Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory54.0 B

Variable types

Numeric2
Text4

Dataset

Description전북특별자치도 신나는 예술버스 운행정보 데이터입니다. 시군,읍면동, 공연일, 행사명, 공연장소, 관람예상인원 등을 제공합니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055691/fileData.do

Alerts

연번 has unique valuesUnique
공 연 일 시 has unique valuesUnique
행 사 명 has unique valuesUnique
공 연 장 소 has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:28:20.048485
Analysis finished2024-03-15 00:28:22.145845
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-03-15T09:28:22.339210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-03-15T09:28:22.617368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

시군_읍면동
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T09:28:23.354386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters224
Distinct characters63
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

Unique30 ?
Unique (%)93.8%

Sample

1st row군산시 해신동
2nd row장수군 장계면
3rd row익산시 팔봉동
4th row남원시 산동면
5th row김제시 만경읍
ValueCountFrequency (%)
장수군 4
 
6.2%
익산시 3
 
4.7%
진안군 3
 
4.7%
남원시 3
 
4.7%
무주군 3
 
4.7%
군산시 2
 
3.1%
김제시 2
 
3.1%
부안군 2
 
3.1%
고창군 2
 
3.1%
순창군 2
 
3.1%
Other values (34) 38
59.4%
2024-03-15T09:28:24.541414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
14.3%
면 25
 
11.2%
군 22
 
9.8%
시 12
 
5.4%
산 10
 
4.5%
안 7
 
3.1%
장 6
 
2.7%
동 6
 
2.7%
주 6
 
2.7%
수 6
 
2.7%
Other values (53) 92
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
85.7%
Space Separator 32
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 25
 
13.0%
군 22
 
11.5%
시 12
 
6.2%
산 10
 
5.2%
안 7
 
3.6%
장 6
 
3.1%
동 6
 
3.1%
주 6
 
3.1%
수 6
 
3.1%
읍 5
 
2.6%
Other values (52) 87
45.3%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
85.7%
Common 32
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 25
 
13.0%
군 22
 
11.5%
시 12
 
6.2%
산 10
 
5.2%
안 7
 
3.6%
장 6
 
3.1%
동 6
 
3.1%
주 6
 
3.1%
수 6
 
3.1%
읍 5
 
2.6%
Other values (52) 87
45.3%
Common
ValueCountFrequency (%)
32
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
85.7%
ASCII 32
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
100.0%
Hangul
ValueCountFrequency (%)
면 25
 
13.0%
군 22
 
11.5%
시 12
 
6.2%
산 10
 
5.2%
안 7
 
3.6%
장 6
 
3.1%
동 6
 
3.1%
주 6
 
3.1%
수 6
 
3.1%
읍 5
 
2.6%
Other values (52) 87
45.3%

공 연 일 시
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T09:28:25.356075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length18.96875
Min length5

Characters and Unicode

Total characters607
Distinct characters27
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row07-23(토) 14:00~15:00
2nd row07-07(목) 13:50~15:00
3rd row08-25(목) 12:30~13:40
4th row08-27(토) 17:00~18:20
5th row08-15(월) 09:00~10:20
ValueCountFrequency (%)
14:00~15:20 6
 
9.4%
10-03(월 3
 
4.7%
08-15(월 3
 
4.7%
09-24(토 3
 
4.7%
13:00~14:20 2
 
3.1%
08-27(토 2
 
3.1%
17:00~18:20 2
 
3.1%
10-01(토 2
 
3.1%
09-07(수 2
 
3.1%
07-23(토 1
 
1.6%
Other values (38) 38
59.4%
2024-03-15T09:28:26.368720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 140
23.1%
1 84
13.8%
: 58
9.6%
- 32
 
5.3%
2 32
 
5.3%
32
 
5.3%
~ 29
 
4.8%
3 29
 
4.8%
( 29
 
4.8%
) 29
 
4.8%
Other values (17) 113
18.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 363
59.8%
Other Punctuation 58
 
9.6%
Other Letter 34
 
5.6%
Dash Punctuation 32
 
5.3%
Space Separator 32
 
5.3%
Math Symbol 30
 
4.9%
Open Punctuation 29
 
4.8%
Close Punctuation 29
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 140
38.6%
1 84
23.1%
2 32
 
