Overview

Dataset statistics

Number of variables5
Number of observations233
Missing cells28
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.2 KiB
Average record size in memory40.6 B

Variable types

Categorical2
Text3

Dataset

Description경상남도 자동차 대여 업체 현황으로, 자동차 대여 업체 소재 시군명, 업체명, 전화번호, 주소 등에 관한 정보를 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3083238

Alerts

전화번호 has 28 (12.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:15:36.318505
Analysis finished2023-12-10 23:15:36.712972
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct17
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
창원시
65 
김해시
34 
진주시
31 
거제시
17 
통영시
16 
Other values (12)
70 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 65
27.9%
김해시 34
14.6%
진주시 31
13.3%
거제시 17
 
7.3%
통영시 16
 
6.9%
사천시 16
 
6.9%
양산시 15
 
6.4%
고성군 8
 
3.4%
밀양시 7
 
3.0%
함안군 6
 
2.6%
Other values (7) 18
 
7.7%

Length

2023-12-11T08:15:36.761103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 65
27.9%
김해시 34
14.6%
진주시 31
13.3%
거제시 17
 
7.3%
통영시 16
 
6.9%
사천시 16
 
6.9%
양산시 15
 
6.4%
고성군 8
 
3.4%
밀양시 7
 
3.0%
함안군 6
 
2.6%
Other values (7) 18
 
7.7%

업 체 명
Text

Distinct187
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T08:15:36.982482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length7.193133
Min length2

Characters and Unicode

Total characters1676
Distinct characters163
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)67.0%

Sample

1st row(주)경남렌트카
2nd row(주)부경알엔티
3rd row(주)장풍물류렌트카
4th row(주)한찬코리아
5th row(주)행운렌트카
ValueCountFrequency (%)
사천영업소 8
 
3.1%
㈜서경렌트카 6
 
2.3%
㈜조은렌트카 6
 
2.3%
㈜쏘카 5
 
1.9%
장유영업소 5
 
1.9%
㈜세종통운 5
 
1.9%
㈜우리렌트카 4
 
1.6%
㈜안전렌터카 4
 
1.6%
남해영업소 4
 
1.6%
㈜동아렌트카 4
 
1.6%
Other values (162) 206
80.2%
2023-12-11T08:15:37.355668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
카 188
 
11.2%
렌 185
 
11.0%
트 167
 
10.0%
㈜ 165
 
9.8%
주 42
 
2.5%
이 38
 
2.3%
) 38
 
2.3%
( 38
 
2.3%
영 30
 
1.8%
업 30
 
1.8%
Other values (153) 755
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1391
83.0%
Other Symbol 165
 
9.8%
Close Punctuation 38
 
2.3%
Open Punctuation 38
 
2.3%
Space Separator 29
 
1.7%
Uppercase Letter 13
 
0.8%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 188
 
13.5%
렌 185
 
13.3%
트 167
 
12.0%
주 42
 
3.0%
이 38
 
2.7%
영 30
 
2.2%
업 30
 
2.2%
소 28
 
2.0%
성 22
 
1.6%
스 21
 
1.5%
Other values (140) 640
46.0%
Uppercase Letter
ValueCountFrequency (%)
K 4
30.8%
A 2
15.4%
J 2
15.4%
S 2
15.4%
N 1
 
7.7%
B 1
 
7.7%
O 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1556
92.8%
Common 107
 
6.4%
Latin 13
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 188
 
12.1%
렌 185
 
11.9%
트 167
 
10.7%
㈜ 165
 
10.6%
주 42
 
2.7%
이 38
 
2.4%
영 30
 
1.9%
업 30
 
1.9%
소 28
 
1.8%
성 22
 
1.4%
Other values (141) 661
42.5%
Latin
ValueCountFrequency (%)
K 4
30.8%
A 2
15.4%
J 2
15.4%
S 2
15.4%
N 1
 
7.7%
B 1
 
7.7%
O 1
 
7.7%
Common
ValueCountFrequency (%)
) 38
35.5%
( 38
35.5%
29
27.1%
. 1
 
0.9%
, 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1391
83.0%
None 165
 
9.8%
ASCII 120
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
카 188
 
13.5%
렌 185
 
13.3%
트 167
 
12.0%
주 42
 
3.0%
이 38
 
2.7%
영 30
 
2.2%
업 30
 
2.2%
소 28
 
2.0%
성 22
 
1.6%
스 21
 
1.5%
Other values (140) 640
46.0%
None
ValueCountFrequency (%)
㈜ 165
100.0%
ASCII
ValueCountFrequency (%)
) 38
31.7%
( 38
31.7%
29
24.2%
K 4
 
