Overview

Dataset statistics

Number of variables29
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory261.2 B

Variable types

Categorical8
Numeric21

Dataset

Description인천광역시 경찰서 범죄유형별(강력범죄, 절도범죄, 폭력범죄, 성풍속범죄)로 범죄장소(아파트, 단독주택, 고속도로, 지하철, 유원지 등)별로 통계건수에 대한 데이터
URLhttps://www.data.go.kr/data/15113622/fileData.do

Alerts

고속도로 is highly imbalanced (56.0%)Imbalance
해상 is highly imbalanced (87.8%)Imbalance
부대 is highly imbalanced (58.6%)Imbalance
구금장소 is highly imbalanced (87.8%)Imbalance
공지 is highly imbalanced (87.8%)Imbalance
아파트연립 has 19 (31.7%) zerosZeros
단독주택 has 16 (26.7%) zerosZeros
노상 has 10 (16.7%) zerosZeros
상점 has 24 (40.0%) zerosZeros
시장 노점 has 42 (70.0%) zerosZeros
숙박업소 목욕탕 has 28 (46.7%) zerosZeros
유흥접객업소 has 22 (36.7%) zerosZeros
사무실 has 18 (30.0%) zerosZeros
공장 has 40 (66.7%) zerosZeros
공사장 광산 has 40 (66.7%) zerosZeros
창고 has 44 (73.3%) zerosZeros
역대합실 has 33 (55.0%) zerosZeros
지하철 has 43 (71.7%) zerosZeros
기타교통수단 has 33 (55.0%) zerosZeros
유원지 has 30 (50.0%) zerosZeros
학교 has 32 (53.3%) zerosZeros
금융기관 has 45 (75.0%) zerosZeros
의료기관 has 37 (61.7%) zerosZeros
종교기관 has 37 (61.7%) zerosZeros
산야 has 46 (76.7%) zerosZeros
기타 has 3 (5.0%) zerosZeros

Reproduction

Analysis started2023-12-12 14:04:38.850395
Analysis finished2023-12-12 14:04:39.476329
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경찰서
Categorical

Distinct10
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
중부서
6 
미추홀서
6 
남동서
6 
부평서
6 
서부서
6 
Other values (5)
30 

Length

Max length4
Median length3
Mean length3.1
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중부서 6
10.0%
미추홀서 6
10.0%
남동서 6
10.0%
부평서 6
10.0%
서부서 6
10.0%
계양서 6
10.0%
강화서 6
10.0%
연수서 6
10.0%
삼산서 6
10.0%
논현서 6
10.0%

Length

2023-12-12T23:04:39.555547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:39.809176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중부서 6
10.0%
미추홀서 6
10.0%
남동서 6
10.0%
부평서 6
10.0%
서부서 6
10.0%
계양서 6
10.0%
강화서 6
10.0%
연수서 6
10.0%
삼산서 6
10.0%
논현서 6
10.0%

범죄분류
Categorical

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
강력범죄 살인
10 
강력범죄 강도
10 
강력범죄 강간추행
10 
절도범죄
10 
폭력범죄
10 

Length

Max length9
Median length7
Mean length6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강력범죄 살인
2nd row강력범죄 강도
3rd row강력범죄 강간추행
4th row절도범죄
5th row폭력범죄

Common Values

ValueCountFrequency (%)
강력범죄 살인 10
16.7%
강력범죄 강도 10
16.7%
강력범죄 강간추행 10
16.7%
절도범죄 10
16.7%
폭력범죄 10
16.7%
성풍속범죄 10
16.7%

Length

2023-12-12T23:04:40.028695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:40.210245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강력범죄 30
33.3%
살인 10
 
11.1%
강도 10
 
11.1%
강간추행 10
 
11.1%
절도범죄 10
 
11.1%
폭력범죄 10
 
11.1%
성풍속범죄 10
 
11.1%

아파트연립
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.633333
Minimum0
Maximum255
Zeros19
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:40.392467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q330.25
95-th percentile159.75
Maximum255
Range255
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation54.791119
Coefficient of variation (CV)1.9135431
Kurtosis6.20299
Mean28.633333
Median Absolute Deviation (MAD)2.5
Skewness2.538949
Sum1718
Variance3002.0667
MonotonicityNot monotonic
2023-12-12T23:04:40.594991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 19
31.7%
1 7
 
