Overview

Dataset statistics

Number of variables6
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory52.6 B

Variable types

Text3
Numeric2
Categorical1

Dataset

Description제주특별자치도 내에서 운영하고 있는 전세버스 업체와 관련한 데이터로 업체명, 전화번호, 주소 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056324/fileData.do

Alerts

데이터 기준일 has constant value ""Constant
업체명 has unique valuesUnique
전화 has unique valuesUnique
차량대수(대형) has 5 (9.8%) zerosZeros
차량대수(중형) has 1 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-12 11:21:50.621777
Analysis finished2023-12-12 11:21:51.986373
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T20:21:52.282713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.4117647
Min length5

Characters and Unicode

Total characters429
Distinct characters96
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row(주)가자고속
2nd row(주)국경교통
3rd row국제교통(주)
4th row그린고속관광(주)
5th row금오고속관광협동조합
ValueCountFrequency (%)
주)가자고속 1
 
1.9%
주)라이온교통 1
 
1.9%
주)유한교통 1
 
1.9%
주)이제주고속관광 1
 
1.9%
주)인성고속관광 1
 
1.9%
일광교통관광(주 1
 
1.9%
유)일등고속관광 1
 
1.9%
제주고속(주 1
 
1.9%
주)제주교통 1
 
1.9%
주)제주한솔투어 1
 
1.9%
Other values (42) 42
80.8%
2023-12-12T20:21:52.956515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 51
 
11.9%
( 47
 
11.0%
) 47
 
11.0%
광 31
 
7.2%
관 30
 
7.0%
고 25
 
5.8%
속 25
 
5.8%
교 12
 
2.8%
통 12
 
2.8%
한 7
 
1.6%
Other values (86) 142
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
77.6%
Open Punctuation 47
 
11.0%
Close Punctuation 47
 
11.0%
Space Separator 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 51
 
15.3%
광 31
 
9.3%
관 30
 
9.0%
고 25
 
7.5%
속 25
 
7.5%
교 12
 
3.6%
통 12
 
3.6%
한 7
 
2.1%
제 6
 
1.8%
스 6
 
1.8%
Other values (82) 128
38.4%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
77.9%
Common 95
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 51
 
15.3%
광 31
 
9.3%
관 30
 
9.0%
고 25
 
7.5%
속 25
 
7.5%
교 12
 
3.6%
통 12
 
3.6%
한 7
 
2.1%
제 6
 
1.8%
스 6
 
1.8%
Other values (83) 129
38.6%
Common
ValueCountFrequency (%)
( 47
49.5%
) 47
49.5%
1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
77.6%
ASCII 95
 
22.1%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 51
 
15.3%
광 31
 
9.3%
관 30
 
9.0%
고 25
 
7.5%
속 25
 
7.5%
교 12
 
3.6%
통 12
 
3.6%
한 7
 
2.1%
제 6
 
1.8%
스 6
 
1.8%
Other values (82) 128
38.4%
ASCII
ValueCountFrequency (%)
( 47
49.5%
) 47
49.5%
1
 
1.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T20:21:53.316584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters612
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

Unique51 ?
Unique (%)100.0%

Sample

1st row064-722-7111
2nd row064-782-9111
3rd row064-742-3387
4th row064-747-0305
5th row064-799-2233
ValueCountFrequency (%)
064-722-7111 1
 
2.0%
064-746-4666 1
 
2.0%
064-724-8825 1
 
2.0%
064-747-2801 1
 
2.0%
064-748-8111 1
 
2.0%
064-748-5505 1
 
2.0%
064-725-7979 1
 
2.0%
064-799-3366 1
 
2.0%
064-748-8850 1
 
2.0%
064-713-8511 1
 
2.0%
Other values (41) 41
80.4%
2023-12-12T20:21:53.911534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 102
16.7%
4 90
14.7%
0 83
13.6%
7 80
13.1%
6 72
11.8%
1 39
 
6.4%
5 34
 
5.6%
9 34
 
5.6%
2 30
 
4.9%
8 28
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
83.3%
Dash Punctuation 102
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 90
17.6%
0 83
16.3%
7 80
15.7%
6 72
14.1%
1 39
7.6%
5 34
 
6.7%
9 34
 
6.7%
2 30
 
5.9%
8 28
 
5.5%
3 20
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 102
16.7%
4 90
14.7%
0 83
13.6%
7 80
13.1%
6 72
11.8%
1 39
 
