Overview

Dataset statistics

Number of variables25
Number of observations142
Missing cells43
Missing cells (%)1.2%
Duplicate rows1
Duplicate rows (%)0.7%
Total size in memory28.3 KiB
Average record size in memory203.9 B

Variable types

Text5
Categorical13
DateTime3
Numeric3
Boolean1

Dataset

Description전라북도_공연행사정보_20171122
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201912

Alerts

데이터기준일자 has constant value ""Constant
자료출처 has constant value ""Constant
Dataset has 1 (0.7%) duplicate rowsDuplicates
후원기관 is highly imbalanced (74.1%)Imbalance
관람요금 is highly imbalanced (54.9%)Imbalance
유의사항 is highly imbalanced (80.3%)Imbalance
객석수 has 34 (23.9%) missing valuesMissing
주차장보유여부 has 7 (4.9%) missing valuesMissing

Reproduction

Analysis started2024-03-14 02:16:38.443674
Analysis finished2024-03-14 02:16:39.047699
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행사명
Text

Distinct109
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T11:16:39.231717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length12.746479
Min length4

Characters and Unicode

Total characters1810
Distinct characters349
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

Unique97 ?
Unique (%)68.3%

Sample

1st row문화가 있는 날 행사
2nd row정읍시립국악단 상설공연
3rd row뮤지컬 국화꽃향기
4th row정읍시립국악단 상설공연
5th row시노래콘서트 안치환 정호승을 노래하다
ValueCountFrequency (%)
문화가 21
 
5.1%
있는날 20
 
4.9%
행사 14
 
3.4%
가족뮤지컬 9
 
2.2%
콘서트 7
 
1.7%
뮤지컬 7
 
1.7%
정읍시립국악단 6
 
1.5%
상설공연 6
 
1.5%
정기연주회 6
 
1.5%
음악회 5
 
1.2%
Other values (255) 309
75.4%
2024-03-14T11:16:39.611210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
 
14.8%
가 37
 
2.0%
연 32
 
1.8%
화 31
 
1.7%
는 29
 
1.6%
공 27
 
1.5%
악 27
 
1.5%
트 26
 
1.4%
지 25
 
1.4%
회 24
 
1.3%
Other values (339) 1284
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1439
79.5%
Space Separator 268
 
14.8%
Uppercase Letter 42
 
2.3%
Decimal Number 21
 
1.2%
Other Punctuation 13
 
0.7%
Lowercase Letter 11
 
0.6%
Dash Punctuation 6
 
0.3%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 37
 
2.6%
연 32
 
2.2%
화 31
 
2.2%
는 29
 
2.0%
공 27
 
1.9%
악 27
 
1.9%
트 26
 
1.8%
지 25
 
1.7%
회 24
 
1.7%
문 23
 
1.6%
Other values (300) 1158
80.5%
Uppercase Letter
ValueCountFrequency (%)
I 6
14.3%
T 4
9.5%
S 4
9.5%
A 4
9.5%
M 3
7.1%
C 3
7.1%
E 3
7.1%
Y 3
7.1%
N 3
7.1%
P 2
 
4.8%
Other values (6) 7
16.7%
Decimal Number
ValueCountFrequency (%)
2 5
23.8%
1 4
19.0%
0 4
19.0%
7 2
 
9.5%
6 2
 
9.5%
4 1
 
4.8%
5 1
 
4.8%
8 1
 
4.8%
9 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
s 3
27.3%
e 2
18.2%
v 2
18.2%
b 2
18.2%
i 1
 
9.1%
r 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 6
46.2%
& 4
30.8%
. 2
 
15.4%
? 1
 
7.7%
Space Separator
ValueCountFrequency (%)
268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1436
79.3%
Common 318
 
17.6%
Latin 53
 
2.9%
Han 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 37
 
2.6%
연 32
 
2.2%
화 31
 
2.2%
는 29
 
2.0%
공 27
 
1.9%
악 27
 
1.9%
트 26
 
1.8%
지 25
 
1.7%
회 24
 
1.7%
문 23
 
1.6%
Other values (298) 1155
80.4%
Latin
ValueCountFrequency (%)
I 6
 
11.3%
T 4
 
7.5%
S 4
 
7.5%
A 4
 
7.5%
M 3
 
5.7%
C 3
 
5.7%
E 3
 
5.7%
Y 3
 
5.7%
s 3
 
5.7%
N 3
 
5.7%
Other values (12) 17
32.1%
Common
ValueCountFrequency (%)
268
84.3%
, 6
 
1.9%
- 6
 
1.9%
) 5
 
1.6%
( 5
 
1.6%
2 5
 
1.6%
1 4
 
1.3%
& 4
 
1.3%
0 4
 
1.3%
7 2
 
0.6%
Other values (7) 9
 
2.8%
Han
ValueCountFrequency (%)
孝 2
66.7%
展 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1436
79.3%
ASCII 371
 
20.5%
CJK 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
72.2%
I 6
 
1.6%
, 6
 
1.6%
- 6
 
1.6%
) 5
 
1.3%
( 5
 
1.3%
2 5
 
1.3%
1 4
 
1.1%
T 4
 
1.1%
S 4
 
1.1%
Other values (29) 58
 
15.6%
Hangul
ValueCountFrequency (%)
가 37
 
2.6%
연 32
 
2.2%
화 31
 
2.2%
는 29
 
2.0%
공 27
 
1.9%
악 27
 
1.9%
트 26
 
1.8%
지 25
 
1.7%
회 24
 
1.7%
문 23
 
1.6%
Other values (298) 1155
80.4%
CJK
ValueCountFrequency (%)
孝 2
66.7%
展 1
33.3%

