Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.5 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description부산광역시동래구_화물자동차운송사업업체현황_20230619
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15114755

Alerts

업종 has constant value ""Constant
운영여부 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:35:29.081683
Analysis finished2023-12-10 16:35:29.688812
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-11T01:35:29.760751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-11T01:35:29.908557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

업체명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:35:30.143709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.25
Min length5

Characters and Unicode

Total characters150
Distinct characters70
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row㈜전국티피엘
2nd row㈜태광종합운수
3rd row흥한환경개발㈜
4th row㈜코리아대림물류
5th row영산물류㈜
ValueCountFrequency (%)
㈜전국티피엘 1
 
3.8%
㈜태광종합운수 1
 
3.8%
주식회사 1
 
3.8%
㈜경운로직스 1
 
3.8%
㈜정일상운 1
 
3.8%
㈜해동운수 1
 
3.8%
부산영업소 1
 
3.8%
㈜길창운수 1
 
3.8%
㈜합동물류 1
 
3.8%
동서로직스㈜ 1
 
3.8%
Other values (16) 16
61.5%
2023-12-11T01:35:30.563039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 22
 
14.7%
물 9
 
6.0%
류 8
 
5.3%
운 8
 
5.3%
수 5
 
3.3%
동 4
 
2.7%
스 4
 
2.7%
합 4
 
2.7%
대 4
 
2.7%
업 3
 
2.0%
Other values (60) 79
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
84.0%
Other Symbol 22
 
14.7%
Space Separator 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 9
 
7.1%
류 8
 
6.3%
운 8
 
6.3%
수 5
 
4.0%
동 4
 
3.2%
스 4
 
3.2%
합 4
 
3.2%
대 4
 
3.2%
업 3
 
2.4%
에 3
 
2.4%
Other values (58) 74
58.7%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
98.7%
Common 2
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 22
 
14.9%
물 9
 
6.1%
류 8
 
5.4%
운 8
 
5.4%
수 5
 
3.4%
동 4
 
2.7%
스 4
 
2.7%
합 4
 
2.7%
대 4
 
2.7%
업 3
 
2.0%
Other values (59) 77
52.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
84.0%
None 22
 
14.7%
ASCII 2
 
1.3%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 22
100.0%
Hangul
ValueCountFrequency (%)
물 9
 
7.1%
류 8
 
6.3%
운 8
 
6.3%
수 5
 
4.0%
동 4
 
3.2%
스 4
 
3.2%
합 4
 
3.2%
대 4
 
3.2%
업 3
 
2.4%
에 3
 
2.4%
Other values (58) 74
58.7%
ASCII
ValueCountFrequency (%)
2
100.0%

업체주소
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-11T01:35:30.827096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40.5
Mean length36
Min length25

Characters and Unicode

Total characters864
Distinct characters98
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

Unique22 ?
Unique (%)91.7%

Sample

1st row부산광역시 동래구 명안로9번길 96, 3층 301호(안락동)
2nd row부산광역시 동래구 시실로 46-2, 빌딩3층(명륜동)
3rd row부산광역시 동래구 미남로132번길 14, 708호(온천동, 효창오피스텔)
4th row부산광역시 동래구 충렬대로 359번길 6, 4층(안락동)
5th row부산광역시 동래구 여고로 53-1, 302호(사직동, 동남빌딩)
ValueCountFrequency (%)
부산광역시 24
 
17.5%
동래구 24
 
17.5%
충렬대로 5
 
3.6%
동남빌딩 3
 
2.2%
3층 2
 
1.5%
25 2
 
1.5%
충렬대로200번길 2
 
1.5%
354 2
 
1.5%
2층 2
 
1.5%
4층(안락동 2
 
1.5%
Other values (64) 69
50.4%
2023-12-11T01:35:31.239885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
13.1%
동 57
 
6.6%
, 36
 
4.2%
시 30
 
3.5%
3 27
 
3.1%
산 27
 
3.1%
래 26
 
3.0%
부 25
 
2.9%
2 25
 
2.9%
역 25
 
2.9%
Other values (88) 473
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
60.2%
Decimal Number 139
 
16.1%
Space Separator 113
 
13.1%
Other Punctuation 37
 
4.3%
Open Punctuation 24
 
2.8%
Close Punctuation 24
 
2.8%
Dash Punctuation 5
 
0.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
 
11.0%
시 30
 
5.8%
산 27
 
5.2%
래 26
 
5.0%
부 25
 
4.8%
역 25
 
4.8%
광 24
 
4.6%
구 24
 
4.6%
로 24
 
4.6%
대 15
 
2.9%
Other values (70) 243
46.7%
Decimal Number
ValueCountFrequency (%)
3 27
19.4%
2 25
18.0%
1 21
15.1%
0 18
12.9%
4 15
10.8%
5 11
7.9%
6 6
 
