Overview

Dataset statistics

Number of variables36
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory325.5 B

Variable types

Categorical1
Text1
Numeric34

Dataset

Description범죄유형별(강력범죄, 폭력범죄, 지능범죄 등)로 범죄장소(아파트, 단독주택, 고속도로, 노상 ,백화점, 슈퍼마켓 등)별로 통계 건수를 제공
Author경찰청
URLhttps://www.data.go.kr/data/3074463/fileData.do

Alerts

범죄중분류 has unique valuesUnique
노상 has unique valuesUnique
아파트_연립다세대 has 1 (2.6%) zerosZeros
단독주택 has 1 (2.6%) zerosZeros
고속도로 has 14 (36.8%) zerosZeros
백화점 has 21 (55.3%) zerosZeros
슈퍼마켓 has 11 (28.9%) zerosZeros
편의점 has 7 (18.4%) zerosZeros
대형할인매장 has 16 (42.1%) zerosZeros
시장_노점 has 2 (5.3%) zerosZeros
숙박업소_목욕탕 has 3 (7.9%) zerosZeros
유흥접객업소 has 2 (5.3%) zerosZeros
공장 has 8 (21.1%) zerosZeros
공사장_광산 has 10 (26.3%) zerosZeros
창고 has 15 (39.5%) zerosZeros
역_대합실 has 4 (10.5%) zerosZeros
지하철 has 18 (47.4%) zerosZeros
기타교통수단내 has 4 (10.5%) zerosZeros
흥행장 has 10 (26.3%) zerosZeros
유원지 has 6 (15.8%) zerosZeros
학교 has 6 (15.8%) zerosZeros
금융기관 has 9 (23.7%) zerosZeros
의료기관 has 4 (10.5%) zerosZeros
종교기관 has 7 (18.4%) zerosZeros
산야 has 6 (15.8%) zerosZeros
해상 has 16 (42.1%) zerosZeros
부대 has 15 (39.5%) zerosZeros
구금장소 has 22 (57.9%) zerosZeros
공지 has 19 (50.0%) zerosZeros
주차장 has 5 (13.2%) zerosZeros
공중화장실 has 15 (39.5%) zerosZeros
피씨방 has 13 (34.2%) zerosZeros

Reproduction

Analysis started2023-12-12 05:57:15.653274
Analysis finished2023-12-12 05:57:15.996409
Duration0.34 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
강력범죄
폭력범죄
풍속범죄
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

2023-12-12T14:57:16.115280image/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

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T14:57:16.344722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length3.7894737
Min length2

Characters and Unicode

Total characters144
Distinct characters74
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row살인기수
2nd row살인미수등
3rd row강도
4th row강간
5th row유사강간
ValueCountFrequency (%)
살인기수 1
 
2.6%
도박범죄 1
 
2.6%
병역범죄 1
 
2.6%
문서?인장 1
 
2.6%
유가증권인지 1
 
2.6%
사기 1
 
2.6%
횡령 1
 
2.6%
배임 1
 
2.6%
성풍속범죄 1
 
2.6%
마약범죄 1
 
2.6%
Other values (29) 29
74.4%
2023-12-12T14:57:16.751553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
9.0%
13
 
9.0%
6
 
4.2%
5
 
3.5%
5
 
3.5%
4
 
2.8%
? 4
 
2.8%
4
 
2.8%
3
 
2.1%
3
 
2.1%
Other values (64) 84
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
96.5%
Other Punctuation 4
 
2.8%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
9.4%
13
 
9.4%
6
 
4.3%
5
 
3.6%
5
 
3.6%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (62) 80
57.6%
Other Punctuation
ValueCountFrequency (%)
? 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139
96.5%
Common 5
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
9.4%
13
 
9.4%
6
 
4.3%
5
 
3.6%
5
 
3.6%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (62) 80
57.6%
Common
ValueCountFrequency (%)
? 4
80.0%
1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
96.5%
ASCII 5
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
13
 
9.4%
13
 
9.4%
6
 
4.3%
5
 
3.6%
5
 
3.6%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (62) 80
57.6%
ASCII
ValueCountFrequency (%)
? 4
80.0%
1
 
20.0%

아파트_연립다세대
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2850.0263
Minimum0
Maximum25525
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:16.937515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.85
Q164.25
median251
Q31618.25
95-th percentile18069.15
Maximum25525
Range25525
Interquartile range (IQR)1554

Descriptive statistics

Standard deviation6132.6246
Coefficient of variation (CV)2.1517782
Kurtosis7.4390871
Mean2850.0263
Median Absolute Deviation (MAD)247.5
Skewness2.813333
Sum108301
Variance37609085
MonotonicityNot monotonic
2023-12-12T14:57:17.079824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
3 2
 
5.3%
1407 1
 
2.6%
255 1
 
2.6%
0 1
 
2.6%
9443 1
 
2.6%
2218 1
 
2.6%
158 1
 
2.6%
3382 1
 
2.6%
247 1
 
2.6%
114 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
0 1
2.6%
2 1
2.6%
3 2
5.3%
4 1
2.6%
12 1
2.6%
19 1
2.6%
24 1
2.6%
53 1
2.6%
62 1
2.6%
71 1
2.6%
ValueCountFrequency (%)
25525 1
2.6%
23017 1
2.6%
17196 1
2.6%
9443 1
2.6%
7888 1
2.6%
5246 1
2.6%
4160 1
2.6%
3382 1
2.6%
2218 1
2.6%
1619 1
2.6%

단독주택
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1835.3158
Minimum0
Maximum16484
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:17.201205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q134
median251
Q3973
95-th percentile12042.9
Maximum16484
Range16484
Interquartile range (IQR)939

Descriptive statistics

Standard deviation3852.0286
Coefficient of variation (CV)2.0988369
Kurtosis6.8410435
Mean1835.3158
Median Absolute Deviation (MAD)238.5
Skewness2.7117619
Sum69742
Variance14838124
MonotonicityNot monotonic
2023-12-12T14:57:17.352535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 2
 
5.3%
19 2
 
5.3%
525 1
 
2.6%
228 1
 
2.6%
0 1
 
2.6%
12024 1
 
2.6%
759 1
 
2.6%
33 1
 
2.6%
2049 1
 
2.6%
60 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
0 1
2.6%
1 2
5.3%
4 1
2.6%
7 1
2.6%
18 1
2.6%
19 2
5.3%
24 1
2.6%
33 1
2.6%
37 1
2.6%
46 1
2.6%
ValueCountFrequency (%)
16484 1
2.6%
12150 1
2.6%
12024 1
2.6%
8117 1
2.6%
4162 1
2.6%
3320 1
2.6%
2570 1
2.6%
2049 1
2.6%
1938 1
2.6%
983 1
2.6%

