Overview

Dataset statistics

Number of variables89
Number of observations42
Missing cells351
Missing cells (%)9.4%
Duplicate rows1
Duplicate rows (%)2.4%
Total size in memory32.9 KiB
Average record size in memory801.1 B

Variable types

Categorical1
Text2
Numeric86

Dataset

Description전국 경찰관서에 고소, 고발, 인지 등으로 형사입건된 사건의 발생, 검거, 피의자에 대한 지역별 분석 현황범죄대분류, 범죄중분류, 서울, 부산, 대구, 인천, 광주, 대전 울산, 세종, 경기도 지역으로 구분하여 발생 건수 제공
Author경찰청
URLhttps://www.data.go.kr/data/3074462/fileData.do

Alerts

Dataset has 1 (2.4%) duplicate rowsDuplicates
범죄중분류 has 4 (9.5%) missing valuesMissing
서울 has 4 (9.5%) missing valuesMissing
부산 has 3 (7.1%) missing valuesMissing
대구 has 4 (9.5%) missing valuesMissing
인천 has 4 (9.5%) missing valuesMissing
광주 has 4 (9.5%) missing valuesMissing
대전 has 4 (9.5%) missing valuesMissing
울산 has 4 (9.5%) missing valuesMissing
세종 has 4 (9.5%) missing valuesMissing
경기 고양 has 4 (9.5%) missing valuesMissing
경기 과천 has 4 (9.5%) missing valuesMissing
경기 광명 has 4 (9.5%) missing valuesMissing
경기 광주 has 4 (9.5%) missing valuesMissing
경기 구리 has 4 (9.5%) missing valuesMissing
경기 군포 has 4 (9.5%) missing valuesMissing
경기 김포 has 4 (9.5%) missing valuesMissing
경기 남양주 has 4 (9.5%) missing valuesMissing
경기 동두천 has 4 (9.5%) missing valuesMissing
경기 부천 has 4 (9.5%) missing valuesMissing
경기 성남 has 4 (9.5%) missing valuesMissing
경기 수원 has 4 (9.5%) missing valuesMissing
경기 시흥 has 4 (9.5%) missing valuesMissing
경기 안산 has 4 (9.5%) missing valuesMissing
경기 안성 has 4 (9.5%) missing valuesMissing
경기 안양 has 4 (9.5%) missing valuesMissing
경기 양주 has 4 (9.5%) missing valuesMissing
경기 여주 has 4 (9.5%) missing valuesMissing
경기 오산 has 4 (9.5%) missing valuesMissing
경기 용인 has 4 (9.5%) missing valuesMissing
경기 의왕 has 4 (9.5%) missing valuesMissing
경기 의정부 has 4 (9.5%) missing valuesMissing
경기 이천 has 4 (9.5%) missing valuesMissing
경기 파주 has 4 (9.5%) missing valuesMissing
경기 평택 has 4 (9.5%) missing valuesMissing
경기 포천 has 4 (9.5%) missing valuesMissing
경기 하남 has 4 (9.5%) missing valuesMissing
경기 화성 has 4 (9.5%) missing valuesMissing
강원 강릉 has 4 (9.5%) missing valuesMissing
강원 동해 has 4 (9.5%) missing valuesMissing
강원 삼척 has 4 (9.5%) missing valuesMissing
강원 속초 has 4 (9.5%) missing valuesMissing
강원 원주 has 4 (9.5%) missing valuesMissing
강원 춘천 has 4 (9.5%) missing valuesMissing
강원 태백 has 4 (9.5%) missing valuesMissing
충북 제천 has 4 (9.5%) missing valuesMissing
충북 청주 has 4 (9.5%) missing valuesMissing
충북 충주 has 4 (9.5%) missing valuesMissing
충남 계룡 has 4 (9.5%) missing valuesMissing
충남 공주 has 4 (9.5%) missing valuesMissing
충남 논산 has 4 (9.5%) missing valuesMissing
충남 당진 has 4 (9.5%) missing valuesMissing
충남 보령 has 4 (9.5%) missing valuesMissing
충남 서산 has 4 (9.5%) missing valuesMissing
충남 아산 has 4 (9.5%) missing valuesMissing
충남 천안 has 4 (9.5%) missing valuesMissing
전북 군산 has 4 (9.5%) missing valuesMissing
전북 김제 has 4 (9.5%) missing valuesMissing
전북 남원 has 4 (9.5%) missing valuesMissing
전북 익산 has 4 (9.5%) missing valuesMissing
전북 전주 has 4 (9.5%) missing valuesMissing
전북 정읍 has 4 (9.5%) missing valuesMissing
전남 광양 has 4 (9.5%) missing valuesMissing
전남 나주 has 4 (9.5%) missing valuesMissing
전남 목포 has 4 (9.5%) missing valuesMissing
전남 순천 has 4 (9.5%) missing valuesMissing
전남 여수 has 4 (9.5%) missing valuesMissing
경북 경산 has 4 (9.5%) missing valuesMissing
경북 경주 has 4 (9.5%) missing valuesMissing
경북 구미 has 4 (9.5%) missing valuesMissing
경북 김천 has 4 (9.5%) missing valuesMissing
경북 문경 has 4 (9.5%) missing valuesMissing
경북 상주 has 4 (9.5%) missing valuesMissing
경북 안동 has 4 (9.5%) missing valuesMissing
경북 영주 has 4 (9.5%) missing valuesMissing
경북 영천 has 4 (9.5%) missing valuesMissing
경북 포항 has 4 (9.5%) missing valuesMissing
경남 거제 has 4 (9.5%) missing valuesMissing
경남 김해 has 4 (9.5%) missing valuesMissing
경남 밀양 has 4 (9.5%) missing valuesMissing
경남 사천 has 4 (9.5%) missing valuesMissing
경남 양산 has 4 (9.5%) missing valuesMissing
경남 진주 has 4 (9.5%) missing valuesMissing
경남 창원 has 4 (9.5%) missing valuesMissing
경남 통영 has 4 (9.5%) missing valuesMissing
제주 서귀포 has 4 (9.5%) missing valuesMissing
제주 제주 has 4 (9.5%) missing valuesMissing
기타도시 has 4 (9.5%) missing valuesMissing
도시이외 has 4 (9.5%) missing valuesMissing
광주 has 1 (2.4%) zerosZeros
대전 has 1 (2.4%) zerosZeros
세종 has 3 (7.1%) zerosZeros
경기 과천 has 9 (21.4%) zerosZeros
경기 광명 has 4 (9.5%) zerosZeros
경기 광주 has 2 (4.8%) zerosZeros
경기 구리 has 5 (11.9%) zerosZeros
경기 군포 has 7 (16.7%) zerosZeros
경기 김포 has 1 (2.4%) zerosZeros
경기 남양주 has 3 (7.1%) zerosZeros
경기 동두천 has 6 (14.3%) zerosZeros
경기 부천 has 2 (4.8%) zerosZeros
경기 성남 has 1 (2.4%) zerosZeros
경기 안산 has 2 (4.8%) zerosZeros
경기 안성 has 5 (11.9%) zerosZeros
경기 양주 has 6 (14.3%) zerosZeros
경기 여주 has 4 (9.5%) zerosZeros
경기 오산 has 2 (4.8%) zerosZeros
경기 용인 has 1 (2.4%) zerosZeros
경기 의왕 has 6 (14.3%) zerosZeros
경기 의정부 has 1 (2.4%) zerosZeros
경기 이천 has 5 (11.9%) zerosZeros
경기 평택 has 2 (4.8%) zerosZeros
경기 포천 has 3 (7.1%) zerosZeros
경기 하남 has 8 (19.0%) zerosZeros
경기 화성 has 3 (7.1%) zerosZeros
강원 강릉 has 7 (16.7%) zerosZeros
강원 동해 has 8 (19.0%) zerosZeros
강원 삼척 has 6 (14.3%) zerosZeros
강원 속초 has 5 (11.9%) zerosZeros
강원 원주 has 1 (2.4%) zerosZeros
강원 춘천 has 1 (2.4%) zerosZeros
강원 태백 has 9 (21.4%) zerosZeros
충북 제천 has 6 (14.3%) zerosZeros
충북 청주 has 1 (2.4%) zerosZeros
충북 충주 has 1 (2.4%) zerosZeros
충남 계룡 has 16 (38.1%) zerosZeros
충남 공주 has 4 (9.5%) zerosZeros
충남 논산 has 3 (7.1%) zerosZeros
충남 당진 has 5 (11.9%) zerosZeros
충남 보령 has 6 (14.3%) zerosZeros
충남 서산 has 8 (19.0%) zerosZeros
충남 아산 has 4 (9.5%) zerosZeros
충남 천안 has 1 (2.4%) zerosZeros
전북 김제 has 9 (21.4%) zerosZeros
전북 남원 has 7 (16.7%) zerosZeros
전북 익산 has 3 (7.1%) zerosZeros
전북 전주 has 2 (4.8%) zerosZeros
전북 정읍 has 5 (11.9%) zerosZeros
전남 광양 has 3 (7.1%) zerosZeros
전남 나주 has 7 (16.7%) zerosZeros
전남 목포 has 1 (2.4%) zerosZeros
전남 순천 has 3 (7.1%) zerosZeros
전남 여수 has 3 (7.1%) zerosZeros
경북 경산 has 4 (9.5%) zerosZeros
경북 경주 has 4 (9.5%) zerosZeros
경북 구미 has 2 (4.8%) zerosZeros
경북 김천 has 6 (14.3%) zerosZeros
경북 문경 has 8 (19.0%) zerosZeros
경북 상주 has 7 (16.7%) zerosZeros
경북 안동 has 7 (16.7%) zerosZeros
경북 영주 has 9 (21.4%) zerosZeros
경북 영천 has 8 (19.0%) zerosZeros
경북 포항 has 2 (4.8%) zerosZeros
경남 거제 has 4 (9.5%) zerosZeros
경남 김해 has 1 (2.4%) zerosZeros
경남 밀양 has 5 (11.9%) zerosZeros
경남 사천 has 8 (19.0%) zerosZeros
경남 양산 has 2 (4.8%) zerosZeros
경남 진주 has 4 (9.5%) zerosZeros
경남 창원 has 1 (2.4%) zerosZeros
경남 통영 has 6 (14.3%) zerosZeros
제주 서귀포 has 2 (4.8%) zerosZeros
제주 제주 has 1 (2.4%) zerosZeros
기타도시 has 3 (7.1%) zerosZeros

Reproduction

Analysis started2024-04-21 02:47:57.501479
Analysis finished2024-04-21 02:47:58.548907
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

범죄대분류
Categorical

Distinct16
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
지능범죄
강력범죄
폭력범죄
<NA>
풍속범죄
Other values (11)
11 

Length

Max length6
Median length4
Mean length4.047619
Min length4

Unique

Unique11 ?
Unique (%)26.2%

Sample

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

Common Values

ValueCountFrequency (%)
지능범죄 9
21.4%
강력범죄 8
19.0%
폭력범죄 8
19.0%
<NA> 4
9.5%
풍속범죄 2
 
4.8%
절도범죄 1
 
2.4%
특별경제범죄 1
 
2.4%
마약범죄 1
 
2.4%
보건범죄 1
 
2.4%
환경범죄 1
 
2.4%
Other values (6) 6
14.3%

Length

2024-04-21T11:47:58.628593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지능범죄 9
21.4%
강력범죄 8
19.0%
폭력범죄 8
19.0%
na 4
9.5%
풍속범죄 2
 
4.8%
절도범죄 1
 
2.4%
특별경제범죄 1
 
2.4%
마약범죄 1
 
2.4%
보건범죄 1
 
2.4%
환경범죄 1
 
2.4%
Other values (6) 6
14.3%

범죄중분류
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing4
Missing (%)9.5%
Memory size468.0 B
2024-04-21T11:47:58.825490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7.5
Mean length3.6578947
Min length2

Characters and Unicode

Total characters139
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row살인기수
2nd row살인미수등
3rd row강도
4th row강간
5th row유사강간
ValueCountFrequency (%)
폭행 1
 
2.6%
통화 1
 
2.6%
유가증권인지 1
 
2.6%
사기 1
 
2.6%
횡령 1
 
2.6%
배임 1
 
2.6%
성풍속범죄 1
 
2.6%
도박범죄 1
 
2.6%
특별경제범죄 1
 
2.6%
문서인장 1
 
2.6%
Other values (28) 28
73.7%
2024-04-21T11:47:59.147827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
9.4%
13
 
9.4%
6
 
4.3%
5
 
3.6%
5
 
3.6%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (62) 80
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
9.4%
13
 
9.4%
6
 
4.3%
5
 
3.6%
5
 
3.6%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
Other values (62) 80
57.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
100.0%

Most frequent character per block

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

서울
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean8070.0263
Minimum29
Maximum61132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:47:59.281836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile47.55
Q1155.25
median909
Q34727
95-th percentile43653.5
Maximum61132
Range61103
Interquartile range (IQR)4571.75

Descriptive statistics

Standard deviation15889.098
Coefficient of variation (CV)1.9689028
Kurtosis4.3591387
Mean8070.0263
Median Absolute Deviation (MAD)849
Skewness2.304973
Sum306661
Variance2.5246343 × 108
MonotonicityNot monotonic
2024-04-21T11:47:59.398848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1544 1
 
2.4%
61 1
 
2.4%
54270 1
 
2.4%
15958 1
 
2.4%
1009 1
 
2.4%
3902 1
 
2.4%
809 1
 
2.4%
13821 1
 
2.4%
2886 1
 
2.4%
450 1
 
2.4%
Other values (28) 28
66.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
29 1
2.4%
45 1
2.4%
48 1
2.4%
59 1
2.4%
61 1
2.4%
62 1
2.4%
65 1
2.4%
97 1
2.4%
139 1
2.4%
147 1
2.4%
ValueCountFrequency (%)
61132 1
2.4%
54270 1
2.4%
41780 1
2.4%
39182 1
2.4%
34321 1
2.4%
15958 1
2.4%
13821 1
2.4%
10845 1
2.4%
5119 1
2.4%
5002 1
2.4%

부산
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing3
Missing (%)7.1%
Memory size468.0 B
2024-04-21T11:47:59.566386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.025641
Min length1

Characters and Unicode

Total characters118
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row26
2nd row27
3rd row86
4th row323
5th row46
ValueCountFrequency (%)
46 2
 
5.3%
14 1
 
2.6%
632 1
 
2.6%
26 1
 
2.6%
1441 1
 
2.6%
22724 1
 
2.6%
3611 1
 
2.6%
290 1
 
2.6%
1010 1
 
2.6%
1212 1
 
2.6%
Other values (27) 27
71.1%
2024-04-21T11:47:59.881614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 21
17.8%
3 16
13.6%
4 15
12.7%
2 14
11.9%
0 13
11.0%
6 11
9.3%
7 9
7.6%
8 8
 
6.8%
9 7
 
5.9%
5 3
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 117
99.2%
Space Separator 1
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
17.9%
3 16
13.7%
4 15
12.8%
2 14
12.0%
0 13
11.1%
6 11
9.4%
7 9
7.7%
8 8
 
6.8%
9 7
 
6.0%
5 3
 
2.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 21
17.8%
3 16
13.6%
4 15
12.7%
2 14
11.9%
0 13
11.0%
6 11
9.3%
7 9
7.6%
8 8
 
6.8%
9 7
 
5.9%
5 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 21
17.8%
3 16
13.6%
4 15
12.7%
2 14
11.9%
0 13
11.0%
6 11
9.3%
7 9
7.6%
8 8
 
6.8%
9 7
 
5.9%
5 3
 
2.5%

대구
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)94.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean1901.8421
Minimum5
Maximum22200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:00.047355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.85
Q132.75
median193
Q3729
95-th percentile8749.65
Maximum22200
Range22195
Interquartile range (IQR)696.25

Descriptive statistics

Standard deviation4363.2905
Coefficient of variation (CV)2.2942444
Kurtosis12.89352
Mean1901.8421
Median Absolute Deviation (MAD)183
Skewness3.3838085
Sum72270
Variance19038304
MonotonicityNot monotonic
2024-04-21T11:48:00.161722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
44 2
 
