Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory60.9 B

Variable types

Categorical2
Text3
DateTime1
Numeric1

Dataset

Description제주특별자치도에서 운행하고 있는 법인택시와 관련한 데이터로 행정시, 업체명, 면허년월일, 보유대수, 소재지, 연락처 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056320/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업체명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:45:02.771726
Analysis finished2023-12-12 21:45:03.429990
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정시
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
제주시
28 
서귀포시
6 

Length

Max length4
Median length3
Mean length3.1764706
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 28
82.4%
서귀포시 6
 
17.6%

Length

2023-12-13T06:45:03.497675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:03.617729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 28
82.4%
서귀포시 6
 
17.6%

업체명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T06:45:03.855846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.1176471
Min length4

Characters and Unicode

Total characters242
Distinct characters53
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

Unique34 ?
Unique (%)100.0%

Sample

1st row(유)대산운수
2nd row(유)우일교통
3rd row대영운수(주)
4th row대림교통(주)
5th row덕남운수(주)
ValueCountFrequency (%)
유)대산운수 1
 
2.9%
유)우일교통 1
 
2.9%
주)서귀포택시 1
 
2.9%
주)동성택시운송 1
 
2.9%
한라교통(주 1
 
2.9%
대안택시(주 1
 
2.9%
남원운수(주 1
 
2.9%
현대자동차운수(주 1
 
2.9%
한영운수㈜ 1
 
2.9%
세기교통 1
 
2.9%
Other values (24) 24
70.6%
2023-12-13T06:45:04.308701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 32
13.2%
) 32
13.2%
주 32
13.2%
운 16
 
6.6%
수 15
 
6.2%
교 11
 
4.5%
통 11
 
4.5%
시 7
 
2.9%
택 7
 
2.9%
대 6
 
2.5%
Other values (43) 73
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
73.1%
Open Punctuation 32
 
13.2%
Close Punctuation 32
 
13.2%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 32
18.1%
운 16
 
9.0%
수 15
 
8.5%
교 11
 
6.2%
통 11
 
6.2%
시 7
 
4.0%
택 7
 
4.0%
대 6
 
3.4%
일 5
 
2.8%
성 4
 
2.3%
Other values (40) 63
35.6%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
73.6%
Common 64
 
26.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 32
18.0%
운 16
 
9.0%
수 15
 
8.4%
교 11
 
6.2%
통 11
 
6.2%
시 7
 
3.9%
택 7
 
3.9%
대 6
 
3.4%
일 5
 
2.8%
성 4
 
2.2%
Other values (41) 64
36.0%
Common
ValueCountFrequency (%)
( 32
50.0%
) 32
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
73.1%
ASCII 64
 
26.4%
None 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 32
50.0%
) 32
50.0%
Hangul
ValueCountFrequency (%)
주 32
18.1%
운 16
 
9.0%
수 15
 
8.5%
교 11
 
6.2%
통 11
 
6.2%
시 7
 
4.0%
택 7
 
4.0%
대 6
 
3.4%
일 5
 
2.8%
성 4
 
2.3%
Other values (40) 63
35.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

면허년월일
Date

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum1959-11-05 00:00:00
Maximum1992-01-30 00:00:00
2023-12-13T06:45:04.462856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:45:04.614184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

보유대수
Real number (ℝ)

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.323529
Minimum20
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-13T06:45:04.749182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile27.9
Q138.5
median42
Q346
95-th percentile54.5
Maximum76
Range56
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation9.7505884
Coefficient of variation (CV)0.23038221
Kurtosis4.0506748
Mean42.323529
Median Absolute Deviation (MAD)4
Skewness0.88775885
Sum1439
Variance95.073975
MonotonicityNot monotonic
2023-12-13T06:45:04.879247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
40 6
17.6%
42 5
14.7%
35 3
 
8.8%
45 3
 
8.8%
46 2
 
5.9%
50 2
 
5.9%
61 1
 
2.9%
30 1
 
2.9%
37 1
 
2.9%
49 1
 
2.9%
Other values (9) 9
26.5%
ValueCountFrequency (%)
20 1
 
2.9%
24 1
 
2.9%
30 1
 
2.9%
33 1
 
2.9%
35 3
8.8%
37 1
 
2.9%
38 1
 
2.9%
40 6
17.6%
42 5
14.7%
43 1
 
2.9%
ValueCountFrequency (%)
76 1
 
2.9%
61 1
 
2.9%
51 1
 
2.9%
50 2
5.9%
49 1
 
2.9%
48 1
 
2.9%
47 1
 
2.9%
46 2
5.9%
45 3
8.8%
43 1
 
2.9%

소재지
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T06:45:05.177931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length26.264706
Min length22

