Overview

Dataset statistics

Number of variables28
Number of observations105
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.8 KiB
Average record size in memory251.3 B

Variable types

Numeric26
Categorical2

Dataset

Description경상북도경찰청에 5대 범죄 관서별 발생 검거 현황의 데이터로 살인,강도,강간,절도,폭력에 관한 5대 범죄 발생 검거 현황을 나타내고 있습니다.
URLhttps://www.data.go.kr/data/15022209/fileData.do

Alerts

경북청 has 53 (50.5%) zerosZeros
포항북부 has 3 (2.9%) zerosZeros
경산 has 8 (7.6%) zerosZeros
안동 has 6 (5.7%) zerosZeros
김천 has 6 (5.7%) zerosZeros
영주 has 5 (4.8%) zerosZeros
영천 has 6 (5.7%) zerosZeros
상주 has 19 (18.1%) zerosZeros
문경 has 29 (27.6%) zerosZeros
의성 has 35 (33.3%) zerosZeros
청도 has 24 (22.9%) zerosZeros
영덕 has 20 (19.0%) zerosZeros
울진 has 21 (20.0%) zerosZeros
봉화 has 38 (36.2%) zerosZeros
예천 has 26 (24.8%) zerosZeros
성주 has 28 (26.7%) zerosZeros
청송 has 33 (31.4%) zerosZeros
영양 has 37 (35.2%) zerosZeros
군위 has 41 (39.0%) zerosZeros
고령 has 29 (27.6%) zerosZeros
울릉 has 41 (39.0%) zerosZeros

Reproduction

Analysis started2023-12-12 16:46:53.037936
Analysis finished2023-12-12 16:46:53.283620
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct7
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019
Minimum2016
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:53.334669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2019
Q32021
95-th percentile2022
Maximum2022
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0095924
Coefficient of variation (CV)0.00099534046
Kurtosis-1.2522368
Mean2019
Median Absolute Deviation (MAD)2
Skewness0
Sum211995
Variance4.0384615
MonotonicityDecreasing
2023-12-13T01:46:53.498826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2022 15
14.3%
2021 15
14.3%
2020 15
14.3%
2019 15
14.3%
2018 15
14.3%
2017 15
14.3%
2016 15
14.3%
ValueCountFrequency (%)
2016 15
14.3%
2017 15
14.3%
2018 15
14.3%
2019 15
14.3%
2020 15
14.3%
2021 15
14.3%
2022 15
14.3%
ValueCountFrequency (%)
2022 15
14.3%
2021 15
14.3%
2020 15
14.3%
2019 15
14.3%
2018 15
14.3%
2017 15
14.3%
2016 15
14.3%

범죄유형
Categorical

Distinct5
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size972.0 B
살인
21 
강도
21 
성범죄
21 
절도
21 
폭력
21 

Length

Max length3
Median length2
Mean length2.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row살인
2nd row살인
3rd row살인
4th row강도
5th row강도

Common Values

ValueCountFrequency (%)
살인 21
20.0%
강도 21
20.0%
성범죄 21
20.0%
절도 21
20.0%
폭력 21
20.0%

Length

2023-12-13T01:46:53.664962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:53.798083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
살인 21
20.0%
강도 21
20.0%
성범죄 21
20.0%
절도 21
20.0%
폭력 21
20.0%

구분
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size972.0 B
발생건수
35 
검거건수
35 
검거인원
35 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발생건수
2nd row검거건수
3rd row검거인원
4th row발생건수
5th row검거건수

Common Values

ValueCountFrequency (%)
발생건수 35
33.3%
검거건수 35
33.3%
검거인원 35
33.3%

Length

2023-12-13T01:46:53.942132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:46:54.048634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발생건수 35
33.3%
검거건수 35
33.3%
검거인원 35
33.3%

경북청
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.657143
Minimum0
Maximum222
Zeros53
Zeros (%)50.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:54.173215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q338
95-th percentile180.6
Maximum222
Range222
Interquartile range (IQR)38

Descriptive statistics

Standard deviation65.523752
Coefficient of variation (CV)1.7874757
Kurtosis0.80263382
Mean36.657143
Median Absolute Deviation (MAD)0
Skewness1.5403842
Sum3849
Variance4293.3621
MonotonicityNot monotonic
2023-12-13T01:46:54.334979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 53
50.5%
2 9
 
8.6%
1 7
 
6.7%
3 3
 
2.9%
144 2
 
1.9%
4 2
 
1.9%
128 2
 
1.9%
198 1
 
1.0%
24 1
 
1.0%
176 1
 
1.0%
Other values (24) 24
22.9%
ValueCountFrequency (%)
0 53
50.5%
1 7
 
6.7%
2 9
 
8.6%
3 3
 
2.9%
4 2
 
1.9%
5 1
 
1.0%
6 1
 
1.0%
24 1
 
1.0%
34 1
 
1.0%
38 1
 
1.0%
ValueCountFrequency (%)
222 1
1.0%
207 1
1.0%
198 1
1.0%
194 1
1.0%
193 1
1.0%
181 1
1.0%
179 1
1.0%
178 1
1.0%
176 1
1.0%
172 1
1.0%

