Overview

Dataset statistics

Number of variables24
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.1 KiB
Average record size in memory215.8 B

Variable types

Text1
Numeric23

Dataset

Description대검찰청에서 발간하는 범죄분석은 3종의 범죄통계원표를 기반으로 작성하는 자료이며 이 중 본 데이터는 범죄자의 연령에 관한 통계임. (단위: 명)
Author대검찰청
URLhttps://www.data.go.kr/data/15085983/fileData.do

Alerts

범죄분류 has unique valuesUnique
14세미만 has 134 (82.7%) zerosZeros
14세 has 110 (67.9%) zerosZeros
15세 has 103 (63.6%) zerosZeros
16세 has 88 (54.3%) zerosZeros
17세 has 88 (54.3%) zerosZeros
18세 has 81 (50.0%) zerosZeros
19세 has 73 (45.1%) zerosZeros
20세 has 69 (42.6%) zerosZeros
21세 has 57 (35.2%) zerosZeros
22세 has 47 (29.0%) zerosZeros
23세 has 44 (27.2%) zerosZeros
24세 has 36 (22.2%) zerosZeros
25세 has 30 (18.5%) zerosZeros
26_30세 has 7 (4.3%) zerosZeros
31_35세 has 5 (3.1%) zerosZeros
36_40세 has 4 (2.5%) zerosZeros
41_45세 has 2 (1.2%) zerosZeros
46_50세 has 3 (1.9%) zerosZeros
51_55세 has 2 (1.2%) zerosZeros
61_70세 has 2 (1.2%) zerosZeros
71세이상 has 13 (8.0%) zerosZeros
미상 has 6 (3.7%) zerosZeros

Reproduction

Analysis started2023-12-12 21:26:14.994948
Analysis finished2023-12-12 21:26:15.323605
Duration0.33 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
2023-12-13T06:26:15.513822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length8.037037
Min length2

Characters and Unicode

Total characters1302
Distinct characters225
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
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 (%)
절도 1
 
0.6%
약사법 1
 
0.6%
사행행위등규제및처벌특례법 1
 
0.6%
성매매알선등행위의처벌에관한법률 1
 
0.6%
산림자원의조성및관리에관한법률 1
 
0.6%
산업안전보건법 1
 
0.6%
산지관리법 1
 
0.6%
상표법 1
 
0.6%
석유및석유대체연료사업법 1
 
0.6%
선박안전법 1
 
0.6%
Other values (152) 152
93.8%
2023-12-13T06:26:15.935811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
법 114
 
8.8%
관 67
 
5.1%
한 41
 
3.1%
에 40
 
3.1%
률 34
 
2.6%
리 31
 
2.4%
의 27
 
2.1%
보 26
 
2.0%
및 23
 
1.8%
업 19
 
1.5%
Other values (215) 880
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1268
97.4%
Open Punctuation 12
 
0.9%
Close Punctuation 12
 
0.9%
Other Punctuation 10
 
0.8%

Most frequent character per category

Other Letter
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%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
· 2
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1268
97.4%
Common 34
 
2.6%

Most frequent character per script

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%
Common
ValueCountFrequency (%)
( 12
35.3%
) 12
35.3%
, 8
23.5%
· 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1268
97.4%
ASCII 32
 
2.5%
None 2
 
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 (%)
( 12
37.5%
) 12
37.5%
, 8
25.0%
None
ValueCountFrequency (%)
· 2
100.0%

14세미만
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57407407
Minimum0
Maximum18
Zeros134
Zeros (%)82.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:16.062098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.9585949
Coefficient of variation (CV)3.4117459
Kurtosis42.328894
Mean0.57407407
Median Absolute Deviation (MAD)0
Skewness5.7860506
Sum93
Variance3.8360939
MonotonicityNot monotonic
2023-12-13T06:26:16.172071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 134
82.7%
1 11
 
6.8%
3 5
 
3.1%
2 5
 
3.1%
8 1
 
0.6%
7 1
 
0.6%
5 1
 
0.6%
4 1
 
0.6%
6 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
0 134
82.7%
1 11
 
6.8%
2 5
 
3.1%
3 5
 
3.1%
4 1
 
0.6%
5 1
 
0.6%
6 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
18 1
 
0.6%
9 1
 
0.6%
8 1
 
0.6%
7 1
 
0.6%
6 1
 
0.6%
5 1
 
0.6%
4 1
 
0.6%
3 5
3.1%
2 5
3.1%
1 11
6.8%

14세
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.549383
Minimum0
Maximum3785
Zeros110
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:16.314473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile109.7
Maximum3785
Range3785
Interquartile range (IQR)3

