Overview

Dataset statistics

Number of variables122
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory173.7 KiB
Average record size in memory1.1 KiB

Variable types

Text1
Numeric121

Dataset

Description대검찰청에서 발간하는 연도별 범죄분석 자료로, 범죄발생원표를 활용한 범죄발생지별 범죄발생건수를 나타내는 통계입니다.
Author대검찰청
URLhttps://www.data.go.kr/data/2894825/fileData.do

Alerts

2017년 has unique valuesUnique
서울 종로 has 32 (19.8%) zerosZeros
서울 중구 has 35 (21.6%) zerosZeros
서울 용산 has 42 (25.9%) zerosZeros
서울 성동 has 41 (25.3%) zerosZeros
서울 광진 has 39 (24.1%) zerosZeros
서울 동대문 has 40 (24.7%) zerosZeros
서울 중랑 has 43 (26.5%) zerosZeros
서울 성북 has 41 (25.3%) zerosZeros
서울 강북 has 48 (29.6%) zerosZeros
서울 도봉 has 50 (30.9%) zerosZeros
서울 노원 has 48 (29.6%) zerosZeros
서울 은평 has 41 (25.3%) zerosZeros
서울 서대문 has 41 (25.3%) zerosZeros
서울 마포 has 38 (23.5%) zerosZeros
서울 양천 has 38 (23.5%) zerosZeros
서울 강서 has 32 (19.8%) zerosZeros
서울 구로 has 40 (24.7%) zerosZeros
서울 금천 has 45 (27.8%) zerosZeros
서울 영등포 has 31 (19.1%) zerosZeros
서울 동작 has 53 (32.7%) zerosZeros
서울 관악 has 35 (21.6%) zerosZeros
서울 서초 has 27 (16.7%) zerosZeros
서울 강남 has 27 (16.7%) zerosZeros
서울 송파 has 29 (17.9%) zerosZeros
서울 강동 has 37 (22.8%) zerosZeros
부산 중구 has 59 (36.4%) zerosZeros
부산 서구 has 60 (37.0%) zerosZeros
부산 동구 has 44 (27.2%) zerosZeros
부산 영도 has 65 (40.1%) zerosZeros
부산 부산진 has 31 (19.1%) zerosZeros
부산 동래 has 49 (30.2%) zerosZeros
부산 남구 has 43 (26.5%) zerosZeros
부산 북구 has 48 (29.6%) zerosZeros
부산 해운대 has 31 (19.1%) zerosZeros
부산 사하 has 39 (24.1%) zerosZeros
부산 금정 has 45 (27.8%) zerosZeros
부산 강서 has 38 (23.5%) zerosZeros
부산 연제 has 49 (30.2%) zerosZeros
부산 수영 has 56 (34.6%) zerosZeros
부산 사상 has 46 (28.4%) zerosZeros
부산 기장군 has 47 (29.0%) zerosZeros
대구 중구 has 52 (32.1%) zerosZeros
대구 동구 has 42 (25.9%) zerosZeros
대구 서구 has 55 (34.0%) zerosZeros
대구 남구 has 55 (34.0%) zerosZeros
대구 북구 has 40 (24.7%) zerosZeros
대구 수성 has 38 (23.5%) zerosZeros
대구 달서 has 37 (22.8%) zerosZeros
대구 달성군 has 48 (29.6%) zerosZeros
인천 중구 has 31 (19.1%) zerosZeros
인천 동구 has 71 (43.8%) zerosZeros
인천 서구 has 31 (19.1%) zerosZeros
인천 미추홀 has 33 (20.4%) zerosZeros
인천 연수 has 37 (22.8%) zerosZeros
인천 남동 has 29 (17.9%) zerosZeros
인천 부평 has 32 (19.8%) zerosZeros
인천 계양 has 40 (24.7%) zerosZeros
인천 강화군 has 65 (40.1%) zerosZeros
인천 옹진군 has 93 (57.4%) zerosZeros
광주 동구 has 50 (30.9%) zerosZeros
광주 서구 has 44 (27.2%) zerosZeros
광주 남구 has 53 (32.7%) zerosZeros
광주 북구 has 40 (24.7%) zerosZeros
광주 광산 has 44 (27.2%) zerosZeros
대전 중구 has 48 (29.6%) zerosZeros
대전 동구 has 49 (30.2%) zerosZeros
대전 서구 has 34 (21.0%) zerosZeros
대전 유성 has 37 (22.8%) zerosZeros
대전 대덕 has 51 (31.5%) zerosZeros
울산 중구 has 57 (35.2%) zerosZeros
울산 동구 has 64 (39.5%) zerosZeros
울산 남구 has 29 (17.9%) zerosZeros
울산 북구 has 56 (34.6%) zerosZeros
울산 울주군 has 39 (24.1%) zerosZeros
부천 has 24 (14.8%) zerosZeros
수원 has 26 (16.0%) zerosZeros
성남 has 27 (16.7%) zerosZeros
전주 has 34 (21.0%) zerosZeros
안양 has 37 (22.8%) zerosZeros
청주 has 22 (13.6%) zerosZeros
창원 has 16 (9.9%) zerosZeros
광명 has 45 (27.8%) zerosZeros
포항 has 26 (16.0%) zerosZeros
안산 has 18 (11.1%) zerosZeros
진주 has 43 (26.5%) zerosZeros
고양 has 21 (13.0%) zerosZeros
제주 has 29 (17.9%) zerosZeros
목포 has 48 (29.6%) zerosZeros
의정부 has 35 (21.6%) zerosZeros
익산 has 45 (27.8%) zerosZeros
군산 has 31 (19.1%) zerosZeros
구미 has 40 (24.7%) zerosZeros
천안 has 32 (19.8%) zerosZeros
여수 has 45 (27.8%) zerosZeros
춘천 has 40 (24.7%) zerosZeros
원주 has 34 (21.0%) zerosZeros
평택 has 25 (15.4%) zerosZeros
경주 has 43 (26.5%) zerosZeros
김해 has 33 (20.4%) zerosZeros
순천 has 46 (28.4%) zerosZeros
군포 has 50 (30.9%) zerosZeros
남양주 has 30 (18.5%) zerosZeros
강릉 has 45 (27.8%) zerosZeros
충주 has 42 (25.9%) zerosZeros
안동 has 51 (31.5%) zerosZeros
경산 has 44 (27.2%) zerosZeros
아산 has 42 (25.9%) zerosZeros
거제 has 41 (25.3%) zerosZeros
김천 has 61 (37.7%) zerosZeros
정읍 has 61 (37.7%) zerosZeros
용인 has 29 (17.9%) zerosZeros
시흥 has 27 (16.7%) zerosZeros
파주 has 34 (21.0%) zerosZeros
양산 has 45 (27.8%) zerosZeros
이천 has 54 (33.3%) zerosZeros
구리 has 46 (28.4%) zerosZeros
서산 has 43 (26.5%) zerosZeros
제천 has 58 (35.8%) zerosZeros
논산 has 57 (35.2%) zerosZeros
기타 도시 has 2 (1.2%) zerosZeros
도시이외 has 5 (3.1%) zerosZeros

Reproduction

Analysis started2024-05-04 08:24:00.697890
Analysis finished2024-05-04 08:24:03.074480
Duration2.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2017년
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-04T08:24:03.421754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length23
Mean length8.7407407
Min length2

Characters and Unicode

Total characters1416
Distinct characters227
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row절도
2nd row장물
3rd row사기
4th row횡령
5th row배임
ValueCountFrequency (%)
관한법률 14
 
5.4%
11
 
4.3%
관한 8
 
3.1%
4
 
1.6%
기타 3
 
1.2%
등에 3
 
1.2%
마약류관리에 3
 
1.2%
처벌 2
 
0.8%
규제 2
 
0.8%
규제에 2
 
0.8%
Other values (205) 206
79.8%
2024-05-04T08:24:04.646347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
8.1%
96
 
6.8%
67
 
4.7%
41
 
2.9%
40
 
2.8%
34
 
2.4%
31
 
2.2%
27
 
1.9%
26
 
1.8%
23
 
1.6%
Other values (217) 916
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1278
90.3%
Space Separator 96
 
6.8%
Close Punctuation 16
 
1.1%
Open Punctuation 16
 
1.1%
Other Punctuation 10
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
115
 
9.0%
67
 
5.2%
41
 
3.2%
40
 
3.1%
34
 
2.7%
31
 
2.4%
27
 
2.1%
26
 
2.0%
23
 
1.8%
19
 
1.5%
Other values (212) 855
66.9%
Other Punctuation
ValueCountFrequency (%)
· 7
70.0%
, 3
30.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1278
90.3%
Common 138
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
115
 
9.0%
67
 
5.2%
41
 
3.2%
40
 
3.1%
34
 
2.7%
31
 
2.4%
27
 
2.1%
26
 
2.0%
23
 
1.8%
19
 
1.5%
Other values (212) 855
66.9%
Common
ValueCountFrequency (%)
96
69.6%
) 16
 
11.6%
( 16
 
11.6%
· 7
 
5.1%
, 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1278
90.3%
ASCII 131
 
9.3%
None 7
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
115
 
9.0%
67
 
5.2%
41
 
3.2%
40
 
3.1%
34
 
2.7%
31
 
2.4%
27
 
2.1%
26
 
2.0%
23
 
1.8%
19
 
1.5%
Other values (212) 855
66.9%
ASCII
ValueCountFrequency (%)
96
73.3%
) 16
 
12.2%
( 16
 
12.2%
, 3
 
2.3%
None
ValueCountFrequency (%)
· 7
100.0%

서울 종로
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.839506
Minimum0
Maximum1648
Zeros32
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:05.112249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q336.75
95-th percentile361.45
Maximum1648
Range1648
Interquartile range (IQR)35.75

Descriptive statistics

Standard deviation234.69811
Coefficient of variation (CV)3.0151542
Kurtosis27.42473
Mean77.839506
Median Absolute Deviation (MAD)7
Skewness5.0215806
Sum12610
Variance55083.204
MonotonicityNot monotonic
2024-05-04T08:24:05.657971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
19.8%
1 13
 
8.0%
2 11
 
6.8%
5 8
 
4.9%
4 8
 
4.9%
7 4
 
2.5%
11 4
 
2.5%
10 4
 
2.5%
13 4
 
2.5%
25 4
 
2.5%
Other values (53) 70
43.2%
ValueCountFrequency (%)
0 32
19.8%
1 13
8.0%
2 11
 
6.8%
3 4
 
2.5%
4 8
 
4.9%
5 8
 
4.9%
6 3
 
1.9%
7 4
 
2.5%
8 1
 
0.6%
9 3
 
1.9%
ValueCountFrequency (%)
1648 1
0.6%
1563 1
0.6%
1325 1
0.6%
1013 1
0.6%
658 1
0.6%
579 1
0.6%
407 1
0.6%
366 1
0.6%
362 1
0.6%
351 1
0.6%

서울 중구
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.481481
Minimum0
Maximum1992
Zeros35
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:06.163969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q341
95-th percentile361.85
Maximum1992
Range1992
Interquartile range (IQR)40

Descriptive statistics

Standard deviation267.1074
Coefficient of variation (CV)3.1247399
Kurtosis31.117998
Mean85.481481
Median Absolute Deviation (MAD)6
Skewness5.318213
Sum13848
Variance71346.363
MonotonicityNot monotonic
2024-05-04T08:24:06.727116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
21.6%
1 12
 
7.4%
2 11
 
6.8%
6 8
 
4.9%
4 6
 
3.7%
3 6
 
3.7%
9 5
 
3.1%
5 5
 
3.1%
14 4
 
2.5%
13 3
 
1.9%
Other values (54) 67
41.4%
ValueCountFrequency (%)
0 35
21.6%
1 12
 
7.4%
2 11
 
6.8%
3 6
 
3.7%
4 6
 
3.7%
5 5
 
3.1%
6 8
 
4.9%
7 3
 
1.9%
9 5
 
3.1%
10 3
 
1.9%
ValueCountFrequency (%)
1992 1
0.6%
1839 1
0.6%
1361 1
0.6%
1184 1
0.6%
633 1
0.6%
623 1
0.6%
396 1
0.6%
391 1
0.6%
364 1
0.6%
321 1
0.6%

서울 용산
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.54321
Minimum0
Maximum1548
Zeros42
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:07.184149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q328.25
95-th percentile292.85
Maximum1548
Range1548
Interquartile range (IQR)28.25

Descriptive statistics

Standard deviation231.99047
Coefficient of variation (CV)3.1544785
Kurtosis23.873302
Mean73.54321
Median Absolute Deviation (MAD)4.5
Skewness4.7865855
Sum11914
Variance53819.579
MonotonicityNot monotonic
2024-05-04T08:24:07.983111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
25.9%
1 18
 
11.1%
4 9
 
5.6%
2 6
 
3.7%
3 6
 
3.7%
5 5
 
3.1%
10 5
 
3.1%
12 5
 
3.1%
16 4
 
2.5%
21 4
 
2.5%
Other values (49) 58
35.8%
ValueCountFrequency (%)
0 42
25.9%
1 18
11.1%
2 6
 
3.7%
3 6
 
3.7%
4 9
 
5.6%
5 5
 
3.1%
6 2
 
1.2%
7 1
 
0.6%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
1548 1
0.6%
1385 1
0.6%
1326 1
0.6%
1167 1
0.6%
787 1
0.6%
763 1
0.6%
433 1
0.6%
415 1
0.6%
293 1
0.6%
290 1
0.6%

서울 성동
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.635802
Minimum0
Maximum1767
Zeros41
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:08.656743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3
Q323
95-th percentile208.75
Maximum1767
Range1767
Interquartile range (IQR)22.75

Descriptive statistics

Standard deviation202.55326
Coefficient of variation (CV)3.4544297
Kurtosis39.219863
Mean58.635802
Median Absolute Deviation (MAD)3
Skewness5.8594874
Sum9499
Variance41027.823
MonotonicityNot monotonic
2024-05-04T08:24:09.248786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
25.3%
1 21
 
13.0%
2 12
 
7.4%
3 12
 
7.4%
4 5
 
3.1%
6 4
 
2.5%
5 4
 
2.5%
19 3
 
1.9%
7 2
 
1.2%
11 2
 
1.2%
Other values (50) 56
34.6%
ValueCountFrequency (%)
0 41
25.3%
1 21
13.0%
2 12
 
7.4%
3 12
 
7.4%
4 5
 
3.1%
5 4
 
2.5%
6 4
 
2.5%
7 2
 
1.2%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
1767 1
0.6%
1074 1
0.6%
997 1
0.6%
922 1
0.6%
622 1
0.6%
434 1
0.6%
261 1
0.6%
254 1
0.6%
209 1
0.6%
204 1
0.6%

서울 광진
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.882716
Minimum0
Maximum2178
Zeros39
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:09.794353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q330.75
95-th percentile272.35
Maximum2178
Range2178
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation260.39739
Coefficient of variation (CV)3.3434554
Kurtosis36.85505
Mean77.882716
Median Absolute Deviation (MAD)5
Skewness5.7346762
Sum12617
Variance67806.8
MonotonicityNot monotonic
2024-05-04T08:24:10.319445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
24.1%
1 13
 
8.0%
2 11
 
6.8%
3 10
 
6.2%
6 6
 
3.7%
4 6
 
3.7%
28 4
 
2.5%
5 4
 
2.5%
13 3
 
1.9%
29 3
 
1.9%
Other values (54) 63
38.9%
ValueCountFrequency (%)
0 39
24.1%
1 13
 
8.0%
2 11
 
6.8%
3 10
 
6.2%
4 6
 
3.7%
5 4
 
2.5%
6 6
 
3.7%
7 2
 
1.2%
8 1
 
0.6%
9 3
 
1.9%
ValueCountFrequency (%)
2178 1
0.6%
1599 1
0.6%
1366 1
0.6%
888 1
0.6%
871 1
0.6%
540 1
0.6%
426 1
0.6%
393 1
0.6%
273 1
0.6%
260 1
0.6%

서울 동대문
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.506173
Minimum0
Maximum1784
Zeros40
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:10.829836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5.5
Q335.5
95-th percentile285.55
Maximum1784
Range1784
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation251.61886
Coefficient of variation (CV)3.3771546
Kurtosis30.945786
Mean74.506173
Median Absolute Deviation (MAD)5.5
Skewness5.4729713
Sum12070
Variance63312.053
MonotonicityNot monotonic
2024-05-04T08:24:11.370013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
24.7%
1 13
 
8.0%
2 11
 
6.8%
3 8
 
4.9%
6 7
 
4.3%
4 6
 
3.7%
33 3
 
1.9%
11 3
 
1.9%
8 3
 
1.9%
5 3
 
1.9%
Other values (56) 65
40.1%
ValueCountFrequency (%)
0 40
24.7%
1 13
 
8.0%
2 11
 
6.8%
3 8
 
4.9%
4 6
 
3.7%
5 3
 
1.9%
6 7
 
4.3%
7 3
 
1.9%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
1784 1
0.6%
1554 1
0.6%
1524 1
0.6%
1427 1
0.6%
465 1
0.6%
388 1
0.6%
339 1
0.6%
322 1
0.6%
288 1
0.6%
239 1
0.6%

서울 중랑
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.253086
Minimum0
Maximum1833
Zeros43
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:11.960000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q329.25
95-th percentile288.8
Maximum1833
Range1833
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation248.07503
Coefficient of variation (CV)3.3865472
Kurtosis29.297368
Mean73.253086
Median Absolute Deviation (MAD)3
Skewness5.2449103
Sum11867
Variance61541.221
MonotonicityNot monotonic
2024-05-04T08:24:12.616679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
26.5%
1 17
 
10.5%
2 12
 
7.4%
3 11
 
6.8%
4 7
 
4.3%
11 5
 
3.1%
7 4
 
2.5%
21 3
 
1.9%
6 3
 
1.9%
10 3
 
1.9%
Other values (47) 54
33.3%
ValueCountFrequency (%)
0 43
26.5%
1 17
 
10.5%
2 12
 
7.4%
3 11
 
6.8%
4 7
 
4.3%
5 2
 
1.2%
6 3
 
1.9%
7 4
 
2.5%
10 3
 
1.9%
11 5
 
3.1%
ValueCountFrequency (%)
1833 1
0.6%
1536 1
0.6%
1372 1
0.6%
1221 1
0.6%
693 1
0.6%
567 1
0.6%
518 1
0.6%
328 1
0.6%
290 1
0.6%
266 1
0.6%

서울 성북
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.246914
Minimum0
Maximum1360
Zeros41
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:13.159923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3
Q327.75
95-th percentile234.4
Maximum1360
Range1360
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation215.03968
Coefficient of variation (CV)3.2957831
Kurtosis25.595241
Mean65.246914
Median Absolute Deviation (MAD)3
Skewness4.9972727
Sum10570
Variance46242.063
MonotonicityNot monotonic
2024-05-04T08:24:13.786003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
25.3%
1 19
 
11.7%
3 12
 
7.4%
2 11
 
6.8%
8 6
 
3.7%
7 5
 
3.1%
10 4
 
2.5%
5 4
 
2.5%
4 4
 
2.5%
28 2
 
1.2%
Other values (47) 54
33.3%
ValueCountFrequency (%)
0 41
25.3%
1 19
11.7%
2 11
 
6.8%
3 12
 
7.4%
4 4
 
2.5%
5 4
 
2.5%
6 1
 
0.6%
7 5
 
3.1%
8 6
 
3.7%
10 4
 
2.5%
ValueCountFrequency (%)
1360 1
0.6%
1347 1
0.6%
1276 1
0.6%
1173 1
0.6%
807 1
0.6%
422 1
0.6%
413 1
0.6%
258 1
0.6%
236 1
0.6%
204 2
1.2%

서울 강북
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.580247
Minimum0
Maximum1527
Zeros48
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:14.262243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321.75
95-th percentile269.1
Maximum1527
Range1527
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation198.23196
Coefficient of variation (CV)3.3839386
Kurtosis32.172547
Mean58.580247
Median Absolute Deviation (MAD)3
Skewness5.4647574
Sum9490
Variance39295.91
MonotonicityNot monotonic
2024-05-04T08:24:14.857475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
29.6%
1 16
 
9.9%
3 10
 
6.2%
2 8
 
4.9%
4 5
 
3.1%
7 5
 
3.1%
6 4
 
2.5%
11 4
 
2.5%
5 4
 
2.5%
12 3
 
1.9%
Other values (45) 55
34.0%
ValueCountFrequency (%)
0 48
29.6%
1 16
 
9.9%
2 8
 
4.9%
3 10
 
6.2%
4 5
 
3.1%
5 4
 
2.5%
6 4
 
2.5%
7 5
 
3.1%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
1527 1
0.6%
1266 1
0.6%
1014 1
0.6%
993 1
0.6%
534 1
0.6%
326 1
0.6%
301 1
0.6%
295 1
0.6%
272 1
0.6%
214 1
0.6%

서울 도봉
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.611111
Minimum0
Maximum1043
Zeros50
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:15.333131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q319
95-th percentile173.4
Maximum1043
Range1043
Interquartile range (IQR)19

Descriptive statistics

Standard deviation137.7365
Coefficient of variation (CV)3.2324082
Kurtosis30.159728
Mean42.611111
Median Absolute Deviation (MAD)3
Skewness5.2811565
Sum6903
Variance18971.345
MonotonicityNot monotonic
2024-05-04T08:24:15.837323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
30.9%
1 17
 