경주
Real number (ℝ)

Distinct69
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean383.77143
Minimum1
Maximum1553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:54.518249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median81
Q3862
95-th percentile1285.2
Maximum1553
Range1552
Interquartile range (IQR)857

Descriptive statistics

Standard deviation483.23888
Coefficient of variation (CV)1.2591841
Kurtosis-0.78195027
Mean383.77143
Median Absolute Deviation (MAD)79
Skewness0.88789454
Sum40296
Variance233519.81
MonotonicityNot monotonic
2023-12-13T01:46:54.712987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9
 
8.6%
3 6
 
5.7%
2 6
 
5.7%
5 5
 
4.8%
6 4
 
3.8%
70 3
 
2.9%
7 3
 
2.9%
81 3
 
2.9%
11 2
 
1.9%
4 2
 
1.9%
Other values (59) 62
59.0%
ValueCountFrequency (%)
1 9
8.6%
2 6
5.7%
3 6
5.7%
4 2
 
1.9%
5 5
4.8%
6 4
3.8%
7 3
 
2.9%
9 1
 
1.0%
10 2
 
1.9%
11 2
 
1.9%
ValueCountFrequency (%)
1553 1
1.0%
1519 1
1.0%
1362 1
1.0%
1327 1
1.0%
1302 1
1.0%
1293 1
1.0%
1254 1
1.0%
1208 1
1.0%
1178 1
1.0%
1141 1
1.0%

포항북부
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410.62857
Minimum0
Maximum1856
Zeros3
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:54.887781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median88
Q3800
95-th percentile1476
Maximum1856
Range1856
Interquartile range (IQR)796

Descriptive statistics

Standard deviation544.63833
Coefficient of variation (CV)1.3263527
Kurtosis-0.14806384
Mean410.62857
Median Absolute Deviation (MAD)86
Skewness1.1141857
Sum43116
Variance296630.91
MonotonicityNot monotonic
2023-12-13T01:46:55.057277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 9
 
8.6%
4 9
 
8.6%
1 5
 
4.8%
5 4
 
3.8%
8 4
 
3.8%
3 3
 
2.9%
0 3
 
2.9%
6 3
 
2.9%
7 2
 
1.9%
774 1
 
1.0%
Other values (62) 62
59.0%
ValueCountFrequency (%)
0 3
 
2.9%
1 5
4.8%
2 9
8.6%
3 3
 
2.9%
4 9
8.6%
5 4
3.8%
6 3
 
2.9%
7 2
 
1.9%
8 4
3.8%
63 1
 
1.0%
ValueCountFrequency (%)
1856 1
1.0%
1768 1
1.0%
1676 1
1.0%
1660 1
1.0%
1551 1
1.0%
1483 1
1.0%
1448 1
1.0%
1445 1
1.0%
1385 1
1.0%
1368 1
1.0%

포항남부
Real number (ℝ)

Distinct69
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean375.92381
Minimum1
Maximum1566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:55.240361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median80
Q3794
95-th percentile1326.6
Maximum1566
Range1565
Interquartile range (IQR)790

Descriptive statistics

Standard deviation486.40816
Coefficient of variation (CV)1.2939009
Kurtosis-0.59289482
Mean375.92381
Median Absolute Deviation (MAD)78
Skewness0.97832266
Sum39472
Variance236592.9
MonotonicityNot monotonic
2023-12-13T01:46:55.437360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 8
 
7.6%
3 8
 
7.6%
1 8
 
7.6%
6 6
 
5.7%
4 3
 
2.9%
8 3
 
2.9%
7 3
 
2.9%
5 2
 
1.9%
794 2
 
1.9%
81 2
 
1.9%
Other values (59) 60
57.1%
ValueCountFrequency (%)
1 8
7.6%
2 8
7.6%
3 8
7.6%
4 3
 
2.9%
5 2
 
1.9%
6 6
5.7%
7 3
 
2.9%
8 3
 
2.9%
18 1
 
1.0%
59 1
 
1.0%
ValueCountFrequency (%)
1566 1
1.0%
1454 1
1.0%
1432 1
1.0%
1423 1
1.0%
1341 1
1.0%
1339 1
1.0%
1277 1
1.0%
1225 1
1.0%
1208 1
1.0%
1195 1
1.0%

구미
Real number (ℝ)

Distinct70
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean619.85714
Minimum1
Maximum2406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:55.593765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median130
Q31361
95-th percentile2036.4
Maximum2406
Range2405
Interquartile range (IQR)1355

Descriptive statistics

Standard deviation769.58601
Coefficient of variation (CV)1.2415538
Kurtosis-0.90660638
Mean619.85714
Median Absolute Deviation (MAD)126
Skewness0.83701613
Sum65085
Variance592262.62
MonotonicityNot monotonic
2023-12-13T01:46:55.779967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 8
 
