Overview

Dataset statistics

Number of variables8
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory70.9 B

Variable types

Numeric2
Text1
Categorical5

Dataset

Description청도군 관내 일반화물자동차 운송사업자 업체 현황(업체명, 면허종류, 차량대수, 주소, 기준일자 등)을 공개합니다.
URLhttps://www.data.go.kr/data/15114792/fileData.do

Alerts

면허종류(일반운송사업) has constant value ""Constant
차량대수(위수탁) has constant value ""Constant
운영여부 has constant value ""Constant
기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:26:36.172439
Analysis finished2023-12-12 07:26:37.023910
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T16:26:37.097482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-12T16:26:37.267589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

업체명
Text

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T16:26:37.467497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.8235294
Min length3

Characters and Unicode

Total characters198
Distinct characters62
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

Unique26 ?
Unique (%)76.5%

Sample

1st row한국로지스㈜
2nd row(주)동행화물
3rd row(주)창대살수
4th row(주)창대에스엘
5th row(주)진원특수
ValueCountFrequency (%)
이 4
 
11.8%
김 2
 
5.9%
박 2
 
5.9%
주)동행화물 1
 
2.9%
한국로지스㈜ 1
 
2.9%
주)화양종합물류 1
 
2.9%
조 1
 
2.9%
최 1
 
2.9%
㈜성훈운수 1
 
2.9%
유)청도화물 1
 
2.9%
Other values (19) 19
55.9%
2023-12-12T16:26:37.812542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 20
 
10.1%
( 17
 
8.6%
) 17
 
8.6%
주 16
 
8.1%
물 10
 
5.1%
수 9
 
4.5%
화 8
 
4.0%
이 5
 
2.5%
㈜ 5
 
2.5%
운 5
 
2.5%
Other values (52) 86
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139
70.2%
Other Punctuation 20
 
10.1%
Open Punctuation 17
 
8.6%
Close Punctuation 17
 
8.6%
Other Symbol 5
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 16
 
11.5%
물 10
 
7.2%
수 9
 
6.5%
화 8
 
5.8%
이 5
 
3.6%
운 5
 
3.6%
진 4
 
2.9%
류 4
 
2.9%
특 4
 
2.9%
동 4
 
2.9%
Other values (48) 70
50.4%
Other Punctuation
ValueCountFrequency (%)
* 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
72.7%
Common 54
 
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 16
 
11.1%
물 10
 
6.9%
수 9
 
6.2%
화 8
 
5.6%
이 5
 
3.5%
㈜ 5
 
3.5%
운 5
 
3.5%
진 4
 
2.8%
류 4
 
2.8%
특 4
 
2.8%
Other values (49) 74
51.4%
Common
ValueCountFrequency (%)
* 20
37.0%
( 17
31.5%
) 17
31.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139
70.2%
ASCII 54
 
27.3%
None 5
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 20
37.0%
( 17
31.5%
) 17
31.5%
Hangul
ValueCountFrequency (%)
주 16
 
11.5%
물 10
 
7.2%
수 9
 
6.5%
화 8
 
5.8%
이 5
 
3.6%
운 5
 
3.6%
진 4
 
2.9%
류 4
 
2.9%
특 4
 
2.9%
동 4
 
2.9%
Other values (48) 70
50.4%
None
ValueCountFrequency (%)
㈜ 5
100.0%

면허종류(일반운송사업)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
일반화물
34 

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 34
100.0%

Length

2023-12-12T16:26:37.955143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:38.057039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 34
100.0%

차량대수(직영)
Real number (ℝ)

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.764706
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T16:26:38.154767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median18
Q331.75
95-th percentile49.35
Maximum68
Range67
Interquartile range (IQR)29.75

Descriptive statistics

Standard deviation18.112542
Coefficient of variation (CV)0.96524518
Kurtosis0.028438658
Mean18.764706
Median Absolute Deviation (MAD)16
Skewness0.81834313
Sum638
Variance328.06417
MonotonicityNot monotonic
2023-12-12T16:26:38.329072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 8
23.5%
2 4
 
11.8%
22 2
 
5.9%
21 2
 
5.9%
3 2
 
5.9%
35 2
 
5.9%
40 1
 
2.9%
50 1
 
2.9%
33 1
 
2.9%
49 1
 
2.9%
Other values (10) 10
29.4%
ValueCountFrequency (%)
1 8
23.5%
2 4
11.8%
3 2
 
5.9%
14 1
 
2.9%
16 1
 
2.9%
17 1
 
2.9%
19 1
 
2.9%
20 1
 
2.9%
21 2
 
5.9%
22 2
 
5.9%
ValueCountFrequency (%)
68 1
2.9%
50 1
2.9%
49 1
2.9%
44 1
2.9%
40 1
2.9%
38 1
2.9%
35 2
5.9%
33 1
2.9%
28 1
2.9%
24 1
2.9%