10.5%
2 13
 
8.0%
3 11
 
6.8%
4 6
 
3.7%
6 4
 
2.5%
19 3
 
1.9%
8 3
 
1.9%
5 2
 
1.2%
27 2
 
1.2%
Other values (42) 51
31.5%
ValueCountFrequency (%)
0 50
30.9%
1 17
 
10.5%
2 13
 
8.0%
3 11
 
6.8%
4 6
 
3.7%
5 2
 
1.2%
6 4
 
2.5%
7 1
 
0.6%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
1043 1
0.6%
825 1
0.6%
802 1
0.6%
634 1
0.6%
409 1
0.6%
251 1
0.6%
242 1
0.6%
205 1
0.6%
175 1
0.6%
143 1
0.6%

서울 노원
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.475309
Minimum0
Maximum1794
Zeros48
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:16.296997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q332.75
95-th percentile278.35
Maximum1794
Range1794
Interquartile range (IQR)32.75

Descriptive statistics

Standard deviation253.32247
Coefficient of variation (CV)3.401429
Kurtosis28.96346
Mean74.475309
Median Absolute Deviation (MAD)5
Skewness5.2708033
Sum12065
Variance64172.276
MonotonicityNot monotonic
2024-05-04T08:24:16.897364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
29.6%
1 9
 
5.6%
2 9
 
5.6%
3 7
 
4.3%
6 6
 
3.7%
4 6
 
3.7%
5 6
 
3.7%
9 4
 
2.5%
15 4
 
2.5%
24 3
 
1.9%
Other values (50) 60
37.0%
ValueCountFrequency (%)
0 48
29.6%
1 9
 
5.6%
2 9
 
5.6%
3 7
 
4.3%
4 6
 
3.7%
5 6
 
3.7%
6 6
 
3.7%
7 3
 
1.9%
8 2
 
1.2%
9 4
 
2.5%
ValueCountFrequency (%)
1794 1
0.6%
1540 1
0.6%
1531 1
0.6%
1315 1
0.6%
701 1
0.6%
506 1
0.6%
488 1
0.6%
315 1
0.6%
279 1
0.6%
266 1
0.6%

서울 은평
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.228395
Minimum0
Maximum1524
Zeros41
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:17.488803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3
Q328.75
95-th percentile294.95
Maximum1524
Range1524
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation222.95205
Coefficient of variation (CV)3.3664118
Kurtosis27.703028
Mean66.228395
Median Absolute Deviation (MAD)3
Skewness5.1529062
Sum10729
Variance49707.618
MonotonicityNot monotonic
2024-05-04T08:24:18.103432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
25.3%
1 17
 
10.5%
2 14
 
8.6%
3 10
 
6.2%
4 5
 
3.1%
6 4
 
2.5%
5 3
 
1.9%
7 3
 
1.9%
10 3
 
1.9%
12 3
 
1.9%
Other values (52) 59
36.4%
ValueCountFrequency (%)
0 41
25.3%
1 17
10.5%
2 14
 
8.6%
3 10
 
6.2%
4 5
 
3.1%
5 3
 
1.9%
6 4
 
2.5%
7 3
 
1.9%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
1524 1
0.6%
1397 1
0.6%
1388 1
0.6%
918 1
0.6%
916 1
0.6%
414 1
0.6%
401 1
0.6%
305 1
0.6%
300 1
0.6%
199 1
0.6%

서울 서대문
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.117284
Minimum0
Maximum1642
Zeros41
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:18.858792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3
Q322
95-th percentile232.65
Maximum1642
Range1642
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation200.64815
Coefficient of variation (CV)3.4524696
Kurtosis35.065508
Mean58.117284
Median Absolute Deviation (MAD)3
Skewness5.6358136
Sum9415
Variance40259.682
MonotonicityNot monotonic
2024-05-04T08:24:19.449138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
25.3%
1 26
16.0%
2 11
 
6.8%
4 6
 
3.7%
3 6
 
3.7%
6 5
 
3.1%
62 3
 
1.9%
11 3
 
1.9%
9 3
 
1.9%
22 2
 
1.2%
Other values (47) 56
34.6%
ValueCountFrequency (%)
0 41
25.3%
1 26
16.0%
2 11
 
6.8%
3 6
 
3.7%
4 6
 
3.7%
5 2
 
1.2%
6 5
 
3.1%
7 2
 
1.2%
8 2
 
1.2%
9 3
 
1.9%
ValueCountFrequency (%)
1642 1
0.6%
1229 1
0.6%
977 1
0.6%
941 1
0.6%
561 1
0.6%
383 1
0.6%
382 1
0.6%
251 1
0.6%
233 1
0.6%
226 1
0.6%

서울 마포
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.24074
Minimum0
Maximum2097
Zeros38
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:19.954390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6.5
Q340.75
95-th percentile495.7
Maximum2097
Range2097
Interquartile range (IQR)39.75

Descriptive statistics

Standard deviation310.37056
Coefficient of variation (CV)3.0656686
Kurtosis22.681588
Mean101.24074
Median Absolute Deviation (MAD)6.5
Skewness4.6342022
Sum16401
Variance96329.886
MonotonicityNot monotonic
2024-05-04T08:24:20.524155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
23.5%
1 12
 
7.4%
2 9
 
5.6%
4 8
 
4.9%
3 6
 
3.7%
8 6
 
3.7%
6 6
 
3.7%
9 4
 
2.5%
7 4
 
2.5%
29 3
 
1.9%
Other values (55) 66
40.7%
ValueCountFrequency (%)
0 38
23.5%
1 12
 
7.4%
2 9
 
5.6%
3 6
 
3.7%
4 8
 
4.9%
5 2
 
1.2%
6 6
 
3.7%
7 4
 
2.5%
8 6
 
3.7%
9 4
 
2.5%
ValueCountFrequency (%)
2097 1
0.6%
1729 1
0.6%
1706 1
0.6%
1665 1
0.6%
1094 1
0.6%
809 1
0.6%
785 1
0.6%
556 1
0.6%
499 1
0.6%
433 1
0.6%

서울 양천
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68
Minimum0
Maximum1591
Zeros38
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:21.078912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q327
95-th percentile256.1
Maximum1591
Range1591
Interquartile range (IQR)26

Descriptive statistics

Standard deviation229.66324
Coefficient of variation (CV)3.3774006
Kurtosis28.309194
Mean68
Median Absolute Deviation (MAD)4
Skewness5.2209351
Sum11016
Variance52745.205
MonotonicityNot monotonic
2024-05-04T08:24:21.885121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
23.5%
1 15
 
9.3%
2 13
 
8.0%
3 12
 
7.4%
5 8
 
4.9%
10 5
 
3.1%
7 4
 
2.5%
4 4
 
2.5%
9 3
 
1.9%
6 3
 
1.9%
Other values (50) 57
35.2%
ValueCountFrequency (%)
0 38
23.5%
1 15
 
9.3%
2 13
 
8.0%
3 12
 
7.4%
4 4
 
2.5%
5 8
 
4.9%
6 3
 
1.9%
7 4
 
2.5%
8 1
 
0.6%
9 3
 
1.9%
ValueCountFrequency (%)
1591 1
0.6%
1420 1
0.6%
1387 1
0.6%
1191 1
0.6%
689 1
0.6%
453 1
0.6%
442 1
0.6%
263 1
0.6%
257 1
0.6%
239 1
0.6%

서울 강서
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.31481
Minimum0
Maximum2242
Zeros32
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:22.698861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8.5
Q337.75
95-th percentile396.8
Maximum2242
Range2242
Interquartile range (IQR)36.75

Descriptive statistics

Standard deviation332.99468
Coefficient of variation (CV)3.2546087
Kurtosis25.70371
Mean102.31481
Median Absolute Deviation (MAD)8.5
Skewness5.0012639
Sum16575
Variance110885.46
MonotonicityNot monotonic
2024-05-04T08:24:23.148657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
19.8%
1 13
 
8.0%
2 12
 
7.4%
5 6
 
3.7%
4 5
 
3.1%
12 4
 
2.5%
11 4
 
2.5%
6 4
 
2.5%
8 4
 
2.5%
3 4
 
2.5%
Other values (55) 74
45.7%
ValueCountFrequency (%)
0 32
19.8%
1 13
8.0%
2 12
 
7.4%
3 4
 
2.5%
4 5
 
3.1%
5 6
 
3.7%
6 4
 
2.5%
7 1
 
0.6%
8 4
 
2.5%
9 3
 
1.9%
ValueCountFrequency (%)
2242 1
0.6%
1969 1
0.6%
1887 1
0.6%
1840 1
0.6%
1336 1
0.6%
653 1
0.6%
548 1
0.6%
414 1
0.6%
399 1
0.6%
355 1
0.6%

서울 구로
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.746914
Minimum0
Maximum2038
Zeros40
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:23.691201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5.5
Q336
95-th percentile481.9
Maximum2038
Range2038
Interquartile range (IQR)35

Descriptive statistics

Standard deviation283.4298
Coefficient of variation (CV)3.2300828
Kurtosis29.182773
Mean87.746914
Median Absolute Deviation (MAD)5.5
Skewness5.1947452
Sum14215
Variance80332.451
MonotonicityNot monotonic
2024-05-04T08:24:24.277785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
24.7%
1 14
 
8.6%
2 12
 
7.4%
3 7
 
4.3%
5 5
 
3.1%
9 5
 
3.1%
7 4
 
2.5%
8 4
 
2.5%
6 4
 
2.5%
13 3
 
1.9%
Other values (54) 64
39.5%
ValueCountFrequency (%)
0 40
24.7%
1 14
 
8.6%
2 12
 
7.4%
3 7
 
4.3%
4 3
 
1.9%
5 5
 
3.1%
6 4
 
2.5%
7 4
 
2.5%
8 4
 
2.5%
9 5
 
3.1%
ValueCountFrequency (%)
2038 1
0.6%
1806 1
0.6%
1732 1
0.6%
1200 1
0.6%
620 1
0.6%
522 1
0.6%
509 1
0.6%
500 1
0.6%
482 1
0.6%
480 1
0.6%

서울 금천
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.759259
Minimum0
Maximum1344
Zeros45
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:24.772516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329.5
95-th percentile311.9
Maximum1344
Range1344
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation195.61128
Coefficient of variation (CV)3.0205917
Kurtosis22.748644
Mean64.759259
Median Absolute Deviation (MAD)4
Skewness4.6289758
Sum10491
Variance38263.774
MonotonicityNot monotonic
2024-05-04T08:24:25.485125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
27.8%
1 13
 
8.0%
3 11
 
6.8%
2 10
 
6.2%
5 8
 
4.9%
9 5
 
3.1%
8 4
 
2.5%
4 4
 
2.5%
7 4
 
2.5%
12 3
 
1.9%
Other values (47) 55
34.0%
ValueCountFrequency (%)
0 45
27.8%
1 13
 
8.0%
2 10
 
6.2%
3 11
 
6.8%
4 4
 
2.5%
5 8
 
4.9%
6 2
 
1.2%
7 4
 
2.5%
8 4
 
2.5%
9 5
 
3.1%
ValueCountFrequency (%)
1344 1
0.6%
1086 1
0.6%
1075 1
0.6%
988 1
0.6%
765 1
0.6%
562 1
0.6%
368 1
0.6%
319 1
0.6%
313 1
0.6%
291 1
0.6%

서울 영등포
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.40741
Minimum0
Maximum3497
Zeros31
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:25.994342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q350.75
95-th percentile573.55
Maximum3497
Range3497
Interquartile range (IQR)49.75

Descriptive statistics

Standard deviation412.37607
Coefficient of variation (CV)3.3415828
Kurtosis36.668492
Mean123.40741
Median Absolute Deviation (MAD)13
Skewness5.6952046
Sum19992
Variance170054.02
MonotonicityNot monotonic
2024-05-04T08:24:26.482097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
19.1%
1 16
 
9.9%
13 7
 
4.3%
7 5
 
3.1%
19 4
 
2.5%
2 4
 
2.5%
21 4
 
2.5%
4 4
 
2.5%
5 4
 
2.5%
14 3
 
1.9%
Other values (61) 80
49.4%
ValueCountFrequency (%)
0 31
19.1%
1 16
9.9%
2 4
 
2.5%
3 3
 
1.9%
4 4
 
2.5%
5 4
 
2.5%
6 2
 
1.2%
7 5
 
3.1%
8 2
 
1.2%
9 3
 
1.9%
ValueCountFrequency (%)
3497 1
0.6%
2311 1
0.6%
1996 1
0.6%
1980 1
0.6%
1161 1
0.6%
795 1
0.6%
654 1
0.6%
585 1
0.6%
580 1
0.6%
451 1
0.6%

서울 동작
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.018519
Minimum0
Maximum1314
Zeros53
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:27.132351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q323.75
95-th percentile255.5
Maximum1314
Range1314
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation199.18547
Coefficient of variation (CV)3.4331361
Kurtosis27.134836
Mean58.018519
Median Absolute Deviation (MAD)4.5
Skewness5.1320126
Sum9399
Variance39674.851
MonotonicityNot monotonic
2024-05-04T08:24:27.792933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
32.7%
1 10
 
6.2%
9 8
 
4.9%
5 7
 
4.3%
2 7
 
4.3%
4 7
 
4.3%
6 5
 
3.1%
3 4
 
2.5%
8 4
 
2.5%
10 3
 
1.9%
Other values (47) 54
33.3%
ValueCountFrequency (%)
0 53
32.7%
1 10
 
6.2%
2 7
 
4.3%
3 4
 
2.5%
4 7
 
4.3%
5 7
 
4.3%
6 5
 
3.1%
7 1
 
0.6%
8 4
 
2.5%
9 8
 
4.9%
ValueCountFrequency (%)
1314 1
0.6%
1230 1
0.6%
1202 1
0.6%
1101 1
0.6%
524 1
0.6%
485 1
0.6%
395 1
0.6%
306 1
0.6%
259 1
0.6%
189 1
0.6%

서울 관악
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.40741
Minimum0
Maximum2306
Zeros35
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:28.408689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5.5
Q345.25
95-th percentile530.6
Maximum2306
Range2306
Interquartile range (IQR)44.25

Descriptive statistics

Standard deviation330.213
Coefficient of variation (CV)3.1327305
Kurtosis29.658397
Mean105.40741
Median Absolute Deviation (MAD)5.5
Skewness5.2078949
Sum17076
Variance109040.63
MonotonicityNot monotonic
2024-05-04T08:24:28.966502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
21.6%
2 16
 
9.9%
1 12
 
7.4%
3 8
 
4.9%
4 6
 
3.7%
8 4
 
2.5%
14 4
 
2.5%
12 4
 
2.5%
5 4
 
2.5%
11 3
 
1.9%
Other values (58) 66
40.7%
ValueCountFrequency (%)
0 35
21.6%
1 12
 
7.4%
2 16
9.9%
3 8
 
4.9%
4 6
 
3.7%
5 4
 
2.5%
6 2
 
1.2%
7 3
 
1.9%
8 4
 
2.5%
9 1
 
0.6%
ValueCountFrequency (%)
2306 1
0.6%
2177 1
0.6%
2134 1
0.6%
1019 1
0.6%
924 1
0.6%
701 1
0.6%
675 1
0.6%
636 1
0.6%
534 1
0.6%
466 1
0.6%

서울 서초
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.32099
Minimum0
Maximum4227
Zeros27
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:29.652016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10.5
Q356.75
95-th percentile529.2
Maximum4227
Range4227
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation434.62607
Coefficient of variation (CV)3.3350428
Kurtosis53.175489
Mean130.32099
Median Absolute Deviation (MAD)10.5
Skewness6.6011821
Sum21112
Variance188899.82
MonotonicityNot monotonic
2024-05-04T08:24:30.170861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
16.7%
2 10
 
6.2%
4 9
 
5.6%
1 8
 
4.9%
3 7
 
4.3%
6 6
 
3.7%
5 4
 
2.5%
7 4
 
2.5%
25 4
 
2.5%
11 3
 
1.9%
Other values (65) 80
49.4%
ValueCountFrequency (%)
0 27
16.7%
1 8
 
4.9%
2 10
 
6.2%
3 7
 
4.3%
4 9
 
5.6%
5 4
 
2.5%
6 6
 
3.7%
7 4
 
2.5%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
4227 1
0.6%
2111 1
0.6%
1821 1
0.6%
1587 1
0.6%
1021 1
0.6%
997 1
0.6%
750 1
0.6%
662 1
0.6%
533 1
0.6%
457 1
0.6%

서울 강남
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213.85802
Minimum0
Maximum7804
Zeros27
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:30.853936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15
Q3109.75
95-th percentile812.75
Maximum7804
Range7804
Interquartile range (IQR)107.75

Descriptive statistics

Standard deviation754.64305
Coefficient of variation (CV)3.5287105
Kurtosis66.224515
Mean213.85802
Median Absolute Deviation (MAD)15
Skewness7.3534231
Sum34645
Variance569486.13
MonotonicityNot monotonic
2024-05-04T08:24:31.372841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
16.7%
1 8
 
4.9%
2 8
 
4.9%
10 5
 
3.1%
4 4
 
2.5%
13 4
 
2.5%
7 4
 
2.5%
8 4
 
2.5%
27 3
 
1.9%
14 3
 
1.9%
Other values (74) 92
56.8%
ValueCountFrequency (%)
0 27
16.7%
1 8
 
4.9%
2 8
 
4.9%
3 2
 
1.2%
4 4
 
2.5%
5 3
 
1.9%
6 2
 
1.2%
7 4
 
2.5%
8 4
 
2.5%
9 3
 
1.9%
ValueCountFrequency (%)
7804 1
0.6%
3144 1
0.6%
2969 1
0.6%
2315 1
0.6%
1788 1
0.6%
1751 1
0.6%
1494 1
0.6%
1031 1
0.6%
816 1
0.6%
751 1
0.6%

서울 송파
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.55556
Minimum0
Maximum2931
Zeros29
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:31.917215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9.5
Q349.75
95-th percentile537.55
Maximum2931
Range2931
Interquartile range (IQR)48.75

Descriptive statistics

Standard deviation406.30252
Coefficient of variation (CV)3.2884197
Kurtosis27.15876
Mean123.55556
Median Absolute Deviation (MAD)9.5
Skewness5.0704953
Sum20016
Variance165081.74
MonotonicityNot monotonic
2024-05-04T08:24:32.606275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
17.9%
1 13
 
8.0%
2 8
 
4.9%
6 7
 
4.3%
7 6
 
3.7%
3 5
 
3.1%
5 5
 
3.1%
10 3
 
1.9%
4 3
 
1.9%
15 3
 
1.9%
Other values (60) 80
49.4%
ValueCountFrequency (%)
0 29
17.9%
1 13
8.0%
2 8
 
4.9%
3 5
 
3.1%
4 3
 
1.9%
5 5
 
3.1%
6 7
 
4.3%
7 6
 
3.7%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
2931 1
0.6%
2475 1
0.6%
2279 1
0.6%
1813 1
0.6%
1537 1
0.6%
1148 1
0.6%
647 1
0.6%
618 1
0.6%
545 1
0.6%
396 2
1.2%

서울 강동
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.635802
Minimum0
Maximum1648
Zeros37
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:33.247400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q327.75
95-th percentile284.7
Maximum1648
Range1648
Interquartile range (IQR)26.75

Descriptive statistics

Standard deviation242.81984
Coefficient of variation (CV)3.3896436
Kurtosis28.937602
Mean71.635802
Median Absolute Deviation (MAD)4
Skewness5.2725605
Sum11605
Variance58961.475
MonotonicityNot monotonic
2024-05-04T08:24:33.956995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
22.8%
2 15
 
9.3%
1 14
 
8.6%
4 10
 
6.2%
3 7
 
4.3%
5 5
 
3.1%
8 4
 
2.5%
6 4
 
2.5%
7 3
 
1.9%
11 3
 
1.9%
Other values (51) 60
37.0%
ValueCountFrequency (%)
0 37
22.8%
1 14
 
8.6%
2 15
9.3%
3 7
 
4.3%
4 10
 
6.2%
5 5
 
3.1%
6 4
 
2.5%
7 3
 
1.9%
8 4
 
2.5%
9 1
 
0.6%
ValueCountFrequency (%)
1648 1
0.6%
1577 1
0.6%
1474 1
0.6%
1252 1
0.6%
566 1
0.6%
505 1
0.6%
484 1
0.6%
289 1
0.6%
287 1
0.6%
241 1
0.6%

부산 중구
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.08642
Minimum0
Maximum1021
Zeros59
Zeros (%)36.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:34.400302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q313.75
95-th percentile126.65
Maximum1021
Range1021
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation116.72314
Coefficient of variation (CV)3.5278261
Kurtosis44.560607
Mean33.08642
Median Absolute Deviation (MAD)2.5
Skewness6.2978786
Sum5360
Variance13624.291
MonotonicityNot monotonic
2024-05-04T08:24:35.183362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 59
36.4%
1 14
 
8.6%
2 8
 
4.9%
5 7
 
4.3%
4 7
 
4.3%
3 6
 
3.7%
8 4
 
2.5%
12 3
 
1.9%
34 3
 
1.9%
6 3
 
1.9%
Other values (38) 48
29.6%
ValueCountFrequency (%)
0 59
36.4%
1 14
 
8.6%
2 8
 
4.9%
3 6
 
3.7%
4 7
 
4.3%
5 7
 
4.3%
6 3
 
1.9%
7 3
 
1.9%
8 4
 
2.5%
9 3
 
1.9%
ValueCountFrequency (%)
1021 1
0.6%
802 1
0.6%
454 1
0.6%
451 1
0.6%
308 1
0.6%
203 1
0.6%
135 1
0.6%
132 1
0.6%
128 1
0.6%
101 1
0.6%

