Overview

Dataset statistics

Number of variables7
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory62.0 B

Variable types

Text3
Categorical3
DateTime1

Dataset

Description본 공공데이터는 완주군 전세특수운송업 현황에 대한 상호명, 사업종류, 사무소 주소 , 전화번호, 관리부서, 관리부서 전화번호 등의 정보를 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=7&menuCd=DOM_000000103007001000&pListTypeStr=&pId=3076564

Alerts

관리부서 has constant value ""Constant
관리부서 연락처 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
상호(업체명) has unique valuesUnique
주사무소전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 03:28:16.003453
Analysis finished2024-03-14 03:28:16.335117
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호(업체명)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-14T12:28:16.448802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length8.9090909
Min length5

Characters and Unicode

Total characters196
Distinct characters62
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

Unique22 ?
Unique (%)100.0%

Sample

1st row(유)전일전세
2nd row대한전세버스협동조합
3rd row(유)국제여행사
4th row(유)삼성해외관광
5th row(유)동마실업고속관광
ValueCountFrequency (%)
유)전일전세 1
 
4.3%
유)코아관광여행사 1
 
4.3%
장례문화원 1
 
4.3%
봉동호스피스 1
 
4.3%
완주장의사 1
 
4.3%
한길장례식장 1
 
4.3%
유)고려항공여행사 1
 
4.3%
유)대진고속관광 1
 
4.3%
유)하나고속관광 1
 
4.3%
유)현대고속관광 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T12:28:16.768356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 17
 
8.7%
17
 
8.7%
) 17
 
8.7%
11
 
5.6%
10
 
5.1%
9
 
4.6%
9
 
4.6%
8
 
4.1%
5
 
2.6%
5
 
2.6%
Other values (52) 88
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161
82.1%
Open Punctuation 17
 
8.7%
Close Punctuation 17
 
8.7%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
10.6%
11
 
6.8%
10
 
6.2%
9
 
5.6%
9
 
5.6%
8
 
5.0%
5
 
3.1%
5
 
3.1%
5
 
3.1%
5
 
3.1%
Other values (49) 77
47.8%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 161
82.1%
Common 35
 
17.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
10.6%
11
 
6.8%
10
 
6.2%
9
 
5.6%
9
 
5.6%
8
 
5.0%
5
 
3.1%
5
 
3.1%
5
 
3.1%
5
 
3.1%
Other values (49) 77
47.8%
Common
ValueCountFrequency (%)
( 17
48.6%
) 17
48.6%
1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 161
82.1%
ASCII 35
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 17
48.6%
) 17
48.6%
1
 
2.9%
Hangul
ValueCountFrequency (%)
17
 
10.6%
11
 
6.8%
10
 
6.2%
9
 
5.6%
9
 
5.6%
8
 
5.0%
5
 
3.1%
5
 
3.1%
5
 
3.1%
5
 
3.1%
Other values (49) 77
47.8%

사업의 종류
Categorical

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
전세버스
18 
특수여객

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전세버스 18
81.8%
특수여객 4
 
18.2%

Length

2024-03-14T12:28:16.875276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:28:16.950299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전세버스 18
81.8%
특수여객 4
 
18.2%
Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-14T12:28:17.101042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.5
Min length18

Characters and Unicode

Total characters473
Distinct characters69
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row전라북도 완주군 봉동읍 구만리 285번지
2nd row전라북도 완주군 구이면 구이로 1732-1
3rd row전라북도 완주군 삼례읍 하리로 488-1번지
4th row전라북도 완주군 상관면 춘향로 4449
5th row전라북도 완주군 용진면 신지송광로 25-16
ValueCountFrequency (%)
전라북도 22
20.0%
완주군 22
20.0%
봉동읍 6
 
5.5%
소양면 3
 
2.7%
완주로 3
 
2.7%
삼례읍 3
 
2.7%
용진읍 3
 
2.7%
구이면 3
 
2.7%
63 2
 
1.8%
827-1 2
 
1.8%
Other values (39) 41
37.3%
2024-03-14T12:28:17.381598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
18.6%
26
 
5.5%
26
 
5.5%
23
 
4.9%
22
 
4.7%
22
 
4.7%
22
 
4.7%
22
 
4.7%
16
 
3.4%
1 15
 
3.2%
Other values (59) 191
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
63.4%
Space Separator 88
 
