Overview

Dataset statistics

Number of variables3
Number of observations135
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory25.9 B

Variable types

Categorical2
Numeric1

Dataset

Description2022년 5대범죄(살인, 강도, 강간 및 추행, 절도, 폭력) 발생장소별 현황으로 범죄명, 발생장소, 발생건수의 현황을 나타내는 통계입니다.
Author경찰청 서울특별시경찰청
URLhttps://www.data.go.kr/data/15054737/fileData.do

Alerts

발생건수 has 38 (28.1%) zerosZeros

Reproduction

Analysis started2024-03-15 01:40:44.563493
Analysis finished2024-03-15 01:40:45.300532
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

범죄명
Categorical

Distinct5
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
살인
27 
강도
27 
강간.추행
27 
절도
27 
폭력
27 

Length

Max length5
Median length2
Mean length2.6
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
살인 27
20.0%
강도 27
20.0%
강간.추행 27
20.0%
절도 27
20.0%
폭력 27
20.0%

Length

2024-03-15T10:40:45.424568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:40:45.623021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
살인 27
20.0%
강도 27
20.0%
강간.추행 27
20.0%
절도 27
20.0%
폭력 27
20.0%

장소
Categorical

Distinct27
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
아파트,연립다세대
 
5
단독주택
 
5
고속도로
 
5
노상
 
5
상점
 
5
Other values (22)
110 

Length

Max length9
Median length7
Mean length3.7037037
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아파트,연립다세대
2nd row단독주택
3rd row고속도로
4th row노상
5th row상점

Common Values

ValueCountFrequency (%)
아파트,연립다세대 5
 
3.7%
단독주택 5
 
3.7%
고속도로 5
 
3.7%
노상 5
 
3.7%
상점 5
 
3.7%
시장,노점 5
 
3.7%
숙박업소목욕탕 5
 
3.7%
유흥접객업소 5
 
3.7%
사무실 5
 
3.7%
공장 5
 
3.7%
Other values (17) 85
63.0%

Length

2024-03-15T10:40:45.959711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아파트,연립다세대 5
 
3.7%
기타교통수단내 5
 
3.7%
공지 5
 
3.7%
구금장소 5
 
3.7%
부대 5
 
3.7%
해상 5
 
3.7%
산야 5
 
3.7%
종교기관 5
 
3.7%
의료기관 5
 
3.7%
금융기관 5
 
3.7%
Other values (17) 85
63.0%

발생건수
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean669.62222
Minimum0
Maximum16872
Zeros38
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-15T10:40:46.207613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12
Q3254.5
95-th percentile4209.1
Maximum16872
Range16872
Interquartile range (IQR)254.5

Descriptive statistics

Standard deviation2218.5923
Coefficient of variation (CV)3.3132
Kurtosis27.150693
Mean669.62222
Median Absolute Deviation (MAD)12
Skewness4.9068526
Sum90399
Variance4922151.9
MonotonicityNot monotonic
2024-03-15T10:40:46.471658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
28.1%
1 14
 
10.4%
2 4
 
3.0%
5 4
 
3.0%
503 2
 
1.5%
16 2
 
1.5%
578 2
 
1.5%
26 2
 
1.5%
12 2
 
1.5%
4 2
 
1.5%
Other values (62) 63
46.7%
ValueCountFrequency (%)
0 38
28.1%
1 14
 
10.4%
2 4
 
3.0%
4 2
 
1.5%
5 4
 
3.0%
6 1
 
0.7%
7 1
 
0.7%
8 1
 
0.7%
11 1
 
0.7%
12 2
 
1.5%
ValueCountFrequency (%)
16872 1
0.7%
11442 1
0.7%
8991 1
0.7%
8411 1
0.7%
6645 1
0.7%
6302 1
0.7%
5712 1
0.7%
3565 1
0.7%
2886 1
0.7%
1684 1
0.7%

Interactions

2024-03-15T10:40:44.753810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:40:46.646033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
범죄명장소발생건수
범죄명1.0000.0000.110
장소0.0001.0000.069
발생건수0.1100.0691.000
2024-03-15T10:40:46.795278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장소범죄명
장소1.0000.000
범죄명0.0001.000
2024-03-15T10:40:47.080348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생건수범죄명장소
발생건수1.0000.0630.000
범죄명0.0631.0000.000
장소0.0000.0001.000

Missing values

2024-03-15T10:40:45.066537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:40:45.248551image/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

범죄명장소발생건수
0살인아파트,연립다세대30
1살인단독주택26
2살인고속도로0
3살인노상17
4살인상점2
5살인시장,노점0
6살인숙박업소목욕탕0
7살인유흥접객업소5
8살인사무실5
9살인공장0
범죄명장소발생건수
125폭력학교192
126폭력금융기관65
127폭력의료기관356
128폭력종교기관97
129폭력산야16
130폭력해상0
131폭력부대4
132폭력구금장소8
133폭력공지0
134폭력기타8411