Overview

Dataset statistics

Number of variables6
Number of observations54
Missing cells27
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory50.4 B

Variable types

Categorical2
Text3
DateTime1

Dataset

Description제주특별자치도 내 전기이륜차 접수처와 관련한 데이터로 제조수입사, 제조수입사연락처, 도내접수처업체명, 도내접수처연락처 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15048680/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
제작수입사연락처 is highly overall correlated with 제작수입사명High correlation
제작수입사명 is highly overall correlated with 제작수입사연락처High correlation
도내접수처연락처 has 27 (50.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:04:29.910428
Analysis finished2023-12-12 19:04:30.467740
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제작수입사명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size564.0 B
케이알모터스
13 
앨비
9 
디앤에이모터스
8 
더좋은사람
5 
킴스트
4 
Other values (10)
15 

Length

Max length11
Median length8.5
Mean length5.0740741
Min length2

Unique

Unique5 ?
Unique (%)9.3%

Sample

1st row시엔케이
2nd row시엔케이
3rd row앨비
4th row앨비
5th row앨비

Common Values

ValueCountFrequency (%)
케이알모터스 13
24.1%
앨비 9
16.7%
디앤에이모터스 8
14.8%
더좋은사람 5
 
9.3%
킴스트 4
 
7.4%
시엔케이 2
 
3.7%
엠비아이 2
 
3.7%
인에이블인터내셔널 2
 
3.7%
지에스모터스 2
 
3.7%
에임스 2
 
3.7%
Other values (5) 5
 
9.3%

Length

2023-12-13T04:04:30.568594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
케이알모터스 13
23.2%
앨비 9
16.1%
디앤에이모터스 8
14.3%
더좋은사람 5
 
8.9%
킴스트 4
 
7.1%
인에이블인터내셔널 2
 
3.6%
에임스 2
 
3.6%
지에스모터스 2
 
3.6%
엠비아이 2
 
3.6%
시엔케이 2
 
3.6%
Other values (7) 7
12.5%

제작수입사연락처
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Memory size564.0 B
055-282-7011
13 
1566-4581
9 
1588-0095
8 
02-511-1249
5 
1566-8508
4 
Other values (10)
15 

Length

Max length13
Median length12
Mean length10.518519
Min length9

Unique

Unique5 ?
Unique (%)9.3%

Sample

1st row054-977-0204
2nd row054-977-0204
3rd row1566-4581
4th row1566-4581
5th row1566-4581

Common Values

ValueCountFrequency (%)
055-282-7011 13
24.1%
1566-4581 9
16.7%
1588-0095 8
14.8%
02-511-1249 5
 
9.3%
1566-8508 4
 
7.4%
054-977-0204 2
 
3.7%
043-274-9701 2
 
3.7%
02-6238-8585 2
 
3.7%
031-977-0698 2
 
3.7%
1666-9082 2
 
3.7%
Other values (5) 5
 
9.3%

Length

2023-12-13T04:04:30.745648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
055-282-7011 13
24.1%
1566-4581 9
16.7%
1588-0095 8
14.8%
02-511-1249 5
 
9.3%
1566-8508 4
 
7.4%
054-977-0204 2
 
3.7%
043-274-9701 2
 
3.7%
02-6238-8585 2
 
3.7%
031-977-0698 2
 
3.7%
1666-9082 2
 
3.7%
Other values (5) 5
 
9.3%

도내접수처업체명
Text

Distinct44
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:04:31.059069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.3888889
Min length4

Characters and Unicode

Total characters345
Distinct characters78
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)70.4%

Sample

1st row하귀 금성오토바이
2nd row이원오토바이
3rd row서울오토바이
4th row신창대림오토바이
5th row고산오토바이
ValueCountFrequency (%)
제주바이크 6
 
10.2%
대림자동차 3
 
5.1%
삼성모터샵 2
 
3.4%
삼양오토바이 2
 
3.4%
서울오토바이 2
 
3.4%
고산오토바이 2
 
3.4%
제주대리점 2
 
3.4%
제주는스쿠터다2 1
 
1.7%
제주동행 1
 
1.7%
하귀 1
 
1.7%
Other values (37) 37
62.7%
2023-12-13T04:04:31.510682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 40
 
11.6%
바 36
 
10.4%
오 28
 
8.1%
토 27
 
7.8%
제 17
 
4.9%
주 15
 
4.3%
대 12
 
3.5%
터 11
 
3.2%
모 10
 
2.9%
스 9
 
2.6%
Other values (68) 140
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
96.5%
Space Separator 5
 
