Overview

Dataset statistics

Number of variables6
Number of observations109
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Text2
Categorical3

Dataset

Description본 공공데이터는 일반화물자동차 업체 현황을 제공하고 있습니다. 업체의 화물자동차 보유 현황 및 주소 등의 정보를 제공하고 있습니다
Author전북특별자치도 완주군
URLhttps://www.data.go.kr/data/15114830/fileData.do

Alerts

면허종류 has constant value ""Constant
현재운영여부 has constant value ""Constant
주소 has 2 (1.8%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-29 23:10:21.020800
Analysis finished2024-04-29 23:10:22.901044
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-30T08:10:22.985279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.4
Q128
median55
Q382
95-th percentile103.6
Maximum109
Range108
Interquartile range (IQR)54

Descriptive statistics

Standard deviation31.609598
Coefficient of variation (CV)0.57471996
Kurtosis-1.2
Mean55
Median Absolute Deviation (MAD)27
Skewness0
Sum5995
Variance999.16667
MonotonicityStrictly increasing
2024-04-30T08:10:23.117806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (99) 99
90.8%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%

업체명
Text

Distinct107
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2024-04-30T08:10:23.360527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length7
Mean length7.559633
Min length4

Characters and Unicode

Total characters824
Distinct characters146
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

Unique105 ?
Unique (%)96.3%

Sample

1st row(주)푸른정화사
2nd row(유)포인트물류
3rd row라온로지스
4th row중부로지스(주)
5th row(주)용진운수
ValueCountFrequency (%)
유한회사 3
 
2.7%
신용운수 2
 
1.8%
주)기광 2
 
1.8%
유)고려인더 1
 
0.9%
유)제이슨로지스틱스 1
 
0.9%
유)대호건기 1
 
0.9%
주)광평특수화물 1
 
0.9%
유)동방운수 1
 
0.9%
유)백두물류 1
 
0.9%
유)고려화물 1
 
0.9%
Other values (99) 99
87.6%
2024-04-30T08:10:23.787650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 96
 
11.7%
) 96
 
11.7%
유 68
 
8.3%
주 40
 
4.9%
수 39
 
4.7%
운 35
 
4.2%
물 31
 
3.8%
류 22
 
2.7%
스 21
 
2.5%
지 15
 
1.8%
Other values (136) 361
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 627
76.1%
Open Punctuation 96
 
11.7%
Close Punctuation 96
 
11.7%
Space Separator 4
 
0.5%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 68
 
10.8%
주 40
 
6.4%
수 39
 
6.2%
운 35
 
5.6%
물 31
 
4.9%
류 22
 
3.5%
스 21
 
3.3%
지 15
 
2.4%
특 14
 
2.2%
대 13
 
2.1%
Other values (132) 329
52.5%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 627
76.1%
Common 197
 
23.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 68
 
10.8%
주 40
 
6.4%
수 39
 
6.2%
운 35
 
5.6%
물 31
 
4.9%
류 22
 
3.5%
스 21
 
3.3%
지 15
 
2.4%
특 14
 
2.2%
대 13
 
2.1%
Other values (132) 329
52.5%
Common
ValueCountFrequency (%)
( 96
48.7%
) 96
48.7%
4
 
2.0%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 627
76.1%
ASCII 197
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 96
48.7%
) 96
48.7%
4
 
2.0%
2 1
 
0.5%
Hangul
ValueCountFrequency (%)
유 68
 
10.8%
주 40
 
6.4%
수 39
 
6.2%
운 35
 
5.6%
물 31
 
4.9%
류 22
 
3.5%
스 21
 
3.3%
지 15
 
2.4%
특 14
 
2.2%
대 13
 
2.1%
Other values (132) 329
52.5%

면허종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
일반
109 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 109
100.0%

Length

2024-04-30T08:10:23.934412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:10:24.028699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 109
100.0%

