Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Numeric1
DateTime2
Text1
Categorical1

Dataset

Description부산광역시 부산진구 불법주정차 단속 현황에 대한 데이터로 연번, 단속일자, 주정차 단속장소 등의 항목을 제공합니다.
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15125267/fileData.do

Alerts

기준일 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:06:00.341508
Analysis finished2024-04-06 08:06:02.988035
Duration2.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50024.118
Minimum10
Maximum100000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-06T17:06:03.124910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile4892.35
Q125293.75
median49723.5
Q375236.25
95-th percentile95213.45
Maximum100000
Range99990
Interquartile range (IQR)49942.5

Descriptive statistics

Standard deviation28849.992
Coefficient of variation (CV)0.57672167
Kurtosis-1.1899888
Mean50024.118
Median Absolute Deviation (MAD)24886.5
Skewness0.00053060597
Sum5.0024118 × 108
Variance8.3232206 × 108
MonotonicityNot monotonic
2024-04-06T17:06:03.400895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12403 1
 
< 0.1%
94893 1
 
< 0.1%
37570 1
 
< 0.1%
77631 1
 
< 0.1%
3857 1
 
< 0.1%
47820 1
 
< 0.1%
24460 1
 
< 0.1%
32525 1
 
< 0.1%
70040 1
 
< 0.1%
72735 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
10 1
< 0.1%
19 1
< 0.1%
21 1
< 0.1%
28 1
< 0.1%
29 1
< 0.1%
33 1
< 0.1%
36 1
< 0.1%
45 1
< 0.1%
46 1
< 0.1%
62 1
< 0.1%
ValueCountFrequency (%)
100000 1
< 0.1%
99982 1
< 0.1%
99971 1
< 0.1%
99943 1
< 0.1%
99929 1
< 0.1%
99921 1
< 0.1%
99909 1
< 0.1%
99903 1
< 0.1%
99886 1
< 0.1%
99872 1
< 0.1%

단속일자
Date

Distinct229
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 00:00:00
Maximum2023-08-17 00:00:00
2024-04-06T17:06:03.669632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:06:03.955997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속시간
Date

Distinct1192
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-04-06 00:01:00
Maximum2024-04-06 23:59:00
2024-04-06T17:06:04.322269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:06:04.566360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속장소
Text

Distinct1189
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-06T17:06:04.921247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length10.3533
Min length3

Characters and Unicode

Total characters103533
Distinct characters243
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique589 ?
Unique (%)5.9%

Sample

1st row전포동 서전로58번길
2nd row범천동 삼성생명앞
3rd row전포동 동성로76번길
4th row부전동 521-1 부근
5th row부전동 영광도서주차장
ValueCountFrequency (%)
부근 2042
 
9.5%
부전동 1879
 
8.8%
주변 1499
 
7.0%
전포동 1406
 
6.6%
범천동 701
 
3.3%
당감동 599
 
2.8%
양정동 455
 
2.1%
개금동 448
 
2.1%
가야동 429
 
2.0%
초읍동 324
 
1.5%
Other values (1159) 11622
54.3%
2024-04-06T17:06:05.532394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11404
 
11.0%
동 7796
 
7.5%
부 5158
 
5.0%
전 4662
 
4.5%
로 3486
 
3.4%
1 2506
 
2.4%
번 2500
 
2.4%
길 2453
 
2.4%
주 2289
 
2.2%
포 2154
 
2.1%
Other values (233) 59125
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76050
73.5%
Decimal Number 13877
 
13.4%
Space Separator 11404
 
11.0%
Dash Punctuation 1521
 
1.5%
Uppercase Letter 378
 
0.4%
Lowercase Letter 159
 
0.2%
Close Punctuation 72
 
0.1%
Open Punctuation 72
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7796
 
10.3%
부 5158
 
6.8%
전 4662
 
6.1%
로 3486
 
4.6%
번 2500
 
3.3%
길 2453
 
3.2%
주 2289
 
3.0%
포 2154
 
2.8%
근 2135
 
2.8%
변 2086
 
2.7%
Other values (209) 41331
54.3%
Decimal Number
ValueCountFrequency (%)
1 2506
18.1%
8 1527
11.0%
5 1495
10.8%
2 1415
10.2%
3 1388
10.0%
6 1378
9.9%
7 1236
8.9%
4 1120
8.1%
9 1012
7.3%
0 800
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
C 140
37.0%
U 81
21.4%
B 46
 
