Overview

Dataset statistics

Number of variables5
Number of observations177
Missing cells27
Missing cells (%)3.1%
Duplicate rows1
Duplicate rows (%)0.6%
Total size in memory7.0 KiB
Average record size in memory40.7 B

Variable types

Categorical2
Text3

Dataset

Description경상남도 자동차 대여 업체 현황으로, 자동차 대여 업체 소재 시군명, 업체명, 전화번호, 주소 등에 관한 정보를 제공합니다. ※ 전화번호 항목은 보유 데이터만 기입되었음을 안내 드립니다.
URLhttps://www.data.go.kr/data/3083238/fileData.do

Alerts

Dataset has 1 (0.6%) duplicate rowsDuplicates
전화번호 has 27 (15.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 02:51:51.896617
Analysis finished2023-12-12 02:51:52.379615
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct17
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
창원시
32 
진주시
31 
김해시
31 
거제시
18 
양산시
17 
Other values (12)
48 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 32
18.1%
진주시 31
17.5%
김해시 31
17.5%
거제시 18
10.2%
양산시 17
9.6%
통영시 9
 
5.1%
고성군 7
 
4.0%
밀양시 5
 
2.8%
하동군 4
 
2.3%
함양군 4
 
2.3%
Other values (7) 19
10.7%

Length

2023-12-12T11:51:52.457493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 32
18.1%
김해시 31
17.5%
진주시 31
17.5%
거제시 18
10.2%
양산시 17
9.6%
통영시 9
 
5.1%
고성군 7
 
4.0%
밀양시 5
 
2.8%
함안군 4
 
2.3%
사천시 4
 
2.3%
Other values (7) 19
10.7%

업체명
Text

Distinct157
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T11:51:52.661465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.4632768
Min length2

Characters and Unicode

Total characters1498
Distinct characters148
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)80.2%

Sample

1st row(주)힐튼렌터카
2nd row(주)행운렌트카
3rd row가자렌트카(주)
4th row(주)장풍물류렌트카
5th row(주)한찬코리아
ValueCountFrequency (%)
진주지점 15
 
7.2%
㈜뉴하이렌트카 6
 
2.9%
㈜쏘카 5
 
2.4%
㈜서경렌트카 5
 
2.4%
서진주지점 3
 
1.4%
하동영업소 3
 
1.4%
㈜세종통운 3
 
1.4%
㈜응카 3
 
1.4%
㈜조은렌트카 3
 
1.4%
㈜한성렌터카 3
 
1.4%
Other values (141) 159
76.4%
2023-12-12T11:51:53.089571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
카 151
 
10.1%
렌 140
 
9.3%
트 119
 
7.9%
㈜ 111
 
7.4%
) 65
 
4.3%
( 65
 
4.3%
주 59
 
3.9%
업 35
 
2.3%
34
 
2.3%
영 34
 
2.3%
Other values (138) 685
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1222
81.6%
Other Symbol 111
 
7.4%
Close Punctuation 65
 
4.3%
Open Punctuation 65
 
4.3%
Space Separator 34
 
2.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 151
 
12.4%
렌 140
 
11.5%
트 119
 
9.7%
주 59
 
4.8%
업 35
 
2.9%
영 34
 
2.8%
소 33
 
2.7%
이 32
 
2.6%
해 26
 
2.1%
점 24
 
2.0%
Other values (133) 569
46.6%
Other Symbol
ValueCountFrequency (%)
㈜ 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1333
89.0%
Common 165
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 151
 
11.3%
렌 140
 
10.5%
트 119
 
8.9%
㈜ 111
 
8.3%
주 59
 
4.4%
업 35
 
2.6%
영 34
 
2.6%
소 33
 
2.5%
이 32
 
2.4%
해 26
 
2.0%
Other values (134) 593
44.5%
Common
ValueCountFrequency (%)
) 65
39.4%
( 65
39.4%
34
20.6%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1222
81.6%
ASCII 165
 
11.0%
None 111
 
7.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
카 151
 
12.4%
렌 140
 
11.5%
트 119
 
9.7%
주 59
 
4.8%
업 35
 
2.9%
영 34
 
2.8%
소 33
 
2.7%
이 32
 
2.6%
해 26
 
2.1%
점 24
 
2.0%
Other values (133) 569
46.6%
None
ValueCountFrequency (%)
㈜ 111
100.0%
ASCII
ValueCountFrequency (%)
) 65
39.4%
( 65
39.4%
34
20.6%
1 1
 