6.4%
5 34
 
5.6%
9 34
 
5.6%
2 30
 
4.9%
8 28
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 102
16.7%
4 90
14.7%
0 83
13.6%
7 80
13.1%
6 72
11.8%
1 39
 
6.4%
5 34
 
5.6%
9 34
 
5.6%
2 30
 
4.9%
8 28
 
4.6%

주소
Text

Distinct45
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T20:21:54.304564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length23.764706
Min length17

Characters and Unicode

Total characters1212
Distinct characters88
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)76.5%

Sample

1st row제주특별자치도 제주시 한북로 96(오등동)
2nd row제주특별자치도 제주시 노형로19 3층(해안동)
3rd row제주특별자치도 제주시 하소로 25(하귀2리)
4th row제주특별자치도 제주시 하광로 308(광령)
5th row제주특별자치도 제주시 세비데미길29(고성)
ValueCountFrequency (%)
제주특별자치도 51
24.9%
제주시 50
24.4%
광령평화10길 4
 
2.0%
광상로 3
 
1.5%
연북로 3
 
1.5%
3층(해안동 2
 
1.0%
한북로 2
 
1.0%
용해로 2
 
1.0%
노형로 2
 
1.0%
연미길 2
 
1.0%
Other values (73) 84
41.0%
2023-12-12T20:21:54.961698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
12.7%
주 103
 
8.5%
제 101
 
8.3%
도 57
 
4.7%
특 51
 
4.2%
별 51
 
4.2%
자 51
 
4.2%
치 51
 
4.2%
시 51
 
4.2%
) 37
 
3.1%
Other values (78) 505
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 823
67.9%
Decimal Number 155
 
12.8%
Space Separator 154
 
12.7%
Close Punctuation 37
 
3.1%
Open Punctuation 36
 
3.0%
Dash Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 103
12.5%
제 101
12.3%
도 57
 
6.9%
특 51
 
6.2%
별 51
 
6.2%
자 51
 
6.2%
치 51
 
6.2%
시 51
 
6.2%
로 34
 
4.1%
동 24
 
2.9%
Other values (64) 249
30.3%
Decimal Number
ValueCountFrequency (%)
1 29
18.7%
3 22
14.2%
2 19
12.3%
0 18
11.6%
5 14
9.0%
8 12
7.7%
6 11
 
7.1%
9 11
 
7.1%
7 10
 
6.5%
4 9
 
5.8%
Space Separator
ValueCountFrequency (%)
154
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 823
67.9%
Common 389
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 103
12.5%
제 101
12.3%
도 57
 
6.9%
특 51
 
6.2%
별 51
 
6.2%
자 51
 
6.2%
치 51
 
6.2%
시 51
 
6.2%
로 34
 
4.1%
동 24
 
2.9%
Other values (64) 249
30.3%
Common
ValueCountFrequency (%)
154
39.6%
) 37
 
9.5%
( 36
 
9.3%
1 29
 
7.5%
3 22
 
5.7%
2 19
 
4.9%
0 18
 
4.6%
5 14
 
3.6%
8 12
 
3.1%
6 11
 
2.8%
Other values (4) 37
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 823
67.9%
ASCII 389
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
39.6%
) 37
 
9.5%
( 36
 
9.3%
1 29
 
7.5%
3 22
 
5.7%
2 19
 
4.9%
0 18
 
4.6%
5 14
 
3.6%
8 12
 
3.1%
6 11
 
2.8%
Other values (4) 37
 
9.5%
Hangul
ValueCountFrequency (%)
주 103
12.5%
제 101
12.3%
도 57
 
6.9%
특 51
 
6.2%
별 51
 
6.2%
자 51
 
6.2%
치 51
 
6.2%
시 51
 
6.2%
로 34
 
4.1%
동 24
 
2.9%
Other values (64) 249
30.3%

차량대수(대형)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.627451
Minimum0
Maximum63
Zeros5
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T20:21:55.192303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median22
Q330
95-th percentile46
Maximum63
Range63
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.314595
Coefficient of variation (CV)0.58842663
Kurtosis1.7107223
Mean22.627451
Median Absolute Deviation (MAD)7
Skewness0.76965665
Sum1154
Variance177.27843
MonotonicityNot monotonic
2023-12-12T20:21:55.393856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 5
 