고속도로
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean269.28947
Minimum0
Maximum7471
Zeros14
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:17.505867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321.5
95-th percentile906.85
Maximum7471
Range7471
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation1222.5875
Coefficient of variation (CV)4.5400492
Kurtosis35.028354
Mean269.28947
Median Absolute Deviation (MAD)2
Skewness5.8374649
Sum10233
Variance1494720.1
MonotonicityNot monotonic
2023-12-12T14:57:17.637454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 14
36.8%
1 4
 
10.5%
2 4
 
10.5%
17 1
 
2.6%
1195 1
 
2.6%
7471 1
 
2.6%
6 1
 
2.6%
23 1
 
2.6%
9 1
 
2.6%
125 1
 
2.6%
Other values (9) 9
23.7%
ValueCountFrequency (%)
0 14
36.8%
1 4
 
10.5%
2 4
 
10.5%
3 1
 
2.6%
4 1
 
2.6%
6 1
 
2.6%
9 1
 
2.6%
11 1
 
2.6%
17 1
 
2.6%
23 1
 
2.6%
ValueCountFrequency (%)
7471 1
2.6%
1195 1
2.6%
856 1
2.6%
190 1
2.6%
125 1
2.6%
122 1
2.6%
115 1
2.6%
39 1
2.6%
35 1
2.6%
23 1
2.6%

노상
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13198.289
Minimum4
Maximum230183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:17.804733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile15.85
Q1107.75
median420
Q33941
95-th percentile49115.35
Maximum230183
Range230179
Interquartile range (IQR)3833.25

Descriptive statistics

Standard deviation39108.821
Coefficient of variation (CV)2.9631734
Kurtosis26.951056
Mean13198.289
Median Absolute Deviation (MAD)403
Skewness4.9233961
Sum501535
Variance1.5294998 × 109
MonotonicityNot monotonic
2023-12-12T14:57:18.242358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
28 1
 
2.6%
1880 1
 
2.6%
4 1
 
2.6%
43369 1
 
2.6%
24087 1
 
2.6%
143 1
 
2.6%
2214 1
 
2.6%
80 1
 
2.6%
4222 1
 
2.6%
1337 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
4 1
2.6%
15 1
2.6%
16 1
2.6%
18 1
2.6%
26 1
2.6%
28 1
2.6%
30 1
2.6%
57 1
2.6%
80 1
2.6%
105 1
2.6%
ValueCountFrequency (%)
230183 1
2.6%
51945 1
2.6%
48616 1
2.6%
45258 1
2.6%
43369 1
2.6%
24087 1
2.6%
22000 1
2.6%
9150 1
2.6%
6160 1
2.6%
4222 1
2.6%

백화점
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.184211
Minimum0
Maximum2274
Zeros21
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:18.375586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311.75
95-th percentile153.05
Maximum2274
Range2274
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation369.18141
Coefficient of variation (CV)4.6041659
Kurtosis36.382835
Mean80.184211
Median Absolute Deviation (MAD)0
Skewness5.9813861
Sum3047
Variance136294.91
MonotonicityNot monotonic
2023-12-12T14:57:18.499861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 21
55.3%
1 3
 
7.9%
3 2
 
5.3%
34 1
 
2.6%
2274 1
 
2.6%
13 1
 
2.6%
134 1
 
2.6%
8 1
 
2.6%
23 1
 
2.6%
130 1
 
2.6%
Other values (5) 5
 
13.2%
ValueCountFrequency (%)
0 21
55.3%
1 3
 
7.9%
3 2
 
5.3%
5 1
 
2.6%
8 1
 
2.6%
13 1
 
2.6%
20 1
 
2.6%
23 1
 
2.6%
34 1
 
2.6%
40 1
 
2.6%
ValueCountFrequency (%)
2274 1
2.6%
261 1
2.6%
134 1
2.6%
130 1
2.6%
96 1
2.6%
40 1
2.6%
34 1
2.6%
23 1
2.6%
20 1
2.6%
13 1
2.6%

슈퍼마켓
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.84211
Minimum0
Maximum11703
Zeros11
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:18.626766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q353.5
95-th percentile601.4
Maximum11703
Range11703
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation1893.7312
Coefficient of variation (CV)4.8827375
Kurtosis37.259835
Mean387.84211
Median Absolute Deviation (MAD)4
Skewness6.0788827
Sum14738
Variance3586217.9
MonotonicityNot monotonic
2023-12-12T14:57:18.771549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 11
28.9%
2 4
 
10.5%
1 3
 
7.9%
5 2
 
5.3%
10 1
 
2.6%
569 1
 
2.6%
33 1
 
2.6%
337 1
 
2.6%
3 1
 
2.6%
46 1
 
2.6%
Other values (12) 12
31.6%
ValueCountFrequency (%)
0 11
28.9%
1 3
 
7.9%
2 4
 
10.5%
3 1
 
2.6%
5 2
 
5.3%
6 1
 
2.6%
8 1
 
2.6%
10 1
 
2.6%
11 1
 
2.6%
12 1
 
2.6%
ValueCountFrequency (%)
11703 1
2.6%
785 1
2.6%
569 1
2.6%
476 1
2.6%
355 1
2.6%
337 1
2.6%
133 1
2.6%
88 1
2.6%
86 1
2.6%
56 1
2.6%

편의점
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean432.5
Minimum0
Maximum6994
Zeros7
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:18.902520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q3191.25
95-th percentile1906.05
Maximum6994
Range6994
Interquartile range (IQR)190.25

Descriptive statistics

Standard deviation1224.6804
Coefficient of variation (CV)2.8316311
Kurtosis23.157087
Mean432.5
Median Absolute Deviation (MAD)5
Skewness4.5131876
Sum16435
Variance1499842.2
MonotonicityNot monotonic
2023-12-12T14:57:19.017096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 7
18.4%
1 6
15.8%
3 4
 
10.5%
213 1
 
2.6%
2150 1
 
2.6%
54 1
 
2.6%
20 1
 
2.6%
1331 1
 
2.6%
2 1
 
2.6%
78 1
 
2.6%
Other values (14) 14
36.8%
ValueCountFrequency (%)
0 7
18.4%
1 6
15.8%
2 1
 
2.6%
3 4
10.5%
4 1
 
2.6%
6 1
 
2.6%
13 1
 
2.6%
20 1
 
2.6%
24 1
 
2.6%
32 1
 
2.6%
ValueCountFrequency (%)
6994 1
2.6%
2150 1
2.6%
1863 1
2.6%
1426 1
2.6%
1331 1
2.6%
1217 1
2.6%
321 1
2.6%
277 1
2.6%
231 1
2.6%
213 1
2.6%