4.8%
5 2
 
4.8%
266 1
 
2.4%
12040 1
 
2.4%
2192 1
 
2.4%
119 1
 
2.4%
535 1
 
2.4%
242 1
 
2.4%
2187 1
 
2.4%
357 1
 
2.4%
Other values (26) 26
61.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
5 2
4.8%
6 1
2.4%
9 1
2.4%
11 1
2.4%
18 1
2.4%
19 1
2.4%
21 1
2.4%
22 1
2.4%
29 1
2.4%
44 2
4.8%
ValueCountFrequency (%)
22200 1
2.4%
12040 1
2.4%
8169 1
2.4%
8076 1
2.4%
6821 1
2.4%
2694 1
2.4%
2520 1
2.4%
2192 1
2.4%
2187 1
2.4%
741 1
2.4%

인천
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean2321.7895
Minimum4
Maximum18173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:00.281529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile13.25
Q131
median291
Q31141.25
95-th percentile13249.8
Maximum18173
Range18169
Interquartile range (IQR)1110.25

Descriptive statistics

Standard deviation4638.3513
Coefficient of variation (CV)1.9977484
Kurtosis4.5442706
Mean2321.7895
Median Absolute Deviation (MAD)272.5
Skewness2.3461802
Sum88228
Variance21514302
MonotonicityNot monotonic
2024-04-21T11:48:00.411372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
558 1
 
2.4%
9 1
 
2.4%
15130 1
 
2.4%
3350 1
 
2.4%
189 1
 
2.4%
970 1
 
2.4%
262 1
 
2.4%
3800 1
 
2.4%
452 1
 
2.4%
96 1
 
2.4%
Other values (28) 28
66.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
4 1
2.4%
9 1
2.4%
14 1
2.4%
15 1
2.4%
18 1
2.4%
19 1
2.4%
20 1
2.4%
21 1
2.4%
23 1
2.4%
29 1
2.4%
ValueCountFrequency (%)
18173 1
2.4%
15130 1
2.4%
12918 1
2.4%
11711 1
2.4%
9473 1
2.4%
3800 1
2.4%
3570 1
2.4%
3350 1
2.4%
1839 1
2.4%
1160 1
2.4%

광주
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)94.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean1145.1316
Minimum0
Maximum13779
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:00.528430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.85
Q115.75
median90.5
Q3452.75
95-th percentile5316
Maximum13779
Range13779
Interquartile range (IQR)437

Descriptive statistics

Standard deviation2685.2392
Coefficient of variation (CV)2.3449176
Kurtosis13.431529
Mean1145.1316
Median Absolute Deviation (MAD)88
Skewness3.4469021
Sum43515
Variance7210509.7
MonotonicityNot monotonic
2024-04-21T11:48:00.640513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
27 2
 
4.8%
12 2
 
4.8%
197 1
 
2.4%
56 1
 
2.4%
7084 1
 
2.4%
1425 1
 
2.4%
82 1
 
2.4%
350 1
 
2.4%
127 1
 
2.4%
1210 1
 
2.4%
Other values (26) 26
61.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
2.4%
2 1
2.4%
3 1
2.4%
5 1
2.4%
8 1
2.4%
10 1
2.4%
12 2
4.8%
13 1
2.4%
15 1
2.4%
18 1
2.4%
ValueCountFrequency (%)
13779 1
2.4%
7084 1
2.4%
5004 1
2.4%
4832 1
2.4%
4552 1
2.4%
1425 1
2.4%
1415 1
2.4%
1210 1
2.4%
1039 1
2.4%
481 1
2.4%

대전
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)89.5%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean1196.1579
Minimum0
Maximum11967
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:00.771309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q120.5
median123.5
Q3624.5
95-th percentile6046.75
Maximum11967
Range11967
Interquartile range (IQR)604

Descriptive statistics

Standard deviation2601.6035
Coefficient of variation (CV)2.1749666
Kurtosis8.256533
Mean1196.1579
Median Absolute Deviation (MAD)113.5
Skewness2.8464997
Sum45454
Variance6768340.8
MonotonicityNot monotonic
2024-04-21T11:48:00.890987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20 2
 
4.8%
142 2
 
4.8%
2 2
 
4.8%
13 2
 
4.8%
532 1
 
2.4%
9 1
 
2.4%
5199 1
 
2.4%
448 1
 
2.4%
26 1
 
2.4%
0 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
2.4%
2 2
4.8%
4 1
2.4%
9 1
2.4%
11 1
2.4%
13 2
4.8%
20 2
4.8%
22 1
2.4%
26 1
2.4%
36 1
2.4%
ValueCountFrequency (%)
11967 1
2.4%
7938 1
2.4%
5713 1
2.4%
5540 1
2.4%
5199 1
2.4%
1497 1
2.4%
1348 1
2.4%
1262 1
2.4%
1012 1
2.4%
632 1
2.4%

울산
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)94.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean904.97368
Minimum1
Maximum9956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:01.024173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110.25
median79
Q3300.5
95-th percentile4906.15
Maximum9956
Range9955
Interquartile range (IQR)290.25

Descriptive statistics

Standard deviation2072.0341
Coefficient of variation (CV)2.289607
Kurtosis10.252133
Mean904.97368
Median Absolute Deviation (MAD)74.5
Skewness3.101271
Sum34389
Variance4293325.3
MonotonicityNot monotonic
2024-04-21T11:48:01.136703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2 2
 
4.8%
9 2
 
4.8%
108 1
 
2.4%
77 1
 
2.4%
807 1
 
2.4%
87 1
 
2.4%
187 1
 
2.4%
114 1
 
2.4%
938 1
 
2.4%
52 1
 
2.4%
Other values (26) 26
61.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
1 1
2.4%
2 2
4.8%
4 1
2.4%
5 1
2.4%
7 1
2.4%
8 1
2.4%
9 2
4.8%
10 1
2.4%
11 1
2.4%
17 1
2.4%
ValueCountFrequency (%)
9956 1
2.4%
6233 1
2.4%
4672 1
2.4%
3757 1
2.4%
3349 1
2.4%
1264 1
2.4%
1127 1
2.4%
938 1
2.4%
807 1
2.4%
301 1
2.4%

세종
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)76.3%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean135.68421
Minimum0
Maximum1398
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:01.243521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median13
Q3103.5
95-th percentile705.1
Maximum1398
Range1398
Interquartile range (IQR)100.25

Descriptive statistics

Standard deviation300.51281
Coefficient of variation (CV)2.2147958
Kurtosis9.7016702
Mean135.68421
Median Absolute Deviation (MAD)11.5
Skewness3.0772167
Sum5156
Variance90307.952
MonotonicityNot monotonic
2024-04-21T11:48:01.346717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 4
 
9.5%
5 3
 
7.1%
0 3
 
7.1%
4 2
 
4.8%
3 2
 
4.8%
1040 1
 
2.4%
646 1
 
2.4%
115 1
 
2.4%
8 1
 
2.4%
1398 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
1 1
 
2.4%
2 4
9.5%
3 2
4.8%
4 2
4.8%
5 3
7.1%
6 1
 
2.4%
8 1
 
2.4%
9 1
 
2.4%
11 1
 
2.4%
ValueCountFrequency (%)
1398 1
2.4%
1040 1
2.4%
646 1
2.4%
588 1
2.4%
301 1
2.4%
213 1
2.4%
177 1
2.4%
176 1
2.4%
130 1
2.4%
115 1
2.4%

경기 고양
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)94.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean709.39474
Minimum1
Maximum7349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:01.450743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q111
median79
Q3340.75
95-th percentile3517.3
Maximum7349
Range7348
Interquartile range (IQR)329.75

Descriptive statistics

Standard deviation1540.5321
Coefficient of variation (CV)2.1716148
Kurtosis9.766321
Mean709.39474
Median Absolute Deviation (MAD)75
Skewness3.0239338
Sum26957
Variance2373239.1
MonotonicityNot monotonic
2024-04-21T11:48:01.570504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5 2
 
4.8%
4 2
 
4.8%
190 1
 
2.4%
1482 1
 
2.4%
57 1
 
2.4%
270 1
 
2.4%
85 1
 
2.4%
953 1
 
2.4%
93 1
 
2.4%
68 1
 
2.4%
Other values (26) 26
61.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
1 1
2.4%
3 1
2.4%
4 2
4.8%
5 2
4.8%
6 1
2.4%
7 1
2.4%
9 1
2.4%
10 1
2.4%
14 1
2.4%
20 1
2.4%
ValueCountFrequency (%)
7349 1
2.4%
4794 1
2.4%
3292 1
2.4%
3056 1
2.4%
2262 1
2.4%
1482 1
2.4%
953 1
2.4%
903 1
2.4%
480 1
2.4%
348 1
2.4%

경기 과천
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)52.6%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean46.763158
Minimum0
Maximum607
Zeros9
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:01.690754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3.5
Q323
95-th percentile258.5
Maximum607
Range607
Interquartile range (IQR)22

Descriptive statistics

Standard deviation116.6342
Coefficient of variation (CV)2.4941472
Kurtosis14.943735
Mean46.763158
Median Absolute Deviation (MAD)3.5
Skewness3.6711203
Sum1777
Variance13603.537
MonotonicityNot monotonic
2024-04-21T11:48:01.970573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9
21.4%
1 7
16.7%
14 3
 
7.1%
6 2
 
4.8%
3 2
 
4.8%
13 1
 
2.4%
318 1
 
2.4%
4 1
 
2.4%
607 1
 
2.4%
8 1
 
2.4%
Other values (10) 10
23.8%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 9
21.4%
1 7
16.7%
2 1
 
2.4%
3 2
 
4.8%
4 1
 
2.4%
6 2
 
4.8%
8 1
 
2.4%
13 1
 
2.4%
14 3
 
7.1%
17 1
 
2.4%
ValueCountFrequency (%)
607 1
2.4%
318 1
2.4%
248 1
2.4%
175 1
2.4%
122 1
2.4%
63 1
2.4%
43 1
2.4%
38 1
2.4%
27 1
2.4%
25 1
2.4%

경기 광명
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)76.3%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean220.10526
Minimum0
Maximum2169
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:02.079432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median22
Q3101
95-th percentile1071.1
Maximum2169
Range2169
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation465.66365
Coefficient of variation (CV)2.1156407
Kurtosis8.2601723
Mean220.10526
Median Absolute Deviation (MAD)21.5
Skewness2.8011538
Sum8364
Variance216842.64
MonotonicityNot monotonic
2024-04-21T11:48:02.193533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
6 4
 
9.5%
0 4
 
9.5%
1 3
 
7.1%
3 2
 
4.8%
103 1
 
2.4%
365 1
 
2.4%
982 1
 
2.4%
83 1
 
2.4%
15 1
 
2.4%
2169 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 4
9.5%
1 3
7.1%
2 1
 
2.4%
3 2
4.8%
5 1
 
2.4%
6 4
9.5%
7 1
 
2.4%
8 1
 
2.4%
15 1
 
2.4%
20 1
 
2.4%
ValueCountFrequency (%)
2169 1
2.4%
1321 1
2.4%
1027 1
2.4%
982 1
2.4%
980 1
2.4%
376 1
2.4%
365 1
2.4%
301 1
2.4%
164 1
2.4%
103 1
2.4%

경기 광주
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean256.39474
Minimum0
Maximum3071
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:02.299751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q13.25
median22
Q3139.75
95-th percentile1261.35
Maximum3071
Range3071
Interquartile range (IQR)136.5

Descriptive statistics

Standard deviation598.3365
Coefficient of variation (CV)2.3336536
Kurtosis13.479695
Mean256.39474
Median Absolute Deviation (MAD)21
Skewness3.4596325
Sum9743
Variance358006.57
MonotonicityNot monotonic
2024-04-21T11:48:02.421412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2 4
 
9.5%
3 2
 
4.8%
1 2
 
4.8%
17 2
 
4.8%
0 2
 
4.8%
9 2
 
4.8%
812 1
 
2.4%
25 1
 
2.4%
1203 1
 
2.4%
112 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
4.8%
1 2
4.8%
2 4
9.5%
3 2
4.8%
4 1
 
2.4%
6 1
 
2.4%
7 1
 
2.4%
8 1
 
2.4%
9 2
4.8%
17 2
4.8%
ValueCountFrequency (%)
3071 1
2.4%
1592 1
2.4%
1203 1
2.4%
1122 1
2.4%
812 1
2.4%
378 1
2.4%
317 1
2.4%
286 1
2.4%
152 1
2.4%
149 1
2.4%

경기 구리
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean169.94737
Minimum0
Maximum1578
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:02.530085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14.5
Q384.75
95-th percentile906.65
Maximum1578
Range1578
Interquartile range (IQR)82.75

Descriptive statistics

Standard deviation354.0016
Coefficient of variation (CV)2.0830072
Kurtosis6.7535904
Mean169.94737
Median Absolute Deviation (MAD)14.5
Skewness2.6204083
Sum6458
Variance125317.13
MonotonicityNot monotonic
2024-04-21T11:48:02.639414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 5
 
11.9%
2 4
 
9.5%
9 4
 
9.5%
1 2
 
4.8%
18 2
 
4.8%
833 1
 
2.4%
11 1
 
2.4%
763 1
 
2.4%
63 1
 
2.4%
1578 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 5
11.9%
1 2
 
4.8%
2 4
9.5%
3 1
 
2.4%
5 1
 
2.4%
6 1
 
2.4%
9 4
9.5%
11 1
 
2.4%
18 2
 
4.8%
26 1
 
2.4%
ValueCountFrequency (%)
1578 1
2.4%
967 1
2.4%
896 1
2.4%
833 1
2.4%
763 1
2.4%
281 1
2.4%
238 1
2.4%
213 1
2.4%
144 1
2.4%
86 1
2.4%

경기 군포
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)65.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean148.92105
Minimum0
Maximum1267
Zeros7
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:02.758334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median14.5
Q375.5
95-th percentile759.1
Maximum1267
Range1267
Interquartile range (IQR)73.25

Descriptive statistics

Standard deviation305.04536
Coefficient of variation (CV)2.0483696
Kurtosis5.6172245
Mean148.92105
Median Absolute Deviation (MAD)14.5
Skewness2.4822812
Sum5659
Variance93052.669
MonotonicityNot monotonic
2024-04-21T11:48:02.861938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 7
16.7%
3 5
 
11.9%
62 2
 
4.8%
38 2
 
4.8%
2 2
 
4.8%
19 1
 
2.4%
689 1
 
2.4%
9 1
 
2.4%
1267 1
 
2.4%
4 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 7
16.7%
1 1
 
2.4%
2 2
 
4.8%
3 5
11.9%
4 1
 
2.4%
7 1
 
2.4%
9 1
 
2.4%
14 1
 
2.4%
15 1
 
2.4%
18 1
 
2.4%
ValueCountFrequency (%)
1267 1
2.4%
1026 1
2.4%
712 1
2.4%
689 1
2.4%
658 1
2.4%
252 1
2.4%
246 1
2.4%
237 1
2.4%
104 1
2.4%
80 1
2.4%

경기 김포
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean291.34211
Minimum0
Maximum3289
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:02.961849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12.5
median22.5
Q3105.5
95-th percentile1506.8
Maximum3289
Range3289
Interquartile range (IQR)103

Descriptive statistics

Standard deviation673.08613
Coefficient of variation (CV)2.3102947
Kurtosis11.062467
Mean291.34211
Median Absolute Deviation (MAD)21.5
Skewness3.1894893
Sum11071
Variance453044.93
MonotonicityNot monotonic
2024-04-21T11:48:03.065861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 6
 
14.3%
7 3
 
7.1%
4 3
 
7.1%
2 3
 
7.1%
404 2
 
4.8%
25 1
 
2.4%
38 1
 
2.4%
1415 1
 
2.4%
58 1
 
2.4%
3289 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 6
14.3%
2 3
7.1%
4 3
7.1%
7 3
7.1%
12 1
 
2.4%
16 1
 
2.4%
21 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
ValueCountFrequency (%)
3289 1
2.4%
2027 1
2.4%
1415 1
2.4%
1181 1
2.4%
1010 1
2.4%
501 1
2.4%
404 2
4.8%
159 1
2.4%
113 1
2.4%
83 1
2.4%

경기 남양주
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean409.5
Minimum0
Maximum4339
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:03.179917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.75
median48
Q3271.25
95-th percentile2152.05
Maximum4339
Range4339
Interquartile range (IQR)265.5

