Overview

Dataset statistics

Number of variables4
Number of observations83
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory34.6 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시금정구_화물운송사업업체현황_20230914
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025841

Alerts

연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:24:44.449147
Analysis finished2023-12-10 16:24:44.985126
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2023-12-11T01:24:45.062667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.1
Q121.5
median42
Q362.5
95-th percentile78.9
Maximum83
Range82
Interquartile range (IQR)41

Descriptive statistics

Standard deviation24.103942
Coefficient of variation (CV)0.57390337
Kurtosis-1.2
Mean42
Median Absolute Deviation (MAD)21
Skewness0
Sum3486
Variance581
MonotonicityStrictly increasing
2023-12-11T01:24:45.218980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
54 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
Other values (73) 73
88.0%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%

업체명
Text

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-11T01:24:45.473457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.7108434
Min length5

Characters and Unicode

Total characters474
Distinct characters100
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)100.0%

Sample

1st row거성통운㈜
2nd row광진운수㈜
3rd row대동운수㈜
4th row동남특수레카
5th row부산레카㈜
ValueCountFrequency (%)
거성통운㈜ 1
 
1.2%
㈜바이펙스 1
 
1.2%
㈜명진로지스 1
 
1.2%
㈜지에이치로지스 1
 
1.2%
㈜부산특수렉카 1
 
1.2%
세계운수㈜ 1
 
1.2%
대해운송㈜ 1
 
1.2%
중앙특송㈜ 1
 
1.2%
㈜금마통운 1
 
1.2%
광성화물자동차㈜ 1
 
1.2%
Other values (73) 73
88.0%
2023-12-11T01:24:45.905883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 73
 
15.4%
운 28
 
5.9%
물 23
 
4.9%
수 21
 
4.4%
스 20
 
4.2%
류 16
 
3.4%
로 12
 
2.5%
업 12
 
2.5%
대 12
 
2.5%
지 11
 
2.3%
Other values (90) 246
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 385
81.2%
Other Symbol 73
 
15.4%
Close Punctuation 8
 
1.7%
Open Punctuation 8
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
운 28
 
7.3%
물 23
 
6.0%
수 21
 
5.5%
스 20
 
5.2%
류 16
 
4.2%
로 12
 
3.1%
업 12
 
3.1%
대 12
 
3.1%
지 11
 
2.9%
기 10
 
2.6%
Other values (87) 220
57.1%
Other Symbol
ValueCountFrequency (%)
㈜ 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 458
96.6%
Common 16
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 73
 
15.9%
운 28
 
6.1%
물 23
 
5.0%
수 21
 
4.6%
스 20
 
4.4%
류 16
 
3.5%
로 12
 
2.6%
업 12
 
2.6%
대 12
 
2.6%
지 11
 
2.4%
Other values (88) 230
50.2%
Common
ValueCountFrequency (%)
) 8
50.0%
( 8
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
81.2%
None 73
 
15.4%
ASCII 16
 
3.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 73
100.0%
Hangul
ValueCountFrequency (%)
운 28
 
7.3%
물 23
 
6.0%
수 21
 
5.5%
스 20
 
5.2%
류 16
 
4.2%
로 12
 
3.1%
업 12
 
3.1%
대 12
 
3.1%
지 11
 
2.9%
기 10
 
2.6%
Other values (87) 220
57.1%
ASCII
ValueCountFrequency (%)
) 8
50.0%
( 8
50.0%

주소
Text

Distinct62
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-11T01:24:46.225289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length30.096386
Min length19

Characters and Unicode

Total characters2498
Distinct characters112
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

Unique50 ?
Unique (%)60.2%

Sample

1st row부산광역시 금정구 중앙대로2035번길 7, 상가2층 (남산동, 기수빌라)
2nd row부산광역시 금정구 금단로 176, 507호(남산동, 칸트리힐)
3rd row부산광역시 금정구 금단로 176, 507호(남산동, 칸트리힐)
4th row부산광역시 금정구 무학송로 115 (부곡동)
5th row부산광역시 금정구 체육공원로 29번길38 (구서동)
ValueCountFrequency (%)
부산광역시 83
19.8%
금정구 83
19.8%
중앙대로 17
 
