Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows269
Duplicate rows (%)2.7%
Total size in memory468.8 KiB
Average record size in memory48.0 B

Variable types

Categorical2
DateTime2
Text1

Dataset

Description최근 5년간 대구광역시 달성군 불법주정차 단속 현황에 관한 데이터로 날짜, 단속장소, 단속 시간 등의 데이터 제공합니다.
Author대구광역시 달성군
URLhttps://www.data.go.kr/data/15037694/fileData.do

Alerts

단속기관 has constant value ""Constant
기준일자 has constant value ""Constant
Dataset has 269 (2.7%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-13 00:18:24.121657
Analysis finished2023-12-13 00:18:24.556435
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단속기관
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
달성군 10000
100.0%

Length

2023-12-13T09:18:24.602773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:18:24.665336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달성군 10000
100.0%

단속일자
Date

Distinct845
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-01-05 00:00:00
Maximum2018-03-15 00:00:00
2023-12-13T09:18:24.741014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:18:24.841155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속시간
Date

Distinct804
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-12-13 07:30:00
Maximum2023-12-13 21:40:00
2023-12-13T09:18:24.936450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:18:25.047375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

단속장소
Text

Distinct286
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:18:25.258671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length8.7024
Min length3

Characters and Unicode

Total characters87024
Distinct characters228
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)0.9%

Sample

1st row다사읍 동강타워 부근
2nd row죽곡휴먼시아1단지앞
3rd row유가면 테크노공원로 부
4th row다사읍 강창동서타운아파
5th row화남초등학교
ValueCountFrequency (%)
부근 2629
 
15.9%
다사읍 1281
 
7.8%
죽곡휴먼시아1단지앞 1197
 
7.3%
죽곡초등학교 1171
 
7.1%
대실역 657
 
4.0%
다사죽곡우리은행삼거리 613
 
3.7%
화원읍 596
 
3.6%
가창면 349
 
2.1%
부 305
 
1.8%
유가파출소주변 305
 
1.8%
Other values (268) 7399
44.8%
2023-12-13T09:18:25.572991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6502
 
7.5%
곡 3890
 
4.5%
죽 3583
 
4.1%
부 3105
 
3.6%
근 2991
 
3.4%
사 2695
 
3.1%
다 2391
 
2.7%
읍 2170
 
2.5%
로 2167
 
2.5%
교 2044
 
2.3%
Other values (218) 55486
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77563
89.1%
Space Separator 6502
 
7.5%
Decimal Number 2723
 
3.1%
Other Punctuation 193
 
0.2%
Uppercase Letter 27
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Open Punctuation 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
곡 3890
 
5.0%
죽 3583
 
4.6%
부 3105
 
4.0%
근 2991
 
3.9%
사 2695
 
3.5%
다 2391
 
3.1%
읍 2170
 
2.8%
로 2167
 
2.8%
교 2044
 
2.6%
리 2005
 
2.6%
Other values (198) 50522
65.1%
Decimal Number
ValueCountFrequency (%)
1 1545
56.7%
2 364
 
13.4%
4 287
 
10.5%
5 173
 
6.4%
6 90
 
3.3%
7 82
 
3.0%
9 70
 
2.6%
0 54
 
2.0%
3 53
 
1.9%
8 5
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
K 9
33.3%
A 9
33.3%
R 9
33.3%
Other Punctuation
ValueCountFrequency (%)
. 187
96.9%
& 6
 
3.1%
Space Separator
ValueCountFrequency (%)
6502
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77563
89.1%
Common 9431
 
10.8%
Latin 30
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
곡 3890
 
5.0%
죽 3583
 
4.6%
부 3105
 
4.0%
근 2991
 
3.9%
사 2695
 
3.5%
다 2391
 
3.1%
읍 2170
 
2.8%
로 2167
 
2.8%
교 2044
 
2.6%
리 2005
 
2.6%
Other values (198) 50522
65.1%
Common
ValueCountFrequency (%)
6502
68.9%
1 1545
 