부산 서구
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.179012
Minimum0
Maximum672
Zeros60
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:35.608088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q314
95-th percentile139.35
Maximum672
Range672
Interquartile range (IQR)14

Descriptive statistics

Standard deviation93.117031
Coefficient of variation (CV)3.3044817
Kurtosis29.485517
Mean28.179012
Median Absolute Deviation (MAD)1.5
Skewness5.2584463
Sum4565
Variance8670.7814
MonotonicityNot monotonic
2024-05-04T08:24:36.123236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 60
37.0%
1 21
 
13.0%
2 13
 
8.0%
3 8
 
4.9%
4 6
 
3.7%
17 4
 
2.5%
58 3
 
1.9%
5 3
 
1.9%
16 3
 
1.9%
14 2
 
1.2%
Other values (32) 39
24.1%
ValueCountFrequency (%)
0 60
37.0%
1 21
 
13.0%
2 13
 
8.0%
3 8
 
4.9%
4 6
 
3.7%
5 3
 
1.9%
6 2
 
1.2%
8 2
 
1.2%
9 2
 
1.2%
10 1
 
0.6%
ValueCountFrequency (%)
672 1
0.6%
592 1
0.6%
564 1
0.6%
390 1
0.6%
306 1
0.6%
167 1
0.6%
154 1
0.6%
147 1
0.6%
142 1
0.6%
89 1
0.6%

부산 동구
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.771605
Minimum0
Maximum992
Zeros44
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:36.577813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312.75
95-th percentile117.8
Maximum992
Range992
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation125.27189
Coefficient of variation (CV)3.5019925
Kurtosis34.609716
Mean35.771605
Median Absolute Deviation (MAD)3
Skewness5.6608131
Sum5795
Variance15693.047
MonotonicityNot monotonic
2024-05-04T08:24:37.454684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 44
27.2%
1 23
14.2%
3 13
 
8.0%
4 9
 
5.6%
2 9
 
5.6%
5 6
 
3.7%
6 4
 
2.5%
8 3
 
1.9%
7 3
 
1.9%
10 2
 
1.2%
Other values (39) 46
28.4%
ValueCountFrequency (%)
0 44
27.2%
1 23
14.2%
2 9
 
5.6%
3 13
 
8.0%
4 9
 
5.6%
5 6
 
3.7%
6 4
 
2.5%
7 3
 
1.9%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
992 1
0.6%
814 1
0.6%
676 1
0.6%
470 1
0.6%
454 1
0.6%
225 1
0.6%
138 1
0.6%
127 1
0.6%
118 1
0.6%
114 1
0.6%

부산 영도
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.58642
Minimum0
Maximum928
Zeros65
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:37.882768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311.75
95-th percentile93.55
Maximum928
Range928
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation99.007726
Coefficient of variation (CV)3.5890024
Kurtosis46.941235
Mean27.58642
Median Absolute Deviation (MAD)1
Skewness6.2661046
Sum4469
Variance9802.5298
MonotonicityNot monotonic
2024-05-04T08:24:38.456469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 65
40.1%
1 17
 
10.5%
2 10
 
6.2%
3 10
 
6.2%
4 4
 
2.5%
9 3
 
1.9%
7 3
 
1.9%
25 2
 
1.2%
17 2
 
1.2%
5 2
 
1.2%
Other values (36) 44
27.2%
ValueCountFrequency (%)
0 65
40.1%
1 17
 
10.5%
2 10
 
6.2%
3 10
 
6.2%
4 4
 
2.5%
5 2
 
1.2%
6 2
 
1.2%
7 3
 
1.9%
8 2
 
1.2%
9 3
 
1.9%
ValueCountFrequency (%)
928 1
0.6%
451 1
0.6%
411 1
0.6%
370 1
0.6%
347 1
0.6%
340 1
0.6%
158 1
0.6%
117 1
0.6%
94 1
0.6%
85 1
0.6%

부산 부산진
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.04938
Minimum0
Maximum2564
Zeros31
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:39.210860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q345
95-th percentile435.6
Maximum2564
Range2564
Interquartile range (IQR)44

Descriptive statistics

Standard deviation360.15498
Coefficient of variation (CV)3.3332443
Kurtosis29.075178
Mean108.04938
Median Absolute Deviation (MAD)6
Skewness5.2118127
Sum17504
Variance129711.61
MonotonicityNot monotonic
2024-05-04T08:24:39.838892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
19.1%
1 14
 
8.6%
3 10
 
6.2%
2 9
 
5.6%
6 8
 
4.9%
13 7
 
4.3%
5 7
 
4.3%
4 5
 
3.1%
7 4
 
2.5%
8 3
 
1.9%
Other values (55) 64
39.5%
ValueCountFrequency (%)
0 31
19.1%
1 14
8.6%
2 9
 
5.6%
3 10
 
6.2%
4 5
 
3.1%
5 7
 
4.3%
6 8
 
4.9%
7 4
 
2.5%
8 3
 
1.9%
9 3
 
1.9%
ValueCountFrequency (%)
2564 1
0.6%
2469 1
0.6%
1847 1
0.6%
1619 1
0.6%
1232 1
0.6%
799 1
0.6%
743 1
0.6%
471 1
0.6%
436 1
0.6%
428 1
0.6%

부산 동래
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.450617
Minimum0
Maximum1195
Zeros49
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:40.422549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q322.5
95-th percentile221.9
Maximum1195
Range1195
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation174.80023
Coefficient of variation (CV)3.2102524
Kurtosis25.979231
Mean54.450617
Median Absolute Deviation (MAD)3
Skewness4.989306
Sum8821
Variance30555.119
MonotonicityNot monotonic
2024-05-04T08:24:40.997711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
30.2%
1 15
 
9.3%
2 10
 
6.2%
3 9
 
5.6%
5 6
 
3.7%
6 5
 
3.1%
4 5
 
3.1%
9 4
 
2.5%
10 2
 
1.2%
11 2
 
1.2%
Other values (47) 55
34.0%
ValueCountFrequency (%)
0 49
30.2%
1 15
 
9.3%
2 10
 
6.2%
3 9
 
5.6%
4 5
 
3.1%
5 6
 
3.7%
6 5
 
3.1%
7 1
 
0.6%
8 2
 
1.2%
9 4
 
2.5%
ValueCountFrequency (%)
1195 1
0.6%
1108 1
0.6%
950 1
0.6%
829 1
0.6%
774 1
0.6%
293 1
0.6%
257 1
0.6%
239 1
0.6%
223 1
0.6%
201 1
0.6%

부산 남구
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.598765
Minimum0
Maximum1631
Zeros43
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:41.422781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321
95-th percentile214.4
Maximum1631
Range1631
Interquartile range (IQR)21

Descriptive statistics

Standard deviation182.54769
Coefficient of variation (CV)3.4058189
Kurtosis41.554613
Mean53.598765
Median Absolute Deviation (MAD)4
Skewness5.9510639
Sum8683
Variance33323.658
MonotonicityNot monotonic
2024-05-04T08:24:41.964826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
26.5%
2 15
 
9.3%
1 13
 
8.0%
3 8
 
4.9%
6 8
 
4.9%
4 8
 
4.9%
10 6
 
3.7%
5 4
 
2.5%
8 4
 
2.5%
21 3
 
1.9%
Other values (43) 50
30.9%
ValueCountFrequency (%)
0 43
26.5%
1 13
 
8.0%
2 15
 
9.3%
3 8
 
4.9%
4 8
 
4.9%
5 4
 
2.5%
6 8
 
4.9%
7 1
 
0.6%
8 4
 
2.5%
9 2
 
1.2%
ValueCountFrequency (%)
1631 1
0.6%
1053 1
0.6%
687 1
0.6%
664 1
0.6%
643 1
0.6%
567 1
0.6%
254 1
0.6%
248 1
0.6%
216 1
0.6%
184 1
0.6%

부산 북구
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.734568
Minimum0
Maximum1045
Zeros48
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:42.526360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317.75
95-th percentile164.55
Maximum1045
Range1045
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation150.90311
Coefficient of variation (CV)3.3732999
Kurtosis25.971394
Mean44.734568
Median Absolute Deviation (MAD)3
Skewness5.0265994
Sum7247
Variance22771.749
MonotonicityNot monotonic
2024-05-04T08:24:43.147675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
29.6%
2 15
 
9.3%
3 12
 
7.4%
1 11
 
6.8%
4 7
 
4.3%
5 5
 
3.1%
7 5
 
3.1%
8 4
 
2.5%
20 3
 
1.9%
30 3
 
1.9%
Other values (43) 49
30.2%
ValueCountFrequency (%)
0 48
29.6%
1 11
 
6.8%
2 15
 
9.3%
3 12
 
7.4%
4 7
 
4.3%
5 5
 
3.1%
6 2
 
1.2%
7 5
 
3.1%
8 4
 
2.5%
9 1
 
0.6%
ValueCountFrequency (%)
1045 1
0.6%
904 1
0.6%
831 1
0.6%
740 1
0.6%
679 1
0.6%
338 1
0.6%
261 1
0.6%
192 1
0.6%
165 1
0.6%
156 1
0.6%

부산 해운대
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.376543
Minimum0
Maximum1904
Zeros31
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:43.619456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q333.25
95-th percentile330.35
Maximum1904
Range1904
Interquartile range (IQR)32.25

Descriptive statistics

Standard deviation253.16025
Coefficient of variation (CV)3.073208
Kurtosis28.342672
Mean82.376543
Median Absolute Deviation (MAD)6
Skewness5.096055
Sum13345
Variance64090.112
MonotonicityNot monotonic
2024-05-04T08:24:44.252477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
19.1%
1 13
 
8.0%
4 11
 
6.8%
3 10
 
6.2%
2 8
 
4.9%
5 6
 
3.7%
6 4
 
2.5%
17 4
 
2.5%
7 4
 
2.5%
11 4
 
2.5%
Other values (54) 67
41.4%
ValueCountFrequency (%)
0 31
19.1%
1 13
8.0%
2 8
 
4.9%
3 10
 
6.2%
4 11
 
6.8%
5 6
 
3.7%
6 4
 
2.5%
7 4
 
2.5%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
1904 1
0.6%
1539 1
0.6%
1372 1
0.6%
1113 1
0.6%
932 1
0.6%
477 1
0.6%
473 1
0.6%
436 1
0.6%
333 1
0.6%
280 1
0.6%

부산 사하
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.481481
Minimum0
Maximum1421
Zeros39
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:44.701495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q325
95-th percentile227.1
Maximum1421
Range1421
Interquartile range (IQR)24

Descriptive statistics

Standard deviation193.29115
Coefficient of variation (CV)3.1958733
Kurtosis26.672515
Mean60.481481
Median Absolute Deviation (MAD)5
Skewness5.0149947
Sum9798
Variance37361.469
MonotonicityNot monotonic
2024-05-04T08:24:45.164678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
24.1%
1 18
 
11.1%
4 9
 
5.6%
5 8
 
4.9%
2 7
 
4.3%
9 6
 
3.7%
6 6
 
3.7%
3 6
 
3.7%
8 5
 
3.1%
10 3
 
1.9%
Other values (46) 55
34.0%
ValueCountFrequency (%)
0 39
24.1%
1 18
11.1%
2 7
 
4.3%
3 6
 
3.7%
4 9
 
5.6%
5 8
 
4.9%
6 6
 
3.7%
8 5
 
3.1%
9 6
 
3.7%
10 3
 
1.9%
ValueCountFrequency (%)
1421 1
0.6%
1082 1
0.6%
1014 1
0.6%
933 1
0.6%
900 1
0.6%
359 1
0.6%
323 1
0.6%
271 1
0.6%
228 1
0.6%
210 1
0.6%

부산 금정
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.91358
Minimum0
Maximum1360
Zeros45
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:45.692856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320.5
95-th percentile141.75
Maximum1360
Range1360
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation154.01909
Coefficient of variation (CV)3.5073226
Kurtosis41.978606
Mean43.91358
Median Absolute Deviation (MAD)3
Skewness6.08582
Sum7114
Variance23721.881
MonotonicityNot monotonic
2024-05-04T08:24:46.176844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
27.8%
1 18
 
11.1%
2 16
 
9.9%
4 11
 
6.8%
5 6
 
3.7%
12 5
 
3.1%
3 5
 
3.1%
37 3
 
1.9%
17 2
 
1.2%
16 2
 
1.2%
Other values (42) 49
30.2%
ValueCountFrequency (%)
0 45
27.8%
1 18
 
11.1%
2 16
 
9.9%
3 5
 
3.1%
4 11
 
6.8%
5 6
 
3.7%
6 1
 
0.6%
7 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
1360 1
0.6%
919 1
0.6%
669 1
0.6%
655 1
0.6%
515 1
0.6%
230 1
0.6%
213 1
0.6%
175 1
0.6%
142 1
0.6%
137 1
0.6%

부산 강서
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.765432
Minimum0
Maximum904
Zeros38
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:46.601662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4.5
Q316.75
95-th percentile189.05
Maximum904
Range904
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation125.42725
Coefficient of variation (CV)3.0768041
Kurtosis24.289518
Mean40.765432
Median Absolute Deviation (MAD)4.5
Skewness4.7432106
Sum6604
Variance15731.994
MonotonicityNot monotonic
2024-05-04T08:24:47.031144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
23.5%
1 15
 
9.3%
3 13
 
8.0%
2 11
 
6.8%
5 10
 
6.2%
13 5
 
3.1%
6 5
 
3.1%
7 4
 
2.5%
4 4
 
2.5%
20 3
 
1.9%
Other values (40) 54
33.3%
ValueCountFrequency (%)
0 38
23.5%
1 15
 
9.3%
2 11
 
6.8%
3 13
 
8.0%
4 4
 
2.5%
5 10
 
6.2%
6 5
 
3.1%
7 4
 
2.5%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
904 1
0.6%
758 1
0.6%
595 1
0.6%
520 2
1.2%
424 1
0.6%
325 1
0.6%
195 1
0.6%
190 1
0.6%
171 1
0.6%
147 1
0.6%

부산 연제
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.91358
Minimum0
Maximum1341
Zeros49
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:47.460135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324.75
95-th percentile197.55
Maximum1341
Range1341
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation152.66487
Coefficient of variation (CV)3.1211143
Kurtosis38.954058
Mean48.91358
Median Absolute Deviation (MAD)3
Skewness5.7409941
Sum7924
Variance23306.564
MonotonicityNot monotonic
2024-05-04T08:24:47.941761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
30.2%
1 20
 
12.3%
2 11
 
6.8%
6 6
 
3.7%
3 4
 
2.5%
11 4
 
2.5%
10 4
 
2.5%
8 4
 
2.5%
14 3
 
1.9%
7 3
 
1.9%
Other values (48) 54
33.3%
ValueCountFrequency (%)
0 49
30.2%
1 20
12.3%
2 11
 
6.8%
3 4
 
2.5%
4 2
 
1.2%
5 2
 
1.2%
6 6
 
3.7%
7 3
 
1.9%
8 4
 
2.5%
9 1
 
0.6%
ValueCountFrequency (%)
1341 1
0.6%
876 1
0.6%
651 1
0.6%
576 1
0.6%
560 1
0.6%
287 1
0.6%
257 1
0.6%
202 1
0.6%
198 1
0.6%
189 1
0.6%

부산 수영
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.04321
Minimum0
Maximum791
Zeros56
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:48.425195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314.75
95-th percentile137.35
Maximum791
Range791
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation115.98288
Coefficient of variation (CV)3.2178844
Kurtosis25.229245
Mean36.04321
Median Absolute Deviation (MAD)2
Skewness4.9040231
Sum5839
Variance13452.029
MonotonicityNot monotonic
2024-05-04T08:24:48.887241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 56
34.6%
1 18
 
11.1%
2 16
 
9.9%
3 8
 
4.9%
11 5
 
3.1%
10 4
 
2.5%
7 4
 
2.5%
5 3
 
1.9%
4 2
 
1.2%
20 2
 
1.2%
Other values (39) 44
27.2%
ValueCountFrequency (%)
0 56
34.6%
1 18
 
11.1%
2 16
 
9.9%
3 8
 
4.9%
4 2
 
1.2%
5 3
 
1.9%
6 2
 
1.2%
7 4
 
2.5%
8 2
 
1.2%
10 4
 
2.5%
ValueCountFrequency (%)
791 1
0.6%
741 1
0.6%
583 1
0.6%
572 1
0.6%
497 1
0.6%
260 1
0.6%
241 1
0.6%
149 1
0.6%
138 1
0.6%
125 1
0.6%

부산 사상
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.253086
Minimum0
Maximum1602
Zeros46
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:49.276664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q323.75
95-th percentile200.45
Maximum1602
Range1602
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation196.87103
Coefficient of variation (CV)3.4386099
Kurtosis35.895959
Mean57.253086
Median Absolute Deviation (MAD)4
Skewness5.7136396
Sum9275
Variance38758.203
MonotonicityNot monotonic
2024-05-04T08:24:49.919636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
28.4%
1 17
 
10.5%
2 9
 
5.6%
3 8
 
4.9%
7 5
 
3.1%
4 5
 
3.1%
8 4
 
2.5%
6 4
 
2.5%
10 3
 
1.9%
11 3
 
1.9%
Other values (49) 58
35.8%
ValueCountFrequency (%)
0 46
28.4%
1 17
 
10.5%
2 9
 
5.6%
3 8
 
4.9%
4 5
 
3.1%
5 2
 
1.2%
6 4
 
2.5%
7 5
 
3.1%
8 4
 
2.5%
10 3
 
1.9%
ValueCountFrequency (%)
1602 1
0.6%
1275 1
0.6%
1003 1
0.6%
750 1
0.6%
668 1
0.6%
362 1
0.6%
257 1
0.6%
226 1
0.6%
201 1
0.6%
190 1
0.6%

부산 기장군
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.611111
Minimum0
Maximum614
Zeros47
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:50.473598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile137.65
Maximum614
Range614
Interquartile range (IQR)15

Descriptive statistics

Standard deviation92.169992
Coefficient of variation (CV)3.0109979
Kurtosis25.216035
Mean30.611111
Median Absolute Deviation (MAD)3
Skewness4.8606314
Sum4959
Variance8495.3075
MonotonicityNot monotonic
2024-05-04T08:24:51.290612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 47
29.0%
1 17
 
10.5%
2 16
 
9.9%
3 11
 
6.8%
6 7
 
4.3%
5 6
 
3.7%
4 6
 
3.7%
15 4
 
2.5%
11 3
 
1.9%
56 2
 
1.2%
Other values (36) 43
26.5%
ValueCountFrequency (%)
0 47
29.0%
1 17
 
10.5%
2 16
 
9.9%
3 11
 
6.8%
4 6
 
3.7%
5 6
 
3.7%
6 7
 
4.3%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
614 1
0.6%
602 1
0.6%
527 1
0.6%
408 1
0.6%
359 1
0.6%
183 1
0.6%
157 1
0.6%
148 1
0.6%
138 1
0.6%
131 1
0.6%

대구 중구
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.691358
Minimum0
Maximum1109
Zeros52
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:52.042285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q313
95-th percentile212.4
Maximum1109
Range1109
Interquartile range (IQR)13

Descriptive statistics

Standard deviation149.48455
Coefficient of variation (CV)3.3448201
Kurtosis26.189381
Mean44.691358
Median Absolute Deviation (MAD)2.5
Skewness4.9183118
Sum7240
Variance22345.631
MonotonicityNot monotonic
2024-05-04T08:24:52.766751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 52
32.1%
1 21
13.0%
4 9
 
5.6%
2 8
 
4.9%
3 8
 
4.9%
7 4
 
2.5%
18 3
 
1.9%
13 3
 
1.9%
12 3
 
1.9%
9 3
 
1.9%
Other values (38) 48
29.6%
ValueCountFrequency (%)
0 52
32.1%
1 21
13.0%
2 8
 
4.9%
3 8
 
4.9%
4 9
 
5.6%
5 1
 
0.6%
6 2
 
1.2%
7 4
 
2.5%
8 2
 
1.2%
9 3
 
1.9%
ValueCountFrequency (%)
1109 1
0.6%
859 1
0.6%
802 1
0.6%
600 1
0.6%
549 1
0.6%
494 1
0.6%
329 1
0.6%
299 1
0.6%
214 1
0.6%
182 1
0.6%

대구 동구
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.154321
Minimum0
Maximum1687
Zeros42
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:53.407001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q323.75
95-th percentile375.95
Maximum1687
Range1687
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation234.98272
Coefficient of variation (CV)3.3024377
Kurtosis26.547141
Mean71.154321
Median Absolute Deviation (MAD)5
Skewness5.0108334
Sum11527
Variance55216.877
MonotonicityNot monotonic
2024-05-04T08:24:53.852246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
25.9%
1 18
 
11.1%
2 9
 
5.6%
6 8
 
4.9%
4 7
 
4.3%
9 5
 
3.1%
5 4
 
2.5%
47 4
 
2.5%
3 4
 
2.5%
12 4
 
2.5%
Other values (44) 57
35.2%
ValueCountFrequency (%)
0 42
25.9%
1 18
11.1%
2 9
 
5.6%
3 4
 
2.5%
4 7
 
4.3%
5 4
 
2.5%
6 8
 
4.9%
7 2
 
1.2%
8 3
 
1.9%
9 5
 
3.1%
ValueCountFrequency (%)
1687 1
0.6%
1401 1
0.6%
1262 1
0.6%
1179 1
0.6%
902 1
0.6%
450 1
0.6%
408 1
0.6%
389 1
0.6%
378 1
0.6%
337 1
0.6%