차량대수
Categorical

Distinct43
Distinct (%)39.4%
Missing0
Missing (%)0.0%
Memory size1004.0 B
1 건
20 
2 건
12 
5 건
 
6
4 건
 
6
3 건
 
5
Other values (38)
60 

Length

Max length5
Median length3
Mean length3.4587156
Min length3

Unique

Unique23 ?
Unique (%)21.1%

Sample

1st row2 건
2nd row14 건
3rd row2 건
4th row6 건
5th row3 건

Common Values

ValueCountFrequency (%)
1 건 20
18.3%
2 건 12
 
11.0%
5 건 6
 
5.5%
4 건 6
 
5.5%
3 건 5
 
4.6%
7 건 4
 
3.7%
14 건 3
 
2.8%
29 건 3
 
2.8%
9 건 3
 
2.8%
8 건 3
 
2.8%
Other values (33) 44
40.4%

Length

2024-04-30T08:10:24.137159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건 109
50.0%
1 20
 
9.2%
2 12
 
5.5%
5 6
 
2.8%
4 6
 
2.8%
3 5
 
2.3%
7 4
 
1.8%
14 3
 
1.4%
29 3
 
1.4%
9 3
 
1.4%
Other values (34) 47
21.6%

주소
Text

MISSING 

Distinct71
Distinct (%)66.4%
Missing2
Missing (%)1.8%
Memory size1004.0 B
2024-04-30T08:10:24.463382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length25.168224
Min length20

Characters and Unicode

Total characters2693
Distinct characters134
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

Unique55 ?
Unique (%)51.4%

Sample

1st row전북특별자치도 완주군 고산면 읍내리 35-17
2nd row전북특별자치도 완주군 봉동읍 완주산단1로 37
3rd row전북특별자치도 완주군 봉동읍 테크노밸리2로 32, 2동
4th row전북특별자치도 완주군 봉동읍 테크노밸리3로 76, 재삼물류
5th row전북특별자치도 완주군 봉동읍 과학로 752, 삼승화물
ValueCountFrequency (%)
전북특별자치도 103
18.6%
완주군 103
18.6%
봉동읍 44
 
8.0%
삼례읍 34
 
6.1%
삼봉로 13
 
2.4%
이서면 9
 
1.6%
과학로 9
 
1.6%
19 7
 
1.3%
별산길 7
 
1.3%
185 6
 
1.1%
Other values (133) 218
39.4%
2024-04-30T08:10:24.955364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
446
 
16.6%
주 123
 
4.6%
완 117
 
4.3%
별 114
 
4.2%
특 107
 
4.0%
자 105
 
3.9%
전 104
 
3.9%
치 103
 
3.8%
도 103
 
3.8%
군 103
 
3.8%
Other values (124) 1268
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1854
68.8%
Space Separator 446
 
16.6%
Decimal Number 346
 
12.8%
Dash Punctuation 18
 
0.7%
Other Punctuation 14
 
0.5%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 123
 
6.6%
완 117
 
6.3%
별 114
 
6.1%
특 107
 
5.8%
자 105
 
5.7%
전 104
 
5.6%
치 103
 
5.6%
도 103
 
5.6%
군 103
 
5.6%
북 103
 
5.6%
Other values (106) 772
41.6%
Decimal Number
ValueCountFrequency (%)
1 68
19.7%
7 51
14.7%
2 47
13.6%
3 36
10.4%
5 36
10.4%
6 28
8.1%
0 25
 
7.2%
8 20
 
5.8%
9 19
 
5.5%
4 16
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
L 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
446
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1854
68.8%
Common 836
31.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 123
 
6.6%
완 117
 
6.3%
별 114
 
6.1%
특 107
 
5.8%
자 105
 
5.7%
전 104
 
5.6%
치 103
 
5.6%
도 103
 
5.6%
군 103
 
5.6%
북 103
 
5.6%
Other values (106) 772
41.6%
Common
ValueCountFrequency (%)
446
53.3%
1 68
 
8.1%
7 51
 
6.1%
2 47
 
5.6%
3 36
 
4.3%
5 36
 
4.3%
6 28
 
3.3%
0 25
 
3.0%
8 20
 
2.4%
9 19
 
2.3%
Other values (5) 60
 
7.2%
Latin
ValueCountFrequency (%)
N 1
33.3%
L 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1854
68.8%
ASCII 839
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
446
53.2%
1 68
 
