Overview

Dataset statistics

Number of variables4
Number of observations22
Missing cells4
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory836.0 B
Average record size in memory38.0 B

Variable types

Text3
DateTime1

Dataset

Description경상남도 내의 시외버스 업체 현황을 제공합니다. 시외버스 업체의 회사명, 회사주소, 전화번호, 면허일자등의 데이터를 포함하고있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3083989

Alerts

회사명 has 1 (4.5%) missing valuesMissing
회 사 주 소 has 1 (4.5%) missing valuesMissing
전 화 번 호 has 1 (4.5%) missing valuesMissing
면허일자 has 1 (4.5%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:49:58.841963
Analysis finished2023-12-11 00:49:59.366566
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size308.0 B
2023-12-11T09:49:59.501894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.3809524
Min length5

Characters and Unicode

Total characters176
Distinct characters49
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row경 남 고 속 ㈜
2nd row부 산 교 통 ㈜
3rd row대 한 여 객 ㈜
4th row영 화 여 객 ㈜
5th row천 일 여 객 ㈜
ValueCountFrequency (%)
㈜ 16
19.3%
객 11
 
13.3%
여 11
 
13.3%
경 3
 
3.6%
고 3
 
3.6%
속 2
 
2.4%
남 2
 
2.4%
원 2
 
2.4%
흥 2
 
2.4%
통 2
 
2.4%
Other values (28) 29
34.9%
2023-12-11T09:50:00.222818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
35.8%
㈜ 19
 
10.8%
여 11
 
6.2%
객 11
 
6.2%
고 7
 
4.0%
속 6
 
3.4%
경 3
 
1.7%
대 3
 
1.7%
일 2
 
1.1%
스 2
 
1.1%
Other values (39) 49
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92
52.3%
Space Separator 63
35.8%
Other Symbol 19
 
10.8%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 11
 
12.0%
객 11
 
12.0%
고 7
 
7.6%
속 6
 
6.5%
경 3
 
3.3%
대 3
 
3.3%
일 2
 
2.2%
스 2
 
2.2%
동 2
 
2.2%
거 2
 
2.2%
Other values (35) 43
46.7%
Space Separator
ValueCountFrequency (%)
63
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
63.1%
Common 65
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 19
17.1%
여 11
 
9.9%
객 11
 
9.9%
고 7
 
6.3%
속 6
 
5.4%
경 3
 
2.7%
대 3
 
2.7%
일 2
 
1.8%
스 2
 
1.8%
동 2
 
1.8%
Other values (36) 45
40.5%
Common
ValueCountFrequency (%)
63
96.9%
( 1
 
1.5%
) 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92
52.3%
ASCII 65
36.9%
None 19
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
96.9%
( 1
 
1.5%
) 1
 
1.5%
None
ValueCountFrequency (%)
㈜ 19
100.0%
Hangul
ValueCountFrequency (%)
여 11
 
12.0%
객 11
 
12.0%
고 7
 
7.6%
속 6
 
6.5%
경 3
 
3.3%
대 3
 
3.3%
일 2
 
2.2%
스 2
 
2.2%
동 2
 
2.2%
거 2
 
2.2%
Other values (35) 43
46.7%

회 사 주 소
Text

MISSING 

Distinct18
Distinct (%)85.7%
Missing1
Missing (%)4.5%
Memory size308.0 B
2023-12-11T09:50:00.550486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length25.428571
Min length16

Characters and Unicode

Total characters534
Distinct characters83
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

Unique16 ?
Unique (%)76.2%

Sample

1st row부산광역시 금정구 중앙대로 2008(남산동 118-8)
2nd row진주시 진양호로 438 (인사동 157)
3rd row진주시 진양호로 438 (인사동 157)
4th row진주시 진양호로 438 (인사동 157)
5th row부산광역시 사상구 사상로 201(괘법동 533)
ValueCountFrequency (%)
진주시 5
 
