Overview

Dataset statistics

Number of variables6
Number of observations127
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory49.0 B

Variable types

DateTime2
Categorical2
Text2

Dataset

Description부산교통공사_관내시설물촬영현황_20230731
Author부산교통공사
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15120670

Reproduction

Analysis started2023-12-10 16:53:23.120044
Analysis finished2023-12-10 16:53:23.588375
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

촬영시작일
Date

Distinct122
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-02-11 00:00:00
Maximum2023-07-14 00:00:00
2023-12-11T01:53:23.666197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:23.825812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

촬영종료일
Date

Distinct123
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-02-11 00:00:00
Maximum2023-07-15 00:00:00
2023-12-11T01:53:23.957140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:53:24.108619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

장르
Categorical

Distinct8
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
시사
31 
공익홍보
25 
드라마
21 
다큐멘터리
20 
영화
12 
Other values (3)
18 

Length

Max length5
Median length4
Mean length3.2047244
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row다큐멘터리
2nd row다큐멘터리
3rd row드라마
4th row드라마
5th row공익홍보

Common Values

ValueCountFrequency (%)
시사 31
24.4%
공익홍보 25
19.7%
드라마 21
16.5%
다큐멘터리 20
15.7%
영화 12
 
9.4%
상업광고 8
 
6.3%
예능 8
 
6.3%
뮤직비디오 2
 
1.6%

Length

2023-12-11T01:53:24.241441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:53:24.356848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시사 31
24.4%
공익홍보 25
19.7%
드라마 21
16.5%
다큐멘터리 20
15.7%
영화 12
 
9.4%
상업광고 8
 
6.3%
예능 8
 
6.3%
뮤직비디오 2
 
1.6%

촬영건명
Text

Distinct119
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:53:24.660466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length12.80315
Min length1

Characters and Unicode

Total characters1626
Distinct characters370
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)89.8%

Sample

1st row월간부산 - N잡러 청년
2nd row블록체인 혁명
3rd row미공개(방영전)
4th row미공개(방영전)
5th row비짓부산패스 홍보영상
ValueCountFrequency (%)
35
 
8.4%
부산 8
 
1.9%
홍보영상 8
 
1.9%
생방송 7
 
1.7%
투데이 6
 
1.4%
장애인 5
 
1.2%
도시철도 5
 
1.2%
월간부산 4
 
1.0%
광고 4
 
1.0%
미공개(방영전 4
 
1.0%
Other values (292) 330
79.3%
2023-12-11T01:53:25.143490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
 
17.8%
이 35
 
2.2%
부 35
 
2.2%
- 34
 
2.1%
산 34
 
2.1%
시 25
 
1.5%
도 24
 
1.5%
영 20
 
1.2%
상 20
 
1.2%
사 18
 
1.1%
Other values (360) 1092
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1192
73.3%
Space Separator 289
 
17.8%
Uppercase Letter 42
 
2.6%
Dash Punctuation 34
 
2.1%
Decimal Number 18
 
1.1%
Lowercase Letter 17
 
1.0%
Other Punctuation 16
 
1.0%
Open Punctuation 9
 
0.6%
Close Punctuation 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 35
 
2.9%
부 35
 
2.9%
산 34
 
2.9%
시 25
 
2.1%
도 24
 
2.0%
영 20
 
1.7%
상 20
 
1.7%
사 18
 
1.5%
의 17
 
1.4%
보 16
 
1.3%
Other values (313) 948
79.5%
Uppercase Letter
ValueCountFrequency (%)
S 11
26.2%
P 5
11.9%
T 4
 
9.5%
N 4
 
9.5%
K 3
 
7.1%
D 2
 
4.8%
V 2
 
4.8%
O 2
 
4.8%
B 1
 
2.4%
E 1
 
2.4%
Other values (7) 7
16.7%
Lowercase Letter
ValueCountFrequency (%)
n 4
23.5%
o 3
17.6%
t 2
11.8%
h 1
 
5.9%
e 1
 
5.9%
i 1
 
5.9%
a 1
 
5.9%
l 1
 
5.9%
u 1
 
5.9%
d 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 5
31.2%
' 4
25.0%
" 2
 
12.5%
? 2
 
12.5%
: 1
 
6.2%
& 1
 
6.2%
! 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 6
33.3%
0 4
22.2%
1 3
16.7%
9 2
 
11.1%
3 2
 
11.1%
7 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 8
88.9%
[ 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 8
88.9%
] 1
 
11.1%
Space Separator
ValueCountFrequency (%)
289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1191
73.2%
Common 375
 
