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

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

Reproduction

Analysis started2024-04-17 18:07:48.864121
Analysis finished2024-04-17 18:07:50.582160
Duration1.72 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

2024-04-18T03:07:50.629484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:07:50.695970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28260 10000
100.0%

단속일자
Date

Distinct9994
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-01 06:47:02
Maximum2023-03-16 16:19:32
2024-04-18T03:07:50.769718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:07:50.877518image/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
1426 
가좌동
1241 
가정동
1155 
원당동
1127 
석남동
790 
Other values (21)
4261 

Length

Max length5
Median length3
Mean length3.0117
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row원당동
2nd row신현동
3rd row당하동
4th row심곡동
5th row신현동

Common Values

ValueCountFrequency (%)
청라동 1426
14.3%
가좌동 1241
12.4%
가정동 1155
11.6%
원당동 1127
11.3%
석남동 790
7.9%
당하동 608
 
6.1%
마전동 468
 
4.7%
경서동 465
 
4.7%
연희동 464
 
4.6%
신현동 463
 
4.6%
Other values (16) 1793
17.9%

Length

2024-04-18T03:07:50.983625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청라동 1426
14.3%
가좌동 1241
12.4%
가정동 1155
11.6%
원당동 1127
11.3%
석남동 790
7.9%
당하동 608
 
6.1%
마전동 468
 
4.7%
경서동 465
 
4.7%
연희동 464
 
4.6%
신현동 463
 
4.6%
Other values (16) 1793
17.9%

단속부근
Text

Distinct1799
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T03:07:51.190154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length9.2239
Min length3

Characters and Unicode

Total characters92239
Distinct characters394
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

Unique965 ?
Unique (%)9.7%

Sample

1st row고산후로95번안길 민원
2nd row신현쇼핑센터
3rd row당하동 1029-6
4th row심곡동 247-3
5th row신현동 272-1
ValueCountFrequency (%)
민원 1637
 
9.1%
원당동 700
 
3.9%
가정동 437
 
2.4%
청라동 373
 
2.1%
가좌동 329
 
1.8%
617-1 291
 
1.6%
당하동 283
 
1.6%
석남동 247
 
1.4%
정서진중앙시장사거리 210
 
1.2%
삼거리 184
 
1.0%
Other values (1838) 13237
73.8%
2024-04-18T03:07:51.524446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7948
 
8.6%
1 4404
 
4.8%
동 3890
 
4.2%
원 3578
 
3.9%
로 3529
 
3.8%
길 3189
 
3.5%
민 2551
 
2.8%
6 2387
 
2.6%
2 2328
 
2.5%
- 2256
 
2.4%
Other values (384) 56179
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61772
67.0%
Decimal Number 19557
 
21.2%
Space Separator 7948
 
8.6%
Dash Punctuation 2256
 
2.4%
Uppercase Letter 483
 
0.5%
Lowercase Letter 119
 
0.1%
Close Punctuation 45
 
< 0.1%
Open Punctuation 45
 
< 0.1%
Other Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3890
 
6.3%
원 3578
 
5.8%
로 3529
 
5.7%
길 3189
 
5.2%
민 2551
 
4.1%
번 2174
 
3.5%
가 1429
 
2.3%
라 1364
 
2.2%
청 1273
 
2.1%
리 1219
 
2.0%
Other values (344) 37576
60.8%
Uppercase Letter
ValueCountFrequency (%)
M 132
27.3%
K 131
27.1%
T 53
11.0%
A 46
 
9.5%
P 44
 
9.1%
S 20
 
4.1%
N 19
 
3.9%
H 10
 
2.1%
L 10
 
2.1%
G 7
 
1.4%
Other values (4) 11
 
2.3%
Decimal Number
ValueCountFrequency (%)
1 4404
22.5%
6 2387
12.2%
2 2328
11.9%
3 2008
10.3%
4 1821
9.3%
0 1583
 
8.1%
5 1522
 
7.8%
8 1241
 
6.3%
7 1219
 
6.2%
9 1044
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
k 68
57.1%
s 38
31.9%
g 8
 
6.7%
l 2
 
1.7%
h 2
 
1.7%
e 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
& 8
57.1%
/ 2
 
14.3%
, 1
 
7.1%
@ 1
 
7.1%
. 1
 
7.1%
？ 1
 
7.1%
Space Separator
ValueCountFrequency (%)
7948
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2256
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61772
67.0%
Common 29865
32.4%
Latin 602
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3890
 