7.6%
5 8
 
7.6%
3 5
 
4.8%
4 4
 
3.8%
9 4
 
3.8%
8 4
 
3.8%
100 2
 
1.9%
141 2
 
1.9%
111 2
 
1.9%
155 2
 
1.9%
Other values (60) 64
61.0%
ValueCountFrequency (%)
1 2
 
1.9%
3 5
4.8%
4 4
3.8%
5 8
7.6%
6 8
7.6%
7 2
 
1.9%
8 4
3.8%
9 4
3.8%
10 2
 
1.9%
13 1
 
1.0%
ValueCountFrequency (%)
2406 1
1.0%
2216 1
1.0%
2170 1
1.0%
2169 1
1.0%
2081 1
1.0%
2047 1
1.0%
1994 1
1.0%
1934 1
1.0%
1931 1
1.0%
1925 1
1.0%

경산
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453.04762
Minimum0
Maximum1929
Zeros8
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:55.936218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median96
Q3966
95-th percentile1636.4
Maximum1929
Range1929
Interquartile range (IQR)963

Descriptive statistics

Standard deviation590.89847
Coefficient of variation (CV)1.3042745
Kurtosis-0.37412549
Mean453.04762
Median Absolute Deviation (MAD)95
Skewness1.0381412
Sum47570
Variance349161.01
MonotonicityNot monotonic
2023-12-13T01:46:56.143672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
13.3%
0 8
 
7.6%
1 7
 
6.7%
2 5
 
4.8%
6 3
 
2.9%
4 3
 
2.9%
108 2
 
1.9%
1317 2
 
1.9%
97 2
 
1.9%
79 2
 
1.9%
Other values (56) 57
54.3%
ValueCountFrequency (%)
0 8
7.6%
1 7
6.7%
2 5
 
4.8%
3 14
13.3%
4 3
 
2.9%
5 1
 
1.0%
6 3
 
2.9%
8 1
 
1.0%
67 1
 
1.0%
79 2
 
1.9%
ValueCountFrequency (%)
1929 1
1.0%
1858 1
1.0%
1782 1
1.0%
1759 1
1.0%
1660 1
1.0%
1648 1
1.0%
1590 1
1.0%
1580 1
1.0%
1518 1
1.0%
1453 1
1.0%

안동
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262.1619
Minimum0
Maximum1363
Zeros6
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:56.329808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q12
median52
Q3415
95-th percentile1065.6
Maximum1363
Range1363
Interquartile range (IQR)413

Descriptive statistics

Standard deviation371.37844
Coefficient of variation (CV)1.4165996
Kurtosis0.79701416
Mean262.1619
Median Absolute Deviation (MAD)51
Skewness1.3979712
Sum27527
Variance137921.94
MonotonicityNot monotonic
2023-12-13T01:46:56.530953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 19
 
18.1%
2 12
 
11.4%
0 6
 
5.7%
4 3
 
2.9%
48 3
 
2.9%
47 3
 
2.9%
53 2
 
1.9%
52 2
 
1.9%
49 2
 
1.9%
60 2
 
1.9%
Other values (50) 51
48.6%
ValueCountFrequency (%)
0 6
 
5.7%
1 19
18.1%
2 12
11.4%
3 1
 
1.0%
4 3
 
2.9%
5 1
 
1.0%
44 1
 
1.0%
47 3
 
2.9%
48 3
 
2.9%
49 2
 
1.9%
ValueCountFrequency (%)
1363 1
1.0%
1360 1
1.0%
1237 1
1.0%
1078 1
1.0%
1070 1
1.0%
1068 1
1.0%
1056 1
1.0%
958 1
1.0%
948 1
1.0%
944 1
1.0%

김천
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.74286
Minimum0
Maximum1169
Zeros6
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:56.715531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q12
median39
Q3366
95-th percentile822
Maximum1169
Range1169
Interquartile range (IQR)364

Descriptive statistics

Standard deviation296.06175
Coefficient of variation (CV)1.3786803
Kurtosis0.67009636
Mean214.74286
Median Absolute Deviation (MAD)38
Skewness1.3205101
Sum22548
Variance87652.558
MonotonicityNot monotonic
2023-12-13T01:46:56.891291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 11
 
10.5%
1 11
 
10.5%
4 7
 
6.7%
3 7
 
6.7%
0 6
 
5.7%
366 2
 
1.9%
42 2
 
1.9%
32 2
 
1.9%
207 2
 
1.9%
34 2
 
1.9%
Other values (53) 53
50.5%
ValueCountFrequency (%)
0 6
5.7%
1 11
10.5%
2 11
10.5%
3 7
6.7%
4 7
6.7%
25 1
 
1.0%
28 1
 
1.0%
30 1
 
1.0%
31 1
 
1.0%
32 2
 
1.9%
ValueCountFrequency (%)
1169 1
1.0%
993 1
1.0%
984 1
1.0%
876 1
1.0%
827 1
1.0%
825 1
1.0%
810 1
1.0%
774 1
1.0%
766 1
1.0%
746 1
1.0%

