Overview

Dataset statistics

Number of variables4
Number of observations300
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory9.5 KiB
Average record size in memory32.4 B

Variable types

Text1
Categorical3

Dataset

Description자동차관리법 및 자동차종합검사 시행등에 관한 규칙에 따라 한국교통안전공단(KOTSA)에서 관리하는 자동차검사 자료입니다.
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15088046/fileData.do

Alerts

적용일자 has constant value ""Constant
사용여부 has constant value ""Constant
등록일시 has constant value ""Constant
Dataset has 1 (0.3%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 13:52:00.428359
Analysis finished2023-12-12 13:52:00.672687
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법정동
Text

Distinct299
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-12T22:52:00.944009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length13.496667
Min length11

Characters and Unicode

Total characters4049
Distinct characters182
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique298 ?
Unique (%)99.3%

Sample

1st row서울특별시 종로구 신교동
2nd row서울특별시 종로구 궁정동
3rd row서울특별시 종로구 효자동
4th row서울특별시 종로구 창성동
5th row서울특별시 종로구 통의동
ValueCountFrequency (%)
서울특별시 300
33.3%
종로구 86
 
9.6%
중구 74
 
8.2%
성북구 39
 
4.3%
용산구 36
 
4.0%
성동구 17
 
1.9%
은평구 12
 
1.3%
동대문구 10
 
1.1%
광진구 7
 
0.8%
중랑구 6
 
0.7%
Other values (302) 313
34.8%
2023-12-12T22:52:01.385864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
600
14.8%
서 305
 
7.5%
구 303
 
7.5%
울 300
 
7.4%
동 300
 
7.4%
시 300
 
7.4%
별 300
 
7.4%
특 300
 
7.4%
로 124
 
3.1%
가 110
 
2.7%
Other values (172) 1107
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3340
82.5%
Space Separator 600
 
14.8%
Decimal Number 109
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 305
 
9.1%
구 303
 
9.1%
울 300
 
9.0%
동 300
 
9.0%
시 300
 
9.0%
별 300
 
9.0%
특 300
 
9.0%
로 124
 
3.7%
가 110
 
3.3%
종 94
 
2.8%
Other values (164) 904
27.1%
Decimal Number
ValueCountFrequency (%)
1 31
28.4%
2 29
26.6%
3 18
16.5%
4 13
11.9%
5 10
 
9.2%
6 5
 
4.6%
7 3
 
2.8%
Space Separator
ValueCountFrequency (%)
600
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3340
82.5%
Common 709
 
17.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 305
 
9.1%
구 303
 
9.1%
울 300
 
9.0%
동 300
 
9.0%
시 300
 
9.0%
별 300
 
9.0%
특 300
 
9.0%
로 124
 
3.7%
가 110
 
3.3%
종 94
 
2.8%
Other values (164) 904
27.1%
Common
ValueCountFrequency (%)
600
84.6%
1 31
 
4.4%
2 29
 
4.1%
3 18
 
2.5%
4 13
 
1.8%
5 10
 
1.4%
6 5
 
0.7%
7 3
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3340
82.5%
ASCII 709
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
600
84.6%
1 31
 
4.4%
2 29
 
4.1%
3 18
 
2.5%
4 13
 
1.8%
5 10
 
1.4%
6 5
 
0.7%
7 3
 
0.4%
Hangul
ValueCountFrequency (%)
서 305
 
9.1%
구 303
 
9.1%
울 300
 
9.0%
동 300
 
9.0%
시 300
 
9.0%
별 300
 
9.0%
특 300
 
9.0%
로 124
 
3.7%
가 110
 
3.3%
종 94
 
2.8%
Other values (164) 904
27.1%

적용일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2013-08-09
300 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 2013-08-09
2nd row 2013-08-09
3rd row 2013-08-09
4th row 2013-08-09
5th row 2013-08-09

Common Values

ValueCountFrequency (%)
2013-08-09 300
100.0%

Length

2023-12-12T22:52:01.498621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:52:01.575604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013-08-09 300
100.0%

사용여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Y
300 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row Y
2nd row Y
3rd row Y
4th row Y
5th row Y

Common Values

ValueCountFrequency (%)
Y 300
100.0%

Length

2023-12-12T22:52:01.655090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:52:01.734518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 300
100.0%

등록일시
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2013-10-08
300 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 2013-10-08
2nd row 2013-10-08
3rd row 2013-10-08
4th row 2013-10-08
5th row 2013-10-08

Common Values

ValueCountFrequency (%)
2013-10-08 300
100.0%

Length

2023-12-12T22:52:01.839141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:52:01.936836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013-10-08 300
100.0%

Missing values

2023-12-12T22:52:00.567630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:52:00.645550image/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

법정동적용일자사용여부등록일시
0서울특별시 종로구 신교동2013-08-09Y2013-10-08
1서울특별시 종로구 궁정동2013-08-09Y2013-10-08
2서울특별시 종로구 효자동2013-08-09Y2013-10-08
3서울특별시 종로구 창성동2013-08-09Y2013-10-08
4서울특별시 종로구 통의동2013-08-09Y2013-10-08
5서울특별시 종로구 적선동2013-08-09Y2013-10-08
6서울특별시 종로구 통인동2013-08-09Y2013-10-08
7서울특별시 종로구 누상동2013-08-09Y2013-10-08
8서울특별시 종로구 누하동2013-08-09Y2013-10-08
9서울특별시 종로구 옥인동2013-08-09Y2013-10-08
법정동적용일자사용여부등록일시
290서울특별시 은평구 불광동2013-08-09Y2013-10-08
291서울특별시 은평구 갈현동2013-08-09Y2013-10-08
292서울특별시 은평구 구산동2013-08-09Y2013-10-08
293서울특별시 은평구 대조동2013-08-09Y2013-10-08
294서울특별시 은평구 응암동2013-08-09Y2013-10-08
295서울특별시 은평구 역촌동2013-08-09Y2013-10-08
296서울특별시 은평구 신사동2013-08-09Y2013-10-08
297서울특별시 은평구 증산동2013-08-09Y2013-10-08
298서울특별시 은평구 진관동2013-08-09Y2013-10-08
299서울특별시 은평구 진관동2013-08-09Y2013-10-08

Duplicate rows

Most frequently occurring

법정동적용일자사용여부등록일시# duplicates
0서울특별시 은평구 진관동2013-08-09Y2013-10-082