Overview

Dataset statistics

Number of variables21
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory190.5 B

Variable types

Categorical1
Text1
Numeric19

Dataset

Description전국 경찰관서에 고소, 고발, 인지 등으로 형사입건된 사건의 발생, 검거, 피의자에 대한 죄종별 분석 현황
Author경찰청
URLhttps://www.data.go.kr/data/3074475/fileData.do

Alerts

한국 has unique valuesUnique
소계 has 2 (5.3%) zerosZeros
미국 has 12 (31.6%) zerosZeros
중국 has 5 (13.2%) zerosZeros
일본 has 21 (55.3%) zerosZeros
몽골 has 17 (44.7%) zerosZeros
베트남 has 13 (34.2%) zerosZeros
태국 has 14 (36.8%) zerosZeros
대만 has 14 (36.8%) zerosZeros
러시아 has 10 (26.3%) zerosZeros
방글라데시 has 20 (52.6%) zerosZeros
스리랑카 has 18 (47.4%) zerosZeros
우즈베키스탄 has 7 (18.4%) zerosZeros
인도네시아 has 24 (63.2%) zerosZeros
캐나다 has 18 (47.4%) zerosZeros
키르기스스탄 has 18 (47.4%) zerosZeros
필리핀 has 20 (52.6%) zerosZeros
파키스탄 has 21 (55.3%) zerosZeros
기타 has 5 (13.2%) zerosZeros

Reproduction

Analysis started2023-12-12 12:31:19.905120
Analysis finished2023-12-12 12:31:20.141042
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

범죄대분류
Categorical

Distinct15
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
지능범죄
9 
강력범죄
8 
폭력범죄
8 
풍속범죄
2 
절도범죄
 
1
Other values (10)
10 

Length

Max length6
Median length4
Mean length4.0526316
Min length4

Unique

Unique11 ?
Unique (%)28.9%

Sample

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

Common Values

ValueCountFrequency (%)
지능범죄 9
23.7%
강력범죄 8
21.1%
폭력범죄 8
21.1%
풍속범죄 2
 
5.3%
절도범죄 1
 
2.6%
특별경제범죄 1
 
2.6%
마약범죄 1
 
2.6%
보건범죄 1
 
2.6%
환경범죄 1
 
2.6%
교통범죄 1
 
2.6%
Other values (5) 5
13.2%

Length

2023-12-12T21:31:20.219762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지능범죄 9
23.7%
강력범죄 8
21.1%
폭력범죄 8
21.1%
풍속범죄 2
 
5.3%
절도범죄 1
 
2.6%
특별경제범죄 1
 
2.6%
마약범죄 1
 
2.6%
보건범죄 1
 
2.6%
환경범죄 1
 
2.6%
교통범죄 1
 
2.6%
Other values (5) 5
13.2%

범죄중분류
Text

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T21:31:20.397247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length2
Mean length3.1578947
Min length2

Characters and Unicode

Total characters120
Distinct characters59
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)71.1%

Sample

1st row살인기수
2nd row살인미수등
3rd row강도
4th row강간
5th row유사강간
ValueCountFrequency (%)
소계 11
25.6%
강간 2
 
4.7%
폭력행위등 1
 
2.3%
공갈 1
 
2.3%
성풍속범죄 1
 
2.3%
배임 1
 
2.3%
횡령 1
 
2.3%
사기 1
 
2.3%
유가증권인지 1
 
2.3%
인장 1
 
2.3%
Other values (22) 22
51.2%
2023-12-12T21:31:20.729033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 11
 
9.2%
계 11
 
9.2%
강 6
 
5.0%
5
 
4.2%
인 5
 
4.2%
유 4
 
3.3%
기 4
 
3.3%
행 4
 
3.3%
간 3
 
2.5%
수 3
 
2.5%
Other values (49) 64
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
95.8%
Space Separator 5
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 11
 