12.2%
S 28
 
7.4%
T 18
 
4.8%
R 18
 
4.8%
G 16
 
4.2%
V 16
 
4.2%
N 15
 
4.0%
Space Separator
ValueCountFrequency (%)
11404
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1521
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 159
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76050
73.5%
Common 26946
 
26.0%
Latin 537
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7796
 
10.3%
부 5158
 
6.8%
전 4662
 
6.1%
로 3486
 
4.6%
번 2500
 
3.3%
길 2453
 
3.2%
주 2289
 
3.0%
포 2154
 
2.8%
근 2135
 
2.8%
변 2086
 
2.7%
Other values (209) 41331
54.3%
Common
ValueCountFrequency (%)
11404
42.3%
1 2506
 
9.3%
8 1527
 
5.7%
- 1521
 
5.6%
5 1495
 
5.5%
2 1415
 
5.3%
3 1388
 
5.2%
6 1378
 
5.1%
7 1236
 
4.6%
4 1120
 
4.2%
Other values (4) 1956
 
7.3%
Latin
ValueCountFrequency (%)
e 159
29.6%
C 140
26.1%
U 81
15.1%
B 46
 
8.6%
S 28
 
5.2%
T 18
 
3.4%
R 18
 
3.4%
G 16
 
3.0%
V 16
 
3.0%
N 15
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76050
73.5%
ASCII 27483
 
26.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11404
41.5%
1 2506
 
9.1%
8 1527
 
5.6%
- 1521
 
5.5%
5 1495
 
5.4%
2 1415
 
5.1%
3 1388
 
5.1%
6 1378
 
5.0%
7 1236
 
4.5%
4 1120
 
4.1%
Other values (14) 2493
 
9.1%
Hangul
ValueCountFrequency (%)
동 7796
 
10.3%
부 5158
 
6.8%
전 4662
 
6.1%
로 3486
 
4.6%
번 2500
 
3.3%
길 2453
 
3.2%
주 2289
 
3.0%
포 2154
 
2.8%
근 2135
 
2.8%
변 2086
 
2.7%
Other values (209) 41331
54.3%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-25
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-25
2nd row2024-03-25
3rd row2024-03-25
4th row2024-03-25
5th row2024-03-25

Common Values

ValueCountFrequency (%)
2024-03-25 10000
100.0%

Length

2024-04-06T17:06:05.789421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:06:05.967503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-25 10000
100.0%

Interactions

2024-04-06T17:06:02.337965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-06T17:06:02.660527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:06:02.909284image/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

연번단속일자단속시간단속장소기준일
12402124032023-01-3120:10:00전포동 서전로58번길2024-03-25
81794817952023-07-0914:50:00범천동 삼성생명앞2024-03-25
62430624312023-05-2411:05:00전포동 동성로76번길2024-03-25
54543545442023-05-0515:45:00부전동 521-1 부근2024-03-25
11705117062023-01-2922:18:00부전동 영광도서주차장2024-03-25
64163641642023-05-2814:42:00전포동 전포초등학교정문2024-03-25
92627926282023-08-0218:10:00풍림아이원아파트 부근2024-03-25
88167881682023-07-2414:19:00전포동 동천로108번길2024-03-25
40072400732023-04-0114:40:00동성초등학교2024-03-25
28389283902023-03-0614:12:00범천동 골드테마길2024-03-25
연번단속일자단속시간단속장소기준일
72705727062023-06-1714:46:00전포동 동성로76번길2024-03-25
40696406972023-04-0215:53:00풍림아이원아파트 주변2024-03-25
10712107132023-01-2722:18:00유엘부산호텔 주변2024-03-25
42074420752023-04-0519:55:00부전동 575 부근2024-03-25
67121671222023-06-0417:46:00거제대로 대원칸타빌주변2024-03-25
14830148312023-02-0514:18:00전포롯데캐슬아파트부근2024-03-25
45813458142023-04-1410:54:00양정동 양지로5번길2024-03-25
83275832762023-07-1221:08:00초읍동 298 부근2024-03-25
98967989682023-08-1509:56:00부전동 부산진경찰서2024-03-25
99375993762023-08-1615:18:00가야1동 치안센터 주변2024-03-25