Descriptive statistics

Standard deviation895.11297
Coefficient of variation (CV)2.1858681
Kurtosis10.430222
Mean409.5
Median Absolute Deviation (MAD)47
Skewness3.113173
Sum15561
Variance801227.23
MonotonicityNot monotonic
2024-04-21T11:48:03.292573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 3
 
7.1%
5 2
 
4.8%
21 2
 
4.8%
3 2
 
4.8%
1 2
 
4.8%
37 2
 
4.8%
8 2
 
4.8%
98 1
 
2.4%
2685 1
 
2.4%
303 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
1 2
4.8%
3 2
4.8%
4 1
 
2.4%
5 2
4.8%
8 2
4.8%
9 1
 
2.4%
21 2
4.8%
37 2
4.8%
39 1
 
2.4%
ValueCountFrequency (%)
4339 1
2.4%
2685 1
2.4%
2058 1
2.4%
1694 1
2.4%
1274 1
2.4%
619 1
2.4%
540 1
2.4%
500 1
2.4%
327 1
2.4%
303 1
2.4%

경기 동두천
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)65.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean85.5
Minimum0
Maximum764
Zeros6
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:03.398754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q352.75
95-th percentile437.3
Maximum764
Range764
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation178.5633
Coefficient of variation (CV)2.0884596
Kurtosis7.3289518
Mean85.5
Median Absolute Deviation (MAD)10
Skewness2.7502284
Sum3249
Variance31884.851
MonotonicityNot monotonic
2024-04-21T11:48:03.502961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 6
 
14.3%
2 5
 
11.9%
1 3
 
7.1%
37 2
 
4.8%
7 2
 
4.8%
34 1
 
2.4%
18 1
 
2.4%
398 1
 
2.4%
58 1
 
2.4%
764 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 6
14.3%
1 3
7.1%
2 5
11.9%
6 1
 
2.4%
7 2
 
4.8%
8 1
 
2.4%
9 1
 
2.4%
11 1
 
2.4%
12 1
 
2.4%
16 1
 
2.4%
ValueCountFrequency (%)
764 1
2.4%
660 1
2.4%
398 1
2.4%
331 1
2.4%
329 1
2.4%
154 1
2.4%
104 1
2.4%
99 1
2.4%
90 1
2.4%
58 1
2.4%

경기 부천
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)84.2%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean769.47368
Minimum0
Maximum6974
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:03.613515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q110
median71
Q3395.25
95-th percentile4112.7
Maximum6974
Range6974
Interquartile range (IQR)385.25

Descriptive statistics

Standard deviation1629.24
Coefficient of variation (CV)2.1173434
Kurtosis6.5700289
Mean769.47368
Median Absolute Deviation (MAD)68
Skewness2.6354739
Sum29240
Variance2654423.1
MonotonicityNot monotonic
2024-04-21T11:48:03.731965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
5 2
 
4.8%
0 2
 
4.8%
8 2
 
4.8%
4 2
 
4.8%
2 2
 
4.8%
16 2
 
4.8%
3867 1
 
2.4%
291 1
 
2.4%
31 1
 
2.4%
6974 1
 
2.4%
Other values (22) 22
52.4%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
4.8%
2 2
4.8%
4 2
4.8%
5 2
4.8%
8 2
4.8%
16 2
4.8%
18 1
2.4%
20 1
2.4%
26 1
2.4%
31 1
2.4%
ValueCountFrequency (%)
6974 1
2.4%
5505 1
2.4%
3867 1
2.4%
3715 1
2.4%
2859 1
2.4%
1276 1
2.4%
1181 1
2.4%
1019 1
2.4%
470 1
2.4%
417 1
2.4%

경기 성남
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)86.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean712.86842
Minimum0
Maximum7592
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:03.857830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111.5
median68.5
Q3361
95-th percentile3354.1
Maximum7592
Range7592
Interquartile range (IQR)349.5

Descriptive statistics

Standard deviation1546.685
Coefficient of variation (CV)2.1696641
Kurtosis10.514718
Mean712.86842
Median Absolute Deviation (MAD)65.5
Skewness3.0760117
Sum27089
Variance2392234.5
MonotonicityNot monotonic
2024-04-21T11:48:03.971304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3 3
 
7.1%
7 3
 
7.1%
15 2
 
4.8%
99 1
 
2.4%
4114 1
 
2.4%
3220 1
 
2.4%
246 1
 
2.4%
25 1
 
2.4%
11 1
 
2.4%
7592 1
 
2.4%
Other values (23) 23
54.8%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
3 3
7.1%
4 1
 
2.4%
7 3
7.1%
10 1
 
2.4%
11 1
 
2.4%
13 1
 
2.4%
15 2
4.8%
16 1
 
2.4%
17 1
 
2.4%
ValueCountFrequency (%)
7592 1
2.4%
4114 1
2.4%
3220 1
2.4%
3126 1
2.4%
3007 1
2.4%
1069 1
2.4%
1021 1
2.4%
1002 1
2.4%
606 1
2.4%
375 1
2.4%

경기 수원
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)89.5%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean1108.5
Minimum1
Maximum11159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:04.087014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q120
median111.5
Q3535
95-th percentile5595.8
Maximum11159
Range11158
Interquartile range (IQR)515

Descriptive statistics

Standard deviation2394.1772
Coefficient of variation (CV)2.1598351
Kurtosis8.4484295
Mean1108.5
Median Absolute Deviation (MAD)105.5
Skewness2.8451534
Sum42123
Variance5732084.5
MonotonicityNot monotonic
2024-04-21T11:48:04.213153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20 2
 
4.8%
11 2
 
4.8%
35 2
 
4.8%
4 2
 
4.8%
355 1
 
2.4%
68 1
 
2.4%
487 1
 
2.4%
126 1
 
2.4%
1311 1
 
2.4%
98 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
1 1
2.4%
4 2
4.8%
5 1
2.4%
7 1
2.4%
9 1
2.4%
11 2
4.8%
13 1
2.4%
20 2
4.8%
24 1
2.4%
26 1
2.4%
ValueCountFrequency (%)
11159 1
2.4%
6813 1
2.4%
5381 1
2.4%
5322 1
2.4%
4658 1
2.4%
1754 1
2.4%
1570 1
2.4%
1311 1
2.4%
683 1
2.4%
551 1
2.4%

경기 시흥
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)84.2%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean454.42105
Minimum1
Maximum6327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:04.329360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17.25
median37
Q3197
95-th percentile1921.4
Maximum6327
Range6326
Interquartile range (IQR)189.75

Descriptive statistics

Standard deviation1147.6175
Coefficient of variation (CV)2.5254497
Kurtosis19.07431
Mean454.42105
Median Absolute Deviation (MAD)35
Skewness4.077981
Sum17268
Variance1317025.9
MonotonicityNot monotonic
2024-04-21T11:48:04.436704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3 3
 
7.1%
2 3
 
7.1%
14 2
 
4.8%
7 2
 
4.8%
48 1
 
2.4%
30 1
 
2.4%
1802 1
 
2.4%
185 1
 
2.4%
15 1
 
2.4%
1 1
 
2.4%
Other values (22) 22
52.4%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
1 1
 
2.4%
2 3
7.1%
3 3
7.1%
4 1
 
2.4%
7 2
4.8%
8 1
 
2.4%
10 1
 
2.4%
14 2
4.8%
15 1
 
2.4%
27 1
 
2.4%
ValueCountFrequency (%)
6327 1
2.4%
2598 1
2.4%
1802 1
2.4%
1714 1
2.4%
1551 1
2.4%
685 1
2.4%
508 1
2.4%
494 1
2.4%
286 1
2.4%
201 1
2.4%

경기 안산
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)89.5%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean671.63158
Minimum0
Maximum7238
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:04.545591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q19.25
median66
Q3375
95-th percentile3358.7
Maximum7238
Range7238
Interquartile range (IQR)365.75

Descriptive statistics

Standard deviation1477.0914
Coefficient of variation (CV)2.1992585
Kurtosis10.535319
Mean671.63158
Median Absolute Deviation (MAD)64
Skewness3.0898971
Sum25522
Variance2181799.1
MonotonicityNot monotonic
2024-04-21T11:48:04.664056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 2
 
4.8%
6 2
 
4.8%
2 2
 
4.8%
10 2
 
4.8%
16 1
 
2.4%
4 1
 
2.4%
3260 1
 
2.4%
241 1
 
2.4%
7 1
 
2.4%
7238 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
4.8%
2 2
4.8%
4 1
2.4%
6 2
4.8%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 2
4.8%
12 1
2.4%
15 1
2.4%
ValueCountFrequency (%)
7238 1
2.4%
3918 1
2.4%
3260 1
2.4%
3025 1
2.4%
2664 1
2.4%
1037 1
2.4%
955 1
2.4%
763 1
2.4%
424 1
2.4%
397 1
2.4%

경기 안성
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)76.3%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean171.23684
Minimum0
Maximum2160
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:04.799798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q388
95-th percentile918.45
Maximum2160
Range2160
Interquartile range (IQR)85

Descriptive statistics

Standard deviation413.14257
Coefficient of variation (CV)2.4126967
Kurtosis14.763988
Mean171.23684
Median Absolute Deviation (MAD)16
Skewness3.6054278
Sum6507
Variance170686.78
MonotonicityNot monotonic
2024-04-21T11:48:04.898410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 5
 
11.9%
3 3
 
7.1%
5 2
 
4.8%
6 2
 
4.8%
1 2
 
4.8%
22 1
 
2.4%
24 1
 
2.4%
1006 1
 
2.4%
100 1
 
2.4%
12 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 5
11.9%
1 2
 
4.8%
2 1
 
2.4%
3 3
7.1%
5 2
 
4.8%
6 2
 
4.8%
7 1
 
2.4%
11 1
 
2.4%
12 1
 
2.4%
15 1
 
2.4%
ValueCountFrequency (%)
2160 1
2.4%
1006 1
2.4%
903 1
2.4%
628 1
2.4%
620 1
2.4%
253 1
2.4%
171 1
2.4%
160 1
2.4%
131 1
2.4%
100 1
2.4%

경기 안양
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)76.3%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean403.92105
Minimum1
Maximum3348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:04.995049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q13.25
median41.5
Q3220.75
95-th percentile2054.6
Maximum3348
Range3347
Interquartile range (IQR)217.5

Descriptive statistics

Standard deviation801.30729
Coefficient of variation (CV)1.9838216
Kurtosis5.4356872
Mean403.92105
Median Absolute Deviation (MAD)40
Skewness2.4405033
Sum15349
Variance642093.37
MonotonicityNot monotonic
2024-04-21T11:48:05.098575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 5
 
11.9%
3 3
 
7.1%
90 2
 
4.8%
1 2
 
4.8%
39 2
 
4.8%
2619 1
 
2.4%
1955 1
 
2.4%
139 1
 
2.4%
23 1
 
2.4%
3348 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
1 2
 
4.8%
2 5
11.9%
3 3
7.1%
4 1
 
2.4%
5 1
 
2.4%
12 1
 
2.4%
15 1
 
2.4%
23 1
 
2.4%
28 1
 
2.4%
37 1
 
2.4%
ValueCountFrequency (%)
3348 1
2.4%
2619 1
2.4%
1955 1
2.4%
1877 1
2.4%
1662 1
2.4%
838 1
2.4%
652 1
2.4%
585 1
2.4%
345 1
2.4%
226 1
2.4%

경기 양주
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)71.1%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean177
Minimum0
Maximum2161
Zeros6
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:05.214144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median16.5
Q3107
95-th percentile922.05
Maximum2161
Range2161
Interquartile range (IQR)104.75

Descriptive statistics

Standard deviation416.0269
Coefficient of variation (CV)2.3504344
Kurtosis14.225833
Mean177
Median Absolute Deviation (MAD)16.5
Skewness3.5489279
Sum6726
Variance173078.38
MonotonicityNot monotonic
2024-04-21T11:48:05.314221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 6
 
14.3%
3 4
 
9.5%
50 2
 
4.8%
1 2
 
4.8%
2 2
 
4.8%
164 1
 
2.4%
903 1
 
2.4%
115 1
 
2.4%
2161 1
 
2.4%
71 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 6
14.3%
1 2
 
4.8%
2 2
 
4.8%
3 4
9.5%
4 1
 
2.4%
10 1
 
2.4%
13 1
 
2.4%
14 1
 
2.4%
16 1
 
2.4%
17 1
 
2.4%
ValueCountFrequency (%)
2161 1
2.4%
1030 1
2.4%
903 1
2.4%
797 1
2.4%
475 1
2.4%
259 1
2.4%
187 1
2.4%
164 1
2.4%
146 1
2.4%
115 1
2.4%

경기 여주
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean92.210526
Minimum0
Maximum1061
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:05.421817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median9.5
Q353
95-th percentile468.9
Maximum1061
Range1061
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation210.33437
Coefficient of variation (CV)2.2810235
Kurtosis12.253134
Mean92.210526
Median Absolute Deviation (MAD)9
Skewness3.3094315
Sum3504
Variance44240.549
MonotonicityNot monotonic
2024-04-21T11:48:05.531122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4
 
9.5%
1 3
 
7.1%
6 3
 
7.1%
2 3
 
7.1%
3 2
 
4.8%
11 2
 
4.8%
5 2
 
4.8%
44 1
 
2.4%
30 1
 
2.4%
456 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 4
9.5%
1 3
7.1%
2 3
7.1%
3 2
4.8%
5 2
4.8%
6 3
7.1%
7 1
 
2.4%
8 1
 
2.4%
11 2
4.8%
13 1
 
2.4%
ValueCountFrequency (%)
1061 1
2.4%
542 1
2.4%
456 1
2.4%
414 1
2.4%
337 1
2.4%
127 1
2.4%
90 1
2.4%
89 1
2.4%
84 1
2.4%
56 1
2.4%

경기 오산
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)73.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean194.78947
Minimum0
Maximum2213
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:05.642677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q12.25
median16.5
Q3102.25
95-th percentile925.1
Maximum2213
Range2213
Interquartile range (IQR)100

Descriptive statistics

Standard deviation436.45588
Coefficient of variation (CV)2.2406544
Kurtosis12.228408
Mean194.78947
Median Absolute Deviation (MAD)15.5
Skewness3.269259
Sum7402
Variance190493.74
MonotonicityNot monotonic
2024-04-21T11:48:05.763119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 6
 
14.3%
9 2
 
4.8%
5 2
 
4.8%
22 2
 
4.8%
2 2
 
4.8%
0 2
 
4.8%
870 1
 
2.4%
174 1
 
2.4%
954 1
 
2.4%
85 1
 
2.4%
Other values (18) 18
42.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
 
4.8%
1 6
14.3%
2 2
 
4.8%
3 1
 
2.4%
4 1
 
2.4%
5 2
 
4.8%
6 1
 
2.4%
7 1
 
2.4%
9 2
 
4.8%
12 1
 
2.4%
ValueCountFrequency (%)
2213 1
2.4%
954 1
2.4%
920 1
2.4%
896 1
2.4%
870 1
2.4%
291 1
2.4%
256 1
2.4%
249 1
2.4%
174 1
2.4%
108 1
2.4%

경기 용인
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)89.5%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean538.76316
Minimum0
Maximum6283
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:05.871613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.85
Q18
median69
Q3233
95-th percentile2728.45
Maximum6283
Range6283
Interquartile range (IQR)225

Descriptive statistics

Standard deviation1234.0974
Coefficient of variation (CV)2.2906121
Kurtosis12.820252
Mean538.76316
Median Absolute Deviation (MAD)66
Skewness3.3701114
Sum20473
Variance1522996.3
MonotonicityNot monotonic
2024-04-21T11:48:06.196977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 3
 
7.1%
77 2
 
4.8%
5 2
 
4.8%
14 1
 
2.4%
3224 1
 
2.4%
2641 1
 
2.4%
194 1
 
2.4%
11 1
 
2.4%
0 1
 
2.4%
13 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 1
 
2.4%
2 1
 
2.4%
3 3
7.1%
4 1
 
2.4%
5 2
4.8%
7 1
 
2.4%
11 1
 
2.4%
13 1
 
2.4%
14 1
 
2.4%
ValueCountFrequency (%)
6283 1
2.4%
3224 1
2.4%
2641 1
2.4%
2201 1
2.4%
1919 1
2.4%
877 1
2.4%
725 1
2.4%
618 1
2.4%
313 1
2.4%
245 1
2.4%