장소
Categorical

Distinct24
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
익산예술의전당
26 
솜리문화예술회관
26 
군산예술의전당 대공연장
15 
진안 문화의집 2층(마이홀)
12 
정읍사예술회관
7 
Other values (19)
56 

Length

Max length18
Median length14
Mean length9.1267606
Min length5

Unique

Unique8 ?
Unique (%)5.6%

Sample

1st row정읍사예술회관
2nd row정읍사공원특설무대
3rd row정읍사예술회관
4th row정읍사공원특설무대
5th row정읍사예술회관

Common Values

ValueCountFrequency (%)
익산예술의전당 26
18.3%
솜리문화예술회관 26
18.3%
군산예술의전당 대공연장 15
10.6%
진안 문화의집 2층(마이홀) 12
8.5%
정읍사예술회관 7
 
4.9%
기적의도서관 7
 
4.9%
정읍사공원특설무대 6
 
4.2%
부안예술회관 공연장 6
 
4.2%
순창군 향토회관 6
 
4.2%
중앙도서관 5
 
3.5%
Other values (14) 26
18.3%

Length

2024-03-14T11:16:39.734231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
익산예술의전당 28
13.4%
솜리문화예술회관 26
12.4%
군산예술의전당 20
 
9.6%
대공연장 20
 
9.6%
진안 12
 
5.7%
문화의집 12
 
5.7%
2층(마이홀 12
 
5.7%
정읍사예술회관 7
 
3.3%
기적의도서관 7
 
3.3%
정읍사공원특설무대 6
 
2.9%
Other values (20) 59
28.2%

행사내용
Text

Distinct59
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T11:16:39.988252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.4507042
Min length2

Characters and Unicode

Total characters774
Distinct characters184
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

Unique37 ?
Unique (%)26.1%

Sample

1st row우수작초청공연
2nd row시립국악단 상설공연
3rd row우수작초청공연
4th row시립국악단 상설공연
5th row우수작초청공연
ValueCountFrequency (%)
뮤지컬 13
 
7.0%
문화공연 12
 
6.4%
발표회 8
 
4.3%
다원예술 7
 
3.7%
아동극 7
 
3.7%
클래식 6
 
3.2%
시립국악단 6
 
3.2%
상설공연 6
 
3.2%
콘서트 6
 
3.2%
우수작초청공연 6
 
3.2%
Other values (83) 110
58.8%
2024-03-14T11:16:40.333627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45
 
5.8%
연 43
 
5.6%
공 36
 
4.7%
악 24
 
3.1%
화 24
 
3.1%
시 19
 
2.5%
지 15
 
1.9%
뮤 15
 
1.9%
문 15
 
1.9%
컬 14
 
1.8%
Other values (174) 524
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 715
92.4%
Space Separator 45
 
5.8%
Other Punctuation 5
 
0.6%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Decimal Number 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 43
 
6.0%
공 36
 
5.0%
악 24
 
3.4%
화 24
 
3.4%
시 19
 
2.7%
지 15
 
2.1%
뮤 15
 
2.1%
문 15
 
2.1%
컬 14
 
2.0%
극 13
 
1.8%
Other values (166) 497
69.5%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
& 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 715
92.4%
Common 59
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 43
 
6.0%
공 36
 
5.0%
악 24
 
3.4%
화 24
 
3.4%
시 19
 
2.7%
지 15
 
2.1%
뮤 15
 
2.1%
문 15
 
2.1%
컬 14
 
2.0%
극 13
 
1.8%
Other values (166) 497
69.5%
Common
ValueCountFrequency (%)
45
76.3%
, 4
 
6.8%
( 3
 
5.1%
) 3
 
5.1%
5 1
 
1.7%
& 1
 
1.7%
0 1
 
1.7%
- 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 715
92.4%
ASCII 59
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45
76.3%
, 4
 
6.8%
( 3
 
5.1%
) 3
 
5.1%
5 1
 
1.7%
& 1
 
1.7%
0 1
 
1.7%
- 1
 
1.7%
Hangul
ValueCountFrequency (%)
연 43
 
6.0%
공 36
 
5.0%
악 24
 
3.4%
화 24
 
3.4%
시 19
 
2.7%
지 15
 
2.1%
뮤 15
 
2.1%
문 15
 
2.1%
컬 14
 
2.0%
극 13
 
1.8%
Other values (166) 497
69.5%

행사시작일자
Date

Distinct94
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2016-03-30 00:00:00
Maximum2017-12-30 00:00:00
2024-03-14T11:16:40.646060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:16:40.746479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사종료일자
Date

Distinct95
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2016-03-30 00:00:00
Maximum2018-01-28 00:00:00
2024-03-14T11:16:40.872642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:16:41.046002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사시간
Text

Distinct61
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T11:16:41.260228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length10.5
Min length3

Characters and Unicode

Total characters1491
Distinct characters15
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

Unique31 ?
Unique (%)21.8%

Sample

1st row19:30~21:10
2nd row19:30~20:50
3rd row16:00~18:00
4th row19:30~20:50
5th row17:00~19:00
ValueCountFrequency (%)
19:00~20:00 13
 