대형할인매장
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.89474
Minimum0
Maximum3536
Zeros16
Zeros (%)42.1%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:19.164576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile113.3
Maximum3536
Range3536
Interquartile range (IQR)11

Descriptive statistics

Standard deviation572.29853
Coefficient of variation (CV)5.2555206
Kurtosis37.620233
Mean108.89474
Median Absolute Deviation (MAD)1
Skewness6.1204847
Sum4138
Variance327525.61
MonotonicityNot monotonic
2023-12-12T14:57:19.308870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 16
42.1%
1 8
21.1%
11 2
 
5.3%
2 2
 
5.3%
3536 1
 
2.6%
12 1
 
2.6%
98 1
 
2.6%
9 1
 
2.6%
25 1
 
2.6%
73 1
 
2.6%
Other values (4) 4
 
10.5%
ValueCountFrequency (%)
0 16
42.1%
1 8
21.1%
2 2
 
5.3%
9 1
 
2.6%
11 2
 
5.3%
12 1
 
2.6%
17 1
 
2.6%
25 1
 
2.6%
52 1
 
2.6%
73 1
 
2.6%
ValueCountFrequency (%)
3536 1
2.6%
200 1
2.6%
98 1
2.6%
82 1
2.6%
73 1
2.6%
52 1
2.6%
25 1
2.6%
17 1
2.6%
12 1
2.6%
11 2
5.3%

상점
Real number (ℝ)

Distinct30
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean936.65789
Minimum1
Maximum17550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:19.458356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median37
Q3325
95-th percentile3184.7
Maximum17550
Range17549
Interquartile range (IQR)318

Descriptive statistics

Standard deviation2958.9188
Coefficient of variation (CV)3.1590176
Kurtosis28.470929
Mean936.65789
Median Absolute Deviation (MAD)36
Skewness5.1187897
Sum35593
Variance8755200.3
MonotonicityNot monotonic
2023-12-12T14:57:19.601255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 5
 
13.2%
2 2
 
5.3%
81 2
 
5.3%
7 2
 
5.3%
33 2
 
5.3%
21 1
 
2.6%
5 1
 
2.6%
48 1
 
2.6%
242 1
 
2.6%
70 1
 
2.6%
Other values (20) 20
52.6%
ValueCountFrequency (%)
1 5
13.2%
2 2
 
5.3%
4 1
 
2.6%
5 1
 
2.6%
7 2
 
5.3%
9 1
 
2.6%
10 1
 
2.6%
21 1
 
2.6%
23 1
 
2.6%
27 1
 
2.6%
ValueCountFrequency (%)
17550 1
2.6%
5087 1
2.6%
2849 1
2.6%
2317 1
2.6%
2166 1
2.6%
1701 1
2.6%
1074 1
2.6%
851 1
2.6%
373 1
2.6%
339 1
2.6%

시장_노점
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298.81579
Minimum0
Maximum3927
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:19.759354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q13.25
median21
Q3150.75
95-th percentile1229.15
Maximum3927
Range3927
Interquartile range (IQR)147.5

Descriptive statistics

Standard deviation708.78579
Coefficient of variation (CV)2.3719824
Kurtosis18.925623
Mean298.81579
Median Absolute Deviation (MAD)20
Skewness4.0071052
Sum11355
Variance502377.29
MonotonicityNot monotonic
2023-12-12T14:57:19.925065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 3
 
7.9%
2 3
 
7.9%
4 2
 
5.3%
19 2
 
5.3%
8 2
 
5.3%
3 2
 
5.3%
0 2
 
5.3%
42 1
 
2.6%
652 1
 
2.6%
18 1
 
2.6%
Other values (19) 19
50.0%
ValueCountFrequency (%)
0 2
5.3%
1 3
7.9%
2 3
7.9%
3 2
5.3%
4 2
5.3%
6 1
 
2.6%
8 2
5.3%
14 1
 
2.6%
18 1
 
2.6%
19 2
5.3%
ValueCountFrequency (%)
3927 1
2.6%
1400 1
2.6%
1199 1
2.6%
1111 1
2.6%
810 1
2.6%
728 1
2.6%
652 1
2.6%
419 1
2.6%
248 1
2.6%
151 1
2.6%

숙박업소_목욕탕
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448.81579
Minimum0
Maximum2742
Zeros3
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:20.059002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.25
median44.5
Q3573
95-th percentile2156.6
Maximum2742
Range2742
Interquartile range (IQR)566.75

Descriptive statistics

Standard deviation765.3124
Coefficient of variation (CV)1.7051815
Kurtosis3.086318
Mean448.81579
Median Absolute Deviation (MAD)44.5
Skewness1.9826465
Sum17055
Variance585703.07
MonotonicityNot monotonic
2023-12-12T14:57:20.176428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 3
 
7.9%
3 2
 
5.3%
549 1
 
2.6%
36 1
 
2.6%
1115 1
 
2.6%
291 1
 
2.6%
8 1
 
2.6%
604 1
 
2.6%
29 1
 
2.6%
9 1
 
2.6%
Other values (25) 25
65.8%
ValueCountFrequency (%)
0 3
7.9%
1 1
 
2.6%
2 1
 
2.6%
3 2
5.3%
4 1
 
2.6%
5 1
 
2.6%
6 1
 
2.6%
7 1
 
2.6%
8 1
 
2.6%
9 1
 
2.6%
ValueCountFrequency (%)
2742 1
2.6%
2738 1
2.6%
2054 1
2.6%
1829 1
2.6%
1644 1
2.6%
1115 1
2.6%
920 1
2.6%
843 1
2.6%
604 1
2.6%
581 1
2.6%

유흥접객업소
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2105
Minimum0
Maximum16606
Zeros2
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:20.296482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q112.5
median64
Q31433
95-th percentile13110.9
Maximum16606
Range16606
Interquartile range (IQR)1420.5

Descriptive statistics

Standard deviation4206.9515
Coefficient of variation (CV)1.9985518
Kurtosis4.6459942
Mean2105
Median Absolute Deviation (MAD)64
Skewness2.3134096
Sum79990
Variance17698441
MonotonicityNot monotonic
2023-12-12T14:57:20.428651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 2
 