23.1%
Latin 59
 
3.6%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 35
 
2.9%
부 35
 
2.9%
산 34
 
2.9%
시 25
 
2.1%
도 24
 
2.0%
영 20
 
1.7%
상 20
 
1.7%
사 18
 
1.5%
의 17
 
1.4%
보 16
 
1.3%
Other values (312) 947
79.5%
Latin
ValueCountFrequency (%)
S 11
18.6%
P 5
 
8.5%
T 4
 
6.8%
N 4
 
6.8%
n 4
 
6.8%
K 3
 
5.1%
o 3
 
5.1%
D 2
 
3.4%
V 2
 
3.4%
t 2
 
3.4%
Other values (18) 19
32.2%
Common
ValueCountFrequency (%)
289
77.1%
- 34
 
9.1%
( 8
 
2.1%
) 8
 
2.1%
2 6
 
1.6%
, 5
 
1.3%
' 4
 
1.1%
0 4
 
1.1%
1 3
 
0.8%
" 2
 
0.5%
Other values (9) 12
 
3.2%
Han
ValueCountFrequency (%)
記 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1191
73.2%
ASCII 434
 
26.7%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
66.6%
- 34
 
7.8%
S 11
 
2.5%
( 8
 
1.8%
) 8
 
1.8%
2 6
 
1.4%
, 5
 
1.2%
P 5
 
1.2%
T 4
 
0.9%
N 4
 
0.9%
Other values (37) 60
 
13.8%
Hangul
ValueCountFrequency (%)
이 35
 
2.9%
부 35
 
2.9%
산 34
 
2.9%
시 25
 
2.1%
도 24
 
2.0%
영 20
 
1.7%
상 20
 
1.7%
사 18
 
1.5%
의 17
 
1.4%
보 16
 
1.3%
Other values (312) 947
79.5%
CJK
ValueCountFrequency (%)
記 1
100.0%

촬영호선
Categorical

Distinct14
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
52 
2
27 
4
16 
3
12 
1,2
7 
Other values (9)
13 

Length

Max length7
Median length1
Mean length1.4094488
Min length1

Unique

Unique6 ?
Unique (%)4.7%

Sample

1st row1
2nd row1
3rd row2
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 52
40.9%
2 27
21.3%
4 16
 
12.6%
3 12
 
9.4%
1,2 7
 
5.5%
2,3 3
 
2.4%
1,2 2
 
1.6%
1,4 2
 
1.6%
1,2,3 1
 
0.8%
1,3 1
 
0.8%
Other values (4) 4
 
3.1%

Length

2023-12-11T01:53:25.324708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 52
40.9%
2 27
21.3%
4 16
 
12.6%
3 12
 
9.4%
1,2 10
 
7.9%
2,3 3
 
2.4%
1,4 2
 
1.6%
1,2,3 2
 
1.6%
1,3 1
 
0.8%
3,4 1
 
0.8%

세부장소
Text

Distinct103
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T01:53:25.566268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length16.370079
Min length2

Characters and Unicode

Total characters2079
Distinct characters136
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)74.8%

Sample

1st row서면역(대합실)
2nd row시청역(대합실, 승강장)
3rd row화명역(대합실, 승강장), 전동차(전세)
4th row종합운동장역(대합실, 승강장), 전동차(전세)
5th row중앙역(승강장, 대합실), 전동차(영업)
ValueCountFrequency (%)
전동차(영업 40
 
15.4%
승강장 22
 
8.5%
전동차(전세 15
 
5.8%
수안역(역사관 10
 
3.8%
대합실 10
 
3.8%
부산진역(측선 7
 
2.7%
부산역 4
 
1.5%
서면역(대합실 4
 
1.5%
부산역(대합실 4
 
1.5%
수안역(대합실 3
 
1.2%
Other values (114) 141
54.2%
2023-12-11T01:53:26.012356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 187
 
9.0%
) 187
 
9.0%
역 178
 
8.6%
, 143
 
6.9%
133
 
6.4%
대 93
 
4.5%
전 77
 
3.7%
실 72
 
3.5%
장 72
 
3.5%
합 69
 
3.3%
Other values (126) 868
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1425
68.5%
Open Punctuation 187
 