8.9%
11:00~12:00 9
 
6.2%
19:30~21:00 8
 
5.5%
15:00~17:00 7
 
4.8%
14:00~15:00 6
 
4.1%
19:30~20:50 6
 
4.1%
16:00~17:00 6
 
4.1%
19:00~21:00 4
 
2.7%
15:00~21:00 4
 
2.7%
17:00~19:00 4
 
2.7%
Other values (52) 79
54.1%
2024-03-14T11:16:41.582256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 517
34.7%
: 272
18.2%
1 250
16.8%
~ 124
 
8.3%
2 73
 
4.9%
9 63
 
4.2%
3 57
 
3.8%
5 33
 
2.2%
7 31
 
2.1%
4 22
 
1.5%
Other values (5) 49
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1084
72.7%
Other Punctuation 276
 
18.5%
Math Symbol 124
 
8.3%
Space Separator 4
 
0.3%
Other Letter 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 517
47.7%
1 250
23.1%
2 73
 
6.7%
9 63
 
5.8%
3 57
 
5.3%
5 33
 
3.0%
7 31
 
2.9%
4 22
 
2.0%
6 20
 
1.8%
8 18
 
1.7%
Other Punctuation
ValueCountFrequency (%)
: 272
98.6%
, 4
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 124
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Letter
ValueCountFrequency (%)
시 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1488
99.8%
Hangul 3
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 517
34.7%
: 272
18.3%
1 250
16.8%
~ 124
 
8.3%
2 73
 
4.9%
9 63
 
4.2%
3 57
 
3.8%
5 33
 
2.2%
7 31
 
2.1%
4 22
 
1.5%
Other values (4) 46
 
3.1%
Hangul
ValueCountFrequency (%)
시 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1488
99.8%
Hangul 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 517
34.7%
: 272
18.3%
1 250
16.8%
~ 124
 
8.3%
2 73
 
4.9%
9 63
 
4.2%
3 57
 
3.8%
5 33
 
2.2%
7 31
 
2.1%
4 22
 
1.5%
Other values (4) 46
 
3.1%
Hangul
ValueCountFrequency (%)
시 3
100.0%

요금정보
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
무료
88 
유료
54 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료
2nd row무료
3rd row무료
4th row무료
5th row유료

Common Values

ValueCountFrequency (%)
무료 88
62.0%
유료 54
38.0%

Length

2024-03-14T11:16:41.698293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:16:41.791112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 88
62.0%
유료 54
38.0%

주관기관
Text

Distinct64
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T11:16:42.013089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.2746479
Min length2

Characters and Unicode

Total characters1033
Distinct characters177
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)31.7%

Sample

1st row세종공연예술센터
2nd row시립국악단
3rd row한국문화예술회관연합회,LSM Company
4th row시립국악단
5th row한국문화예술회관연합회,숨엔터테인먼트
ValueCountFrequency (%)
군산예술의전당 20
 
11.8%
진안군 12
 
7.1%
전라북도 12
 
7.1%
익산예술의전당 9
 
5.3%
기적의도서관 7
 
4.1%
시립국악단 6
 
3.6%
㈜나루기획 6
 
3.6%
신태인도서관 5
 
3.0%
중앙도서관 5
 
3.0%
음악학원 4
 
2.4%
Other values (64) 83
49.1%
2024-03-14T11:16:42.424497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 49
 
4.7%
예 45
 
4.4%
술 44
 
4.3%
의 39
 
3.8%
군 37
 
3.6%
산 37
 
3.6%
당 34
 
3.3%
도 30
 
2.9%
27
 
2.6%
관 27
 
2.6%
Other values (167) 664
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 937
90.7%
Space Separator 27
 
2.6%
Uppercase Letter 25
 
2.4%
Other Punctuation 13
 
1.3%
Close Punctuation 8
 
0.8%
Open Punctuation 8
 
0.8%
Other Symbol 8
 
0.8%
Lowercase Letter 6
 
0.6%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 49
 
5.2%
예 45
 
4.8%
술 44
 
4.7%
의 39
 
4.2%
군 37
 
3.9%
산 37
 
3.9%
당 34
 
3.6%
도 30
 
3.2%
관 27
 
2.9%
서 21
 
2.2%
Other values (142) 574
61.3%
Uppercase Letter
ValueCountFrequency (%)
M 4
16.0%
J 4
16.0%
C 3
12.0%
H 2
8.0%
B 2
8.0%
I 2
8.0%
T 2
8.0%
V 2
8.0%
N 1
 
4.0%
P 1
 
4.0%
Other values (2) 2
8.0%
Lowercase Letter
ValueCountFrequency (%)
y 1
16.7%
n 1
16.7%
a 1
16.7%
p 1
16.7%
m 1
16.7%
o 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 11
84.6%
. 2
 
15.4%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 945
91.5%
Common 57
 
5.5%
Latin 31
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 49
 
5.2%
예 45
 
4.8%
술 44
 
4.7%
의 39
 
4.1%
군 37
 
3.9%
산 37
 
3.9%
당 34
 
3.6%
도 30
 
3.2%
관 27
 
2.9%
서 21
 
2.2%
Other values (143) 582
61.6%
Latin
ValueCountFrequency (%)
M 4
12.9%
J 4
12.9%
C 3
 
