1%
전 7
 
2.7%
엔 7
 
2.7%
스 7
 
2.7%
Other values (88) 177
69.1%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
97.2%
Common 8
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 23
 
8.2%
기 9
 
3.2%
주 9
 
3.2%
사 8
 
2.9%
회 8
 
2.9%
식 8
 
2.9%
설 8
 
2.9%
건 8
 
2.9%
전 7
 
2.5%
엔 7
 
2.5%
Other values (89) 184
65.9%
Common
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
89.2%
None 23
 
8.0%
ASCII 8
 
2.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 23
100.0%
Hangul
ValueCountFrequency (%)
기 9
 
3.5%
주 9
 
3.5%
사 8
 
3.1%
회 8
 
3.1%
식 8
 
3.1%
설 8
 
3.1%
건 8
 
3.1%
전 7
 
2.7%
엔 7
 
2.7%
스 7
 
2.7%
Other values (88) 177
69.1%
ASCII
ValueCountFrequency (%)
6
75.0%
( 1
 
12.5%
) 1
 
12.5%

하수급 - 대표자
Text

Distinct41
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T00:06:04.007562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.5918367
Min length2

Characters and Unicode

Total characters176
Distinct characters70
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)73.5%

Sample

1st row박영희
2nd row채만기
3rd row김태오,이범근
4th row곽권우,정영철
5th row강해수
ValueCountFrequency (%)
박외도 4
 
6.8%
강정환 3
 
5.1%
김민기 2
 
3.4%
박명생 2
 
3.4%
이태호 2
 
3.4%
현 1
 
1.7%
임병일 1
 
1.7%
이학선 1
 
1.7%
박영희 1
 
1.7%
안동욱 1
 
1.7%
Other values (41) 41
69.5%
2023-12-13T00:06:04.363931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
8.0%
박 13
 
7.4%
이 10
 
5.7%
정 9
 
5.1%
김 8
 
4.5%
기 5
 
2.8%
환 5
 
2.8%
강 4
 
2.3%
도 4
 
2.3%
태 4
 
2.3%
Other values (60) 100
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158
89.8%
Space Separator 14
 
8.0%
Other Punctuation 4
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 13
 
8.2%
이 10
 
6.3%
정 9
 
5.7%
김 8
 
5.1%
기 5
 
3.2%
환 5
 
3.2%
강 4
 
2.5%
도 4
 
2.5%
태 4
 
2.5%
외 4
 
2.5%
Other values (58) 92
58.2%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158
89.8%
Common 18
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 13
 
8.2%
이 10
 
6.3%
정 9
 
5.7%
김 8
 
5.1%
기 5
 
3.2%
환 5
 
3.2%
강 4
 
2.5%
도 4
 
2.5%
태 4
 
2.5%
외 4
 
2.5%
Other values (58) 92
58.2%
Common
ValueCountFrequency (%)
14
77.8%
, 4
 
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158
89.8%
ASCII 18
 
10.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
77.8%
, 4
 
22.2%
Hangul
ValueCountFrequency (%)
박 13
 
8.2%
이 10
 
6.3%
정 9
 
5.7%
김 8
 
5.1%
기 5
 
3.2%
환 5
 
3.2%
강 4
 
2.5%
도 4
 
2.5%
태 4
 
2.5%
외 4
 
2.5%
Other values (58) 92
58.2%

하수급 - 사업자번호
Text

Distinct41
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T00:06:04.590164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters588
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)71.4%

Sample

1st row220-81-42807
2nd row409-81-46099
3rd row131-86-43855
4th row613-81-44496
5th row624-88-00779
ValueCountFrequency (%)
613-81-29684 3
 
6.1%
612-81-03885 3
 
6.1%
313-81-16557 2
 
4.1%
399-87-01292 2
 
4.1%
619-81-05472 2
 
4.1%
614-88-00622 2
 
4.1%
416-81-91817 1
 
2.0%
417-81-46936 1
 
2.0%
608-81-20532 1
 
2.0%
134-81-48854 1
 
2.0%
Other values (31) 31
63.3%
2023-12-13T00:06:04.977008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 98
16.7%
1 91
15.5%
8 81
13.8%
6 50
8.5%
0 48
8.2%
2 43
7.3%
4 43
7.3%
3 42
7.1%
9 38
 
