Overview

Dataset statistics

Number of variables4
Number of observations36
Missing cells7
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory36.7 B

Variable types

Numeric1
Text3

Dataset

Description양산시 관내 화물운송업체 현황입니다. 업종, 상호명, 영업소 주소, 전화번호 등 공공데이터 정보를 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15005271

Alerts

연락처 has 7 (19.4%) missing valuesMissing
연번 has unique valuesUnique
상호(업체명) has unique valuesUnique
주사무소 주소 has unique valuesUnique

Reproduction

Analysis started2024-04-17 15:01:10.025071
Analysis finished2024-04-17 15:01:10.367233
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-04-18T00:01:10.414739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2024-04-18T00:01:10.520581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

상호(업체명)
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-18T00:01:10.710922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length6.5833333
Min length4

Characters and Unicode

Total characters237
Distinct characters69
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row강남익스프레스
2nd row신화이사
3rd row조은이사
4th row가나익스프레스
5th row우리이사
ValueCountFrequency (%)
강남익스프레스 1
 
2.7%
푸른익스프레스 1
 
2.7%
로젠이사양산점 1
 
2.7%
스토리이사몰 1
 
2.7%
kgb 1
 
2.7%
양산점 1
 
2.7%
무빙하우스 1
 
2.7%
kt익스프레스 1
 
2.7%
가람익스프레스 1
 
2.7%
동인익스프레스 1
 
2.7%
Other values (27) 27
73.0%
2024-04-18T00:01:11.207262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 51
21.5%
익 25
 
10.5%
프 24
 
10.1%
레 24
 
10.1%
이 10
 
4.2%
사 9
 
3.8%
K 3
 
1.3%
대 3
 
1.3%
한 3
 
1.3%
산 3
 
1.3%
Other values (59) 82
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 220
92.8%
Uppercase Letter 11
 
4.6%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%
Space Separator 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 51
23.2%
익 25
 
11.4%
프 24
 
10.9%
레 24
 
10.9%
이 10
 
4.5%
사 9
 
4.1%
대 3
 
1.4%
한 3
 
1.4%
산 3
 
1.4%
우 3
 
1.4%
Other values (49) 65
29.5%
Uppercase Letter
ValueCountFrequency (%)
K 3
27.3%
G 3
27.3%
S 2
18.2%
T 1
 
9.1%
B 1
 
9.1%
L 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 220
92.8%
Latin 11
 
4.6%
Common 6
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 51
23.2%
익 25
 
11.4%
프 24
 
10.9%
레 24
 
10.9%
이 10
 
4.5%
사 9
 
4.1%
대 3
 
1.4%
한 3
 
1.4%
산 3
 
1.4%
우 3
 
1.4%
Other values (49) 65
29.5%
Latin
ValueCountFrequency (%)
K 3
27.3%
G 3
27.3%
S 2
18.2%
T 1
 
9.1%
B 1
 
9.1%
L 1
 
9.1%
Common
ValueCountFrequency (%)
) 2
33.3%
( 2
33.3%
1
16.7%
, 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 220
92.8%
ASCII 17
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 51
23.2%
익 25
 
11.4%
프 24
 
10.9%
레 24
 
10.9%
이 10
 
4.5%
사 9
 
4.1%
대 3
 
1.4%
한 3
 
1.4%
산 3
 
1.4%
우 3
 
1.4%
Other values (49) 65
29.5%
ASCII
ValueCountFrequency (%)
K 3
17.6%
G 3
17.6%
S 2
11.8%
) 2
11.8%
( 2
11.8%
T 1
 
5.9%
1
 
5.9%
, 1
 
5.9%
B 1
 
5.9%
L 1
 
5.9%

연락처
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing7
Missing (%)19.4%
Memory size420.0 B
2024-04-18T00:01:11.370075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.931034
Min length9

Characters and Unicode

Total characters346
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row055-387-2422
2nd row055-381-2425
3rd row055-382-8824
4th row055-381-5524
5th row055-387-2423
ValueCountFrequency (%)
055-387-2422 1
 
3.4%
055-374-6900 1
 
3.4%
055-383-2420 1
 
3.4%
055-389-1414 1
 
3.4%
055-363-4000 1
 
3.4%
055-383-0024 1
 
3.4%
055-386-7724 1
 
3.4%
055-366-7924 1
 
3.4%
055-385-2224 1
 
3.4%
055-362-4411 1
 
3.4%
Other values (19) 19
65.5%
2024-04-18T00:01:11.650113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 65
18.8%
- 57
16.5%
0 47
13.6%
3 38
11.0%
2 36
10.4%
4 35
10.1%
8 23
 
6.6%
6 19
 
5.5%
7 11
 
3.2%
1 11
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 289
83.5%
Dash Punctuation 57
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 65
22.5%
0 47
16.3%
3 38
13.1%
2 36
12.5%
4 35
12.1%
8 23
 
8.0%
6 19
 
6.6%
7 11
 
3.8%
1 11
 
3.8%
9 4
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 346
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 65
18.8%
- 57
16.5%
0 47
13.6%
3 38
11.0%
2 36
10.4%
4 35
10.1%
8 23
 
6.6%
6 19
 
5.5%
7 11
 
3.2%
1 11
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 346
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 65
18.8%
- 57
16.5%
0 47
13.6%
3 38
11.0%
2 36
10.4%
4 35
10.1%
8 23
 
6.6%
6 19
 
5.5%
7 11
 
3.2%
1 11
 
3.2%

주사무소 주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-04-18T00:01:11.856083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length24.388889
Min length17

Characters and Unicode

Total characters878
Distinct characters86
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