9.7%
H 2
 
6.5%
B 2
 
6.5%
I 2
 
6.5%
T 2
 
6.5%
V 2
 
6.5%
N 1
 
3.2%
P 1
 
3.2%
Other values (8) 8
25.8%
Common
ValueCountFrequency (%)
27
47.4%
, 11
19.3%
) 8
 
14.0%
( 8
 
14.0%
. 2
 
3.5%
6 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 937
90.7%
ASCII 88
 
8.5%
None 8
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 49
 
5.2%
예 45
 
4.8%
술 44
 
4.7%
의 39
 
4.2%
군 37
 
3.9%
산 37
 
3.9%
당 34
 
3.6%
도 30
 
3.2%
관 27
 
2.9%
서 21
 
2.2%
Other values (142) 574
61.3%
ASCII
ValueCountFrequency (%)
27
30.7%
, 11
12.5%
) 8
 
9.1%
( 8
 
9.1%
M 4
 
4.5%
J 4
 
4.5%
C 3
 
3.4%
. 2
 
2.3%
H 2
 
2.3%
B 2
 
2.3%
Other values (14) 17
19.3%
None
ValueCountFrequency (%)
㈜ 8
100.0%

주최기관
Text

Distinct55
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T11:16:42.683994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length6.415493
Min length2

Characters and Unicode

Total characters911
Distinct characters151
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)26.1%

Sample

1st row정읍시
2nd row정읍시
3rd row정읍시+한국문화예술위원회
4th row정읍시
5th row정읍시+한국문화예술위원회
ValueCountFrequency (%)
전라북도 21
 
11.5%
군산시청 20
 
11.0%
익산시 14
 
7.7%
문화체육관광부 12
 
6.6%
정읍시 9
 
4.9%
극단 9
 
4.9%
기적의도서관 7
 
3.8%
순창군 6
 
3.3%
신태인도서관 5
 
2.7%
중앙도서관 5
 
2.7%
Other values (51) 74
40.7%
2024-03-14T11:16:43.248049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 55
 
6.0%
도 40
 
4.4%
40
 
4.4%
산 38
 
4.2%
관 34
 
3.7%
군 29
 
3.2%
전 27
 
3.0%
화 27
 
3.0%
문 26
 
2.9%
북 26
 
2.9%
Other values (141) 569
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
92.1%
Space Separator 40
 
4.4%
Uppercase Letter 10
 
1.1%
Math Symbol 6
 
0.7%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Other Punctuation 4
 
0.4%
Other Symbol 3
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 55
 
6.6%
도 40
 
4.8%
산 38
 
4.5%
관 34
 
4.1%
군 29
 
3.5%
전 27
 
3.2%
화 27
 
3.2%
문 26
 
3.1%
북 26
 
3.1%
라 25
 
3.0%
Other values (125) 512
61.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
20.0%
I 2
20.0%
H 1
10.0%
N 1
10.0%
V 1
10.0%
T 1
10.0%
J 1
10.0%
C 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 2
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Decimal Number
ValueCountFrequency (%)
6 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 842
92.4%
Common 59
 
6.5%
Latin 10
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 55
 
6.5%
도 40
 
4.8%
산 38
 
4.5%
관 34
 
4.0%
군 29
 
3.4%
전 27
 
3.2%
화 27
 
3.2%
문 26
 
3.1%
북 26
 
3.1%
라 25
 
3.0%
Other values (126) 515
61.2%
Latin
ValueCountFrequency (%)
M 2
20.0%
I 2
20.0%
H 1
10.0%
N 1
10.0%
V 1
10.0%
T 1
10.0%
J 1
10.0%
C 1
10.0%
Common
ValueCountFrequency (%)
40
67.8%
+ 6
 
10.2%
) 4
 
6.8%
( 4
 
6.8%
. 2
 
3.4%
, 2
 
3.4%
6 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
92.1%
ASCII 69
 
7.6%
None 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 55
 
6.6%
도 40
 
4.8%
산 38
 
4.5%
관 34
 
4.1%
군 29
 
3.5%
전 27
 
3.2%
화 27
 
3.2%
문 26
 
3.1%
북 26
 
3.1%
라 25
 
3.0%
Other values (125) 512
61.0%
ASCII
ValueCountFrequency (%)
40
58.0%
+ 6
 
8.7%
) 4
 
5.8%
( 4
 
5.8%
M 2
 
2.9%
I 2
 
2.9%
. 2
 
2.9%
, 2
 
2.9%
H 1
 
1.4%
N 1
 
1.4%
Other values (5) 5
 
7.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%

전화번호
Categorical

Distinct30
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
24 
063-454-5530
20 
063-859-3254
12 
063-430-2320
12 
063-539-6453
7 
Other values (25)
67 

Length

Max length12
Median length12
Mean length10.387324
Min length4

Unique

Unique12 ?
Unique (%)8.5%

Sample

1st row063-539-5175
2nd row063-539-6412
3rd row063-539-6413
4th row063-539-6412
5th row063-539-6413

Common Values

ValueCountFrequency (%)
<NA> 24
16.9%
063-454-5530 20
14.1%
063-859-3254 12
 
8.5%
063-430-2320 12
 
8.5%
063-539-6453 7
 
4.9%
063-539-6412 7
 
4.9%
063-650-1635 6
 
4.2%
063-580-3927 6
 
4.2%
063-539-6413 6
 
4.2%
1544-3694 6
 
4.2%
Other values (20) 36
25.4%

Length

2024-03-14T11:16:43.431055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 24
16.9%
063-454-5530 20
14.1%
063-859-3254 12
 
