Overview

Dataset statistics

Number of variables13
Number of observations1200
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory130.2 KiB
Average record size in memory111.1 B

Variable types

Numeric6
DateTime3
Categorical4

Dataset

Description당진시 지방보조금통합관리시스템에서 관리하는 집행내역에 대한 데이터로 집행번호,사업관리번호,교부번호,사용일자,사용시간등의 항목을 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=322&beforeMenuCd=DOM_000000201001001000&publicdatapk=15091601

Alerts

작성자 is highly overall correlated with 사업관리번호 and 4 other fieldsHigh correlation
통계목 is highly overall correlated with 사업관리번호 and 7 other fieldsHigh correlation
은행명 is highly overall correlated with 통계목 and 1 other fieldsHigh correlation
융자금액 is highly overall correlated with 집행번호 and 8 other fieldsHigh correlation
집행번호 is highly overall correlated with 융자금액High correlation
사업관리번호 is highly overall correlated with 교부번호 and 3 other fieldsHigh correlation
교부번호 is highly overall correlated with 사업관리번호 and 3 other fieldsHigh correlation
보조금 is highly overall correlated with 합계액(사용금액) and 2 other fieldsHigh correlation
자부담금액 is highly overall correlated with 통계목 and 2 other fieldsHigh correlation
합계액(사용금액) is highly overall correlated with 보조금 and 2 other fieldsHigh correlation
융자금액 is highly imbalanced (96.1%)Imbalance
은행명 is highly imbalanced (52.9%)Imbalance
자부담금액 is highly skewed (γ1 = 22.57349423)Skewed
집행번호 has unique valuesUnique
보조금 has 60 (5.0%) zerosZeros
자부담금액 has 1133 (94.4%) zerosZeros

Reproduction

Analysis started2024-01-09 21:20:49.841143
Analysis finished2024-01-09 21:20:53.814186
Duration3.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집행번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1200
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41227.482
Minimum39812
Maximum43141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-01-10T06:20:53.872585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39812
5-th percentile40097.95
Q140491.75
median40846.5
Q342234.75
95-th percentile43072.05
Maximum43141
Range3329
Interquartile range (IQR)1743

Descriptive statistics

Standard deviation956.51604
Coefficient of variation (CV)0.023200932
Kurtosis-0.90616369
Mean41227.482
Median Absolute Deviation (MAD)452.5
Skewness0.66287398
Sum49472979
Variance914922.93
MonotonicityNot monotonic
2024-01-10T06:20:54.012856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39816 1
 
0.1%
41261 1
 
0.1%
41259 1
 
0.1%
41258 1
 
0.1%
41257 1
 
0.1%
41256 1
 
0.1%
41255 1
 
0.1%
41254 1
 
0.1%
41253 1
 
0.1%
41252 1
 
0.1%
Other values (1190) 1190
99.2%
ValueCountFrequency (%)
39812 1
0.1%
39813 1
0.1%
39814 1
0.1%
39815 1
0.1%
39816 1
0.1%
39817 1
0.1%
39818 1
0.1%
39819 1
0.1%
39820 1
0.1%
39821 1
0.1%
ValueCountFrequency (%)
43141 1
0.1%
43140 1
0.1%
43134 1
0.1%
43133 1
0.1%
43132 1
0.1%
43131 1
0.1%
43130 1
0.1%
43129 1
0.1%
43128 1
0.1%
43127 1
0.1%

사업관리번호
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2690.5933
Minimum2640
Maximum2861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-01-10T06:20:54.114666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2640
5-th percentile2640
Q12641
median2657
Q32731
95-th percentile2790
Maximum2861
Range221
Interquartile range (IQR)90

Descriptive statistics

Standard deviation61.508664
Coefficient of variation (CV)0.022860632
Kurtosis-0.30332457
Mean2690.5933
Median Absolute Deviation (MAD)17
Skewness0.97662358
Sum3228712
Variance3783.3157
MonotonicityNot monotonic
2024-01-10T06:20:54.203687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2640 273
22.8%
2790 172
14.3%
2647 151
12.6%
2657 99
 
