Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows203
Duplicate rows (%)2.0%
Total size in memory468.8 KiB
Average record size in memory48.0 B

Variable types

DateTime2
Categorical2
Text1

Dataset

Description경상남도 창원시 불법주정차 단속 정보입니다. 2023년 6월 1일 부터 2023년 12월 31일 까지 자료이며 항목은 단속일자, 단속시간, 구청구분, 단속장소명, 단속구분(단속장비)입니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15100139/fileData.do

Alerts

Dataset has 203 (2.0%) duplicate rowsDuplicates
구청 구분 is highly overall correlated with 단속구분(단속장비)High correlation
단속구분(단속장비) is highly overall correlated with 구청 구분High correlation

Reproduction

Analysis started2024-03-15 00:20:19.610118
Analysis finished2024-03-15 00:20:23.076607
Duration3.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단속일자
Date

Distinct214
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-06-01 00:00:00
Maximum2023-12-31 00:00:00
2024-03-15T09:20:23.327978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:20:23.815344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속시간
Date

Distinct1145
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-03-15 00:00:00
Maximum2024-03-15 23:59:00
2024-03-15T09:20:24.260149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:20:24.704203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구청 구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
성산구 경제교통과
4732 
마산회원구
2695 
진해구청
2573 

Length

Max length9
Median length5
Mean length6.6355
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성산구 경제교통과
2nd row진해구청
3rd row성산구 경제교통과
4th row마산회원구
5th row성산구 경제교통과

Common Values

ValueCountFrequency (%)
성산구 경제교통과 4732
47.3%
마산회원구 2695
27.0%
진해구청 2573
25.7%

Length

2024-03-15T09:20:25.053770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T09:20:25.237889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성산구 4732
32.1%
경제교통과 4732
32.1%
마산회원구 2695
18.3%
진해구청 2573
17.5%

단속장소명
Text

Distinct2492
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T09:20:26.064323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length11.4522
Min length3

Characters and Unicode

Total characters114522
Distinct characters565
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1791 ?
Unique (%)17.9%

Sample

1st row상남동상남분수공원부근
2nd row풍호동 푸르지오2차 주변
3rd row상남동 플러스타운빌딩 주변
4th row내서읍삼계10길부근
5th row신월동 중앙대로 주변
ValueCountFrequency (%)
주변 1864
 
8.6%
부근 1421
 
6.6%
용원동 746
 
3.5%
상남동 586
 
2.7%
횡단보도 548
 
2.5%
상남동세중빌딩삼거리 301
 
1.4%
상남동나폴리빌딩 281
 
1.3%
중앙동 255
 
1.2%
대방동 252
 
1.2%
인도 230
 
1.1%
Other values (2500) 15097
70.0%
2024-03-15T09:20:27.418638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11620
 
10.1%
동 8179
 
7.1%
주 3708
 
3.2%
부 3277
 
2.9%
근 2981
 
2.6%
남 2919
 
2.5%
원 2876
 
2.5%
변 2853
 
2.5%
상 2625
 
2.3%
로 2456
 
2.1%
Other values (555) 71028
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92445
80.7%
Space Separator 11620
 
10.1%
Decimal Number 7940
 
6.9%
Dash Punctuation 927
 
0.8%
Open Punctuation 548
 
0.5%
Close Punctuation 536
 
0.5%
Uppercase Letter 347
 
0.3%
Other Punctuation 94
 
0.1%
Lowercase Letter 65
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8179
 
8.8%
주 3708
 
4.0%
부 3277
 
3.5%
근 2981
 
3.2%
남 2919
 
3.2%
원 2876
 
3.1%
변 2853
 
3.1%
상 2625
 
2.8%
로 2456
 
2.7%
용 1570
 
1.7%
Other values (504) 59001
63.8%
Uppercase Letter
ValueCountFrequency (%)
S 73
21.0%
C 70
20.2%
G 51
14.7%
I 31
8.9%
A 23
 
