Overview

Dataset statistics

Number of variables4
Number of observations163
Missing cells126
Missing cells (%)19.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory32.8 B

Variable types

Categorical1
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

전화번호 has 126 (77.3%) missing valuesMissing

Reproduction

Analysis started2024-04-17 15:01:06.308395
Analysis finished2024-04-17 15:01:06.633626
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
일반화물
129 
이사화물
32 
일반 이사화물
 
2

Length

Max length7
Median length4
Mean length4.0368098
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반화물 129
79.1%
이사화물 32
 
19.6%
일반 이사화물 2
 
1.2%

Length

2024-04-18T00:01:06.686878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:01:06.770610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반화물 129
78.2%
이사화물 34
 
20.6%
일반 2
 
1.2%

상호
Text

Distinct162
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-18T00:01:06.946031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.8588957
Min length3

Characters and Unicode

Total characters1118
Distinct characters179
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

Unique161 ?
Unique (%)98.8%

Sample

1st row신화이사
2nd row강남익스프레스
3rd row따봉익스프레스
4th row동아이사몰
5th row한빛익스프레스
ValueCountFrequency (%)
대성통운 2
 
1.2%
양산지점 2
 
1.2%
서창종합물류(주 1
 
0.6%
동부합동화물 1
 
0.6%
부일통운 1
 
0.6%
주)에이스물류 1
 
0.6%
주)원진세라텍 1
 
0.6%
주)지아이지 1
 
0.6%
주)청림통운 1
 
0.6%
주)우리종합물류 1
 
0.6%
Other values (153) 153
92.7%
2024-04-18T00:01:07.257424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 91
 
8.1%
( 90
 
8.1%
) 90
 
8.1%
스 88
 
7.9%
물 65
 
5.8%
류 44
 
3.9%
이 30
 
2.7%
로 29
 
2.6%
지 25
 
2.2%
프 23
 
2.1%
Other values (169) 543
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
82.7%
Open Punctuation 90
 
8.1%
Close Punctuation 90
 
8.1%
Uppercase Letter 10
 
0.9%
Space Separator 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 91
 
9.8%
스 88
 
9.5%
물 65
 
7.0%
류 44
 
4.8%
이 30
 
3.2%
로 29
 
3.1%
지 25
 
2.7%
프 23
 
2.5%
화 23
 
2.5%
익 22
 
2.4%
Other values (158) 485
52.4%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
G 2
20.0%
J 1
 
10.0%
S 1
 
10.0%
B 1
 
10.0%
T 1
 
10.0%
F 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 90
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
82.7%
Common 183
 
16.4%
Latin 10
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 91
 
9.8%
스 88
 
9.5%
물 65
 
7.0%
류 44
 
4.8%
이 30
 
3.2%
로 29
 
3.1%
지 25
 
2.7%
프 23
 
2.5%
화 23
 
2.5%
익 22
 
2.4%
Other values (158) 485
52.4%
Latin
ValueCountFrequency (%)
K 3
30.0%
G 2
20.0%
J 1
 
10.0%
S 1
 
10.0%
B 1
 
10.0%
T 1
 
10.0%
F 1
 
10.0%
Common
ValueCountFrequency (%)
( 90
49.2%
) 90
49.2%
2
 
1.1%
1 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
82.7%
ASCII 193
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 91
 
9.8%
스 88
 
9.5%
물 65
 
7.0%
류 44
 
4.8%
이 30
 
3.2%
로 29
 
3.1%
지 25
 
2.7%
프 23
 
2.5%
화 23
 
2.5%
익 22
 
2.4%
Other values (158) 485
52.4%
ASCII
ValueCountFrequency (%)
( 90
46.6%
) 90
46.6%
K 3
 
1.6%
G 2
 
1.0%
2
 
1.0%
1 1
 
0.5%
J 1
 
0.5%
S 1
 
0.5%
B 1
 
0.5%
T 1
 
0.5%

영업소 주소
Text

Distinct157
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-18T00:01:07.478735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length26.02454
Min length15

Characters and Unicode

Total characters4242
Distinct characters202
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)93.3%

