Overview

Dataset statistics

Number of variables9
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory84.6 B

Variable types

Numeric7
DateTime2

Dataset

Description해양수산부에서는 수출입년집계 정보를 제공하고 있습니다."통계년도","전체수출금액","수산물수출금액","수산물수출퍼센트","전체수입금액","수산물수입금액","수산물수입퍼센트","최초생성시점","최종변경시점" 입니다.
Author해양수산부
URLhttps://www.data.go.kr/data/15126750/fileData.do

Alerts

통계년도 is highly overall correlated with 전체수출금액 and 3 other fieldsHigh correlation
전체수출금액 is highly overall correlated with 통계년도 and 3 other fieldsHigh correlation
수산물수출금액 is highly overall correlated with 통계년도 and 3 other fieldsHigh correlation
수산물수출퍼센트 is highly overall correlated with 수산물수입퍼센트High correlation
전체수입금액 is highly overall correlated with 통계년도 and 3 other fieldsHigh correlation
수산물수입금액 is highly overall correlated with 통계년도 and 3 other fieldsHigh correlation
수산물수입퍼센트 is highly overall correlated with 수산물수출퍼센트High correlation
통계년도 has unique valuesUnique
전체수출금액 has unique valuesUnique
수산물수출금액 has unique valuesUnique
전체수입금액 has unique valuesUnique
수산물수입금액 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:49:27.213958
Analysis finished2024-03-14 10:49:39.215981
Duration12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계년도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011
Minimum2000
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T19:49:39.323206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001.1
Q12005.5
median2011
Q32016.5
95-th percentile2020.9
Maximum2022
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.0033726156
Kurtosis-1.2
Mean2011
Median Absolute Deviation (MAD)6
Skewness0
Sum46253
Variance46
MonotonicityStrictly increasing
2024-03-14T19:49:39.527274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2000 1
 
4.3%
2001 1
 
4.3%
2022 1
 
4.3%
2021 1
 
4.3%
2020 1
 
4.3%
2019 1
 
4.3%
2018 1
 
4.3%
2017 1
 
4.3%
2016 1
 
4.3%
2015 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
2000 1
4.3%
2001 1
4.3%
2002 1
4.3%
2003 1
4.3%
2004 1
4.3%
2005 1
4.3%
2006 1
4.3%
2007 1
4.3%
2008 1
4.3%
2009 1
4.3%
ValueCountFrequency (%)
2022 1
4.3%
2021 1
4.3%
2020 1
4.3%
2019 1
4.3%
2018 1
4.3%
2017 1
4.3%
2016 1
4.3%
2015 1
4.3%
2014 1
4.3%
2013 1
4.3%

전체수출금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.341291 × 108
Minimum1.5043914 × 108
Maximum6.8358476 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T19:49:39.737717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5043914 × 108
5-th percentile1.6345023 × 108
Q13.049418 × 108
median4.9542594 × 108
Q35.5742304 × 108
95-th percentile6.404463 × 108
Maximum6.8358476 × 108
Range5.3314562 × 108
Interquartile range (IQR)2.5248125 × 108

Descriptive statistics

Standard deviation1.6585786 × 108
Coefficient of variation (CV)0.38204732
Kurtosis-1.0874682
Mean4.341291 × 108
Median Absolute Deviation (MAD)1.0943372 × 108
Skewness-0.4649357
Sum9.9849694 × 109
Variance2.750883 × 1016
MonotonicityNot monotonic
2024-03-14T19:49:39.956571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
172267510 1
 
4.3%
150439144 1
 
4.3%
683584760 1
 
4.3%
644400368 1
 
4.3%
512498038 1
 
4.3%
542232610 1
 
4.3%
604859657 1
 
4.3%
573694421 1
 
4.3%
495425940 1
 
4.3%
526756503 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
150439144 1
4.3%
162470528 1
4.3%
172267510 1
4.3%
193817443 1
4.3%
253844672 1
4.3%
284418743 1
4.3%
325464848 1
4.3%
363533561 1
4.3%
371489086 1
4.3%
422007328 1
4.3%
ValueCountFrequency (%)
683584760 1
4.3%
644400368 1
4.3%
604859657 1
4.3%
573694421 1
4.3%
572664607 1
4.3%
559632434 1
4.3%
555213656 1
4.3%
547869792 1
4.3%
542232610 1
4.3%
526756503 1
4.3%

