Overview

Dataset statistics

Number of variables22
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.3 KiB
Average record size in memory197.8 B

Variable types

Text1
Numeric21

Dataset

Description대검찰청에서 발간하는 범죄분석은 3종의 범죄통계원표를 기반으로 작성하는 자료이며 이 중 본 데이터는 피해자의 성별 연령에 따른 형법/특별법범의 통계임. (단위: 명)
Author대검찰청
URLhttps://www.data.go.kr/data/15086101/fileData.do

Alerts

범죄분류 has unique valuesUnique
남_6세 이하 has 127 (78.4%) zerosZeros
남_12세 이하 has 123 (75.9%) zerosZeros
남_15세 이하 has 114 (70.4%) zerosZeros
남_20세 이하 has 89 (54.9%) zerosZeros
남_30세 이하 has 45 (27.8%) zerosZeros
남_40세 이하 has 18 (11.1%) zerosZeros
남_50세 이하 has 8 (4.9%) zerosZeros
남_60세 이하 has 10 (6.2%) zerosZeros
남_60세 초과 has 18 (11.1%) zerosZeros
남_미상 has 42 (25.9%) zerosZeros
여_6세 이하 has 131 (80.9%) zerosZeros
여_12세 이하 has 125 (77.2%) zerosZeros
여_15세 이하 has 119 (73.5%) zerosZeros
여_20세 이하 has 94 (58.0%) zerosZeros
여_30세 이하 has 66 (40.7%) zerosZeros
여_40세 이하 has 46 (28.4%) zerosZeros
여_50세 이하 has 42 (25.9%) zerosZeros
여_60세 이하 has 36 (22.2%) zerosZeros
여_60세 초과 has 56 (34.6%) zerosZeros
여_미상 has 85 (52.5%) zerosZeros

Reproduction

Analysis started2023-12-12 22:08:20.722870
Analysis finished2023-12-12 22:08:20.989613
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

범죄분류
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-13T07:08:21.162429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length23
Mean length8.6604938
Min length2

Characters and Unicode

Total characters1403
Distinct characters227
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row절도
2nd row장물
3rd row사기
4th row횡령
5th row배임
ValueCountFrequency (%)
관한법률 15
 
5.7%
및 12
 
4.6%
관한 8
 
3.0%
죄 4
 
1.5%
마약류관리에 3
 
1.1%
기타 3
 
1.1%
등에 3
 
1.1%
규제에 2
 
0.8%
규제 2
 
0.8%
처벌 2
 
0.8%
Other values (207) 209
79.5%
2023-12-13T07:08:21.549844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
법 114
 
8.1%
101
 
7.2%
관 67
 
4.8%
한 41
 
2.9%
에 40
 
2.9%
률 34
 
2.4%
리 31
 
2.2%
의 27
 
1.9%
보 26
 
1.9%
및 23
 
1.6%
Other values (217) 899
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1271
90.6%
Space Separator 101
 
7.2%
Open Punctuation 12
 
0.9%
Close Punctuation 12
 
0.9%
Other Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
법 114
 
9.0%
관 67
 
5.3%
한 41
 
3.2%
에 40
 
3.1%
률 34
 
2.7%
리 31
 
2.4%
의 27
 
2.1%
보 26
 
2.0%
및 23
 
1.8%
업 19
 
1.5%
Other values (212) 849
66.8%
Other Punctuation
ValueCountFrequency (%)
· 5
71.4%
, 2
 
28.6%
Space Separator
ValueCountFrequency (%)
101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1271
90.6%
Common 132
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
법 114
 
9.0%
관 67
 
5.3%
한 41
 
3.2%
에 40
 
3.1%
률 34
 
2.7%
리 31
 
2.4%
의 27
 
2.1%
보 26
 
2.0%
및 23
 
1.8%
업 19
 
1.5%
Other values (212) 849
66.8%
Common
ValueCountFrequency (%)
101
76.5%
( 12
 
9.1%
) 12
 
9.1%
· 5
 
3.8%
, 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1268
90.4%
ASCII 127
 
9.1%
None 5
 
0.4%
Compat Jamo 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
법 114
 
9.0%
관 67
 
5.3%
한 41
 
3.2%
에 40
 
3.2%
률 34
 
2.7%
리 31
 
2.4%
의 27
 
2.1%
보 26
 
2.1%
및 23
 
1.8%
업 19
 
1.5%
Other values (211) 846
66.7%
ASCII
ValueCountFrequency (%)
101
79.5%
( 12
 
9.4%
) 12
 
9.4%
, 2
 
1.6%
None
ValueCountFrequency (%)
· 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