9.6%
계 11
 
9.6%
강 6
 
5.2%
인 5
 
4.3%
유 4
 
3.5%
기 4
 
3.5%
행 4
 
3.5%
간 3
 
2.6%
수 3
 
2.6%
등 3
 
2.6%
Other values (48) 61
53.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
95.8%
Common 5
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 11
 
9.6%
계 11
 
9.6%
강 6
 
5.2%
인 5
 
4.3%
유 4
 
3.5%
기 4
 
3.5%
행 4
 
3.5%
간 3
 
2.6%
수 3
 
2.6%
등 3
 
2.6%
Other values (48) 61
53.0%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
95.8%
ASCII 5
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 11
 
9.6%
계 11
 
9.6%
강 6
 
5.2%
인 5
 
4.3%
유 4
 
3.5%
기 4
 
3.5%
행 4
 
3.5%
간 3
 
2.6%
수 3
 
2.6%
등 3
 
2.6%
Other values (48) 61
53.0%
ASCII
ValueCountFrequency (%)
5
100.0%

한국
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38395.553
Minimum78
Maximum348536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:20.879749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile264.75
Q1920.5
median5118.5
Q323780.25
95-th percentile238866.5
Maximum348536
Range348458
Interquartile range (IQR)22859.75

Descriptive statistics

Standard deviation79141.257
Coefficient of variation (CV)2.061209
Kurtosis7.2231032
Mean38395.553
Median Absolute Deviation (MAD)4915
Skewness2.7492648
Sum1459031
Variance6.2633386 × 109
MonotonicityNot monotonic
2023-12-12T21:31:21.029847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
316 1
 
2.6%
10247 1
 
2.6%
116 1
 
2.6%
241119 1
 
2.6%
35216 1
 
2.6%
8258 1
 
2.6%
13297 1
 
2.6%
20625 1
 
2.6%
66676 1
 
2.6%
20338 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
78 1
2.6%
116 1
2.6%
291 1
2.6%
316 1
2.6%
346 1
2.6%
403 1
2.6%
600 1
2.6%
621 1
2.6%
803 1
2.6%
912 1
2.6%
ValueCountFrequency (%)
348536 1
2.6%
241119 1
2.6%
238469 1
2.6%
174297 1
2.6%
95669 1
2.6%
66676 1
2.6%
42277 1
2.6%
37927 1
2.6%
35216 1
2.6%
24383 1
2.6%

소계
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean931.31579
Minimum0
Maximum7910
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:21.168257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q113.75
median102.5
Q3916.5
95-th percentile4438.85
Maximum7910
Range7910
Interquartile range (IQR)902.75

Descriptive statistics

Standard deviation1775.503
Coefficient of variation (CV)1.9064457
Kurtosis7.2283987
Mean931.31579
Median Absolute Deviation (MAD)102
Skewness2.6770382
Sum35390
Variance3152411
MonotonicityNot monotonic
2023-12-12T21:31:21.293367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
66 3
 
7.9%
1 2
 
5.3%
5 2
 
5.3%
0 2
 
5.3%
500 1
 
2.6%
8 1
 
2.6%
327 1
 
2.6%
3890 1
 
2.6%
714 1
 
2.6%
249 1
 
2.6%
Other values (23) 23
60.5%
ValueCountFrequency (%)
0 2
5.3%
1 2
5.3%
3 1
2.6%
4 1
2.6%
5 2
5.3%
8 1
2.6%
13 1
2.6%
16 1
2.6%
21 1
2.6%
22 1
2.6%
ValueCountFrequency (%)
7910 1
2.6%
6070 1
2.6%
4151 1
2.6%
3890 1
2.6%
2756 1
2.6%
1472 1
2.6%
1383 1
2.6%
1275 1
2.6%
1228 1
2.6%
959 1
2.6%

미국
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.315789
Minimum0
Maximum393
Zeros12
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:21.405145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q337
95-th percentile187.2
Maximum393
Range393
Interquartile range (IQR)37

