Overview

Dataset statistics

Number of variables5
Number of observations2293
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.2 KiB
Average record size in memory42.1 B

Variable types

Categorical2
Text1
Numeric1
DateTime1

Dataset

Description울산광역시 중구의 불법주정차단속정보에 대한 데이터로 불법주정차단속위치, 단속건수, 견인건수 등의 정보를 제공합니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15073744/fileData.do

Alerts

견인 건수 has constant value ""Constant
데이터 기준일 has constant value ""Constant
단속형태 is highly imbalanced (54.8%)Imbalance

Reproduction

Analysis started2023-12-12 11:22:14.527687
Analysis finished2023-12-12 11:22:15.422334
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단속형태
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
스마트폰단속
1817 
이동형CCTV단속
271 
버스탑재형CCTV단속
 
101
고정형CCTV단속
 
96
외부기관인력단속
 
8

Length

Max length11
Median length6
Mean length6.7073703
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
스마트폰단속 1817
79.2%
이동형CCTV단속 271
 
11.8%
버스탑재형CCTV단속 101
 
4.4%
고정형CCTV단속 96
 
4.2%
외부기관인력단속 8
 
0.3%

Length

2023-12-12T20:22:15.554248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:22:15.745058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
스마트폰단속 1817
79.2%
이동형cctv단속 271
 
11.8%
버스탑재형cctv단속 101
 
4.4%
고정형cctv단속 96
 
4.2%
외부기관인력단속 8
 
0.3%

불법주정차 단속 위치
Text

Distinct2292
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2023-12-12T20:22:16.188478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.7701701
Min length3

Characters and Unicode

Total characters17817
Distinct characters207
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2291 ?
Unique (%)99.9%

Sample

1st rowKB국민은행 울산지점 앞
2nd rowKB국민은행 혁신지점
3rd row경남은행 옥교지점앞
4th row남외동 경남은행 앞
5th row남외동 병영사거리
ValueCountFrequency (%)
태화동 39
 
1.4%
반구동 35
 
1.3%
남외동 34
 
1.3%
우정동 26
 
1.0%
성남동 24
 
0.9%
앞 22
 
0.8%
성안동 22
 
0.8%
복산동 21
 
0.8%
학성동 19
 
0.7%
옥교동 18
 
0.7%
Other values (2258) 2436
90.4%
2023-12-12T20:22:16.974618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 2311
 
13.0%
- 1453
 
8.2%
1 1393
 
7.8%
2 991
 
5.6%
4 847
 
4.8%
3 740
 
4.2%
5 728
 
4.1%
7 620
 
3.5%
6 608
 
3.4%
8 565
 
3.2%
Other values (197) 7561
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8419
47.3%
Decimal Number 7518
42.2%
Dash Punctuation 1453
 
8.2%
Space Separator 403
 
2.3%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2311
27.4%
성 508
 
6.0%
남 508
 
6.0%
외 312
 
3.7%
화 291
 
3.5%
태 271
 
3.2%
길 254
 
3.0%
구 251
 
3.0%
산 230
 
2.7%
학 221
 
2.6%
Other values (181) 3262
38.7%
Decimal Number
ValueCountFrequency (%)
1 1393
18.5%
2 991
13.2%
4 847
11.3%
3 740
9.8%
5 728
9.7%
7 620
8.2%
6 608
8.1%
8 565
7.5%
0 551
 
7.3%
9 475
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
K 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1453
100.0%
Space Separator
ValueCountFrequency (%)
403
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9394
52.7%
Hangul 8419
47.3%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2311
27.4%
성 508
 
6.0%
남 508
 
6.0%
외 312
 
3.7%
화 291
 
3.5%
태 271
 
3.2%
길 254
 
3.0%
구 251
 
3.0%
산 230
 
2.7%
학 221
 
2.6%
Other values (181) 3262
38.7%
Common
ValueCountFrequency (%)
- 1453
15.5%
1 1393
14.8%
2 991
10.5%
4 847
9.0%
3 740
7.9%
5 728
7.7%
7 620
6.6%
6 608
6.5%
8 565
 
6.0%
0 551
 
5.9%
Other values (4) 898
9.6%
Latin
ValueCountFrequency (%)
B 2
50.0%
K 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9398
52.7%
Hangul 8419
47.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 2311
27.4%
성 508
 