4.6%
부산광역시 4
 
3.7%
창원시 4
 
3.7%
인사동 3
 
2.8%
157 3
 
2.8%
진양호로 3
 
2.8%
438 3
 
2.8%
사상구 2
 
1.8%
201(괘법동 2
 
1.8%
533 2
 
1.8%
Other values (75) 78
71.6%
2023-12-11T09:50:01.042308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
 
16.5%
1 32
 
6.0%
) 21
 
3.9%
( 20
 
3.7%
로 19
 
3.6%
동 18
 
3.4%
시 17
 
3.2%
0 15
 
2.8%
3 15
 
2.8%
2 15
 
2.8%
Other values (73) 274
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
47.9%
Decimal Number 140
26.2%
Space Separator 88
 
16.5%
Close Punctuation 21
 
3.9%
Open Punctuation 20
 
3.7%
Dash Punctuation 9
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 19
 
7.4%
동 18
 
7.0%
시 17
 
6.6%
산 14
 
5.5%
진 9
 
3.5%
구 8
 
3.1%
양 8
 
3.1%
해 7
 
2.7%
사 7
 
2.7%
대 7
 
2.7%
Other values (59) 142
55.5%
Decimal Number
ValueCountFrequency (%)
1 32
22.9%
0 15
10.7%
3 15
10.7%
2 15
10.7%
7 14
10.0%
6 11
 
7.9%
5 11
 
7.9%
8 10
 
7.1%
4 9
 
6.4%
9 8
 
5.7%
Space Separator
ValueCountFrequency (%)
88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 278
52.1%
Hangul 256
47.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 19
 
7.4%
동 18
 
7.0%
시 17
 
6.6%
산 14
 
5.5%
진 9
 
3.5%
구 8
 
3.1%
양 8
 
3.1%
해 7
 
2.7%
사 7
 
2.7%
대 7
 
2.7%
Other values (59) 142
55.5%
Common
ValueCountFrequency (%)
88
31.7%
1 32
 
11.5%
) 21
 
7.6%
( 20
 
7.2%
0 15
 
5.4%
3 15
 
5.4%
2 15
 
5.4%
7 14
 
5.0%
6 11
 
4.0%
5 11
 
4.0%
Other values (4) 36
12.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278
52.1%
Hangul 256
47.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
31.7%
1 32
 
11.5%
) 21
 
7.6%
( 20
 
7.2%
0 15
 
5.4%
3 15
 
5.4%
2 15
 
5.4%
7 14
 
5.0%
6 11
 
4.0%
5 11
 
4.0%
Other values (4) 36
12.9%
Hangul
ValueCountFrequency (%)
로 19
 
7.4%
동 18
 
7.0%
시 17
 
6.6%
산 14
 
5.5%
진 9
 
3.5%
구 8
 
3.1%
양 8
 
3.1%
해 7
 
2.7%
사 7
 
2.7%
대 7
 
2.7%
Other values (59) 142
55.5%

전 화 번 호
Text

MISSING 

Distinct20
Distinct (%)95.2%
Missing1
Missing (%)4.5%
Memory size308.0 B
2023-12-11T09:50:01.255153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique19 ?
Unique (%)90.5%

Sample

1st row051-583-7441
2nd row055-741-8802
3rd row055-742-3300
4th row055-745-4881
5th row051-559-1101
ValueCountFrequency (%)
051-559-1101 2
 
9.5%
055-337-3751 1
 
4.8%
055-583-7975 1
 
4.8%
051-743-0084 1
 
4.8%
055-963-3745 1
 
4.8%
055-384-6612 1
 
4.8%
055-547-8423 1
 
4.8%
055-224-3308 1
 
4.8%
055-945-0631 1
 
4.8%
051-583-7441 1
 
4.8%
Other values (10) 10
47.6%
2023-12-11T09:50:01.613768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 59
23.4%
- 42
16.7%
0 35
13.9%
1 21
 