6.5%
5 28
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
83.3%
Dash Punctuation 98
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 91
18.6%
8 81
16.5%
6 50
10.2%
0 48
9.8%
2 43
8.8%
4 43
8.8%
3 42
8.6%
9 38
7.8%
5 28
 
5.7%
7 26
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 588
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 98
16.7%
1 91
15.5%
8 81
13.8%
6 50
8.5%
0 48
8.2%
2 43
7.3%
4 43
7.3%
3 42
7.1%
9 38
 
6.5%
5 28
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 588
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 98
16.7%
1 91
15.5%
8 81
13.8%
6 50
8.5%
0 48
8.2%
2 43
7.3%
4 43
7.3%
3 42
7.1%
9 38
 
6.5%
5 28
 
4.8%

하수급 - 영업소 소재지
Text

Distinct44
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T00:06:05.327053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length20.326531
Min length8

Characters and Unicode

Total characters996
Distinct characters144
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)81.6%

Sample

1st row경기도 안성시 대덕면 만세로 167-1
2nd row전라남도 담양군 수북면 대흥길 41
3rd row인천광역시 남동구 서창남순환로62(서창동)
4th row경상남도 진주시 사봉면 부계길57
5th row경기도 하남시 덕풍동로 111-33, 547호 (덕풍동, 하남푸르지오)
ValueCountFrequency (%)
경상남도 17
 
8.0%
충청남도 7
 
3.3%
전라남도 6
 
2.8%
사천시 6
 
2.8%
서울 5
 
2.3%
경기도 5
 
2.3%
진주시 5
 
2.3%
보령시 4
 
1.9%
창원시 3
 
1.4%
남일로 3
 
1.4%
Other values (129) 152
71.4%
2023-12-13T00:06:05.880218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
16.5%
1 54
 
5.4%
시 43
 
4.3%
남 40
 
4.0%
도 39
 
3.9%
로 34
 
3.4%
경 27
 
2.7%
2 22
 
2.2%
3 20
 
2.0%
상 19
 
1.9%
Other values (134) 534
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 610
61.2%
Decimal Number 176
 
17.7%
Space Separator 164
 
16.5%
Other Punctuation 12
 
1.2%
Dash Punctuation 11
 
1.1%
Close Punctuation 10
 
1.0%
Open Punctuation 10
 
1.0%
Uppercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 43
 
7.0%
남 40
 
6.6%
도 39
 
6.4%
로 34
 
5.6%
경 27
 
4.4%
상 19
 
3.1%
동 18
 
3.0%
천 16
 
2.6%
길 16
 
2.6%
면 13
 
2.1%
Other values (116) 345
56.6%
Decimal Number
ValueCountFrequency (%)
1 54
30.7%
2 22
12.5%
3 20
 
11.4%
0 17
 
9.7%
7 13
 
7.4%
4 12
 
6.8%
5 11
 
6.2%
6 10
 
5.7%
8 9
 
5.1%
9 8
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
164
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 610
61.2%
Common 384
38.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 43
 
7.0%
남 40
 
6.6%
도 39
 
6.4%
로 34
 
5.6%
경 27
 
4.4%
상 19
 
3.1%
동 18
 
3.0%
천 16
 
2.6%
길 16
 
2.6%
면 13
 
2.1%
Other values (116) 345
56.6%
Common
ValueCountFrequency (%)
164
42.7%
1 54
 
14.1%
2 22
 
5.7%
3 20
 
5.2%
0 17
 
4.4%
7 13
 
3.4%
, 12
 
3.1%
4 12
 
3.1%
- 11
 
2.9%
5 11
 
2.9%
Other values (6) 48
 
12.5%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 610
61.2%
ASCII 386
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
42.5%
1 54
 
