Overview

Dataset statistics

Number of variables7
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory62.3 B

Variable types

Unsupported2
Text5

Dataset

Description신나는예술버스하반기운행정보
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201926

Alerts

Unnamed: 1 has unique valuesUnique
Unnamed: 3 has unique valuesUnique
Unnamed: 4 has unique valuesUnique
신나는 예술버스 하반기 일정 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 02:01:42.428720
Analysis finished2024-03-14 02:01:42.801485
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신나는 예술버스 하반기 일정
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size300.0 B

Unnamed: 1
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:01:42.903543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6666667
Min length3

Characters and Unicode

Total characters119
Distinct characters40
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row시.군.읍면동
2nd row완주군용진면
3rd row무주군번암면
4th row장수군천천면
5th row김제시
ValueCountFrequency (%)
시.군.읍면동 1
 
4.8%
군산시성산면 1
 
4.8%
부안군진서면 1
 
4.8%
무주군무풍면 1
 
4.8%
부안군위도면 1
 
4.8%
순창군복흥면 1
 
4.8%
진안군진안읍 1
 
4.8%
부안군행안면 1
 
4.8%
익산시금마면 1
 
4.8%
장수군장계면 1
 
4.8%
Other values (11) 11
52.4%
2024-03-14T11:01:43.199741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 17
 
14.3%
면 14
 
11.8%
안 8
 
6.7%
주 7
 
5.9%
시 6
 
5.0%
무 6
 
5.0%
진 5
 
4.2%
읍 4
 
3.4%
산 4
 
3.4%
부 4
 
3.4%
Other values (30) 44
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
98.3%
Other Punctuation 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 17
14.5%
면 14
 
12.0%
안 8
 
6.8%
주 7
 
6.0%
시 6
 
5.1%
무 6
 
5.1%
진 5
 
4.3%
읍 4
 
3.4%
산 4
 
3.4%
부 4
 
3.4%
Other values (29) 42
35.9%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
98.3%
Common 2
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 17
14.5%
면 14
 
12.0%
안 8
 
6.8%
주 7
 
6.0%
시 6
 
5.1%
무 6
 
5.1%
진 5
 
4.3%
읍 4
 
3.4%
산 4
 
3.4%
부 4
 
3.4%
Other values (29) 42
35.9%
Common
ValueCountFrequency (%)
. 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
98.3%
ASCII 2
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 17
14.5%
면 14
 
12.0%
안 8
 
6.8%
주 7
 
6.0%
시 6
 
5.1%
무 6
 
5.1%
진 5
 
4.3%
읍 4
 
3.4%
산 4
 
3.4%
부 4
 
3.4%
Other values (29) 42
35.9%
ASCII
ValueCountFrequency (%)
. 2
100.0%

Unnamed: 2
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:01:43.367653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.190476
Min length4

Characters and Unicode

Total characters445
Distinct characters26
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row공연일시
2nd row10. 1(수) 13:00 ~ 14:20
3rd row10. 1(수) 10:00 ~ 11:20
4th row10. 2(목) 09:00 ~ 10:20
5th row10. 2(목) 19:00 ~ 20:20
ValueCountFrequency (%)
21
21.9%
10 19
19.8%
14:00 6
 
6.2%
15:20 5
 
5.2%
14:20 4
 
4.2%
13:00 3
 
3.1%
11(토 2
 
2.1%
1(수 2
 
2.1%
25(토 2
 
2.1%
11:20 2
 
2.1%
Other values (28) 30
31.2%
2024-03-14T11:01:43.668094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83
18.7%
75
16.9%
1 72
16.2%
: 40
9.0%
2 25
 
5.6%
) 20
 
4.5%
~ 20
 
4.5%
( 20
 
4.5%
. 20
 
4.5%
4 13
 
2.9%
Other values (16) 57
12.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 226
50.8%
Space Separator 75
 
16.9%
Other Punctuation 60
 
13.5%
Other Letter 24
 
5.4%
Close Punctuation 20
 
4.5%
Math Symbol 20
 
4.5%
Open Punctuation 20
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83
36.7%
1 72
31.9%
2 25
 
