Overview

Dataset statistics

Number of variables11
Number of observations48
Missing cells112
Missing cells (%)21.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory90.8 B

Variable types

Text7
DateTime3
Categorical1

Dataset

Description한국문화예술위원회에서 운영하는 국가문화예술지원시스템내 등록되어 있는 국고보조사업 문화축제 행사정보
Author한국문화예술위원회
URLhttps://www.data.go.kr/data/15016639/fileData.do

Alerts

축제명 has 1 (2.1%) missing valuesMissing
주최기관 has 4 (8.3%) missing valuesMissing
후원기관 has 30 (62.5%) missing valuesMissing
전화번호 has 17 (35.4%) missing valuesMissing
홈페이지주소 has 18 (37.5%) missing valuesMissing
관련정보 has 42 (87.5%) missing valuesMissing
개최장소 has unique valuesUnique
데이터기준일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:37:26.962843
Analysis finished2023-12-12 09:37:28.810488
Duration1.85 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

축제명
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing1
Missing (%)2.1%
Memory size516.0 B
2023-12-12T18:37:29.044791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length17.765957
Min length7

Characters and Unicode

Total characters835
Distinct characters225
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row제14회 서울 아시테지 겨울축제
2nd row2018 백운포 달맞이축제
3rd row제22회 정월대보름민속놀이한마당축제
4th row인디다큐페스티발2018
5th row서울프린지페스티벌2018
ValueCountFrequency (%)
2018 12
 
8.2%
페스티벌 6
 
4.1%
festival 3
 
2.1%
제39회 2
 
1.4%
서울 2
 
1.4%
2
 
1.4%
2
 
1.4%
함께하는 2
 
1.4%
제18회 2
 
1.4%
제14회 2
 
1.4%
Other values (111) 111
76.0%
2023-12-12T18:37:29.559687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
 
12.2%
44
 
5.3%
1 28
 
3.4%
2 24
 
2.9%
23
 
2.8%
8 20
 
2.4%
0 18
 
2.2%
16
 
1.9%
15
 
1.8%
15
 
1.8%
Other values (215) 530
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 493
59.0%
Decimal Number 106
 
12.7%
Space Separator 102
 
12.2%
Lowercase Letter 76
 
9.1%
Uppercase Letter 28
 
3.4%
Other Punctuation 16
 
1.9%
Dash Punctuation 6
 
0.7%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
8.9%
23
 
4.7%
16
 
3.2%
15
 
3.0%
15
 
3.0%
14
 
2.8%
14
 
2.8%
12
 
2.4%
11
 
2.2%
11
 
2.2%
Other values (162) 318
64.5%
Lowercase Letter
ValueCountFrequency (%)
a 12
15.8%
t 8
10.5%
i 8
10.5%
e 8
10.5%
n 7
9.2%
l 5
6.6%
s 5
6.6%
r 4
 
5.3%
c 4
 
5.3%
v 3
 
3.9%
Other values (9) 12
15.8%
Uppercase Letter
ValueCountFrequency (%)
N 3
10.7%
M 3
10.7%
S 3
10.7%
F 3
10.7%
O 3
10.7%
D 2
 
7.1%
I 2
 
7.1%
A 2
 
7.1%
U 1
 
3.6%
E 1
 
3.6%
Other values (5) 5
17.9%
Decimal Number
ValueCountFrequency (%)
1 28
26.4%
2 24
22.6%
8 20
18.9%
0 18
17.0%
3 4
 
3.8%
4 4
 
3.8%
9 3
 
2.8%
6 3
 
2.8%
5 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
' 6
37.5%
! 5
31.2%
" 4
25.0%
, 1
 
6.2%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 493
59.0%
Common 238
28.5%
Latin 104
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
8.9%
23
 
4.7%
16
 
3.2%
15
 
3.0%
15
 
3.0%
14
 
2.8%
14
 
2.8%
12
 
2.4%
11
 
2.2%
11
 
2.2%
Other values (162) 318
64.5%
Latin
ValueCountFrequency (%)
a 12
 
11.5%
t 8
 
7.7%
i 8
 
7.7%
e 8
 
7.7%
n 7
 
6.7%
l 5
 
4.8%
s 5
 
4.8%
r 4
 
3.8%
c 4
 
3.8%
v 3
 
2.9%
Other values (24) 40
38.5%
Common
ValueCountFrequency (%)
102
42.9%
1 28
 
11.8%
2 24
 
10.1%
8 20
 
8.4%
0 18
 
7.6%
- 6
 
2.5%
' 6
 
2.5%
! 5
 
2.1%
3 4
 
1.7%
" 4
 
1.7%
Other values (9) 21
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 493
59.0%
ASCII 342
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
29.8%
1 28
 