경기 의왕
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)65.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean84.763158
Minimum0
Maximum1185
Zeros6
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:06.319128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10.5
Q346.5
95-th percentile374.95
Maximum1185
Range1185
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation216.0531
Coefficient of variation (CV)2.5489034
Kurtosis18.944518
Mean84.763158
Median Absolute Deviation (MAD)10.5
Skewness4.1018474
Sum3221
Variance46678.942
MonotonicityNot monotonic
2024-04-21T11:48:06.424662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 6
 
14.3%
1 5
 
11.9%
2 4
 
9.5%
23 2
 
4.8%
216 1
 
2.4%
343 1
 
2.4%
52 1
 
2.4%
19 1
 
2.4%
1185 1
 
2.4%
7 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 6
14.3%
1 5
11.9%
2 4
9.5%
3 1
 
2.4%
5 1
 
2.4%
7 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
12 1
 
2.4%
13 1
 
2.4%
ValueCountFrequency (%)
1185 1
2.4%
556 1
2.4%
343 1
2.4%
280 1
2.4%
216 1
2.4%
113 1
2.4%
112 1
2.4%
96 1
2.4%
52 1
2.4%
49 1
2.4%

경기 의정부
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean377.55263
Minimum0
Maximum3052
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:06.524399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16.5
median32
Q3229
95-th percentile2157.4
Maximum3052
Range3052
Interquartile range (IQR)222.5

Descriptive statistics

Standard deviation756.76376
Coefficient of variation (CV)2.0043928
Kurtosis4.6714174
Mean377.55263
Median Absolute Deviation (MAD)31
Skewness2.3512312
Sum14347
Variance572691.39
MonotonicityNot monotonic
2024-04-21T11:48:06.622556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 4
 
9.5%
10 2
 
4.8%
23 2
 
4.8%
80 2
 
4.8%
8 2
 
4.8%
6 2
 
4.8%
19 1
 
2.4%
1723 1
 
2.4%
1798 1
 
2.4%
241 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 4
9.5%
2 1
 
2.4%
4 1
 
2.4%
5 1
 
2.4%
6 2
4.8%
8 2
4.8%
10 2
4.8%
11 1
 
2.4%
19 1
 
2.4%
ValueCountFrequency (%)
3052 1
2.4%
2290 1
2.4%
2134 1
2.4%
1798 1
2.4%
1723 1
2.4%
663 1
2.4%
596 1
2.4%
510 1
2.4%
241 1
2.4%
238 1
2.4%

경기 이천
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean205.39474
Minimum0
Maximum2307
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:06.736500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median23
Q3185.25
95-th percentile936.65
Maximum2307
Range2307
Interquartile range (IQR)182.75

Descriptive statistics

Standard deviation443.98628
Coefficient of variation (CV)2.1616244
Kurtosis13.497134
Mean205.39474
Median Absolute Deviation (MAD)23
Skewness3.4019353
Sum7805
Variance197123.81
MonotonicityNot monotonic
2024-04-21T11:48:06.846993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 5
 
11.9%
1 4
 
9.5%
23 2
 
4.8%
73 1
 
2.4%
214 1
 
2.4%
932 1
 
2.4%
90 1
 
2.4%
21 1
 
2.4%
16 1
 
2.4%
2307 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 5
11.9%
1 4
9.5%
2 1
 
2.4%
4 1
 
2.4%
6 1
 
2.4%
8 1
 
2.4%
9 1
 
2.4%
15 1
 
2.4%
16 1
 
2.4%
21 1
 
2.4%
ValueCountFrequency (%)
2307 1
2.4%
963 1
2.4%
932 1
2.4%
892 1
2.4%
781 1
2.4%
318 1
2.4%
290 1
2.4%
241 1
2.4%
214 1
2.4%
212 1
2.4%

경기 파주
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)81.6%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean326.23684
Minimum1
Maximum3641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:06.958916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15.25
median41.5
Q3171.75
95-th percentile1663.6
Maximum3641
Range3640
Interquartile range (IQR)166.5

Descriptive statistics

Standard deviation735.72734
Coefficient of variation (CV)2.2551939
Kurtosis11.809413
Mean326.23684
Median Absolute Deviation (MAD)39.5
Skewness3.2946357
Sum12397
Variance541294.73
MonotonicityNot monotonic
2024-04-21T11:48:07.064952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 4
 
9.5%
2 3
 
7.1%
3 2
 
4.8%
43 2
 
4.8%
31 1
 
2.4%
2296 1
 
2.4%
1552 1
 
2.4%
181 1
 
2.4%
12 1
 
2.4%
6 1
 
2.4%
Other values (21) 21
50.0%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
1 4
9.5%
2 3
7.1%
3 2
4.8%
5 1
 
2.4%
6 1
 
2.4%
7 1
 
2.4%
9 1
 
2.4%
11 1
 
2.4%
12 1
 
2.4%
15 1
 
2.4%
ValueCountFrequency (%)
3641 1
2.4%
2296 1
2.4%
1552 1
2.4%
1112 1
2.4%
1025 1
2.4%
503 1
2.4%
495 1
2.4%
384 1
2.4%
320 1
2.4%
181 1
2.4%

경기 평택
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)86.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean595.5
Minimum0
Maximum5936
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:07.185564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q18
median66.5
Q3282
95-th percentile3355.35
Maximum5936
Range5936
Interquartile range (IQR)274

Descriptive statistics

Standard deviation1269.061
Coefficient of variation (CV)2.1310847
Kurtosis8.6596742
Mean595.5
Median Absolute Deviation (MAD)63
Skewness2.8621457
Sum22629
Variance1610515.7
MonotonicityNot monotonic
2024-04-21T11:48:07.315899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 2
 
4.8%
0 2
 
4.8%
2 2
 
4.8%
4 2
 
4.8%
14 2
 
4.8%
157 1
 
2.4%
594 1
 
2.4%
3297 1
 
2.4%
135 1
 
2.4%
11 1
 
2.4%
Other values (23) 23
54.8%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
4.8%
2 2
4.8%
3 1
2.4%
4 2
4.8%
5 1
2.4%
7 2
4.8%
11 1
2.4%
12 1
2.4%
14 2
4.8%
16 1
2.4%
ValueCountFrequency (%)
5936 1
2.4%
3686 1
2.4%
3297 1
2.4%
2182 1
2.4%
2060 1
2.4%
1602 1
2.4%
901 1
2.4%
594 1
2.4%
591 1
2.4%
285 1
2.4%

경기 포천
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean166.92105
Minimum0
Maximum2250
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:07.450090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median16.5
Q3106.75
95-th percentile795.9
Maximum2250
Range2250
Interquartile range (IQR)103.5

Descriptive statistics

Standard deviation411.80843
Coefficient of variation (CV)2.467085
Kurtosis18.217381
Mean166.92105
Median Absolute Deviation (MAD)16
Skewness3.9945233
Sum6343
Variance169586.18
MonotonicityNot monotonic
2024-04-21T11:48:07.567461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2 5
 
11.9%
0 3
 
7.1%
16 2
 
4.8%
42 2
 
4.8%
22 1
 
2.4%
971 1
 
2.4%
765 1
 
2.4%
85 1
 
2.4%
8 1
 
2.4%
10 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
1 1
 
2.4%
2 5
11.9%
3 1
 
2.4%
4 1
 
2.4%
5 1
 
2.4%
6 1
 
2.4%
8 1
 
2.4%
10 1
 
2.4%
12 1
 
2.4%
ValueCountFrequency (%)
2250 1
2.4%
971 1
2.4%
765 1
2.4%
563 1
2.4%
518 1
2.4%
214 1
2.4%
202 1
2.4%
145 1
2.4%
135 1
2.4%
114 1
2.4%

경기 하남
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)71.1%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean141.63158
Minimum0
Maximum1934
Zeros8
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:07.672346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q361.75
95-th percentile644.95
Maximum1934
Range1934
Interquartile range (IQR)60.75

Descriptive statistics

Standard deviation351.40209
Coefficient of variation (CV)2.4810998
Kurtosis18.700893
Mean141.63158
Median Absolute Deviation (MAD)9
Skewness4.0142593
Sum5382
Variance123483.43
MonotonicityNot monotonic
2024-04-21T11:48:07.788564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 8
19.0%
1 3
 
7.1%
8 2
 
4.8%
9 2
 
4.8%
634 1
 
2.4%
707 1
 
2.4%
64 1
 
2.4%
1934 1
 
2.4%
20 1
 
2.4%
34 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 8
19.0%
1 3
 
7.1%
2 1
 
2.4%
3 1
 
2.4%
4 1
 
2.4%
6 1
 
2.4%
7 1
 
2.4%
8 2
 
4.8%
9 2
 
4.8%
12 1
 
2.4%
ValueCountFrequency (%)
1934 1
2.4%
707 1
2.4%
634 1
2.4%
546 1
2.4%
500 1
2.4%
229 1
2.4%
192 1
2.4%
156 1
2.4%
118 1
2.4%
64 1
2.4%

경기 화성
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)86.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean503.39474
Minimum0
Maximum5762
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:07.934288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.25
median52
Q3258.5
95-th percentile2661.75
Maximum5762
Range5762
Interquartile range (IQR)251.25

Descriptive statistics

Standard deviation1137.5879
Coefficient of variation (CV)2.2598327
Kurtosis12.442264
Mean503.39474
Median Absolute Deviation (MAD)51
Skewness3.325286
Sum19129
Variance1294106.2
MonotonicityNot monotonic
2024-04-21T11:48:08.046596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 3
 
7.1%
7 2
 
4.8%
11 2
 
4.8%
6 2
 
4.8%
143 1
 
2.4%
2904 1
 
2.4%
2619 1
 
2.4%
166 1
 
2.4%
19 1
 
2.4%
5762 1
 
2.4%
Other values (23) 23
54.8%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
2 1
 
2.4%
3 1
 
2.4%
5 1
 
2.4%
6 2
4.8%
7 2
4.8%
8 1
 
2.4%
10 1
 
2.4%
11 2
4.8%
14 1
 
2.4%
ValueCountFrequency (%)
5762 1
2.4%
2904 1
2.4%
2619 1
2.4%
1935 1
2.4%
1896 1
2.4%
720 1
2.4%
603 1
2.4%
600 1
2.4%
427 1
2.4%
272 1
2.4%

강원 강릉
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean164.47368
Minimum0
Maximum1733
Zeros7
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:08.151908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q386.5
95-th percentile844.5
Maximum1733
Range1733
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation359.97566
Coefficient of variation (CV)2.188652
Kurtosis9.6007962
Mean164.47368
Median Absolute Deviation (MAD)11
Skewness2.9636124
Sum6250
Variance129582.47
MonotonicityNot monotonic
2024-04-21T11:48:08.259647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 7
16.7%
1 2
 
4.8%
40 2
 
4.8%
7 2
 
4.8%
2 2
 
4.8%
3 2
 
4.8%
4 2
 
4.8%
94 1
 
2.4%
8 1
 
2.4%
801 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 7
16.7%
1 2
 
4.8%
2 2
 
4.8%
3 2
 
4.8%
4 2
 
4.8%
7 2
 
4.8%
8 1
 
2.4%
10 1
 
2.4%
12 1
 
2.4%
16 1
 
2.4%
ValueCountFrequency (%)
1733 1
2.4%
904 1
2.4%
834 1
2.4%
801 1
2.4%
658 1
2.4%
333 1
2.4%
241 1
2.4%
152 1
2.4%
132 1
2.4%
94 1
2.4%

강원 동해
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)65.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean101.73684
Minimum0
Maximum1281
Zeros8
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:08.376801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q335.5
95-th percentile621.5
Maximum1281
Range1281
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation248.10554
Coefficient of variation (CV)2.4386991
Kurtosis14.334384
Mean101.73684
Median Absolute Deviation (MAD)10
Skewness3.5984076
Sum3866
Variance61556.361
MonotonicityNot monotonic
2024-04-21T11:48:08.487725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 8
19.0%
1 5
 
11.9%
3 2
 
4.8%
2 2
 
4.8%
32 1
 
2.4%
8 1
 
2.4%
1281 1
 
2.4%
34 1
 
2.4%
647 1
 
2.4%
617 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 8
19.0%
1 5
11.9%
2 2
 
4.8%
3 2
 
4.8%
8 1
 
2.4%
9 1
 
2.4%
11 1
 
2.4%
13 1
 
2.4%
15 1
 
2.4%
16 1
 
2.4%
ValueCountFrequency (%)
1281 1
2.4%
647 1
2.4%
617 1
2.4%
287 1
2.4%
271 1
2.4%
168 1
2.4%
150 1
2.4%
119 1
2.4%
59 1
2.4%
36 1
2.4%

강원 삼척
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)57.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean57.789474
Minimum0
Maximum533
Zeros6
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:08.601767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q326
95-th percentile308.7
Maximum533
Range533
Interquartile range (IQR)25

Descriptive statistics

Standard deviation123.91675
Coefficient of variation (CV)2.1442788
Kurtosis6.5736777
Mean57.789474
Median Absolute Deviation (MAD)5
Skewness2.6351262
Sum2196
Variance15355.36
MonotonicityNot monotonic
2024-04-21T11:48:08.709095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 6
14.3%
1 5
11.9%
2 3
 
7.1%
4 3
 
7.1%
17 2
 
4.8%
9 2
 
4.8%
5 2
 
4.8%
11 1
 
2.4%
39 1
 
2.4%
409 1
 
2.4%
Other values (12) 12
28.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 6
14.3%
1 5
11.9%
2 3
7.1%
3 1
 
2.4%
4 3
7.1%
5 2
 
4.8%
7 1
 
2.4%
9 2
 
4.8%
10 1
 
2.4%
11 1
 
2.4%
ValueCountFrequency (%)
533 1
2.4%
409 1
2.4%
291 1
2.4%
287 1
2.4%
224 1
2.4%
106 1
2.4%
91 1
2.4%
57 1
2.4%
39 1
2.4%
29 1
2.4%

강원 속초
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)60.5%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean83.421053
Minimum0
Maximum878
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:08.821556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8.5
Q335.5
95-th percentile447.25
Maximum878
Range878
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation182.91685
Coefficient of variation (CV)2.1926941
Kurtosis9.7398599
Mean83.421053
Median Absolute Deviation (MAD)7.5
Skewness3.0088469
Sum3170
Variance33458.575
MonotonicityNot monotonic
2024-04-21T11:48:08.931235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 6
14.3%
0 5
 
11.9%
2 3
 
7.1%
8 2
 
4.8%
6 2
 
4.8%
14 2
 
4.8%
9 2
 
4.8%
4 1
 
2.4%
63 1
 
2.4%
494 1
 
2.4%
Other values (13) 13
31.0%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 5
11.9%
1 6
14.3%
2 3
7.1%
4 1
 
2.4%
6 2
 
4.8%
8 2
 
4.8%
9 2
 
4.8%
13 1
 
2.4%
14 2
 
4.8%
15 1
 
2.4%
ValueCountFrequency (%)
878 1
2.4%
494 1
2.4%
439 1
2.4%
423 1
2.4%
228 1
2.4%
137 1
2.4%
136 1
2.4%
133 1
2.4%
63 1
2.4%
36 1
2.4%

강원 원주
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean292.28947
Minimum0
Maximum3506
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:09.030375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.25
median30
Q3119.5
95-th percentile1429.6
Maximum3506
Range3506
Interquartile range (IQR)116.25

Descriptive statistics

Standard deviation682.87817
Coefficient of variation (CV)2.3363078
Kurtosis13.513438
Mean292.28947
Median Absolute Deviation (MAD)29
Skewness3.4619975
Sum11107
Variance466322.59
MonotonicityNot monotonic
2024-04-21T11:48:09.139225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 5
 
