Overview

Dataset statistics

Number of variables9
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory75.2 B

Variable types

Numeric1
Categorical6
Text2

Dataset

Description대구광역시 북구 내 등록된 일반화물운송사업자 현황(연번,시도명,시군구명,업체명,면허종류,주소,현재 운영여부, 담당부서명,데이터기준일자)입니다. - 데이터 기준일자: 2023-06-20
URLhttps://www.data.go.kr/data/15115454/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
면허종류 has constant value ""Constant
현재 운영여부 has constant value ""Constant
담당부서명 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:35:33.731530
Analysis finished2023-12-12 21:35:34.385572
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T06:35:34.456164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-13T06:35:34.614424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
대구광역시
60 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 60
100.0%

Length

2023-12-13T06:35:34.743862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:34.840806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 60
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
북구
60 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구 60
100.0%

Length

2023-12-13T06:35:34.933223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:35.025519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 60
100.0%

업체명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T06:35:35.269208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7.5
Mean length5.9166667
Min length4

Characters and Unicode

Total characters355
Distinct characters87
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

Unique60 ?
Unique (%)100.0%

Sample

1st row㈜금산물류
2nd row㈜나림우드
3rd row㈜남광운수
4th row㈜달성물류
5th row㈜달성운수
ValueCountFrequency (%)
㈜금산물류 1
 
1.7%
㈜나림우드 1
 
1.7%
㈜에이치씨씨앤엘 1
 
1.7%
한성운수㈜ 1
 
1.7%
㈜포디스 1
 
1.7%
삼성이엠㈜ 1
 
1.7%
㈜신우통운 1
 
1.7%
㈜삼양레카 1
 
1.7%
㈜금강환경개발 1
 
1.7%
㈜다온물류 1
 
1.7%
Other values (50) 50
83.3%
2023-12-13T06:35:35.763906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 55
 
15.5%
물 28
 
7.9%
류 23
 
6.5%
운 13
 
3.7%
이 11
 
3.1%
로 10
 
2.8%
수 10
 
2.8%
성 10
 
2.8%
스 10
 
2.8%
지 9
 
2.5%
Other values (77) 176
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 290
81.7%
Other Symbol 55
 
15.5%
Close Punctuation 5
 
1.4%
Open Punctuation 5
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 28
 
9.7%
류 23
 
7.9%
운 13
 
4.5%
이 11
 
3.8%
로 10
 
3.4%
수 10
 
3.4%
성 10
 
3.4%
스 10
 
3.4%
지 9
 
3.1%
대 9
 
3.1%
Other values (74) 157
54.1%
Other Symbol
ValueCountFrequency (%)
㈜ 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
97.2%
Common 10
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 55
 
15.9%
물 28
 
8.1%
류 23
 
6.7%
운 13
 
3.8%
이 11
 
3.2%
로 10
 
2.9%
수 10
 
2.9%
성 10
 
2.9%
스 10
 
2.9%
지 9
 
2.6%
Other values (75) 166
48.1%
Common
ValueCountFrequency (%)
) 5
50.0%
( 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 290
81.7%
None 55
 
15.5%
ASCII 10
 
2.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 55
100.0%
Hangul
ValueCountFrequency (%)
물 28
 
9.7%
류 23
 
7.9%
운 13
 
4.5%
이 11
 
3.8%
로 10
 
3.4%
수 10
 
3.4%
성 10
 
3.4%
스 10
 
3.4%
지 9
 
3.1%
대 9
 
3.1%
Other values (74) 157
54.1%
ASCII
ValueCountFrequency (%)
) 5
50.0%
( 5
50.0%

면허종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
일반화물
60 

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 60
100.0%

Length

2023-12-13T06:35:35.943170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:36.053882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 60
100.0%

주소
Text

Distinct54
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T06:35:36.304510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length26.266667
Min length17

Characters and Unicode

Total characters1576
Distinct characters112
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)81.7%

Sample

1st row대구광역시 북구 칠곡중앙대로 518, 3층(읍내동)
2nd row대구광역시 북구 칠곡중앙대로99길 66, 103호(관음동)
3rd row대구 북구 호국로 814(학정동)
4th row대구광역시 북구 매천로2길 19, 126동 306호(팔달동)
5th row대구광역시 북구 매천로2길 19, 126동 307호(팔달동)
ValueCountFrequency (%)
북구 60
20.2%
대구 43
 
14.5%
대구광역시 17
 
5.7%
126동 7
 
2.4%
매천로2길 7
 
2.4%
19 7
 
2.4%
호국로 5
 
1.7%
노원로 4
 
1.3%
한강로8길 4
 
1.3%
동암로12길 3
 
1.0%
Other values (115) 140
47.1%
2023-12-13T06:35:36.725128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
240
 
15.2%
구 122
 
7.7%
동 81
 
5.1%
1 78
 
4.9%
대 68
 
4.3%
북 68
 
4.3%
2 59
 
3.7%
( 58
 
3.7%
) 58
 
3.7%
로 57
 
3.6%
Other values (102) 687
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 830
52.7%
Decimal Number 328
 
20.8%
Space Separator 240
 
15.2%
Open Punctuation 58
 
3.7%
Close Punctuation 58
 
3.7%
Other Punctuation 50
 
3.2%
Dash Punctuation 12
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 122
 
14.7%
동 81
 
9.8%
대 68
 
8.2%
북 68
 
8.2%
로 57
 
6.9%
호 38
 
4.6%
길 26
 
3.1%
시 17
 
2.0%
역 17
 
2.0%
광 17
 
2.0%
Other values (87) 319
38.4%
Decimal Number
ValueCountFrequency (%)
1 78
23.8%
2 59
18.0%
0 43
13.1%
3 43
13.1%
5 25
 