영주
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.68571
Minimum0
Maximum626
Zeros5
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:57.056163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median29
Q3194
95-th percentile482.6
Maximum626
Range626
Interquartile range (IQR)193

Descriptive statistics

Standard deviation178.36594
Coefficient of variation (CV)1.3860586
Kurtosis0.31275235
Mean128.68571
Median Absolute Deviation (MAD)28
Skewness1.2815099
Sum13512
Variance31814.41
MonotonicityNot monotonic
2023-12-13T01:46:57.487920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 24
22.9%
2 13
 
12.4%
0 5
 
4.8%
33 3
 
2.9%
17 2
 
1.9%
399 2
 
1.9%
34 2
 
1.9%
105 2
 
1.9%
30 2
 
1.9%
352 1
 
1.0%
Other values (49) 49
46.7%
ValueCountFrequency (%)
0 5
 
4.8%
1 24
22.9%
2 13
12.4%
12 1
 
1.0%
13 1
 
1.0%
14 1
 
1.0%
17 2
 
1.9%
19 1
 
1.0%
20 1
 
1.0%
22 1
 
1.0%
ValueCountFrequency (%)
626 1
1.0%
625 1
1.0%
555 1
1.0%
522 1
1.0%
496 1
1.0%
483 1
1.0%
481 1
1.0%
471 1
1.0%
458 1
1.0%
444 1
1.0%

영천
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.66667
Minimum0
Maximum635
Zeros6
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:57.605445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q12
median25
Q3330
95-th percentile565.8
Maximum635
Range635
Interquartile range (IQR)328

Descriptive statistics

Standard deviation206.90172
Coefficient of variation (CV)1.3040024
Kurtosis-0.55556975
Mean158.66667
Median Absolute Deviation (MAD)24
Skewness0.98690648
Sum16660
Variance42808.321
MonotonicityNot monotonic
2023-12-13T01:46:57.729464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 18
 
17.1%
2 9
 
8.6%
3 7
 
6.7%
0 6
 
5.7%
30 3
 
2.9%
24 3
 
2.9%
15 2
 
1.9%
615 2
 
1.9%
27 2
 
1.9%
4 2
 
1.9%
Other values (50) 51
48.6%
ValueCountFrequency (%)
0 6
 
5.7%
1 18
17.1%
2 9
8.6%
3 7
 
6.7%
4 2
 
1.9%
15 2
 
1.9%
17 1
 
1.0%
19 1
 
1.0%
21 1
 
1.0%
22 1
 
1.0%
ValueCountFrequency (%)
635 1
1.0%
615 2
1.9%
608 1
1.0%
602 1
1.0%
572 1
1.0%
541 1
1.0%
533 1
1.0%
524 1
1.0%
517 1
1.0%
503 1
1.0%

상주
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.71429
Minimum0
Maximum516
Zeros19
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:57.879006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median25
Q3261
95-th percentile424.2
Maximum516
Range516
Interquartile range (IQR)260

Descriptive statistics

Standard deviation157.73832
Coefficient of variation (CV)1.2854113
Kurtosis-0.51338155
Mean122.71429
Median Absolute Deviation (MAD)25
Skewness0.98452474
Sum12885
Variance24881.379
MonotonicityNot monotonic
2023-12-13T01:46:58.030476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
18.1%
1 14
 
13.3%
2 5
 
4.8%
3 4
 
3.8%
25 3
 
2.9%
24 2
 
1.9%
17 2
 
1.9%
20 2
 
1.9%
27 2
 
1.9%
457 1
 
1.0%
Other values (51) 51
48.6%
ValueCountFrequency (%)
0 19
18.1%
1 14
13.3%
2 5
 
4.8%
3 4
 
3.8%
17 2
 
1.9%
19 1
 
1.0%
20 2
 
1.9%
21 1
 
1.0%
23 1
 
1.0%
24 2
 
1.9%
ValueCountFrequency (%)
516 1
1.0%
484 1
1.0%
479 1
1.0%
458 1
1.0%
457 1
1.0%
428 1
1.0%
409 1
1.0%
402 1
1.0%
391 1
1.0%
379 1
1.0%

문경
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.72381
Minimum0
Maximum469
Zeros29
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:58.168844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21
Q3166
95-th percentile364.8
Maximum469
Range469
Interquartile range (IQR)166

Descriptive statistics

Standard deviation132.81765
Coefficient of variation (CV)1.3875091
Kurtosis0.53377758
Mean95.72381
Median Absolute Deviation (MAD)21
Skewness1.3179551
Sum10051
Variance17640.529
MonotonicityNot monotonic
2023-12-13T01:46:58.289839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
27.6%
1 10
 