4.0%
부곡동 16
 
3.8%
구서동 9
 
2.1%
반송로 6
 
1.4%
7(청룡동 5
 
1.2%
금사동 5
 
1.2%
금정로 5
 
1.2%
중앙대로1926 5
 
1.2%
Other values (120) 186
44.3%
2023-12-11T01:24:46.650495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
14.0%
부 121
 
4.8%
1 111
 
4.4%
구 111
 
4.4%
금 98
 
3.9%
산 91
 
3.6%
로 91
 
3.6%
정 90
 
3.6%
시 85
 
3.4%
광 84
 
3.4%
Other values (102) 1266
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1486
59.5%
Decimal Number 421
 
16.9%
Space Separator 350
 
14.0%
Open Punctuation 82
 
3.3%
Close Punctuation 81
 
3.2%
Other Punctuation 71
 
2.8%
Dash Punctuation 6
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 121
 
8.1%
구 111
 
7.5%
금 98
 
6.6%
산 91
 
6.1%
로 91
 
6.1%
정 90
 
6.1%
시 85
 
5.7%
광 84
 
5.7%
역 83
 
5.6%
동 83
 
5.6%
Other values (85) 549
36.9%
Decimal Number
ValueCountFrequency (%)
1 111
26.4%
2 52
12.4%
3 46
10.9%
7 44
 
10.5%
0 42
 
10.0%
9 36
 
8.6%
6 31
 
7.4%
5 24
 
5.7%
8 22
 
5.2%
4 13
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 70
98.6%
@ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
350
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1486
59.5%
Common 1011
40.5%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 121
 
8.1%
구 111
 
7.5%
금 98
 
6.6%
산 91
 
6.1%
로 91
 
6.1%
정 90
 
6.1%
시 85
 
5.7%
광 84
 
5.7%
역 83
 
5.6%
동 83
 
5.6%
Other values (85) 549
36.9%
Common
ValueCountFrequency (%)
350
34.6%
1 111
 
11.0%
( 82
 
8.1%
) 81
 
8.0%
, 70
 
6.9%
2 52
 
5.1%
3 46
 
4.5%
7 44
 
4.4%
0 42
 
4.2%
9 36
 
3.6%
Other values (6) 97
 
9.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1486
59.5%
ASCII 1012
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
34.6%
1 111
 
11.0%
( 82
 
8.1%
) 81
 
8.0%
, 70
 
6.9%
2 52
 
5.1%
3 46
 
4.5%
7 44
 
4.3%
0 42
 
4.2%
9 36
 
3.6%
Other values (7) 98
 
9.7%
Hangul
ValueCountFrequency (%)
부 121
 
8.1%
구 111
 
7.5%
금 98
 
6.6%
산 91
 
6.1%
로 91
 
6.1%
정 90
 
6.1%
시 85
 
5.7%
광 84
 
5.7%
역 83
 
5.6%
동 83
 
5.6%
Other values (85) 549
36.9%

연락처
Text

Distinct56
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-11T01:24:46.899926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.939759
Min length9

Characters and Unicode

Total characters991
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)49.4%

Sample

1st row051-516-4075
2nd row051-516-3300
3rd row051-516-3300
4th row051-516-5121
5th row051-515-2525
ValueCountFrequency (%)
055-388-8822 6
 
7.2%
051-515-3361 5
 
6.0%
051-516-6100 4
 
4.8%
051-516-0778 3
 
3.6%
051-323-3631 3
 
3.6%
055-381-8989 3
 
3.6%
051-513-0113 2
 
2.4%
051-515-2555 2
 
2.4%
051-518-1188 2
 
2.4%
051-518-1941 2
 
2.4%
Other values (45) 51
61.4%
2023-12-11T01:24:47.634241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 198
20.0%
1 167
16.9%
- 164
16.5%
0 125
12.6%
3 73
 