Descriptive statistics

Standard deviation313.18421
Coefficient of variation (CV)6.5865042
Kurtosis128.27092
Mean47.549383
Median Absolute Deviation (MAD)0
Skewness10.904838
Sum7703
Variance98084.348
MonotonicityNot monotonic
2023-12-13T06:26:16.454368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 110
67.9%
1 5
 
3.1%
2 5
 
3.1%
4 3
 
1.9%
3 3
 
1.9%
10 2
 
1.2%
6 2
 
1.2%
19 2
 
1.2%
7 2
 
1.2%
9 2
 
1.2%
Other values (26) 26
 
16.0%
ValueCountFrequency (%)
0 110
67.9%
1 5
 
3.1%
2 5
 
3.1%
3 3
 
1.9%
4 3
 
1.9%
6 2
 
1.2%
7 2
 
1.2%
9 2
 
1.2%
10 2
 
1.2%
12 1
 
0.6%
ValueCountFrequency (%)
3785 1
0.6%
952 1
0.6%
681 1
0.6%
353 1
0.6%
345 1
0.6%
279 1
0.6%
272 1
0.6%
113 1
0.6%
110 1
0.6%
104 1
0.6%

15세
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.395062
Minimum0
Maximum5081
Zeros103
Zeros (%)63.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:16.600568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.75
95-th percentile181.7
Maximum5081
Range5081
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation436.22554
Coefficient of variation (CV)5.7101275
Kurtosis109.8541
Mean76.395062
Median Absolute Deviation (MAD)0
Skewness9.9069468
Sum12376
Variance190292.72
MonotonicityNot monotonic
2023-12-13T06:26:16.735307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 103
63.6%
1 8
 
4.9%
20 3
 
1.9%
42 2
 
1.2%
9 2
 
1.2%
11 2
 
1.2%
2 2
 
1.2%
10 2
 
1.2%
6 2
 
1.2%
5 2
 
1.2%
Other values (32) 34
 
21.0%
ValueCountFrequency (%)
0 103
63.6%
1 8
 
4.9%
2 2
 
1.2%
3 1
 
0.6%
4 1
 
0.6%
5 2
 
1.2%
6 2
 
1.2%
9 2
 
1.2%
10 2
 
1.2%
11 2
 
1.2%
ValueCountFrequency (%)
5081 1
0.6%
1573 1
0.6%
1090 1
0.6%
923 1
0.6%
770 1
0.6%
561 1
0.6%
379 1
0.6%
189 1
0.6%
182 1
0.6%
176 1
0.6%

16세
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.17901
Minimum0
Maximum5138
Zeros88
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:16.890681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312.75
95-th percentile368.55
Maximum5138
Range5138
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation471.06367
Coefficient of variation (CV)4.6557449
Kurtosis84.031784
Mean101.17901
Median Absolute Deviation (MAD)0
Skewness8.4727408
Sum16391
Variance221900.98
MonotonicityNot monotonic
2023-12-13T06:26:17.038161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 88
54.3%
1 11
 
6.8%
2 11
 
6.8%
29 2
 
1.2%
6 2
 
1.2%
79 2
 
1.2%
13 2
 
1.2%
10 2
 
1.2%
53 2
 
1.2%
8 2
 
1.2%
Other values (37) 38
23.5%
ValueCountFrequency (%)
0 88
54.3%
1 11
 
6.8%
2 11
 
6.8%
3 1
 
0.6%
6 2
 
1.2%
7 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
10 2
 
1.2%
11 1
 
0.6%
ValueCountFrequency (%)
5138 1
0.6%
2085 1
0.6%
1295 1
0.6%
1278 1
0.6%
1267 1
0.6%
691 1
0.6%
662 1
0.6%
398 1
0.6%
371 1
0.6%
322 1
0.6%

17세
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.14815
Minimum0
Maximum3486
Zeros88
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:17.193285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q321
95-th percentile412.8
Maximum3486
Range3486
Interquartile range (IQR)21

Descriptive statistics

Standard deviation412.82826
Coefficient of variation (CV)3.8528735
Kurtosis39.512097
Mean107.14815
Median Absolute Deviation (MAD)0
Skewness5.9425784
Sum17358
Variance170427.17
MonotonicityNot monotonic
2023-12-13T06:26:17.392837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
54.3%
1 6
 