9.5%
2 3
 
2.9%
23 3
 
2.9%
18 3
 
2.9%
92 2
 
1.9%
21 2
 
1.9%
306 2
 
1.9%
24 2
 
1.9%
280 2
 
1.9%
Other values (47) 47
44.8%
ValueCountFrequency (%)
0 29
27.6%
1 10
 
9.5%
2 3
 
2.9%
9 1
 
1.0%
10 1
 
1.0%
11 1
 
1.0%
12 1
 
1.0%
15 1
 
1.0%
16 1
 
1.0%
18 3
 
2.9%
ValueCountFrequency (%)
469 1
1.0%
455 1
1.0%
450 1
1.0%
433 1
1.0%
367 1
1.0%
366 1
1.0%
360 1
1.0%
357 1
1.0%
335 1
1.0%
334 1
1.0%

칠곡
Real number (ℝ)

Distinct61
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.65714
Minimum1
Maximum729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:58.421212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median35
Q3276
95-th percentile592
Maximum729
Range728
Interquartile range (IQR)273

Descriptive statistics

Standard deviation208.3292
Coefficient of variation (CV)1.2967316
Kurtosis-0.10246825
Mean160.65714
Median Absolute Deviation (MAD)33
Skewness1.1079899
Sum16869
Variance43401.054
MonotonicityNot monotonic
2023-12-13T01:46:58.569355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 13
 
12.4%
3 12
 
11.4%
4 7
 
6.7%
1 7
 
6.7%
35 3
 
2.9%
34 3
 
2.9%
36 3
 
2.9%
39 2
 
1.9%
609 2
 
1.9%
276 2
 
1.9%
Other values (51) 51
48.6%
ValueCountFrequency (%)
1 7
6.7%
2 13
12.4%
3 12
11.4%
4 7
6.7%
5 1
 
1.0%
8 1
 
1.0%
11 1
 
1.0%
22 1
 
1.0%
27 1
 
1.0%
29 1
 
1.0%
ValueCountFrequency (%)
729 1
1.0%
700 1
1.0%
609 2
1.9%
599 1
1.0%
597 1
1.0%
572 1
1.0%
534 1
1.0%
528 1
1.0%
523 1
1.0%
516 1
1.0%

의성
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.714286
Minimum0
Maximum267
Zeros35
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:58.704334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11
Q3101
95-th percentile210.8
Maximum267
Range267
Interquartile range (IQR)101

Descriptive statistics

Standard deviation77.031551
Coefficient of variation (CV)1.3826176
Kurtosis0.095050526
Mean55.714286
Median Absolute Deviation (MAD)11
Skewness1.2116634
Sum5850
Variance5933.8599
MonotonicityNot monotonic
2023-12-13T01:46:58.846268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
33.3%
1 7
 
6.7%
50 3
 
2.9%
11 3
 
2.9%
9 3
 
2.9%
46 2
 
1.9%
15 2
 
1.9%
10 2
 
1.9%
3 2
 
1.9%
2 2
 
1.9%
Other values (42) 44
41.9%
ValueCountFrequency (%)
0 35
33.3%
1 7
 
6.7%
2 2
 
1.9%
3 2
 
1.9%
8 1
 
1.0%
9 3
 
2.9%
10 2
 
1.9%
11 3
 
2.9%
12 1
 
1.0%
13 1
 
1.0%
ValueCountFrequency (%)
267 1
1.0%
266 1
1.0%
229 1
1.0%
224 1
1.0%
221 1
1.0%
211 1
1.0%
210 1
1.0%
196 1
1.0%
193 1
1.0%
188 1
1.0%

청도
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.019048
Minimum0
Maximum291
Zeros24
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:58.975728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q386
95-th percentile220.2
Maximum291
Range291
Interquartile range (IQR)85

Descriptive statistics

Standard deviation78.973216
Coefficient of variation (CV)1.4353796
Kurtosis0.43539767
Mean55.019048
Median Absolute Deviation (MAD)6
Skewness1.3136557
Sum5777
Variance6236.7689
MonotonicityNot monotonic
2023-12-13T01:46:59.117128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
22.9%
1 11
 
10.5%
2 8
 
7.6%
3 4
 
3.8%
6 4
 
3.8%
7 3
 
2.9%
4 2
 
1.9%
9 2
 
1.9%
10 2
 
1.9%
5 2
 
1.9%
Other values (43) 43
41.0%
ValueCountFrequency (%)
0 24
22.9%
1 11
10.5%
2 8
 
7.6%
3 4
 
3.8%
4 2
 
1.9%
5 2
 
1.9%
6 4
 
3.8%
7 3
 
2.9%
9 2
 
1.9%
10 2
 
1.9%
ValueCountFrequency (%)
291 1
1.0%
262 1
1.0%
245 1
1.0%
233 1
1.0%
223 1
1.0%
222 1
1.0%
213 1
1.0%
210 1
1.0%
201 1
1.0%
199 1
1.0%

영덕
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.457143
Minimum0
Maximum271
Zeros20
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:59.270843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q3123
95-th percentile209.2
Maximum271
Range271
Interquartile range (IQR)122

