Overview

Dataset statistics

Number of variables4
Number of observations73
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory33.8 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시 사상구 관내 일반화물운송사업 법인(업종구분, 업체명, 사무소의 소재지)의 현황 및 정보 등을 제공합니다.
URLhttps://www.data.go.kr/data/15025715/fileData.do

Alerts

면허종류 has constant value ""Constant
법인명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:16:36.029378
Analysis finished2023-12-12 10:16:36.729460
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

면허종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
일반화물
73 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반화물 73
100.0%

Length

2023-12-12T19:16:36.805098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:16:36.913555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 73
100.0%

법인명
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T19:16:37.261288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length6.1232877
Min length3

Characters and Unicode

Total characters447
Distinct characters125
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

Unique73 ?
Unique (%)100.0%

Sample

1st row㈜대현건기렉카
2nd row㈜대현통운
3rd row동방화물자동차㈜
4th row삼덕운수㈜
5th row서북운수㈜
ValueCountFrequency (%)
㈜대현건기렉카 1
 
1.4%
㈜차이소 1
 
1.4%
그레이스로지스㈜ 1
 
1.4%
㈜경영특수 1
 
1.4%
주)동부익스프레스이사 1
 
1.4%
㈜금호티엘에스 1
 
1.4%
㈜부산경남스카이연합 1
 
1.4%
㈜경풍 1
 
1.4%
유)동양운수 1
 
1.4%
㈜대현안전운수 1
 
1.4%
Other values (64) 64
86.5%
2023-12-12T19:16:37.845330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 69
 
15.4%
스 21
 
4.7%
수 17
 
3.8%
물 15
 
3.4%
운 14
 
3.1%
류 10
 
2.2%
로 10
 
2.2%
대 8
 
1.8%
산 8
 
1.8%
특 7
 
1.6%
Other values (115) 268
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
80.1%
Other Symbol 69
 
15.4%
Open Punctuation 6
 
1.3%
Close Punctuation 6
 
1.3%
Space Separator 5
 
1.1%
Uppercase Letter 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 21
 
5.9%
수 17
 
4.7%
물 15
 
4.2%
운 14
 
3.9%
류 10
 
2.8%
로 10
 
2.8%
대 8
 
2.2%
산 8
 
2.2%
특 7
 
2.0%
지 7
 
2.0%
Other values (108) 241
67.3%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 427
95.5%
Common 18
 
4.0%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 69
 
16.2%
스 21
 
4.9%
수 17
 
4.0%
물 15
 
3.5%
운 14
 
3.3%
류 10
 
2.3%
로 10
 
2.3%
대 8
 
1.9%
산 8
 
1.9%
특 7
 
1.6%
Other values (109) 248
58.1%
Common
ValueCountFrequency (%)
( 6
33.3%
) 6
33.3%
5
27.8%
, 1
 
5.6%
Latin
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
80.1%
None 69
 
15.4%
ASCII 20
 
4.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 69
100.0%
Hangul
ValueCountFrequency (%)
스 21
 
5.9%
수 17
 
4.7%
물 15
 
4.2%
운 14
 
3.9%
류 10
 
2.8%
로 10
 
2.8%
대 8
 
2.2%
산 8
 
2.2%
특 7
 
2.0%
지 7
 
2.0%
Other values (108) 241
67.3%
ASCII
ValueCountFrequency (%)
( 6
30.0%
) 6
30.0%
5
25.0%
, 1
 
5.0%
M 1
 
5.0%
S 1
 
5.0%

차량대수
Text

Distinct63
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T19:16:38.132095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length25
Mean length12.931507
Min length2

Characters and Unicode

Total characters944
Distinct characters83
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)79.5%

Sample

1st row12 (카1, 구난 11)
2nd row1(카고1)
3rd row46(카고 41, 3인승 밴1, 트랙터4)
4th row85(카고)
5th row12대(카고12)
ValueCountFrequency (%)
1대 7
 
5.3%
샤시2 3
 
2.3%
샤시3 3
 
2.3%
트랙터6 2
 
1.5%
트랙터5 2
 
1.5%
1조(트랙터1 2
 
1.5%
2조(트랙터2 2
 
1.5%
2대(암롤 2
 
1.5%
트레일러5 2
 
1.5%
샤시11 2
 
1.5%
Other values (99) 105
79.5%
2023-12-12T19:16:38.583147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 86
 
9.1%
, 67
 
7.1%
) 61
 
6.5%
( 61
 
6.5%
59
 
6.2%
대 53
 
5.6%
2 48
 
5.1%
고 43
 
4.6%
카 41
 
4.3%
트 38
 
4.0%
Other values (73) 387
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
44.4%
Decimal Number 265
28.1%
Other Punctuation 70
 