11.7%
11 4
 
6.7%
2 4
 
6.7%
5 3
 
5.0%
4 1
 
1.7%
31 1
 
1.7%
3 1
 
1.7%
119 1
 
1.7%
51 1
 
1.7%
Other values (18) 18
30.0%
ValueCountFrequency (%)
0 19
31.7%
1 7
 
11.7%
2 4
 
6.7%
3 1
 
1.7%
4 1
 
1.7%
5 3
 
5.0%
6 1
 
1.7%
11 4
 
6.7%
16 1
 
1.7%
19 1
 
1.7%
ValueCountFrequency (%)
255 1
1.7%
196 1
1.7%
174 1
1.7%
159 1
1.7%
154 1
1.7%
119 1
1.7%
88 1
1.7%
67 1
1.7%
57 1
1.7%
51 1
1.7%

단독주택
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.383333
Minimum0
Maximum141
Zeros16
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:40.778420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323.25
95-th percentile82.15
Maximum141
Range141
Interquartile range (IQR)23.25

Descriptive statistics

Standard deviation30.249859
Coefficient of variation (CV)1.6455046
Kurtosis4.8951018
Mean18.383333
Median Absolute Deviation (MAD)3
Skewness2.1996387
Sum1103
Variance915.05395
MonotonicityNot monotonic
2023-12-12T23:04:40.985134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 16
26.7%
1 7
 
11.7%
2 5
 
8.3%
3 4
 
6.7%
24 2
 
3.3%
5 2
 
3.3%
15 2
 
3.3%
8 2
 
3.3%
110 1
 
1.7%
4 1
 
1.7%
Other values (18) 18
30.0%
ValueCountFrequency (%)
0 16
26.7%
1 7
11.7%
2 5
 
8.3%
3 4
 
6.7%
4 1
 
1.7%
5 2
 
3.3%
8 2
 
3.3%
11 1
 
1.7%
12 1
 
1.7%
13 1
 
1.7%
ValueCountFrequency (%)
141 1
1.7%
110 1
1.7%
85 1
1.7%
82 1
1.7%
80 1
1.7%
59 1
1.7%
58 1
1.7%
56 1
1.7%
50 1
1.7%
45 1
1.7%

고속도로
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
49 
1
 
4
2
 
4
3
 
2
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 49
81.7%
1 4
 
6.7%
2 4
 
6.7%
3 2
 
3.3%
6 1
 
1.7%

Length

2023-12-12T23:04:41.197517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:41.320930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
81.7%
1 4
 
6.7%
2 4
 
6.7%
3 2
 
3.3%
6 1
 
1.7%

노상
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.53333
Minimum0
Maximum1267
Zeros10
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:41.469326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median19.5
Q3134
95-th percentile999.6
Maximum1267
Range1267
Interquartile range (IQR)132.25

Descriptive statistics

Standard deviation310.02474
Coefficient of variation (CV)1.9555808
Kurtosis4.884033
Mean158.53333
Median Absolute Deviation (MAD)19.5
Skewness2.3803086
Sum9512
Variance96115.338
MonotonicityNot monotonic
2023-12-12T23:04:41.633917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 10
 
16.7%
1 5
 
8.3%
3 4
 
6.7%
300 2
 
3.3%
24 2
 
3.3%
19 2
 
3.3%
5 2
 
3.3%
280 1
 
1.7%
1011 1
 
1.7%
43 1
 
1.7%
Other values (30) 30
50.0%
ValueCountFrequency (%)
0 10
16.7%
1 5
8.3%
2 1
 
1.7%
3 4
 
6.7%
4 1
 
1.7%
5 2
 
3.3%
7 1
 
1.7%
8 1
 
1.7%
9 1
 
1.7%
11 1
 
1.7%
ValueCountFrequency (%)
1267 1
1.7%
1189 1
1.7%
1011 1
1.7%
999 1
1.7%
793 1
1.7%
665 1
1.7%
559 1
1.7%
536 1
1.7%
300 2
3.3%
280 1
1.7%