8.5%
063-430-2320 12
 
8.5%
063-539-6453 7
 
4.9%
063-539-6412 7
 
4.9%
063-650-1635 6
 
4.2%
063-580-3927 6
 
4.2%
063-539-6413 6
 
4.2%
1544-3694 6
 
4.2%
Other values (20) 36
25.4%

후원기관
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
127 
복권위원회,문화체육관광부
 
5
전라북도
 
4
한국문화예술위원회, 전라북도관광문화재단, 부안군
 
3
기획재정부 복권위원회, 문화체육관광부
 
1
Other values (2)
 
2

Length

Max length26
Median length4
Mean length4.9788732
Min length4

Unique

Unique3 ?
Unique (%)2.1%

Sample

1st row<NA>
2nd row<NA>
3rd row복권위원회,문화체육관광부
4th row<NA>
5th row복권위원회,문화체육관광부

Common Values

ValueCountFrequency (%)
<NA> 127
89.4%
복권위원회,문화체육관광부 5
 
3.5%
전라북도 4
 
2.8%
한국문화예술위원회, 전라북도관광문화재단, 부안군 3
 
2.1%
기획재정부 복권위원회, 문화체육관광부 1
 
0.7%
문화예술회관연합회 1
 
0.7%
한국문화예술회관연합회 1
 
0.7%

Length

2024-03-14T11:16:43.531889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:16:43.617525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 127
84.7%
복권위원회,문화체육관광부 5
 
3.3%
전라북도 4
 
2.7%
한국문화예술위원회 3
 
2.0%
전라북도관광문화재단 3
 
2.0%
부안군 3
 
2.0%
기획재정부 1
 
0.7%
복권위원회 1
 
0.7%
문화체육관광부 1
 
0.7%
문화예술회관연합회 1
 
0.7%

객석수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)14.8%
Missing34
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean656.03704
Minimum20
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-14T11:16:43.711824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile100
Q1290
median584
Q31100
95-th percentile1200
Maximum1200
Range1180
Interquartile range (IQR)810

Descriptive statistics

Standard deviation388.31243
Coefficient of variation (CV)0.59190626
Kurtosis-1.5028649
Mean656.03704
Median Absolute Deviation (MAD)374
Skewness0.11330858
Sum70852
Variance150786.54
MonotonicityNot monotonic
2024-03-14T11:16:43.801822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1100 26
18.3%
210 12
 
8.5%
1200 11
 
7.7%
290 8
 
5.6%
500 7
 
4.9%
465 6
 
4.2%
869 6
 
4.2%
499 6
 
4.2%
584 6
 
4.2%
603 6
 
4.2%
Other values (6) 14
9.9%
(Missing) 34
23.9%
ValueCountFrequency (%)
20 1
 
0.7%
22 1
 
0.7%
100 5
3.5%
200 5
3.5%
210 12
8.5%
290 8
5.6%
450 1
 
0.7%
465 6
4.2%
499 6
4.2%
500 7
4.9%
ValueCountFrequency (%)
1200 11
7.7%
1100 26
18.3%
869 6
 
4.2%
603 6
 
4.2%
600 1
 
0.7%
584 6
 
4.2%
500 7
 
4.9%
499 6
 
4.2%
465 6
 
4.2%
450 1
 
0.7%

관람요금
Categorical

IMBALANCE 

Distinct13
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
78 
무료
50 
2층5,000+3층3,000원
 
2
5000
 
2
20,000원
 
2
Other values (8)
8 

Length

Max length33
Median length4
Mean length4.3028169
Min length2

Unique

Unique8 ?
Unique (%)5.6%

Sample

1st row무료
2nd row무료
3rd row무료
4th row무료
5th row2층5,000+3층3,000원

Common Values

ValueCountFrequency (%)
<NA> 78
54.9%
무료 50
35.2%
2층5,000+3층3,000원 2
 
1.4%
5000 2
 
1.4%
20,000원 2
 
1.4%
유료 1
 
0.7%
R 50,000 S 40,000 A 20,000 1
 
0.7%
아이 10,000 성인5,000 1
 
0.7%
10,000원 1
 
0.7%
VIP 110,000원, R 70,000원, A 50,000 1
 
0.7%
Other values (3) 3
 
2.1%

Length

2024-03-14T11:16:43.906040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 78
50.0%
무료 50
32.1%
2층5,000+3층3,000원 2
 
1.3%
5000 2
 
1.3%
20,000원 2
 
1.3%
r 2
 
1.3%
50,000 2
 
1.3%
a 2
 
1.3%
vip 1
 
0.6%
s15,000원 1
 
0.6%
Other values (14) 14
 
9.0%

입장연령
Categorical

Distinct22
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전시민
29 
전체가
27 
8세이상
14 
전체관람가
12 
<NA>
10 
Other values (17)
50 

Length

Max length12
Median length10
Mean length4.4507042
Min length2

Unique

Unique8 ?
Unique (%)5.6%

Sample

1st row전시민
2nd row전시민
3rd row중학생이상
4th row전시민
5th row<NA>

Common Values

ValueCountFrequency (%)
전시민 29
20.4%
전체가 27
19.0%
8세이상 14
9.9%
전체관람가 12
8.5%
<NA> 10
 
