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
Categorical2
DateTime1

Dataset

Description경상남도 의령군의 화물자동차 운송사업자 현황입니다. 운송사업자 업체명, 면허의 종류, 차량대수, 업체의 도로명주소, 현재 운영여부와 데이터 기준일자 제공합니다.
URLhttps://www.data.go.kr/data/15114904/fileData.do

Alerts

면허종류 has constant value ""Constant
현재 운영여부 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 차량대수High correlation
차량대수 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:03:07.059570
Analysis finished2023-12-12 00:03:07.871427
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  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
2023-12-12T09:03:07.935650image/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
2023-12-12T09:03:08.105483image/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%

업체명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T09:03:08.296498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.0909091
Min length3

Characters and Unicode

Total characters134
Distinct characters58
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 row의령운수(주)
2nd row영진운수(주)
3rd row㈜수경유조
4th row(주)선경특수화물
5th row(주)금영운수
ValueCountFrequency (%)
의령영업소 2
 
8.3%
의령운수(주 1
 
4.2%
㈜태양물류 1
 
4.2%
에스비종합물류(주 1
 
4.2%
이병철 1
 
4.2%
광명통운 1
 
4.2%
엄성광 1
 
4.2%
문환석 1
 
4.2%
이술종 1
 
4.2%
동남트렉타㈜ 1
 
4.2%
Other values (13) 13
54.2%
2023-12-12T09:03:08.721615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 9
 
6.7%
주 9
 
6.7%
) 9
 
6.7%
㈜ 7
 
5.2%
운 7
 
5.2%
수 6
 
4.5%
영 5
 
3.7%
의 4
 
3.0%
물 4
 
3.0%
화 4
 
3.0%
Other values (48) 70
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106
79.1%
Open Punctuation 9
 
6.7%
Close Punctuation 9
 
6.7%
Other Symbol 7
 
5.2%
Space Separator 3
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 9
 
8.5%
운 7
 
6.6%
수 6
 
5.7%
영 5
 
4.7%
의 4
 
3.8%
물 4
 
3.8%
화 4
 
3.8%
령 4
 
3.8%
이 3
 
2.8%
업 3
 
2.8%
Other values (44) 57
53.8%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 113
84.3%
Common 21
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 9
 
8.0%
㈜ 7
 
6.2%
운 7
 
6.2%
수 6
 
5.3%
영 5
 
4.4%
의 4
 
3.5%
물 4
 
3.5%
화 4
 
3.5%
령 4
 
3.5%
이 3
 
2.7%
Other values (45) 60
53.1%
Common
ValueCountFrequency (%)
( 9
42.9%
) 9
42.9%
3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106
79.1%
ASCII 21
 
15.7%
None 7
 
5.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 9
42.9%
) 9
42.9%
3
 
14.3%
Hangul
ValueCountFrequency (%)
주 9
 
8.5%
운 7
 
6.6%
수 6
 
5.7%
영 5
 
4.7%
의 4
 
3.8%
물 4
 
3.8%
화 4
 
3.8%
령 4
 
3.8%
이 3
 
2.8%
업 3
 
2.8%
Other values (44) 57
53.8%
None
ValueCountFrequency (%)
㈜ 7
100.0%

면허종류
Categorical

CONSTANT 

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

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반운송사업 22
100.0%

Length

2023-12-12T09:03:08.896463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:09.029050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반운송사업 22
100.0%

차량대수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.818182
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T09:03:09.147700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median18.5
Q348.25
95-th percentile86.6
Maximum90
Range89
Interquartile range (IQR)46

Descriptive statistics

Standard deviation30.624665
Coefficient of variation (CV)1.0626855
Kurtosis-0.67069362
Mean28.818182
Median Absolute Deviation (MAD)17.5
Skewness0.8143935
Sum634
Variance937.87013
MonotonicityNot monotonic
2023-12-12T09:03:09.283981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 5
22.7%
21 2
 
9.1%
43 1
 
4.5%
6 1
 
4.5%
59 1
 
4.5%
2 1
 
4.5%
16 1
 
4.5%
7 1
 
4.5%
4 1
 
4.5%
3 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
1 5
22.7%
2 1
 
4.5%
3 1
 
4.5%
4 1
 
4.5%
6 1
 
4.5%
7 1
 
4.5%
16 1
 
4.5%
21 2
 
9.1%
38 1
 
4.5%
41 1
 
4.5%
ValueCountFrequency (%)
90 1
4.5%
87 1
4.5%
79 1
4.5%
62 1
4.5%
59 1
4.5%
50 1
4.5%
43 1
4.5%
41 1
4.5%
38 1
4.5%
21 2
9.1%

도로명주소
Text

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T09:03:09.485467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23.5
Mean length21.636364
Min length19

Characters and Unicode

Total characters476
Distinct characters51
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

Unique14 ?
Unique (%)63.6%

Sample

1st row경상남도 의령군 정곡면 법정로7길 91-6
2nd row경상남도 의령군 화정면 화정로 10
3rd row경상남도 의령군 정곡면 법정로7길 91-7
4th row경상남도 의령군 정곡면 법정로7길 91-8
5th row경상남도 의령군 정곡면 강변로 156-5
ValueCountFrequency (%)
경상남도 21
18.9%
의령군 21
18.9%
화정면 7
 
6.3%
화정로 6
 
5.4%
10 6
 
5.4%
정곡면 6
 
5.4%
법정로7길 4
 
3.6%
의령읍 3
 
2.7%
칠곡면 2
 
1.8%
91-7 2
 
1.8%
Other values (32) 33
29.7%
2023-12-12T09:03:09.886619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89
18.7%
의 27
 
