Overview

Dataset statistics

Number of variables6
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory53.7 B

Variable types

Text3
Numeric1
Categorical2

Dataset

Description(사)제주올레에서 지정한 제주도 올레코스와 관련된 정보로 1~21코스 까지의 코스명, 거리, 소요시간정보, 시종점정보 등을 제공합니다.
URLhttps://www.data.go.kr/data/15043496/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
거리(km) is highly overall correlated with 소요시간정보High correlation
소요시간정보 is highly overall correlated with 거리(km)High correlation
코스명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:33:18.685659
Analysis finished2023-12-12 22:33:19.332466
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

코스별
Text

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T07:33:19.472355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.9285714
Min length3

Characters and Unicode

Total characters110
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)85.7%

Sample

1st row1코스
2nd row2코스
3rd row3코스
4th row3코스
5th row4코스
ValueCountFrequency (%)
15코스 2
 
7.1%
3코스 2
 
7.1%
1코스 1
 
3.6%
14-1코스 1
 
3.6%
10-1코스 1
 
3.6%
7-1코스 1
 
3.6%
1-1코스 1
 
3.6%
21코스 1
 
3.6%
20코스 1
 
3.6%
19코스 1
 
3.6%
Other values (16) 16
57.1%
2023-12-13T07:33:19.776342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
코 28
25.5%
스 28
25.5%
1 23
20.9%
- 5
 
4.5%
2 4
 
3.6%
5 3
 
2.7%
3 3
 
2.7%
4 3
 
2.7%
7 3
 
2.7%
8 3
 
2.7%
Other values (3) 7
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56
50.9%
Decimal Number 49
44.5%
Dash Punctuation 5
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
46.9%
2 4
 
8.2%
5 3
 
6.1%
3 3
 
6.1%
4 3
 
6.1%
7 3
 
6.1%
8 3
 
6.1%
0 3
 
6.1%
6 2
 
4.1%
9 2
 
4.1%
Other Letter
ValueCountFrequency (%)
코 28
50.0%
스 28
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56
50.9%
Common 54
49.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 23
42.6%
- 5
 
9.3%
2 4
 
7.4%
5 3
 
5.6%
3 3
 
5.6%
4 3
 
5.6%
7 3
 
5.6%
8 3
 
5.6%
0 3
 
5.6%
6 2
 
3.7%
Hangul
ValueCountFrequency (%)
코 28
50.0%
스 28
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56
50.9%
ASCII 54
49.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
코 28
50.0%
스 28
50.0%
ASCII
ValueCountFrequency (%)
1 23
42.6%
- 5
 
9.3%
2 4
 
7.4%
5 3
 
5.6%
3 3
 
5.6%
4 3
 
5.6%
7 3
 
5.6%
8 3
 
5.6%
0 3
 
5.6%
6 2
 
3.7%

코스명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T07:33:19.920897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.3571429
Min length2

Characters and Unicode

Total characters234
Distinct characters66
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

Unique28 ?
Unique (%)100.0%

Sample

1st row시흥 - 광치기
2nd row광치기 - 온평
3rd row온평 - 표선(A)
4th row온평 - 표선(B)
5th row표선 - 남원
ValueCountFrequency (%)
25
32.1%
저지 3
 
3.8%
온평 3
 
3.8%
한림 3
 
3.8%
제주올레여행자센터 3
 
3.8%
김녕 2
 
2.6%
제주원도심 2
 
2.6%
광령 2
 
2.6%
하도 2
 
2.6%
용수 2
 
2.6%
Other values (22) 31
39.7%
2023-12-13T07:33:20.245907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50
21.4%
- 25
 
10.7%
도 7
 
3.0%
평 7
 
3.0%
광 5
 
2.1%
주 5
 
2.1%
제 5
 
2.1%
자 4
 
1.7%
( 4
 
1.7%
) 4
 
1.7%
Other values (56) 118
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
62.8%
Space Separator 50
 
21.4%
Dash Punctuation 25
 
10.7%
Open Punctuation 4
 
1.7%
Close Punctuation 4
 
1.7%
Uppercase Letter 4
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7
 
4.8%
평 7
 
4.8%
광 5
 
3.4%
주 5
 
3.4%
제 5
 
3.4%
자 4
 
2.7%
터 4
 
2.7%
원 4
 
2.7%
행 3
 
2.0%
여 3
 
2.0%
Other values (50) 100
68.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
62.8%
Common 83
35.5%
Latin 4
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7
 
