Overview

Dataset statistics

Number of variables6
Number of observations34
Missing cells5
Missing cells (%)2.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory51.9 B

Variable types

Unsupported2
Text4

Dataset

Description신나는예술버스하반기일정
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202719

Alerts

신나는 예술버스 하반기 일정 has 1 (2.9%) missing valuesMissing
Unnamed: 1 has 1 (2.9%) missing valuesMissing
Unnamed: 2 has 1 (2.9%) missing valuesMissing
Unnamed: 3 has 1 (2.9%) missing valuesMissing
Unnamed: 4 has 1 (2.9%) missing valuesMissing
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 01:51:20.413810
Analysis finished2024-03-14 01:51:20.902750
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신나는 예술버스 하반기 일정
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)2.9%
Memory size404.0 B

Unnamed: 1
Text

MISSING 

Distinct32
Distinct (%)97.0%
Missing1
Missing (%)2.9%
Memory size404.0 B
2024-03-14T10:51:21.027400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters231
Distinct characters64
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row시군, 읍면동
2nd row군산시 해신동
3rd row장수군 장계면
4th row익산시 팔봉동
5th row남원시 산동면
ValueCountFrequency (%)
장수군 4
 
6.1%
익산시 3
 
4.5%
진안군 3
 
4.5%
남원시 3
 
4.5%
무주군 3
 
4.5%
완주군 2
 
3.0%
정읍시 2
 
3.0%
순창군 2
 
3.0%
임실군 2
 
3.0%
장계면 2
 
3.0%
Other values (36) 40
60.6%
2024-03-14T10:51:21.346443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
14.3%
면 26
 
11.3%
군 23
 
10.0%
시 13
 
5.6%
산 10
 
4.3%
동 7
 
3.0%
안 7
 
3.0%
장 6
 
2.6%
읍 6
 
2.6%
수 6
 
2.6%
Other values (54) 94
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
85.3%
Space Separator 33
 
14.3%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 26
 
13.2%
군 23
 
11.7%
시 13
 
6.6%
산 10
 
5.1%
동 7
 
3.6%
안 7
 
3.6%
장 6
 
3.0%
읍 6
 
3.0%
수 6
 
3.0%
주 6
 
3.0%
Other values (52) 87
44.2%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
85.3%
Common 34
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 26
 
13.2%
군 23
 
11.7%
시 13
 
6.6%
산 10
 
5.1%
동 7
 
3.6%
안 7
 
3.6%
장 6
 
3.0%
읍 6
 
3.0%
수 6
 
3.0%
주 6
 
3.0%
Other values (52) 87
44.2%
Common
ValueCountFrequency (%)
33
97.1%
, 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
85.3%
ASCII 34
 
14.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
97.1%
, 1
 
2.9%
Hangul
ValueCountFrequency (%)
면 26
 
13.2%
군 23
 
11.7%
시 13
 
6.6%
산 10
 
5.1%
동 7
 
3.6%
안 7
 
3.6%
장 6
 
3.0%
읍 6
 
3.0%
수 6
 
3.0%
주 6
 
3.0%
Other values (52) 87
44.2%

Unnamed: 2
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing1
Missing (%)2.9%
Memory size404.0 B
2024-03-14T10:51:21.576931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length18.30303
Min length7

Characters and Unicode

Total characters604
Distinct characters30
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row공 연 일 시
2nd row7.23(토) 14:00～15:00
3rd row7. 7(목) 13:50～15:00
4th row8.25(목) 12:30~13:40
5th row8.27(토) 17:00~18:20
ValueCountFrequency (%)
4
 
5.1%
14:00~15:20 3
 
3.8%
10.3(월 3
 
3.8%
9.24(토 3
 
3.8%
8.27(토 2
 
2.6%
15:20 2
 
2.6%
8.15(월 2
 
2.6%
17:00~18:20 2
 
2.6%
14:00 2
 
2.6%
13:00~14:20 2
 
2.6%
Other values (53) 53
67.9%
2024-03-14T10:51:21.917303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 111
18.4%
1 84
13.9%
: 58
9.6%
50
8.3%
. 34
 