Descriptive statistics

Standard deviation80.553191
Coefficient of variation (CV)2.0488763
Kurtosis10.428101
Mean39.315789
Median Absolute Deviation (MAD)3.5
Skewness3.0926574
Sum1494
Variance6488.8165
MonotonicityNot monotonic
2023-12-12T21:31:21.532382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 12
31.6%
1 4
 
10.5%
3 2
 
5.3%
168 1
 
2.6%
245 1
 
2.6%
4 1
 
2.6%
393 1
 
2.6%
44 1
 
2.6%
31 1
 
2.6%
51 1
 
2.6%
Other values (13) 13
34.2%
ValueCountFrequency (%)
0 12
31.6%
1 4
 
10.5%
2 1
 
2.6%
3 2
 
5.3%
4 1
 
2.6%
7 1
 
2.6%
14 1
 
2.6%
15 1
 
2.6%
19 1
 
2.6%
21 1
 
2.6%
ValueCountFrequency (%)
393 1
2.6%
245 1
2.6%
177 1
2.6%
168 1
2.6%
97 1
2.6%
63 1
2.6%
51 1
2.6%
44 1
2.6%
41 1
2.6%
39 1
2.6%

중국
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450.42105
Minimum0
Maximum3531
Zeros5
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:21.673538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median41
Q3396.25
95-th percentile2438.65
Maximum3531
Range3531
Interquartile range (IQR)392.75

Descriptive statistics

Standard deviation846.16153
Coefficient of variation (CV)1.8786012
Kurtosis5.2416019
Mean450.42105
Median Absolute Deviation (MAD)41
Skewness2.4081365
Sum17116
Variance715989.33
MonotonicityNot monotonic
2023-12-12T21:31:22.154560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 5
 
13.2%
1 3
 
7.9%
269 1
 
2.6%
2419 1
 
2.6%
379 1
 
2.6%
45 1
 
2.6%
107 1
 
2.6%
360 1
 
2.6%
882 1
 
2.6%
500 1
 
2.6%
Other values (22) 22
57.9%
ValueCountFrequency (%)
0 5
13.2%
1 3
7.9%
2 1
 
2.6%
3 1
 
2.6%
5 1
 
2.6%
6 1
 
2.6%
10 1
 
2.6%
12 1
 
2.6%
14 1
 
2.6%
21 1
 
2.6%
ValueCountFrequency (%)
3531 1
2.6%
2550 1
2.6%
2419 1
2.6%
2278 1
2.6%
1326 1
2.6%
882 1
2.6%
711 1
2.6%
500 1
2.6%
463 1
2.6%
402 1
2.6%

일본
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum0
Maximum28
Zeros21
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:22.291322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.5
95-th percentile16.2
Maximum28
Range28
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation6.5543466
Coefficient of variation (CV)1.8726705
Kurtosis6.0765508
Mean3.5
Median Absolute Deviation (MAD)0
Skewness2.477859
Sum133
Variance42.959459
MonotonicityNot monotonic
2023-12-12T21:31:22.401105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 21
55.3%
2 3
 
7.9%
5 3
 
7.9%
6 2
 
5.3%
13 2
 
5.3%
3 2
 
5.3%
1 2
 
5.3%
15 1
 
2.6%
28 1
 
2.6%
23 1
 
2.6%
ValueCountFrequency (%)
0 21
55.3%
1 2
 
5.3%
2 3
 
7.9%
3 2
 
5.3%
5 3
 
7.9%
6 2
 
5.3%
13 2
 
5.3%
15 1
 
2.6%
23 1
 
2.6%
28 1
 
2.6%
ValueCountFrequency (%)
28 1
 
2.6%
23 1
 
2.6%
15 1
 
2.6%
13 2
 
5.3%
6 2
 
5.3%
5 3
 
7.9%
3 2
 
5.3%
2 3
 
7.9%
1 2
 
5.3%
0 21
55.3%

몽골
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.526316
Minimum0
Maximum274
Zeros17
Zeros (%)44.7%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:22.605417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q321.75
95-th percentile190.15
Maximum274
Range274
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation64.81939
Coefficient of variation (CV)2.1233938
Kurtosis6.2089706
Mean30.526316
Median Absolute Deviation (MAD)1.5
Skewness2.6126212
Sum1160
Variance4201.5533
MonotonicityNot monotonic
2023-12-12T21:31:22.715292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 17
44.7%
22 2
 