수산물수출금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1872396.3
Minimum1088948
Maximum3149850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T19:49:40.337389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1088948
5-th percentile1132490
Q11276128.5
median1924790
Q32320793
95-th percentile2793335.2
Maximum3149850
Range2060902
Interquartile range (IQR)1044664.5

Descriptive statistics

Standard deviation600165.33
Coefficient of variation (CV)0.32053328
Kurtosis-0.90370595
Mean1872396.3
Median Absolute Deviation (MAD)452230
Skewness0.30656032
Sum43065115
Variance3.6019842 × 1011
MonotonicityNot monotonic
2024-03-14T19:49:40.720988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1504470 1
 
4.3%
1273619 1
 
4.3%
3149850 1
 
4.3%
2825343 1
 
4.3%
2312271 1
 
4.3%
2505265 1
 
4.3%
2377020 1
 
4.3%
2329315 1
 
4.3%
2127796 1
 
4.3%
1924790 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1088948 1
4.3%
1129385 1
4.3%
1160435 1
4.3%
1193117 1
4.3%
1225832 1
4.3%
1273619 1
4.3%
1278638 1
4.3%
1454635 1
4.3%
1504470 1
4.3%
1511230 1
4.3%
ValueCountFrequency (%)
3149850 1
4.3%
2825343 1
4.3%
2505265 1
4.3%
2377020 1
4.3%
2364352 1
4.3%
2329315 1
4.3%
2312271 1
4.3%
2308155 1
4.3%
2154950 1
4.3%
2127796 1
4.3%

수산물수출퍼센트
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46521739
Minimum0.3
Maximum0.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T19:49:41.054226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.3
Q10.4
median0.4
Q30.5
95-th percentile0.79
Maximum0.9
Range0.6
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.15257992
Coefficient of variation (CV)0.32797553
Kurtosis2.5085521
Mean0.46521739
Median Absolute Deviation (MAD)0
Skewness1.6595478
Sum10.7
Variance0.023280632
MonotonicityNot monotonic
2024-03-14T19:49:41.403650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.4 12
52.2%
0.5 4
 
17.4%
0.3 3
 
13.0%
0.9 1
 
4.3%
0.8 1
 
4.3%
0.7 1
 
4.3%
0.6 1
 
4.3%
ValueCountFrequency (%)
0.3 3
 
13.0%
0.4 12
52.2%
0.5 4
 
17.4%
0.6 1
 
4.3%
0.7 1
 
4.3%
0.8 1
 
4.3%
0.9 1
 
4.3%
ValueCountFrequency (%)
0.9 1
 
4.3%
0.8 1
 
4.3%
0.7 1
 
4.3%
0.6 1
 
4.3%
0.5 4
 
17.4%
0.4 12
52.2%
0.3 3
 
13.0%

전체수입금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0104093 × 108
Minimum1.4109782 × 108
Maximum7.3136966 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T19:49:41.758340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4109782 × 108
5-th percentile1.5296164 × 108
Q12.8531045 × 108
median4.3527474 × 108
Q35.1758499 × 108
95-th percentile6.0680435 × 108
Maximum7.3136966 × 108
Range5.9027184 × 108
Interquartile range (IQR)2.3227455 × 108

Descriptive statistics

Standard deviation1.5924489 × 108
Coefficient of variation (CV)0.3970789
Kurtosis-0.58020373
Mean4.0104093 × 108
Median Absolute Deviation (MAD)90239769
Skewness-0.1286539
Sum9.2239414 × 109
Variance2.5358936 × 1016
MonotonicityNot monotonic
2024-03-14T19:49:42.127493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
160481018 1
 