Unique36 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 북안북8길 5, 가동 107호 (북부동, 북부시장상가)
2nd row경상남도 양산시 북정4길 36-1 (북정동)
3rd row경상남도 양산시 물금읍 오봉로 66
4th row경상남도 양산시 북안북8길 9 (북부동)
5th row경상남도 양산시 북정7길 18 (북정동)
ValueCountFrequency (%)
경상남도 36
18.7%
양산시 36
18.7%
북정동 10
 
5.2%
물금읍 8
 
4.1%
북부동 4
 
2.1%
북안북8길 3
 
1.6%
9 3
 
1.6%
오봉로 3
 
1.6%
26 2
 
1.0%
삼호동 2
 
1.0%
Other values (81) 86
44.6%
2024-04-18T00:01:12.167039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
18.0%
산 43
 
4.9%
상 43
 
4.9%
시 38
 
4.3%
남 37
 
4.2%
양 37
 
4.2%
경 36
 
4.1%
도 36
 
4.1%
북 34
 
3.9%
1 34
 
3.9%
Other values (76) 382
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 533
60.7%
Space Separator 158
 
18.0%
Decimal Number 119
 
13.6%
Close Punctuation 22
 
2.5%
Open Punctuation 22
 
2.5%
Other Punctuation 12
 
1.4%
Dash Punctuation 9
 
1.0%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 43
 
8.1%
상 43
 
8.1%
시 38
 
7.1%
남 37
 
6.9%
양 37
 
6.9%
경 36
 
6.8%
도 36
 
6.8%
북 34
 
6.4%
동 31
 
5.8%
길 23
 
4.3%
Other values (58) 175
32.8%
Decimal Number
ValueCountFrequency (%)
1 34
28.6%
3 13
 
10.9%
6 12
 
10.1%
5 11
 
9.2%
7 10
 
8.4%
2 9
 
7.6%
9 9
 
7.6%
4 8
 
6.7%
8 7
 
5.9%
0 6
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
60.7%
Common 342
39.0%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 43
 
8.1%
상 43
 
8.1%
시 38
 
7.1%
남 37
 
6.9%
양 37
 
6.9%
경 36
 
6.8%
도 36
 
6.8%
북 34
 
6.4%
동 31
 
5.8%
길 23
 
4.3%
Other values (58) 175
32.8%
Common
ValueCountFrequency (%)
158
46.2%
1 34
 
9.9%
) 22
 
6.4%
( 22
 
6.4%
3 13
 
3.8%
6 12
 
3.5%
, 12
 
3.5%
5 11
 
3.2%
7 10
 
2.9%
2 9
 
2.6%
Other values (5) 39
 
11.4%
Latin
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
60.7%
ASCII 345
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
45.8%
1 34
 
9.9%
) 22
 
6.4%
( 22
 
6.4%
3 13
 
3.8%
6 12
 
3.5%
, 12
 
3.5%
5 11
 
3.2%
7 10
 
2.9%
2 9
 
2.6%
Other values (8) 42
 
12.2%
Hangul
ValueCountFrequency (%)
산 43
 
8.1%
상 43
 
8.1%
시 38
 
7.1%
남 37
 
6.9%
양 37
 
6.9%
경 36
 
6.8%
도 36
 
6.8%
북 34
 
6.4%
동 31
 
5.8%
길 23
 
4.3%
Other values (58) 175
32.8%

Interactions

2024-04-18T00:01:10.183643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T00:01:12.247837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호(업체명)연락처주사무소 주소
연번1.0001.0001.0001.000
상호(업체명)1.0001.0001.0001.000
연락처1.0001.0001.0001.000
주사무소 주소1.0001.0001.0001.000

Missing values

2024-04-18T00:01:10.277134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T00:01:10.340485image/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

연번상호(업체명)연락처주사무소 주소
01강남익스프레스055-387-2422경상남도 양산시 북안북8길 5, 가동 107호 (북부동, 북부시장상가)
12신화이사<NA>경상남도 양산시 북정4길 36-1 (북정동)
23조은이사055-381-2425경상남도 양산시 물금읍 오봉로 66
34가나익스프레스055-382-8824경상남도 양산시 북안북8길 9 (북부동)
45우리이사055-381-5524경상남도 양산시 북정7길 18 (북정동)
56한화익스프레스055-387-2423경상남도 양산시 물금읍 목화7길 12
67금호익스프레스<NA>경상남도 양산시 북정중앙로 46 (북정동, 청미식당)
78롯데익스프레스055-366-3636경상남도 양산시 웅상대로 1113
89신세계익스프레스055-364-2424경상남도 양산시 평산남로 54 (평산동)
910한솔익스프레스055-372-3800경상남도 양산시 물금읍 목화9길 9
연번상호(업체명)연락처주사무소 주소
2627(주)드림익스프레스055-385-2224경상남도 양산시 삼성3길 5-17
2728동인익스프레스<NA>경상남도 양산시 북정16길 3-10
2829대우이사몰055-366-7924경상남도 양산시 고향의봄10길 26 (북정동)
2930현대익스프레스055-386-7724경상남도 양산시 물금읍 황산로 583
3031(SK,선경)익스프레스055-383-0024경상남도 양산시 북정5길 14, 1층 (북정동)
3132GS이사055-363-4000경상남도 양산시 북안북8길 13, 마동 201호 (북부동, 북부시장상가아파트)
3233따봉익스프레스<NA>경상남도 양산시 물금읍 오봉로 112
3334동아이사몰055-389-1414경상남도 양산시 삼성1길 37 (북정동)
3435한빛익스프레스055-383-2420경상남도 양산시 다방길 16 (다방동)
3536오릭스통운1800-9024경상남도 양산시 동면 금산5길 36-14