9.8%
31 4
 
7.8%
18 4
 
7.8%
13 3
 
5.9%
26 3
 
5.9%
16 3
 
5.9%
23 3
 
5.9%
22 2
 
3.9%
33 2
 
3.9%
21 2
 
3.9%
Other values (18) 20
39.2%
ValueCountFrequency (%)
0 5
9.8%
6 1
 
2.0%
12 1
 
2.0%
13 3
5.9%
14 1
 
2.0%
15 1
 
2.0%
16 3
5.9%
17 1
 
2.0%
18 4
7.8%
19 2
 
3.9%
ValueCountFrequency (%)
63 1
 
2.0%
59 1
 
2.0%
52 1
 
2.0%
40 1
 
2.0%
39 1
 
2.0%
34 1
 
2.0%
33 2
3.9%
32 1
 
2.0%
31 4
7.8%
29 1
 
2.0%

차량대수(중형)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.098039
Minimum0
Maximum58
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T20:21:55.579340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q318
95-th percentile32
Maximum58
Range58
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.534739
Coefficient of variation (CV)0.95343869
Kurtosis4.8575307
Mean12.098039
Median Absolute Deviation (MAD)5
Skewness1.9257361
Sum617
Variance133.0502
MonotonicityNot monotonic
2023-12-12T20:21:55.770480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 6
 
11.8%
3 4
 
7.8%
18 4
 
7.8%
8 3
 
5.9%
20 3
 
5.9%
12 3
 
5.9%
4 3
 
5.9%
1 3
 
5.9%
2 3
 
5.9%
17 2
 
3.9%
Other values (14) 17
33.3%
ValueCountFrequency (%)
0 1
 
2.0%
1 3
5.9%
2 3
5.9%
3 4
7.8%
4 3
5.9%
5 6
11.8%
6 2
 
3.9%
7 2
 
3.9%
8 3
5.9%
10 1
 
2.0%
ValueCountFrequency (%)
58 1
 
2.0%
46 1
 
2.0%
34 1
 
2.0%
30 1
 
2.0%
24 2
3.9%
21 1
 
2.0%
20 3
5.9%
18 4
7.8%
17 2
3.9%
16 1
 
2.0%

데이터 기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-05-23
51 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-23
2nd row2023-05-23
3rd row2023-05-23
4th row2023-05-23
5th row2023-05-23

Common Values

ValueCountFrequency (%)
2023-05-23 51
100.0%

Length

2023-12-12T20:21:55.944017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:21:56.111140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-23 51
100.0%

Interactions

2023-12-12T20:21:51.360198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:21:50.997519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:21:51.527664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:21:51.163053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:21:56.223367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명전화주소차량대수(대형)차량대수(중형)
업체명1.0001.0001.0001.0001.000
전화1.0001.0001.0001.0001.000
주소1.0001.0001.0000.9400.891
차량대수(대형)1.0001.0000.9401.0000.679
차량대수(중형)1.0001.0000.8910.6791.000
2023-12-12T20:21:56.391274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량대수(대형)차량대수(중형)
차량대수(대형)1.000-0.290
차량대수(중형)-0.2901.000

Missing values

2023-12-12T20:21:51.739470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:21:51.913435image/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

업체명전화주소차량대수(대형)차량대수(중형)데이터 기준일
0(주)가자고속064-722-7111제주특별자치도 제주시 한북로 96(오등동)3172023-05-23
1(주)국경교통064-782-9111제주특별자치도 제주시 노형로19 3층(해안동)19242023-05-23
2국제교통(주)064-742-3387제주특별자치도 제주시 하소로 25(하귀2리)0202023-05-23
3그린고속관광(주)064-747-0305제주특별자치도 제주시 하광로 308(광령)31182023-05-23
4금오고속관광협동조합064-799-2233제주특별자치도 제주시 세비데미길29(고성)14122023-05-23
5(주)노블고속관광064-749-7878제주특별자치도 제주시 중산간서로 6447-423112023-05-23
6(주)뉴삼성관광064-749-9001제주특별자치도 제주시 애조로 1311(오등동)0212023-05-23
7(주)대성고속관광064-713-3119제주특별자치도 제주시 광령평화10길 202262023-05-23
8(주)대한교통064-747-5577제주특별자치도 제주시 광령10길 25-7(광령)0242023-05-23
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