Overview

Dataset statistics

Number of variables4
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory33.9 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description2011년-2022년간 서울특별시 강북구의 불법 주정차 단속 건에 대한 테이터로 월별 현황에 대한 통계자료를 제공합니다.
URLhttps://www.data.go.kr/data/15101735/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
단속년월 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:23:25.970775
Analysis finished2023-12-12 10:23:26.345000
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울특별시
144 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 144
100.0%

Length

2023-12-12T19:23:26.444562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:23:26.560149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 144
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
강북구
144 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강북구 144
100.0%

Length

2023-12-12T19:23:26.660342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:23:26.759824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강북구 144
100.0%

단속년월
Text

UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:23:26.938201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.25
Min length8

Characters and Unicode

Total characters1188
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)100.0%

Sample

1st row2011년 1월
2nd row2011년 2월
3rd row2011년 3월
4th row2011년 4월
5th row2011년 5월
ValueCountFrequency (%)
2011년 12
 
4.2%
1월 12
 
4.2%
2021년 12
 
4.2%
2020년 12
 
4.2%
2019년 12
 
4.2%
2018년 12
 
4.2%
2017년 12
 
4.2%
2015년 12
 
4.2%
2016년 12
 
4.2%
2014년 12
 
4.2%
Other values (14) 168
58.3%
2023-12-12T19:23:27.270221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 228
19.2%
1 192
16.2%
0 168
14.1%
144
12.1%
144
12.1%
144
12.1%
9 24
 
2.0%
3 24
 
2.0%
4 24
 
2.0%
5 24
 
2.0%
Other values (3) 72
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 756
63.6%
Other Letter 288
 
24.2%
Space Separator 144
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 228
30.2%
1 192
25.4%
0 168
22.2%
9 24
 
3.2%
3 24
 
3.2%
4 24
 
3.2%
5 24
 
3.2%
6 24
 
3.2%
7 24
 
3.2%
8 24
 
3.2%
Other Letter
ValueCountFrequency (%)
144
50.0%
144
50.0%
Space Separator
ValueCountFrequency (%)
144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 900
75.8%
Hangul 288
 
24.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 228
25.3%
1 192
21.3%
0 168
18.7%
144
16.0%
9 24
 
2.7%
3 24
 
2.7%
4 24
 
2.7%
5 24
 
2.7%
6 24
 
2.7%
7 24
 
2.7%
Hangul
ValueCountFrequency (%)
144
50.0%
144
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
75.8%
Hangul 288
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 228
25.3%
1 192
21.3%
0 168
18.7%
144
16.0%
9 24
 
2.7%
3 24
 
2.7%
4 24
 
2.7%
5 24
 
2.7%
6 24
 
2.7%
7 24
 
2.7%
Hangul
ValueCountFrequency (%)
144
50.0%
144
50.0%

단속건수
Real number (ℝ)

Distinct139
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3631.4236
Minimum1606
Maximum6213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T19:23:27.452907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1606
5-th percentile2121.75
Q12529.5
median3763
Q34540.75
95-th percentile5311.25
Maximum6213
Range4607
Interquartile range (IQR)2011.25

Descriptive statistics

Standard deviation1114.4448
Coefficient of variation (CV)0.30688923
Kurtosis-1.1729435
Mean3631.4236
Median Absolute Deviation (MAD)984.5
Skewness0.061023167
Sum522925
Variance1241987.2
MonotonicityNot monotonic
2023-12-12T19:23:27.633424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2190 2
 
1.4%
5012 2
 
1.4%
5238 2
 
1.4%
3953 2
 
1.4%
4100 2
 
1.4%
4738 1
 
0.7%
3761 1
 
0.7%
3966 1
 
0.7%
4992 1
 
0.7%
5405 1
 
0.7%
Other values (129) 129
89.6%
ValueCountFrequency (%)
1606 1
0.7%
1836 1
0.7%
1892 1
0.7%
1949 1
0.7%
1972 1
0.7%
2094 1
0.7%
2096 1
0.7%
2118 1
0.7%
2143 1
0.7%
2165 1
0.7%
ValueCountFrequency (%)
6213 1
0.7%
5900 1
0.7%
5662 1
0.7%
5549 1
0.7%
5498 1
0.7%
5451 1
0.7%
5405 1
0.7%
5321 1
0.7%
5256 1
0.7%
5238 2
1.4%

Interactions

2023-12-12T19:23:26.034183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T19:23:26.200291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:23:26.304898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시도명시군구명단속년월단속건수
0서울특별시강북구2011년 1월2628
1서울특별시강북구2011년 2월2445
2서울특별시강북구2011년 3월2786
3서울특별시강북구2011년 4월2817
4서울특별시강북구2011년 5월2172
5서울특별시강북구2011년 6월2143
6서울특별시강북구2011년 7월2207
7서울특별시강북구2011년 8월2549
8서울특별시강북구2011년 9월2560
9서울특별시강북구2011년 10월2780
시도명시군구명단속년월단속건수
134서울특별시강북구2022년 3월4555
135서울특별시강북구2022년 4월4431
136서울특별시강북구2022년 5월4163
137서울특별시강북구2022년 6월3569
138서울특별시강북구2022년 7월3713
139서울특별시강북구2022년 8월4007
140서울특별시강북구2022년 9월3618
141서울특별시강북구2022년 10월3143
142서울특별시강북구2022년 11월3492
143서울특별시강북구2022년 12월4100