Overview

Dataset statistics

Number of variables5
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory43.9 B

Variable types

Numeric1
Categorical1
Text2
DateTime1

Dataset

Description일반화물자동차운송사업자 현황 신청에 대한 진주시 관할 영업용 화물자동차 자료로 법인, 상호명, 주소 등을 제공합니다.
URLhttps://www.data.go.kr/data/15114729/fileData.do

Alerts

구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
화물자동차운송사업자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:31:34.517624
Analysis finished2023-12-12 00:31:34.977683
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T09:31:35.045156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-12T09:31:35.186884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
일반화물
46 

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 46
100.0%

Length

2023-12-12T09:31:35.315625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:31:35.396994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 46
100.0%

화물자동차운송사업자
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T09:31:35.595255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.3043478
Min length5

Characters and Unicode

Total characters336
Distinct characters79
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row(유)대륙운수
2nd row(유)제이투코리아
3rd row(주)거산종합물류
4th row(주)경남환경
5th row(주)남영운수
ValueCountFrequency (%)
유)대륙운수 1
 
2.2%
씨제이대한통운㈜진주지사 1
 
2.2%
형진운수(주 1
 
2.2%
대성운수(유 1
 
2.2%
대연운수㈜ 1
 
2.2%
대진기업㈜ 1
 
2.2%
도원운수(주 1
 
2.2%
삼양운수㈜ 1
 
2.2%
삼일운수㈜ 1
 
2.2%
세진운수건설(유 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T09:31:35.960854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 35
 
10.4%
) 35
 
10.4%
주 34
 
10.1%
운 22
 
6.5%
수 20
 
6.0%
진 12
 
3.6%
유 11
 
3.3%
㈜ 11
 
3.3%
물 9
 
2.7%
류 8
 
2.4%
Other values (69) 139
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
75.9%
Open Punctuation 35
 
10.4%
Close Punctuation 35
 
10.4%
Other Symbol 11
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 34
 
13.3%
운 22
 
8.6%
수 20
 
7.8%
진 12
 
4.7%
유 11
 
4.3%
물 9
 
3.5%
류 8
 
3.1%
대 7
 
2.7%
업 6
 
2.4%
에 5
 
2.0%
Other values (66) 121
47.5%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
79.2%
Common 70
 
20.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 34
 
12.8%
운 22
 
8.3%
수 20
 
7.5%
진 12
 
4.5%
유 11
 
4.1%
㈜ 11
 
4.1%
물 9
 
3.4%
류 8
 
3.0%
대 7
 
2.6%
업 6
 
2.3%
Other values (67) 126
47.4%
Common
ValueCountFrequency (%)
( 35
50.0%
) 35
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
75.9%
ASCII 70
 
20.8%
None 11
 
3.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 35
50.0%
) 35
50.0%
Hangul
ValueCountFrequency (%)
주 34
 
13.3%
운 22
 
8.6%
수 20
 
7.8%
진 12
 
4.7%
유 11
 
4.3%
물 9
 
3.5%
류 8
 
3.1%
대 7
 
2.7%
업 6
 
2.4%
에 5
 
2.0%
Other values (66) 121
47.5%
None
ValueCountFrequency (%)
㈜ 11
100.0%

주소
Text

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T09:31:36.225555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length44
Mean length29.217391
Min length20

Characters and Unicode

Total characters1344
Distinct characters117
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

Unique27 ?
Unique (%)58.7%

Sample

1st row경상남도 진주시 대신로 356 (하대동)
2nd row경상남도 진주시 상대로143번길 11, 주공아파트 1동 104호 (하대동)
3rd row경상남도 진주시 문산읍 동부로 802
4th row경상남도 진주시 진성면 진마대로 1257
5th row경상남도 진주시 미천면 향양로 416
ValueCountFrequency (%)
경상남도 46
 
17.2%
진주시 46
 
17.2%
상대동 12
 
4.5%
도동로 11
 
4.1%
131 11
 
4.1%
충무공동 5
 
1.9%
12 5
 
1.9%
문산읍 4
 
1.5%
1층 4
 
1.5%
상평동 3
 
1.1%
Other values (93) 121
45.1%
2023-12-12T09:31:36.619916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
222
 
16.5%
1 74
 
5.5%
상 65
 
4.8%
도 59
 
4.4%
동 58
 
4.3%
진 53
 
3.9%
주 51
 
3.8%
시 50
 
3.7%
남 48
 
3.6%
경 47
 
3.5%
Other values (107) 617
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 786
58.5%
Decimal Number 226
 
