Overview

Dataset statistics

Number of variables15
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory131.5 B

Variable types

Categorical11
Text1
Numeric3

Dataset

Description충북개발공사의 발주계획 중 물품에 관한 자료입니다. 발주년월, 조달방식, 공사(용역/물품)명, 계약방법 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15040215/fileData.do

Alerts

발주년도 has constant value ""Constant
공사지역 has constant value ""Constant
부서명 is highly overall correlated with 발주월 and 3 other fieldsHigh correlation
발주월 is highly overall correlated with 사업구분 and 6 other fieldsHigh correlation
담당자 is highly overall correlated with 발주월 and 6 other fieldsHigh correlation
전화번호 is highly overall correlated with 발주월 and 5 other fieldsHigh correlation
발주도급금액 is highly overall correlated with 발주관급자재비 and 2 other fieldsHigh correlation
발주관급자재비 is highly overall correlated with 발주도급금액 and 1 other fieldsHigh correlation
발주합계금액 is highly overall correlated with 발주도급금액 and 2 other fieldsHigh correlation
사업구분 is highly overall correlated with 발주월 and 3 other fieldsHigh correlation
조달방식 is highly overall correlated with 발주월 and 2 other fieldsHigh correlation
공종 is highly overall correlated with 발주도급금액 and 1 other fieldsHigh correlation
계약방법 is highly overall correlated with 발주월 and 2 other fieldsHigh correlation
발주기타금액 is highly overall correlated with 발주월 and 3 other fieldsHigh correlation
발주기타금액 is highly imbalanced (68.6%)Imbalance
공사명 has unique valuesUnique
발주도급금액 has unique valuesUnique
발주합계금액 has unique valuesUnique
발주관급자재비 has 9 (37.5%) zerosZeros

Reproduction

Analysis started2023-12-12 12:35:29.051826
Analysis finished2023-12-12 12:35:31.090331
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발주년도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 24
100.0%

Length

2023-12-12T21:35:31.147357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:31.222861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 24
100.0%

발주월
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2
6 
4
6 
8
6 
3
5 
9
1 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 6
25.0%
4 6
25.0%
8 6
25.0%
3 5
20.8%
9 1
 
4.2%

Length

2023-12-12T21:35:31.306614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:31.403500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 6
25.0%
4 6
25.0%
8 6
25.0%
3 5
20.8%
9 1
 
4.2%

사업구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
위수탁사업
18 
자체사업
6 

Length

Max length5
Median length5
Mean length4.75
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위수탁사업 18
75.0%
자체사업 6
 
25.0%

Length

2023-12-12T21:35:31.513561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:31.599484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위수탁사업 18
75.0%
자체사업 6
 
25.0%

조달방식
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
자체조달
20 
중앙조달
4 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자체조달 20
83.3%
중앙조달 4
 
16.7%

Length

2023-12-12T21:35:31.687500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:31.767466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체조달 20
83.3%
중앙조달 4
 
16.7%

공사명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T21:35:31.912323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22.291667
Min length14

Characters and Unicode

Total characters535
Distinct characters76
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

Unique24 ?
Unique (%)100.0%

Sample

1st row옥천 도시재생 창의어울림센터 건축공사
2nd row옥천 도시재생 창의어울림센터 기계설비공사
3rd row옥천 도시재생 창의어울림센터 전기공사
4th row옥천 도시재생 창의어울림센터 정보통신공사
5th row옥천 도시재생 창의어울림센터 소방공사
ValueCountFrequency (%)
건립사업 11
 
10.8%
옥천 5
 
4.9%
임대주택 5
 
4.9%
채움하우스 5
 
4.9%
제천 5
 
4.9%
이전사업 5
 
4.9%
자치연수원 5
 
4.9%
충청북도 5
 
4.9%
도시재생 5
 
4.9%
오창과학산업단지 5
 
4.9%
Other values (20) 46
45.1%
2023-12-12T21:35:32.247184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
78
 
14.6%
사 41
 
7.7%
업 25
 
4.7%
공 24
 
4.5%
건 15
 
2.8%
지 13
 
2.4%
창 11
 
2.1%
립 11
 
2.1%
도 11
 
2.1%
원 10
 
1.9%
Other values (66) 296
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
85.4%
Space Separator 78
 
14.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 41
 
9.0%
업 25
 
5.5%
공 24
 
5.3%
건 15
 
3.3%
지 13
 
2.8%
창 11
 
2.4%
립 11
 
2.4%
도 11
 
2.4%
원 10
 
2.2%
천 10
 
2.2%
Other values (65) 286
62.6%
Space Separator
ValueCountFrequency (%)
78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
85.4%
Common 78
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 41
 