11.1%
4 13
 
5.8%
5 11
 
4.9%
3 10
 
4.4%
9 4
 
1.8%
7 3
 
1.3%
6 3
 
1.3%
8 2
 
0.9%
Other Letter
ValueCountFrequency (%)
토 5
20.8%
금 4
16.7%
수 4
16.7%
목 3
12.5%
화 2
 
8.3%
일 2
 
8.3%
시 1
 
4.2%
월 1
 
4.2%
연 1
 
4.2%
공 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
: 40
66.7%
. 20
33.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 421
94.6%
Hangul 24
 
5.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83
19.7%
75
17.8%
1 72
17.1%
: 40
9.5%
2 25
 
5.9%
) 20
 
4.8%
~ 20
 
4.8%
( 20
 
4.8%
. 20
 
4.8%
4 13
 
3.1%
Other values (6) 33
 
7.8%
Hangul
ValueCountFrequency (%)
토 5
20.8%
금 4
16.7%
수 4
16.7%
목 3
12.5%
화 2
 
8.3%
일 2
 
8.3%
시 1
 
4.2%
월 1
 
4.2%
연 1
 
4.2%
공 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 421
94.6%
Hangul 24
 
5.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83
19.7%
75
17.8%
1 72
17.1%
: 40
9.5%
2 25
 
5.9%
) 20
 
4.8%
~ 20
 
4.8%
( 20
 
4.8%
. 20
 
4.8%
4 13
 
3.1%
Other values (6) 33
 
7.8%
Hangul
ValueCountFrequency (%)
토 5
20.8%
금 4
16.7%
수 4
16.7%
목 3
12.5%
화 2
 
8.3%
일 2
 
8.3%
시 1
 
4.2%
월 1
 
4.2%
연 1
 
4.2%
공 1
 
4.2%

Unnamed: 3
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:01:43.829087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length9.9047619
Min length3

Characters and Unicode

Total characters208
Distinct characters77
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row행사명
2nd row용진면민의날 행사
3rd row슬로장터
4th row천천면노인의날 행사
5th row전통시장과 함께하는 화합한마당(지평선)
ValueCountFrequency (%)
행사 12
26.1%
노인의날 3
 
6.5%
제 2
 
4.3%
한마당 2
 
4.3%
제20회 1
 
2.2%
함께하는어르신 1
 
2.2%
장계면 1
 
2.2%
금마면민의날 1
 
2.2%
행안면민의날 1
 
2.2%
행사명 1
 
2.2%
Other values (21) 21
45.7%
2024-03-14T11:01:44.086531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
12.0%
행 15
 
7.2%
사 15
 
7.2%
의 12
 
5.8%
날 12
 
5.8%
면 9
 
4.3%
민 7
 
3.4%
제 6
 
2.9%
마 5
 
2.4%
인 5
 
2.4%
Other values (67) 97
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
83.7%
Space Separator 25
 
12.0%
Decimal Number 6
 
2.9%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
행 15
 
8.6%
사 15
 
8.6%
의 12
 
6.9%
날 12
 
6.9%
면 9
 
5.2%
민 7
 
4.0%
제 6
 
3.4%
마 5
 
2.9%
인 5
 
2.9%
장 4
 
2.3%
Other values (58) 84
48.3%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
2 1
16.7%
0 1
16.7%
9 1
16.7%
8 1
16.7%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
83.7%
Common 34
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
행 15
 
8.6%
사 15
 
8.6%
의 12
 
6.9%
날 12
 
6.9%
면 9
 
5.2%
민 7
 
4.0%
제 6
 
3.4%
마 5
 
2.9%
인 5
 
2.9%
장 4
 
2.3%
Other values (58) 84
48.3%
Common
ValueCountFrequency (%)
25
73.5%
1 2
 
5.9%
2 1
 
2.9%
0 1
 
2.9%
( 1
 
2.9%
9 1
 
2.9%
) 1
 
2.9%
, 1
 
2.9%
8 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
83.7%
ASCII 34
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
73.5%
1 2
 
5.9%
2 1
 
2.9%
0 1
 
2.9%
( 1
 
2.9%
9 1
 
2.9%
) 1
 
2.9%
, 1
 
2.9%
8 1
 
2.9%
Hangul
ValueCountFrequency (%)
행 15
 
8.6%
사 15
 
8.6%
의 12
 
6.9%
날 12
 
6.9%
면 9
 
5.2%
민 7
 
4.0%
제 6
 
3.4%
마 5
 
2.9%
인 5
 
2.9%
장 4
 
2.3%
Other values (58) 84
48.3%

Unnamed: 4
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:01:44.270087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.7619048
Min length4

