Overview

Dataset statistics

Number of variables4
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory34.7 B

Variable types

Categorical1
Text3

Dataset

Description강원도 평창군 자동차정비업 현황으로 자동차관리업체의 업종, 상호명, 소재지, 전화번호에 대한 데이터를 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15116434/fileData.do

Alerts

업종 is highly imbalanced (52.6%)Imbalance

Reproduction

Analysis started2024-04-21 11:34:09.467318
Analysis finished2024-04-21 11:34:10.235192
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size504.0 B
자동차전문정비업
39 
자동차종합정비업
7 
소형자동차종합정비업
 
1

Length

Max length10
Median length8
Mean length8.0425532
Min length8

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row자동차종합정비업
2nd row자동차종합정비업
3rd row자동차전문정비업
4th row자동차전문정비업
5th row자동차전문정비업

Common Values

ValueCountFrequency (%)
자동차전문정비업 39
83.0%
자동차종합정비업 7
 
14.9%
소형자동차종합정비업 1
 
2.1%

Length

2024-04-21T20:34:10.472984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T20:34:10.805623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차전문정비업 39
83.0%
자동차종합정비업 7
 
14.9%
소형자동차종합정비업 1
 
2.1%

상호명
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-04-21T20:34:11.480962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.3191489
Min length4

Characters and Unicode

Total characters391
Distinct characters93
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)95.7%

Sample

1st row진부1급자동차정비공장
2nd row(주)평창현림1급자동차정비공장
3rd row평창밧데리
4th row애니카랜드 평창점
5th row삼일공업사
ValueCountFrequency (%)
애니카랜드 3
 
4.8%
기아오토큐 3
 
4.8%
진부점 2
 
3.2%
현대자동차 2
 
3.2%
대관령점 2
 
3.2%
평창점 2
 
3.2%
대화점 2
 
3.2%
대화대성카센터 1
 
1.6%
평창서비스 1
 
1.6%
정밀공업사 1
 
1.6%
Other values (44) 44
69.8%
2024-04-21T20:34:12.368970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
카 17
 
4.3%
대 16
 
4.1%
동 16
 
4.1%
16
 
4.1%
평 14
 
3.6%
공 14
 
3.6%
자 14
 
3.6%
차 13
 
3.3%
점 12
 
3.1%
사 12
 
3.1%
Other values (83) 247
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
93.4%
Space Separator 16
 
4.1%
Decimal Number 5
 
1.3%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 17
 
4.7%
대 16
 
4.4%
동 16
 
4.4%
평 14
 
3.8%
공 14
 
3.8%
자 14
 
3.8%
차 13
 
3.6%
점 12
 
3.3%
사 12
 
3.3%
업 11
 
3.0%
Other values (78) 226
61.9%
Space Separator
ValueCountFrequency (%)
16
100.0%
Decimal Number
ValueCountFrequency (%)
1 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
93.4%
Common 26
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 17
 
4.7%
대 16
 
4.4%
동 16
 
4.4%
평 14
 
3.8%
공 14
 
3.8%
자 14
 
3.8%
차 13
 
3.6%
점 12
 
3.3%
사 12
 
3.3%
업 11
 
3.0%
Other values (78) 226
61.9%
Common
ValueCountFrequency (%)
16
61.5%
1 5
 
19.2%
( 2
 
7.7%
) 2
 
7.7%
/ 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
93.4%
ASCII 26
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
카 17
 
4.7%
대 16
 
4.4%
동 16
 
4.4%
평 14
 
3.8%
공 14
 
3.8%
자 14
 
3.8%
차 13
 
3.6%
점 12
 
3.3%
사 12
 
3.3%
업 11
 
3.0%
Other values (78) 226
61.9%
ASCII
ValueCountFrequency (%)
16
61.5%
1 5
 
19.2%
( 2
 
7.7%
) 2
 
7.7%
/ 1
 
3.8%

소재지
Text

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-04-21T20:34:13.191597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length24.553191
Min length21

Characters and Unicode

Total characters1154
Distinct characters76
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)91.5%