6.6%
K 19
 
5.5%
V 19
 
5.5%
U 14
 
4.0%
Y 9
 
2.6%
T 7
 
2.0%
Other values (11) 31
8.9%
Lowercase Letter
ValueCountFrequency (%)
e 49
75.4%
c 4
 
6.2%
s 2
 
3.1%
u 2
 
3.1%
k 1
 
1.5%
d 1
 
1.5%
l 1
 
1.5%
r 1
 
1.5%
o 1
 
1.5%
i 1
 
1.5%
Other values (2) 2
 
3.1%
Decimal Number
ValueCountFrequency (%)
1 1887
23.8%
3 1119
14.1%
5 1109
14.0%
2 898
11.3%
4 704
 
8.9%
0 656
 
8.3%
6 515
 
6.5%
7 422
 
5.3%
8 337
 
4.2%
9 293
 
3.7%
Other Punctuation
ValueCountFrequency (%)
· 49
52.1%
, 37
39.4%
. 6
 
6.4%
& 2
 
2.1%
Space Separator
ValueCountFrequency (%)
11620
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 927
100.0%
Open Punctuation
ValueCountFrequency (%)
( 548
100.0%
Close Punctuation
ValueCountFrequency (%)
) 536
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92445
80.7%
Common 21665
 
18.9%
Latin 412
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8179
 
8.8%
주 3708
 
4.0%
부 3277
 
3.5%
근 2981
 
3.2%
남 2919
 
3.2%
원 2876
 
3.1%
변 2853
 
3.1%
상 2625
 
2.8%
로 2456
 
2.7%
용 1570
 
1.7%
Other values (504) 59001
63.8%
Latin
ValueCountFrequency (%)
S 73
17.7%
C 70
17.0%
G 51
12.4%
e 49
11.9%
I 31
7.5%
A 23
 
5.6%
K 19
 
4.6%
V 19
 
4.6%
U 14
 
3.4%
Y 9
 
2.2%
Other values (23) 54
13.1%
Common
ValueCountFrequency (%)
11620
53.6%
1 1887
 
8.7%
3 1119
 
5.2%
5 1109
 
5.1%
- 927
 
4.3%
2 898
 
4.1%
4 704
 
3.2%
0 656
 
3.0%
( 548
 
2.5%
) 536
 
2.5%
Other values (8) 1661
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92445
80.7%
ASCII 22028
 
19.2%
None 49
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11620
52.8%
1 1887
 
8.6%
3 1119
 
5.1%
5 1109
 
5.0%
- 927
 
4.2%
2 898
 
4.1%
4 704
 
3.2%
0 656
 
3.0%
( 548
 
2.5%
) 536
 
2.4%
Other values (40) 2024
 
9.2%
Hangul
ValueCountFrequency (%)
동 8179
 
8.8%
주 3708
 
4.0%
부 3277
 
3.5%
근 2981
 
3.2%
남 2919
 
3.2%
원 2876
 
3.1%
변 2853
 
3.1%
상 2625
 
2.8%
로 2456
 
2.7%
용 1570
 
1.7%
Other values (504) 59001
63.8%
None
ValueCountFrequency (%)
· 49
100.0%

단속구분(단속장비)
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
CCTV
3986 
민원신고
1577 
고정형cct이동형cctv
1061 
이동형cctv
902 
1팀
883 
Other values (9)
1591 

Length

Max length13
Median length4
Mean length5.0942
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCCTV
2nd row고정형cct이동형cctv
3rd row1팀
4th rowCCTV
5th row1팀

Common Values

ValueCountFrequency (%)
CCTV 3986
39.9%
민원신고 1577
 
15.8%
고정형cct이동형cctv 1061
 
10.6%
이동형cctv 902
 
9.0%
1팀 883
 
8.8%
주민신고 772
 
7.7%
야간이동형 333
 
3.3%
현장단속 253
 
2.5%
아침이동형 165
 
1.7%
기동반 31
 
0.3%
Other values (4) 37
 
0.4%

Length

2024-03-15T09:20:27.724515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cctv 3986
39.9%
민원신고 1577
 