3.7%
3 5
 
3.1%
2 4
 
2.5%
4 3
 
1.9%
22 2
 
1.2%
6 2
 
1.2%
32 2
 
1.2%
12 2
 
1.2%
11 2
 
1.2%
Other values (46) 46
28.4%
ValueCountFrequency (%)
0 88
54.3%
1 6
 
3.7%
2 4
 
2.5%
3 5
 
3.1%
4 3
 
1.9%
5 1
 
0.6%
6 2
 
1.2%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
3486 1
0.6%
2710 1
0.6%
1845 1
0.6%
1589 1
0.6%
1090 1
0.6%
915 1
0.6%
711 1
0.6%
628 1
0.6%
415 1
0.6%
371 1
0.6%

18세
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.28395
Minimum0
Maximum4196
Zeros81
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:17.541810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q319.75
95-th percentile528.55
Maximum4196
Range4196
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation454.41379
Coefficient of variation (CV)3.9077946
Kurtosis47.310104
Mean116.28395
Median Absolute Deviation (MAD)0.5
Skewness6.3837756
Sum18838
Variance206491.89
MonotonicityNot monotonic
2023-12-13T06:26:17.679775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
50.0%
1 15
 
9.3%
4 4
 
2.5%
5 3
 
1.9%
9 2
 
1.2%
348 2
 
1.2%
20 2
 
1.2%
10 2
 
1.2%
6 2
 
1.2%
68 2
 
1.2%
Other values (45) 47
29.0%
ValueCountFrequency (%)
0 81
50.0%
1 15
 
9.3%
2 2
 
1.2%
3 1
 
0.6%
4 4
 
2.5%
5 3
 
1.9%
6 2
 
1.2%
7 1
 
0.6%
8 1
 
0.6%
9 2
 
1.2%
ValueCountFrequency (%)
4196 1
0.6%
2510 1
0.6%
1983 1
0.6%
1877 1
0.6%
1106 1
0.6%
770 1
0.6%
768 1
0.6%
696 1
0.6%
536 1
0.6%
387 1
0.6%

19세
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.90123
Minimum0
Maximum4730
Zeros73
Zeros (%)45.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:17.840352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q328.25
95-th percentile518.65
Maximum4730
Range4730
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation509.07722
Coefficient of variation (CV)3.9493588
Kurtosis50.242395
Mean128.90123
Median Absolute Deviation (MAD)1
Skewness6.6303018
Sum20882
Variance259159.62
MonotonicityNot monotonic
2023-12-13T06:26:17.992448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73
45.1%
1 12
 
7.4%
2 5
 
3.1%
12 4
 
2.5%
4 3
 
1.9%
3 3
 
1.9%
13 3
 
1.9%
6 3
 
1.9%
22 2
 
1.2%
64 2
 
1.2%
Other values (48) 52
32.1%
ValueCountFrequency (%)
0 73
45.1%
1 12
 
7.4%
2 5
 
3.1%
3 3
 
1.9%
4 3
 
1.9%
5 1
 
0.6%
6 3
 
1.9%
9 1
 
0.6%
11 2
 
1.2%
12 4
 
2.5%
ValueCountFrequency (%)
4730 1
0.6%
3120 1
0.6%
2193 1
0.6%
1737 1
0.6%
1297 1
0.6%
734 1
0.6%
624 1
0.6%
617 1
0.6%
520 1
0.6%
493 1
0.6%

20세
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.7284
Minimum0
Maximum3898
Zeros69
Zeros (%)42.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:18.184014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q327.75
95-th percentile513.8
Maximum3898
Range3898
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation457.42215
Coefficient of variation (CV)3.8204984
Kurtosis45.635514
Mean119.7284
Median Absolute Deviation (MAD)2
Skewness6.4152067
Sum19396
Variance209235.02
MonotonicityNot monotonic
2023-12-13T06:26:18.355079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
42.6%
1 10
 
6.2%
2 10
 
6.2%
17 5
 
3.1%
6 3
 
1.9%
9 3
 
1.9%
7 3
 
1.9%
5 3
 
1.9%
23 2
 
1.2%
47 2
 
1.2%
Other values (48) 52
32.1%
ValueCountFrequency (%)
0 69
42.6%
1 10
 
6.2%
2 10
 
6.2%
3 2
 
1.2%
4 1
 
0.6%
5 3
 
1.9%
6 3
 
1.9%
7 3
 
1.9%
8 1
 
0.6%
9 3
 
1.9%
ValueCountFrequency (%)
3898 1
0.6%
3374 1
0.6%
1961 1
0.6%
1319 1
0.6%
1083 1
0.6%
700 1
0.6%
625 1
0.6%
553 1
0.6%
517 1
0.6%
453 1
0.6%