상점
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.25
Minimum0
Maximum138
Zeros24
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:41.783463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q317.5
95-th percentile128.2
Maximum138
Range138
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation39.255195
Coefficient of variation (CV)1.9385282
Kurtosis3.4453752
Mean20.25
Median Absolute Deviation (MAD)1.5
Skewness2.1706984
Sum1215
Variance1540.9703
MonotonicityNot monotonic
2023-12-12T23:04:41.926901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 24
40.0%
1 6
 
10.0%
3 4
 
6.7%
6 2
 
3.3%
4 2
 
3.3%
5 2
 
3.3%
17 2
 
3.3%
2 1
 
1.7%
19 1
 
1.7%
128 1
 
1.7%
Other values (15) 15
25.0%
ValueCountFrequency (%)
0 24
40.0%
1 6
 
10.0%
2 1
 
1.7%
3 4
 
6.7%
4 2
 
3.3%
5 2
 
3.3%
6 2
 
3.3%
8 1
 
1.7%
9 1
 
1.7%
17 2
 
3.3%
ValueCountFrequency (%)
138 1
1.7%
135 1
1.7%
132 1
1.7%
128 1
1.7%
116 1
1.7%
112 1
1.7%
83 1
1.7%
60 1
1.7%
46 1
1.7%
44 1
1.7%

시장 노점
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81666667
Minimum0
Maximum8
Zeros42
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:42.075369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6823276
Coefficient of variation (CV)2.0599929
Kurtosis6.613297
Mean0.81666667
Median Absolute Deviation (MAD)0
Skewness2.5527292
Sum49
Variance2.830226
MonotonicityNot monotonic
2023-12-12T23:04:42.223123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 42
70.0%
1 7
 
11.7%
2 4
 
6.7%
5 2
 
3.3%
3 2
 
3.3%
8 1
 
1.7%
6 1
 
1.7%
4 1
 
1.7%
ValueCountFrequency (%)
0 42
70.0%
1 7
 
11.7%
2 4
 
6.7%
3 2
 
3.3%
4 1
 
1.7%
5 2
 
3.3%
6 1
 
1.7%
8 1
 
1.7%
ValueCountFrequency (%)
8 1
 
1.7%
6 1
 
1.7%
5 2
 
3.3%
4 1
 
1.7%
3 2
 
3.3%
2 4
 
6.7%
1 7
 
11.7%
0 42
70.0%

숙박업소 목욕탕
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.15
Minimum0
Maximum37
Zeros28
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:42.334442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310.25
95-th percentile20.05
Maximum37
Range37
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation8.1382649
Coefficient of variation (CV)1.3232951
Kurtosis1.9929347
Mean6.15
Median Absolute Deviation (MAD)1
Skewness1.3895365
Sum369
Variance66.231356
MonotonicityNot monotonic
2023-12-12T23:04:42.453770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 28
46.7%
9 5
 
8.3%
1 4
 
6.7%
16 3
 
5.0%
6 2
 
3.3%
21 2
 
3.3%
10 2
 
3.3%
18 2
 
3.3%
2 1
 
1.7%
15 1
 
1.7%
Other values (10) 10
 
16.7%
ValueCountFrequency (%)
0 28
46.7%
1 4
 
6.7%
2 1
 
1.7%
3 1
 
1.7%
4 1
 
1.7%
6 2
 
3.3%
8 1
 
1.7%
9 5
 
8.3%
10 2
 
3.3%
11 1
 
1.7%
ValueCountFrequency (%)
37 1
 
1.7%
21 2
3.3%
20 1
 
1.7%
19 1
 
1.7%
18 2
3.3%
17 1
 
1.7%
16 3
5.0%
15 1
 
1.7%
14 1
 
1.7%
12 1
 
1.7%

유흥접객업소
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.733333
Minimum0
Maximum147
Zeros22
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:42.583673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q330.5
95-th percentile97.45
Maximum147
Range147
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation35.353837
Coefficient of variation (CV)1.6267103
Kurtosis3.1617729
Mean21.733333
Median Absolute Deviation (MAD)2
Skewness1.9394857
Sum1304
Variance1249.8938
MonotonicityNot monotonic
2023-12-12T23:04:42.736835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 22
36.7%
1 6
 
