Overview

Dataset statistics

Number of variables3
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1020.0 B
Average record size in memory27.6 B

Variable types

Categorical2
Text1

Dataset

Description경상남도 김해시가 제공하는 광역교통정보시스템 메뉴 정보입니다. 광역교통정보시스템을 이용한 스마트재난예경보시스템 개방가능 메뉴입니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15063899

Alerts

운영부서 has constant value ""Constant
정보시스템명 has constant value ""Constant
메뉴정보 has unique valuesUnique

Reproduction

Analysis started2024-04-17 17:45:57.539510
Analysis finished2024-04-17 17:45:57.705048
Duration0.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운영부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
대중교통과
37 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중교통과 37
100.0%

Length

2024-04-18T02:45:57.755504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:45:57.827287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중교통과 37
100.0%

정보시스템명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
광역교통정보시스템
37 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광역교통정보시스템 37
100.0%

Length

2024-04-18T02:45:57.902190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T02:45:57.973954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광역교통정보시스템 37
100.0%

메뉴정보
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-04-18T02:45:58.120148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.5405405
Min length4

Characters and Unicode

Total characters316
Distinct characters88
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row연계소통정보 부산청
2nd row기상 예보 구역
3rd row전국 기상 상황 30분
4th row주간 예보 개황
5th row주간 예보 육상 예보
ValueCountFrequency (%)
vms 12
 
11.2%
예보 9
 
8.4%
글꼴 5
 
4.7%
주간 5
 
4.7%
정보 5
 
4.7%
표출 4
 
3.7%
상태 3
 
2.8%
시설물 3
 
2.8%
육상 3
 
2.8%
장애 2
 
1.9%
Other values (48) 56
52.3%
2024-04-18T02:45:58.385904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
22.2%
보 18
 
5.7%
상 12
 
3.8%
V 12
 
3.8%
M 12
 
3.8%
S 12
 
3.8%
정 10
 
3.2%
예 9
 
2.8%
시 7
 
2.2%
글 6
 
1.9%
Other values (78) 148
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 208
65.8%
Space Separator 70
 
22.2%
Uppercase Letter 36
 
11.4%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 18
 
8.7%
상 12
 
5.8%
정 10
 
4.8%
예 9
 
4.3%
시 7
 
3.4%
글 6
 
2.9%
통 5
 
2.4%
황 5
 
2.4%
꼴 5
 
2.4%
태 5
 
2.4%
Other values (72) 126
60.6%
Uppercase Letter
ValueCountFrequency (%)
V 12
33.3%
M 12
33.3%
S 12
33.3%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 208
65.8%
Common 72
 
22.8%
Latin 36
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 18
 
8.7%
상 12
 
5.8%
정 10
 
4.8%
예 9
 
4.3%
시 7
 
3.4%
글 6
 
2.9%
통 5
 
2.4%
황 5
 
2.4%
꼴 5
 
2.4%
태 5
 
2.4%
Other values (72) 126
60.6%
Common
ValueCountFrequency (%)
70
97.2%
3 1
 
1.4%
0 1
 
1.4%
Latin
ValueCountFrequency (%)
V 12
33.3%
M 12
33.3%
S 12
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 208
65.8%
ASCII 108
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
64.8%
V 12
 
11.1%
M 12
 
11.1%
S 12
 
11.1%
3 1
 
0.9%
0 1
 
0.9%
Hangul
ValueCountFrequency (%)
보 18
 
8.7%
상 12
 
5.8%
정 10
 
4.8%
예 9
 
4.3%
시 7
 
3.4%
글 6
 
2.9%
통 5
 
2.4%
황 5
 
2.4%
꼴 5
 
2.4%
태 5
 
2.4%
Other values (72) 126
60.6%

Missing values

2024-04-18T02:45:57.626461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T02:45:57.681171image/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

운영부서정보시스템명메뉴정보
0대중교통과광역교통정보시스템연계소통정보 부산청
1대중교통과광역교통정보시스템기상 예보 구역
2대중교통과광역교통정보시스템전국 기상 상황 30분
3대중교통과광역교통정보시스템주간 예보 개황
4대중교통과광역교통정보시스템주간 예보 육상 예보
5대중교통과광역교통정보시스템주간 예보 육상
6대중교통과광역교통정보시스템주간 예보 도시 온도
7대중교통과광역교통정보시스템주간 예보 도시
8대중교통과광역교통정보시스템VMS 교통 정보 표출 일정
9대중교통과광역교통정보시스템VMS 상태 현재
운영부서정보시스템명메뉴정보
27대중교통과광역교통정보시스템뉴스 정보
28대중교통과광역교통정보시스템돌발상황 발생
29대중교통과광역교통정보시스템돌발상황 월 통계
30대중교통과광역교통정보시스템시설물 정보
31대중교통과광역교통정보시스템시설물 장애 조치 내역
32대중교통과광역교통정보시스템시설물 장애 내역
33대중교통과광역교통정보시스템자막 설정 정보
34대중교통과광역교통정보시스템연계 기관
35대중교통과광역교통정보시스템소통 등급 분류
36대중교통과광역교통정보시스템버스 정류소 평균