Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Categorical3
DateTime1
Text1

Dataset

Description인천광역시 서구의 불법주정차 단속 현황(단속일자, 단속동, 단속부근, 단속구분 등)입니다. 데이터기준일자로부터 1년간의 단속현황입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15085734&srcSe=7661IVAWM27C61E190

Alerts

자치단체 has constant value ""Constant
Dataset has 2 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2024-01-28 08:03:08.060762
Analysis finished2024-01-28 08:03:09.859295
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치단체
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
28260
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row28260
2nd row28260
3rd row28260
4th row28260
5th row28260

Common Values

ValueCountFrequency (%)
28260 10000
100.0%

Length

2024-01-28T17:03:09.909800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:03:09.983520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28260 10000
100.0%

단속일자
Date

Distinct9983
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-01 01:01:44
Maximum2023-03-03 08:36:41
2024-01-28T17:03:10.065932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:03:10.180841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속동
Categorical

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
청라동
1349 
가좌동
1248 
원당동
1185 
가정동
1051 
석남동
792 
Other values (21)
4375 

Length

Max length5
Median length3
Mean length3.0116
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row마전동
2nd row가정동
3rd row연희동
4th row석남동
5th row원창동

Common Values

ValueCountFrequency (%)
청라동 1349
13.5%
가좌동 1248
12.5%
원당동 1185
11.8%
가정동 1051
10.5%
석남동 792
7.9%
당하동 660
 
6.6%
연희동 483
 
4.8%
심곡동 475
 
4.8%
마전동 458
 
4.6%
신현동 453
 
4.5%
Other values (16) 1846
18.5%

Length

2024-01-28T17:03:10.309889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청라동 1349
13.5%
가좌동 1248
12.5%
원당동 1185
11.8%
가정동 1051
10.5%
석남동 792
7.9%
당하동 660
 
6.6%
연희동 483
 
4.8%
심곡동 475
 
4.8%
마전동 458
 
4.6%
신현동 453
 
4.5%
Other values (16) 1846
18.5%

단속부근
Text

Distinct1753
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T17:03:10.529925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length9.265
Min length3

Characters and Unicode

Total characters92650
Distinct characters395
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique922 ?
Unique (%)9.2%

Sample

1st row마전동 1120
2nd row가정동 617-1
3rd row연희동주민센터
4th row봉수대로 서울해장국민원
5th row원창동 517
ValueCountFrequency (%)
민원 1532
 
8.6%
원당동 717
 
4.0%
가정동 367
 
2.1%
가좌동 350
 
2.0%
당하동 338
 
1.9%
청라동 326
 
1.8%
617-1 247
 
1.4%
석남동 231
 
1.3%
정서진중앙시장사거리 212
 
1.2%
삼거리 205
 
1.1%
Other values (1786) 13349
74.7%
2024-01-28T17:03:10.875731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7893
 
8.5%
1 4346
 
4.7%
동 3847
 
4.2%
원 3546
 
3.8%
로 3471
 
3.7%
길 3149
 
3.4%
민 2517
 
2.7%
2 2433
 
2.6%
6 2427
 
2.6%
- 2311
 
2.5%
Other values (385) 56710
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62155
67.1%
Decimal Number 19514
 
21.1%
Space Separator 7893
 
8.5%
Dash Punctuation 2311
 
2.5%
Uppercase Letter 560
 
0.6%
Lowercase Letter 125
 
0.1%
Close Punctuation 41
 
< 0.1%
Open Punctuation 41
 
< 0.1%
Other Punctuation 9
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3847
 
6.2%
원 3546
 
5.7%
로 3471
 
5.6%
길 3149
 
5.1%
민 2517
 
4.0%
번 2154
 
3.5%
라 1410
 
2.3%
리 1324
 
2.1%
가 1320
 
2.1%
청 1207
 
1.9%
Other values (345) 38210
61.5%
Uppercase Letter
ValueCountFrequency (%)
K 130
23.2%
M 119
21.2%
T 77
13.8%
A 63
11.2%
P 61
10.9%
S 27
 
4.8%
N 25
 
4.5%
G 14
 
2.5%
E 9
 
1.6%
H 7
 
1.2%
Other values (6) 28
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 4346
22.3%
2 2433
12.5%
6 2427
12.4%
3 2043
10.5%
4 1834
9.4%
0 1507
 
7.7%
5 1486
 
7.6%
7 1258
 
6.4%
8 1161
 
5.9%
9 1019
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
k 68
54.4%
s 41
32.8%
g 11
 
8.8%
u 2
 
1.6%
c 2
 
1.6%
m 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
& 7
77.8%
？ 1
 
11.1%
@ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
7893
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62155
67.1%
Common 29810
32.2%
Latin 685
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3847
 
6.2%
원 3546
 
5.7%
로 3471
 
5.6%
길 3149
 
5.1%
민 2517
 
4.0%
번 2154
 
3.5%
라 1410
 
2.3%
리 1324
 
2.1%
가 1320
 
2.1%
청 1207
 
1.9%
Other values (345) 38210
61.5%
Latin
ValueCountFrequency (%)
K 130
19.0%
M 119
17.4%
T 77
11.2%
k 68
9.9%
A 63
9.2%
P 61
8.9%
s 41
 