Descriptive statistics

Standard deviation78.581906
Coefficient of variation (CV)1.3216563
Kurtosis-0.37887011
Mean59.457143
Median Absolute Deviation (MAD)10
Skewness1.0431441
Sum6243
Variance6175.1159
MonotonicityNot monotonic
2023-12-13T01:46:59.422546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
19.0%
1 12
 
11.4%
4 6
 
5.7%
3 5
 
4.8%
10 5
 
4.8%
7 3
 
2.9%
9 2
 
1.9%
157 2
 
1.9%
155 2
 
1.9%
2 2
 
1.9%
Other values (45) 46
43.8%
ValueCountFrequency (%)
0 20
19.0%
1 12
11.4%
2 2
 
1.9%
3 5
 
4.8%
4 6
 
5.7%
5 1
 
1.0%
6 1
 
1.0%
7 3
 
2.9%
9 2
 
1.9%
10 5
 
4.8%
ValueCountFrequency (%)
271 1
1.0%
248 1
1.0%
228 1
1.0%
227 1
1.0%
226 1
1.0%
211 1
1.0%
202 1
1.0%
197 1
1.0%
187 1
1.0%
184 1
1.0%

울진
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.380952
Minimum0
Maximum294
Zeros21
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:59.577929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q398
95-th percentile220
Maximum294
Range294
Interquartile range (IQR)97

Descriptive statistics

Standard deviation79.951473
Coefficient of variation (CV)1.3694787
Kurtosis0.14647907
Mean58.380952
Median Absolute Deviation (MAD)10
Skewness1.2167458
Sum6130
Variance6392.2381
MonotonicityNot monotonic
2023-12-13T01:46:59.768825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 21
20.0%
1 18
17.1%
9 5
 
4.8%
2 5
 
4.8%
163 2
 
1.9%
185 2
 
1.9%
11 2
 
1.9%
86 2
 
1.9%
174 2
 
1.9%
63 2
 
1.9%
Other values (39) 44
41.9%
ValueCountFrequency (%)
0 21
20.0%
1 18
17.1%
2 5
 
4.8%
6 1
 
1.0%
7 2
 
1.9%
9 5
 
4.8%
10 1
 
1.0%
11 2
 
1.9%
12 1
 
1.0%
13 1
 
1.0%
ValueCountFrequency (%)
294 1
1.0%
254 1
1.0%
242 1
1.0%
230 1
1.0%
228 1
1.0%
220 2
1.9%
206 1
1.0%
203 1
1.0%
202 2
1.9%
187 1
1.0%

봉화
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.733333
Minimum0
Maximum156
Zeros38
Zeros (%)36.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:46:59.926138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q336
95-th percentile117
Maximum156
Range156
Interquartile range (IQR)36

Descriptive statistics

Standard deviation41.525772
Coefficient of variation (CV)1.4452125
Kurtosis0.91834266
Mean28.733333
Median Absolute Deviation (MAD)6
Skewness1.4655293
Sum3017
Variance1724.3897
MonotonicityNot monotonic
2023-12-13T01:47:00.095772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 38
36.2%
1 7
 
6.7%
7 5
 
4.8%
29 4
 
3.8%
5 4
 
3.8%
28 3
 
2.9%
117 3
 
2.9%
6 3
 
2.9%
98 2
 
1.9%
39 2
 
1.9%
Other values (29) 34
32.4%
ValueCountFrequency (%)
0 38
36.2%
1 7
 
6.7%
4 2
 
1.9%
5 4
 
3.8%
6 3
 
2.9%
7 5
 
4.8%
8 1
 
1.0%
11 2
 
1.9%
21 1
 
1.0%
22 1
 
1.0%
ValueCountFrequency (%)
156 1
 
1.0%
142 1
 
1.0%
130 1
 
1.0%
127 1
 
1.0%
121 1
 
1.0%
117 3
2.9%
114 1
 
1.0%
108 1
 
1.0%
106 1
 
1.0%
103 1
 
1.0%

예천
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.238095
Minimum0
Maximum289
Zeros26
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:47:00.260604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q388
95-th percentile188.6
Maximum289
Range289
Interquartile range (IQR)87

Descriptive statistics

Standard deviation67.518875
Coefficient of variation (CV)1.3997003
Kurtosis1.256375
Mean48.238095
Median Absolute Deviation (MAD)9
Skewness1.4292672
Sum5065
Variance4558.7985
MonotonicityNot monotonic
2023-12-13T01:47:00.412678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
24.8%
1 18
17.1%
12 4
 
3.8%
88 3
 
2.9%
13 2
 
1.9%
131 2
 
1.9%
9 2
 
1.9%
56 2
 
1.9%
2 2
 
1.9%
6 2
 
1.9%
Other values (42) 42
40.0%
ValueCountFrequency (%)
0 26
24.8%
1 18
17.1%
2 2
 
1.9%
3 1
 
1.0%
5 1
 
1.0%
6 2
 
1.9%
7 1
 
1.0%
8 1
 
1.0%
9 2
 
1.9%
12 4
 
3.8%
ValueCountFrequency (%)
289 1
1.0%
239 1
1.0%
212 1
1.0%
206 1
1.0%
198 1
1.0%
191 1
1.0%
179 1
1.0%
175 1
1.0%
173 1
1.0%
165 1
1.0%