8.8%
3 29
 
8.0%
4 24
 
6.6%
9 16
 
4.4%
5 16
 
4.4%
7 10
 
2.8%
8 9
 
2.5%
6 3
 
0.8%
Other Letter
ValueCountFrequency (%)
토 13
38.2%
월 8
23.5%
목 3
 
8.8%
수 3
 
8.8%
일 2
 
5.9%
중 1
 
2.9%
화 1
 
2.9%
금 1
 
2.9%
하 1
 
2.9%
순 1
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 29
96.7%
～ 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
: 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 573
94.4%
Hangul 34
 
5.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 140
24.4%
1 84
14.7%
: 58
10.1%
- 32
 
5.6%
2 32
 
5.6%
32
 
5.6%
~ 29
 
5.1%
3 29
 
5.1%
( 29
 
5.1%
) 29
 
5.1%
Other values (7) 79
13.8%
Hangul
ValueCountFrequency (%)
토 13
38.2%
월 8
23.5%
목 3
 
8.8%
수 3
 
8.8%
일 2
 
5.9%
중 1
 
2.9%
화 1
 
2.9%
금 1
 
2.9%
하 1
 
2.9%
순 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 572
94.2%
Hangul 34
 
5.6%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 140
24.5%
1 84
14.7%
: 58
10.1%
- 32
 
5.6%
2 32
 
5.6%
32
 
5.6%
~ 29
 
5.1%
3 29
 
5.1%
( 29
 
5.1%
) 29
 
5.1%
Other values (6) 78
13.6%
Hangul
ValueCountFrequency (%)
토 13
38.2%
월 8
23.5%
목 3
 
8.8%
수 3
 
8.8%
일 2
 
5.9%
중 1
 
2.9%
화 1
 
2.9%
금 1
 
2.9%
하 1
 
2.9%
순 1
 
2.9%
None
ValueCountFrequency (%)
～ 1
100.0%

행 사 명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T09:28:27.164496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18.5
Mean length13.59375
Min length7

Characters and Unicode

Total characters435
Distinct characters133
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row해신동 주민 한마음 대회
2nd row찾아오는 예술공연
3rd row동양산업개발 사원 문화행사
4th row제3회 어울림 한마당
5th row제9회 만경읍민의 날 행사
ValueCountFrequency (%)
날 11
 
10.6%
행사 6
 
5.8%
화합한마당 4
 
3.8%
한마음 3
 
2.9%
면민의날 2
 
1.9%
한마당 2
 
1.9%
노인의 2
 
1.9%
면민의 2
 
1.9%
하나되는 2
 
1.9%
함께하는 2
 
1.9%
Other values (67) 68
65.4%
2024-03-15T09:28:28.469650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
16.8%
의 19
 
4.4%
민 19
 
4.4%
면 18
 
4.1%
날 18
 
4.1%
한 12
 
2.8%
마 12
 
2.8%
사 10
 
2.3%
회 10
 
2.3%
화 9
 
2.1%
Other values (123) 235
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
78.2%
Space Separator 73
 
16.8%
Decimal Number 20
 
4.6%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 19
 
5.6%
민 19
 
5.6%
면 18
 
5.3%
날 18
 
5.3%
한 12
 
3.5%
마 12
 
3.5%
사 10
 
2.9%
회 10
 
2.9%
화 9
 
2.6%
당 8
 
2.4%
Other values (112) 205
60.3%
Decimal Number
ValueCountFrequency (%)
2 5
25.0%
1 3
15.0%
0 3
15.0%
6 3
15.0%
4 2
 
10.0%
3 2
 
10.0%
7 1
 
5.0%
9 1
 
5.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 340
78.2%
Common 95
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 19
 
