Overview

Dataset statistics

Number of variables4
Number of observations26
Missing cells19
Missing cells (%)18.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory990.0 B
Average record size in memory38.1 B

Variable types

Numeric1
Text3

Dataset

Description통영시 화물운송주선업체(이사업체) 등록 현황에 대한 업체명,소재지도로명주소,전화번호에 대한 정보를 제공합니다.
Author경상남도 통영시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15006045

Alerts

전화번호 has 19 (73.1%) missing valuesMissing
일련번호 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:42:30.597653
Analysis finished2023-12-10 23:42:31.092166
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-11T08:42:31.176436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-11T08:42:31.321011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

업체명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T08:42:31.520563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.3846154
Min length4

Characters and Unicode

Total characters166
Distinct characters79
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row통영양양화물알선공사
2nd row창성종합화물
3rd row통영안전화물
4th row한국무빙이사
5th row통영익스프레스
ValueCountFrequency (%)
통영양양화물알선공사 1
 
3.4%
통영점 1
 
3.4%
미래종합물류 1
 
3.4%
국제익스프레스 1
 
3.4%
삼보화물 1
 
3.4%
청년 1
 
3.4%
이사하는 1
 
3.4%
유)더원물류 1
 
3.4%
한화익스프레스 1
 
3.4%
lg트랜스 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T08:42:31.893033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 14
 
8.4%
사 10
 
6.0%
이 9
 
5.4%
물 8
 
4.8%
영 6
 
3.6%
통 5
 
3.0%
화 5
 
3.0%
레 4
 
2.4%
류 4
 
2.4%
프 4
 
2.4%
Other values (69) 97
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
91.6%
Uppercase Letter 7
 
4.2%
Space Separator 3
 
1.8%
Open Punctuation 2
 
1.2%
Close Punctuation 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 14
 
9.2%
사 10
 
6.6%
이 9
 
5.9%
물 8
 
5.3%
영 6
 
3.9%
통 5
 
3.3%
화 5
 
3.3%
레 4
 
2.6%
류 4
 
2.6%
프 4
 
2.6%
Other values (61) 83
54.6%
Uppercase Letter
ValueCountFrequency (%)
G 3
42.9%
L 1
 
14.3%
K 1
 
14.3%
B 1
 
14.3%
S 1
 
14.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
91.6%
Latin 7
 
4.2%
Common 7
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 14
 
9.2%
사 10
 
6.6%
이 9
 
5.9%
물 8
 
5.3%
영 6
 
3.9%
통 5
 
3.3%
화 5
 
3.3%
레 4
 
2.6%
류 4
 
2.6%
프 4
 
2.6%
Other values (61) 83
54.6%
Latin
ValueCountFrequency (%)
G 3
42.9%
L 1
 
14.3%
K 1
 
14.3%
B 1
 
14.3%
S 1
 
14.3%
Common
ValueCountFrequency (%)
3
42.9%
( 2
28.6%
) 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
91.6%
ASCII 14
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 14
 
9.2%
사 10
 
6.6%
이 9
 
5.9%
물 8
 
5.3%
영 6
 
3.9%
통 5
 
3.3%
화 5
 
3.3%
레 4
 
2.6%
류 4
 
2.6%
프 4
 
2.6%
Other values (61) 83
54.6%
ASCII
ValueCountFrequency (%)
G 3
21.4%
3
21.4%
( 2
14.3%
) 2
14.3%
L 1
 
7.1%
K 1
 
7.1%
B 1
 
7.1%
S 1
 
7.1%

소재지도로명주소
Text

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-11T08:42:32.145063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length23.115385
Min length19

Characters and Unicode

Total characters601
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)76.9%

Sample

1st row경상남도 통영시 멘데산업길 86(정량동)
2nd row경상남도 통영시 도남로112(봉평동)
3rd row경상남도 통영시 장좌로 144(동호동)
4th row경상남도 통영시 발개로 153(도남동,충무도남주공아파트)
5th row경상남도 통영시 정동4길 15(정량동, 동호상가)
ValueCountFrequency (%)
경상남도 26
21.7%
통영시 26
21.7%
용남면 10
 
8.3%
남해안대로 4
 
3.3%
광도면 3
 
2.5%
분덕길 2
 
1.7%
144(동호동 2
 
1.7%
204 2
 
1.7%
장좌로 2
 
1.7%
30 2
 
1.7%
Other values (40) 41
34.2%
2023-12-11T08:42:32.610504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
15.6%
남 45
 
7.5%
도 33
 
5.5%
시 27
 
4.5%
상 27
 
4.5%
경 26
 
4.3%
통 26
 
4.3%
영 26
 
4.3%
1 21
 
3.5%
동 21
 
3.5%
Other values (75) 255
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 387
64.4%
Space Separator 94
 
15.6%
Decimal Number 83
 
13.8%
Open Punctuation 13
 
2.2%
Close Punctuation 13
 
2.2%
Dash Punctuation 6
 
1.0%
Other Punctuation 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 45
 
11.6%
도 33
 
8.5%
시 27
 
7.0%
상 27
 
7.0%
경 26
 
6.7%
통 26
 
6.7%
영 26
 
6.7%
동 21
 
5.4%
길 14
 
3.6%
면 13
 
3.4%
Other values (60) 129
33.3%
Decimal Number
ValueCountFrequency (%)
1 21
25.3%
4 15
18.1%
2 13
15.7%
3 10
12.0%
0 9
10.8%
8 4
 
