Overview

Dataset statistics

Number of variables4
Number of observations3945
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory131.1 KiB
Average record size in memory34.0 B

Variable types

Numeric2
Text1
DateTime1

Dataset

Description경기도 광주시의 주정차위반 단속 현황에 대한 데이터로 주정차위반 단속위치, 단속건수(최근 1년) 등을 제공합니다.
URLhttps://www.data.go.kr/data/15017231/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:22:21.699320
Analysis finished2023-12-12 23:22:22.401552
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct3945
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1973
Minimum1
Maximum3945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.8 KiB
2023-12-13T08:22:22.468076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile198.2
Q1987
median1973
Q32959
95-th percentile3747.8
Maximum3945
Range3944
Interquartile range (IQR)1972

Descriptive statistics

Standard deviation1138.9677
Coefficient of variation (CV)0.57727711
Kurtosis-1.2
Mean1973
Median Absolute Deviation (MAD)986
Skewness0
Sum7783485
Variance1297247.5
MonotonicityStrictly increasing
2023-12-13T08:22:22.609585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2621 1
 
< 0.1%
2623 1
 
< 0.1%
2624 1
 
< 0.1%
2625 1
 
< 0.1%
2626 1
 
< 0.1%
2627 1
 
< 0.1%
2628 1
 
< 0.1%
2629 1
 
< 0.1%
2630 1
 
< 0.1%
Other values (3935) 3935
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3945 1
< 0.1%
3944 1
< 0.1%
3943 1
< 0.1%
3942 1
< 0.1%
3941 1
< 0.1%
3940 1
< 0.1%
3939 1
< 0.1%
3938 1
< 0.1%
3937 1
< 0.1%
3936 1
< 0.1%
Distinct3918
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size30.9 KiB
2023-12-13T08:22:22.998411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length13.482383
Min length3

Characters and Unicode

Total characters53188
Distinct characters250
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3891 ?
Unique (%)98.6%

Sample

1st rowGS25광주안골점 부근
2nd row가락공판장 오포점 부근
3rd row감초당약국 부근
4th row경기약국앞
5th row경안동 광창주차장 부근
ValueCountFrequency (%)
인도 1064
 
11.3%
부근 701
 
7.5%
횡단보도 660
 
7.0%
어린이보호구역 258
 
2.8%
버스정류소 243
 
2.6%
교차로모퉁이 221
 
2.4%
소화전 213
 
2.3%
기타 184
 
2.0%
초월읍쌍동리 173
 
1.8%
곤지암읍곤지암리 142
 
1.5%
Other values (2946) 5516
58.8%
2023-12-13T08:22:23.487059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5434
 
10.2%
3375
 
6.3%
- 2899
 
5.5%
1 2707
 
5.1%
2 2098
 
3.9%
1882
 
3.5%
3 1825
 
3.4%
4 1426
 
2.7%
5 1333
 
2.5%
6 1258
 
2.4%
Other values (240) 28951
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29943
56.3%
Decimal Number 14460
27.2%
Space Separator 5434
 
10.2%
Dash Punctuation 2899
 
5.5%
Close Punctuation 164
 
0.3%
Open Punctuation 164
 
0.3%
Uppercase Letter 78
 
0.1%
Other Punctuation 25
 
< 0.1%
Lowercase Letter 16
 
< 0.1%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3375
 
11.3%
1882
 
6.3%
1092
 
3.6%
1006
 
3.4%
778
 
2.6%
777
 
2.6%
743
 
2.5%
731
 
2.4%
724
 
2.4%
716
 
2.4%
Other values (212) 18119
60.5%
Decimal Number
ValueCountFrequency (%)
1 2707
18.7%
2 2098
14.5%
3 1825
12.6%
4 1426
9.9%
5 1333
9.2%
6 1258
8.7%
7 1154
8.0%
0 1024
 
7.1%
8 847
 
5.9%
9 788
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
M 64
82.1%
N 5
 
6.4%
D 5
 
6.4%
E 2
 
2.6%
S 1
 
1.3%
G 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 9
36.0%
. 8
32.0%
/ 7
28.0%
? 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
m 6
37.5%
a 5
31.2%
e 5
31.2%
Space Separator
ValueCountFrequency (%)
5434
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2899
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29943
56.3%
Common 23151
43.5%
Latin 94
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3375
 
