Overview

Dataset statistics

Number of variables9
Number of observations126
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory80.0 B

Variable types

Categorical2
Numeric7

Dataset

DescriptionSample
Author소상공인연합회
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KFMECMS005

Alerts

신청 가구수 총합 is highly overall correlated with 현금신청 가구수 and 5 other fieldsHigh correlation
현금신청 가구수 is highly overall correlated with 신청 가구수 총합 and 6 other fieldsHigh correlation
신용·체크카드 신청 가구수 is highly overall correlated with 신청 가구수 총합 and 5 other fieldsHigh correlation
지역사랑상품권 신청 가구수 is highly overall correlated with 신청 가구수 총합 and 3 other fieldsHigh correlation
선불카드 신청 가구수 is highly overall correlated with 신청 가구수 총합 and 3 other fieldsHigh correlation
신청 금액 총합 is highly overall correlated with 신청 가구수 총합 and 5 other fieldsHigh correlation
평균 신청 금액 is highly overall correlated with 현금신청 가구수 and 1 other fieldsHigh correlation
지역 is highly overall correlated with 신청 가구수 총합 and 4 other fieldsHigh correlation
신청 가구수 총합 has unique valuesUnique
신용·체크카드 신청 가구수 has unique valuesUnique
신청 금액 총합 has unique valuesUnique
평균 신청 금액 has unique valuesUnique
선불카드 신청 가구수 has 8 (6.3%) zerosZeros

Reproduction

Analysis started2023-12-10 06:28:42.132930
Analysis finished2023-12-10 06:28:51.002325
Duration8.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Categorical

Distinct7
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
5월 18일
18 
5월 19일
18 
5월 20일
18 
5월 21일
18 
5월 23일
18 
Other values (2)
36 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5월 18일
2nd row5월 18일
3rd row5월 18일
4th row5월 18일
5th row5월 18일

Common Values

ValueCountFrequency (%)
5월 18일 18
14.3%
5월 19일 18
14.3%
5월 20일 18
14.3%
5월 21일 18
14.3%
5월 23일 18
14.3%
5월 24일 18
14.3%
5월 25일 18
14.3%

Length

2023-12-10T15:28:51.123543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:28:51.324980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5월 126
50.0%
18일 18
 
7.1%
19일 18
 
7.1%
20일 18
 
7.1%
21일 18
 
7.1%
23일 18
 
7.1%
24일 18
 
7.1%
25일 18
 
7.1%

지역
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
전국
 
7
서울
 
7
부산
 
7
대구
 
7
인천
 
7
Other values (13)
91 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row서울
3rd row부산
4th row대구
5th row인천

Common Values

ValueCountFrequency (%)
전국 7
 
5.6%
서울 7
 
5.6%
부산 7
 
5.6%
대구 7
 
5.6%
인천 7
 
5.6%
광주 7
 
5.6%
대전 7
 
5.6%
울산 7
 
5.6%
세종 7
 
5.6%
경기 7
 
5.6%
Other values (8) 56
44.4%

Length

2023-12-10T15:28:51.543338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전국 7
 
5.6%
서울 7
 
5.6%
경남 7
 
5.6%
경북 7
 
5.6%
전남 7
 
5.6%
전북 7
 
5.6%
충남 7
 
5.6%
충북 7
 
5.6%
강원 7
 
5.6%
경기 7
 
5.6%
Other values (8) 56
44.4%

신청 가구수 총합
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2088421.2
Minimum109815
Maximum20555632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-10T15:28:51.755413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109815
5-th percentile147772.5
Q1544862.5
median748167
Q31173034.2
95-th percentile13207570
Maximum20555632
Range20445817
Interquartile range (IQR)628171.75

Descriptive statistics

Standard deviation4233125.7
Coefficient of variation (CV)2.0269502
Kurtosis11.936238
Mean2088421.2
Median Absolute Deviation (MAD)302964
Skewness3.5690398
Sum2.6314107 × 108
Variance1.7919353 × 1013
MonotonicityNot monotonic
2023-12-10T15:28:52.010874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15980395 1
 
0.8%
126613 1
 
0.8%
952817 1
 
0.8%
1358986 1
 
0.8%
3865225 1
 
0.8%
20152631 1
 
0.8%
266465 1
 
0.8%
1326739 1
 
0.8%
1096121 1
 
0.8%
746987 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
109815 1
0.8%
115681 1
0.8%
119701 1
0.8%
123162 1
0.8%
126613 1
0.8%
126917 1
0.8%
128453 1
0.8%
205731 1
0.8%
224912 1
0.8%
240187 1
0.8%
ValueCountFrequency (%)
20555632 1
0.8%
20152631 1
0.8%
20099142 1
0.8%
19205820 1
0.8%
18301885 1
0.8%
17275032 1
0.8%
15980395 1
0.8%
4889093 1
0.8%
4770411 1
0.8%
4749578 1
0.8%