8.2%
2 24
 
7.0%
8 20
 
5.8%
0 18
 
5.3%
a 12
 
3.5%
t 8
 
2.3%
i 8
 
2.3%
e 8
 
2.3%
n 7
 
2.0%
Other values (43) 107
31.3%
Hangul
ValueCountFrequency (%)
44
 
8.9%
23
 
4.7%
16
 
3.2%
15
 
3.0%
15
 
3.0%
14
 
2.8%
14
 
2.8%
12
 
2.4%
11
 
2.2%
11
 
2.2%
Other values (162) 318
64.5%

개최장소
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-12T18:37:29.906350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length34.5
Mean length22.8125
Min length5

Characters and Unicode

Total characters1095
Distinct characters242
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row아르코예술극장 대극장, 아르코예술극장 소극장, 종로 아이들극장 외 대학로일대
2nd row부산 남구 백운포로 106 백운포체육공원 축구장
3rd row철원군 동송읍 장흥리 (고석정 국민관광지 내)
4th row롯데시네마 홍대입구
5th row서울월드컵경기장, 서울문화비축기지, 삼일로창고극장 외
ValueCountFrequency (%)
5
 
2.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
대극장 3
 
1.5%
일대 3
 
1.5%
아르코예술극장 3
 
1.5%
부산 2
 
1.0%
2
 
1.0%
특설무대 2
 
1.0%
Other values (157) 165
83.3%
2023-12-12T18:37:30.446233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
13.7%
, 47
 
4.3%
35
 
3.2%
31
 
2.8%
24
 
2.2%
22
 
2.0%
20
 
1.8%
18
 
1.6%
18
 
1.6%
17
 
1.6%
Other values (232) 713
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 819
74.8%
Space Separator 150
 
13.7%
Other Punctuation 50
 
4.6%
Decimal Number 25
 
2.3%
Uppercase Letter 20
 
1.8%
Open Punctuation 10
 
0.9%
Close Punctuation 10
 
0.9%
Lowercase Letter 7
 
0.6%
Math Symbol 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
4.3%
31
 
3.8%
24
 
2.9%
22
 
2.7%
20
 
2.4%
18
 
2.2%
18
 
2.2%
17
 
2.1%
16
 
2.0%
16
 
2.0%
Other values (195) 602
73.5%
Uppercase Letter
ValueCountFrequency (%)
K 3
15.0%
L 2
10.0%
G 2
10.0%
A 2
10.0%
C 2
10.0%
B 2
10.0%
T 1
 
5.0%
S 1
 
5.0%
V 1
 
5.0%
H 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
4 6
24.0%
2 4
16.0%
0 4
16.0%
1 4
16.0%
6 3
12.0%
3 2
 
8.0%
5 1
 
4.0%
7 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
14.3%
g 1
14.3%
a 1
14.3%
t 1
14.3%
j 1
14.3%
o 1
14.3%
b 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 47
94.0%
/ 2
 
4.0%
& 1
 
2.0%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
150
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 819
74.8%
Common 249
 
22.7%
Latin 27
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
4.3%
31
 
3.8%
24
 
2.9%
22
 
2.7%
20
 
2.4%
18
 
2.2%
18
 
2.2%
17
 
2.1%
16
 
2.0%
16
 
2.0%
Other values (195) 602
73.5%
Latin
ValueCountFrequency (%)
K 3
 
11.1%
L 2
 
7.4%
G 2
 
7.4%
A 2
 
7.4%
C 2
 
7.4%
B 2
 
7.4%
T 1
 
3.7%
e 1
 
3.7%
g 1
 
3.7%
a 1
 
3.7%
Other values (10) 10
37.0%
Common
ValueCountFrequency (%)
150
60.2%
, 47
 
18.9%
( 10
 
4.0%
) 10
 
4.0%
4 6
 
2.4%
2 4
 
1.6%
0 4
 
1.6%
1 4
 
1.6%
6 3
 
1.2%
/ 2
 
0.8%
Other values (7) 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 819
74.8%
ASCII 276
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
54.3%
, 47
 