8.1%
7 51
 
6.1%
2 47
 
5.6%
3 36
 
4.3%
5 36
 
4.3%
6 28
 
3.3%
0 25
 
3.0%
8 20
 
2.4%
9 19
 
2.3%
Other values (8) 63
 
7.5%
Hangul
ValueCountFrequency (%)
주 123
 
6.6%
완 117
 
6.3%
별 114
 
6.1%
특 107
 
5.8%
자 105
 
5.7%
전 104
 
5.6%
치 103
 
5.6%
도 103
 
5.6%
군 103
 
5.6%
북 103
 
5.6%
Other values (106) 772
41.6%

현재운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
운영중
109 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 109
100.0%

Length

2024-04-30T08:10:25.093559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:10:25.187405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 109
100.0%

Interactions

2024-04-30T08:10:22.561243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:10:25.259628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호차량대수주소
번호1.0000.2910.712
차량대수0.2911.0000.000
주소0.7120.0001.000
2024-04-30T08:10:25.346665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호차량대수
번호1.0000.044
차량대수0.0441.000

Missing values

2024-04-30T08:10:22.730034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:10:22.858274image/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

번호업체명면허종류차량대수주소현재운영여부
01(주)푸른정화사일반2 건전북특별자치도 완주군 고산면 읍내리 35-17운영중
12(유)포인트물류일반14 건전북특별자치도 완주군 봉동읍 완주산단1로 37운영중
23라온로지스일반2 건전북특별자치도 완주군 봉동읍 테크노밸리2로 32, 2동운영중
34중부로지스(주)일반6 건전북특별자치도 완주군 봉동읍 테크노밸리3로 76, 재삼물류운영중
45(주)용진운수일반3 건전북특별자치도 완주군 봉동읍 과학로 752, 삼승화물운영중
56(유)장계운수일반32 건전북특별자치도 완주군 봉동읍 완주산단1로 37, 영진화물운영중
67(유)흥인물류일반2 건전북특별자치도 완주군 봉동읍 완주산단1로 37운영중
78(유)광전특수화물일반43 건전북특별자치도 완주군 삼례읍 별산길 19운영중
89(유)정상로지스틱스일반1 건전북특별자치도 완주군 봉동읍 과학로 854, 주식회사케이티 2층운영중
910(주)대원환경일반2 건전북특별자치도 완주군 봉동읍 은상길 40운영중
번호업체명면허종류차량대수주소현재운영여부
99100(유)모악특수일반4 건전북특별자치도 완주군 이서면 대농금계길 49운영중
100101(유)은진산업일반2 건전북특별자치도 완주군 봉동읍 봉동로 772-57 (유한회사은진산업)운영중
101102(주)삼일물류일반7 건전북특별자치도 완주군 삼례읍 하리로 138운영중
102103(주)삼덕지앨에스일반12 건전북특별자치도 완주군 봉동읍 과학로 802운영중
103104(주)만석운수일반29 건전북특별자치도 완주군 삼례읍 삼봉로 185운영중
104105(유)세한일반11 건전북특별자치도 완주군 이서면 이서남로 361-30운영중
105106(유)완산특수운송사일반49 건전북특별자치도 완주군 봉동읍 용화길 21운영중
106107(유)전주추레라일반7 건전북특별자치도 완주군 이서면 이서남로 50운영중
107108(유)풍남특수일반115 건전북특별자치도 완주군 이서면 이서남로 361-30운영중
108109(유)삼례운수일반47 건전북특별자치도 완주군 삼례읍 삼봉로 191운영중