4.8%
5 4
 
4.8%
7 3
 
3.6%
6 2
 
2.4%
9 2
 
2.4%
Space Separator
ValueCountFrequency (%)
94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 387
64.4%
Common 214
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 45
 
11.6%
도 33
 
8.5%
시 27
 
7.0%
상 27
 
7.0%
경 26
 
6.7%
통 26
 
6.7%
영 26
 
6.7%
동 21
 
5.4%
길 14
 
3.6%
면 13
 
3.4%
Other values (60) 129
33.3%
Common
ValueCountFrequency (%)
94
43.9%
1 21
 
9.8%
4 15
 
7.0%
( 13
 
6.1%
) 13
 
6.1%
2 13
 
6.1%
3 10
 
4.7%
0 9
 
4.2%
- 6
 
2.8%
, 5
 
2.3%
Other values (5) 15
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 387
64.4%
ASCII 214
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
43.9%
1 21
 
9.8%
4 15
 
7.0%
( 13
 
6.1%
) 13
 
6.1%
2 13
 
6.1%
3 10
 
4.7%
0 9
 
4.2%
- 6
 
2.8%
, 5
 
2.3%
Other values (5) 15
 
7.0%
Hangul
ValueCountFrequency (%)
남 45
 
11.6%
도 33
 
8.5%
시 27
 
7.0%
상 27
 
7.0%
경 26
 
6.7%
통 26
 
6.7%
영 26
 
6.7%
동 21
 
5.4%
길 14
 
3.6%
면 13
 
3.4%
Other values (60) 129
33.3%

전화번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing19
Missing (%)73.1%
Memory size340.0 B
2023-12-11T08:42:32.808432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters84
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

Unique7 ?
Unique (%)100.0%

Sample

1st row055-644-2021
2nd row055-649-0900
3rd row055-644-4445
4th row055-647-0524
5th row055-648-1124
ValueCountFrequency (%)
055-644-2021 1
14.3%
055-649-0900 1
14.3%
055-644-4445 1
14.3%
055-647-0524 1
14.3%
055-648-1124 1
14.3%
055-643-2878 1
14.3%
055-649-4226 1
14.3%
2023-12-11T08:42:33.178745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 16
19.0%
4 15
17.9%
- 14
16.7%
0 12
14.3%
6 8
9.5%
2 7
8.3%
1 3
 
3.6%
9 3
 
3.6%
8 3
 
3.6%
7 2
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70
83.3%
Dash Punctuation 14
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 16
22.9%
4 15
21.4%
0 12
17.1%
6 8
11.4%
2 7
10.0%
1 3
 
4.3%
9 3
 
4.3%
8 3
 
4.3%
7 2
 
2.9%
3 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 16
19.0%
4 15
17.9%
- 14
16.7%
0 12
14.3%
6 8
9.5%
2 7
8.3%
1 3
 
3.6%
9 3
 
3.6%
8 3
 
3.6%
7 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 16
19.0%
4 15
17.9%
- 14
16.7%
0 12
14.3%
6 8
9.5%
2 7
8.3%
1 3
 
3.6%
9 3
 
3.6%
8 3
 
3.6%
7 2
 
2.4%

Interactions

2023-12-11T08:42:30.814955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:42:33.269014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호업체명소재지도로명주소전화번호
일련번호1.0001.0000.9041.000
업체명1.0001.0001.0001.000
소재지도로명주소0.9041.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-11T08:42:30.959475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:42:31.046176image/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

일련번호업체명소재지도로명주소전화번호
01통영양양화물알선공사경상남도 통영시 멘데산업길 86(정량동)055-644-2021
12창성종합화물경상남도 통영시 도남로112(봉평동)055-649-0900
23통영안전화물경상남도 통영시 장좌로 144(동호동)055-644-4445
34한국무빙이사경상남도 통영시 발개로 153(도남동,충무도남주공아파트)055-647-0524
45통영익스프레스경상남도 통영시 정동4길 15(정량동, 동호상가)055-648-1124
56GS이사몰경상남도 통영시 용남면 남해안대로 204<NA>
67영구이사크리닉경상남도 통영시 용남면 남해안대로 204<NA>
78강남트랜스경상남도 통영시 새미골3길 34-3(도천동)<NA>
89대승물류경상남도 통영시 한실1길 24(인평동, 일성한우리아파트2차)<NA>
910삼영로지스경상남도 통영시 용남면 견유1길 58055-643-2878
일련번호업체명소재지도로명주소전화번호
1617이사를 부탁해경상남도 통영시 광도면 신죽3길 26-3<NA>
1718통일로지스틱스경상남도 통영시 동충1길 24(항남동)<NA>
1819LG트랜스경상남도 통영시 용남면 삼화두레길 9-10<NA>
1920한화익스프레스경상남도 통영시 동충3길 12-3(항남동)<NA>
2021(유)더원물류경상남도 통영시 안개로 14-11(무전동)055-649-4226
2122이사하는 청년경상남도 통영시 용남면 견내량로 104<NA>
2223삼보화물경상남도 통영시 용남면 견내량로 12<NA>
2324국제익스프레스경상남도 통영시 광도면 남해안대로 1297<NA>
2425미래종합물류경상남도 통영시 광도면 임외길 21-20, 401호<NA>
2526그린박스이사경상남도 통영시 용남면 분덕길 30<NA>