9.0%
업 25
 
5.5%
공 24
 
5.3%
건 15
 
3.3%
지 13
 
2.8%
창 11
 
2.4%
립 11
 
2.4%
도 11
 
2.4%
원 10
 
2.2%
천 10
 
2.2%
Other values (65) 286
62.6%
Common
ValueCountFrequency (%)
78
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
85.4%
ASCII 78
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
78
100.0%
Hangul
ValueCountFrequency (%)
사 41
 
9.0%
업 25
 
5.5%
공 24
 
5.3%
건 15
 
3.3%
지 13
 
2.8%
창 11
 
2.4%
립 11
 
2.4%
도 11
 
2.4%
원 10
 
2.2%
천 10
 
2.2%
Other values (65) 286
62.6%

공사지역
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
충청북도
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충청북도 24
100.0%

Length

2023-12-12T21:35:32.382685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:32.466708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청북도 24
100.0%

공종
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
전기
5 
전문
4 
통신
4 
소방
4 
건축
3 
Other values (3)
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row건축
2nd row전문
3rd row전기
4th row통신
5th row소방

Common Values

ValueCountFrequency (%)
전기 5
20.8%
전문 4
16.7%
통신 4
16.7%
소방 4
16.7%
건축 3
12.5%
기타 2
 
8.3%
토목 1
 
4.2%
토건 1
 
4.2%

Length

2023-12-12T21:35:32.573611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:32.692730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 5
20.8%
전문 4
16.7%
통신 4
16.7%
소방 4
16.7%
건축 3
12.5%
기타 2
 
8.3%
토목 1
 
4.2%
토건 1
 
4.2%

계약방법
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
일반경쟁
12 
제한경쟁
9 
수의계약
3 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반경쟁 12
50.0%
제한경쟁 9
37.5%
수의계약 3
 
12.5%

Length

2023-12-12T21:35:32.854331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:32.977803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반경쟁 12
50.0%
제한경쟁 9
37.5%
수의계약 3
 
12.5%

발주도급금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5595649 × 109
Minimum12000000
Maximum2.16 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T21:35:33.090401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12000000
5-th percentile1.1645 × 108
Q14.5931025 × 108
median1.3385 × 109
Q33.242968 × 109
95-th percentile1.8772413 × 1010
Maximum2.16 × 1010
Range2.1588 × 1010
Interquartile range (IQR)2.7836578 × 109

Descriptive statistics

Standard deviation5.8549792 × 109
Coefficient of variation (CV)1.6448581
Kurtosis5.4774293
Mean3.5595649 × 109
Median Absolute Deviation (MAD)9.42579 × 108
Skewness2.4790614
Sum8.5429558 × 1010
Variance3.4280781 × 1019
MonotonicityNot monotonic
2023-12-12T21:35:33.234885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4000000000 1
 
4.2%
2631387000 1
 
4.2%
3653210000 1
 
4.2%
1377000000 1
 
4.2%
1125000000 1
 
4.2%
1925000000 1
 
4.2%
1820000000 1
 
4.2%
11200000000 1
 
4.2%
21600000000 1
 
4.2%
1300000000 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
12000000 1
4.2%
113000000 1
4.2%
136000000 1
4.2%
361842000 1
4.2%
430000000 1
4.2%
439241000 1
4.2%
466000000 1
4.2%
577489000 1
4.2%
756244126 1
4.2%
956780000 1
4.2%
ValueCountFrequency (%)
21600000000 1
4.2%
20108721472 1
4.2%
11200000000 1
4.2%
5779768000 1
4.2%
4000000000 1
4.2%
3653210000 1
4.2%
3106220684 1
4.2%
2631387000 1
4.2%
1925000000 1
4.2%
1820000000 1
4.2%

발주관급자재비
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2948126 × 109
Minimum0
Maximum1.44 × 1010
Zeros9
Zeros (%)37.5%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T21:35:33.361449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.891305 × 108
Q31.25752 × 109
95-th percentile3.5177019 × 109
Maximum1.44 × 1010
Range1.44 × 1010
Interquartile range (IQR)1.25752 × 109

Descriptive statistics

Standard deviation2.9750839 × 109
Coefficient of variation (CV)2.2976947
Kurtosis17.878784
Mean1.2948126 × 109
Median Absolute Deviation (MAD)1.891305 × 108
Skewness4.040864
Sum3.1075501 × 1010
Variance8.8511243 × 1018
MonotonicityNot monotonic
2023-12-12T21:35:33.506196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 9
37.5%
1100000000 1
 