대구 서구
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.635802
Minimum0
Maximum1015
Zeros55
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:54.413162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317.5
95-th percentile161.85
Maximum1015
Range1015
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation155.9892
Coefficient of variation (CV)3.3448379
Kurtosis23.200895
Mean46.635802
Median Absolute Deviation (MAD)2
Skewness4.7622271
Sum7555
Variance24332.631
MonotonicityNot monotonic
2024-05-04T08:24:54.991412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 55
34.0%
2 16
 
9.9%
1 16
 
9.9%
3 7
 
4.3%
4 6
 
3.7%
5 5
 
3.1%
18 4
 
2.5%
6 3
 
1.9%
9 3
 
1.9%
13 3
 
1.9%
Other values (38) 44
27.2%
ValueCountFrequency (%)
0 55
34.0%
1 16
 
9.9%
2 16
 
9.9%
3 7
 
4.3%
4 6
 
3.7%
5 5
 
3.1%
6 3
 
1.9%
7 2
 
1.2%
8 1
 
0.6%
9 3
 
1.9%
ValueCountFrequency (%)
1015 1
0.6%
966 1
0.6%
802 1
0.6%
760 1
0.6%
704 1
0.6%
486 1
0.6%
305 1
0.6%
294 1
0.6%
162 1
0.6%
159 1
0.6%

대구 남구
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.611111
Minimum0
Maximum765
Zeros55
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:55.673786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q314.5
95-th percentile165.05
Maximum765
Range765
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation124.49033
Coefficient of variation (CV)3.3099348
Kurtosis22.170198
Mean37.611111
Median Absolute Deviation (MAD)1
Skewness4.7003172
Sum6093
Variance15497.842
MonotonicityNot monotonic
2024-05-04T08:24:56.245036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 55
34.0%
1 30
18.5%
2 7
 
4.3%
4 5
 
3.1%
5 5
 
3.1%
6 4
 
2.5%
3 4
 
2.5%
7 3
 
1.9%
16 3
 
1.9%
10 2
 
1.2%
Other values (38) 44
27.2%
ValueCountFrequency (%)
0 55
34.0%
1 30
18.5%
2 7
 
4.3%
3 4
 
2.5%
4 5
 
3.1%
5 5
 
3.1%
6 4
 
2.5%
7 3
 
1.9%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
765 1
0.6%
743 1
0.6%
677 1
0.6%
650 1
0.6%
574 1
0.6%
408 1
0.6%
242 1
0.6%
197 1
0.6%
168 1
0.6%
109 1
0.6%

대구 북구
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.783951
Minimum0
Maximum1945
Zeros40
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:56.812535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q327
95-th percentile356.25
Maximum1945
Range1945
Interquartile range (IQR)26

Descriptive statistics

Standard deviation278.48971
Coefficient of variation (CV)3.3640544
Kurtosis27.225017
Mean82.783951
Median Absolute Deviation (MAD)4
Skewness5.0984541
Sum13411
Variance77556.518
MonotonicityNot monotonic
2024-05-04T08:24:57.372608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
24.7%
1 16
 
9.9%
2 11
 
6.8%
3 8
 
4.9%
4 7
 
4.3%
9 6
 
3.7%
7 5
 
3.1%
5 4
 
2.5%
18 3
 
1.9%
22 3
 
1.9%
Other values (49) 59
36.4%
ValueCountFrequency (%)
0 40
24.7%
1 16
 
9.9%
2 11
 
6.8%
3 8
 
4.9%
4 7
 
4.3%
5 4
 
2.5%
6 3
 
1.9%
7 5
 
3.1%
8 1
 
0.6%
9 6
 
3.7%
ValueCountFrequency (%)
1945 1
0.6%
1733 1
0.6%
1634 1
0.6%
1232 1
0.6%
1127 1
0.6%
528 1
0.6%
466 1
0.6%
393 1
0.6%
358 1
0.6%
323 1
0.6%

대구 수성
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.882716
Minimum0
Maximum1939
Zeros38
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:57.910207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q327.5
95-th percentile263.6
Maximum1939
Range1939
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation246.33556
Coefficient of variation (CV)3.5249855
Kurtosis34.520559
Mean69.882716
Median Absolute Deviation (MAD)4
Skewness5.6456694
Sum11321
Variance60681.21
MonotonicityNot monotonic
2024-05-04T08:24:58.467923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
23.5%
1 18
 
11.1%
2 14
 
8.6%
3 10
 
6.2%
8 7
 
4.3%
4 6
 
3.7%
5 5
 
3.1%
15 3
 
1.9%
19 3
 
1.9%
6 3
 
1.9%
Other values (47) 55
34.0%
ValueCountFrequency (%)
0 38
23.5%
1 18
11.1%
2 14
 
8.6%
3 10
 
6.2%
4 6
 
3.7%
5 5
 
3.1%
6 3
 
1.9%
7 2
 
1.2%
8 7
 
4.3%
10 1
 
0.6%
ValueCountFrequency (%)
1939 1
0.6%
1652 1
0.6%
1246 1
0.6%
934 1
0.6%
903 1
0.6%
438 1
0.6%
411 1
0.6%
292 1
0.6%
268 1
0.6%
180 1
0.6%

대구 달서
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.91358
Minimum0
Maximum2556
Zeros37
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:24:59.025485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q338
95-th percentile476
Maximum2556
Range2556
Interquartile range (IQR)37

Descriptive statistics

Standard deviation376.98988
Coefficient of variation (CV)3.3989515
Kurtosis26.066871
Mean110.91358
Median Absolute Deviation (MAD)6
Skewness5.0479468
Sum17968
Variance142121.37
MonotonicityNot monotonic
2024-05-04T08:24:59.520716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
22.8%
1 11
 
6.8%
3 9
 
5.6%
2 8
 
4.9%
4 7
 
4.3%
6 6
 
3.7%
9 5
 
3.1%
5 5
 
3.1%
18 5
 
3.1%
7 4
 
2.5%
Other values (56) 65
40.1%
ValueCountFrequency (%)
0 37
22.8%
1 11
 
6.8%
2 8
 
4.9%
3 9
 
5.6%
4 7
 
4.3%
5 5
 
3.1%
6 6
 
3.7%
7 4
 
2.5%
8 1
 
0.6%
9 5
 
3.1%
ValueCountFrequency (%)
2556 1
0.6%
2328 1
0.6%
2033 1
0.6%
1942 1
0.6%
1691 1
0.6%
649 1
0.6%
616 1
0.6%
483 1
0.6%
480 1
0.6%
400 1
0.6%

대구 달성군
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.111111
Minimum0
Maximum761
Zeros48
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:00.062515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile131.45
Maximum761
Range761
Interquartile range (IQR)15

Descriptive statistics

Standard deviation100.66216
Coefficient of variation (CV)3.0401322
Kurtosis26.719467
Mean33.111111
Median Absolute Deviation (MAD)3
Skewness4.925811
Sum5364
Variance10132.87
MonotonicityNot monotonic
2024-05-04T08:25:00.675355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 48
29.6%
1 19
 
11.7%
2 10
 
6.2%
4 8
 
4.9%
3 6
 
3.7%
8 5
 
3.1%
10 5
 
3.1%
9 4
 
2.5%
17 3
 
1.9%
6 3
 
1.9%
Other values (37) 51
31.5%
ValueCountFrequency (%)
0 48
29.6%
1 19
 
11.7%
2 10
 
6.2%
3 6
 
3.7%
4 8
 
4.9%
5 3
 
1.9%
6 3
 
1.9%
7 1
 
0.6%
8 5
 
3.1%
9 4
 
2.5%
ValueCountFrequency (%)
761 1
0.6%
583 1
0.6%
493 1
0.6%
461 1
0.6%
409 1
0.6%
257 1
0.6%
192 1
0.6%
147 1
0.6%
132 1
0.6%
121 1
0.6%

인천 중구
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.271605
Minimum0
Maximum1309
Zeros31
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:01.185903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q326.5
95-th percentile226.3
Maximum1309
Range1309
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation154.2356
Coefficient of variation (CV)2.9506575
Kurtosis33.698328
Mean52.271605
Median Absolute Deviation (MAD)5
Skewness5.3297571
Sum8468
Variance23788.621
MonotonicityNot monotonic
2024-05-04T08:25:01.694179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
19.1%
1 26
16.0%
4 8
 
4.9%
3 7
 
4.3%
2 7
 
4.3%
5 7
 
4.3%
14 4
 
2.5%
16 3
 
1.9%
19 3
 
1.9%
15 3
 
1.9%
Other values (50) 63
38.9%
ValueCountFrequency (%)
0 31
19.1%
1 26
16.0%
2 7
 
4.3%
3 7
 
4.3%
4 8
 
4.9%
5 7
 
4.3%
6 3
 
1.9%
7 2
 
1.2%
9 1
 
0.6%
11 2
 
1.2%
ValueCountFrequency (%)
1309 1
0.6%
836 1
0.6%
684 1
0.6%
619 1
0.6%
558 1
0.6%
406 1
0.6%
319 1
0.6%
285 1
0.6%
227 1
0.6%
213 1
0.6%

인천 동구
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.166667
Minimum0
Maximum289
Zeros71
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:02.137491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile46
Maximum289
Range289
Interquartile range (IQR)5

Descriptive statistics

Standard deviation35.321637
Coefficient of variation (CV)3.1631316
Kurtosis36.90846
Mean11.166667
Median Absolute Deviation (MAD)1
Skewness5.7335749
Sum1809
Variance1247.618
MonotonicityNot monotonic
2024-05-04T08:25:02.568292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 71
43.8%
1 20
 
12.3%
2 11
 
6.8%
3 10
 
6.2%
4 6
 
3.7%
5 5
 
3.1%
9 5
 
3.1%
6 3
 
1.9%
21 2
 
1.2%
13 2
 
1.2%
Other values (23) 27
 
16.7%
ValueCountFrequency (%)
0 71
43.8%
1 20
 
12.3%
2 11
 
6.8%
3 10
 
6.2%
4 6
 
3.7%
5 5
 
3.1%
6 3
 
1.9%
8 1
 
0.6%
9 5
 
3.1%
10 2
 
1.2%
ValueCountFrequency (%)
289 1
0.6%
236 1
0.6%
186 1
0.6%
124 1
0.6%
82 1
0.6%
49 2
1.2%
47 1
0.6%
46 2
1.2%
44 1
0.6%
43 1
0.6%

인천 서구
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.20988
Minimum0
Maximum2146
Zeros31
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:03.077724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q347.25
95-th percentile524.85
Maximum2146
Range2146
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation304.46965
Coefficient of variation (CV)2.9216967
Kurtosis24.084995
Mean104.20988
Median Absolute Deviation (MAD)8
Skewness4.6928878
Sum16882
Variance92701.769
MonotonicityNot monotonic
2024-05-04T08:25:03.529225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
19.1%
1 14
 
8.6%
2 10
 
6.2%
4 8
 
4.9%
3 7
 
4.3%
9 6
 
3.7%
8 6
 
3.7%
14 5
 
3.1%
5 3
 
1.9%
32 3
 
1.9%
Other values (64) 69
42.6%
ValueCountFrequency (%)
0 31
19.1%
1 14
8.6%
2 10
 
6.2%
3 7
 
4.3%
4 8
 
4.9%
5 3
 
1.9%
6 2
 
1.2%
7 1
 
0.6%
8 6
 
3.7%
9 6
 
3.7%
ValueCountFrequency (%)
2146 1
0.6%
1802 1
0.6%
1755 1
0.6%
1201 1
0.6%
1119 1
0.6%
887 1
0.6%
556 1
0.6%
536 1
0.6%
525 1
0.6%
522 1
0.6%

인천 미추홀
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.54321
Minimum0
Maximum2161
Zeros33
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:03.950294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q346.25
95-th percentile537.5
Maximum2161
Range2161
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation323.45611
Coefficient of variation (CV)2.9527718
Kurtosis22.619843
Mean109.54321
Median Absolute Deviation (MAD)7
Skewness4.5865183
Sum17746
Variance104623.85
MonotonicityNot monotonic
2024-05-04T08:25:04.470262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
20.4%
1 14
 
8.6%
2 11
 
6.8%
4 7
 
4.3%
5 6
 
3.7%
6 5
 
3.1%
8 5
 
3.1%
3 4
 
2.5%
7 3
 
1.9%
23 3
 
1.9%
Other values (60) 71
43.8%
ValueCountFrequency (%)
0 33
20.4%
1 14
8.6%
2 11
 
6.8%
3 4
 
2.5%
4 7
 
4.3%
5 6
 
3.7%
6 5
 
3.1%
7 3
 
1.9%
8 5
 
3.1%
9 2
 
1.2%
ValueCountFrequency (%)
2161 1
0.6%
2062 1
0.6%
1639 1
0.6%
1447 1
0.6%
1304 1
0.6%
805 1
0.6%
763 1
0.6%
717 1
0.6%
540 1
0.6%
490 1
0.6%

인천 연수
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.17284
Minimum0
Maximum1241
Zeros37
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:04.888799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q322
95-th percentile235.7
Maximum1241
Range1241
Interquartile range (IQR)21

Descriptive statistics

Standard deviation165.63721
Coefficient of variation (CV)3.1150717
Kurtosis25.689975
Mean53.17284
Median Absolute Deviation (MAD)4
Skewness4.8456018
Sum8614
Variance27435.684
MonotonicityNot monotonic
2024-05-04T08:25:05.625399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
22.8%
1 22
13.6%
2 15
 
9.3%
4 8
 
4.9%
5 6
 
3.7%
3 6
 
3.7%
6 5
 
3.1%
8 4
 
2.5%
7 3
 
1.9%
11 3
 
1.9%
Other values (44) 53
32.7%
ValueCountFrequency (%)
0 37
22.8%
1 22
13.6%
2 15
9.3%
3 6
 
3.7%
4 8
 
4.9%
5 6
 
3.7%
6 5
 
3.1%
7 3
 
1.9%
8 4
 
2.5%
9 2
 
1.2%
ValueCountFrequency (%)
1241 1
0.6%
877 1
0.6%
845 1
0.6%
840 1
0.6%
558 1
0.6%
503 1
0.6%
394 1
0.6%
326 1
0.6%
237 1
0.6%
211 1
0.6%

인천 남동
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.9321
Minimum0
Maximum2540
Zeros29
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:06.172646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6.5
Q348.25
95-th percentile526.9
Maximum2540
Range2540
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation332.25307
Coefficient of variation (CV)3.0783527
Kurtosis28.709739
Mean107.9321
Median Absolute Deviation (MAD)6.5
Skewness5.0685362
Sum17485
Variance110392.1
MonotonicityNot monotonic
2024-05-04T08:25:06.674221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
17.9%
2 14
 
8.6%
3 10
 
6.2%
5 10
 
6.2%
1 8
 
4.9%
4 5
 
3.1%
6 5
 
3.1%
26 4
 
2.5%
11 4
 
2.5%
13 3
 
1.9%
Other values (57) 70
43.2%
ValueCountFrequency (%)
0 29
17.9%
1 8
 
4.9%
2 14
8.6%
3 10
 
6.2%
4 5
 
3.1%
5 10
 
6.2%
6 5
 
3.1%
7 1
 
0.6%
9 2
 
1.2%
10 2
 
1.2%
ValueCountFrequency (%)
2540 1
0.6%
2109 1
0.6%
1583 1
0.6%
1309 1
0.6%
1259 1
0.6%
749 1
0.6%
704 1
0.6%
635 1
0.6%
530 1
0.6%
468 1
0.6%

인천 부평
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.2963
Minimum0
Maximum2839
Zeros32
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:07.156045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q350.75
95-th percentile525.75
Maximum2839
Range2839
Interquartile range (IQR)49.75

Descriptive statistics

Standard deviation387.93441
Coefficient of variation (CV)3.3357417
Kurtosis28.696339
Mean116.2963
Median Absolute Deviation (MAD)7
Skewness5.204426
Sum18840
Variance150493.1
MonotonicityNot monotonic
2024-05-04T08:25:07.706134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
19.8%
1 16
 
9.9%
2 11
 
6.8%
3 8
 
4.9%
4 6
 
3.7%
8 6
 
3.7%
5 4
 
2.5%
7 4
 
2.5%
9 3
 
1.9%
18 3
 
1.9%
Other values (56) 69
42.6%
ValueCountFrequency (%)
0 32
19.8%
1 16
9.9%
2 11
 
6.8%
3 8
 
4.9%
4 6
 
3.7%
5 4
 
2.5%
6 3
 
1.9%
7 4
 
2.5%
8 6
 
3.7%
9 3
 
1.9%
ValueCountFrequency (%)
2839 1
0.6%
2282 1
0.6%
2164 1
0.6%
2107 1
0.6%
1092 1
0.6%
729 1
0.6%
720 1
0.6%
579 1
0.6%
528 1
0.6%
483 1
0.6%

인천 계양
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.240741
Minimum0
Maximum1267
Zeros40
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:08.181137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q328
95-th percentile234.8
Maximum1267
Range1267
Interquartile range (IQR)27

Descriptive statistics

Standard deviation174.57625
Coefficient of variation (CV)3.1602808
Kurtosis28.97982
Mean55.240741
Median Absolute Deviation (MAD)4
Skewness5.1662474
Sum8949
Variance30476.867
MonotonicityNot monotonic
2024-05-04T08:25:08.798098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
24.7%
1 17
 
10.5%
2 13
 
8.0%
3 7
 
4.3%
7 7
 
4.3%
4 6
 
3.7%
9 5
 
3.1%
28 4
 
2.5%
6 4
 
2.5%
10 3
 
1.9%
Other values (47) 56
34.6%
ValueCountFrequency (%)
0 40
24.7%
1 17
10.5%
2 13
 
8.0%
3 7
 
4.3%
4 6
 
3.7%
5 2
 
1.2%
6 4
 
2.5%
7 7
 
4.3%
8 3
 
1.9%
9 5
 
3.1%
ValueCountFrequency (%)
1267 1
0.6%
1189 1
0.6%
824 1
0.6%
813 1
0.6%
633 1
0.6%
341 1
0.6%
303 1
0.6%
291 1
0.6%
237 1
0.6%
193 1
0.6%

인천 강화군
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.716049
Minimum0
Maximum329
Zeros65
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:09.252150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36.75
95-th percentile50.65
Maximum329
Range329
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation38.632119
Coefficient of variation (CV)3.0380598
Kurtosis35.359035
Mean12.716049
Median Absolute Deviation (MAD)2
Skewness5.5119187
Sum2060
Variance1492.4406
MonotonicityNot monotonic
2024-05-04T08:25:09.668914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 65
40.1%
3 14
 
8.6%
1 14
 
8.6%
2 14
 
8.6%
6 6
 
3.7%
4 5
 
3.1%
7 4
 
2.5%
10 3
 
1.9%
13 3
 
1.9%
32 3
 
1.9%
Other values (24) 31
19.1%
ValueCountFrequency (%)
0 65
40.1%
1 14
 
8.6%
2 14
 
8.6%
3 14
 
8.6%
4 5
 
3.1%
5 3
 
1.9%
6 6
 
3.7%
7 4
 
2.5%
8 1
 
0.6%
9 3
 
1.9%
ValueCountFrequency (%)
329 1
0.6%
205 1
0.6%
190 1
0.6%
180 1
0.6%
102 1
0.6%
86 1
0.6%
81 1
0.6%
60 1
0.6%
51 1
0.6%
44 1
0.6%

인천 옹진군
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.104938
Minimum0
Maximum1558
Zeros93
Zeros (%)57.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:10.094219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile24
Maximum1558
Range1558
Interquartile range (IQR)2

Descriptive statistics

Standard deviation139.48902
Coefficient of variation (CV)7.3012025
Kurtosis101.00618
Mean19.104938
Median Absolute Deviation (MAD)0
Skewness9.8261218
Sum3095
Variance19457.188
MonotonicityNot monotonic
2024-05-04T08:25:10.566085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 93
57.4%
1 20
 
12.3%
2 11
 
6.8%
3 6
 
3.7%
11 4
 
2.5%
18 3
 
1.9%
6 3
 
1.9%
22 2
 
1.2%
4 2
 
1.2%
15 2
 
1.2%
Other values (14) 16
 
9.9%
ValueCountFrequency (%)
0 93
57.4%
1 20
 
12.3%
2 11
 
6.8%
3 6
 
3.7%
4 2
 
1.2%
5 2
 
1.2%
6 3
 
1.9%
7 1
 
0.6%
9 1
 
0.6%
11 4
 
2.5%
ValueCountFrequency (%)
1558 1
0.6%
861 1
0.6%
73 1
0.6%
72 1
0.6%
61 1
0.6%
43 1
0.6%
34 1
0.6%
26 1
0.6%
24 2
1.2%
23 1
0.6%

광주 동구
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.469136
Minimum0
Maximum984
Zeros50
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:10.931980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile128.45
Maximum984
Range984
Interquartile range (IQR)14

Descriptive statistics

Standard deviation119.94979
Coefficient of variation (CV)3.2890769
Kurtosis32.546792
Mean36.469136
Median Absolute Deviation (MAD)3
Skewness5.3783794
Sum5908
Variance14387.952
MonotonicityNot monotonic
2024-05-04T08:25:11.462334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 50
30.9%
1 16
 