남_6세 이하
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.876543
Minimum0
Maximum1281
Zeros127
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:21.692340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28.6
Maximum1281
Range1281
Interquartile range (IQR)0

Descriptive statistics

Standard deviation110.11557
Coefficient of variation (CV)7.4019593
Kurtosis113.45153
Mean14.876543
Median Absolute Deviation (MAD)0
Skewness10.320612
Sum2410
Variance12125.438
MonotonicityNot monotonic
2023-12-13T07:08:21.814767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 127
78.4%
1 15
 
9.3%
5 2
 
1.2%
21 2
 
1.2%
3 1
 
0.6%
1281 1
 
0.6%
66 1
 
0.6%
38 1
 
0.6%
558 1
 
0.6%
9 1
 
0.6%
Other values (10) 10
 
6.2%
ValueCountFrequency (%)
0 127
78.4%
1 15
 
9.3%
3 1
 
0.6%
4 1
 
0.6%
5 2
 
1.2%
6 1
 
0.6%
9 1
 
0.6%
11 1
 
0.6%
13 1
 
0.6%
14 1
 
0.6%
ValueCountFrequency (%)
1281 1
0.6%
558 1
0.6%
109 1
0.6%
104 1
0.6%
66 1
0.6%
51 1
0.6%
47 1
0.6%
38 1
0.6%
29 1
0.6%
21 2
1.2%

남_12세 이하
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.808642
Minimum0
Maximum2522
Zeros123
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:21.935855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile99.25
Maximum2522
Range2522
Interquartile range (IQR)0

Descriptive statistics

Standard deviation217.47488
Coefficient of variation (CV)6.2477266
Kurtosis108.7374
Mean34.808642
Median Absolute Deviation (MAD)0
Skewness9.8851787
Sum5639
Variance47295.323
MonotonicityNot monotonic
2023-12-13T07:08:22.094708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 123
75.9%
2 6
 
3.7%
1 5
 
3.1%
3 4
 
2.5%
9 4
 
2.5%
40 2
 
1.2%
66 2
 
1.2%
770 1
 
0.6%
28 1
 
0.6%
189 1
 
0.6%
Other values (13) 13
 
8.0%
ValueCountFrequency (%)
0 123
75.9%
1 5
 
3.1%
2 6
 
3.7%
3 4
 
2.5%
4 1
 
0.6%
5 1
 
0.6%
9 4
 
2.5%
19 1
 
0.6%
20 1
 
0.6%
28 1
 
0.6%
ValueCountFrequency (%)
2522 1
0.6%
770 1
0.6%
672 1
0.6%
533 1
0.6%
189 1
0.6%
150 1
0.6%
143 1
0.6%
125 1
0.6%
101 1
0.6%
66 2
1.2%

남_15세 이하
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.969136
Minimum0
Maximum2344
Zeros114
Zeros (%)70.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:22.243890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile103.15
Maximum2344
Range2344
Interquartile range (IQR)1

Descriptive statistics

Standard deviation258.47271
Coefficient of variation (CV)4.9735811
Kurtosis49.616381
Mean51.969136
Median Absolute Deviation (MAD)0
Skewness6.7184476
Sum8419
Variance66808.142
MonotonicityNot monotonic
2023-12-13T07:08:22.399654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 114
70.4%
1 9
 
5.6%
2 5
 
3.1%
13 2
 
1.2%
4 2
 
1.2%
3 2
 
1.2%
11 1
 
0.6%
16 1
 
0.6%
5 1
 
0.6%
1344 1
 
0.6%
Other values (24) 24
 
14.8%
ValueCountFrequency (%)
0 114
70.4%
1 9
 
5.6%
2 5
 
3.1%
3 2
 
1.2%
4 2
 
1.2%
5 1
 
0.6%
6 1
 
0.6%
7 1
 
0.6%
9 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
2344 1
0.6%
1603 1
0.6%
1344 1
0.6%
699 1
0.6%
529 1
0.6%
521 1
0.6%
389 1
0.6%
308 1
0.6%
104 1
0.6%
87 1
0.6%