3.3%
A 2
 
1.7%
J 2
 
1.7%
S 2
 
1.7%
. 1
 
0.8%
N 1
 
0.8%
B 1
 
0.8%
Other values (2) 2
 
1.7%

전화번호
Text

MISSING 

Distinct182
Distinct (%)88.8%
Missing28
Missing (%)12.0%
Memory size1.9 KiB
2023-12-11T08:15:37.589082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.970732
Min length9

Characters and Unicode

Total characters2454
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

Unique170 ?
Unique (%)82.9%

Sample

1st row055-601-2580
2nd row055-757-9119
3rd row055-265-2141
4th row055-601-1000
5th row055-267-8888
ValueCountFrequency (%)
055-603-0005 7
 
3.4%
055-757-9119 4
 
2.0%
055-328-9823 3
 
1.5%
055-238-5655 3
 
1.5%
055-742-8000 3
 
1.5%
055-820-7979 3
 
1.5%
055-754-0013 2
 
1.0%
055-601-2580 2
 
1.0%
055-238-4084 2
 
1.0%
1661-3315 2
 
1.0%
Other values (172) 174
84.9%
2023-12-11T08:15:37.935755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 524
21.4%
- 406
16.5%
0 382
15.6%
2 173
 
7.0%
3 170
 
6.9%
6 150
 
6.1%
7 150
 
6.1%
8 136
 
5.5%
1 135
 
5.5%
4 133
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2048
83.5%
Dash Punctuation 406
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 524
25.6%
0 382
18.7%
2 173
 
8.4%
3 170
 
8.3%
6 150
 
7.3%
7 150
 
7.3%
8 136
 
6.6%
1 135
 
6.6%
4 133
 
6.5%
9 95
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 406
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2454
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 524
21.4%
- 406
16.5%
0 382
15.6%
2 173
 
7.0%
3 170
 
6.9%
6 150
 
6.1%
7 150
 
6.1%
8 136
 
5.5%
1 135
 
5.5%
4 133
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2454
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 524
21.4%
- 406
16.5%
0 382
15.6%
2 173
 
7.0%
3 170
 
6.9%
6 150
 
6.1%
7 150
 
6.1%
8 136
 
5.5%
1 135
 
5.5%
4 133
 
5.4%

주 소
Text

Distinct219
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T08:15:38.233037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length18.892704
Min length10

Characters and Unicode

Total characters4402
Distinct characters207
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)90.1%

Sample

1st row창원시의창구 중앙대로 210번길3,가동1층
2nd row창원시 의창구 신월로54, 토월복합상가 602호
3rd row창원시 의창구 용동로 87 504호(사림동, 호영아너스)
4th row창원시 의창구 천주로1번길14(서상동351-5) 2층
5th row창원시 의창구 원이대로258번길 3, 104호(명서동, 명서종합상가)
ValueCountFrequency (%)
창원시 55
 
6.5%
김해시 31
 
3.6%
진주시 30
 
3.5%
마산합포구 19
 
2.2%
사천시 16
 
1.9%
마산회원구 16
 
1.9%
거제시 15
 
1.8%
양산시 14
 
1.6%
통영시 14
 
1.6%
2층 10
 
1.2%
Other values (467) 632
74.2%
2023-12-11T08:15:38.950103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
629
 
14.3%
1 222
 
5.0%
시 202
 
4.6%
로 171
 
3.9%
2 161
 
3.7%
동 120
 
2.7%
3 109
 
2.5%
길 104
 
2.4%
4 92
 
2.1%
원 91
 
2.1%
Other values (197) 2501
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2483
56.4%
Decimal Number 982
 
22.3%
Space Separator 629
 
14.3%
Other Punctuation 82
 
1.9%
Dash Punctuation 78
 
1.8%
Open Punctuation 73
 
1.7%
Close Punctuation 72
 
1.6%
Uppercase Letter 2
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 202
 
8.1%
로 171
 
6.9%
동 120
 
4.8%
길 104
 
4.2%
원 91
 
3.7%
창 88
 
3.5%
산 84
 
3.4%
구 68
 
2.7%
해 61
 
2.5%
번 54
 
2.2%
Other values (177) 1440
58.0%
Decimal Number
ValueCountFrequency (%)
1 222
22.6%
2 161
16.4%
3 109
11.1%
4 92
9.4%
0 78
 