5.6%
2 32
 
5.3%
( 30
 
5.0%
) 30
 
5.0%
3 29
 
4.8%
4 24
 
4.0%
Other values (20) 122
20.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 333
55.1%
Other Punctuation 92
 
15.2%
Space Separator 50
 
8.3%
Other Letter 39
 
6.5%
Open Punctuation 30
 
5.0%
Close Punctuation 30
 
5.0%
Math Symbol 30
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 13
33.3%
월 8
20.5%
목 3
 
7.7%
수 3
 
7.7%
일 3
 
7.7%
금 2
 
5.1%
중 1
 
2.6%
화 1
 
2.6%
하 1
 
2.6%
순 1
 
2.6%
Other values (3) 3
 
7.7%
Decimal Number
ValueCountFrequency (%)
0 111
33.3%
1 84
25.2%
2 32
 
9.6%
3 29
 
8.7%
4 24
 
7.2%
5 16
 
4.8%
9 15
 
4.5%
7 10
 
3.0%
8 9
 
2.7%
6 3
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 58
63.0%
. 34
37.0%
Math Symbol
ValueCountFrequency (%)
~ 24
80.0%
～ 6
 
20.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 565
93.5%
Hangul 39
 
6.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 111
19.6%
1 84
14.9%
: 58
10.3%
50
8.8%
. 34
 
6.0%
2 32
 
5.7%
( 30
 
5.3%
) 30
 
5.3%
3 29
 
5.1%
4 24
 
4.2%
Other values (7) 83
14.7%
Hangul
ValueCountFrequency (%)
토 13
33.3%
월 8
20.5%
목 3
 
7.7%
수 3
 
7.7%
일 3
 
7.7%
금 2
 
5.1%
중 1
 
2.6%
화 1
 
2.6%
하 1
 
2.6%
순 1
 
2.6%
Other values (3) 3
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 559
92.5%
Hangul 39
 
6.5%
None 6
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 111
19.9%
1 84
15.0%
: 58
10.4%
50
8.9%
. 34
 
6.1%
2 32
 
5.7%
( 30
 
5.4%
) 30
 
5.4%
3 29
 
5.2%
4 24
 
4.3%
Other values (6) 77
13.8%
Hangul
ValueCountFrequency (%)
토 13
33.3%
월 8
20.5%
목 3
 
7.7%
수 3
 
7.7%
일 3
 
7.7%
금 2
 
5.1%
중 1
 
2.6%
화 1
 
2.6%
하 1
 
2.6%
순 1
 
2.6%
Other values (3) 3
 
7.7%
None
ValueCountFrequency (%)
～ 6
100.0%

Unnamed: 3
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing1
Missing (%)2.9%
Memory size404.0 B
2024-03-14T10:51:22.124719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length13.606061
Min length7

Characters and Unicode

Total characters449
Distinct characters135
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

Unique33 ?
Unique (%)100.0%

Sample

1st row행 사 명
2nd row해신동 주민 한마음 대회
3rd row찾아오는 예술공연
4th row동양산업개발 사원 문화행사
5th row제3회 어울림 한마당
ValueCountFrequency (%)
날 11
 
10.3%
행사 6
 
5.6%
화합한마당 4
 
3.7%
한마음 3
 
2.8%
하나되는 2
 
1.9%
노인의 2
 
1.9%
면민의 2
 
1.9%
한마당 2
 
1.9%
면민의날 2
 
1.9%
함께하는 2
 
1.9%
Other values (70) 71
66.4%
2024-03-14T10:51:22.444320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
18.5%
민 19
 