9.9%
2 14
 
8.6%
3 11
 
6.8%
4 6
 
3.7%
5 5
 
3.1%
7 5
 
3.1%
14 5
 
3.1%
15 4
 
2.5%
13 3
 
1.9%
Other values (35) 43
26.5%
ValueCountFrequency (%)
0 50
30.9%
1 16
 
9.9%
2 14
 
8.6%
3 11
 
6.8%
4 6
 
3.7%
5 5
 
3.1%
6 2
 
1.2%
7 5
 
3.1%
8 1
 
0.6%
9 2
 
1.2%
ValueCountFrequency (%)
984 1
0.6%
633 1
0.6%
624 1
0.6%
506 1
0.6%
476 1
0.6%
280 1
0.6%
211 1
0.6%
192 1
0.6%
129 1
0.6%
118 1
0.6%

광주 서구
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.654321
Minimum0
Maximum1686
Zeros44
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:12.061713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q322.25
95-th percentile338.05
Maximum1686
Range1686
Interquartile range (IQR)22.25

Descriptive statistics

Standard deviation278.30126
Coefficient of variation (CV)3.4082858
Kurtosis22.856695
Mean81.654321
Median Absolute Deviation (MAD)5
Skewness4.7767751
Sum13228
Variance77451.594
MonotonicityNot monotonic
2024-05-04T08:25:12.746080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
27.2%
1 9
 
5.6%
3 8
 
4.9%
7 8
 
4.9%
4 8
 
4.9%
2 8
 
4.9%
5 7
 
4.3%
6 5
 
3.1%
18 4
 
2.5%
13 3
 
1.9%
Other values (48) 58
35.8%
ValueCountFrequency (%)
0 44
27.2%
1 9
 
5.6%
2 8
 
4.9%
3 8
 
4.9%
4 8
 
4.9%
5 7
 
4.3%
6 5
 
3.1%
7 8
 
4.9%
8 2
 
1.2%
9 3
 
1.9%
ValueCountFrequency (%)
1686 1
0.6%
1618 1
0.6%
1611 1
0.6%
1536 1
0.6%
1152 1
0.6%
974 1
0.6%
351 1
0.6%
344 1
0.6%
340 1
0.6%
301 1
0.6%

광주 남구
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.734568
Minimum0
Maximum761
Zeros53
Zeros (%)32.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:13.373073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310.75
95-th percentile128
Maximum761
Range761
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation118.34751
Coefficient of variation (CV)3.5081971
Kurtosis24.818568
Mean33.734568
Median Absolute Deviation (MAD)2
Skewness4.9465517
Sum5465
Variance14006.134
MonotonicityNot monotonic
2024-05-04T08:25:13.917681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 53
32.7%
1 21
 
13.0%
2 14
 
8.6%
3 7
 
4.3%
5 7
 
4.3%
6 6
 
3.7%
4 6
 
3.7%
14 6
 
3.7%
8 3
 
1.9%
10 2
 
1.2%
Other values (36) 37
22.8%
ValueCountFrequency (%)
0 53
32.7%
1 21
 
13.0%
2 14
 
8.6%
3 7
 
4.3%
4 6
 
3.7%
5 7
 
4.3%
6 6
 
3.7%
7 1
 
0.6%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
761 1
0.6%
727 1
0.6%
701 1
0.6%
572 1
0.6%
487 1
0.6%
364 1
0.6%
189 1
0.6%
167 1
0.6%
129 1
0.6%
109 1
0.6%

광주 북구
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.148148
Minimum0
Maximum1958
Zeros40
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:14.542921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q325.5
95-th percentile328.85
Maximum1958
Range1958
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation306.52466
Coefficient of variation (CV)3.4773806
Kurtosis23.841352
Mean88.148148
Median Absolute Deviation (MAD)4
Skewness4.8621402
Sum14280
Variance93957.369
MonotonicityNot monotonic
2024-05-04T08:25:15.006826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
24.7%
3 14
 
8.6%
1 13
 
8.0%
5 12
 
7.4%
2 10
 
6.2%
4 6
 
3.7%
8 5
 
3.1%
7 4
 
2.5%
52 3
 
1.9%
12 2
 
1.2%
Other values (48) 53
32.7%
ValueCountFrequency (%)
0 40
24.7%
1 13
 
8.0%
2 10
 
6.2%
3 14
 
8.6%
4 6
 
3.7%
5 12
 
7.4%
6 1
 
0.6%
7 4
 
2.5%
8 5
 
3.1%
11 2
 
1.2%
ValueCountFrequency (%)
1958 1
0.6%
1922 1
0.6%
1606 1
0.6%
1551 1
0.6%
1326 1
0.6%
1097 1
0.6%
366 1
0.6%
364 1
0.6%
331 1
0.6%
288 1
0.6%

광주 광산
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.777778
Minimum0
Maximum1799
Zeros44
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:15.481503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q320.75
95-th percentile316
Maximum1799
Range1799
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation274.04082
Coefficient of variation (CV)3.4350521
Kurtosis25.78185
Mean79.777778
Median Absolute Deviation (MAD)5.5
Skewness4.9892798
Sum12924
Variance75098.373
MonotonicityNot monotonic
2024-05-04T08:25:15.908167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
27.2%
1 13
 
8.0%
3 9
 
5.6%
2 8
 
4.9%
7 5
 
3.1%
4 5
 
3.1%
9 5
 
3.1%
12 4
 
2.5%
6 3
 
1.9%
19 3
 
1.9%
Other values (48) 63
38.9%
ValueCountFrequency (%)
0 44
27.2%
1 13
 
8.0%
2 8
 
4.9%
3 9
 
5.6%
4 5
 
3.1%
5 2
 
1.2%
6 3
 
1.9%
7 5
 
3.1%
8 2
 
1.2%
9 5
 
3.1%
ValueCountFrequency (%)
1799 1
0.6%
1729 1
0.6%
1678 1
0.6%
1091 1
0.6%
1067 1
0.6%
937 1
0.6%
407 1
0.6%
393 1
0.6%
316 2
1.2%
255 1
0.6%

대전 중구
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.765432
Minimum0
Maximum1383
Zeros48
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:16.433560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321.5
95-th percentile197.85
Maximum1383
Range1383
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation210.25378
Coefficient of variation (CV)3.577848
Kurtosis26.245345
Mean58.765432
Median Absolute Deviation (MAD)4
Skewness5.1235458
Sum9520
Variance44206.653
MonotonicityNot monotonic
2024-05-04T08:25:16.919563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
29.6%
1 12
 
7.4%
3 10
 
6.2%
2 10
 
6.2%
4 10
 
6.2%
13 5
 
3.1%
5 5
 
3.1%
12 3
 
1.9%
6 3
 
1.9%
8 3
 
1.9%
Other values (46) 53
32.7%
ValueCountFrequency (%)
0 48
29.6%
1 12
 
7.4%
2 10
 
6.2%
3 10
 
6.2%
4 10
 
6.2%
5 5
 
3.1%
6 3
 
1.9%
7 2
 
1.2%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
1383 1
0.6%
1288 1
0.6%
1150 1
0.6%
1098 1
0.6%
1040 1
0.6%
351 1
0.6%
272 1
0.6%
236 1
0.6%
199 1
0.6%
176 1
0.6%

대전 동구
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.561728
Minimum0
Maximum1305
Zeros49
Zeros (%)30.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:17.358999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q316.75
95-th percentile201.6
Maximum1305
Range1305
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation192.14361
Coefficient of variation (CV)3.5873303
Kurtosis27.075352
Mean53.561728
Median Absolute Deviation (MAD)2.5
Skewness5.1712682
Sum8677
Variance36919.167
MonotonicityNot monotonic
2024-05-04T08:25:17.886342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
30.2%
1 25
15.4%
2 7
 
4.3%
4 7
 
4.3%
6 6
 
3.7%
7 5
 
3.1%
9 4
 
2.5%
5 4
 
2.5%
3 4
 
2.5%
29 3
 
1.9%
Other values (42) 48
29.6%
ValueCountFrequency (%)
0 49
30.2%
1 25
15.4%
2 7
 
4.3%
3 4
 
2.5%
4 7
 
4.3%
5 4
 
2.5%
6 6
 
3.7%
7 5
 
3.1%
8 1
 
0.6%
9 4
 
2.5%
ValueCountFrequency (%)
1305 1
0.6%
1210 1
0.6%
1025 1
0.6%
962 1
0.6%
914 1
0.6%
329 1
0.6%
237 1
0.6%
233 1
0.6%
204 1
0.6%
156 1
0.6%

대전 서구
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.38272
Minimum0
Maximum2399
Zeros34
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:18.414655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q340.25
95-th percentile339.9
Maximum2399
Range2399
Interquartile range (IQR)39.25

Descriptive statistics

Standard deviation362.87135
Coefficient of variation (CV)3.5442638
Kurtosis27.405801
Mean102.38272
Median Absolute Deviation (MAD)7
Skewness5.226158
Sum16586
Variance131675.62
MonotonicityNot monotonic
2024-05-04T08:25:19.040379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
21.0%
1 17
 
10.5%
2 8
 
4.9%
5 7
 
4.3%
7 7
 
4.3%
3 7
 
4.3%
12 4
 
2.5%
8 4
 
2.5%
6 4
 
2.5%
13 3
 
1.9%
Other values (56) 67
41.4%
ValueCountFrequency (%)
0 34
21.0%
1 17
10.5%
2 8
 
4.9%
3 7
 
4.3%
4 3
 
1.9%
5 7
 
4.3%
6 4
 
2.5%
7 7
 
4.3%
8 4
 
2.5%
9 2
 
1.2%
ValueCountFrequency (%)
2399 1
0.6%
2339 1
0.6%
1940 1
0.6%
1922 1
0.6%
1709 1
0.6%
476 1
0.6%
398 1
0.6%
393 1
0.6%
341 1
0.6%
319 1
0.6%

대전 유성
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.098765
Minimum0
Maximum1769
Zeros37
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:19.487702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q324.75
95-th percentile196.2
Maximum1769
Range1769
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation209.40087
Coefficient of variation (CV)3.6042223
Kurtosis37.516654
Mean58.098765
Median Absolute Deviation (MAD)4
Skewness5.8493149
Sum9412
Variance43848.723
MonotonicityNot monotonic
2024-05-04T08:25:20.446286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
22.8%
2 17
 
10.5%
1 14
 
8.6%
3 9
 
5.6%
4 8
 
4.9%
6 7
 
4.3%
5 7
 
4.3%
7 3
 
1.9%
11 3
 
1.9%
14 3
 
1.9%
Other values (50) 54
33.3%
ValueCountFrequency (%)
0 37
22.8%
1 14
 
8.6%
2 17
10.5%
3 9
 
5.6%
4 8
 
4.9%
5 7
 
4.3%
6 7
 
4.3%
7 3
 
1.9%
8 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
1769 1
0.6%
1181 1
0.6%
1077 1
0.6%
925 1
0.6%
794 1
0.6%
279 1
0.6%
252 1
0.6%
203 1
0.6%
197 1
0.6%
181 1
0.6%

대전 대덕
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.333333
Minimum0
Maximum1149
Zeros51
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:21.153130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile125.95
Maximum1149
Range1149
Interquartile range (IQR)12

Descriptive statistics

Standard deviation145.20091
Coefficient of variation (CV)3.6915486
Kurtosis32.984376
Mean39.333333
Median Absolute Deviation (MAD)2
Skewness5.5824002
Sum6372
Variance21083.304
MonotonicityNot monotonic
2024-05-04T08:25:21.796268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 51
31.5%
1 17
 
10.5%
2 16
 
9.9%
3 10
 
6.2%
5 5
 
3.1%
9 4
 
2.5%
7 4
 
2.5%
4 4
 
2.5%
39 3
 
1.9%
22 3
 
1.9%
Other values (32) 45
27.8%
ValueCountFrequency (%)
0 51
31.5%
1 17
 
10.5%
2 16
 
9.9%
3 10
 
6.2%
4 4
 
2.5%
5 5
 
3.1%
6 3
 
1.9%
7 4
 
2.5%
8 2
 
1.2%
9 4
 
2.5%
ValueCountFrequency (%)
1149 1
0.6%
814 1
0.6%
769 1
0.6%
750 1
0.6%
550 1
0.6%
216 1
0.6%
195 1
0.6%
133 1
0.6%
126 1
0.6%
125 1
0.6%

울산 중구
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.407407
Minimum0
Maximum1031
Zeros57
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:22.405548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313.75
95-th percentile252.8
Maximum1031
Range1031
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation140.34078
Coefficient of variation (CV)3.1603012
Kurtosis23.775778
Mean44.407407
Median Absolute Deviation (MAD)2
Skewness4.6772227
Sum7194
Variance19695.535
MonotonicityNot monotonic
2024-05-04T08:25:22.957819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
35.2%
1 19
 
11.7%
2 11
 
6.8%
4 8
 
4.9%
3 7
 
4.3%
9 5
 
3.1%
7 4
 
2.5%
15 3
 
1.9%
5 2
 
1.2%
8 2
 
1.2%
Other values (40) 44
27.2%
ValueCountFrequency (%)
0 57
35.2%
1 19
 
11.7%
2 11
 
6.8%
3 7
 
4.3%
4 8
 
4.9%
5 2
 
1.2%
6 2
 
1.2%
7 4
 
2.5%
8 2
 
1.2%
9 5
 
3.1%
ValueCountFrequency (%)
1031 1
0.6%
737 1
0.6%
690 1
0.6%
673 1
0.6%
532 1
0.6%
477 1
0.6%
359 1
0.6%
273 1
0.6%
257 1
0.6%
173 1
0.6%

울산 동구
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.728395
Minimum0
Maximum777
Zeros64
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:23.503087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310.75
95-th percentile132.65
Maximum777
Range777
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation106.88108
Coefficient of variation (CV)3.2656988
Kurtosis26.213324
Mean32.728395
Median Absolute Deviation (MAD)2
Skewness4.9623517
Sum5302
Variance11423.566
MonotonicityNot monotonic
2024-05-04T08:25:23.963468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 64
39.5%
2 17
 
10.5%
1 15
 
9.3%
3 8
 
4.9%
6 5
 
3.1%
4 4
 
2.5%
7 3
 
1.9%
5 3
 
1.9%
21 2
 
1.2%
39 2
 
1.2%
Other values (38) 39
24.1%
ValueCountFrequency (%)
0 64
39.5%
1 15
 
9.3%
2 17
 
10.5%
3 8
 
4.9%
4 4
 
2.5%
5 3
 
1.9%
6 5
 
3.1%
7 3
 
1.9%
8 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
777 1
0.6%
601 1
0.6%
584 1
0.6%
536 1
0.6%
414 1
0.6%
236 1
0.6%
207 1
0.6%
195 1
0.6%
133 1
0.6%
126 1
0.6%

울산 남구
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.216049
Minimum0
Maximum1979
Zeros29
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:24.394511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q334
95-th percentile311
Maximum1979
Range1979
Interquartile range (IQR)33

Descriptive statistics

Standard deviation284.19908
Coefficient of variation (CV)3.3350417
Kurtosis27.809357
Mean85.216049
Median Absolute Deviation (MAD)6
Skewness5.165032
Sum13805
Variance80769.115
MonotonicityNot monotonic
2024-05-04T08:25:24.991587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
17.9%
1 13
 
8.0%
2 12
 
7.4%
5 9
 
5.6%
3 8
 
4.9%
4 7
 
4.3%
6 6
 
3.7%
11 5
 
3.1%
13 5
 
3.1%
14 5
 
3.1%
Other values (51) 63
38.9%
ValueCountFrequency (%)
0 29
17.9%
1 13
8.0%
2 12
7.4%
3 8
 
4.9%
4 7
 
4.3%
5 9
 
5.6%
6 6
 
3.7%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
1979 1
0.6%
1812 1
0.6%
1668 1
0.6%
1234 1
0.6%
1167 1
0.6%
568 1
0.6%
431 1
0.6%
413 1
0.6%
311 2
1.2%
259 1
0.6%

울산 북구
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.567901
Minimum0
Maximum673
Zeros56
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:25.500917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38.75
95-th percentile151.85
Maximum673
Range673
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation94.001974
Coefficient of variation (CV)3.1791899
Kurtosis25.10229
Mean29.567901
Median Absolute Deviation (MAD)2
Skewness4.8155717
Sum4790
Variance8836.3711
MonotonicityNot monotonic
2024-05-04T08:25:26.000360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 56
34.6%
1 23
14.2%
2 13
 
8.0%
3 9
 
5.6%
4 8
 
4.9%
6 6
 
3.7%
5 3
 
1.9%
12 2
 
1.2%
16 2
 
1.2%
28 2
 
1.2%
Other values (31) 38
23.5%
ValueCountFrequency (%)
0 56
34.6%
1 23
14.2%
2 13
 
8.0%
3 9
 
5.6%
4 8
 
4.9%
5 3
 
1.9%
6 6
 
3.7%
7 1
 
0.6%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
673 1
0.6%
571 1
0.6%
500 1
0.6%
391 1
0.6%
374 1
0.6%
237 1
0.6%
193 1
0.6%
161 1
0.6%
152 1
0.6%
149 1
0.6%

울산 울주군
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.438272
Minimum0
Maximum1071
Zeros39
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:26.569985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q318.75
95-th percentile300.95
Maximum1071
Range1071
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation170.63134
Coefficient of variation (CV)3.1344004
Kurtosis21.295517
Mean54.438272
Median Absolute Deviation (MAD)4
Skewness4.5214795
Sum8819
Variance29115.055
MonotonicityNot monotonic
2024-05-04T08:25:27.050653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
24.1%
2 16
 
9.9%
4 10
 
6.2%
3 9
 
5.6%
1 9
 
5.6%
5 9
 
5.6%
6 6
 
3.7%
12 4
 
2.5%
8 4
 
2.5%
10 3
 
1.9%
Other values (46) 53
32.7%
ValueCountFrequency (%)
0 39
24.1%
1 9
 
5.6%
2 16
9.9%
3 9
 
5.6%
4 10
 
6.2%
5 9
 
5.6%
6 6
 
3.7%
7 2
 
1.2%
8 4
 
2.5%
9 1
 
0.6%
ValueCountFrequency (%)
1071 1
0.6%
1058 1
0.6%
952 1
0.6%
723 1
0.6%
668 1
0.6%
623 1
0.6%
376 1
0.6%
330 1
0.6%
304 1
0.6%
243 1
0.6%

부천
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.97531
Minimum0
Maximum5248
Zeros24
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:27.509641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median12
Q373.75
95-th percentile1006.7
Maximum5248
Range5248
Interquartile range (IQR)71.5

Descriptive statistics

Standard deviation674.03179
Coefficient of variation (CV)3.288356
Kurtosis30.0177
Mean204.97531
Median Absolute Deviation (MAD)12
Skewness5.2223403
Sum33206
Variance454318.86
MonotonicityNot monotonic
2024-05-04T08:25:28.010866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
14.8%
1 10
 
6.2%
4 9
 
5.6%
2 7
 
4.3%
6 6
 
3.7%
10 5
 
3.1%
3 5
 
3.1%
8 4
 
2.5%
13 4
 
2.5%
30 3
 
1.9%
Other values (68) 85
52.5%
ValueCountFrequency (%)
0 24
14.8%
1 10
6.2%
2 7
 
4.3%
3 5
 
3.1%
4 9
 
5.6%
5 3
 
1.9%
6 6
 
3.7%
7 3
 
1.9%
8 4
 
2.5%
9 1
 
0.6%
ValueCountFrequency (%)
5248 1
0.6%
4082 1
0.6%
3269 1
0.6%
2945 1
0.6%
2689 1
0.6%
1218 1
0.6%
1168 1
0.6%
1093 1
0.6%
1012 1
0.6%
906 1
0.6%

수원
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292.67901
Minimum0
Maximum6456
Zeros26
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:28.469987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q395.75
95-th percentile1555.45
Maximum6456
Range6456
Interquartile range (IQR)92.75

Descriptive statistics

Standard deviation954.41624
Coefficient of variation (CV)3.2609658
Kurtosis23.366986
Mean292.67901
Median Absolute Deviation (MAD)15
Skewness4.7490057
Sum47414
Variance910910.37
MonotonicityNot monotonic
2024-05-04T08:25:28.974998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
16.0%
1 9
 
5.6%
3 7
 
4.3%
13 7
 
4.3%
6 7
 
4.3%
4 6
 
3.7%
5 4
 
2.5%
2 3
 
1.9%
8 3
 
1.9%
10 3
 
1.9%
Other values (76) 87
53.7%
ValueCountFrequency (%)
0 26
16.0%
1 9
 
5.6%
2 3
 
1.9%
3 7
 
4.3%
4 6
 
3.7%
5 4
 
2.5%
6 7
 
4.3%
7 1
 
0.6%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
6456 1
0.6%
5509 1
0.6%
5075 1
0.6%
4659 1
0.6%
4464 1
0.6%
2075 1
0.6%
1937 1
0.6%
1832 1
0.6%
1565 1
0.6%
1374 1
0.6%

성남
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.94444
Minimum0
Maximum3796
Zeros27
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:29.457640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median11
Q382.5
95-th percentile923
Maximum3796
Range3796
Interquartile range (IQR)80.25

Descriptive statistics

Standard deviation605.41405
Coefficient of variation (CV)3.0431312
Kurtosis21.748643
Mean198.94444
Median Absolute Deviation (MAD)11
Skewness4.5998118
Sum32229
Variance366526.18
MonotonicityNot monotonic
2024-05-04T08:25:30.192138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
16.7%
2 8
 