5.3%
8 1
 
2.6%
5888 1
 
2.6%
2 1
 
2.6%
16606 1
 
2.6%
1455 1
 
2.6%
39 1
 
2.6%
252 1
 
2.6%
236 1
 
2.6%
314 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
0 2
5.3%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
7 1
2.6%
8 1
2.6%
11 1
2.6%
12 1
2.6%
14 1
2.6%
ValueCountFrequency (%)
16606 1
2.6%
13405 1
2.6%
13059 1
2.6%
8323 1
2.6%
7441 1
2.6%
5888 1
2.6%
3997 1
2.6%
3025 1
2.6%
2803 1
2.6%
1455 1
2.6%

사무실
Real number (ℝ)

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1955.9737
Minimum2
Maximum26511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:20.581960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.4
Q155.25
median248.5
Q3883
95-th percentile8432.25
Maximum26511
Range26509
Interquartile range (IQR)827.75

Descriptive statistics

Standard deviation5230.0814
Coefficient of variation (CV)2.6739017
Kurtosis15.876877
Mean1955.9737
Median Absolute Deviation (MAD)242.5
Skewness3.9457489
Sum74327
Variance27353751
MonotonicityNot monotonic
2023-12-12T14:57:20.776574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
13 3
 
7.9%
76 2
 
5.3%
8 1
 
2.6%
6552 1
 
2.6%
11 1
 
2.6%
26511 1
 
2.6%
3878 1
 
2.6%
1329 1
 
2.6%
267 1
 
2.6%
904 1
 
2.6%
Other values (25) 25
65.8%
ValueCountFrequency (%)
2 1
 
2.6%
4 1
 
2.6%
8 1
 
2.6%
11 1
 
2.6%
13 3
7.9%
26 1
 
2.6%
36 1
 
2.6%
55 1
 
2.6%
56 1
 
2.6%
76 2
5.3%
ValueCountFrequency (%)
26511 1
2.6%
19087 1
2.6%
6552 1
2.6%
3878 1
2.6%
3519 1
2.6%
2897 1
2.6%
2146 1
2.6%
1329 1
2.6%
904 1
2.6%
893 1
2.6%

공장
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.92105
Minimum0
Maximum1542
Zeros8
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:20.889053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median11
Q367.5
95-th percentile894.35
Maximum1542
Range1542
Interquartile range (IQR)66.25

Descriptive statistics

Standard deviation348.86591
Coefficient of variation (CV)2.1026019
Kurtosis6.958547
Mean165.92105
Median Absolute Deviation (MAD)11
Skewness2.6361742
Sum6305
Variance121707.43
MonotonicityNot monotonic
2023-12-12T14:57:21.000457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 8
21.1%
2 4
 
10.5%
1 2
 
5.3%
14 2
 
5.3%
11 2
 
5.3%
3 2
 
5.3%
44 1
 
2.6%
249 1
 
2.6%
1542 1
 
2.6%
10 1
 
2.6%
Other values (14) 14
36.8%
ValueCountFrequency (%)
0 8
21.1%
1 2
 
5.3%
2 4
10.5%
3 2
 
5.3%
6 1
 
2.6%
10 1
 
2.6%
11 2
 
5.3%
14 2
 
5.3%
17 1
 
2.6%
39 1
 
2.6%
ValueCountFrequency (%)
1542 1
2.6%
1123 1
2.6%
854 1
2.6%
639 1
2.6%
581 1
2.6%
519 1
2.6%
253 1
2.6%
249 1
2.6%
154 1
2.6%
74 1
2.6%

공사장_광산
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.97368
Minimum0
Maximum1447
Zeros10
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:21.111980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3.5
Q355
95-th percentile1182.35
Maximum1447
Range1447
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation356.77917
Coefficient of variation (CV)2.3322912
Kurtosis6.9521411
Mean152.97368
Median Absolute Deviation (MAD)3.5
Skewness2.7838978
Sum5813
Variance127291.38
MonotonicityNot monotonic
2023-12-12T14:57:21.224482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
26.3%
1 5
13.2%
2 4
 
10.5%
6 2
 
5.3%
9 1
 
2.6%
1178 1
 
2.6%
21 1
 
2.6%
270 1
 
2.6%
285 1
 
2.6%
31 1
 
2.6%
Other values (11) 11
28.9%
ValueCountFrequency (%)
0 10
26.3%
1 5
13.2%
2 4
 
10.5%
5 1
 
2.6%
6 2
 
5.3%
9 1
 
2.6%
12 1
 
2.6%
17 1
 
2.6%
21 1
 
2.6%
31 1
 
2.6%
ValueCountFrequency (%)
1447 1
2.6%
1207 1
2.6%
1178 1
2.6%
623 1
2.6%
285 1
2.6%
270 1
2.6%
205 1
2.6%
191 1
2.6%
179 1
2.6%
56 1
2.6%

창고
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.105263
Minimum0
Maximum2130
Zeros15
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:21.335524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315.75
95-th percentile229.7
Maximum2130
Range2130
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation376.36496
Coefficient of variation (CV)3.9573515
Kurtosis25.018806
Mean95.105263
Median Absolute Deviation (MAD)1
Skewness4.9059272
Sum3614
Variance141650.58
MonotonicityNot monotonic
2023-12-12T14:57:21.440080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 15
39.5%
1 6
 
15.8%
2130 1
 
2.6%
17 1
 
2.6%
7 1
 
2.6%
4 1
 
2.6%
30 1
 
2.6%
29 1
 
2.6%
74 1
 
2.6%
81 1
 
2.6%
Other values (9) 9
23.7%
ValueCountFrequency (%)
0 15
39.5%
1 6
 
15.8%
3 1
 
2.6%
4 1
 
2.6%
6 1
 
2.6%
7 1
 
2.6%
9 1
 
2.6%
10 1
 
2.6%
12 1
 
2.6%
17 1
 
2.6%
ValueCountFrequency (%)
2130 1
2.6%
1010 1
2.6%
92 1
2.6%
81 1
2.6%
74 1
2.6%
61 1
2.6%
33 1
2.6%
30 1
2.6%
29 1
2.6%
17 1
2.6%

역_대합실
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.81579
Minimum0
Maximum4599
Zeros4
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:21.539835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q3101.5
95-th percentile1283.3
Maximum4599
Range4599
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation815.00578
Coefficient of variation (CV)2.9873849
Kurtosis22.546085
Mean272.81579
Median Absolute Deviation (MAD)6.5
Skewness4.5141807
Sum10367
Variance664234.42
MonotonicityNot monotonic
2023-12-12T14:57:21.687254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 9
23.7%
0 4
 