4.3%
7 6
 
4.3%
9 5
 
3.6%
8 5
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 36
97.3%
/ 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 520
60.2%
Common 342
39.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
 
11.0%
시 30
 
5.8%
산 27
 
5.2%
래 26
 
5.0%
부 25
 
4.8%
역 25
 
4.8%
광 24
 
4.6%
구 24
 
4.6%
로 24
 
4.6%
대 15
 
2.9%
Other values (70) 243
46.7%
Common
ValueCountFrequency (%)
113
33.0%
, 36
 
10.5%
3 27
 
7.9%
2 25
 
7.3%
( 24
 
7.0%
) 24
 
7.0%
1 21
 
6.1%
0 18
 
5.3%
4 15
 
4.4%
5 11
 
3.2%
Other values (6) 28
 
8.2%
Latin
ValueCountFrequency (%)
O 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
60.2%
ASCII 344
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
32.8%
, 36
 
10.5%
3 27
 
7.8%
2 25
 
7.3%
( 24
 
7.0%
) 24
 
7.0%
1 21
 
6.1%
0 18
 
5.2%
4 15
 
4.4%
5 11
 
3.2%
Other values (8) 30
 
8.7%
Hangul
ValueCountFrequency (%)
동 57
 
11.0%
시 30
 
5.8%
산 27
 
5.2%
래 26
 
5.0%
부 25
 
4.8%
역 25
 
4.8%
광 24
 
4.6%
구 24
 
4.6%
로 24
 
4.6%
대 15
 
2.9%
Other values (70) 243
46.7%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
일반화물
24 

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 24
100.0%

Length

2023-12-11T01:35:31.370018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:31.469667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 24
100.0%

운영여부
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
운영
24 

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 24
100.0%

Length

2023-12-11T01:35:31.589978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:31.694673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 24
100.0%

Interactions

2023-12-11T01:35:29.345949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:35:31.754479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명업체주소
연번1.0001.0000.919
업체명1.0001.0001.000
업체주소0.9191.0001.000

Missing values

2023-12-11T01:35:29.506243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:35:29.641700image/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

연번업체명업체주소업종운영여부
01㈜전국티피엘부산광역시 동래구 명안로9번길 96, 3층 301호(안락동)일반화물운영
12㈜태광종합운수부산광역시 동래구 시실로 46-2, 빌딩3층(명륜동)일반화물운영
23흥한환경개발㈜부산광역시 동래구 미남로132번길 14, 708호(온천동, 효창오피스텔)일반화물운영
34㈜코리아대림물류부산광역시 동래구 충렬대로 359번길 6, 4층(안락동)일반화물운영
45영산물류㈜부산광역시 동래구 여고로 53-1, 302호(사직동, 동남빌딩)일반화물운영
56㈜에이치에스통운부산광역시 동래구 충렬대로238번가길 101(낙민동)일반화물운영
67㈜삼호물류부산광역시 동래구 반송로 215(안락동, 2층)일반화물운영
78제일견인운수부산광역시 동래구 중앙대로 1520(온천동, 도시철도온천장역 공영주차장)일반화물운영
89씨로직스㈜부산광역시 동래구 충렬대로 354, 2층 206호(안락동, 동남빌딩)일반화물운영
910동원기업㈜부산광역시 동래구 미남로 33, 3층(사직동)일반화물운영
연번업체명업체주소업종운영여부
1415대마종합운수㈜부산광역시 동래구 연안로59번길 7, 4층(안락동, 산청빌딩)일반화물운영
1516대능기업㈜부산광역시 동래구 충렬대로134-1, 4층(온천동, 제일빌딩)일반화물운영
1617㈜신한물류부산광역시 동래구 아시아드대로231번길 3, 2004호(온천동, 동래효산벨뷰)일반화물운영
1718동서로직스㈜부산광역시 동래구 시실로 46-2, 빌딩3층(명륜동)일반화물운영
1819㈜합동물류부산광역시 동래구 온천천로 531번길 33(안락동)일반화물운영
1920㈜길창운수 부산영업소부산광역시 동래구 아시아드대로234, 오피스텔동514호(온천동, 온천동반도보라스카이뷰)일반화물운영
2021㈜해동운수부산광역시 동래구 충렬대로200번길 25, 210호(수안동, 한진타운상가)일반화물운영
2122㈜정일상운부산광역시 동래구 충렬대로 487, 상가동 제119호(안락동, 안락에스케이아파트)일반화물운영
2223㈜경운로직스부산광역시 동래구 동래로 63, 3층(명륜동)일반화물운영
2324주식회사 신아물류부산광역시 동래구 충렬대로118, 202-1호 (온천동, 부산대학교총동문회장학회관)일반화물운영