7.6%
6 21
 
6.4%
4 20
 
6.1%
8 18
 
5.5%
9 14
 
4.3%
7 7
 
2.1%
Space Separator
ValueCountFrequency (%)
240
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 830
52.7%
Common 746
47.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 122
 
14.7%
동 81
 
9.8%
대 68
 
8.2%
북 68
 
8.2%
로 57
 
6.9%
호 38
 
4.6%
길 26
 
3.1%
시 17
 
2.0%
역 17
 
2.0%
광 17
 
2.0%
Other values (87) 319
38.4%
Common
ValueCountFrequency (%)
240
32.2%
1 78
 
10.5%
2 59
 
7.9%
( 58
 
7.8%
) 58
 
7.8%
, 50
 
6.7%
0 43
 
5.8%
3 43
 
5.8%
5 25
 
3.4%
6 21
 
2.8%
Other values (5) 71
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 830
52.7%
ASCII 746
47.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
240
32.2%
1 78
 
10.5%
2 59
 
7.9%
( 58
 
7.8%
) 58
 
7.8%
, 50
 
6.7%
0 43
 
5.8%
3 43
 
5.8%
5 25
 
3.4%
6 21
 
2.8%
Other values (5) 71
 
9.5%
Hangul
ValueCountFrequency (%)
구 122
 
14.7%
동 81
 
9.8%
대 68
 
8.2%
북 68
 
8.2%
로 57
 
6.9%
호 38
 
4.6%
길 26
 
3.1%
시 17
 
2.0%
역 17
 
2.0%
광 17
 
2.0%
Other values (87) 319
38.4%

현재 운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
운영중
60 

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 60
100.0%

Length

2023-12-13T06:35:36.848725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:36.955971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 60
100.0%

담당부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
교통과
60 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교통과 60
100.0%

Length

2023-12-13T06:35:37.047439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:37.153949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교통과 60
100.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-06-20
60 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-20
2nd row2023-06-20
3rd row2023-06-20
4th row2023-06-20
5th row2023-06-20

Common Values

ValueCountFrequency (%)
2023-06-20 60
100.0%

Length

2023-12-13T06:35:37.256952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:35:37.364604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-20 60
100.0%

Interactions

2023-12-13T06:35:34.026572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:35:37.446609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명주소
연번1.0001.0000.827
업체명1.0001.0001.000
주소0.8271.0001.000

Missing values

2023-12-13T06:35:34.214493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:35:34.337925image/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

연번시도명시군구명업체명면허종류주소현재 운영여부담당부서명데이터 기준일자
01대구광역시북구㈜금산물류일반화물대구광역시 북구 칠곡중앙대로 518, 3층(읍내동)운영중교통과2023-06-20
12대구광역시북구㈜나림우드일반화물대구광역시 북구 칠곡중앙대로99길 66, 103호(관음동)운영중교통과2023-06-20
23대구광역시북구㈜남광운수일반화물대구 북구 호국로 814(학정동)운영중교통과2023-06-20
34대구광역시북구㈜달성물류일반화물대구광역시 북구 매천로2길 19, 126동 306호(팔달동)운영중교통과2023-06-20
45대구광역시북구㈜달성운수일반화물대구광역시 북구 매천로2길 19, 126동 307호(팔달동)운영중교통과2023-06-20
56대구광역시북구㈜달성화물일반화물대구 북구 동북로 87(산격동)운영중교통과2023-06-20
67대구광역시북구㈜대구대동추레라일반화물대구 북구 학정로 82, 2층(태전동)운영중교통과2023-06-20
78대구광역시북구㈜대동로직스일반화물대구광역시 북구 학정로 82, 2층(태전동)운영중교통과2023-06-20
89대구광역시북구㈜대양로지스일반화물대구 북구 문주길 45-30, 3층(금호동)운영중교통과2023-06-20
910대구광역시북구㈜로한물류일반화물대구 북구 한강로8길 13-13(금호동)운영중교통과2023-06-20
연번시도명시군구명업체명면허종류주소현재 운영여부담당부서명데이터 기준일자
5051대구광역시북구㈜대성운수일반화물대구광역시 북구 칠곡중앙대로115길 24, 113동 201호(읍내동, 칠곡우방타운)운영중교통과2023-06-20
5152대구광역시북구㈜대웅운수일반화물대구광역시 북구 관음로 133, 2층 203-1호(관음동)운영중교통과2023-06-20
5253대구광역시북구㈜지엘종합물류일반화물대구광역시 북구 호국로 145,202호(서변동)운영중교통과2023-06-20
5354대구광역시북구㈜티케이물류일반화물대구광역시 북구 한강로8길 13-14, 305호(금호동, 에이치타워)운영중교통과2023-06-20
5455대구광역시북구㈜이안물류일반화물대구광역시 북구 서변로9길 2, 2층(서변동)운영중교통과2023-06-20
5556대구광역시북구㈜케이피로지스일반화물대구광역시 북구 성북로 70, 상가동 210호(침산동, 침산화성파크드림)운영중교통과2023-06-20
5657대구광역시북구안전물류㈜일반화물대구광역시 북구 구암로 138, 강북빌딩 7층(구암동)운영중교통과2023-06-20
5758대구광역시북구㈜성창화물운수일반화물대구광역시 북구 동암로12길 15운영중교통과2023-06-20
5859대구광역시북구건영화물자동차㈜일반화물대구광역시 북구 노원로 125(노원동 3가)운영중교통과2023-06-20
5960대구광역시북구㈜월드종합물류일반화물대구광역시 북구 침산남로31길 14, 102호(침산동)운영중교통과2023-06-20