5.3%
1 2
 
5.3%
7 2
 
5.3%
44 2
 
5.3%
3 1
 
2.6%
173 1
 
2.6%
274 1
 
2.6%
21 1
 
2.6%
13 1
 
2.6%
Other values (8) 8
21.1%
ValueCountFrequency (%)
0 17
44.7%
1 2
 
5.3%
2 1
 
2.6%
3 1
 
2.6%
4 1
 
2.6%
6 1
 
2.6%
7 2
 
5.3%
13 1
 
2.6%
15 1
 
2.6%
21 1
 
2.6%
ValueCountFrequency (%)
274 1
2.6%
191 1
2.6%
190 1
2.6%
173 1
2.6%
71 1
2.6%
49 1
2.6%
44 2
5.3%
22 2
5.3%
21 1
2.6%
15 1
2.6%

베트남
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.736842
Minimum0
Maximum796
Zeros13
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:22.843349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q367
95-th percentile322.25
Maximum796
Range796
Interquartile range (IQR)67

Descriptive statistics

Standard deviation159.51052
Coefficient of variation (CV)2.192981
Kurtosis12.662406
Mean72.736842
Median Absolute Deviation (MAD)7
Skewness3.4183824
Sum2764
Variance25443.605
MonotonicityNot monotonic
2023-12-12T21:31:22.986783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 13
34.2%
3 3
 
7.9%
7 2
 
5.3%
284 1
 
2.6%
539 1
 
2.6%
796 1
 
2.6%
2 1
 
2.6%
69 1
 
2.6%
87 1
 
2.6%
34 1
 
2.6%
Other values (13) 13
34.2%
ValueCountFrequency (%)
0 13
34.2%
1 1
 
2.6%
2 1
 
2.6%
3 3
 
7.9%
7 2
 
5.3%
9 1
 
2.6%
11 1
 
2.6%
13 1
 
2.6%
34 1
 
2.6%
36 1
 
2.6%
ValueCountFrequency (%)
796 1
2.6%
539 1
2.6%
284 1
2.6%
233 1
2.6%
176 1
2.6%
115 1
2.6%
96 1
2.6%
87 1
2.6%
73 1
2.6%
69 1
2.6%

태국
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.815789
Minimum0
Maximum979
Zeros14
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:23.133750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q321
95-th percentile580.1
Maximum979
Range979
Interquartile range (IQR)21

Descriptive statistics

Standard deviation213.82752
Coefficient of variation (CV)2.7130036
Kurtosis9.8909451
Mean78.815789
Median Absolute Deviation (MAD)3.5
Skewness3.190944
Sum2995
Variance45722.208
MonotonicityNot monotonic
2023-12-12T21:31:23.279668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 14
36.8%
4 3
 
7.9%
1 2
 
5.3%
3 2
 
5.3%
17 1
 
2.6%
979 1
 
2.6%
398 1
 
2.6%
560 1
 
2.6%
694 1
 
2.6%
14 1
 
2.6%
Other values (11) 11
28.9%
ValueCountFrequency (%)
0 14
36.8%
1 2
 
5.3%
2 1
 
2.6%
3 2
 
5.3%
4 3
 
7.9%
5 1
 
2.6%
9 1
 
2.6%
11 1
 
2.6%
14 1
 
2.6%
17 1
 
2.6%
ValueCountFrequency (%)
979 1
2.6%
694 1
2.6%
560 1
2.6%
398 1
2.6%
71 1
2.6%
68 1
2.6%
56 1
2.6%
26 1
2.6%
25 1
2.6%
22 1
2.6%