7.0%
초등생이상관람가 9
 
6.3%
24개월이상 9
 
6.3%
제한없음 5
 
3.5%
전연령 가능 5
 
3.5%
유아 4
 
2.8%
Other values (12) 18
12.7%

Length

2024-03-14T11:16:44.018365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전시민 29
18.4%
전체가 27
17.1%
8세이상 14
8.9%
전체관람가 12
 
7.6%
na 10
 
6.3%
초등생이상관람가 9
 
5.7%
24개월이상 9
 
5.7%
전연령 6
 
3.8%
제한없음 5
 
3.2%
가능 5
 
3.2%
Other values (16) 32
20.3%

할인정보
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
57 
홈페이지 참조
54 
홈페이지참조
17 
무료
12 
예매 홈페이지 참조
 
2

Length

Max length10
Median length7
Mean length5.2957746
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row예매 홈페이지 참조

Common Values

ValueCountFrequency (%)
<NA> 57
40.1%
홈페이지 참조 54
38.0%
홈페이지참조 17
 
12.0%
무료 12
 
8.5%
예매 홈페이지 참조 2
 
1.4%

Length

2024-03-14T11:16:44.142425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:16:44.240325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
28.5%
홈페이지 56
28.0%
참조 56
28.0%
홈페이지참조 17
 
8.5%
무료 12
 
6.0%
예매 2
 
1.0%

유의사항
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
135 
행사시작 10분전 입장바림
 
6
산정상까지 등산
 
1

Length

Max length14
Median length4
Mean length4.4507042
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 135
95.1%
행사시작 10분전 입장바림 6
 
4.2%
산정상까지 등산 1
 
0.7%

Length

2024-03-14T11:16:44.348090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:16:44.439237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
87.1%
행사시작 6
 
3.9%
10분전 6
 
3.9%
입장바림 6
 
3.9%
산정상까지 1
 
0.6%
등산 1
 
0.6%

홈페이지주소
Categorical

Distinct9
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
http://arts.iksan.go.kr
54 
<NA>
46 
http://arts.gunsan.go.kr/index.gunsan
20 
www.buan.go.kr
6 
www.sunchang.go.kr
6 
Other values (4)
10 

Length

Max length37
Median length29
Mean length18.535211
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
http://arts.iksan.go.kr 54
38.0%
<NA> 46
32.4%
http://arts.gunsan.go.kr/index.gunsan 20
 
14.1%
www.buan.go.kr 6
 
4.2%
www.sunchang.go.kr 6
 
4.2%
http://jmlib.jeongeup.go.kr/ 4
 
2.8%
http://museum.jeongeup.go.kr/ 3
 
2.1%
http://cenlib.jeongeup.go.kr/ 2
 
1.4%
www.pilbong.co.kr 1
 
0.7%

Length

2024-03-14T11:16:44.530182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:16:44.628133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://arts.iksan.go.kr 54
38.0%
na 46
32.4%
http://arts.gunsan.go.kr/index.gunsan 20
 
14.1%
www.buan.go.kr 6
 
4.2%
www.sunchang.go.kr 6
 
4.2%
http://jmlib.jeongeup.go.kr 4
 
2.8%
http://museum.jeongeup.go.kr 3
 
2.1%
http://cenlib.jeongeup.go.kr 2
 
1.4%
www.pilbong.co.kr 1
 
0.7%

예매정보
Categorical

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
http://arts.iksan.go.kr
54 
<NA>
49 
http://www.kcn.tv/
20 
무료
12 
선착순 입장
 
5

Length

Max length23
Median length18
Mean length13.098592
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row티켓링크

Common Values

ValueCountFrequency (%)
http://arts.iksan.go.kr 54
38.0%
<NA> 49
34.5%
http://www.kcn.tv/ 20
 
14.1%
무료 12
 
8.5%
선착순 입장 5
 
3.5%
티켓링크 2
 
1.4%

Length

2024-03-14T11:16:44.738818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:16:44.830023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://arts.iksan.go.kr 54
36.7%
na 49
33.3%
http://www.kcn.tv 20
 
13.6%
무료 12
 
8.2%
선착순 5
 
3.4%
입장 5
 
3.4%
티켓링크 2
 
1.4%

주차장보유여부
Boolean

MISSING 

Distinct2
Distinct (%)1.5%
Missing7
Missing (%)4.9%
Memory size416.0 B
True
119 
False
16 
(Missing)
 
7
ValueCountFrequency (%)
True 119
83.8%
False 16
 
11.3%
(Missing) 7
 
4.9%
2024-03-14T11:16:44.915335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소재지도로명주소
Categorical

Distinct23
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전라북도 익산시 선화1로 106
27 
전라북도 익산시 동서로 490
27 
전라북도 군산시 백토로 203번지
20 
전라북도 정읍시 수성5로 45-5
7 
전라북도 정읍시 시기4길 13
7 
Other values (18)
54 

Length

Max length23
Median length21
Mean length17.830986
Min length15

Unique

Unique10 ?
Unique (%)7.0%

Sample

1st row전라북도 정읍시 시기4길 13
2nd row전라북도 정읍시 정읍사로 541 일원
3rd row전라북도 정읍시 시기4길 13
4th row전라북도 정읍시 정읍사로 541 일원
5th row전라북도 정읍시 시기4길 13