10.5%
2 2
 
5.3%
7 2
 
5.3%
12 2
 
5.3%
5 2
 
5.3%
416 1
 
2.6%
4599 1
 
2.6%
10 1
 
2.6%
15 1
 
2.6%
Other values (13) 13
34.2%
ValueCountFrequency (%)
0 4
10.5%
1 9
23.7%
2 2
 
5.3%
4 1
 
2.6%
5 2
 
5.3%
7 2
 
5.3%
10 1
 
2.6%
12 2
 
5.3%
14 1
 
2.6%
15 1
 
2.6%
ValueCountFrequency (%)
4599 1
2.6%
1897 1
2.6%
1175 1
2.6%
856 1
2.6%
436 1
2.6%
416 1
2.6%
313 1
2.6%
192 1
2.6%
159 1
2.6%
118 1
2.6%

지하철
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.447368
Minimum0
Maximum987
Zeros18
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:21.797437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q319
95-th percentile605.25
Maximum987
Range987
Interquartile range (IQR)19

Descriptive statistics

Standard deviation230.32253
Coefficient of variation (CV)2.4386337
Kurtosis6.719582
Mean94.447368
Median Absolute Deviation (MAD)1
Skewness2.6791939
Sum3589
Variance53048.47
MonotonicityNot monotonic
2023-12-12T14:57:21.905715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 18
47.4%
1 3
 
7.9%
4 3
 
7.9%
2 2
 
5.3%
28 1
 
2.6%
217 1
 
2.6%
22 1
 
2.6%
417 1
 
2.6%
987 1
 
2.6%
60 1
 
2.6%
Other values (6) 6
 
15.8%
ValueCountFrequency (%)
0 18
47.4%
1 3
 
7.9%
2 2
 
5.3%
4 3
 
7.9%
5 1
 
2.6%
10 1
 
2.6%
22 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
60 1
 
2.6%
ValueCountFrequency (%)
987 1
2.6%
720 1
2.6%
585 1
2.6%
490 1
2.6%
417 1
2.6%
217 1
2.6%
60 1
2.6%
29 1
2.6%
28 1
2.6%
22 1
2.6%

기타교통수단내
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean415.21053
Minimum0
Maximum3200
Zeros4
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:22.004897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median16.5
Q3150.5
95-th percentile2931.2
Maximum3200
Range3200
Interquartile range (IQR)148.25

Descriptive statistics

Standard deviation912.78878
Coefficient of variation (CV)2.1983758
Kurtosis4.3567276
Mean415.21053
Median Absolute Deviation (MAD)16.5
Skewness2.3853824
Sum15778
Variance833183.36
MonotonicityNot monotonic
2023-12-12T14:57:22.130526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 4
 
10.5%
3 3
 
7.9%
2 3
 
7.9%
1 3
 
7.9%
4 2
 
5.3%
7 1
 
2.6%
2972 1
 
2.6%
10 1
 
2.6%
62 1
 
2.6%
146 1
 
2.6%
Other values (18) 18
47.4%
ValueCountFrequency (%)
0 4
10.5%
1 3
7.9%
2 3
7.9%
3 3
7.9%
4 2
5.3%
7 1
 
2.6%
8 1
 
2.6%
10 1
 
2.6%
15 1
 
2.6%
18 1
 
2.6%
ValueCountFrequency (%)
3200 1
2.6%
2972 1
2.6%
2924 1
2.6%
2592 1
2.6%
1286 1
2.6%
1017 1
2.6%
419 1
2.6%
183 1
2.6%
164 1
2.6%
152 1
2.6%

흥행장
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.605263
Minimum0
Maximum426
Zeros10
Zeros (%)26.3%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:22.245637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3.5
Q328.5
95-th percentile203.75
Maximum426
Range426
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation94.953058
Coefficient of variation (CV)2.1775596
Kurtosis8.6231059
Mean43.605263
Median Absolute Deviation (MAD)3.5
Skewness2.9111505
Sum1657
Variance9016.0832
MonotonicityNot monotonic
2023-12-12T14:57:22.354659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 10
26.3%
1 5
13.2%
3 2
 
5.3%
6 2
 
5.3%
4 2
 
5.3%
2 2
 
5.3%
426 1
 
2.6%
344 1
 
2.6%
8 1
 
2.6%
70 1
 
2.6%
Other values (11) 11
28.9%
ValueCountFrequency (%)
0 10
26.3%
1 5
13.2%
2 2
 
5.3%
3 2
 
5.3%
4 2
 
5.3%
5 1
 
2.6%
6 2
 
5.3%
7 1
 
2.6%
8 1
 
2.6%
23 1
 
2.6%
ValueCountFrequency (%)
426 1
2.6%
344 1
2.6%
179 1
2.6%
170 1
2.6%
160 1
2.6%
95 1
2.6%
70 1
2.6%
43 1
2.6%
38 1
2.6%
30 1
2.6%

유원지
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.60526
Minimum0
Maximum1771
Zeros6
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:22.492492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median10
Q3129.75
95-th percentile1077.8
Maximum1771
Range1771
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation386.10855
Coefficient of variation (CV)2.2499808
Kurtosis8.6197068
Mean171.60526
Median Absolute Deviation (MAD)10
Skewness2.9455339
Sum6521
Variance149079.81
MonotonicityNot monotonic
2023-12-12T14:57:22.645226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 6
 
15.8%
3 2
 
5.3%
20 2
 
5.3%
6 2
 
5.3%
1 2
 
5.3%
2 2
 
5.3%
183 1
 
2.6%
896 1
 
2.6%
5 1
 
2.6%
47 1
 
2.6%
Other values (18) 18
47.4%
ValueCountFrequency (%)
0 6
15.8%
1 2
 
5.3%
2 2
 
5.3%
3 2
 
5.3%
4 1
 
2.6%
5 1
 
2.6%
6 2
 
5.3%
7 1
 
2.6%
8 1
 
2.6%
9 1
 
2.6%
ValueCountFrequency (%)
1771 1
2.6%
1122 1
2.6%
1070 1
2.6%
896 1
2.6%
280 1
2.6%
258 1
2.6%
208 1
2.6%
183 1
2.6%
166 1
2.6%
142 1
2.6%

학교
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.94737
Minimum0
Maximum2171
Zeros6
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:22.797028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median15
Q3105.5
95-th percentile831.8
Maximum2171
Range2171
Interquartile range (IQR)101.25