4.2%
3563520395 1
 
4.2%
3258064000 1
 
4.2%
14400000000 1
 
4.2%
700000000 1
 
4.2%
1127235000 1
 
4.2%
1648375000 1
 
4.2%
1961182034 1
 
4.2%
233261000 1
 
4.2%
Other values (6) 6
25.0%
ValueCountFrequency (%)
0 9
37.5%
70000000 1
 
4.2%
129000000 1
 
4.2%
145000000 1
 
4.2%
233261000 1
 
4.2%
334747000 1
 
4.2%
700000000 1
 
4.2%
700667000 1
 
4.2%
1100000000 1
 
4.2%
1127235000 1
 
4.2%
ValueCountFrequency (%)
14400000000 1
4.2%
3563520395 1
4.2%
3258064000 1
4.2%
1961182034 1
4.2%
1704450000 1
4.2%
1648375000 1
4.2%
1127235000 1
4.2%
1100000000 1
4.2%
700667000 1
4.2%
700000000 1
4.2%

발주기타금액
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
22 
22000000
 
1
21614000
 
1

Length

Max length8
Median length1
Mean length1.5833333
Min length1

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row0
2nd row0
3rd row22000000
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
91.7%
22000000 1
 
4.2%
21614000 1
 
4.2%

Length

2023-12-12T21:35:33.676259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:33.787882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
91.7%
22000000 1
 
4.2%
21614000 1
 
4.2%

발주합계금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.139528 × 109
Minimum12000000
Maximum3.6 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T21:35:33.892753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12000000
5-th percentile2.114 × 108
Q16.536265 × 108
median1.5985 × 109
Q35.075552 × 109
95-th percentile2.2821406 × 1010
Maximum3.6 × 1010
Range3.5988 × 1010
Interquartile range (IQR)4.4219255 × 109

Descriptive statistics

Standard deviation8.7153246 × 109
Coefficient of variation (CV)1.6957441
Kurtosis6.9164042
Mean5.139528 × 109
Median Absolute Deviation (MAD)1.184579 × 109
Skewness2.6296735
Sum1.2334867 × 1011
Variance7.5956882 × 1019
MonotonicityNot monotonic
2023-12-12T21:35:34.135379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5100000000 1
 
4.2%
4279762000 1
 
4.2%
6932888000 1
 
4.2%
1377000000 1
 
4.2%
1125000000 1
 
4.2%
1925000000 1
 
4.2%
1820000000 1
 
4.2%
18000000000 1
 
4.2%
36000000000 1
 
4.2%
2000000000 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
12000000 1
4.2%
206000000 1
4.2%
242000000 1
4.2%
361842000 1
4.2%
466000000 1
4.2%
597000000 1
4.2%
672502000 1
4.2%
756244126 1
4.2%
1125000000 1
4.2%
1278156000 1
4.2%
ValueCountFrequency (%)
36000000000 1
4.2%
23672241867 1
4.2%
18000000000 1
4.2%
7484218000 1
4.2%
6932888000 1
4.2%
5100000000 1
4.2%
5067402718 1
4.2%
4279762000 1
4.2%
2681889299 1
4.2%
2000000000 1
4.2%

부서명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
균형개발사업처
16 
도시개발재생처
5 
오송사업단
2 
산업개발사업처
 
1

Length

Max length7
Median length7
Mean length6.8333333
Min length5

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
균형개발사업처 16
66.7%
도시개발재생처 5
 
20.8%
오송사업단 2
 
8.3%
산업개발사업처 1
 
4.2%

Length

2023-12-12T21:35:34.290053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:34.739264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
균형개발사업처 16
66.7%
도시개발재생처 5
 
20.8%
오송사업단 2
 
8.3%
산업개발사업처 1
 
4.2%

담당자
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
전혁상
6 
권순용
5 
김철희
5 
이민희
5 
연민정
2 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
전혁상 6
25.0%
권순용 5
20.8%
김철희 5
20.8%
이민희 5
20.8%
연민정 2
 
8.3%
박찬이 1
 
4.2%

Length

2023-12-12T21:35:34.893082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:35.015590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전혁상 6
25.0%
권순용 5
20.8%
김철희 5
20.8%
이민희 5
20.8%
연민정 2
 
