Overview

Dataset statistics

Number of variables3
Number of observations74
Missing cells32
Missing cells (%)14.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory25.8 B

Variable types

Text3

Dataset

Description등록된 데이터는 금정구 관내에 존재하는 화물운송 주선사업의 업체 현황에 대한 자료 입니다. 데이터는 금정구 내 화물운송 주선사업 업체의 업체명, 업체의 소재지, 전화번호 등이 있습니다.
Author부산광역시 금정구
URLhttps://www.data.go.kr/data/15025840/fileData.do

Alerts

연락처 has 32 (43.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:22:31.696138
Analysis finished2023-12-12 10:22:32.671565
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명(상호)
Text

Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T19:22:32.892641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.1081081
Min length4

Characters and Unicode

Total characters452
Distinct characters134
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

Unique72 ?
Unique (%)97.3%

Sample

1st row공팔카고크레인
2nd row대구화물
3rd row(주)성진화물
4th row강원화물
5th row(주)대전화물
ValueCountFrequency (%)
삼성익스프레스 2
 
2.6%
이사뱅크 1
 
1.3%
삼성홈트랜스 1
 
1.3%
현대익스프레스 1
 
1.3%
경성트랜스 1
 
1.3%
우방익스프레스 1
 
1.3%
lg하나로트랜스 1
 
1.3%
동양익스프레스 1
 
1.3%
부산선경트랜스 1
 
1.3%
물류 1
 
1.3%
Other values (67) 67
85.9%
2023-12-12T19:22:33.358374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 48
 
10.6%
물 18
 
4.0%
레 15
 
3.3%
운 15
 
3.3%
익 14
 
3.1%
프 14
 
3.1%
성 12
 
2.7%
이 11
 
2.4%
㈜ 11
 
2.4%
트 11
 
2.4%
Other values (124) 283
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
89.4%
Uppercase Letter 13
 
2.9%
Other Symbol 11
 
2.4%
Close Punctuation 7
 
1.5%
Open Punctuation 7
 
1.5%
Space Separator 4
 
0.9%
Other Punctuation 3
 
0.7%
Decimal Number 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 48
 
11.9%
물 18
 
4.5%
레 15
 
3.7%
운 15
 
3.7%
익 14
 
3.5%
프 14
 
3.5%
성 12
 
3.0%
이 11
 
2.7%
트 11
 
2.7%
류 9
 
2.2%
Other values (108) 237
58.7%
Uppercase Letter
ValueCountFrequency (%)
K 3
23.1%
G 2
15.4%
S 2
15.4%
O 2
15.4%
L 1
 
7.7%
M 1
 
7.7%
B 1
 
7.7%
I 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
9 1
33.3%
3 1
33.3%
2 1
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 415
91.8%
Common 24
 
5.3%
Latin 13
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 48
 
11.6%
물 18
 
4.3%
레 15
 
3.6%
운 15
 
3.6%
익 14
 
3.4%
프 14
 
3.4%
성 12
 
2.9%
이 11
 
2.7%
㈜ 11
 
2.7%
트 11
 
2.7%
Other values (109) 246
59.3%
Latin
ValueCountFrequency (%)
K 3
23.1%
G 2
15.4%
S 2
15.4%
O 2
15.4%
L 1
 
7.7%
M 1
 
7.7%
B 1
 
7.7%
I 1
 
7.7%
Common
ValueCountFrequency (%)
) 7
29.2%
( 7
29.2%
4
16.7%
. 3
12.5%
9 1
 
4.2%
3 1
 
4.2%
2 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
89.4%
ASCII 37
 
8.2%
None 11
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 48
 
11.9%
물 18
 
4.5%
레 15
 
3.7%
운 15
 
3.7%
익 14
 
3.5%
프 14
 
3.5%
성 12
 
3.0%
이 11
 
2.7%
트 11
 
2.7%
류 9
 
2.2%
Other values (108) 237
58.7%
None
ValueCountFrequency (%)
㈜ 11
100.0%
ASCII
ValueCountFrequency (%)
) 7
18.9%
( 7
18.9%
4
10.8%
K 3
8.1%
. 3
8.1%
G 2
 
