Overview

Dataset statistics

Number of variables4
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory35.1 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description2022년 서울특별시경찰청 관할 31개 경찰서별 살인 및 폭력 죄종 범죄자 정신상태(주취) 현황으로 년도, 관서, 죄종, 범죄자수 순서대로 파악한 통계입니다.
Author경찰청 서울특별시경찰청
URLhttps://www.data.go.kr/data/3075831/fileData.do

Alerts

년도 has constant value ""Constant
범죄자수(인원) is highly overall correlated with 죄종High correlation
죄종 is highly overall correlated with 범죄자수(인원)High correlation
범죄자수(인원) has 13 (21.0%) zerosZeros

Reproduction

Analysis started2024-04-06 08:15:25.528779
Analysis finished2024-04-06 08:15:26.727212
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
2022년
62 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022년
2nd row2022년
3rd row2022년
4th row2022년
5th row2022년

Common Values

ValueCountFrequency (%)
2022년 62
100.0%

Length

2024-04-06T17:15:26.851691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:27.073766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022년 62
100.0%

관서
Text

Distinct31
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-04-06T17:15:27.544475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.1290323
Min length2

Characters and Unicode

Total characters132
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중부
2nd row중부
3rd row종로
4th row종로
5th row남대문
ValueCountFrequency (%)
중부 2
 
3.2%
중랑 2
 
3.2%
도봉 2
 
3.2%
은평 2
 
3.2%
방배 2
 
3.2%
노원 2
 
3.2%
송파 2
 
3.2%
양천 2
 
3.2%
서초 2
 
3.2%
구로 2
 
3.2%
Other values (21) 42
67.7%
2024-04-06T17:15:28.348967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 10
 
7.6%
동 8
 
6.1%
강 8
 
6.1%
대 6
 
4.5%
문 6
 
4.5%
성 4
 
3.0%
천 4
 
3.0%
부 4
 
3.0%
포 4
 
3.0%
북 4
 
3.0%
Other values (33) 74
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 10
 
7.6%
동 8
 
6.1%
강 8
 
6.1%
대 6
 
4.5%
문 6
 
4.5%
성 4
 
3.0%
천 4
 
3.0%
부 4
 
3.0%
포 4
 
3.0%
북 4
 
3.0%
Other values (33) 74
56.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 10
 
7.6%
동 8
 
6.1%
강 8
 
6.1%
대 6
 
4.5%
문 6
 
4.5%
성 4
 
3.0%
천 4
 
3.0%
부 4
 
3.0%
포 4
 
3.0%
북 4
 
3.0%
Other values (33) 74
56.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 10
 
7.6%
동 8
 
6.1%
강 8
 
6.1%
대 6
 
4.5%
문 6
 
4.5%
성 4
 
3.0%
천 4
 
3.0%
부 4
 
3.0%
포 4
 
3.0%
북 4
 
3.0%
Other values (33) 74
56.1%

죄종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
살인
31 
폭력
31 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row살인
2nd row폭력
3rd row살인
4th row폭력
5th row살인

Common Values

ValueCountFrequency (%)
살인 31
50.0%
폭력 31
50.0%

Length

2024-04-06T17:15:28.626427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:15:28.836399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
살인 31
50.0%
폭력 31
50.0%

범죄자수(인원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct36
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean228.3871
Minimum0
Maximum866
Zeros13
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-06T17:15:29.039940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median49
Q3405
95-th percentile762.35
Maximum866
Range866
Interquartile range (IQR)404

Descriptive statistics

Standard deviation277.66228
Coefficient of variation (CV)1.2157529
Kurtosis-0.64737741
Mean228.3871
Median Absolute Deviation (MAD)49
Skewness0.86452955
Sum14160
Variance77096.34
MonotonicityNot monotonic
2024-04-06T17:15:29.330794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 13
21.0%
1 10
 
16.1%
3 3
 
4.8%
2 3
 
4.8%
4 2
 
3.2%
411 1
 
1.6%
764 1
 
1.6%
769 1
 
1.6%
556 1
 
1.6%
217 1
 
1.6%
Other values (26) 26
41.9%
ValueCountFrequency (%)
0 13
21.0%
1 10
16.1%
2 3
 
4.8%
3 3
 
4.8%
4 2
 
3.2%
94 1
 
1.6%
103 1
 
1.6%
217 1
 
1.6%
219 1
 
1.6%
228 1
 
1.6%
ValueCountFrequency (%)
866 1
1.6%
820 1
1.6%
769 1
1.6%
764 1
1.6%
731 1
1.6%
688 1
1.6%
669 1
1.6%
654 1
1.6%
642 1
1.6%
620 1
1.6%

Interactions

2024-04-06T17:15:26.220869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:15:29.467518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관서죄종범죄자수(인원)
관서1.0000.0000.000
죄종0.0001.0001.000
범죄자수(인원)0.0001.0001.000
2024-04-06T17:15:29.613947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
범죄자수(인원)죄종
범죄자수(인원)1.0000.931
죄종0.9311.000

Missing values

2024-04-06T17:15:26.519116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:15:26.661916image/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

년도관서죄종범죄자수(인원)
02022년중부살인0
12022년중부폭력315
22022년종로살인0
32022년종로폭력228
42022년남대문살인0
52022년남대문폭력103
62022년서대문살인3
72022년서대문폭력268
82022년혜화살인0
92022년혜화폭력219
년도관서죄종범죄자수(인원)
522022년노원살인0
532022년노원폭력588
542022년방배살인0
552022년방배폭력94
562022년은평살인1
572022년은평폭력276
582022년도봉살인1
592022년도봉폭력338
602022년수서살인1
612022년수서폭력252