Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
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 1 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2024-01-28 08:03:02.562185
Analysis finished2024-01-28 08:03:04.330087
Duration1.77 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

2024-01-28T17:03:04.382002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:03:04.456976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
28260 10000
100.0%

단속일자
Date

Distinct9980
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-08-01 09:06:52
Maximum2023-03-03 04:49:32
2024-01-28T17:03:04.539519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:03:04.669414image/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
1372 
가좌동
1258 
가정동
1141 
원당동
1138 
석남동
802 
Other values (21)
4289 

Length

Max length5
Median length3
Mean length3.0127
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row심곡동
2nd row심곡동
3rd row석남동
4th row석남동
5th row가좌동

Common Values

ValueCountFrequency (%)
청라동 1372
13.7%
가좌동 1258
12.6%
가정동 1141
11.4%
원당동 1138
11.4%
석남동 802
8.0%
당하동 648
 
6.5%
연희동 508
 
5.1%
경서동 456
 
4.6%
심곡동 454
 
4.5%
마전동 449
 
4.5%
Other values (16) 1774
17.7%

Length

2024-01-28T17:03:04.791237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청라동 1372
13.7%
가좌동 1258
12.6%
가정동 1141
11.4%
원당동 1138
11.4%
석남동 802
8.0%
당하동 648
 
6.5%
연희동 508
 
5.1%
경서동 456
 
4.6%
심곡동 454
 
4.5%
마전동 449
 
4.5%
Other values (16) 1774
17.7%

단속부근
Text

Distinct1735
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-28T17:03:05.043968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length9.2008
Min length3

Characters and Unicode

Total characters92008
Distinct characters401
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

Unique888 ?
Unique (%)8.9%

Sample

1st row심곡동 245-12
2nd row심곡동 산 7-4
3rd row석남동 658-5
4th row석남동 603
5th row강남부동산 앞
ValueCountFrequency (%)
민원 1527
 
8.6%
원당동 709
 
4.0%
가정동 429
 
2.4%
가좌동 347
 
1.9%
청라동 344
 
1.9%
당하동 318
 
1.8%
617-1 282
 
1.6%
석남동 249
 
1.4%
정서진중앙시장사거리 203
 
1.1%
삼거리 195
 
1.1%
Other values (1776) 13199
74.1%
2024-01-28T17:03:05.427377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7816
 
8.5%
1 4267
 
4.6%
동 3869
 
4.2%
원 3517
 
3.8%
로 3507
 
3.8%
길 3173
 
3.4%
민 2508
 
2.7%
6 2443
 
2.7%
2 2370
 
2.6%
- 2265
 
2.5%
Other values (391) 56273
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61739
67.1%
Decimal Number 19405
 
21.1%
Space Separator 7816
 
8.5%
Dash Punctuation 2265
 
2.5%
Uppercase Letter 567
 
0.6%
Lowercase Letter 124
 
0.1%
Close Punctuation 42
 
< 0.1%
Open Punctuation 42
 
< 0.1%
Other Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3869
 
6.3%
원 3517
 
5.7%
로 3507
 
5.7%
길 3173
 
5.1%
민 2508
 
4.1%
번 2150
 
3.5%
라 1441
 
2.3%
가 1420
 
2.3%
청 1278
 
2.1%
리 1218
 
2.0%
Other values (351) 37658
61.0%
Uppercase Letter
ValueCountFrequency (%)
K 139
24.5%
M 129
22.8%
T 76
13.4%
A 64
11.3%
P 62
10.9%
S 32
 
5.6%
N 17
 
3.0%
G 16
 
2.8%
E 5
 
0.9%
H 5
 
0.9%
Other values (6) 22
 
3.9%
Decimal Number
ValueCountFrequency (%)
1 4267
22.0%
6 2443
12.6%
2 2370
12.2%
3 1999
10.3%
4 1807
9.3%
0 1557
 
8.0%
5 1481
 
7.6%
7 1224
 
6.3%
8 1192
 
6.1%
9 1065
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
k 63
50.8%
s 43
34.7%
g 12
 
9.7%
o 2
 
1.6%
e 1
 
0.8%
i 1
 
0.8%
w 1
 
0.8%
m 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
& 7
87.5%
/ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
7816
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2265
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61739
67.1%
Common 29578
32.1%
Latin 691
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3869
 
6.3%
원 3517
 
5.7%
로 3507
 
5.7%
길 3173
 
5.1%
민 2508
 
4.1%
번 2150
 
3.5%
라 1441
 
2.3%
가 1420
 
2.3%
청 1278
 
2.1%
리 1218
 
2.0%
Other values (351) 37658
61.0%
Latin
ValueCountFrequency (%)
K 139
20.1%
M 129
18.7%
T 76
11.0%
A 64
9.3%
k 63
9.1%
P 62
9.0%
s 43
 
