Overview

Dataset statistics

Number of variables3
Number of observations624
Missing cells36
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.8 KiB
Average record size in memory24.2 B

Variable types

Text3

Dataset

Description운행 자동차 중 배출가스를 과다 배출하는 자동차에 대한 엄격하게 정비내역을 관리하여, 실질적으로 자동차 배출가스 정비를 유도 하기 위한 운행 자동차 전문정비사업자의 현황 자료입니다.(전문정비사업자 명, 전문정비사업자 주소, 전문정비사업자 전화번호)
Author한국환경공단
URLhttps://www.data.go.kr/data/15051270/fileData.do

Alerts

연락처 has 36 (5.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 05:03:06.174573
Analysis finished2023-12-12 05:03:06.744932
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct623
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-12T14:03:06.914367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length8.9214744
Min length2

Characters and Unicode

Total characters5567
Distinct characters332
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique622 ?
Unique (%)99.7%

Sample

1st row(유)광주커먼레일일급정비
2nd row(유)나주청동자동차공업사
3rd row(유)삼일자동차공업사
4th row(유)세명자동차공업사
5th row(유)신여천자동차공업사
ValueCountFrequency (%)
애니카랜드 14
 
1.9%
주식회사 12
 
1.6%
스피드메이트 9
 
1.2%
기아오토큐 7
 
0.9%
제이디피모터스 6
 
0.8%
현대자동차 6
 
0.8%
현대자동차(주 5
 
0.7%
주)한독모터스 4
 
0.5%
대우오창정비사업소(주 2
 
0.3%
주 2
 
0.3%
Other values (663) 671
90.9%
2023-12-12T14:03:07.422568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 242
 
4.3%
동 241
 
4.3%
스 232
 
4.2%
주 224
 
4.0%
자 223
 
4.0%
차 213
 
3.8%
( 202
 
3.6%
) 202
 
3.6%
사 163
 
2.9%
업 149
 
2.7%
Other values (322) 3476
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4964
89.2%
Open Punctuation 202
 
3.6%
Close Punctuation 202
 
3.6%
Space Separator 115
 
2.1%
Uppercase Letter 45
 
0.8%
Decimal Number 26
 
0.5%
Lowercase Letter 5
 
0.1%
Other Punctuation 3
 
0.1%
Connector Punctuation 2
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 242
 
4.9%
동 241
 
4.9%
스 232
 
4.7%
주 224
 
4.5%
자 223
 
4.5%
차 213
 
4.3%
사 163
 
3.3%
업 149
 
3.0%
정 146
 
2.9%
공 140
 
2.8%
Other values (286) 2991
60.3%
Uppercase Letter
ValueCountFrequency (%)
T 9
20.0%
S 8
17.8%
E 4
8.9%
K 3
 
6.7%
J 3
 
6.7%
C 3
 
6.7%
P 2
 
4.4%
M 2
 
4.4%
O 2
 
4.4%
A 1
 
2.2%
Other values (8) 8
17.8%
Decimal Number
ValueCountFrequency (%)
1 21
80.8%
2 2
 
7.7%
9 1
 
3.8%
4 1
 
3.8%
3 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
n 2
40.0%
s 1
20.0%
y 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
' 1
33.3%
, 1
33.3%
. 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 202
100.0%
Space Separator
ValueCountFrequency (%)
115
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4966
89.2%
Common 551
 
9.9%
Latin 50
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 242
 
4.9%
동 241
 
4.9%
스 232
 
4.7%
주 224
 
4.5%
자 223
 
4.5%
차 213
 
4.3%
사 163
 
3.3%
업 149
 
3.0%
정 146
 
2.9%
공 140
 
2.8%
Other values (287) 2993
60.3%
Latin
ValueCountFrequency (%)
T 9
18.0%
S 8
16.0%
E 4
 
8.0%
K 3
 
6.0%
J 3
 
6.0%
C 3
 
6.0%
P 2
 
4.0%
n 2
 
4.0%
M 2
 
4.0%
O 2
 
4.0%
Other values (12) 12
24.0%
Common
ValueCountFrequency (%)
( 202
36.7%
) 202
36.7%
115
20.9%
1 21
 
3.8%
_ 2
 
0.4%
2 2
 
0.4%
' 1
 
0.2%
9 1
 
0.2%
, 1
 
0.2%
4 1
 
0.2%
Other values (3) 3
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4964
89.2%
ASCII 601
 
10.8%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 242
 
4.9%
동 241
 
4.9%
스 232
 
4.7%
주 224
 
4.5%
자 223
 
4.5%
차 213
 
4.3%
사 163
 
3.3%
업 149
 
3.0%
정 146
 
2.9%
공 140
 
2.8%
Other values (286) 2991
60.3%
ASCII
ValueCountFrequency (%)
( 202
33.6%
) 202
33.6%
115
19.1%
1 21
 