성주
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.780952
Minimum0
Maximum256
Zeros28
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:47:00.579185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q3113
95-th percentile224.2
Maximum256
Range256
Interquartile range (IQR)113

Descriptive statistics

Standard deviation79.893075
Coefficient of variation (CV)1.3364303
Kurtosis-0.32166023
Mean59.780952
Median Absolute Deviation (MAD)9
Skewness1.0575884
Sum6277
Variance6382.9035
MonotonicityNot monotonic
2023-12-13T01:47:00.754417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
26.7%
1 13
 
12.4%
2 4
 
3.8%
9 4
 
3.8%
11 3
 
2.9%
89 3
 
2.9%
6 2
 
1.9%
8 2
 
1.9%
177 2
 
1.9%
5 2
 
1.9%
Other values (40) 42
40.0%
ValueCountFrequency (%)
0 28
26.7%
1 13
12.4%
2 4
 
3.8%
3 1
 
1.0%
5 2
 
1.9%
6 2
 
1.9%
8 2
 
1.9%
9 4
 
3.8%
10 1
 
1.0%
11 3
 
2.9%
ValueCountFrequency (%)
256 1
1.0%
250 1
1.0%
243 1
1.0%
235 1
1.0%
234 1
1.0%
229 1
1.0%
205 1
1.0%
201 1
1.0%
195 1
1.0%
193 1
1.0%

청송
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.590476
Minimum0
Maximum203
Zeros33
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:47:00.908052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q345
95-th percentile159.8
Maximum203
Range203
Interquartile range (IQR)45

Descriptive statistics

Standard deviation57.506638
Coefficient of variation (CV)1.4525372
Kurtosis0.53812085
Mean39.590476
Median Absolute Deviation (MAD)8
Skewness1.3932224
Sum4157
Variance3307.0134
MonotonicityNot monotonic
2023-12-13T01:47:01.072258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 33
31.4%
1 11
 
10.5%
9 3
 
2.9%
40 3
 
2.9%
121 3
 
2.9%
47 2
 
1.9%
12 2
 
1.9%
43 2
 
1.9%
11 2
 
1.9%
36 2
 
1.9%
Other values (36) 42
40.0%
ValueCountFrequency (%)
0 33
31.4%
1 11
 
10.5%
2 2
 
1.9%
3 2
 
1.9%
4 1
 
1.0%
7 2
 
1.9%
8 2
 
1.9%
9 3
 
2.9%
11 2
 
1.9%
12 2
 
1.9%
ValueCountFrequency (%)
203 1
1.0%
196 1
1.0%
170 1
1.0%
164 1
1.0%
162 1
1.0%
160 1
1.0%
159 2
1.9%
156 1
1.0%
153 1
1.0%
151 1
1.0%

영양
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.904762
Minimum0
Maximum110
Zeros37
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:47:01.246765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile81.6
Maximum110
Range110
Interquartile range (IQR)21

Descriptive statistics

Standard deviation29.24483
Coefficient of variation (CV)1.5469557
Kurtosis1.0517158
Mean18.904762
Median Absolute Deviation (MAD)3
Skewness1.5395207
Sum1985
Variance855.26007
MonotonicityNot monotonic
2023-12-13T01:47:01.401461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 37
35.2%
1 8
 
7.6%
2 6
 
5.7%
3 4
 
3.8%
14 3
 
2.9%
8 3
 
2.9%
69 2
 
1.9%
9 2
 
1.9%
4 2
 
1.9%
5 2
 
1.9%
Other values (33) 36
34.3%
ValueCountFrequency (%)
0 37
35.2%
1 8
 
7.6%
2 6
 
5.7%
3 4
 
3.8%
4 2
 
1.9%
5 2
 
1.9%
6 1
 
1.0%
7 1
 
1.0%
8 3
 
2.9%
9 2
 
1.9%
ValueCountFrequency (%)
110 1
1.0%
100 1
1.0%
92 2
1.9%
89 1
1.0%
82 1
1.0%
80 1
1.0%
76 1
1.0%
74 1
1.0%
72 1
1.0%
70 1
1.0%

군위
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.12381
Minimum0
Maximum105
Zeros41
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:47:01.870329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q348
95-th percentile78.6
Maximum105
Range105
Interquartile range (IQR)48

Descriptive statistics

Standard deviation30.176945
Coefficient of variation (CV)1.3050161
Kurtosis-0.35307593
Mean23.12381
Median Absolute Deviation (MAD)4
Skewness1.003885
Sum2428
Variance910.64799
MonotonicityNot monotonic
2023-12-13T01:47:02.019813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 41
39.0%
1 6
 
