Overview

Dataset statistics

Number of variables4
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory34.7 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description부산광역시 강서구 내 화물자동차 운수업체의 현황에 대한 데이터로 연번, 구분, 화물자동차운송사업자, 주소 등을 제공하고있습니다.
URLhttps://www.data.go.kr/data/3045926/fileData.do

Alerts

구분 has constant value ""Constant
연번 has unique valuesUnique
화물자동차운송사업자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:30:51.425139
Analysis finished2023-12-12 03:30:52.010545
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.5
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-12T12:30:52.130598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.85
Q120.25
median39.5
Q358.75
95-th percentile74.15
Maximum78
Range77
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation22.660538
Coefficient of variation (CV)0.57368452
Kurtosis-1.2
Mean39.5
Median Absolute Deviation (MAD)19.5
Skewness0
Sum3081
Variance513.5
MonotonicityStrictly increasing
2023-12-12T12:30:52.338328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
51 1
 
1.3%
58 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
50 1
 
1.3%
Other values (68) 68
87.2%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
78 1
1.3%
77 1
1.3%
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
일반화물
78 

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 78
100.0%

Length

2023-12-12T12:30:52.527565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:30:52.633949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 78
100.0%

화물자동차운송사업자
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T12:30:52.941962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.8205128
Min length3

Characters and Unicode

Total characters610
Distinct characters138
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

Unique78 ?
Unique (%)100.0%

Sample

1st row비에스특수물류(주)
2nd row(주)강림운수
3rd row(주)지천통운
4th row(주)창성운수
5th row거양운수(주)
ValueCountFrequency (%)
주식회사 3
 
3.7%
대한네트웍스(주 1
 
1.2%
㈜케이에스엘앤아이 1
 
1.2%
㈜대광운수 1
 
1.2%
영인물류㈜ 1
 
1.2%
㈜건보 1
 
1.2%
주)제이디엔티로직스 1
 
1.2%
주)델타 1
 
1.2%
㈜협전글로텍 1
 
1.2%
주)대성티엘에스 1
 
1.2%
Other values (69) 69
85.2%
2023-12-12T12:30:53.468657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 54
 
8.9%
( 52
 
8.5%
) 52
 
8.5%
스 33
 
5.4%
㈜ 23
 
3.8%
로 22
 
3.6%
운 18
 
3.0%
지 18
 
3.0%
수 16
 
2.6%
이 14
 
2.3%
Other values (128) 308
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
77.2%
Open Punctuation 52
 
8.5%
Close Punctuation 52
 
8.5%
Other Symbol 23
 
3.8%
Space Separator 12
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 54
 
11.5%
스 33
 
7.0%
로 22
 
4.7%
운 18
 
3.8%
지 18
 
3.8%
수 16
 
3.4%
이 14
 
3.0%
물 14
 
3.0%
류 14
 
3.0%
에 10
 
2.1%
Other values (124) 258
54.8%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 494
81.0%
Common 116
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 54
 
10.9%
스 33
 
6.7%
㈜ 23
 
4.7%
로 22
 
4.5%
운 18
 
3.6%
지 18
 
3.6%
수 16
 
3.2%
이 14
 
2.8%
물 14
 
2.8%
류 14
 
2.8%
Other values (125) 268
54.3%
Common
ValueCountFrequency (%)
( 52
44.8%
) 52
44.8%
12
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
77.2%
ASCII 116
 
19.0%
None 23
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 54
 
11.5%
스 33
 
7.0%
로 22
 
4.7%
운 18
 
3.8%
지 18
 
3.8%
수 16
 
3.4%
이 14
 
3.0%
물 14
 
3.0%
류 14
 
3.0%
에 10
 
2.1%
Other values (124) 258
54.8%
ASCII
ValueCountFrequency (%)
( 52
44.8%
) 52
44.8%
12
 
10.3%
None
ValueCountFrequency (%)
㈜ 23
100.0%

주소
Text

Distinct66
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T12:30:53.834639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length33
Min length17

Characters and Unicode

Total characters2574
Distinct characters125
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

Unique56 ?
Unique (%)71.8%

Sample

1st row부산광역시 강서구 녹산산업북로193번길 29, 2층 201호(송정동)
2nd row부산광역시 강서구 화전산단5로117번길 38(화전동)
3rd row부산광역시 강서구 르노삼성대로 681(명지동)
4th row부산광역시 강서구 명지오션시티9로 60,201호(명지동,창성빌딩)
5th row부산광역시 강서구 르노삼성대로 677, 2층(명지동, 거양프라자)
ValueCountFrequency (%)
부산광역시 78
19.6%
강서구 78
19.6%
녹산산업북로 12
 
3.0%
유통단지1로 8
 
2.0%
부산물류터미널 7
 
1.8%
13동 6
 
1.5%
76 5
 
1.3%
건축자재판매단지 4
 
1.0%
르노삼성대로 4
 
1.0%
녹산산단232로 4
 
1.0%
Other values (145) 191
48.1%
2023-12-12T12:30:54.309655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
319
 
12.4%
산 140
 
5.4%
1 105
 
4.1%
2 95
 
3.7%
동 95
 
3.7%
부 88
 
3.4%
강 83
 
3.2%
시 81
 
3.1%
구 79
 
3.1%
서 79
 
3.1%
Other values (115) 1410
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1542
59.9%
Decimal Number 472
 
