Overview

Dataset statistics

Number of variables3
Number of observations94
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory25.4 B

Variable types

Categorical1
Text2

Dataset

Description부산광역시 사상구 관내에 위치하고 있는 화물운송주선업체(업종, 상호, 업체주소 등)의 정보 및 현황을 제공합니다.
URLhttps://www.data.go.kr/data/15025714/fileData.do

Alerts

업종 is highly imbalanced (91.5%)Imbalance

Reproduction

Analysis started2023-12-12 14:44:09.769267
Analysis finished2023-12-12 14:44:10.609421
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
주선업
93 
주선입
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
주선업 93
98.9%
주선입 1
 
1.1%

Length

2023-12-12T23:44:10.738134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:44:10.886722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주선업 93
98.9%
주선입 1
 
1.1%

상호
Text

Distinct93
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-12T23:44:11.158459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.8085106
Min length3

Characters and Unicode

Total characters546
Distinct characters128
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)97.9%

Sample

1st row대가운수㈜
2nd row영남고속화물
3rd row서부화물
4th row전국통운
5th row현대대동화물트랜스
ValueCountFrequency (%)
에스디로지스 2
 
2.1%
광명종합화물 1
 
1.0%
해동종합물류 1
 
1.0%
㈜꼬레아티에스 1
 
1.0%
㈜대한기업 1
 
1.0%
씨앤에이물류 1
 
1.0%
주)jw로직스 1
 
1.0%
팔천콜화물 1
 
1.0%
㈜금호티엘에스 1
 
1.0%
합동익스프레스 1
 
1.0%
Other values (85) 85
88.5%
2023-12-12T23:44:11.568034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 47
 
8.6%
물 45
 
8.2%
화 30
 
5.5%
㈜ 26
 
4.8%
동 17
 
3.1%
류 15
 
2.7%
로 14
 
2.6%
레 13
 
2.4%
프 12
 
2.2%
익 12
 
2.2%
Other values (118) 315
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 499
91.4%
Other Symbol 26
 
4.8%
Close Punctuation 6
 
1.1%
Open Punctuation 6
 
1.1%
Space Separator 5
 
0.9%
Uppercase Letter 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 47
 
9.4%
물 45
 
9.0%
화 30
 
6.0%
동 17
 
3.4%
류 15
 
3.0%
로 14
 
2.8%
레 13
 
2.6%
프 12
 
2.4%
익 12
 
2.4%
지 9
 
1.8%
Other values (110) 285
57.1%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
J 1
25.0%
L 1
25.0%
G 1
25.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
96.2%
Common 17
 
3.1%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 47
 
9.0%
물 45
 
8.6%
화 30
 
5.7%
㈜ 26
 
5.0%
동 17
 
3.2%
류 15
 
2.9%
로 14
 
2.7%
레 13
 
2.5%
프 12
 
2.3%
익 12
 
2.3%
Other values (111) 294
56.0%
Latin
ValueCountFrequency (%)
W 1
25.0%
J 1
25.0%
L 1
25.0%
G 1
25.0%
Common
ValueCountFrequency (%)
) 6
35.3%
( 6
35.3%
5
29.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 499
91.4%
None 26
 
4.8%
ASCII 21
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 47
 
9.4%
물 45
 
9.0%
화 30
 
6.0%
동 17
 
3.4%
류 15
 
3.0%
로 14
 
2.8%
레 13
 
2.6%
프 12
 
2.4%
익 12
 
2.4%
지 9
 
1.8%
Other values (110) 285
57.1%
None
ValueCountFrequency (%)
㈜ 26
100.0%
ASCII
ValueCountFrequency (%)
) 6
28.6%
( 6
28.6%
5
23.8%
W 1
 
4.8%
J 1
 
4.8%
L 1
 
4.8%
G 1
 
4.8%

주소
Text

Distinct91
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-12T23:44:11.854806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length25.787234
Min length15

Characters and Unicode

Total characters2424
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)93.6%

Sample

1st row사상구 모라로 85-16 (모라동)
2nd row사상구 학장로 273(학장동)
3rd row사상구 낙동대로 1366번길 55(삼락동)
4th row사상구 괘감로 37, 25동 222호 (괘법동, 부산산업용품유통상가)
5th row사상구 학장로 254-5(주례동)
ValueCountFrequency (%)
사상구 94
 
22.8%
낙동대로 15
 
3.6%
부산광역시 13
 
3.1%
37 8
 
1.9%
강변대로 8
 
1.9%
570 8
 
1.9%
백양대로 8
 
1.9%
감전동 7
 
1.7%
괘감로 7
 
1.7%
새벽로 6
 
1.5%
Other values (180) 239
57.9%
2023-12-12T23:44:12.325502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
 