5.6%
민 19
 
5.6%
면 18
 
5.3%
날 18
 
5.3%
한 12
 
3.5%
마 12
 
3.5%
사 10
 
2.9%
회 10
 
2.9%
화 9
 
2.6%
당 8
 
2.4%
Other values (112) 205
60.3%
Common
ValueCountFrequency (%)
73
76.8%
2 5
 
5.3%
1 3
 
3.2%
0 3
 
3.2%
6 3
 
3.2%
4 2
 
2.1%
3 2
 
2.1%
7 1
 
1.1%
9 1
 
1.1%
( 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
78.2%
ASCII 95
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
76.8%
2 5
 
5.3%
1 3
 
3.2%
0 3
 
3.2%
6 3
 
3.2%
4 2
 
2.1%
3 2
 
2.1%
7 1
 
1.1%
9 1
 
1.1%
( 1
 
1.1%
Hangul
ValueCountFrequency (%)
의 19
 
5.6%
민 19
 
5.6%
면 18
 
5.3%
날 18
 
5.3%
한 12
 
3.5%
마 12
 
3.5%
사 10
 
2.9%
회 10
 
2.9%
화 9
 
2.6%
당 8
 
2.4%
Other values (112) 205
60.3%

공 연 장 소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T09:28:29.215178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.46875
Min length5

Characters and Unicode

Total characters303
Distinct characters117
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row해망굴 광장일원
2nd row백화여고 시청각실
3rd row동우화인켐 팔봉공장
4th row고소암 유원지
5th row만경고등학교 운동장 특설무대
ValueCountFrequency (%)
운동장 5
 
8.5%
강당 2
 
3.4%
실내체육관 2
 
3.4%
해망굴 1
 
1.7%
상장기 1
 
1.7%
풍산초등학교 1
 
1.7%
대산면 1
 
1.7%
상하실내체육관 1
 
1.7%
웅포중학교 1
 
1.7%
옹동전통문화생활관 1
 
1.7%
Other values (43) 43
72.9%
2024-03-15T09:28:30.418155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
8.9%
장 13
 
4.3%
교 10
 
3.3%
원 10
 
3.3%
동 9
 
3.0%
학 9
 
3.0%
관 8
 
2.6%
초 8
 
2.6%
체 8
 
2.6%
등 8
 
2.6%
Other values (107) 193
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
89.1%
Space Separator 27
 
8.9%
Open Punctuation 3
 
1.0%
Close Punctuation 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 13
 
4.8%
교 10
 
3.7%
원 10
 
3.7%
동 9
 
3.3%
학 9
 
3.3%
관 8
 
3.0%
초 8
 
3.0%
체 8
 
3.0%
등 8
 
3.0%
공 8
 
3.0%
Other values (104) 179
66.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 270
89.1%
Common 33
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 13
 
4.8%
교 10
 
3.7%
원 10
 
3.7%
동 9
 
3.3%
학 9
 
3.3%
관 8
 
3.0%
초 8
 
3.0%
체 8
 
3.0%
등 8
 
3.0%
공 8
 
3.0%
Other values (104) 179
66.3%
Common
ValueCountFrequency (%)
27
81.8%
( 3
 
9.1%
) 3
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 270
89.1%
ASCII 33
 
10.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
81.8%
( 3
 
9.1%
) 3
 
9.1%
Hangul
ValueCountFrequency (%)
장 13
 
4.8%
교 10
 
3.7%
원 10
 
3.7%
동 9
 
3.3%
학 9
 
3.3%
관 8
 
3.0%
초 8
 
3.0%
체 8
 
3.0%
등 8
 
3.0%
공 8
 
3.0%
Other values (104) 179
66.3%

관람예상인원
Real number (ℝ)

Distinct16
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean675.65625
Minimum100
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size416.0 B
2024-03-15T09:28:30.696175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile164
Q1250
median500
Q31000
95-th percentile1725
Maximum2000
Range1900
Interquartile range (IQR)750

Descriptive statistics

Standard deviation526.31945
Coefficient of variation (CV)0.77897519
Kurtosis0.67425625
Mean675.65625
Median Absolute Deviation (MAD)300
Skewness1.1341086
Sum21621
Variance277012.17
MonotonicityNot monotonic
2024-03-15T09:28:31.048731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
500 5
15.6%
1000 5
15.6%
200 4
12.5%
300 3
9.4%
2000 2
 
