Overview

Dataset statistics

Number of variables7
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory64.0 B

Variable types

Numeric2
Text2
Categorical3

Dataset

Description옥천군일반화물 자동차 운송 사업자에 대한 내역을 나타냅니다. 상호, 사업의종류, 차량대수, 주사무소도로명주소, 영업상태, 기준일자를 확인 가능합니다.
URLhttps://www.data.go.kr/data/15114714/fileData.do

Alerts

사업의종류 has constant value ""Constant
영업상태 has constant value ""Constant
기준일자 has constant value ""Constant
연번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:54:04.061950
Analysis finished2023-12-12 22:54:04.738453
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T07:54:04.790980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2023-12-13T07:54:04.894218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

상호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:54:05.077551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.7272727
Min length5

Characters and Unicode

Total characters170
Distinct characters66
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row(주)한빛물류
2nd row(주)라훈
3rd row성화비투비로지스(주)
4th row(주)정원운수
5th row(주)구일통운
ValueCountFrequency (%)
주)한빛물류 1
 
4.2%
주)라훈 1
 
4.2%
㈜옥천특수렉카 1
 
4.2%
현대화물운수(주 1
 
4.2%
홍명통운㈜ 1
 
4.2%
㈜이트랜스 1
 
4.2%
주)한우리운수 1
 
4.2%
주)원네트웍스 1
 
4.2%
주)구일운수 1
 
4.2%
충북지점 1
 
4.2%
Other values (14) 14
58.3%
2023-12-13T07:54:05.382096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 19
 
11.2%
) 19
 
11.2%
주 18
 
10.6%
스 8
 
4.7%
운 7
 
4.1%
수 6
 
3.5%
물 5
 
2.9%
지 4
 
2.4%
로 4
 
2.4%
대 3
 
1.8%
Other values (56) 77
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127
74.7%
Open Punctuation 19
 
11.2%
Close Punctuation 19
 
11.2%
Other Symbol 3
 
1.8%
Space Separator 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
14.2%
스 8
 
6.3%
운 7
 
5.5%
수 6
 
4.7%
물 5
 
3.9%
지 4
 
3.1%
로 4
 
3.1%
대 3
 
2.4%
화 3
 
2.4%
일 3
 
2.4%
Other values (52) 66
52.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
76.5%
Common 40
 
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
13.8%
스 8
 
6.2%
운 7
 
5.4%
수 6
 
4.6%
물 5
 
3.8%
지 4
 
3.1%
로 4
 
3.1%
대 3
 
2.3%
화 3
 
2.3%
일 3
 
2.3%
Other values (53) 69
53.1%
Common
ValueCountFrequency (%)
( 19
47.5%
) 19
47.5%
2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127
74.7%
ASCII 40
 
23.5%
None 3
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 19
47.5%
) 19
47.5%
2
 
5.0%
Hangul
ValueCountFrequency (%)
주 18
 
14.2%
스 8
 
6.3%
운 7
 
5.5%
수 6
 
4.7%
물 5
 
3.9%
지 4
 
3.1%
로 4
 
3.1%
대 3
 
2.4%
화 3
 
2.4%
일 3
 
2.4%
Other values (52) 66
52.0%
None
ValueCountFrequency (%)
㈜ 3
100.0%

사업의종류
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
(구)일반화물
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(구)일반화물
2nd row(구)일반화물
3rd row(구)일반화물
4th row(구)일반화물
5th row(구)일반화물

Common Values

ValueCountFrequency (%)
(구)일반화물 22
100.0%

Length

2023-12-13T07:54:05.519413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:54:05.604359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구)일반화물 22
100.0%

차량대수
Real number (ℝ)

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.909091
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T07:54:05.694230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median19.5
Q334.75
95-th percentile55.75
Maximum65
Range64
Interquartile range (IQR)31.75

Descriptive statistics

Standard deviation20.205867
Coefficient of variation (CV)0.92225948
Kurtosis-0.69846321
Mean21.909091
Median Absolute Deviation (MAD)16.5
Skewness0.65699968
Sum482
Variance408.27706
MonotonicityNot monotonic
2023-12-13T07:54:05.806912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 4
18.2%
3 3
13.6%
6 2
 
9.1%
56 1
 
4.5%
47 1
 
4.5%
65 1
 
4.5%
38 1
 
4.5%
24 1
 
4.5%
31 1
 
4.5%
23 1
 
4.5%
Other values (6) 6
27.3%
ValueCountFrequency (%)
1 4
18.2%
3 3
13.6%
6 2
9.1%
14 1
 
4.5%
17 1
 
4.5%
22 1
 
4.5%
23 1
 
4.5%
24 1
 
4.5%
31 1
 
4.5%
34 1
 
4.5%
ValueCountFrequency (%)
65 1
4.5%
56 1
4.5%
51 1
4.5%
47 1
4.5%
38 1
4.5%
35 1
4.5%
34 1
4.5%
31 1
4.5%
24 1
4.5%
23 1
4.5%

주사무소도로명주소
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T07:54:06.000946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28.5
Mean length28.272727
Min length19

Characters and Unicode

Total characters622
Distinct characters98
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

Unique20 ?
Unique (%)90.9%

Sample

1st row충청북도 옥천군 옥천읍 옥천농공길 99, 공장
2nd row충청북도 옥천군 옥천읍 중앙로 135, 휴게편의시설 101호
3rd row충청북도 옥천군 옥천읍 서대구일로 279-5 (택배물류창고)
4th row충청북도 옥천군 옥천읍 옥천동이로 355 (특장 화물차 매매소)
5th row충청북도 옥천군 옥천읍 옥천동이로 355 (특장 화물차 매매소)
ValueCountFrequency (%)
충청북도 20
14.8%
옥천군 20
14.8%
옥천읍 18
 
