Overview

Dataset statistics

Number of variables7
Number of observations300
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.5 KiB
Average record size in memory56.4 B

Variable types

Categorical2
Text3
DateTime2

Dataset

Description자동차관리법 및 자동차종합검사 시행등에 관한 규칙에 따라 한국교통안전공단(KOTSA)에서 관리하는 자동차검사 자료입니다.
Author한국교통안전공단
URLhttps://www.data.go.kr/data/15088063/fileData.do

Alerts

연계구분 has constant value ""Constant
전문정비사업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:23:57.411206
Analysis finished2023-12-12 16:23:57.959493
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

Distinct18
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
서울특별시
39 
경상북도
33 
경상남도
33 
경기도
32 
대구광역시
27 
Other values (13)
136 

Length

Max length7
Median length5
Mean length4.34
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row경상남도
2nd row인천광역시
3rd row대구광역시
4th row전라남도
5th row서울특별시

Common Values

ValueCountFrequency (%)
서울특별시 39
13.0%
경상북도 33
11.0%
경상남도 33
11.0%
경기도 32
10.7%
대구광역시 27
9.0%
전라남도 23
 
7.7%
충청북도 16
 
5.3%
충청남도 14
 
4.7%
강원도 13
 
4.3%
광주광역시 12
 
4.0%
Other values (8) 58
19.3%

Length

2023-12-13T01:23:58.021413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 39
13.0%
경상남도 33
11.0%
경상북도 33
11.0%
경기도 32
10.7%
대구광역시 27
9.0%
전라남도 23
 
7.7%
충청북도 16
 
5.3%
충청남도 14
 
4.7%
강원도 13
 
4.3%
전라북도 12
 
4.0%
Other values (8) 58
19.3%

시군구
Text

Distinct95
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-13T01:23:58.242557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0066667
Min length2

Characters and Unicode

Total characters902
Distinct characters89
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)11.0%

Sample

1st row창원시 성산구
2nd row동구
3rd row동구
4th row목포시
5th row송파구
ValueCountFrequency (%)
창원시 18
 
5.9%
순천시 12
 
4.0%
북구 10
 
3.3%
서구 10
 
3.3%
구미시 8
 
2.6%
원주시 7
 
2.3%
달서구 7
 
2.3%
군산시 7
 
2.3%
제주시 7
 
2.3%
포항시 7
 
2.3%
Other values (85) 210
69.3%
2023-12-13T01:23:58.587075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 176
19.5%
구 120
 
13.3%
주 44
 
4.9%
천 36
 
4.0%
산 32
 
3.5%
원 31
 
3.4%
서 31
 
3.4%
군 26
 
2.9%
포 24
 
2.7%
성 20
 
2.2%
Other values (79) 362
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 899
99.7%
Space Separator 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 176
19.6%
구 120
 
13.3%
주 44
 
4.9%
천 36
 
4.0%
산 32
 
3.6%
원 31
 
3.4%
서 31
 
3.4%
군 26
 
2.9%
포 24
 
2.7%
성 20
 
2.2%
Other values (78) 359
39.9%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 899
99.7%
Common 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 176
19.6%
구 120
 
13.3%
주 44
 
4.9%
천 36
 
4.0%
산 32
 
3.6%
원 31
 
3.4%
서 31
 
3.4%
군 26
 
2.9%
포 24
 
2.7%
성 20
 
2.2%
Other values (78) 359
39.9%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 899
99.7%
ASCII 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 176
19.6%
구 120
 
13.3%
주 44
 
4.9%
천 36
 
4.0%
산 32
 
3.6%
원 31
 
3.4%
서 31
 
3.4%
군 26
 
2.9%
포 24
 
2.7%
성 20
 
2.2%
Other values (78) 359
39.9%
ASCII
ValueCountFrequency (%)
3
100.0%

전문정비사업소명
Text

UNIQUE 

Distinct300
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-13T01:23:58.814259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.3333333
Min length3

Characters and Unicode

Total characters2500
Distinct characters256
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

Unique300 ?
Unique (%)100.0%

Sample

1st row경남정비공업사
2nd row한국지엠동인천서비스센터(주)
3rd row성일디젤승용정비공장
4th row대성종합정비공업사
5th row협진자동차공업사
ValueCountFrequency (%)
애니카랜드 8
 
2.3%
주식회사 7
 
2.0%
스피드메이트 7
 
2.0%
제이디피모터스 5
 
1.4%
현대자동차(주 3
 
0.9%
우성현대서비스 2
 
0.6%
현대자동차 2
 
0.6%
기아오토큐 2
 
0.6%
주)세화정비사업소 1
 
0.3%
에이스디젤 1
 
0.3%
Other values (313) 313
89.2%
2023-12-13T01:23:59.191090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 119
 