21세
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.15432
Minimum0
Maximum4049
Zeros57
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:18.535343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q334.75
95-th percentile448.9
Maximum4049
Range4049
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation465.77276
Coefficient of variation (CV)3.7215876
Kurtosis43.935305
Mean125.15432
Median Absolute Deviation (MAD)2
Skewness6.2379384
Sum20275
Variance216944.27
MonotonicityNot monotonic
2023-12-13T06:26:18.685469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
35.2%
1 16
 
9.9%
2 10
 
6.2%
4 6
 
3.7%
5 4
 
2.5%
20 3
 
1.9%
3 3
 
1.9%
32 2
 
1.2%
7 2
 
1.2%
17 2
 
1.2%
Other values (54) 57
35.2%
ValueCountFrequency (%)
0 57
35.2%
1 16
 
9.9%
2 10
 
6.2%
3 3
 
1.9%
4 6
 
3.7%
5 4
 
2.5%
6 2
 
1.2%
7 2
 
1.2%
10 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
4049 1
0.6%
3204 1
0.6%
1921 1
0.6%
1364 1
0.6%
1360 1
0.6%
1095 1
0.6%
655 1
0.6%
527 1
0.6%
449 1
0.6%
447 1
0.6%

22세
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.39506
Minimum0
Maximum4708
Zeros47
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:18.851506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q345
95-th percentile522.3
Maximum4708
Range4708
Interquartile range (IQR)45

Descriptive statistics

Standard deviation539.4014
Coefficient of variation (CV)3.6105705
Kurtosis40.54341
Mean149.39506
Median Absolute Deviation (MAD)3
Skewness5.9413087
Sum24202
Variance290953.87
MonotonicityNot monotonic
2023-12-13T06:26:19.321849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
29.0%
1 23
 
14.2%
3 7
 
4.3%
2 6
 
3.7%
5 4
 
2.5%
8 4
 
2.5%
12 3
 
1.9%
6 2
 
1.2%
30 2
 
1.2%
68 2
 
1.2%
Other values (55) 62
38.3%
ValueCountFrequency (%)
0 47
29.0%
1 23
14.2%
2 6
 
3.7%
3 7
 
4.3%
4 2
 
1.2%
5 4
 
2.5%
6 2
 
1.2%
7 1
 
0.6%
8 4
 
2.5%
9 1
 
0.6%
ValueCountFrequency (%)
4708 1
0.6%
3333 1
0.6%
2103 1
0.6%
1976 1
0.6%
1852 1
0.6%
1512 1
0.6%
832 1
0.6%
604 1
0.6%
525 1
0.6%
471 1
0.6%

23세
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.99383
Minimum0
Maximum4843
Zeros44
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:19.453032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q341.75
95-th percentile608.9
Maximum4843
Range4843
Interquartile range (IQR)41.75

Descriptive statistics

Standard deviation584.71715
Coefficient of variation (CV)3.4599912
Kurtosis34.59109
Mean168.99383
Median Absolute Deviation (MAD)4
Skewness5.5336915
Sum27377
Variance341894.14
MonotonicityNot monotonic
2023-12-13T06:26:19.597132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
27.2%
3 14
 
8.6%
2 11
 
6.8%
1 11
 
6.8%
6 6
 
3.7%
12 4
 
2.5%
29 3
 
1.9%
26 2
 
1.2%
297 2
 
1.2%
4 2
 
1.2%
Other values (57) 63
38.9%
ValueCountFrequency (%)
0 44
27.2%
1 11
 
6.8%
2 11
 
6.8%
3 14
 
8.6%
4 2
 
1.2%
5 2
 
1.2%
6 6
 
3.7%
8 2
 
1.2%
9 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
4843 1
0.6%
3503 1
0.6%
2751 1
0.6%
2288 1
0.6%
2049 1
0.6%
1577 1
0.6%
889 1
0.6%
864 1
0.6%
609 1
0.6%
607 1
0.6%

24세
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.82099
Minimum0
Maximum4891
Zeros36
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:19.735556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q352
95-th percentile684.3
Maximum4891
Range4891
Interquartile range (IQR)51

Descriptive statistics

Standard deviation630.79369
Coefficient of variation (CV)3.3584835
Kurtosis30.671819
Mean187.82099
Median Absolute Deviation (MAD)6
Skewness5.2805394
Sum30427
Variance397900.68
MonotonicityNot monotonic
2023-12-13T06:26:19.914677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36
22.2%
1 15
 