8.2%
2646 75
 
6.2%
2731 72
 
6.0%
2641 71
 
5.9%
2728 69
 
5.8%
2729 69
 
5.8%
2661 58
 
4.8%
Other values (14) 91
 
7.6%
ValueCountFrequency (%)
2640 273
22.8%
2641 71
 
5.9%
2646 75
 
6.2%
2647 151
12.6%
2657 99
 
8.2%
2661 58
 
4.8%
2662 16
 
1.3%
2690 2
 
0.2%
2691 3
 
0.2%
2728 69
 
5.8%
ValueCountFrequency (%)
2861 7
 
0.6%
2860 6
 
0.5%
2853 9
 
0.8%
2851 12
 
1.0%
2807 2
 
0.2%
2790 172
14.3%
2749 15
 
1.2%
2745 1
 
0.1%
2744 1
 
0.1%
2740 3
 
0.2%

교부번호
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25742.286
Minimum24897
Maximum28948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-01-10T06:20:54.294850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24897
5-th percentile24897
Q124898
median25014
Q326858
95-th percentile26930
Maximum28948
Range4051
Interquartile range (IQR)1960

Descriptive statistics

Standard deviation1073.5848
Coefficient of variation (CV)0.041705109
Kurtosis-0.096907595
Mean25742.286
Median Absolute Deviation (MAD)117
Skewness0.92288213
Sum30890743
Variance1152584.4
MonotonicityNot monotonic
2024-01-10T06:20:54.402438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
24897 273
22.8%
26930 172
14.3%
25014 151
12.6%
24927 99
 
8.2%
24900 75
 
6.2%
26856 72
 
6.0%
24898 71
 
5.9%
26859 69
 
5.8%
26857 69
 
5.8%
25078 58
 
4.8%
Other values (16) 91
 
7.6%
ValueCountFrequency (%)
24897 273
22.8%
24898 71
 
5.9%
24900 75
 
6.2%
24927 99
 
8.2%
25014 151
12.6%
25078 58
 
4.8%
25079 16
 
1.3%
26847 2
 
0.2%
26848 3
 
0.2%
26856 72
 
6.0%
ValueCountFrequency (%)
28948 7
 
0.6%
28945 6
 
0.5%
28941 9
 
0.8%
28938 12
 
1.0%
26982 2
 
0.2%
26930 172
14.3%
26887 15
 
1.2%
26882 1
 
0.1%
26881 1
 
0.1%
26871 1
 
0.1%

사용일자
Date

Distinct163
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
Minimum2021-01-11 00:00:00
Maximum2021-09-27 00:00:00
2024-01-10T06:20:54.507512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:54.611923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

통계목
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
현대제철및산업단지주변민간환경감시사업
172 
당진시지속가능발전협의회운영비
151 
바르게살기운동당진시협의회운영비
99 
인건비
89 
2021년당진문화운운영비보조
75 
Other values (27)
614 

Length

Max length30
Median length23
Mean length14.585
Min length3

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row인건비
2nd row인건비
3rd row운영비
4th row운영비
5th row인건비

Common Values

ValueCountFrequency (%)
현대제철및산업단지주변민간환경감시사업 172
14.3%
당진시지속가능발전협의회운영비 151
12.6%
바르게살기운동당진시협의회운영비 99
 
8.2%
인건비 89
 
7.4%
2021년당진문화운운영비보조 75
 
6.2%
2021년 논배미시민학교 운영 72
 
6.0%
중증장애인긴급돌봄서비스 71
 
5.9%
2021년 당진시지역환경교육센터운영(사업비) 69
 
5.8%
2021년 찾아가는 환경교육 프로그램 운영 69
 
5.8%
건강UP 기분UP 볼링교실 58
 
4.8%
Other values (22) 275
22.9%

Length

2024-01-10T06:20:54.734375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021년 242
 
12.4%
현대제철및산업단지주변민간환경감시사업 172
 
8.8%
당진시지속가능발전협의회운영비 151
 
7.8%
운영 141
 
7.2%
바르게살기운동당진시협의회운영비 99
 
5.1%
프로그램 92
 
4.7%
인건비 89
 
4.6%
2021년당진문화운운영비보조 75
 
3.9%
논배미시민학교 72
 
3.7%
중증장애인긴급돌봄서비스 71
 
3.6%
Other values (35) 744
38.2%

보조금
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct432
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404601.09
Minimum0
Maximum24500000
Zeros60
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-01-10T06:20:54.869870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile475
Q120900
median70300
Q3240000
95-th percentile1874517.5
Maximum24500000
Range24500000
Interquartile range (IQR)219100