13.3%
옥천동이로 6
 
4.4%
중앙로 5
 
3.7%
135 5
 
3.7%
355 4
 
3.0%
특장 3
 
2.2%
화물차 3
 
2.2%
매매소 3
 
2.2%
Other values (43) 48
35.6%
2023-12-13T07:54:06.344619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
18.2%
천 47
 
7.6%
옥 47
 
7.6%
로 22
 
3.5%
충 20
 
3.2%
군 20
 
3.2%
청 20
 
3.2%
도 20
 
3.2%
북 20
 
3.2%
5 19
 
3.1%
Other values (88) 274
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 392
63.0%
Space Separator 113
 
18.2%
Decimal Number 79
 
12.7%
Close Punctuation 11
 
1.8%
Open Punctuation 11
 
1.8%
Other Punctuation 10
 
1.6%
Dash Punctuation 4
 
0.6%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 47
 
12.0%
옥 47
 
12.0%
로 22
 
5.6%
충 20
 
5.1%
군 20
 
5.1%
청 20
 
5.1%
도 20
 
5.1%
북 20
 
5.1%
읍 18
 
4.6%
이 8
 
2.0%
Other values (71) 150
38.3%
Decimal Number
ValueCountFrequency (%)
5 19
24.1%
3 14
17.7%
1 14
17.7%
2 9
11.4%
8 7
 
8.9%
7 5
 
6.3%
9 5
 
6.3%
0 3
 
3.8%
4 2
 
2.5%
6 1
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 392
63.0%
Common 228
36.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 47
 
12.0%
옥 47
 
12.0%
로 22
 
5.6%
충 20
 
5.1%
군 20
 
5.1%
청 20
 
5.1%
도 20
 
5.1%
북 20
 
5.1%
읍 18
 
4.6%
이 8
 
2.0%
Other values (71) 150
38.3%
Common
ValueCountFrequency (%)
113
49.6%
5 19
 
8.3%
3 14
 
6.1%
1 14
 
6.1%
) 11
 
4.8%
( 11
 
4.8%
, 10
 
4.4%
2 9
 
3.9%
8 7
 
3.1%
7 5
 
2.2%
Other values (5) 15
 
6.6%
Latin
ValueCountFrequency (%)
L 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 392
63.0%
ASCII 230
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
49.1%
5 19
 
8.3%
3 14
 
6.1%
1 14
 
6.1%
) 11
 
4.8%
( 11
 
4.8%
, 10
 
4.3%
2 9
 
3.9%
8 7
 
3.0%
7 5
 
2.2%
Other values (7) 17
 
7.4%
Hangul
ValueCountFrequency (%)
천 47
 
12.0%
옥 47
 
12.0%
로 22
 
5.6%
충 20
 
5.1%
군 20
 
5.1%
청 20
 
5.1%
도 20
 
5.1%
북 20
 
5.1%
읍 18
 
4.6%
이 8
 
2.0%
Other values (71) 150
38.3%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
신규
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신규 22
100.0%

Length

2023-12-13T07:54:06.481531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:54:06.568005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신규 22
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-06-15
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-15
2nd row2023-06-15
3rd row2023-06-15
4th row2023-06-15
5th row2023-06-15

Common Values

ValueCountFrequency (%)
2023-06-15 22
100.0%

Length

2023-12-13T07:54:06.671498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:54:06.776572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-15 22
100.0%

Interactions

2023-12-13T07:54:04.385263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:04.243267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:04.468328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:04.305888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:54:06.846531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호차량대수주사무소도로명주소
연번1.0001.0000.0001.000
상호1.0001.0001.0001.000
차량대수0.0001.0001.0000.862
주사무소도로명주소1.0001.0000.8621.000
2023-12-13T07:54:06.938218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번차량대수
연번1.0000.313
차량대수0.3131.000

Missing values

2023-12-13T07:54:04.589042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:54:04.688777image/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

연번상호사업의종류차량대수주사무소도로명주소영업상태기준일자
01(주)한빛물류(구)일반화물1충청북도 옥천군 옥천읍 옥천농공길 99, 공장신규2023-06-15
12(주)라훈(구)일반화물22충청북도 옥천군 옥천읍 중앙로 135, 휴게편의시설 101호신규2023-06-15
23성화비투비로지스(주)(구)일반화물1충청북도 옥천군 옥천읍 서대구일로 279-5 (택배물류창고)신규2023-06-15
34(주)정원운수(구)일반화물14충청북도 옥천군 옥천읍 옥천동이로 355 (특장 화물차 매매소)신규2023-06-15
45(주)구일통운(구)일반화물35충청북도 옥천군 옥천읍 옥천동이로 355 (특장 화물차 매매소)신규2023-06-15
56엘오티에스(주)(구)일반화물51충청북도 옥천군 옥천읍 중앙로 135, 105호신규2023-06-15
67(주)엘엑스판토스 대전지점(구)일반화물17서울특별시 종로구 새문안로 58, LG광화문빌딩 (신문로2가)신규2023-06-15
78(주)구일화물(구)일반화물34충청북도 옥천군 옥천읍 옥천동이로 355, 특장 화물차 매매소신규2023-06-15
89(주)천우로지스(구)일반화물3충청북도 옥천군 옥천읍 중앙로 135, 104호 (내트럭하우스)신규2023-06-15
910(주)글로벌살수(구)일반화물23충청북도 옥천군 옥천읍 옥천로 1598 (카센터)신규2023-06-15
연번상호사업의종류차량대수주사무소도로명주소영업상태기준일자
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