6.0%
S 27
 
3.9%
N 25
 
3.6%
G 14
 
2.0%
Other values (12) 60
8.8%
Common
ValueCountFrequency (%)
7893
26.5%
1 4346
14.6%
2 2433
 
8.2%
6 2427
 
8.1%
- 2311
 
7.8%
3 2043
 
6.9%
4 1834
 
6.2%
0 1507
 
5.1%
5 1486
 
5.0%
7 1258
 
4.2%
Other values (8) 2272
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62155
67.1%
ASCII 30494
32.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7893
25.9%
1 4346
14.3%
2 2433
 
8.0%
6 2427
 
8.0%
- 2311
 
7.6%
3 2043
 
6.7%
4 1834
 
6.0%
0 1507
 
4.9%
5 1486
 
4.9%
7 1258
 
4.1%
Other values (29) 2956
 
9.7%
Hangul
ValueCountFrequency (%)
동 3847
 
6.2%
원 3546
 
5.7%
로 3471
 
5.6%
길 3149
 
5.1%
민 2517
 
4.0%
번 2154
 
3.5%
라 1410
 
2.3%
리 1324
 
2.1%
가 1320
 
2.1%
청 1207
 
1.9%
Other values (345) 38210
61.5%
None
ValueCountFrequency (%)
？ 1
100.0%

단속구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고정형CCTV
5105 
PDA단속
2886 
안전신문고(24시)
1672 
차량형CCTV
 
328
인력단속
 
9

Length

Max length10
Median length7
Mean length6.9217
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전신문고(24시)
2nd row고정형CCTV
3rd row고정형CCTV
4th rowPDA단속
5th row안전신문고(24시)

Common Values

ValueCountFrequency (%)
고정형CCTV 5105
51.0%
PDA단속 2886
28.9%
안전신문고(24시) 1672
 
16.7%
차량형CCTV 328
 
3.3%
인력단속 9
 
0.1%

Length

2024-01-28T17:03:10.996931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:03:11.090838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정형cctv 5105
51.0%
pda단속 2886
28.9%
안전신문고(24시 1672
 
16.7%
차량형cctv 328
 
3.3%
인력단속 9
 
0.1%

Correlations

2024-01-28T17:03:11.152467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동단속구분
단속동1.0000.518
단속구분0.5181.000
2024-01-28T17:03:11.224675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속구분단속동
단속구분1.0000.278
단속동0.2781.000
2024-01-28T17:03:11.291515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동단속구분
단속동1.0000.278
단속구분0.2781.000

Missing values

2024-01-28T17:03:09.739316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:03:09.820777image/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

자치단체단속일자단속동단속부근단속구분
35197282602022-10-24 / 18:25:12마전동마전동 1120안전신문고(24시)
58196282602022-12-07 / 16:48:15가정동가정동 617-1고정형CCTV
30751282602022-10-14 / 10:50:48연희동연희동주민센터고정형CCTV
12141282602022-08-31 / 10:45:55석남동봉수대로 서울해장국민원PDA단속
65777282602022-12-27 / 10:20:27원창동원창동 517안전신문고(24시)
9470282602022-08-24 / 17:45:35가좌동한신휴아파트고정형CCTV
46557282602022-11-15 / 10:43:37가좌동가정로37번길차량형CCTV
27956282602022-10-07 / 15:11:50당하동당하동 1123안전신문고(24시)
62028282602022-12-16 / 10:25:48석남동건지로95번길 21 반찬단지길PDA단속
48670282602022-11-18 / 14:17:36연희동청라국민은행 삼거리고정형CCTV
자치단체단속일자단속동단속부근단속구분
89682282602023-02-24 / 19:22:37왕길동완정로165번길 지니스토리 민원PDA단속
28353282602022-10-08 / 20:29:13석남동석남동 622안전신문고(24시)
36011282602022-10-26 / 08:36:23오류동오류동 1558안전신문고(24시)
61081282602022-12-14 / 10:42:20가좌동가석로 민원PDA단속
25820282602022-10-04 / 14:18:15경서동청라홈플러스고정형CCTV
56143282602022-12-02 / 16:19:44가좌동엠파크허브고정형CCTV
24306282602022-09-29 / 15:33:52가좌동백범로604번길 민원PDA단속
27143282602022-10-06 / 11:09:58당하동검단4동주민센터고정형CCTV
32205282602022-10-18 / 11:02:23왕길동왕길동 684안전신문고(24시)
20671282602022-09-22 / 09:12:10원창동원창동 394-28안전신문고(24시)

Duplicate rows

Most frequently occurring

자치단체단속일자단속동단속부근단속구분# duplicates
0282602022-09-24 / 15:59:30석남동석남동 537-3안전신문고(24시)2
1282602022-12-08 / 10:43:05가좌동가정로37번길차량형CCTV2