대만
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.631579
Minimum0
Maximum72
Zeros14
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:23.420940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q39
95-th percentile57.4
Maximum72
Range72
Interquartile range (IQR)9

Descriptive statistics

Standard deviation19.9356
Coefficient of variation (CV)1.7139204
Kurtosis3.3832571
Mean11.631579
Median Absolute Deviation (MAD)3
Skewness2.0854915
Sum442
Variance397.42817
MonotonicityNot monotonic
2023-12-12T21:31:23.550666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 14
36.8%
3 3
 
7.9%
9 3
 
7.9%
1 2
 
5.3%
8 2
 
5.3%
2 2
 
5.3%
20 1
 
2.6%
71 1
 
2.6%
35 1
 
2.6%
55 1
 
2.6%
Other values (8) 8
21.1%
ValueCountFrequency (%)
0 14
36.8%
1 2
 
5.3%
2 2
 
5.3%
3 3
 
7.9%
4 1
 
2.6%
5 1
 
2.6%
7 1
 
2.6%
8 2
 
5.3%
9 3
 
7.9%
10 1
 
2.6%
ValueCountFrequency (%)
72 1
 
2.6%
71 1
 
2.6%
55 1
 
2.6%
52 1
 
2.6%
38 1
 
2.6%
35 1
 
2.6%
20 1
 
2.6%
15 1
 
2.6%
10 1
 
2.6%
9 3
7.9%

러시아
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.210526
Minimum0
Maximum334
Zeros10
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:23.716404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median4.5
Q331.5
95-th percentile177.9
Maximum334
Range334
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation78.624375
Coefficient of variation (CV)2.0576627
Kurtosis8.5816671
Mean38.210526
Median Absolute Deviation (MAD)4.5
Skewness2.9261756
Sum1452
Variance6181.7923
MonotonicityNot monotonic
2023-12-12T21:31:23.866907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 10
26.3%
1 4
 
10.5%
2 3
 
7.9%
9 2
 
5.3%
25 1
 
2.6%
4 1
 
2.6%
334 1
 
2.6%
3 1
 
2.6%
319 1
 
2.6%
14 1
 
2.6%
Other values (13) 13
34.2%
ValueCountFrequency (%)
0 10
26.3%
1 4
 
10.5%
2 3
 
7.9%
3 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
6 1
 
2.6%
8 1
 
2.6%
9 2
 
5.3%
14 1
 
2.6%
ValueCountFrequency (%)
334 1
2.6%
319 1
2.6%
153 1
2.6%
147 1
2.6%
81 1
2.6%
79 1
2.6%
75 1
2.6%
47 1
2.6%
42 1
2.6%
32 1
2.6%

방글라데시
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5263158
Minimum0
Maximum43
Zeros20
Zeros (%)52.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:24.061489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile19.9
Maximum43
Range43
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.7138809
Coefficient of variation (CV)1.9251597
Kurtosis10.200073
Mean4.5263158
Median Absolute Deviation (MAD)0
Skewness2.9667863
Sum172
Variance75.931721
MonotonicityNot monotonic
2023-12-12T21:31:24.233523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 20
52.6%
4 4
 
10.5%
6 2
 
5.3%
11 2
 
5.3%
2 2
 
5.3%
1 2
 
5.3%
19 1
 
2.6%
3 1
 
2.6%
10 1
 
2.6%
16 1
 
2.6%
Other values (2) 2
 
5.3%
ValueCountFrequency (%)
0 20
52.6%
1 2
 
5.3%
2 2
 
5.3%
3 1
 
2.6%
4 4
 
10.5%
6 2
 
5.3%
10 1
 
2.6%
11 2
 
5.3%
16 1
 
2.6%
19 1
 
2.6%
ValueCountFrequency (%)
43 1
 
2.6%
25 1
 
2.6%
19 1
 
2.6%
16 1
 
2.6%
11 2
5.3%
10 1
 
2.6%
6 2
5.3%
4 4
10.5%
3 1
 
2.6%
2 2
5.3%

스리랑카
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7
Minimum0
Maximum108
Zeros18
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:24.376882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile25.1
Maximum108
Range108
Interquartile range (IQR)5