17.0%
( 10
 
3.6%
) 10
 
3.6%
4 6
 
2.2%
2 4
 
1.4%
0 4
 
1.4%
1 4
 
1.4%
K 3
 
1.1%
6 3
 
1.1%
Other values (27) 35
 
12.7%
Hangul
ValueCountFrequency (%)
35
 
4.3%
31
 
3.8%
24
 
2.9%
22
 
2.7%
20
 
2.4%
18
 
2.2%
18
 
2.2%
17
 
2.1%
16
 
2.0%
16
 
2.0%
Other values (195) 602
73.5%
Distinct41
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2018-01-17 00:00:00
Maximum2018-12-18 00:00:00
2023-12-12T18:37:30.616280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:37:30.800447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
Distinct42
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2018-01-28 00:00:00
Maximum2018-12-23 00:00:00
2023-12-12T18:37:30.973354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:37:31.157336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

주관기관
Categorical

Distinct20
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size516.0 B
서울문화재단
13 
강원문화재단
<NA>
부산문화재단
경상북도
Other values (15)
15 

Length

Max length27
Median length6
Mean length7.6666667
Min length4

Unique

Unique15 ?
Unique (%)31.2%

Sample

1st row서울문화재단
2nd row한국문화예술위원회
3rd row강원문화재단
4th row인디다큐페스티발2018 집행위원회
5th row서울문화재단

Common Values

ValueCountFrequency (%)
서울문화재단 13
27.1%
강원문화재단 6
12.5%
<NA> 6
12.5%
부산문화재단 6
12.5%
경상북도 2
 
4.2%
데시그나레 무브먼트 / NDA조직위원회 1
 
2.1%
프라이드 리퍼블릭 1
 
2.1%
유어마인드 1
 
2.1%
제주문화예술재단 1
 
2.1%
콜라브엔소닉 1
 
2.1%
Other values (10) 10
20.8%

Length

2023-12-12T18:37:31.335546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울문화재단 13
23.2%
na 6
 
10.7%
부산문화재단 6
 
10.7%
강원문화재단 6
 
10.7%
경상북도 2
 
3.6%
사하가정폭력상담소 1
 
1.8%
극단도깨비 1
 
1.8%
서울연극제집행위원회 1
 
1.8%
사)한국예총삼척지회 1
 
1.8%
금강사신도회,금강사선다회,국제선차문화원,뉴욕백림사 1
 
1.8%
Other values (18) 18
32.1%

주최기관
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing4
Missing (%)8.3%
Memory size516.0 B
2023-12-12T18:37:31.672297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length9.6136364
Min length5

Characters and Unicode

Total characters423
Distinct characters171
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row(사)국제아동청소년연극협회 한국본부
2nd row철원문화원
3rd row(사)한국독립영화협회
4th row서울프린지네트워크, 서울프린지페스티벌 사무국
5th row부산차밭골문화원
ValueCountFrequency (%)
사단법인 3
 
4.7%
한국본부 2
 
3.1%
페스트만신창의 1
 
1.6%
한국마임협의회 1
 
1.6%
열린 1
 
1.6%
시민터 1
 
1.6%
해봄 1
 
1.6%
전국모노연합 1
 
1.6%
사)한국춤예술센터 1
 
1.6%
국제무용협회 1
 
1.6%
Other values (51) 51
79.7%
2023-12-12T18:37:32.209177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
4.7%
14
 
3.3%
13
 
3.1%
11
 
2.6%
9
 
2.1%
8
 
1.9%
8
 
1.9%
8
 
1.9%
( 8
 
1.9%
) 8
 
1.9%
Other values (161) 316
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
86.3%
Space Separator 20
 
