Overview

Dataset statistics

Number of variables4
Number of observations183
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory32.7 B

Variable types

Categorical3
DateTime1

Dataset

Description전라남도 광양시의 시외버스운행시간표및요금에 대한 데이터(출발지, 도착지, 운행시간, 요금 등)를 전 국민에게 무료로 공유 ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-15041760?url=https%3A//www.gwangyang.go.kr/index.gwangyang%3FmenuCd%3DDOM_000000105003002006&version=d7)](https://www.data.go.kr/data/15041760/fileData.do)
URLhttps://www.data.go.kr/data/15041760/fileData.do

Alerts

도착지 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 도착지High correlation

Reproduction

Analysis started2023-12-12 03:11:07.483863
Analysis finished2023-12-12 03:11:07.893173
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도착지
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
서울(강남)
35 
광주(경유지확인필요)
32 
순천
27 
부산(사상)
16 
여수
11 
Other values (19)
62 

Length

Max length27
Median length12
Mean length6.147541
Min length2

Unique

Unique7 ?
Unique (%)3.8%

Sample

1st row동서울
2nd row동서울
3rd row서울(강남)
4th row서울(강남)
5th row서울(강남)

Common Values

ValueCountFrequency (%)
서울(강남) 35
19.1%
광주(경유지확인필요) 32
17.5%
순천 27
14.8%
부산(사상) 16
8.7%
여수 11
 
6.0%
서대구 11
 
6.0%
완도(해남) 8
 
4.4%
목포(삼호,남악,진도,장흥,강진)경유지 확인 필요 7
 
3.8%
광영 6
 
3.3%
인천,안산 5
 
2.7%
Other values (14) 25
13.7%

Length

2023-12-12T12:11:08.053837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울(강남 35
17.8%
광주(경유지확인필요 32
16.2%
순천 27
13.7%
부산(사상 16
8.1%
여수 11
 
5.6%
서대구 11
 
5.6%
완도(해남 8
 
4.1%
목포(삼호,남악,진도,장흥,강진)경유지 7
 
3.6%
확인 7
 
3.6%
필요 7
 
3.6%
Other values (16) 36
18.3%

출발지
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
중마(동광양)
102 
광양(광양읍)
81 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중마(동광양)
2nd row광양(광양읍)
3rd row중마(동광양)
4th row중마(동광양)
5th row중마(동광양)

Common Values

ValueCountFrequency (%)
중마(동광양) 102
55.7%
광양(광양읍) 81
44.3%

Length

2023-12-12T12:11:08.230631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:11:08.359480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중마(동광양 102
55.7%
광양(광양읍 81
44.3%

시간
Date

Distinct97
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-12-12 06:00:00
Maximum2023-12-12 21:50:00
2023-12-12T12:11:08.504121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:08.695815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
일반
90 
우등
69 
프리미엄
24 

Length

Max length4
Median length2
Mean length2.2622951
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 90
49.2%
우등 69
37.7%
프리미엄 24
 
13.1%

Length

2023-12-12T12:11:08.892238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:11:09.047513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 90
49.2%
우등 69
37.7%
프리미엄 24
 
13.1%

Correlations

2023-12-12T12:11:09.156422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도착지출발지시간구분
도착지1.0000.3500.0000.830
출발지0.3501.0000.6650.033
시간0.0000.6651.0000.680
구분0.8300.0330.6801.000
2023-12-12T12:11:09.272020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도착지구분출발지
도착지1.0000.5450.259
구분0.5451.0000.055
출발지0.2590.0551.000
2023-12-12T12:11:09.386886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도착지출발지구분
도착지1.0000.2590.545
출발지0.2591.0000.055
구분0.5450.0551.000

Missing values

2023-12-12T12:11:07.724096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:11:07.851414image/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

도착지출발지시간구분
0동서울중마(동광양)16:30우등
1동서울광양(광양읍)16:50우등
2서울(강남)중마(동광양)06:30우등
3서울(강남)중마(동광양)07:00우등
4서울(강남)중마(동광양)09:50우등
5서울(강남)중마(동광양)11:20우등
6서울(강남)중마(동광양)13:00우등
7서울(강남)중마(동광양)14:10우등
8서울(강남)중마(동광양)15:20우등
9서울(강남)중마(동광양)16:00우등
도착지출발지시간구분
173완도(해남)중마(동광양)18:35일반
174완도(해남)광양(광양읍)09:25일반
175완도(해남)광양(광양읍)15:50일반
176완도(해남)광양(광양읍)18:55일반
177광영중마(동광양)09:40일반
178광영중마(동광양)14:20일반
179광영중마(동광양)17:30일반
180광영광양(광양읍)09:20일반
181광영광양(광양읍)14:00일반
182광영광양(광양읍)17:10일반