Common Values

ValueCountFrequency (%)
전라북도 익산시 선화1로 106 27
19.0%
전라북도 익산시 동서로 490 27
19.0%
전라북도 군산시 백토로 203번지 20
14.1%
전라북도 정읍시 수성5로 45-5 7
 
4.9%
전라북도 정읍시 시기4길 13 7
 
4.9%
전라북도 순창군 순창읍 장류로 407-11 6
 
4.2%
전라북도 정읍시 정읍사로 541 일원 6
 
4.2%
전라북도 남원시 양림길 43 6
 
4.2%
전라북도 진안군 진안읍 대성길 3 6
 
4.2%
전라북도 부안군 부안읍 예술회관길 11 6
 
4.2%
Other values (13) 24
16.9%

Length

2024-03-14T11:16:45.004414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 142
23.4%
익산시 54
 
8.9%
정읍시 36
 
5.9%
선화1로 27
 
4.4%
106 27
 
4.4%
동서로 27
 
4.4%
490 27
 
4.4%
군산시 20
 
3.3%
백토로 20
 
3.3%
203번지 20
 
3.3%
Other values (48) 207
34.1%

소재지지번주소
Categorical

Distinct16
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
36 
전라북도 익산시 어양동 735
27 
전라북도 익산시 마동 58
27 
전라북도 군산시 지곡동 286-8
20 
전라북도 부안군 부안읍 서외리 455-41
6 
Other values (11)
26 

Length

Max length24
Median length21
Mean length14.098592
Min length4

Unique

Unique8 ?
Unique (%)5.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
25.4%
전라북도 익산시 어양동 735 27
19.0%
전라북도 익산시 마동 58 27
19.0%
전라북도 군산시 지곡동 286-8 20
14.1%
전라북도 부안군 부안읍 서외리 455-41 6
 
4.2%
전라북도 진안군 진안읍 군하리 143 6
 
4.2%
전라북도 남원시 어현동37-69 6
 
4.2%
전라북도 순창군 순창읍 남계리 966-702 6
 
4.2%
전라북도 정읍시 시기동 530 1
 
0.7%
전라북도 진안군 진안읍 군하리 149 1
 
0.7%
Other values (6) 6
 
4.2%

Length

2024-03-14T11:16:45.121097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 106
22.1%
익산시 54
11.3%
na 36
 
7.5%
어양동 27
 
5.6%
735 27
 
5.6%
마동 27
 
5.6%
58 27
 
5.6%
지곡동 20
 
4.2%
286-8 20
 
4.2%
군산시 20
 
4.2%
Other values (27) 115
24.0%

위도
Real number (ℝ)

Distinct15
Distinct (%)10.6%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean36.432234
Minimum35.377093
Maximum127.15443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-14T11:16:45.218117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.377093
5-th percentile35.402465
Q135.584406
median35.94931
Q335.94931
95-th percentile35.961011
Maximum127.15443
Range91.777341
Interquartile range (IQR)0.3649043

Descriptive statistics

Standard deviation7.6973604
Coefficient of variation (CV)0.21127885
Kurtosis140.80548
Mean36.432234
Median Absolute Deviation (MAD)0.0117014
Skewness11.862128
Sum5136.945
Variance59.249356
MonotonicityNot monotonic
2024-03-14T11:16:45.307247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
35.94931 54
38.0%
35.9610114 20
 
14.1%
35.789166 12
 
8.5%
35.552924 7
 
4.9%
35.5844057 7
 
4.9%
35.552046 6
 
4.2%
35.724396 6
 
4.2%
35.402465 6
 
4.2%
35.377093 6
 
4.2%
35.689748 5
 
3.5%
Other values (5) 12
 
8.5%
ValueCountFrequency (%)
35.377093 6
4.2%
35.402465 6
4.2%
35.5277169 4
2.8%
35.552046 6
4.2%
35.552924 7
4.9%
35.557354 5
3.5%
35.560717 1
 
0.7%
35.5844057 7
4.9%
35.633203 1
 
0.7%
35.689748 5
3.5%
ValueCountFrequency (%)
127.1544344 1
 
0.7%
35.9610114 20
 
14.1%
35.94931 54
38.0%
35.789166 12
 
8.5%
35.724396 6
 
4.2%
35.689748 5
 
3.5%
35.633203 1
 
0.7%
35.5844057 7
 
4.9%
35.560717 1
 
0.7%
35.557354 5
 
3.5%

경도
Real number (ℝ)

Distinct15
Distinct (%)10.6%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean126.31837
Minimum35.535884
Maximum127.4235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-14T11:16:45.434145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.535884
5-th percentile126.70683
Q1126.86076
median126.98663
Q3126.98663
95-th percentile127.4235
Maximum127.4235
Range91.887614
Interquartile range (IQR)0.125865

Descriptive statistics

Standard deviation7.7025869
Coefficient of variation (CV)0.060977569
Kurtosis140.79713
Mean126.31837
Median Absolute Deviation (MAD)0.124778
Skewness-11.861597
Sum17810.89
Variance59.329844
MonotonicityNot monotonic
2024-03-14T11:16:45.600592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
126.986626 54
38.0%
126.7068277 20
 