5.7%
정 26
 
5.5%
령 24
 
5.0%
남 22
 
4.6%
경 21
 
4.4%
상 21
 
4.4%
도 21
 
4.4%
군 21
 
4.4%
로 21
 
4.4%
Other values (41) 183
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
62.4%
Space Separator 89
 
18.7%
Decimal Number 80
 
16.8%
Dash Punctuation 9
 
1.9%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 27
 
9.1%
정 26
 
8.8%
령 24
 
8.1%
남 22
 
7.4%
경 21
 
7.1%
상 21
 
7.1%
도 21
 
7.1%
군 21
 
7.1%
로 21
 
7.1%
면 18
 
6.1%
Other values (28) 75
25.3%
Decimal Number
ValueCountFrequency (%)
1 17
21.2%
0 11
13.8%
7 10
12.5%
2 8
10.0%
3 8
10.0%
9 7
8.8%
5 7
8.8%
6 6
 
7.5%
4 3
 
3.8%
8 3
 
3.8%
Space Separator
ValueCountFrequency (%)
89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
62.4%
Common 179
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 27
 
9.1%
정 26
 
8.8%
령 24
 
8.1%
남 22
 
7.4%
경 21
 
7.1%
상 21
 
7.1%
도 21
 
7.1%
군 21
 
7.1%
로 21
 
7.1%
면 18
 
6.1%
Other values (28) 75
25.3%
Common
ValueCountFrequency (%)
89
49.7%
1 17
 
9.5%
0 11
 
6.1%
7 10
 
5.6%
- 9
 
5.0%
2 8
 
4.5%
3 8
 
4.5%
9 7
 
3.9%
5 7
 
3.9%
6 6
 
3.4%
Other values (3) 7
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
62.4%
ASCII 179
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
89
49.7%
1 17
 
9.5%
0 11
 
6.1%
7 10
 
5.6%
- 9
 
5.0%
2 8
 
4.5%
3 8
 
4.5%
9 7
 
3.9%
5 7
 
3.9%
6 6
 
3.4%
Other values (3) 7
 
3.9%
Hangul
ValueCountFrequency (%)
의 27
 
9.1%
정 26
 
8.8%
령 24
 
8.1%
남 22
 
7.4%
경 21
 
7.1%
상 21
 
7.1%
도 21
 
7.1%
군 21
 
7.1%
로 21
 
7.1%
면 18
 
6.1%
Other values (28) 75
25.3%

현재 운영여부
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 22
100.0%

Length

2023-12-12T09:03:10.035024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:10.154647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 22
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-06-21 00:00:00
Maximum2023-06-21 00:00:00
2023-12-12T09:03:10.260875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:10.378006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T09:03:07.469009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:07.298541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:07.540567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:07.381860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:03:10.474304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명차량대수도로명주소
연번1.0001.0000.2850.594
업체명1.0001.0001.0001.000
차량대수0.2851.0001.0000.000
도로명주소0.5941.0000.0001.000
2023-12-12T09:03:10.604409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번차량대수
연번1.000-0.631
차량대수-0.6311.000

Missing values

2023-12-12T09:03:07.683395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:03:07.825743image/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

연번업체명면허종류차량대수도로명주소현재 운영여부데이터기준일
01의령운수(주)일반운송사업43경상남도 의령군 정곡면 법정로7길 91-6운영2023-06-21
12영진운수(주)일반운송사업79경상남도 의령군 화정면 화정로 10운영2023-06-21
23㈜수경유조일반운송사업87경상남도 의령군 정곡면 법정로7길 91-7운영2023-06-21
34(주)선경특수화물일반운송사업41경상남도 의령군 정곡면 법정로7길 91-8운영2023-06-21
45(주)금영운수일반운송사업62경상남도 의령군 정곡면 강변로 156-5운영2023-06-21
56(주)문경운수일반운송사업21경상남도 의령군 정곡면 법정로7길 91-7운영2023-06-21
67(주)진영물류일반운송사업90경상남도 의령군 화정면 화정로 10운영2023-06-21
78㈜은화 의령영업소일반운송사업38부산 사하구 낙동대로 179번길 30운영2023-06-21
89㈜화정일반운송사업50경상남도 의령군 화정면 화정로 10운영2023-06-21
910의령렉카일반운송사업3경상남도 의령군 의령읍 의병로 117운영2023-06-21
연번업체명면허종류차량대수도로명주소현재 운영여부데이터기준일
1213㈜청도산업일반운송사업4경상남도 의령군 정곡면 법정로 563운영2023-06-21
1314㈜하이로지스일반운송사업7경상남도 의령군 의령읍 구룡로4남길 52운영2023-06-21
1415동남트렉타㈜ 의령영업소일반운송사업16경상남도 의령군 화정면 화정로 10운영2023-06-21
1516이술종일반운송사업1경상남도 의령군 화정면 화정로3길 6-8운영2023-06-21
1617문환석일반운송사업1경상남도 의령군 칠곡면 칠곡로 27운영2023-06-21
1718엄성광일반운송사업1경상남도 의령군 칠곡면 자굴산로6길 58-7운영2023-06-21
1819광명통운일반운송사업21경상남도 의령군 화정면 화정로 10운영2023-06-21
1920이병철일반운송사업1경상남도 의령군 의령읍 의병로9길 25-6, 103동1305호운영2023-06-21
2021에스비종합물류(주)일반운송사업2경상남도 의령군 부림면 의합대로 2102운영2023-06-21
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