4.7%
Lowercase Letter 15
 
3.5%
Open Punctuation 8
 
1.9%
Close Punctuation 8
 
1.9%
Uppercase Letter 3
 
0.7%
Other Punctuation 2
 
0.5%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
3.8%
13
 
3.6%
11
 
3.0%
9
 
2.5%
8
 
2.2%
8
 
2.2%
8
 
2.2%
7
 
1.9%
7
 
1.9%
7
 
1.9%
Other values (141) 273
74.8%
Lowercase Letter
ValueCountFrequency (%)
t 2
13.3%
r 2
13.3%
a 2
13.3%
c 2
13.3%
u 1
6.7%
b 1
6.7%
s 1
6.7%
o 1
6.7%
n 1
6.7%
h 1
6.7%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
I 1
33.3%
G 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
6 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
86.3%
Common 40
 
9.5%
Latin 18
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
3.8%
13
 
3.6%
11
 
3.0%
9
 
2.5%
8
 
2.2%
8
 
2.2%
8
 
2.2%
7
 
1.9%
7
 
1.9%
7
 
1.9%
Other values (141) 273
74.8%
Latin
ValueCountFrequency (%)
t 2
11.1%
r 2
11.1%
a 2
11.1%
c 2
11.1%
u 1
 
5.6%
b 1
 
5.6%
s 1
 
5.6%
o 1
 
5.6%
A 1
 
5.6%
I 1
 
5.6%
Other values (4) 4
22.2%
Common
ValueCountFrequency (%)
20
50.0%
( 8
 
20.0%
) 8
 
20.0%
, 2
 
5.0%
1 1
 
2.5%
6 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
86.3%
ASCII 58
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
34.5%
( 8
 
13.8%
) 8
 
13.8%
t 2
 
3.4%
r 2
 
3.4%
a 2
 
3.4%
, 2
 
3.4%
c 2
 
3.4%
u 1
 
1.7%
b 1
 
1.7%
Other values (10) 10
17.2%
Hangul
ValueCountFrequency (%)
14
 
3.8%
13
 
3.6%
11
 
3.0%
9
 
2.5%
8
 
2.2%
8
 
2.2%
8
 
2.2%
7
 
1.9%
7
 
1.9%
7
 
1.9%
Other values (141) 273
74.8%

후원기관
Text

MISSING 

Distinct16
Distinct (%)88.9%
Missing30
Missing (%)62.5%
Memory size516.0 B
2023-12-12T18:37:32.484525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length25.5
Mean length14.5
Min length3

Characters and Unicode

Total characters261
Distinct characters103
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)83.3%

Sample

1st row철원군, 강원도
2nd row부산광역시.부산문화재단.사)한국차인연합회.사)한국차학회.BTN.BBS
3rd row청년창조발전소고고씽job, 인문학창작소 이음, 액츄얼뷰, 유니온키드
4th row강원도, 강원문화재단, 삼척시, 삼척시의회
5th row부산자원순환협력센터
ValueCountFrequency (%)
강원문화재단 4
 
11.4%
서울문화재단 3
 
8.6%
강원도 3
 
8.6%
강원민예총 1
 
2.9%
산돌구름 1
 
2.9%
네이버 1
 
2.9%
제주문화예술재단 1
 
2.9%
마포구 1
 
2.9%
서울시 1
 
2.9%
한국출판사업진흥원 1
 
2.9%
Other values (18) 18
51.4%
2023-12-12T18:37:32.929691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
6.5%
, 15
 
5.7%
14
 
5.4%
13
 
5.0%
13
 
5.0%
10
 
3.8%
10
 
3.8%
8
 
3.1%
7
 
2.7%
5
 
1.9%
Other values (93) 149
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
80.8%
Other Punctuation 21
 
8.0%
Space Separator 17
 
6.5%
Uppercase Letter 6
 
2.3%
Lowercase Letter 3
 
1.1%
Close Punctuation 2
 
0.8%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
6.6%
13
 
6.2%
13
 
6.2%
10
 
4.7%
10
 
4.7%
8
 
3.8%
7
 
3.3%
5
 
2.4%
5
 
2.4%
5
 
2.4%
Other values (80) 121
57.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
S 1
 
16.7%
N 1
 
16.7%
T 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 15
71.4%
. 5
 
23.8%
/ 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
j 1
33.3%
b 1
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
80.8%
Common 41
 