6.3%
원 3578
 
5.8%
로 3529
 
5.7%
길 3189
 
5.2%
민 2551
 
4.1%
번 2174
 
3.5%
가 1429
 
2.3%
라 1364
 
2.2%
청 1273
 
2.1%
리 1219
 
2.0%
Other values (344) 37576
60.8%
Common
ValueCountFrequency (%)
7948
26.6%
1 4404
14.7%
6 2387
 
8.0%
2 2328
 
7.8%
- 2256
 
7.6%
3 2008
 
6.7%
4 1821
 
6.1%
0 1583
 
5.3%
5 1522
 
5.1%
8 1241
 
4.2%
Other values (10) 2367
 
7.9%
Latin
ValueCountFrequency (%)
M 132
21.9%
K 131
21.8%
k 68
11.3%
T 53
8.8%
A 46
 
7.6%
P 44
 
7.3%
s 38
 
6.3%
S 20
 
3.3%
N 19
 
3.2%
H 10
 
1.7%
Other values (10) 41
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61772
67.0%
ASCII 30466
33.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7948
26.1%
1 4404
14.5%
6 2387
 
7.8%
2 2328
 
7.6%
- 2256
 
7.4%
3 2008
 
6.6%
4 1821
 
6.0%
0 1583
 
5.2%
5 1522
 
5.0%
8 1241
 
4.1%
Other values (29) 2968
 
9.7%
Hangul
ValueCountFrequency (%)
동 3890
 
6.3%
원 3578
 
5.8%
로 3529
 
5.7%
길 3189
 
5.2%
민 2551
 
4.1%
번 2174
 
3.5%
가 1429
 
2.3%
라 1364
 
2.2%
청 1273
 
2.1%
리 1219
 
2.0%
Other values (344) 37576
60.8%
None
ValueCountFrequency (%)
？ 1
100.0%

단속구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고정형CCTV
4971 
PDA단속
2931 
안전신문고(24시)
1781 
차량형CCTV
 
310
인력단속
 
7

Length

Max length10
Median length7
Mean length6.946
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고정형CCTV 4971
49.7%
PDA단속 2931
29.3%
안전신문고(24시) 1781
 
17.8%
차량형CCTV 310
 
3.1%
인력단속 7
 
0.1%

Length

2024-04-18T03:07:51.631979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:07:51.711478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정형cctv 4971
49.7%
pda단속 2931
29.3%
안전신문고(24시 1781
 
17.8%
차량형cctv 310
 
3.1%
인력단속 7
 
0.1%

Correlations

2024-04-18T03:07:51.767347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동단속구분
단속동1.0000.440
단속구분0.4401.000
2024-04-18T03:07:51.830468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동단속구분
단속동1.0000.228
단속구분0.2281.000
2024-04-18T03:07:51.890088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동단속구분
단속동1.0000.228
단속구분0.2281.000

Missing values

2024-04-18T03:07:50.473532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T03:07:50.546922image/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
19989282602022-09-21 / 10:19:49원당동고산후로95번안길 민원PDA단속
83154282602023-02-14 / 10:54:07신현동신현쇼핑센터고정형CCTV
72196282602023-01-12 / 09:16:14당하동당하동 1029-6고정형CCTV
17967282602022-09-16 / 14:22:52심곡동심곡동 247-3안전신문고(24시)
70145282602023-01-06 / 17:20:55신현동신현동 272-1고정형CCTV
4511282602022-08-10 / 17:08:34심곡동심곡동서구청고정형CCTV
26783282602022-10-05 / 15:42:06가좌동엠파크허브고정형CCTV
79359282602023-02-02 / 16:02:31연희동국제성모 앞고정형CCTV
6753282602022-08-18 / 14:47:32가정동서곶로96번길 LH루원사업단민원PDA단속
58888282602022-12-08 / 16:49:25마전동완정사거리고정형CCTV
자치단체단속일자단속동단속부근단속구분
73423282602023-01-16 / 14:47:46가정동봉오재3로94번길차량형CCTV
61157282602022-12-14 / 11:37:09원당동원당동 469-3고정형CCTV
89677282602023-02-24 / 19:16:49가정동가정동 647-1안전신문고(24시)
62816282602022-12-18 / 16:29:07당하동청마로112번길 메가박스민원PDA단속
57338282602022-12-06 / 14:15:31가정동시티프라디움고정형CCTV
16595282602022-09-13 / 17:39:24불로동불로동 830고정형CCTV
5840282602022-08-16 / 13:48:01마전동마전동 1075안전신문고(24시)
16271282602022-09-13 / 11:51:00연희동우성메디피아고정형CCTV
8987282602022-08-24 / 09:55:00연희동서곶로 315번길 25인력단속
71423282602023-01-10 / 16:10:35석남동석남동 532-11고정형CCTV