16.4%
2 364
 
3.9%
4 287
 
3.0%
. 187
 
2.0%
5 173
 
1.8%
6 90
 
1.0%
7 82
 
0.9%
9 70
 
0.7%
0 54
 
0.6%
Other values (6) 77
 
0.8%
Latin
ValueCountFrequency (%)
K 9
30.0%
A 9
30.0%
R 9
30.0%
e 3
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77563
89.1%
ASCII 9461
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6502
68.7%
1 1545
 
16.3%
2 364
 
3.8%
4 287
 
3.0%
. 187
 
2.0%
5 173
 
1.8%
6 90
 
1.0%
7 82
 
0.9%
9 70
 
0.7%
0 54
 
0.6%
Other values (10) 107
 
1.1%
Hangul
ValueCountFrequency (%)
곡 3890
 
5.0%
죽 3583
 
4.6%
부 3105
 
4.0%
근 2991
 
3.9%
사 2695
 
3.5%
다 2391
 
3.1%
읍 2170
 
2.8%
로 2167
 
2.8%
교 2044
 
2.6%
리 2005
 
2.6%
Other values (198) 50522
65.1%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-05
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-05
2nd row2023-12-05
3rd row2023-12-05
4th row2023-12-05
5th row2023-12-05

Common Values

ValueCountFrequency (%)
2023-12-05 10000
100.0%

Length

2023-12-13T09:18:25.671867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:18:25.735778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-05 10000
100.0%

Missing values

2023-12-13T09:18:24.452857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:18:24.523276image/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

단속기관단속일자단속시간단속장소기준일자
15044달성군2015-12-1414:30:00다사읍 동강타워 부근2023-12-05
93971달성군2018-03-0614:02:00죽곡휴먼시아1단지앞2023-12-05
45922달성군2017-01-0515:16:00유가면 테크노공원로 부2023-12-05
7726달성군2015-07-1415:19:00다사읍 강창동서타운아파2023-12-05
71011달성군2017-09-0719:40:00화남초등학교2023-12-05
38696달성군2016-10-1320:22:00죽곡초등학교2023-12-05
84136달성군2017-12-1416:22:00대성베르힐4단지주변2023-12-05
23803달성군2016-03-2911:25:00대실역2023-12-05
79721달성군2017-11-1410:53:00죽곡초등학교2023-12-05
44519달성군2016-12-1211:05:00유가파출소주변2023-12-05
단속기관단속일자단속시간단속장소기준일자
35843달성군2016-09-029:34:00죽곡휴먼시아1단지앞2023-12-05
79689달성군2017-11-1419:34:00유가파출소2023-12-05
63009달성군2017-07-0715:21:00다사읍 왕선로 부근2023-12-05
84234달성군2017-12-1415:45:00죽곡초등학교2023-12-05
44886달성군2016-12-1510:08:00유가파출소주변2023-12-05
7725달성군2015-07-1415:18:00다사읍 강창동서타운아파2023-12-05
69577달성군2017-08-298:48:00대실역2023-12-05
66713달성군2017-08-0214:00:00죽곡휴먼시아1단지앞2023-12-05
11745달성군2015-10-1410:35:00화원읍 국민은행 부근2023-12-05
40641달성군2016-11-048:53:00죽곡휴먼시아1단지앞2023-12-05

Duplicate rows

Most frequently occurring

단속기관단속일자단속시간단속장소기준일자# duplicates
88달성군2016-01-2713:56:00현풍면 제일맨션 부근2023-12-056
2달성군2015-01-2514:02:00가창면 가창로 부근2023-12-054
238달성군2017-11-0911:01:00다사읍 죽곡1길 부근2023-12-054
4달성군2015-01-2614:55:00다사읍 죽곡초교 부근2023-12-053
16달성군2015-04-1015:04:00가창면 가창로 부근2023-12-053
19달성군2015-04-3016:15:00다사읍 대실역 부근2023-12-053
25달성군2015-05-2215:41:00가창면 가창로 부근2023-12-053
31달성군2015-06-2215:30:00다사읍 동강타워 부근2023-12-053
58달성군2015-10-2916:09:00다사읍 강창교 부근2023-12-053
74달성군2015-12-1511:45:00다사읍 대실역 부근2023-12-053