Overview

Dataset statistics

Number of variables7
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory61.2 B

Variable types

Numeric2
Categorical3
Text1
DateTime1

Alerts

면허종류 has constant value ""Constant
현재운영여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:33:14.962650
Analysis finished2024-01-09 20:33:15.901182
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-01-10T05:33:15.955915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2024-01-10T05:33:16.076060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

면허종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
(구)일반화물
41 

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 41
100.0%

Length

2024-01-10T05:33:16.211799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:16.308941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구)일반화물 41
100.0%

사업자구분
Categorical

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
개인
32 
법인
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 32
78.0%
법인 9
 
22.0%

Length

2024-01-10T05:33:16.395104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:16.488812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 32
78.0%
법인 9
 
22.0%

사업체명
Text

Distinct34
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-01-10T05:33:16.649243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.9756098
Min length3

Characters and Unicode

Total characters163
Distinct characters58
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)75.6%

Sample

1st row강**
2nd row권**
3rd row부여크레인
4th row김**
5th row김**
ValueCountFrequency (%)
이 4
 
9.8%
김 4
 
9.8%
윤 2
 
4.9%
정 1
 
2.4%
대성물류 1
 
2.4%
장원건설 1
 
2.4%
금강통운 1
 
2.4%
태양스카이 1
 
2.4%
임 1
 
2.4%
부여화물 1
 
2.4%
Other values (24) 24
58.5%
2024-01-10T05:33:16.948788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 44
27.0%
카 6
 
3.7%
운 6
 
3.7%
수 6
 
3.7%
부 6
 
3.7%
여 6
 
3.7%
이 5
 
3.1%
레 4
 
2.5%
김 4
 
2.5%
렉 4
 
2.5%
Other values (48) 72
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
73.0%
Other Punctuation 44
 
27.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 6
 
5.0%
운 6
 
5.0%
수 6
 
5.0%
부 6
 
5.0%
여 6
 
5.0%
이 5
 
4.2%
레 4
 
3.4%
김 4
 
3.4%
렉 4
 
3.4%
물 3
 
2.5%
Other values (47) 69
58.0%
Other Punctuation
ValueCountFrequency (%)
* 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119
73.0%
Common 44
 
27.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 6
 
5.0%
운 6
 
5.0%
수 6
 
5.0%
부 6
 
5.0%
여 6
 
5.0%
이 5
 
4.2%
레 4
 
3.4%
김 4
 
3.4%
렉 4
 
3.4%
물 3
 
2.5%
Other values (47) 69
58.0%
Common
ValueCountFrequency (%)
* 44
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119
73.0%
ASCII 44
 
27.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 44
100.0%
Hangul
ValueCountFrequency (%)
카 6
 
5.0%
운 6
 
5.0%
수 6
 
5.0%
부 6
 
5.0%
여 6
 
5.0%
이 5
 
4.2%
레 4
 
3.4%
김 4
 
3.4%
렉 4
 
3.4%
물 3
 
2.5%
Other values (47) 69
58.0%

보유대수(대)
Real number (ℝ)

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2195122
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2024-01-10T05:33:17.056494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile11
Maximum21
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.2808422
Coefficient of variation (CV)1.3296555
Kurtosis9.9407637
Mean3.2195122
Median Absolute Deviation (MAD)1
Skewness3.0915182
Sum132
Variance18.32561
MonotonicityNot monotonic
2024-01-10T05:33:17.161736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 19
46.3%
2 7
 
17.1%
3 6
 
14.6%
5 3
 
7.3%
4 2
 
4.9%
18 1
 
2.4%
11 1
 
2.4%
8 1
 
2.4%
21 1
 
2.4%
ValueCountFrequency (%)
1 19
46.3%
2 7
 
17.1%
3 6
 
14.6%
4 2
 
4.9%
5 3
 
7.3%
8 1
 
2.4%
11 1
 
2.4%
18 1
 
2.4%
21 1
 
2.4%
ValueCountFrequency (%)
21 1
 
2.4%
18 1
 
2.4%
11 1
 
2.4%
8 1
 
2.4%
5 3
 
7.3%
4 2
 
4.9%
3 6
 
14.6%
2 7
 
17.1%
1 19
46.3%

현재운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
여
41 

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 41
100.0%

Length

2024-01-10T05:33:17.293505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:33:17.397332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여 41
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2023-06-23 00:00:00
Maximum2023-06-23 00:00:00
2024-01-10T05:33:17.488531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:17.583266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T05:33:15.588043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:15.143510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:15.669697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:33:15.232808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:33:17.659877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업자구분사업체명보유대수(대)
연번1.0000.0000.9010.000
사업자구분0.0001.0001.0000.413
사업체명0.9011.0001.0000.962
보유대수(대)0.0000.4130.9621.000
2024-01-10T05:33:17.763303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번보유대수(대)사업자구분
연번1.000-0.1230.168
보유대수(대)-0.1231.0000.406
사업자구분0.1680.4061.000

Missing values

2024-01-10T05:33:15.772429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:33:15.864366image/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

연번면허종류사업자구분사업체명보유대수(대)현재운영여부데이터기준일자
01(구)일반화물개인강**2여2023-06-23
12(구)일반화물개인권**1여2023-06-23
23(구)일반화물개인부여크레인3여2023-06-23
34(구)일반화물개인김**1여2023-06-23
45(구)일반화물개인김**4여2023-06-23
56(구)일반화물법인동호운수5여2023-06-23
67(구)일반화물개인김**2여2023-06-23
78(구)일반화물개인김**2여2023-06-23
89(구)일반화물법인태원운수18여2023-06-23
910(구)일반화물법인성광통운1여2023-06-23
연번면허종류사업자구분사업체명보유대수(대)현재운영여부데이터기준일자
3132(구)일반화물개인정**2여2023-06-23
3233(구)일반화물개인부여렉카8여2023-06-23
3334(구)일반화물개인조**1여2023-06-23
3435(구)일반화물개인신안운수1여2023-06-23
3536(구)일반화물개인사비렉카4여2023-06-23
3637(구)일반화물개인한**1여2023-06-23
3738(구)일반화물개인사비물류1여2023-06-23
3839(구)일반화물법인부여특수추레라주식회사21여2023-06-23
3940(구)일반화물개인윤**1여2023-06-23
4041(구)일반화물개인황**1여2023-06-23