Sample

1st row강원특별자치도 평창군 진부면 까치골길 15
2nd row강원특별자치도 평창군 평창읍 서동로 2793
3rd row강원특별자치도 평창군 평창읍 향교길 42
4th row강원특별자치도 평창군 평창읍 평창중앙로 249
5th row강원특별자치도 평창군 평창읍 송학로 62
ValueCountFrequency (%)
강원특별자치도 47
19.7%
평창군 47
19.7%
진부면 14
 
5.9%
평창읍 8
 
3.3%
대관령면 8
 
3.3%
대화면 7
 
2.9%
경강로 6
 
2.5%
대화중앙로 4
 
1.7%
용평면 4
 
1.7%
진부중앙로 4
 
1.7%
Other values (76) 90
37.7%
2024-04-21T20:34:14.315673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
192
 
16.6%
평 67
 
5.8%
창 58
 
5.0%
강 54
 
4.7%
치 48
 
4.2%
군 48
 
4.2%
자 47
 
4.1%
도 47
 
4.1%
별 47
 
4.1%
특 47
 
4.1%
Other values (66) 499
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 809
70.1%
Space Separator 192
 
16.6%
Decimal Number 143
 
12.4%
Dash Punctuation 10
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 67
 
8.3%
창 58
 
7.2%
강 54
 
6.7%
치 48
 
5.9%
군 48
 
5.9%
자 47
 
5.8%
도 47
 
5.8%
별 47
 
5.8%
특 47
 
5.8%
원 47
 
5.8%
Other values (54) 299
37.0%
Decimal Number
ValueCountFrequency (%)
1 34
23.8%
6 19
13.3%
2 18
12.6%
4 16
11.2%
3 14
9.8%
8 11
 
7.7%
9 11
 
7.7%
5 10
 
7.0%
7 8
 
5.6%
0 2
 
1.4%
Space Separator
ValueCountFrequency (%)
192
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 809
70.1%
Common 345
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 67
 
8.3%
창 58
 
7.2%
강 54
 
6.7%
치 48
 
5.9%
군 48
 
5.9%
자 47
 
5.8%
도 47
 
5.8%
별 47
 
5.8%
특 47
 
5.8%
원 47
 
5.8%
Other values (54) 299
37.0%
Common
ValueCountFrequency (%)
192
55.7%
1 34
 
9.9%
6 19
 
5.5%
2 18
 
5.2%
4 16
 
4.6%
3 14
 
4.1%
8 11
 
3.2%
9 11
 
3.2%
- 10
 
2.9%
5 10
 
2.9%
Other values (2) 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 809
70.1%
ASCII 345
29.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
192
55.7%
1 34
 
9.9%
6 19
 
5.5%
2 18
 
5.2%
4 16
 
4.6%
3 14
 
4.1%
8 11
 
3.2%
9 11
 
3.2%
- 10
 
2.9%
5 10
 
2.9%
Other values (2) 10
 
2.9%
Hangul
ValueCountFrequency (%)
평 67
 
8.3%
창 58
 
7.2%
강 54
 
6.7%
치 48
 
5.9%
군 48
 
5.9%
자 47
 
5.8%
도 47
 
5.8%
별 47
 
5.8%
특 47
 
5.8%
원 47
 
5.8%
Other values (54) 299
37.0%

전화번호
Text

Distinct46
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-04-21T20:34:15.156890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters564
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

Unique45 ?
Unique (%)95.7%

Sample

1st row033-336-0281
2nd row033-333-6464
3rd row033-332-2851
4th row033-333-0500
5th row033-332-2560
ValueCountFrequency (%)
033-336-7282 2
 
4.3%
033-334-9701 1
 
2.1%
033-366-8277 1
 
2.1%
033-334-0143 1
 
2.1%
033-335-0024 1
 
2.1%
033-334-2525 1
 
2.1%
033-334-3001 1
 
2.1%
033-332-6212 1
 
2.1%
033-336-6610 1
 
2.1%
033-333-1925 1
 
2.1%
Other values (36) 36
76.6%
2024-04-21T20:34:16.349644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 206
36.5%
- 94
16.7%
0 77
 
