Overview

Dataset statistics

Number of variables4
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.1 B

Variable types

Categorical1
Text2
DateTime1

Dataset

Description제주특별자치도에서 운행하고 있는 콜택시업체와 관련한 데이터로 지역별, 호출(콜)택시 단체, 대표전화 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056321/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
호출(콜)택시명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:43:23.505524
Analysis finished2023-12-12 18:43:24.030524
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역별
Categorical

Distinct12
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
제주시
9 
한림읍
4 
조천읍
3 
서귀포시
3 
구좌읍
2 
Other values (7)
11 

Length

Max length4
Median length3
Mean length3.09375
Min length3

Unique

Unique3 ?
Unique (%)9.4%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 9
28.1%
한림읍 4
12.5%
조천읍 3
 
9.4%
서귀포시 3
 
9.4%
구좌읍 2
 
6.2%
남원읍 2
 
6.2%
성산읍 2
 
6.2%
안덕면 2
 
6.2%
대정읍 2
 
6.2%
애월읍 1
 
3.1%
Other values (2) 2
 
6.2%

Length

2023-12-13T03:43:24.181938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주시 9
28.1%
한림읍 4
12.5%
조천읍 3
 
9.4%
서귀포시 3
 
9.4%
구좌읍 2
 
6.2%
남원읍 2
 
6.2%
성산읍 2
 
6.2%
안덕면 2
 
6.2%
대정읍 2
 
6.2%
애월읍 1
 
3.1%
Other values (2) 2
 
6.2%

호출(콜)택시명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T03:43:24.494318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8.5
Mean length7.09375
Min length5

Characters and Unicode

Total characters227
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

Unique32 ?
Unique (%)100.0%

Sample

1st row제주개인브랜드콜
2nd rowVIP 호출택시
3rd row삼화외도콜택시
4th row평화로 콜택시
5th row한라산 호출택시
ValueCountFrequency (%)
콜택시 9
 
19.6%
호출택시 2
 
4.3%
제주개인브랜드콜 1
 
2.2%
ok 1
 
2.2%
한림호출개인택시 1
 
2.2%
한경콜택시 1
 
2.2%
서귀포브랜드콜택시 1
 
2.2%
중문호출개인택시 1
 
2.2%
서귀포콜택시 1
 
2.2%
남원 1
 
2.2%
Other values (27) 27
58.7%
2023-12-13T03:43:24.970533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 30
 
13.2%
택 30
 
13.2%
콜 22
 
9.7%
14
 
6.2%
호 8
 
3.5%
출 8
 
3.5%
인 7
 
3.1%
개 6
 
2.6%
한 5
 
2.2%
연 3
 
1.3%
Other values (69) 94
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 204
89.9%
Space Separator 14
 
6.2%
Decimal Number 4
 
1.8%
Uppercase Letter 3
 
1.3%
Lowercase Letter 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
 
14.7%
택 30
 
14.7%
콜 22
 
10.8%
호 8
 
3.9%
출 8
 
3.9%
인 7
 
3.4%
개 6
 
2.9%
한 5
 
2.5%
연 3
 
1.5%
도 3
 
1.5%
Other values (59) 82
40.2%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
1 1
25.0%
6 1
25.0%
9 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
V 1
33.3%
P 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 204
89.9%
Common 18
 
7.9%
Latin 5
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
 
14.7%
택 30
 
14.7%
콜 22
 
10.8%
호 8
 
3.9%
출 8
 
3.9%
인 7
 
3.4%
개 6
 
2.9%
한 5
 
2.5%
연 3
 
1.5%
도 3
 
1.5%
Other values (59) 82
40.2%
Common
ValueCountFrequency (%)
14
77.8%
5 1
 
5.6%
1 1
 
5.6%
6 1
 
5.6%
9 1
 
5.6%
Latin
ValueCountFrequency (%)
I 1
20.0%
V 1
20.0%
o 1
20.0%
k 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 204
89.9%
ASCII 23
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 30
 