5.4%
S 2
 
5.4%
O 2
 
5.4%
9 1
 
2.7%
L 1
 
2.7%
Other values (5) 5
13.5%

주사무소소재지
Text

Distinct70
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2023-12-12T19:22:33.664412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length26.689189
Min length19

Characters and Unicode

Total characters1975
Distinct characters100
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

Unique66 ?
Unique (%)89.2%

Sample

1st row부산광역시 금정구 금강로751, 지하(청룡동, 대신빌라)
2nd row부산광역시 금정구 공단로8번길 11(금사동)1층6호
3rd row부산광역시 금정구 개좌로 408번길
4th row부산광역시 금정구 중앙대로1826번길 28(구서동)
5th row부산광역시 금정구 개좌로 408번길
ValueCountFrequency (%)
부산광역시 74
23.0%
금정구 74
23.0%
개좌로 7
 
2.2%
중앙대로1826번길 7
 
2.2%
금정로 5
 
1.6%
11(금사동 4
 
1.2%
공단로8번길 3
 
0.9%
408 3
 
0.9%
공단로 3
 
0.9%
8번길 3
 
0.9%
Other values (125) 139
43.2%
2023-12-12T19:22:34.292196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
 
12.9%
금 100
 
5.1%
구 99
 
5.0%
1 94
 
4.8%
부 91
 
4.6%
동 85
 
4.3%
정 83
 
4.2%
산 81
 
4.1%
광 74
 
3.7%
역 74
 
3.7%
Other values (90) 939
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1198
60.7%
Decimal Number 346
 
17.5%
Space Separator 255
 
12.9%
Close Punctuation 65
 
3.3%
Open Punctuation 65
 
3.3%
Dash Punctuation 23
 
1.2%
Other Punctuation 22
 
1.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 100
 
8.3%
구 99
 
8.3%
부 91
 
7.6%
동 85
 
7.1%
정 83
 
6.9%
산 81
 
6.8%
광 74
 
6.2%
역 74
 
6.2%
시 74
 
6.2%
로 72
 
6.0%
Other values (72) 365
30.5%
Decimal Number
ValueCountFrequency (%)
1 94
27.2%
2 57
16.5%
8 41
11.8%
6 32
 
9.2%
0 26
 
7.5%
3 25
 
7.2%
4 25
 
7.2%
5 16
 
4.6%
7 15
 
4.3%
9 15
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 19
86.4%
. 2
 
9.1%
· 1
 
4.5%
Space Separator
ValueCountFrequency (%)
255
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1198
60.7%
Common 776
39.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 100
 
8.3%
구 99
 
8.3%
부 91
 
7.6%
동 85
 
7.1%
정 83
 
6.9%
산 81
 
6.8%
광 74
 
6.2%
역 74
 
6.2%
시 74
 
6.2%
로 72
 
6.0%
Other values (72) 365
30.5%
Common
ValueCountFrequency (%)
255
32.9%
1 94
 
12.1%
) 65
 
8.4%
( 65
 
8.4%
2 57
 
7.3%
8 41
 
5.3%
6 32
 
4.1%
0 26
 
3.4%
3 25
 
3.2%
4 25
 
3.2%
Other values (7) 91
 
11.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1198
60.7%
ASCII 776
39.3%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
255
32.9%
1 94
 
12.1%
) 65
 
8.4%
( 65
 
8.4%
2 57
 
7.3%
8 41
 
5.3%
6 32
 
4.1%
0 26
 
3.4%
3 25
 
3.2%
4 25
 
3.2%
Other values (7) 91
 
11.7%
Hangul
ValueCountFrequency (%)
금 100
 
8.3%
구 99
 
8.3%
부 91
 
7.6%
동 85
 
7.1%
정 83
 
6.9%
산 81
 
6.8%
광 74
 
6.2%
역 74
 
6.2%
시 74
 
6.2%
로 72
 
6.0%
Other values (72) 365
30.5%
None
ValueCountFrequency (%)
· 1
100.0%

연락처
Text

MISSING 

Distinct41
Distinct (%)97.6%
Missing32
Missing (%)43.2%
Memory size724.0 B
2023-12-12T19:22:34.632564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters504
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

