Overview

Dataset statistics

Number of variables4
Number of observations284
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory33.5 B

Variable types

Categorical1
DateTime2
Text1

Dataset

Description연제구에서 접수및 관리하고 있는 자동차 손해배상법 위반 무보험 운행 현황 관리연도, 접수일자, 위반일자, 위반장소 포함
URLhttps://www.data.go.kr/data/15086041/fileData.do

Reproduction

Analysis started2023-12-12 23:49:30.794416
Analysis finished2023-12-12 23:49:31.072003
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리연도
Categorical

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023
117 
2022
68 
2021
40 
2020
38 
2019
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 117
41.2%
2022 68
23.9%
2021 40
 
14.1%
2020 38
 
13.4%
2019 21
 
7.4%

Length

2023-12-13T08:49:31.121965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:31.203001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 117
41.2%
2022 68
23.9%
2021 40
 
14.1%
2020 38
 
13.4%
2019 21
 
7.4%

접수일자
Date

Distinct133
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2019-02-25 00:00:00
Maximum2023-07-26 00:00:00
2023-12-13T08:49:31.294025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:31.394621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위반일자
Date

Distinct249
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2018-09-05 00:00:00
Maximum2023-07-08 00:00:00
2023-12-13T08:49:31.519587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:31.628417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위반장소
Text

Distinct244
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-13T08:49:31.814704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length35.056338
Min length13

Characters and Unicode

Total characters9956
Distinct characters368
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)76.4%

Sample

1st row사상구 감전동 가야대로 37 감전지구대(주례→낙동대교)
2nd row파주시 파평면 두포리 434-1 두포삼거리(문산->적성)
3rd row홍성군 갈산면 동산리 909 버스승강장(갈산→홍성)
4th row부산 강서구 명지동 638-5 명지국제1로 내 (국회부산도서관→강서경찰서)
5th row동구 좌천동 83 중앙대로 부산항일동미라주@102동앞(부산진역→범곡교차로)
ValueCountFrequency (%)
부산 35
 
2.1%
해운대구 24
 
1.5%
연제구 22
 
1.3%
앞 20
 
1.2%
부산진구 19
 
1.2%
북구 19
 
1.2%
금정구 18
 
1.1%
→ 17
 
1.0%
남구 14
 
0.9%
동래구 14
 
0.9%
Other values (981) 1432
87.6%
2023-12-13T08:49:32.170438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1369
 
13.8%
구 325
 
3.3%
동 306
 
3.1%
로 281
 
2.8%
( 269
 
2.7%
산 251
 
2.5%
) 240
 
2.4%
대 220
 
2.2%
1 189
 
1.9%
→ 189
 
1.9%
Other values (358) 6317
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6646
66.8%
Space Separator 1369
 
13.8%
Decimal Number 882
 
8.9%
Open Punctuation 270
 
2.7%
Close Punctuation 241
 
2.4%
Math Symbol 210
 
2.1%
Other Punctuation 111
 
1.1%
Dash Punctuation 100
 
1.0%
Uppercase Letter 100
 
1.0%
Lowercase Letter 27
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 325
 
4.9%
동 306
 
4.6%
로 281
 
4.2%
산 251
 
3.8%
대 220
 
3.3%
교 185
 
2.8%
리 131
 
2.0%
부 130
 
2.0%
시 97
 
1.5%
차 90
 
1.4%
Other values (314) 4630
69.7%
Uppercase Letter
ValueCountFrequency (%)
R 25
25.0%
C 20
20.0%
I 18
18.0%
K 13
13.0%
M 6
 
6.0%
S 2
 
2.0%
N 2
 
2.0%
B 2
 
2.0%
H 2
 
2.0%
P 2
 
2.0%
Other values (6) 8
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 189
21.4%
2 115
13.0%
4 103
11.7%
3 87
9.9%
0 79
9.0%
5 67
 
7.6%
6 64
 
7.3%
7 61
 
6.9%
8 59
 
6.7%
9 58
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
m 13
48.1%
k 10
37.0%
g 1
 
3.7%
t 1
 
3.7%
c 1
 
3.7%
i 1
 
3.7%
Math Symbol
ValueCountFrequency (%)
→ 189
90.0%
> 14
 
6.7%
↔ 7
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 85
76.6%
. 14
 
12.6%
@ 12
 
10.8%
Open Punctuation
ValueCountFrequency (%)
( 269
99.6%
【 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 240
99.6%
】 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1369
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6646
66.8%
Common 3183
32.0%
Latin 127
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 325
 