4.2%
의 19
 
4.2%
면 18
 
4.0%
날 18
 
4.0%
한 12
 
2.7%
마 12
 
2.7%
사 11
 
2.4%
회 10
 
2.2%
화 9
 
2.0%
Other values (125) 238
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
76.4%
Space Separator 83
 
18.5%
Decimal Number 20
 
4.5%
Close Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
민 19
 
5.5%
의 19
 
5.5%
면 18
 
5.2%
날 18
 
5.2%
한 12
 
3.5%
마 12
 
3.5%
사 11
 
3.2%
회 10
 
2.9%
화 9
 
2.6%
행 9
 
2.6%
Other values (113) 206
60.1%
Decimal Number
ValueCountFrequency (%)
2 5
25.0%
1 3
15.0%
6 3
15.0%
0 3
15.0%
3 2
 
10.0%
4 2
 
10.0%
7 1
 
5.0%
9 1
 
5.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
․ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 343
76.4%
Common 106
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
민 19
 
5.5%
의 19
 
5.5%
면 18
 
5.2%
날 18
 
5.2%
한 12
 
3.5%
마 12
 
3.5%
사 11
 
3.2%
회 10
 
2.9%
화 9
 
2.6%
행 9
 
2.6%
Other values (113) 206
60.1%
Common
ValueCountFrequency (%)
83
78.3%
2 5
 
4.7%
1 3
 
2.8%
6 3
 
2.8%
0 3
 
2.8%
3 2
 
1.9%
4 2
 
1.9%
7 1
 
0.9%
) 1
 
0.9%
․ 1
 
0.9%
Other values (2) 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 343
76.4%
ASCII 105
 
23.4%
Punctuation 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
79.0%
2 5
 
4.8%
1 3
 
2.9%
6 3
 
2.9%
0 3
 
2.9%
3 2
 
1.9%
4 2
 
1.9%
7 1
 
1.0%
) 1
 
1.0%
9 1
 
1.0%
Hangul
ValueCountFrequency (%)
민 19
 
5.5%
의 19
 
5.5%
면 18
 
5.2%
날 18
 
5.2%
한 12
 
3.5%
마 12
 
3.5%
사 11
 
3.2%
회 10
 
2.9%
화 9
 
2.6%
행 9
 
2.6%
Other values (113) 206
60.1%
Punctuation
ValueCountFrequency (%)
․ 1
100.0%

Unnamed: 4
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing1
Missing (%)2.9%
Memory size404.0 B
2024-03-14T10:51:22.628946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length9.5151515
Min length5

Characters and Unicode

Total characters314
Distinct characters118
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row공 연 장 소
2nd row해망굴 광장일원
3rd row백화여고 시청각실
4th row동우화인켐 팔봉공장
5th row고소암 유원지
ValueCountFrequency (%)
운동장 5
 
7.9%
강당 2
 
3.2%
실내체육관 2
 
3.2%
두문마을 1
 
1.6%
공 1
 
1.6%
팔덕초등학교 1
 
1.6%
풍산초등학교 1
 
1.6%
부안스프츠파크 1
 
1.6%
위도해수욕장 1
 
1.6%
무대 1
 
1.6%
Other values (47) 47
74.6%
2024-03-14T10:51:22.939887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
10.5%
장 14
 
4.5%
원 10
 
3.2%
교 10
 
3.2%
공 9
 
2.9%
동 9
 
2.9%
학 9
 
2.9%
체 8
 
2.5%
초 8
 
2.5%
관 8
 
2.5%
Other values (108) 196
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
87.3%
Space Separator 33
 
10.5%
Close Punctuation 3
 
1.0%
Open Punctuation 3
 
1.0%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 14
 
5.1%
원 10
 
3.6%
교 10
 
3.6%
공 9
 
3.3%
동 9
 
3.3%
학 9
 
3.3%
체 8
 
2.9%
초 8
 
2.9%
관 8
 
2.9%
등 8
 
2.9%
Other values (104) 181
66.1%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
․ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
87.3%
Common 40
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 14
 