남_20세 이하
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.67284
Minimum0
Maximum10163
Zeros89
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:22.596485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.75
95-th percentile575.55
Maximum10163
Range10163
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation1300.7249
Coefficient of variation (CV)4.8412967
Kurtosis37.100963
Mean268.67284
Median Absolute Deviation (MAD)0
Skewness6.0195382
Sum43525
Variance1691885.3
MonotonicityNot monotonic
2023-12-13T07:08:22.780147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 89
54.9%
1 15
 
9.3%
4 6
 
3.7%
2 4
 
2.5%
8 2
 
1.2%
3 2
 
1.2%
318 2
 
1.2%
9 2
 
1.2%
18 1
 
0.6%
6422 1
 
0.6%
Other values (38) 38
23.5%
ValueCountFrequency (%)
0 89
54.9%
1 15
 
9.3%
2 4
 
2.5%
3 2
 
1.2%
4 6
 
3.7%
7 1
 
0.6%
8 2
 
1.2%
9 2
 
1.2%
10 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
10163 1
0.6%
8291 1
0.6%
7415 1
0.6%
6422 1
0.6%
2768 1
0.6%
2448 1
0.6%
685 1
0.6%
656 1
0.6%
584 1
0.6%
415 1
0.6%

남_30세 이하
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean812.77778
Minimum0
Maximum26236
Zeros45
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:22.943576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q373.5
95-th percentile3456.95
Maximum26236
Range26236
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation3472.5989
Coefficient of variation (CV)4.2725072
Kurtosis33.799944
Mean812.77778
Median Absolute Deviation (MAD)3
Skewness5.7113652
Sum131670
Variance12058943
MonotonicityNot monotonic
2023-12-13T07:08:23.107052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
27.8%
1 24
14.8%
2 8
 
4.9%
3 6
 
3.7%
6 6
 
3.7%
5 5
 
3.1%
7 3
 
1.9%
80 2
 
1.2%
10 2
 
1.2%
4 2
 
1.2%
Other values (55) 59
36.4%
ValueCountFrequency (%)
0 45
27.8%
1 24
14.8%
2 8
 
4.9%
3 6
 
3.7%
4 2
 
1.2%
5 5
 
3.1%
6 6
 
3.7%
7 3
 
1.9%
8 2
 
1.2%
10 2
 
1.2%
ValueCountFrequency (%)
26236 1
0.6%
21959 1
0.6%
19123 1
0.6%
18539 1
0.6%
6563 1
0.6%
5528 1
0.6%
5251 1
0.6%
5201 1
0.6%
3476 1
0.6%
3095 1
0.6%

남_40세 이하
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean916.67284
Minimum0
Maximum30608
Zeros18
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:23.279482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9.5
Q3105
95-th percentile4282.4
Maximum30608
Range30608
Interquartile range (IQR)103

Descriptive statistics

Standard deviation3780.4247
Coefficient of variation (CV)4.1240719
Kurtosis37.84101
Mean916.67284
Median Absolute Deviation (MAD)9
Skewness5.9290752
Sum148501
Variance14291611
MonotonicityNot monotonic
2023-12-13T07:08:23.421182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
11.1%
1 14
 
8.6%
3 13
 
8.0%
2 10
 
6.2%
5 6
 
3.7%
6 6
 
3.7%
9 5
 
3.1%
7 5
 
3.1%
12 4
 
2.5%
18 3
 
1.9%
Other values (67) 78
48.1%
ValueCountFrequency (%)
0 18
11.1%
1 14
8.6%
2 10
6.2%
3 13
8.0%
4 1
 
0.6%
5 6
 
3.7%
6 6
 
3.7%
7 5
 
3.1%
8 3
 
1.9%
9 5
 
3.1%
ValueCountFrequency (%)
30608 1
0.6%
24533 1
0.6%
21240 1
0.6%
14068 1
0.6%
8548 1
0.6%
8157 1
0.6%
5225 1
0.6%
4666 1
0.6%
4350 1
0.6%
2998 1
0.6%

남_50세 이하
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean974.19136
Minimum0
Maximum32050
Zeros8
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:23.594367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.25
median15.5
Q3143.5
95-th percentile4901.95
Maximum32050
Range32050
Interquartile range (IQR)140.25

Descriptive statistics

Standard deviation3925.821
Coefficient of variation (CV)4.0298253
Kurtosis37.53142
Mean974.19136
Median Absolute Deviation (MAD)14.5
Skewness5.8894224
Sum157819
Variance15412070
MonotonicityNot monotonic
2023-12-13T07:08:24.046351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 18
 