7.4%
Close Punctuation 61
 
6.5%
Open Punctuation 61
 
6.5%
Space Separator 59
 
6.2%
Uppercase Letter 5
 
0.5%
Math Symbol 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 53
 
12.6%
고 43
 
10.3%
카 41
 
9.8%
트 38
 
9.1%
터 27
 
6.4%
랙 24
 
5.7%
샤 19
 
4.5%
시 19
 
4.5%
레 10
 
2.4%
일 9
 
2.1%
Other values (51) 136
32.5%
Decimal Number
ValueCountFrequency (%)
1 86
32.5%
2 48
18.1%
3 30
 
11.3%
4 23
 
8.7%
5 20
 
7.5%
6 17
 
6.4%
8 14
 
5.3%
9 11
 
4.2%
0 10
 
3.8%
7 6
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
40.0%
D 1
20.0%
T 1
20.0%
J 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 67
95.7%
: 2
 
2.9%
/ 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 520
55.1%
Hangul 419
44.4%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 53
 
12.6%
고 43
 
10.3%
카 41
 
9.8%
트 38
 
9.1%
터 27
 
6.4%
랙 24
 
5.7%
샤 19
 
4.5%
시 19
 
4.5%
레 10
 
2.4%
일 9
 
2.1%
Other values (51) 136
32.5%
Common
ValueCountFrequency (%)
1 86
16.5%
, 67
12.9%
) 61
11.7%
( 61
11.7%
59
11.3%
2 48
9.2%
3 30
 
5.8%
4 23
 
4.4%
5 20
 
3.8%
6 17
 
3.3%
Other values (8) 48
9.2%
Latin
ValueCountFrequency (%)
E 2
40.0%
D 1
20.0%
T 1
20.0%
J 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 525
55.6%
Hangul 419
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 86
16.4%
, 67
12.8%
) 61
11.6%
( 61
11.6%
59
11.2%
2 48
9.1%
3 30
 
5.7%
4 23
 
4.4%
5 20
 
3.8%
6 17
 
3.2%
Other values (12) 53
10.1%
Hangul
ValueCountFrequency (%)
대 53
 
12.6%
고 43
 
10.3%
카 41
 
9.8%
트 38
 
9.1%
터 27
 
6.4%
랙 24
 
5.7%
샤 19
 
4.5%
시 19
 
4.5%
레 10
 
2.4%
일 9
 
2.1%
Other values (51) 136
32.5%

주사무소
Text

Distinct60
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-12T19:16:38.983689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length31.958904
Min length22

Characters and Unicode

Total characters2333
Distinct characters108
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)69.9%

Sample

1st row부산광역시 사상구 가야대로282번길 38, 2층 (주례동)
2nd row부산광역시 사상구 낙동대로 753, 2층 202호(엄궁동, 알뜰주유소)
3rd row부산광역시 사상구 엄궁로 206, 섬진아파트 4차 204호(엄궁동)
4th row부산광역시 사상구 가야대로 85(감전동)
5th row부산광역시 사상구 가야대로 133번길 16(감전동)
ValueCountFrequency (%)
부산광역시 73
 
18.0%
사상구 72
 
17.7%
낙동대로 12
 
3.0%
강변대로 11
 
2.7%
감전동 9
 
2.2%
570 8
 
2.0%
부건빌딩 8
 
2.0%
131 6
 
1.5%
가야대로 6
 
1.5%
4동 6
 
1.5%
Other values (131) 195
48.0%
2023-12-12T19:16:39.566913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
 
14.3%
동 104
 
4.5%
부 92
 
3.9%
산 90
 
3.9%
상 81
 
3.5%
광 78
 
3.3%
시 75
 
3.2%
구 74
 
3.2%
) 73
 
3.1%
사 73
 
3.1%
Other values (98) 1260
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1384
59.3%
Decimal Number 396
 
17.0%
Space Separator 333
 
14.3%
Close Punctuation 73
 
3.1%
Open Punctuation 73
 
3.1%
Other Punctuation 68
 
2.9%
Dash Punctuation 5
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 104
 
7.5%
부 92
 
6.6%
산 90
 
6.5%
상 81
 
5.9%
광 78
 
5.6%
시 75
 
5.4%
구 74
 
5.3%
사 73
 
5.3%
역 73
 
5.3%
로 73
 
5.3%
Other values (81) 571
41.3%
Decimal Number
ValueCountFrequency (%)
3 60
15.2%
1 59
14.9%
2 58
14.6%
0 53
13.4%
5 41
10.4%
7 32
8.1%
4 30
7.6%
8 23
 
5.8%
6 22
 
5.6%
9 18
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 67
98.5%
@ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
333
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1383
59.3%
Common 948
40.6%
Latin 1
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 104
 