5.1%
원 10
 
3.6%
교 10
 
3.6%
공 9
 
3.3%
동 9
 
3.3%
학 9
 
3.3%
체 8
 
2.9%
초 8
 
2.9%
관 8
 
2.9%
등 8
 
2.9%
Other values (104) 181
66.1%
Common
ValueCountFrequency (%)
33
82.5%
) 3
 
7.5%
( 3
 
7.5%
․ 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
87.3%
ASCII 39
 
12.4%
Punctuation 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
84.6%
) 3
 
7.7%
( 3
 
7.7%
Hangul
ValueCountFrequency (%)
장 14
 
5.1%
원 10
 
3.6%
교 10
 
3.6%
공 9
 
3.3%
동 9
 
3.3%
학 9
 
3.3%
체 8
 
2.9%
초 8
 
2.9%
관 8
 
2.9%
등 8
 
2.9%
Other values (104) 181
66.1%
Punctuation
ValueCountFrequency (%)
․ 1
100.0%

Unnamed: 5
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size404.0 B

Correlations

2024-03-14T10:51:23.011873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
Unnamed: 11.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.000
Unnamed: 41.0001.0001.0001.000

Missing values

2024-03-14T10:51:20.661855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:51:20.754877image/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.
2024-03-14T10:51:20.851160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

신나는 예술버스 하반기 일정Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
0NaN<NA><NA><NA><NA>(단위 : 명)
1연번시군, 읍면동공 연 일 시행 사 명공 연 장 소관람예상인원
21군산시 해신동7.23(토) 14:00～15:00해신동 주민 한마음 대회해망굴 광장일원200
32장수군 장계면7. 7(목) 13:50～15:00찾아오는 예술공연백화여고 시청각실271
43익산시 팔봉동8.25(목) 12:30~13:40동양산업개발 사원 문화행사동우화인켐 팔봉공장120
54남원시 산동면8.27(토) 17:00~18:20제3회 어울림 한마당고소암 유원지500
65김제시 만경읍8.15(월) 09:00 ~ 10:20제9회 만경읍민의 날 행사만경고등학교 운동장 특설무대1500
76김제시 황산면8.27(토) 14:00 ~ 15:20황산면민의 날황산초등학교 운동장1000
87진안군 마령면8.15(월) 11:30~14:30마령면민의 날마령면초등학교300
98무주군 안성면8.13(토) 19:40~21:002016년 농촌축제(낙화놀이)두문마을 낙화놀이 공연장1000
신나는 예술버스 하반기 일정Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
2423완주군 삼례읍10.01(토) 13:00~14:20주민자치센터 개청식 및 60주년 읍민의 날삼례 주민자치센터1000
2524완주군 봉동읍10.10(월) 16:00~17:00제44회 봉동읍민의 날봉동읍 상장기 공원1000
2625진안군 상전면10.1(토) 09:30~10:30상전면민의날 화합한마당상전면 체련공원250
2726진안군 성수면10.3(월) 13:40~15:00제22회 성수면민의날 화합한마당성수면체련공원(미정)800
2827무주군 무풍면10.22(토) 12:00~13:20제27회 사과골 무풍면민의 날무풍면체육공원2000
2928장수군 장계면10.12(수) 12:40～14:00노인의 날 행사장계국민체육센터700
3029임실군 오수면10월 하순제31회 면민의 날 기념 한마음 체육대회오수의견공원 운동장500
3130부안군 위도면10.06(목) 14:00 ~ 15:20아름다운 고슴도치섬 화합한마당위도해수욕장 무대500
3231부안군 행안면10.09(일) 13:00 ~ 14:30한마음 한뜻으로 하나되는 행안부안스프츠파크 실내체육관500
3332임실군 관촌면11.11(금)지역주민과 함께하는 생신 잔치관촌 원광수양원 강당100