9.0%
Close Punctuation 187
 
9.0%
Other Punctuation 144
 
6.9%
Space Separator 133
 
6.4%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 178
 
12.5%
대 93
 
6.5%
전 77
 
5.4%
실 72
 
5.1%
장 72
 
5.1%
합 69
 
4.8%
강 68
 
4.8%
승 65
 
4.6%
차 65
 
4.6%
동 64
 
4.5%
Other values (119) 602
42.2%
Other Punctuation
ValueCountFrequency (%)
, 143
99.3%
· 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 187
100.0%
Close Punctuation
ValueCountFrequency (%)
) 187
100.0%
Space Separator
ValueCountFrequency (%)
133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1425
68.5%
Common 654
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 178
 
12.5%
대 93
 
6.5%
전 77
 
5.4%
실 72
 
5.1%
장 72
 
5.1%
합 69
 
4.8%
강 68
 
4.8%
승 65
 
4.6%
차 65
 
4.6%
동 64
 
4.5%
Other values (119) 602
42.2%
Common
ValueCountFrequency (%)
( 187
28.6%
) 187
28.6%
, 143
21.9%
133
20.3%
1 2
 
0.3%
· 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1425
68.5%
ASCII 653
31.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 187
28.6%
) 187
28.6%
, 143
21.9%
133
20.4%
1 2
 
0.3%
4 1
 
0.2%
Hangul
ValueCountFrequency (%)
역 178
 
12.5%
대 93
 
6.5%
전 77
 
5.4%
실 72
 
5.1%
장 72
 
5.1%
합 69
 
4.8%
강 68
 
4.8%
승 65
 
4.6%
차 65
 
4.6%
동 64
 
4.5%
Other values (119) 602
42.2%
None
ValueCountFrequency (%)
· 1
100.0%

Correlations

2023-12-11T01:53:26.159003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장르촬영호선
장르1.0000.000
촬영호선0.0001.000
2023-12-11T01:53:26.268436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장르촬영호선
장르1.0000.000
촬영호선0.0001.000
2023-12-11T01:53:26.373643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장르촬영호선
장르1.0000.000
촬영호선0.0001.000

Missing values

2023-12-11T01:53:23.448343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:53:23.549489image/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

촬영시작일촬영종료일장르촬영건명촬영호선세부장소
02023-01-192023-01-19다큐멘터리월간부산 - N잡러 청년1서면역(대합실)
12023-02-012023-02-01다큐멘터리블록체인 혁명1시청역(대합실, 승강장)
22023-02-152023-02-15드라마미공개(방영전)2화명역(대합실, 승강장), 전동차(전세)
32023-02-162023-02-17드라마미공개(방영전)3종합운동장역(대합실, 승강장), 전동차(전세)
42023-02-222023-02-22공익홍보비짓부산패스 홍보영상1중앙역(승강장, 대합실), 전동차(영업)
52023-03-022023-03-02시사굿모닝 투데이 - 비짓부산패스1부산역(대합실, 승강장)
62023-03-032023-03-03공익홍보2030부산세계박람회 유치 해외 홍보영상1전동차(영업)
72023-03-072023-03-07시사학내언론 보도1부산대역(대합실)
82023-03-122023-03-12시사생생투데이 사람과 세상 - 뚜벅뚜벅 부산건축투어4수안역(대합실, 역사관)
92023-05-032023-05-03다큐멘터리(불)편한 너 ? 사람을 대신하는 시대1부산역, 남포역, 서면역(대합실)
촬영시작일촬영종료일장르촬영건명촬영호선세부장소
1172018-07-012018-12-31다큐멘터리언더그라운드1,2,3,4전역
1182018-07-212018-07-21예능슈퍼맨이 돌아왔다 - 고부자의 부산여행1,2해운대역,서면역,자갈치역(대합실, 승강장)
1192018-07-242018-07-24드라마제3의 매력1서면역(대합실,지하철경찰대)
1202018-08-292018-08-29다큐멘터리다큐S프라임 - 열차 편1노포역(승강장),노포차량기지(유치선,검수고),전동차(영업)
1212018-09-052018-09-05영화축복의 집1전동차(영업)
1222018-09-072018-09-07공익홍보건강한 부산 캠페인2경성대부경대역(건강기부계단)
1232018-09-132018-09-13공익홍보제27회 부산자갈치축제 홍보영상1자갈치역(대합실,승강장), 전동차(영업)
1242018-10-312018-10-31공익홍보노인과 함께하는 도시철도 이용에티켓3대저역(대합실,승강장), 전동차(영업)
1252018-11-262018-11-26예능두발라이프2해운대역,대연역(승강장), 전동차(영업)
1262018-11-272018-11-27예능슈퍼맨이 돌아왔다 - 건나블리1시청역(대합실,승강장), 범어사역(승강장), 노포역(역무실), 전동차(영업)