Characters and Unicode

Total characters893
Distinct characters92
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

Unique34 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 구좌읍 세화3길 30-3
2nd row제주특별자치도 제주시 한림읍 한림해안로 18
3rd row제주특별자치도 제주시 월산북길 20(도평동)
4th row제주특별자치도 제주시 선반로10길 21 (화북일동)
5th row제주특별자치도 제주시 청풍남8길 41 (화북일동)
ValueCountFrequency (%)
제주특별자치도 34
20.6%
제주시 28
 
17.0%
화북일동 9
 
5.5%
서귀포시 6
 
3.6%
22 2
 
1.2%
도평동 2
 
1.2%
애월읍 2
 
1.2%
해안마을길 2
 
1.2%
선반로10길 2
 
1.2%
해안동 2
 
1.2%
Other values (74) 76
46.1%
2023-12-13T06:45:05.735652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
14.7%
주 63
 
7.1%
제 62
 
6.9%
도 40
 
4.5%
별 34
 
3.8%
자 34
 
3.8%
치 34
 
3.8%
특 34
 
3.8%
시 34
 
3.8%
길 27
 
3.0%
Other values (82) 400
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 606
67.9%
Space Separator 131
 
14.7%
Decimal Number 106
 
11.9%
Open Punctuation 23
 
2.6%
Close Punctuation 23
 
2.6%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 63
 
10.4%
제 62
 
10.2%
도 40
 
6.6%
별 34
 
5.6%
자 34
 
5.6%
치 34
 
5.6%
특 34
 
5.6%
시 34
 
5.6%
길 27
 
4.5%
동 23
 
3.8%
Other values (68) 221
36.5%
Decimal Number
ValueCountFrequency (%)
1 26
24.5%
2 17
16.0%
3 14
13.2%
4 10
 
9.4%
0 9
 
8.5%
8 8
 
7.5%
7 7
 
6.6%
6 6
 
5.7%
5 5
 
4.7%
9 4
 
3.8%
Space Separator
ValueCountFrequency (%)
131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 606
67.9%
Common 287
32.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 63
 
10.4%
제 62
 
10.2%
도 40
 
6.6%
별 34
 
5.6%
자 34
 
5.6%
치 34
 
5.6%
특 34
 
5.6%
시 34
 
5.6%
길 27
 
4.5%
동 23
 
3.8%
Other values (68) 221
36.5%
Common
ValueCountFrequency (%)
131
45.6%
1 26
 
9.1%
( 23
 
8.0%
) 23
 
8.0%
2 17
 
5.9%
3 14
 
4.9%
4 10
 
3.5%
0 9
 
3.1%
8 8
 
2.8%
7 7
 
2.4%
Other values (4) 19
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 606
67.9%
ASCII 287
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
45.6%
1 26
 
9.1%
( 23
 
8.0%
) 23
 
8.0%
2 17
 
5.9%
3 14
 
4.9%
4 10
 
3.5%
0 9
 
3.1%
8 8
 
2.8%
7 7
 
2.4%
Other values (4) 19
 
6.6%
Hangul
ValueCountFrequency (%)
주 63
 
10.4%
제 62
 
10.2%
도 40
 
6.6%
별 34
 
5.6%
자 34
 
5.6%
치 34
 
5.6%
특 34
 
5.6%
시 34
 
5.6%
길 27
 
4.5%
동 23
 
3.8%
Other values (68) 221
36.5%

연락처
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T06:45:06.000867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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

Unique34 ?
Unique (%)100.0%

Sample

1st row064-784-2088
2nd row064-796-6858
3rd row064-711-6403
4th row064-755-3030
5th row064-725-4323
ValueCountFrequency (%)
064-784-2088 1
 
2.9%
064-796-6858 1
 
2.9%
064-762-2764 1
 
2.9%
064-782-2107 1
 
2.9%
064-732-6199 1
 
2.9%
064-794-8400 1
 
2.9%
064-764-0710 1
 
2.9%
064-746-4890 1
 
2.9%
064-755-9215 1
 
2.9%
064-722-6552 1
 
2.9%
Other values (24) 24
70.6%
2023-12-13T06:45:06.443466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.7%
4 57
14.0%
6 56
13.7%
7 52
12.7%
0 49
12.0%
5 34
8.3%
2 27
 