7.9%
5 71
 
7.2%
6 64
 
6.5%
8 63
 
6.4%
7 62
 
6.3%
9 60
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 79
96.3%
. 2
 
2.4%
· 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
629
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2483
56.4%
Common 1917
43.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 202
 
8.1%
로 171
 
6.9%
동 120
 
4.8%
길 104
 
4.2%
원 91
 
3.7%
창 88
 
3.5%
산 84
 
3.4%
구 68
 
2.7%
해 61
 
2.5%
번 54
 
2.2%
Other values (177) 1440
58.0%
Common
ValueCountFrequency (%)
629
32.8%
1 222
 
11.6%
2 161
 
8.4%
3 109
 
5.7%
4 92
 
4.8%
, 79
 
4.1%
0 78
 
4.1%
- 78
 
4.1%
( 73
 
3.8%
) 72
 
3.8%
Other values (8) 324
16.9%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2483
56.4%
ASCII 1918
43.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
629
32.8%
1 222
 
11.6%
2 161
 
8.4%
3 109
 
5.7%
4 92
 
4.8%
, 79
 
4.1%
0 78
 
4.1%
- 78
 
4.1%
( 73
 
3.8%
) 72
 
3.8%
Other values (9) 325
16.9%
Hangul
ValueCountFrequency (%)
시 202
 
8.1%
로 171
 
6.9%
동 120
 
4.8%
길 104
 
4.2%
원 91
 
3.7%
창 88
 
3.5%
산 84
 
3.4%
구 68
 
2.7%
해 61
 
2.5%
번 54
 
2.2%
Other values (177) 1440
58.0%
None
ValueCountFrequency (%)
· 1
100.0%

비고
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
영업소
172 
주사무소
61 

Length

Max length4
Median length3
Mean length3.2618026
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업소 172
73.8%
주사무소 61
 
26.2%

Length

2023-12-11T08:15:39.086097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:15:39.175838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업소 172
73.8%
주사무소 61
 
26.2%

Correlations

2023-12-11T08:15:39.226938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군비고
시군1.0000.471
비고0.4711.000
2023-12-11T08:15:39.300320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군비고
시군1.0000.410
비고0.4101.000
2023-12-11T08:15:39.371706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군비고
시군1.0000.410
비고0.4101.000

Missing values

2023-12-11T08:15:36.606549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:15:36.681809image/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

시군업 체 명전화번호주 소비고
0창원시(주)경남렌트카055-601-2580창원시의창구 중앙대로 210번길3,가동1층주사무소
1창원시(주)부경알엔티055-757-9119창원시 의창구 신월로54, 토월복합상가 602호주사무소
2창원시(주)장풍물류렌트카055-265-2141창원시 의창구 용동로 87 504호(사림동, 호영아너스)주사무소
3창원시(주)한찬코리아055-601-1000창원시 의창구 천주로1번길14(서상동351-5) 2층주사무소
4창원시(주)행운렌트카055-267-8888창원시 의창구 원이대로258번길 3, 104호(명서동, 명서종합상가)주사무소
5창원시(주)힐튼렌트카055-238-5655창원시의창구 도계로 13 106호(도계동, 태양빌딩)주사무소
6창원시(주)힐튼렌트카055-238-5655창원시 진해구 천자로 411 201호(풍호동, 경동프라자)영업소
7창원시(주)힐튼렌트카055-238-5655창원시 마산회원구 내서읍 중리337-1번지영업소
8창원시㈜투투렌트카055-603-0005창원시 의창구 의창대로 282번길 3-7주사무소
9창원시㈜투투렌트카055-603-0005창원시 마산회원구 두척2길 62영업소
시군업 체 명전화번호주 소비고
223하동군㈜서경렌트카055-883-1717하동군 하동읍 나루터길 8영업소
224하동군(유)동부렌트카061-761-4030하동군 하동읍 화심길 126영업소
225함양군세종통운㈜055-962-4321함양군 함양읍 용평3길 33영업소
226함양군㈜서경렌트카055-964-8282함양군 함양읍 고운로 107영업소
227함양군㈜서경엔카055-740-3252함양군 함양읍 동위천3길 7영업소
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