Sample

1st row경상남도 양산시 북정4길 36-1 (북정동)
2nd row경상남도 양산시 북안북8길 5 가동 107호 (북부동 북부시장상가)
3rd row경상남도 양산시 물금읍 오봉로 112
4th row경상남도 양산시 신기강변2길 48 (신기동)
5th row경상남도 양산시 다방길 16 (다방동)
ValueCountFrequency (%)
경상남도 163
 
17.4%
양산시 163
 
17.4%
동면 27
 
2.9%
물금읍 25
 
2.7%
상북면 18
 
1.9%
북정동 15
 
1.6%
어곡동 15
 
1.6%
2층 13
 
1.4%
양산대로 12
 
1.3%
다방동 10
 
1.1%
Other values (323) 474
50.7%
2024-04-18T00:01:07.816411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
773
18.2%
산 215
 
5.1%
상 197
 
4.6%
양 196
 
4.6%
남 184
 
4.3%
시 169
 
4.0%
경 165
 
3.9%
도 164
 
3.9%
1 131
 
3.1%
동 131
 
3.1%
Other values (192) 1917
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2609
61.5%
Space Separator 773
 
18.2%
Decimal Number 620
 
14.6%
Open Punctuation 97
 
2.3%
Close Punctuation 97
 
2.3%
Dash Punctuation 30
 
0.7%
Uppercase Letter 16
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 215
 
8.2%
상 197
 
7.6%
양 196
 
7.5%
남 184
 
7.1%
시 169
 
6.5%
경 165
 
6.3%
도 164
 
6.3%
동 131
 
5.0%
길 86
 
3.3%
로 79
 
3.0%
Other values (171) 1023
39.2%
Decimal Number
ValueCountFrequency (%)
1 131
21.1%
2 101
16.3%
3 68
11.0%
4 58
9.4%
0 54
8.7%
5 52
 
8.4%
8 50
 
8.1%
6 45
 
7.3%
7 40
 
6.5%
9 21
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
D 4
25.0%
C 4
25.0%
I 4
25.0%
S 1
 
6.2%
T 1
 
6.2%
K 1
 
6.2%
A 1
 
6.2%
Space Separator
ValueCountFrequency (%)
773
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2609
61.5%
Common 1617
38.1%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 215
 
8.2%
상 197
 
7.6%
양 196
 
7.5%
남 184
 
7.1%
시 169
 
6.5%
경 165
 
6.3%
도 164
 
6.3%
동 131
 
5.0%
길 86
 
3.3%
로 79
 
3.0%
Other values (171) 1023
39.2%
Common
ValueCountFrequency (%)
773
47.8%
1 131
 
8.1%
2 101
 
6.2%
( 97
 
6.0%
) 97
 
6.0%
3 68
 
4.2%
4 58
 
3.6%
0 54
 
3.3%
5 52
 
3.2%
8 50
 
3.1%
Other values (4) 136
 
8.4%
Latin
ValueCountFrequency (%)
D 4
25.0%
C 4
25.0%
I 4
25.0%
S 1
 
6.2%
T 1
 
6.2%
K 1
 
6.2%
A 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2609
61.5%
ASCII 1633
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
773
47.3%
1 131
 
8.0%
2 101
 
6.2%
( 97
 
5.9%
) 97
 
5.9%
3 68
 
4.2%
4 58
 
3.6%
0 54
 
3.3%
5 52
 
3.2%
8 50
 
3.1%
Other values (11) 152
 
9.3%
Hangul
ValueCountFrequency (%)
산 215
 
8.2%
상 197
 
7.6%
양 196
 
7.5%
남 184
 
7.1%
시 169
 
6.5%
경 165
 
6.3%
도 164
 
6.3%
동 131
 
5.0%
길 86
 
3.3%
로 79
 
3.0%
Other values (171) 1023
39.2%

전화번호
Text

MISSING 

Distinct37
Distinct (%)100.0%
Missing126
Missing (%)77.3%
Memory size1.4 KiB
2024-04-18T00:01:08.004064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters444
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