6.6%
1 24
 
5.9%
9 15
 
3.7%
8 14
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 57
16.8%
6 56
16.5%
7 52
15.3%
0 49
14.4%
5 34
10.0%
2 27
7.9%
1 24
7.1%
9 15
 
4.4%
8 14
 
4.1%
3 12
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.7%
4 57
14.0%
6 56
13.7%
7 52
12.7%
0 49
12.0%
5 34
8.3%
2 27
 
6.6%
1 24
 
5.9%
9 15
 
3.7%
8 14
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.7%
4 57
14.0%
6 56
13.7%
7 52
12.7%
0 49
12.0%
5 34
8.3%
2 27
 
6.6%
1 24
 
5.9%
9 15
 
3.7%
8 14
 
3.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-06-30
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-30
2nd row2023-06-30
3rd row2023-06-30
4th row2023-06-30
5th row2023-06-30

Common Values

ValueCountFrequency (%)
2023-06-30 34
100.0%

Length

2023-12-13T06:45:06.627045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:45:06.755497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-30 34
100.0%

Interactions

2023-12-13T06:45:03.094110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:45:06.813543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정시업체명면허년월일보유대수소재지연락처
행정시1.0001.0001.0000.0001.0001.000
업체명1.0001.0001.0001.0001.0001.000
면허년월일1.0001.0001.0000.1171.0001.000
보유대수0.0001.0000.1171.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
2023-12-13T06:45:06.921156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보유대수행정시
보유대수1.0000.000
행정시0.0001.000

Missing values

2023-12-13T06:45:03.250024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:45:03.386744image/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

행정시업체명면허년월일보유대수소재지연락처데이터기준일자
0제주시(유)대산운수1983-12-0735제주특별자치도 제주시 구좌읍 세화3길 30-3064-784-20882023-06-30
1제주시(유)우일교통1983-11-0420제주특별자치도 제주시 한림읍 한림해안로 18064-796-68582023-06-30
2제주시대영운수(주)1979-10-2035제주특별자치도 제주시 월산북길 20(도평동)064-711-64032023-06-30
3제주시대림교통(주)1982-02-0847제주특별자치도 제주시 선반로10길 21 (화북일동)064-755-30302023-06-30
4제주시덕남운수(주)1981-03-2340제주특별자치도 제주시 청풍남8길 41 (화북일동)064-725-43232023-06-30
5제주시동방운수(주)1963-03-0548제주특별자치도 제주시 선반로2길 5-3 (화북일동)064-755-61022023-06-30
6제주시백마교통(주)1967-02-2742제주특별자치도 제주시 신산마을길114(도평동)064-755-77612023-06-30
7제주시성원택시(주)1990-04-0342제주특별자치도 제주시 한경면 일주서로 4334064-772-44882023-06-30
8제주시성일운수(주)1966-11-0438제주특별자치도 제주시 번영로 316 (영평동)064-742-92942023-06-30
9제주시세기교통1969-02-1433제주특별자치도 제주시 논세길 80 (내도동)064-722-65522023-06-30
행정시업체명면허년월일보유대수소재지연락처데이터기준일자
24제주시칠성교통(주)1983-12-2142제주특별자치도 제주시 애월읍 중엄1길 13064-713-19722023-06-30
25제주시평화운수(주)1979-09-1543제주특별자치도 제주시 청풍남6길 39 (화북일동)064-755-36062023-06-30
26제주시한영운수㈜1966-03-1449제주특별자치도 제주시 선반로10길 22 (화북일동)064-755-92152023-06-30
27제주시현대자동차운수(주)1968-03-1445제주특별자치도 제주시 해안마을길 148 (해안동)064-746-48902023-06-30
28서귀포시남원운수(주)1983-10-2737제주특별자치도 서귀포시 남원읍 하례돈야로128번길 107064-764-07102023-06-30
29서귀포시대안택시(주)1983-09-1435제주특별자치도 서귀포시 대정읍 신영로 14064-794-84002023-06-30
30서귀포시한라교통(주)1979-09-0140제주특별자치도 서귀포시 토평공단로107번길 22 (토평동)064-732-61992023-06-30
31서귀포시(주)동성택시운송1983-10-2746제주특별자치도 서귀포시 성산읍 고성오조로 103064-782-21072023-06-30
32서귀포시(주)서귀포택시1969-08-0550제주특별자치도 서귀포시 토평공단로127번길 25 (토평동)064-762-27642023-06-30
33서귀포시(주)안덕택시1991-12-2130제주특별자치도 서귀포시 안덕면 화순중앙로12번길 42064-794-13022023-06-30