4.9%
동 306
 
4.6%
로 281
 
4.2%
산 251
 
3.8%
대 220
 
3.3%
교 185
 
2.8%
리 131
 
2.0%
부 130
 
2.0%
시 97
 
1.5%
차 90
 
1.4%
Other values (314) 4630
69.7%
Common
ValueCountFrequency (%)
1369
43.0%
( 269
 
8.5%
) 240
 
7.5%
1 189
 
5.9%
→ 189
 
5.9%
2 115
 
3.6%
4 103
 
3.2%
- 100
 
3.1%
3 87
 
2.7%
, 85
 
2.7%
Other values (12) 437
 
13.7%
Latin
ValueCountFrequency (%)
R 25
19.7%
C 20
15.7%
I 18
14.2%
m 13
10.2%
K 13
10.2%
k 10
 
7.9%
M 6
 
4.7%
S 2
 
1.6%
N 2
 
1.6%
B 2
 
1.6%
Other values (12) 16
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6646
66.8%
ASCII 3112
31.3%
Arrows 196
 
2.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1369
44.0%
( 269
 
8.6%
) 240
 
7.7%
1 189
 
6.1%
2 115
 
3.7%
4 103
 
3.3%
- 100
 
3.2%
3 87
 
2.8%
, 85
 
2.7%
0 79
 
2.5%
Other values (30) 476
 
15.3%
Hangul
ValueCountFrequency (%)
구 325
 
4.9%
동 306
 
4.6%
로 281
 
4.2%
산 251
 
3.8%
대 220
 
3.3%
교 185
 
2.8%
리 131
 
2.0%
부 130
 
2.0%
시 97
 
1.5%
차 90
 
1.4%
Other values (314) 4630
69.7%
Arrows
ValueCountFrequency (%)
→ 189
96.4%
↔ 7
 
3.6%
None
ValueCountFrequency (%)
】 1
50.0%
【 1
50.0%

Missing values

2023-12-13T08:49:30.984641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:49:31.046593image/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

관리연도접수일자위반일자위반장소
020232023-02-232023-01-20사상구 감전동 가야대로 37 감전지구대(주례→낙동대교)
120232023-06-192022-10-02파주시 파평면 두포리 434-1 두포삼거리(문산->적성)
220232023-04-262023-03-12홍성군 갈산면 동산리 909 버스승강장(갈산→홍성)
320232023-06-282023-05-15부산 강서구 명지동 638-5 명지국제1로 내 (국회부산도서관→강서경찰서)
420232023-06-282023-05-17동구 좌천동 83 중앙대로 부산항일동미라주@102동앞(부산진역→범곡교차로)
520232023-04-262023-03-13연제구 연산동 쌍미천로 147 티스테이션앞R(어린이보호구역,연동초교,연산자이@→연제
620232023-07-262023-06-21금정구 서동 금사로 57 금사약국(어린이보호구역,금사초교,금사행정복지센터→금사교
720232023-03-312022-09-01전북 군산시 나포면 십자들로(옥곤리497-1) 나포초등학교 앞(웅포→군산IC)
820232023-02-232023-01-16창원시 의창구 북면 마산리 월계교차로(대산면→북면)
920232023-05-262023-05-03기장군 장안읍 기룡리 391-4 장안로 장안초등학교 맞은편(어린이보호구역,용소삼거리
관리연도접수일자위반일자위반장소
27420192019-12-262019-11-22창원시 마산합포구 진전면 진목삼거리
27520192019-07-262019-05-11강서구 강동동 낙동북로 71 대사1구교차로(대사초교)(평강역 → 김해)
27620192019-03-272019-03-08울주군 상북면 산전리 도동교차로 (밀양→울산)
27720192019-04-122019-01-02북구 덕천동 457-19 남해고속 연결도로 덕천IC 500M 후방
27820192019-10-252019-09-19부산진구 당감동 183 백양대로 당감입구R
27920192019-09-252019-08-10성남시 수정구 복정동 624-1 가천대학교 앞 삼거리(모란역->복정역)
28020192019-07-262019-03-30부산 금정구 노포동 체육공원로399번길(신천교 앞 삼거리↔스포원)
28120192019-10-252019-09-10경부선 247.8Km 부산방향 1차로 시점(충북 옥천 동이)
28220192019-02-252018-11-28사상구 괘법동 534-1 사상로 사상역 5번 출구 앞
28320192019-05-272019-05-06울산 울주군 언양읍 반구대로 반곡초등학교(언양)