Characters and Unicode

Total characters163
Distinct characters75
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row공연장소
2nd row용진중학교
3rd row노단천변
4th row천천노인복지회관
5th row전통시장 광장
ValueCountFrequency (%)
운동장 2
 
5.6%
파크 2
 
5.6%
공연장소 1
 
2.8%
위도중고등학교 1
 
2.8%
부안스포츠 1
 
2.8%
진안초등학교 1
 
2.8%
복흥면 1
 
2.8%
정산초등학교 1
 
2.8%
강당 1
 
2.8%
용진중학교 1
 
2.8%
Other values (24) 24
66.7%
2024-03-14T11:01:44.544150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
9.2%
장 8
 
4.9%
교 6
 
3.7%
학 6
 
3.7%
체 5
 
3.1%
육 5
 
3.1%
천 4
 
2.5%
공 4
 
2.5%
전 4
 
2.5%
관 3
 
1.8%
Other values (65) 103
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
90.8%
Space Separator 15
 
9.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 8
 
5.4%
교 6
 
4.1%
학 6
 
4.1%
체 5
 
3.4%
육 5
 
3.4%
천 4
 
2.7%
공 4
 
2.7%
전 4
 
2.7%
관 3
 
2.0%
원 3
 
2.0%
Other values (64) 100
67.6%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148
90.8%
Common 15
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 8
 
5.4%
교 6
 
4.1%
학 6
 
4.1%
체 5
 
3.4%
육 5
 
3.4%
천 4
 
2.7%
공 4
 
2.7%
전 4
 
2.7%
관 3
 
2.0%
원 3
 
2.0%
Other values (64) 100
67.6%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
90.8%
ASCII 15
 
9.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
100.0%
Hangul
ValueCountFrequency (%)
장 8
 
5.4%
교 6
 
4.1%
학 6
 
4.1%
체 5
 
3.4%
육 5
 
3.4%
천 4
 
2.7%
공 4
 
2.7%
전 4
 
2.7%
관 3
 
2.0%
원 3
 
2.0%
Other values (64) 100
67.6%

Unnamed: 5
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size300.0 B

Unnamed: 6
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-03-14T11:01:44.681510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.52381
Min length10

Characters and Unicode

Total characters263
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row공연프로그램번호(4개선정)
2nd row3, 14, 25, 26
3rd row6, 9, 10, 12
4th row5, 14, 15, 24
5th row1, 6, 19,25
ValueCountFrequency (%)
25 10
12.7%
14 9
11.4%
4 6
 
7.6%
20 6
 
7.6%
3 5
 
6.3%
1 5
 
6.3%
24 5
 
6.3%
12 4
 
5.1%
5 4
 
5.1%
9 3
 
3.8%
Other values (13) 22
27.8%
2024-03-14T11:01:44.977651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 60
22.8%
58
22.1%
2 38
14.4%
1 26
9.9%
4 21
 
8.0%
5 17
 
6.5%
6 8
 
3.0%
0 7
 
2.7%
3 6
 
2.3%
9 5
 
1.9%
Other values (15) 17
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 132
50.2%
Other Punctuation 60
22.8%
Space Separator 58
22.1%
Other Letter 11
 
4.2%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 1
9.1%
정 1
9.1%
선 1
9.1%
램 1
9.1%
호 1
9.1%
번 1
9.1%
그 1
9.1%
로 1
9.1%
프 1
9.1%
연 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 38
28.8%
1 26
19.7%
4 21
15.9%
5 17
12.9%
6 8
 
6.1%
0 7
 
5.3%
3 6
 
4.5%
9 5
 
3.8%
8 3
 
2.3%
7 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
95.8%
Hangul 11
 
4.2%

Most frequent character per script

Common
ValueCountFrequency (%)
, 60
23.8%
58
23.0%
2 38
15.1%
1 26
10.3%
4 21
 
8.3%
5 17
 
6.7%
6 8
 
3.2%
0 7
 
2.8%
3 6
 
2.4%
9 5
 
2.0%
Other values (4) 6
 
2.4%
Hangul
ValueCountFrequency (%)
개 1
9.1%
정 1
9.1%
선 1
9.1%
램 1
9.1%
호 1
9.1%
번 1
9.1%
그 1
9.1%
로 1
9.1%
프 1
9.1%
연 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
95.8%
Hangul 11
 