0.6%

전화번호
Text

MISSING 

Distinct136
Distinct (%)90.7%
Missing27
Missing (%)15.3%
Memory size1.5 KiB
2023-12-12T11:51:53.397919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.94
Min length9

Characters and Unicode

Total characters1791
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

Unique127 ?
Unique (%)84.7%

Sample

1st row055-238-5655
2nd row055-980-8282
3rd row055-265-2141
4th row055-601-2580
5th row055-264-0047
ValueCountFrequency (%)
1661-3315 5
 
3.3%
070-4210-3546 4
 
2.7%
055-853-7171 2
 
1.3%
055-763-1166 2
 
1.3%
032-560-4864 2
 
1.3%
055-834-5555 2
 
1.3%
055-740-3252 2
 
1.3%
070-7802-9165 2
 
1.3%
055-603-0005 2
 
1.3%
055-634-4001 1
 
0.7%
Other values (126) 126
84.0%
2023-12-12T11:51:53.814398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 368
20.5%
- 294
16.4%
0 261
14.6%
3 146
 
8.2%
6 121
 
6.8%
2 121
 
6.8%
1 119
 
6.6%
7 108
 
6.0%
4 105
 
5.9%
8 83
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1497
83.6%
Dash Punctuation 294
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 368
24.6%
0 261
17.4%
3 146
 
9.8%
6 121
 
8.1%
2 121
 
8.1%
1 119
 
7.9%
7 108
 
7.2%
4 105
 
7.0%
8 83
 
5.5%
9 65
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 294
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1791
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 368
20.5%
- 294
16.4%
0 261
14.6%
3 146
 
8.2%
6 121
 
6.8%
2 121
 
6.8%
1 119
 
6.6%
7 108
 
6.0%
4 105
 
5.9%
8 83
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1791
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 368
20.5%
- 294
16.4%
0 261
14.6%
3 146
 
8.2%
6 121
 
6.8%
2 121
 
6.8%
1 119
 
6.6%
7 108
 
6.0%
4 105
 
5.9%
8 83
 
4.6%

주소
Text

Distinct171
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T11:51:54.142725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length20.135593
Min length5

Characters and Unicode

Total characters3564
Distinct characters203
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)93.2%

Sample

1st row창원시 의창구 도계로18번길 21, 2층(도계동)
2nd row창원시 의창구 원이대로258번길 3, 104호 (명서동, 명서종합상가)
3rd row창원시 의창구 북면 동전산단서로42번길 7-8
4th row창원시 의창구 용동로 87 504호(사림동, 호영아너스)
5th row창원시 의창구 천주로1번길 14 2층(서상동, 창원산림조합)
ValueCountFrequency (%)
창원시 32
 
4.4%
김해시 30
 
4.1%
진주시 29
 
4.0%
거제시 18
 
2.5%
양산시 16
 
2.2%
성산구 13
 
1.8%
마산회원구 10
 
1.4%
통영시 9
 
1.2%
경상남도 9
 
1.2%
1층 9
 
1.2%
Other values (422) 549
75.8%
2023-12-12T11:51:54.617744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
548
 
15.4%
1 204
 
5.7%
시 149
 
4.2%
로 121
 
3.4%
2 121
 
3.4%
동 116
 
3.3%
3 95
 
2.7%
, 76
 
2.1%
길 75
 
2.1%
0 71
 
2.0%
Other values (193) 1988
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1952
54.8%
Decimal Number 787
22.1%
Space Separator 548
 
15.4%
Other Punctuation 80
 
2.2%
Open Punctuation 68
 
1.9%
Close Punctuation 68
 
1.9%
Dash Punctuation 59
 
1.7%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 149
 
7.6%
로 121
 
6.2%
동 116
 
5.9%
길 75
 
3.8%
산 61
 
3.1%
창 53
 
2.7%
해 52
 
2.7%
호 50
 
2.6%
상 50
 
2.6%
원 49
 
2.5%
Other values (174) 1176
60.2%
Decimal Number
ValueCountFrequency (%)
1 204
25.9%
2 121
15.4%
3 95
12.1%
0 71
 
9.0%
6 57
 
7.2%
5 54
 
6.9%
4 53
 
6.7%
7 46
 
5.8%
9 46
 
5.8%
8 40
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 76
95.0%
. 3
 
3.8%
※ 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
548
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1952
54.8%
Common 1610
45.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 149
 