6.0%
남 508
 
6.0%
외 312
 
3.7%
화 291
 
3.5%
태 271
 
3.2%
길 254
 
3.0%
구 251
 
3.0%
산 230
 
2.7%
학 221
 
2.6%
Other values (181) 3262
38.7%
ASCII
ValueCountFrequency (%)
- 1453
15.5%
1 1393
14.8%
2 991
10.5%
4 847
9.0%
3 740
7.9%
5 728
7.7%
7 620
6.6%
6 608
6.5%
8 565
 
6.0%
0 551
 
5.9%
Other values (6) 902
9.6%

단속건수
Real number (ℝ)

Distinct167
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.668556
Minimum7
Maximum2551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2023-12-12T20:22:17.729283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median8
Q311
95-th percentile85
Maximum2551
Range2544
Interquartile range (IQR)4

Descriptive statistics

Standard deviation99.792477
Coefficient of variation (CV)3.8877323
Kurtosis295.15933
Mean25.668556
Median Absolute Deviation (MAD)1
Skewness14.772689
Sum58858
Variance9958.5384
MonotonicityNot monotonic
2023-12-12T20:22:18.008481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 1061
46.3%
8 336
 
14.7%
9 145
 
6.3%
10 120
 
5.2%
11 61
 
2.7%
12 57
 
2.5%
13 37
 
1.6%
14 35
 
1.5%
15 25
 
1.1%
16 23
 
1.0%
Other values (157) 393
 
17.1%
ValueCountFrequency (%)
7 1061
46.3%
8 336
 
14.7%
9 145
 
6.3%
10 120
 
5.2%
11 61
 
2.7%
12 57
 
2.5%
13 37
 
1.6%
14 35
 
1.5%
15 25
 
1.1%
16 23
 
1.0%
ValueCountFrequency (%)
2551 1
< 0.1%
2060 1
< 0.1%
1451 1
< 0.1%
1383 1
< 0.1%
1047 1
< 0.1%
638 1
< 0.1%
589 1
< 0.1%
579 1
< 0.1%
564 1
< 0.1%
561 1
< 0.1%

견인 건수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
0
2293 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2293
100.0%

Length

2023-12-12T20:22:18.236903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:22:18.402426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2293
100.0%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
Minimum2023-09-01 00:00:00
Maximum2023-09-01 00:00:00
2023-12-12T20:22:18.526876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:22:18.667899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T20:22:14.914896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:22:18.774660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속형태단속건수
단속형태1.0000.311
단속건수0.3111.000
2023-12-12T20:22:18.902122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속건수단속형태
단속건수1.0000.205
단속형태0.2051.000

Missing values

2023-12-12T20:22:15.162446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:22:15.355699image/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

단속형태불법주정차 단속 위치단속건수견인 건수데이터 기준일
0고정형CCTV단속KB국민은행 울산지점 앞38802023-09-01
1고정형CCTV단속KB국민은행 혁신지점55402023-09-01
2고정형CCTV단속경남은행 옥교지점앞20802023-09-01
3고정형CCTV단속남외동 경남은행 앞14002023-09-01
4고정형CCTV단속남외동 병영사거리8902023-09-01
5고정형CCTV단속남외동 복개천주차장3902023-09-01
6고정형CCTV단속남외동 삼일아파트 앞33502023-09-01
7고정형CCTV단속남외동 선우시장 입구24702023-09-01
8고정형CCTV단속남외초등학교 주변11402023-09-01
9고정형CCTV단속내황 초등학교 주변3902023-09-01
단속형태불법주정차 단속 위치단속건수견인 건수데이터 기준일
2283버스탑재형CCTV단속학산동번영로802023-09-01
2284버스탑재형CCTV단속학산동학성로5102023-09-01
2285버스탑재형CCTV단속학성동가구거리1702023-09-01
2286버스탑재형CCTV단속학성동구교로1002023-09-01
2287버스탑재형CCTV단속학성동구역전1길802023-09-01
2288버스탑재형CCTV단속학성동구역전길1402023-09-01
2289버스탑재형CCTV단속학성동서원10길702023-09-01
2290버스탑재형CCTV단속학성동학산로702023-09-01
2291버스탑재형CCTV단속학성동학성공원8길702023-09-01
2292버스탑재형CCTV단속학성동학성로13002023-09-01