현금신청 가구수
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317804.94
Minimum8650
Maximum2860492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-10T15:28:52.263915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8650
5-th percentile14991
Q176166
median149527.5
Q3235593.5
95-th percentile2267581.2
Maximum2860492
Range2851842
Interquartile range (IQR)159427.5

Descriptive statistics

Standard deviation630644.81
Coefficient of variation (CV)1.984377
Kurtosis12.460333
Mean317804.94
Median Absolute Deviation (MAD)75118.5
Skewness3.6978347
Sum40043422
Variance3.9771287 × 1011
MonotonicityNot monotonic
2023-12-10T15:28:52.504724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8652 4
 
3.2%
76166 4
 
3.2%
72658 3
 
2.4%
42828 3
 
2.4%
34013 3
 
2.4%
109918 3
 
2.4%
163907 3
 
2.4%
118703 3
 
2.4%
147917 3
 
2.4%
406236 3
 
2.4%
Other values (79) 94
74.6%
ValueCountFrequency (%)
8650 2
1.6%
8651 1
 
0.8%
8652 4
3.2%
34008 1
 
0.8%
34011 1
 
0.8%
34012 1
 
0.8%
34013 3
2.4%
34025 1
 
0.8%
42826 2
1.6%
42827 2
1.6%
ValueCountFrequency (%)
2860492 1
0.8%
2860423 1
0.8%
2860410 1
0.8%
2860330 1
0.8%
2860169 1
0.8%
2860003 1
0.8%
2859884 1
0.8%
490673 1
0.8%
490664 2
1.6%
490660 1
0.8%

신용·체크카드 신청 가구수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1510912.8
Minimum99428
Maximum14300661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-10T15:28:52.759223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99428
5-th percentile124165.5
Q1376378.75
median503320.5
Q3802630.5
95-th percentile10175983
Maximum14300661
Range14201233
Interquartile range (IQR)426251.75

Descriptive statistics

Standard deviation3075569.9
Coefficient of variation (CV)2.0355707
Kurtosis11.211601
Mean1510912.8
Median Absolute Deviation (MAD)179711.5
Skewness3.4689208
Sum1.9037502 × 108
Variance9.4591304 × 1012
MonotonicityNot monotonic
2023-12-10T15:28:53.008385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12339869 1
 
0.8%
109571 1
 
0.8%
611294 1
 
0.8%
882121 1
 
0.8%
2962307 1
 
0.8%
14148441 1
 
0.8%
197780 1
 
0.8%
853417 1
 
0.8%
675225 1
 
0.8%
387017 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
99428 1
0.8%
103619 1
0.8%
106011 1
0.8%
107843 1
0.8%
109571 1
0.8%
109875 1
0.8%
110648 1
0.8%
164718 1
0.8%
177007 1
0.8%
185288 1
0.8%
ValueCountFrequency (%)
14300661 1
0.8%
14148441 1
0.8%
14107818 1
0.8%
13793302 1
0.8%
13465271 1
0.8%
13032146 1
0.8%
12339869 1
0.8%
3684326 1
0.8%
3637201 1
0.8%
3620960 1
0.8%

지역사랑상품권 신청 가구수
Real number (ℝ)

HIGH CORRELATION 

Distinct114
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107992.79
Minimum2
Maximum1345985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-10T15:28:53.254236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.5
Q18083.5
median24611
Q394132.25
95-th percentile401876.25
Maximum1345985
Range1345983
Interquartile range (IQR)86048.75

Descriptive statistics

Standard deviation236444.32
Coefficient of variation (CV)2.1894453
Kurtosis15.804807
Mean107992.79
Median Absolute Deviation (MAD)24603
Skewness3.8931338
Sum13607092
Variance5.5905916 × 1010
MonotonicityNot monotonic
2023-12-10T15:28:53.512258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7
 
5.6%
11 3
 
2.4%
4 3
 
2.4%
7 2
 
1.6%
42371 2
 
1.6%
417980 1
 
0.8%
1261460 1
 
0.8%
13515 1
 
0.8%
113488 1
 
0.8%
124726 1
 
0.8%
Other values (104) 104
82.5%
ValueCountFrequency (%)
2 7
5.6%
4 3
2.4%
5 1
 
0.8%
7 2
 
1.6%
9 1
 
0.8%
10 1
 
0.8%
11 3
2.4%
59 1
 
0.8%
60 1
 
0.8%
134 1
 
0.8%
ValueCountFrequency (%)
1345985 1
0.8%
1261460 1
0.8%
1254670 1
0.8%
1049382 1
0.8%
845075 1
0.8%
628994 1
0.8%
417980 1
0.8%
353565 1
0.8%
338450 1
0.8%
336233 1
0.8%