15.7%
Latin 9
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
6.6%
13
 
6.2%
13
 
6.2%
10
 
4.7%
10
 
4.7%
8
 
3.8%
7
 
3.3%
5
 
2.4%
5
 
2.4%
5
 
2.4%
Other values (80) 121
57.3%
Latin
ValueCountFrequency (%)
B 3
33.3%
o 1
 
11.1%
j 1
 
11.1%
S 1
 
11.1%
N 1
 
11.1%
T 1
 
11.1%
b 1
 
11.1%
Common
ValueCountFrequency (%)
17
41.5%
, 15
36.6%
. 5
 
12.2%
) 2
 
4.9%
/ 1
 
2.4%
1 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211
80.8%
ASCII 50
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
34.0%
, 15
30.0%
. 5
 
10.0%
B 3
 
6.0%
) 2
 
4.0%
/ 1
 
2.0%
1 1
 
2.0%
o 1
 
2.0%
j 1
 
2.0%
S 1
 
2.0%
Other values (3) 3
 
6.0%
Hangul
ValueCountFrequency (%)
14
 
6.6%
13
 
6.2%
13
 
6.2%
10
 
4.7%
10
 
4.7%
8
 
3.8%
7
 
3.3%
5
 
2.4%
5
 
2.4%
5
 
2.4%
Other values (80) 121
57.3%

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing17
Missing (%)35.4%
Memory size516.0 B
2023-12-12T18:37:33.222273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.741935
Min length11

Characters and Unicode

Total characters364
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row02-745-5862
2nd row070-8271-5549
3rd row033-452-6235
4th row02-362-3163
5th row02-325-8150
ValueCountFrequency (%)
02-745-5862 1
 
3.2%
051-722-0855 1
 
3.2%
02-3474-7004 1
 
3.2%
033-241-1740 1
 
3.2%
02-3141-1377 1
 
3.2%
02-522-4184 1
 
3.2%
02-747-2357 1
 
3.2%
051-633-1390 1
 
3.2%
02-744-8066 1
 
3.2%
070-8821-8990 1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T18:37:33.626784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 62
17.0%
0 51
14.0%
2 40
11.0%
3 39
10.7%
5 34
9.3%
7 29
8.0%
1 28
7.7%
4 25
6.9%
8 24
 
6.6%
6 20
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 302
83.0%
Dash Punctuation 62
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
16.9%
2 40
13.2%
3 39
12.9%
5 34
11.3%
7 29
9.6%
1 28
9.3%
4 25
8.3%
8 24
7.9%
6 20
 
6.6%
9 12
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 62
17.0%
0 51
14.0%
2 40
11.0%
3 39
10.7%
5 34
9.3%
7 29
8.0%
1 28
7.7%
4 25
6.9%
8 24
 
6.6%
6 20
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 62
17.0%
0 51
14.0%
2 40
11.0%
3 39
10.7%
5 34
9.3%
7 29
8.0%
1 28
7.7%
4 25
6.9%
8 24
 
6.6%
6 20
 
5.5%

홈페이지주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing18
Missing (%)37.5%
Memory size516.0 B
2023-12-12T18:37:33.877906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length24.933333
Min length11

Characters and Unicode

Total characters748
Distinct characters38
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttp://www.assitejkorea.org
2nd rowhttp://www.sidof.org/
3rd rowhttp://www.seoulfringe.net
4th rowhttp://www.kumkangsa.or.kr/
5th rowhttp://www.stheater.or.kr
ValueCountFrequency (%)
http://newdanceforasia.com 1
 
3.3%
http://www.sidof.org 1
 
3.3%
http://www.haebom.org 1
 
3.3%
http://cafe.naver.com/itiki 1
 
3.3%
http://www.artsincubator.kr 1
 
3.3%
http://www.sfxseoul.org 1
 
3.3%
www.simf.kr 1
 
3.3%
http://spff.kr 1
 
3.3%
http://www.ac-school.net 1
 
3.3%
https://sdf1979.koreadanceassociation.org 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T18:37:34.349290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 79
 
10.6%
/ 69
 
9.2%
. 60
 
8.0%
w 52
 
7.0%
o 49
 
6.6%
a 39
 
5.2%
r 39
 
5.2%
h 37
 
4.9%
e 35
 
4.7%
p 32
 
4.3%
Other values (28) 257
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 575
76.9%
Other Punctuation 157
 