4.9%
7 7
 
4.3%
6 7
 
4.3%
4 6
 
3.7%
1 6
 
3.7%
3 5
 
3.1%
9 4
 
2.5%
11 4
 
2.5%
8 3
 
1.9%
Other values (71) 85
52.5%
ValueCountFrequency (%)
0 27
16.7%
1 6
 
3.7%
2 8
 
4.9%
3 5
 
3.1%
4 6
 
3.7%
5 2
 
1.2%
6 7
 
4.3%
7 7
 
4.3%
8 3
 
1.9%
9 4
 
2.5%
ValueCountFrequency (%)
3796 1
0.6%
3458 1
0.6%
3296 1
0.6%
3136 1
0.6%
3066 1
0.6%
1091 1
0.6%
1085 1
0.6%
989 1
0.6%
925 1
0.6%
885 1
0.6%

전주
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.2963
Minimum0
Maximum2916
Zeros34
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:30.683031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q350
95-th percentile500.2
Maximum2916
Range2916
Interquartile range (IQR)49

Descriptive statistics

Standard deviation397.34913
Coefficient of variation (CV)3.2758555
Kurtosis27.66233
Mean121.2963
Median Absolute Deviation (MAD)9
Skewness5.1175425
Sum19650
Variance157886.33
MonotonicityNot monotonic
2024-05-04T08:25:31.214621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
21.0%
1 13
 
8.0%
2 7
 
4.3%
4 7
 
4.3%
11 5
 
3.1%
7 5
 
3.1%
5 4
 
2.5%
14 4
 
2.5%
9 4
 
2.5%
12 4
 
2.5%
Other values (59) 75
46.3%
ValueCountFrequency (%)
0 34
21.0%
1 13
 
8.0%
2 7
 
4.3%
3 3
 
1.9%
4 7
 
4.3%
5 4
 
2.5%
6 3
 
1.9%
7 5
 
3.1%
8 3
 
1.9%
9 4
 
2.5%
ValueCountFrequency (%)
2916 1
0.6%
2389 1
0.6%
2013 1
0.6%
1954 1
0.6%
1748 1
0.6%
653 1
0.6%
576 1
0.6%
562 1
0.6%
501 1
0.6%
485 1
0.6%

안양
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.04938
Minimum0
Maximum2288
Zeros37
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:31.695489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q355.5
95-th percentile501.75
Maximum2288
Range2288
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation349.53618
Coefficient of variation (CV)3.0381404
Kurtosis23.484744
Mean115.04938
Median Absolute Deviation (MAD)8
Skewness4.7025591
Sum18638
Variance122175.54
MonotonicityNot monotonic
2024-05-04T08:25:32.176887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
22.8%
1 15
 
9.3%
4 7
 
4.3%
8 7
 
4.3%
3 6
 
3.7%
2 6
 
3.7%
7 5
 
3.1%
9 4
 
2.5%
20 3
 
1.9%
5 3
 
1.9%
Other values (63) 69
42.6%
ValueCountFrequency (%)
0 37
22.8%
1 15
9.3%
2 6
 
3.7%
3 6
 
3.7%
4 7
 
4.3%
5 3
 
1.9%
6 1
 
0.6%
7 5
 
3.1%
8 7
 
4.3%
9 4
 
2.5%
ValueCountFrequency (%)
2288 1
0.6%
2274 1
0.6%
1823 1
0.6%
1613 1
0.6%
1464 1
0.6%
823 1
0.6%
759 1
0.6%
613 1
0.6%
503 1
0.6%
478 1
0.6%

청주
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)48.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.79012
Minimum0
Maximum4367
Zeros22
Zeros (%)13.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:32.709606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q377
95-th percentile805.85
Maximum4367
Range4367
Interquartile range (IQR)75

Descriptive statistics

Standard deviation651.43517
Coefficient of variation (CV)3.4144072
Kurtosis27.051657
Mean190.79012
Median Absolute Deviation (MAD)12.5
Skewness5.1228313
Sum30908
Variance424367.78
MonotonicityNot monotonic
2024-05-04T08:25:33.288224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
 
13.6%
1 11
 
6.8%
2 10
 
6.2%
7 5
 
3.1%
8 5
 
3.1%
5 5
 
3.1%
6 5
 
3.1%
3 5
 
3.1%
13 5
 
3.1%
9 4
 
2.5%
Other values (69) 85
52.5%
ValueCountFrequency (%)
0 22
13.6%
1 11
6.8%
2 10
6.2%
3 5
 
3.1%
4 4
 
2.5%
5 5
 
3.1%
6 5
 
3.1%
7 5
 
3.1%
8 5
 
3.1%
9 4
 
2.5%
ValueCountFrequency (%)
4367 1
0.6%
4222 1
0.6%
3704 1
0.6%
3221 1
0.6%
2613 1
0.6%
1045 1
0.6%
1015 1
0.6%
887 1
0.6%
809 1
0.6%
746 1
0.6%

창원
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.12963
Minimum0
Maximum5573
Zeros16
Zeros (%)9.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:33.794804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median17.5
Q3104.5
95-th percentile835.4
Maximum5573
Range5573
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation724.37318
Coefficient of variation (CV)3.3208381
Kurtosis34.00443
Mean218.12963
Median Absolute Deviation (MAD)16.5
Skewness5.5870957
Sum35337
Variance524716.51
MonotonicityNot monotonic
2024-05-04T08:25:34.278751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
9.9%
1 9
 
5.6%
2 6
 
3.7%
13 6
 
3.7%
3 6
 
3.7%
21 6
 
3.7%
4 6
 
3.7%
8 6
 
3.7%
14 5
 
3.1%
5 4
 
2.5%
Other values (72) 92
56.8%
ValueCountFrequency (%)
0 16
9.9%
1 9
5.6%
2 6
 
3.7%
3 6
 
3.7%
4 6
 
3.7%
5 4
 
2.5%
6 4
 
2.5%
7 3
 
1.9%
8 6
 
3.7%
10 2
 
1.2%
ValueCountFrequency (%)
5573 1
0.6%
5080 1
0.6%
3568 1
0.6%
2803 1
0.6%
2525 1
0.6%
1272 1
0.6%
1148 1
0.6%
969 1
0.6%
836 1
0.6%
824 1
0.6%

광명
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.074074
Minimum0
Maximum1196
Zeros45
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:35.130340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile296.45
Maximum1196
Range1196
Interquartile range (IQR)21

Descriptive statistics

Standard deviation184.23647
Coefficient of variation (CV)3.1724391
Kurtosis23.151134
Mean58.074074
Median Absolute Deviation (MAD)3
Skewness4.7301607
Sum9408
Variance33943.075
MonotonicityNot monotonic
2024-05-04T08:25:35.740279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
27.8%
1 24
14.8%
2 10
 
6.2%
4 9
 
5.6%
3 4
 
2.5%
17 3
 
1.9%
6 3
 
1.9%
14 3
 
1.9%
5 3
 
1.9%
8 3
 
1.9%
Other values (48) 55
34.0%
ValueCountFrequency (%)
0 45
27.8%
1 24
14.8%
2 10
 
6.2%
3 4
 
2.5%
4 9
 
5.6%
5 3
 
1.9%
6 3
 
1.9%
7 1
 
0.6%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
1196 1
0.6%
1106 1
0.6%
1054 1
0.6%
868 1
0.6%
824 1
0.6%
428 1
0.6%
406 1
0.6%
302 2
1.2%
191 1
0.6%
179 1
0.6%

포항
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.16049
Minimum0
Maximum2943
Zeros26
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:36.286581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q345.5
95-th percentile531.7
Maximum2943
Range2943
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation408.57708
Coefficient of variation (CV)3.4287964
Kurtosis29.087545
Mean119.16049
Median Absolute Deviation (MAD)7
Skewness5.2620932
Sum19304
Variance166935.23
MonotonicityNot monotonic
2024-05-04T08:25:37.044029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
16.0%
2 14
 
8.6%
1 14
 
8.6%
4 8
 
4.9%
7 8
 
4.9%
17 7
 
4.3%
3 6
 
3.7%
6 5
 
3.1%
16 3
 
1.9%
26 3
 
1.9%
Other values (62) 68
42.0%
ValueCountFrequency (%)
0 26
16.0%
1 14
8.6%
2 14
8.6%
3 6
 
3.7%
4 8
 
4.9%
5 1
 
0.6%
6 5
 
3.1%
7 8
 
4.9%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
2943 1
0.6%
2593 1
0.6%
2292 1
0.6%
2021 1
0.6%
1340 1
0.6%
646 1
0.6%
638 1
0.6%
612 1
0.6%
532 1
0.6%
526 1
0.6%

안산
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.09877
Minimum0
Maximum3690
Zeros18
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:37.584260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median13
Q386.75
95-th percentile1028.3
Maximum3690
Range3690
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation579.36869
Coefficient of variation (CV)2.9696174
Kurtosis19.128454
Mean195.09877
Median Absolute Deviation (MAD)12
Skewness4.3035728
Sum31606
Variance335668.08
MonotonicityNot monotonic
2024-05-04T08:25:38.035460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
11.1%
4 10
 
6.2%
2 10
 
6.2%
5 9
 
5.6%
6 8
 
4.9%
1 8
 
4.9%
3 5
 
3.1%
10 4
 
2.5%
21 3
 
1.9%
17 3
 
1.9%
Other values (70) 84
51.9%
ValueCountFrequency (%)
0 18
11.1%
1 8
4.9%
2 10
6.2%
3 5
 
3.1%
4 10
6.2%
5 9
5.6%
6 8
4.9%
7 3
 
1.9%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
3690 1
0.6%
3139 1
0.6%
3062 1
0.6%
2906 1
0.6%
2421 1
0.6%
2109 1
0.6%
1306 1
0.6%
1182 1
0.6%
1033 1
0.6%
939 1
0.6%

진주
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.45679
Minimum0
Maximum1761
Zeros43
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:38.860179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q325.25
95-th percentile235.8
Maximum1761
Range1761
Interquartile range (IQR)25.25

Descriptive statistics

Standard deviation241.12846
Coefficient of variation (CV)3.5745617
Kurtosis34.669797
Mean67.45679
Median Absolute Deviation (MAD)4
Skewness5.7258411
Sum10928
Variance58142.933
MonotonicityNot monotonic
2024-05-04T08:25:39.492816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
26.5%
2 12
 
7.4%
1 11
 
6.8%
3 11
 
6.8%
5 6
 
3.7%
9 6
 
3.7%
4 5
 
3.1%
8 4
 
2.5%
6 4
 
2.5%
7 3
 
1.9%
Other values (47) 57
35.2%
ValueCountFrequency (%)
0 43
26.5%
1 11
 
6.8%
2 12
 
7.4%
3 11
 
6.8%
4 5
 
3.1%
5 6
 
3.7%
6 4
 
2.5%
7 3
 
1.9%
8 4
 
2.5%
9 6
 
3.7%
ValueCountFrequency (%)
1761 1
0.6%
1643 1
0.6%
1557 1
0.6%
827 1
0.6%
646 1
0.6%
395 1
0.6%
341 2
1.2%
236 1
0.6%
232 1
0.6%
181 1
0.6%

고양
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.90741
Minimum0
Maximum4104
Zeros21
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:40.006071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q376
95-th percentile835.25
Maximum4104
Range4104
Interquartile range (IQR)73

Descriptive statistics

Standard deviation599.93218
Coefficient of variation (CV)3.1099489
Kurtosis22.229734
Mean192.90741
Median Absolute Deviation (MAD)13
Skewness4.6263902
Sum31251
Variance359918.62
MonotonicityNot monotonic
2024-05-04T08:25:40.514021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
13.0%
1 12
 
7.4%
4 7
 
4.3%
2 7
 
4.3%
9 7
 
4.3%
8 5
 
3.1%
6 5
 
3.1%
17 5
 
3.1%
13 4
 
2.5%
19 4
 
2.5%
Other values (68) 85
52.5%
ValueCountFrequency (%)
0 21
13.0%
1 12
7.4%
2 7
 
4.3%
3 3
 
1.9%
4 7
 
4.3%
5 2
 
1.2%
6 5
 
3.1%
7 3
 
1.9%
8 5
 
3.1%
9 7
 
4.3%
ValueCountFrequency (%)
4104 1
0.6%
3269 1
0.6%
3131 1
0.6%
3015 1
0.6%
2493 1
0.6%
2200 1
0.6%
1314 1
0.6%
928 1
0.6%
837 1
0.6%
802 1
0.6%

제주
Real number (ℝ)

ZEROS 

Distinct76
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.27778
Minimum0
Maximum4194
Zeros29
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:40.940547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11.5
Q360
95-th percentile829.45
Maximum4194
Range4194
Interquartile range (IQR)58

Descriptive statistics

Standard deviation529.30434
Coefficient of variation (CV)3.1832536
Kurtosis28.286386
Mean166.27778
Median Absolute Deviation (MAD)11.5
Skewness5.0053309
Sum26937
Variance280163.08
MonotonicityNot monotonic
2024-05-04T08:25:41.428514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
17.9%
1 11
 
6.8%
4 10
 
6.2%
9 5
 
3.1%
2 5
 
3.1%
3 5
 
3.1%
5 5
 
3.1%
13 4
 
2.5%
38 3
 
1.9%
33 3
 
1.9%
Other values (66) 82
50.6%
ValueCountFrequency (%)
0 29
17.9%
1 11
 
6.8%
2 5
 
3.1%
3 5
 
3.1%
4 10
 
6.2%
5 5
 
3.1%
6 3
 
1.9%
7 1
 
0.6%
8 3
 
1.9%
9 5
 
3.1%
ValueCountFrequency (%)
4194 1
0.6%
2750 1
0.6%
2518 1
0.6%
2366 1
0.6%
2043 1
0.6%
1746 1
0.6%
1014 1
0.6%
870 1
0.6%
838 1
0.6%
667 1
0.6%

목포
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.382716
Minimum0
Maximum1269
Zeros48
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:41.856473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q322.5
95-th percentile336.9
Maximum1269
Range1269
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation206.80348
Coefficient of variation (CV)3.262774
Kurtosis19.680096
Mean63.382716
Median Absolute Deviation (MAD)3
Skewness4.4464213
Sum10268
Variance42767.679
MonotonicityNot monotonic
2024-05-04T08:25:42.364516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
29.6%
1 17
 
10.5%
3 11
 
6.8%
2 10
 
6.2%
8 4
 
2.5%
5 4
 
2.5%
9 4
 
2.5%
7 4
 
2.5%
14 4
 
2.5%
25 3
 
1.9%
Other values (42) 53
32.7%
ValueCountFrequency (%)
0 48
29.6%
1 17
 
10.5%
2 10
 
6.2%
3 11
 
6.8%
4 3
 
1.9%
5 4
 
2.5%
6 2
 
1.2%
7 4
 
2.5%
8 4
 
2.5%
9 4
 
2.5%
ValueCountFrequency (%)
1269 1
0.6%
1155 1
0.6%
1114 1
0.6%
968 1
0.6%
961 1
0.6%
772 1
0.6%
642 1
0.6%
363 1
0.6%
344 1
0.6%
202 1
0.6%

의정부
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.753086
Minimum0
Maximum2177
Zeros35
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:42.802093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q340
95-th percentile316.35
Maximum2177
Range2177
Interquartile range (IQR)39

Descriptive statistics

Standard deviation309.78761
Coefficient of variation (CV)3.3042924
Kurtosis27.786092
Mean93.753086
Median Absolute Deviation (MAD)7
Skewness5.1480776
Sum15188
Variance95968.361
MonotonicityNot monotonic
2024-05-04T08:25:43.428151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
21.6%
1 17
 
10.5%
2 7
 
4.3%
5 5
 
3.1%
6 5
 
3.1%
17 5
 
3.1%
3 5
 
3.1%
11 4
 
2.5%
13 4
 
2.5%
4 4
 
2.5%
Other values (55) 71
43.8%
ValueCountFrequency (%)
0 35
21.6%
1 17
10.5%
2 7
 
4.3%
3 5
 
3.1%
4 4
 
2.5%
5 5
 
3.1%
6 5
 
3.1%
7 4
 
2.5%
8 1
 
0.6%
9 2
 
1.2%
ValueCountFrequency (%)
2177 1
0.6%
2045 1
0.6%
1606 1
0.6%
1472 1
0.6%
1232 1
0.6%
691 1
0.6%
605 1
0.6%
331 1
0.6%
318 1
0.6%
285 1
0.6%

익산
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.876543
Minimum0
Maximum1339
Zeros45
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:44.160760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q327.75
95-th percentile193.6
Maximum1339
Range1339
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation186.46921
Coefficient of variation (CV)3.3979767
Kurtosis27.62195
Mean54.876543
Median Absolute Deviation (MAD)4
Skewness5.1931507
Sum8890
Variance34770.767
MonotonicityNot monotonic
2024-05-04T08:25:44.695825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
27.8%
1 19
 
11.7%
5 9
 
5.6%
4 7
 
4.3%
2 7
 
4.3%
3 5
 
3.1%
15 3
 
1.9%
8 3
 
1.9%
30 3
 
1.9%
10 3
 
1.9%
Other values (48) 58
35.8%
ValueCountFrequency (%)
0 45
27.8%
1 19
11.7%
2 7
 
4.3%
3 5
 
3.1%
4 7
 
4.3%
5 9
 
5.6%
6 3
 
1.9%
7 3
 
1.9%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
1339 1
0.6%
1069 1
0.6%
999 1
0.6%
942 1
0.6%
919 1
0.6%
256 1
0.6%
223 1
0.6%
209 1
0.6%
194 1
0.6%
186 1
0.6%

군산
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.740741
Minimum0
Maximum1892
Zeros31
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:45.218068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q337.25
95-th percentile378.1
Maximum1892
Range1892
Interquartile range (IQR)36.25

Descriptive statistics

Standard deviation220.54784
Coefficient of variation (CV)3.0742342
Kurtosis34.806753
Mean71.740741
Median Absolute Deviation (MAD)6
Skewness5.425355
Sum11622
Variance48641.349
MonotonicityNot monotonic
2024-05-04T08:25:45.728735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
19.1%
1 12
 
7.4%
2 12
 
7.4%
4 11
 
6.8%
6 10
 
6.2%
3 5
 
3.1%
10 4
 
2.5%
5 3
 
1.9%
9 3
 
1.9%
8 3
 
1.9%
Other values (56) 68
42.0%
ValueCountFrequency (%)
0 31
19.1%
1 12
 
7.4%
2 12
 
7.4%
3 5
 
3.1%
4 11
 
6.8%
5 3
 
1.9%
6 10
 
6.2%
7 3
 
1.9%
8 3
 
1.9%
9 3
 
1.9%
ValueCountFrequency (%)
1892 1
0.6%
1096 1
0.6%
1040 1
0.6%
898 1
0.6%
865 1
0.6%
493 1
0.6%
427 1
0.6%
385 1
0.6%
381 1
0.6%
323 1
0.6%

구미
Real number (ℝ)

ZEROS 

Distinct62
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.37654
Minimum0
Maximum2730
Zeros40
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:46.327809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q330.5
95-th percentile401.15
Maximum2730
Range2730
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation359.98131
Coefficient of variation (CV)3.550933
Kurtosis34.532935
Mean101.37654
Median Absolute Deviation (MAD)4
Skewness5.6331983
Sum16423
Variance129586.55
MonotonicityNot monotonic
2024-05-04T08:25:47.058442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
24.7%
1 18
 
11.1%
3 10
 
6.2%
2 8
 
4.9%
4 6
 
3.7%
9 5
 
3.1%
5 5
 
3.1%
6 5
 
3.1%
16 3
 
1.9%
92 3
 
1.9%
Other values (52) 59
36.4%
ValueCountFrequency (%)
0 40
24.7%
1 18
11.1%
2 8
 
4.9%
3 10
 
6.2%
4 6
 
3.7%
5 5
 
3.1%
6 5
 
3.1%
7 2
 
1.2%
8 1
 
0.6%
9 5
 
3.1%
ValueCountFrequency (%)
2730 1
0.6%
2600 1
0.6%
1622 1
0.6%
1568 1
0.6%
1057 1
0.6%
855 1
0.6%
464 1
0.6%
443 1
0.6%
405 1
0.6%
328 1
0.6%

천안
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.85802
Minimum0
Maximum3360
Zeros32
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:47.695892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q358.75
95-th percentile694.05
Maximum3360
Range3360
Interquartile range (IQR)57.75

Descriptive statistics

Standard deviation473.3806
Coefficient of variation (CV)3.1800812
Kurtosis24.192268
Mean148.85802
Median Absolute Deviation (MAD)10
Skewness4.7754786
Sum24115
Variance224089.19
MonotonicityNot monotonic
2024-05-04T08:25:48.416862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
19.8%
1 10
 
6.2%
2 8
 
4.9%
8 8
 
4.9%
10 5
 
3.1%
7 5
 
3.1%
4 5
 
3.1%
3 4
 
2.5%
5 3
 
1.9%
6 3
 
1.9%
Other values (64) 79
48.8%
ValueCountFrequency (%)
0 32
19.8%
1 10
 
6.2%
2 8
 
4.9%
3 4
 
2.5%
4 5
 
3.1%
5 3
 
1.9%
6 3
 
1.9%
7 5
 
3.1%
8 8
 
4.9%
9 2
 
1.2%
ValueCountFrequency (%)
3360 1
0.6%
2868 1
0.6%
2140 1
0.6%
2135 1
0.6%
1960 1
0.6%
1860 1
0.6%
875 1
0.6%
731 1
0.6%
696 1
0.6%
657 1
0.6%