14.1%
127.423498 12
 
8.5%
126.861552 7
 
4.9%
126.860761 7
 
4.9%
126.861848 6
 
4.2%
126.72551 6
 
4.2%
127.390104 6
 
4.2%
127.148179 6
 
4.2%
126.889898 5
 
3.5%
Other values (5) 12
 
8.5%
ValueCountFrequency (%)
35.5358842 1
 
0.7%
126.7068277 20
14.1%
126.72551 6
 
4.2%
126.828409 1
 
0.7%
126.856235 1
 
0.7%
126.860761 7
 
4.9%
126.861552 7
 
4.9%
126.861848 6
 
4.2%
126.866931 5
 
3.5%
126.889898 5
 
3.5%
ValueCountFrequency (%)
127.423498 12
 
8.5%
127.390104 6
 
4.2%
127.148179 6
 
4.2%
126.986626 54
38.0%
126.894646 4
 
2.8%
126.889898 5
 
3.5%
126.866931 5
 
3.5%
126.861848 6
 
4.2%
126.861552 7
 
4.9%
126.860761 7
 
4.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2017-11-22 00:00:00
Maximum2017-11-22 00:00:00
2024-03-14T11:16:45.679163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:16:45.766433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
문화예술과
142 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row문화예술과
2nd row문화예술과
3rd row문화예술과
4th row문화예술과
5th row문화예술과

Common Values

ValueCountFrequency (%)
문화예술과 142
100.0%

Length

2024-03-14T11:16:45.867594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:16:45.943640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화예술과 142
100.0%

Sample

행사명장소행사내용행사시작일자행사종료일자행사시간요금정보주관기관주최기관전화번호후원기관객석수관람요금입장연령할인정보유의사항홈페이지주소예매정보주차장보유여부소재지도로명주소소재지지번주소위도경도데이터기준일자자료출처
0문화가 있는 날 행사정읍사예술회관우수작초청공연2017-10-252017-10-2519:30~21:10무료세종공연예술센터정읍시063-539-5175<NA>600무료전시민<NA><NA><NA><NA><NA>전라북도 정읍시 시기4길 13<NA>35.552924126.8615522017-11-22문화예술과
1정읍시립국악단 상설공연정읍사공원특설무대시립국악단 상설공연2017-10-042017-10-0419:30~20:50무료시립국악단정읍시063-539-6412<NA>500무료전시민<NA><NA><NA><NA>Y전라북도 정읍시 정읍사로 541 일원<NA>35.552046126.8618482017-11-22문화예술과
2뮤지컬 국화꽃향기정읍사예술회관우수작초청공연2017-09-162017-09-1616:00~18:00무료한국문화예술회관연합회,LSM Company정읍시+한국문화예술위원회063-539-6413복권위원회,문화체육관광부603무료중학생이상<NA><NA><NA><NA>Y전라북도 정읍시 시기4길 13<NA>35.552924126.8615522017-11-22문화예술과
3정읍시립국악단 상설공연정읍사공원특설무대시립국악단 상설공연2017-09-052017-09-0519:30~20:50무료시립국악단정읍시063-539-6412<NA>500무료전시민<NA><NA><NA><NA>Y전라북도 정읍시 정읍사로 541 일원<NA>35.552046126.8618482017-11-22문화예술과
4시노래콘서트 안치환 정호승을 노래하다정읍사예술회관우수작초청공연2017-08-122017-08-1217:00~19:00유료한국문화예술회관연합회,숨엔터테인먼트정읍시+한국문화예술위원회063-539-6413복권위원회,문화체육관광부6032층5,000+3층3,000원<NA>예매 홈페이지 참조<NA><NA>티켓링크Y전라북도 정읍시 시기4길 13<NA>35.552924126.8615522017-11-22문화예술과
5정읍시립국악단 상설공연정읍사공원특설무대시립국악단 상설공연2017-08-062017-08-0619:30~20:50무료시립국악단정읍시063-539-6412<NA>500무료전시민<NA><NA><NA><NA>Y전라북도 정읍시 정읍사로 541 일원<NA>35.552046126.8618482017-11-22문화예술과
6한여름밤의 꿈정읍사예술회관우수작초청공연2017-07-222017-07-2216:00~17:20무료한국문화예술회관연합회,(재)원주문화재단정읍시+한국문화예술위원회063-539-6413복권위원회,문화체육관광부603무료전시민<NA><NA><NA><NA>Y전라북도 정읍시 시기4길 13<NA>35.552924126.8615522017-11-22문화예술과
7정읍시립국악단 상설공연정읍사공원특설무대시립국악단 상설공연2017-07-082017-07-0819:30~20:50무료시립국악단정읍시063-539-6412<NA>500무료전시민<NA><NA><NA><NA>Y전라북도 정읍시 정읍사로 541 일원<NA>35.552046126.8618482017-11-22문화예술과
8바이올리니스트 박지혜 힐링토크콘서트 다함께 대한민국정읍사예술회관우수작초청공연2017-06-242017-06-2416:00~17:40무료한국문화예술회관연합회,혜화JHP정읍시+한국문화예술위원회063-539-6413복권위원회,문화체육관광부603무료전시민<NA><NA><NA><NA>Y전라북도 정읍시 시기4길 13<NA>35.552924126.8615522017-11-22문화예술과
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행사명장소행사내용행사시작일자행사종료일자행사시간요금정보주관기관주최기관전화번호후원기관객석수관람요금입장연령할인정보유의사항홈페이지주소예매정보주차장보유여부소재지도로명주소소재지지번주소위도경도데이터기준일자자료출처# duplicates
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