4.8%
평 7
 
4.8%
광 5
 
3.4%
주 5
 
3.4%
제 5
 
3.4%
자 4
 
2.7%
터 4
 
2.7%
원 4
 
2.7%
행 3
 
2.0%
여 3
 
2.0%
Other values (50) 100
68.0%
Common
ValueCountFrequency (%)
50
60.2%
- 25
30.1%
( 4
 
4.8%
) 4
 
4.8%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
62.8%
ASCII 87
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50
57.5%
- 25
28.7%
( 4
 
4.6%
) 4
 
4.6%
A 2
 
2.3%
B 2
 
2.3%
Hangul
ValueCountFrequency (%)
도 7
 
4.8%
평 7
 
4.8%
광 5
 
3.4%
주 5
 
3.4%
제 5
 
3.4%
자 4
 
2.7%
터 4
 
2.7%
원 4
 
2.7%
행 3
 
2.0%
여 3
 
2.0%
Other values (50) 100
68.0%

거리(km)
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.503571
Minimum4.2
Maximum20.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-13T07:33:20.381565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile9.895
Q113.3
median15.85
Q318.125
95-th percentile19.665
Maximum20.9
Range16.7
Interquartile range (IQR)4.825

Descriptive statistics

Standard deviation3.7635171
Coefficient of variation (CV)0.24275162
Kurtosis1.5341014
Mean15.503571
Median Absolute Deviation (MAD)2.4
Skewness-1.1080781
Sum434.1
Variance14.164061
MonotonicityNot monotonic
2023-12-13T07:33:20.491533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11.3 2
 
7.1%
17.6 2
 
7.1%
15.6 2
 
7.1%
15.1 1
 
3.6%
16.5 1
 
3.6%
18.2 1
 
3.6%
9.3 1
 
3.6%
4.2 1
 
3.6%
15.7 1
 
3.6%
19.4 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
4.2 1
3.6%
9.3 1
3.6%
11.0 1
3.6%
11.3 2
7.1%
11.8 1
3.6%
13.0 1
3.6%
13.4 1
3.6%
14.6 1
3.6%
15.1 1
3.6%
15.6 2
7.1%
ValueCountFrequency (%)
20.9 1
3.6%
19.7 1
3.6%
19.6 1
3.6%
19.4 1
3.6%
19.1 1
3.6%
19.0 1
3.6%
18.2 1
3.6%
18.1 1
3.6%
17.6 2
7.1%
17.5 1
3.6%

소요시간정보
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
4~5시간
8 
5~6시간
8 
6~7시간
6 
3~4시간
4 
1~2시간
1 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)7.1%

Sample

1st row4~5시간
2nd row4~5시간
3rd row6~7시간
4th row4~5시간
5th row6~7시간

Common Values

ValueCountFrequency (%)
4~5시간 8
28.6%
5~6시간 8
28.6%
6~7시간 6
21.4%
3~4시간 4
14.3%
1~2시간 1
 
3.6%
6~8시간 1
 
3.6%

Length

2023-12-13T07:33:20.609302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:33:20.710832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4~5시간 8
28.6%
5~6시간 8
28.6%
6~7시간 6
21.4%
3~4시간 4
14.3%
1~2시간 1
 
3.6%
6~8시간 1
 
3.6%

시종점정보
Text

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T07:33:20.906893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length13.321429
Min length8

Characters and Unicode

Total characters373
Distinct characters117
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

Unique24 ?
Unique (%)85.7%

Sample

1st row시흥리정류장-광치기 해변
2nd row광치기 해변-온평포구
3rd row온평포구-표선해수욕장
4th row온평포구-표선해수욕장
5th row표선해수욕장-남원포구
ValueCountFrequency (%)
한림항-고내포구 2
 
5.4%
온평포구-표선해수욕장 2
 
5.4%
해변 1
 
2.7%
시흥리정류장-광치기 1
 
2.7%
저지예술정보화마을-오설록녹차밭 1
 
2.7%
치안센터 1
 
2.7%
상동포구-가파 1
 
2.7%
서귀포버스터미널앞-제주올레여행자센터 1
 
2.7%
천진항.하우목동항-천진항.하우목동항 1
 
2.7%
고내포구-광령1리사무소 1
 
2.7%
Other values (25) 25
67.6%
2023-12-13T07:33:21.288905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 28
 
7.5%
포 16
 
4.3%
구 15
 
4.0%
항 9
 
2.4%
9
 
2.4%
해 8
 
2.1%
평 7
 
1.9%
정 6
 
1.6%
터 6
 
1.6%
주 6
 
1.6%
Other values (107) 263
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
88.5%
Dash Punctuation 28
 