14.0%
2 22
 
5.7%
3 20
 
5.2%
0 17
 
4.4%
7 13
 
3.4%
, 12
 
3.1%
4 12
 
3.1%
- 11
 
2.8%
5 11
 
2.8%
Other values (8) 50
 
13.0%
Hangul
ValueCountFrequency (%)
시 43
 
7.0%
남 40
 
6.6%
도 39
 
6.4%
로 34
 
5.6%
경 27
 
4.4%
상 19
 
3.1%
동 18
 
3.0%
천 16
 
2.6%
길 16
 
2.6%
면 13
 
2.1%
Other values (116) 345
56.6%

하도급 공종
Text

Distinct32
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-13T00:06:06.169621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length14
Mean length8.5714286
Min length3

Characters and Unicode

Total characters420
Distinct characters88
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)49.0%

Sample

1st row태양광 철거공사(스페이스후레임)
2nd row가설사무소 설치공사
3rd row지열설비공사
4th row항타 및 흙막이가시설 공사
5th row기계설비공사
ValueCountFrequency (%)
기계설비공사업 10
 
12.7%
전기공사업 6
 
7.6%
外 4
 
5.1%
기계설비 4
 
5.1%
및 3
 
3.8%
기계설비공사 3
 
3.8%
기계/전기 2
 
2.5%
전기공사 2
 
2.5%
비계구조해체공사업 2
 
2.5%
공사 2
 
2.5%
Other values (40) 41
51.9%
2023-12-13T00:06:06.574937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 45
 
10.7%
공 43
 
10.2%
기 33
 
7.9%
30
 
7.1%
비 27
 
6.4%
설 26
 
6.2%
계 25
 
6.0%
업 24
 
5.7%
전 11
 
2.6%
조 9
 
2.1%
Other values (78) 147
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
90.2%
Space Separator 30
 
7.1%
Other Punctuation 9
 
2.1%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 45
 
11.9%
공 43
 
11.3%
기 33
 
8.7%
비 27
 
7.1%
설 26
 
6.9%
계 25
 
6.6%
업 24
 
6.3%
전 11
 
2.9%
조 9
 
2.4%
물 6
 
1.6%
Other values (73) 130
34.3%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
/ 2
 
22.2%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 375
89.3%
Common 41
 
9.8%
Han 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 45
 
12.0%
공 43
 
11.5%
기 33
 
8.8%
비 27
 
7.2%
설 26
 
6.9%
계 25
 
6.7%
업 24
 
6.4%
전 11
 
2.9%
조 9
 
2.4%
물 6
 
1.6%
Other values (72) 126
33.6%
Common
ValueCountFrequency (%)
30
73.2%
, 7
 
17.1%
/ 2
 
4.9%
) 1
 
2.4%
( 1
 
2.4%
Han
ValueCountFrequency (%)
外 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 375
89.3%
ASCII 41
 
9.8%
CJK 4
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 45
 
12.0%
공 43
 
11.5%
기 33
 
8.8%
비 27
 
7.2%
설 26
 
6.9%
계 25
 
6.7%
업 24
 
6.4%
전 11
 
2.9%
조 9
 
2.4%
물 6
 
1.6%
Other values (72) 126
33.6%
ASCII
ValueCountFrequency (%)
30
73.2%
, 7
 
17.1%
/ 2
 
4.9%
) 1
 
2.4%
( 1
 
2.4%
CJK
ValueCountFrequency (%)
外 4
100.0%

하도급 - 설계서 상 해당공종 금액
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0017679 × 108
Minimum4648281
Maximum3.626685 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T00:06:06.742281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4648281
5-th percentile41407407
Q184559128
median2.2741524 × 108
Q34.3017314 × 108
95-th percentile2.1641266 × 109
Maximum3.626685 × 109
Range3.6220367 × 109
Interquartile range (IQR)3.4561401 × 108

Descriptive statistics

Standard deviation7.5952797 × 108
Coefficient of variation (CV)1.518519
Kurtosis6.9970056
Mean5.0017679 × 108
Median Absolute Deviation (MAD)1.6307056 × 108
Skewness2.5901937
Sum2.4508663 × 1010
Variance5.7688274 × 1017
MonotonicityNot monotonic
2023-12-13T00:06:06.968230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
84559128 1
 