4.8%
스 118
 
4.7%
동 100
 
4.0%
자 97
 
3.9%
차 90
 
3.6%
카 72
 
2.9%
정 67
 
2.7%
주 66
 
2.6%
사 66
 
2.6%
서 60
 
2.4%
Other values (246) 1645
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2300
92.0%
Open Punctuation 57
 
2.3%
Close Punctuation 57
 
2.3%
Space Separator 51
 
2.0%
Uppercase Letter 21
 
0.8%
Decimal Number 13
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 119
 
5.2%
스 118
 
5.1%
동 100
 
4.3%
자 97
 
4.2%
차 90
 
3.9%
카 72
 
3.1%
정 67
 
2.9%
주 66
 
2.9%
사 66
 
2.9%
서 60
 
2.6%
Other values (227) 1445
62.8%
Uppercase Letter
ValueCountFrequency (%)
T 5
23.8%
S 4
19.0%
O 2
 
9.5%
E 2
 
9.5%
J 1
 
4.8%
G 1
 
4.8%
V 1
 
4.8%
B 1
 
4.8%
M 1
 
4.8%
C 1
 
4.8%
Other values (2) 2
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 10
76.9%
2 2
 
15.4%
4 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2300
92.0%
Common 179
 
7.2%
Latin 21
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 119
 
5.2%
스 118
 
5.1%
동 100
 
4.3%
자 97
 
4.2%
차 90
 
3.9%
카 72
 
3.1%
정 67
 
2.9%
주 66
 
2.9%
사 66
 
2.9%
서 60
 
2.6%
Other values (227) 1445
62.8%
Latin
ValueCountFrequency (%)
T 5
23.8%
S 4
19.0%
O 2
 
9.5%
E 2
 
9.5%
J 1
 
4.8%
G 1
 
4.8%
V 1
 
4.8%
B 1
 
4.8%
M 1
 
4.8%
C 1
 
4.8%
Other values (2) 2
 
9.5%
Common
ValueCountFrequency (%)
( 57
31.8%
) 57
31.8%
51
28.5%
1 10
 
5.6%
2 2
 
1.1%
4 1
 
0.6%
. 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2300
92.0%
ASCII 200
 
8.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 119
 
5.2%
스 118
 
5.1%
동 100
 
4.3%
자 97
 
4.2%
차 90
 
3.9%
카 72
 
3.1%
정 67
 
2.9%
주 66
 
2.9%
사 66
 
2.9%
서 60
 
2.6%
Other values (227) 1445
62.8%
ASCII
ValueCountFrequency (%)
( 57
28.5%
) 57
28.5%
51
25.5%
1 10
 
5.0%
T 5
 
2.5%
S 4
 
2.0%
O 2
 
1.0%
2 2
 
1.0%
E 2
 
1.0%
J 1
 
0.5%
Other values (9) 9
 
4.5%

전문정비사업소주소
Text

Distinct299
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-13T01:23:59.410087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length24.44
Min length9

Characters and Unicode

Total characters7332
Distinct characters308
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

Unique298 ?
Unique (%)99.3%

Sample

1st row경상남도 창원시 성산구 연덕로184번길 36
2nd row인천광역시 동구 염전로40번길 36
3rd row대구 동구 용계동
4th row전라남도 목포시 고하대로 801
5th row서울특별시 송파구 동남로14길 11 (가락동,협진자동차공업사)
ValueCountFrequency (%)
서울특별시 39
 
2.6%
경상남도 33
 
2.2%
경상북도 33
 
2.2%
경기도 32
 
2.2%
대구광역시 26
 
1.7%
전라남도 23
 
1.5%
창원시 18
 
1.2%
충청북도 16
 
1.1%
충청남도 14
 
0.9%
강원도 13
 
0.9%
Other values (847) 1241
83.4%
2023-12-13T01:23:59.781662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1425
 
19.4%
시 293
 
4.0%
로 281
 
3.8%
동 268
 
3.7%
1 212
 
2.9%
( 201
 
2.7%
도 201
 
2.7%
구 201
 
2.7%
) 201
 
2.7%
경 113
 
1.5%
Other values (298) 3936
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4473
61.0%
Space Separator 1425
 