13.7%
5 37
 
6.6%
2 31
 
5.5%
6 25
 
4.4%
8 22
 
3.9%
4 20
 
3.5%
1 19
 
3.4%
9 17
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 470
83.3%
Dash Punctuation 94
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 206
43.8%
0 77
 
16.4%
5 37
 
7.9%
2 31
 
6.6%
6 25
 
5.3%
8 22
 
4.7%
4 20
 
4.3%
1 19
 
4.0%
9 17
 
3.6%
7 16
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 564
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 206
36.5%
- 94
16.7%
0 77
 
13.7%
5 37
 
6.6%
2 31
 
5.5%
6 25
 
4.4%
8 22
 
3.9%
4 20
 
3.5%
1 19
 
3.4%
9 17
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 206
36.5%
- 94
16.7%
0 77
 
13.7%
5 37
 
6.6%
2 31
 
5.5%
6 25
 
4.4%
8 22
 
3.9%
4 20
 
3.5%
1 19
 
3.4%
9 17
 
3.0%

Correlations

2024-04-21T20:34:16.611177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종상호명소재지전화번호
업종1.0000.0000.0000.000
상호명0.0001.0001.0001.000
소재지0.0001.0001.0001.000
전화번호0.0001.0001.0001.000

Missing values

2024-04-21T20:34:09.847247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T20:34:10.125831image/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

업종상호명소재지전화번호
0자동차종합정비업진부1급자동차정비공장강원특별자치도 평창군 진부면 까치골길 15033-336-0281
1자동차종합정비업(주)평창현림1급자동차정비공장강원특별자치도 평창군 평창읍 서동로 2793033-333-6464
2자동차전문정비업평창밧데리강원특별자치도 평창군 평창읍 향교길 42033-332-2851
3자동차전문정비업애니카랜드 평창점강원특별자치도 평창군 평창읍 평창중앙로 249033-333-0500
4자동차전문정비업삼일공업사강원특별자치도 평창군 평창읍 송학로 62033-332-2560
5자동차전문정비업평창점 현대자동차강원특별자치도 평창군 평창읍 서동로 2553033-332-0907
6자동차전문정비업평창카센타강원특별자치도 평창군 평창읍 노성로 273033-333-1662
7자동차전문정비업기아자동차공업사강원특별자치도 평창군 평창읍 군청길 31033-334-5556
8자동차전문정비업삼성카센터강원특별자치도 평창군 진부면 하진부리 28번지 17호033-333-0951
9자동차전문정비업태원카센타강원특별자치도 평창군 진부면 하진부리 24번지033-335-8582
업종상호명소재지전화번호
37자동차전문정비업대화밧데리강원특별자치도 평창군 대화면 대화리 948-2033-333-8809
38자동차전문정비업진영카센타강원특별자치도 평창군 대관령면 올림픽로 43-1033-335-5284
39자동차종합정비업평창1급자동차공업사강원특별자치도 평창군 평창읍 하평길 99033-332-7884
40자동차전문정비업횡계점 기아오토큐강원특별자치도 평창군 대관령면 올림픽로 16033-335-8591
41소형자동차종합정비업애니카랜드 대관령점강원특별자치도 평창군 대관령면 경강로 5166033-336-7282
42자동차종합정비업대관령 모터스강원특별자치도 평창군 대관령면 횡계리 377번지 284호033-335-5511
43자동차전문정비업횡계밧데리강원특별자치도 평창군 대관령면 반장골길 9-6033-335-6330
44자동차전문정비업현대카클리닉(한국타이어대관령올림픽점)강원특별자치도 평창군 대관령면 대관령로 74-3033-366-8277
45자동차전문정비업애니카랜드 대관령점강원특별자치도 평창군 대관령면 경강로 5166033-336-7282
46자동차전문정비업대관령농협 농기계/자동차부분정비 센터강원특별자치도 평창군 대관령면 경강로 5161033-335-5969