Descriptive statistics

Standard deviation1329683.1
Coefficient of variation (CV)3.2864053
Kurtosis179.18978
Mean404601.09
Median Absolute Deviation (MAD)56054.5
Skewness11.410235
Sum4.8552131 × 108
Variance1.7680573 × 1012
MonotonicityNot monotonic
2024-01-10T06:20:55.012289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 90
 
7.5%
0 60
 
5.0%
40000 40
 
3.3%
20000 36
 
3.0%
125000 35
 
2.9%
100000 30
 
2.5%
330000 20
 
1.7%
12000 15
 
1.2%
459650 15
 
1.2%
120000 14
 
1.2%
Other values (422) 845
70.4%
ValueCountFrequency (%)
0 60
5.0%
500 5
 
0.4%
1000 1
 
0.1%
1200 1
 
0.1%
1500 1
 
0.1%
1600 2
 
0.2%
1650 1
 
0.1%
2000 1
 
0.1%
2400 2
 
0.2%
2475 1
 
0.1%
ValueCountFrequency (%)
24500000 1
 
0.1%
23800000 1
 
0.1%
10660000 1
 
0.1%
9354000 4
0.3%
8000000 1
 
0.1%
5208742 1
 
0.1%
3900000 3
0.2%
3655630 1
 
0.1%
3607570 6
0.5%
3345280 2
 
0.2%

자부담금액
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct43
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27344.875
Minimum0
Maximum10500000
Zeros1133
Zeros (%)94.4%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-01-10T06:20:55.150822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3640
Maximum10500000
Range10500000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation434721.93
Coefficient of variation (CV)15.897748
Kurtosis531.34371
Mean27344.875
Median Absolute Deviation (MAD)0
Skewness22.573494
Sum32813850
Variance1.8898315 × 1011
MonotonicityNot monotonic
2024-01-10T06:20:55.291915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 1133
94.4%
20000 10
 
0.8%
300000 4
 
0.3%
1100000 3
 
0.2%
250000 3
 
0.2%
6600 3
 
0.2%
137300 2
 
0.2%
4400 2
 
0.2%
40000 2
 
0.2%
8250 2
 
0.2%
Other values (33) 36
 
3.0%
ValueCountFrequency (%)
0 1133
94.4%
1000 1
 
0.1%
2200 2
 
0.2%
2400 1
 
0.1%
3300 2
 
0.2%
3600 1
 
0.1%
4400 2
 
0.2%
4950 1
 
0.1%
6600 3
 
0.2%
8250 2
 
0.2%
ValueCountFrequency (%)
10500000 1
 
0.1%
10200000 1
 
0.1%
2000000 1
 
0.1%
1672000 1
 
0.1%
1400000 1
 
0.1%
1100000 3
0.2%
430000 1
 
0.1%
300000 4
0.3%
250000 3
0.2%
137300 2
0.2%

융자금액
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
0
1195 
<NA>
 
5

Length

Max length4
Median length1
Mean length1.0125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1195
99.6%
<NA> 5
 
0.4%

Length

2024-01-10T06:20:55.425593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:20:55.524096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1195
99.6%
na 5
 
0.4%

합계액(사용금액)
Real number (ℝ)

HIGH CORRELATION 

Distinct457
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean431945.96
Minimum0
Maximum35000000
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2024-01-10T06:20:55.633114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6980
Q127800
median78015
Q3250000
95-th percentile1874517.5
Maximum35000000
Range35000000
Interquartile range (IQR)222200

Descriptive statistics

Standard deviation1678421.5
Coefficient of variation (CV)3.885721
Kurtosis287.0098
Mean431945.96
Median Absolute Deviation (MAD)60065
Skewness15.013501
Sum5.1833516 × 108
Variance2.8170988 × 1012
MonotonicityNot monotonic
2024-01-10T06:20:56.003648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 90
 