11.9%
10 2
 
4.8%
3 2
 
4.8%
7 2
 
4.8%
2 2
 
4.8%
242 1
 
2.4%
1357 1
 
2.4%
105 1
 
2.4%
4 1
 
2.4%
3506 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 5
11.9%
2 2
 
4.8%
3 2
 
4.8%
4 1
 
2.4%
6 1
 
2.4%
7 2
 
4.8%
10 2
 
4.8%
12 1
 
2.4%
19 1
 
2.4%
ValueCountFrequency (%)
3506 1
2.4%
1841 1
2.4%
1357 1
2.4%
1143 1
2.4%
1065 1
2.4%
482 1
2.4%
324 1
2.4%
270 1
2.4%
242 1
2.4%
124 1
2.4%

강원 춘천
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)76.3%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean210.68421
Minimum0
Maximum2594
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:09.255115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.5
median17
Q383.25
95-th percentile1048.75
Maximum2594
Range2594
Interquartile range (IQR)79.75

Descriptive statistics

Standard deviation495.05812
Coefficient of variation (CV)2.3497638
Kurtosis14.711202
Mean210.68421
Median Absolute Deviation (MAD)16
Skewness3.5811938
Sum8006
Variance245082.55
MonotonicityNot monotonic
2024-04-21T11:48:09.366959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 4
 
9.5%
2 3
 
7.1%
7 3
 
7.1%
3 2
 
4.8%
6 2
 
4.8%
203 1
 
2.4%
1021 1
 
2.4%
44 1
 
2.4%
14 1
 
2.4%
2594 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 4
9.5%
2 3
7.1%
3 2
4.8%
5 1
 
2.4%
6 2
4.8%
7 3
7.1%
14 1
 
2.4%
15 1
 
2.4%
16 1
 
2.4%
ValueCountFrequency (%)
2594 1
2.4%
1206 1
2.4%
1021 1
2.4%
878 1
2.4%
653 1
2.4%
331 1
2.4%
288 1
2.4%
267 1
2.4%
203 1
2.4%
87 1
2.4%

강원 태백
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)47.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean28.684211
Minimum0
Maximum353
Zeros9
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:09.490093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.5
Q311
95-th percentile126.75
Maximum353
Range353
Interquartile range (IQR)10

Descriptive statistics

Standard deviation66.549354
Coefficient of variation (CV)2.3200692
Kurtosis15.461478
Mean28.684211
Median Absolute Deviation (MAD)2.5
Skewness3.6471225
Sum1090
Variance4428.8165
MonotonicityNot monotonic
2024-04-21T11:48:09.590186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 9
21.4%
1 6
14.3%
2 4
9.5%
5 4
9.5%
11 2
 
4.8%
77 1
 
2.4%
68 1
 
2.4%
120 1
 
2.4%
6 1
 
2.4%
113 1
 
2.4%
Other values (8) 8
19.0%
(Missing) 4
9.5%
ValueCountFrequency (%)
0 9
21.4%
1 6
14.3%
2 4
9.5%
3 1
 
2.4%
5 4
9.5%
6 1
 
2.4%
7 1
 
2.4%
8 1
 
2.4%
11 2
 
4.8%
22 1
 
2.4%
ValueCountFrequency (%)
353 1
2.4%
165 1
2.4%
120 1
2.4%
113 1
2.4%
77 1
2.4%
68 1
2.4%
59 1
2.4%
33 1
2.4%
22 1
2.4%
11 2
4.8%

충북 제천
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean95.973684
Minimum0
Maximum1338
Zeros6
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:09.691360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11.5
Q342.25
95-th percentile462.65
Maximum1338
Range1338
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation245.21469
Coefficient of variation (CV)2.55502
Kurtosis18.429837
Mean95.973684
Median Absolute Deviation (MAD)10.5
Skewness4.0363355
Sum3647
Variance60130.243
MonotonicityNot monotonic
2024-04-21T11:48:09.802551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 6
 
14.3%
2 3
 
7.1%
12 2
 
4.8%
19 2
 
4.8%
1 2
 
4.8%
4 2
 
4.8%
14 2
 
4.8%
308 1
 
2.4%
11 1
 
2.4%
437 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 6
14.3%
1 2
 
4.8%
2 3
7.1%
4 2
 
4.8%
5 1
 
2.4%
6 1
 
2.4%
7 1
 
2.4%
9 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
ValueCountFrequency (%)
1338 1
2.4%
608 1
2.4%
437 1
2.4%
308 1
2.4%
281 1
2.4%
143 1
2.4%
112 1
2.4%
76 1
2.4%
75 1
2.4%
45 1
2.4%

충북 청주
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)86.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean711.76316
Minimum0
Maximum8605
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:09.915457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.85
Q18.75
median68
Q3296.75
95-th percentile3475.35
Maximum8605
Range8605
Interquartile range (IQR)288

Descriptive statistics

Standard deviation1674.1707
Coefficient of variation (CV)2.3521457
Kurtosis13.5055
Mean711.76316
Median Absolute Deviation (MAD)64
Skewness3.4514324
Sum27047
Variance2802847.4
MonotonicityNot monotonic
2024-04-21T11:48:10.040871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 3
 
7.1%
13 2
 
4.8%
4 2
 
4.8%
3 2
 
4.8%
15 1
 
2.4%
65 1
 
2.4%
163 1
 
2.4%
75 1
 
2.4%
703 1
 
2.4%
118 1
 
2.4%
Other values (23) 23
54.8%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
2 1
 
2.4%
3 2
4.8%
4 2
4.8%
7 3
7.1%
8 1
 
2.4%
11 1
 
2.4%
12 1
 
2.4%
13 2
4.8%
15 1
 
2.4%
ValueCountFrequency (%)
8605 1
2.4%
4282 1
2.4%
3333 1
2.4%
3141 1
2.4%
2548 1
2.4%
1149 1
2.4%
703 1
2.4%
697 1
2.4%
692 1
2.4%
309 1
2.4%

충북 충주
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)65.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean163.42105
Minimum0
Maximum2146
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:10.143166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12.25
median18
Q360.5
95-th percentile794.2
Maximum2146
Range2146
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation399.91976
Coefficient of variation (CV)2.4471741
Kurtosis16.688018
Mean163.42105
Median Absolute Deviation (MAD)16.5
Skewness3.8174606
Sum6210
Variance159935.82
MonotonicityNot monotonic
2024-04-21T11:48:10.480731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 5
 
11.9%
2 4
 
9.5%
30 3
 
7.1%
3 3
 
7.1%
19 2
 
4.8%
18 2
 
4.8%
937 1
 
2.4%
711 1
 
2.4%
53 1
 
2.4%
10 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 5
11.9%
2 4
9.5%
3 3
7.1%
4 1
 
2.4%
6 1
 
2.4%
9 1
 
2.4%
10 1
 
2.4%
12 1
 
2.4%
18 2
 
4.8%
ValueCountFrequency (%)
2146 1
2.4%
937 1
2.4%
769 1
2.4%
711 1
2.4%
408 1
2.4%
248 1
2.4%
236 1
2.4%
186 1
2.4%
137 1
2.4%
63 1
2.4%

충남 계룡
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)42.1%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean13.736842
Minimum0
Maximum122
Zeros16
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:10.579315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q35.75
95-th percentile83.75
Maximum122
Range122
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation29.356784
Coefficient of variation (CV)2.1370839
Kurtosis6.6562556
Mean13.736842
Median Absolute Deviation (MAD)1.5
Skewness2.6802677
Sum522
Variance861.82077
MonotonicityNot monotonic
2024-04-21T11:48:10.678123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 16
38.1%
4 3
 
7.1%
3 3
 
7.1%
1 3
 
7.1%
5 2
 
4.8%
60 1
 
2.4%
18 1
 
2.4%
36 1
 
2.4%
6 1
 
2.4%
2 1
 
2.4%
Other values (6) 6
 
14.3%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 16
38.1%
1 3
 
7.1%
2 1
 
2.4%
3 3
 
7.1%
4 3
 
7.1%
5 2
 
4.8%
6 1
 
2.4%
10 1
 
2.4%
18 1
 
2.4%
19 1
 
2.4%
ValueCountFrequency (%)
122 1
2.4%
105 1
2.4%
80 1
2.4%
60 1
2.4%
36 1
2.4%
30 1
2.4%
19 1
2.4%
18 1
2.4%
10 1
2.4%
6 1
2.4%

충남 공주
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)71.1%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean84.394737
Minimum0
Maximum1079
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:10.796662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median12
Q350.75
95-th percentile417.7
Maximum1079
Range1079
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation201.38098
Coefficient of variation (CV)2.3861794
Kurtosis16.436308
Mean84.394737
Median Absolute Deviation (MAD)11
Skewness3.7948395
Sum3207
Variance40554.299
MonotonicityNot monotonic
2024-04-21T11:48:10.924858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 5
 
11.9%
0 4
 
9.5%
4 2
 
4.8%
6 2
 
4.8%
17 2
 
4.8%
12 2
 
4.8%
96 1
 
2.4%
409 1
 
2.4%
21 1
 
2.4%
13 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 4
9.5%
1 5
11.9%
2 1
 
2.4%
3 1
 
2.4%
4 2
 
4.8%
5 1
 
2.4%
6 2
 
4.8%
7 1
 
2.4%
9 1
 
2.4%
12 2
 
4.8%
ValueCountFrequency (%)
1079 1
2.4%
467 1
2.4%
409 1
2.4%
371 1
2.4%
190 1
2.4%
136 1
2.4%
96 1
2.4%
92 1
2.4%
60 1
2.4%
54 1
2.4%

충남 논산
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)65.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean91.605263
Minimum0
Maximum935
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:11.026010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median9.5
Q337.75
95-th percentile492.7
Maximum935
Range935
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation205.14972
Coefficient of variation (CV)2.2394971
Kurtosis8.6040897
Mean91.605263
Median Absolute Deviation (MAD)8.5
Skewness2.9290008
Sum3481
Variance42086.408
MonotonicityNot monotonic
2024-04-21T11:48:11.127524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 5
 
11.9%
4 4
 
9.5%
0 3
 
7.1%
2 2
 
4.8%
10 2
 
4.8%
6 2
 
4.8%
14 2
 
4.8%
71 1
 
2.4%
443 1
 
2.4%
37 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
1 5
11.9%
2 2
 
4.8%
3 1
 
2.4%
4 4
9.5%
6 2
 
4.8%
8 1
 
2.4%
9 1
 
2.4%
10 2
 
4.8%
14 2
 
4.8%
ValueCountFrequency (%)
935 1
2.4%
678 1
2.4%
460 1
2.4%
443 1
2.4%
295 1
2.4%
121 1
2.4%
112 1
2.4%
96 1
2.4%
71 1
2.4%
38 1
2.4%

충남 당진
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)71.1%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean134.92105
Minimum0
Maximum1767
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:11.229373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q342.25
95-th percentile712.95
Maximum1767
Range1767
Interquartile range (IQR)40.25

Descriptive statistics

Standard deviation336.71685
Coefficient of variation (CV)2.4956583
Kurtosis15.373572
Mean134.92105
Median Absolute Deviation (MAD)11
Skewness3.7044433
Sum5127
Variance113378.24
MonotonicityNot monotonic
2024-04-21T11:48:11.331714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 5
 
11.9%
1 4
 
9.5%
2 2
 
4.8%
8 2
 
4.8%
4 2
 
4.8%
6 2
 
4.8%
108 1
 
2.4%
684 1
 
2.4%
26 1
 
2.4%
1767 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 5
11.9%
1 4
9.5%
2 2
 
4.8%
3 1
 
2.4%
4 2
 
4.8%
6 2
 
4.8%
8 2
 
4.8%
10 1
 
2.4%
12 1
 
2.4%
13 1
 
2.4%
ValueCountFrequency (%)
1767 1
2.4%
877 1
2.4%
684 1
2.4%
573 1
2.4%
330 1
2.4%
191 1
2.4%
147 1
2.4%
108 1
2.4%
103 1
2.4%
43 1
2.4%

충남 보령
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean91.578947
Minimum0
Maximum930
Zeros6
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:11.444271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median14.5
Q352
95-th percentile591.15
Maximum930
Range930
Interquartile range (IQR)51

Descriptive statistics

Standard deviation200.14787
Coefficient of variation (CV)2.1855227
Kurtosis9.2275214
Mean91.578947
Median Absolute Deviation (MAD)13.5
Skewness3.0148669
Sum3480
Variance40059.169
MonotonicityNot monotonic
2024-04-21T11:48:11.556303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 6
 
14.3%
0 6
 
14.3%
52 2
 
4.8%
278 2
 
4.8%
588 1
 
2.4%
27 1
 
2.4%
4 1
 
2.4%
3 1
 
2.4%
930 1
 
2.4%
101 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 6
14.3%
1 6
14.3%
2 1
 
2.4%
3 1
 
2.4%
4 1
 
2.4%
5 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
14 1
 
2.4%
15 1
 
2.4%
ValueCountFrequency (%)
930 1
2.4%
609 1
2.4%
588 1
2.4%
278 2
4.8%
155 1
2.4%
105 1
2.4%
101 1
2.4%
97 1
2.4%
52 2
4.8%
31 1
2.4%

충남 서산
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean135.5
Minimum0
Maximum1408
Zeros8
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:11.657486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median14.5
Q355.75
95-th percentile740.7
Maximum1408
Range1408
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation297.36762
Coefficient of variation (CV)2.194595
Kurtosis9.170119
Mean135.5
Median Absolute Deviation (MAD)14.5
Skewness2.9342309
Sum5149
Variance88427.5
MonotonicityNot monotonic
2024-04-21T11:48:11.759161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 8
19.0%
1 3
 
7.1%
6 2
 
4.8%
15 2
 
4.8%
14 2
 
4.8%
40 1
 
2.4%
841 1
 
2.4%
723 1
 
2.4%
33 1
 
2.4%
1408 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 8
19.0%
1 3
 
7.1%
2 1
 
2.4%
4 1
 
2.4%
5 1
 
2.4%
6 2
 
4.8%
11 1
 
2.4%
14 2
 
4.8%
15 2
 
4.8%
18 1
 
2.4%
ValueCountFrequency (%)
1408 1
2.4%
841 1
2.4%
723 1
2.4%
595 1
2.4%
494 1
2.4%
263 1
2.4%
232 1
2.4%
119 1
2.4%
99 1
2.4%
61 1
2.4%

충남 아산
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean235.5
Minimum0
Maximum2272
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:11.868081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median29
Q3119.5
95-th percentile1209.3
Maximum2272
Range2272
Interquartile range (IQR)116.25

Descriptive statistics

Standard deviation499.30193
Coefficient of variation (CV)2.1201781
Kurtosis7.6000542
Mean235.5
Median Absolute Deviation (MAD)27
Skewness2.7394025
Sum8949
Variance249302.42
MonotonicityNot monotonic
2024-04-21T11:48:11.979489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 4
 
9.5%
3 3
 
7.1%
7 2
 
4.8%
2 2
 
4.8%
5 2
 
4.8%
97 1
 
2.4%
265 1
 
2.4%
1071 1
 
2.4%
96 1
 
2.4%
2272 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 4
9.5%
1 1
 
2.4%
2 2
4.8%
3 3
7.1%
4 1
 
2.4%
5 2
4.8%
7 2
4.8%
11 1
 
2.4%
13 1
 
2.4%
14 1
 
2.4%
ValueCountFrequency (%)
2272 1
2.4%
1466 1
2.4%
1164 1
2.4%
1071 1
2.4%
1052 1
2.4%
355 1
2.4%
335 1
2.4%
265 1
2.4%
227 1
2.4%
127 1
2.4%

충남 천안
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)89.5%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean595.47368
Minimum0
Maximum6077
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:12.084468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18.25
median68
Q3329
95-th percentile3370.35
Maximum6077
Range6077
Interquartile range (IQR)320.75

Descriptive statistics

Standard deviation1312.8072
Coefficient of variation (CV)2.2046435
Kurtosis8.696168
Mean595.47368
Median Absolute Deviation (MAD)63
Skewness2.9132783
Sum22628
Variance1723462.7
MonotonicityNot monotonic
2024-04-21T11:48:12.198576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
5 3
 