8.3%
박찬이 1
 
4.2%

전화번호
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
043-210-9195
6 
042-210-9196
5 
043-210-9197
5 
043-710-9621
4 
043-235-3173
2 
Other values (2)
2 

Length

Max length13
Median length12
Mean length12.041667
Min length12

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row042-210-9196
2nd row042-210-9196
3rd row042-210-9196
4th row042-210-9196
5th row042-210-9196

Common Values

ValueCountFrequency (%)
043-210-9195 6
25.0%
042-210-9196 5
20.8%
043-210-9197 5
20.8%
043-710-9621 4
16.7%
043-235-3173 2
 
8.3%
043-210-9621 1
 
4.2%
070-4144-9066 1
 
4.2%

Length

2023-12-12T21:35:35.159043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:35:35.308316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
043-210-9195 6
25.0%
042-210-9196 5
20.8%
043-210-9197 5
20.8%
043-710-9621 4
16.7%
043-235-3173 2
 
8.3%
043-210-9621 1
 
4.2%
070-4144-9066 1
 
4.2%

Interactions

2023-12-12T21:35:30.497207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:29.893030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:30.145081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:30.590160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:29.967184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:30.262826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:30.688957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:30.053435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:35:30.389347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:35:35.444364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발주월사업구분조달방식공사명공종계약방법발주도급금액발주관급자재비발주기타금액발주합계금액부서명담당자전화번호
발주월1.0000.7470.5981.0000.0000.7190.1370.4500.7060.0330.8230.9460.942
사업구분0.7471.0000.0001.0000.0000.3250.0000.0000.1530.0000.5230.9810.800
조달방식0.5980.0001.0001.0000.0000.0000.0000.5850.0000.0000.0000.9660.761
공사명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공종0.0000.0000.0001.0001.0000.0000.7570.8200.0000.8110.3090.0000.000
계약방법0.7190.3250.0001.0000.0001.0000.0000.0000.0000.0000.4060.8800.653
발주도급금액0.1370.0000.0001.0000.7570.0001.0000.6920.0001.0000.2660.2680.000
발주관급자재비0.4500.0000.5851.0000.8200.0000.6921.0000.3800.9300.8300.7000.640
발주기타금액0.7060.1530.0001.0000.0000.0000.0000.3801.0000.0000.6410.9330.738
발주합계금액0.0330.0000.0001.0000.8110.0001.0000.9300.0001.0000.4950.5900.237
부서명0.8230.5230.0001.0000.3090.4060.2660.8300.6410.4951.0001.0001.000
담당자0.9460.9810.9661.0000.0000.8800.2680.7000.9330.5901.0001.0001.000
전화번호0.9420.8000.7611.0000.0000.6530.0000.6400.7380.2371.0001.0001.000
2023-12-12T21:35:35.635168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부서명조달방식사업구분공종발주기타금액계약방법발주월담당자전화번호
부서명1.0000.0000.3320.0440.6450.3810.7690.9490.922
조달방식0.0001.0000.0000.0000.0000.0000.6670.7530.722
사업구분0.3320.0001.0000.0000.2390.5080.8190.7900.761
공종0.0440.0000.0001.0000.0000.0000.0000.0000.000
발주기타금액0.6450.0000.2390.0001.0000.0000.6540.6320.593
계약방법0.3810.0000.5080.0000.0001.0000.6720.5380.492
발주월0.7690.6670.8190.0000.6540.6721.0000.9020.872
담당자0.9490.7530.7900.0000.6320.5380.9021.0000.972
전화번호0.9220.7220.7610.0000.5930.4920.8720.9721.000
2023-12-12T21:35:35.778244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발주도급금액발주관급자재비발주합계금액발주월사업구분조달방식공종계약방법발주기타금액부서명담당자전화번호
발주도급금액1.0000.5480.9820.0710.0000.0340.5520.0000.0000.2110.1640.000
발주관급자재비0.5481.0000.6450.3630.0000.3770.4240.0000.3540.4720.4960.451
발주합계금액0.9820.6451.0000.0540.0000.0000.5910.0000.0000.3200.2380.121
발주월0.0710.3630.0541.0000.8190.6670.0000.6720.6540.7690.9020.872
사업구분0.0000.0000.0000.8191.0000.0000.0000.5080.2390.3320.7900.761
조달방식0.0340.3770.0000.6670.0001.0000.0000.0000.0000.0000.7530.722
공종0.5520.4240.5910.0000.0000.0001.0000.0000.0000.0440.0000.000
계약방법0.0000.0000.0000.6720.5080.0000.0001.0000.0000.3810.5380.492
발주기타금액0.0000.3540.0000.6540.2390.0000.0000.0001.0000.6450.6320.593
부서명0.2110.4720.3200.7690.3320.0000.0440.3810.6451.0000.9490.922
담당자0.1640.4960.2380.9020.7900.7530.0000.5380.6320.9491.0000.972
전화번호0.0000.4510.1210.8720.7610.7220.0000.4920.5930.9220.9721.000