21.0%
Decimal Number 8
 
1.1%
Uppercase Letter 5
 
0.7%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 79
13.7%
w 52
 
9.0%
o 49
 
8.5%
a 39
 
6.8%
r 39
 
6.8%
h 37
 
6.4%
e 35
 
6.1%
p 32
 
5.6%
s 27
 
4.7%
c 25
 
4.3%
Other values (14) 161
28.0%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
9 2
25.0%
2 1
12.5%
0 1
12.5%
8 1
12.5%
7 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
A 1
20.0%
R 1
20.0%
T 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 69
43.9%
. 60
38.2%
: 28
17.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 580
77.5%
Common 168
 
22.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 79
13.6%
w 52
 
9.0%
o 49
 
8.4%
a 39
 
6.7%
r 39
 
6.7%
h 37
 
6.4%
e 35
 
6.0%
p 32
 
5.5%
s 27
 
4.7%
c 25
 
4.3%
Other values (18) 166
28.6%
Common
ValueCountFrequency (%)
/ 69
41.1%
. 60
35.7%
: 28
16.7%
- 3
 
1.8%
1 2
 
1.2%
9 2
 
1.2%
2 1
 
0.6%
0 1
 
0.6%
8 1
 
0.6%
7 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 79
 
10.6%
/ 69
 
9.2%
. 60
 
8.0%
w 52
 
7.0%
o 49
 
6.6%
a 39
 
5.2%
r 39
 
5.2%
h 37
 
4.9%
e 35
 
4.7%
p 32
 
4.3%
Other values (28) 257
34.4%

관련정보
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing42
Missing (%)87.5%
Memory size516.0 B
2023-12-12T18:37:34.729262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length115
Median length96
Mean length63.833333
Min length14

Characters and Unicode

Total characters383
Distinct characters151
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row평화통일자치도의 꿈을 현실로 이루고자 함에 발맞추고자 함
2nd row행복공동체를 만드는 교육, 복지중심의 지역시민단체입니다.
3rd row사)한국춤예술센터는 한국무용의 발전을 위하여 2010년 설립되었다. 한국무용의 발전을 위하여 소극장 장기공연을 주도하고 있으며 이러한 기치아래 국제 2인무 페스티벌, 한일 전통춤 류파전등을 개최하고 있다.
4th row다문화교육및 다문화예술교육
5th rowArts Incubator는 서울 기반의 뉴뮤직 청년 예술가들로 구성된 아티스트 콜렉티브이다. 동시대 음악인 뉴뮤직을 활성화하고 나아가 이를 대중화, 상업화 하기 위한 다양한 프로젝트를 기획, 제작한다.
ValueCountFrequency (%)
소극장 2
 
2.5%
위하여 2
 
2.5%
발전을 2
 
2.5%
한국무용의 2
 
2.5%
예약 2
 
2.5%
평화통일자치도의 1
 
1.2%
상업화 1
 
1.2%
프로젝트를 1
 
1.2%
다양한 1
 
1.2%
위한 1
 
1.2%
Other values (66) 66
81.5%
2023-12-12T18:37:35.193743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
 
19.8%
10
 
2.6%
8
 
2.1%
, 7
 
1.8%
7
 
1.8%
. 7
 
1.8%
6
 
1.6%
6
 
1.6%
0 6
 
1.6%
5
 
1.3%
Other values (141) 245
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 264
68.9%
Space Separator 76
 
19.8%
Decimal Number 15
 
3.9%
Other Punctuation 14
 
3.7%
Lowercase Letter 11
 
2.9%
Uppercase Letter 2
 
0.5%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10
 
3.8%
8
 
3.0%
7
 
2.7%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
5
 
1.9%
5
 
1.9%
5
 
1.9%
Other values (121) 202
76.5%
Lowercase Letter
ValueCountFrequency (%)
t 2
18.2%
r 2
18.2%
o 1
9.1%
a 1
9.1%
b 1
9.1%
u 1
9.1%
c 1
9.1%
n 1
9.1%
s 1
9.1%
Decimal Number
ValueCountFrequency (%)
0 6
40.0%
1 5
33.3%
2 2
 
13.3%
5 1
 
6.7%
8 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 7
50.0%
. 7
50.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 264
68.9%
Common 106
27.7%
Latin 13
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10
 