9.3%
2 9
 
5.6%
3 8
 
4.9%
5 6
 
3.7%
4 6
 
3.7%
6 6
 
3.7%
16 3
 
1.9%
14 3
 
1.9%
52 3
 
1.9%
Other values (57) 67
41.4%
ValueCountFrequency (%)
0 36
22.2%
1 15
9.3%
2 9
 
5.6%
3 8
 
4.9%
4 6
 
3.7%
5 6
 
3.7%
6 6
 
3.7%
7 1
 
0.6%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
4891 1
0.6%
3776 1
0.6%
3549 1
0.6%
2533 1
0.6%
1961 1
0.6%
1541 1
0.6%
1262 1
0.6%
997 1
0.6%
686 1
0.6%
652 1
0.6%

25세
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.83951
Minimum0
Maximum4654
Zeros30
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:20.068467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7.5
Q359.75
95-th percentile719.3
Maximum4654
Range4654
Interquartile range (IQR)58.75

Descriptive statistics

Standard deviation650.81187
Coefficient of variation (CV)3.3231899
Kurtosis28.638823
Mean195.83951
Median Absolute Deviation (MAD)7.5
Skewness5.1689301
Sum31726
Variance423556.09
MonotonicityNot monotonic
2023-12-13T06:26:20.205593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
18.5%
1 15
 
9.3%
2 13
 
8.0%
4 8
 
4.9%
5 6
 
3.7%
8 5
 
3.1%
3 4
 
2.5%
53 3
 
1.9%
7 3
 
1.9%
9 3
 
1.9%
Other values (61) 72
44.4%
ValueCountFrequency (%)
0 30
18.5%
1 15
9.3%
2 13
8.0%
3 4
 
2.5%
4 8
 
4.9%
5 6
 
3.7%
6 2
 
1.2%
7 3
 
1.9%
8 5
 
3.1%
9 3
 
1.9%
ValueCountFrequency (%)
4654 1
0.6%
4194 1
0.6%
3802 1
0.6%
2843 1
0.6%
1906 1
0.6%
1419 1
0.6%
1321 1
0.6%
954 1
0.6%
720 1
0.6%
706 1
0.6%

26_30세
Real number (ℝ)

ZEROS 

Distinct114
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean891.11111
Minimum0
Maximum23462
Zeros7
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:20.322460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median49.5
Q3300.25
95-th percentile3779.65
Maximum23462
Range23462
Interquartile range (IQR)288.25

Descriptive statistics

Standard deviation2953.8544
Coefficient of variation (CV)3.3147992
Kurtosis32.962409
Mean891.11111
Median Absolute Deviation (MAD)46.5
Skewness5.4778414
Sum144360
Variance8725255.8
MonotonicityNot monotonic
2023-12-13T06:26:20.453481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
4.3%
2 5
 
3.1%
8 5
 
3.1%
4 5
 
3.1%
6 4
 
2.5%
23 4
 
2.5%
7 3
 
1.9%
15 3
 
1.9%
21 3
 
1.9%
10 3
 
1.9%
Other values (104) 120
74.1%
ValueCountFrequency (%)
0 7
4.3%
1 1
 
0.6%
2 5
3.1%
3 3
1.9%
4 5
3.1%
5 1
 
0.6%
6 4
2.5%
7 3
1.9%
8 5
3.1%
9 1
 
0.6%
ValueCountFrequency (%)
23462 1
0.6%
18179 1
0.6%
15406 1
0.6%
13937 1
0.6%
7572 1
0.6%
5718 1
0.6%
4902 1
0.6%
3958 1
0.6%
3788 1
0.6%
3621 1
0.6%

31_35세
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1016.1914
Minimum0
Maximum26632
Zeros5
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:20.576044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q127
median95
Q3414.25
95-th percentile3822.6
Maximum26632
Range26632
Interquartile range (IQR)387.25

Descriptive statistics

Standard deviation3316.3671
Coefficient of variation (CV)3.2635262
Kurtosis34.786674
Mean1016.1914
Median Absolute Deviation (MAD)86
Skewness5.6394131
Sum164623
Variance10998291
MonotonicityNot monotonic
2023-12-13T06:26:20.712356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
3.1%
6 4
 
