Overview

Dataset statistics

Number of variables4
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory36.9 B

Variable types

Categorical3
Numeric1

Dataset

Description2013년~2015년 경기도북부경찰청 의정부서 5대범죄 현황에 대한 데이터로 발생건수, 검거건수, 검거인원입니다.
URLhttps://www.data.go.kr/data/15113465/fileData.do

Alerts

의정부서 is highly overall correlated with 범죄유형High correlation
범죄유형 is highly overall correlated with 의정부서High correlation

Reproduction

Analysis started2023-12-12 12:10:59.646673
Analysis finished2023-12-12 12:10:59.998281
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
2015
15 
2014
15 
2013
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 15
33.3%
2014 15
33.3%
2013 15
33.3%

Length

2023-12-12T21:11:00.062139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:11:00.170874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 15
33.3%
2014 15
33.3%
2013 15
33.3%

범죄유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
살인
9 
강도
9 
성범죄
9 
절도
9 
폭력
9 

Length

Max length3
Median length2
Mean length2.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
살인 9
20.0%
강도 9
20.0%
성범죄 9
20.0%
절도 9
20.0%
폭력 9
20.0%

Length

2023-12-12T21:11:00.278121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:11:00.387657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
살인 9
20.0%
강도 9
20.0%
성범죄 9
20.0%
절도 9
20.0%
폭력 9
20.0%

구분
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
발생건수
15 
검거건수
15 
검거인원
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발생건수
2nd row검거건수
3rd row검거인원
4th row발생건수
5th row검거건수

Common Values

ValueCountFrequency (%)
발생건수 15
33.3%
검거건수 15
33.3%
검거인원 15
33.3%

Length

2023-12-12T21:11:00.502766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:11:00.608771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발생건수 15
33.3%
검거건수 15
33.3%
검거인원 15
33.3%

의정부서
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1031.2889
Minimum6
Maximum4478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-12T21:11:00.727982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.2
Q113
median196
Q32310
95-th percentile3868.6
Maximum4478
Range4472
Interquartile range (IQR)2297

Descriptive statistics

Standard deviation1402.3745
Coefficient of variation (CV)1.359827
Kurtosis-0.086989307
Mean1031.2889
Median Absolute Deviation (MAD)189
Skewness1.1642727
Sum46408
Variance1966654.2
MonotonicityNot monotonic
2023-12-12T21:11:00.877304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
7 3
 
6.7%
6 3
 
6.7%
9 3
 
6.7%
23 2
 
4.4%
15 2
 
4.4%
13 2
 
4.4%
217 1
 
2.2%
4170 1
 
2.2%
11 1
 
2.2%
10 1
 
2.2%
Other values (26) 26
57.8%
ValueCountFrequency (%)
6 3
6.7%
7 3
6.7%
9 3
6.7%
10 1
 
2.2%
11 1
 
2.2%
13 2
4.4%
15 2
4.4%
23 2
4.4%
27 1
 
2.2%
177 1
 
2.2%
ValueCountFrequency (%)
4478 1
2.2%
4170 1
2.2%
4003 1
2.2%
3331 1
2.2%
3328 1
2.2%
3320 1
2.2%
2892 1
2.2%
2855 1
2.2%
2631 1
2.2%
2602 1
2.2%

Interactions

2023-12-12T21:10:59.792922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:11:00.951576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도범죄유형구분의정부서
연도1.0000.0000.0000.000
범죄유형0.0001.0000.0000.757
구분0.0000.0001.0000.501
의정부서0.0000.7570.5011.000
2023-12-12T21:11:01.035812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
범죄유형구분연도
범죄유형1.0000.0000.000
구분0.0001.0000.000
연도0.0000.0001.000
2023-12-12T21:11:01.108741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의정부서연도범죄유형구분
의정부서1.0000.0000.5740.341
연도0.0001.0000.0000.000
범죄유형0.5740.0001.0000.000
구분0.3410.0000.0001.000

Missing values

2023-12-12T21:10:59.881158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:10:59.963274image/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

연도범죄유형구분의정부서
02015살인발생건수7
12015살인검거건수7
22015살인검거인원7
32015강도발생건수15
42015강도검거건수15
52015강도검거인원23
62015성범죄발생건수237
72015성범죄검거건수190
82015성범죄검거인원198
92015절도발생건수2310
연도범죄유형구분의정부서
352013강도검거인원23
362013성범죄발생건수217
372013성범죄검거건수181
382013성범죄검거인원196
392013절도발생건수2354
402013절도검거건수886
412013절도검거인원1080
422013폭력발생건수3320
432013폭력검거건수2631
442013폭력검거인원4478