Overview

Dataset statistics

Number of variables3
Number of observations1291
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.4 KiB
Average record size in memory24.1 B

Variable types

Text1
Categorical2

Dataset

Description경기도 이천시 도시계획정보시스템상 차량출입불허구간 데이터로 현황도형 관리번호, 라벨명, 현황도형 생성일 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15118545/fileData.do

Alerts

라벨명 has constant value ""Constant
현황도형 관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:55:34.994478
Analysis finished2023-12-12 21:55:35.191677
Duration0.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

현황도형 관리번호
Text

UNIQUE 

Distinct1291
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-12-13T06:55:35.327303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters30984
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1291 ?
Unique (%)100.0%

Sample

1st row41500UQ166LM202212190001
2nd row41500UQ166LM202212190002
3rd row41500UQ166LM202212190003
4th row41500UQ166LM202212190004
5th row41500UQ166LM202212190005
ValueCountFrequency (%)
41500uq166lm202212190001 1
 
0.1%
41500uq166lm202304300563 1
 
0.1%
41500uq166lm202304300541 1
 
0.1%
41500uq166lm202304300540 1
 
0.1%
41500uq166lm202304300539 1
 
0.1%
41500uq166lm202304300538 1
 
0.1%
41500uq166lm202304300537 1
 
0.1%
41500uq166lm202304300536 1
 
0.1%
41500uq166lm202304300543 1
 
0.1%
41500uq166lm202304300535 1
 
0.1%
Other values (1281) 1281
99.2%
2023-12-13T06:55:35.604672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7934
25.6%
1 3913
12.6%
2 3282
10.6%
6 2928
 
9.5%
3 2773
 
8.9%
4 2432
 
7.8%
5 1645
 
5.3%
U 1291
 
4.2%
Q 1291
 
4.2%
L 1291
 
4.2%
Other values (4) 2204
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25820
83.3%
Uppercase Letter 5164
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7934
30.7%
1 3913
15.2%
2 3282
12.7%
6 2928
 
11.3%
3 2773
 
10.7%
4 2432
 
9.4%
5 1645
 
6.4%
9 410
 
1.6%
8 254
 
1.0%
7 249
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
U 1291
25.0%
Q 1291
25.0%
L 1291
25.0%
M 1291
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25820
83.3%
Latin 5164
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7934
30.7%
1 3913
15.2%
2 3282
12.7%
6 2928
 
11.3%
3 2773
 
10.7%
4 2432
 
9.4%
5 1645
 
6.4%
9 410
 
1.6%
8 254
 
1.0%
7 249
 
1.0%
Latin
ValueCountFrequency (%)
U 1291
25.0%
Q 1291
25.0%
L 1291
25.0%
M 1291
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7934
25.6%
1 3913
12.6%
2 3282
10.6%
6 2928
 
9.5%
3 2773
 
8.9%
4 2432
 
7.8%
5 1645
 
5.3%
U 1291
 
4.2%
Q 1291
 
4.2%
L 1291
 
4.2%
Other values (4) 2204
 
7.1%

라벨명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
차량출입불허구간
1291 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
차량출입불허구간 1291
100.0%

Length

2023-12-13T06:55:35.769492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:35.883459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
차량출입불허구간 1291
100.0%

현황도형 생성일
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.2 KiB
2023-04-30
815 
2023-03-30
202 
2022-12-30
165 
2023-03-31
109 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-30
2nd row2022-12-30
3rd row2022-12-30
4th row2022-12-30
5th row2022-12-30

Common Values

ValueCountFrequency (%)
2023-04-30 815
63.1%
2023-03-30 202
 
15.6%
2022-12-30 165
 
12.8%
2023-03-31 109
 
8.4%

Length

2023-12-13T06:55:35.963953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:55:36.428545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-30 815
63.1%
2023-03-30 202
 
15.6%
2022-12-30 165
 
12.8%
2023-03-31 109
 
8.4%

Missing values

2023-12-13T06:55:35.081160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:55:35.158761image/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

현황도형 관리번호라벨명현황도형 생성일
041500UQ166LM202212190001차량출입불허구간2022-12-30
141500UQ166LM202212190002차량출입불허구간2022-12-30
241500UQ166LM202212190003차량출입불허구간2022-12-30
341500UQ166LM202212190004차량출입불허구간2022-12-30
441500UQ166LM202212190005차량출입불허구간2022-12-30
541500UQ166LM202212190006차량출입불허구간2022-12-30
641500UQ166LM202212190007차량출입불허구간2022-12-30
741500UQ166LM202212190008차량출입불허구간2022-12-30
841500UQ166LM202212190009차량출입불허구간2022-12-30
941500UQ166LM202212190010차량출입불허구간2022-12-30
현황도형 관리번호라벨명현황도형 생성일
128141500UQ166LM202304110146차량출입불허구간2023-04-30
128241500UQ166LM202304110147차량출입불허구간2023-04-30
128341500UQ166LM202304110148차량출입불허구간2023-04-30
128441500UQ166LM202304110149차량출입불허구간2023-04-30
128541500UQ166LM202304110150차량출입불허구간2023-04-30
128641500UQ166LM202304180001차량출입불허구간2023-04-30
128741500UQ166LM202304180002차량출입불허구간2023-04-30
128841500UQ166LM202304180003차량출입불허구간2023-04-30
128941500UQ166LM202304180004차량출입불허구간2023-04-30
129041500UQ166LM202304180005차량출입불허구간2023-04-30