7.5%
20000 46
 
3.8%
40000 42
 
3.5%
125000 35
 
2.9%
100000 31
 
2.6%
330000 20
 
1.7%
459650 15
 
1.2%
12000 15
 
1.2%
120000 14
 
1.2%
110000 14
 
1.2%
Other values (447) 878
73.2%
ValueCountFrequency (%)
0 2
 
0.2%
500 5
0.4%
1000 2
 
0.2%
1200 1
 
0.1%
1500 1
 
0.1%
1600 2
 
0.2%
1650 1
 
0.1%
2000 1
 
0.1%
2200 1
 
0.1%
2400 3
0.2%
ValueCountFrequency (%)
35000000 1
 
0.1%
34000000 1
 
0.1%
10660000 1
 
0.1%
10000000 1
 
0.1%
9354000 4
0.3%
5208742 1
 
0.1%
5000000 3
0.2%
3655630 1
 
0.1%
3607570 6
0.5%
3345280 2
 
0.2%

은행명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct11
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
<NA>
552 
농협중앙회
497 
농협회원조합
101 
하나은행
 
20
신한은행
 
14
Other values (6)
 
16

Length

Max length6
Median length5
Mean length4.5758333
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 552
46.0%
농협중앙회 497
41.4%
농협회원조합 101
 
8.4%
하나은행 20
 
1.7%
신한은행 14
 
1.2%
국민은행 5
 
0.4%
기업은행 4
 
0.3%
농협 3
 
0.2%
산업은행 2
 
0.2%
우리은행 1
 
0.1%

Length

2024-01-10T06:20:56.114341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 552
46.0%
농협중앙회 497
41.4%
농협회원조합 101
 
8.4%
하나은행 20
 
1.7%
신한은행 14
 
1.2%
국민은행 5
 
0.4%
기업은행 4
 
0.3%
농협 3
 
0.2%
산업은행 2
 
0.2%
우리은행 1
 
0.1%

작성자
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
당진시지속가능발전협의회
374 
당진시장애인가족지원센터
350 
당진환경운동연합
172 
바르게살기운동당진시협의회
101 
당진문화원
82 
Other values (8)
121 

Length

Max length14
Median length12
Mean length10.938333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당진시지속가능발전협의회 374
31.2%
당진시장애인가족지원센터 350
29.2%
당진환경운동연합 172
14.3%
바르게살기운동당진시협의회 101
 
8.4%
당진문화원 82
 
6.8%
충남농아인협회당진시지회 58
 
4.8%
두드림장애인주간보호센터 16
 
1.3%
사)충남장애인부모회당진지회 15
 
1.2%
김경희 12
 
1.0%
충남옥외광고협회당진시지부 9
 
0.8%
Other values (3) 11
 
0.9%

Length

2024-01-10T06:20:56.211159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
당진시지속가능발전협의회 374
31.2%
당진시장애인가족지원센터 350
29.2%
당진환경운동연합 172
14.3%
바르게살기운동당진시협의회 101
 
8.4%
당진문화원 82
 
6.8%
충남농아인협회당진시지회 58
 
4.8%
두드림장애인주간보호센터 16
 
1.3%
사)충남장애인부모회당진지회 15
 
1.2%
김경희 12
 
1.0%
충남옥외광고협회당진시지부 9
 
0.8%
Other values (3) 11
 
0.9%

작성일
Date

Distinct148
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
Minimum2021-01-26 00:00:00
Maximum2021-09-27 00:00:00
2024-01-10T06:20:56.303166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:56.400535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