11.3%
1882
 
6.3%
1092
 
3.6%
1006
 
3.4%
778
 
2.6%
777
 
2.6%
743
 
2.5%
731
 
2.4%
724
 
2.4%
716
 
2.4%
Other values (212) 18119
60.5%
Common
ValueCountFrequency (%)
5434
23.5%
- 2899
12.5%
1 2707
11.7%
2 2098
 
9.1%
3 1825
 
7.9%
4 1426
 
6.2%
5 1333
 
5.8%
6 1258
 
5.4%
7 1154
 
5.0%
0 1024
 
4.4%
Other values (9) 1993
 
8.6%
Latin
ValueCountFrequency (%)
M 64
68.1%
m 6
 
6.4%
N 5
 
5.3%
D 5
 
5.3%
a 5
 
5.3%
e 5
 
5.3%
E 2
 
2.1%
S 1
 
1.1%
G 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29943
56.3%
ASCII 23245
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5434
23.4%
- 2899
12.5%
1 2707
11.6%
2 2098
 
9.0%
3 1825
 
7.9%
4 1426
 
6.1%
5 1333
 
5.7%
6 1258
 
5.4%
7 1154
 
5.0%
0 1024
 
4.4%
Other values (18) 2087
 
9.0%
Hangul
ValueCountFrequency (%)
3375
 
11.3%
1882
 
6.3%
1092
 
3.6%
1006
 
3.4%
778
 
2.6%
777
 
2.6%
743
 
2.5%
731
 
2.4%
724
 
2.4%
716
 
2.4%
Other values (212) 18119
60.5%

단속건수
Real number (ℝ)

Distinct164
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.102915
Minimum1
Maximum2626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.8 KiB
2023-12-13T08:22:23.672220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile29.8
Maximum2626
Range2625
Interquartile range (IQR)1

Descriptive statistics

Standard deviation88.344847
Coefficient of variation (CV)6.7423811
Kurtosis321.68104
Mean13.102915
Median Absolute Deviation (MAD)0
Skewness15.527901
Sum51691
Variance7804.8119
MonotonicityNot monotonic
2023-12-13T08:22:23.804372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2494
63.2%
2 573
 
14.5%
3 224
 
5.7%
4 125
 
3.2%
5 77
 
2.0%
6 45
 
1.1%
7 38
 
1.0%
8 25
 
0.6%
9 17
 
0.4%
10 14
 
0.4%
Other values (154) 313
 
7.9%
ValueCountFrequency (%)
1 2494
63.2%
2 573
 
14.5%
3 224
 
5.7%
4 125
 
3.2%
5 77
 
2.0%
6 45
 
1.1%
7 38
 
1.0%
8 25
 
0.6%
9 17
 
0.4%
10 14
 
0.4%
ValueCountFrequency (%)
2626 1
< 0.1%
1643 1
< 0.1%
1586 1
< 0.1%
1509 1
< 0.1%
1492 1
< 0.1%
1316 1
< 0.1%
1124 1
< 0.1%
882 1
< 0.1%
875 1
< 0.1%
858 1
< 0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.9 KiB
Minimum2023-08-29 00:00:00
Maximum2023-08-29 00:00:00
2023-12-13T08:22:23.908405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:24.002866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:22:22.086450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:21.909829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:22.166487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:22:21.998436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:22:24.071411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단속건수
연번1.0000.173
단속건수0.1731.000
2023-12-13T08:22:24.149111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단속건수
연번1.0000.074
단속건수0.0741.000

Missing values

2023-12-13T08:22:22.279655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:22:22.365952image/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

연번주정차위반 적발 세부 위치단속건수데이터기준일자
01GS25광주안골점 부근8752023-08-29
12가락공판장 오포점 부근542023-08-29
23감초당약국 부근8822023-08-29
34경기약국앞5002023-08-29
45경안동 광창주차장 부근6622023-08-29
56경안동 천주교3052023-08-29
67경안시장 공영주차장3722023-08-29
78경안초등학교앞2692023-08-29
89경화여고 앞1982023-08-29
910곤지암 농협 앞92023-08-29
연번주정차위반 적발 세부 위치단속건수데이터기준일자
39353936퇴촌면 도수길112023-08-29
39363937퇴촌면 도수길23번길42023-08-29
39373938퇴촌면 산수로142023-08-29
39383939퇴촌면 천진암로82023-08-29
39393940퇴촌면 태허정로12023-08-29
39403941한아람초등학교 앞42023-08-29
39413942회덕동 회덕길22023-08-29
39423943힐스테이트2차 부근12023-08-29
39433944힐스테이트5지구사거리12023-08-29
39443945힐스테이트6지구주변232023-08-29