14.7%
택 30
 
14.7%
콜 22
 
10.8%
호 8
 
3.9%
출 8
 
3.9%
인 7
 
3.4%
개 6
 
2.9%
한 5
 
2.5%
연 3
 
1.5%
도 3
 
1.5%
Other values (59) 82
40.2%
ASCII
ValueCountFrequency (%)
14
60.9%
I 1
 
4.3%
V 1
 
4.3%
5 1
 
4.3%
o 1
 
4.3%
k 1
 
4.3%
1 1
 
4.3%
6 1
 
4.3%
9 1
 
4.3%
P 1
 
4.3%

전화번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T03:43:25.295884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique32 ?
Unique (%)100.0%

Sample

1st row064-727-1111
2nd row064-711-6666
3rd row064-743-0404
4th row064-747-1011
5th row064-755-1950
ValueCountFrequency (%)
064-727-1111 1
 
3.1%
064-711-6666 1
 
3.1%
064-794-0707 1
 
3.1%
064-794-1400 1
 
3.1%
064-748-0067 1
 
3.1%
064-784-3030 1
 
3.1%
064-782-8200 1
 
3.1%
064-787-2420 1
 
3.1%
064-732-0082 1
 
3.1%
064-764-9191 1
 
3.1%
Other values (22) 22
68.8%
2023-12-13T03:43:25.801577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 67
17.4%
- 64
16.7%
4 54
14.1%
7 47
12.2%
6 45
11.7%
1 23
 
6.0%
8 23
 
6.0%
2 20
 
5.2%
9 20
 
5.2%
5 11
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67
20.9%
4 54
16.9%
7 47
14.7%
6 45
14.1%
1 23
 
7.2%
8 23
 
7.2%
2 20
 
6.2%
9 20
 
6.2%
5 11
 
3.4%
3 10
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 67
17.4%
- 64
16.7%
4 54
14.1%
7 47
12.2%
6 45
11.7%
1 23
 
6.0%
8 23
 
6.0%
2 20
 
5.2%
9 20
 
5.2%
5 11
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 67
17.4%
- 64
16.7%
4 54
14.1%
7 47
12.2%
6 45
11.7%
1 23
 
6.0%
8 23
 
6.0%
2 20
 
5.2%
9 20
 
5.2%
5 11
 
2.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2022-12-07 00:00:00
Maximum2022-12-07 00:00:00
2023-12-13T03:43:25.988179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:43:26.148801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T03:43:26.269976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역별호출(콜)택시명전화번호
지역별1.0001.0001.000
호출(콜)택시명1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-13T03:43:23.785205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:43:23.962022image/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

지역별호출(콜)택시명전화번호데이터기준일자
0제주시제주개인브랜드콜064-727-11112022-12-07
1제주시VIP 호출택시064-711-66662022-12-07
2제주시삼화외도콜택시064-743-04042022-12-07
3제주시평화로 콜택시064-747-10112022-12-07
4제주시한라산 호출택시064-755-19502022-12-07
5제주시516 콜택시064-751-65162022-12-07
6제주시우도 콜택시064-725-77882022-12-07
7제주시대형9인승개인택시064-723-88552022-12-07
8제주시제주점보택시 호출064-722-00302022-12-07
9조천읍교래번영로 콜택시064-727-00822022-12-07
지역별호출(콜)택시명전화번호데이터기준일자
22서귀포시서귀포콜택시064-762-01002022-12-07
23남원읍남원 콜택시064-764-91912022-12-07
24남원읍ok 콜택시064-732-00822022-12-07
25표선면표선콜택시064-787-24202022-12-07
26성산읍동성콜택시064-782-82002022-12-07
27성산읍성산콜택시064-784-30302022-12-07
28안덕면이어도 콜택시064-748-00672022-12-07
29안덕면안덕개인 콜택시064-794-14002022-12-07
30대정읍모슬포호출 개인택시064-794-07072022-12-07
31대정읍대안콜택시064-794-84012022-12-07