7.4%
8 70
 
7.1%
2 60
 
6.1%
6 40
 
4.0%
9 32
 
3.2%
4 31
 
3.1%
Other values (2) 31
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 826
83.4%
Dash Punctuation 164
 
16.5%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 198
24.0%
1 167
20.2%
0 125
15.1%
3 73
 
8.8%
8 70
 
8.5%
2 60
 
7.3%
6 40
 
4.8%
9 32
 
3.9%
4 31
 
3.8%
7 30
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 164
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 991
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 198
20.0%
1 167
16.9%
- 164
16.5%
0 125
12.6%
3 73
 
7.4%
8 70
 
7.1%
2 60
 
6.1%
6 40
 
4.0%
9 32
 
3.2%
4 31
 
3.1%
Other values (2) 31
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 198
20.0%
1 167
16.9%
- 164
16.5%
0 125
12.6%
3 73
 
7.4%
8 70
 
7.1%
2 60
 
6.1%
6 40
 
4.0%
9 32
 
3.2%
4 31
 
3.1%
Other values (2) 31
 
3.1%

Interactions

2023-12-11T01:24:44.786688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:24:47.751362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명주소연락처
연번1.0001.0000.9540.913
업체명1.0001.0001.0001.000
주소0.9541.0001.0000.998
연락처0.9131.0000.9981.000

Missing values

2023-12-11T01:24:44.882379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:24:44.954107image/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

연번업체명주소연락처
01거성통운㈜부산광역시 금정구 중앙대로2035번길 7, 상가2층 (남산동, 기수빌라)051-516-4075
12광진운수㈜부산광역시 금정구 금단로 176, 507호(남산동, 칸트리힐)051-516-3300
23대동운수㈜부산광역시 금정구 금단로 176, 507호(남산동, 칸트리힐)051-516-3300
34동남특수레카부산광역시 금정구 무학송로 115 (부곡동)051-516-5121
45부산레카㈜부산광역시 금정구 체육공원로 29번길38 (구서동)051-515-2525
56㈜부산로지스부산광역시 금정구 중앙대로 1799 (부곡동)051-512-7100
67㈜부양물류부산광역시 금정구 중앙대로 1926, 12층 1310호 (구서동, 성원맨투로빌)051-516-0778
78(합)삼신운수부산광역시 금정구 중앙대로 1709 (부곡동)051-516-6100
89성일운수㈜부산광역시 금정구 오륜대로 14-1 (부곡동)051-513-4325
910(유)신동아기업부산광역시 금정구 오륜대로 14-1 (부곡동)051-513-4325
연번업체명주소연락처
7374㈜영진지엘에스부산광역시 금정구 장전로12번길 31(장전동)051-583-3911
7475금마실업㈜부산광역시 금정구 중앙대로1799,319호(구서동, 유림노르웨이아침)055-384-0171
7576㈜대광기업부산광역시 금정구 중앙대로1826길 22(구서동)051-518-7575
7677금마로지스틱㈜부산광역시 금정구 중앙대로1799,319호(구서동, 유림노르웨이아침)055-384-0171
7778범천물류㈜부산광역시 금정구 창룡로 7(청룡동)055-381-8989
7879동안물류㈜부산광역시 금정구 금샘로 570, 부경빌딩4층(변경된 주소임)051-703-9524
7980태영운수(합)부산광역시 금정구 중앙대로 1709(부곡동)051-516-6100
8081삼칠물류㈜부산광역시 금정구 청룡로 7(청룡동)055-381-8989
8182㈜육일운수부산광역시 금정구 청룡로 7(청룡동)051-316-6262
8283㈜광성로직스부산광역시 금정구 고분로 123, 209호(노포동)051-784-4927