2.0%
262113668 1
 
2.0%
227415244 1
 
2.0%
131403111 1
 
2.0%
101605095 1
 
2.0%
60707852 1
 
2.0%
112716932 1
 
2.0%
237702220 1
 
2.0%
130812948 1
 
2.0%
1276580782 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
4648281 1
2.0%
29945282 1
2.0%
38121474 1
2.0%
46336307 1
2.0%
49590595 1
2.0%
52282557 1
2.0%
60707852 1
2.0%
60864789 1
2.0%
62465167 1
2.0%
64150846 1
2.0%
ValueCountFrequency (%)
3626685022 1
2.0%
2858547957 1
2.0%
2341205421 1
2.0%
1898508294 1
2.0%
1342583133 1
2.0%
1276580782 1
2.0%
1109237823 1
2.0%
1006435188 1
2.0%
892508805 1
2.0%
779626747 1
2.0%

하도급 - 산출내역서 상 해당공종 금액
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8787689 × 108
Minimum4014407
Maximum2.4255062 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T00:06:07.133290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4014407
5-th percentile33687670
Q165090300
median1.7697369 × 108
Q33.805031 × 108
95-th percentile1.7013674 × 109
Maximum2.4255062 × 109
Range2.4214918 × 109
Interquartile range (IQR)3.154128 × 108

Descriptive statistics

Standard deviation5.7250667 × 108
Coefficient of variation (CV)1.476001
Kurtosis5.8761067
Mean3.8787689 × 108
Median Absolute Deviation (MAD)1.2801275 × 108
Skewness2.452519
Sum1.9005968 × 1010
Variance3.2776389 × 1017
MonotonicityNot monotonic
2023-12-13T00:06:07.280157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
54833400 1
 
2.0%
231664311 1
 
2.0%
176973688 1
 
2.0%
102257397 1
 
2.0%
79068698 1
 
2.0%
47242615 1
 
2.0%
90612013 1
 
2.0%
198882983 1
 
2.0%
109424894 1
 
2.0%
1024482217 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
4014407 1
2.0%
29945282 1
2.0%
33603698 1
2.0%
33813629 1
2.0%
37894105 1
2.0%
44565462 1
2.0%
47242615 1
2.0%
47497622 1
2.0%
48009519 1
2.0%
48960938 1
2.0%
ValueCountFrequency (%)
2425506171 1
2.0%
2412343527 1
2.0%
1933372385 1
2.0%
1353359991 1
2.0%
1024482217 1
2.0%
960910092 1
2.0%
922210647 1
2.0%
783207174 1
2.0%
742024032 1
2.0%
564705765 1
2.0%

하도급 계약금액
Real number (ℝ)

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3648414 × 108
Minimum3300000
Maximum2.268 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T00:06:07.475854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3300000
5-th percentile28713656
Q154358000
median1.45545 × 108
Q33.9341 × 108
95-th percentile1.3953343 × 109
Maximum2.268 × 109
Range2.2647 × 109
Interquartile range (IQR)3.39052 × 108

Descriptive statistics

Standard deviation4.9705682 × 108
Coefficient of variation (CV)1.4772073
Kurtosis6.6327795
Mean3.3648414 × 108
Median Absolute Deviation (MAD)99023000
Skewness2.544363
Sum1.6487723 × 1010
Variance2.4706548 × 1017
MonotonicityNot monotonic
2023-12-13T00:06:07.642319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
53000000 2
 
4.1%
93782000 1
 
2.0%
84097000 1
 
2.0%
65026000 1
 
2.0%
38852000 1
 
2.0%
74301000 1
 
2.0%
173066000 1
 
2.0%
89816000 1
 
2.0%
868150000 1
 
2.0%
313550852 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
3300000 1
2.0%
25288000 1
2.0%
28118760 1
2.0%
29606000 1
2.0%
38852000 1
2.0%
40148000 1
2.0%
41280000 1
2.0%
46522000 1
2.0%
47040000 1
2.0%
53000000 2
4.1%
ValueCountFrequency (%)
2268000000 1
2.0%
2036250000 1
2.0%
1585383800 1
2.0%
1110260000 1
2.0%
868150000 1
2.0%
833000000 1
2.0%
788900000 1
2.0%
644116000 1
2.0%
608880000 1
2.0%
557290000 1
2.0%