변경일
Date

Distinct110
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size9.5 KiB
Minimum2021-01-26 00:00:00
Maximum2021-09-27 00:00:00
2024-01-10T06:20:56.498294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:56.601457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-01-10T06:20:53.049157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:50.345537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:50.799176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.437676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.912906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.461599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:53.155367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:50.418293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:50.868619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.514500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.987448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.558142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:53.254949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:50.488362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:50.938274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.588510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.075528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.645364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:53.360704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:50.567261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.016550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.670878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.182050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.756776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:53.434801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:50.646861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.090563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.750295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.271052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.852418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:53.510424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:50.720075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.365153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:51.826681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.364348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:20:52.949045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:20:56.675278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집행번호사업관리번호교부번호통계목보조금자부담금액합계액(사용금액)은행명작성자
집행번호1.0000.5590.6280.7830.0880.1880.0860.3230.555
사업관리번호0.5591.0001.0001.0000.1150.1090.0530.5540.904
교부번호0.6281.0001.0001.0000.1230.0710.0780.7460.923
통계목0.7831.0001.0001.0000.8000.9760.8470.8541.000
보조금0.0880.1150.1230.8001.0000.9520.9430.5990.520
자부담금액0.1880.1090.0710.9760.9521.0000.7580.0000.778
합계액(사용금액)0.0860.0530.0780.8470.9430.7581.0000.4770.567
은행명0.3230.5540.7460.8540.5990.0000.4771.0000.879
작성자0.5550.9040.9231.0000.5200.7780.5670.8791.000
2024-01-10T06:20:56.771188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작성자통계목은행명융자금액
작성자1.0000.9920.4631.000
통계목0.9921.0000.5251.000
은행명0.4630.5251.0001.000
융자금액1.0001.0001.0001.000
2024-01-10T06:20:56.862855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
집행번호사업관리번호교부번호보조금자부담금액합계액(사용금액)통계목융자금액은행명작성자
집행번호1.0000.2850.331-0.0520.073-0.0270.4261.0000.1590.277
사업관리번호0.2851.0000.975-0.1000.038-0.0840.9891.0000.3390.723
교부번호0.3310.9751.000-0.0820.031-0.0650.9881.0000.4030.837
보조금-0.052-0.100-0.0821.000-0.3090.9530.5031.0000.2890.288
자부담금액0.0730.0380.031-0.3091.000-0.0950.9041.0000.0000.623
합계액(사용금액)-0.027-0.084-0.0650.953-0.0951.0000.5941.0000.3030.350
통계목0.4260.9890.9880.5030.9040.5941.0001.0000.5250.992
융자금액1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
은행명0.1590.3390.4030.2890.0000.3030.5251.0001.0000.463
작성자0.2770.7230.8370.2880.6230.3500.9921.0000.4631.000

Missing values

2024-01-10T06:20:53.625250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:20:53.760977image/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

집행번호사업관리번호교부번호사용일자통계목보조금자부담금액융자금액합계액(사용금액)은행명작성자작성일변경일
0398162640248972021-01-25인건비1719350001719350농협중앙회당진시장애인가족지원센터2021-01-262021-01-26
1398152640248972021-01-25인건비1725250001725250농협중앙회당진시장애인가족지원센터2021-01-262021-01-26
2398122640248972021-01-25운영비136000013600농협중앙회당진시장애인가족지원센터2021-01-262021-01-26
3398132640248972021-01-25운영비136000013600농협중앙회당진시장애인가족지원센터2021-01-262021-01-26
4398142640248972021-01-25인건비2049860002049860농협중앙회당진시장애인가족지원센터2021-01-262021-01-26
5398172640248972021-01-25인건비703000070300농협회원조합당진시장애인가족지원센터2021-01-262021-01-26
6398182640248972021-01-25인건비56704000567040농협회원조합당진시장애인가족지원센터2021-01-262021-01-26
7398192640248972021-01-25인건비62978000629780농협회원조합당진시장애인가족지원센터2021-01-262021-01-26
8398202640248972021-01-25인건비15822000158220농협중앙회당진시장애인가족지원센터2021-01-262021-01-26
9398212640248972021-01-25인건비14357000143570농협중앙회당진시장애인가족지원센터2021-01-262021-01-26
집행번호사업관리번호교부번호사용일자통계목보조금자부담금액융자금액합계액(사용금액)은행명작성자작성일변경일
1190431272731268562021-08-272021년 논배미시민학교 운영500000050000농협중앙회당진시지속가능발전협의회2021-09-262021-09-26
1191431282731268562021-09-022021년 논배미시민학교 운영66000000660000농협중앙회당진시지속가능발전협의회2021-09-262021-09-26
1192431292640248972021-09-16운영비33160000331600신한은행당진시장애인가족지원센터2021-09-272021-09-27
1193431302640248972021-09-16운영비50000500신한은행당진시장애인가족지원센터2021-09-272021-09-27
1194431312640248972021-09-24인건비1361860001361860농협중앙회당진시장애인가족지원센터2021-09-272021-09-27
1195431322640248972021-09-24인건비1161680001161680농협중앙회당진시장애인가족지원센터2021-09-272021-09-27
1196431332640248972021-09-24인건비1143730001143730농협중앙회당진시장애인가족지원센터2021-09-272021-09-27
1197431342640248972021-09-24인건비118100011810농협중앙회당진시장애인가족지원센터2021-09-272021-09-27
1198431402661250782021-09-27건강UP 기분UP 볼링교실170000017000<NA>충남농아인협회당진시지회2021-09-272021-09-27
1199431412661250782021-09-27건강UP 기분UP 볼링교실130000013000<NA>충남농아인협회당진시지회2021-09-272021-09-27