4.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 60
23.8%
58
23.0%
2 38
15.1%
1 26
10.3%
4 21
 
8.3%
5 17
 
6.7%
6 8
 
3.2%
0 7
 
2.8%
3 6
 
2.4%
9 5
 
2.0%
Other values (4) 6
 
2.4%
Hangul
ValueCountFrequency (%)
개 1
9.1%
정 1
9.1%
선 1
9.1%
램 1
9.1%
호 1
9.1%
번 1
9.1%
그 1
9.1%
로 1
9.1%
프 1
9.1%
연 1
9.1%

Correlations

2024-03-14T11:01:45.055844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 6
Unnamed: 11.0001.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.0000.982
Unnamed: 31.0001.0001.0001.0001.000
Unnamed: 41.0001.0001.0001.0001.000
Unnamed: 61.0000.9821.0001.0001.000

Missing values

2024-03-14T11:01:42.677337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:01:42.766818image/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

신나는 예술버스 하반기 일정Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6
0연번시.군.읍면동공연일시행사명공연장소관람예상인원(명)공연프로그램번호(4개선정)
134완주군용진면10. 1(수) 13:00 ~ 14:20용진면민의날 행사용진중학교10003, 14, 25, 26
235무주군번암면10. 1(수) 10:00 ~ 11:20슬로장터노단천변3006, 9, 10, 12
336장수군천천면10. 2(목) 09:00 ~ 10:20천천면노인의날 행사천천노인복지회관5005, 14, 15, 24
437김제시10. 2(목) 19:00 ~ 20:20전통시장과 함께하는 화합한마당(지평선)전통시장 광장10001, 6, 19,25
538진안군성수면10 . 3(금)10:00 ~ 11:20성수면민의날 행사성수면외궁초교10004, 14, 20, 25
639무주군설천면10. 3(금)13:30 ~ 14:50설천면민의날 행사설천면 생활체육공원300012, 14, 24, 25
740남원시금동10. 4(토)15:00 ~ 16:20팔도장터 관광,문화행사공설시장5003, 14, 16, 20
841전주시완산10. 5(일)13:00 ~ 14:20독서문화 한마당전주 동물원10003, 5, 22, 26
942고창군고창읍10. 6(월) 10:30 ~ 11:50제 18회 노인의날 행사고창 문화의전당6001, 3, 5, 6
신나는 예술버스 하반기 일정Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6
1144군산시성산면10. 8(수)11:00 ~ 12:20기업체와 함께하는어르신 한마당군장전문대학 체육관3008, 19, 22,25
1245장수군장계면10. 8(수)12:40 ~ 14:00장계면 노인의날 행사장계국민체육센터5004, 8, 24, 25
1346익산시금마면10. 9(금) 14:00 ~ 15:20금마면민의날 행사익산중학교 운동장10004, 14, 22, 25
1447부안군행안면10. 9(금) 14:00 ~ 15:20행안면민의날 행사부안스포츠 파크100014, 16, 24, 25
1548진안군진안읍10. 11(토) 16:00 ~ 17:20제20회 마이문화제진안초등학교 운동장3009, 12, 16, 25
1649순창군복흥면10. 11(토) 12:00 ~ 13:20복흥면민의날 행사복흥면 정산초등학교10001, 8, 13, 22
1750부안군위도면10. 17(목) 14:00 ~ 15:20위도면민의날 행사위도중고등학교 강당8004, 20, 25, 27
1851무주군무풍면10. 25(토) 13:00 ~ 14:20무풍사과축제무풍체육공원 특설무대10001, 3, 9, 12
1952부안군진서면10. 25(토) 14:00 ~ 15:20곰소젖갈 수산물축제곰소 다용도 부지10004, 20, 24, 25
2053부안군11. 11(화) 14:00 ~ 15:20농업인의날 행사부안 스포츠 파크10004, 14, 20, 25