2.5%
1 3
 
1.9%
44 3
 
1.9%
9 3
 
1.9%
11 3
 
1.9%
35 2
 
1.2%
57 2
 
1.2%
34 2
 
1.2%
15 2
 
1.2%
Other values (120) 133
82.1%
ValueCountFrequency (%)
0 5
3.1%
1 3
1.9%
2 2
 
1.2%
3 1
 
0.6%
4 2
 
1.2%
6 4
2.5%
8 2
 
1.2%
9 3
1.9%
11 3
1.9%
13 1
 
0.6%
ValueCountFrequency (%)
26632 1
0.6%
20770 1
0.6%
18257 1
0.6%
14794 1
0.6%
7077 1
0.6%
6447 1
0.6%
4899 1
0.6%
4072 1
0.6%
3830 1
0.6%
3682 1
0.6%

36_40세
Real number (ℝ)

ZEROS 

Distinct134
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1117.0802
Minimum0
Maximum25432
Zeros4
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:20.824402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.05
Q137.25
median115.5
Q3491.25
95-th percentile4262.95
Maximum25432
Range25432
Interquartile range (IQR)454

Descriptive statistics

Standard deviation3499.3035
Coefficient of variation (CV)3.1325444
Kurtosis31.394084
Mean1117.0802
Median Absolute Deviation (MAD)95.5
Skewness5.4250693
Sum180967
Variance12245125
MonotonicityNot monotonic
2023-12-13T06:26:20.931964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.5%
27 4
 
2.5%
44 3
 
1.9%
61 3
 
1.9%
266 2
 
1.2%
10 2
 
1.2%
7 2
 
1.2%
29 2
 
1.2%
175 2
 
1.2%
30 2
 
1.2%
Other values (124) 136
84.0%
ValueCountFrequency (%)
0 4
2.5%
1 2
1.2%
4 2
1.2%
6 1
 
0.6%
7 2
1.2%
8 1
 
0.6%
9 1
 
0.6%
10 2
1.2%
11 2
1.2%
12 1
 
0.6%
ValueCountFrequency (%)
25432 1
0.6%
22855 1
0.6%
21740 1
0.6%
15630 1
0.6%
7160 1
0.6%
6803 1
0.6%
4992 1
0.6%
4746 1
0.6%
4294 1
0.6%
3673 1
0.6%

41_45세
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1255.9691
Minimum0
Maximum25680
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:21.042936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q146.75
median137
Q3622.75
95-th percentile5205.1
Maximum25680
Range25680
Interquartile range (IQR)576

Descriptive statistics

Standard deviation3817.3666
Coefficient of variation (CV)3.0393793
Kurtosis29.45509
Mean1255.9691
Median Absolute Deviation (MAD)116.5
Skewness5.2715042
Sum203467
Variance14572288
MonotonicityNot monotonic
2023-12-13T06:26:21.154960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204 3
 
1.9%
46 3
 
1.9%
14 2
 
1.2%
19 2
 
1.2%
78 2
 
1.2%
96 2
 
1.2%
123 2
 
1.2%
93 2
 
1.2%
1 2
 
1.2%
20 2
 
1.2%
Other values (133) 140
86.4%
ValueCountFrequency (%)
0 2
1.2%
1 2
1.2%
2 1
0.6%
4 1
0.6%
5 2
1.2%
6 2
1.2%
7 1
0.6%
11 1
0.6%
12 1
0.6%
14 2
1.2%
ValueCountFrequency (%)
25680 1
0.6%
25072 1
0.6%
24809 1
0.6%
18121 1
0.6%
7506 1
0.6%
7229 1
0.6%
6001 1
0.6%
5961 1
0.6%
5209 1
0.6%
5131 1
0.6%

46_50세
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1468.0741
Minimum0
Maximum30927
Zeros3
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:21.261010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q154.5
median171
Q3793.75
95-th percentile6701.4
Maximum30927
Range30927
Interquartile range (IQR)739.25

Descriptive statistics

Standard deviation4333.9924
Coefficient of variation (CV)2.9521619
Kurtosis28.15022
Mean1468.0741
Median Absolute Deviation (MAD)147.5
Skewness5.1212069
Sum237828
Variance18783490
MonotonicityNot monotonic
2023-12-13T06:26:21.377051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 4
 
2.5%
0 3
 
1.9%
114 3
 
1.9%
7 3
 
1.9%
141 2
 
1.2%
69 2
 
1.2%
10 2
 
1.2%
20 2
 
1.2%
54 2
 
1.2%
158 2
 
1.2%
Other values (131) 137
84.6%
ValueCountFrequency (%)
0 3
1.9%
2 1
 
0.6%
3 2
1.2%
4 1
 
0.6%
7 3
1.9%
8 1
 
0.6%
9 1
 
0.6%
10 2
1.2%
14 1
 
0.6%
15 1
 
0.6%
ValueCountFrequency (%)
30927 1
0.6%
27713 1
0.6%
24419 1
0.6%
22402 1
0.6%
8574 1
0.6%
8566 1
0.6%
8189 1
0.6%
7728 1
0.6%
6736 1
0.6%
6044 1
0.6%

