Overview

Dataset statistics

Number of variables3
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory27.6 B

Variable types

Numeric2
Categorical1

Dataset

Description난민을 신청한 외국인의 신청 사유별 현황을 연도별로 제공 (신청사유 : 종교, 정치적의견, 특정사회구성원, 인종, 국적, 가족결합, 기타 등) ※ 통계집계 후 제기되는 소송 결과에 따라 일부 수치가 변경될 수 있음
URLhttps://www.data.go.kr/data/15100054/fileData.do

Alerts

건수 has 1 (1.2%) zerosZeros

Reproduction

Analysis started2023-12-12 05:47:05.841828
Analysis finished2023-12-12 05:47:06.340439
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Real number (ℝ)

Distinct12
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.5
Minimum2011
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:47:06.405029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12013.75
median2016.5
Q32019.25
95-th percentile2022
Maximum2022
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4727858
Coefficient of variation (CV)0.0017221849
Kurtosis-1.2174655
Mean2016.5
Median Absolute Deviation (MAD)3
Skewness0
Sum169386
Variance12.060241
MonotonicityIncreasing
2023-12-12T14:47:06.503585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2011 7
8.3%
2012 7
8.3%
2013 7
8.3%
2014 7
8.3%
2015 7
8.3%
2016 7
8.3%
2017 7
8.3%
2018 7
8.3%
2019 7
8.3%
2020 7
8.3%
Other values (2) 14
16.7%
ValueCountFrequency (%)
2011 7
8.3%
2012 7
8.3%
2013 7
8.3%
2014 7
8.3%
2015 7
8.3%
2016 7
8.3%
2017 7
8.3%
2018 7
8.3%
2019 7
8.3%
2020 7
8.3%
ValueCountFrequency (%)
2022 7
8.3%
2021 7
8.3%
2020 7
8.3%
2019 7
8.3%
2018 7
8.3%
2017 7
8.3%
2016 7
8.3%
2015 7
8.3%
2014 7
8.3%
2013 7
8.3%

신청사유
Categorical

Distinct7
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size804.0 B
종교
12 
정치적의견
12 
특정사회구성원
12 
인종
12 
국적
12 
Other values (2)
24 

Length

Max length7
Median length2
Mean length3.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종교
2nd row정치적의견
3rd row특정사회구성원
4th row인종
5th row국적

Common Values

ValueCountFrequency (%)
종교 12
14.3%
정치적의견 12
14.3%
특정사회구성원 12
14.3%
인종 12
14.3%
국적 12
14.3%
가족결합 12
14.3%
기타 12
14.3%

Length

2023-12-12T14:47:06.615990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:47:06.747318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종교 12
14.3%
정치적의견 12
14.3%
특정사회구성원 12
14.3%
인종 12
14.3%
국적 12
14.3%
가족결합 12
14.3%
기타 12
14.3%

건수
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean976.27381
Minimum0
Maximum7010
Zeros1
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size888.0 B
2023-12-12T14:47:06.924915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q1112.25
median429.5
Q31261.5
95-th percentile3696.05
Maximum7010
Range7010
Interquartile range (IQR)1149.25

Descriptive statistics

Standard deviation1403.563
Coefficient of variation (CV)1.4376735
Kurtosis7.3316361
Mean976.27381
Median Absolute Deviation (MAD)370.5
Skewness2.5576159
Sum82007
Variance1969989.1
MonotonicityNot monotonic
2023-12-12T14:47:07.127862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151 2
 
2.4%
7 2
 
2.4%
492 1
 
1.2%
378 1
 
1.2%
118 1
 
1.2%
758 1
 
1.2%
1462 1
 
1.2%
1933 1
 
1.2%
3792 1
 
1.2%
6742 1
 
1.2%
Other values (72) 72
85.7%
ValueCountFrequency (%)
0 1
1.2%
2 1
1.2%
3 1
1.2%
5 1
1.2%
7 2
2.4%
29 1
1.2%
32 1
1.2%
35 1
1.2%
37 1
1.2%
38 1
1.2%
ValueCountFrequency (%)
7010 1
1.2%
6742 1
1.2%
5626 1
1.2%
3792 1
1.2%
3764 1
1.2%
3311 1
1.2%
3272 1
1.2%
2927 1
1.2%
2426 1
1.2%
2340 1
1.2%

Interactions

2023-12-12T14:47:06.078802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:05.916827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:06.153335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:47:05.991002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:47:07.236716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신청사유건수
1.0000.0000.084
신청사유0.0001.0000.441
건수0.0840.4411.000
2023-12-12T14:47:07.336371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수신청사유
1.0000.4110.000
건수0.4111.0000.251
신청사유0.0000.2511.000

Missing values

2023-12-12T14:47:06.249591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:47:06.314481image/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

신청사유건수
02011종교151
12011정치적의견266
22011특정사회구성원55
32011인종83
42011국적0
52011가족결합37
62011기타419
72012종교291
82012정치적의견348
92012특정사회구성원52
신청사유건수
742021국적5
752021가족결합190
762021기타827
772022종교1986
782022정치적의견2340
792022특정사회구성원502
802022인종440
812022국적136
822022가족결합509
832022기타5626