5.7%
2 4
 
3.8%
4 4
 
3.8%
77 3
 
2.9%
51 2
 
1.9%
7 2
 
1.9%
35 2
 
1.9%
79 2
 
1.9%
6 2
 
1.9%
Other values (32) 37
35.2%
ValueCountFrequency (%)
0 41
39.0%
1 6
 
5.7%
2 4
 
3.8%
3 1
 
1.0%
4 4
 
3.8%
5 1
 
1.0%
6 2
 
1.9%
7 2
 
1.9%
8 1
 
1.0%
12 1
 
1.0%
ValueCountFrequency (%)
105 1
 
1.0%
104 1
 
1.0%
82 2
1.9%
79 2
1.9%
77 3
2.9%
74 2
1.9%
73 1
 
1.0%
72 1
 
1.0%
68 1
 
1.0%
67 2
1.9%

고령
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.666667
Minimum0
Maximum157
Zeros29
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:47:02.153544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q365
95-th percentile124.6
Maximum157
Range157
Interquartile range (IQR)65

Descriptive statistics

Standard deviation45.55252
Coefficient of variation (CV)1.3530451
Kurtosis-0.14454639
Mean33.666667
Median Absolute Deviation (MAD)3
Skewness1.113215
Sum3535
Variance2075.0321
MonotonicityNot monotonic
2023-12-13T01:47:02.308091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 29
27.6%
1 12
 
11.4%
2 10
 
9.5%
5 3
 
2.9%
93 3
 
2.9%
3 2
 
1.9%
42 2
 
1.9%
123 2
 
1.9%
6 2
 
1.9%
103 2
 
1.9%
Other values (37) 38
36.2%
ValueCountFrequency (%)
0 29
27.6%
1 12
11.4%
2 10
 
9.5%
3 2
 
1.9%
4 1
 
1.0%
5 3
 
2.9%
6 2
 
1.9%
7 1
 
1.0%
9 1
 
1.0%
11 1
 
1.0%
ValueCountFrequency (%)
157 1
1.0%
143 1
1.0%
140 1
1.0%
133 1
1.0%
130 1
1.0%
125 1
1.0%
123 2
1.9%
118 1
1.0%
113 1
1.0%
106 1
1.0%

울릉
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.847619
Minimum0
Maximum61
Zeros41
Zeros (%)39.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T01:47:02.437705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q39
95-th percentile50.4
Maximum61
Range61
Interquartile range (IQR)9

Descriptive statistics

Standard deviation17.260326
Coefficient of variation (CV)1.5911627
Kurtosis1.0037065
Mean10.847619
Median Absolute Deviation (MAD)3
Skewness1.5862606
Sum1139
Variance297.91886
MonotonicityNot monotonic
2023-12-13T01:47:02.579674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 41
39.0%
1 7
 
6.7%
7 6
 
5.7%
3 6
 
5.7%
5 5
 
4.8%
2 4
 
3.8%
4 4
 
3.8%
10 3
 
2.9%
9 3
 
2.9%
44 2
 
1.9%
Other values (20) 24
22.9%
ValueCountFrequency (%)
0 41
39.0%
1 7
 
6.7%
2 4
 
3.8%
3 6
 
5.7%
4 4
 
3.8%
5 5
 
4.8%
6 1
 
1.0%
7 6
 
5.7%
8 2
 
1.9%
9 3
 
2.9%
ValueCountFrequency (%)
61 1
1.0%
58 1
1.0%
54 1
1.0%
53 1
1.0%
51 2
1.9%
48 1
1.0%
45 1
1.0%
44 2
1.9%
43 1
1.0%
41 2
1.9%

Sample

연도범죄유형구분경북청경주포항북부포항남부구미경산안동김천영주영천상주문경칠곡의성청도영덕울진봉화예천성주청송영양군위고령울릉
02022살인발생건수0152612202112031101200020
12022살인검거건수0152512202113031101200020
22022살인검거인원0152512202113033101200020
32022강도발생건수0103320011002000100010000
42022강도검거건수0103320011002100100020000
52022강도검거인원0203320011005000100020000
62022성범죄발생건수091105971249653343927211039141311155129864117
72022성범죄검거건수181709377114794725302117930013100100004
82022성범죄검거인원1937381801248147282924201135014200000004
92022절도발생건수0120811621341174810144434932442833501803859193138163361241314042349310
연도범죄유형구분경북청경주포항북부포항남부구미경산안동김천영주영천상주문경칠곡의성청도영덕울진봉화예천성주청송영양군위고령울릉
952016강도검거인원2637432123003013110010021
962016성범죄발생건수16341361210104001000000100
972016성범죄검거건수111678065100804832141523203413610641838860
982016성범죄검거인원153638144478263729429517319912918619059667063394473431235424
992016절도발생건수731052136810801755133294472143844736133053416016914415890110177121657712540
1002016절도검거건수51027432123003013110010021
1012016절도검거인원392621812101011002000000100
1022016폭력발생건수128709069100915039171524334211610741938660
1032016폭력검거건수238437131370142630222215616112813116144566547354560361432313
1042016폭력검거인원2071519176814542406178213609846266354794697292212221802061271442431518910515754