하도급률 - 설계금액 기준
Real number (ℝ)

Distinct22
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70367347
Minimum0.58
Maximum1.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T00:06:07.791013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.58
5-th percentile0.6
Q10.64
median0.66
Q30.73
95-th percentile0.952
Maximum1.07
Range0.49
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.10729037
Coefficient of variation (CV)0.15247182
Kurtosis3.680223
Mean0.70367347
Median Absolute Deviation (MAD)0.03
Skewness1.9145928
Sum34.48
Variance0.011511224
MonotonicityNot monotonic
2023-12-13T00:06:07.922858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.64 16
32.7%
0.68 3
 
6.1%
0.73 3
 
6.1%
0.71 3
 
6.1%
0.66 3
 
6.1%
0.63 2
 
4.1%
0.6 2
 
4.1%
0.78 2
 
4.1%
0.69 2
 
4.1%
0.85 1
 
2.0%
Other values (12) 12
24.5%
ValueCountFrequency (%)
0.58 1
 
2.0%
0.59 1
 
2.0%
0.6 2
 
4.1%
0.63 2
 
4.1%
0.64 16
32.7%
0.66 3
 
6.1%
0.67 1
 
2.0%
0.68 3
 
6.1%
0.69 2
 
4.1%
0.71 3
 
6.1%
ValueCountFrequency (%)
1.07 1
2.0%
1.02 1
2.0%
1.0 1
2.0%
0.88 1
2.0%
0.85 1
2.0%
0.84 1
2.0%
0.79 1
2.0%
0.78 2
4.1%
0.75 1
2.0%
0.74 1
2.0%

하도급률 - 산출내역서 기준
Real number (ℝ)

Distinct16
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88061224
Minimum0.82
Maximum1.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-13T00:06:08.097083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.82
5-th percentile0.82
Q10.82
median0.82
Q30.88
95-th percentile1.086
Maximum1.4
Range0.58
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.11978119
Coefficient of variation (CV)0.13602036
Kurtosis8.9330794
Mean0.88061224
Median Absolute Deviation (MAD)0
Skewness2.8609741
Sum43.15
Variance0.014347534
MonotonicityNot monotonic
2023-12-13T00:06:08.218870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.82 26
53.1%
0.84 5
 
10.2%
0.97 2
 
4.1%
0.9 2
 
4.1%
0.88 2
 
4.1%
0.83 2
 
4.1%
1.11 1
 
2.0%
0.85 1
 
2.0%
0.87 1
 
2.0%
0.93 1
 
2.0%
Other values (6) 6
 
12.2%
ValueCountFrequency (%)
0.82 26
53.1%
0.83 2
 
4.1%
0.84 5
 
10.2%
0.85 1
 
2.0%
0.87 1
 
2.0%
0.88 2
 
4.1%
0.9 2
 
4.1%
0.93 1
 
2.0%
0.94 1
 
2.0%
0.97 2
 
4.1%
ValueCountFrequency (%)
1.4 1
2.0%
1.29 1
2.0%
1.11 1
2.0%
1.05 1
2.0%
1.04 1
2.0%
0.99 1
2.0%
0.97 2
4.1%
0.94 1
2.0%
0.93 1
2.0%
0.9 2
4.1%