Descriptive statistics

Standard deviation413.34528
Coefficient of variation (CV)2.4908215
Kurtosis16.001675
Mean165.94737
Median Absolute Deviation (MAD)14.5
Skewness3.8233474
Sum6306
Variance170854.32
MonotonicityNot monotonic
2023-12-12T14:57:22.983478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 6
 
15.8%
15 4
 
10.5%
1 2
 
5.3%
6 2
 
5.3%
20 1
 
2.6%
2171 1
 
2.6%
27 1
 
2.6%
3 1
 
2.6%
9 1
 
2.6%
70 1
 
2.6%
Other values (18) 18
47.4%
ValueCountFrequency (%)
0 6
15.8%
1 2
 
5.3%
3 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
6 2
 
5.3%
7 1
 
2.6%
8 1
 
2.6%
9 1
 
2.6%
13 1
 
2.6%
ValueCountFrequency (%)
2171 1
2.6%
1250 1
2.6%
758 1
2.6%
411 1
2.6%
340 1
2.6%
318 1
2.6%
244 1
2.6%
167 1
2.6%
121 1
2.6%
114 1
2.6%

금융기관
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.28947
Minimum0
Maximum2493
Zeros9
Zeros (%)23.7%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:23.151043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q384.75
95-th percentile666.85
Maximum2493
Range2493
Interquartile range (IQR)83.75

Descriptive statistics

Standard deviation458.66309
Coefficient of variation (CV)2.9160444
Kurtosis19.512974
Mean157.28947
Median Absolute Deviation (MAD)4
Skewness4.2456815
Sum5977
Variance210371.83
MonotonicityNot monotonic
2023-12-12T14:57:23.313172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9
23.7%
2 3
 
7.9%
3 3
 
7.9%
1 3
 
7.9%
5 2
 
5.3%
4 2
 
5.3%
98 1
 
2.6%
225 1
 
2.6%
151 1
 
2.6%
550 1
 
2.6%
Other values (12) 12
31.6%
ValueCountFrequency (%)
0 9
23.7%
1 3
 
7.9%
2 3
 
7.9%
3 3
 
7.9%
4 2
 
5.3%
5 2
 
5.3%
10 1
 
2.6%
11 1
 
2.6%
13 1
 
2.6%
17 1
 
2.6%
ValueCountFrequency (%)
2493 1
2.6%
1329 1
2.6%
550 1
2.6%
517 1
2.6%
254 1
2.6%
225 1
2.6%
151 1
2.6%
110 1
2.6%
100 1
2.6%
98 1
2.6%

의료기관
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.10526
Minimum0
Maximum2112
Zeros4
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:23.470503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.5
median12
Q3216
95-th percentile1178.05
Maximum2112
Range2112
Interquartile range (IQR)211.5

Descriptive statistics

Standard deviation463.76443
Coefficient of variation (CV)2.0067238
Kurtosis7.1422451
Mean231.10526
Median Absolute Deviation (MAD)12
Skewness2.6202146
Sum8782
Variance215077.45
MonotonicityNot monotonic
2023-12-12T14:57:23.610380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 4
 
10.5%
7 3
 
7.9%
2 3
 
7.9%
9 2
 
5.3%
12 2
 
5.3%
301 2
 
5.3%
11 2
 
5.3%
2112 1
 
2.6%
1 1
 
2.6%
4 1
 
2.6%
Other values (17) 17
44.7%
ValueCountFrequency (%)
0 4
10.5%
1 1
 
2.6%
2 3
7.9%
3 1
 
2.6%
4 1
 
2.6%
6 1
 
2.6%
7 3
7.9%
9 2
5.3%
11 2
5.3%
12 2
5.3%
ValueCountFrequency (%)
2112 1
2.6%
1286 1
2.6%
1159 1
2.6%
977 1
2.6%
946 1
2.6%
539 1
2.6%
323 1
2.6%
301 2
5.3%
243 1
2.6%
135 1
2.6%

종교기관
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.105263
Minimum0
Maximum574
Zeros7
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:23.746950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q341
95-th percentile214.95
Maximum574
Range574
Interquartile range (IQR)40

Descriptive statistics

Standard deviation115.51057
Coefficient of variation (CV)2.4012044
Kurtosis13.651423
Mean48.105263
Median Absolute Deviation (MAD)3
Skewness3.6060892
Sum1828
Variance13342.691
MonotonicityNot monotonic
2023-12-12T14:57:23.938279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 7
18.4%
1 5
13.2%
2 5
13.2%
3 3
 
7.9%
13 2
 
5.3%
413 1
 
2.6%
17 1
 
2.6%
64 1
 
2.6%
4 1
 
2.6%
16 1
 
2.6%
Other values (11) 11
28.9%
ValueCountFrequency (%)
0 7
18.4%
1 5
13.2%
2 5
13.2%
3 3
7.9%
4 1
 
2.6%
6 1
 
2.6%
7 1
 
2.6%
13 2
 
5.3%
16 1
 
2.6%
17 1
 
2.6%
ValueCountFrequency (%)
574 1
2.6%
413 1
2.6%
180 1
2.6%
135 1
2.6%
113 1
2.6%
65 1
2.6%
64 1
2.6%
61 1
2.6%
45 1
2.6%
43 1
2.6%

산야
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240.18421
Minimum0
Maximum3362
Zeros6
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:24.099058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median11.5
Q397.5
95-th percentile1593.6
Maximum3362
Range3362
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation694.96233
Coefficient of variation (CV)2.8934555
Kurtosis13.618342
Mean240.18421
Median Absolute Deviation (MAD)11.5
Skewness3.7014233
Sum9127
Variance482972.64
MonotonicityNot monotonic
2023-12-12T14:57:24.609399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 6
 
15.8%
3 4
 
10.5%
2 2
 
5.3%
6 2
 
5.3%
284 1
 
2.6%
2515 1
 
2.6%
1 1
 
2.6%
51 1
 
2.6%
204 1
 
2.6%
113 1
 
2.6%
Other values (18) 18
47.4%
ValueCountFrequency (%)
0 6
15.8%
1 1
 
2.6%
2 2
 
5.3%
3 4
10.5%
4 1
 
2.6%
5 1
 
2.6%
6 2
 
5.3%
9 1
 
2.6%
11 1
 
2.6%
12 1
 
2.6%
ValueCountFrequency (%)
3362 1
2.6%
2515 1
2.6%
1431 1
2.6%
402 1
2.6%
284 1
2.6%
217 1
2.6%
204 1
2.6%
130 1
2.6%
113 1
2.6%
103 1
2.6%