8.3%
3 20
 
7.9%
4 19
 
7.5%
7 16
 
6.3%
2 13
 
5.2%
8 13
 
5.2%
6 8
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 59
28.1%
0 35
16.7%
1 21
 
10.0%
3 20
 
9.5%
4 19
 
9.0%
7 16
 
7.6%
2 13
 
6.2%
8 13
 
6.2%
6 8
 
3.8%
9 6
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 59
23.4%
- 42
16.7%
0 35
13.9%
1 21
 
8.3%
3 20
 
7.9%
4 19
 
7.5%
7 16
 
6.3%
2 13
 
5.2%
8 13
 
5.2%
6 8
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 59
23.4%
- 42
16.7%
0 35
13.9%
1 21
 
8.3%
3 20
 
7.9%
4 19
 
7.5%
7 16
 
6.3%
2 13
 
5.2%
8 13
 
5.2%
6 8
 
3.2%

면허일자
Date

MISSING 

Distinct19
Distinct (%)90.5%
Missing1
Missing (%)4.5%
Memory size308.0 B
Minimum1946-12-31 00:00:00
Maximum2015-11-06 00:00:00
2023-12-11T09:50:01.742457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:50:01.850991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

Correlations

2023-12-11T09:50:01.931876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명회 사 주 소전 화 번 호면허일자
회사명1.0001.0001.0001.000
회 사 주 소1.0001.0001.0000.832
전 화 번 호1.0001.0001.0000.944
면허일자1.0000.8320.9441.000

Missing values

2023-12-11T09:49:59.083754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:49:59.163725image/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.
2023-12-11T09:49:59.297072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

회사명회 사 주 소전 화 번 호면허일자
0경 남 고 속 ㈜부산광역시 금정구 중앙대로 2008(남산동 118-8)051-583-74411966-02-01
1부 산 교 통 ㈜진주시 진양호로 438 (인사동 157)055-741-88021963-08-01
2대 한 여 객 ㈜진주시 진양호로 438 (인사동 157)055-742-33001966-03-04
3영 화 여 객 ㈜진주시 진양호로 438 (인사동 157)055-745-48811980-03-29
4천 일 여 객 ㈜부산광역시 사상구 사상로 201(괘법동 533)051-559-11011949-09-08
5고 려 여 객 ㈜부산광역시 사상구 사상로 201(괘법동 533)051-559-11011966-02-14
6경 원 여 객 ㈜진주시 남강로 698 (장대동 99-13)055-745-01221966-01-24
7경 전 여 객 ㈜진주시 문산읍 월마산로 1026(삼곡리 1162)055-745-82851951-08-11
8푸 른 교 통 ㈜양산시 신평로 100 (평산동 568-10)055-375-03261980-03-01
9신 흥 여 객 ㈜창원시 마산회원구 합성옛길 191-11(합성동 161-32)055-295-70411946-12-31
회사명회 사 주 소전 화 번 호면허일자
12밀 성 여 객 ㈜밀양시 북성로 7 (내이동 1187-1)055-354-61071980-03-18
13남 흥 여 객 ㈜남해군 남해읍 화전로 78번길 3(북변리 209)055-863-35011966-01-24
14거 창 고 속 ㈜거창군 거창읍 강남로 236 (대평리 1005)055-945-06311980-03-18
15거제현대고속㈜창원시 마산합포구 월영동서로 10 (해운동 5-56)055-224-33081966-01-14
16동 아 여 객 ㈜창원시 진해구 태평로 34번길 17 (인의동 24-3)055-547-84232001-04-01
17㈜ 세 원양산시 산막동단남 11길 129(북정동 97)055-384-66122003-08-01
18함양지리산고속㈜함양군 함양읍 고운로 102 (용평리 679-7)055-963-37451980-04-01
19해운대고속(주)부산광역시 해운대구 해운대로 641(우동)051-743-00841983-01-13
20동일익스프레스함안군 군북면 함마대로 772055-583-79752015-11-06
21<NA><NA><NA><NA>