차량대수(위수탁)
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
0
34 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 34
100.0%

Length

2023-12-12T16:26:38.802032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:38.912880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
100.0%

주소
Categorical

Distinct11
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
경상부도 청도군
10 
경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)
9 
경상북도 청도군 청도읍 뒷마2길 32
4 
경상북도 청도군 매전면 청매로 567
3 
경상북도 청도군 화양읍 화양남산길 115-3
2 
Other values (6)
6 

Length

Max length41
Median length25
Mean length22.588235
Min length8

Unique

Unique6 ?
Unique (%)17.6%

Sample

1st row경상북도 청도군 화양읍 연지로 280
2nd row경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)
3rd row경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)
4th row경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)
5th row경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)

Common Values

ValueCountFrequency (%)
경상부도 청도군 10
29.4%
경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운) 9
26.5%
경상북도 청도군 청도읍 뒷마2길 32 4
 
11.8%
경상북도 청도군 매전면 청매로 567 3
 
8.8%
경상북도 청도군 화양읍 화양남산길 115-3 2
 
5.9%
경상북도 청도군 화양읍 연지로 280 1
 
2.9%
경상북도 청도군 청도읍 팔치길 80-12 1
 
2.9%
경상북도 청도군 청도읍 새마을로 1305 1
 
2.9%
경상북도 청도군 청도읍 뒷마2길 32-0 1
 
2.9%
경상북도 청도군 매전면 관방로 116 1
 
2.9%

Length

2023-12-12T16:26:39.047561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청도군 34
20.4%
경상북도 24
14.4%
청도읍 17
10.2%
경상부도 10
 
6.0%
고수뒷길 9
 
5.4%
74-16 9
 
5.4%
101동 9
 
5.4%
104호 9
 
5.4%
성조타운 9
 
5.4%
뒷마2길 5
 
3.0%
Other values (18) 32
19.2%

운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
여
34 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여 34
100.0%

Length

2023-12-12T16:26:39.193961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:39.343782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여 34
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-06-20
34 

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 34
100.0%

Length

2023-12-12T16:26:39.447216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:39.559290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-20 34
100.0%

Interactions

2023-12-12T16:26:36.611164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:26:36.382857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:26:36.724029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:26:36.495701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:26:39.631076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명차량대수(직영)주소
연번1.0000.7550.4930.752
업체명0.7551.0001.0001.000
차량대수(직영)0.4931.0001.0000.659
주소0.7521.0000.6591.000
2023-12-12T16:26:39.759864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번차량대수(직영)주소
연번1.000-0.4730.423
차량대수(직영)-0.4731.0000.343
주소0.4230.3431.000

Missing values

2023-12-12T16:26:36.843952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:26:36.974144image/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

연번업체명면허종류(일반운송사업)차량대수(직영)차량대수(위수탁)주소운영여부기준일자
01한국로지스㈜일반화물20경상북도 청도군 화양읍 연지로 280여2023-06-20
12(주)동행화물일반화물140경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)여2023-06-20
23(주)창대살수일반화물240경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)여2023-06-20
34(주)창대에스엘일반화물170경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)여2023-06-20
45(주)진원특수일반화물380경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)여2023-06-20
56(주)비케이특수일반화물200경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)여2023-06-20
67(주)만촌화물일반화물160경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)여2023-06-20
78(주)부광종합화물일반화물220경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)여2023-06-20
89(주)부광특수화물일반화물210경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)여2023-06-20
910(주)진흥화물일반화물190경상북도 청도군 청도읍 고수뒷길 74-16, 101동 104호 (성조타운)여2023-06-20
연번업체명면허종류(일반운송사업)차량대수(직영)차량대수(위수탁)주소운영여부기준일자
2425박**일반화물10경상부도 청도군여2023-06-20
2526이**일반화물10경상부도 청도군여2023-06-20
2627이**일반화물10경상부도 청도군여2023-06-20
2728김**일반화물20경상부도 청도군여2023-06-20
2829조**일반화물10경상부도 청도군여2023-06-20
2930이**일반화물10경상부도 청도군여2023-06-20
3031김**일반화물10경상부도 청도군여2023-06-20
3132박**일반화물10경상부도 청도군여2023-06-20
3233청도렉카일반화물30경상북도 청도군 청도읍 원정리 1258-25여2023-06-20
3334이**일반화물20경상부도 청도군여2023-06-20