선불카드 신청 가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct113
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151710.67
Minimum0
Maximum2048494
Zeros8
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-10T15:28:53.763865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113869.75
median39176
Q3120021
95-th percentile496629
Maximum2048494
Range2048494
Interquartile range (IQR)106151.25

Descriptive statistics

Standard deviation342911.14
Coefficient of variation (CV)2.2602969
Kurtosis18.302585
Mean151710.67
Median Absolute Deviation (MAD)35814
Skewness4.1799508
Sum19115544
Variance1.1758805 × 1011
MonotonicityNot monotonic
2023-12-10T15:28:54.006510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
6.3%
1 4
 
3.2%
70364 2
 
1.6%
34665 2
 
1.6%
8379 2
 
1.6%
362662 1
 
0.8%
1882307 1
 
0.8%
238028 1
 
0.8%
71809 1
 
0.8%
38365 1
 
0.8%
Other values (103) 103
81.7%
ValueCountFrequency (%)
0 8
6.3%
1 4
3.2%
2 1
 
0.8%
5 1
 
0.8%
1603 1
 
0.8%
3352 1
 
0.8%
3372 1
 
0.8%
4980 1
 
0.8%
5396 1
 
0.8%
6382 1
 
0.8%
ValueCountFrequency (%)
2048494 1
0.8%
1882307 1
0.8%
1876244 1
0.8%
1502806 1
0.8%
1131370 1
0.8%
753889 1
0.8%
504021 1
0.8%
474453 1
0.8%
474328 1
0.8%
381837 1
0.8%

신청 금액 총합
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1315293.8
Minimum75897
Maximum12963974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-10T15:28:54.233706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75897
5-th percentile98837
Q1342789.75
median468035.5
Q3767057.5
95-th percentile8251185.5
Maximum12963974
Range12888077
Interquartile range (IQR)424267.75

Descriptive statistics

Standard deviation2661069.9
Coefficient of variation (CV)2.0231752
Kurtosis12.079854
Mean1315293.8
Median Absolute Deviation (MAD)179151.5
Skewness3.5915034
Sum1.6572702 × 108
Variance7.0812928 × 1012
MonotonicityNot monotonic
2023-12-10T15:28:54.490928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10022095 1
 
0.8%
87017 1
 
0.8%
626872 1
 
0.8%
871374 1
 
0.8%
2455669 1
 
0.8%
12713558 1
 
0.8%
170281 1
 
0.8%
862392 1
 
0.8%
683674 1
 
0.8%
457635 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
75897 1
0.8%
79755 1
0.8%
82419 1
0.8%
84725 1
0.8%
87017 1
0.8%
87227 1
0.8%
88232 1
0.8%
130652 1
0.8%
143207 1
0.8%
153178 1
0.8%
ValueCountFrequency (%)
12963974 1
0.8%
12713558 1
0.8%
12679845 1
0.8%
12106831 1
0.8%
11520330 1
0.8%
10856880 1
0.8%
10022095 1
0.8%
2938457 1
0.8%
2868196 1
0.8%
2855476 1
0.8%

평균 신청 금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean639700.98
Minimum597522.7
Maximum691135.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-10T15:28:54.733480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum597522.7
5-th percentile601216.48
Q1626470.58
median635323.76
Q3654681.2
95-th percentile686061.01
Maximum691135.09
Range93612.394
Interquartile range (IQR)28210.622

Descriptive statistics

Standard deviation22724.406
Coefficient of variation (CV)0.035523482
Kurtosis-0.22350485
Mean639700.98
Median Absolute Deviation (MAD)15086.862
Skewness0.40177993
Sum80602323
Variance5.1639864 × 108
MonotonicityNot monotonic
2023-12-10T15:28:55.325974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
627149.3915 1
 
0.8%
687267.5002 1
 
0.8%
657914.3739 1
 
0.8%
641194.2434 1
 
0.8%
635323.6875 1
 
0.8%
630863.4342 1
 
0.8%
639037.0217 1
 
0.8%
650008.7809 1
 
0.8%
623721.2862 1
 
0.8%
612641.1838 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
597522.6967 1
0.8%
598590.5239 1
0.8%
599327.429 1
0.8%
599971.1143 1
0.8%
600613.8228 1
0.8%
601022.93 1
0.8%
601206.2545 1
0.8%
601247.1462 1
0.8%
602623.4555 1
0.8%
606508.0818 1
0.8%
ValueCountFrequency (%)
691135.0908 1
0.8%
689439.0609 1
0.8%
688540.6137 1
0.8%
687915.1037 1
0.8%
687275.9362 1
0.8%
687267.5002 1
0.8%
686881.5831 1
0.8%
683599.3081 1
0.8%
682242.7125 1
0.8%
681117.8807 1
0.8%

