Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows109
Duplicate rows (%)1.1%
Total size in memory390.6 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text2
DateTime1

Dataset

Description2023년 현재 부천시는 구청이 없고 광역동 체제입니다.2023.1.~11. 부천시 불법주정차 단속 장소 및 단속 건수를 포함하고 있습니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/15125321/fileData.do

Alerts

시군구명 has constant value ""Constant
Dataset has 109 (1.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 01:49:07.004212
Analysis finished2023-12-12 01:49:07.602370
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부천시 10000
100.0%

Length

2023-12-12T10:49:07.671594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:49:07.768862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부천시 10000
100.0%

단속동
Text

Distinct260
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:49:08.070966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.3874
Min length2

Characters and Unicode

Total characters43874
Distinct characters77
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)0.6%

Sample

1st row심곡동
2nd row부광로7번길
3rd row상동
4th row소사로202번길
5th row부일로
ValueCountFrequency (%)
상동 1485
 
14.8%
심곡동 866
 
8.7%
길주로121번길 546
 
5.5%
소사본동 458
 
4.6%
송내동 415
 
4.2%
부일로 391
 
3.9%
경인로 342
 
3.4%
석천로177번길 336
 
3.4%
괴안동 322
 
3.2%
고강동 305
 
3.0%
Other values (250) 4534
45.3%
2023-12-12T10:49:08.472005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 5279
 
12.0%
동 5087
 
11.6%
길 3704
 
8.4%
번 2961
 
6.7%
1 2832
 
6.5%
상 2058
 
4.7%
2 1436
 
3.3%
7 1361
 
3.1%
소 1207
 
2.8%
곡 1202
 
2.7%
Other values (67) 16747
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35554
81.0%
Decimal Number 8320
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 5279
14.8%
동 5087
14.3%
길 3704
 
10.4%
번 2961
 
8.3%
상 2058
 
5.8%
소 1207
 
3.4%
곡 1202
 
3.4%
심 1183
 
3.3%
부 1097
 
3.1%
일 893
 
2.5%
Other values (57) 10883
30.6%
Decimal Number
ValueCountFrequency (%)
1 2832
34.0%
2 1436
17.3%
7 1361
16.4%
3 604
 
7.3%
5 593
 
7.1%
9 476
 
5.7%
4 353
 
4.2%
6 300
 
3.6%
0 208
 
2.5%
8 157
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35554
81.0%
Common 8320
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 5279
14.8%
동 5087
14.3%
길 3704
 
10.4%
번 2961
 
8.3%
상 2058
 
5.8%
소 1207
 
3.4%
곡 1202
 
3.4%
심 1183
 
3.3%
부 1097
 
3.1%
일 893
 
2.5%
Other values (57) 10883
30.6%
Common
ValueCountFrequency (%)
1 2832
34.0%
2 1436
17.3%
7 1361
16.4%
3 604
 
7.3%
5 593
 
7.1%
9 476
 
5.7%
4 353
 
4.2%
6 300
 
3.6%
0 208
 
2.5%
8 157
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35554
81.0%
ASCII 8320
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 5279
14.8%
동 5087
14.3%
길 3704
 
10.4%
번 2961
 
8.3%
상 2058
 
5.8%
소 1207
 
3.4%
곡 1202
 
3.4%
심 1183
 
3.3%
부 1097
 
3.1%
일 893
 
2.5%
Other values (57) 10883
30.6%
ASCII
ValueCountFrequency (%)
1 2832
34.0%
2 1436
17.3%
7 1361
16.4%
3 604
 
7.3%
5 593
 
7.1%
9 476
 
5.7%
4 353
 
4.2%
6 300
 
3.6%
0 208
 
2.5%
8 157
 
1.9%

단속일시
Date

Distinct9537
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 09:07:00
Maximum2023-11-30 20:46:00
2023-12-12T10:49:08.603087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:49:08.724753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속장소
Text

Distinct1415
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T10:49:08.964486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length20
Mean length11.2628
Min length3

Characters and Unicode

Total characters112628
Distinct characters272
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique658 ?
Unique (%)6.6%

Sample

1st row프리존빌딩 부근
2nd row괴안동 부광로7번길 부근
3rd row상동 고려호텔 먹자골목 부근
4th row소사본동 소사로202번길 부근
5th row장명주차장(프리존주상복합 맞은편)
ValueCountFrequency (%)
부근 5487
 
20.0%
상동 2525
 
9.2%
먹자골목 584
 
2.1%
고려호텔 584
 
2.1%
사거리 487
 
1.8%
중동 477
 
1.7%
심곡동 468
 
1.7%
세이브존 397
 
1.4%
드림모아 392
 
1.4%
안쪽길 392
 
1.4%
Other values (1220) 15628
57.0%
2023-12-12T10:49:09.742426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17517
 
15.6%
부 7173
 
6.4%
동 6656
 
5.9%
근 5819
 
5.2%
로 3786
 
3.4%
상 3260
 
2.9%
길 2968
 
2.6%
1 1978
 
1.8%
2 1766
 
1.6%
3 1743
 
1.5%
Other values (262) 59962
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79712
70.8%
Space Separator 17517
 