1.4%
Uppercase Letter 3
 
0.9%
Other Symbol 2
 
0.6%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 40
 
12.0%
바 36
 
10.8%
오 28
 
8.4%
토 27
 
8.1%
제 17
 
5.1%
주 15
 
4.5%
대 12
 
3.6%
터 11
 
3.3%
모 10
 
3.0%
스 9
 
2.7%
Other values (61) 128
38.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
S 1
33.3%
B 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
97.1%
Common 7
 
2.0%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 40
 
11.9%
바 36
 
10.7%
오 28
 
8.4%
토 27
 
8.1%
제 17
 
5.1%
주 15
 
4.5%
대 12
 
3.6%
터 11
 
3.3%
모 10
 
3.0%
스 9
 
2.7%
Other values (62) 130
38.8%
Common
ValueCountFrequency (%)
5
71.4%
2 1
 
14.3%
8 1
 
14.3%
Latin
ValueCountFrequency (%)
K 1
33.3%
S 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
96.5%
ASCII 10
 
2.9%
None 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 40
 
12.0%
바 36
 
10.8%
오 28
 
8.4%
토 27
 
8.1%
제 17
 
5.1%
주 15
 
4.5%
대 12
 
3.6%
터 11
 
3.3%
모 10
 
3.0%
스 9
 
2.7%
Other values (61) 128
38.4%
ASCII
ValueCountFrequency (%)
5
50.0%
2 1
 
10.0%
K 1
 
10.0%
S 1
 
10.0%
8 1
 
10.0%
B 1
 
10.0%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도내접수처주소
Text

Distinct47
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T04:04:31.854088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.407407
Min length18

Characters and Unicode

Total characters1210
Distinct characters91
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

Unique41 ?
Unique (%)75.9%

Sample

1st row제주특별자치도 제주시 애월읍 애월해안로 967
2nd row제주특별자치도 제주시 우도면 우도로 194
3rd row제주특별자치도 제주시 한림읍 명랑로 37-2
4th row제주특별자치도 제주시 한경면 신두로 21-2
5th row제주특별자치도 제주시 한림면 고산리 2921-1
ValueCountFrequency (%)
제주특별자치도 54
22.9%
제주시 43
18.2%
서귀포시 11
 
4.7%
남성로 5
 
2.1%
애월읍 4
 
1.7%
중앙로 3
 
1.3%
158 3
 
1.3%
구좌읍 3
 
1.3%
구남로 3
 
1.3%
노형로 2
 
0.8%
Other values (83) 105
44.5%
2023-12-13T04:04:32.321013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
15.5%
제 100
 
8.3%
주 99
 
8.2%
도 64
 
5.3%
특 54
 
4.5%
별 54
 
4.5%
자 54
 
4.5%
치 54
 
4.5%
시 54
 
4.5%
로 46
 
3.8%
Other values (81) 443
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 829
68.5%
Space Separator 188
 
15.5%
Decimal Number 163
 
13.5%
Dash Punctuation 14
 
1.2%
Open Punctuation 8
 
0.7%
Close Punctuation 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 100
12.1%
주 99
11.9%
도 64
 
7.7%
특 54
 
6.5%
별 54
 
6.5%
자 54
 
6.5%
치 54
 
6.5%
시 54
 
6.5%
로 46
 
5.5%
서 17
 
2.1%
Other values (67) 233
28.1%
Decimal Number
ValueCountFrequency (%)
1 31
19.0%
2 21
12.9%
3 19
11.7%
8 17
10.4%
7 15
9.2%
4 14
8.6%
5 14
8.6%
9 13
8.0%
6 11
 
6.7%
0 8
 
4.9%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 829
68.5%
Common 381
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 100
12.1%
주 99
11.9%
도 64
 
7.7%
특 54
 
6.5%
별 54
 
6.5%
자 54
 
6.5%
치 54
 
6.5%
시 54
 
6.5%
로 46
 
5.5%
서 17
 
2.1%
Other values (67) 233
28.1%
Common
ValueCountFrequency (%)
188
49.3%
1 31
 
8.1%
2 21
 
5.5%
3 19
 
5.0%
8 17
 
4.5%
7 15
 
3.9%
4 14
 
3.7%
- 14
 
3.7%
5 14
 
3.7%
9 13
 
3.4%
Other values (4) 35
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 829
68.5%
ASCII 381
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
49.3%
1 31
 