10.0%
32 3
 
5.0%
2 3
 
5.0%
15 2
 
3.3%
3 2
 
3.3%
10 1
 
1.7%
6 1
 
1.7%
97 1
 
1.7%
106 1
 
1.7%
Other values (18) 18
30.0%
ValueCountFrequency (%)
0 22
36.7%
1 6
 
10.0%
2 3
 
5.0%
3 2
 
3.3%
6 1
 
1.7%
8 1
 
1.7%
10 1
 
1.7%
12 1
 
1.7%
14 1
 
1.7%
15 2
 
3.3%
ValueCountFrequency (%)
147 1
1.7%
130 1
1.7%
106 1
1.7%
97 1
1.7%
84 1
1.7%
80 1
1.7%
79 1
1.7%
75 1
1.7%
72 1
1.7%
56 1
1.7%

사무실
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8666667
Minimum0
Maximum67
Zeros18
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:42.868359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile33.35
Maximum67
Range67
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.86147
Coefficient of variation (CV)1.6761056
Kurtosis5.7515969
Mean8.8666667
Median Absolute Deviation (MAD)2
Skewness2.3424693
Sum532
Variance220.86328
MonotonicityNot monotonic
2023-12-12T23:04:42.990947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 18
30.0%
1 11
18.3%
2 6
 
10.0%
4 4
 
6.7%
31 2
 
3.3%
11 2
 
3.3%
9 2
 
3.3%
22 1
 
1.7%
6 1
 
1.7%
30 1
 
1.7%
Other values (12) 12
20.0%
ValueCountFrequency (%)
0 18
30.0%
1 11
18.3%
2 6
 
10.0%
4 4
 
6.7%
5 1
 
1.7%
6 1
 
1.7%
7 1
 
1.7%
9 2
 
3.3%
11 2
 
3.3%
12 1
 
1.7%
ValueCountFrequency (%)
67 1
1.7%
64 1
1.7%
40 1
1.7%
33 1
1.7%
32 1
1.7%
31 2
3.3%
30 1
1.7%
23 1
1.7%
22 1
1.7%
20 1
1.7%

공장
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.95
Minimum0
Maximum17
Zeros40
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:43.107639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.3702577
Coefficient of variation (CV)2.2411578
Kurtosis6.0105682
Mean1.95
Median Absolute Deviation (MAD)0
Skewness2.6602485
Sum117
Variance19.099153
MonotonicityNot monotonic
2023-12-12T23:04:43.219597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 40
66.7%
2 5
 
8.3%
1 4
 
6.7%
15 3
 
5.0%
4 2
 
3.3%
3 2
 
3.3%
16 1
 
1.7%
17 1
 
1.7%
5 1
 
1.7%
6 1
 
1.7%
ValueCountFrequency (%)
0 40
66.7%
1 4
 
6.7%
2 5
 
8.3%
3 2
 
3.3%
4 2
 
3.3%
5 1
 
1.7%
6 1
 
1.7%
15 3
 
5.0%
16 1
 
1.7%
17 1
 
1.7%
ValueCountFrequency (%)
17 1
 
1.7%
16 1
 
1.7%
15 3
 
5.0%
6 1
 
1.7%
5 1
 
1.7%
4 2
 
3.3%
3 2
 
3.3%
2 5
 
8.3%
1 4
 
6.7%
0 40
66.7%

공사장 광산
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.65
Minimum0
Maximum16
Zeros40
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:43.340452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum16
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.2719921
Coefficient of variation (CV)1.9830255
Kurtosis6.1143919
Mean1.65
Median Absolute Deviation (MAD)0
Skewness2.4189884
Sum99
Variance10.705932
MonotonicityNot monotonic
2023-12-12T23:04:43.450711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 40
66.7%
2 6
 