7.1%
68 2
 
4.8%
1 2
 
4.8%
58 1
 
2.4%
4041 1
 
2.4%
724 1
 
2.4%
50 1
 
2.4%
142 1
 
2.4%
566 1
 
2.4%
148 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 2
4.8%
3 1
 
2.4%
5 3
7.1%
6 1
 
2.4%
7 1
 
2.4%
8 1
 
2.4%
9 1
 
2.4%
10 1
 
2.4%
15 1
 
2.4%
ValueCountFrequency (%)
6077 1
2.4%
4041 1
2.4%
3252 1
2.4%
2592 1
2.4%
2094 1
2.4%
929 1
2.4%
724 1
2.4%
566 1
2.4%
534 1
2.4%
360 1
2.4%

전북 군산
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean254.84211
Minimum1
Maximum2141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:12.319137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median22.5
Q382.25
95-th percentile1944.2
Maximum2141
Range2140
Interquartile range (IQR)78.25

Descriptive statistics

Standard deviation577.93278
Coefficient of variation (CV)2.2678073
Kurtosis6.2250021
Mean254.84211
Median Absolute Deviation (MAD)21.5
Skewness2.6878118
Sum9684
Variance334006.3
MonotonicityNot monotonic
2024-04-21T11:48:12.445345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 5
 
11.9%
6 2
 
4.8%
4 2
 
4.8%
2 2
 
4.8%
3 2
 
4.8%
200 1
 
2.4%
1910 1
 
2.4%
65 1
 
2.4%
20 1
 
2.4%
2138 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
1 5
11.9%
2 2
 
4.8%
3 2
 
4.8%
4 2
 
4.8%
6 2
 
4.8%
8 1
 
2.4%
9 1
 
2.4%
10 1
 
2.4%
14 1
 
2.4%
20 1
 
2.4%
ValueCountFrequency (%)
2141 1
2.4%
2138 1
2.4%
1910 1
2.4%
1025 1
2.4%
824 1
2.4%
321 1
2.4%
279 1
2.4%
200 1
2.4%
195 1
2.4%
83 1
2.4%

전북 김제
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)55.3%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean70.052632
Minimum0
Maximum820
Zeros9
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:12.552143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q320.75
95-th percentile371.6
Maximum820
Range820
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation182.9067
Coefficient of variation (CV)2.6109898
Kurtosis11.883542
Mean70.052632
Median Absolute Deviation (MAD)7
Skewness3.4711096
Sum2662
Variance33454.862
MonotonicityNot monotonic
2024-04-21T11:48:12.660108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9
21.4%
1 5
11.9%
3 2
 
4.8%
7 2
 
4.8%
12 2
 
4.8%
11 2
 
4.8%
2 2
 
4.8%
21 1
 
2.4%
8 1
 
2.4%
749 1
 
2.4%
Other values (11) 11
26.2%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 9
21.4%
1 5
11.9%
2 2
 
4.8%
3 2
 
4.8%
7 2
 
4.8%
8 1
 
2.4%
9 1
 
2.4%
11 2
 
4.8%
12 2
 
4.8%
13 1
 
2.4%
ValueCountFrequency (%)
820 1
2.4%
749 1
2.4%
305 1
2.4%
232 1
2.4%
161 1
2.4%
75 1
2.4%
70 1
2.4%
66 1
2.4%
38 1
2.4%
21 1
2.4%

전북 남원
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)57.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean53.421053
Minimum0
Maximum596
Zeros7
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:12.752853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q322.75
95-th percentile265.85
Maximum596
Range596
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation122.32403
Coefficient of variation (CV)2.2898095
Kurtosis10.873481
Mean53.421053
Median Absolute Deviation (MAD)5
Skewness3.1757627
Sum2030
Variance14963.169
MonotonicityNot monotonic
2024-04-21T11:48:12.855205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 7
16.7%
1 6
14.3%
5 4
 
9.5%
12 2
 
4.8%
3 2
 
4.8%
19 1
 
2.4%
4 1
 
2.4%
242 1
 
2.4%
14 1
 
2.4%
596 1
 
2.4%
Other values (12) 12
28.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 7
16.7%
1 6
14.3%
2 1
 
2.4%
3 2
 
4.8%
4 1
 
2.4%
5 4
9.5%
9 1
 
2.4%
10 1
 
2.4%
12 2
 
4.8%
14 1
 
2.4%
ValueCountFrequency (%)
596 1
2.4%
367 1
2.4%
248 1
2.4%
242 1
2.4%
189 1
2.4%
74 1
2.4%
68 1
2.4%
53 1
2.4%
38 1
2.4%
24 1
2.4%

전북 익산
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)71.1%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean207.34211
Minimum0
Maximum1967
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:12.963577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median20
Q386.25
95-th percentile1056.55
Maximum1967
Range1967
Interquartile range (IQR)82

Descriptive statistics

Standard deviation446.24059
Coefficient of variation (CV)2.1521947
Kurtosis7.3555872
Mean207.34211
Median Absolute Deviation (MAD)19.5
Skewness2.7500645
Sum7879
Variance199130.66
MonotonicityNot monotonic
2024-04-21T11:48:13.069288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 5
 
11.9%
6 3
 
7.1%
64 3
 
7.1%
0 3
 
7.1%
10 2
 
4.8%
5 1
 
2.4%
156 1
 
2.4%
870 1
 
2.4%
78 1
 
2.4%
14 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
1 5
11.9%
2 1
 
2.4%
4 1
 
2.4%
5 1
 
2.4%
6 3
7.1%
8 1
 
2.4%
10 2
 
4.8%
14 1
 
2.4%
19 1
 
2.4%
ValueCountFrequency (%)
1967 1
2.4%
1496 1
2.4%
979 1
2.4%
954 1
2.4%
870 1
2.4%
337 1
2.4%
215 1
2.4%
208 1
2.4%
156 1
2.4%
88 1
2.4%

전북 전주
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)89.5%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean458.73684
Minimum0
Maximum5033
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:13.179139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q110
median42.5
Q3197.75
95-th percentile2338.9
Maximum5033
Range5033
Interquartile range (IQR)187.75

Descriptive statistics

Standard deviation1042.5648
Coefficient of variation (CV)2.272686
Kurtosis10.332005
Mean458.73684
Median Absolute Deviation (MAD)41
Skewness3.1105311
Sum17432
Variance1086941.4
MonotonicityNot monotonic
2024-04-21T11:48:13.287633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2 2
 
4.8%
0 2
 
4.8%
4 2
 
4.8%
10 2
 
4.8%
208 1
 
2.4%
15 1
 
2.4%
2206 1
 
2.4%
111 1
 
2.4%
26 1
 
2.4%
5033 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
4.8%
1 1
2.4%
2 2
4.8%
4 2
4.8%
5 1
2.4%
9 1
2.4%
10 2
4.8%
11 1
2.4%
12 1
2.4%
13 1
2.4%
ValueCountFrequency (%)
5033 1
2.4%
3058 1
2.4%
2212 1
2.4%
2206 1
2.4%
1647 1
2.4%
583 1
2.4%
443 1
2.4%
421 1
2.4%
415 1
2.4%
208 1
2.4%

전북 정읍
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean74.315789
Minimum0
Maximum913
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:13.391410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9.5
Q331.75
95-th percentile383.1
Maximum913
Range913
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation176.742
Coefficient of variation (CV)2.3782564
Kurtosis13.99184
Mean74.315789
Median Absolute Deviation (MAD)8.5
Skewness3.5278577
Sum2824
Variance31237.735
MonotonicityNot monotonic
2024-04-21T11:48:13.509977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 5
 
11.9%
1 4
 
9.5%
5 3
 
7.1%
2 3
 
7.1%
12 2
 
4.8%
48 1
 
2.4%
369 1
 
2.4%
11 1
 
2.4%
19 1
 
2.4%
913 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 5
11.9%
1 4
9.5%
2 3
7.1%
3 1
 
2.4%
4 1
 
2.4%
5 3
7.1%
7 1
 
2.4%
9 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
ValueCountFrequency (%)
913 1
2.4%
463 1
2.4%
369 1
2.4%
311 1
2.4%
235 1
2.4%
109 1
2.4%
89 1
2.4%
59 1
2.4%
48 1
2.4%
33 1
2.4%

전남 광양
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)71.1%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean112
Minimum0
Maximum1531
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:13.624383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median16.5
Q358
95-th percentile557.15
Maximum1531
Range1531
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation279.3625
Coefficient of variation (CV)2.494308
Kurtosis18.540425
Mean112
Median Absolute Deviation (MAD)14.5
Skewness4.0299352
Sum4256
Variance78043.405
MonotonicityNot monotonic
2024-04-21T11:48:13.737094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 5
 
11.9%
2 4
 
9.5%
0 3
 
7.1%
1 3
 
7.1%
321 1
 
2.4%
16 1
 
2.4%
542 1
 
2.4%
33 1
 
2.4%
17 1
 
2.4%
1531 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
1 3
7.1%
2 4
9.5%
3 5
11.9%
4 1
 
2.4%
5 1
 
2.4%
7 1
 
2.4%
16 1
 
2.4%
17 1
 
2.4%
19 1
 
2.4%
ValueCountFrequency (%)
1531 1
2.4%
643 1
2.4%
542 1
2.4%
357 1
2.4%
321 1
2.4%
179 1
2.4%
137 1
2.4%
128 1
2.4%
69 1
2.4%
64 1
2.4%

전남 나주
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)60.5%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean74.5
Minimum0
Maximum1067
Zeros7
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:13.851914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median8
Q339
95-th percentile361.8
Maximum1067
Range1067
Interquartile range (IQR)37

Descriptive statistics

Standard deviation192.23631
Coefficient of variation (CV)2.5803531
Kurtosis19.792409
Mean74.5
Median Absolute Deviation (MAD)8
Skewness4.1656188
Sum2831
Variance36954.797
MonotonicityNot monotonic
2024-04-21T11:48:13.954833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 7
16.7%
2 3
 
7.1%
8 3
 
7.1%
1 2
 
4.8%
3 2
 
4.8%
24 2
 
4.8%
4 2
 
4.8%
15 2
 
4.8%
7 1
 
2.4%
357 1
 
2.4%
Other values (13) 13
31.0%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 7
16.7%
1 2
 
4.8%
2 3
7.1%
3 2
 
4.8%
4 2
 
4.8%
7 1
 
2.4%
8 3
7.1%
12 1
 
2.4%
13 1
 
2.4%
15 2
 
4.8%
ValueCountFrequency (%)
1067 1
2.4%
389 1
2.4%
357 1
2.4%
305 1
2.4%
214 1
2.4%
81 1
2.4%
63 1
2.4%
62 1
2.4%
53 1
2.4%
44 1
2.4%

전남 목포
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)81.6%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean238.52632
Minimum0
Maximum2365
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:14.071436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16.25
median31
Q3118
95-th percentile1129.05
Maximum2365
Range2365
Interquartile range (IQR)111.75

Descriptive statistics

Standard deviation517.80789
Coefficient of variation (CV)2.1708627
Kurtosis8.5650591
Mean238.52632
Median Absolute Deviation (MAD)27.5
Skewness2.9027245
Sum9064
Variance268125.01
MonotonicityNot monotonic
2024-04-21T11:48:14.171762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2 3
 
7.1%
51 2
 
4.8%
1 2
 
4.8%
7 2
 
4.8%
6 2
 
4.8%
5 2
 
4.8%
247 1
 
2.4%
12 1
 
2.4%
53 1
 
2.4%
23 1
 
2.4%
Other values (21) 21
50.0%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 2
4.8%
2 3
7.1%
5 2
4.8%
6 2
4.8%
7 2
4.8%
8 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
12 1
 
2.4%
ValueCountFrequency (%)
2365 1
2.4%
1747 1
2.4%
1020 1
2.4%
1009 1
2.4%
994 1
2.4%
385 1
2.4%
270 1
2.4%
247 1
2.4%
246 1
2.4%
128 1
2.4%

전남 순천
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean249.31579
Minimum0
Maximum3070
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:14.271711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median20.5
Q385.75
95-th percentile1064.7
Maximum3070
Range3070
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation597.36449
Coefficient of variation (CV)2.3960155
Kurtosis14.100868
Mean249.31579
Median Absolute Deviation (MAD)19.5
Skewness3.5508118
Sum9474
Variance356844.33
MonotonicityNot monotonic
2024-04-21T11:48:14.386944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 3
 
7.1%
0 3
 
7.1%
8 2
 
4.8%
2 2
 
4.8%
4 2
 
4.8%
3 2
 
4.8%
33 1
 
2.4%
936 1
 
2.4%
842 1
 
2.4%
41 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
1 3
7.1%
2 2
4.8%
3 2
4.8%
4 2
4.8%
6 1
 
2.4%
8 2
4.8%
9 1
 
2.4%
14 1
 
2.4%
19 1
 
2.4%
ValueCountFrequency (%)
3070 1
2.4%
1794 1
2.4%
936 1
2.4%
842 1
2.4%
740 1
2.4%
737 1
2.4%
314 1
2.4%
303 1
2.4%
166 1
2.4%
86 1
2.4%

전남 여수
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)73.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean307.15789
Minimum0
Maximum3265
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:14.501833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median31
Q3199.5
95-th percentile1464.4
Maximum3265
Range3265
Interquartile range (IQR)195.25

Descriptive statistics

Standard deviation723.92214
Coefficient of variation (CV)2.3568404
Kurtosis10.770127
Mean307.15789
Median Absolute Deviation (MAD)28
Skewness3.2734398
Sum11672
Variance524063.27
MonotonicityNot monotonic
2024-04-21T11:48:14.847512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5 4
 
9.5%
4 3
 
7.1%
0 3
 
7.1%
1 2
 
4.8%
22 2
 
4.8%
3 2
 
4.8%
407 1
 
2.4%
2872 1
 
2.4%
42 1
 
2.4%
3265 1
 
2.4%
Other values (18) 18
42.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
1 2
4.8%
3 2
4.8%
4 3
7.1%
5 4
9.5%
8 1
 
2.4%
22 2
4.8%
25 1
 
2.4%
26 1
 
2.4%
36 1
 
2.4%
ValueCountFrequency (%)
3265 1
2.4%
2872 1
2.4%
1216 1
2.4%
1129 1
2.4%
809 1
2.4%
443 1
2.4%
407 1
2.4%
371 1
2.4%
264 1
2.4%
228 1
2.4%

경북 경산
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean183.21053
Minimum0
Maximum1968
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:14.952825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q383.25
95-th percentile879.85
Maximum1968
Range1968
Interquartile range (IQR)80.25

Descriptive statistics

Standard deviation401.15375
Coefficient of variation (CV)2.1895781
Kurtosis10.408122
Mean183.21053
Median Absolute Deviation (MAD)16.5
Skewness3.0521899
Sum6962
Variance160924.33
MonotonicityNot monotonic
2024-04-21T11:48:15.074716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4
 
9.5%
1 3
 
7.1%
4 2
 
4.8%
5 2
 
4.8%
23 2
 
4.8%
2 2
 
4.8%
3 2
 
4.8%
17 2
 
4.8%
10 2
 
4.8%
818 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 4
9.5%
1 3
7.1%
2 2
4.8%
3 2
4.8%
4 2
4.8%
5 2
4.8%
7 1
 
2.4%
10 2
4.8%
17 2
4.8%
23 2
4.8%
ValueCountFrequency (%)
1968 1
2.4%
981 1
2.4%
862 1
2.4%
837 1
2.4%
818 1
2.4%
334 1
2.4%
268 1
2.4%
214 1
2.4%
167 1
2.4%
89 1
2.4%

경북 경주
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean213.84211
Minimum0
Maximum2668
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:15.211265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median22.5
Q354
95-th percentile997
Maximum2668
Range2668
Interquartile range (IQR)49

Descriptive statistics

Standard deviation543.09611
Coefficient of variation (CV)2.5397061
Kurtosis13.295217
Mean213.84211
Median Absolute Deviation (MAD)21.5
Skewness3.5787621
Sum8126
Variance294953.38
MonotonicityNot monotonic
2024-04-21T11:48:15.327719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 4
 
9.5%
5 3
 
7.1%
7 2
 
4.8%
1 2
 
4.8%
4 2
 
4.8%
23 1
 
2.4%
799 1
 
2.4%
32 1
 
2.4%
17 1
 
2.4%
2 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 4
9.5%
1 2
4.8%
2 1
 
2.4%
4 2
4.8%
5 3
7.1%
6 1
 
2.4%
7 2
4.8%
10 1
 
2.4%
17 1
 
2.4%
21 1
 
2.4%
ValueCountFrequency (%)
2668 1
2.4%
1932 1
2.4%
832 1
2.4%
799 1
2.4%
514 1
2.4%
263 1
2.4%
222 1
2.4%
215 1
2.4%
143 1
2.4%
55 1
2.4%