3.8%
8
 
3.0%
7
 
2.7%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
5
 
1.9%
5
 
1.9%
5
 
1.9%
Other values (121) 202
76.5%
Latin
ValueCountFrequency (%)
t 2
15.4%
r 2
15.4%
o 1
7.7%
a 1
7.7%
b 1
7.7%
u 1
7.7%
c 1
7.7%
n 1
7.7%
I 1
7.7%
s 1
7.7%
Common
ValueCountFrequency (%)
76
71.7%
, 7
 
6.6%
. 7
 
6.6%
0 6
 
5.7%
1 5
 
4.7%
2 2
 
1.9%
5 1
 
0.9%
) 1
 
0.9%
8 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 264
68.9%
ASCII 119
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
63.9%
, 7
 
5.9%
. 7
 
5.9%
0 6
 
5.0%
1 5
 
4.2%
t 2
 
1.7%
2 2
 
1.7%
r 2
 
1.7%
5 1
 
0.8%
) 1
 
0.8%
Other values (10) 10
 
8.4%
Hangul
ValueCountFrequency (%)
10
 
3.8%
8
 
3.0%
7
 
2.7%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
5
 
1.9%
5
 
1.9%
5
 
1.9%
Other values (121) 202
76.5%
Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2017-11-17 17:30:20
Maximum2018-10-12 19:01:18
2023-12-12T18:37:35.359291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:37:35.543907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

Correlations

2023-12-12T18:37:35.680623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
축제명개최장소축제시작일자축제종료일자주관기관주최기관후원기관전화번호홈페이지주소관련정보데이터기준일자
축제명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
개최장소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
축제시작일자1.0001.0001.0000.9870.9541.0001.0001.0001.0001.0001.000
축제종료일자1.0001.0000.9871.0000.6951.0000.9271.0001.0001.0001.000
주관기관1.0001.0000.9540.6951.0001.0000.8691.0001.0001.0001.000
주최기관1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
후원기관1.0001.0001.0000.9270.8691.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
관련정보1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
데이터기준일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T18:37:28.285969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:37:28.524285image/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.
2023-12-12T18:37:28.700888image/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