18.6%
Decimal Number 74
 
15.6%
Dash Punctuation 10
 
2.1%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
 
8.7%
26
 
8.7%
23
 
7.7%
22
 
7.3%
22
 
7.3%
22
 
7.3%
22
 
7.3%
16
 
5.3%
12
 
4.0%
10
 
3.3%
Other values (46) 99
33.0%
Decimal Number
ValueCountFrequency (%)
1 15
20.3%
2 12
16.2%
8 10
13.5%
4 8
10.8%
7 8
10.8%
5 6
 
8.1%
6 5
 
6.8%
3 5
 
6.8%
0 4
 
5.4%
9 1
 
1.4%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
63.4%
Common 173
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
 
8.7%
26
 
8.7%
23
 
7.7%
22
 
7.3%
22
 
7.3%
22
 
7.3%
22
 
7.3%
16
 
5.3%
12
 
4.0%
10
 
3.3%
Other values (46) 99
33.0%
Common
ValueCountFrequency (%)
88
50.9%
1 15
 
8.7%
2 12
 
6.9%
8 10
 
5.8%
- 10
 
5.8%
4 8
 
4.6%
7 8
 
4.6%
5 6
 
3.5%
6 5
 
2.9%
3 5
 
2.9%
Other values (3) 6
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
63.4%
ASCII 173
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
50.9%
1 15
 
8.7%
2 12
 
6.9%
8 10
 
5.8%
- 10
 
5.8%
4 8
 
4.6%
7 8
 
4.6%
5 6
 
3.5%
6 5
 
2.9%
3 5
 
2.9%
Other values (3) 6
 
3.5%
Hangul
ValueCountFrequency (%)
26
 
8.7%
26
 
8.7%
23
 
7.7%
22
 
7.3%
22
 
7.3%
22
 
7.3%
22
 
7.3%
16
 
5.3%
12
 
4.0%
10
 
3.3%
Other values (46) 99
33.0%
Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-14T12:28:17.543167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row063-254-7777
2nd row063-243-5552
3rd row063-291-3434
4th row063-223-4142
5th row063-262-8883
ValueCountFrequency (%)
063-254-7777 1
 
4.5%
063-243-5552 1
 
4.5%
063-261-4444 1
 
4.5%
063-285-1009 1
 
4.5%
063-263-4464 1
 
4.5%
063-282-1188 1
 
4.5%
063-221-2581 1
 
4.5%
063-251-6062 1
 
4.5%
063-228-0030 1
 
4.5%
063-227-0038 1
 
4.5%
Other values (12) 12
54.5%
2024-03-14T12:28:17.781564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 44
16.7%
2 40
15.2%
0 37
14.0%
3 34
12.9%
6 31
11.7%
4 24
9.1%
1 15
 
5.7%
8 15
 
5.7%
5 12
 
4.5%
7 9
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 40
18.2%
0 37
16.8%
3 34
15.5%
6 31
14.1%
4 24
10.9%
1 15
 
6.8%
8 15
 
6.8%
5 12
 
5.5%
7 9
 
4.1%
9 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 44
16.7%
2 40
15.2%
0 37
14.0%
3 34
12.9%
6 31
11.7%
4 24
9.1%
1 15
 
5.7%
8 15
 
5.7%
5 12
 
4.5%
7 9
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 44
16.7%
2 40
15.2%
0 37
14.0%
3 34
12.9%
6 31
11.7%
4 24
9.1%
1 15
 
5.7%
8 15
 
5.7%
5 12
 
4.5%
7 9
 
3.4%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
도로교통과 대중교통팀
22 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도로교통과 대중교통팀
2nd row도로교통과 대중교통팀
3rd row도로교통과 대중교통팀
4th row도로교통과 대중교통팀
5th row도로교통과 대중교통팀

Common Values

ValueCountFrequency (%)
도로교통과 대중교통팀 22
100.0%

Length

2024-03-14T12:28:17.898880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:28:17.992451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도로교통과 22
50.0%
대중교통팀 22
50.0%

관리부서 연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
063-290-2804
22 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row063-290-2804
2nd row063-290-2804
3rd row063-290-2804
4th row063-290-2804
5th row063-290-2804