10.0%
8 5
 
8.3%
1 3
 
5.0%
3 2
 
3.3%
10 1
 
1.7%
16 1
 
1.7%
7 1
 
1.7%
5 1
 
1.7%
ValueCountFrequency (%)
0 40
66.7%
1 3
 
5.0%
2 6
 
10.0%
3 2
 
3.3%
5 1
 
1.7%
7 1
 
1.7%
8 5
 
8.3%
10 1
 
1.7%
16 1
 
1.7%
ValueCountFrequency (%)
16 1
 
1.7%
10 1
 
1.7%
8 5
 
8.3%
7 1
 
1.7%
5 1
 
1.7%
3 2
 
3.3%
2 6
 
10.0%
1 3
 
5.0%
0 40
66.7%

창고
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88333333
Minimum0
Maximum18
Zeros44
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:43.550090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.15
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.6043749
Coefficient of variation (CV)2.9483489
Kurtosis32.454993
Mean0.88333333
Median Absolute Deviation (MAD)0
Skewness5.2538267
Sum53
Variance6.7827684
MonotonicityNot monotonic
2023-12-12T23:04:43.644356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 44
73.3%
1 7
 
11.7%
3 4
 
6.7%
6 2
 
3.3%
2 2
 
3.3%
18 1
 
1.7%
ValueCountFrequency (%)
0 44
73.3%
1 7
 
11.7%
2 2
 
3.3%
3 4
 
6.7%
6 2
 
3.3%
18 1
 
1.7%
ValueCountFrequency (%)
18 1
 
1.7%
6 2
 
3.3%
3 4
 
6.7%
2 2
 
3.3%
1 7
 
11.7%
0 44
73.3%

역대합실
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1166667
Minimum0
Maximum31
Zeros33
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:43.759760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9.1
Maximum31
Range31
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.0592813
Coefficient of variation (CV)2.3902117
Kurtosis20.012698
Mean2.1166667
Median Absolute Deviation (MAD)0
Skewness4.1764607
Sum127
Variance25.596328
MonotonicityNot monotonic
2023-12-12T23:04:43.856965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 33
55.0%
1 9
 
15.0%
2 7
 
11.7%
3 3
 
5.0%
6 2
 
3.3%
31 1
 
1.7%
20 1
 
1.7%
4 1
 
1.7%
11 1
 
1.7%
8 1
 
1.7%
ValueCountFrequency (%)
0 33
55.0%
1 9
 
15.0%
2 7
 
11.7%
3 3
 
5.0%
4 1
 
1.7%
6 2
 
3.3%
8 1
 
1.7%
9 1
 
1.7%
11 1
 
1.7%
20 1
 
1.7%
ValueCountFrequency (%)
31 1
 
1.7%
20 1
 
1.7%
11 1
 
1.7%
9 1
 
1.7%
8 1
 
1.7%
6 2
 
3.3%
4 1
 
1.7%
3 3
 
5.0%
2 7
11.7%
1 9
15.0%

지하철
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66666667
Minimum0
Maximum5
Zeros43
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:43.952559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2166454
Coefficient of variation (CV)1.8249681
Kurtosis2.4229394
Mean0.66666667
Median Absolute Deviation (MAD)0
Skewness1.7870913
Sum40
Variance1.480226
MonotonicityNot monotonic
2023-12-12T23:04:44.045390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 43
71.7%
2 6
 
10.0%
3 5
 
8.3%
1 4
 
6.7%
5 1
 
1.7%
4 1
 
1.7%
ValueCountFrequency (%)
0 43
71.7%
1 4
 
6.7%
2 6
 
10.0%
3 5
 
8.3%
4 1
 
1.7%
5 1
 
1.7%
ValueCountFrequency (%)
5 1
 
1.7%
4 1
 
1.7%
3 5
 
8.3%
2 6
 
10.0%
1 4
 
6.7%
0 43
71.7%

기타교통수단
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.15
Minimum0
Maximum29
Zeros33
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:44.139288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile13
Maximum29
Range29
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.436303
Coefficient of variation (CV)1.7258105
Kurtosis7.9159442
Mean3.15
Median Absolute Deviation (MAD)0
Skewness2.4906743
Sum189
Variance29.55339
MonotonicityNot monotonic
2023-12-12T23:04:44.242123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 33
55.0%
1 4
 