Descriptive statistics

Standard deviation18.516611
Coefficient of variation (CV)2.6452301
Kurtosis25.134797
Mean7
Median Absolute Deviation (MAD)1
Skewness4.7440336
Sum266
Variance342.86486
MonotonicityNot monotonic
2023-12-12T21:31:24.526510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 18
47.4%
1 4
 
10.5%
2 2
 
5.3%
3 2
 
5.3%
5 2
 
5.3%
10 2
 
5.3%
17 1
 
2.6%
9 1
 
2.6%
23 1
 
2.6%
8 1
 
2.6%
Other values (4) 4
 
10.5%
ValueCountFrequency (%)
0 18
47.4%
1 4
 
10.5%
2 2
 
5.3%
3 2
 
5.3%
4 1
 
2.6%
5 2
 
5.3%
8 1
 
2.6%
9 1
 
2.6%
10 2
 
5.3%
16 1
 
2.6%
ValueCountFrequency (%)
108 1
2.6%
37 1
2.6%
23 1
2.6%
17 1
2.6%
16 1
2.6%
10 2
5.3%
9 1
2.6%
8 1
2.6%
5 2
5.3%
4 1
2.6%

우즈베키스탄
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.026316
Minimum0
Maximum701
Zeros7
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:24.698318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q335.5
95-th percentile194.9
Maximum701
Range701
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation121.89727
Coefficient of variation (CV)2.4863641
Kurtosis23.020817
Mean49.026316
Median Absolute Deviation (MAD)6
Skewness4.4974493
Sum1863
Variance14858.945
MonotonicityNot monotonic
2023-12-12T21:31:24.884789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 7
18.4%
1 6
15.8%
2 5
13.2%
18 2
 
5.3%
37 1
 
2.6%
234 1
 
2.6%
9 1
 
2.6%
701 1
 
2.6%
26 1
 
2.6%
85 1
 
2.6%
Other values (12) 12
31.6%
ValueCountFrequency (%)
0 7
18.4%
1 6
15.8%
2 5
13.2%
5 1
 
2.6%
7 1
 
2.6%
9 1
 
2.6%
15 1
 
2.6%
16 1
 
2.6%
18 2
 
5.3%
26 1
 
2.6%
ValueCountFrequency (%)
701 1
2.6%
234 1
2.6%
188 1
2.6%
164 1
2.6%
109 1
2.6%
85 1
2.6%
69 1
2.6%
46 1
2.6%
39 1
2.6%
37 1
2.6%

인도네시아
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7631579
Minimum0
Maximum95
Zeros24
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:25.102310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile29.45
Maximum95
Range95
Interquartile range (IQR)2

Descriptive statistics

Standard deviation16.711275
Coefficient of variation (CV)2.8996733
Kurtosis22.92866
Mean5.7631579
Median Absolute Deviation (MAD)0
Skewness4.5194316
Sum219
Variance279.26671
MonotonicityNot monotonic
2023-12-12T21:31:25.281800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 24
63.2%
1 3
 
7.9%
7 2
 
5.3%
2 2
 
5.3%
12 1
 
2.6%
6 1
 
2.6%
29 1
 
2.6%
20 1
 
2.6%
4 1
 
2.6%
95 1
 
2.6%
ValueCountFrequency (%)
0 24
63.2%
1 3
 
7.9%
2 2
 
5.3%
4 1
 
2.6%
6 1
 
2.6%
7 2
 
5.3%
12 1
 
2.6%
20 1
 
2.6%
29 1
 
2.6%
32 1
 
2.6%
ValueCountFrequency (%)
95 1
 
2.6%
32 1
 
2.6%
29 1
 
2.6%
20 1
 
2.6%
12 1
 
2.6%
7 2
5.3%
6 1
 
2.6%
4 1
 
2.6%
2 2
5.3%
1 3
7.9%

캐나다
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3421053
Minimum0
Maximum63
Zeros18
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:25.443604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37.75
95-th percentile39
Maximum63
Range63
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation14.816492
Coefficient of variation (CV)2.0180169
Kurtosis7.3576151
Mean7.3421053
Median Absolute Deviation (MAD)1
Skewness2.7375422
Sum279
Variance219.52845
MonotonicityNot monotonic
2023-12-12T21:31:25.619332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 18
47.4%
1 4
 