4.3%
141097821 1
 
4.3%
731369657 1
 
4.3%
615093447 1
 
4.3%
467632763 1
 
4.3%
503342947 1
 
4.3%
532202428 1
 
4.3%
478478296 1
 
4.3%
406192887 1
 
4.3%
436498973 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
141097821 1
4.3%
152126153 1
4.3%
160481018 1
4.3%
178826657 1
4.3%
224462687 1
4.3%
261238264 1
4.3%
309382632 1
4.3%
323084521 1
4.3%
356845733 1
4.3%
406192887 1
4.3%
ValueCountFrequency (%)
731369657 1
4.3%
615093447 1
4.3%
532202428 1
4.3%
525514506 1
4.3%
524413090 1
4.3%
519584473 1
4.3%
515585515 1
4.3%
503342947 1
4.3%
478478296 1
4.3%
467632763 1
4.3%

수산물수입금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3857803.3
Minimum1410598
Maximum6958780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T19:49:42.484047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1410598
5-th percentile1671976.5
Q12576461
median3902342
Q35033670.5
95-th percentile6176710.2
Maximum6958780
Range5548182
Interquartile range (IQR)2457209.5

Descriptive statistics

Standard deviation1617252.4
Coefficient of variation (CV)0.41921587
Kurtosis-1.0193503
Mean3857803.3
Median Absolute Deviation (MAD)1365987
Skewness0.24291571
Sum88729476
Variance2.6155053 × 1012
MonotonicityNot monotonic
2024-03-14T19:49:42.870758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1410598 1
 
4.3%
1648372 1
 
4.3%
6958780 1
 
4.3%
6182432 1
 
4.3%
5621145 1
 
4.3%
5793895 1
 
4.3%
6125214 1
 
4.3%
5268329 1
 
4.3%
4799012 1
 
4.3%
4564243 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1410598 1
4.3%
1648372 1
4.3%
1884417 1
4.3%
1958017 1
4.3%
2261356 1
4.3%
2383574 1
4.3%
2769348 1
4.3%
2895495 1
4.3%
3056368 1
4.3%
3097450 1
4.3%
ValueCountFrequency (%)
6958780 1
4.3%
6182432 1
4.3%
6125214 1
4.3%
5793895 1
4.3%
5621145 1
4.3%
5268329 1
4.3%
4799012 1
4.3%
4564243 1
4.3%
4514717 1
4.3%
4191944 1
4.3%

수산물수입퍼센트
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0086957
Minimum0.7
Maximum1.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size335.0 B
2024-03-14T19:49:43.227851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile0.8
Q10.9
median1
Q31.15
95-th percentile1.2
Maximum1.7
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.21513853
Coefficient of variation (CV)0.21328388
Kurtosis3.5906718
Mean1.0086957
Median Absolute Deviation (MAD)0.1
Skewness1.466977
Sum23.2
Variance0.046284585
MonotonicityNot monotonic
2024-03-14T19:49:43.567879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.9 6
26.1%
1.2 5
21.7%
1.0 4
17.4%
0.8 4
17.4%
1.1 2
 
8.7%
1.7 1
 
4.3%
0.7 1
 
4.3%
ValueCountFrequency (%)
0.7 1
 
4.3%
0.8 4
17.4%
0.9 6
26.1%
1.0 4
17.4%
1.1 2
 
8.7%
1.2 5
21.7%
1.7 1
 
4.3%
ValueCountFrequency (%)
1.7 1
 
4.3%
1.2 5
21.7%
1.1 2
 
8.7%
1.0 4
17.4%
0.9 6
26.1%
0.8 4
17.4%
0.7 1
 
4.3%

최초생성시점
Date

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
Minimum2017-07-06 00:00:00
Maximum2023-05-19 00:00:00
2024-03-14T19:49:43.815935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:43.991986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

최종변경시점
Date

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size312.0 B
Minimum2017-07-06 00:00:00
Maximum2023-05-19 00:00:00
2024-03-14T19:49:44.169119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:44.344756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