경북 구미
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)73.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean331.52632
Minimum0
Maximum4105
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:15.436848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q13.25
median38
Q3151.25
95-th percentile1578.7
Maximum4105
Range4105
Interquartile range (IQR)148

Descriptive statistics

Standard deviation829.54787
Coefficient of variation (CV)2.5022082
Kurtosis13.080857
Mean331.52632
Median Absolute Deviation (MAD)35
Skewness3.5236591
Sum12598
Variance688149.66
MonotonicityNot monotonic
2024-04-21T11:48:15.539952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 4
 
9.5%
2 3
 
7.1%
7 3
 
7.1%
0 2
 
4.8%
56 2
 
4.8%
38 2
 
4.8%
263 1
 
2.4%
1324 1
 
2.4%
171 1
 
2.4%
18 1
 
2.4%
Other values (18) 18
42.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
4.8%
1 1
 
2.4%
2 3
7.1%
3 4
9.5%
4 1
 
2.4%
7 3
7.1%
8 1
 
2.4%
14 1
 
2.4%
18 1
 
2.4%
29 1
 
2.4%
ValueCountFrequency (%)
4105 1
2.4%
2818 1
2.4%
1360 1
2.4%
1324 1
2.4%
884 1
2.4%
405 1
2.4%
288 1
2.4%
277 1
2.4%
263 1
2.4%
171 1
2.4%

경북 김천
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)76.3%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean98.078947
Minimum0
Maximum1373
Zeros6
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:15.639534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median12.5
Q337.5
95-th percentile397.5
Maximum1373
Range1373
Interquartile range (IQR)36.25

Descriptive statistics

Standard deviation247.27131
Coefficient of variation (CV)2.5211457
Kurtosis19.755008
Mean98.078947
Median Absolute Deviation (MAD)12.5
Skewness4.1584363
Sum3727
Variance61143.102
MonotonicityNot monotonic
2024-04-21T11:48:15.744075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 6
 
14.3%
1 4
 
9.5%
3 2
 
4.8%
17 1
 
2.4%
69 1
 
2.4%
341 1
 
2.4%
14 1
 
2.4%
22 1
 
2.4%
1373 1
 
2.4%
5 1
 
2.4%
Other values (19) 19
45.2%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 6
14.3%
1 4
9.5%
2 1
 
2.4%
3 2
 
4.8%
4 1
 
2.4%
5 1
 
2.4%
7 1
 
2.4%
9 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
ValueCountFrequency (%)
1373 1
2.4%
576 1
2.4%
366 1
2.4%
341 1
2.4%
306 1
2.4%
164 1
2.4%
143 1
2.4%
90 1
2.4%
69 1
2.4%
39 1
2.4%

경북 문경
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)50.0%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean42.973684
Minimum0
Maximum577
Zeros8
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:15.850017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5.5
Q321.5
95-th percentile186.7
Maximum577
Range577
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation104.51005
Coefficient of variation (CV)2.4319546
Kurtosis18.859517
Mean42.973684
Median Absolute Deviation (MAD)5.5
Skewness4.0303331
Sum1633
Variance10922.351
MonotonicityNot monotonic
2024-04-21T11:48:15.978461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 8
19.0%
1 5
11.9%
2 5
11.9%
7 2
 
4.8%
17 2
 
4.8%
6 2
 
4.8%
10 2
 
4.8%
5 1
 
2.4%
142 1
 
2.4%
76 1
 
2.4%
Other values (9) 9
21.4%
(Missing) 4
9.5%
ValueCountFrequency (%)
0 8
19.0%
1 5
11.9%
2 5
11.9%
5 1
 
2.4%
6 2
 
4.8%
7 2
 
4.8%
10 2
 
4.8%
14 1
 
2.4%
17 2
 
4.8%
23 1
 
2.4%
ValueCountFrequency (%)
577 1
2.4%
219 1
2.4%
181 1
2.4%
160 1
2.4%
142 1
2.4%
76 1
2.4%
67 1
2.4%
46 1
2.4%
28 1
2.4%
23 1
2.4%

경북 상주
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)57.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean63.368421
Minimum0
Maximum859
Zeros7
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:16.085711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q332
95-th percentile320.5
Maximum859
Range859
Interquartile range (IQR)31

Descriptive statistics

Standard deviation156.97537
Coefficient of variation (CV)2.477186
Kurtosis18.343989
Mean63.368421
Median Absolute Deviation (MAD)9
Skewness4.0095149
Sum2408
Variance24641.266
MonotonicityNot monotonic
2024-04-21T11:48:16.185705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 7
16.7%
1 5
11.9%
3 3
 
7.1%
32 2
 
4.8%
17 2
 
4.8%
9 2
 
4.8%
5 2
 
4.8%
346 1
 
2.4%
13 1
 
2.4%
859 1
 
2.4%
Other values (12) 12
28.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 7
16.7%
1 5
11.9%
3 3
7.1%
5 2
 
4.8%
6 1
 
2.4%
9 2
 
4.8%
10 1
 
2.4%
12 1
 
2.4%
13 1
 
2.4%
17 2
 
4.8%
ValueCountFrequency (%)
859 1
2.4%
346 1
2.4%
316 1
2.4%
245 1
2.4%
149 1
2.4%
98 1
2.4%
84 1
2.4%
48 1
2.4%
36 1
2.4%
32 2
4.8%

경북 안동
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean118.42105
Minimum0
Maximum1339
Zeros7
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:16.281258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median14.5
Q351.75
95-th percentile622.5
Maximum1339
Range1339
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation270.10535
Coefficient of variation (CV)2.2808896
Kurtosis11.822766
Mean118.42105
Median Absolute Deviation (MAD)14.5
Skewness3.2956726
Sum4500
Variance72956.899
MonotonicityNot monotonic
2024-04-21T11:48:16.405540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 7
16.7%
3 3
 
7.1%
4 2
 
4.8%
41 2
 
4.8%
22 2
 
4.8%
1 2
 
4.8%
95 1
 
2.4%
588 1
 
2.4%
13 1
 
2.4%
1339 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 7
16.7%
1 2
 
4.8%
2 1
 
2.4%
3 3
7.1%
4 2
 
4.8%
10 1
 
2.4%
11 1
 
2.4%
13 1
 
2.4%
14 1
 
2.4%
15 1
 
2.4%
ValueCountFrequency (%)
1339 1
2.4%
818 1
2.4%
588 1
2.4%
408 1
2.4%
404 1
2.4%
187 1
2.4%
157 1
2.4%
117 1
2.4%
95 1
2.4%
52 1
2.4%

경북 영주
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)63.2%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean61.763158
Minimum0
Maximum782
Zeros9
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:16.550918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q326.5
95-th percentile280.25
Maximum782
Range782
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation150.59906
Coefficient of variation (CV)2.4383316
Kurtosis15.092435
Mean61.763158
Median Absolute Deviation (MAD)7
Skewness3.700399
Sum2347
Variance22680.078
MonotonicityNot monotonic
2024-04-21T11:48:16.663828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 9
21.4%
1 5
 
11.9%
9 2
 
4.8%
2 2
 
4.8%
8 1
 
2.4%
39 1
 
2.4%
248 1
 
2.4%
782 1
 
2.4%
6 1
 
2.4%
3 1
 
2.4%
Other values (14) 14
33.3%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 9
21.4%
1 5
11.9%
2 2
 
4.8%
3 1
 
2.4%
4 1
 
2.4%
6 1
 
2.4%
8 1
 
2.4%
9 2
 
4.8%
10 1
 
2.4%
11 1
 
2.4%
ValueCountFrequency (%)
782 1
2.4%
463 1
2.4%
248 1
2.4%
194 1
2.4%
166 1
2.4%
120 1
2.4%
89 1
2.4%
69 1
2.4%
39 1
2.4%
27 1
2.4%

경북 영천
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)65.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean78.763158
Minimum0
Maximum993
Zeros8
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:16.774982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median9.5
Q332
95-th percentile388
Maximum993
Range993
Interquartile range (IQR)30.75

Descriptive statistics

Standard deviation191.75497
Coefficient of variation (CV)2.434577
Kurtosis14.387134
Mean78.763158
Median Absolute Deviation (MAD)9.5
Skewness3.5880846
Sum2993
Variance36769.969
MonotonicityNot monotonic
2024-04-21T11:48:16.880697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 8
19.0%
2 4
 
9.5%
13 2
 
4.8%
7 2
 
4.8%
1 2
 
4.8%
74 1
 
2.4%
252 1
 
2.4%
335 1
 
2.4%
14 1
 
2.4%
8 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 8
19.0%
1 2
 
4.8%
2 4
9.5%
5 1
 
2.4%
7 2
 
4.8%
8 1
 
2.4%
9 1
 
2.4%
10 1
 
2.4%
11 1
 
2.4%
13 2
 
4.8%
ValueCountFrequency (%)
993 1
2.4%
524 1
2.4%
364 1
2.4%
335 1
2.4%
252 1
2.4%
99 1
2.4%
74 1
2.4%
64 1
2.4%
63 1
2.4%
34 1
2.4%

경북 포항
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)81.6%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean434.55263
Minimum0
Maximum5008
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:16.981988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q16
median47
Q3118.5
95-th percentile2808.4
Maximum5008
Range5008
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation1035.0705
Coefficient of variation (CV)2.3819221
Kurtosis10.898981
Mean434.55263
Median Absolute Deviation (MAD)44
Skewness3.2175737
Sum16513
Variance1071371
MonotonicityNot monotonic
2024-04-21T11:48:17.089653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 4
 
9.5%
6 3
 
7.1%
110 2
 
4.8%
0 2
 
4.8%
120 1
 
2.4%
30 1
 
2.4%
21 1
 
2.4%
5008 1
 
2.4%
2941 1
 
2.4%
83 1
 
2.4%
Other values (21) 21
50.0%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
4.8%
2 1
 
2.4%
3 4
9.5%
4 1
 
2.4%
5 1
 
2.4%
6 3
7.1%
8 1
 
2.4%
11 1
 
2.4%
21 1
 
2.4%
30 1
 
2.4%
ValueCountFrequency (%)
5008 1
2.4%
2941 1
2.4%
2785 1
2.4%
1702 1
2.4%
1234 1
2.4%
578 1
2.4%
520 1
2.4%
388 1
2.4%
261 1
2.4%
120 1
2.4%

경남 거제
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)73.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean227.31579
Minimum0
Maximum2207
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:17.195067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median25
Q398.5
95-th percentile1419.55
Maximum2207
Range2207
Interquartile range (IQR)95

Descriptive statistics

Standard deviation523.64756
Coefficient of variation (CV)2.3036128
Kurtosis8.8514048
Mean227.31579
Median Absolute Deviation (MAD)24.5
Skewness3.0418381
Sum8638
Variance274206.76
MonotonicityNot monotonic
2024-04-21T11:48:17.292552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 4
 
9.5%
5 3
 
7.1%
1 2
 
4.8%
32 2
 
4.8%
3 2
 
4.8%
2 2
 
4.8%
8 2
 
4.8%
795 1
 
2.4%
30 1
 
2.4%
2207 1
 
2.4%
Other values (18) 18
42.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 4
9.5%
1 2
4.8%
2 2
4.8%
3 2
4.8%
5 3
7.1%
8 2
4.8%
12 1
 
2.4%
14 1
 
2.4%
16 1
 
2.4%
20 1
 
2.4%
ValueCountFrequency (%)
2207 1
2.4%
2080 1
2.4%
1303 1
2.4%
795 1
2.4%
508 1
2.4%
305 1
2.4%
296 1
2.4%
244 1
2.4%
202 1
2.4%
101 1
2.4%

경남 김해
Real number (ℝ)

MISSING  ZEROS 

Distinct32
Distinct (%)84.2%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean446.89474
Minimum0
Maximum4499
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:17.396960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median71
Q3147.5
95-th percentile2504
Maximum4499
Range4499
Interquartile range (IQR)143.5

Descriptive statistics

Standard deviation979.50279
Coefficient of variation (CV)2.1917976
Kurtosis8.4271023
Mean446.89474
Median Absolute Deviation (MAD)68
Skewness2.883519
Sum16982
Variance959425.72
MonotonicityNot monotonic
2024-04-21T11:48:17.506345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3 3
 
7.1%
4 3
 
7.1%
2 2
 
4.8%
1 2
 
4.8%
478 1
 
2.4%
1971 1
 
2.4%
120 1
 
2.4%
8 1
 
2.4%
30 1
 
2.4%
4499 1
 
2.4%
Other values (22) 22
52.4%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 2
4.8%
2 2
4.8%
3 3
7.1%
4 3
7.1%
7 1
 
2.4%
8 1
 
2.4%
10 1
 
2.4%
16 1
 
2.4%
30 1
 
2.4%
ValueCountFrequency (%)
4499 1
2.4%
3048 1
2.4%
2408 1
2.4%
1971 1
2.4%
1641 1
2.4%
565 1
2.4%
542 1
2.4%
478 1
2.4%
438 1
2.4%
149 1
2.4%

경남 밀양
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)65.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean73.315789
Minimum0
Maximum741
Zeros5
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:17.616094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median8
Q345.25
95-th percentile474.2
Maximum741
Range741
Interquartile range (IQR)44

Descriptive statistics

Standard deviation160.71397
Coefficient of variation (CV)2.1920785
Kurtosis9.2393768
Mean73.315789
Median Absolute Deviation (MAD)8
Skewness3.0398511
Sum2786
Variance25828.979
MonotonicityNot monotonic
2024-04-21T11:48:17.736105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 5
 
11.9%
1 5
 
11.9%
2 3
 
7.1%
8 2
 
4.8%
6 2
 
4.8%
3 2
 
4.8%
515 1
 
2.4%
467 1
 
2.4%
26 1
 
2.4%
741 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 5
11.9%
1 5
11.9%
2 3
7.1%
3 2
 
4.8%
4 1
 
2.4%
6 2
 
4.8%
8 2
 
4.8%
12 1
 
2.4%
13 1
 
2.4%
17 1
 
2.4%
ValueCountFrequency (%)
741 1
2.4%
515 1
2.4%
467 1
2.4%
246 1
2.4%
144 1
2.4%
128 1
2.4%
96 1
2.4%
92 1
2.4%
64 1
2.4%
47 1
2.4%

경남 사천
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)68.4%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean83.973684
Minimum0
Maximum926
Zeros8
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:17.847285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q337.5
95-th percentile528.65
Maximum926
Range926
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation190.52481
Coefficient of variation (CV)2.2688633
Kurtosis11.010465
Mean83.973684
Median Absolute Deviation (MAD)12
Skewness3.2220993
Sum3191
Variance36299.702
MonotonicityNot monotonic
2024-04-21T11:48:17.944171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 8
19.0%
1 3
 
7.1%
2 2
 
4.8%
3 2
 
4.8%
12 2
 
4.8%
7 1
 
2.4%
52 1
 
2.4%
555 1
 
2.4%
26 1
 
2.4%
19 1
 
2.4%
Other values (16) 16
38.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 8
19.0%
1 3
 
7.1%
2 2
 
4.8%
3 2
 
4.8%
4 1
 
2.4%
5 1
 
2.4%
7 1
 
2.4%
12 2
 
4.8%
16 1
 
2.4%
18 1
 
2.4%
ValueCountFrequency (%)
926 1
2.4%
555 1
2.4%
524 1
2.4%
253 1
2.4%
206 1
2.4%
164 1
2.4%
122 1
2.4%
118 1
2.4%
52 1
2.4%
40 1
2.4%

경남 양산
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)73.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean227.81579
Minimum0
Maximum2275
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:18.067004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q12.25
median23.5
Q3154.25
95-th percentile1234.95
Maximum2275
Range2275
Interquartile range (IQR)152

Descriptive statistics

Standard deviation508.83741
Coefficient of variation (CV)2.2335476
Kurtosis8.7861523
Mean227.81579
Median Absolute Deviation (MAD)22.5
Skewness2.9758462
Sum8657
Variance258915.51
MonotonicityNot monotonic
2024-04-21T11:48:18.176309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2 5
 