11.1%
4 10
 
6.2%
2 9
 
5.6%
0 8
 
4.9%
5 6
 
3.7%
3 6
 
3.7%
6 4
 
2.5%
16 4
 
2.5%
10 3
 
1.9%
144 3
 
1.9%
Other values (74) 91
56.2%
ValueCountFrequency (%)
0 8
4.9%
1 18
11.1%
2 9
5.6%
3 6
 
3.7%
4 10
6.2%
5 6
 
3.7%
6 4
 
2.5%
7 2
 
1.2%
8 2
 
1.2%
9 3
 
1.9%
ValueCountFrequency (%)
32050 1
0.6%
24987 1
0.6%
21353 1
0.6%
15975 1
0.6%
8869 1
0.6%
7696 1
0.6%
5859 1
0.6%
5217 1
0.6%
4998 1
0.6%
3077 1
0.6%

남_60세 이하
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean928.56173
Minimum0
Maximum28556
Zeros10
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:24.212135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median17
Q3115
95-th percentile4584.1
Maximum28556
Range28556
Interquartile range (IQR)111

Descriptive statistics

Standard deviation3655.852
Coefficient of variation (CV)3.9371125
Kurtosis34.029944
Mean928.56173
Median Absolute Deviation (MAD)16.5
Skewness5.6660025
Sum150427
Variance13365254
MonotonicityNot monotonic
2023-12-13T07:08:24.413641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 11
 
6.8%
2 10
 
6.2%
0 10
 
6.2%
3 9
 
5.6%
4 6
 
3.7%
8 5
 
3.1%
6 4
 
2.5%
5 4
 
2.5%
10 3
 
1.9%
12 3
 
1.9%
Other values (78) 97
59.9%
ValueCountFrequency (%)
0 10
6.2%
1 11
6.8%
2 10
6.2%
3 9
5.6%
4 6
3.7%
5 4
 
2.5%
6 4
 
2.5%
7 2
 
1.2%
8 5
3.1%
9 2
 
1.2%
ValueCountFrequency (%)
28556 1
0.6%
22063 1
0.6%
21016 1
0.6%
17605 1
0.6%
8583 1
0.6%
6266 1
0.6%
5516 1
0.6%
5085 1
0.6%
4653 1
0.6%
3275 1
0.6%

남_60세 초과
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean587.29012
Minimum0
Maximum20655
Zeros18
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:24.588210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median12.5
Q387.25
95-th percentile2305.65
Maximum20655
Range20655
Interquartile range (IQR)85

Descriptive statistics

Standard deviation2437.4524
Coefficient of variation (CV)4.1503378
Kurtosis40.572603
Mean587.29012
Median Absolute Deviation (MAD)12.5
Skewness6.105511
Sum95141
Variance5941174.1
MonotonicityNot monotonic
2023-12-13T07:08:24.760811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
11.1%
1 17
 
10.5%
3 11
 
6.8%
4 7
 
4.3%
2 6
 
3.7%
5 5
 
3.1%
7 4
 
2.5%
16 3
 
1.9%
6 3
 
1.9%
14 3
 
1.9%
Other values (73) 85
52.5%
ValueCountFrequency (%)
0 18
11.1%
1 17
10.5%
2 6
 
3.7%
3 11
6.8%
4 7
 
4.3%
5 5
 
3.1%
6 3
 
1.9%
7 4
 
2.5%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
20655 1
0.6%
15014 1
0.6%
13205 1
0.6%
9766 1
0.6%
5738 1
0.6%
3547 1
0.6%
3424 1
0.6%
3283 1
0.6%
2310 1
0.6%
2223 1
0.6%

남_미상
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.802469
Minimum0
Maximum4726
Zeros42
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:24.910852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313.75
95-th percentile70.9
Maximum4726
Range4726
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation383.51783
Coefficient of variation (CV)7.5491966
Kurtosis139.89811
Mean50.802469
Median Absolute Deviation (MAD)2
Skewness11.578531
Sum8230
Variance147085.92
MonotonicityNot monotonic
2023-12-13T07:08:25.073872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 42
25.9%
2 23
14.2%
1 19
11.7%
3 9
 
5.6%
4 7
 
4.3%
5 5
 
3.1%
11 4
 
2.5%
6 4
 
2.5%
14 4
 
2.5%
7 3
 
1.9%
Other values (32) 42
25.9%
ValueCountFrequency (%)
0 42
25.9%
1 19
11.7%
2 23
14.2%
3 9
 
