Overview

Dataset statistics

Number of variables8
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory65.3 B

Variable types

Categorical6
DateTime1
Text1

Dataset

Description이 데이터는 서울특별시 동작구의 불법주정차 PDA 단속 현황(2020. 1. 1. ~12. 31.)에 관한 것입니다. 이 데이터에는 단속일시, 단속동, 단속장소, 특별구역, 위반내용, 처리상태의 정보가 포함되어 있습니다.
Author서울특별시 동작구
URLhttps://www.data.go.kr/data/15088518/fileData.do

Alerts

시군구명 has constant value ""Constant
단속조 has constant value ""Constant
위반내용 is highly overall correlated with 특별구역High correlation
특별구역 is highly overall correlated with 단속동 and 1 other fieldsHigh correlation
단속동 is highly overall correlated with 특별구역High correlation
단속일시 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:14:29.323333
Analysis finished2023-12-12 11:14:30.113045
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
동작구
103 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작구 103
100.0%

Length

2023-12-12T20:14:30.235408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:14:30.390351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작구 103
100.0%

단속일시
Date

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum2020-01-08 10:58:00
Maximum2020-12-29 15:29:00
2023-12-12T20:14:30.571346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:14:30.795607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속동
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size956.0 B
상도동
18 
사당동
16 
대방동
16 
본동
15 
노량진동
13 
Other values (4)
25 

Length

Max length4
Median length3
Mean length3.1456311
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상도동
2nd row사당동
3rd row신대방동
4th row사당동
5th row사당동

Common Values

ValueCountFrequency (%)
상도동 18
17.5%
사당동 16
15.5%
대방동 16
15.5%
본동 15
14.6%
노량진동 13
12.6%
신대방동 9
8.7%
상도1동 8
7.8%
흑석동 5
 
4.9%
동작동 3
 
2.9%

Length

2023-12-12T20:14:31.033085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:14:31.265961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상도동 18
17.5%
사당동 16
15.5%
대방동 16
15.5%
본동 15
14.6%
노량진동 13
12.6%
신대방동 9
8.7%
상도1동 8
7.8%
흑석동 5
 
4.9%
동작동 3
 
2.9%
Distinct84
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-12T20:14:31.698066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length13.660194
Min length3

Characters and Unicode

Total characters1407
Distinct characters80
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)68.9%

Sample

1st row501-4
2nd row1129
3rd row607-28
4th row1129
5th row1129
ValueCountFrequency (%)
동작구 68
20.3%
서울 57
 
17.0%
본동 12
 
3.6%
대방동 12
 
3.6%
서울특별시 11
 
3.3%
신대방동 8
 
2.4%
1129 6
 
1.8%
상도1동 5
 
1.5%
상도동 5
 
1.5%
노량진동 5
 
1.5%
Other values (107) 146
43.6%
2023-12-12T20:14:32.246898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
16.5%
134
 
9.5%
1 87
 
6.2%
74
 
5.3%
- 71
 
5.0%
68
 
4.8%
68
 
4.8%
68
 
4.8%
2 51
 
3.6%
4 51
 
3.6%
Other values (70) 503
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 688
48.9%
Decimal Number 412
29.3%
Space Separator 232
 
16.5%
Dash Punctuation 71
 
5.0%
Open Punctuation 3
 
0.2%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
134
19.5%
74
 
10.8%
68
 
9.9%
68
 
9.9%
68
 
9.9%
24
 
3.5%
20
 
2.9%
14
 
2.0%
14
 
2.0%
13
 
1.9%
Other values (56) 191
27.8%
Decimal Number
ValueCountFrequency (%)
1 87
21.1%
2 51
12.4%
4 51
12.4%
5 46
11.2%
0 41
10.0%
6 36
8.7%
3 32
 
7.8%
8 26
 
6.3%
9 23
 
5.6%
7 19
 
4.6%
Space Separator
ValueCountFrequency (%)
232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 719
51.1%
Hangul 688
48.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
134
19.5%
74
 
10.8%
68
 
9.9%
68
 
9.9%
68
 
9.9%
24
 
3.5%
20
 
2.9%
14
 
2.0%
14
 
2.0%
13
 
1.9%
Other values (56) 191
27.8%
Common
ValueCountFrequency (%)
232
32.3%
1 87
 
12.1%
- 71
 
9.9%
2 51
 
7.1%
4 51
 
7.1%
5 46
 
6.4%
0 41
 
5.7%
6 36
 
5.0%
3 32
 
4.5%
8 26
 
3.6%
Other values (4) 46
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 719
51.1%
Hangul 688
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
232
32.3%
1 87
 
12.1%
- 71
 
9.9%
2 51
 
7.1%
4 51
 
7.1%
5 46
 
6.4%
0 41
 
5.7%
6 36
 
5.0%
3 32
 
4.5%
8 26
 
3.6%
Other values (4) 46
 
6.4%
Hangul
ValueCountFrequency (%)
134
19.5%
74
 
10.8%
68
 
9.9%
68
 
9.9%
68
 
9.9%
24
 
3.5%
20
 
2.9%
14
 
2.0%
14
 
2.0%
13
 
1.9%
Other values (56) 191
27.8%

단속조
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
PDA
103 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
PDA 103
100.0%

Length

2023-12-12T20:14:32.431262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:14:32.580238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pda 103
100.0%

특별구역
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
일반
85 
어린이보호구역
18 

Length

Max length7
Median length2
Mean length2.8737864
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 85
82.5%
어린이보호구역 18
 