51_55세
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1406.4259
Minimum0
Maximum29246
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:21.486397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.05
Q158.25
median194.5
Q3727
95-th percentile6208.7
Maximum29246
Range29246
Interquartile range (IQR)668.75

Descriptive statistics

Standard deviation4083.2693
Coefficient of variation (CV)2.903295
Kurtosis28.12472
Mean1406.4259
Median Absolute Deviation (MAD)167.5
Skewness5.0875669
Sum227841
Variance16673088
MonotonicityNot monotonic
2023-12-13T06:26:21.599061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 3
 
1.9%
41 3
 
1.9%
11 3
 
1.9%
66 2
 
1.2%
138 2
 
1.2%
77 2
 
1.2%
135 2
 
1.2%
143 2
 
1.2%
0 2
 
1.2%
61 2
 
1.2%
Other values (131) 139
85.8%
ValueCountFrequency (%)
0 2
1.2%
1 1
 
0.6%
2 1
 
0.6%
4 2
1.2%
6 2
1.2%
7 1
 
0.6%
8 3
1.9%
10 1
 
0.6%
11 3
1.9%
12 1
 
0.6%
ValueCountFrequency (%)
29246 1
0.6%
26056 1
0.6%
24422 1
0.6%
18393 1
0.6%
8866 1
0.6%
8294 1
0.6%
7983 1
0.6%
7914 1
0.6%
6226 1
0.6%
5880 1
0.6%

56_60세
Real number (ℝ)

Distinct144
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1215.8519
Minimum0
Maximum25627
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:21.714678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q143.25
median180.5
Q3621.5
95-th percentile4867.8
Maximum25627
Range25627
Interquartile range (IQR)578.25

Descriptive statistics

Standard deviation3562.7313
Coefficient of variation (CV)2.9302347
Kurtosis30.490488
Mean1215.8519
Median Absolute Deviation (MAD)162
Skewness5.270055
Sum196968
Variance12693054
MonotonicityNot monotonic
2023-12-13T06:26:21.828488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 4
 
2.5%
10 3
 
1.9%
7 3
 
1.9%
40 2
 
1.2%
388 2
 
1.2%
1 2
 
1.2%
17 2
 
1.2%
57 2
 
1.2%
66 2
 
1.2%
39 2
 
1.2%
Other values (134) 138
85.2%
ValueCountFrequency (%)
0 1
 
0.6%
1 2
1.2%
2 1
 
0.6%
3 1
 
0.6%
4 1
 
0.6%
6 4
2.5%
7 3
1.9%
9 1
 
0.6%
10 3
1.9%
12 1
 
0.6%
ValueCountFrequency (%)
25627 1
0.6%
24299 1
0.6%
21705 1
0.6%
12423 1
0.6%
8934 1
0.6%
7458 1
0.6%
6502 1
0.6%
6216 1
0.6%
4871 1
0.6%
4807 1
0.6%

61_70세
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1018.5556
Minimum0
Maximum28833
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:21.939376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.05
Q131.5
median155
Q3470
95-th percentile3882.05
Maximum28833
Range28833
Interquartile range (IQR)438.5

Descriptive statistics

Standard deviation3172.0524
Coefficient of variation (CV)3.1142655
Kurtosis44.269483
Mean1018.5556
Median Absolute Deviation (MAD)142.5
Skewness6.1388296
Sum165006
Variance10061916
MonotonicityNot monotonic
2023-12-13T06:26:22.047994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 3
 
1.9%
8 3
 
1.9%
154 2
 
1.2%
279 2
 
1.2%
22 2
 
1.2%
36 2
 
1.2%
467 2
 
1.2%
88 2
 
1.2%
25 2
 
1.2%
18 2
 
1.2%
Other values (125) 140
86.4%
ValueCountFrequency (%)
0 2
1.2%
1 1
 
0.6%
2 2
1.2%
3 2
1.2%
4 2
1.2%
5 2
1.2%
6 3
1.9%
7 1
 
0.6%
8 3
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
28833 1
0.6%
17354 1
0.6%
16885 1
0.6%
10152 1
0.6%
7537 1
0.6%
5779 1
0.6%
5319 1
0.6%
4068 1
0.6%
3893 1
0.6%
3674 1
0.6%