18.3%
Space Separator 319
 
12.4%
Other Punctuation 78
 
3.0%
Close Punctuation 73
 
2.8%
Open Punctuation 73
 
2.8%
Dash Punctuation 16
 
0.6%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 140
 
9.1%
동 95
 
6.2%
부 88
 
5.7%
강 83
 
5.4%
시 81
 
5.3%
구 79
 
5.1%
서 79
 
5.1%
광 78
 
5.1%
역 78
 
5.1%
로 73
 
4.7%
Other values (99) 668
43.3%
Decimal Number
ValueCountFrequency (%)
1 105
22.2%
2 95
20.1%
3 72
15.3%
0 46
9.7%
6 35
 
7.4%
8 26
 
5.5%
7 26
 
5.5%
9 24
 
5.1%
5 23
 
4.9%
4 20
 
4.2%
Space Separator
ValueCountFrequency (%)
319
100.0%
Other Punctuation
ValueCountFrequency (%)
, 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1542
59.9%
Common 1031
40.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 140
 
9.1%
동 95
 
6.2%
부 88
 
5.7%
강 83
 
5.4%
시 81
 
5.3%
구 79
 
5.1%
서 79
 
5.1%
광 78
 
5.1%
역 78
 
5.1%
로 73
 
4.7%
Other values (99) 668
43.3%
Common
ValueCountFrequency (%)
319
30.9%
1 105
 
10.2%
2 95
 
9.2%
, 78
 
7.6%
) 73
 
7.1%
( 73
 
7.1%
3 72
 
7.0%
0 46
 
4.5%
6 35
 
3.4%
8 26
 
2.5%
Other values (5) 109
 
10.6%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1542
59.9%
ASCII 1032
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
319
30.9%
1 105
 
10.2%
2 95
 
9.2%
, 78
 
7.6%
) 73
 
7.1%
( 73
 
7.1%
3 72
 
7.0%
0 46
 
4.5%
6 35
 
3.4%
8 26
 
2.5%
Other values (6) 110
 
10.7%
Hangul
ValueCountFrequency (%)
산 140
 
9.1%
동 95
 
6.2%
부 88
 
5.7%
강 83
 
5.4%
시 81
 
5.3%
구 79
 
5.1%
서 79
 
5.1%
광 78
 
5.1%
역 78
 
5.1%
로 73
 
4.7%
Other values (99) 668
43.3%

Interactions

2023-12-12T12:30:51.679790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:30:54.439922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번화물자동차운송사업자주소
연번1.0001.0000.899
화물자동차운송사업자1.0001.0001.000
주소0.8991.0001.000

Missing values

2023-12-12T12:30:51.840603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:30:51.962458image/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

연번구분화물자동차운송사업자주소
01일반화물비에스특수물류(주)부산광역시 강서구 녹산산업북로193번길 29, 2층 201호(송정동)
12일반화물(주)강림운수부산광역시 강서구 화전산단5로117번길 38(화전동)
23일반화물(주)지천통운부산광역시 강서구 르노삼성대로 681(명지동)
34일반화물(주)창성운수부산광역시 강서구 명지오션시티9로 60,201호(명지동,창성빌딩)
45일반화물거양운수(주)부산광역시 강서구 르노삼성대로 677, 2층(명지동, 거양프라자)
56일반화물(주)현진로지스부산광역시 강서구 녹산산단232로 38-3, 3동 213호(송정동, 툴마트)
67일반화물(주)부경육운부산광역시 강서구 맥도강변길 912-43(대저2동)
78일반화물(주)부용운수부산광역시 강서구 맥도강변길 912-43(대저2동)
89일반화물세광종합물류(주)부산광역시 강서구 녹산산업북로 119,326호(송정동, 부산물류터미널)
910일반화물(주)신성물류부산광역시 강서구 녹산산업북로 119,328호(송정동, 부산물류터미널)
연번구분화물자동차운송사업자주소
6869일반화물㈜오성로지스부산광역시 강서구 명지국제2로 80, 상가동 제3층 8호(명지동, 이편한세상 명지)
6970일반화물㈜에이원로지스부산광역시 강서구 명지국제2로 80, 3층 8호(명지동, e편한세상 명지)
7071일반화물㈜타임로지스부산광역시 강서구 범방3로78번길 3-31, 1층(범방동, 와이에스용성)
7172일반화물㈜한맥종합운수부산광역시 강서구 화전산단4로6번길 10(화전동)
7273일반화물㈜범어특수부산광역시 강서구 유통단지1로 41, 126동 215호(대저2동, 부산티플렉스)
7374일반화물㈜인글로벌부산광역시 강서구 가락대로 230-8, 2동 3층(송정동)
7475일반화물㈜부림교역부산광역시 강서구 범방30번길 12
7576일반화물(주)프라임글로벌로지스틱스부산광역시 강서구 녹산산단178로 37-5, 3층 301호
7677일반화물그리니코퍼레이션 주식회사부산광역시 강서구 맥도강변길 912-47(대저2동)
7778일반화물주식회사 에스에스지와이부산광역시 강서구 신호산단2로49번길 28, 102동