16.8%
Space Separator 222
 
16.5%
Close Punctuation 36
 
2.7%
Open Punctuation 36
 
2.7%
Other Punctuation 26
 
1.9%
Dash Punctuation 11
 
0.8%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 65
 
8.3%
도 59
 
7.5%
동 58
 
7.4%
진 53
 
6.7%
주 51
 
6.5%
시 50
 
6.4%
남 48
 
6.1%
경 47
 
6.0%
로 44
 
5.6%
대 24
 
3.1%
Other values (91) 287
36.5%
Decimal Number
ValueCountFrequency (%)
1 74
32.7%
2 30
13.3%
5 22
 
9.7%
3 21
 
9.3%
0 17
 
7.5%
6 17
 
7.5%
7 15
 
6.6%
4 15
 
6.6%
8 8
 
3.5%
9 7
 
3.1%
Space Separator
ValueCountFrequency (%)
222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 786
58.5%
Common 557
41.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 65
 
8.3%
도 59
 
7.5%
동 58
 
7.4%
진 53
 
6.7%
주 51
 
6.5%
시 50
 
6.4%
남 48
 
6.1%
경 47
 
6.0%
로 44
 
5.6%
대 24
 
3.1%
Other values (91) 287
36.5%
Common
ValueCountFrequency (%)
222
39.9%
1 74
 
13.3%
) 36
 
6.5%
( 36
 
6.5%
2 30
 
5.4%
, 26
 
4.7%
5 22
 
3.9%
3 21
 
3.8%
0 17
 
3.1%
6 17
 
3.1%
Other values (5) 56
 
10.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 786
58.5%
ASCII 558
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
222
39.8%
1 74
 
13.3%
) 36
 
6.5%
( 36
 
6.5%
2 30
 
5.4%
, 26
 
4.7%
5 22
 
3.9%
3 21
 
3.8%
0 17
 
3.0%
6 17
 
3.0%
Other values (6) 57
 
10.2%
Hangul
ValueCountFrequency (%)
상 65
 
8.3%
도 59
 
7.5%
동 58
 
7.4%
진 53
 
6.7%
주 51
 
6.5%
시 50
 
6.4%
남 48
 
6.1%
경 47
 
6.0%
로 44
 
5.6%
대 24
 
3.1%
Other values (91) 287
36.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2023-06-20 00:00:00
Maximum2023-06-20 00:00:00
2023-12-12T09:31:36.735400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:31:36.823543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:31:34.710785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:31:36.899416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번화물자동차운송사업자주소
연번1.0001.0000.703
화물자동차운송사업자1.0001.0001.000
주소0.7031.0001.000

Missing values

2023-12-12T09:31:34.820890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:31:34.938219image/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

연번구분화물자동차운송사업자주소데이터기준일자
01일반화물(유)대륙운수경상남도 진주시 대신로 356 (하대동)2023-06-20
12일반화물(유)제이투코리아경상남도 진주시 상대로143번길 11, 주공아파트 1동 104호 (하대동)2023-06-20
23일반화물(주)거산종합물류경상남도 진주시 문산읍 동부로 8022023-06-20
34일반화물(주)경남환경경상남도 진주시 진성면 진마대로 12572023-06-20
45일반화물(주)남영운수경상남도 진주시 미천면 향양로 4162023-06-20
56일반화물(주)덕운기업물류경상남도 진주시 순환로676번길 51 (이현동)2023-06-20
67일반화물(주)디에스로직스경상남도 진주시 문산읍 월아산로 11622023-06-20
78일반화물(주)세종환경개발경상남도 진주시 순환로553번길 7, 258호 (평거동, 한보하이타운)2023-06-20
89일반화물(주)신화물류경상남도 진주시 도동로 131, 진주화물터미널 (상대동)2023-06-20
910일반화물(주)에스에이물류경상남도 진주시 초전북로61번길 25-6, 1층 102호 (초전동)2023-06-20
연번구분화물자동차운송사업자주소데이터기준일자
3637일반화물㈜신용종합물류경상남도 진주시 문산읍 동부로326번길 112023-06-20
3738일반화물㈜유진유조경상남도 진주시 동진로 125, 4층 (상대동)2023-06-20
3839일반화물진산운수㈜경상남도 진주시 도동로 131 (상대동)2023-06-20
3940일반화물진일운수(주)경상남도 진주시 도동로 131 (상대동)2023-06-20
4041일반화물진주대익운수(주)경상남도 진주시 동부로169번길 12, 에이1805호 (충무공동)2023-06-20
4142일반화물진주대형렉카(주)경상남도 진주시 강변길20번길 2, 1층 (가좌동)2023-06-20
4243일반화물케이비물류(주)경상남도 진주시 문산읍 월아산로 11622023-06-20
4344일반화물형우운수(주)경상남도 진주시 진주대로 1278, 802호 (유곡동,유곡한보아파트)2023-06-20
4445일반화물형진운수(주)경상남도 진주시 진주대로 1278, 802호 (유곡동,유곡한보아파트)2023-06-20
4546일반화물흥진운수㈜경상남도 진주시 도동로 131 (상대동)2023-06-20