해상
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean558.28947
Minimum0
Maximum20344
Zeros16
Zeros (%)42.1%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:24.770962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q319.5
95-th percentile197.1
Maximum20344
Range20344
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation3296.8746
Coefficient of variation (CV)5.9053139
Kurtosis37.976979
Mean558.28947
Median Absolute Deviation (MAD)1
Skewness6.1617024
Sum21215
Variance10869382
MonotonicityNot monotonic
2023-12-12T14:57:24.903805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 16
42.1%
1 5
 
13.2%
5 2
 
5.3%
3 1
 
2.6%
47 1
 
2.6%
20344 1
 
2.6%
277 1
 
2.6%
64 1
 
2.6%
183 1
 
2.6%
12 1
 
2.6%
Other values (8) 8
21.1%
ValueCountFrequency (%)
0 16
42.1%
1 5
 
13.2%
2 1
 
2.6%
3 1
 
2.6%
4 1
 
2.6%
5 2
 
5.3%
7 1
 
2.6%
12 1
 
2.6%
22 1
 
2.6%
41 1
 
2.6%
ValueCountFrequency (%)
20344 1
2.6%
277 1
2.6%
183 1
2.6%
95 1
2.6%
64 1
2.6%
53 1
2.6%
47 1
2.6%
46 1
2.6%
41 1
2.6%
22 1
2.6%

부대
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum0
Maximum405
Zeros15
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:25.060963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312.75
95-th percentile121
Maximum405
Range405
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation83.083156
Coefficient of variation (CV)3.0771539
Kurtosis15.6393
Mean27
Median Absolute Deviation (MAD)1
Skewness3.9912839
Sum1026
Variance6902.8108
MonotonicityNot monotonic
2023-12-12T14:57:25.197098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 15
39.5%
1 5
 
13.2%
2 2
 
5.3%
5 2
 
5.3%
16 2
 
5.3%
3 2
 
5.3%
325 1
 
2.6%
405 1
 
2.6%
8 1
 
2.6%
24 1
 
2.6%
Other values (6) 6
 
15.8%
ValueCountFrequency (%)
0 15
39.5%
1 5
 
13.2%
2 2
 
5.3%
3 2
 
5.3%
5 2
 
5.3%
8 1
 
2.6%
9 1
 
2.6%
14 1
 
2.6%
15 1
 
2.6%
16 2
 
5.3%
ValueCountFrequency (%)
405 1
2.6%
325 1
2.6%
85 1
2.6%
64 1
2.6%
24 1
2.6%
20 1
2.6%
16 2
5.3%
15 1
2.6%
14 1
2.6%
9 1
2.6%

구금장소
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3947368
Minimum0
Maximum36
Zeros22
Zeros (%)57.9%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:25.354256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile17.55
Maximum36
Range36
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.9747557
Coefficient of variation (CV)2.3491528
Kurtosis11.060098
Mean3.3947368
Median Absolute Deviation (MAD)0
Skewness3.3148551
Sum129
Variance63.596728
MonotonicityNot monotonic
2023-12-12T14:57:25.495552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 22
57.9%
1 4
 
10.5%
2 3
 
7.9%
8 2
 
5.3%
5 2
 
5.3%
4 1
 
2.6%
36 1
 
2.6%
6 1
 
2.6%
15 1
 
2.6%
32 1
 
2.6%
ValueCountFrequency (%)
0 22
57.9%
1 4
 
10.5%
2 3
 
7.9%
4 1
 
2.6%
5 2
 
5.3%
6 1
 
2.6%
8 2
 
5.3%
15 1
 
2.6%
32 1
 
2.6%
36 1
 
2.6%
ValueCountFrequency (%)
36 1
 
2.6%
32 1
 
2.6%
15 1
 
2.6%
8 2
 
5.3%
6 1
 
2.6%
5 2
 
5.3%
4 1
 
2.6%
2 3
 
7.9%
1 4
 
10.5%
0 22
57.9%

공지
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7368421
Minimum0
Maximum72
Zeros19
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:25.660205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q33
95-th percentile26.5
Maximum72
Range72
Interquartile range (IQR)3

Descriptive statistics

Standard deviation14.567057
Coefficient of variation (CV)2.5392118
Kurtosis13.678048
Mean5.7368421
Median Absolute Deviation (MAD)0.5
Skewness3.6281002
Sum218
Variance212.19915
MonotonicityNot monotonic
2023-12-12T14:57:25.767637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 19
50.0%
1 4
 
10.5%
2 4
 
10.5%
3 3
 
7.9%
6 2
 
5.3%
52 1
 
2.6%
22 1
 
2.6%
19 1
 
2.6%
5 1
 
2.6%
15 1
 
2.6%
ValueCountFrequency (%)
0 19
50.0%
1 4
 
10.5%
2 4
 
10.5%
3 3
 
7.9%
5 1
 
2.6%
6 2
 
5.3%
15 1
 
2.6%
19 1
 
2.6%
22 1
 
2.6%
52 1
 
2.6%
ValueCountFrequency (%)
72 1
 
2.6%
52 1
 
2.6%
22 1
 
2.6%
19 1
 
2.6%
15 1
 
2.6%
6 2
5.3%
5 1
 
2.6%
3 3
7.9%
2 4
10.5%
1 4
10.5%

주차장
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean718.97368
Minimum0
Maximum10381
Zeros5
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:25.937405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median20
Q3205.5
95-th percentile3619.95
Maximum10381
Range10381
Interquartile range (IQR)203.5

Descriptive statistics

Standard deviation2044.5113
Coefficient of variation (CV)2.8436525
Kurtosis15.554313
Mean718.97368
Median Absolute Deviation (MAD)20
Skewness3.8685852
Sum27321
Variance4180026.6
MonotonicityNot monotonic
2023-12-12T14:57:26.071710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 5
 
13.2%
1 4
 
10.5%
2 3
 
7.9%
5 2
 
5.3%
10 2
 
5.3%
2115 1
 
2.6%
692 1
 
2.6%
19 1
 
2.6%
102 1
 
2.6%
183 1
 
2.6%
Other values (17) 17
44.7%
ValueCountFrequency (%)
0 5
13.2%
1 4
10.5%
2 3
7.9%
5 2
 
5.3%
7 1
 
2.6%
10 2
 
5.3%
14 1
 
2.6%
19 1
 
2.6%
21 1
 
2.6%
30 1
 
2.6%
ValueCountFrequency (%)
10381 1
2.6%
7031 1
2.6%
3018 1
2.6%
2115 1
2.6%
1188 1
2.6%
1032 1
2.6%
692 1
2.6%
592 1
2.6%
314 1
2.6%
213 1
2.6%