여수
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.716049
Minimum0
Maximum1280
Zeros45
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:49.465269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q327.75
95-th percentile314
Maximum1280
Range1280
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation213.58616
Coefficient of variation (CV)3.1541439
Kurtosis20.586201
Mean67.716049
Median Absolute Deviation (MAD)5
Skewness4.5247159
Sum10970
Variance45619.049
MonotonicityNot monotonic
2024-05-04T08:25:50.102593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
27.8%
2 11
 
6.8%
1 10
 
6.2%
6 8
 
4.9%
4 7
 
4.3%
3 7
 
4.3%
5 5
 
3.1%
15 4
 
2.5%
10 4
 
2.5%
12 3
 
1.9%
Other values (48) 58
35.8%
ValueCountFrequency (%)
0 45
27.8%
1 10
 
6.2%
2 11
 
6.8%
3 7
 
4.3%
4 7
 
4.3%
5 5
 
3.1%
6 8
 
4.9%
7 2
 
1.2%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
1280 1
0.6%
1238 1
0.6%
1165 1
0.6%
1155 1
0.6%
844 1
0.6%
821 1
0.6%
536 1
0.6%
374 1
0.6%
319 1
0.6%
219 1
0.6%

춘천
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.530864
Minimum0
Maximum1537
Zeros40
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:50.523746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q326.75
95-th percentile336.75
Maximum1537
Range1537
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation206.476
Coefficient of variation (CV)3.3019854
Kurtosis26.61201
Mean62.530864
Median Absolute Deviation (MAD)5
Skewness4.9803948
Sum10130
Variance42632.338
MonotonicityNot monotonic
2024-05-04T08:25:50.985797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
24.7%
1 16
 
9.9%
3 11
 
6.8%
5 7
 
4.3%
2 7
 
4.3%
8 6
 
3.7%
4 5
 
3.1%
7 5
 
3.1%
6 5
 
3.1%
39 3
 
1.9%
Other values (48) 57
35.2%
ValueCountFrequency (%)
0 40
24.7%
1 16
 
9.9%
2 7
 
4.3%
3 11
 
6.8%
4 5
 
3.1%
5 7
 
4.3%
6 5
 
3.1%
7 5
 
3.1%
8 6
 
3.7%
9 1
 
0.6%
ValueCountFrequency (%)
1537 1
0.6%
1187 1
0.6%
1068 1
0.6%
944 1
0.6%
775 1
0.6%
659 1
0.6%
383 1
0.6%
375 1
0.6%
343 1
0.6%
218 1
0.6%

원주
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.54321
Minimum0
Maximum1945
Zeros34
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:51.421408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q332.75
95-th percentile349.25
Maximum1945
Range1945
Interquartile range (IQR)31.75

Descriptive statistics

Standard deviation292.68744
Coefficient of variation (CV)3.232572
Kurtosis22.977782
Mean90.54321
Median Absolute Deviation (MAD)7
Skewness4.7306057
Sum14668
Variance85665.939
MonotonicityNot monotonic
2024-05-04T08:25:51.894496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
21.0%
1 12
 
7.4%
5 9
 
5.6%
3 8
 
4.9%
2 8
 
4.9%
7 7
 
4.3%
6 5
 
3.1%
8 5
 
3.1%
11 4
 
2.5%
33 3
 
1.9%
Other values (55) 67
41.4%
ValueCountFrequency (%)
0 34
21.0%
1 12
 
7.4%
2 8
 
4.9%
3 8
 
4.9%
4 3
 
1.9%
5 9
 
5.6%
6 5
 
3.1%
7 7
 
4.3%
8 5
 
3.1%
9 1
 
0.6%
ValueCountFrequency (%)
1945 1
0.6%
1680 1
0.6%
1645 1
0.6%
1409 1
0.6%
1273 1
0.6%
933 1
0.6%
593 1
0.6%
483 1
0.6%
350 1
0.6%
335 1
0.6%

평택
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.88889
Minimum0
Maximum2698
Zeros25
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:52.326815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11.5
Q366
95-th percentile913.9
Maximum2698
Range2698
Interquartile range (IQR)64

Descriptive statistics

Standard deviation465.84671
Coefficient of variation (CV)2.9883253
Kurtosis15.945098
Mean155.88889
Median Absolute Deviation (MAD)11.5
Skewness4.0186553
Sum25254
Variance217013.16
MonotonicityNot monotonic
2024-05-04T08:25:52.776850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25
 
15.4%
1 12
 
7.4%
2 8
 
4.9%
3 7
 
4.3%
4 6
 
3.7%
11 5
 
3.1%
5 5
 
3.1%
6 4
 
2.5%
20 4
 
2.5%
7 4
 
2.5%
Other values (63) 82
50.6%
ValueCountFrequency (%)
0 25
15.4%
1 12
7.4%
2 8
 
4.9%
3 7
 
4.3%
4 6
 
3.7%
5 5
 
3.1%
6 4
 
2.5%
7 4
 
2.5%
8 2
 
1.2%
9 3
 
1.9%
ValueCountFrequency (%)
2698 1
0.6%
2594 1
0.6%
2207 1
0.6%
2148 1
0.6%
2074 1
0.6%
1714 1
0.6%
1578 1
0.6%
1576 1
0.6%
919 1
0.6%
817 1
0.6%

경주
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.055556
Minimum0
Maximum1377
Zeros43
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:53.151946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q323
95-th percentile268.7
Maximum1377
Range1377
Interquartile range (IQR)23

Descriptive statistics

Standard deviation195.53377
Coefficient of variation (CV)3.311014
Kurtosis28.86272
Mean59.055556
Median Absolute Deviation (MAD)5
Skewness5.2405008
Sum9567
Variance38233.457
MonotonicityNot monotonic
2024-05-04T08:25:53.666924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
26.5%
2 12
 
7.4%
1 12
 
7.4%
4 8
 
4.9%
5 6
 
3.7%
23 5
 
3.1%
3 5
 
3.1%
9 5
 
3.1%
7 4
 
2.5%
8 4
 
2.5%
Other values (49) 58
35.8%
ValueCountFrequency (%)
0 43
26.5%
1 12
 
7.4%
2 12
 
7.4%
3 5
 
3.1%
4 8
 
4.9%
5 6
 
3.7%
6 3
 
1.9%
7 4
 
2.5%
8 4
 
2.5%
9 5
 
3.1%
ValueCountFrequency (%)
1377 1
0.6%
1209 1
0.6%
1198 1
0.6%
982 1
0.6%
499 1
0.6%
403 1
0.6%
310 1
0.6%
282 1
0.6%
270 1
0.6%
244 1
0.6%

김해
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.72222
Minimum0
Maximum3411
Zeros33
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:54.053327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9.5
Q345.75
95-th percentile570.85
Maximum3411
Range3411
Interquartile range (IQR)44.75

Descriptive statistics

Standard deviation427.04907
Coefficient of variation (CV)3.4798023
Kurtosis32.751094
Mean122.72222
Median Absolute Deviation (MAD)9.5
Skewness5.4902654
Sum19881
Variance182370.91
MonotonicityNot monotonic
2024-05-04T08:25:54.505267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
20.4%
1 11
 
6.8%
2 11
 
6.8%
8 6
 
3.7%
3 5
 
3.1%
6 5
 
3.1%
13 4
 
2.5%
16 3
 
1.9%
4 3
 
1.9%
10 3
 
1.9%
Other values (62) 78
48.1%
ValueCountFrequency (%)
0 33
20.4%
1 11
 
6.8%
2 11
 
6.8%
3 5
 
3.1%
4 3
 
1.9%
5 2
 
1.2%
6 5
 
3.1%
7 2
 
1.2%
8 6
 
3.7%
9 3
 
1.9%
ValueCountFrequency (%)
3411 1
0.6%
2514 1
0.6%
2266 1
0.6%
1821 1
0.6%
1638 1
0.6%
772 1
0.6%
668 1
0.6%
651 1
0.6%
578 1
0.6%
435 1
0.6%

순천
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.141975
Minimum0
Maximum1355
Zeros46
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:54.913649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile191.1
Maximum1355
Range1355
Interquartile range (IQR)23

Descriptive statistics

Standard deviation196.13248
Coefficient of variation (CV)3.3162991
Kurtosis23.699482
Mean59.141975
Median Absolute Deviation (MAD)3
Skewness4.7911592
Sum9581
Variance38467.949
MonotonicityNot monotonic
2024-05-04T08:25:55.399556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
28.4%
1 13
 
8.0%
3 13
 
8.0%
2 12
 
7.4%
4 6
 
3.7%
6 5
 
3.1%
5 5
 
3.1%
7 3
 
1.9%
55 3
 
1.9%
8 3
 
1.9%
Other values (46) 53
32.7%
ValueCountFrequency (%)
0 46
28.4%
1 13
 
8.0%
2 12
 
7.4%
3 13
 
8.0%
4 6
 
3.7%
5 5
 
3.1%
6 5
 
3.1%
7 3
 
1.9%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
1355 1
0.6%
1131 1
0.6%
1051 1
0.6%
885 1
0.6%
820 1
0.6%
734 1
0.6%
442 1
0.6%
279 1
0.6%
192 1
0.6%
174 1
0.6%

군포
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.283951
Minimum0
Maximum1018
Zeros50
Zeros (%)30.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:55.789690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q314
95-th percentile212.8
Maximum1018
Range1018
Interquartile range (IQR)14

Descriptive statistics

Standard deviation153.31276
Coefficient of variation (CV)3.385587
Kurtosis25.967071
Mean45.283951
Median Absolute Deviation (MAD)2.5
Skewness5.0055959
Sum7336
Variance23504.801
MonotonicityNot monotonic
2024-05-04T08:25:56.148936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
30.9%
1 16
 
9.9%
2 15
 
9.3%
5 6
 
3.7%
4 6
 
3.7%
3 5
 
3.1%
11 5
 
3.1%
6 5
 
3.1%
7 4
 
2.5%
10 3
 
1.9%
Other values (40) 47
29.0%
ValueCountFrequency (%)
0 50
30.9%
1 16
 
9.9%
2 15
 
9.3%
3 5
 
3.1%
4 6
 
3.7%
5 6
 
3.7%
6 5
 
3.1%
7 4
 
2.5%
8 1
 
0.6%
10 3
 
1.9%
ValueCountFrequency (%)
1018 1
0.6%
1009 1
0.6%
803 1
0.6%
764 1
0.6%
634 1
0.6%
335 1
0.6%
278 1
0.6%
222 1
0.6%
214 1
0.6%
190 1
0.6%

남양주
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.08025
Minimum0
Maximum1990
Zeros30
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:56.538902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q352.5
95-th percentile532.95
Maximum1990
Range1990
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation325.68527
Coefficient of variation (CV)2.8801252
Kurtosis19.718032
Mean113.08025
Median Absolute Deviation (MAD)13
Skewness4.3808352
Sum18319
Variance106070.89
MonotonicityNot monotonic
2024-05-04T08:25:57.064111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
18.5%
2 12
 
7.4%
4 8
 
4.9%
5 6
 
3.7%
1 5
 
3.1%
13 4
 
2.5%
3 4
 
2.5%
6 4
 
2.5%
60 3
 
1.9%
30 3
 
1.9%
Other values (67) 83
51.2%
ValueCountFrequency (%)
0 30
18.5%
1 5
 
3.1%
2 12
 
7.4%
3 4
 
2.5%
4 8
 
4.9%
5 6
 
3.7%
6 4
 
2.5%
7 3
 
1.9%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
1990 1
0.6%
1858 1
0.6%
1757 1
0.6%
1751 1
0.6%
1361 1
0.6%
988 1
0.6%
913 1
0.6%
621 1
0.6%
538 1
0.6%
437 1
0.6%

강릉
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.91358
Minimum0
Maximum952
Zeros45
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:57.478744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318
95-th percentile204.45
Maximum952
Range952
Interquartile range (IQR)18

Descriptive statistics

Standard deviation148.99529
Coefficient of variation (CV)3.1096671
Kurtosis21.495555
Mean47.91358
Median Absolute Deviation (MAD)3
Skewness4.5632517
Sum7762
Variance22199.595
MonotonicityNot monotonic
2024-05-04T08:25:57.966888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
27.8%
1 22
13.6%
3 9
 
5.6%
2 8
 
4.9%
4 6
 
3.7%
6 5
 
3.1%
10 5
 
3.1%
5 4
 
2.5%
8 4
 
2.5%
19 3
 
1.9%
Other values (43) 51
31.5%
ValueCountFrequency (%)
0 45
27.8%
1 22
13.6%
2 8
 
4.9%
3 9
 
5.6%
4 6
 
3.7%
5 4
 
2.5%
6 5
 
3.1%
7 2
 
1.2%
8 4
 
2.5%
9 2
 
1.2%
ValueCountFrequency (%)
952 1
0.6%
867 1
0.6%
854 1
0.6%
674 1
0.6%
657 1
0.6%
466 1
0.6%
357 1
0.6%
294 1
0.6%
206 1
0.6%
175 1
0.6%

충주
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.87037
Minimum0
Maximum1076
Zeros42
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:58.437490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile206.8
Maximum1076
Range1076
Interquartile range (IQR)15

Descriptive statistics

Standard deviation144.38132
Coefficient of variation (CV)3.2910895
Kurtosis26.598648
Mean43.87037
Median Absolute Deviation (MAD)3
Skewness4.9765851
Sum7107
Variance20845.964
MonotonicityNot monotonic
2024-05-04T08:25:59.105525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
25.9%
1 22
13.6%
2 11
 
6.8%
3 9
 
5.6%
5 6
 
3.7%
6 6
 
3.7%
9 5
 
3.1%
4 5
 
3.1%
10 3
 
1.9%
7 3
 
1.9%
Other values (40) 50
30.9%
ValueCountFrequency (%)
0 42
25.9%
1 22
13.6%
2 11
 
6.8%
3 9
 
5.6%
4 5
 
3.1%
5 6
 
3.7%
6 6
 
3.7%
7 3
 
1.9%
8 1
 
0.6%
9 5
 
3.1%
ValueCountFrequency (%)
1076 1
0.6%
787 1
0.6%
784 1
0.6%
657 1
0.6%
605 1
0.6%
376 1
0.6%
284 1
0.6%
219 1
0.6%
207 1
0.6%
203 1
0.6%

안동
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.839506
Minimum0
Maximum830
Zeros51
Zeros (%)31.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:25:59.582865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q316
95-th percentile103.2
Maximum830
Range830
Interquartile range (IQR)16

Descriptive statistics

Standard deviation109.82029
Coefficient of variation (CV)3.4491832
Kurtosis33.807623
Mean31.839506
Median Absolute Deviation (MAD)3
Skewness5.5970197
Sum5158
Variance12060.496
MonotonicityNot monotonic
2024-05-04T08:26:00.312392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
31.5%
1 16
 
9.9%
3 14
 
8.6%
2 9
 
5.6%
4 7
 
4.3%
7 4
 
2.5%
8 4
 
2.5%
20 3
 
1.9%
9 3
 
1.9%
21 3
 
1.9%
Other values (40) 48
29.6%
ValueCountFrequency (%)
0 51
31.5%
1 16
 
9.9%
2 9
 
5.6%
3 14
 
8.6%
4 7
 
4.3%
5 1
 
0.6%
6 2
 
1.2%
7 4
 
2.5%
8 4
 
2.5%
9 3
 
1.9%
ValueCountFrequency (%)
830 1
0.6%
787 1
0.6%
481 1
0.6%
466 1
0.6%
418 1
0.6%
222 1
0.6%
193 1
0.6%
124 1
0.6%
104 1
0.6%
88 1
0.6%

경산
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.006173
Minimum0
Maximum1053
Zeros44
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:01.227623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318
95-th percentile175
Maximum1053
Range1053
Interquartile range (IQR)18

Descriptive statistics

Standard deviation155.47976
Coefficient of variation (CV)3.3795413
Kurtosis25.20985
Mean46.006173
Median Absolute Deviation (MAD)3
Skewness4.9744854
Sum7453
Variance24173.956
MonotonicityNot monotonic
2024-05-04T08:26:01.663713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
27.2%
1 22
13.6%
3 11
 
6.8%
4 9
 
5.6%
2 8
 
4.9%
11 4
 
2.5%
5 4
 
2.5%
18 4
 
2.5%
9 3
 
1.9%
8 3
 
1.9%
Other values (41) 50
30.9%
ValueCountFrequency (%)
0 44
27.2%
1 22
13.6%
2 8
 
4.9%
3 11
 
6.8%
4 9
 
5.6%
5 4
 
2.5%
6 2
 
1.2%
7 2
 
1.2%
8 3
 
1.9%
9 3
 
1.9%
ValueCountFrequency (%)
1053 1
0.6%
908 1
0.6%
868 1
0.6%
765 1
0.6%
751 1
0.6%
341 1
0.6%
241 1
0.6%
224 1
0.6%
176 1
0.6%
156 1
0.6%

아산
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.611111
Minimum0
Maximum1431
Zeros42
Zeros (%)25.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:02.174567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329.75
95-th percentile242.85
Maximum1431
Range1431
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation189.51007
Coefficient of variation (CV)3.1791064
Kurtosis27.786561
Mean59.611111
Median Absolute Deviation (MAD)4
Skewness5.0722817
Sum9657
Variance35914.065
MonotonicityNot monotonic
2024-05-04T08:26:02.775818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
25.9%
1 19
 
11.7%
2 11
 
6.8%
5 8
 
4.9%
3 5
 
3.1%
4 5
 
3.1%
22 4
 
2.5%
7 4
 
2.5%
8 3
 
1.9%
12 3
 
1.9%
Other values (48) 58
35.8%
ValueCountFrequency (%)
0 42
25.9%
1 19
11.7%
2 11
 
6.8%
3 5
 
3.1%
4 5
 
3.1%
5 8
 
4.9%
6 3
 
1.9%
7 4
 
2.5%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
1431 1
0.6%
1090 1
0.6%
974 1
0.6%
926 1
0.6%
734 1
0.6%
411 1
0.6%
410 1
0.6%
278 1
0.6%
243 1
0.6%
240 1
0.6%

거제
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.024691
Minimum0
Maximum1528
Zeros41
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:03.325903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median5
Q333.75
95-th percentile333.25
Maximum1528
Range1528
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation224.24426
Coefficient of variation (CV)3.113436
Kurtosis24.635799
Mean72.024691
Median Absolute Deviation (MAD)5
Skewness4.784388
Sum11668
Variance50285.49
MonotonicityNot monotonic
2024-05-04T08:26:03.992636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
25.3%
1 10
 
6.2%
2 10
 
6.2%
4 9
 
5.6%
3 9
 
5.6%
5 9
 
5.6%
6 6
 
3.7%
11 3
 
1.9%
8 3
 
1.9%
7 3
 
1.9%
Other values (51) 59
36.4%
ValueCountFrequency (%)
0 41
25.3%
1 10
 
6.2%
2 10
 
6.2%
3 9
 
5.6%
4 9
 
5.6%
5 9
 
5.6%
6 6
 
3.7%
7 3
 
1.9%
8 3
 
1.9%
9 3
 
1.9%
ValueCountFrequency (%)
1528 1
0.6%
1490 1
0.6%
1079 1
0.6%
979 1
0.6%
884 1
0.6%
670 1
0.6%
503 1
0.6%
374 1
0.6%
336 1
0.6%
281 1
0.6%

김천
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.401235
Minimum0
Maximum477
Zeros61
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:04.577276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312
95-th percentile131.95
Maximum477
Range477
Interquartile range (IQR)12

Descriptive statistics

Standard deviation74.229998
Coefficient of variation (CV)2.9222988
Kurtosis18.000986
Mean25.401235
Median Absolute Deviation (MAD)1
Skewness4.1943251
Sum4115
Variance5510.0927
MonotonicityNot monotonic
2024-05-04T08:26:05.172977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 61
37.7%
1 21
 
13.0%
3 8
 
4.9%
4 6
 
3.7%
5 5
 
3.1%
2 4
 
2.5%
8 4
 
2.5%
6 3
 
1.9%
11 3
 
1.9%
7 3
 
1.9%
Other values (36) 44
27.2%
ValueCountFrequency (%)
0 61
37.7%
1 21
 
13.0%
2 4
 
2.5%
3 8
 
4.9%
4 6
 
3.7%
5 5
 
3.1%
6 3
 
1.9%
7 3
 
1.9%
8 4
 
2.5%
9 1
 
0.6%
ValueCountFrequency (%)
477 1
0.6%
394 1
0.6%
368 1
0.6%
351 1
0.6%
297 1
0.6%
296 1
0.6%
241 1
0.6%
195 1
0.6%
132 1
0.6%
131 1
0.6%

정읍
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.407407
Minimum0
Maximum542
Zeros61
Zeros (%)37.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:05.713551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile73.7
Maximum542
Range542
Interquartile range (IQR)11

Descriptive statistics

Standard deviation65.673251
Coefficient of variation (CV)3.383927
Kurtosis34.64793
Mean19.407407
Median Absolute Deviation (MAD)2
Skewness5.6043685
Sum3144
Variance4312.9758
MonotonicityNot monotonic
2024-05-04T08:26:06.278007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 61
37.7%
1 17
 