6.2%
S 32
 
4.6%
N 17
 
2.5%
G 16
 
2.3%
Other values (14) 50
 
7.2%
Common
ValueCountFrequency (%)
7816
26.4%
1 4267
14.4%
6 2443
 
8.3%
2 2370
 
8.0%
- 2265
 
7.7%
3 1999
 
6.8%
4 1807
 
6.1%
0 1557
 
5.3%
5 1481
 
5.0%
7 1224
 
4.1%
Other values (6) 2349
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61737
67.1%
ASCII 30269
32.9%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7816
25.8%
1 4267
14.1%
6 2443
 
8.1%
2 2370
 
7.8%
- 2265
 
7.5%
3 1999
 
6.6%
4 1807
 
6.0%
0 1557
 
5.1%
5 1481
 
4.9%
7 1224
 
4.0%
Other values (30) 3040
 
10.0%
Hangul
ValueCountFrequency (%)
동 3869
 
6.3%
원 3517
 
5.7%
로 3507
 
5.7%
길 3173
 
5.1%
민 2508
 
4.1%
번 2150
 
3.5%
라 1441
 
2.3%
가 1420
 
2.3%
청 1278
 
2.1%
리 1218
 
2.0%
Other values (349) 37656
61.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
50.0%
ㄹ 1
50.0%

단속구분
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고정형CCTV
5054 
PDA단속
2828 
안전신문고(24시)
1727 
차량형CCTV
 
388
인력단속
 
3

Length

Max length10
Median length7
Mean length6.9516
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고정형CCTV 5054
50.5%
PDA단속 2828
28.3%
안전신문고(24시) 1727
 
17.3%
차량형CCTV 388
 
3.9%
인력단속 3
 
< 0.1%

Length

2024-01-28T17:03:05.548164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T17:03:05.640016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정형cctv 5054
50.5%
pda단속 2828
28.3%
안전신문고(24시 1727
 
17.3%
차량형cctv 388
 
3.9%
인력단속 3
 
< 0.1%

Correlations

2024-01-28T17:03:05.718431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동단속구분
단속동1.0000.445
단속구분0.4451.000
2024-01-28T17:03:05.810701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속구분단속동
단속구분1.0000.231
단속동0.2311.000
2024-01-28T17:03:05.901699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동단속구분
단속동1.0000.231
단속구분0.2311.000

Missing values

2024-01-28T17:03:04.210082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:03:04.291261image/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
27678282602022-10-07 / 10:21:59심곡동심곡동 245-12안전신문고(24시)
82572282602023-02-13 / 14:02:05심곡동심곡동 산 7-4안전신문고(24시)
39886282602022-11-02 / 14:46:12석남동석남동 658-5안전신문고(24시)
41953282602022-11-06 / 21:19:51석남동석남동 603안전신문고(24시)
61036282602022-12-14 / 09:51:26가좌동강남부동산 앞고정형CCTV
26111282602022-10-04 / 15:57:27석남동길주로차량형CCTV
61523282602022-12-14 / 19:12:59가정동봉오재3로 MK타워길민원PDA단속
45070282602022-11-11 / 14:53:07원창동북항로32번길차량형CCTV
13154282602022-09-01 / 15:39:08심곡동심곡동서구청고정형CCTV
23880282602022-09-29 / 08:25:27왕길동봉수대로1440번길 신명아파트앞도로PDA단속
자치단체단속일자단속동단속부근단속구분
56910282602022-12-05 / 15:52:41경서동가이아샹베르 2차아파트고정형CCTV
69282602022-08-01 / 10:10:11경서동가이아샹베르 2차아파트고정형CCTV
63440282602022-12-20 / 10:18:16원당동원당동 824-1고정형CCTV
5574282602022-08-14 / 15:02:40마전동마전동 1051안전신문고(24시)
70805282602023-01-09 / 16:19:08연희동연희동주민센터고정형CCTV
35389282602022-10-25 / 09:55:52경서동청라2동 주민센터고정형CCTV
7478282602022-08-19 / 22:09:49왕길동왕길동 652안전신문고(24시)
16635282602022-09-13 / 19:02:08가정동봉오재3로94번길 MK타워민원PDA단속
44079282602022-11-10 / 10:46:18심곡동승학로236번길 KT옆길민원PDA단속
1858282602022-08-03 / 17:17:29가정동중앙시장역 삼거리고정형CCTV

Duplicate rows

Most frequently occurring

자치단체단속일자단속동단속부근단속구분# duplicates
0282602022-11-11 / 15:00:23왕길동왕길동 669-1안전신문고(24시)2