6.7%
2 4
 
6.7%
6 3
 
5.0%
5 3
 
5.0%
10 2
 
3.3%
3 2
 
3.3%
13 2
 
3.3%
11 2
 
3.3%
29 1
 
1.7%
Other values (4) 4
 
6.7%
ValueCountFrequency (%)
0 33
55.0%
1 4
 
6.7%
2 4
 
6.7%
3 2
 
3.3%
4 1
 
1.7%
5 3
 
5.0%
6 3
 
5.0%
9 1
 
1.7%
10 2
 
3.3%
11 2
 
3.3%
ValueCountFrequency (%)
29 1
 
1.7%
16 1
 
1.7%
13 2
3.3%
12 1
 
1.7%
11 2
3.3%
10 2
3.3%
9 1
 
1.7%
6 3
5.0%
5 3
5.0%
4 1
 
1.7%

흥행장
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
48 
1
6 
2
 
4
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 48
80.0%
1 6
 
10.0%
2 4
 
6.7%
3 2
 
3.3%

Length

2023-12-12T23:04:44.382230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:44.486818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 48
80.0%
1 6
 
10.0%
2 4
 
6.7%
3 2
 
3.3%

유원지
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0333333
Minimum0
Maximum29
Zeros30
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:44.590716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q36
95-th percentile18.05
Maximum29
Range29
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.4701837
Coefficient of variation (CV)1.6041778
Kurtosis3.486077
Mean4.0333333
Median Absolute Deviation (MAD)0.5
Skewness1.9280535
Sum242
Variance41.863277
MonotonicityNot monotonic
2023-12-12T23:04:44.785326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 30
50.0%
1 6
 
10.0%
5 4
 
6.7%
2 3
 
5.0%
6 3
 
5.0%
18 2
 
3.3%
9 2
 
3.3%
14 1
 
1.7%
19 1
 
1.7%
7 1
 
1.7%
Other values (7) 7
 
11.7%
ValueCountFrequency (%)
0 30
50.0%
1 6
 
10.0%
2 3
 
5.0%
3 1
 
1.7%
5 4
 
6.7%
6 3
 
5.0%
7 1
 
1.7%
8 1
 
1.7%
9 2
 
3.3%
11 1
 
1.7%
ValueCountFrequency (%)
29 1
1.7%
20 1
1.7%
19 1
1.7%
18 2
3.3%
15 1
1.7%
14 1
1.7%
12 1
1.7%
11 1
1.7%
9 2
3.3%
8 1
1.7%

학교
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.15
Minimum0
Maximum14
Zeros32
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:44.883105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile10
Maximum14
Range14
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation3.4778963
Coefficient of variation (CV)1.6176262
Kurtosis2.5785737
Mean2.15
Median Absolute Deviation (MAD)0
Skewness1.830415
Sum129
Variance12.095763
MonotonicityNot monotonic
2023-12-12T23:04:44.985510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 32
53.3%
1 7
 
11.7%
2 6
 
10.0%
6 3
 
5.0%
10 3
 
5.0%
4 3
 
5.0%
14 1
 
1.7%
7 1
 
1.7%
12 1
 
1.7%
9 1
 
1.7%
Other values (2) 2
 
3.3%
ValueCountFrequency (%)
0 32
53.3%
1 7
 
11.7%
2 6
 
10.0%
3 1
 
1.7%
4 3
 
5.0%
5 1
 
1.7%
6 3
 
5.0%
7 1
 
1.7%
9 1
 
1.7%
10 3
 
5.0%
ValueCountFrequency (%)
14 1
 
1.7%
12 1
 
1.7%
10 3
5.0%
9 1
 
1.7%
7 1
 
1.7%
6 3
5.0%
5 1
 
1.7%
4 3
5.0%
3 1
 
1.7%
2 6
10.0%

금융기관
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5833333
Minimum0
Maximum37
Zeros45
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:45.119563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.25
95-th percentile27.15
Maximum37
Range37
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation9.0858274
Coefficient of variation (CV)2.5355797
Kurtosis6.0495103
Mean3.5833333
Median Absolute Deviation (MAD)0
Skewness2.6502202
Sum215
Variance82.55226
MonotonicityNot monotonic
2023-12-12T23:04:45.247764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 45
75.0%
2 3
 