8.1%
2 21
 
5.5%
3 19
 
5.0%
8 17
 
4.5%
7 15
 
3.9%
4 14
 
3.7%
- 14
 
3.7%
5 14
 
3.7%
9 13
 
3.4%
Other values (4) 35
 
9.2%
Hangul
ValueCountFrequency (%)
제 100
12.1%
주 99
11.9%
도 64
 
7.7%
특 54
 
6.5%
별 54
 
6.5%
자 54
 
6.5%
치 54
 
6.5%
시 54
 
6.5%
로 46
 
5.5%
서 17
 
2.1%
Other values (67) 233
28.1%

도내접수처연락처
Text

MISSING 

Distinct22
Distinct (%)81.5%
Missing27
Missing (%)50.0%
Memory size564.0 B
2023-12-13T04:04:32.609332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique18 ?
Unique (%)66.7%

Sample

1st row064-713-1929
2nd row064-756-5282
3rd row064-759-0957
4th row064-756-5282
5th row064-758-5211
ValueCountFrequency (%)
064-758-5211 3
 
11.1%
064-759-0957 2
 
7.4%
064-753-5711 2
 
7.4%
064-756-5282 2
 
7.4%
064-767-2108 1
 
3.7%
064-713-1929 1
 
3.7%
064-787-0017 1
 
3.7%
064-725-5511 1
 
3.7%
064-742-4676 1
 
3.7%
064-772-2586 1
 
3.7%
Other values (12) 12
44.4%
2023-12-13T04:04:32.987845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 54
16.7%
0 50
15.4%
7 38
11.7%
4 36
11.1%
6 35
10.8%
5 31
9.6%
1 22
6.8%
2 20
 
6.2%
8 16
 
4.9%
3 12
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
18.5%
7 38
14.1%
4 36
13.3%
6 35
13.0%
5 31
11.5%
1 22
8.1%
2 20
 
7.4%
8 16
 
5.9%
3 12
 
4.4%
9 10
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 54
16.7%
0 50
15.4%
7 38
11.7%
4 36
11.1%
6 35
10.8%
5 31
9.6%
1 22
6.8%
2 20
 
6.2%
8 16
 
4.9%
3 12
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 54
16.7%
0 50
15.4%
7 38
11.7%
4 36
11.1%
6 35
10.8%
5 31
9.6%
1 22
6.8%
2 20
 
6.2%
8 16
 
4.9%
3 12
 
3.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2023-08-07 00:00:00
Maximum2023-08-07 00:00:00
2023-12-13T04:04:33.121587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:04:33.238893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T04:04:33.327538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제작수입사명제작수입사연락처도내접수처업체명도내접수처주소도내접수처연락처
제작수입사명1.0001.0000.0000.0000.000
제작수입사연락처1.0001.0000.0000.0000.000
도내접수처업체명0.0000.0001.0000.9960.985
도내접수처주소0.0000.0000.9961.0001.000
도내접수처연락처0.0000.0000.9851.0001.000
2023-12-13T04:04:33.448363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제작수입사연락처제작수입사명
제작수입사연락처1.0001.000
제작수입사명1.0001.000
2023-12-13T04:04:33.558908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제작수입사명제작수입사연락처
제작수입사명1.0001.000
제작수입사연락처1.0001.000

Missing values

2023-12-13T04:04:30.282885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:04:30.415773image/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

제작수입사명제작수입사연락처도내접수처업체명도내접수처주소도내접수처연락처데이터기준일자
0시엔케이054-977-0204하귀 금성오토바이제주특별자치도 제주시 애월읍 애월해안로 967064-713-19292023-08-07
1시엔케이054-977-0204이원오토바이제주특별자치도 제주시 우도면 우도로 194<NA>2023-08-07
2앨비1566-4581서울오토바이제주특별자치도 제주시 한림읍 명랑로 37-2<NA>2023-08-07
3앨비1566-4581신창대림오토바이제주특별자치도 제주시 한경면 신두로 21-2<NA>2023-08-07
4앨비1566-4581고산오토바이제주특별자치도 제주시 한림면 고산리 2921-1<NA>2023-08-07
5앨비1566-4581성산현대오토바이제주특별자치도 제주시 성산읍 동류암로 43<NA>2023-08-07
6앨비1566-4581세화현대오토바이제주특별자치도 제주시 구좌읍 세화리 3648-2<NA>2023-08-07
7앨비1566-4581극동모터스제주특별자치도 제주시 조천읍 신북로 277<NA>2023-08-07
8앨비1566-4581효돈삼화오토바이제주특별자치도 서귀포시 효돈로 191-1<NA>2023-08-07
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44케이알모터스055-282-7011삼화오토바이제주특별자치도 서귀포시 효돈로 191-1번지064-767-21082023-08-07
45케이알모터스055-282-7011동남오토바이제주특별자치도 서귀포시 성산읍 고성동서로 54064-782-08072023-08-07
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