19.4%
Decimal Number 939
 
12.8%
Open Punctuation 201
 
2.7%
Close Punctuation 201
 
2.7%
Other Punctuation 41
 
0.6%
Dash Punctuation 36
 
0.5%
Lowercase Letter 13
 
0.2%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 293
 
6.6%
로 281
 
6.3%
동 268
 
6.0%
도 201
 
4.5%
구 201
 
4.5%
경 113
 
2.5%
산 111
 
2.5%
남 107
 
2.4%
광 101
 
2.3%
서 96
 
2.1%
Other values (271) 2701
60.4%
Decimal Number
ValueCountFrequency (%)
1 212
22.6%
2 110
11.7%
3 109
11.6%
5 99
10.5%
4 85
9.1%
0 76
 
8.1%
7 70
 
7.5%
6 67
 
7.1%
8 60
 
6.4%
9 51
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 3
23.1%
p 2
15.4%
o 2
15.4%
t 2
15.4%
n 1
 
7.7%
i 1
 
7.7%
s 1
 
7.7%
m 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
T 1
33.3%
Q 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 39
95.1%
; 2
 
4.9%
Space Separator
ValueCountFrequency (%)
1425
100.0%
Open Punctuation
ValueCountFrequency (%)
( 201
100.0%
Close Punctuation
ValueCountFrequency (%)
) 201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4473
61.0%
Common 2843
38.8%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 293
 
6.6%
로 281
 
6.3%
동 268
 
6.0%
도 201
 
4.5%
구 201
 
4.5%
경 113
 
2.5%
산 111
 
2.5%
남 107
 
2.4%
광 101
 
2.3%
서 96
 
2.1%
Other values (271) 2701
60.4%
Common
ValueCountFrequency (%)
1425
50.1%
1 212
 
7.5%
( 201
 
7.1%
) 201
 
7.1%
2 110
 
3.9%
3 109
 
3.8%
5 99
 
3.5%
4 85
 
3.0%
0 76
 
2.7%
7 70
 
2.5%
Other values (6) 255
 
9.0%
Latin
ValueCountFrequency (%)
a 3
18.8%
p 2
12.5%
o 2
12.5%
t 2
12.5%
n 1
 
6.2%
i 1
 
6.2%
S 1
 
6.2%
s 1
 
6.2%
m 1
 
6.2%
T 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4473
61.0%
ASCII 2859
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1425
49.8%
1 212
 
7.4%
( 201
 
7.0%
) 201
 
7.0%
2 110
 
3.8%
3 109
 
3.8%
5 99
 
3.5%
4 85
 
3.0%
0 76
 
2.7%
7 70
 
2.4%
Other values (17) 271
 
9.5%
Hangul
ValueCountFrequency (%)
시 293
 
6.6%
로 281
 
6.3%
동 268
 
6.0%
도 201
 
4.5%
구 201
 
4.5%
경 113
 
2.5%
산 111
 
2.5%
남 107
 
2.4%
광 101
 
2.3%
서 96
 
2.1%
Other values (271) 2701
60.4%

연계구분
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
INS 300
100.0%

Length

2023-12-13T01:23:59.919881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:24:00.000554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ins 300
100.0%

등록일자
Date

Distinct240
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2015-02-25 00:00:00
Maximum2021-05-10 00:00:00
2023-12-13T01:24:00.094292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:24:00.245891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일자
Date

Distinct240
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
Minimum2015-02-25 00:00:00
Maximum2021-05-10 00:00:00
2023-12-13T01:24:00.367594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:24:00.506979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-13T01:24:00.816516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도시군구
시도1.0000.997
시군구0.9971.000

Missing values

2023-12-13T01:23:57.813850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:23:57.917487image/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

시도시군구전문정비사업소명전문정비사업소주소연계구분등록일자수정일자
0경상남도창원시 성산구경남정비공업사경상남도 창원시 성산구 연덕로184번길 36INS2015-02-252015-02-25
1인천광역시동구한국지엠동인천서비스센터(주)인천광역시 동구 염전로40번길 36INS2015-03-132015-03-13
2대구광역시동구성일디젤승용정비공장대구 동구 용계동INS2015-03-192015-03-19
3전라남도목포시대성종합정비공업사전라남도 목포시 고하대로 801INS2015-03-262015-03-26
4서울특별시송파구협진자동차공업사서울특별시 송파구 동남로14길 11 (가락동,협진자동차공업사)INS2018-01-032018-01-03
5경상북도포항시대잠점기아오토큐경상북도 포항시 남구 희망대로 719 (상도동)INS2018-10-152018-10-15
6부산광역시사상구(주)동방정비부산광역시 사상구 낙동대로1016번길 29INS2015-04-172015-04-17
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