5.6%
4 7
 
4.3%
5 5
 
3.1%
6 4
 
2.5%
7 3
 
1.9%
10 2
 
1.2%
11 4
 
2.5%
ValueCountFrequency (%)
4726 1
0.6%
1233 1
0.6%
365 1
0.6%
142 1
0.6%
133 1
0.6%
110 1
0.6%
79 1
0.6%
73 1
0.6%
71 1
0.6%
69 2
1.2%

여_6세 이하
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.419753
Minimum0
Maximum828
Zeros131
Zeros (%)80.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:25.210796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20.95
Maximum828
Range828
Interquartile range (IQR)0

Descriptive statistics

Standard deviation71.301192
Coefficient of variation (CV)6.8428869
Kurtosis111.41027
Mean10.419753
Median Absolute Deviation (MAD)0
Skewness10.14399
Sum1688
Variance5083.86
MonotonicityNot monotonic
2023-12-13T07:08:25.340956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 131
80.9%
1 11
 
6.8%
3 2
 
1.2%
6 2
 
1.2%
2 1
 
0.6%
48 1
 
0.6%
20 1
 
0.6%
340 1
 
0.6%
10 1
 
0.6%
13 1
 
0.6%
Other values (10) 10
 
6.2%
ValueCountFrequency (%)
0 131
80.9%
1 11
 
6.8%
2 1
 
0.6%
3 2
 
1.2%
6 2
 
1.2%
9 1
 
0.6%
10 1
 
0.6%
13 1
 
0.6%
14 1
 
0.6%
17 1
 
0.6%
ValueCountFrequency (%)
828 1
0.6%
340 1
0.6%
134 1
0.6%
90 1
0.6%
56 1
0.6%
48 1
0.6%
30 1
0.6%
27 1
0.6%
21 1
0.6%
20 1
0.6%

여_12세 이하
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.660494
Minimum0
Maximum1374
Zeros125
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:25.474488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile49.8
Maximum1374
Range1374
Interquartile range (IQR)0

Descriptive statistics

Standard deviation138.08257
Coefficient of variation (CV)5.8359971
Kurtosis70.334858
Mean23.660494
Median Absolute Deviation (MAD)0
Skewness8.1101032
Sum3833
Variance19066.797
MonotonicityNot monotonic
2023-12-13T07:08:25.595306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 125
77.2%
1 6
 
3.7%
5 3
 
1.9%
15 2
 
1.2%
6 2
 
1.2%
3 2
 
1.2%
7 2
 
1.2%
173 1
 
0.6%
10 1
 
0.6%
108 1
 
0.6%
Other values (17) 17
 
10.5%
ValueCountFrequency (%)
0 125
77.2%
1 6
 
3.7%
2 1
 
0.6%
3 2
 
1.2%
5 3
 
1.9%
6 2
 
1.2%
7 2
 
1.2%
8 1
 
0.6%
10 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
1374 1
0.6%
956 1
0.6%
512 1
0.6%
177 1
0.6%
173 1
0.6%
108 1
0.6%
84 1
0.6%
76 1
0.6%
50 1
0.6%
46 1
0.6%

여_15세 이하
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.364198
Minimum0
Maximum1560
Zeros119
Zeros (%)73.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:25.720547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile170.95
Maximum1560
Range1560
Interquartile range (IQR)1

Descriptive statistics

Standard deviation161.13829
Coefficient of variation (CV)4.4312347
Kurtosis54.934369
Mean36.364198
Median Absolute Deviation (MAD)0
Skewness6.825451
Sum5891
Variance25965.55
MonotonicityNot monotonic
2023-12-13T07:08:25.878279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 119
73.5%
2 7
 
4.3%
1 6
 
3.7%
11 3
 
1.9%
28 2
 
1.2%
5 2
 
1.2%
474 1
 
0.6%
172 1
 
0.6%
83 1
 
0.6%
428 1
 
0.6%
Other values (19) 19
 
11.7%
ValueCountFrequency (%)
0 119
73.5%
1 6
 
3.7%
2 7
 
4.3%
3 1
 
0.6%
5 2
 
1.2%
11 3
 
1.9%
13 1
 
0.6%
14 1
 
0.6%
16 1
 
0.6%
18 1
 
0.6%
ValueCountFrequency (%)
1560 1
0.6%
796 1
0.6%
755 1
0.6%
474 1
0.6%
428 1
0.6%
356 1
0.6%
261 1
0.6%
237 1
0.6%
172 1
0.6%
151 1
0.6%