Unique40 ?
Unique (%)95.2%

Sample

1st row051-508-0808
2nd row051-524-8001
3rd row051-528-4000
4th row051-514-5000
5th row051-522-5959
ValueCountFrequency (%)
051-582-5541 2
 
4.8%
051-527-0007 1
 
2.4%
051-508-0808 1
 
2.4%
051-524-7890 1
 
2.4%
051-528-9000 1
 
2.4%
051-513-2580 1
 
2.4%
051-519-2080 1
 
2.4%
051-311-2793 1
 
2.4%
051-522-4556 1
 
2.4%
051-523-5777 1
 
2.4%
Other values (31) 31
73.8%
2023-12-12T19:22:35.083775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 107
21.2%
0 87
17.3%
- 84
16.7%
1 74
14.7%
2 36
 
7.1%
8 29
 
5.8%
4 26
 
5.2%
3 22
 
4.4%
7 15
 
3.0%
6 13
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
83.3%
Dash Punctuation 84
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 107
25.5%
0 87
20.7%
1 74
17.6%
2 36
 
8.6%
8 29
 
6.9%
4 26
 
6.2%
3 22
 
5.2%
7 15
 
3.6%
6 13
 
3.1%
9 11
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 504
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 107
21.2%
0 87
17.3%
- 84
16.7%
1 74
14.7%
2 36
 
7.1%
8 29
 
5.8%
4 26
 
5.2%
3 22
 
4.4%
7 15
 
3.0%
6 13
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 504
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 107
21.2%
0 87
17.3%
- 84
16.7%
1 74
14.7%
2 36
 
7.1%
8 29
 
5.8%
4 26
 
5.2%
3 22
 
4.4%
7 15
 
3.0%
6 13
 
2.6%

Correlations

2023-12-12T19:22:35.203609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명(상호)주사무소소재지연락처
업체명(상호)1.0000.9940.995
주사무소소재지0.9941.0000.983
연락처0.9950.9831.000

Missing values

2023-12-12T19:22:32.545686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:22:32.630274image/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

업체명(상호)주사무소소재지연락처
0공팔카고크레인부산광역시 금정구 금강로751, 지하(청룡동, 대신빌라)051-508-0808
1대구화물부산광역시 금정구 공단로8번길 11(금사동)1층6호051-524-8001
2(주)성진화물부산광역시 금정구 개좌로 408번길051-528-4000
3강원화물부산광역시 금정구 중앙대로1826번길 28(구서동)051-514-5000
4(주)대전화물부산광역시 금정구 개좌로 408번길051-522-5959
5우진운수부산광역시 금정구 금사동 106-1 1층3호051-524-4005
6동성운수부산광역시 금정구 무학송로127-1(부곡동)051-517-1358
7일등종합물류부산광역시 금정구 구서동 81-11 2층051-517-3111
8유성운수부산광역시 금정구 공단로8번길 11(금사동) 1층 15호051-528-3000
9(주)남북통운부산광역시 금정구 무학송로 124(부곡동)051-513-2228
업체명(상호)주사무소소재지연락처
64㈜오릭스통운부산광역시 금정구 부곡온천천로180(부곡동)051-944-2424
65명품익스프레스부산광역시 금정구 삼차로 41-2(서동)<NA>
66로얄통운익스프레스부산광역시 금정구 개좌로258-13<NA>
67삼성이사클럽부산광역시 금정구 사천로3번길 28(금사동)<NA>
68영구크린239호점부산광역시 금정구 서동중심로22(서동)051-555-2323
69한일익스프레스부산광역시 금정구 금사로155-1(회동동)<NA>
70예스이사부산광역시 금정구 두실로7번길32(구서동)<NA>
71현대다이렉트 이사부산광역시 금정구 서동로66번길 6<NA>
72O.K이사박사부산광역시 금정구 개좌로 408, 106호(회동동, 회동동화물공영차고지)<NA>
73㈜금강트랜스부산광역시 금정구 개좌로 408, 110호(회동동)<NA>