Overview

Dataset statistics

Number of variables3
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory699.0 B
Average record size in memory33.3 B

Variable types

Numeric3

Dataset

Description최근10년간 서울, 부산지역 자살현황
Author경찰청
URLhttps://www.data.go.kr/data/15062081/fileData.do

Alerts

연도 is highly overall correlated with 서울건수 and 1 other fieldsHigh correlation
서울건수 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
부산건수 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
연도 has unique valuesUnique
서울건수 has unique valuesUnique
부산건수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:23:31.286486
Analysis finished2023-12-12 05:23:32.843591
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2008
Minimum1998
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:23:32.921639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1998
5-th percentile1999
Q12003
median2008
Q32013
95-th percentile2017
Maximum2018
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.0030900582
Kurtosis-1.2
Mean2008
Median Absolute Deviation (MAD)5
Skewness0
Sum42168
Variance38.5
MonotonicityStrictly increasing
2023-12-12T14:23:33.091246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1998 1
 
4.8%
1999 1
 
4.8%
2018 1
 
4.8%
2017 1
 
4.8%
2016 1
 
4.8%
2015 1
 
4.8%
2014 1
 
4.8%
2013 1
 
4.8%
2012 1
 
4.8%
2011 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1998 1
4.8%
1999 1
4.8%
2000 1
4.8%
2001 1
4.8%
2002 1
4.8%
2003 1
4.8%
2004 1
4.8%
2005 1
4.8%
2006 1
4.8%
2007 1
4.8%
ValueCountFrequency (%)
2018 1
4.8%
2017 1
4.8%
2016 1
4.8%
2015 1
4.8%
2014 1
4.8%
2013 1
4.8%
2012 1
4.8%
2011 1
4.8%
2010 1
4.8%
2009 1
4.8%

서울건수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2366.5238
Minimum1992
Maximum2899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:23:33.236247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1992
5-th percentile2032
Q12226
median2382
Q32497
95-th percentile2598
Maximum2899
Range907
Interquartile range (IQR)271

Descriptive statistics

Standard deviation207.55159
Coefficient of variation (CV)0.087703148
Kurtosis1.005326
Mean2366.5238
Median Absolute Deviation (MAD)124
Skewness0.39312459
Sum49697
Variance43077.662
MonotonicityNot monotonic
2023-12-12T14:23:33.400865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2542 1
 
4.8%
2438 1
 
4.8%
1992 1
 
4.8%
2032 1
 
4.8%
2188 1
 
4.8%
2226 1
 
4.8%
2359 1
 
4.8%
2382 1
 
4.8%
2280 1
 
4.8%
2598 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1992 1
4.8%
2032 1
4.8%
2131 1
4.8%
2188 1
4.8%
2191 1
4.8%
2226 1
4.8%
2280 1
4.8%
2286 1
4.8%
2330 1
4.8%
2359 1
4.8%
ValueCountFrequency (%)
2899 1
4.8%
2598 1
4.8%
2558 1
4.8%
2542 1
4.8%
2506 1
4.8%
2497 1
4.8%
2441 1
4.8%
2438 1
4.8%
2423 1
4.8%
2398 1
4.8%

부산건수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1015.0476
Minimum827
Maximum1306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:23:33.544249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum827
5-th percentile879
Q1938
median1007
Q31090
95-th percentile1145
Maximum1306
Range479
Interquartile range (IQR)152

Descriptive statistics

Standard deviation113.50704
Coefficient of variation (CV)0.11182435
Kurtosis0.57895728
Mean1015.0476
Median Absolute Deviation (MAD)83
Skewness0.55746475
Sum21316
Variance12883.848
MonotonicityNot monotonic
2023-12-12T14:23:33.739285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1105 1
 
4.8%
1090 1
 
4.8%
912 1
 
4.8%
879 1
 
4.8%
894 1
 
4.8%
939 1
 
4.8%
938 1
 
4.8%
988 1
 
4.8%
1007 1
 
4.8%
1061 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
827 1
4.8%
879 1
4.8%
887 1
4.8%
894 1
4.8%
912 1
4.8%
938 1
4.8%
939 1
4.8%
940 1
4.8%
985 1
4.8%
988 1
4.8%
ValueCountFrequency (%)
1306 1
4.8%
1145 1
4.8%
1125 1
4.8%
1105 1
4.8%
1091 1
4.8%
1090 1
4.8%
1075 1
4.8%
1066 1
4.8%
1061 1
4.8%
1056 1
4.8%

Interactions

2023-12-12T14:23:32.387850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:23:31.366208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:23:31.726466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:23:32.502149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:23:31.496101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:23:31.869719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:23:32.591656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:23:31.619795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:23:32.302621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:23:33.836169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도서울건수부산건수
연도1.0000.7460.295
서울건수0.7461.0000.000
부산건수0.2950.0001.000
2023-12-12T14:23:33.961574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도서울건수부산건수
연도1.000-0.618-0.582
서울건수-0.6181.0000.697
부산건수-0.5820.6971.000

Missing values

2023-12-12T14:23:32.710476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:23:32.806398image/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

연도서울건수부산건수
0199825421105
1199924381090
220002398827
3200125581145
4200228991091
5200322861306
6200425061125
720052423940
820062191985
9200723301056
연도서울건수부산건수
11200924971075
12201024411066
13201125981061
14201222801007
1520132382988
1620142359938
1720152226939
1820162188894
1920172032879
2020181992912