Overview

Dataset statistics

Number of variables3
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory861.0 B
Average record size in memory31.9 B

Variable types

Numeric3

Dataset

Description*65세이상 보행 노인 사망 교통사고 현황에 대한 데이터(1992~2018)
Author도로교통공단
URLhttps://www.data.go.kr/data/15094178/fileData.do

Alerts

발생년 is highly overall correlated with 사고건수 and 1 other fieldsHigh correlation
사고건수 is highly overall correlated with 발생년 and 1 other fieldsHigh correlation
사망자수 is highly overall correlated with 발생년 and 1 other fieldsHigh correlation
발생년 has unique valuesUnique
사망자수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:44:20.151879
Analysis finished2023-12-12 03:44:21.586927
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생년
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005
Minimum1992
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T12:44:21.680863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1992
5-th percentile1993.3
Q11998.5
median2005
Q32011.5
95-th percentile2016.7
Maximum2018
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.0039587301
Kurtosis-1.2
Mean2005
Median Absolute Deviation (MAD)7
Skewness0
Sum54135
Variance63
MonotonicityStrictly increasing
2023-12-12T12:44:21.869804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1992 1
 
3.7%
1993 1
 
3.7%
2018 1
 
3.7%
2017 1
 
3.7%
2016 1
 
3.7%
2015 1
 
3.7%
2014 1
 
3.7%
2013 1
 
3.7%
2012 1
 
3.7%
2011 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1992 1
3.7%
1993 1
3.7%
1994 1
3.7%
1995 1
3.7%
1996 1
3.7%
1997 1
3.7%
1998 1
3.7%
1999 1
3.7%
2000 1
3.7%
2001 1
3.7%
ValueCountFrequency (%)
2018 1
3.7%
2017 1
3.7%
2016 1
3.7%
2015 1
3.7%
2014 1
3.7%
2013 1
3.7%
2012 1
3.7%
2011 1
3.7%
2010 1
3.7%
2009 1
3.7%

사고건수
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1015.6667
Minimum839
Maximum1277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T12:44:22.080863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum839
5-th percentile866.9
Q1929.5
median987
Q31074.5
95-th percentile1252.3
Maximum1277
Range438
Interquartile range (IQR)145

Descriptive statistics

Standard deviation121.83722
Coefficient of variation (CV)0.11995788
Kurtosis-0.15864578
Mean1015.6667
Median Absolute Deviation (MAD)83
Skewness0.77467233
Sum27423
Variance14844.308
MonotonicityNot monotonic
2023-12-12T12:44:22.245765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
958 2
 
7.4%
1255 1
 
3.7%
839 1
 
3.7%
902 1
 
3.7%
863 1
 
3.7%
904 1
 
3.7%
913 1
 
3.7%
949 1
 
3.7%
876 1
 
3.7%
965 1
 
3.7%
Other values (16) 16
59.3%
ValueCountFrequency (%)
839 1
3.7%
863 1
3.7%
876 1
3.7%
901 1
3.7%
902 1
3.7%
904 1
3.7%
913 1
3.7%
946 1
3.7%
949 1
3.7%
958 2
7.4%
ValueCountFrequency (%)
1277 1
3.7%
1255 1
3.7%
1246 1
3.7%
1197 1
3.7%
1129 1
3.7%
1087 1
3.7%
1075 1
3.7%
1074 1
3.7%
1067 1
3.7%
1064 1
3.7%

사망자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1019.7407
Minimum842
Maximum1283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T12:44:22.389643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum842
5-th percentile871.1
Q1935
median989
Q31077.5
95-th percentile1257.1
Maximum1283
Range441
Interquartile range (IQR)142.5

Descriptive statistics

Standard deviation122.54814
Coefficient of variation (CV)0.12017578
Kurtosis-0.14629162
Mean1019.7407
Median Absolute Deviation (MAD)83
Skewness0.78763958
Sum27533
Variance15018.046
MonotonicityNot monotonic
2023-12-12T12:44:22.569000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1258 1
 
3.7%
1130 1
 
3.7%
842 1
 
3.7%
906 1
 
3.7%
866 1
 
3.7%
909 1
 
3.7%
919 1
 
3.7%
951 1
 
3.7%
959 1
 
3.7%
883 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
842 1
3.7%
866 1
3.7%
883 1
3.7%
903 1
3.7%
906 1
3.7%
909 1
3.7%
919 1
3.7%
951 1
3.7%
952 1
3.7%
959 1
3.7%
ValueCountFrequency (%)
1283 1
3.7%
1258 1
3.7%
1255 1
3.7%
1204 1
3.7%
1130 1
3.7%
1094 1
3.7%
1078 1
3.7%
1077 1
3.7%
1073 1
3.7%
1070 1
3.7%

Interactions

2023-12-12T12:44:20.751287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:44:20.237250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:44:20.494344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:44:20.869079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:44:20.332521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:44:20.575860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:44:20.970558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:44:20.409884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:44:20.658736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:44:22.690901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생년사고건수사망자수
발생년1.0000.3860.386
사고건수0.3861.0001.000
사망자수0.3861.0001.000
2023-12-12T12:44:22.813240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생년사고건수사망자수
발생년1.000-0.900-0.899
사고건수-0.9001.0000.999
사망자수-0.8990.9991.000

Missing values

2023-12-12T12:44:21.434586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:44:21.545352image/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

발생년사고건수사망자수
0199212551258
1199311291130
2199410751077
3199510641070
4199612771283
5199711971204
61998987989
7199910871094
8200012461255
9200110201022
발생년사고건수사망자수
172009946952
182010965966
192011876883
202012958959
212013949951
222014913919
232015904909
242016863866
252017902906
262018839842