17.5%

Length

2023-12-12T20:14:32.705539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:14:32.827826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 85
82.5%
어린이보호구역 18
 
17.5%

위반내용
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size956.0 B
보도
58 
주차방법위반
18 
횡단보도
14 
안전지대
 
5
주차금지(황색점선)구역
 
3
Other values (4)
 
5

Length

Max length13
Median length2
Mean length3.5728155
Min length2

Unique

Unique3 ?
Unique (%)2.9%

Sample

1st row보도
2nd row보도
3rd row횡단보도
4th row보도
5th row보도

Common Values

ValueCountFrequency (%)
보도 58
56.3%
주차방법위반 18
 
17.5%
횡단보도 14
 
13.6%
안전지대 5
 
4.9%
주차금지(황색점선)구역 3
 
2.9%
버스정류소 2
 
1.9%
주정차금지(황색실선)구역 1
 
1.0%
도로 모퉁이 1
 
1.0%
교차로 1
 
1.0%

Length

2023-12-12T20:14:32.980456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:14:33.725111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보도 58
55.8%
주차방법위반 18
 
17.3%
횡단보도 14
 
13.5%
안전지대 5
 
4.8%
주차금지(황색점선)구역 3
 
2.9%
버스정류소 2
 
1.9%
주정차금지(황색실선)구역 1
 
1.0%
도로 1
 
1.0%
모퉁이 1
 
1.0%
교차로 1
 
1.0%

처리상태
Categorical

Distinct8
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
자납
68 
수시분수납
14 
압류
10 
의견진술수용
 
5
압류해제수납
 
2
Other values (3)
 
4

Length

Max length6
Median length2
Mean length2.7572816
Min length2

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row자납
2nd row수시분수납
3rd row수시분수납
4th row자납
5th row자납

Common Values

ValueCountFrequency (%)
자납 68
66.0%
수시분수납 14
 
13.6%
압류 10
 
9.7%
의견진술수용 5
 
4.9%
압류해제수납 2
 
1.9%
독촉분수납 2
 
1.9%
부과취소 1
 
1.0%
부과 1
 
1.0%

Length

2023-12-12T20:14:33.914161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:14:34.066082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자납 68
66.0%
수시분수납 14
 
13.6%
압류 10
 
9.7%
의견진술수용 5
 
4.9%
압류해제수납 2
 
1.9%
독촉분수납 2
 
1.9%
부과취소 1
 
1.0%
부과 1
 
1.0%

Correlations

2023-12-12T20:14:34.182685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동단속장소특별구역위반내용처리상태
단속동1.0001.0000.6740.7390.182
단속장소1.0001.0001.0000.8940.960
특별구역0.6741.0001.0001.0000.000
위반내용0.7390.8941.0001.0000.263
처리상태0.1820.9600.0000.2631.000
2023-12-12T20:14:34.332589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동위반내용특별구역처리상태
단속동1.0000.3190.6590.085
위반내용0.3191.0000.9650.128
특별구역0.6590.9651.0000.000
처리상태0.0850.1280.0001.000
2023-12-12T20:14:34.491325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속동특별구역위반내용처리상태
단속동1.0000.6590.3190.085
특별구역0.6591.0000.9650.000
위반내용0.3190.9651.0000.128
처리상태0.0850.0000.1281.000

Missing values

2023-12-12T20:14:29.822396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:14:30.027871image/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

시군구명단속일시단속동단속장소단속조특별구역위반내용처리상태
0동작구2020-01-08 10:58상도동501-4PDA일반보도자납
1동작구2020-01-09 10:51사당동1129PDA일반보도수시분수납
2동작구2020-01-28 15:51신대방동607-28PDA일반횡단보도수시분수납
3동작구2020-01-29 11:13사당동1129PDA일반보도자납
4동작구2020-01-30 15:16사당동1129PDA일반보도자납
5동작구2020-01-31 11:07사당동1046-8PDA일반주차금지(황색점선)구역압류해제수납
6동작구2020-02-07 15:18상도1동624PDA일반보도자납
7동작구2020-02-07 15:29상도동477-15PDA일반보도자납
8동작구2020-02-10 9:35상도동501-5PDA일반보도자납
9동작구2020-02-11 16:32사당동1129PDA일반보도자납
시군구명단속일시단속동단속장소단속조특별구역위반내용처리상태
93동작구2020-10-27 9:33사당동서울 동작구 사당동 87-8PDA일반횡단보도압류해제수납
94동작구2020-10-28 15:26상도1동서울 동작구 상도1동 528-1 정동PDA일반횡단보도자납
95동작구2020-11-02 9:27사당동서울 동작구 사당동 82-5PDA일반보도자납
96동작구2020-11-05 13:29신대방동서울 동작구 신대방동 591-82PDA일반주차금지(황색점선)구역자납
97동작구2020-11-09 15:31상도동서울 동작구 상도동 513 상투골PDA일반보도수시분수납
98동작구2020-11-17 11:04대방동서울 동작구 대방동 466-43PDA일반교차로자납
99동작구2020-11-26 13:13신대방동서울 동작구 신대방동 686-48PDA일반보도자납
100동작구2020-11-26 15:27노량진동서울특별시 동작구 노량진로 202PDA일반횡단보도자납
101동작구2020-12-07 15:13노량진동서울 동작구 노량진동 267-52 노PDA일반보도부과
102동작구2020-12-29 15:29노량진동서울특별시 동작구 양녕로 252 큐브PDA일반보도자납