10.5%
2 2
 
5.3%
10 2
 
5.3%
4 2
 
5.3%
23 1
 
2.6%
9 1
 
2.6%
25 1
 
2.6%
7 1
 
2.6%
3 1
 
2.6%
Other values (5) 5
 
13.2%
ValueCountFrequency (%)
0 18
47.4%
1 4
 
10.5%
2 2
 
5.3%
3 1
 
2.6%
4 2
 
5.3%
7 1
 
2.6%
8 1
 
2.6%
9 1
 
2.6%
10 2
 
5.3%
13 1
 
2.6%
ValueCountFrequency (%)
63 1
2.6%
56 1
2.6%
36 1
2.6%
25 1
2.6%
23 1
2.6%
13 1
2.6%
10 2
5.3%
9 1
2.6%
8 1
2.6%
7 1
2.6%

키르기스스탄
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4473684
Minimum0
Maximum46
Zeros18
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:25.776710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33.75
95-th percentile21.3
Maximum46
Range46
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation10.082625
Coefficient of variation (CV)2.267099
Kurtosis10.992249
Mean4.4473684
Median Absolute Deviation (MAD)1
Skewness3.2981832
Sum169
Variance101.65932
MonotonicityNot monotonic
2023-12-12T21:31:25.935477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 18
47.4%
1 7
 
18.4%
7 3
 
7.9%
2 2
 
5.3%
3 1
 
2.6%
15 1
 
2.6%
18 1
 
2.6%
6 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
Other values (2) 2
 
5.3%
ValueCountFrequency (%)
0 18
47.4%
1 7
 
18.4%
2 2
 
5.3%
3 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
6 1
 
2.6%
7 3
 
7.9%
15 1
 
2.6%
18 1
 
2.6%
ValueCountFrequency (%)
46 1
 
2.6%
40 1
 
2.6%
18 1
 
2.6%
15 1
 
2.6%
7 3
7.9%
6 1
 
2.6%
5 1
 
2.6%
4 1
 
2.6%
3 1
 
2.6%
2 2
5.3%

필리핀
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum0
Maximum97
Zeros20
Zeros (%)52.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:26.101624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38.75
95-th percentile69.5
Maximum97
Range97
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation25.256522
Coefficient of variation (CV)2.1047101
Kurtosis5.5099505
Mean12
Median Absolute Deviation (MAD)0
Skewness2.4922719
Sum456
Variance637.89189
MonotonicityNot monotonic
2023-12-12T21:31:26.271525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 20
52.6%
1 2
 
5.3%
11 2
 
5.3%
3 2
 
5.3%
5 2
 
5.3%
2 1
 
2.6%
33 1
 
2.6%
8 1
 
2.6%
54 1
 
2.6%
10 1
 
2.6%
Other values (5) 5
 
13.2%
ValueCountFrequency (%)
0 20
52.6%
1 2
 
5.3%
2 1
 
2.6%
3 2
 
5.3%
5 2
 
5.3%
8 1
 
2.6%
9 1
 
2.6%
10 1
 
2.6%
11 2
 
5.3%
33 1
 
2.6%
ValueCountFrequency (%)
97 1
2.6%
95 1
2.6%
65 1
2.6%
54 1
2.6%
43 1
2.6%
33 1
2.6%
11 2
5.3%
10 1
2.6%
9 1
2.6%
8 1
2.6%