여_20세 이하
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.03704
Minimum0
Maximum6071
Zeros94
Zeros (%)58.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:26.064269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile449.25
Maximum6071
Range6071
Interquartile range (IQR)10

Descriptive statistics

Standard deviation761.32558
Coefficient of variation (CV)4.3248034
Kurtosis33.700549
Mean176.03704
Median Absolute Deviation (MAD)0
Skewness5.6307352
Sum28518
Variance579616.64
MonotonicityNot monotonic
2023-12-13T07:08:26.187290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 94
58.0%
1 10
 
6.2%
2 5
 
3.1%
7 3
 
1.9%
6 3
 
1.9%
19 2
 
1.2%
10 2
 
1.2%
58 2
 
1.2%
3 2
 
1.2%
29 2
 
1.2%
Other values (36) 37
 
22.8%
ValueCountFrequency (%)
0 94
58.0%
1 10
 
6.2%
2 5
 
3.1%
3 2
 
1.2%
5 1
 
0.6%
6 3
 
1.9%
7 3
 
1.9%
9 2
 
1.2%
10 2
 
1.2%
13 1
 
0.6%
ValueCountFrequency (%)
6071 1
0.6%
4347 1
0.6%
4030 1
0.6%
3632 1
0.6%
2508 1
0.6%
2017 1
0.6%
1034 1
0.6%
816 1
0.6%
451 1
0.6%
416 1
0.6%

여_30세 이하
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean502.4321
Minimum0
Maximum15458
Zeros66
Zeros (%)40.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:26.339876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q338.75
95-th percentile1854.55
Maximum15458
Range15458
Interquartile range (IQR)38.75

Descriptive statistics

Standard deviation2067.5931
Coefficient of variation (CV)4.1151692
Kurtosis29.560062
Mean502.4321
Median Absolute Deviation (MAD)2
Skewness5.3495198
Sum81394
Variance4274941.3
MonotonicityNot monotonic
2023-12-13T07:08:26.478522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 66
40.7%
1 13
 
8.0%
2 7
 
4.3%
4 5
 
3.1%
3 4
 
2.5%
10 4
 
2.5%
7 4
 
2.5%
8 3
 
1.9%
27 2
 
1.2%
5 2
 
1.2%
Other values (51) 52
32.1%
ValueCountFrequency (%)
0 66
40.7%
1 13
 
8.0%
2 7
 
4.3%
3 4
 
2.5%
4 5
 
3.1%
5 2
 
1.2%
6 1
 
0.6%
7 4
 
2.5%
8 3
 
1.9%
10 4
 
2.5%
ValueCountFrequency (%)
15458 1
0.6%
11502 1
0.6%
11257 1
0.6%
10137 1
0.6%
9115 1
0.6%
4518 1
0.6%
2350 1
0.6%
2213 1
0.6%
1865 1
0.6%
1656 1
0.6%

여_40세 이하
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean463.77778
Minimum0
Maximum14391
Zeros46
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:26.623934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q356.25
95-th percentile2619.55
Maximum14391
Range14391
Interquartile range (IQR)56.25

Descriptive statistics

Standard deviation1884.4474
Coefficient of variation (CV)4.0632551
Kurtosis32.845285
Mean463.77778
Median Absolute Deviation (MAD)2
Skewness5.5964182
Sum75132
Variance3551142.1
MonotonicityNot monotonic
2023-12-13T07:08:26.776182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
28.4%
1 25
15.4%
2 12
 
7.4%
4 4
 
2.5%
8 3
 
1.9%
5 3
 
1.9%
10 2
 
1.2%
6 2
 
1.2%
26 2
 
1.2%
7 2
 
1.2%
Other values (56) 61
37.7%
ValueCountFrequency (%)
0 46
28.4%
1 25
15.4%
2 12
 
7.4%
3 2
 
1.2%
4 4
 
2.5%
5 3
 
1.9%
6 2
 
1.2%
7 2
 
1.2%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
14391 1
0.6%
11282 1
0.6%
10294 1
0.6%
10276 1
0.6%
3544 1
0.6%
3375 1
0.6%
3362 1
0.6%
2866 1
0.6%
2683 1
0.6%
1414 1
0.6%