축제명개최장소축제시작일자축제종료일자주관기관주최기관후원기관전화번호홈페이지주소관련정보데이터기준일자
0제14회 서울 아시테지 겨울축제아르코예술극장 대극장, 아르코예술극장 소극장, 종로 아이들극장 외 대학로일대2018-01-172018-01-28서울문화재단(사)국제아동청소년연극협회 한국본부<NA>02-745-5862http://www.assitejkorea.org<NA>11-17-2017 17:30:20
12018 백운포 달맞이축제부산 남구 백운포로 106 백운포체육공원 축구장2018-02-012018-03-31한국문화예술위원회<NA><NA>070-8271-5549<NA><NA>01-26-2018 14:15:03
2제22회 정월대보름민속놀이한마당축제철원군 동송읍 장흥리 (고석정 국민관광지 내)2018-03-022018-03-02강원문화재단철원문화원철원군, 강원도033-452-6235<NA><NA>04-12-2018 11:51:17
3인디다큐페스티발2018롯데시네마 홍대입구2018-03-222018-03-29인디다큐페스티발2018 집행위원회(사)한국독립영화협회<NA>02-362-3163http://www.sidof.org/<NA>04-04-2018 14:19:57
4서울프린지페스티벌2018서울월드컵경기장, 서울문화비축기지, 삼일로창고극장 외2018-04-012018-11-30서울문화재단서울프린지네트워크, 서울프린지페스티벌 사무국<NA>02-325-8150http://www.seoulfringe.net<NA>09-04-2018 17:48:34
5제14회부산차밭골문화제부산 금정산 금강공원 일원2018-04-072018-04-08금강사신도회,금강사선다회,국제선차문화원,뉴욕백림사부산차밭골문화원부산광역시.부산문화재단.사)한국차인연합회.사)한국차학회.BTN.BBS<NA>http://www.kumkangsa.or.kr/<NA>03-27-2018 10:15:21
6부산골목이야기'골목대장'청년창조발전소고고씽job3층 문화예술공연장2018-04-262018-06-28극단도깨비극단도깨비청년창조발전소고고씽job, 인문학창작소 이음, 액츄얼뷰, 유니온키드<NA><NA><NA>04-09-2018 10:23:51
72018 제39회 서울연극제아르코예술극장(대,소),대학로예술극장(대,소), 유니플렉스 2관, 아트원시어터3관 , 마로니에공원2018-04-282018-05-29서울연극제집행위원회서울연극협회<NA>02-765-7500http://www.stheater.or.kr<NA>04-19-2018 17:28:41
82018 거리미술 -기억을 그리다-북한강자전거길(공지천~춘천MBC~상상마당), 춘천 공지천 분수대옆, 조각공원, , 춘천미술관 제2전시실2018-05-042018-06-17강원문화재단춘천미술협회<NA>033-241-1856http://cafe.daum.net/CCART<NA>04-10-2018 09:26:39
9제18회 삼척청소년종합예술제삼척문화예술획관 대, 소공연장 및 제1, 2전시실, 삼척시 장미공원 특설무대2018-05-202018-05-26(사)한국예총삼척지회(사)한국예총삼척지회강원도, 강원문화재단, 삼척시, 삼척시의회033-574-6961<NA><NA>05-15-2018 09:28:44
축제명개최장소축제시작일자축제종료일자주관기관주최기관후원기관전화번호홈페이지주소관련정보데이터기준일자
38제10회 언리미티드 에디션 - 서울아트북페어 2018서울시립 북서울미술관2018-10-202018-10-21유어마인드유어마인드, 서울시립미술관네이버, 산돌구름070-8821-8990http://unlimited-edition.org/<NA>09-28-2018 10:40:07
39제39회 서울무용제아르코예술극장 대극장 / 국립극장KB청소년하늘극장/ 상명아트센터 계당홀, 아트홀, 갤러리2018-10-222018-12-04서울문화재단사단법인 한국무용협회<NA>02-744-8066https://sdf1979.koreadanceassociation.org<NA>09-27-2018 14:20:19
40제6회 세계귀신축제아시아공동체학교2018-10-262018-10-28부산문화재단<NA><NA>051-633-1390http://www.ac-school.net다문화교육및 다문화예술교육10-10-2018 14:20:45
412018 서울프라이드페스티벌CGV명동역점 씨네라이브러리, 동대문디자인플라자2018-10-272018-11-07프라이드 리퍼블릭프라이드 리퍼블릭서울문화재단02-747-2357http://spff.kr<NA>08-13-2018 16:46:44
422018 서울국제음악제예술의전당(음악당), 롯데콘서트홀, 세종문화회관체임버홀 외 서울시내 공연장2018-11-012018-11-11서울문화재단서울국제음악제<NA>02-522-4184www.simf.kr<NA>08-31-2018 14:15:22
43사운드 이펙트 서울 2018대안공간루프2018-11-092018-12-09서울문화재단사운드 아트 코리아서울문화재단02-3141-1377http://www.sfxseoul.org<NA>08-07-2018 10:33:21
44친환경솔루션 환경운동 힐링음악회부산광역시 동구청 대강당2018-11-092018-11-09<NA>(사)한국전통가요진흥협회부산광역시지회<NA><NA><NA><NA>10-11-2018 11:52:13
45뉴뮤직 아트마켓 atm 2018문화비축기지2018-11-182018-11-24서울문화재단Arts Incubator문화비축기지<NA>http://www.artsincubator.krArts Incubator는 서울 기반의 뉴뮤직 청년 예술가들로 구성된 아티스트 콜렉티브이다. 동시대 음악인 뉴뮤직을 활성화하고 나아가 이를 대중화, 상업화 하기 위한 다양한 프로젝트를 기획, 제작한다.06-15-2018 15:14:25
462018년 작은 겨울아동극 축제춘천소극장여우2018-11-302018-12-23여우컴퍼니여우컴퍼니강원문화재단033-241-1740http://cafe.naver.com/itiki11월 10일 네이버 카페 소극장 여우에서 정식 로픈 및 예약 신청을 받습니다. 티켓 가격은 1만원, 단체 5천원, 예약 8,000원 입니다.10-12-2018 19:01:18
47제3회 부산 아트 영화제영화의전당2018-12-182018-12-20부산문화재단스카이스트<NA>051-746-0407http://busanartfilmfestival.org<NA>10-05-2018 16:20:29