Sample

번호계약일사업소계약목적물계약명수급인 - 상호수급인 - 대표자수급인 - 사업자번호수급인 - 영업소 소재지수급인 - 도급금액(원)수급인 - 예가대비 낙찰율(퍼센트)하수급 - 상호하수급 - 대표자하수급 - 사업자번호하수급 - 영업소 소재지하도급 공종하도급 - 설계서 상 해당공종 금액하도급 - 산출내역서 상 해당공종 금액하도급 계약금액하도급률 - 설계금액 기준하도급률 - 산출내역서 기준
012021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48431전남 신안군 압해읍 압해로8811378791667082.25주식회사 대동엠에스박영희220-81-42807경기도 안성시 대덕면 만세로 167-1태양광 철거공사(스페이스후레임)8455912854833400530000000.630.97
122021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48432전남 신안군 압해읍 압해로8811378791667182.25㈜삼영개발채만기409-81-46099전라남도 담양군 수북면 대흥길 41가설사무소 설치공사4959059537894105530000001.071.4
232021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48433전남 신안군 압해읍 압해로8811378791667282.25㈜에너지컨설팅김태오,이범근131-86-43855인천광역시 남동구 서창남순환로62(서창동)지열설비공사8925088057420240326088800000.680.82
342021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48434전남 신안군 압해읍 압해로8811378791667382.25삼우기초개발주식회사곽권우,정영철613-81-44496경상남도 진주시 사봉면 부계길57항타 및 흙막이가시설 공사13425831339609100927889000000.590.82
452021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48435전남 신안군 압해읍 압해로8811378791667482.25㈜부경이엔지강해수624-88-00779경기도 하남시 덕풍동로 111-33, 547호 (덕풍동, 하남푸르지오)기계설비공사11092378239222106478330000000.750.9
562021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48436전남 신안군 압해읍 압해로8811378791667582.25㈜두성건설유등409-81-87329경상남도 창원시 의창구 용동로83번안길 7(사림동, 미래드림)철근콘크리트공사3626685022241234352722680000000.630.94
672021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48437전남 신안군 압해읍 압해로8811378791667682.25㈜부일건화김재환214-86-31241서울 금천구 가산디지털1로181 가산더블유센터 1202~1206호습식방수공사6608166704785801093934100000.60.82
782021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48438전남 신안군 압해읍 압해로8811378791667782.25대한씨알엠㈜이현중613-81-11210경상남도 진주시 강남로247번길15번(칠암동)습식방수공사3904858053805030993971700001.021.04
892021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48439전남 신안군 압해읍 압해로8811378791667882.25㈜토탈피에스정기남220-88-78134서울 강남구 선릉로90길 10,비동 520호철근콘크리트 공사업4633630733813629296060000.640.88
9102021-05-04본사 건설처공사본사협력회사 작업동 신축공사원호종합건설 외 2개사정치훈411-81-48440전남 신안군 압해읍 압해로8811378791667982.25태신중공업㈜김대곤204-88-00459전라남도 담양군 담양읍 에코산단5로 39강구조물공사업3077897692404250783090500001.01.29
번호계약일사업소계약목적물계약명수급인 - 상호수급인 - 대표자수급인 - 사업자번호수급인 - 영업소 소재지수급인 - 도급금액(원)수급인 - 예가대비 낙찰율(퍼센트)하수급 - 상호하수급 - 대표자하수급 - 사업자번호하수급 - 영업소 소재지하도급 공종하도급 - 설계서 상 해당공종 금액하도급 - 산출내역서 상 해당공종 금액하도급 계약금액하도급률 - 설계금액 기준하도급률 - 산출내역서 기준
39402022-11-01영흥공사2022년 #4 석탄취급설비 계획예방정비공사㈜수산인더스트리한봉섭312-81-02856충남 천안시 서북구517840000078.14㈜케이티엠박 윤 배313-81-16557충청남도 보령시 대천방조제로 43, 1층(대천동)기계설비공사 外2341205421193337238515853838000.680.82
40412022-11-01영흥공사2022년 #5 석탄취급설비 계획예방정비공사㈜수산인더스트리한봉섭312-81-02857충남 천안시 서북구517840000078.14제이피코㈜문 상 현608-81-20532경상남도 창원시 성산구 공단로 460, 401호(신촌동)하역기 부속설비 공사 外2590306412131813661748087000.670.82
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42432022-11-01영흥공사2022년 #7 석탄취급설비 계획예방정비공사㈜수산인더스트리한봉섭312-81-02859충남 천안시 서북구517840000078.14(주)엔피산업전기이 경 수126-86-43493충청남도 아산시 음봉면 신동로 271-11케이블, 차단기 교체공사 外9347106881852615671209000.720.82
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