Interactions

2023-12-10T15:28:49.583164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:42.598561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:43.798174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:44.877802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:45.996087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:47.119250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:48.507509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:49.731584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:42.784703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:43.974466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:45.045927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:46.188578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:47.642264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:48.662847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:49.879101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:42.969759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:44.123751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:45.213743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:46.362609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:47.794323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:48.818626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:50.028764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:43.190130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:44.292490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:45.385040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:46.519584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:47.962539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:48.997851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:50.172996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:43.353187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:44.470057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:45.563333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:46.673550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:48.093335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:49.154340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:50.325073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:43.505119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:44.615358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:45.710312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:46.805021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:48.222935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:49.296329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:50.469672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:43.649107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:44.750815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:45.854158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:46.961819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:48.373006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:28:49.444081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:28:55.473942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자지역신청 가구수 총합현금신청 가구수신용·체크카드 신청 가구수지역사랑상품권 신청 가구수선불카드 신청 가구수신청 금액 총합평균 신청 금액
일자1.0000.0000.0000.0000.0000.0000.0000.0000.000
지역0.0001.0000.9301.0000.8990.7680.6970.9160.995
신청 가구수 총합0.0000.9301.0001.0000.9280.9450.8501.0000.588
현금신청 가구수0.0001.0001.0001.0001.0000.8450.8111.0000.796
신용·체크카드 신청 가구수0.0000.8990.9281.0001.0000.8680.7340.9230.604
지역사랑상품권 신청 가구수0.0000.7680.9450.8450.8681.0000.9380.9580.465
선불카드 신청 가구수0.0000.6970.8500.8110.7340.9381.0000.8530.258
신청 금액 총합0.0000.9161.0001.0000.9230.9580.8531.0000.557
평균 신청 금액0.0000.9950.5880.7960.6040.4650.2580.5571.000
2023-12-10T15:28:55.666537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자지역
일자1.0000.000
지역0.0001.000
2023-12-10T15:28:55.819494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청 가구수 총합현금신청 가구수신용·체크카드 신청 가구수지역사랑상품권 신청 가구수선불카드 신청 가구수신청 금액 총합평균 신청 금액일자지역
신청 가구수 총합1.0000.9230.9720.6200.7100.999-0.3470.0000.625
현금신청 가구수0.9231.0000.8530.5430.7510.912-0.5710.0000.937
신용·체크카드 신청 가구수0.9720.8531.0000.5650.6550.977-0.2360.0000.692
지역사랑상품권 신청 가구수0.6200.5430.5651.0000.1820.614-0.4720.0000.437
선불카드 신청 가구수0.7100.7510.6550.1821.0000.706-0.3360.0000.382
신청 금액 총합0.9990.9120.9770.6140.7061.000-0.3200.0000.599
평균 신청 금액-0.347-0.571-0.236-0.472-0.336-0.3201.0000.0000.835
일자0.0000.0000.0000.0000.0000.0000.0001.0000.000
지역0.6250.9370.6920.4370.3820.5990.8350.0001.000

Missing values

2023-12-10T15:28:50.660880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:28:50.896687image/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

일자지역신청 가구수 총합현금신청 가구수신용·체크카드 신청 가구수지역사랑상품권 신청 가구수선불카드 신청 가구수신청 금액 총합평균 신청 금액
05월 18일전국1598039528598841233986941798036266210022095627149.3915
15월 18일서울3165971405894265054512405971272000502631876.2869
25월 18일부산105128523915576077047750883669533636871.0673
35월 18일대구7259311479065464461154020039474636653830.736
45월 18일인천9725921441687084501199695643043661164.1881
55월 18일광주4326487616034835581321282905653891.8474
65월 18일대전4918357263941197038543372319884650388.8499
75월 18일울산33875442826281532214394231572683599.3081
85월 18일세종109815865099428134160375897691135.0908
95월 18일경기38939294906493195654148328592982330869598590.5239
일자지역신청 가구수 총합현금신청 가구수신용·체크카드 신청 가구수지역사랑상품권 신청 가구수선불카드 신청 가구수신청 금액 총합평균 신청 금액
1165월 25일세종128453865211064811914288232686881.5831
1175월 25일경기488909349067336843263535653605292938457601022.93
1185월 25일강원64608911870339161010692628850399876618917.8271
1195월 25일충북6792631099254437369120834394428570630933.8209
1205월 25일충남90003115113960545242371101069566553629481.6512
1215월 25일전북73433216391541743019662133325461435628373.8146
1225월 25일전남77974719688339377114688642207478898614171.0067
1235월 25일경북112102123562368320511970782486699630624100.7082
1245월 25일경남136324522178186442114141262902885900649846.5059
1255월 25일제주27149234025200992936466173368638574.9856