7.5%
Space Separator 9
 
2.4%
Uppercase Letter 2
 
0.5%
Other Punctuation 2
 
0.5%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 16
 
4.8%
구 15
 
4.5%
항 9
 
2.7%
해 8
 
2.4%
평 7
 
2.1%
정 6
 
1.8%
터 6
 
1.8%
주 6
 
1.8%
수 6
 
1.8%
제 6
 
1.8%
Other values (102) 245
74.2%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
88.5%
Common 41
 
11.0%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 16
 
4.8%
구 15
 
4.5%
항 9
 
2.7%
해 8
 
2.4%
평 7
 
2.1%
정 6
 
1.8%
터 6
 
1.8%
주 6
 
1.8%
수 6
 
1.8%
제 6
 
1.8%
Other values (102) 245
74.2%
Common
ValueCountFrequency (%)
- 28
68.3%
9
 
22.0%
. 2
 
4.9%
1 2
 
4.9%
Latin
ValueCountFrequency (%)
X 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
88.5%
ASCII 43
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 28
65.1%
9
 
20.9%
X 2
 
4.7%
. 2
 
4.7%
1 2
 
4.7%
Hangul
ValueCountFrequency (%)
포 16
 
4.8%
구 15
 
4.5%
항 9
 
2.7%
해 8
 
2.4%
평 7
 
2.1%
정 6
 
1.8%
터 6
 
1.8%
주 6
 
1.8%
수 6
 
1.8%
제 6
 
1.8%
Other values (102) 245
74.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2022-03-18
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-03-18
2nd row2022-03-18
3rd row2022-03-18
4th row2022-03-18
5th row2022-03-18

Common Values

ValueCountFrequency (%)
2022-03-18 28
100.0%

Length

2023-12-13T07:33:21.463972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:33:21.600725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-03-18 28
100.0%

Interactions

2023-12-13T07:33:18.998802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:33:21.686485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
코스별코스명거리(km)소요시간정보시종점정보
코스별1.0001.0000.7960.9101.000
코스명1.0001.0001.0001.0001.000
거리(km)0.7961.0001.0000.8130.796
소요시간정보0.9101.0000.8131.0000.910
시종점정보1.0001.0000.7960.9101.000
2023-12-13T07:33:21.807129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거리(km)소요시간정보
거리(km)1.0000.593
소요시간정보0.5931.000

Missing values

2023-12-13T07:33:19.149792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:33:19.282904image/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

코스별코스명거리(km)소요시간정보시종점정보데이터기준일자
01코스시흥 - 광치기15.14~5시간시흥리정류장-광치기 해변2022-03-18
12코스광치기 - 온평15.64~5시간광치기 해변-온평포구2022-03-18
23코스온평 - 표선(A)20.96~7시간온평포구-표선해수욕장2022-03-18
33코스온평 - 표선(B)14.64~5시간온평포구-표선해수욕장2022-03-18
44코스표선 - 남원19.06~7시간표선해수욕장-남원포구2022-03-18
55코스남원 - 쇠소깍13.44~5시간남원포구-쇠소깍다리2022-03-18
66코스쇠소깍 - 제주올레여행자센터11.03~4시간쇠소깍다리-제주올레여행자센터2022-03-18
77코스제주올레여행자센터 - 월평17.65~6시간제주올레여행자센터-월평 아왜낭목쉼터2022-03-18
88코스월평 - 대평19.65~6시간월평 아왜낭목-대평포구2022-03-18
99코스대평 - 화순11.83~4시간대평포구-화순 금모래해수욕장2022-03-18
코스별코스명거리(km)소요시간정보시종점정보데이터기준일자
1817코스광령 - 제주원도심18.16~7시간광령1리사무소-간세라운지X관덕정분식2022-03-18
1918코스제주원도심 - 조천19.76~7시간간세라운지X관덕정분식-조천만세동산2022-03-18
2019코스조천 - 김녕19.46~7시간조천만세동산-김녕 서포구2022-03-18
2120코스김녕 - 하도17.65~6시간김녕 서포구-제주해녀박물관2022-03-18
2221코스하도 - 종달11.33~4시간제주 해녀박물관-종달바당2022-03-18
231-1코스우도11.34~5시간천진항.하우목동항-천진항.하우목동항2022-03-18
247-1코스서귀포버스터미널 - 제주올레여행자센터15.74~5시간서귀포버스터미널앞-제주올레여행자센터2022-03-18
2510-1코스가파도4.21~2시간상동포구-가파 치안센터2022-03-18
2614-1코스저지 - 서광9.33~4시간저지예술정보화마을-오설록녹차밭2022-03-18
2718-1코스추자도18.26~8시간상추자항-상추자항2022-03-18