파키스탄
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4210526
Minimum0
Maximum179
Zeros21
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:26.451404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.75
95-th percentile29.45
Maximum179
Range179
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation29.914863
Coefficient of variation (CV)3.1753206
Kurtosis29.675491
Mean9.4210526
Median Absolute Deviation (MAD)0
Skewness5.2494589
Sum358
Variance894.899
MonotonicityNot monotonic
2023-12-12T21:31:26.622225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 21
55.3%
1 2
 
5.3%
2 2
 
5.3%
21 2
 
5.3%
10 2
 
5.3%
4 2
 
5.3%
8 1
 
2.6%
12 1
 
2.6%
26 1
 
2.6%
5 1
 
2.6%
Other values (3) 3
 
7.9%
ValueCountFrequency (%)
0 21
55.3%
1 2
 
5.3%
2 2
 
5.3%
3 1
 
2.6%
4 2
 
5.3%
5 1
 
2.6%
8 1
 
2.6%
10 2
 
5.3%
12 1
 
2.6%
21 2
 
5.3%
ValueCountFrequency (%)
179 1
2.6%
49 1
2.6%
26 1
2.6%
21 2
5.3%
12 1
2.6%
10 2
5.3%
8 1
2.6%
5 1
2.6%
4 2
5.3%
3 1
2.6%

기타
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.63158
Minimum0
Maximum938
Zeros5
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:31:26.841425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median14.5
Q3100
95-th percentile509.05
Maximum938
Range938
Interquartile range (IQR)99

Descriptive statistics

Standard deviation211.43096
Coefficient of variation (CV)1.9828175
Kurtosis7.6412355
Mean106.63158
Median Absolute Deviation (MAD)14.5
Skewness2.7626015
Sum4052
Variance44703.05
MonotonicityNot monotonic
2023-12-12T21:31:27.062375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 7
18.4%
0 5
 
13.2%
5 2
 
5.3%
14 2
 
5.3%
51 2
 
5.3%
101 2
 
5.3%
3 1
 
2.6%
29 1
 
2.6%
753 1
 
2.6%
2 1
 
2.6%
Other values (14) 14
36.8%
ValueCountFrequency (%)
0 5
13.2%
1 7
18.4%
2 1
 
2.6%
3 1
 
2.6%
5 2
 
5.3%
7 1
 
2.6%
14 2
 
5.3%
15 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
ValueCountFrequency (%)
938 1
2.6%
753 1
2.6%
466 1
2.6%
404 1
2.6%
385 1
2.6%
186 1
2.6%
133 1
2.6%
103 1
2.6%
101 2
5.3%
97 1
2.6%

Sample

범죄대분류범죄중분류한국소계미국중국일본몽골베트남태국대만러시아방글라데시스리랑카우즈베키스탄인도네시아캐나다키르기스스탄필리핀파키스탄기타
0강력범죄살인기수31625012003400012000003
1강력범죄살인미수등40351224009402001001017
2강력범죄강도1136660210433224250030215
3강력범죄강간5974139213706734801150221824
4강력범죄유사강간9122216023011002010005
5강력범죄강제추행15956426261722221322325431802122190
6강력범죄기타 강간 강제추행등346301000001001000000
7강력범죄방화117521014010104000000001
8절도범죄소계9566927569713261519017656521536171881223153312385
9폭력범죄상해42277127541711644962697911969797810133
범죄대분류범죄중분류한국소계미국중국일본몽골베트남태국대만러시아방글라데시스리랑카우즈베키스탄인도네시아캐나다키르기스스탄필리핀파키스탄기타
28특별경제범죄소계66676122851882621341420306330213553103
29마약범죄소계102471383312692787694775110850873097
30보건범죄소계20338147244500576956015812026410097151
31환경범죄소계42636612210200141021015214
32교통범죄소계348536791039335311327479639855319431087019556469549938
33노동범죄소계6001303000403001000002
34안보범죄소계62157050000352009001005
35선거범죄소계1545000000000000000000
36병역범죄소계3159540000000000000001
37기타범죄소계238469607024522782317353997971334253723432634065179753