여_50세 이하
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean551.64815
Minimum0
Maximum15973
Zeros42
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:26.933175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q387.75
95-th percentile2500.7
Maximum15973
Range15973
Interquartile range (IQR)87.75

Descriptive statistics

Standard deviation2211.6863
Coefficient of variation (CV)4.0092337
Kurtosis31.228126
Mean551.64815
Median Absolute Deviation (MAD)4.5
Skewness5.4891766
Sum89367
Variance4891556.4
MonotonicityNot monotonic
2023-12-13T07:08:27.054588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
25.9%
1 15
 
9.3%
2 11
 
6.8%
3 9
 
5.6%
6 4
 
2.5%
4 4
 
2.5%
5 4
 
2.5%
9 3
 
1.9%
22 2
 
1.2%
8 2
 
1.2%
Other values (61) 66
40.7%
ValueCountFrequency (%)
0 42
25.9%
1 15
 
9.3%
2 11
 
6.8%
3 9
 
5.6%
4 4
 
2.5%
5 4
 
2.5%
6 4
 
2.5%
7 1
 
0.6%
8 2
 
1.2%
9 3
 
1.9%
ValueCountFrequency (%)
15973 1
0.6%
14149 1
0.6%
12497 1
0.6%
11695 1
0.6%
5046 1
0.6%
4160 1
0.6%
3475 1
0.6%
2860 1
0.6%
2503 1
0.6%
2457 1
0.6%

여_60세 이하
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean526.80864
Minimum0
Maximum16374
Zeros36
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:27.199231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q388.5
95-th percentile2520.45
Maximum16374
Range16374
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation2174.7882
Coefficient of variation (CV)4.1282318
Kurtosis33.977175
Mean526.80864
Median Absolute Deviation (MAD)4
Skewness5.7009797
Sum85343
Variance4729703.6
MonotonicityNot monotonic
2023-12-13T07:08:27.332204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
22.2%
1 20
 
12.3%
3 12
 
7.4%
2 9
 
5.6%
4 5
 
3.1%
5 5
 
3.1%
6 4
 
2.5%
7 4
 
2.5%
8 3
 
1.9%
9 3
 
1.9%
Other values (58) 61
37.7%
ValueCountFrequency (%)
0 36
22.2%
1 20
12.3%
2 9
 
5.6%
3 12
 
7.4%
4 5
 
3.1%
5 5
 
3.1%
6 4
 
2.5%
7 4
 
2.5%
8 3
 
1.9%
9 3
 
1.9%
ValueCountFrequency (%)
16374 1
0.6%
13669 1
0.6%
13473 1
0.6%
9642 1
0.6%
4992 1
0.6%
3456 1
0.6%
3403 1
0.6%
2994 1
0.6%
2566 1
0.6%
1655 1
0.6%

여_60세 초과
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean319.80864
Minimum0
Maximum15477
Zeros56
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:27.455960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q343.25
95-th percentile885.95
Maximum15477
Range15477
Interquartile range (IQR)43.25

Descriptive statistics

Standard deviation1555.517
Coefficient of variation (CV)4.8638993
Kurtosis63.213901
Mean319.80864
Median Absolute Deviation (MAD)3
Skewness7.4866193
Sum51809
Variance2419633.3
MonotonicityNot monotonic
2023-12-13T07:08:27.600065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
34.6%
1 14
 
8.6%
3 12
 
7.4%
2 6
 
3.7%
6 6
 
3.7%
7 4
 
2.5%
5 2
 
1.2%
13 2
 
1.2%
16 2
 
1.2%
11 2
 
1.2%
Other values (54) 56
34.6%
ValueCountFrequency (%)
0 56
34.6%
1 14
 
8.6%
2 6
 
3.7%
3 12
 
7.4%
4 1
 
0.6%
5 2
 
1.2%
6 6
 
3.7%
7 4
 
2.5%
8 1
 
0.6%
10 2
 
1.2%
ValueCountFrequency (%)
15477 1
0.6%
8595 1
0.6%
7233 1
0.6%
4781 1
0.6%
2352 1
0.6%
2107 1
0.6%
1479 1
0.6%
1077 1
0.6%
888 1
0.6%
847 1
0.6%

여_미상
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.592593
Minimum0
Maximum1445
Zeros85
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:27.737685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile38.3
Maximum1445
Range1445
Interquartile range (IQR)3