7.5%
부 92
 
6.7%
산 90
 
6.5%
상 81
 
5.9%
광 78
 
5.6%
시 75
 
5.4%
구 74
 
5.4%
사 73
 
5.3%
역 73
 
5.3%
로 73
 
5.3%
Other values (80) 570
41.2%
Common
ValueCountFrequency (%)
333
35.1%
) 73
 
7.7%
( 73
 
7.7%
, 67
 
7.1%
3 60
 
6.3%
1 59
 
6.2%
2 58
 
6.1%
0 53
 
5.6%
5 41
 
4.3%
7 32
 
3.4%
Other values (6) 99
 
10.4%
Latin
ValueCountFrequency (%)
A 1
100.0%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1383
59.3%
ASCII 949
40.7%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
35.1%
) 73
 
7.7%
( 73
 
7.7%
, 67
 
7.1%
3 60
 
6.3%
1 59
 
6.2%
2 58
 
6.1%
0 53
 
5.6%
5 41
 
4.3%
7 32
 
3.4%
Other values (7) 100
 
10.5%
Hangul
ValueCountFrequency (%)
동 104
 
7.5%
부 92
 
6.7%
산 90
 
6.5%
상 81
 
5.9%
광 78
 
5.6%
시 75
 
5.4%
구 74
 
5.4%
사 73
 
5.3%
역 73
 
5.3%
로 73
 
5.3%
Other values (80) 570
41.2%
CJK
ValueCountFrequency (%)
內 1
100.0%

Correlations

2023-12-12T19:16:39.699458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인명차량대수주사무소
법인명1.0001.0001.000
차량대수1.0001.0000.945
주사무소1.0000.9451.000

Missing values

2023-12-12T19:16:36.559517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:16:36.689415image/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

면허종류법인명차량대수주사무소
0일반화물㈜대현건기렉카12 (카1, 구난 11)부산광역시 사상구 가야대로282번길 38, 2층 (주례동)
1일반화물㈜대현통운1(카고1)부산광역시 사상구 낙동대로 753, 2층 202호(엄궁동, 알뜰주유소)
2일반화물동방화물자동차㈜46(카고 41, 3인승 밴1, 트랙터4)부산광역시 사상구 엄궁로 206, 섬진아파트 4차 204호(엄궁동)
3일반화물삼덕운수㈜85(카고)부산광역시 사상구 가야대로 85(감전동)
4일반화물서북운수㈜12대(카고12)부산광역시 사상구 가야대로 133번길 16(감전동)
5일반화물㈜협전로지스4대(카고4)부산광역시 사상구 강변대로 570,409호(엄궁동, 부건빌딩)
6일반화물진흥트레일러㈜15대(트랙터15, 샤시11)부산광역시 사상구 가야대로 133번길 16(감전동)
7일반화물㈜통일특수70 (카고54, 트랙터7, 트레일러9)부산광역시 사상구 강변대로 570, 부건빌딩 501호(엄궁동)
8일반화물해림운수㈜65(카고19, 트렉터22, 트레일러23, 냉동1)부산광역시 사상구 엄궁로 206, 섬진아파트 4차 204호(엄궁동)
9일반화물한덕물류㈜7대(카고7)부산광역시 사상구 강변대로 570, 507호(엄궁동)
면허종류법인명차량대수주사무소
63일반화물파인아트부산㈜1대부산광역시 사상구 대동로 303, 302호 (감전동, 부산디지털밸리)
64일반화물은호물류㈜4대(카고)부산광역시 사상구 새벽로 131, 4동 225호 (감전동)
65일반화물영롱물류㈜1조(트랙터+콘테이너샤시)부산광역시 사상구 대동로159번길 13, 404호(학장동, 뷰리브빌라)
66일반화물㈜더좋은물류18대(카고13, 트랙터3,콘테이너샤시2)부산광역시 사상구 광장로37번길 71, 2층(괘법동)
67일반화물(주)한일로지스틱스2조(트랙터2, 샤시2)부산광역시 사상구 새벽로 131, 4동 225호 (감전동, 부산산업용재유통상가)
68일반화물㈜세영5대(카고4, 트렉터1, 샤시1)부산광역시 사상구 낙동대로 846(감전동)
69일반화물㈜하람로지스(구, 금마로지스틱㈜)2대(트랙터2, 샤시1)부산광역시 사상구 장인로77번길 47(학장동)
70일반화물㈜건보5대(카고5)+D19E191:J191부산광역시 사상구 괘감로 37, 14동 203호(괘법동, 산업용품유통상가)
71일반화물덕진상운㈜1조(트랙터+콘테이너샤시)부산광역시 사상구 사상로104번길 36, 1층(감전동)
72일반화물대도하이젠㈜12대(트렉트4, 트레일러8)부산광역시 사상구 학감대로 167(학장동)