3.5%
T 9
 
1.5%
S 8
 
1.3%
E 4
 
0.7%
K 3
 
0.5%
J 3
 
0.5%
C 3
 
0.5%
Other values (25) 31
 
5.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

주소
Text

Distinct616
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2023-12-12T14:03:07.781756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length45
Mean length29.434295
Min length1

Characters and Unicode

Total characters18367
Distinct characters427
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique610 ?
Unique (%)97.8%

Sample

1st row광주광역시 광산구 동곡로 675-11 (송촌동) (유)광주커먼레일일급정비
2nd row전라남도 나주시 청동길 151 (청동,청동공업사) (유)나주청동자동차공업사
3rd row전라북도 전주시 덕진구 신행로 65
4th row전라북도 군산시 해망로 528 (소룡동) 세명자동차공업사
5th row전라남도 여수시 여수산단로 327 (평여동) (유)신여천자동차공업사
ValueCountFrequency (%)
서울특별시 110
 
3.1%
경기도 90
 
2.5%
경상북도 55
 
1.6%
경상남도 52
 
1.5%
대구광역시 48
 
1.4%
전라남도 36
 
1.0%
충청남도 33
 
0.9%
대전광역시 26
 
0.7%
강원도 26
 
0.7%
인천광역시 25
 
0.7%
Other values (1826) 3035
85.8%
2023-12-12T14:03:08.334713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3432
 
18.7%
동 628
 
3.4%
시 623
 
3.4%
로 591
 
3.2%
1 492
 
2.7%
구 459
 
2.5%
도 411
 
2.2%
( 397
 
2.2%
) 396
 
2.2%
서 284
 
1.5%
Other values (417) 10654
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11728
63.9%
Space Separator 3432
 
18.7%
Decimal Number 2179
 
11.9%
Open Punctuation 397
 
2.2%
Close Punctuation 396
 
2.2%
Dash Punctuation 102
 
0.6%
Other Punctuation 80
 
0.4%
Uppercase Letter 37
 
0.2%
Lowercase Letter 10
 
0.1%
Math Symbol 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 628
 
5.4%
시 623
 
5.3%
로 591
 
5.0%
구 459
 
3.9%
도 411
 
3.5%
서 284
 
2.4%
대 273
 
2.3%
경 233
 
2.0%
광 224
 
1.9%
남 220
 
1.9%
Other values (370) 7782
66.4%
Uppercase Letter
ValueCountFrequency (%)
S 7
18.9%
J 4
10.8%
K 3
 
8.1%
B 3
 
8.1%
L 2
 
5.4%
M 2
 
5.4%
T 2
 
5.4%
G 2
 
5.4%
E 2
 
5.4%
D 2
 
5.4%
Other values (8) 8
21.6%
Decimal Number
ValueCountFrequency (%)
1 492
22.6%
2 279
12.8%
3 265
12.2%
5 189
 
8.7%
4 189
 
8.7%
7 173
 
7.9%
6 166
 
7.6%
0 164
 
7.5%
8 141
 
6.5%
9 121
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
a 2
20.0%
o 2
20.0%
t 2
20.0%
n 1
10.0%
i 1
10.0%
s 1
10.0%
p 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 64
80.0%
. 13
 
16.2%
· 1
 
1.2%
; 1
 
1.2%
& 1
 
1.2%
Space Separator
ValueCountFrequency (%)
3432
100.0%
Open Punctuation
ValueCountFrequency (%)
( 397
100.0%
Close Punctuation
ValueCountFrequency (%)
) 396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11729
63.9%
Common 6591
35.9%
Latin 47
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 628
 
5.4%
시 623
 
5.3%
로 591
 
5.0%
구 459
 
3.9%
도 411
 
3.5%
서 284
 
2.4%
대 273
 
2.3%
경 233
 
2.0%
광 224
 
1.9%
남 220
 
1.9%
Other values (371) 7783
66.4%
Latin
ValueCountFrequency (%)
S 7
 
14.9%
J 4
 
8.5%
K 3
 
6.4%
B 3
 
6.4%
L 2
 
4.3%
M 2
 
4.3%
T 2
 
4.3%
a 2
 
4.3%
o 2
 
4.3%
t 2
 
4.3%
Other values (15) 18
38.3%
Common
ValueCountFrequency (%)
3432
52.1%
1 492
 
7.5%
( 397
 
6.0%
) 396
 
6.0%
2 279
 
4.2%
3 265
 
4.0%
5 189
 
2.9%
4 189
 
2.9%
7 173
 
2.6%
6 166
 
2.5%
Other values (11) 613
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11728
63.9%
ASCII 6637
36.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3432
51.7%
1 492
 