Descriptive statistics

Standard deviation146.25085
Coefficient of variation (CV)5.4996838
Kurtosis65.214394
Mean26.592593
Median Absolute Deviation (MAD)0
Skewness7.7094601
Sum4308
Variance21389.311
MonotonicityNot monotonic
2023-12-13T07:08:27.845799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 85
52.5%
1 21
 
13.0%
2 13
 
8.0%
5 7
 
4.3%
6 5
 
3.1%
3 4
 
2.5%
4 4
 
2.5%
10 3
 
1.9%
12 2
 
1.2%
25 1
 
0.6%
Other values (17) 17
 
10.5%
ValueCountFrequency (%)
0 85
52.5%
1 21
 
13.0%
2 13
 
8.0%
3 4
 
2.5%
4 4
 
2.5%
5 7
 
4.3%
6 5
 
3.1%
7 1
 
0.6%
9 1
 
0.6%
10 3
 
1.9%
ValueCountFrequency (%)
1445 1
0.6%
935 1
0.6%
582 1
0.6%
393 1
0.6%
256 1
0.6%
113 1
0.6%
108 1
0.6%
84 1
0.6%
39 1
0.6%
25 1
0.6%

미상
Real number (ℝ)

Distinct154
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3986.4938
Minimum0
Maximum154046
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T07:08:27.991411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.1
Q1231
median718.5
Q32342.5
95-th percentile10120.1
Maximum154046
Range154046
Interquartile range (IQR)2111.5

Descriptive statistics

Standard deviation13723.383
Coefficient of variation (CV)3.4424695
Kurtosis90.379262
Mean3986.4938
Median Absolute Deviation (MAD)666
Skewness8.7012716
Sum645812
Variance1.8833125 × 108
MonotonicityNot monotonic
2023-12-13T07:08:28.131644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 2
 
1.2%
243 2
 
1.2%
487 2
 
1.2%
32 2
 
1.2%
198 2
 
1.2%
37 2
 
1.2%
46 2
 
1.2%
83 2
 
1.2%
4735 1
 
0.6%
195 1
 
0.6%
Other values (144) 144
88.9%
ValueCountFrequency (%)
0 1
0.6%
1 1
0.6%
7 2
1.2%
11 1
0.6%
18 1
0.6%
23 1
0.6%
26 1
0.6%
28 1
0.6%
30 1
0.6%
31 1
0.6%
ValueCountFrequency (%)
154046 1
0.6%
45308 1
0.6%
42041 1
0.6%
34184 1
0.6%
31228 1
0.6%
25691 1
0.6%
24858 1
0.6%
23932 1
0.6%
10122 1
0.6%
10084 1
0.6%

Sample

범죄분류남_6세 이하남_12세 이하남_15세 이하남_20세 이하남_30세 이하남_40세 이하남_50세 이하남_60세 이하남_60세 초과남_미상여_6세 이하여_12세 이하여_15세 이하여_20세 이하여_30세 이하여_40세 이하여_50세 이하여_60세 이하여_60세 초과여_미상미상
0절도37702344741521959245332498721016132057331734743632115021128214149134738595254742
1장물0313791681961478633501341124514427101902
2사기113352182912623630608320502855615014365615356434715458143911597316374723311325691
3횡령512538924486563522558595085328366384237201745182866286025661479136919
4배임000124188479724575151000104412021014432699
5손괴14062685525181578869858357381805182061865337550464992235241291
6살인1424116079115115800146092747719366045
7강도0266210010282115620021489657709757031
8방화020447851851671662012939601161251050243
9성폭력21150104318599236178112441613495615606071112573544250316556579351774
범죄분류남_6세 이하남_12세 이하남_15세 이하남_20세 이하남_30세 이하남_40세 이하남_50세 이하남_60세 이하남_60세 초과남_미상여_6세 이하여_12세 이하여_15세 이하여_20세 이하여_30세 이하여_40세 이하여_50세 이하여_60세 이하여_60세 초과여_미상미상
152폐기물관리법0000252345302000002211701509
153풍속영업의 규제에 관한법률00000010020000011020198
154하천법00000101100000001000209
155학교보건법0000001100000000000080
156학원의설립운영및과외교습에관한법률00010056020000064000487
157화물자동차운수사업법0000511232014400000151002026
158화재로 인한 재해보상과 보험가입에 관한법률000003413000000111001
159화재예방·소방시설설치유지 및 안전관리에 관한법률0000001000000000010023
160화학물질관리법10002533220001402000654
161기타 특별법66189873291661228621822270156914248108172327939930113497456510834184