Common Values

ValueCountFrequency (%)
063-290-2804 22
100.0%

Length

2024-03-14T12:28:18.101407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:28:18.194152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
063-290-2804 22
100.0%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2021-06-22 00:00:00
Maximum2021-06-22 00:00:00
2024-03-14T12:28:18.262775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:28:18.364325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-14T12:28:18.430618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호(업체명)사업의 종류주사무소 주소주사무소전화번호
상호(업체명)1.0001.0001.0001.000
사업의 종류1.0001.0001.0001.000
주사무소 주소1.0001.0001.0001.000
주사무소전화번호1.0001.0001.0001.000

Missing values

2024-03-14T12:28:16.208613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:28:16.299546image/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

상호(업체명)사업의 종류주사무소 주소주사무소전화번호관리부서관리부서 연락처데이터 기준일자
0(유)전일전세전세버스전라북도 완주군 봉동읍 구만리 285번지063-254-7777도로교통과 대중교통팀063-290-28042021-06-22
1대한전세버스협동조합전세버스전라북도 완주군 구이면 구이로 1732-1063-243-5552도로교통과 대중교통팀063-290-28042021-06-22
2(유)국제여행사전세버스전라북도 완주군 삼례읍 하리로 488-1번지063-291-3434도로교통과 대중교통팀063-290-28042021-06-22
3(유)삼성해외관광전세버스전라북도 완주군 상관면 춘향로 4449063-223-4142도로교통과 대중교통팀063-290-28042021-06-22
4(유)동마실업고속관광전세버스전라북도 완주군 용진면 신지송광로 25-16063-262-8883도로교통과 대중교통팀063-290-28042021-06-22
5(유)뉴대한관광여행사전세버스전라북도 완주군 삼례읍 왕궁로 63063-281-0001도로교통과 대중교통팀063-290-28042021-06-22
6(유)전주한솔해외여행사전세버스전라북도 완주군 용진읍 완주로 272063-284-2180도로교통과 대중교통팀063-290-28042021-06-22
7(유)서행항공전세버스전라북도 완주군 고산면 고산천로 188063-237-3187도로교통과 대중교통팀063-290-28042021-06-22
8(유)미래항공여행사전세버스전라북도 완주군 구이면 장미로 240-8063-273-6600도로교통과 대중교통팀063-290-28042021-06-22
9(유)롯데항공여행사전세버스전라북도 완주군 용진읍 구억명덕로 63063-242-0152도로교통과 대중교통팀063-290-28042021-06-22
상호(업체명)사업의 종류주사무소 주소주사무소전화번호관리부서관리부서 연락처데이터 기준일자
12(유)코아관광여행사전세버스전라북도 완주군 소양면 명덕로 255-4063-252-9456도로교통과 대중교통팀063-290-28042021-06-22
13(유)삼남해외관광전세버스전라북도 완주군 삼례읍 동학로 87063-227-0038도로교통과 대중교통팀063-290-28042021-06-22
14(유)현대고속관광전세버스전라북도 완주군 용진면 봉서로 42063-228-0030도로교통과 대중교통팀063-290-28042021-06-22
15(유)하나고속관광전세버스전라북도 완주군 소양면 대흥봉덕길 3-10063-251-6062도로교통과 대중교통팀063-290-28042021-06-22
16(유)대진고속관광전세버스전라북도 완주군 구이면 원계곡길 11063-221-2581도로교통과 대중교통팀063-290-28042021-06-22
17(유)고려항공여행사전세버스전라북도 완주군 봉동읍 완주로 553, 7호063-282-1188도로교통과 대중교통팀063-290-28042021-06-22
18한길장례식장특수여객전라북도 완주군 봉동읍 낙평남북로 104-17063-263-4464도로교통과 대중교통팀063-290-28042021-06-22
19완주장의사특수여객전라북도 완주군 봉동읍 구암리 827-1063-285-1009도로교통과 대중교통팀063-290-28042021-06-22
20봉동호스피스 장례문화원특수여객전라북도 완주군 용진읍 완주로 807063-261-4444도로교통과 대중교통팀063-290-28042021-06-22
21삼봉장의사특수여객전라북도 완주군 봉동읍 구암리 827-1063-251-4434도로교통과 대중교통팀063-290-28042021-06-22