Interactions

2024-03-14T19:49:37.048651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:27.501968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:29.170714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:30.851855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:32.517010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:34.336839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:35.367883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:37.278274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:27.734941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:29.406542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:31.083289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:32.757543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:34.470557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:35.603395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:37.517536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:27.974981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:29.646840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:31.324873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:33.007245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:34.608758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:35.844438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:37.755253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:28.214035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:29.883986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:31.555476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:33.248812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:34.746250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:36.079378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:38.001084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:28.461982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:30.132409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:31.802918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:33.701997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:34.892759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:36.327073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:38.238582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:28.701536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:30.373318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:32.045150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:33.946693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:35.032242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:36.571736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:38.478140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:28.938431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:30.614683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:32.283632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:34.195893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:35.171292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:49:36.812855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:49:44.500323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계년도전체수출금액수산물수출금액수산물수출퍼센트전체수입금액수산물수입금액수산물수입퍼센트최초생성시점최종변경시점
통계년도1.0000.7660.6030.7300.6460.9120.7201.0001.000
전체수출금액0.7661.0000.6480.0000.8900.9370.5790.8730.873
수산물수출금액0.6030.6481.0000.0000.8350.7730.5840.9740.974
수산물수출퍼센트0.7300.0000.0001.0000.0000.5380.8550.3550.355
전체수입금액0.6460.8900.8350.0001.0000.8480.4850.9390.939
수산물수입금액0.9120.9370.7730.5380.8481.0000.6290.8060.806
수산물수입퍼센트0.7200.5790.5840.8550.4850.6291.0000.1690.169
최초생성시점1.0000.8730.9740.3550.9390.8060.1691.0001.000
최종변경시점1.0000.8730.9740.3550.9390.8060.1691.0001.000
2024-03-14T19:49:44.926608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
통계년도전체수출금액수산물수출금액수산물수출퍼센트전체수입금액수산물수입금액수산물수입퍼센트
통계년도1.0000.8990.882-0.2170.8700.9890.173
전체수출금액0.8991.0000.875-0.3420.9770.916-0.101
수산물수출금액0.8820.8751.0000.0010.8670.8830.099
수산물수출퍼센트-0.217-0.3420.0011.000-0.340-0.2510.564
전체수입금액0.8700.9770.867-0.3401.0000.892-0.176
수산물수입금액0.9890.9160.883-0.2510.8921.0000.165
수산물수입퍼센트0.173-0.1010.0990.564-0.1760.1651.000

Missing values

2024-03-14T19:49:38.806329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:49:39.122756image/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

통계년도전체수출금액수산물수출금액수산물수출퍼센트전체수입금액수산물수입금액수산물수입퍼센트최초생성시점최종변경시점
0200017226751015044700.916048101814105980.92017/07/062017/07/06
1200115043914412736190.814109782116483721.72017/07/062017/07/06
2200216247052811604350.715212615318844171.22017/07/062017/07/06
3200319381744311293850.617882665719580171.12017/07/062017/07/06
4200425384467212786380.522446268722613561.02017/07/062017/07/06
5200528441874311931170.426123826423835740.92017/07/062017/07/06
6200632546484810889480.330938263227693480.92017/07/062017/07/06
7200737148908612258320.335684573330563680.92017/07/062017/07/06
8200842200732814546350.343527473730974500.72017/07/062017/07/06
9200936353356115112300.432308452128954950.92017/07/062017/07/06
통계년도전체수출금액수산물수출금액수산물수출퍼센트전체수입금액수산물수입금액수산물수입퍼센트최초생성시점최종변경시점
13201355963243421549500.451558551539023420.82022/02/222022/02/22
14201457266460720675370.452551450645147170.92022/02/222022/02/22
15201552675650319247900.443649897345642431.02022/02/222022/02/22
16201649542594021277960.440619288747990121.22022/02/222022/02/22
17201757369442123293150.447847829652683291.12022/02/222022/02/22
18201860485965723770200.453220242861252141.22022/02/222022/02/22
19201954223261025052650.550334294757938951.22022/02/222022/02/22
20202051249803823122710.546763276356211451.22023/05/192023/05/19
21202164440036828253430.461509344761824321.02023/05/192023/05/19
22202268358476031498500.573136965769587801.02023/05/192023/05/19