6.2%
1500 2
 
6.2%
250 2
 
6.2%
100 1
 
3.1%
700 1
 
3.1%
800 1
 
3.1%
Other values (6) 6
18.8%
ValueCountFrequency (%)
100 1
 
3.1%
120 1
 
3.1%
200 4
12.5%
230 1
 
3.1%
250 2
 
6.2%
271 1
 
3.1%
300 3
9.4%
500 5
15.6%
600 1
 
3.1%
700 1
 
3.1%
ValueCountFrequency (%)
2000 2
 
6.2%
1500 2
 
6.2%
1200 1
 
3.1%
1000 5
15.6%
900 1
 
3.1%
800 1
 
3.1%
700 1
 
3.1%
600 1
 
3.1%
500 5
15.6%
300 3
9.4%

Interactions

2024-03-15T09:28:21.083661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:28:20.591420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:28:21.344352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:28:20.823684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:28:31.316288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군_읍면동공 연 일 시행 사 명공 연 장 소관람예상인원
연번1.0000.9371.0001.0001.0000.639
시군_읍면동0.9371.0001.0001.0001.0000.863
공 연 일 시1.0001.0001.0001.0001.0001.000
행 사 명1.0001.0001.0001.0001.0001.000
공 연 장 소1.0001.0001.0001.0001.0001.000
관람예상인원0.6390.8631.0001.0001.0001.000
2024-03-15T09:28:31.629529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관람예상인원
연번1.0000.193
관람예상인원0.1931.000

Missing values

2024-03-15T09:28:21.646115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:28:22.007236image/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

연번시군_읍면동공 연 일 시행 사 명공 연 장 소관람예상인원
01군산시 해신동07-23(토) 14:00~15:00해신동 주민 한마음 대회해망굴 광장일원200
12장수군 장계면07-07(목) 13:50~15:00찾아오는 예술공연백화여고 시청각실271
23익산시 팔봉동08-25(목) 12:30~13:40동양산업개발 사원 문화행사동우화인켐 팔봉공장120
34남원시 산동면08-27(토) 17:00~18:20제3회 어울림 한마당고소암 유원지500
45김제시 만경읍08-15(월) 09:00~10:20제9회 만경읍민의 날 행사만경고등학교 운동장 특설무대1500
56김제시 황산면08-27(토) 14:00~15:20황산면민의 날황산초등학교 운동장1000
67진안군 마령면08-15(월) 11:30~14:30마령면민의 날마령면초등학교300
78무주군 안성면08-13(토) 19:40~21:002016년 농촌축제(낙화놀이)두문마을 낙화놀이 공연장1000
89장수군 계북면08-15(월) 09:10~10:20계북면 면민의날 행사계북초교(참샘골체육관)900
910군산시 옥산면09-24(토) 13:00~14:00옥산면 면민의날 화합 한마당옥산초등학교200
연번시군_읍면동공 연 일 시행 사 명공 연 장 소관람예상인원
2223완주군 삼례읍10-01(토) 13:00~14:20주민자치센터 개청식 및 60주년 읍민의 날삼례 주민자치센터1000
2324완주군 봉동읍10-10(월) 16:00~17:00제44회 봉동읍민의 날봉동읍 상장기 공원1000
2425진안군 상전면10-01(토) 09:30~10:30상전면민의날 화합한마당상전면 체련공원250
2526진안군 성수면10-03(월) 13:40~15:00제22회 성수면민의날 화합한마당성수면체련공원(미정)800
2627무주군 무풍면10-22(토) 12:00~13:20제27회 사과골 무풍면민의 날무풍면체육공원2000
2728장수군 장계면10-12(수) 12:40～14:00노인의 날 행사장계국민체육센터700
2829임실군 오수면10월 하순제31회 면민의 날 기념 한마음 체육대회오수의견공원 운동장500
2930부안군 위도면10-06(목) 14:00~15:20아름다운 고슴도치섬 화합한마당위도해수욕장 무대500
3031부안군 행안면10-09(일) 13:00~14:30한마음 한뜻으로 하나되는 행안부안스프츠파크 실내체육관500
3132임실군 관촌면11-11지역주민과 함께하는 생신 잔치관촌 원광수양원 강당100