71세이상
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309.46296
Minimum0
Maximum8736
Zeros13
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:22.158509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median35
Q3151.75
95-th percentile1403.5
Maximum8736
Range8736
Interquartile range (IQR)144.75

Descriptive statistics

Standard deviation1001.0566
Coefficient of variation (CV)3.2348187
Kurtosis41.911852
Mean309.46296
Median Absolute Deviation (MAD)33
Skewness6.0631749
Sum50133
Variance1002114.3
MonotonicityNot monotonic
2023-12-13T06:26:22.268692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
8.0%
7 6
 
3.7%
3 5
 
3.1%
1 5
 
3.1%
6 5
 
3.1%
2 5
 
3.1%
4 4
 
2.5%
91 4
 
2.5%
10 3
 
1.9%
35 3
 
1.9%
Other values (93) 109
67.3%
ValueCountFrequency (%)
0 13
8.0%
1 5
 
3.1%
2 5
 
3.1%
3 5
 
3.1%
4 4
 
2.5%
5 3
 
1.9%
6 5
 
3.1%
7 6
3.7%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
8736 1
0.6%
6380 1
0.6%
5038 1
0.6%
3365 1
0.6%
1832 1
0.6%
1732 1
0.6%
1458 1
0.6%
1445 1
0.6%
1410 1
0.6%
1280 1
0.6%

미상
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.88272
Minimum0
Maximum6511
Zeros6
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-13T06:26:22.369798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113.25
median54
Q3186.75
95-th percentile1315.55
Maximum6511
Range6511
Interquartile range (IQR)173.5

Descriptive statistics

Standard deviation707.56975
Coefficient of variation (CV)2.6315182
Kurtosis41.688232
Mean268.88272
Median Absolute Deviation (MAD)50
Skewness5.7504998
Sum43559
Variance500654.95
MonotonicityNot monotonic
2023-12-13T06:26:22.773331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6
 
3.7%
0 6
 
3.7%
4 6
 
3.7%
19 5
 
3.1%
12 5
 
3.1%
7 4
 
2.5%
35 3
 
1.9%
54 3
 
1.9%
17 3
 
1.9%
61 3
 
1.9%
Other values (99) 118
72.8%
ValueCountFrequency (%)
0 6
3.7%
1 6
3.7%
2 1
 
0.6%
3 2
 
1.2%
4 6
3.7%
5 2
 
1.2%
6 2
 
1.2%
7 4
2.5%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
6511 1
0.6%
3554 1
0.6%
2948 1
0.6%
2779 1
0.6%
1699 1
0.6%
1557 1
0.6%
1441 1
0.6%
1364 1
0.6%
1323 1
0.6%
1174 1
0.6%

Sample

범죄분류14세미만14세15세16세17세18세19세20세21세22세23세24세25세26_30세31_35세36_40세41_45세46_50세51_55세56_60세61_70세71세이상미상
0절도83785508151383486251021931961192121032049196119067572707771607229857488668934101526380610
1장물0315213013991827373455452562383643632912762372341903228
2사기73537701267184519833120337432043333350337763802154061825721740256803092729246242991735433656511
3횡령11131763714153483222752913073324013571873253932304037488947414174406817321323
4배임0001001953111426145377788108914641557161413724991094
5손괴177120174235348472345447471555580631251231053547399848784539364830781280444
6살인1110114128118101419697586100122124112954261
7강도09337069635139204729462615617816012013510162441128
8방화027293616101271012181776069105143202189157100361
9성폭력534556169171177073462565583286499795437883499310929172965258421872021820203
범죄분류14세미만14세15세16세17세18세19세20세21세22세23세24세25세26_30세31_35세36_40세41_45세46_50세51_55세56_60세61_70세71세이상미상
152폐기물관리법000000000000233581752143213673882986399
153풍속영업의규제에관한법률0000011221578294039274539252334
154하천법000000000000238182029536068177
155학교보건법0000000001000767121510101121
156학원의설립운영및과외교습에관한법률000001001034240731161471054117721
157화물자동차운수사업법0000001249158271371833194354934263582884324
158화재로인한재해보상과보험가입에관한법률00000000000000000000000
159화재예방,소방시설설치유지및안전관리에관한법률00000000000000116476680
160화학물질관리법0383953482319196312631928728511410074551612
161기타특별법3304677851212572993244404855746633204407249926001772882947458577914582779