공중화장실
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.842105
Minimum0
Maximum1068
Zeros15
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:26.198417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q328.75
95-th percentile736.3
Maximum1068
Range1068
Interquartile range (IQR)28.75

Descriptive statistics

Standard deviation248.28618
Coefficient of variation (CV)2.6742843
Kurtosis9.493699
Mean92.842105
Median Absolute Deviation (MAD)1.5
Skewness3.1913867
Sum3528
Variance61646.028
MonotonicityNot monotonic
2023-12-12T14:57:26.319665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 15
39.5%
1 4
 
10.5%
4 3
 
7.9%
3 1
 
2.6%
196 1
 
2.6%
30 1
 
2.6%
925 1
 
2.6%
1068 1
 
2.6%
176 1
 
2.6%
25 1
 
2.6%
Other values (9) 9
23.7%
ValueCountFrequency (%)
0 15
39.5%
1 4
 
10.5%
2 1
 
2.6%
3 1
 
2.6%
4 3
 
7.9%
6 1
 
2.6%
8 1
 
2.6%
12 1
 
2.6%
25 1
 
2.6%
30 1
 
2.6%
ValueCountFrequency (%)
1068 1
2.6%
925 1
2.6%
703 1
2.6%
196 1
2.6%
194 1
2.6%
176 1
2.6%
65 1
2.6%
51 1
2.6%
48 1
2.6%
30 1
2.6%

피씨방
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.342105
Minimum0
Maximum994
Zeros13
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:26.486535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q375.5
95-th percentile373.3
Maximum994
Range994
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation227.11424
Coefficient of variation (CV)2.4073476
Kurtosis12.199307
Mean94.342105
Median Absolute Deviation (MAD)3.5
Skewness3.4891352
Sum3585
Variance51580.88
MonotonicityNot monotonic
2023-12-12T14:57:26.608272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 13
34.2%
2 2
 
5.3%
3 2
 
5.3%
1 2
 
5.3%
987 1
 
2.6%
150 1
 
2.6%
10 1
 
2.6%
83 1
 
2.6%
117 1
 
2.6%
265 1
 
2.6%
Other values (13) 13
34.2%
ValueCountFrequency (%)
0 13
34.2%
1 2
 
5.3%
2 2
 
5.3%
3 2
 
5.3%
4 1
 
2.6%
7 1
 
2.6%
10 1
 
2.6%
14 1
 
2.6%
18 1
 
2.6%
23 1
 
2.6%
ValueCountFrequency (%)
994 1
2.6%
987 1
2.6%
265 1
2.6%
257 1
2.6%
237 1
2.6%
169 1
2.6%
150 1
2.6%
119 1
2.6%
117 1
2.6%
83 1
2.6%

기타
Real number (ℝ)

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10348.895
Minimum17
Maximum197773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T14:57:26.806974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile20.4
Q1114.75
median1397.5
Q34083.5
95-th percentile31270.1
Maximum197773
Range197756
Interquartile range (IQR)3968.75

Descriptive statistics

Standard deviation34489.303
Coefficient of variation (CV)3.3326557
Kurtosis25.316873
Mean10348.895
Median Absolute Deviation (MAD)1334.5
Skewness4.8968435
Sum393258
Variance1.189512 × 109
MonotonicityNot monotonic
2023-12-12T14:57:27.006915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
17 2
 
5.3%
2568 1
 
2.6%
21 1
 
2.6%
197773 1
 
2.6%
11262 1
 
2.6%
1622 1
 
2.6%
10622 1
 
2.6%
2073 1
 
2.6%
21131 1
 
2.6%
3920 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
17 2
5.3%
21 1
2.6%
30 1
2.6%
32 1
2.6%
33 1
2.6%
84 1
2.6%
92 1
2.6%
93 1
2.6%
111 1
2.6%
126 1
2.6%
ValueCountFrequency (%)
197773 1
2.6%
88725 1
2.6%
21131 1
2.6%
14665 1
2.6%
11262 1
2.6%
10622 1
2.6%
8368 1
2.6%
5148 1
2.6%
4654 1
2.6%
4138 1
2.6%

Sample

범죄대분류범죄중분류아파트_연립다세대단독주택고속도로노상백화점슈퍼마켓편의점대형할인매장상점시장_노점숙박업소_목욕탕유흥접객업소사무실공장공사장_광산창고역_대합실지하철기타교통수단내흥행장유원지학교금융기관의료기관종교기관산야해상부대구금장소공지주차장공중화장실피씨방기타
0강력범죄살인기수114600280010119881001030310713300050017
1강력범죄살인미수등123850105010140524132011080201613000052133
2강력범죄강도62460141012321274484213320511500020030010211430
3강력범죄강간1616880015802303319164419655223201311201501179010145483560
4강력범죄유사강간240147257100098184552611000472880112500207121111
5강력범죄강제추행16199831130983486277113731508432803529441293137201017952583401830145322208011465371597
6강력범죄기타 강간?강제추행등7154016000022271240010030340200000016017
7강력범죄방화3312741207056131264136361461071231155152154002328393
8절도범죄절도범죄171968117115519452274117036994353617550392727388323214611231207101011755852924426177112502493946574336246154521038170399414665
9폭력범죄상해416025703591501388126123392485813997853253191331182915238280411133236113022145659251531859
범죄대분류범죄중분류아파트_연립다세대단독주택고속도로노상백화점슈퍼마켓편의점대형할인매장상점시장_노점숙박업소_목욕탕유흥접객업소사무실공장공사장_광산창고역_대합실지하철기타교통수단내흥행장유원지학교금융기관의료기관종교기관산야해상부대구금장소공지주차장공중화장실피씨방기타
28특별경제범죄특별경제범죄140794323422240337133152216681054958886552519285301592241943937055053964811250318348321131
29마약범죄마약범죄1209193861880022007031920314173460452411241961512432402520610230102568
30보건범죄보건범죄958423213370335418514191597441671481715047047949771311300021911503920
31환경범죄환경범죄121926280001338641115812701712014685309020418300152001198
32교통범죄교통범죄106377471230183023048537147610211104623660715164003692002088
33노동범죄노동범죄21126003052237124146000101000306277000000194
34안보범죄안보범죄3713000101033760001110013030000000084
35선거범죄선거범죄79760999021171937152700112226202711171000010101083
36병역범죄병역범죄31741102120000213220352200502161507000405010002856
37기타범죄기타범죄255251648411954861696569215082284914002742130591908715421178213045992172972344896217122521124132515203443253272211519698788725