10.5%
2 14
 
8.6%
3 10
 
6.2%
5 5
 
3.1%
12 4
 
2.5%
11 4
 
2.5%
8 3
 
1.9%
10 3
 
1.9%
4 3
 
1.9%
Other values (32) 38
23.5%
ValueCountFrequency (%)
0 61
37.7%
1 17
 
10.5%
2 14
 
8.6%
3 10
 
6.2%
4 3
 
1.9%
5 5
 
3.1%
6 2
 
1.2%
7 1
 
0.6%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
542 1
0.6%
386 1
0.6%
304 1
0.6%
282 1
0.6%
280 1
0.6%
129 1
0.6%
95 1
0.6%
78 1
0.6%
74 1
0.6%
68 1
0.6%

용인
Real number (ℝ)

ZEROS 

Distinct74
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.16667
Minimum0
Maximum2950
Zeros29
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:06.823704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q355.75
95-th percentile729.35
Maximum2950
Range2950
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation449.06257
Coefficient of variation (CV)3.1587051
Kurtosis23.496203
Mean142.16667
Median Absolute Deviation (MAD)11
Skewness4.7566897
Sum23031
Variance201657.2
MonotonicityNot monotonic
2024-05-04T08:26:07.394435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
17.9%
1 13
 
8.0%
4 6
 
3.7%
3 6
 
3.7%
2 6
 
3.7%
5 5
 
3.1%
10 5
 
3.1%
11 4
 
2.5%
37 4
 
2.5%
6 3
 
1.9%
Other values (64) 81
50.0%
ValueCountFrequency (%)
0 29
17.9%
1 13
8.0%
2 6
 
3.7%
3 6
 
3.7%
4 6
 
3.7%
5 5
 
3.1%
6 3
 
1.9%
7 3
 
1.9%
8 1
 
0.6%
9 2
 
1.2%
ValueCountFrequency (%)
2950 1
0.6%
2813 1
0.6%
2322 1
0.6%
2167 1
0.6%
2063 1
0.6%
1103 1
0.6%
815 1
0.6%
758 1
0.6%
734 1
0.6%
641 1
0.6%

시흥
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.06173
Minimum0
Maximum3362
Zeros27
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:07.939194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median8
Q341.75
95-th percentile627.9
Maximum3362
Range3362
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation403.91675
Coefficient of variation (CV)3.3091187
Kurtosis32.658341
Mean122.06173
Median Absolute Deviation (MAD)8
Skewness5.3284954
Sum19774
Variance163148.74
MonotonicityNot monotonic
2024-05-04T08:26:08.501475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
16.7%
1 14
 
8.6%
2 10
 
6.2%
8 8
 
4.9%
3 8
 
4.9%
5 7
 
4.3%
4 5
 
3.1%
7 4
 
2.5%
19 4
 
2.5%
6 4
 
2.5%
Other values (62) 71
43.8%
ValueCountFrequency (%)
0 27
16.7%
1 14
8.6%
2 10
 
6.2%
3 8
 
4.9%
4 5
 
3.1%
5 7
 
4.3%
6 4
 
2.5%
7 4
 
2.5%
8 8
 
4.9%
9 1
 
0.6%
ValueCountFrequency (%)
3362 1
0.6%
2102 1
0.6%
1955 1
0.6%
1663 1
0.6%
1396 1
0.6%
1294 1
0.6%
798 1
0.6%
705 1
0.6%
634 1
0.6%
512 1
0.6%

파주
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.17284
Minimum0
Maximum2204
Zeros34
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:09.035081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q333
95-th percentile490.5
Maximum2204
Range2204
Interquartile range (IQR)32

Descriptive statistics

Standard deviation302.93473
Coefficient of variation (CV)3.2513201
Kurtosis29.746035
Mean93.17284
Median Absolute Deviation (MAD)6
Skewness5.1885142
Sum15094
Variance91769.448
MonotonicityNot monotonic
2024-05-04T08:26:09.773058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
21.0%
1 15
 
9.3%
2 11
 
6.8%
5 7
 
4.3%
6 7
 
4.3%
13 7
 
4.3%
4 6
 
3.7%
3 5
 
3.1%
10 3
 
1.9%
33 3
 
1.9%
Other values (56) 64
39.5%
ValueCountFrequency (%)
0 34
21.0%
1 15
9.3%
2 11
 
6.8%
3 5
 
3.1%
4 6
 
3.7%
5 7
 
4.3%
6 7
 
4.3%
7 1
 
0.6%
9 1
 
0.6%
10 3
 
1.9%
ValueCountFrequency (%)
2204 1
0.6%
2127 1
0.6%
1498 1
0.6%
1028 1
0.6%
1004 1
0.6%
867 1
0.6%
602 1
0.6%
596 1
0.6%
496 1
0.6%
386 1
0.6%

양산
Real number (ℝ)

ZEROS 

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.790123
Minimum0
Maximum1383
Zeros45
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:10.289219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.5
Q325
95-th percentile245.3
Maximum1383
Range1383
Interquartile range (IQR)25

Descriptive statistics

Standard deviation174.67917
Coefficient of variation (CV)3.1310053
Kurtosis30.272599
Mean55.790123
Median Absolute Deviation (MAD)5.5
Skewness5.2236837
Sum9038
Variance30512.813
MonotonicityNot monotonic
2024-05-04T08:26:10.759095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
27.8%
1 13
 
8.0%
6 8
 
4.9%
5 8
 
4.9%
3 6
 
3.7%
4 6
 
3.7%
11 5
 
3.1%
7 4
 
2.5%
10 4
 
2.5%
8 3
 
1.9%
Other values (48) 60
37.0%
ValueCountFrequency (%)
0 45
27.8%
1 13
 
8.0%
2 3
 
1.9%
3 6
 
3.7%
4 6
 
3.7%
5 8
 
4.9%
6 8
 
4.9%
7 4
 
2.5%
8 3
 
1.9%
9 2
 
1.2%
ValueCountFrequency (%)
1383 1
0.6%
962 1
0.6%
922 1
0.6%
824 1
0.6%
627 1
0.6%
361 1
0.6%
294 1
0.6%
279 1
0.6%
247 1
0.6%
213 1
0.6%

이천
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.753086
Minimum0
Maximum1278
Zeros54
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:11.286458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile263.45
Maximum1278
Range1278
Interquartile range (IQR)21

Descriptive statistics

Standard deviation163.34599
Coefficient of variation (CV)3.1562561
Kurtosis28.872095
Mean51.753086
Median Absolute Deviation (MAD)3
Skewness5.0980222
Sum8384
Variance26681.914
MonotonicityNot monotonic
2024-05-04T08:26:11.783583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
33.3%
1 14
 
8.6%
2 10
 
6.2%
4 7
 
4.3%
5 6
 
3.7%
3 4
 
2.5%
19 3
 
1.9%
16 3
 
1.9%
14 3
 
1.9%
15 3
 
1.9%
Other values (46) 55
34.0%
ValueCountFrequency (%)
0 54
33.3%
1 14
 
8.6%
2 10
 
6.2%
3 4
 
2.5%
4 7
 
4.3%
5 6
 
3.7%
6 2
 
1.2%
7 2
 
1.2%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
1278 1
0.6%
887 1
0.6%
860 1
0.6%
740 1
0.6%
622 1
0.6%
356 1
0.6%
326 1
0.6%
275 1
0.6%
265 1
0.6%
234 1
0.6%

구리
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.728395
Minimum0
Maximum925
Zeros46
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:12.338127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317.5
95-th percentile252.7
Maximum925
Range925
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation145.15732
Coefficient of variation (CV)3.1743365
Kurtosis24.156185
Mean45.728395
Median Absolute Deviation (MAD)3
Skewness4.8236225
Sum7408
Variance21070.646
MonotonicityNot monotonic
2024-05-04T08:26:13.026383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
28.4%
1 16
 
9.9%
2 12
 
7.4%
3 8
 
4.9%
4 8
 
4.9%
11 4
 
2.5%
6 4
 
2.5%
5 4
 
2.5%
10 3
 
1.9%
8 3
 
1.9%
Other values (43) 54
33.3%
ValueCountFrequency (%)
0 46
28.4%
1 16
 
9.9%
2 12
 
7.4%
3 8
 
4.9%
4 8
 
4.9%
5 4
 
2.5%
6 4
 
2.5%
7 3
 
1.9%
8 3
 
1.9%
9 3
 
1.9%
ValueCountFrequency (%)
925 1
0.6%
877 1
0.6%
852 1
0.6%
800 1
0.6%
478 1
0.6%
363 1
0.6%
269 1
0.6%
258 1
0.6%
257 1
0.6%
171 1
0.6%

서산
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.265432
Minimum0
Maximum1523
Zeros43
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:13.446608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318.25
95-th percentile209.1
Maximum1523
Range1523
Interquartile range (IQR)18.25

Descriptive statistics

Standard deviation163.78549
Coefficient of variation (CV)3.7000766
Kurtosis47.491844
Mean44.265432
Median Absolute Deviation (MAD)3
Skewness6.3664584
Sum7171
Variance26825.687
MonotonicityNot monotonic
2024-05-04T08:26:14.070913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 43
26.5%
1 18
 
11.1%
2 17
 
10.5%
4 8
 
4.9%
8 6
 
3.7%
3 6
 
3.7%
10 4
 
2.5%
7 4
 
2.5%
23 3
 
1.9%
14 3
 
1.9%
Other values (38) 50
30.9%
ValueCountFrequency (%)
0 43
26.5%
1 18
11.1%
2 17
 
10.5%
3 6
 
3.7%
4 8
 
4.9%
5 1
 
0.6%
6 2
 
1.2%
7 4
 
2.5%
8 6
 
3.7%
10 4
 
2.5%
ValueCountFrequency (%)
1523 1
0.6%
901 1
0.6%
669 1
0.6%
597 1
0.6%
532 1
0.6%
395 1
0.6%
263 1
0.6%
225 1
0.6%
213 1
0.6%
135 1
0.6%

제천
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.728395
Minimum0
Maximum815
Zeros58
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:14.770225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile86.95
Maximum815
Range815
Interquartile range (IQR)11

Descriptive statistics

Standard deviation99.367254
Coefficient of variation (CV)3.583592
Kurtosis35.420004
Mean27.728395
Median Absolute Deviation (MAD)2
Skewness5.7111263
Sum4492
Variance9873.8512
MonotonicityNot monotonic
2024-05-04T08:26:15.349483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 58
35.8%
1 21
 
13.0%
6 9
 
5.6%
4 8
 
4.9%
2 7
 
4.3%
9 6
 
3.7%
7 5
 
3.1%
11 4
 
2.5%
13 3
 
1.9%
3 3
 
1.9%
Other values (34) 38
23.5%
ValueCountFrequency (%)
0 58
35.8%
1 21
 
13.0%
2 7
 
4.3%
3 3
 
1.9%
4 8
 
4.9%
5 2
 
1.2%
6 9
 
5.6%
7 5
 
3.1%
8 1
 
0.6%
9 6
 
3.7%
ValueCountFrequency (%)
815 1
0.6%
588 1
0.6%
493 1
0.6%
483 1
0.6%
330 1
0.6%
196 1
0.6%
122 1
0.6%
89 1
0.6%
87 1
0.6%
86 1
0.6%

논산
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.611111
Minimum0
Maximum791
Zeros57
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:15.970877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile106.45
Maximum791
Range791
Interquartile range (IQR)14

Descriptive statistics

Standard deviation90.013405
Coefficient of variation (CV)3.3825497
Kurtosis39.68367
Mean26.611111
Median Absolute Deviation (MAD)2
Skewness5.8844917
Sum4311
Variance8102.413
MonotonicityNot monotonic
2024-05-04T08:26:16.711367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 57
35.2%
1 18
 
11.1%
2 8
 
4.9%
3 7
 
4.3%
8 5
 
3.1%
5 5
 
3.1%
4 5
 
3.1%
9 5
 
3.1%
12 3
 
1.9%
15 3
 
1.9%
Other values (33) 46
28.4%
ValueCountFrequency (%)
0 57
35.2%
1 18
 
11.1%
2 8
 
4.9%
3 7
 
4.3%
4 5
 
3.1%
5 5
 
3.1%
6 3
 
1.9%
7 2
 
1.2%
8 5
 
3.1%
9 5
 
3.1%
ValueCountFrequency (%)
791 1
0.6%
451 1
0.6%
438 1
0.6%
432 1
0.6%
293 1
0.6%
158 1
0.6%
137 1
0.6%
131 1
0.6%
107 1
0.6%
96 1
0.6%

기타 도시
Real number (ℝ)

ZEROS 

Distinct142
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1212.142
Minimum0
Maximum23084
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:17.147823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q139.5
median154
Q3623.25
95-th percentile6237.3
Maximum23084
Range23084
Interquartile range (IQR)583.75

Descriptive statistics

Standard deviation3420.3515
Coefficient of variation (CV)2.8217417
Kurtosis21.357977
Mean1212.142
Median Absolute Deviation (MAD)137.5
Skewness4.4665092
Sum196367
Variance11698804
MonotonicityNot monotonic
2024-05-04T08:26:17.777283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 3
 
1.9%
14 3
 
1.9%
3 3
 
1.9%
29 3
 
1.9%
49 2
 
1.2%
74 2
 
1.2%
203 2
 
1.2%
7 2
 
1.2%
143 2
 
1.2%
12 2
 
1.2%
Other values (132) 138
85.2%
ValueCountFrequency (%)
0 2
1.2%
2 1
 
0.6%
3 3
1.9%
4 1
 
0.6%
5 1
 
0.6%
6 2
1.2%
7 2
1.2%
9 2
1.2%
10 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
23084 1
0.6%
20085 1
0.6%
18697 1
0.6%
14899 1
0.6%
13346 1
0.6%
10348 1
0.6%
8273 1
0.6%
6399 1
0.6%
6239 1
0.6%
6205 1
0.6%

도시이외
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean705.2963
Minimum0
Maximum13940
Zeros5
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-04T08:26:18.176789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.05
Q119.25
median87
Q3363
95-th percentile3735.95
Maximum13940
Range13940
Interquartile range (IQR)343.75

Descriptive statistics

Standard deviation2061.0686
Coefficient of variation (CV)2.9222734
Kurtosis25.216945
Mean705.2963
Median Absolute Deviation (MAD)80
Skewness4.8481592
Sum114258
Variance4248003.8
MonotonicityNot monotonic
2024-05-04T08:26:18.741020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 5
 
3.1%
0 5
 
3.1%
19 3
 
1.9%
4 3
 
1.9%
8 3
 
1.9%
12 3
 
1.9%
87 3
 
1.9%
1 3
 
1.9%
14 3
 
1.9%
3 2
 
1.2%
Other values (116) 129
79.6%
ValueCountFrequency (%)
0 5
3.1%
1 3
1.9%
2 1
 
0.6%
3 2
 
1.2%
4 3
1.9%
5 1
 
0.6%
7 5
3.1%
8 3
1.9%
9 1
 
0.6%
11 2
 
1.2%
ValueCountFrequency (%)
13940 1
0.6%
12849 1
0.6%
12543 1
0.6%
9273 1
0.6%
6289 1
0.6%
4774 1
0.6%
4131 1
0.6%
3782 1
0.6%
3743 1
0.6%
3602 1
0.6%

Sample

2017년서울 종로서울 중구서울 용산서울 성동서울 광진서울 동대문서울 중랑서울 성북서울 강북서울 도봉서울 노원서울 은평서울 서대문서울 마포서울 양천서울 강서서울 구로서울 금천서울 영등포서울 동작서울 관악서울 서초서울 강남서울 송파서울 강동부산 중구부산 서구부산 동구부산 영도부산 부산진부산 동래부산 남구부산 북구부산 해운대부산 사하부산 금정부산 강서부산 연제부산 수영부산 사상부산 기장군대구 중구대구 동구대구 서구대구 남구대구 북구대구 수성대구 달서대구 달성군인천 중구인천 동구인천 서구인천 미추홀인천 연수인천 남동인천 부평인천 계양인천 강화군인천 옹진군광주 동구광주 서구광주 남구광주 북구광주 광산대전 중구대전 동구대전 서구대전 유성대전 대덕울산 중구울산 동구울산 남구울산 북구울산 울주군부천수원성남전주안양청주창원광명포항안산진주고양제주목포의정부익산군산구미천안여수춘천원주평택경주김해순천군포남양주강릉충주안동경산아산거제김천정읍용인시흥파주양산이천구리서산제천논산기타 도시도시이외
0절도16481839138510742178155415361347101463415401388122920971591188717329882311123021341821314422791648102167267641124691108105390415391082919520876791127552711091262704650123293420334095581861201163984015832282824102186331152572155193711501305194010777696906011234391668408255093136195418233221356810542021290616432493236696816069191040156828688441068140920749822266820764136167478448110531431979368280232212941028824622800669483451148999273
1장물26163410232010569141033413199419112919431511321419201023142205015155251055312732161312223015206112550047479711124472634305239141813568715419321349183151028125164143017410117161256362017287
2사기15631992132617671599178412211276126610431794152416421729142022422038134434971314230642277804293115778025649929282564119516311045190414211360758134174116026028591687966765173319392328583836236214621611241254021071189205739841611701160617991288121023991181750103177719795719525248645637962916228842225573110625933690155741042518126920451339189226003360123894416452698119825141051100918588677877877511090149035138629502102212713837408779014937912308412849
3횡령57963378743454046551842232625150640156180944265362036879548563610211494153748412885127857992231841654772281751302021082011483293891591682862924001013194648649023743457930344112803441293664073512333932521331529843183132101213749893918236358244062938641811314527202605145260308731150170252591270435173222437149174882242312805150815323365169160257135877043291980
4배임4410146434433162712203023345638334341733335149221103348129104513252374311820302723151316181319345223243323433302914741732424161313353761519691731689283466586103844713487451226252739722819335941443218407815182237810713333231213192017699364
5손괴407313433261393339567413295242488414383556453548480291585306675396729545505132154138944712572542614363232139625724125713118240830519735843861614716046525717326635720237811519234018936439327232947619719527323641315222410931565925501613104596930261211823418378703636912562634648753743435938172825782792786213572841933414102811319573463438620526525826319613153982974
6살인60116115782464331185153810765124193845912157146416812720452667403014357352622433162084161512209919866691746595862104640774010665842638798
7강도109531333873941834845681320110734313711876416713246473690531023215870057451219412254314041326141113132111717414335157581555791184476614843013867240437641
8방화132656111487910810610116514813710111132349661126148315571535106131251132151017701375137871131011664426281611102514562420271218231011162210101317915116191053412376168111024897121113
9성폭력3513964152094262302192582721422523002517852394145093136545245346621031396232885887644281531561132501711343914812516556157125827521216229558127353093671864687291933012992328024621517615634116592698021771726378916323284444914501382475681674813691452859311020436212913217029310822713813925211711975110122131494334928121012913714279566022471556
2017년서울 종로서울 중구서울 용산서울 성동서울 광진서울 동대문서울 중랑서울 성북서울 강북서울 도봉서울 노원서울 은평서울 서대문서울 마포서울 양천서울 강서서울 구로서울 금천서울 영등포서울 동작서울 관악서울 서초서울 강남서울 송파서울 강동부산 중구부산 서구부산 동구부산 영도부산 부산진부산 동래부산 남구부산 북구부산 해운대부산 사하부산 금정부산 강서부산 연제부산 수영부산 사상부산 기장군대구 중구대구 동구대구 서구대구 남구대구 북구대구 수성대구 달서대구 달성군인천 중구인천 동구인천 서구인천 미추홀인천 연수인천 남동인천 부평인천 계양인천 강화군인천 옹진군광주 동구광주 서구광주 남구광주 북구광주 광산대전 중구대전 동구대전 서구대전 유성대전 대덕울산 중구울산 동구울산 남구울산 북구울산 울주군부천수원성남전주안양청주창원광명포항안산진주고양제주목포의정부익산군산구미천안여수춘천원주평택경주김해순천군포남양주강릉충주안동경산아산거제김천정읍용인시흥파주양산이천구리서산제천논산기타 도시도시이외
152폐기물관리법201100011000210001101348021103003512180021214209058402661121136003648401420243121004621515434338221334571835161483524137732551031956832245124217078437263
153풍속영업의 규제에 관한법률03103000314334215010040337800033300010003009441050102101260000010000000000017051401006010021304001020000000000004010200800132
154하천법000200010000010000100000000000001102200000001000000000000000000000001000040000024000011021001011322500110120000040150000037100
155학교보건법1220200121001200110431170002095411600024000000000000403000000000000000010000000000010020100000100000000000000000000000030
156학원의설립운영및과외교습에관한법률1243452101063491067109124912500106243400001030010021010417381200110221751001015301016753042610251124501021250494111102001731400110567
157화물자동차운수사업법2782292416511610116151213153125122817141722106331614217121011455081218181612710183152176112231163100261587765701153188698481452920124412204520693101659154941760223888125191108101101312338
158화재로 인한 재해보상과 보험가입에 관한법률0000000000000000000000000000000000000000000000000000000000000000000000000000001400000000000000000000200000000001000000160
159화재예방·소방시설설치유지및안전관리에관한법률00000010000001000010000100000000000000000000000000000000100000000101000000000000000000001002000010010000000001000000000111
160화학물질관리법64411220333121752790411132200003022312010211540131202402442133400262524201224131592717212016616298407023718121431372500014200123510242007350
161기타 특별법24627024615026023926623630120531519917237026334741621245125936353381664728996891181174362012161922442711181901981492261042141591621092691804801171309445365403947045283416086166351812741851991383192039914611324312710717308056425763747466771605268991448025416422692233813126575362183281578202207122104429294123124156243257677836651230817718611915238413763993602