Overview

Dataset statistics

Number of variables2
Number of observations213
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory16.6 B

Variable types

DateTime1
Text1

Dataset

Description한국철도공사 표준방송시스템(KSBS)의 공지사항 내역으로 해당 시스템에 관한 공지사항일시와 제목을 구분한 데이터 내역입니다.
URLhttps://www.data.go.kr/data/15121127/fileData.do

Alerts

공지사항등록일시 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:09:27.578433
Analysis finished2023-12-12 19:09:27.933767
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2015-09-23 11:01:58
Maximum2023-08-10 08:23:00
2023-12-13T04:09:28.045929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:09:28.235864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct128
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T04:09:28.579274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length39
Mean length25.159624
Min length9

Characters and Unicode

Total characters5359
Distinct characters253
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)50.7%

Sample

1st row프로그램 배포합니다 버전 0.0.0.69 입니다.
2nd row프로그램 배포합니다 버전 0.0.0.69 입니다.
3rd rowKSBS프로그램 다시시작하세요
4th rowKSBS프로그램 0.0.0.70입니다.
5th row임시열차운행따른 열차종별확인요망
ValueCountFrequency (%)
재수신 72
 
6.2%
요청 71
 
6.1%
알림 66
 
5.7%
39
 
3.4%
복합열차]서버운행정보 38
 
3.3%
음원 36
 
3.1%
일시 27
 
2.3%
중지 27
 
2.3%
ksbs 26
 
2.2%
위한 25
 
2.2%
Other values (265) 734
63.2%
2023-12-13T04:09:29.129988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
951
 
17.7%
S 175
 
3.3%
101
 
1.9%
0 99
 
1.8%
93
 
1.7%
93
 
1.7%
92
 
1.7%
91
 
1.7%
90
 
1.7%
K 90
 
1.7%
Other values (243) 3484
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3359
62.7%
Space Separator 951
 
17.7%
Uppercase Letter 430
 
8.0%
Decimal Number 197
 
3.7%
Other Punctuation 116
 
2.2%
Open Punctuation 104
 
1.9%
Close Punctuation 104
 
1.9%
Other Symbol 69
 
1.3%
Math Symbol 12
 
0.2%
Dash Punctuation 10
 
0.2%
Other values (2) 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
101
 
3.0%
93
 
2.8%
93
 
2.8%
92
 
2.7%
91
 
2.7%
90
 
2.7%
85
 
2.5%
85
 
2.5%
84
 
2.5%
83
 
2.5%
Other values (203) 2462
73.3%
Uppercase Letter
ValueCountFrequency (%)
S 175
40.7%
K 90
20.9%
B 78
18.1%
T 29
 
6.7%
D 19
 
4.4%
I 19
 
4.4%
X 10
 
2.3%
O 4
 
0.9%
N 2
 
0.5%
P 2
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 99
50.3%
1 35
 
17.8%
4 11
 
5.6%
5 11
 
5.6%
9 9
 
4.6%
2 9
 
4.6%
8 9
 
4.6%
7 6
 
3.0%
6 4
 
2.0%
3 4
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 69
59.5%
, 19
 
16.4%
! 8
 
6.9%
/ 8
 
6.9%
: 6
 
5.2%
" 4
 
3.4%
* 2
 
1.7%
Math Symbol
ValueCountFrequency (%)
~ 10
83.3%
< 1
 
8.3%
> 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
[ 83
79.8%
( 21
 
20.2%
Close Punctuation
ValueCountFrequency (%)
] 83
79.8%
) 21
 
20.2%
Space Separator
ValueCountFrequency (%)
951
100.0%
Other Symbol
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3359
62.7%
Common 1570
29.3%
Latin 430
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
101
 
3.0%
93
 
2.8%
93
 
2.8%
92
 
2.7%
91
 
2.7%
90
 
2.7%
85
 
2.5%
85
 
2.5%
84
 
2.5%
83
 
2.5%
Other values (203) 2462
73.3%
Common
ValueCountFrequency (%)
951
60.6%
0 99
 
6.3%
[ 83
 
5.3%
] 83
 
5.3%
69
 
4.4%
. 69
 
4.4%
1 35
 
2.2%
( 21
 
1.3%
) 21
 
1.3%
, 19
 
1.2%
Other values (19) 120
 
7.6%
Latin
ValueCountFrequency (%)
S 175
40.7%
K 90
20.9%
B 78
18.1%
T 29
 
6.7%
D 19
 
4.4%
I 19
 
4.4%
X 10
 
2.3%
O 4
 
0.9%
N 2
 
0.5%
P 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3359
62.7%
ASCII 1931
36.0%
Geometric Shapes 69
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
951
49.2%
S 175
 
9.1%
0 99
 
5.1%
K 90
 
4.7%
[ 83
 
4.3%
] 83
 
4.3%
B 78
 
4.0%
. 69
 
3.6%
1 35
 
1.8%
T 29
 
1.5%
Other values (29) 239
 
12.4%
Hangul
ValueCountFrequency (%)
101
 
3.0%
93
 
2.8%
93
 
2.8%
92
 
2.7%
91
 
2.7%
90
 
2.7%
85
 
2.5%
85
 
2.5%
84
 
2.5%
83
 
2.5%
Other values (203) 2462
73.3%
Geometric Shapes
ValueCountFrequency (%)
69
100.0%

Missing values

2023-12-13T04:09:27.793384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:09:27.887349image/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

공지사항등록일시공지사항제목
02015-09-23 11:01:58프로그램 배포합니다 버전 0.0.0.69 입니다.
12015-09-23 11:04:31프로그램 배포합니다 버전 0.0.0.69 입니다.
22015-09-24 17:55:45KSBS프로그램 다시시작하세요
32015-09-25 09:27:59KSBS프로그램 0.0.0.70입니다.
42015-09-25 15:57:16임시열차운행따른 열차종별확인요망
52015-10-01 14:32:10KSBS 0.0.0.73 버전 배포
62015-10-01 14:37:48KSBS 0.0.0.74 버전
72015-10-02 17:56:25KSBS 0.0.0.75 버전이 배포 되었습니다.
82015-10-05 20:31:41KSBS 최신 메뉴얼을 게시판에 올렸습니다
92015-10-08 17:15:33KSBS 0.0.0.80 버전이 배포 되었습니다.
공지사항등록일시공지사항제목
2032022-11-10 14:55:16(긴급) 천안아산역 인근 KTX 차량 고장 관련 홍보방송 등록 알림
2042022-11-23 17:44:57노조태업 및 KN파업 관련 홍보방송 등록 알림
2052022-12-13 16:33:04□KSBS 시스템 점검을 위한 일시 중지 알림□
2062022-12-14 08:51:21(긴급) 대전조차장역 인근 레일절손 관련 홍보방송 등록 알림
2072022-12-16 13:45:34설 명절 승차권 예매 관련 홍보방송 등록 알림
2082023-01-27 16:53:40실내 마스크 자율 착용에 따른 홍보방송 변경 알림
2092023-02-23 15:56:41열차운행 조정 홍보방송 등록 알림
2102023-07-19 08:25:57운행구간변경 열차 스케줄 안내 알림
2112023-08-02 09:12:32폭염 관련 안내방송 공지드립니다.
2122023-08-10 08:23:00운행구간 변경 열차 스케줄 안내 알림