7.4%
( 397
 
6.0%
) 396
 
6.0%
2 279
 
4.2%
3 265
 
4.0%
5 189
 
2.8%
4 189
 
2.8%
7 173
 
2.6%
6 166
 
2.5%
Other values (35) 659
 
9.9%
Hangul
ValueCountFrequency (%)
동 628
 
5.4%
시 623
 
5.3%
로 591
 
5.0%
구 459
 
3.9%
도 411
 
3.5%
서 284
 
2.4%
대 273
 
2.3%
경 233
 
2.0%
광 224
 
1.9%
남 220
 
1.9%
Other values (370) 7782
66.4%
None
ValueCountFrequency (%)
· 1
50.0%
㈜ 1
50.0%

연락처
Text

MISSING 

Distinct571
Distinct (%)97.1%
Missing36
Missing (%)5.8%
Memory size5.0 KiB
2023-12-12T14:03:08.604147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.877551
Min length11

Characters and Unicode

Total characters6984
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique555 ?
Unique (%)94.4%

Sample

1st row062-943-2093
2nd row061-334-1888
3rd row063-211-3100
4th row063-467-0303
5th row061-685-5773
ValueCountFrequency (%)
053-962-7692 3
 
0.5%
063-211-3100 2
 
0.3%
032-884-4001 2
 
0.3%
031-206-5151 2
 
0.3%
051-315-9922 2
 
0.3%
031-762-6780 2
 
0.3%
033-742-9149 2
 
0.3%
02-872-7713 2
 
0.3%
031-745-0113 2
 
0.3%
033-252-0864 2
 
0.3%
Other values (561) 567
96.4%
2023-12-12T14:03:09.148330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1176
16.8%
0 1039
14.9%
5 689
9.9%
3 675
9.7%
2 665
9.5%
1 578
8.3%
4 523
7.5%
6 490
7.0%
7 451
 
6.5%
8 402
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5808
83.2%
Dash Punctuation 1176
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1039
17.9%
5 689
11.9%
3 675
11.6%
2 665
11.4%
1 578
10.0%
4 523
9.0%
6 490
8.4%
7 451
7.8%
8 402
 
6.9%
9 296
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 1176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6984
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1176
16.8%
0 1039
14.9%
5 689
9.9%
3 675
9.7%
2 665
9.5%
1 578
8.3%
4 523
7.5%
6 490
7.0%
7 451
 
6.5%
8 402
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6984
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1176
16.8%
0 1039
14.9%
5 689
9.9%
3 675
9.7%
2 665
9.5%
1 578
8.3%
4 523
7.5%
6 490
7.0%
7 451
 
6.5%
8 402
 
5.8%

Missing values

2023-12-12T14:03:06.627321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:03:06.712755image/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

업체명주소연락처
0(유)광주커먼레일일급정비광주광역시 광산구 동곡로 675-11 (송촌동) (유)광주커먼레일일급정비062-943-2093
1(유)나주청동자동차공업사전라남도 나주시 청동길 151 (청동,청동공업사) (유)나주청동자동차공업사061-334-1888
2(유)삼일자동차공업사전라북도 전주시 덕진구 신행로 65063-211-3100
3(유)세명자동차공업사전라북도 군산시 해망로 528 (소룡동) 세명자동차공업사063-467-0303
4(유)신여천자동차공업사전라남도 여수시 여수산단로 327 (평여동) (유)신여천자동차공업사061-685-5773
5(유)영흥자동차써비스전라남도 목포시 삼학로 222-4 (산정동) (유)영흥자동차써비스061-243-2600
6(유)한성모터스전라북도 전주시 덕진구 서귀로 18 팔복동2가063-211-5154
7(유)현대자동차 에이치디서비스전라북도 전주시 덕진구 추천로 91-5063-212-4040
8(유)현대자동차서비스하당점전라남도 목포시 교육로 98 (상동,현대카크리닉센터) (유)현대자동차서비스하당점061-283-8272
9(자)세기자동차인천광역시 미추홀구 아암대로253번길 35 (학익동,세기자동차) (자)세기자동차032-831-3301
업체명주소연락처
614현대하이모터스경기도 의정부시 평화로 359 (호원동,회룡한주아파트) 현대하이모터스031-878-0877
615현성정비경상남도 창원시 의창구 무역로581번길 42-15055-237-0073
616협신자동차공업사경기도 구리시 경춘로 162번길 10031-562-6500
617협진모터스서울특별시 송파구 동남로14길 11 (가락동,협진자동차공업사) 가락동 196-902-409-4000
618형제자동차공업사경기도 부천시 오정구 오정로 107032-672-2311
619호림자동차검사정비대구광역시 달서구 성서공단로 11길 9 호림자동차검사정비053-593-0025
620홍박사자동차공업사경기도 고양시 일산동구 성석로 118 (성석동) 1동031-977-1487
621홍성자동차종합검사소 1급 정원공업사충청남도 홍성군 금마면 금마로 71041-634-6266
622화산자동차공업사충청남도 보령시 대청로 397 (화산동) 화산자동차공업사041-931-2993
623화양검사정비사업소서울특별시 성동구 광나루로 320-202-469-3611