Unique37 ?
Unique (%)100.0%

Sample

1st row055-389-1414
2nd row055-383-2420
3rd row055-362-4646
4th row055-363-4000
5th row055-366-7924
ValueCountFrequency (%)
055-362-1234 1
 
2.7%
055-366-0052 1
 
2.7%
055-387-2003 1
 
2.7%
055-204-5460 1
 
2.7%
055-324-5867 1
 
2.7%
055-374-2429 1
 
2.7%
055-863-4646 1
 
2.7%
055-367-1370 1
 
2.7%
051-441-9533 1
 
2.7%
055-374-7744 1
 
2.7%
Other values (27) 27
73.0%
2024-04-18T00:01:08.272983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 81
18.2%
- 74
16.7%
0 63
14.2%
3 44
9.9%
4 42
9.5%
2 34
7.7%
6 29
 
6.5%
7 26
 
5.9%
8 23
 
5.2%
1 21
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 370
83.3%
Dash Punctuation 74
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 81
21.9%
0 63
17.0%
3 44
11.9%
4 42
11.4%
2 34
9.2%
6 29
 
7.8%
7 26
 
7.0%
8 23
 
6.2%
1 21
 
5.7%
9 7
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 444
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 81
18.2%
- 74
16.7%
0 63
14.2%
3 44
9.9%
4 42
9.5%
2 34
7.7%
6 29
 
6.5%
7 26
 
5.9%
8 23
 
5.2%
1 21
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 81
18.2%
- 74
16.7%
0 63
14.2%
3 44
9.9%
4 42
9.5%
2 34
7.7%
6 29
 
6.5%
7 26
 
5.9%
8 23
 
5.2%
1 21
 
4.7%

Correlations

2024-04-18T00:01:08.348729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종전화번호
업종1.0001.000
전화번호1.0001.000

Missing values

2024-04-18T00:01:06.541941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T00:01:06.605524image/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

업종상호영업소 주소전화번호
0이사화물신화이사경상남도 양산시 북정4길 36-1 (북정동)<NA>
1이사화물강남익스프레스경상남도 양산시 북안북8길 5 가동 107호 (북부동 북부시장상가)<NA>
2이사화물따봉익스프레스경상남도 양산시 물금읍 오봉로 112<NA>
3이사화물동아이사몰경상남도 양산시 신기강변2길 48 (신기동)055-389-1414
4이사화물한빛익스프레스경상남도 양산시 다방길 16 (다방동)055-383-2420
5이사화물KT익스프레스경상남도 양산시 삼호동부3길 6 (삼호동)055-362-4646
6이사화물이조익스프레스경상남도 양산시 물금읍 목화3길 9<NA>
7이사화물금호익스프레스경상남도 양산시 북정중앙로 46 (북정동 청미식당)<NA>
8이사화물현대통운익스프레스경상남도 양산시 동면 곡리2길 7 장평중국관 2층<NA>
9이사화물GS이사경상남도 양산시 북안북8길 13 마동 201호 (북부동 북부시장상가아파트)055-363-4000
업종상호영업소 주소전화번호
153일반화물삼원로지웰(주)경상남도 양산시 물금읍 범구로 25 디온플레이스앤메디 702호<NA>
154일반화물(주)동양로지스틱경상남도 양산시 동면 곡리3길 3055-387-1144
155일반화물클라크로지스틱스(주)경상남도 양산시 물금읍 야리3길 22 미건엘리시아 304호<NA>
156일반화물(주)제이케이특수물류경상남도 양산시 동면 금오5길 18-5<NA>
157일반화물천마통운경상남도 양산시 교동3길 18 (교동)<NA>
158일반화물(주)코멕스물류경상남도 양산시 산막공단북5길 7 (산막동 (주)코멕스물류)<NA>
159일반화물부성물류(주)경상남도 양산시 상북면 상북중앙로 2 2층055-385-6699
160일반화물(주)엘엑스판토스 양산지점경상남도 양산시 북정공단1길 72 (북정동)<NA>
161일반화물덕계전국화물경상남도 양산시 주남마을길 6<NA>
162일반화물웅상화물경상남도 양산시 용주로 88<NA>