5.0%
1 3
 
5.0%
21 1
 
1.7%
27 1
 
1.7%
36 1
 
1.7%
19 1
 
1.7%
37 1
 
1.7%
15 1
 
1.7%
17 1
 
1.7%
Other values (2) 2
 
3.3%
ValueCountFrequency (%)
0 45
75.0%
1 3
 
5.0%
2 3
 
5.0%
4 1
 
1.7%
15 1
 
1.7%
17 1
 
1.7%
19 1
 
1.7%
21 1
 
1.7%
27 1
 
1.7%
30 1
 
1.7%
ValueCountFrequency (%)
37 1
 
1.7%
36 1
 
1.7%
30 1
 
1.7%
27 1
 
1.7%
21 1
 
1.7%
19 1
 
1.7%
17 1
 
1.7%
15 1
 
1.7%
4 1
 
1.7%
2 3
5.0%

의료기관
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum0
Maximum20
Zeros37
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:45.378014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile16.05
Maximum20
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.905203
Coefficient of variation (CV)1.7518582
Kurtosis3.6939279
Mean2.8
Median Absolute Deviation (MAD)0
Skewness2.0456993
Sum168
Variance24.061017
MonotonicityNot monotonic
2023-12-12T23:04:45.498596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 37
61.7%
6 4
 
6.7%
5 4
 
6.7%
2 3
 
5.0%
17 2
 
3.3%
1 2
 
3.3%
4 2
 
3.3%
8 1
 
1.7%
10 1
 
1.7%
16 1
 
1.7%
Other values (3) 3
 
5.0%
ValueCountFrequency (%)
0 37
61.7%
1 2
 
3.3%
2 3
 
5.0%
4 2
 
3.3%
5 4
 
6.7%
6 4
 
6.7%
8 1
 
1.7%
9 1
 
1.7%
10 1
 
1.7%
11 1
 
1.7%
ValueCountFrequency (%)
20 1
 
1.7%
17 2
3.3%
16 1
 
1.7%
11 1
 
1.7%
10 1
 
1.7%
9 1
 
1.7%
8 1
 
1.7%
6 4
6.7%
5 4
6.7%
4 2
3.3%

종교기관
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2
Minimum0
Maximum14
Zeros37
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:45.599502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3491794
Coefficient of variation (CV)1.9576495
Kurtosis14.621297
Mean1.2
Median Absolute Deviation (MAD)0
Skewness3.3461889
Sum72
Variance5.5186441
MonotonicityNot monotonic
2023-12-12T23:04:45.718725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 37
61.7%
2 9
 
15.0%
1 6
 
10.0%
6 3
 
5.0%
4 2
 
3.3%
3 1
 
1.7%
5 1
 
1.7%
14 1
 
1.7%
ValueCountFrequency (%)
0 37
61.7%
1 6
 
10.0%
2 9
 
15.0%
3 1
 
1.7%
4 2
 
3.3%
5 1
 
1.7%
6 3
 
5.0%
14 1
 
1.7%
ValueCountFrequency (%)
14 1
 
1.7%
6 3
 
5.0%
5 1
 
1.7%
4 2
 
3.3%
3 1
 
1.7%
2 9
 
15.0%
1 6
 
10.0%
0 37
61.7%

산야
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.76666667
Minimum0
Maximum11
Zeros46
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:45.837859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.05
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8718854
Coefficient of variation (CV)2.4415896
Kurtosis15.527137
Mean0.76666667
Median Absolute Deviation (MAD)0
Skewness3.5753565
Sum46
Variance3.5039548
MonotonicityNot monotonic
2023-12-12T23:04:45.980772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 46
76.7%
2 6
 
10.0%
3 2
 
3.3%
1 2
 
3.3%
6 1
 
1.7%
11 1
 
1.7%
4 1
 
1.7%
5 1
 
1.7%
ValueCountFrequency (%)
0 46
76.7%
1 2
 
3.3%
2 6
 
10.0%
3 2
 
3.3%
4 1
 
1.7%
5 1
 
1.7%
6 1
 
1.7%
11 1
 
1.7%
ValueCountFrequency (%)
11 1
 
1.7%
6 1
 
1.7%
5 1
 
1.7%
4 1
 
1.7%
3 2
 
3.3%
2 6
 
10.0%
1 2
 
3.3%
0 46
76.7%

해상
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
59 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 59
98.3%
1 1
 