Missing values

2023-12-12T21:35:30.838491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:35:31.017424image/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

발주년도발주월사업구분조달방식공사명공사지역공종계약방법발주도급금액발주관급자재비발주기타금액발주합계금액부서명담당자전화번호
020232위수탁사업자체조달옥천 도시재생 창의어울림센터 건축공사충청북도건축제한경쟁4000000000110000000005100000000균형개발사업처권순용042-210-9196
120232위수탁사업자체조달옥천 도시재생 창의어울림센터 기계설비공사충청북도전문수의계약1130000001290000000242000000균형개발사업처권순용042-210-9196
220232위수탁사업자체조달옥천 도시재생 창의어울림센터 전기공사충청북도전기제한경쟁43000000014500000022000000597000000균형개발사업처권순용042-210-9196
320232위수탁사업자체조달옥천 도시재생 창의어울림센터 정보통신공사충청북도통신수의계약136000000700000000206000000균형개발사업처권순용042-210-9196
420232위수탁사업자체조달옥천 도시재생 창의어울림센터 소방공사충청북도소방제한경쟁46600000000466000000균형개발사업처권순용042-210-9196
520232위수탁사업자체조달증평 창의파크 건립사업 석면해제 및 제거공사충청북도기타수의계약120000000012000000균형개발사업처전혁상043-210-9195
620233위수탁사업자체조달오창과학산업단지 혁신지원센터 건립사업 건축공사충청북도건축제한경쟁5779768000170445000007484218000도시개발재생처김철희043-710-9621
720233위수탁사업자체조달오창과학산업단지 혁신지원센터 건립사업 기계설비공사충청북도전문제한경쟁57748900070066700001278156000도시개발재생처김철희043-210-9621
820233위수탁사업자체조달오창과학산업단지 혁신지원센터 건립사업 전기공사충청북도전기제한경쟁95678000033474700001291527000도시개발재생처김철희043-710-9621
920233위수탁사업자체조달오창과학산업단지 혁신지원센터 건립사업 정보통신공사충청북도통신제한경쟁4392410002332610000672502000도시개발재생처김철희043-710-9621
발주년도발주월사업구분조달방식공사명공사지역공종계약방법발주도급금액발주관급자재비발주기타금액발주합계금액부서명담당자전화번호
1420234위수탁사업중앙조달충청북도 자치연수원 이전사업 정보통신공사충청북도통신일반경쟁1554654299112723500002681889299균형개발사업처이민희043-210-9197
1520234위수탁사업중앙조달충청북도 자치연수원 이전사업 소방공사충청북도소방제한경쟁75624412600756244126균형개발사업처이민희043-210-9197
1620234위수탁사업자체조달오송 바이오산업단지 조성사업 광역상수도 이설공사충청북도기타일반경쟁130000000070000000002000000000오송사업단연민정043-235-3173
1720238위수탁사업자체조달오송 바이오산업단지 조성공사충청북도토목일반경쟁2160000000014400000000036000000000오송사업단연민정043-235-3173
1820238자체사업자체조달제천 채움하우스 임대주택 건립사업 건축공사충청북도토건일반경쟁112000000000018000000000균형개발사업처전혁상043-210-9195
1920238자체사업자체조달제천 채움하우스 임대주택 건립사업 기계설비공사충청북도전문일반경쟁1820000000001820000000균형개발사업처전혁상043-210-9195
2020238자체사업자체조달제천 채움하우스 임대주택 건립사업 전기공사충청북도전기일반경쟁1925000000001925000000균형개발사업처전혁상043-210-9195
2120238자체사업자체조달제천 채움하우스 임대주택 건립사업 정보통신공사충청북도통신일반경쟁1125000000001125000000균형개발사업처전혁상043-210-9195
2220238자체사업자체조달제천 채움하우스 임대주택 건립사업 소방공사충청북도소방일반경쟁1377000000001377000000균형개발사업처전혁상043-210-9195
2320239자체사업자체조달음성 인곡산업단지 전기공사충청북도전기일반경쟁36532100003258064000216140006932888000산업개발사업처박찬이070-4144-9066