11.9%
1 3
 
7.1%
60 2
 
4.8%
0 2
 
4.8%
3 2
 
4.8%
30 2
 
4.8%
1841 1
 
2.4%
1128 1
 
2.4%
176 1
 
2.4%
17 1
 
2.4%
Other values (18) 18
42.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
 
4.8%
1 3
7.1%
2 5
11.9%
3 2
 
4.8%
4 1
 
2.4%
6 1
 
2.4%
7 1
 
2.4%
9 1
 
2.4%
16 1
 
2.4%
17 1
 
2.4%
ValueCountFrequency (%)
2275 1
2.4%
1841 1
2.4%
1128 1
2.4%
984 1
2.4%
628 1
2.4%
322 1
2.4%
286 1
2.4%
249 1
2.4%
215 1
2.4%
176 1
2.4%

경남 진주
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)78.9%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean235.81579
Minimum0
Maximum1944
Zeros4
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:18.286016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median23.5
Q390.25
95-th percentile1711.95
Maximum1944
Range1944
Interquartile range (IQR)87

Descriptive statistics

Standard deviation504.45742
Coefficient of variation (CV)2.1392012
Kurtosis5.8168562
Mean235.81579
Median Absolute Deviation (MAD)23.5
Skewness2.5932296
Sum8961
Variance254477.29
MonotonicityNot monotonic
2024-04-21T11:48:18.411441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 4
 
9.5%
2 3
 
7.1%
3 2
 
4.8%
4 2
 
4.8%
5 2
 
4.8%
85 1
 
2.4%
20 1
 
2.4%
888 1
 
2.4%
83 1
 
2.4%
18 1
 
2.4%
Other values (20) 20
47.6%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 4
9.5%
1 1
 
2.4%
2 3
7.1%
3 2
4.8%
4 2
4.8%
5 2
4.8%
7 1
 
2.4%
15 1
 
2.4%
18 1
 
2.4%
19 1
 
2.4%
ValueCountFrequency (%)
1944 1
2.4%
1723 1
2.4%
1710 1
2.4%
888 1
2.4%
820 1
2.4%
347 1
2.4%
328 1
2.4%
312 1
2.4%
160 1
2.4%
92 1
2.4%

경남 창원
Real number (ℝ)

MISSING  ZEROS 

Distinct34
Distinct (%)89.5%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean737.5
Minimum0
Maximum6683
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:18.559783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.85
Q112.75
median75.5
Q3295.75
95-th percentile3997.1
Maximum6683
Range6683
Interquartile range (IQR)283

Descriptive statistics

Standard deviation1574.2555
Coefficient of variation (CV)2.1345837
Kurtosis6.7259457
Mean737.5
Median Absolute Deviation (MAD)74
Skewness2.6761146
Sum28025
Variance2478280.3
MonotonicityNot monotonic
2024-04-21T11:48:18.676992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 3
 
7.1%
4 2
 
4.8%
19 2
 
4.8%
66 1
 
2.4%
5522 1
 
2.4%
3728 1
 
2.4%
184 1
 
2.4%
27 1
 
2.4%
1 1
 
2.4%
6683 1
 
2.4%
Other values (24) 24
57.1%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
 
2.4%
1 1
 
2.4%
2 1
 
2.4%
4 2
4.8%
6 3
7.1%
7 1
 
2.4%
11 1
 
2.4%
18 1
 
2.4%
19 2
4.8%
23 1
 
2.4%
ValueCountFrequency (%)
6683 1
2.4%
5522 1
2.4%
3728 1
2.4%
3377 1
2.4%
2882 1
2.4%
986 1
2.4%
963 1
2.4%
835 1
2.4%
766 1
2.4%
303 1
2.4%

경남 통영
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)71.1%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean165.15789
Minimum0
Maximum1480
Zeros6
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:18.780325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median21
Q3126.5
95-th percentile993
Maximum1480
Range1480
Interquartile range (IQR)123.5

Descriptive statistics

Standard deviation351.84237
Coefficient of variation (CV)2.1303394
Kurtosis7.805798
Mean165.15789
Median Absolute Deviation (MAD)20
Skewness2.8466616
Sum6276
Variance123793.06
MonotonicityNot monotonic
2024-04-21T11:48:18.893995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 6
 
14.3%
3 4
 
9.5%
28 2
 
4.8%
10 2
 
4.8%
1 2
 
4.8%
31 1
 
2.4%
128 1
 
2.4%
1480 1
 
2.4%
9 1
 
2.4%
1350 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 6
14.3%
1 2
 
4.8%
2 1
 
2.4%
3 4
9.5%
8 1
 
2.4%
9 1
 
2.4%
10 2
 
4.8%
12 1
 
2.4%
17 1
 
2.4%
25 1
 
2.4%
ValueCountFrequency (%)
1480 1
2.4%
1350 1
2.4%
930 1
2.4%
492 1
2.4%
412 1
2.4%
376 1
2.4%
270 1
2.4%
214 1
2.4%
163 1
2.4%
128 1
2.4%

제주 서귀포
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)71.1%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean201.05263
Minimum0
Maximum2378
Zeros2
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:19.012425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.85
Q13
median20
Q381.5
95-th percentile1011.35
Maximum2378
Range2378
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation465.67666
Coefficient of variation (CV)2.3161928
Kurtosis13.113207
Mean201.05263
Median Absolute Deviation (MAD)19
Skewness3.4074181
Sum7640
Variance216854.75
MonotonicityNot monotonic
2024-04-21T11:48:19.111752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 5
 
11.9%
1 4
 
9.5%
0 2
 
4.8%
53 2
 
4.8%
20 2
 
4.8%
2 2
 
4.8%
25 1
 
2.4%
10 1
 
2.4%
1240 1
 
2.4%
9 1
 
2.4%
Other values (17) 17
40.5%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 2
 
4.8%
1 4
9.5%
2 2
 
4.8%
3 5
11.9%
4 1
 
2.4%
8 1
 
2.4%
9 1
 
2.4%
10 1
 
2.4%
15 1
 
2.4%
20 2
 
4.8%
ValueCountFrequency (%)
2378 1
2.4%
1240 1
2.4%
971 1
2.4%
858 1
2.4%
588 1
2.4%
387 1
2.4%
331 1
2.4%
180 1
2.4%
155 1
2.4%
86 1
2.4%

제주 제주
Real number (ℝ)

MISSING  ZEROS 

Distinct36
Distinct (%)94.7%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean573.42105
Minimum0
Maximum6417
Zeros1
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:19.215783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.85
Q17.5
median49
Q3441.5
95-th percentile3205.8
Maximum6417
Range6417
Interquartile range (IQR)434

Descriptive statistics

Standard deviation1283.8449
Coefficient of variation (CV)2.2389218
Kurtosis11.728763
Mean573.42105
Median Absolute Deviation (MAD)45.5
Skewness3.241159
Sum21790
Variance1648257.8
MonotonicityNot monotonic
2024-04-21T11:48:19.325669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 2
 
4.8%
7 2
 
4.8%
78 1
 
2.4%
56 1
 
2.4%
494 1
 
2.4%
44 1
 
2.4%
154 1
 
2.4%
75 1
 
2.4%
789 1
 
2.4%
15 1
 
2.4%
Other values (26) 26
61.9%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 1
2.4%
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 2
4.8%
7 2
4.8%
9 1
2.4%
13 1
2.4%
ValueCountFrequency (%)
6417 1
2.4%
3301 1
2.4%
3189 1
2.4%
2124 1
2.4%
2041 1
2.4%
861 1
2.4%
789 1
2.4%
672 1
2.4%
559 1
2.4%
494 1
2.4%

기타도시
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)65.8%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean204.44737
Minimum0
Maximum4170
Zeros3
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:19.661154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12.5
Q348.25
95-th percentile823.05
Maximum4170
Range4170
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation716.11937
Coefficient of variation (CV)3.5027077
Kurtosis27.07279
Mean204.44737
Median Absolute Deviation (MAD)11.5
Skewness5.0376418
Sum7769
Variance512826.96
MonotonicityNot monotonic
2024-04-21T11:48:19.777108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 5
 
11.9%
1 4
 
9.5%
0 3
 
7.1%
10 2
 
4.8%
46 2
 
4.8%
7 2
 
4.8%
4 2
 
4.8%
690 1
 
2.4%
1577 1
 
2.4%
97 1
 
2.4%
Other values (15) 15
35.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
0 3
7.1%
1 4
9.5%
2 5
11.9%
3 1
 
2.4%
4 2
 
4.8%
7 2
 
4.8%
10 2
 
4.8%
15 1
 
2.4%
17 1
 
2.4%
19 1
 
2.4%
ValueCountFrequency (%)
4170 1
2.4%
1577 1
2.4%
690 1
2.4%
319 1
2.4%
219 1
2.4%
149 1
2.4%
124 1
2.4%
97 1
2.4%
50 1
2.4%
49 1
2.4%

도시이외
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing4
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean2647.2105
Minimum4
Maximum30914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2024-04-21T11:48:19.890781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile9.25
Q154.75
median423.5
Q31410.75
95-th percentile14730.05
Maximum30914
Range30910
Interquartile range (IQR)1356

Descriptive statistics

Standard deviation6288.0938
Coefficient of variation (CV)2.375366
Kurtosis12.341202
Mean2647.2105
Median Absolute Deviation (MAD)388
Skewness3.4303958
Sum100594
Variance39540124
MonotonicityNot monotonic
2024-04-21T11:48:20.022876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
620 1
 
2.4%
5 1
 
2.4%
13634 1
 
2.4%
1926 1
 
2.4%
284 1
 
2.4%
451 1
 
2.4%
455 1
 
2.4%
2017 1
 
2.4%
660 1
 
2.4%
52 1
 
2.4%
Other values (28) 28
66.7%
(Missing) 4
 
9.5%
ValueCountFrequency (%)
4 1
2.4%
5 1
2.4%
10 1
2.4%
32 1
2.4%
34 1
2.4%
35 1
2.4%
36 1
2.4%
47 1
2.4%
52 1
2.4%
54 1
2.4%
ValueCountFrequency (%)
30914 1
2.4%
20941 1
2.4%
13634 1
2.4%
8442 1
2.4%
6403 1
2.4%
3633 1
2.4%
2854 1
2.4%
2017 1
2.4%
1926 1
2.4%
1485 1
2.4%

Sample

범죄대분류범죄중분류서울부산대구인천광주대전울산세종경기 고양경기 과천경기 광명경기 광주경기 구리경기 군포경기 김포경기 남양주경기 동두천경기 부천경기 성남경기 수원경기 시흥경기 안산경기 안성경기 안양경기 양주경기 여주경기 오산경기 용인경기 의왕경기 의정부경기 이천경기 파주경기 평택경기 포천경기 하남경기 화성강원 강릉강원 동해강원 삼척강원 속초강원 원주강원 춘천강원 태백충북 제천충북 청주충북 충주충남 계룡충남 공주충남 논산충남 당진충남 보령충남 서산충남 아산충남 천안전북 군산전북 김제전북 남원전북 익산전북 전주전북 정읍전남 광양전남 나주전남 목포전남 순천전남 여수경북 경산경북 경주경북 구미경북 김천경북 문경경북 상주경북 안동경북 영주경북 영천경북 포항경남 거제경남 김해경남 밀양경남 사천경남 양산경남 진주경남 창원경남 통영제주 서귀포제주 제주기타도시도시이외
0강력범죄살인기수45269231049230122013247722020215011242362110332181001111234001511020400301000152401244035032
1강력범죄살인미수등97272121811231001423140810976343347281752110001100021310040107510349212245343111010833413218326236
2강력범죄강도1398644372751265707350432201620101033009121005146053021230415201161071931361103110234774001226310234519319435
3강력범죄강간1159323246362197175108257712019181825371283991364885227717112152134123315422827271151438165149018215196141436912411521791222124433253221401726148104830311272931668257810353
4강력범죄유사강간180462944242011414163032821615204161230314050172074114651213204421051560051512374574312321061241025190414154
5강력범죄강제추행50021083693116048153230161260171036181628316534298319399167281481745044531972316773102157424414394321126106721145260634262538314097179672119642081540248885776651923017244118191147312421236085218316419324837
6강력범죄기타강간강제추행등5913191918982510210102541126132113144321001020310143010115051212233066335402330135410306134134
7강력범죄방화2931086977274631424169037218261735142151210552311981125124147132107172940610856112614311013222688107775111268166497242148130122
8절도범죄절도범죄3918214373816994734832554033495882262175102781283365810101274329371531265381171430256201662475414870220121617237811112206056354619356581682242281065878773083333769603714605732785951164325210251612489792212311321305994740809981832136036614224540819436417027952408246206984172333774128582124498442
9폭력범죄상해5119370925201839103910121127130480271641491441041593271044706066832864241603451468917431349238212320591145118427241150106137324288681126971861813611214710523233553427970742155831091798127031426421421527714376981878974520305542128164286328986270331559263633
범죄대분류범죄중분류서울부산대구인천광주대전울산세종경기 고양경기 과천경기 광명경기 광주경기 구리경기 군포경기 김포경기 남양주경기 동두천경기 부천경기 성남경기 수원경기 시흥경기 안산경기 안성경기 안양경기 양주경기 여주경기 오산경기 용인경기 의왕경기 의정부경기 이천경기 파주경기 평택경기 포천경기 하남경기 화성강원 강릉강원 동해강원 삼척강원 속초강원 원주강원 춘천강원 태백충북 제천충북 청주충북 충주충남 계룡충남 공주충남 논산충남 당진충남 보령충남 서산충남 아산충남 천안전북 군산전북 김제전북 남원전북 익산전북 전주전북 정읍전남 광양전남 나주전남 목포전남 순천전남 여수경북 경산경북 경주경북 구미경북 김천경북 문경경북 상주경북 안동경북 영주경북 영천경북 포항경남 거제경남 김해경남 밀양경남 사천경남 양산경남 진주경남 창원경남 통영제주 서귀포제주 제주기타도시도시이외
32교통범죄교통범죄6113222894222001817313779119679956139873496072169307115781267328943397646974759211159632772382160334821611061221362831185305223073641593622501934576217336175338783506259435313388605214612210799351767930140822726077213882059619675033913153110672365307032651968266841051373577859133978299350082080449974192622751944668313502378641731930914
33노동범죄노동범죄1835914429126717230015792463231113934723912113061661210119064720421012201403026310140221135102230002521830201726103535377
34안보범죄안보범죄2905420101000001000311201000000010000010011000100100101100000000000000000000010010100024
35선거범죄선거범죄213806359422648820468994978252415101223367111911211211801116348214812111011362465102071214261917848202221718221017139830583192182799327412
36병역범죄병역범죄338363249010102634482121153481483112633858303582912463541852411001391152785194522419018113585641665034781054459191533213726273396360657147811111331739414261321711410132291412091120262617683184285310797626
37기타범죄기타범죄41780193348076129184552519946726463292318982120376368914152685398386732205322180232601006195590345695426413431798932155232977657072619801128140949413571021165437314171180409443684588723107125921910749242870220636954235710208422872837799132434118134658824833527852207197146755511288883728148012403189157720941
38<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

범죄대분류범죄중분류서울부산대구인천광주대전울산세종경기 고양경기 과천경기 광명경기 광주경기 구리경기 군포경기 김포경기 남양주경기 동두천경기 부천경기 성남경기 수원경기 시흥경기 안산경기 안성경기 안양경기 양주경기 여주경기 오산경기 용인경기 의왕경기 의정부경기 이천경기 파주경기 평택경기 포천경기 하남경기 화성강원 강릉강원 동해강원 삼척강원 속초강원 원주강원 춘천강원 태백충북 제천충북 청주충북 충주충남 계룡충남 공주충남 논산충남 당진충남 보령충남 서산충남 아산충남 천안전북 군산전북 김제전북 남원전북 익산전북 전주전북 정읍전남 광양전남 나주전남 목포전남 순천전남 여수경북 경산경북 경주경북 구미경북 김천경북 문경경북 상주경북 안동경북 영주경북 영천경북 포항경남 거제경남 김해경남 밀양경남 사천경남 양산경남 진주경남 창원경남 통영제주 서귀포제주 제주기타도시도시이외# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3