1.7%

Length

2023-12-12T23:04:46.091882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:46.196037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
98.3%
1 1
 
1.7%

부대
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
55 
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 55
91.7%
1 5
 
8.3%

Length

2023-12-12T23:04:46.312474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:46.428009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 55
91.7%
1 5
 
8.3%

구금장소
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
59 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
98.3%
1 1
 
1.7%

Length

2023-12-12T23:04:46.550967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:46.655321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
98.3%
1 1
 
1.7%

공지
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
0
59 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 59
98.3%
1 1
 
1.7%

Length

2023-12-12T23:04:47.077136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:04:47.188327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
98.3%
1 1
 
1.7%

기타
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.33333
Minimum0
Maximum1546
Zeros3
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T23:04:47.310593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q12
median23
Q3345
95-th percentile1161.7
Maximum1546
Range1546
Interquartile range (IQR)343

Descriptive statistics

Standard deviation374.46869
Coefficient of variation (CV)1.6692512
Kurtosis3.177621
Mean224.33333
Median Absolute Deviation (MAD)22.5
Skewness1.94756
Sum13460
Variance140226.8
MonotonicityNot monotonic
2023-12-12T23:04:47.471796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 7
 
11.7%
2 6
 
10.0%
3 3
 
5.0%
0 3
 
5.0%
5 2
 
3.3%
23 2
 
3.3%
109 2
 
3.3%
21 2
 
3.3%
22 2
 
3.3%
61 1
 
1.7%
Other values (30) 30
50.0%
ValueCountFrequency (%)
0 3
5.0%
1 7
11.7%
2 6
10.0%
3 3
5.0%
4 1
 
1.7%
5 2
 
3.3%
6 1
 
1.7%
9 1
 
1.7%
15 1
 
1.7%
21 2
 
3.3%
ValueCountFrequency (%)
1546 1
1.7%
1279 1
1.7%
1251 1
1.7%
1157 1
1.7%
858 1
1.7%
742 1
1.7%
706 1
1.7%
648 1
1.7%
640 1
1.7%
618 1
1.7%

Sample

경찰서범죄분류아파트연립단독주택고속도로노상상점시장 노점숙박업소 목욕탕유흥접객업소사무실공장공사장 광산창고역대합실지하철기타교통수단흥행장유원지학교금융기관의료기관종교기관산야해상부대구금장소공지기타
0중부서강력범죄 살인000100000000000000000000001
1중부서강력범죄 강도020110010000000000000000003
2중부서강력범죄 강간추행5120245098200020100010000010058
3중부서절도범죄1124013160293013481831329152218221000329
4중부서폭력범죄50581559172123232283200120116010330100640
5중부서성풍속범죄020110010120000000000000000022
6미추홀서강력범죄 살인030000000000000000000000002
7미추홀서강력범죄 강도210920310000000000000000005
8미추홀서강력범죄 강간추행3817048902124700032617202100000109
9미추홀서절도범죄41560300135537723348610162910276410000858
경찰서범죄분류아파트연립단독주택고속도로노상상점시장 노점숙박업소 목욕탕유흥접객업소사무실공장공사장 광산창고역대합실지하철기타교통수단흥행장유원지학교금융기관의료기관종교기관산야해상부대구금장소공지기타
50삼산서강력범죄 강간추행165043401526101010201200000000120
51삼산서절도범죄5123028012861810617221225283305200000648
52삼산서폭력범죄11959110111941697300202011126024000001157
53삼산서성풍속범죄20019101140000000500000000023
54논현서강력범죄 살인000000000000000000000000000
55논현서강력범죄 강도000000000000000000000000001
56논현서강력범죄 강간추행110410232000000000000000005
57논현서절도범죄3103917006151120000140120000109
58논현서폭력범죄31429750010662020001000100000114
59논현서성풍속범죄000500001000000000000000006