15.8%
고정형cct이동형cctv 1061
 
10.6%
이동형cctv 902
 
9.0%
1팀 883
 
8.8%
주민신고 772
 
7.7%
야간이동형 333
 
3.3%
현장단속 253
 
2.5%
아침이동형 165
 
1.7%
기동반 31
 
0.3%
Other values (4) 37
 
0.4%

Correlations

2024-03-15T09:20:28.022452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구청 구분단속구분(단속장비)
구청 구분1.0000.890
단속구분(단속장비)0.8901.000
2024-03-15T09:20:28.254801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속구분(단속장비)구청 구분
단속구분(단속장비)1.0000.789
구청 구분0.7891.000
2024-03-15T09:20:28.484254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구청 구분단속구분(단속장비)
구청 구분1.0000.789
단속구분(단속장비)0.7891.000

Missing values

2024-03-15T09:20:22.507750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:20:22.917529image/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

단속일자단속시간구청 구분단속장소명단속구분(단속장비)
480942023-09-039:09성산구 경제교통과상남동상남분수공원부근CCTV
819902023-07-2116:10진해구청풍호동 푸르지오2차 주변고정형cct이동형cctv
274552023-06-0116:14성산구 경제교통과상남동 플러스타운빌딩 주변1팀
111162023-08-3114:48마산회원구내서읍삼계10길부근CCTV
315962023-06-1910:57성산구 경제교통과신월동 중앙대로 주변1팀
107462023-08-2810:02마산회원구시외버스터미널건너편주CCTV
713712023-12-1820:35성산구 경제교통과단정로 부근야간이동형
269422023-12-2908:16마산회원구양덕동 양덕초교주변주민신고
234922023-12-0414:59마산회원구합성동금강로부근CCTV
448222023-08-1817:24성산구 경제교통과대정로35번길 부근야간이동형
단속일자단속시간구청 구분단속장소명단속구분(단속장비)
409732023-07-317:37성산구 경제교통과중앙동 501-47 에쿠스모텔 교차로모퉁이민원신고
512012023-09-1519:13성산구 경제교통과상남동모란여성병원CCTV
883912023-09-0415:43진해구청두동 삼정글로텍 주변 횡단보도민원신고
937962023-10-1308:25진해구청경화동 G마트 주변현장단속
7872023-06-0715:21마산회원구ISC프라자복합빌딩주CCTV
523782023-09-2018:14성산구 경제교통과웅남동 513 신성델타테크 횡단보도민원신고
815432023-07-1920:54진해구청용원동 오렌지타운 주변 횡단보도민원신고
600542023-10-297:25성산구 경제교통과대방동 398(이브자리) 인도민원신고
286882023-06-0710:38성산구 경제교통과신월동 중앙대로 주변1팀
121942023-09-0822:32마산회원구내서읍 호계파리바게트주변주민신고

Duplicate rows

Most frequently occurring

단속일자단속시간구청 구분단속장소명단속구분(단속장비)# duplicates
1322023-10-1220:16진해구청용원동 1350 부근이동형cctv5
1882023-12-0820:26성산구 경제교통과상남동 16 부근야간이동형4
182023-06-3015:16마산회원구양덕동산호천서길부근CCTV3
272023-07-0710:30진해구청용원동 용원로 부근이동형cctv3
372023-07-1320:06진해구청두동 1874 부근이동형cctv3
412023-07-1419:57성산구 경제교통과상남동 16 부근야간이동형3
432023-07-1514:59진해구청남문동 웅천동로43번길이동형cctv3
652023-08-0320:09성산구 경제교통과상남동 16 부근야간이동형3
712023-08-1115:28진해구청용원동 용원로 부근이동형cctv3
872023-08-2910:08성산구 경제교통과창원대로 부근아침이동형3