7.6%
로 121
 
6.2%
동 116
 
5.9%
길 75
 
3.8%
산 61
 
3.1%
창 53
 
2.7%
해 52
 
2.7%
호 50
 
2.6%
상 50
 
2.6%
원 49
 
2.5%
Other values (174) 1176
60.2%
Common
ValueCountFrequency (%)
548
34.0%
1 204
 
12.7%
2 121
 
7.5%
3 95
 
5.9%
, 76
 
4.7%
0 71
 
4.4%
( 68
 
4.2%
) 68
 
4.2%
- 59
 
3.7%
6 57
 
3.5%
Other values (7) 243
15.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1952
54.8%
ASCII 1611
45.2%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
548
34.0%
1 204
 
12.7%
2 121
 
7.5%
3 95
 
5.9%
, 76
 
4.7%
0 71
 
4.4%
( 68
 
4.2%
) 68
 
4.2%
- 59
 
3.7%
6 57
 
3.5%
Other values (8) 244
15.1%
Hangul
ValueCountFrequency (%)
시 149
 
7.6%
로 121
 
6.2%
동 116
 
5.9%
길 75
 
3.8%
산 61
 
3.1%
창 53
 
2.7%
해 52
 
2.7%
호 50
 
2.6%
상 50
 
2.6%
원 49
 
2.5%
Other values (174) 1176
60.2%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

비고
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업소
119 
주사무소
56 
영업소
 
2

Length

Max length4
Median length3
Mean length3.3276836
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업소 119
67.2%
주사무소 56
31.6%
영업소 2
 
1.1%

Length

2023-12-12T11:51:54.787461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:51:54.907445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업소 121
68.4%
주사무소 56
31.6%

Correlations

2023-12-12T11:51:54.992346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군비고
시군1.0000.683
비고0.6831.000
2023-12-12T11:51:55.091518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군비고
시군1.0000.466
비고0.4661.000
2023-12-12T11:51:55.195655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군비고
시군1.0000.466
비고0.4661.000

Missing values

2023-12-12T11:51:52.230395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:51:52.335759image/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

시군업체명전화번호주소비고
0창원시(주)힐튼렌터카055-238-5655창원시 의창구 도계로18번길 21, 2층(도계동)주사무소
1창원시(주)행운렌트카055-980-8282창원시 의창구 원이대로258번길 3, 104호 (명서동, 명서종합상가)주사무소
2창원시가자렌트카(주)<NA>창원시 의창구 북면 동전산단서로42번길 7-8주사무소
3창원시(주)장풍물류렌트카055-265-2141창원시 의창구 용동로 87 504호(사림동, 호영아너스)주사무소
4창원시(주)한찬코리아055-601-2580창원시 의창구 천주로1번길 14 2층(서상동, 창원산림조합)주사무소
5창원시뉴새한렌트카(주)055-264-0047창원시 성산구 상남로 37, 1231호(덕산베스트텔)주사무소
6창원시(주)씨티렌터카055-285-1992창원시 성산구 정동로162번길 26, 2층(남산동)주사무소
7창원시(주)부경알엔티070-4210-3546창원시 성산구 연덕로184번길 28, 2층 27호(내동,.공단쇼핑상가)주사무소
8창원시㈜성산렌트카055-275-1444창원시 성산구 외동반림로 120, 1층주사무소
9창원시㈜세종통운055-282-3035창원시 성산구 중앙대로 49, 402호(중앙동, 서광오피스텔)주사무소
시군업체명전화번호주소비고
167하동군엠케이렌트카 하동영업소055-884-4151하동군 고전면 재첩길 20영업소
168함양군에스에이씨렌트카<NA>함양군 함양읍 두산길 55-2주사무소
169함양군세종통운㈜055-962-4321함양군 함양읍 용평중앙길 32영업소
170함양군㈜서경렌트카055-964-8282함양군 함양읍 고운로 107영업소
171함양군㈜서경엔카055-740-3252함양군 함양읍 동위천3길 7영업소
172거창군우리렌트카055-945-3101거창군 거창읍 송정5길 61영업소
173거창군㈜베스트렌트카055-943-1880거창군 거창읍 창동로 67영업소
174거창군㈜세종통운055-945-5320거창군 거창읍 거창대로 7영업소
175거창군㈜서경렌트카055-944-0622거창군 거창읍 거함대로 3177영업소
176합천군엔젤렌터카<NA>합천군 합천읍 남정길 64-2영업소

Duplicate rows

Most frequently occurring

시군업체명전화번호주소비고# duplicates
0양산시㈜위드문렌트카032-560-4864양산시 상북면 석계산단3길 19영업소2