13.3%
동 137
 
5.7%
상 115
 
4.7%
사 102
 
4.2%
로 94
 
3.9%
) 94
 
3.9%
( 94
 
3.9%
구 94
 
3.9%
1 92
 
3.8%
, 77
 
3.2%
Other values (89) 1202
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1308
54.0%
Decimal Number 500
 
20.6%
Space Separator 323
 
13.3%
Close Punctuation 94
 
3.9%
Open Punctuation 94
 
3.9%
Other Punctuation 78
 
3.2%
Dash Punctuation 21
 
0.9%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 137
 
10.5%
상 115
 
8.8%
사 102
 
7.8%
로 94
 
7.2%
구 94
 
7.2%
대 49
 
3.7%
감 41
 
3.1%
번 39
 
3.0%
길 39
 
3.0%
호 36
 
2.8%
Other values (69) 562
43.0%
Decimal Number
ValueCountFrequency (%)
1 92
18.4%
2 60
12.0%
0 57
11.4%
3 56
11.2%
9 47
9.4%
5 47
9.4%
7 41
8.2%
4 39
7.8%
6 31
 
6.2%
8 30
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
B 2
33.3%
D 1
16.7%
C 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 77
98.7%
? 1
 
1.3%
Space Separator
ValueCountFrequency (%)
323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1308
54.0%
Common 1110
45.8%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 137
 
10.5%
상 115
 
8.8%
사 102
 
7.8%
로 94
 
7.2%
구 94
 
7.2%
대 49
 
3.7%
감 41
 
3.1%
번 39
 
3.0%
길 39
 
3.0%
호 36
 
2.8%
Other values (69) 562
43.0%
Common
ValueCountFrequency (%)
323
29.1%
) 94
 
8.5%
( 94
 
8.5%
1 92
 
8.3%
, 77
 
6.9%
2 60
 
5.4%
0 57
 
5.1%
3 56
 
5.0%
9 47
 
4.2%
5 47
 
4.2%
Other values (6) 163
14.7%
Latin
ValueCountFrequency (%)
A 2
33.3%
B 2
33.3%
D 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1308
54.0%
ASCII 1116
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
28.9%
) 94
 
8.4%
( 94
 
8.4%
1 92
 
8.2%
, 77
 
6.9%
2 60
 
5.4%
0 57
 
5.1%
3 56
 
5.0%
9 47
 
4.2%
5 47
 
4.2%
Other values (10) 169
15.1%
Hangul
ValueCountFrequency (%)
동 137
 
10.5%
상 115
 
8.8%
사 102
 
7.8%
로 94
 
7.2%
구 94
 
7.2%
대 49
 
3.7%
감 41
 
3.1%
번 39
 
3.0%
길 39
 
3.0%
호 36
 
2.8%
Other values (69) 562
43.0%

Correlations

2023-12-12T23:44:12.424018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종상호주소
업종1.0001.0001.000
상호1.0001.0000.997
주소1.0000.9971.000

Missing values

2023-12-12T23:44:10.480570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:44:10.569506image/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

업종상호주소
0주선업대가운수㈜사상구 모라로 85-16 (모라동)
1주선업영남고속화물사상구 학장로 273(학장동)
2주선업서부화물사상구 낙동대로 1366번길 55(삼락동)
3주선업전국통운사상구 괘감로 37, 25동 222호 (괘법동, 부산산업용품유통상가)
4주선업현대대동화물트랜스사상구 학장로 254-5(주례동)
5주선업㈜우리들기업사상구 삼덕로 96(덕포동)
6주선업오일고속화물사상구 새벽로 121번길 104(감전동)
7주선업공동화물사상구 백양대로 646번 나길 61(괘법동)
8주선업우성익스프레스사상구 백양대로 458, 1-7호(주례동, 동일아파트상가)
9주선업대성고속화물사상구 장인로 78번길 7( 학장동)
업종상호주소
84주선업가나항공화물부산광역시 사상구 학장로169번길 8(학장동)
85주선업㈜세영사상구 낙동대로 846 (감전동)
86주선업부산화물부산광역시 사상구 낙동대로 910, A-181?182호(감전동,마트월드)
87주선업한라로지스부산광역시 사상구 학장로 107, 2층(학장동)
88주선업㈜건보부산광역시 사상구 괘감로 37, 14동 203호(괘법동,산업용품유통상가)
89주선업주식회사 동행물류부산광역시 사상구 괘감로 37, 산업빌딩 702-1호 (괘법동)
90주선업가나운송부산광역시 사상구 낙동대로 910, B-175호(감전동,마트월드)
91주선업부산사랑이사부산광역시 사상구 새벽로 131, 4동 224호(감전동, 부산산업용재유통상가)
92주선업제주태영물류부산광역시 사상구 괘감로 37, 25동 205호(괘법동, 부산산업용품유통상가)
93주선업삼산고속화물㈜부산광역시 사상구 낙동대로970번길 86(감전동)