15.6%
Decimal Number 11600
 
10.3%
Close Punctuation 1252
 
1.1%
Open Punctuation 1252
 
1.1%
Dash Punctuation 972
 
0.9%
Uppercase Letter 317
 
0.3%
Other Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 7173
 
9.0%
동 6656
 
8.4%
근 5819
 
7.3%
로 3786
 
4.7%
상 3260
 
4.1%
길 2968
 
3.7%
번 1687
 
2.1%
리 1539
 
1.9%
사 1331
 
1.7%
곡 1299
 
1.6%
Other values (235) 44194
55.4%
Decimal Number
ValueCountFrequency (%)
1 1978
17.1%
2 1766
15.2%
3 1743
15.0%
4 1334
11.5%
7 1132
9.8%
5 1055
9.1%
0 768
 
6.6%
6 753
 
6.5%
9 663
 
5.7%
8 408
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 168
53.0%
C 40
 
12.6%
G 34
 
10.7%
V 34
 
10.7%
K 20
 
6.3%
T 17
 
5.4%
J 2
 
0.6%
M 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
* 4
66.7%
. 1
 
16.7%
: 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 1250
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1250
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
17517
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 972
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 79712
70.8%
Common 32599
28.9%
Latin 317
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 7173
 
9.0%
동 6656
 
8.4%
근 5819
 
7.3%
로 3786
 
4.7%
상 3260
 
4.1%
길 2968
 
3.7%
번 1687
 
2.1%
리 1539
 
1.9%
사 1331
 
1.7%
곡 1299
 
1.6%
Other values (235) 44194
55.4%
Common
ValueCountFrequency (%)
17517
53.7%
1 1978
 
6.1%
2 1766
 
5.4%
3 1743
 
5.3%
4 1334
 
4.1%
) 1250
 
3.8%
( 1250
 
3.8%
7 1132
 
3.5%
5 1055
 
3.2%
- 972
 
3.0%
Other values (9) 2602
 
8.0%
Latin
ValueCountFrequency (%)
B 168
53.0%
C 40
 
12.6%
G 34
 
10.7%
V 34
 
10.7%
K 20
 
6.3%
T 17
 
5.4%
J 2
 
0.6%
M 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 79712
70.8%
ASCII 32916
29.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17517
53.2%
1 1978
 
6.0%
2 1766
 
5.4%
3 1743
 
5.3%
4 1334
 
4.1%
) 1250
 
3.8%
( 1250
 
3.8%
7 1132
 
3.4%
5 1055
 
3.2%
- 972
 
3.0%
Other values (17) 2919
 
8.9%
Hangul
ValueCountFrequency (%)
부 7173
 
9.0%
동 6656
 
8.4%
근 5819
 
7.3%
로 3786
 
4.7%
상 3260
 
4.1%
길 2968
 
3.7%
번 1687
 
2.1%
리 1539
 
1.9%
사 1331
 
1.7%
곡 1299
 
1.6%
Other values (235) 44194
55.4%

Missing values

2023-12-12T10:49:07.424710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:49:07.544969image/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

시군구명단속동단속일시단속장소
96151부천시심곡동2023-11-05 10:06프리존빌딩 부근
25526부천시부광로7번길2023-06-08 10:30괴안동 부광로7번길 부근
46558부천시상동2023-07-06 15:35상동 고려호텔 먹자골목 부근
66955부천시소사로202번길2023-07-03 15:09소사본동 소사로202번길 부근
29141부천시부일로2023-11-12 09:45장명주차장(프리존주상복합 맞은편)
9269부천시괴안동2023-03-31 14:38괴안동 경인로 주변
65186부천시성주로269번길2023-05-19 10:51심곡본동 성주로269번길 부근
69771부천시소사본동2023-07-12 14:44소사본동 400-3 부근
8096부천시고강동2023-10-21 22:10고강동 343-1
61091부천시석천로177번길2023-01-15 09:43현대백화점 뒷길 (양방향길)
시군구명단속동단속일시단속장소
44015부천시상동2023-05-07 15:46상동 고려호텔 먹자골목 부근
66936부천시소사로202번길2023-05-22 15:21소사본동 소사로202번길 부근
82079부천시송내동2023-03-22 20:30대진아파트
67136부천시소사로247번길2023-07-03 14:40소사본동 소사로247번길 부근
66826부천시소사로160번길2023-02-03 14:47소사본동 소사로160번길 부근
21793부천시도당동2023-07-12 17:23도당동 수도로 주변
4206부천시경인로1185번길2023-09-13 14:36송내동 경인로1185번길 부근
10639부천시괴안동2023-08-18 14:06괴안동 255-2
36716부천시삼작로2023-02-13 15:20내동 삼작로 부근
5817부천시고강동2023-01-30 18:01고강동 300-13

Duplicate rows

Most frequently occurring

시군구명단속동단속일시단속장소# duplicates
22부천시부일로2023-02-06 14:28상동 부일로 부근3
61부천시상동2023-08-07 09:48길주로121번길3
71부천시상일로122번길2023-11-28 17:05상동 상일로122번길 부근3
86부천시송내대로74번길2023-02-20 14:45상동 송내대로74번길 부근3
0부천시경인로2023-04-18 15:25심곡본동 경인로 부근2
1부천시경인로2023-08-04 10:02심곡본동 경인로 부근2
2부천시경인로134번길2023-09-01 11:08송내동 경인로134번길 부근2
3부천시고강동2023-04-18 15:40고강로2
4부천시길주로2023-02-21 15:07중동 길주로 부근2
5부천시길주로2023-03-06 15:10중동 길주로 부근2